Cocoon - Data Modeling

We display the source tables from the data warehouses to model.

call_center (first 100 rows)

	CC_CALL_CENTER_SK	CC_CALL_CENTER_ID	CC_REC_START_DATE	CC_REC_END_DATE	CC_CLOSED_DATE_SK	CC_OPEN_DATE_SK	CC_NAME	CC_CLASS	CC_EMPLOYEES	CC_SQ_FT	CC_HOURS	CC_MANAGER	CC_MKT_ID	CC_MKT_CLASS	CC_MKT_DESC	CC_MARKET_MANAGER	CC_DIVISION	CC_DIVISION_NAME	CC_COMPANY	CC_COMPANY_NAME	CC_STREET_NUMBER	CC_STREET_NAME	CC_STREET_TYPE	CC_SUITE_NUMBER	CC_CITY	CC_COUNTY	CC_STATE	CC_ZIP	CC_COUNTRY	CC_GMT_OFFSET	CC_TAX_PERCENTAGE
0	1	AAAAAAAABAAAAAAA	1998-01-01	None	NaN	2450952	NY Metro	large	2	1138	8AM-4PM	Bob Belcher	6	More than other authori	Shared others could not count fully dollars. New members ca	Julius Tran	3	pri	6	cally	730	Ash Hill	Boulevard	Suite 0	Midway	Williamson County	TN	31904	United States	-5	0.11
1	2	AAAAAAAACAAAAAAA	1998-01-01	2000-12-31	NaN	2450806	Mid Atlantic	medium	6	2268	8AM-8AM	Felipe Perkins	2	A bit narrow forms matter animals. Consist	Largely blank years put substantially deaf, new others. Question	Julius Durham	5	anti	1	ought	984	Center Hill	Way	Suite 70	Midway	Williamson County	TN	31904	United States	-5	0.12

catalog_page (first 100 rows)

	CP_CATALOG_PAGE_SK	CP_CATALOG_PAGE_ID	CP_START_DATE_SK	CP_END_DATE_SK	CP_DEPARTMENT	CP_CATALOG_NUMBER	CP_CATALOG_PAGE_NUMBER	CP_DESCRIPTION	CP_TYPE
0	1	AAAAAAAABAAAAAAA	2450815	2450996.0	DEPARTMENT	1	1.0	In general basic characters welcome. Clearly lively friends conv	bi-annual
1	2	AAAAAAAACAAAAAAA	2450815	2450996.0	DEPARTMENT	1	2.0	English areas will leave prisoners. Too public countries ought to become beneath the years.	bi-annual
2	3	AAAAAAAADAAAAAAA	2450815	2450996.0	DEPARTMENT	1	3.0	Times could not address disabled indians. Effectively public ports c	bi-annual
3	4	AAAAAAAAEAAAAAAA	2450815	NaN	None	1	NaN	None	bi-annual
4	5	AAAAAAAAFAAAAAAA	2450815	2450996.0	DEPARTMENT	1	5.0	Classic buildings ensure in a tests. Real years may not receive open systems. Now broad m	bi-annual
5	6	AAAAAAAAGAAAAAAA	2450815	2450996.0	DEPARTMENT	1	6.0	Exciting principles wish greatly only excellent women. Appropriate fortunes shall not	bi-annual
6	7	AAAAAAAAHAAAAAAA	2450815	2450996.0	DEPARTMENT	1	7.0	National services must not come at least into a girls	bi-annual
7	8	AAAAAAAAIAAAAAAA	2450815	2450996.0	DEPARTMENT	1	8.0	Areas see early for a pounds. New goods study too serious women. Unwittingly sorry incentives shall	bi-annual
8	9	AAAAAAAAJAAAAAAA	2450815	2450996.0	DEPARTMENT	1	9.0	Intensive, economic changes resist bloody of course simple economies;	bi-annual
9	10	AAAAAAAAKAAAAAAA	2450815	2450996.0	DEPARTMENT	1	10.0	Careful, intense funds balance perhaps boys. Romantic chips remove legs. Direct birds get	bi-annual
10	11	AAAAAAAALAAAAAAA	2450815	2450996.0	DEPARTMENT	1	11.0	At least national countries live by an sales. Weap	bi-annual
11	12	AAAAAAAAMAAAAAAA	2450815	2450996.0	DEPARTMENT	1	12.0	Girls indicate so in a countries. Natural, emotional weeks try a	bi-annual
12	13	AAAAAAAANAAAAAAA	2450815	2450996.0	DEPARTMENT	1	13.0	Miles see mainly clear hands. Villages finish there blue figures. Moreover wide students travel poo	bi-annual
13	14	AAAAAAAAOAAAAAAA	2450815	2450996.0	DEPARTMENT	1	14.0	Rooms would say ago economic sections. Essential properties might not support groups. Ago rare eye	bi-annual
14	15	AAAAAAAAPAAAAAAA	2450815	2450996.0	DEPARTMENT	1	15.0	Legal, required ends may not improve in the pictures. Really social structur	bi-annual
15	16	AAAAAAAAABAAAAAA	2450815	2450996.0	DEPARTMENT	1	16.0	Schools must know now empty legs; generally daily children use sharp, loca	bi-annual
16	17	AAAAAAAABBAAAAAA	2450815	2450996.0	DEPARTMENT	1	17.0	More than true carers can ensure at a officers. Candidates s	bi-annual
17	18	AAAAAAAACBAAAAAA	2450815	2450996.0	DEPARTMENT	1	18.0	Shops end problems. Urban experiences play new stores. Institutions order as residential places.	bi-annual
18	19	AAAAAAAADBAAAAAA	2450815	2450996.0	DEPARTMENT	1	19.0	Poor, hostile guidelines could hope alone early things. Secret,	bi-annual
19	20	AAAAAAAAEBAAAAAA	2450815	2450996.0	DEPARTMENT	1	20.0	Appropriate years kill. Probably male units come perhaps between the minutes.	bi-annual
20	21	AAAAAAAAFBAAAAAA	2450815	2450996.0	DEPARTMENT	1	21.0	Gentle fields understand forward high parental faciliti	bi-annual
21	22	AAAAAAAAGBAAAAAA	2450815	2450996.0	DEPARTMENT	1	22.0	Square, good women can refuse. Women allow over courses. Entire, dail	bi-annual
22	23	AAAAAAAAHBAAAAAA	2450815	2450996.0	DEPARTMENT	1	23.0	Level, ordinary names would change institutional principles. Fe	bi-annual
23	24	AAAAAAAAIBAAAAAA	2450815	2450996.0	DEPARTMENT	1	24.0	For once public conditions could help even single, free vehicles. Soldi	bi-annual
24	25	AAAAAAAAJBAAAAAA	2450815	2450996.0	DEPARTMENT	1	25.0	Dimensions ensure by a enquiries. Special times may practise much full, bad books; l	bi-annual
25	26	AAAAAAAAKBAAAAAA	2450815	2450996.0	DEPARTMENT	1	26.0	Nervously reasonable sanctions would not supply often structures. National dangers relieve never	bi-annual
26	27	AAAAAAAALBAAAAAA	2450815	2450996.0	DEPARTMENT	1	27.0	Ready restaurants can represent previously perfectly educational thanks; adjacent quantities t	bi-annual
27	28	AAAAAAAAMBAAAAAA	2450815	2450996.0	DEPARTMENT	1	28.0	Also new funds must not find in addition essential poor friends; now	bi-annual
28	29	AAAAAAAANBAAAAAA	2450815	2450996.0	DEPARTMENT	1	29.0	Small circumstances enter almost potentially spare individuals. Residential women launch	bi-annual
29	30	AAAAAAAAOBAAAAAA	2450815	2450996.0	DEPARTMENT	1	30.0	Western, legislative courses cause truly else strange costs. Only grey windows come without a depo	bi-annual
30	31	AAAAAAAAPBAAAAAA	2450815	2450996.0	DEPARTMENT	1	31.0	Differences would complete previously at a notes. Important	bi-annual
31	32	AAAAAAAAACAAAAAA	2450815	2450996.0	DEPARTMENT	1	32.0	Quickly industrial trousers remember poor, practica	bi-annual
32	33	AAAAAAAABCAAAAAA	2450815	2450996.0	DEPARTMENT	1	33.0	Here divine knees could not recall then before a meals. Resources use commercial,	bi-annual
33	34	AAAAAAAACCAAAAAA	2450815	2450996.0	DEPARTMENT	1	34.0	Old, essential demonstrations watch absolutely; never woo	bi-annual
34	35	AAAAAAAADCAAAAAA	2450815	2450996.0	DEPARTMENT	1	35.0	Simple blocks feel now whole police. Available meanings must shine clearly real, good departmen	bi-annual
35	36	AAAAAAAAECAAAAAA	2450815	2450996.0	DEPARTMENT	1	36.0	Dead rats contain central, interesting years. Classes go.	bi-annual
36	37	AAAAAAAAFCAAAAAA	2450815	2450996.0	DEPARTMENT	1	37.0	Approaches demonstrate requirements. Public views can need hard. Almost alone	bi-annual
37	38	AAAAAAAAGCAAAAAA	2450815	2450996.0	DEPARTMENT	1	38.0	Ready perceptions close only with a conservatives.	bi-annual
38	39	AAAAAAAAHCAAAAAA	2450815	2450996.0	DEPARTMENT	1	39.0	Vastly favorite systems may not imply manufacturing, new facilities. Eventually wo	bi-annual
39	40	AAAAAAAAICAAAAAA	2450815	2450996.0	DEPARTMENT	1	40.0	Social, full questions learn already cautiously unemployed solicitors. Alone, close s	bi-annual
40	41	AAAAAAAAJCAAAAAA	2450815	2450996.0	DEPARTMENT	1	41.0	True friends may not pay once at first good issues. Girls ought to grow t	bi-annual
41	42	AAAAAAAAKCAAAAAA	2450815	2450996.0	DEPARTMENT	1	42.0	Fine animals may expect solidly. Highest extra vessels take here simila	bi-annual
42	43	AAAAAAAALCAAAAAA	2450815	2450996.0	DEPARTMENT	1	43.0	Relatively darling limits must not forgive. Rural, dry folk h	bi-annual
43	44	AAAAAAAAMCAAAAAA	2450815	2450996.0	DEPARTMENT	1	44.0	More likely movements shall identify badly other sensitive ideas. Fully other views could not	bi-annual
44	45	AAAAAAAANCAAAAAA	2450815	2450996.0	DEPARTMENT	1	45.0	Full heads imply unfortunately good policies. However different periods will not avoid highly in	bi-annual
45	46	AAAAAAAAOCAAAAAA	2450815	2450996.0	DEPARTMENT	1	46.0	Old beings used to raise. Curtains cannot enable just sites. Cells can say western talks;	bi-annual
46	47	AAAAAAAAPCAAAAAA	2450815	2450996.0	DEPARTMENT	1	47.0	Dangerous, desirable relations might forget always free activities. Values ough	bi-annual
47	48	AAAAAAAAADAAAAAA	2450815	2450996.0	DEPARTMENT	1	48.0	Moving, parliamentary women seal only glad, little damages. Electoral ways	bi-annual
48	49	AAAAAAAABDAAAAAA	2450815	2450996.0	DEPARTMENT	1	49.0	Old, extensive months cannot write political numbers. Minor lips know as usual f	bi-annual
49	50	AAAAAAAACDAAAAAA	2450815	2450996.0	DEPARTMENT	1	50.0	Now metropolitan prices survive institutions. Internal cheeks	bi-annual
50	51	AAAAAAAADDAAAAAA	2450815	2450996.0	DEPARTMENT	1	51.0	Superior, pink men should plant also recent, very fears. Purposes see other men. Tough, particular	bi-annual
51	52	AAAAAAAAEDAAAAAA	2450815	2450996.0	DEPARTMENT	1	52.0	Urban, large girls could go. Actions might guard about key ot	bi-annual
52	53	AAAAAAAAFDAAAAAA	2450815	2450996.0	DEPARTMENT	1	53.0	Relevant, major backs fly just private findings. New workers must not keep l	bi-annual
53	54	AAAAAAAAGDAAAAAA	2450815	2450996.0	DEPARTMENT	1	54.0	Rights should reassure as to a borders; difficult, efficient servants might no	bi-annual
54	55	AAAAAAAAHDAAAAAA	2450815	2450996.0	DEPARTMENT	1	55.0	Male requirements can make. Catholic results load maybe common ba	bi-annual
55	56	AAAAAAAAIDAAAAAA	2450815	2450996.0	DEPARTMENT	1	56.0	Men talk even like a days. Still large feelings see new, quick hotels. Far black relations should	bi-annual
56	57	AAAAAAAAJDAAAAAA	2450815	2450996.0	DEPARTMENT	1	57.0	Expressly local horses shall undertake perhaps able, co	bi-annual
57	58	AAAAAAAAKDAAAAAA	2450815	2450996.0	DEPARTMENT	1	58.0	Tasks work fun trees. Old employees make colonial, good signs. Famous emo	bi-annual
58	59	AAAAAAAALDAAAAAA	2450815	2450996.0	DEPARTMENT	1	59.0	Free, like figures will not leave once similar, eas	bi-annual
59	60	AAAAAAAAMDAAAAAA	2450815	2450996.0	DEPARTMENT	1	60.0	Teachers would choose always average investments. Unable, illegal sorts see. Shadows sha	bi-annual
60	61	AAAAAAAANDAAAAAA	2450815	2450996.0	DEPARTMENT	1	61.0	Glad developments improve still unable, invisible communications. High processes ru	bi-annual
61	62	AAAAAAAAODAAAAAA	2450815	2450996.0	DEPARTMENT	1	62.0	Indeed poor enemies change so to a hours. Either public circumstan	bi-annual
62	63	AAAAAAAAPDAAAAAA	2450815	2450996.0	DEPARTMENT	1	63.0	Possible, general practitioners must mate in a companies. Small developments per	bi-annual
63	64	AAAAAAAAAEAAAAAA	2450815	2450996.0	DEPARTMENT	1	64.0	New, other men would hear secret costs. Major lines might think. Modern hands shall	bi-annual
64	65	AAAAAAAABEAAAAAA	2450815	2450996.0	DEPARTMENT	1	65.0	Otherwise vast titles could comprehend just, strong forms. Historic, european owners enha	bi-annual
65	66	AAAAAAAACEAAAAAA	2450815	2450996.0	DEPARTMENT	1	66.0	Simple types stir oddly. More head depths could tak	bi-annual
66	67	AAAAAAAADEAAAAAA	2450815	2450996.0	DEPARTMENT	1	67.0	Other developments shall not race in order objective wings. Nearby departments	bi-annual
67	68	AAAAAAAAEEAAAAAA	2450815	2450996.0	DEPARTMENT	1	68.0	More big police cannot give important, difficult clients. Black, early vessels use	bi-annual
68	69	AAAAAAAAFEAAAAAA	2450815	2450996.0	DEPARTMENT	1	69.0	More basic colleagues should shift; muscles make however legal authorities.	bi-annual
69	70	AAAAAAAAGEAAAAAA	2450815	2450996.0	DEPARTMENT	1	70.0	Visual, major matters witness together so-called days. Obviously sharp men spend meanwhile els	bi-annual
70	71	AAAAAAAAHEAAAAAA	2450815	2450996.0	DEPARTMENT	1	71.0	Numbers may create now concerned families. Machines must	bi-annual
71	72	AAAAAAAAIEAAAAAA	2450815	2450996.0	DEPARTMENT	1	72.0	Sometimes lexical police shall affect women. Personal banks could not cost e	bi-annual
72	73	AAAAAAAAJEAAAAAA	2450815	2450996.0	DEPARTMENT	1	73.0	Journalists develop civil, open methods. Very normal vehicles used t	bi-annual
73	74	AAAAAAAAKEAAAAAA	2450815	2450996.0	DEPARTMENT	1	74.0	Cheap problems obtain national, new organisations. Certain, suitable words	bi-annual
74	75	AAAAAAAALEAAAAAA	2450815	2450996.0	DEPARTMENT	1	75.0	Specifically russian plans must use neither grand shares. Harsh, french results increase	bi-annual
75	76	AAAAAAAAMEAAAAAA	2450815	2450996.0	DEPARTMENT	1	76.0	Entirely normal thousands cannot rely just important ti	bi-annual
76	77	AAAAAAAANEAAAAAA	2450815	2450996.0	DEPARTMENT	1	77.0	American years swallow only, nice thanks. Obvious materials might not discuss just.	bi-annual
77	78	AAAAAAAAOEAAAAAA	2450815	2450996.0	DEPARTMENT	1	78.0	Intelligent buildings might not keep here new cases. Sole	bi-annual
78	79	AAAAAAAAPEAAAAAA	2450815	2450996.0	DEPARTMENT	1	79.0	Complaints release views. Really internal interpretations used to make funny, important	bi-annual
79	80	AAAAAAAAAFAAAAAA	2450815	2450996.0	DEPARTMENT	1	80.0	Words know difficult, lucky areas. Over red parts need extr	bi-annual
80	81	AAAAAAAABFAAAAAA	2450815	2450996.0	DEPARTMENT	1	81.0	Vital findings come more about convincing firms. Hor	bi-annual
81	82	AAAAAAAACFAAAAAA	2450815	2450996.0	DEPARTMENT	1	82.0	Colonial interests reach also. Results will not pursue seconds. Labour other	bi-annual
82	83	AAAAAAAADFAAAAAA	2450815	2450996.0	DEPARTMENT	1	83.0	In order compatible schools float particular families. Briefly strong words used	bi-annual
83	84	AAAAAAAAEFAAAAAA	2450815	2450996.0	DEPARTMENT	1	84.0	Industrial cars exist workers. Dependent pages should consider straig	bi-annual
84	85	AAAAAAAAFFAAAAAA	2450815	2450996.0	DEPARTMENT	1	85.0	Minutes ought to keep marginal states. New, financial nurses become later. Legally engl	bi-annual
85	86	AAAAAAAAGFAAAAAA	2450815	2450996.0	DEPARTMENT	1	86.0	Talks draw totally manufacturers. Lines evolve very; conditions see mi	bi-annual
86	87	AAAAAAAAHFAAAAAA	2450815	2450996.0	DEPARTMENT	1	87.0	Away dramatic letters say slightly for a advisers. Severe, difficult points entail h	bi-annual
87	88	AAAAAAAAIFAAAAAA	2450815	2450996.0	DEPARTMENT	1	88.0	Particular projects involve always final lakes. Subjects must move	bi-annual
88	89	AAAAAAAAJFAAAAAA	2450815	2450996.0	DEPARTMENT	1	89.0	More responsible bands pursue then including a tasks; extremely traditional numbe	bi-annual
89	90	AAAAAAAAKFAAAAAA	2450815	2450996.0	DEPARTMENT	1	90.0	Enough real studies should not appear weekends. Rich,	bi-annual
90	91	AAAAAAAALFAAAAAA	2450815	2450996.0	DEPARTMENT	1	91.0	Safe prices grow there enough private boys. Priorities come eventually forces. Regi	bi-annual
91	92	AAAAAAAAMFAAAAAA	2450815	2450996.0	DEPARTMENT	1	92.0	Years can know. Available, dead degrees may begin ever. Docto	bi-annual
92	93	AAAAAAAANFAAAAAA	2450815	2450996.0	DEPARTMENT	1	93.0	Perfectly mild differences must visit deaf years. Attractive, interesting women might not tie to t	bi-annual
93	94	AAAAAAAAOFAAAAAA	2450815	2450996.0	DEPARTMENT	1	94.0	Equal, other calls maintain simply. Newspapers cannot touch f	bi-annual
94	95	AAAAAAAAPFAAAAAA	2450815	2450996.0	DEPARTMENT	1	95.0	Bonds include completely critical principles. Charges walk just forms. Subsequent, ti	bi-annual
95	96	AAAAAAAAAGAAAAAA	2450815	2450996.0	DEPARTMENT	1	96.0	Then other details will stop nuclear officers. Capital expenses carve far options. Stru	bi-annual
96	97	AAAAAAAABGAAAAAA	2450815	2450996.0	DEPARTMENT	1	97.0	Trees help far also ideal debts. Old, outstanding forces	bi-annual
97	98	AAAAAAAACGAAAAAA	2450815	2450996.0	DEPARTMENT	1	98.0	Still fine services would surrender urban results; mean, serious considerations may say	bi-annual
98	99	AAAAAAAADGAAAAAA	2450815	2450996.0	DEPARTMENT	1	99.0	Useful, white courts leave almost high fingers. Popular, basic words plan	bi-annual

catalog_returns (first 100 rows)

	CR_RETURNED_DATE_SK	CR_RETURNED_TIME_SK	CR_ITEM_SK	CR_REFUNDED_CUSTOMER_SK	CR_REFUNDED_CDEMO_SK	CR_REFUNDED_HDEMO_SK	CR_REFUNDED_ADDR_SK	CR_RETURNING_CUSTOMER_SK	CR_RETURNING_CDEMO_SK	CR_RETURNING_HDEMO_SK	CR_RETURNING_ADDR_SK	CR_CALL_CENTER_SK	CR_CATALOG_PAGE_SK	CR_SHIP_MODE_SK	CR_WAREHOUSE_SK	CR_REASON_SK	CR_ORDER_NUMBER	CR_RETURN_QUANTITY	CR_RETURN_AMOUNT	CR_RETURN_TAX	CR_RETURN_AMT_INC_TAX	CR_FEE	CR_RETURN_SHIP_COST	CR_REFUNDED_CASH	CR_REVERSED_CHARGE	CR_STORE_CREDIT	CR_NET_LOSS
0	2450926	45816	952	601	797995.0	6189.0	583.0	601.0	797995.0	4703.0	583.0	2.0	106	2.0	1.0	1.0	2	47	3888.31	233.29	4121.60	91.23	1348.90	3577.24	186.64	124.43	1673.42
1	2450946	74710	404	601	797995.0	6189.0	583.0	809.0	665550.0	991.0	832.0	2.0	17	2.0	1.0	1.0	2	49	2490.18	99.60	2589.78	52.54	1867.39	323.72	931.57	1234.89	2019.53
2	2451065	71104	1820	383	3755.0	2480.0	652.0	311.0	700704.0	5571.0	485.0	2.0	7	13.0	1.0	1.0	4	12	64.32	4.50	68.82	22.97	78.60	1.28	55.47	7.57	106.07
3	2450955	28638	988	801	90299.0	3797.0	495.0	681.0	1168758.0	7154.0	197.0	1.0	9	12.0	1.0	1.0	5	20	829.40	49.76	879.16	60.00	308.00	622.05	176.24	31.11	417.76
4	2451024	44538	1783	351	528859.0	5567.0	122.0	27.0	737861.0	54.0	647.0	1.0	78	12.0	1.0	1.0	6	6	403.08	36.27	439.35	4.58	199.44	354.71	27.57	20.80	240.29
5	2450993	10904	374	351	528859.0	5567.0	122.0	8.0	1289384.0	1410.0	436.0	1.0	54	7.0	1.0	1.0	6	7	23.17	1.85	25.02	19.85	7.07	6.25	9.64	7.28	28.77
6	2451018	60162	1844	674	NaN	NaN	NaN	994.0	NaN	NaN	335.0	NaN	2	NaN	NaN	NaN	9	3	413.94	0.00	NaN	NaN	NaN	318.73	35.22	59.99	185.36
7	2450929	30343	721	731	1046123.0	5715.0	107.0	927.0	865466.0	4658.0	697.0	2.0	65	14.0	1.0	1.0	11	17	1283.67	51.34	1335.01	71.97	58.31	449.28	183.56	650.83	181.62
8	2451061	53881	1094	731	1046123.0	5715.0	107.0	53.0	1827904.0	2936.0	968.0	2.0	42	11.0	1.0	1.0	11	9	29.79	1.19	30.98	91.16	59.67	0.00	20.85	8.94	152.02
9	2451042	11891	835	748	83584.0	2773.0	362.0	188.0	1816862.0	2974.0	286.0	1.0	11	2.0	1.0	1.0	12	61	2119.75	84.79	2204.54	30.32	271.45	1441.43	529.08	149.24	386.56
10	2451038	37877	1760	22	1502404.0	6833.0	662.0	294.0	1764552.0	4145.0	491.0	2.0	18	3.0	1.0	1.0	13	27	54.81	0.00	54.81	7.04	146.07	12.05	40.19	2.57	153.11
11	2450870	64669	370	22	1502404.0	6833.0	662.0	573.0	1482438.0	6726.0	614.0	2.0	43	18.0	1.0	1.0	13	18	100.44	5.02	105.46	70.47	196.92	9.03	82.26	9.15	272.41
12	2450956	64639	110	957	189998.0	3839.0	327.0	61.0	1639056.0	2195.0	287.0	2.0	56	17.0	1.0	1.0	16	40	407.60	32.60	440.20	2.01	296.40	362.76	19.72	25.12	331.01
13	2450944	15515	1762	957	189998.0	3839.0	327.0	292.0	1218513.0	1645.0	377.0	2.0	75	13.0	1.0	1.0	16	44	2157.76	43.15	2200.91	46.29	1280.84	1834.09	51.78	271.89	1370.28
14	2450991	44014	1582	3	599432.0	3708.0	937.0	895.0	1075366.0	3615.0	511.0	1.0	9	12.0	1.0	1.0	18	10	339.60	30.56	370.16	25.06	157.70	196.96	45.64	97.00	213.32
15	2451002	16008	1045	3	599432.0	3708.0	937.0	809.0	452924.0	4311.0	451.0	1.0	33	5.0	1.0	1.0	18	44	2618.44	235.65	2854.09	83.74	5117.64	968.82	65.98	1583.64	5437.03
16	2450989	38620	916	389	27132.0	4828.0	171.0	287.0	326203.0	512.0	421.0	2.0	100	8.0	1.0	1.0	19	44	6201.80	186.05	6387.85	29.08	1162.48	5891.71	173.65	136.44	1377.61
17	2451073	22065	722	751	1766792.0	2633.0	674.0	993.0	517281.0	2882.0	283.0	2.0	100	6.0	1.0	1.0	21	50	1654.00	82.70	1736.70	83.07	1034.00	1223.96	391.33	38.71	1199.77
18	2450986	71718	1936	242	541252.0	6015.0	978.0	550.0	640677.0	6379.0	728.0	1.0	30	14.0	1.0	1.0	22	3	12.87	0.90	13.77	84.18	124.62	0.90	9.45	2.52	209.70
19	2451003	73516	1738	242	541252.0	6015.0	978.0	346.0	125760.0	4274.0	988.0	1.0	45	3.0	1.0	1.0	22	30	2822.70	28.22	2850.92	25.25	1266.60	1072.62	122.50	1627.58	1320.07
20	2450869	71183	1430	242	541252.0	6015.0	978.0	328.0	1893150.0	6361.0	172.0	1.0	21	18.0	1.0	1.0	22	2	64.64	5.17	69.81	66.56	77.08	1.93	52.04	10.67	148.81
21	2450918	10436	992	703	600082.0	6661.0	87.0	371.0	178127.0	666.0	805.0	1.0	73	9.0	1.0	1.0	23	8	85.92	1.71	87.63	0.94	50.00	65.29	13.61	7.02	52.65
22	2451063	64648	200	764	1379528.0	6492.0	56.0	473.0	487719.0	1868.0	817.0	1.0	61	11.0	1.0	1.0	26	17	1603.95	128.31	1732.26	92.88	1262.08	914.25	517.27	172.43	1483.27
23	2450908	35973	1171	42	643025.0	4008.0	791.0	519.0	445572.0	6601.0	383.0	1.0	52	3.0	1.0	1.0	28	43	793.35	63.46	856.81	97.48	582.65	476.01	193.57	123.77	743.59
24	2451074	54503	1549	262	511666.0	7070.0	274.0	422.0	1020642.0	2223.0	357.0	2.0	82	13.0	1.0	1.0	31	28	1098.16	98.83	1196.99	51.07	299.32	680.85	208.65	208.66	449.22
25	2450993	7690	343	388	174162.0	3089.0	663.0	393.0	1678181.0	4527.0	73.0	1.0	22	5.0	1.0	1.0	32	13	419.25	37.73	456.98	27.33	259.87	234.78	184.47	0.00	324.93
26	2450906	74103	805	486	1309701.0	1516.0	378.0	488.0	1596473.0	703.0	286.0	1.0	35	9.0	1.0	1.0	33	1	7.80	0.31	8.11	57.79	7.22	3.51	2.35	1.94	65.32
27	2450983	83387	832	919	717893.0	914.0	888.0	899.0	733587.0	4279.0	571.0	2.0	54	7.0	1.0	1.0	35	32	5100.48	306.02	5406.50	83.98	377.60	5100.48	0.00	0.00	767.60
28	2450938	36423	946	988	467550.0	5112.0	321.0	221.0	1235634.0	3167.0	500.0	2.0	86	19.0	1.0	1.0	36	2	88.24	0.88	89.12	6.73	33.22	1.76	78.69	7.79	40.83
29	2450977	47666	1072	988	467550.0	5112.0	321.0	75.0	1897118.0	4028.0	538.0	2.0	52	1.0	1.0	1.0	36	69	1440.72	100.85	1541.57	2.22	0.00	720.36	36.01	684.35	103.07
30	2450963	75037	640	817	785079.0	1788.0	250.0	849.0	3803.0	6272.0	388.0	2.0	7	9.0	1.0	1.0	37	14	377.58	30.20	407.78	95.44	684.32	332.27	19.93	25.38	809.96
31	2450887	20595	560	61	1286495.0	4976.0	457.0	250.0	349487.0	5628.0	816.0	2.0	103	13.0	1.0	1.0	38	68	9568.28	669.77	10238.05	71.11	2192.32	2105.02	3433.09	4030.17	2933.20
32	2451012	37487	1036	898	1785329.0	2560.0	991.0	876.0	1456966.0	2056.0	99.0	2.0	26	15.0	1.0	1.0	39	39	4710.03	0.00	4710.03	53.59	2302.56	3815.12	635.38	259.53	2356.15
33	2450965	37170	1522	283	157402.0	4874.0	146.0	523.0	1865664.0	3345.0	426.0	1.0	74	9.0	1.0	1.0	40	40	1108.40	55.42	1163.82	77.46	408.80	1030.81	76.03	1.56	541.68
34	2450975	65871	1309	159	1915909.0	7059.0	962.0	338.0	488417.0	5969.0	168.0	2.0	72	11.0	1.0	1.0	42	10	815.70	65.25	880.95	24.41	674.50	40.78	23.24	751.68	764.16
35	2451040	77649	1220	183	1623252.0	3721.0	390.0	385.0	187670.0	4723.0	129.0	1.0	58	8.0	1.0	1.0	44	16	405.60	16.22	421.82	22.13	89.44	324.48	55.16	25.96	127.79
36	2450946	31349	1612	183	1623252.0	3721.0	390.0	971.0	1481620.0	29.0	38.0	1.0	108	11.0	1.0	1.0	44	20	1854.60	37.09	1891.69	51.41	927.20	1075.66	646.52	132.42	1015.70
37	2451061	54565	1400	305	527683.0	6708.0	486.0	217.0	252890.0	3009.0	728.0	2.0	98	18.0	1.0	1.0	45	1	9.89	0.09	9.98	5.19	16.60	5.43	2.14	2.32	21.88
38	2450858	74844	361	305	527683.0	6708.0	486.0	422.0	1717248.0	6779.0	510.0	2.0	27	10.0	1.0	1.0	45	38	1472.50	103.07	1575.57	84.52	17.10	265.05	386.38	821.07	204.69
39	2450949	54638	1717	871	830328.0	6585.0	842.0	7.0	853051.0	4346.0	994.0	2.0	78	12.0	1.0	1.0	46	50	1329.50	79.77	1409.27	30.45	52.00	1076.89	166.72	85.89	162.22
40	2450967	36814	1820	871	830328.0	6585.0	842.0	246.0	1490672.0	3850.0	581.0	2.0	36	8.0	1.0	1.0	46	70	6902.00	207.06	7109.06	42.78	1401.40	5107.48	1740.68	53.84	1651.24
41	2451006	18610	1837	722	553976.0	3877.0	331.0	648.0	1555212.0	401.0	143.0	2.0	74	10.0	1.0	1.0	47	49	3888.64	0.00	3888.64	43.74	3295.74	2605.38	667.29	615.97	3339.48
42	2450968	52092	166	375	1166269.0	3010.0	504.0	422.0	1491876.0	7131.0	339.0	1.0	43	10.0	1.0	1.0	48	10	892.10	26.76	918.86	75.24	1040.80	811.81	72.26	8.03	1142.80
43	2450993	56863	1405	786	196899.0	2059.0	219.0	658.0	678147.0	7063.0	932.0	1.0	53	13.0	1.0	1.0	52	14	288.82	5.77	294.59	84.41	151.76	66.42	204.60	17.80	241.94
44	2451038	23109	829	786	196899.0	2059.0	219.0	627.0	1013398.0	1201.0	404.0	1.0	84	7.0	1.0	1.0	52	33	292.05	5.84	297.89	69.38	15.18	122.66	64.36	105.03	90.40
45	2450927	46513	1322	643	1592501.0	4159.0	664.0	188.0	1308684.0	1449.0	567.0	2.0	11	2.0	1.0	1.0	55	1	21.25	0.85	22.10	94.74	2.39	17.21	0.20	3.84	97.98
46	2450983	71731	1214	127	1346606.0	6038.0	270.0	897.0	1493518.0	3358.0	445.0	2.0	92	12.0	1.0	1.0	56	4	6.04	0.06	6.10	23.32	260.68	2.53	0.42	3.09	284.06
47	2450944	44105	410	732	677128.0	5571.0	567.0	757.0	1779943.0	862.0	28.0	1.0	34	5.0	1.0	1.0	57	34	3039.60	60.79	3100.39	61.21	719.78	1215.84	291.80	1531.96	841.78
48	2450943	15203	818	732	677128.0	5571.0	567.0	948.0	89333.0	5045.0	957.0	1.0	85	6.0	1.0	1.0	57	21	82.95	4.14	87.09	57.08	62.16	47.28	15.33	20.34	123.38
49	2451039	45152	1687	940	1030863.0	6139.0	62.0	177.0	42517.0	4863.0	762.0	1.0	92	20.0	1.0	1.0	58	37	509.86	0.00	509.86	78.85	963.11	163.15	41.60	305.11	1041.96
50	2450909	69632	1342	363	683276.0	4942.0	55.0	719.0	1594118.0	4137.0	203.0	1.0	30	20.0	1.0	1.0	62	14	346.64	10.39	357.03	95.78	186.20	336.24	6.13	4.27	292.37
51	2451044	37030	520	363	683276.0	4942.0	55.0	393.0	1322943.0	2774.0	452.0	1.0	47	19.0	1.0	1.0	62	11	126.94	0.00	126.94	71.55	112.75	49.50	56.53	20.91	184.30
52	2450919	69296	631	363	683276.0	4942.0	55.0	799.0	1828157.0	6005.0	453.0	1.0	44	3.0	1.0	1.0	62	33	218.79	17.50	236.29	23.13	464.64	94.07	115.98	8.74	505.27
53	2450863	46270	1735	758	1148029.0	2853.0	124.0	919.0	1126300.0	3007.0	314.0	1.0	5	2.0	1.0	1.0	63	54	2701.08	162.06	2863.14	3.08	2132.46	594.23	1896.16	210.69	2297.60
54	2450986	37706	1928	758	1148029.0	2853.0	124.0	122.0	1718117.0	3509.0	748.0	1.0	105	5.0	1.0	1.0	63	8	171.20	6.84	178.04	83.12	29.52	20.54	58.75	91.91	119.48
55	2450987	42160	680	621	1225267.0	960.0	53.0	750.0	1014769.0	971.0	373.0	2.0	93	19.0	1.0	1.0	64	11	434.17	26.05	460.22	55.21	248.05	347.33	86.84	0.00	329.31
56	2450925	54924	1316	336	785982.0	3228.0	874.0	856.0	1134477.0	4252.0	980.0	2.0	78	18.0	1.0	1.0	66	3	181.65	9.08	190.73	98.27	0.00	56.31	82.72	42.62	107.35
57	2450936	19990	1736	336	785982.0	3228.0	874.0	131.0	1110002.0	2615.0	75.0	2.0	64	8.0	1.0	1.0	66	23	458.85	36.70	495.55	35.46	305.90	293.66	165.19	0.00	378.06
58	2450920	68157	727	214	1227752.0	1090.0	181.0	436.0	1862046.0	4849.0	205.0	2.0	102	13.0	1.0	1.0	67	42	7.14	0.57	7.71	30.38	3.78	2.07	1.41	3.66	34.73
59	2450949	17521	596	214	1227752.0	1090.0	181.0	304.0	1378959.0	4311.0	910.0	2.0	63	13.0	1.0	1.0	67	39	721.11	64.89	786.00	45.74	484.38	7.21	35.69	678.21	595.01
60	2451014	60949	1262	214	1227752.0	1090.0	181.0	612.0	1195468.0	3695.0	522.0	2.0	17	10.0	1.0	1.0	67	28	182.00	12.74	194.74	11.87	49.28	127.40	3.27	51.33	73.89
61	2450909	27281	394	907	163011.0	3515.0	819.0	807.0	15782.0	1929.0	629.0	1.0	79	3.0	1.0	1.0	68	14	732.90	0.00	732.90	24.07	586.32	622.96	107.74	2.20	610.39
62	2451035	72342	1262	376	1694169.0	6315.0	708.0	985.0	398527.0	5033.0	92.0	2.0	42	10.0	1.0	1.0	71	18	547.02	38.29	585.31	58.57	40.14	54.70	443.08	49.24	137.00
63	2450991	20519	1159	24	589162.0	653.0	144.0	744.0	1117994.0	786.0	531.0	1.0	1	13.0	1.0	1.0	73	64	2634.24	210.73	2844.97	91.85	1114.24	2370.81	134.34	129.09	1416.82
64	2450942	86370	1520	448	1738817.0	4139.0	661.0	880.0	698232.0	4263.0	494.0	1.0	48	14.0	1.0	1.0	74	5	125.20	10.01	135.21	23.50	262.90	1.25	97.92	26.03	296.41
65	2450940	4395	1016	543	1096330.0	7070.0	457.0	572.0	900814.0	578.0	542.0	1.0	76	7.0	1.0	1.0	75	3	101.04	4.04	105.08	46.13	74.91	83.86	6.35	10.83	125.08
66	2450987	60432	1813	543	1096330.0	7070.0	457.0	637.0	1169478.0	2888.0	651.0	1.0	48	14.0	1.0	1.0	75	2	117.34	9.38	126.72	89.84	50.88	28.16	8.91	80.27	150.10
67	2450915	43293	274	674	1087861.0	448.0	635.0	74.0	1540251.0	1673.0	448.0	2.0	80	20.0	1.0	1.0	77	3	20.61	0.82	21.43	44.76	18.42	18.34	1.43	0.84	64.00
68	2450970	82263	1345	674	NaN	NaN	635.0	NaN	NaN	6513.0	NaN	2.0	89	NaN	NaN	1.0	77	10	839.90	50.39	NaN	NaN	425.70	NaN	NaN	196.55	NaN
69	2450926	62016	187	674	1087861.0	448.0	635.0	247.0	1603603.0	380.0	757.0	2.0	39	15.0	1.0	1.0	77	36	197.28	9.86	207.14	39.53	146.52	71.02	47.97	78.29	195.91
70	2450958	34973	278	641	1516877.0	960.0	596.0	8.0	1059029.0	5992.0	108.0	1.0	44	3.0	1.0	1.0	80	40	3567.60	0.00	3567.60	96.68	2583.60	3103.81	398.85	64.94	2680.28
71	2450899	73899	1528	641	1516877.0	960.0	596.0	63.0	1206262.0	2807.0	752.0	1.0	63	7.0	1.0	1.0	80	52	2883.40	0.00	2883.40	55.61	1086.80	634.34	787.17	1461.89	1142.41
72	2450957	54159	218	942	1441792.0	4242.0	139.0	208.0	109514.0	3643.0	619.0	1.0	32	13.0	1.0	1.0	83	2	129.04	5.16	134.20	98.47	52.36	43.87	44.28	40.89	155.99
73	2451018	34791	1402	942	1441792.0	4242.0	139.0	137.0	1385649.0	6797.0	192.0	1.0	97	3.0	1.0	1.0	83	12	406.92	28.48	435.40	81.31	197.64	236.01	111.09	59.82	307.43
74	2451002	51666	1346	224	47350.0	5629.0	508.0	515.0	274687.0	2921.0	755.0	1.0	55	4.0	1.0	1.0	86	17	1077.29	43.09	1120.38	11.03	1179.97	441.68	603.82	31.79	1234.09
75	2450889	82535	1094	224	47350.0	5629.0	508.0	133.0	1494396.0	7123.0	403.0	1.0	25	17.0	1.0	1.0	86	70	5176.50	207.06	5383.56	45.50	1293.60	5072.97	92.14	11.39	1546.16
76	2451005	76680	862	224	47350.0	5629.0	508.0	617.0	398869.0	6573.0	277.0	1.0	16	2.0	1.0	1.0	86	4	623.60	24.94	648.54	12.61	95.24	56.12	380.21	187.27	132.79
77	2451050	73402	871	977	1492959.0	5894.0	829.0	464.0	1002026.0	1035.0	997.0	2.0	67	17.0	1.0	1.0	89	15	763.80	0.00	763.80	4.63	361.80	114.57	253.19	396.04	366.43
78	2450979	48909	181	24	552511.0	1551.0	838.0	912.0	1698770.0	416.0	462.0	2.0	84	7.0	1.0	1.0	92	72	5989.68	539.07	6528.75	69.34	5682.24	1497.42	4402.41	89.85	6290.65
79	2450851	76961	1850	24	552511.0	1551.0	838.0	397.0	1886218.0	6642.0	219.0	2.0	81	17.0	1.0	1.0	92	3	159.63	7.98	167.61	75.26	32.46	0.00	1.59	158.04	115.70
80	2451054	38828	128	204	1098811.0	5665.0	872.0	204.0	1098811.0	1191.0	872.0	1.0	77	10.0	1.0	1.0	93	11	648.56	38.91	687.47	70.54	108.02	142.68	318.70	187.18	217.47
81	2451058	40911	494	93	1871653.0	1166.0	126.0	834.0	469308.0	147.0	633.0	1.0	13	11.0	1.0	1.0	95	54	3159.00	31.59	3190.59	1.50	519.48	1200.42	1468.93	489.65	552.57
82	2451007	31416	220	951	1504890.0	3382.0	721.0	951.0	1504890.0	429.0	721.0	1.0	107	11.0	1.0	1.0	97	33	0.00	0.00	0.00	83.44	2611.62	0.00	0.00	0.00	2695.06
83	2451026	61592	806	659	400535.0	811.0	887.0	768.0	714707.0	1762.0	417.0	2.0	197	15.0	1.0	1.0	99	15	91.65	2.74	94.39	68.20	40.80	52.24	24.82	14.59	111.74
84	2450909	69684	1448	659	400535.0	811.0	887.0	553.0	1079964.0	6880.0	596.0	2.0	91	4.0	1.0	1.0	99	26	48.10	1.44	49.54	6.32	214.24	23.56	1.47	23.07	222.00
85	2451012	48520	559	651	896753.0	655.0	357.0	147.0	609116.0	985.0	701.0	1.0	10	15.0	1.0	1.0	100	13	352.69	14.10	366.79	52.43	4.29	193.97	80.94	77.78	70.82
86	2450963	36885	1784	623	351944.0	218.0	139.0	172.0	1026902.0	1465.0	75.0	2.0	36	11.0	1.0	1.0	101	21	119.49	0.00	119.49	72.97	2033.01	46.60	69.24	3.65	2105.98
87	2451018	3015	476	623	351944.0	218.0	139.0	469.0	1395145.0	4004.0	216.0	2.0	162	12.0	1.0	1.0	101	10	290.10	17.40	307.50	90.31	77.30	168.25	52.39	69.46	185.01
88	2450973	66374	820	410	698752.0	4094.0	836.0	924.0	615789.0	900.0	164.0	1.0	33	10.0	1.0	1.0	102	33	1898.82	151.90	2050.72	94.21	976.47	1253.22	464.83	180.77	1222.58
89	2450923	4412	440	410	698752.0	4094.0	836.0	410.0	698752.0	881.0	836.0	1.0	26	14.0	1.0	1.0	102	1	10.39	0.41	10.80	49.12	14.84	10.39	0.00	0.00	64.37
90	2450868	29430	1369	111	1835190.0	5916.0	195.0	957.0	1480884.0	1910.0	936.0	1.0	214	14.0	1.0	1.0	103	9	61.11	3.66	64.77	74.43	48.87	8.55	33.63	18.93	126.96
91	2450921	62646	316	648	421422.0	6643.0	217.0	102.0	175256.0	5750.0	44.0	1.0	84	6.0	1.0	1.0	104	26	70.46	4.22	74.68	4.70	264.94	56.36	2.96	11.14	273.86
92	2450908	36699	502	648	421422.0	6643.0	217.0	261.0	1383491.0	1012.0	133.0	1.0	20	9.0	1.0	1.0	104	5	5.30	0.05	5.35	39.83	39.80	4.45	0.84	0.01	79.68
93	2450930	23430	1810	7	621140.0	4826.0	959.0	210.0	248712.0	4060.0	808.0	2.0	24	12.0	1.0	1.0	105	12	1153.32	92.26	1245.58	89.75	29.52	542.06	48.90	562.36	211.53
94	2450886	77970	1258	481	663720.0	3159.0	551.0	438.0	519045.0	5508.0	171.0	2.0	21	20.0	1.0	1.0	107	21	1340.22	26.80	1367.02	64.34	1235.01	1018.56	192.99	128.67	1326.15
95	2450979	59967	766	770	285795.0	5220.0	645.0	902.0	92062.0	5189.0	916.0	2.0	18	17.0	1.0	1.0	108	42	776.16	69.85	846.01	58.69	161.70	69.85	289.58	416.73	290.24
96	2450989	73597	1160	615	947475.0	288.0	148.0	782.0	17546.0	4351.0	709.0	2.0	111	10.0	1.0	1.0	109	35	6849.15	273.96	7123.11	21.77	3311.70	4040.99	673.95	2134.21	3607.43
97	2450922	72030	802	450	1173022.0	2394.0	366.0	518.0	458253.0	950.0	847.0	2.0	51	18.0	1.0	1.0	110	50	403.00	32.24	435.24	81.15	76.00	120.90	104.37	177.73	189.39
98	2450979	71329	289	450	1173022.0	2394.0	366.0	518.0	1494517.0	158.0	199.0	2.0	166	2.0	1.0	1.0	110	11	840.40	58.82	899.22	69.08	336.16	344.56	476.00	19.84	464.06

catalog_sales (first 100 rows)

	CS_SOLD_DATE_SK	CS_SOLD_TIME_SK	CS_SHIP_DATE_SK	CS_BILL_CUSTOMER_SK	CS_BILL_CDEMO_SK	CS_BILL_HDEMO_SK	CS_BILL_ADDR_SK	CS_SHIP_CUSTOMER_SK	CS_SHIP_CDEMO_SK	CS_SHIP_HDEMO_SK	CS_SHIP_ADDR_SK	CS_CALL_CENTER_SK	CS_CATALOG_PAGE_SK	CS_SHIP_MODE_SK	CS_WAREHOUSE_SK	CS_ITEM_SK	CS_PROMO_SK	CS_ORDER_NUMBER	CS_QUANTITY	CS_WHOLESALE_COST	CS_LIST_PRICE	CS_SALES_PRICE	CS_EXT_DISCOUNT_AMT	CS_EXT_SALES_PRICE	CS_EXT_WHOLESALE_COST	CS_EXT_LIST_PRICE	CS_EXT_TAX	CS_COUPON_AMT	CS_EXT_SHIP_COST	CS_NET_PAID	CS_NET_PAID_INC_TAX	CS_NET_PAID_INC_SHIP	CS_NET_PAID_INC_SHIP_TAX	CS_NET_PROFIT
0	2450815.0	38212.0	2450886	153.0	1822764	5775.0	986	153.0	1822764	5775	986	1	62.0	3.0	1.0	1286	1	1	47	27.70	44.32	42.99	62.51	2020.53	1301.90	2083.04	101.02	0.00	1041.52	2020.53	2121.55	3062.05	3163.07	718.63
1	2450815.0	38212.0	2450846	153.0	1822764	5775.0	986	153.0	1822764	5775	986	1	31.0	8.0	1.0	476	3	1	20	87.55	260.89	153.92	2139.40	3078.40	1751.00	5217.80	71.41	1292.92	1356.60	1785.48	1856.89	3142.08	3213.49	34.48
2	2450815.0	38212.0	2450868	153.0	1822764	5775.0	986	153.0	1822764	5775	986	1	76.0	2.0	1.0	1558	1	1	19	69.86	88.72	29.27	1129.55	556.13	1327.34	1685.68	33.36	0.00	168.53	556.13	589.49	724.66	758.02	-771.21
3	2450815.0	38212.0	2450851	153.0	1822764	5775.0	986	153.0	1822764	5775	986	1	89.0	15.0	1.0	961	2	1	50	70.00	205.10	188.69	820.50	9434.50	3500.00	10255.00	377.38	0.00	4307.00	9434.50	9811.88	13741.50	14118.88	5934.50
4	2450815.0	29485.0	2450904	601.0	797995	6189.0	583	601.0	797995	6189	583	2	64.0	18.0	1.0	115	2	2	56	67.54	166.82	18.35	8314.32	1027.60	3782.24	9341.92	0.00	0.00	3736.32	1027.60	1027.60	4763.92	4763.92	-2754.64
5	2450815.0	29485.0	2450890	601.0	797995	6189.0	583	601.0	797995	6189	583	2	75.0	8.0	1.0	110	2	2	88	20.08	60.03	20.41	3486.56	1796.08	1767.04	5282.64	13.82	1598.51	1056.00	197.57	211.39	1253.57	1267.39	-1569.47
6	2450815.0	29485.0	2450849	601.0	797995	6189.0	583	601.0	797995	6189	583	2	39.0	4.0	1.0	146	3	2	31	40.88	51.91	6.22	1416.39	192.82	1267.28	1609.21	11.56	0.00	321.78	192.82	204.38	514.60	526.16	-1074.46
7	2450815.0	29485.0	2450889	601.0	797995	6189.0	583	601.0	797995	6189	583	2	49.0	8.0	1.0	1744	3	2	100	49.56	137.77	5.51	13226.00	551.00	4956.00	13777.00	0.00	0.00	3306.00	551.00	551.00	3857.00	3857.00	-4405.00
8	2450815.0	29485.0	2450868	601.0	797995	6189.0	583	601.0	797995	6189	583	2	69.0	17.0	1.0	236	3	2	30	72.82	88.84	71.07	533.10	2132.10	2184.60	2665.20	21.32	0.00	133.20	2132.10	2153.42	2265.30	2286.62	-52.50
9	2450815.0	29485.0	2450831	601.0	797995	6189.0	583	601.0	797995	6189	583	2	64.0	1.0	1.0	482	1	2	40	94.56	277.06	2.77	10971.60	110.80	3782.40	11082.40	2.21	0.00	664.80	110.80	113.01	775.60	777.81	-3671.60
10	2450815.0	29485.0	2450839	601.0	797995	6189.0	583	601.0	797995	6189	583	2	108.0	8.0	1.0	646	2	2	40	25.96	54.51	15.80	1548.40	632.00	1038.40	2180.40	22.75	176.96	1090.00	455.04	477.79	1545.04	1567.79	-583.36
11	2450815.0	29485.0	2450825	601.0	797995	6189.0	583	601.0	797995	6189	583	2	14.0	20.0	1.0	1762	2	2	45	5.95	12.97	8.81	187.20	396.45	267.75	583.65	3.96	0.00	17.10	396.45	400.41	413.55	417.51	128.70
12	2450815.0	29485.0	2450837	601.0	797995	6189.0	583	601.0	797995	6189	583	2	13.0	7.0	1.0	400	1	2	34	43.69	105.29	82.12	787.78	2792.08	1485.46	3579.86	55.84	0.00	930.58	2792.08	2847.92	3722.66	3778.50	1306.62
13	2450815.0	29485.0	2450822	601.0	797995	6189.0	583	601.0	797995	6189	583	2	106.0	16.0	1.0	952	3	2	59	78.90	84.42	82.73	99.71	4881.07	4655.10	4980.78	292.86	0.00	1444.32	4881.07	5173.93	6325.39	6618.25	225.97
14	2450815.0	29485.0	2450895	601.0	797995	6189.0	583	601.0	797995	6189	583	2	17.0	19.0	1.0	404	2	2	94	41.36	105.88	50.82	5175.64	4777.08	3887.84	9952.72	191.08	0.00	497.26	4777.08	4968.16	5274.34	5465.42	889.24
15	2450815.0	29485.0	2450892	601.0	797995	6189.0	583	601.0	797995	6189	583	2	74.0	18.0	1.0	781	2	2	38	26.96	51.22	35.85	584.06	1362.30	1024.48	1946.36	108.98	0.00	642.20	1362.30	1471.28	2004.50	2113.48	337.82
16	2450815.0	29485.0	2450862	601.0	797995	6189.0	583	601.0	797995	6189	583	2	23.0	16.0	1.0	727	2	2	45	9.54	23.37	21.50	84.15	967.50	429.30	1051.65	21.76	725.62	294.30	241.88	263.64	536.18	557.94	-187.42
17	2450815.0	29485.0	2450834	601.0	797995	6189.0	583	601.0	797995	6189	583	2	63.0	5.0	1.0	596	1	2	41	39.04	108.92	75.15	1384.57	3081.15	1600.64	4465.72	215.68	0.00	1964.72	3081.15	3296.83	5045.87	5261.55	1480.51
18	2450815.0	10687.0	2450864	572.0	437897	6622.0	147	572.0	437897	6622	147	2	28.0	5.0	1.0	1198	2	3	99	75.88	178.31	156.91	2118.60	15534.09	7512.12	17652.69	1398.06	0.00	6884.46	15534.09	16932.15	22418.55	23816.61	8021.97
19	2450815.0	10687.0	2450905	572.0	437897	6622.0	147	572.0	437897	6622	147	2	47.0	10.0	1.0	1435	3	3	90	34.57	89.53	68.04	1934.10	6123.60	3111.30	8057.70	428.65	0.00	1449.90	6123.60	6552.25	7573.50	8002.15	3012.30
20	2450815.0	10687.0	2450846	572.0	437897	6622.0	147	572.0	437897	6622	147	2	7.0	2.0	1.0	886	2	3	75	8.44	14.43	6.34	606.75	475.50	633.00	1082.25	33.28	0.00	10.50	475.50	508.78	486.00	519.28	-157.50
21	2450815.0	10687.0	2450900	572.0	437897	6622.0	147	572.0	437897	6622	147	2	67.0	7.0	1.0	1537	3	3	45	45.24	59.26	53.33	266.85	2399.85	2035.80	2666.70	191.98	0.00	479.70	2399.85	2591.83	2879.55	3071.53	364.05
22	2450815.0	10687.0	2450893	572.0	437897	6622.0	147	572.0	437897	6622	147	2	31.0	4.0	1.0	1826	2	3	33	89.04	217.25	52.14	5448.63	1720.62	2938.32	7169.25	68.82	0.00	3584.46	1720.62	1789.44	5305.08	5373.90	-1217.70
23	2450815.0	10687.0	2450904	572.0	437897	6622.0	147	572.0	437897	6622	147	2	52.0	18.0	1.0	1238	1	3	25	72.16	98.13	29.43	1717.50	735.75	1804.00	2453.25	29.43	0.00	834.00	735.75	765.18	1569.75	1599.18	-1068.25
24	2450815.0	10687.0	2450820	572.0	437897	6622.0	147	572.0	437897	6622	147	2	77.0	7.0	1.0	247	3	3	56	12.62	28.39	20.72	429.52	1160.32	706.72	1589.84	4.87	1079.09	0.00	81.23	86.10	81.23	86.10	-625.49
25	NaN	NaN	2450835	NaN	3755	NaN	652	NaN	3755	2480	652	2	NaN	NaN	NaN	922	1	4	33	8.80	23.49	NaN	77.55	NaN	NaN	775.17	34.88	0.00	NaN	NaN	NaN	976.47	1011.35	407.22
26	2450815.0	74512.0	2450888	383.0	3755	2480.0	652	383.0	3755	2480	652	2	107.0	13.0	1.0	610	1	4	63	65.85	181.74	23.62	9961.56	1488.06	4148.55	11449.62	29.76	0.00	3663.45	1488.06	1517.82	5151.51	5181.27	-2660.49
27	2450815.0	74512.0	2450825	383.0	3755	2480.0	652	383.0	3755	2480	652	2	88.0	13.0	1.0	1171	2	4	90	47.29	55.32	7.19	4331.70	647.10	4256.10	4978.80	38.82	0.00	1542.60	647.10	685.92	2189.70	2228.52	-3609.00
28	2450815.0	74512.0	2450870	383.0	3755	2480.0	652	383.0	3755	2480	652	2	53.0	8.0	1.0	1106	3	4	68	51.19	135.65	82.74	3597.88	5626.32	3480.92	9224.20	337.57	0.00	922.08	5626.32	5963.89	6548.40	6885.97	2145.40
29	2450815.0	74512.0	2450891	383.0	3755	2480.0	652	383.0	3755	2480	652	2	7.0	17.0	1.0	1820	2	4	12	35.46	59.57	5.36	650.52	64.32	425.52	714.84	4.50	0.00	250.08	64.32	68.82	314.40	318.90	-361.20
30	2450815.0	74512.0	2450897	383.0	3755	2480.0	652	383.0	3755	2480	652	2	23.0	16.0	1.0	880	2	4	79	49.20	118.57	92.48	2061.11	7305.92	3886.80	9367.03	219.17	0.00	3371.72	7305.92	7525.09	10677.64	10896.81	3419.12
31	2450816.0	53201.0	2450857	801.0	90299	3797.0	495	801.0	90299	3797	495	1	29.0	20.0	1.0	1495	2	5	24	33.13	86.13	18.94	1612.56	454.56	795.12	2067.12	9.09	0.00	330.72	454.56	463.65	785.28	794.37	-340.56
32	2450816.0	53201.0	2450887	801.0	90299	3797.0	495	801.0	90299	3797	495	1	90.0	2.0	1.0	1735	3	5	88	61.57	91.12	87.47	321.20	7697.36	5418.16	8018.56	307.89	0.00	3046.56	7697.36	8005.25	10743.92	11051.81	2279.20
33	2450816.0	53201.0	2450831	801.0	90299	3797.0	495	801.0	90299	3797	495	1	105.0	3.0	1.0	730	2	5	33	79.68	165.73	97.78	2242.35	3226.74	2629.44	5469.09	64.53	0.00	273.24	3226.74	3291.27	3499.98	3564.51	597.30
34	2450816.0	53201.0	2450896	801.0	90299	3797.0	495	801.0	90299	3797	495	1	40.0	18.0	1.0	602	2	5	7	30.89	78.46	15.69	439.39	109.83	216.23	549.22	5.49	0.00	241.64	109.83	115.32	351.47	356.96	-106.40
35	2450816.0	53201.0	2450818	801.0	90299	3797.0	495	801.0	90299	3797	495	1	78.0	16.0	1.0	1766	1	5	50	22.47	28.53	24.53	200.00	1226.50	1123.50	1426.50	85.85	0.00	256.50	1226.50	1312.35	1483.00	1568.85	103.00
36	2450816.0	53201.0	2450821	801.0	90299	3797.0	495	801.0	90299	3797	495	1	44.0	12.0	1.0	1754	1	5	24	91.40	95.05	38.02	1368.72	912.48	2193.60	2281.20	54.74	0.00	638.64	912.48	967.22	1551.12	1605.86	-1281.12
37	2450816.0	53201.0	2450847	801.0	90299	3797.0	495	801.0	90299	3797	495	1	69.0	14.0	1.0	1928	3	5	84	24.03	29.79	17.57	1026.48	1475.88	2018.52	2502.36	10.92	383.72	650.16	1092.16	1103.08	1742.32	1753.24	-926.36
38	2450816.0	53201.0	2450834	801.0	90299	3797.0	495	801.0	90299	3797	495	1	16.0	10.0	1.0	199	2	5	2	51.27	111.76	103.93	15.66	207.86	102.54	223.52	0.00	0.00	93.86	207.86	207.86	301.72	301.72	105.32
39	2450816.0	53201.0	2450853	801.0	90299	3797.0	495	801.0	90299	3797	495	1	95.0	9.0	1.0	1387	3	5	17	38.62	106.59	68.21	652.46	1159.57	656.54	1812.03	33.04	57.97	199.24	1101.60	1134.64	1300.84	1333.88	445.06
40	2450816.0	53201.0	2450861	801.0	90299	3797.0	495	801.0	90299	3797	495	1	9.0	16.0	1.0	988	1	5	34	42.47	118.49	41.47	2618.68	1409.98	1443.98	4028.66	52.45	535.79	1571.14	874.19	926.64	2445.33	2497.78	-569.79
41	2450816.0	53201.0	2450881	801.0	90299	3797.0	495	801.0	90299	3797	495	1	98.0	13.0	1.0	190	3	5	7	67.40	138.17	56.64	570.71	396.48	471.80	967.19	23.78	0.00	483.56	396.48	420.26	880.04	903.82	-75.32
42	2450816.0	47169.0	2450856	351.0	528859	5567.0	122	351.0	528859	5567	122	1	47.0	18.0	1.0	82	1	6	21	41.74	85.14	6.81	1644.93	143.01	876.54	1787.94	7.15	0.00	697.20	143.01	150.16	840.21	847.36	-733.53
43	2450816.0	47169.0	2450842	351.0	528859	5567.0	122	351.0	528859	5567	122	1	6.0	19.0	1.0	910	1	6	43	79.58	210.09	44.11	7137.14	1896.73	3421.94	9033.87	4.55	1782.92	361.20	113.81	118.36	475.01	479.56	-3308.13
44	2450816.0	47169.0	2450873	351.0	528859	5567.0	122	351.0	528859	5567	122	1	56.0	2.0	1.0	502	1	6	57	21.60	26.35	24.24	120.27	1381.68	1231.20	1501.95	0.00	0.00	600.78	1381.68	1381.68	1982.46	1982.46	150.48
45	2450816.0	47169.0	2450829	351.0	528859	5567.0	122	351.0	528859	5567	122	1	34.0	15.0	1.0	1268	1	6	12	83.45	207.79	91.42	1396.44	1097.04	1001.40	2493.48	65.82	0.00	1072.08	1097.04	1162.86	2169.12	2234.94	95.64
46	2450816.0	47169.0	2450865	351.0	528859	5567.0	122	351.0	528859	5567	122	1	81.0	18.0	1.0	446	3	6	75	63.50	133.35	17.33	8701.50	1299.75	4762.50	10001.25	13.25	857.83	1399.50	441.92	455.17	1841.42	1854.67	-4320.58
47	2450816.0	47169.0	2450872	351.0	528859	5567.0	122	351.0	528859	5567	122	1	78.0	13.0	1.0	1783	3	6	32	33.46	69.26	67.18	66.56	2149.76	1070.72	2216.32	193.47	0.00	221.44	2149.76	2343.23	2371.20	2564.67	1079.04
48	2450816.0	47169.0	2450842	351.0	528859	5567.0	122	351.0	528859	5567	122	1	27.0	4.0	1.0	1252	1	6	30	38.50	57.75	25.41	970.20	762.30	1155.00	1732.50	38.11	0.00	796.80	762.30	800.41	1559.10	1597.21	-392.70
49	2450816.0	47169.0	2450850	351.0	528859	5567.0	122	351.0	528859	5567	122	1	62.0	18.0	1.0	1192	3	6	53	9.92	25.69	9.24	871.85	489.72	525.76	1361.57	15.08	112.63	122.43	377.09	392.17	499.52	514.60	-148.67
50	2450816.0	47169.0	2450874	351.0	528859	5567.0	122	351.0	528859	5567	122	1	54.0	11.0	1.0	374	1	6	56	1.84	5.35	3.31	114.24	185.36	103.04	299.60	14.82	0.00	104.72	185.36	200.18	290.08	304.90	82.32
51	2450816.0	64129.0	2450879	427.0	192069	5664.0	106	427.0	192069	5664	106	2	89.0	8.0	1.0	1339	2	7	48	18.55	52.49	49.34	151.20	2368.32	890.40	2519.52	88.10	165.78	604.32	2202.54	2290.64	2806.86	2894.96	1312.14
52	2450816.0	64129.0	2450856	427.0	192069	5664.0	106	427.0	192069	5664	106	2	27.0	2.0	1.0	1006	1	7	69	93.62	245.28	208.48	2539.20	14385.12	6459.78	16924.32	0.00	1006.95	7954.32	13378.17	13378.17	21332.49	21332.49	6918.39
53	2450816.0	64129.0	2450819	427.0	192069	5664.0	106	427.0	192069	5664	106	2	65.0	6.0	1.0	217	3	7	22	40.21	95.29	4.76	1991.66	104.72	884.62	2096.38	0.00	0.00	1027.18	104.72	104.72	1131.90	1131.90	-779.90
54	2450816.0	64129.0	2450829	427.0	192069	5664.0	106	427.0	192069	5664	106	2	103.0	7.0	1.0	1051	3	7	26	10.72	19.29	4.82	376.22	125.32	278.72	501.54	5.01	0.00	55.12	125.32	130.33	180.44	185.45	-153.40
55	2450817.0	34427.0	2450865	814.0	271788	6362.0	536	814.0	271788	6362	536	1	53.0	13.0	1.0	256	1	8	46	47.13	76.35	64.13	562.12	2949.98	2167.98	3512.10	146.90	501.49	350.98	2448.49	2595.39	2799.47	2946.37	280.51
56	2450817.0	34427.0	2450885	814.0	271788	6362.0	536	814.0	271788	6362	536	1	41.0	18.0	1.0	223	2	8	83	64.16	150.13	48.04	8473.47	3987.32	5325.28	12460.79	159.49	0.00	3862.82	3987.32	4146.81	7850.14	8009.63	-1337.96
57	2450817.0	34427.0	2450907	814.0	271788	6362.0	536	814.0	271788	6362	536	1	45.0	5.0	1.0	1567	1	8	15	72.17	199.18	161.33	567.75	2419.95	1082.55	2987.70	217.79	0.00	1045.65	2419.95	2637.74	3465.60	3683.39	1337.40
58	2450817.0	34427.0	2450886	814.0	271788	6362.0	536	814.0	271788	6362	536	1	3.0	3.0	1.0	14	2	8	27	90.20	183.10	3.66	4844.88	98.82	2435.40	4943.70	3.91	33.59	2273.94	65.23	69.14	2339.17	2343.08	-2370.17
59	2450817.0	34427.0	2450884	814.0	271788	6362.0	536	814.0	271788	6362	536	1	53.0	2.0	1.0	1066	2	8	1	66.72	166.80	106.75	60.05	106.75	66.72	166.80	0.00	0.00	0.00	106.75	106.75	106.75	106.75	40.03
60	2450817.0	34427.0	2450840	814.0	271788	6362.0	536	814.0	271788	6362	536	1	21.0	2.0	1.0	856	3	8	62	2.33	3.86	0.57	203.98	35.34	144.46	239.32	0.00	0.00	18.60	35.34	35.34	53.94	53.94	-109.12
61	2450817.0	34427.0	2450875	814.0	271788	6362.0	536	814.0	271788	6362	536	1	16.0	16.0	1.0	1796	2	8	49	51.74	83.81	4.19	3901.38	205.31	2535.26	4106.69	10.26	0.00	862.40	205.31	215.57	1067.71	1077.97	-2329.95
62	2450817.0	34427.0	2450886	814.0	271788	6362.0	536	814.0	271788	6362	536	1	71.0	19.0	1.0	1255	3	8	57	34.01	77.54	40.32	2121.54	2298.24	1938.57	4419.78	0.00	0.00	1104.66	2298.24	2298.24	3402.90	3402.90	359.67
63	2450817.0	34427.0	2450847	814.0	271788	6362.0	536	814.0	271788	6362	536	1	67.0	4.0	1.0	1657	2	8	29	6.77	12.45	3.61	256.36	104.69	196.33	361.05	1.04	0.00	53.94	104.69	105.73	158.63	159.67	-91.64
64	2450817.0	34427.0	2450905	814.0	271788	6362.0	536	814.0	271788	6362	536	1	6.0	20.0	1.0	1556	3	8	4	6.26	14.83	5.04	39.16	20.16	25.04	59.32	0.00	0.00	11.84	20.16	20.16	32.00	32.00	-4.88
65	2450817.0	45097.0	2450877	674.0	804458	4395.0	579	674.0	804458	4395	579	1	2.0	12.0	1.0	1844	3	9	6	48.56	143.73	137.98	34.50	827.88	291.36	862.38	0.00	0.00	155.22	827.88	827.88	983.10	983.10	536.52
66	2450817.0	45097.0	2450858	674.0	804458	4395.0	579	674.0	804458	4395	579	1	1.0	12.0	1.0	1579	1	9	38	62.96	64.84	42.14	862.60	1601.32	2392.48	2463.92	41.31	224.18	1059.44	1377.14	1418.45	2436.58	2477.89	-1015.34
67	2450817.0	45097.0	2450889	674.0	804458	4395.0	579	674.0	804458	4395	579	1	14.0	19.0	1.0	1243	2	9	23	57.35	108.39	80.20	648.37	1844.60	1319.05	2492.97	0.00	0.00	1096.87	1844.60	1844.60	2941.47	2941.47	525.55
68	2450817.0	45097.0	2450872	674.0	804458	4395.0	579	674.0	804458	4395	579	1	52.0	12.0	1.0	760	3	9	5	33.22	55.14	18.19	184.75	90.95	166.10	275.70	5.45	0.00	74.40	90.95	96.40	165.35	170.80	-75.15
69	2450817.0	45097.0	2450825	674.0	804458	4395.0	579	674.0	804458	4395	579	1	94.0	14.0	1.0	440	3	9	72	95.14	268.29	233.41	2511.36	16805.52	6850.08	19316.88	840.27	0.00	2704.32	16805.52	17645.79	19509.84	20350.11	9955.44
70	2450817.0	45097.0	2450847	674.0	804458	4395.0	579	674.0	804458	4395	579	1	61.0	12.0	1.0	1588	3	9	44	97.85	172.21	92.99	3485.68	4091.56	4305.40	7577.24	0.00	0.00	3409.56	4091.56	4091.56	7501.12	7501.12	-213.84
71	2450817.0	80602.0	2450868	276.0	23666	1703.0	340	276.0	23666	1703	340	2	36.0	7.0	1.0	1474	3	10	74	74.83	184.83	103.50	6018.42	7659.00	5537.42	13677.42	689.31	0.00	1230.62	7659.00	8348.31	8889.62	9578.93	2121.58
72	2450817.0	80602.0	2450854	276.0	23666	1703.0	340	276.0	23666	1703	340	2	43.0	6.0	1.0	1090	1	10	22	76.14	203.29	168.73	760.32	3712.06	1675.08	4472.38	222.72	0.00	402.38	3712.06	3934.78	4114.44	4337.16	2036.98
73	2450817.0	80602.0	2450902	276.0	23666	1703.0	340	276.0	23666	1703	340	2	50.0	9.0	1.0	1460	1	10	76	43.24	74.80	63.58	852.72	4832.08	3286.24	5684.80	289.92	0.00	56.24	4832.08	5122.00	4888.32	5178.24	1545.84
74	2450817.0	80602.0	2450830	276.0	23666	1703.0	340	276.0	23666	1703	340	2	25.0	10.0	1.0	241	3	10	55	21.09	48.29	34.28	770.55	1885.40	1159.95	2655.95	131.97	0.00	796.40	1885.40	2017.37	2681.80	2813.77	725.45
75	2450817.0	80602.0	2450884	276.0	23666	1703.0	340	276.0	23666	1703	340	2	54.0	18.0	1.0	829	2	10	90	98.27	142.49	2.84	12568.50	255.60	8844.30	12824.10	15.33	0.00	127.80	255.60	270.93	383.40	398.73	-8588.70
76	2450817.0	80602.0	2450848	276.0	23666	1703.0	340	276.0	23666	1703	340	2	24.0	5.0	1.0	1861	1	10	95	4.18	12.12	7.39	449.35	702.05	397.10	1151.40	42.12	0.00	91.20	702.05	744.17	793.25	835.37	304.95
77	2450817.0	80602.0	2450859	276.0	23666	1703.0	340	276.0	23666	1703	340	2	33.0	3.0	1.0	1321	3	10	17	67.47	185.54	124.31	1040.91	2113.27	1146.99	3154.18	64.24	507.18	346.80	1606.09	1670.33	1952.89	2017.13	459.10
78	2450817.0	80602.0	2450820	276.0	23666	1703.0	340	276.0	23666	1703	340	2	90.0	17.0	1.0	1327	1	10	63	84.32	222.60	115.75	6731.55	7292.25	5312.16	14023.80	291.69	0.00	3786.30	7292.25	7583.94	11078.55	11370.24	1980.09
79	2450817.0	80602.0	2450891	276.0	23666	1703.0	340	276.0	23666	1703	340	2	93.0	3.0	1.0	1483	1	10	4	87.55	95.42	5.72	358.80	22.88	350.20	381.68	0.22	0.00	83.96	22.88	23.10	106.84	107.06	-327.32
80	2450818.0	64115.0	2450883	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	10.0	10.0	1.0	1615	2	11	81	45.42	129.44	50.48	6395.76	4088.88	3679.02	10484.64	367.99	0.00	2621.16	4088.88	4456.87	6710.04	7078.03	409.86
81	2450818.0	64115.0	2450876	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	65.0	9.0	1.0	721	2	11	30	93.79	114.42	75.51	1167.30	2265.30	2813.70	3432.60	31.71	1472.44	308.70	792.86	824.57	1101.56	1133.27	-2020.84
82	2450818.0	64115.0	2450869	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	95.0	14.0	1.0	490	3	11	33	54.16	107.23	27.87	2618.88	919.71	1787.28	3538.59	45.98	0.00	1698.51	919.71	965.69	2618.22	2664.20	-867.57
83	2450818.0	64115.0	2450829	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	68.0	13.0	1.0	1052	1	11	76	27.04	64.35	7.72	4303.88	586.72	2055.04	4890.60	11.73	0.00	1515.44	586.72	598.45	2102.16	2113.89	-1468.32
84	2450818.0	64115.0	2450888	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	71.0	6.0	1.0	1346	3	11	5	60.75	83.83	19.28	322.75	96.40	303.75	419.15	3.85	0.00	62.85	96.40	100.25	159.25	163.10	-207.35
85	2450818.0	64115.0	2450831	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	65.0	9.0	1.0	1028	2	11	78	49.40	143.75	103.50	3139.50	8073.00	3853.20	11212.50	403.65	0.00	4260.36	8073.00	8476.65	12333.36	12737.01	4219.80
86	2450818.0	64115.0	2450898	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	42.0	17.0	1.0	1094	2	11	32	14.57	30.15	3.31	858.88	105.92	466.24	964.80	4.23	0.00	231.36	105.92	110.15	337.28	341.51	-360.32
87	2450818.0	64115.0	2450841	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	72.0	20.0	1.0	862	2	11	11	14.54	27.77	1.38	290.29	15.18	159.94	305.47	0.60	0.00	9.13	15.18	15.78	24.31	24.91	-144.76
88	2450818.0	64115.0	2450834	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	41.0	3.0	1.0	1978	3	11	56	96.00	270.72	97.45	9703.12	5457.20	5376.00	15160.32	36.01	4256.61	4699.52	1200.59	1236.60	5900.11	5936.12	-4175.41
89	2450818.0	64115.0	2450875	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	40.0	9.0	1.0	1990	3	11	43	1.71	4.85	1.06	162.97	45.58	73.53	208.55	3.19	0.00	14.19	45.58	48.77	59.77	62.96	-27.95
90	2450818.0	64115.0	2450855	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	35.0	11.0	1.0	356	1	11	86	73.25	139.90	8.39	11309.86	721.54	6299.50	12031.40	28.86	0.00	239.94	721.54	750.40	961.48	990.34	-5577.96
91	2450818.0	81128.0	2450860	748.0	83584	2773.0	362	748.0	83584	2773	362	1	58.0	12.0	1.0	520	1	12	75	59.96	82.74	77.77	372.75	5832.75	4497.00	6205.50	291.63	0.00	434.25	5832.75	6124.38	6267.00	6558.63	1335.75
92	2450818.0	81128.0	2450869	748.0	83584	2773.0	362	748.0	83584	2773	362	1	84.0	5.0	1.0	631	2	12	40	86.12	120.56	114.53	241.20	4581.20	3444.80	4822.40	274.87	0.00	1108.80	4581.20	4856.07	5690.00	5964.87	1136.40
93	2450818.0	81128.0	2450846	748.0	83584	2773.0	362	748.0	83584	2773	362	1	21.0	6.0	1.0	728	1	12	41	57.21	159.04	98.60	2478.04	4042.60	2345.61	6520.64	0.00	0.00	1956.11	4042.60	4042.60	5998.71	5998.71	1696.99
94	2450818.0	81128.0	2450879	748.0	83584	2773.0	362	748.0	83584	2773	362	1	8.0	1.0	1.0	578	3	12	79	63.39	148.33	93.44	4336.31	7381.76	5007.81	11718.07	180.85	3764.69	1756.96	3617.07	3797.92	5374.03	5554.88	-1390.74
95	2450818.0	81128.0	2450832	748.0	83584	2773.0	362	748.0	83584	2773	362	1	37.0	18.0	1.0	1924	3	12	89	74.58	146.17	62.85	7415.48	5593.65	6637.62	13009.13	335.61	0.00	4683.18	5593.65	5929.26	10276.83	10612.44	-1043.97
96	2450818.0	81128.0	2450892	748.0	83584	2773.0	362	748.0	83584	2773	362	1	11.0	16.0	1.0	835	3	12	84	80.29	89.12	34.75	4567.08	2919.00	6744.36	7486.08	116.76	0.00	2394.84	2919.00	3035.76	5313.84	5430.60	-3825.36
97	2450818.0	31835.0	2450855	22.0	1502404	6833.0	662	22.0	1502404	6833	662	2	35.0	2.0	1.0	484	3	13	51	43.78	114.26	22.85	4661.91	1165.35	2232.78	5827.26	23.30	0.00	2563.77	1165.35	1188.65	3729.12	3752.42	-1067.43
98	2450818.0	31835.0	2450881	22.0	1502404	6833.0	662	22.0	1502404	6833	662	2	18.0	9.0	1.0	1760	3	13	100	13.66	16.93	2.03	1490.00	203.00	1366.00	1693.00	0.00	0.00	220.00	203.00	203.00	423.00	423.00	-1163.00

customer (first 100 rows)

	C_CUSTOMER_SK	C_CUSTOMER_ID	C_CURRENT_CDEMO_SK	C_CURRENT_HDEMO_SK	C_CURRENT_ADDR_SK	C_FIRST_SHIPTO_DATE_SK	C_FIRST_SALES_DATE_SK	C_SALUTATION	C_FIRST_NAME	C_LAST_NAME	C_PREFERRED_CUST_FLAG	C_BIRTH_DAY	C_BIRTH_MONTH	C_BIRTH_YEAR	C_BIRTH_COUNTRY	C_LOGIN	C_EMAIL_ADDRESS	C_LAST_REVIEW_DATE_SK
0	1	AAAAAAAABAAAAAAA	980124.0	7135.0	946	2452238.0	2452208.0	Mr.	Javier	Lewis	Y	9.0	12.0	1936.0	CHILE	NaN	Javier.Lewis@VFAxlnZEvOx.org	2452508.0
1	2	AAAAAAAACAAAAAAA	819667.0	1461.0	655	2452318.0	2452288.0	Dr.	Amy	Moses	Y	9.0	4.0	1966.0	TOGO	NaN	Amy.Moses@Ovk9KjHH.com	2452318.0
2	3	AAAAAAAADAAAAAAA	1473522.0	6247.0	572	2449130.0	2449100.0	Miss	Latisha	Hamilton	N	18.0	9.0	1979.0	NIUE	NaN	Latisha.Hamilton@V.com	2452313.0
3	4	AAAAAAAAEAAAAAAA	1703214.0	3986.0	558	2450030.0	2450000.0	Dr.	Michael	White	N	7.0	6.0	1983.0	MEXICO	NaN	Michael.White@i.org	2452361.0
4	5	AAAAAAAAFAAAAAAA	953372.0	4470.0	368	2449438.0	2449408.0	Sir	Robert	Moran	N	8.0	5.0	1956.0	FIJI	NaN	Robert.Moran@Hh.edu	2452469.0
5	6	AAAAAAAAGAAAAAAA	213219.0	6374.0	82	2451883.0	2451853.0	Ms.	Brunilda	Sharp	N	4.0	12.0	1925.0	SURINAME	NaN	Brunilda.Sharp@T3pylZEUQjm.org	2452430.0
6	7	AAAAAAAAHAAAAAAA	68377.0	3219.0	814	2451438.0	2451408.0	Ms.	Fonda	Wiles	Y	24.0	4.0	1985.0	GAMBIA	NaN	Fonda.Wiles@S9KnyEtz9hv.org	2452360.0
7	8	AAAAAAAAIAAAAAAA	1215897.0	2471.0	598	2449406.0	2449376.0	Sir	Ollie	Shipman	N	26.0	12.0	1938.0	KOREA, REPUBLIC OF	NaN	Ollie.Shipman@be.org	2452334.0
8	9	AAAAAAAAJAAAAAAA	1168667.0	1404.0	388	2452275.0	2452245.0	Sir	Karl	Gilbert	N	26.0	10.0	1966.0	MONTSERRAT	NaN	Karl.Gilbert@Crg5KyP2IxX9C4d6.edu	2452454.0
9	10	AAAAAAAAKAAAAAAA	1207553.0	5143.0	580	2451353.0	2451323.0	Ms.	Albert	Brunson	N	15.0	10.0	1973.0	JORDAN	NaN	Albert.Brunson@62.com	2452641.0
10	11	AAAAAAAALAAAAAAA	1114415.0	6807.0	999	2452288.0	2452258.0	Ms.	Betty	Williams	N	18.0	12.0	1963.0	BURKINA FASO	NaN	Betty.Williams@xRtDqM1eLBVQNoYAJ.com	2452398.0
11	12	AAAAAAAAMAAAAAAA	502141.0	6577.0	366	2451039.0	2451009.0	Ms.	Margaret	Farias	N	2.0	6.0	1956.0	TURKMENISTAN	NaN	Margaret.Farias@cb.edu	2452634.0
12	13	AAAAAAAANAAAAAAA	1128748.0	2777.0	6	2449658.0	2449628.0	Mrs.	Rosalinda	Grimes	N	1.0	3.0	1970.0	UKRAINE	NaN	Rosalinda.Grimes@tC8pcU7Lt.edu	2452616.0
13	14	AAAAAAAAOAAAAAAA	929344.0	892.0	440	2450318.0	2450288.0	Mr.	Jack	Wilcox	N	30.0	3.0	1937.0	SLOVENIA	NaN	Jack.Wilcox@Y3Etqyv3.org	2452641.0
14	15	AAAAAAAAPAAAAAAA	NaN	134.0	469	NaN	2449010.0	Ms.	Tonya	None	None	NaN	12.0	1969.0	None	NaN	None	2452376.0
15	16	AAAAAAAAABAAAAAA	1196373.0	3014.0	302	2451346.0	2451316.0	Dr.	Margie	Browning	N	24.0	12.0	1933.0	PHILIPPINES	NaN	Margie.Browning@LM674NrE2.org	2452573.0
16	17	AAAAAAAABBAAAAAA	707524.0	3876.0	228	2451068.0	2451038.0	Dr.	Lee	Stovall	N	23.0	12.0	1972.0	PHILIPPINES	NaN	Lee.Stovall@fqKC83UU0f.org	2452454.0
17	18	AAAAAAAACBAAAAAA	1361151.0	6580.0	456	2450041.0	2450011.0	Sir	Brad	Lynch	Y	1.0	9.0	1950.0	URUGUAY	NaN	Brad.Lynch@nAbai.edu	2452549.0
18	19	AAAAAAAADBAAAAAA	1161742.0	4238.0	581	2449580.0	2449550.0	Dr.	Andre	Moore	N	20.0	10.0	1978.0	NICARAGUA	NaN	Andre.Moore@cTZLGYi1ZJi.org	2452576.0
19	20	AAAAAAAAEBAAAAAA	1185612.0	89.0	966	2450965.0	2450935.0	Mr.	Stanton	Dallas	Y	17.0	5.0	1976.0	SWITZERLAND	NaN	Stanton.Dallas@DBXgl18FGo.edu	2452334.0
20	21	AAAAAAAAFBAAAAAA	442697.0	6538.0	979	2451827.0	2451797.0	Miss	Naomi	Barnett	N	18.0	5.0	1956.0	BAHAMAS	NaN	Naomi.Barnett@2T3V3OZOy4KBNAHsT.edu	2452433.0
21	22	AAAAAAAAGBAAAAAA	490494.0	4504.0	467	2451465.0	2451435.0	Sir	Victor	Martinez	N	21.0	12.0	1991.0	CAYMAN ISLANDS	NaN	Victor.Martinez@fC.edu	2452529.0
22	23	AAAAAAAAHBAAAAAA	NaN	2107.0	686	2451012.0	2450982.0	Sir	None	Garrison	N	NaN	5.0	NaN	None	NaN	Earl.Garrison@G3sM4P.com	NaN
23	24	AAAAAAAAIBAAAAAA	17113.0	1102.0	291	2450098.0	2450068.0	Dr.	Paul	Morris	Y	6.0	6.0	1951.0	GUINEA-BISSAU	NaN	Paul.Morris@FMGalegqc3.com	2452499.0
24	25	AAAAAAAAJBAAAAAA	476176.0	3278.0	933	2449246.0	2449216.0	Miss	Nancy	Mccormick	N	6.0	10.0	1973.0	BAHAMAS	NaN	Nancy.Mccormick@DA26I9ZArLF9rxJ6Z.edu	2452425.0
25	26	AAAAAAAAKBAAAAAA	230278.0	1242.0	206	2449816.0	2449786.0	Ms.	Monique	Baker	N	14.0	6.0	1991.0	MOROCCO	NaN	Monique.Baker@9uEucNczY.org	2452356.0
26	27	AAAAAAAALBAAAAAA	111621.0	835.0	96	2450611.0	2450581.0	Dr.	Shawn	Prather	N	7.0	3.0	1972.0	PUERTO RICO	NaN	Shawn.Prather@8BusRYegn6.org	2452353.0
27	28	AAAAAAAAMBAAAAAA	889961.0	897.0	480	2452615.0	2452585.0	Miss	Edith	Hernandez	Y	17.0	8.0	1959.0	CÔTE D'IVOIRE	NaN	Edith.Hernandez@BNHL0k.com	2452631.0
28	29	AAAAAAAANBAAAAAA	1634269.0	1204.0	139	2452216.0	2452186.0	Ms.	Margaret	Collins	Y	25.0	8.0	1973.0	NETHERLANDS ANTILLES	NaN	Margaret.Collins@9obPr3UV.org	2452496.0
29	30	AAAAAAAAOBAAAAAA	84232.0	5869.0	459	2449916.0	2449886.0	Dr.	Pamela	Luna	Y	4.0	7.0	1956.0	GUAM	NaN	Pamela.Luna@QBGuhL36lnA.edu	2452410.0
30	31	AAAAAAAAPBAAAAAA	1275120.0	5724.0	128	2452054.0	2452024.0	Dr.	William	Craig	N	13.0	6.0	1964.0	SPAIN	NaN	William.Craig@prVDE1E8AHc.org	2452336.0
31	32	AAAAAAAAACAAAAAA	1369589.0	6163.0	290	2449471.0	2449441.0	Dr.	Kenneth	Wood	N	2.0	8.0	1927.0	MOLDOVA, REPUBLIC OF	NaN	Kenneth.Wood@RIA.edu	2452510.0
32	33	AAAAAAAABCAAAAAA	1680761.0	5823.0	438	2451572.0	2451542.0	Mrs.	Donna	Betts	Y	25.0	3.0	1958.0	FRANCE	NaN	Donna.Betts@YJ14k.edu	2452455.0
33	34	AAAAAAAACCAAAAAA	NaN	NaN	501	2452192.0	2452162.0	None	None	Woods	None	NaN	NaN	NaN	None	NaN	Brandon.Woods@hjKbf.edu	2452408.0
34	35	AAAAAAAADCAAAAAA	339036.0	2057.0	231	2451937.0	2451907.0	Dr.	Marie	Peterson	N	19.0	6.0	1953.0	KIRIBATI	NaN	Marie.Peterson@1zg9tydFHafA5.com	2452581.0
35	36	AAAAAAAAECAAAAAA	655414.0	2223.0	585	2449222.0	2449192.0	Dr.	Anthony	Fisher	N	29.0	11.0	1968.0	KYRGYZSTAN	NaN	Anthony.Fisher@jJrZfeDcz8P.com	2452470.0
36	37	AAAAAAAAFCAAAAAA	827972.0	2281.0	943	2449848.0	2449818.0	Dr.	Dwight	Schneider	Y	9.0	1.0	1949.0	RUSSIAN FEDERATION	NaN	Dwight.Schneider@koxO7zAysvOd.com	2452293.0
37	38	AAAAAAAAGCAAAAAA	766645.0	3879.0	360	2450323.0	2450293.0	Mrs.	Ha	Carpenter	Y	30.0	3.0	1939.0	PARAGUAY	NaN	Ha.Carpenter@XgcUt4svNz.com	2452351.0
38	39	AAAAAAAAHCAAAAAA	1617182.0	4013.0	844	2452131.0	2452101.0	Sir	Neil	Cox	N	14.0	12.0	1951.0	ECUADOR	NaN	Neil.Cox@FRuR2bFK.com	2452586.0
39	40	AAAAAAAAICAAAAAA	1795301.0	NaN	45	2451159.0	NaN	None	Jacqueline	Hatfield	None	26.0	NaN	1942.0	None	NaN	None	NaN
40	41	AAAAAAAAJCAAAAAA	941420.0	5068.0	316	2449989.0	2449959.0	Miss	Maxine	Carlson	N	26.0	6.0	1939.0	ISLE OF MAN	NaN	Maxine.Carlson@StyP5lAokmQ29QHYMLa.edu	2452464.0
41	42	AAAAAAAAKCAAAAAA	1867377.0	3327.0	277	2449869.0	2449839.0	Dr.	Deborah	Burton	N	17.0	1.0	1950.0	COMOROS	NaN	Deborah.Burton@xt.edu	2452498.0
42	43	AAAAAAAALCAAAAAA	385562.0	3676.0	743	2451705.0	2451675.0	Mr.	William	Warner	Y	5.0	12.0	1965.0	GUAM	NaN	William.Warner@zegnrzurU.org	2452537.0
43	44	AAAAAAAAMCAAAAAA	497758.0	5427.0	296	2449750.0	2449720.0	Miss	Mabel	Richmond	Y	7.0	12.0	1932.0	CAMBODIA	NaN	Mabel.Richmond@Tkla.edu	2452333.0
44	45	AAAAAAAANCAAAAAA	1036174.0	2399.0	777	2451118.0	2451088.0	None	None	Hammonds	None	5.0	NaN	NaN	NIGER	NaN	None	NaN
45	46	AAAAAAAAOCAAAAAA	843672.0	4729.0	386	2451857.0	2451827.0	Mrs.	Jane	Stephenson	Y	13.0	4.0	1990.0	TURKEY	NaN	Jane.Stephenson@lq8ZQLAUMZhR.edu	2452301.0
46	47	AAAAAAAAPCAAAAAA	1634314.0	5368.0	469	2449165.0	2449135.0	Mr.	Luis	Young	N	3.0	12.0	1982.0	BRUNEI DARUSSALAM	NaN	Luis.Young@0DmV.edu	2452586.0
47	48	AAAAAAAAADAAAAAA	8817.0	311.0	252	2449531.0	2449501.0	Ms.	Jill	Jackson	N	15.0	9.0	1961.0	LUXEMBOURG	NaN	Jill.Jackson@n6I7SF.org	2452575.0
48	49	AAAAAAAABDAAAAAA	936800.0	1514.0	581	2449364.0	2449334.0	Mr.	Steven	Venable	N	13.0	6.0	1961.0	NETHERLANDS ANTILLES	NaN	Steven.Venable@0hA90vhfK7k9F4h.com	2452350.0
49	50	AAAAAAAACDAAAAAA	759177.0	72.0	567	2449384.0	2449354.0	Mr.	Christopher	Eller	N	24.0	11.0	1965.0	AUSTRALIA	NaN	Christopher.Eller@gV5Ua7HOmt.com	2452520.0
50	51	AAAAAAAADDAAAAAA	532799.0	6920.0	688	2452390.0	2452360.0	Dr.	David	Nieves	N	5.0	10.0	1926.0	CHRISTMAS ISLAND	NaN	David.Nieves@LcDkQ.edu	2452570.0
51	52	AAAAAAAAEDAAAAAA	534808.0	4768.0	128	2451421.0	2451391.0	Mrs.	Wendy	Colley	N	1.0	4.0	1982.0	FRENCH GUIANA	NaN	Wendy.Colley@qLBjqbAQQGj.edu	2452553.0
52	53	AAAAAAAAFDAAAAAA	1597348.0	7017.0	439	2451820.0	2451790.0	Mr.	Paul	Higgins	Y	23.0	9.0	1950.0	GABON	NaN	Paul.Higgins@qG9NrSTLz9HaNHX.edu	2452447.0
53	54	AAAAAAAAGDAAAAAA	380102.0	2381.0	660	2449980.0	2449950.0	Ms.	Donna	King	Y	3.0	2.0	1940.0	TUNISIA	NaN	Donna.King@TEftU.com	2452446.0
54	55	AAAAAAAAHDAAAAAA	783093.0	1151.0	256	2451539.0	2451509.0	Dr.	Beryl	Thomason	N	12.0	8.0	1933.0	UNITED KINGDOM	NaN	Beryl.Thomason@OeqefhtCmZTAj.com	2452380.0
55	56	AAAAAAAAIDAAAAAA	344460.0	3092.0	524	2451424.0	2451394.0	Miss	Pamela	Delgado	N	29.0	1.0	1960.0	GUERNSEY	NaN	Pamela.Delgado@8OpV0Ldj8vq2K9ZK.org	2452334.0
56	57	AAAAAAAAJDAAAAAA	752932.0	128.0	571	2449741.0	2449711.0	Mr.	Travis	Melendez	Y	10.0	3.0	1961.0	AFGHANISTAN	NaN	Travis.Melendez@344rCMk.edu	2452606.0
57	58	AAAAAAAAKDAAAAAA	528756.0	6879.0	155	2451386.0	2451356.0	Mr.	Cecil	Peterman	Y	29.0	2.0	1988.0	ICELAND	NaN	Cecil.Peterman@tbeqEuUvS4ZM4Px9N.com	2452447.0
58	59	AAAAAAAALDAAAAAA	1895444.0	4787.0	683	2451157.0	2451127.0	Miss	Melanie	Morrison	N	6.0	1.0	1947.0	HUNGARY	NaN	Melanie.Morrison@F2foqn.edu	2452530.0
59	60	AAAAAAAAMDAAAAAA	1179671.0	3200.0	282	2449714.0	2449684.0	Ms.	Dollie	Thao	N	15.0	7.0	1990.0	SWITZERLAND	NaN	Dollie.Thao@Xead5vagsekdHDLUkv.edu	2452407.0
60	61	AAAAAAAANDAAAAAA	1620078.0	6683.0	688	2451136.0	2451106.0	Sir	Joseph	White	Y	6.0	5.0	1978.0	SENEGAL	NaN	Joseph.White@c0EJ7pimuu.com	2452462.0
61	62	AAAAAAAAODAAAAAA	821787.0	4700.0	413	2451854.0	2451824.0	Mr.	Matthew	Brown	Y	1.0	6.0	1973.0	KOREA, REPUBLIC OF	NaN	Matthew.Brown@F.edu	2452319.0
62	63	AAAAAAAAPDAAAAAA	1790374.0	2445.0	716	2450179.0	2450149.0	Dr.	Frank	Morton	N	26.0	4.0	1943.0	EGYPT	NaN	Frank.Morton@Hd7jNaA3s.com	2452425.0
63	64	AAAAAAAAAEAAAAAA	1260191.0	6284.0	930	2452379.0	2452349.0	Dr.	Michael	Frye	N	27.0	6.0	1941.0	CAPE VERDE	NaN	Michael.Frye@aM1HsbOs0smgpLo.org	2452426.0
64	65	AAAAAAAABEAAAAAA	1778884.0	2234.0	584	2451898.0	2451868.0	Dr.	Rodney	Taft	N	18.0	9.0	1991.0	VIRGIN ISLANDS, U.S.	NaN	Rodney.Taft@qe.com	2452353.0
65	66	AAAAAAAACEAAAAAA	747190.0	6036.0	882	2449294.0	2449264.0	Ms.	Julie	Chester	N	8.0	9.0	1950.0	HONG KONG	NaN	Julie.Chester@Kv.com	2452375.0
66	67	AAAAAAAADEAAAAAA	1118294.0	2032.0	970	2452033.0	2452003.0	Dr.	Gerald	Thomas	N	27.0	10.0	1948.0	NORWAY	NaN	Gerald.Thomas@zSuIGSgb6iyu.org	2452414.0
67	68	AAAAAAAAEEAAAAAA	779965.0	6069.0	126	2451936.0	2451906.0	Dr.	Arthur	Troy	Y	20.0	8.0	1928.0	LUXEMBOURG	NaN	Arthur.Troy@3VY5bV30AifrO.com	2452542.0
68	69	AAAAAAAAFEAAAAAA	971368.0	4167.0	366	2450154.0	2450124.0	Sir	Steven	Mcclellan	Y	15.0	1.0	1950.0	NEPAL	NaN	Steven.Mcclellan@UviyOLnu2m1POo.edu	2452340.0
69	70	AAAAAAAAGEAAAAAA	1460929.0	5492.0	102	2451944.0	2451914.0	Sir	James	Smith	N	7.0	12.0	1963.0	KUWAIT	NaN	James.Smith@ifJngGlNG.edu	2452342.0
70	71	AAAAAAAAHEAAAAAA	1292064.0	2257.0	450	2450248.0	2450218.0	Mr.	Roderick	Rogers	N	4.0	11.0	1967.0	OMAN	NaN	Roderick.Rogers@pJdioQ.com	2452462.0
71	72	AAAAAAAAIEAAAAAA	1608738.0	6364.0	390	2451700.0	2451670.0	Dr.	Bradley	Barry	Y	21.0	3.0	1937.0	TAJIKISTAN	NaN	Bradley.Barry@Kq2ONpEXU9YSno31.edu	2452601.0
72	73	AAAAAAAAJEAAAAAA	425740.0	431.0	369	2449133.0	2449103.0	Mr.	David	Vasquez	N	17.0	4.0	1956.0	ISRAEL	NaN	David.Vasquez@j.org	2452489.0
73	74	AAAAAAAAKEAAAAAA	1434225.0	347.0	269	2452641.0	2452611.0	Sir	Eric	Woods	Y	19.0	2.0	1953.0	SAINT LUCIA	NaN	Eric.Woods@CfPzy1AUqxd2.com	2452584.0
74	75	AAAAAAAALEAAAAAA	1888603.0	143.0	730	2451755.0	2451725.0	Dr.	Annie	Grant	Y	25.0	5.0	1925.0	TUVALU	NaN	Annie.Grant@tccug5KC1oT2nL.com	2452401.0
75	76	AAAAAAAAMEAAAAAA	526064.0	2054.0	691	2451760.0	2451730.0	Mr.	Craig	Lowry	Y	7.0	3.0	1946.0	WALLIS AND FUTUNA	NaN	Craig.Lowry@92zokgx8duX.org	2452430.0
76	77	AAAAAAAANEAAAAAA	915180.0	2167.0	154	2451632.0	2451602.0	Dr.	Darrin	Smith	N	30.0	5.0	1931.0	UNITED STATES	NaN	Darrin.Smith@Mti.edu	2452355.0
77	78	AAAAAAAAOEAAAAAA	1092537.0	3677.0	264	2449388.0	2449358.0	Ms.	Wanda	Davis	N	11.0	5.0	1940.0	NETHERLANDS ANTILLES	NaN	Wanda.Davis@I6s7DD86i6.edu	2452339.0
78	79	AAAAAAAAPEAAAAAA	389494.0	3493.0	539	2450863.0	2450833.0	Miss	Sandi	Tran	Y	10.0	6.0	1937.0	FRENCH GUIANA	NaN	Sandi.Tran@myikqStif1Q.edu	2452644.0
79	80	AAAAAAAAAFAAAAAA	1499808.0	3891.0	727	2450558.0	2450528.0	Mrs.	Eleanor	Evans	N	21.0	12.0	1948.0	CÔTE D'IVOIRE	NaN	Eleanor.Evans@zxvr5rl.org	2452413.0
80	81	AAAAAAAABFAAAAAA	728917.0	388.0	306	2452562.0	2452532.0	Ms.	Jessica	Levesque	Y	17.0	7.0	1940.0	ALBANIA	NaN	Jessica.Levesque@06mGqI9mHG.org	2452414.0
81	82	AAAAAAAACFAAAAAA	75627.0	5081.0	88	2450357.0	2450327.0	Sir	Max	Mueller	N	26.0	2.0	1947.0	IRAQ	NaN	Max.Mueller@xqCZRBSrTGD6CBvXh.com	2452303.0
82	83	AAAAAAAADFAAAAAA	976724.0	5574.0	824	2451032.0	2451002.0	Miss	Daisy	Flynn	N	24.0	1.0	1943.0	NEW ZEALAND	NaN	Daisy.Flynn@288e6Z0csxJ.com	2452338.0
83	84	AAAAAAAAEFAAAAAA	1250744.0	2821.0	898	2449496.0	2449466.0	Mrs.	Ami	Montgomery	Y	2.0	5.0	1964.0	JAMAICA	NaN	Ami.Montgomery@VBSKqhL36j55.edu	2452526.0
84	85	AAAAAAAAFFAAAAAA	1293499.0	37.0	575	2449868.0	2449838.0	Miss	Michele	Baldwin	Y	30.0	10.0	1978.0	GEORGIA	NaN	Michele.Baldwin@sIVO1J4U.org	2452491.0
85	86	AAAAAAAAGFAAAAAA	1428237.0	6963.0	442	2451560.0	2451530.0	Dr.	Marvin	Matlock	Y	21.0	10.0	1983.0	BRUNEI DARUSSALAM	NaN	Marvin.Matlock@0FXEZp.org	2452633.0
86	87	AAAAAAAAHFAAAAAA	1452824.0	1427.0	30	2449404.0	2449374.0	Dr.	Kevin	White	N	2.0	7.0	1934.0	BENIN	NaN	Kevin.White@x9oTPjEI6AdDQ7n4l.edu	2452492.0
87	88	AAAAAAAAIFAAAAAA	495575.0	131.0	687	2450991.0	2450961.0	Dr.	Phyllis	Horner	N	20.0	8.0	1965.0	UZBEKISTAN	NaN	Phyllis.Horner@uQy.edu	2452403.0
88	89	AAAAAAAAJFAAAAAA	694848.0	5383.0	318	2451425.0	2451395.0	Mrs.	Helen	Macdonald	Y	15.0	3.0	1981.0	DOMINICA	NaN	Helen.Macdonald@3d4.com	2452626.0
89	90	AAAAAAAAKFAAAAAA	417827.0	5083.0	139	2451494.0	2451464.0	Mr.	Nathan	Pond	Y	7.0	5.0	1985.0	GUYANA	NaN	Nathan.Pond@nPh7drM687MhI.org	2452637.0
90	91	AAAAAAAALFAAAAAA	827176.0	2441.0	906	2450406.0	2450376.0	Miss	Heather	White	Y	28.0	3.0	1962.0	MARTINIQUE	NaN	Heather.White@3JitjmxYQnXAtCNAl.com	2452295.0
91	92	AAAAAAAAMFAAAAAA	953084.0	5771.0	211	2452582.0	2452552.0	Miss	Crystal	Ryan	Y	8.0	2.0	1973.0	ECUADOR	NaN	Crystal.Ryan@Ju2rO6u.com	2452294.0
92	93	AAAAAAAANFAAAAAA	647375.0	6229.0	836	2449341.0	2449311.0	Sir	Clyde	Williams	N	6.0	10.0	1927.0	FRENCH POLYNESIA	NaN	Clyde.Williams@en.com	2452510.0
93	94	AAAAAAAAOFAAAAAA	451893.0	1990.0	287	2449553.0	2449523.0	Mr.	Craig	Byrd	Y	14.0	5.0	1982.0	FRENCH POLYNESIA	NaN	Craig.Byrd@Dc0OEMXkvvuJ.com	2452445.0
94	95	AAAAAAAAPFAAAAAA	796503.0	1663.0	23	2452468.0	2452438.0	Ms.	Elizabeth	Hollingsworth	N	17.0	4.0	1943.0	GREECE	NaN	Elizabeth.Hollingsworth@lVpeDS5Rcs.com	2452584.0
95	96	AAAAAAAAAGAAAAAA	1148074.0	6019.0	611	2451505.0	2451475.0	Sir	Shaun	Lewis	N	22.0	10.0	1955.0	NIGERIA	NaN	Shaun.Lewis@MTRUPYFTXf9.com	2452395.0
96	97	AAAAAAAABGAAAAAA	418763.0	102.0	41	2452467.0	2452437.0	Mr.	Stewart	Ruffin	Y	19.0	5.0	1971.0	MYANMAR	NaN	Stewart.Ruffin@R7Mrx.edu	2452528.0
97	98	AAAAAAAACGAAAAAA	574977.0	1615.0	853	2450894.0	2450864.0	Dr.	David	Lewis	N	23.0	6.0	1965.0	KIRIBATI	NaN	David.Lewis@5mhvq.org	2452558.0
98	99	AAAAAAAADGAAAAAA	622676.0	2152.0	228	2451687.0	2451657.0	Sir	Austin	Tran	Y	9.0	12.0	1961.0	NAMIBIA	NaN	Austin.Tran@ect7cnjLsucbd.edu	2452437.0

customer_address (first 100 rows)

	CA_ADDRESS_SK	CA_ADDRESS_ID	CA_STREET_NUMBER	CA_STREET_NAME	CA_STREET_TYPE	CA_SUITE_NUMBER	CA_CITY	CA_COUNTY	CA_STATE	CA_ZIP	CA_COUNTRY	CA_GMT_OFFSET	CA_LOCATION_TYPE
0	1	AAAAAAAABAAAAAAA	18.0	Jackson	Parkway	Suite 280	Fairfield	Maricopa County	AZ	86192.0	United States	-7.0	condo
1	2	AAAAAAAACAAAAAAA	362.0	Washington 6th	RD	Suite 80	Fairview	Taos County	NM	85709.0	United States	-7.0	condo
2	3	AAAAAAAADAAAAAAA	585.0	Dogwood Washington	Circle	Suite Q	Pleasant Valley	York County	PA	12477.0	United States	-5.0	single family
3	4	AAAAAAAAEAAAAAAA	111.0	Smith	Wy	Suite A	Oak Ridge	Kit Carson County	CO	88371.0	United States	-7.0	condo
4	5	AAAAAAAAFAAAAAAA	31.0	College	Blvd	Suite 180	Glendale	Barry County	MO	63951.0	United States	-6.0	single family
5	6	AAAAAAAAGAAAAAAA	59.0	Williams Sixth	Parkway	Suite 100	Lakeview	Chelan County	WA	98579.0	United States	-8.0	single family
6	7	AAAAAAAAHAAAAAAA	NaN	Hill 7th	Road	Suite U	Farmington	None	None	39145.0	United States	NaN	None
7	8	AAAAAAAAIAAAAAAA	875.0	Lincoln	Ct.	Suite Y	Union	Bledsoe County	TN	38721.0	United States	-5.0	apartment
8	9	AAAAAAAAJAAAAAAA	819.0	1st Laurel	Ave	Suite 70	New Hope	Perry County	AL	39431.0	United States	-6.0	condo
9	10	AAAAAAAAKAAAAAAA	851.0	Woodland Poplar	ST	Suite Y	Martinsville	Haines Borough	AK	90419.0	United States	-9.0	condo
10	11	AAAAAAAALAAAAAAA	189.0	13th 2nd	Street	Suite 470	Maple Grove	Madison County	MT	68252.0	United States	-7.0	single family
11	12	AAAAAAAAMAAAAAAA	76.0	Ash 8th	Ct.	Suite O	Edgewood	Mifflin County	PA	10069.0	United States	-5.0	apartment
12	13	AAAAAAAANAAAAAAA	424.0	Main Second	Ln	Suite 130	Greenville	Noxubee County	MS	51387.0	United States	-6.0	single family
13	14	AAAAAAAAOAAAAAAA	923.0	Pine Oak	Dr.	Suite 100	None	Lipscomb County	TX	77752.0	None	-6.0	None
14	15	AAAAAAAAPAAAAAAA	314.0	Spring	Ct.	Suite B	Oakland	Washington County	OH	49843.0	United States	-5.0	apartment
15	16	AAAAAAAAABAAAAAA	576.0	Adams Center	Street	Suite J	Valley View	Oldham County	TX	75124.0	United States	-6.0	condo
16	17	AAAAAAAABBAAAAAA	801.0	Green	Dr.	Suite 0	Montpelier	Richland County	OH	48930.0	United States	-5.0	single family
17	18	AAAAAAAACBAAAAAA	460.0	Maple Spruce	Court	Suite 480	Somerville	Potter County	SD	57783.0	United States	-7.0	condo
18	19	AAAAAAAADBAAAAAA	611.0	Wilson	Way	Suite O	Oakdale	Tangipahoa Parish	LA	79584.0	United States	-6.0	apartment
19	20	AAAAAAAAEBAAAAAA	675.0	Elm Wilson	Street	Suite I	Hopewell	Williams County	OH	40587.0	United States	-5.0	condo
20	21	AAAAAAAAFBAAAAAA	294.0	Jefferson Smith	Ave	Suite 390	Springfield	Marshall County	SD	59303.0	United States	-7.0	condo
21	22	AAAAAAAAGBAAAAAA	874.0	Park Second	Avenue	Suite N	Green Acres	Perkins County	NE	67683.0	United States	-7.0	single family
22	23	AAAAAAAAHBAAAAAA	230.0	6th Spring	Drive	Suite U	Newtown	Jewell County	KS	61749.0	United States	-6.0	single family
23	24	AAAAAAAAIBAAAAAA	837.0	4th	Street	Suite 200	Fairfield	Marin County	CA	96192.0	United States	-8.0	single family
24	25	AAAAAAAAJBAAAAAA	986.0	West East	Blvd	Suite F	Pleasant Grove	Coweta County	GA	34136.0	United States	-5.0	apartment
25	26	AAAAAAAAKBAAAAAA	809.0	Central	None	None	Springdale	Forsyth County	None	28883.0	None	-5.0	None
26	27	AAAAAAAALBAAAAAA	649.0	Williams	Ct.	Suite 400	Cedar	Utah County	UT	81229.0	United States	-7.0	condo
27	28	AAAAAAAAMBAAAAAA	992.0	Birch	Avenue	Suite N	Oak Hill	Montrose County	CO	87838.0	United States	-7.0	condo
28	29	AAAAAAAANBAAAAAA	572.0	First Elevnth	Pkwy	Suite 160	Newport	Richland County	IL	61521.0	United States	-6.0	single family
29	30	AAAAAAAAOBAAAAAA	748.0	Oak	Avenue	Suite M	Wildwood	Clark County	MO	66871.0	United States	-6.0	apartment
30	31	AAAAAAAAPBAAAAAA	291.0	East	Lane	Suite A	Forestville	Walworth County	SD	53027.0	United States	-7.0	condo
31	32	AAAAAAAAACAAAAAA	243.0	8th Lake	Wy	Suite G	Oakland	Madison County	NC	29843.0	United States	-5.0	condo
32	33	AAAAAAAABCAAAAAA	711.0	3rd 4th	Ave	Suite 10	Pine Grove	Sumter County	GA	34593.0	United States	-5.0	apartment
33	34	AAAAAAAACCAAAAAA	785.0	1st Cedar	Ave	Suite 40	Greenville	Russell County	VA	21387.0	United States	-5.0	condo
34	35	AAAAAAAADCAAAAAA	814.0	Washington Main	Drive	Suite C	Waterloo	Henry County	VA	21675.0	United States	-5.0	single family
35	36	AAAAAAAAECAAAAAA	648.0	South 15th	Court	Suite 410	Lakeview	Lewis County	TN	38579.0	United States	-6.0	condo
36	37	AAAAAAAAFCAAAAAA	999.0	4th	Ct.	Suite 250	Sumner	Greenville County	SC	20519.0	United States	-5.0	single family
37	38	AAAAAAAAGCAAAAAA	912.0	Second Hickory	Drive	Suite 190	Plainview	Baca County	CO	83683.0	United States	-7.0	condo
38	39	AAAAAAAAHCAAAAAA	13.0	10th	Ct.	Suite 280	Hamilton	Lee County	IA	52808.0	United States	-6.0	apartment
39	40	AAAAAAAAICAAAAAA	369.0	2nd Maple	Pkwy	Suite H	Bridgeport	Ferry County	WA	95817.0	United States	-8.0	single family
40	41	AAAAAAAAJCAAAAAA	198.0	Washington	RD	Suite S	Oakland	Ouray County	CO	89843.0	United States	-7.0	apartment
41	42	AAAAAAAAKCAAAAAA	884.0	Oak	Court	Suite F	Riverside	Scott County	MS	59231.0	United States	-6.0	single family
42	43	AAAAAAAALCAAAAAA	762.0	Spring	Dr.	Suite F	Sulphur Springs	Jefferson County	IL	68354.0	United States	-6.0	condo
43	44	AAAAAAAAMCAAAAAA	NaN	None	None	Suite 490	None	O-Brien County	None	58721.0	United States	-6.0	None
44	45	AAAAAAAANCAAAAAA	206.0	4th	Street	Suite 120	Union	Washington County	ME	9321.0	United States	-5.0	apartment
45	46	AAAAAAAAOCAAAAAA	995.0	Oak	Boulevard	Suite 120	Union Hill	Forrest County	MS	57746.0	United States	-6.0	single family
46	47	AAAAAAAAPCAAAAAA	776.0	Washington View	Wy	Suite 60	Pleasant Grove	Mercer County	KY	44136.0	United States	-5.0	apartment
47	48	AAAAAAAAADAAAAAA	895.0	Valley	Lane	Suite 480	Salem	James City County	VA	28048.0	United States	-5.0	condo
48	49	AAAAAAAABDAAAAAA	583.0	Highland 2nd	Street	Suite 90	Fairfield	York County	ME	6792.0	United States	-5.0	apartment
49	50	AAAAAAAACDAAAAAA	190.0	7th	Wy	Suite D	Enterprise	Gray County	KS	61757.0	United States	-6.0	single family
50	51	AAAAAAAADDAAAAAA	845.0	5th	Pkwy	Suite F	Green Acres	Hamblen County	TN	37683.0	United States	-5.0	single family
51	52	AAAAAAAAEDAAAAAA	472.0	Ridge Park	ST	Suite 60	Oakdale	Muskingum County	OH	49584.0	United States	-5.0	single family
52	53	AAAAAAAAFDAAAAAA	884.0	College Franklin	Boulevard	Suite 440	Riverview	McPherson County	SD	59003.0	United States	-7.0	single family
53	54	AAAAAAAAGDAAAAAA	857.0	10th 10th	Boulevard	Suite V	Oak Hill	Martin County	NC	27838.0	United States	-5.0	single family
54	55	AAAAAAAAHDAAAAAA	177.0	Lee Adams	Way	Suite S	Ashland	Macomb County	MI	44244.0	United States	-5.0	condo
55	56	AAAAAAAAIDAAAAAA	49.0	Valley 14th	Wy	Suite V	Woodland	Goodhue County	MN	54854.0	United States	-6.0	condo
56	57	AAAAAAAAJDAAAAAA	625.0	10th Oak	RD	Suite J	Enterprise	Bottineau County	ND	51757.0	United States	-6.0	single family
57	58	AAAAAAAAKDAAAAAA	917.0	Miller 15th	Parkway	Suite 230	Union Hill	Canyon County	ID	87746.0	United States	-7.0	single family
58	59	AAAAAAAALDAAAAAA	NaN	None	Court	None	Newtown	Valley County	MT	NaN	United States	-7.0	condo
59	60	AAAAAAAAMDAAAAAA	NaN	Lee	None	None	Forest Hills	Green County	KY	49237.0	None	NaN	apartment
60	61	AAAAAAAANDAAAAAA	159.0	Ridge	Boulevard	Suite 20	Sulphur Springs	Laurel County	KY	48354.0	United States	-5.0	single family
61	62	AAAAAAAAODAAAAAA	925.0	Lincoln	Lane	Suite 90	Riverdale	Lewis County	WV	29391.0	United States	-5.0	condo
62	63	AAAAAAAAPDAAAAAA	416.0	Elevnth Green	Drive	Suite A	Midway	Jewell County	KS	61904.0	United States	-6.0	single family
63	64	AAAAAAAAAEAAAAAA	546.0	Meadow	Circle	Suite 90	Macedonia	Trousdale County	TN	31087.0	United States	-6.0	apartment
64	65	AAAAAAAABEAAAAAA	147.0	Fourth Lake	RD	Suite 460	Bethel	Iowa County	IA	55281.0	United States	-6.0	single family
65	66	AAAAAAAACEAAAAAA	238.0	Pine	Road	Suite 470	Crossroads	Sioux County	NE	60534.0	United States	-7.0	single family
66	67	AAAAAAAADEAAAAAA	896.0	11th	Street	Suite B	Flint	Van Buren County	IA	58909.0	United States	-6.0	single family
67	68	AAAAAAAAEEAAAAAA	240.0	Laurel Forest	Street	Suite H	Summit	Bledsoe County	TN	30499.0	United States	-5.0	single family
68	69	AAAAAAAAFEAAAAAA	37.0	Pine	Drive	Suite H	Glendale	Scott County	KY	43951.0	United States	-5.0	single family
69	70	AAAAAAAAGEAAAAAA	511.0	14th Sycamore	Parkway	Suite 210	White Oak	Union County	OH	46668.0	United States	-5.0	condo
70	71	AAAAAAAAHEAAAAAA	38.0	Ridge	Cir.	Suite 370	Lakeview	Nottoway County	VA	28579.0	United States	-5.0	apartment
71	72	AAAAAAAAIEAAAAAA	982.0	Willow	Blvd	Suite 20	Richville	Cascade County	MT	65945.0	United States	-7.0	single family
72	73	AAAAAAAAJEAAAAAA	158.0	Green Broadway	Road	Suite B	Cedar Grove	Kingman County	KS	60411.0	United States	-6.0	apartment
73	74	AAAAAAAAKEAAAAAA	723.0	Sycamore	Boulevard	Suite C	Spring Hill	Wapello County	IA	56787.0	United States	-6.0	condo
74	75	AAAAAAAALEAAAAAA	32.0	Pine	Wy	Suite 480	Valley View	Cleburne County	AL	35124.0	United States	-6.0	single family
75	76	AAAAAAAAMEAAAAAA	257.0	Walnut South	Drive	Suite 420	Shiloh	Menominee County	MI	49275.0	United States	-5.0	single family
76	77	AAAAAAAANEAAAAAA	151.0	Hill	Wy	Suite U	Oak Grove	Thomas County	GA	38370.0	United States	-5.0	single family
77	78	AAAAAAAAOEAAAAAA	857.0	Railroad	Boulevard	Suite 140	Green Acres	Potter County	SD	57683.0	United States	-7.0	single family
78	79	AAAAAAAAPEAAAAAA	409.0	Park 7th	Cir.	Suite U	Farmington	Wayne County	TN	39145.0	United States	-6.0	condo
79	80	AAAAAAAAAFAAAAAA	298.0	12th	Way	Suite J	Oakland	Grant County	KY	49843.0	United States	-6.0	condo
80	81	AAAAAAAABFAAAAAA	953.0	River Spruce	Pkwy	Suite 0	Union Hill	Brown County	TX	77746.0	United States	-6.0	condo
81	82	AAAAAAAACFAAAAAA	97.0	River Main	Ln	Suite L	Buena Vista	Santa Clara County	CA	95752.0	United States	-8.0	single family
82	83	AAAAAAAADFAAAAAA	410.0	Spring Poplar	Drive	Suite 20	Bethel	Nueces County	TX	75281.0	United States	-6.0	condo
83	84	AAAAAAAAEFAAAAAA	886.0	Sunset	Circle	Suite T	Warwick	Itawamba County	MS	51398.0	United States	-6.0	apartment
84	85	AAAAAAAAFFAAAAAA	476.0	Willow	Avenue	Suite R	Five Points	Crawford County	PA	16098.0	United States	-5.0	single family
85	86	AAAAAAAAGFAAAAAA	699.0	11th 14th	ST	Suite O	Five Points	Pike County	KY	46098.0	United States	-5.0	single family
86	87	AAAAAAAAHFAAAAAA	NaN	6th	Lane	None	Maple Grove	Claiborne County	None	58252.0	None	NaN	apartment
87	88	AAAAAAAAIFAAAAAA	104.0	9th	RD	Suite W	Frogtown	Bay County	MI	48784.0	United States	-5.0	single family
88	89	AAAAAAAAJFAAAAAA	440.0	Church 7th	Ave	Suite 200	Lakeside	Solano County	CA	99532.0	United States	-8.0	apartment
89	90	AAAAAAAAKFAAAAAA	892.0	North East	Drive	Suite U	Centerville	Hettinger County	ND	50059.0	United States	-6.0	condo
90	91	AAAAAAAALFAAAAAA	936.0	None	Wy	None	Riverside	Murray County	None	NaN	United States	NaN	None
91	92	AAAAAAAAMFAAAAAA	734.0	Ash Wilson	Boulevard	Suite V	Newtown	Boise County	ID	81749.0	United States	-7.0	condo
92	93	AAAAAAAANFAAAAAA	755.0	Washington Sunset	RD	Suite Q	Walnut Grove	Greenup County	KY	47752.0	United States	-6.0	apartment
93	94	AAAAAAAAOFAAAAAA	NaN	None	None	None	Lakeside	Washington County	GA	NaN	None	NaN	None
94	95	AAAAAAAAPFAAAAAA	571.0	Hickory River	Ln	Suite M	Woodland	Thayer County	NE	64854.0	United States	-7.0	condo
95	96	AAAAAAAAAGAAAAAA	246.0	Cedar Franklin	RD	Suite A	Oakdale	Fulton County	KY	49584.0	United States	-6.0	condo
96	97	AAAAAAAABGAAAAAA	858.0	Sunset Main	Way	Suite 320	Enterprise	Hardin County	TX	71757.0	United States	-6.0	single family
97	98	AAAAAAAACGAAAAAA	346.0	Walnut	Road	Suite 370	Spring Hill	Labette County	KS	66787.0	United States	-6.0	condo
98	99	AAAAAAAADGAAAAAA	222.0	Park View	Drive	Suite U	Wilson	Dickinson County	MI	46971.0	United States	-5.0	apartment

customer_demographics (first 100 rows)

	CD_DEMO_SK	CD_GENDER	CD_MARITAL_STATUS	CD_EDUCATION_STATUS	CD_PURCHASE_ESTIMATE	CD_CREDIT_RATING
0	1	M	M	Primary	500	Good
1	2	F	M	Primary	500	Good
2	3	M	S	Primary	500	Good
3	4	F	S	Primary	500	Good
4	5	M	D	Primary	500	Good
5	6	F	D	Primary	500	Good
6	7	M	W	Primary	500	Good
7	8	F	W	Primary	500	Good
8	9	M	U	Primary	500	Good
9	10	F	U	Primary	500	Good
10	11	M	M	Secondary	500	Good
11	12	F	M	Secondary	500	Good
12	13	M	S	Secondary	500	Good
13	14	F	S	Secondary	500	Good
14	15	M	D	Secondary	500	Good
15	16	F	D	Secondary	500	Good
16	17	M	W	Secondary	500	Good
17	18	F	W	Secondary	500	Good
18	19	M	U	Secondary	500	Good
19	20	F	U	Secondary	500	Good
20	21	M	M	College	500	Good
21	22	F	M	College	500	Good
22	23	M	S	College	500	Good
23	24	F	S	College	500	Good
24	25	M	D	College	500	Good
25	26	F	D	College	500	Good
26	27	M	W	College	500	Good
27	28	F	W	College	500	Good
28	29	M	U	College	500	Good
29	30	F	U	College	500	Good
30	31	M	M	2 yr Degree	500	Good
31	32	F	M	2 yr Degree	500	Good
32	33	M	S	2 yr Degree	500	Good
33	34	F	S	2 yr Degree	500	Good
34	35	M	D	2 yr Degree	500	Good
35	36	F	D	2 yr Degree	500	Good
36	37	M	W	2 yr Degree	500	Good
37	38	F	W	2 yr Degree	500	Good
38	39	M	U	2 yr Degree	500	Good
39	40	F	U	2 yr Degree	500	Good
40	41	M	M	4 yr Degree	500	Good
41	42	F	M	4 yr Degree	500	Good
42	43	M	S	4 yr Degree	500	Good
43	44	F	S	4 yr Degree	500	Good
44	45	M	D	4 yr Degree	500	Good
45	46	F	D	4 yr Degree	500	Good
46	47	M	W	4 yr Degree	500	Good
47	48	F	W	4 yr Degree	500	Good
48	49	M	U	4 yr Degree	500	Good
49	50	F	U	4 yr Degree	500	Good
50	51	M	M	Advanced Degree	500	Good
51	52	F	M	Advanced Degree	500	Good
52	53	M	S	Advanced Degree	500	Good
53	54	F	S	Advanced Degree	500	Good
54	55	M	D	Advanced Degree	500	Good
55	56	F	D	Advanced Degree	500	Good
56	57	M	W	Advanced Degree	500	Good
57	58	F	W	Advanced Degree	500	Good
58	59	M	U	Advanced Degree	500	Good
59	60	F	U	Advanced Degree	500	Good
60	61	M	M	Unknown	500	Good
61	62	F	M	Unknown	500	Good
62	63	M	S	Unknown	500	Good
63	64	F	S	Unknown	500	Good
64	65	M	D	Unknown	500	Good
65	66	F	D	Unknown	500	Good
66	67	M	W	Unknown	500	Good
67	68	F	W	Unknown	500	Good
68	69	M	U	Unknown	500	Good
69	70	F	U	Unknown	500	Good
70	71	M	M	Primary	1000	Good
71	72	F	M	Primary	1000	Good
72	73	M	S	Primary	1000	Good
73	74	F	S	Primary	1000	Good
74	75	M	D	Primary	1000	Good
75	76	F	D	Primary	1000	Good
76	77	M	W	Primary	1000	Good
77	78	F	W	Primary	1000	Good
78	79	M	U	Primary	1000	Good
79	80	F	U	Primary	1000	Good
80	81	M	M	Secondary	1000	Good
81	82	F	M	Secondary	1000	Good
82	83	M	S	Secondary	1000	Good
83	84	F	S	Secondary	1000	Good
84	85	M	D	Secondary	1000	Good
85	86	F	D	Secondary	1000	Good
86	87	M	W	Secondary	1000	Good
87	88	F	W	Secondary	1000	Good
88	89	M	U	Secondary	1000	Good
89	90	F	U	Secondary	1000	Good
90	91	M	M	College	1000	Good
91	92	F	M	College	1000	Good
92	93	M	S	College	1000	Good
93	94	F	S	College	1000	Good
94	95	M	D	College	1000	Good
95	96	F	D	College	1000	Good
96	97	M	W	College	1000	Good
97	98	F	W	College	1000	Good
98	99	M	U	College	1000	Good

date_dim (first 100 rows)

	D_DATE_SK	D_DATE_ID	D_DATE	D_MONTH_SEQ	D_WEEK_SEQ	D_QUARTER_SEQ	D_YEAR	D_DOW	D_MOY	D_DOM	D_QOY	D_FY_YEAR	D_FY_QUARTER_SEQ	D_FY_WEEK_SEQ	D_DAY_NAME	D_QUARTER_NAME	D_HOLIDAY	D_WEEKEND	D_FOLLOWING_HOLIDAY	D_FIRST_DOM	D_LAST_DOM	D_SAME_DAY_LY	D_SAME_DAY_LQ	D_CURRENT_DAY	D_CURRENT_WEEK	D_CURRENT_MONTH	D_CURRENT_QUARTER	D_CURRENT_YEAR
0	2415022	AAAAAAAAOKJNECAA	1900-01-02	0	1	1	1900	1	1	2	1	1900	1	1	Monday	1900Q1	N	N	Y	2415021	2415020	2414657	2414930	N	N	N	N	N
1	2415023	AAAAAAAAPKJNECAA	1900-01-03	0	1	1	1900	2	1	3	1	1900	1	1	Tuesday	1900Q1	N	N	N	2415021	2415020	2414658	2414931	N	N	N	N	N
2	2415024	AAAAAAAAALJNECAA	1900-01-04	0	1	1	1900	3	1	4	1	1900	1	1	Wednesday	1900Q1	N	N	N	2415021	2415020	2414659	2414932	N	N	N	N	N
3	2415025	AAAAAAAABLJNECAA	1900-01-05	0	1	1	1900	4	1	5	1	1900	1	1	Thursday	1900Q1	N	N	N	2415021	2415020	2414660	2414933	N	N	N	N	N
4	2415026	AAAAAAAACLJNECAA	1900-01-06	0	1	1	1900	5	1	6	1	1900	1	1	Friday	1900Q1	N	Y	N	2415021	2415020	2414661	2414934	N	N	N	N	N
5	2415027	AAAAAAAADLJNECAA	1900-01-07	0	1	1	1900	6	1	7	1	1900	1	1	Saturday	1900Q1	N	Y	N	2415021	2415020	2414662	2414935	N	N	N	N	N
6	2415028	AAAAAAAAELJNECAA	1900-01-08	0	1	1	1900	0	1	8	1	1900	1	1	Sunday	1900Q1	N	N	N	2415021	2415020	2414663	2414936	N	N	N	N	N
7	2415029	AAAAAAAAFLJNECAA	1900-01-09	0	2	1	1900	1	1	9	1	1900	1	2	Monday	1900Q1	N	N	N	2415021	2415020	2414664	2414937	N	N	N	N	N
8	2415030	AAAAAAAAGLJNECAA	1900-01-10	0	2	1	1900	2	1	10	1	1900	1	2	Tuesday	1900Q1	N	N	N	2415021	2415020	2414665	2414938	N	N	N	N	N
9	2415031	AAAAAAAAHLJNECAA	1900-01-11	0	2	1	1900	3	1	11	1	1900	1	2	Wednesday	1900Q1	N	N	N	2415021	2415020	2414666	2414939	N	N	N	N	N
10	2415032	AAAAAAAAILJNECAA	1900-01-12	0	2	1	1900	4	1	12	1	1900	1	2	Thursday	1900Q1	N	N	N	2415021	2415020	2414667	2414940	N	N	N	N	N
11	2415033	AAAAAAAAJLJNECAA	1900-01-13	0	2	1	1900	5	1	13	1	1900	1	2	Friday	1900Q1	N	Y	N	2415021	2415020	2414668	2414941	N	N	N	N	N
12	2415034	AAAAAAAAKLJNECAA	1900-01-14	0	2	1	1900	6	1	14	1	1900	1	2	Saturday	1900Q1	N	Y	N	2415021	2415020	2414669	2414942	N	N	N	N	N
13	2415035	AAAAAAAALLJNECAA	1900-01-15	0	2	1	1900	0	1	15	1	1900	1	2	Sunday	1900Q1	N	N	N	2415021	2415020	2414670	2414943	N	N	N	N	N
14	2415036	AAAAAAAAMLJNECAA	1900-01-16	0	3	1	1900	1	1	16	1	1900	1	3	Monday	1900Q1	N	N	N	2415021	2415020	2414671	2414944	N	N	N	N	N
15	2415037	AAAAAAAANLJNECAA	1900-01-17	0	3	1	1900	2	1	17	1	1900	1	3	Tuesday	1900Q1	N	N	N	2415021	2415020	2414672	2414945	N	N	N	N	N
16	2415038	AAAAAAAAOLJNECAA	1900-01-18	0	3	1	1900	3	1	18	1	1900	1	3	Wednesday	1900Q1	N	N	N	2415021	2415020	2414673	2414946	N	N	N	N	N
17	2415039	AAAAAAAAPLJNECAA	1900-01-19	0	3	1	1900	4	1	19	1	1900	1	3	Thursday	1900Q1	N	N	N	2415021	2415020	2414674	2414947	N	N	N	N	N
18	2415040	AAAAAAAAAMJNECAA	1900-01-20	0	3	1	1900	5	1	20	1	1900	1	3	Friday	1900Q1	N	Y	N	2415021	2415020	2414675	2414948	N	N	N	N	N
19	2415041	AAAAAAAABMJNECAA	1900-01-21	0	3	1	1900	6	1	21	1	1900	1	3	Saturday	1900Q1	N	Y	N	2415021	2415020	2414676	2414949	N	N	N	N	N
20	2415042	AAAAAAAACMJNECAA	1900-01-22	0	3	1	1900	0	1	22	1	1900	1	3	Sunday	1900Q1	N	N	N	2415021	2415020	2414677	2414950	N	N	N	N	N
21	2415043	AAAAAAAADMJNECAA	1900-01-23	0	4	1	1900	1	1	23	1	1900	1	4	Monday	1900Q1	N	N	N	2415021	2415020	2414678	2414951	N	N	N	N	N
22	2415044	AAAAAAAAEMJNECAA	1900-01-24	0	4	1	1900	2	1	24	1	1900	1	4	Tuesday	1900Q1	N	N	N	2415021	2415020	2414679	2414952	N	N	N	N	N
23	2415045	AAAAAAAAFMJNECAA	1900-01-25	0	4	1	1900	3	1	25	1	1900	1	4	Wednesday	1900Q1	N	N	N	2415021	2415020	2414680	2414953	N	N	N	N	N
24	2415046	AAAAAAAAGMJNECAA	1900-01-26	0	4	1	1900	4	1	26	1	1900	1	4	Thursday	1900Q1	N	N	N	2415021	2415020	2414681	2414954	N	N	N	N	N
25	2415047	AAAAAAAAHMJNECAA	1900-01-27	0	4	1	1900	5	1	27	1	1900	1	4	Friday	1900Q1	N	Y	N	2415021	2415020	2414682	2414955	N	N	N	N	N
26	2415048	AAAAAAAAIMJNECAA	1900-01-28	0	4	1	1900	6	1	28	1	1900	1	4	Saturday	1900Q1	N	Y	N	2415021	2415020	2414683	2414956	N	N	N	N	N
27	2415049	AAAAAAAAJMJNECAA	1900-01-29	0	4	1	1900	0	1	29	1	1900	1	4	Sunday	1900Q1	N	N	N	2415021	2415020	2414684	2414957	N	N	N	N	N
28	2415050	AAAAAAAAKMJNECAA	1900-01-30	0	5	1	1900	1	1	30	1	1900	1	5	Monday	1900Q1	N	N	N	2415021	2415020	2414685	2414958	N	N	N	N	N
29	2415051	AAAAAAAALMJNECAA	1900-01-31	0	5	1	1900	2	1	31	1	1900	1	5	Tuesday	1900Q1	N	N	N	2415021	2415020	2414686	2414959	N	N	N	N	N
30	2415052	AAAAAAAAMMJNECAA	1900-02-01	1	5	1	1900	3	2	1	1	1900	1	5	Wednesday	1900Q1	N	N	N	2415052	2415082	2414687	2414960	N	N	N	N	N
31	2415053	AAAAAAAANMJNECAA	1900-02-02	1	5	1	1900	4	2	2	1	1900	1	5	Thursday	1900Q1	N	N	N	2415052	2415082	2414688	2414961	N	N	N	N	N
32	2415054	AAAAAAAAOMJNECAA	1900-02-03	1	5	1	1900	5	2	3	1	1900	1	5	Friday	1900Q1	N	Y	N	2415052	2415082	2414689	2414962	N	N	N	N	N
33	2415055	AAAAAAAAPMJNECAA	1900-02-04	1	5	1	1900	6	2	4	1	1900	1	5	Saturday	1900Q1	N	Y	N	2415052	2415082	2414690	2414963	N	N	N	N	N
34	2415056	AAAAAAAAANJNECAA	1900-02-05	1	5	1	1900	0	2	5	1	1900	1	5	Sunday	1900Q1	N	N	N	2415052	2415082	2414691	2414964	N	N	N	N	N
35	2415057	AAAAAAAABNJNECAA	1900-02-06	1	6	1	1900	1	2	6	1	1900	1	6	Monday	1900Q1	N	N	N	2415052	2415082	2414692	2414965	N	N	N	N	N
36	2415058	AAAAAAAACNJNECAA	1900-02-07	1	6	1	1900	2	2	7	1	1900	1	6	Tuesday	1900Q1	N	N	N	2415052	2415082	2414693	2414966	N	N	N	N	N
37	2415059	AAAAAAAADNJNECAA	1900-02-08	1	6	1	1900	3	2	8	1	1900	1	6	Wednesday	1900Q1	N	N	N	2415052	2415082	2414694	2414967	N	N	N	N	N
38	2415060	AAAAAAAAENJNECAA	1900-02-09	1	6	1	1900	4	2	9	1	1900	1	6	Thursday	1900Q1	N	N	N	2415052	2415082	2414695	2414968	N	N	N	N	N
39	2415061	AAAAAAAAFNJNECAA	1900-02-10	1	6	1	1900	5	2	10	1	1900	1	6	Friday	1900Q1	N	Y	N	2415052	2415082	2414696	2414969	N	N	N	N	N
40	2415062	AAAAAAAAGNJNECAA	1900-02-11	1	6	1	1900	6	2	11	1	1900	1	6	Saturday	1900Q1	N	Y	N	2415052	2415082	2414697	2414970	N	N	N	N	N
41	2415063	AAAAAAAAHNJNECAA	1900-02-12	1	6	1	1900	0	2	12	1	1900	1	6	Sunday	1900Q1	N	N	N	2415052	2415082	2414698	2414971	N	N	N	N	N
42	2415064	AAAAAAAAINJNECAA	1900-02-13	1	7	1	1900	1	2	13	1	1900	1	7	Monday	1900Q1	N	N	N	2415052	2415082	2414699	2414972	N	N	N	N	N
43	2415065	AAAAAAAAJNJNECAA	1900-02-14	1	7	1	1900	2	2	14	1	1900	1	7	Tuesday	1900Q1	N	N	N	2415052	2415082	2414700	2414973	N	N	N	N	N
44	2415066	AAAAAAAAKNJNECAA	1900-02-15	1	7	1	1900	3	2	15	1	1900	1	7	Wednesday	1900Q1	N	N	N	2415052	2415082	2414701	2414974	N	N	N	N	N
45	2415067	AAAAAAAALNJNECAA	1900-02-16	1	7	1	1900	4	2	16	1	1900	1	7	Thursday	1900Q1	N	N	N	2415052	2415082	2414702	2414975	N	N	N	N	N
46	2415068	AAAAAAAAMNJNECAA	1900-02-17	1	7	1	1900	5	2	17	1	1900	1	7	Friday	1900Q1	N	Y	N	2415052	2415082	2414703	2414976	N	N	N	N	N
47	2415069	AAAAAAAANNJNECAA	1900-02-18	1	7	1	1900	6	2	18	1	1900	1	7	Saturday	1900Q1	N	Y	N	2415052	2415082	2414704	2414977	N	N	N	N	N
48	2415070	AAAAAAAAONJNECAA	1900-02-19	1	7	1	1900	0	2	19	1	1900	1	7	Sunday	1900Q1	N	N	N	2415052	2415082	2414705	2414978	N	N	N	N	N
49	2415071	AAAAAAAAPNJNECAA	1900-02-20	1	8	1	1900	1	2	20	1	1900	1	8	Monday	1900Q1	N	N	N	2415052	2415082	2414706	2414979	N	N	N	N	N
50	2415072	AAAAAAAAAOJNECAA	1900-02-21	1	8	1	1900	2	2	21	1	1900	1	8	Tuesday	1900Q1	N	N	N	2415052	2415082	2414707	2414980	N	N	N	N	N
51	2415073	AAAAAAAABOJNECAA	1900-02-22	1	8	1	1900	3	2	22	1	1900	1	8	Wednesday	1900Q1	N	N	N	2415052	2415082	2414708	2414981	N	N	N	N	N
52	2415074	AAAAAAAACOJNECAA	1900-02-23	1	8	1	1900	4	2	23	1	1900	1	8	Thursday	1900Q1	N	N	N	2415052	2415082	2414709	2414982	N	N	N	N	N
53	2415075	AAAAAAAADOJNECAA	1900-02-24	1	8	1	1900	5	2	24	1	1900	1	8	Friday	1900Q1	N	Y	N	2415052	2415082	2414710	2414983	N	N	N	N	N
54	2415076	AAAAAAAAEOJNECAA	1900-02-25	1	8	1	1900	6	2	25	1	1900	1	8	Saturday	1900Q1	N	Y	N	2415052	2415082	2414711	2414984	N	N	N	N	N
55	2415077	AAAAAAAAFOJNECAA	1900-02-26	1	8	1	1900	0	2	26	1	1900	1	8	Sunday	1900Q1	N	N	N	2415052	2415082	2414712	2414985	N	N	N	N	N
56	2415078	AAAAAAAAGOJNECAA	1900-02-27	1	9	1	1900	1	2	27	1	1900	1	9	Monday	1900Q1	N	N	N	2415052	2415082	2414713	2414986	N	N	N	N	N
57	2415079	AAAAAAAAHOJNECAA	1900-02-28	1	9	1	1900	2	2	28	1	1900	1	9	Tuesday	1900Q1	N	N	N	2415052	2415082	2414714	2414987	N	N	N	N	N
58	2415080	AAAAAAAAIOJNECAA	1900-03-01	2	9	2	1900	4	3	1	1	1900	2	9	Thursday	1900Q1	N	N	N	2415080	2415139	2414715	2414988	N	N	N	N	N
59	2415081	AAAAAAAAJOJNECAA	1900-03-02	2	9	2	1900	5	3	2	1	1900	2	9	Friday	1900Q1	N	Y	N	2415080	2415139	2414716	2414989	N	N	N	N	N
60	2415082	AAAAAAAAKOJNECAA	1900-03-03	2	9	2	1900	6	3	3	1	1900	2	9	Saturday	1900Q1	N	Y	N	2415080	2415139	2414717	2414990	N	N	N	N	N
61	2415083	AAAAAAAALOJNECAA	1900-03-04	2	9	2	1900	0	3	4	1	1900	2	9	Sunday	1900Q1	N	N	N	2415080	2415139	2414718	2414991	N	N	N	N	N
62	2415084	AAAAAAAAMOJNECAA	1900-03-05	2	9	2	1900	1	3	5	1	1900	2	9	Monday	1900Q1	N	N	N	2415080	2415139	2414719	2414992	N	N	N	N	N
63	2415085	AAAAAAAANOJNECAA	1900-03-06	2	10	2	1900	2	3	6	1	1900	2	10	Tuesday	1900Q1	N	N	N	2415080	2415139	2414720	2414993	N	N	N	N	N
64	2415086	AAAAAAAAOOJNECAA	1900-03-07	2	10	2	1900	3	3	7	1	1900	2	10	Wednesday	1900Q1	N	N	N	2415080	2415139	2414721	2414994	N	N	N	N	N
65	2415087	AAAAAAAAPOJNECAA	1900-03-08	2	10	2	1900	4	3	8	1	1900	2	10	Thursday	1900Q1	N	N	N	2415080	2415139	2414722	2414995	N	N	N	N	N
66	2415088	AAAAAAAAAPJNECAA	1900-03-09	2	10	2	1900	5	3	9	1	1900	2	10	Friday	1900Q1	N	Y	N	2415080	2415139	2414723	2414996	N	N	N	N	N
67	2415089	AAAAAAAABPJNECAA	1900-03-10	2	10	2	1900	6	3	10	1	1900	2	10	Saturday	1900Q1	N	Y	N	2415080	2415139	2414724	2414997	N	N	N	N	N
68	2415090	AAAAAAAACPJNECAA	1900-03-11	2	10	2	1900	0	3	11	1	1900	2	10	Sunday	1900Q1	N	N	N	2415080	2415139	2414725	2414998	N	N	N	N	N
69	2415091	AAAAAAAADPJNECAA	1900-03-12	2	10	2	1900	1	3	12	1	1900	2	10	Monday	1900Q1	N	N	N	2415080	2415139	2414726	2414999	N	N	N	N	N
70	2415092	AAAAAAAAEPJNECAA	1900-03-13	2	11	2	1900	2	3	13	1	1900	2	11	Tuesday	1900Q1	N	N	N	2415080	2415139	2414727	2415000	N	N	N	N	N
71	2415093	AAAAAAAAFPJNECAA	1900-03-14	2	11	2	1900	3	3	14	1	1900	2	11	Wednesday	1900Q1	N	N	N	2415080	2415139	2414728	2415001	N	N	N	N	N
72	2415094	AAAAAAAAGPJNECAA	1900-03-15	2	11	2	1900	4	3	15	1	1900	2	11	Thursday	1900Q1	N	N	N	2415080	2415139	2414729	2415002	N	N	N	N	N
73	2415095	AAAAAAAAHPJNECAA	1900-03-16	2	11	2	1900	5	3	16	1	1900	2	11	Friday	1900Q1	N	Y	N	2415080	2415139	2414730	2415003	N	N	N	N	N
74	2415096	AAAAAAAAIPJNECAA	1900-03-17	2	11	2	1900	6	3	17	1	1900	2	11	Saturday	1900Q1	N	Y	N	2415080	2415139	2414731	2415004	N	N	N	N	N
75	2415097	AAAAAAAAJPJNECAA	1900-03-18	2	11	2	1900	0	3	18	1	1900	2	11	Sunday	1900Q1	N	N	N	2415080	2415139	2414732	2415005	N	N	N	N	N
76	2415098	AAAAAAAAKPJNECAA	1900-03-19	2	11	2	1900	1	3	19	1	1900	2	11	Monday	1900Q1	N	N	N	2415080	2415139	2414733	2415006	N	N	N	N	N
77	2415099	AAAAAAAALPJNECAA	1900-03-20	2	12	2	1900	2	3	20	1	1900	2	12	Tuesday	1900Q1	N	N	N	2415080	2415139	2414734	2415007	N	N	N	N	N
78	2415100	AAAAAAAAMPJNECAA	1900-03-21	2	12	2	1900	3	3	21	1	1900	2	12	Wednesday	1900Q1	N	N	N	2415080	2415139	2414735	2415008	N	N	N	N	N
79	2415101	AAAAAAAANPJNECAA	1900-03-22	2	12	2	1900	4	3	22	1	1900	2	12	Thursday	1900Q1	N	N	N	2415080	2415139	2414736	2415009	N	N	N	N	N
80	2415102	AAAAAAAAOPJNECAA	1900-03-23	2	12	2	1900	5	3	23	1	1900	2	12	Friday	1900Q1	N	Y	N	2415080	2415139	2414737	2415010	N	N	N	N	N
81	2415103	AAAAAAAAPPJNECAA	1900-03-24	2	12	2	1900	6	3	24	1	1900	2	12	Saturday	1900Q1	N	Y	N	2415080	2415139	2414738	2415011	N	N	N	N	N
82	2415104	AAAAAAAAAAKNECAA	1900-03-25	2	12	2	1900	0	3	25	1	1900	2	12	Sunday	1900Q1	N	N	N	2415080	2415139	2414739	2415012	N	N	N	N	N
83	2415105	AAAAAAAABAKNECAA	1900-03-26	2	12	2	1900	1	3	26	1	1900	2	12	Monday	1900Q1	N	N	N	2415080	2415139	2414740	2415013	N	N	N	N	N
84	2415106	AAAAAAAACAKNECAA	1900-03-27	2	13	2	1900	2	3	27	1	1900	2	13	Tuesday	1900Q1	N	N	N	2415080	2415139	2414741	2415014	N	N	N	N	N
85	2415107	AAAAAAAADAKNECAA	1900-03-28	2	13	2	1900	3	3	28	1	1900	2	13	Wednesday	1900Q1	N	N	N	2415080	2415139	2414742	2415015	N	N	N	N	N
86	2415108	AAAAAAAAEAKNECAA	1900-03-29	2	13	2	1900	4	3	29	1	1900	2	13	Thursday	1900Q1	N	N	N	2415080	2415139	2414743	2415016	N	N	N	N	N
87	2415109	AAAAAAAAFAKNECAA	1900-03-30	2	13	2	1900	5	3	30	1	1900	2	13	Friday	1900Q1	N	Y	N	2415080	2415139	2414744	2415017	N	N	N	N	N
88	2415110	AAAAAAAAGAKNECAA	1900-03-31	2	13	2	1900	6	3	31	1	1900	2	13	Saturday	1900Q1	N	Y	N	2415080	2415139	2414745	2415018	N	N	N	N	N
89	2415111	AAAAAAAAHAKNECAA	1900-04-01	3	13	2	1900	0	4	1	2	1900	2	13	Sunday	1900Q2	N	N	N	2415111	2415201	2414746	2415021	N	N	N	N	N
90	2415112	AAAAAAAAIAKNECAA	1900-04-02	3	13	2	1900	1	4	2	2	1900	2	13	Monday	1900Q2	N	N	N	2415111	2415201	2414747	2415022	N	N	N	N	N
91	2415113	AAAAAAAAJAKNECAA	1900-04-03	3	14	2	1900	2	4	3	2	1900	2	14	Tuesday	1900Q2	N	N	N	2415111	2415201	2414748	2415023	N	N	N	N	N
92	2415114	AAAAAAAAKAKNECAA	1900-04-04	3	14	2	1900	3	4	4	2	1900	2	14	Wednesday	1900Q2	N	N	N	2415111	2415201	2414749	2415024	N	N	N	N	N
93	2415115	AAAAAAAALAKNECAA	1900-04-05	3	14	2	1900	4	4	5	2	1900	2	14	Thursday	1900Q2	N	N	N	2415111	2415201	2414750	2415025	N	N	N	N	N
94	2415116	AAAAAAAAMAKNECAA	1900-04-06	3	14	2	1900	5	4	6	2	1900	2	14	Friday	1900Q2	N	Y	N	2415111	2415201	2414751	2415026	N	N	N	N	N
95	2415117	AAAAAAAANAKNECAA	1900-04-07	3	14	2	1900	6	4	7	2	1900	2	14	Saturday	1900Q2	N	Y	N	2415111	2415201	2414752	2415027	N	N	N	N	N
96	2415118	AAAAAAAAOAKNECAA	1900-04-08	3	14	2	1900	0	4	8	2	1900	2	14	Sunday	1900Q2	N	N	N	2415111	2415201	2414753	2415028	N	N	N	N	N
97	2415119	AAAAAAAAPAKNECAA	1900-04-09	3	14	2	1900	1	4	9	2	1900	2	14	Monday	1900Q2	N	N	N	2415111	2415201	2414754	2415029	N	N	N	N	N
98	2415120	AAAAAAAAABKNECAA	1900-04-10	3	15	2	1900	2	4	10	2	1900	2	15	Tuesday	1900Q2	N	N	N	2415111	2415201	2414755	2415030	N	N	N	N	N

household_demographics (first 100 rows)

	HD_DEMO_SK	HD_INCOME_BAND_SK	HD_BUY_POTENTIAL
0	1	2	0-500
1	2	3	0-500
2	3	4	0-500
3	4	5	0-500
4	5	6	0-500
5	6	7	0-500
6	7	8	0-500
7	8	9	0-500
8	9	10	0-500
9	10	11	0-500
10	11	12	0-500
11	12	13	0-500
12	13	14	0-500
13	14	15	0-500
14	15	16	0-500
15	16	17	0-500
16	17	18	0-500
17	18	19	0-500
18	19	20	0-500
19	20	1	501-1000
20	21	2	501-1000
21	22	3	501-1000
22	23	4	501-1000
23	24	5	501-1000
24	25	6	501-1000
25	26	7	501-1000
26	27	8	501-1000
27	28	9	501-1000
28	29	10	501-1000
29	30	11	501-1000
30	31	12	501-1000
31	32	13	501-1000
32	33	14	501-1000
33	34	15	501-1000
34	35	16	501-1000
35	36	17	501-1000
36	37	18	501-1000
37	38	19	501-1000
38	39	20	501-1000
39	40	1	1001-5000
40	41	2	1001-5000
41	42	3	1001-5000
42	43	4	1001-5000
43	44	5	1001-5000
44	45	6	1001-5000
45	46	7	1001-5000
46	47	8	1001-5000
47	48	9	1001-5000
48	49	10	1001-5000
49	50	11	1001-5000
50	51	12	1001-5000
51	52	13	1001-5000
52	53	14	1001-5000
53	54	15	1001-5000
54	55	16	1001-5000
55	56	17	1001-5000
56	57	18	1001-5000
57	58	19	1001-5000
58	59	20	1001-5000
59	60	1	5001-10000
60	61	2	5001-10000
61	62	3	5001-10000
62	63	4	5001-10000
63	64	5	5001-10000
64	65	6	5001-10000
65	66	7	5001-10000
66	67	8	5001-10000
67	68	9	5001-10000
68	69	10	5001-10000
69	70	11	5001-10000
70	71	12	5001-10000
71	72	13	5001-10000
72	73	14	5001-10000
73	74	15	5001-10000
74	75	16	5001-10000
75	76	17	5001-10000
76	77	18	5001-10000
77	78	19	5001-10000
78	79	20	5001-10000
79	80	1	>10000
80	81	2	>10000
81	82	3	>10000
82	83	4	>10000
83	84	5	>10000
84	85	6	>10000
85	86	7	>10000
86	87	8	>10000
87	88	9	>10000
88	89	10	>10000
89	90	11	>10000
90	91	12	>10000
91	92	13	>10000
92	93	14	>10000
93	94	15	>10000
94	95	16	>10000
95	96	17	>10000
96	97	18	>10000
97	98	19	>10000
98	99	20	>10000

income_band (first 100 rows)

	IB_INCOME_BAND_SK	IB_LOWER_BOUND	IB_UPPER_BOUND
0	1	0	10000
1	2	10001	20000
2	3	20001	30000
3	4	30001	40000
4	5	40001	50000
5	6	50001	60000
6	7	60001	70000
7	8	70001	80000
8	9	80001	90000
9	10	90001	100000
10	11	100001	110000
11	12	110001	120000
12	13	120001	130000
13	14	130001	140000
14	15	140001	150000
15	16	150001	160000
16	17	160001	170000
17	18	170001	180000
18	19	180001	190000
19	20	190001	200000

inventory (first 100 rows)

	INV_DATE_SK	INV_ITEM_SK	INV_WAREHOUSE_SK	INV_QUANTITY_ON_HAND
0	2450815	1	1	211.0
1	2450815	2	1	235.0
2	2450815	4	1	859.0
3	2450815	7	1	704.0
4	2450815	8	1	891.0
5	2450815	10	1	834.0
6	2450815	13	1	591.0
7	2450815	14	1	579.0
8	2450815	16	1	622.0
9	2450815	19	1	745.0
10	2450815	20	1	405.0
11	2450815	22	1	NaN
12	2450815	25	1	676.0
13	2450815	26	1	865.0
14	2450815	28	1	24.0
15	2450815	31	1	170.0
16	2450815	32	1	797.0
17	2450815	34	1	332.0
18	2450815	37	1	618.0
19	2450815	38	1	909.0
20	2450815	40	1	738.0
21	2450815	43	1	699.0
22	2450815	44	1	975.0
23	2450815	46	1	551.0
24	2450815	49	1	857.0
25	2450815	50	1	894.0
26	2450815	52	1	279.0
27	2450815	55	1	206.0
28	2450815	56	1	746.0
29	2450815	58	1	NaN
30	2450815	61	1	154.0
31	2450815	62	1	888.0
32	2450815	64	1	773.0
33	2450815	67	1	107.0
34	2450815	68	1	801.0
35	2450815	70	1	749.0
36	2450815	73	1	419.0
37	2450815	74	1	541.0
38	2450815	76	1	359.0
39	2450815	79	1	578.0
40	2450815	80	1	42.0
41	2450815	82	1	83.0
42	2450815	85	1	192.0
43	2450815	86	1	567.0
44	2450815	88	1	710.0
45	2450815	91	1	282.0
46	2450815	92	1	631.0
47	2450815	94	1	587.0
48	2450815	97	1	645.0
49	2450815	98	1	667.0
50	2450815	100	1	26.0
51	2450815	103	1	224.0
52	2450815	104	1	901.0
53	2450815	106	1	887.0
54	2450815	109	1	455.0
55	2450815	110	1	784.0
56	2450815	112	1	742.0
57	2450815	115	1	978.0
58	2450815	116	1	207.0
59	2450815	118	1	462.0
60	2450815	121	1	406.0
61	2450815	122	1	559.0
62	2450815	124	1	999.0
63	2450815	127	1	870.0
64	2450815	128	1	982.0
65	2450815	130	1	700.0
66	2450815	133	1	26.0
67	2450815	134	1	356.0
68	2450815	136	1	143.0
69	2450815	139	1	838.0
70	2450815	140	1	846.0
71	2450815	142	1	657.0
72	2450815	145	1	181.0
73	2450815	146	1	730.0
74	2450815	148	1	49.0
75	2450815	151	1	652.0
76	2450815	152	1	861.0
77	2450815	154	1	329.0
78	2450815	157	1	286.0
79	2450815	158	1	NaN
80	2450815	160	1	62.0
81	2450815	163	1	894.0
82	2450815	164	1	463.0
83	2450815	166	1	458.0
84	2450815	169	1	696.0
85	2450815	170	1	450.0
86	2450815	172	1	842.0
87	2450815	175	1	79.0
88	2450815	176	1	260.0
89	2450815	178	1	894.0
90	2450815	181	1	4.0
91	2450815	182	1	281.0
92	2450815	184	1	797.0
93	2450815	187	1	981.0
94	2450815	188	1	58.0
95	2450815	190	1	834.0
96	2450815	193	1	54.0
97	2450815	194	1	856.0
98	2450815	196	1	803.0

item (first 100 rows)

	I_ITEM_SK	I_ITEM_ID	I_REC_START_DATE	I_REC_END_DATE	I_ITEM_DESC	I_CURRENT_PRICE	I_WHOLESALE_COST	I_BRAND_ID	I_BRAND	I_CLASS_ID	I_CLASS	I_CATEGORY_ID	I_CATEGORY	I_MANUFACT_ID	I_MANUFACT	I_SIZE	I_FORMULATION	I_COLOR	I_UNITS	I_CONTAINER	I_MANAGER_ID	I_PRODUCT_NAME
0	1	AAAAAAAABAAAAAAA	1997-10-27	None	Powers will not get influences. Electoral ports should show low, annual chains. Now young visitors may pose now however final pages. Bitterly right children suit increasing, leading el	27.02	23.23	5003002	exportischolar #2	3	pop	5	Music	52	ableanti	None	3663peru009490160959	spring	Tsp	Unknown	6	ought
1	2	AAAAAAAACAAAAAAA	1997-10-27	2000-10-26	False opportunities would run alone with a views. Early approaches would show inc, european intentions; important, main passages shall know urban,	1.12	0.38	1001001	amalgamalg #1	1	dresses	1	Women	294	esen stable	petite	516steel060826230906	rosy	Bunch	Unknown	98	able
2	3	AAAAAAAACAAAAAAA	2000-10-27	None	False opportunities would run alone with a views. Early approaches would show inc, european intentions; important, main passages shall know urban,	7.11	0.38	1001001	brandbrand #4	7	decor	7	Home	294	esen stable	None	516steel060826230906	sienna	Cup	Unknown	18	pri
3	4	AAAAAAAAEAAAAAAA	1997-10-27	1999-10-27	Normal systems would join simply different theories. Full, new clothes may eat instead achievements. D	1.35	0.85	3002001	importoexporti #1	2	infants	3	Children	479	n stationese	extra large	610157moccasin018327	red	Tbl	Unknown	26	ese
4	5	AAAAAAAAEAAAAAAA	1999-10-28	2001-10-26	Normal systems would join simply different theories. Full, new clothes may eat instead achievements. D	4.00	1.76	2002002	importoimporto #2	2	shirts	2	Men	220	barableable	petite	42214rosy28066558020	pink	Cup	Unknown	27	anti
5	6	AAAAAAAAEAAAAAAA	2001-10-27	None	Normal systems would join simply different theories. Full, new clothes may eat instead achievements. D	0.85	1.76	2002002	exportiimporto #1	3	pants	2	Men	212	barableable	large	42214rosy28066558020	moccasin	Bundle	Unknown	6	cally
6	7	AAAAAAAAHAAAAAAA	1997-10-27	None	Anxious accounts must catch also years. Revolutionary, large directors used to embrace then mo	9.94	6.75	3001002	amalgexporti #2	1	newborn	3	Children	214	eseoughtable	petite	6moccasin24027188872	spring	Tsp	Unknown	64	ation
7	8	AAAAAAAAIAAAAAAA	1997-10-27	2000-10-26	F	2.76	0.85	3003001	exportiexporti #1	3	toddlers	3	Children	630	barprically	extra large	35123wheat3256343398	turquoise	Carton	Unknown	25	eing
8	9	AAAAAAAAIAAAAAAA	2000-10-27	None	F	4.46	0.85	1004002	edu packamalg #2	3	swimwear	1	Women	630	barprically	medium	35123wheat3256343398	wheat	Tbl	Unknown	3	n st
9	10	AAAAAAAAKAAAAAAA	1997-10-27	1999-10-27	Classical services go trousers. However great galleries might say needs. Assumptions change very in favour of the notes. Teeth woul	8.94	4.11	10008011	namelessunivamalg #11	8	scanners	10	Electronics	350	barantipri	None	8159007505thistle447	pale	Tsp	Unknown	34	barought
10	11	AAAAAAAAKAAAAAAA	1999-10-28	2001-10-26	Correct, fo	54.87	4.11	10008011	edu packbrand #4	14	estate	6	Jewelry	625	antiablecally	None	snow1543775706017405	yellow	Bunch	Unknown	26	oughtought
11	12	AAAAAAAAKAAAAAAA	2001-10-27	None	Corporate, important facilities claim trying, external sides. Elements used to expect home pr	6.54	4.11	10008011	corpnameless #3	14	furniture	7	Home	264	esecallyable	None	968467777sky92069287	royal	Tbl	Unknown	19	ableought
12	13	AAAAAAAANAAAAAAA	1997-10-27	None	Hard, private departments spoil more quickly possible members; clear troops fail only needs.	8.76	7.62	6012006	importobrand #6	12	costume	6	Jewelry	167	ationcallyought	None	883208731996blue7862	olive	Bundle	Unknown	51	priought
13	14	AAAAAAAAOAAAAAAA	1997-10-27	2000-10-26	Teachers carry by the children; old democrats enco	1.85	0.59	8007005	brandnameless #5	7	hockey	8	Sports	460	barcallyese	None	1144670162goldenrod2	red	Dram	Unknown	6	eseought
14	15	AAAAAAAAOAAAAAAA	2000-10-27	None	Teachers carry by the children; old democrats enco	2.57	0.59	5002002	importoscholar #2	2	country	5	Music	86	barcallyese	None	1144670162goldenrod2	royal	Pound	Unknown	11	antiought
15	16	AAAAAAAAABAAAAAA	1997-10-27	1999-10-27	Dominant, christian pp. may not raise	0.31	0.14	1002001	importoamalg #1	2	fragrances	1	Women	117	ationoughtought	large	36933056603steel7373	bisque	Lb	Unknown	23	callyought
16	17	AAAAAAAAABAAAAAA	1999-10-28	2001-10-26	Dominant, christian pp. may not raise	6.49	0.14	1002001	amalgimporto #2	1	accessories	2	Men	117	ationoughtought	extra large	452645olive281530722	snow	Dram	Unknown	41	ationought
17	18	AAAAAAAAABAAAAAA	2001-10-27	None	Twin, particular aspects will accept only on	0.87	0.48	1002001	importoamalg #1	2	fragrances	1	Women	117	ationoughtought	medium	452645olive281530722	rosy	Carton	Unknown	63	eingought
18	19	AAAAAAAADBAAAAAA	1997-10-27	None	Political parents know right; perfec	10.61	4.77	2004002	edu packimporto #2	4	sports-apparel	2	Men	364	esecallypri	large	85seashell1303417084	smoke	Ton	Unknown	13	n stought
19	20	AAAAAAAAEBAAAAAA	1997-10-27	2000-10-26	Legal, foreign days know losses; briefly equivalent arguments will expect today. New, front grounds look hot, other aspects. Actually national husbands show usually of course other stations; huge, k	29.35	18.78	1003001	exportiamalg #1	3	maternity	1	Women	995	antin stn st	extra large	97245417ivory0043452	tan	Gram	Unknown	21	barable
20	21	AAAAAAAAEBAAAAAA	2000-10-27	None	Legal, foreign days know losses; briefly equivalent arguments will expect today. New, front grounds look hot, other aspects. Actually national husbands show usually of course other stations; huge, k	10.71	8.46	6016006	corpbrand #6	3	consignment	6	Jewelry	995	antin stn st	None	1050463678plum205437	sienna	Pallet	Unknown	4	oughtable
21	22	AAAAAAAAGBAAAAAA	1997-10-27	1999-10-27	Members endure already near additional details. Ministers should ignore whole times. Bright, brief beliefs become highly bright men; o	7.11	3.27	10005006	scholarunivamalg #6	5	karoke	10	Electronics	169	n stcallyought	None	4900684033pink844758	sandy	Each	Unknown	40	ableable
22	23	AAAAAAAAGBAAAAAA	1999-10-28	2001-10-26	Below long minutes make primarily by a months. Secure effects get much upo	3.73	1.41	10005006	scholarunivamalg #7	5	karoke	10	Electronics	260	n stcallyought	None	569seashell149755477	papaya	Bunch	Unknown	44	priable
23	24	AAAAAAAAGBAAAAAA	2001-10-27	None	Below long minutes make primarily by a months. Secure effects get much upo	2.61	0.86	10005006	amalgamalg #1	1	dresses	1	Women	260	barcallyable	medium	569seashell149755477	lime	Ton	Unknown	10	eseable
24	25	AAAAAAAAJBAAAAAA	1997-10-27	None	Major brothers must not mean true annual, aware workers. Regulations will let more mechanisms. English pictures take tha	75.28	50.43	1004002	edu packamalg #2	4	swimwear	1	Women	338	eingpripri	large	90papaya546284022999	purple	Bundle	Unknown	18	antiable
25	26	AAAAAAAAKBAAAAAA	1997-10-27	2000-10-26	Hands cannot show just administrative studies. Powerful orders come fiscal thanks. Major, certain nurses work still relative pa	2.77	1.91	2004001	edu packimporto #1	4	sports-apparel	2	Men	26	callyable	petite	thistle3370503164308	spring	Box	Unknown	31	callyable
26	27	AAAAAAAAKBAAAAAA	2000-10-27	None	New, only police shall start generally left, important holidays. Inte	8.57	1.91	2004001	importocorp #4	4	diamonds	6	Jewelry	734	esepriation	None	thistle3370503164308	orchid	Pound	Unknown	31	ationable
27	28	AAAAAAAAMBAAAAAA	1997-10-27	1999-10-27	External, actual teache	0.15	0.07	3003001	exportiexporti #1	3	toddlers	3	Children	886	callyeingeing	medium	56715743614hot522158	turquoise	Dram	Unknown	32	eingable
28	29	AAAAAAAAMBAAAAAA	1999-10-28	2001-10-26	Rational, electronic photographs worry. Other, similar pounds might enable suddenly middle, growing months. Military, desperate funds shall not know then also various germans. Heavy	1.04	0.07	3003001	edu packamalg #2	3	swimwear	1	Women	209	callyeingeing	large	56715743614hot522158	yellow	Carton	Unknown	35	n stable
29	30	AAAAAAAAMBAAAAAA	2001-10-27	None	Systems loosen special, easy partners. Prime, noble windows condemn effective, nation	86.00	62.78	6008007	namelesscorp #7	8	mens watch	6	Jewelry	732	callyeingeing	None	spring82346236549375	gainsboro	Bundle	Unknown	32	barpri
30	31	AAAAAAAAPBAAAAAA	1997-10-27	None	So new campaigns teach more straight early indians. International offices shake actual ministers. New, liable theories can see expenses. Nice, imperial teams wo	8.48	3.30	8015002	scholarmaxi #2	15	fishing	8	Sports	167	ationcallyought	None	7wheat78839382233684	lawn	Each	Unknown	98	oughtpri
31	32	AAAAAAAAACAAAAAA	1997-10-27	2000-10-26	Different numbers might not visit; rights used to remember. Labour students must put as slowly possible children. Never	1.77	1.00	7004003	edu packbrand #3	4	curtains/drapes	7	Home	431	oughtpriese	None	royal348530153475607	turquoise	Dram	Unknown	7	ablepri
32	33	AAAAAAAAACAAAAAA	2000-10-27	None	Sure available terms know just nice, human officials. Problems used to receive. United, cheap changes get better british houses. Full bars shift often important readers; inc	7.86	1.00	3003002	exportiexporti #2	4	toddlers	3	Children	154	eseantiought	medium	36972puff56515747175	plum	Carton	Unknown	51	pripri
33	34	AAAAAAAACCAAAAAA	1997-10-27	1999-10-27	Victorian miles would reform as well relationships. However tired institutions will send. Dramatically likely rats catch in a teams. Years may spend nearly mass, high	2.07	1.49	10007001	brandunivamalg #1	7	personal	10	Electronics	553	priantianti	None	29171thistle61991621	honeydew	Pallet	Unknown	58	esepri
34	35	AAAAAAAACCAAAAAA	1999-10-28	2001-10-26	Victorian miles would reform as well relationships. However tired institutions will send. Dramatically likely rats catch in a teams. Years may spend nearly mass, high	2.32	1.11	10007001	amalgmaxi #12	1	arts	9	Books	553	priantianti	None	khaki119648424197997	green	Tsp	Unknown	5	antipri
35	36	AAAAAAAACCAAAAAA	2001-10-27	None	Victorian miles would reform as well relationships. However tired institutions will send. Dramatically likely rats catch in a teams. Years may spend nearly mass, high	91.42	34.73	1001001	amalgamalg #1	1	dresses	1	Women	553	priantianti	medium	khaki119648424197997	thistle	Case	Unknown	37	callypri
36	37	AAAAAAAAFCAAAAAA	1997-10-27	None	Clearly due proceedings should compensate particular, main agreements. Heels may not deny later easily different spaces; vast, additional items might export fresh, only sentences. Patients expand	2.42	0.87	2001002	amalgimporto #2	1	accessories	2	Men	489	n steingese	petite	8violet4563425031455	rose	Bundle	Unknown	28	ationpri
37	38	AAAAAAAAGCAAAAAA	1997-10-27	2000-10-26	Cheap problems can draw please over good stars. Either long children would pass similar, different metres; base, large surroundings	16.70	8.01	2004001	edu packimporto #1	4	sports-apparel	2	Men	933	priprin st	medium	5red3080638918015686	violet	Bunch	Unknown	36	eingpri
38	39	AAAAAAAAGCAAAAAA	2000-10-27	None	Cheap problems can draw please over good stars. Either long children would pass similar, different metres; base, large surroundings	5.07	8.01	2004001	importomaxi #4	2	business	9	Books	368	eingcallypri	None	5red3080638918015686	sandy	Unknown	Unknown	34	n stpri
39	40	AAAAAAAAICAAAAAA	1997-10-27	1999-10-27	Deep good activities should resist to a substances; that is beautiful businessmen like problems. Late huge meet	9.93	8.63	7008001	namelessbrand #1	8	lighting	7	Home	147	ationeseought	None	olive423496330709355	sandy	Pallet	Unknown	64	barese
40	41	AAAAAAAAICAAAAAA	1999-10-28	2001-10-26	Deep good activities should resist to a substances; that is beautiful businessmen like problems. Late huge meet	4.40	8.63	7008001	exportiexporti #2	8	toddlers	3	Children	310	ationeseought	small	09031176427khaki3414	red	Bunch	Unknown	85	oughtese
41	42	AAAAAAAAICAAAAAA	2001-10-27	None	Once straight tools migh	9.15	8.63	5003001	exportischolar #1	3	pop	5	Music	540	bareseanti	None	09031176427khaki3414	powder	Cup	Unknown	64	ableese
42	43	AAAAAAAALCAAAAAA	1997-10-27	None	Thus present women should hear for a shares; leaders must come early; immediate men will want exactly young groups. Insects may ask narrow variations. New leaders should deal	6.08	4.86	9010008	univunivamalg #8	10	travel	9	Books	301	oughtbarpri	None	19orchid108200357725	firebrick	Pallet	Unknown	19	priese
43	44	AAAAAAAAMCAAAAAA	1997-10-27	2000-10-26	Wide clear weeks join surely medical others; again dull effects stretch. Only, great needs may brin	5.20	1.71	5001001	amalgscholar #1	1	rock	5	Music	124	eseableought	None	salmon36671081354930	chocolate	Case	Unknown	59	eseese
44	45	AAAAAAAAMCAAAAAA	2000-10-27	None	Serious, little suppliers object hot, new weeks. Votes shall prevail yet. Windows understand equal members. Average consequences go at least pales	0.37	1.71	5001001	namelesscorp #6	1	mens watch	6	Jewelry	459	eseableought	None	salmon36671081354930	khaki	None	Unknown	15	antiese
45	46	AAAAAAAAOCAAAAAA	1997-10-27	1999-10-27	Emotional, nuclear farmers can understand also in t	98.66	85.83	6012007	importobrand #7	12	costume	6	Jewelry	252	ableantiable	None	115838salmon36529828	saddle	Tsp	Unknown	19	callyese
46	47	AAAAAAAAOCAAAAAA	1999-10-28	2001-10-26	Emotional, nuclear farmers can understand also in t	3.00	1.74	6012007	amalgedu pack #2	1	womens	4	Shoes	99	ableantiable	economy	115838salmon36529828	peru	Dram	Unknown	5	ationese
47	48	AAAAAAAAOCAAAAAA	2001-10-27	None	Emotional, nuclear farmers can understand also in t	1.45	1.74	5001001	amalgscholar #1	1	rock	5	Music	41	ableantiable	None	03879white9235299949	thistle	Dram	Unknown	21	eingese
48	49	AAAAAAAABDAAAAAA	1997-10-27	None	Regional, indian casualties shall say of course legal relations. Endless, cultural animals dislike new, possible resources. Socialist, very plans wonder precisely available star	8.01	2.48	3004002	edu packexporti #2	4	school-uniforms	3	Children	443	prieseese	large	027315130steel656106	powder	Unknown	Unknown	56	n stese
49	50	AAAAAAAACDAAAAAA	1997-10-27	2000-10-26	Activities cover	4.99	3.54	4004001	edu packedu pack #1	4	athletic	4	Shoes	140	bareseought	small	1446003050medium4139	papaya	Cup	Unknown	72	baranti
50	51	AAAAAAAACDAAAAAA	2000-10-27	None	International, likely trees put carefully variations. Eventually silent observations might think better changes. Western, aggressive gardens protect furthermore stars. Yesterday adequate action	3.99	1.99	3003002	exportiexporti #2	3	toddlers	3	Children	140	bareseought	extra large	1446003050medium4139	sky	Gram	Unknown	33	oughtanti
51	52	AAAAAAAAEDAAAAAA	1997-10-27	1999-10-27	Very private features may not like newspapers. Intently right groups try very enquiries; too good minutes want less limited employers. Books ought to provide accounta	2.99	2.15	3002001	importoexporti #1	2	infants	3	Children	865	anticallyeing	medium	moccasin133060463675	rose	Pound	Unknown	33	ableanti
52	53	AAAAAAAAEDAAAAAA	1999-10-28	2001-10-26	Very private features may not like newspapers. Intently right groups try very enquiries; too good minutes want less limited employers. Books ought to provide accounta	8.26	2.47	3002001	univamalgamalg #3	10	memory	10	Electronics	865	anticallyeing	None	moccasin133060463675	peru	Case	Unknown	14	prianti
53	54	AAAAAAAAEDAAAAAA	2001-10-27	None	Very private features may not like newspapers. Intently right groups try very enquiries; too good minutes want less limited employers. Books ought to provide accounta	37.84	20.05	1001001	amalgamalg #1	1	dresses	1	Women	865	anticallyeing	medium	turquoise29355882814	khaki	Ounce	Unknown	40	eseanti
54	55	AAAAAAAAHDAAAAAA	1997-10-27	None	Applicable versions feel so silly peasants. Lessons make relatively for example medical leaves. Details might want criminal, id	0.99	0.79	1004002	edu packamalg #2	4	swimwear	1	Women	47	ationese	medium	7975726dodger7126990	ghost	Cup	Unknown	18	antianti
55	56	AAAAAAAAIDAAAAAA	1997-10-27	2000-10-26	Events might shape successfully; recent flowers should trace alike hard questions. Small areas could not give easy, enthusiastic ends. Obvious	7.44	3.94	10011006	amalgamalgamalg #6	11	disk drives	10	Electronics	412	ableoughtese	None	45885navy00969807009	hot	Tsp	Unknown	5	callyanti
56	57	AAAAAAAAIDAAAAAA	2000-10-27	None	Events might shape successfully; recent flowers should trace alike hard questions. Small areas could not give easy, enthusiastic ends. Obvious	4.58	3.94	10011006	edu packexporti #2	11	school-uniforms	3	Children	591	ableoughtese	medium	611purple39006426349	red	Dozen	Unknown	24	ationanti
57	58	AAAAAAAAKDAAAAAA	1997-10-27	1999-10-27	Cuts may hold already; daughters can like exclusively pregnant, fresh police; actual,	0.87	0.71	4003001	exportiedu pack #1	3	kids	4	Shoes	187	ationeingought	small	602196716medium47751	blush	Pound	Unknown	4	einganti
58	59	AAAAAAAAKDAAAAAA	1999-10-28	2001-10-26	Cuts may hold already; daughters can like exclusively pregnant, fresh police; actual,	38.82	15.13	3004002	edu packexporti #2	3	school-uniforms	3	Children	413	prioughtese	medium	602196716medium47751	sandy	Tsp	Unknown	57	n stanti
59	60	AAAAAAAAKDAAAAAA	2001-10-27	None	Cuts may hold already; daughters can like exclusively pregnant, fresh police; actual,	4.87	15.13	3004002	maxicorp #5	9	womens watch	6	Jewelry	849	n steseeing	None	602196716medium47751	indian	Unknown	Unknown	19	barcally
60	61	AAAAAAAANDAAAAAA	1997-10-27	None	Pictures see even healthy designs. Considerable, visual concessions last controversia	0.50	0.22	10006011	corpunivamalg #11	6	musical	10	Electronics	785	antieingation	None	83227powder377577506	gainsboro	Case	Unknown	22	oughtcally
61	62	AAAAAAAAODAAAAAA	1997-10-27	2000-10-26	Either british authorities would receive slightly. Yesterday unique clothes work seldom old sales. Famous, possible programmes take reall	3.49	1.18	6004007	edu packcorp #7	4	bracelets	6	Jewelry	633	priprically	None	206thistle2954355697	violet	Bunch	Unknown	84	ablecally
62	63	AAAAAAAAODAAAAAA	2000-10-27	None	Short, bitter heads like then events. Assessments may hide just. Wild european books should maintain yesterday useful natural workers. Late responsible estimates would	4.34	1.18	6004007	importoimporto #2	2	shirts	2	Men	633	priprically	medium	206thistle2954355697	red	Ton	Unknown	41	prically
63	64	AAAAAAAAAEAAAAAA	1997-10-27	1999-10-27	Both new conditions ask acute, ashamed pupils. Short, poor fami	2.02	1.69	8009005	maxinameless #5	9	optics	8	Sports	322	ableablepri	None	2tan8009172776437677	maroon	Tbl	Unknown	14	esecally
64	65	AAAAAAAAAEAAAAAA	1999-10-28	2001-10-26	Both new conditions ask acute, ashamed pupils. Short, poor fami	73.24	54.19	10008015	namelessunivamalg #15	8	scanners	10	Electronics	363	ableablepri	None	567702bisque83928674	blue	Bundle	Unknown	27	antically
65	66	AAAAAAAAAEAAAAAA	2001-10-27	None	Conservatives exert ahead for a	6.67	54.19	10008015	maximaxi #7	8	science	9	Books	121	oughtableought	None	438189282firebrick54	purple	Bundle	Unknown	51	callycally
66	67	AAAAAAAADEAAAAAA	1997-10-27	None	So fair schools must go problems. Children should not paint in a photographs. Great, late senten	1.47	0.83	9015008	scholarunivamalg #8	15	fiction	9	Books	285	antieingable	None	583spring53597495026	black	Ounce	Unknown	57	ationcally
67	68	AAAAAAAAEEAAAAAA	1997-10-27	2000-10-26	Principles secure best. Relevant foods mislead there so prime relations. Quickly convenient times may think men. Interesting, other bodies w	6.93	3.11	2004001	edu packimporto #1	4	sports-apparel	2	Men	76	callyation	petite	16294729rose54248882	navy	Carton	Unknown	35	eingcally
68	69	AAAAAAAAEEAAAAAA	2000-10-27	None	Modern, golden faces illustrate previously grounds. Acceptable, gold sides cannot mind modern plans; large thanks find highly only meals. Enormous, popular teachers	5.67	3.11	2004001	importoamalg #2	2	fragrances	1	Women	76	callyation	large	972807876turquoise30	pale	Gross	Unknown	28	n stcally
69	70	AAAAAAAAGEAAAAAA	1997-10-27	1999-10-27	Factors sha	9.79	4.40	5004001	edu packscholar #1	4	classical	5	Music	445	antieseese	None	purple89249207875245	rose	Dram	Unknown	52	baration
70	71	AAAAAAAAGEAAAAAA	1999-10-28	2001-10-26	General stars believe for example at a	3.21	2.53	9014012	edu packunivamalg #12	14	sports	9	Books	445	antieseese	None	purple89249207875245	lavender	Ounce	Unknown	26	oughtation
71	72	AAAAAAAAGEAAAAAA	2001-10-27	None	Particu	5.31	2.53	1002001	importoamalg #1	2	fragrances	1	Women	445	antieseese	medium	5peru941765840464570	blush	Ton	Unknown	27	ableation
72	73	AAAAAAAAJEAAAAAA	1997-10-27	None	Social, simple se	41.16	27.57	1003002	exportiamalg #2	3	maternity	1	Women	653	priantically	petite	03293333saddle019730	misty	Tbl	Unknown	3	priation
73	74	AAAAAAAAKEAAAAAA	1997-10-27	2000-10-26	Clergy ought	3.91	1.44	2004001	edu packimporto #1	4	sports-apparel	2	Men	954	eseantin st	small	8341981838751coral30	papaya	Carton	Unknown	17	eseation
74	75	AAAAAAAAKEAAAAAA	2000-10-27	None	Here distant classes would not prove therefore objectives. Public books improve of course politi	3.26	1.30	2004001	exportiamalgamalg #8	4	stereo	10	Electronics	954	eseantin st	None	965042tomato56650663	wheat	Tbl	Unknown	12	antiation
75	76	AAAAAAAAMEAAAAAA	1997-10-27	1999-10-27	Around single relations clear heavily over a controls. Arms could leave signs. T	3.84	2.76	9010005	univunivamalg #5	10	travel	9	Books	46	callyese	None	140503351631sienna87	puff	Oz	Unknown	32	callyation
76	77	AAAAAAAAMEAAAAAA	1999-10-28	2001-10-26	Around single relations clear heavily over a controls. Arms could leave signs. T	0.90	2.76	3003002	exportiexporti #2	3	toddlers	3	Children	46	callyese	small	140503351631sienna87	purple	Ounce	Unknown	88	ationation
77	78	AAAAAAAAMEAAAAAA	2001-10-27	None	Around single relations clear heavily over a controls. Arms could leave signs. T	0.23	0.14	3003002	corpcorp #7	6	rings	6	Jewelry	515	callyese	None	85716779158spring390	royal	Lb	Unknown	70	eingation
78	79	AAAAAAAAPEAAAAAA	1997-10-27	None	Video-taped, ch	2.87	1.37	10009012	maxiunivamalg #12	9	televisions	10	Electronics	385	antieingpri	None	sandy027498424299031	papaya	Oz	Unknown	2	n station
79	80	AAAAAAAAAFAAAAAA	1997-10-27	2000-10-26	Particular, armed costs ought to spin certainly. Events get in the costs. Late, parliamentary foods shall not arrest there able men. Other, difficult officers hold high interests. Model shares dre	2.16	1.59	4003001	exportiedu pack #1	3	kids	4	Shoes	376	callyationpri	None	26985wheat7381826860	yellow	Bundle	Unknown	38	bareing
80	81	AAAAAAAAAFAAAAAA	2000-10-27	None	Particular, armed costs ought to spin certainly. Events get in the costs. Late, parliamentary foods shall not arrest there able men. Other, difficult officers hold high interests. Model shares dre	3.65	3.13	4002002	importoedu pack #2	3	mens	4	Shoes	37	callyationpri	large	26985wheat7381826860	cyan	Box	Unknown	68	oughteing
81	82	AAAAAAAACFAAAAAA	1997-10-27	1999-10-27	Seats could come confident, moder	1.43	1.17	4004001	edu packedu pack #1	4	athletic	4	Shoes	306	callybarpri	small	0340aquamarine369806	violet	Dram	Unknown	53	ableeing
82	83	AAAAAAAACFAAAAAA	1999-10-28	2001-10-26	Children could not influence most flat, careful figures. Local, true stars could commend. As scottish blocks want still old benefits. Skills should not try precisely. Y	4.25	1.17	4004001	brandcorp #4	4	pendants	6	Jewelry	622	ableablecally	None	146048520linen957568	misty	Each	Unknown	5	prieing
83	84	AAAAAAAACFAAAAAA	2001-10-27	None	Cultural, cultural contracts assume colours. Close legitimate flowers watch enough british reasons. Probably old years must set recently intensive words. Elderly factors go otherwise useless months.	1.41	1.26	2004001	edu packimporto #1	4	sports-apparel	2	Men	662	ablecallycally	large	8587plum853813979789	grey	Gross	Unknown	3	eseeing
84	85	AAAAAAAAFFAAAAAA	1997-10-27	None	Again common customers should make hardly proposals. Close groups can prevent after a cars. Physical, human banks will not roll simply for instance agricultural hours. Northern centre	39.31	34.98	2003002	exportiimporto #2	3	pants	2	Men	156	callyantiought	small	859187711467pale4603	sky	Oz	Unknown	66	antieing
85	86	AAAAAAAAGFAAAAAA	1997-10-27	2000-10-26	Parents like only new demands. Current players let charges. Specific, young towns realise however countr	0.87	0.74	6002007	importocorp #7	2	diamonds	6	Jewelry	985	antieingn st	None	642534525118salmon94	powder	Pallet	Unknown	2	callyeing
86	87	AAAAAAAAGFAAAAAA	2000-10-27	None	Lives must rule better now sem	4.51	1.53	3001002	amalgexporti #2	2	newborn	3	Children	985	antieingn st	petite	66917821011ghost0861	sky	Bunch	Unknown	57	ationeing
87	88	AAAAAAAAIFAAAAAA	1997-10-27	1999-10-27	Fears obtain still blind, active others. Forever numerous signs last even here civil strate	7.29	3.71	3001001	amalgexporti #1	1	newborn	3	Children	87	ationeing	large	97346sandy2527135842	snow	Gross	Unknown	24	eingeing
88	89	AAAAAAAAIFAAAAAA	1999-10-28	2001-10-26	Sensitive requirements will not supply all intelligent effects. U	4.79	3.44	3001001	amalgimporto #2	1	accessories	2	Men	967	ationcallyn st	large	97346sandy2527135842	coral	Bundle	Unknown	5	n steing
89	90	AAAAAAAAIFAAAAAA	2001-10-27	None	Both french meanings cannot tackle then	1.18	0.44	3001001	amalgscholar #1	1	rock	5	Music	907	ationbarn st	None	97346sandy2527135842	blue	Tsp	Unknown	35	barn st
90	91	AAAAAAAALFAAAAAA	1997-10-27	None	True potatoes sound equal heads	0.64	0.28	10006007	corpunivamalg #7	6	musical	10	Electronics	176	callyationought	None	2925royal36510681005	lace	Lb	Unknown	74	oughtn st
91	92	AAAAAAAAMFAAAAAA	1997-10-27	2000-10-26	Employers w	4.48	2.64	8009003	maxinameless #3	9	optics	8	Sports	547	ationeseanti	None	1906778941seashell97	indian	None	Unknown	12	ablen st
92	93	AAAAAAAAMFAAAAAA	2000-10-27	None	Employers w	1.06	0.61	8015004	scholarmaxi #4	15	fishing	8	Sports	290	barn stable	None	082sienna17917347780	cyan	Lb	Unknown	90	prin st
93	94	AAAAAAAAOFAAAAAA	1997-10-27	1999-10-27	Institutions ought to provide good agents; large, comfortable	0.11	0.06	2002001	importoimporto #1	2	shirts	2	Men	254	eseantiable	economy	46040088turquoise736	orange	Box	Unknown	33	esen st
94	95	AAAAAAAAOFAAAAAA	1999-10-28	2001-10-26	Institutions ought to provide good agents; large, comfortable	2.55	1.30	5003002	exportischolar #2	3	pop	5	Music	276	eseantiable	None	414160524grey3616827	pale	Tbl	Unknown	95	antin st
95	96	AAAAAAAAOFAAAAAA	2001-10-27	None	Periods provide as distinctive, little ingredients; therefore social boys must not leave slightl	4.19	1.30	6001001	amalgcorp #1	3	birdal	6	Jewelry	54	eseanti	None	20988791004papaya520	cream	Pound	Unknown	17	callyn st
96	97	AAAAAAAABGAAAAAA	1997-10-27	None	Quite different services promote all the same. Private, marginal colleagues play of course similar, different girls. French, local girls reap here. Bad movies shorten relatively. Terms	57.09	32.54	9015002	scholarunivamalg #2	15	fiction	9	Books	275	antiationable	None	96goldenrod451188509	rose	Gross	Unknown	5	ationn st
97	98	AAAAAAAACGAAAAAA	1997-10-27	2000-10-26	Opportunities clear there. Basic rules ask british locations. More financial visits construct other funds. Unk	3.16	2.18	8008009	namelessnameless #9	8	outdoor	8	Sports	302	ablebarpri	None	01882924064yellow241	medium	Ton	Unknown	24	eingn st
98	99	AAAAAAAACGAAAAAA	2000-10-27	None	Opportunities clear there. Basic rules ask british locations. More financial visits construct other funds. Unk	4.81	2.18	8008009	scholarunivamalg #15	5	karoke	10	Electronics	302	ablebarpri	None	215235wheat677989979	salmon	Pound	Unknown	19	n stn st

promotion (first 100 rows)

	P_PROMO_SK	P_PROMO_ID	P_START_DATE_SK	P_END_DATE_SK	P_ITEM_SK	P_COST	P_RESPONSE_TARGE	P_PROMO_NAME	P_CHANNEL_DMAIL	P_CHANNEL_EMAIL	P_CHANNEL_CATALOG	P_CHANNEL_TV	P_CHANNEL_RADIO	P_CHANNEL_PRESS	P_CHANNEL_EVENT	P_CHANNEL_DEMO	P_CHANNEL_DETAILS	P_PURPOSE	P_DISCOUNT_ACTIVE
0	1	AAAAAAAABAAAAAAA	2450164	2450185	686	1000.0	1	ought	Y	N	N	N	N	N	N	N	Men will not say merely. Old, available	Unknown	N
1	2	AAAAAAAACAAAAAAA	2450118	2450150	1264	1000.0	1	able	Y	N	N	N	N	N	N	N	So willing buildings coul	Unknown	N
2	3	AAAAAAAADAAAAAAA	2450675	2450712	1468	1000.0	1	pri	Y	N	N	N	N	N	N	N	Companies shall not pr	Unknown	N

reason (first 100 rows)

	R_REASON_SK	R_REASON_ID	R_REASON_DESC
0	1	AAAAAAAABAAAAAAA	Package was damaged

ship_mode (first 100 rows)

	SM_SHIP_MODE_SK	SM_SHIP_MODE_ID	SM_TYPE	SM_CODE	SM_CARRIER	SM_CONTRACT
0	1	AAAAAAAABAAAAAAA	EXPRESS	AIR	UPS	YvxVaJI10
1	2	AAAAAAAACAAAAAAA	NEXT DAY	AIR	FEDEX	ldhM8IvpzHgdbBgDfI
2	3	AAAAAAAADAAAAAAA	OVERNIGHT	AIR	AIRBORNE	6Hzzp4JkzjqD8MGXLCDa
3	4	AAAAAAAAEAAAAAAA	TWO DAY	AIR	USPS	UaAJjKDnL4gTOqbpj
4	5	AAAAAAAAFAAAAAAA	LIBRARY	AIR	DHL	HVDFCcQ
5	6	AAAAAAAAGAAAAAAA	REGULAR	SURFACE	TBS	Ek
6	7	AAAAAAAAHAAAAAAA	EXPRESS	SURFACE	ZHOU	hGoF18SLDDPBj
7	8	AAAAAAAAIAAAAAAA	NEXT DAY	SURFACE	ZOUROS	yVfotg7Tio3MVhBg6Bkn
8	9	AAAAAAAAJAAAAAAA	OVERNIGHT	SURFACE	MSC	Xjy3ZPuiDjzHlRx14Z3
9	10	AAAAAAAAKAAAAAAA	TWO DAY	SURFACE	LATVIAN	P7FBIt8yd
10	11	AAAAAAAALAAAAAAA	LIBRARY	SURFACE	ALLIANCE	OrDuVy2H
11	12	AAAAAAAAMAAAAAAA	REGULAR	SEA	ORIENTAL	GNJr3g5i7oorKqtX
12	13	AAAAAAAANAAAAAAA	EXPRESS	SEA	BARIAN	qENFQ
13	14	AAAAAAAAOAAAAAAA	NEXT DAY	SEA	BOXBUNDLES	A5BYO1qH8HGTTN
14	15	AAAAAAAAPAAAAAAA	OVERNIGHT	SEA	GREAT EASTERN	uukTktPYycct8
15	16	AAAAAAAAABAAAAAA	TWO DAY	SEA	DIAMOND	2mM8l
16	17	AAAAAAAABBAAAAAA	LIBRARY	SEA	RUPEKSA	5FKNB0j8aaqTB
17	18	AAAAAAAACBAAAAAA	REGULAR	BIKE	GERMA	I3uCelXtjP
18	19	AAAAAAAADBAAAAAA	EXPRESS	BIKE	HARMSTORF	fop0bcSd91J26IVpR
19	20	AAAAAAAAEBAAAAAA	NEXT DAY	BIKE	PRIVATECARRIER	O9V6oF8RJnLMmZYd1

store (first 100 rows)

	S_STORE_SK	S_STORE_ID	S_REC_START_DATE	S_REC_END_DATE	S_CLOSED_DATE_SK	S_STORE_NAME	S_NUMBER_EMPLOYEES	S_FLOOR_SPACE	S_HOURS	S_MANAGER	S_MARKET_ID	S_GEOGRAPHY_CLASS	S_MARKET_DESC	S_MARKET_MANAGER	S_DIVISION_ID	S_DIVISION_NAME	S_COMPANY_ID	S_COMPANY_NAME	S_STREET_NUMBER	S_STREET_NAME	S_STREET_TYPE	S_SUITE_NUMBER	S_CITY	S_COUNTY	S_STATE	S_ZIP	S_COUNTRY	S_GMT_OFFSET	S_TAX_PRECENTAGE
0	1	AAAAAAAABAAAAAAA	1997-03-13	None	2451189.0	ought	245	5250760	8AM-4PM	William Ward	2	Unknown	Enough high areas stop expectations. Elaborate, local is	Charles Bartley	1	Unknown	1	Unknown	767	Spring	Wy	Suite 250	Midway	Williamson County	TN	31904	United States	-5	0.03
1	2	AAAAAAAACAAAAAAA	1997-03-13	2000-03-12	NaN	able	236	5285950	8AM-4PM	Scott Smith	8	Unknown	Parliamentary candidates wait then heavy, keen mil	David Lamontagne	1	Unknown	1	Unknown	255	Sycamore	Dr.	Suite 410	Midway	Williamson County	TN	31904	United States	-5	0.03

store_returns (first 100 rows)

	SS_SOLD_DATE_SK	SS_SOLD_TIME_SK	SS_ITEM_SK	SS_CUSTOMER_SK	SS_CDEMO_SK	SS_HDEMO_SK	SS_ADDR_SK	SS_STORE_SK	SS_PROMO_SK	SS_TICKET_NUMBER	SS_QUANTITY	SS_WHOLESALE_COST	SS_LIST_PRICE	SS_SALES_PRICE	SS_EXT_DISCOUNT_AMT	SS_EXT_SALES_PRICE	SS_EXT_WHOLESALE_COST	SS_EXT_LIST_PRICE	SS_EXT_TAX	SS_COUPON_AMT	SS_NET_PAID	SS_NET_PAID_INC_TAX	SS_NET_PROFIT
0	2451984.0	46418.0	404	6.0	793022.0	4033.0	397.0	2.0	1.0	1	51.0	37.23	3.35	40.58	55.28	714.00	0.74	17.51	18.98	772.63	NaN	NaN	NaN
1	2451822.0	47480.0	1813	6.0	1082163.0	7157.0	751.0	1.0	1.0	1	43.0	4009.32	120.27	4129.59	28.23	0.00	3448.01	5.61	555.70	148.50	NaN	NaN	NaN
2	2451653.0	37700.0	1030	284.0	289468.0	3067.0	819.0	2.0	1.0	2	7.0	249.48	2.49	251.97	11.50	6.23	234.51	8.83	6.14	20.22	NaN	NaN	NaN
3	2452682.0	38957.0	1719	47.0	793786.0	6401.0	663.0	2.0	1.0	3	3.0	227.37	6.82	234.19	9.23	33.42	125.05	51.16	51.16	49.47	NaN	NaN	NaN
4	2452682.0	41617.0	1063	47.0	193750.0	2351.0	152.0	1.0	1.0	3	23.0	1273.05	25.46	1298.51	46.15	406.18	954.78	57.28	260.99	477.79	NaN	NaN	NaN
5	2452688.0	60645.0	1545	47.0	1047081.0	2455.0	76.0	2.0	1.0	3	1.0	35.14	2.45	37.59	79.00	0.00	9.13	5.20	20.81	81.45	NaN	NaN	NaN
6	2451598.0	40772.0	397	814.0	722383.0	1497.0	164.0	2.0	1.0	4	18.0	63.54	1.27	64.81	1.26	10.80	33.67	2.68	27.19	13.33	NaN	NaN	NaN
7	2451521.0	33881.0	908	814.0	925501.0	3196.0	491.0	2.0	1.0	4	12.0	18.60	1.48	20.08	46.48	270.60	10.04	8.04	0.52	318.56	NaN	NaN	NaN
8	2451628.0	34073.0	1790	246.0	1150235.0	3185.0	935.0	1.0	1.0	5	58.0	347.42	6.94	354.36	97.98	331.18	107.70	14.38	225.34	436.10	NaN	NaN	NaN
9	2452165.0	54713.0	151	29.0	492488.0	6806.0	724.0	2.0	1.0	6	1.0	61.81	3.70	65.51	68.44	44.79	54.39	0.14	7.28	116.93	NaN	NaN	NaN
10	2452319.0	50204.0	543	954.0	1182421.0	560.0	299.0	1.0	1.0	7	72.0	809.28	24.27	833.55	88.17	51.12	194.22	442.84	172.22	163.56	NaN	NaN	NaN
11	2452065.0	40372.0	163	451.0	178772.0	175.0	625.0	2.0	1.0	10	48.0	3960.48	0.00	3960.48	39.22	65.76	1980.24	1960.43	19.81	104.98	NaN	NaN	NaN
12	2452575.0	42311.0	1639	900.0	727030.0	4636.0	89.0	1.0	1.0	11	36.0	1639.44	81.97	1721.41	96.21	712.80	147.54	1163.68	328.22	890.98	NaN	NaN	NaN
13	2451378.0	48500.0	1196	820.0	201438.0	6076.0	714.0	2.0	1.0	12	27.0	417.42	4.17	421.59	62.17	2400.30	375.67	37.57	4.18	2466.64	NaN	NaN	NaN
14	2451329.0	44694.0	1495	820.0	1351118.0	2652.0	633.0	2.0	1.0	12	46.0	1208.42	48.33	1256.75	69.04	887.80	96.67	355.76	755.99	1005.17	NaN	NaN	NaN
15	2451014.0	29493.0	130	588.0	130689.0	2790.0	138.0	1.0	1.0	13	58.0	40.60	3.24	43.84	1.13	312.62	27.20	0.26	13.14	316.99	NaN	NaN	NaN
16	2450926.0	48082.0	1591	144.0	541501.0	527.0	400.0	1.0	1.0	13	1.0	83.51	7.51	91.02	81.26	20.31	73.48	8.42	1.61	109.08	NaN	NaN	NaN
17	2450924.0	48257.0	2000	144.0	277151.0	1877.0	50.0	1.0	1.0	13	6.0	350.40	14.01	364.41	20.61	247.98	255.79	62.44	32.17	282.60	NaN	NaN	NaN
18	NaN	NaN	935	409.0	829696.0	NaN	NaN	NaN	1.0	14	NaN	708.18	49.57	757.75	NaN	NaN	559.46	NaN	NaN	NaN	NaN	NaN	NaN
19	2451933.0	41472.0	1100	835.0	747820.0	2733.0	446.0	1.0	1.0	15	1.0	9.43	0.75	10.18	35.62	48.33	8.48	0.61	0.34	84.70	NaN	NaN	NaN
20	2450914.0	51589.0	1903	222.0	1815885.0	5148.0	411.0	2.0	1.0	16	24.0	2406.00	72.18	2478.18	19.02	349.20	505.26	722.28	1178.46	440.40	NaN	NaN	NaN
21	2450924.0	34013.0	1750	139.0	524921.0	3159.0	950.0	2.0	1.0	16	15.0	181.65	10.89	192.54	98.09	60.45	74.47	8.57	98.61	169.43	NaN	NaN	NaN
22	2451547.0	44125.0	1285	292.0	1532238.0	2533.0	828.0	1.0	1.0	18	56.0	199.36	9.96	209.32	57.84	89.04	95.69	14.51	89.16	156.84	NaN	NaN	NaN
23	2451491.0	44663.0	1100	292.0	187471.0	1924.0	424.0	2.0	1.0	18	13.0	419.25	12.57	431.82	58.46	226.72	37.73	343.36	38.16	297.75	NaN	NaN	NaN
24	2451376.0	56165.0	1294	104.0	1392417.0	1141.0	312.0	1.0	1.0	19	14.0	359.24	32.33	391.57	13.77	517.30	283.79	45.27	30.18	563.40	NaN	NaN	NaN
25	2451493.0	50425.0	1304	762.0	1325860.0	758.0	856.0	1.0	1.0	19	78.0	2391.48	47.82	2439.30	78.85	2602.86	2032.75	243.93	114.80	2729.53	NaN	NaN	NaN
26	2451280.0	33889.0	190	626.0	854970.0	2561.0	305.0	1.0	1.0	21	27.0	1778.76	53.36	1832.12	73.43	495.72	160.08	1068.32	550.36	622.51	NaN	NaN	NaN
27	2451277.0	40485.0	1051	935.0	1685822.0	6158.0	494.0	2.0	1.0	22	17.0	35.02	0.00	35.02	22.87	195.16	14.35	2.68	17.99	218.03	NaN	NaN	NaN
28	2451231.0	29254.0	475	935.0	1247881.0	5718.0	555.0	2.0	1.0	22	6.0	113.94	9.11	123.05	66.52	53.40	37.60	57.25	19.09	129.03	NaN	NaN	NaN
29	2452771.0	51900.0	1953	669.0	1890707.0	5392.0	30.0	2.0	1.0	23	80.0	5883.20	294.16	6177.36	52.40	2848.80	4824.22	328.28	730.70	3195.36	NaN	NaN	NaN
30	2452213.0	40442.0	1665	69.0	1359322.0	2796.0	270.0	1.0	1.0	24	11.0	28.49	0.00	28.49	69.29	29.81	6.26	1.33	20.90	99.10	NaN	NaN	NaN
31	2452305.0	60624.0	1483	69.0	1553144.0	6578.0	765.0	1.0	1.0	24	78.0	1099.02	54.95	1153.97	27.69	328.38	1033.07	58.03	7.92	411.02	NaN	NaN	NaN
32	2451053.0	35984.0	373	838.0	1564003.0	1743.0	883.0	1.0	1.0	25	18.0	42.12	2.52	44.64	57.38	6.12	37.48	2.04	2.60	66.02	NaN	NaN	NaN
33	2451079.0	50088.0	1304	838.0	77813.0	3196.0	932.0	1.0	1.0	25	39.0	772.59	46.35	818.94	28.93	178.23	347.66	50.99	373.94	253.51	NaN	NaN	NaN
34	2451966.0	49139.0	1085	780.0	637321.0	1532.0	590.0	2.0	1.0	27	84.0	382.20	0.00	382.20	97.85	154.56	259.89	13.45	108.86	252.41	NaN	NaN	NaN
35	2451964.0	49463.0	1935	780.0	178335.0	4892.0	896.0	1.0	1.0	27	22.0	59.84	1.79	61.63	38.22	137.72	43.68	6.62	9.54	177.73	NaN	NaN	NaN
36	2451259.0	35185.0	1334	631.0	1723855.0	885.0	868.0	2.0	1.0	29	6.0	5.04	0.45	5.49	85.50	15.96	3.83	0.03	1.18	101.91	NaN	NaN	NaN
37	2451174.0	32214.0	1234	631.0	135738.0	5274.0	10.0	2.0	1.0	29	22.0	41.80	3.76	45.56	18.82	985.16	17.13	24.17	0.50	1007.74	NaN	NaN	NaN
38	2451983.0	33769.0	205	120.0	222350.0	2461.0	125.0	2.0	1.0	32	41.0	2092.23	167.37	2259.60	14.26	987.28	941.50	149.59	1001.14	1168.91	NaN	NaN	NaN
39	2451392.0	48895.0	205	971.0	934775.0	429.0	883.0	1.0	1.0	34	13.0	208.78	16.70	225.48	77.95	223.73	198.34	3.65	6.79	318.38	NaN	NaN	NaN
40	2452196.0	33535.0	1537	958.0	539558.0	6809.0	107.0	2.0	1.0	35	60.0	144.00	0.00	144.00	36.15	2167.20	87.84	39.87	16.29	2203.35	NaN	NaN	NaN
41	2452306.0	40321.0	1117	8.0	1243218.0	3988.0	711.0	1.0	1.0	36	45.0	999.45	79.95	1079.40	29.51	35.10	499.72	439.76	59.97	144.56	NaN	NaN	NaN
42	2452317.0	53999.0	1705	8.0	882385.0	NaN	NaN	2.0	1.0	36	NaN	NaN	3.49	NaN	NaN	NaN	7.49	13.58	NaN	NaN	NaN	NaN	NaN
43	2452279.0	41984.0	631	722.0	465142.0	3315.0	735.0	1.0	1.0	36	7.0	541.31	43.30	584.61	71.10	241.36	519.65	10.18	11.48	355.76	NaN	NaN	NaN
44	2452128.0	30131.0	415	252.0	491912.0	5028.0	144.0	2.0	1.0	37	85.0	8562.90	513.77	9076.67	8.17	366.35	4195.82	3493.66	873.42	888.29	NaN	NaN	NaN
45	2451271.0	44173.0	1670	890.0	1681246.0	5780.0	714.0	1.0	1.0	41	17.0	1327.36	79.64	1407.00	49.73	558.79	66.36	731.38	529.62	688.16	NaN	NaN	NaN
46	2451092.0	43741.0	130	423.0	1577815.0	3651.0	487.0	1.0	1.0	42	13.0	422.24	8.44	430.68	48.27	551.20	329.34	15.79	77.11	607.91	NaN	NaN	NaN
47	2451033.0	54994.0	1219	229.0	1611739.0	3649.0	912.0	2.0	1.0	42	43.0	1240.55	0.00	1240.55	86.84	68.80	719.51	359.51	161.53	155.64	NaN	NaN	NaN
48	2451073.0	52318.0	1820	152.0	134560.0	4215.0	223.0	1.0	1.0	42	13.0	475.54	9.51	485.05	73.37	317.07	128.39	197.87	149.28	399.95	NaN	NaN	NaN
49	2452295.0	39258.0	597	606.0	1581204.0	3389.0	621.0	2.0	1.0	45	39.0	2703.87	243.34	2947.21	59.97	386.10	1487.12	790.88	425.87	689.41	NaN	NaN	NaN
50	2451354.0	60360.0	992	598.0	194443.0	4161.0	832.0	2.0	1.0	46	47.0	3742.14	149.68	3891.82	24.47	379.29	3442.76	59.87	239.51	553.44	NaN	NaN	NaN
51	NaN	59918.0	398	NaN	NaN	3068.0	NaN	1.0	NaN	46	38.0	NaN	NaN	453.29	51.61	207.48	104.60	86.12	NaN	276.52	NaN	NaN	NaN
52	2451177.0	58870.0	368	903.0	1256944.0	382.0	373.0	1.0	1.0	47	1.0	8.12	0.73	8.85	19.08	7.43	3.81	0.77	3.54	27.24	NaN	NaN	NaN
53	2452738.0	29363.0	199	843.0	1862359.0	2275.0	391.0	2.0	1.0	48	5.0	199.35	17.94	217.29	11.83	112.95	191.37	0.71	7.27	142.72	NaN	NaN	NaN
54	2452745.0	44637.0	1215	202.0	1047097.0	5374.0	251.0	2.0	1.0	48	10.0	392.20	27.45	419.65	10.16	116.00	152.95	224.89	14.36	153.61	NaN	NaN	NaN
55	2451892.0	35637.0	1592	590.0	103157.0	6724.0	91.0	2.0	1.0	49	21.0	496.23	29.77	526.00	48.23	31.92	282.85	142.96	70.42	109.92	NaN	NaN	NaN
56	2451769.0	38709.0	311	517.0	945253.0	3357.0	61.0	2.0	1.0	51	5.0	172.10	5.16	177.26	22.72	64.20	170.37	1.59	0.14	92.08	NaN	NaN	NaN
57	2451102.0	32082.0	266	831.0	173053.0	4865.0	230.0	2.0	1.0	52	13.0	911.04	0.00	911.04	21.65	378.17	619.50	253.63	37.91	399.82	NaN	NaN	NaN
58	2451088.0	55568.0	514	810.0	1866272.0	3734.0	196.0	2.0	1.0	52	25.0	113.50	1.13	114.63	62.63	125.50	30.64	25.68	57.18	189.26	NaN	NaN	NaN
59	2451573.0	36729.0	1006	672.0	508248.0	5690.0	885.0	1.0	1.0	53	1.0	2.23	0.08	2.31	26.56	1.48	0.20	0.89	1.14	28.12	NaN	NaN	NaN
60	2452729.0	48880.0	1707	157.0	1042828.0	4295.0	162.0	1.0	1.0	54	11.0	95.48	3.81	99.29	93.36	8.36	34.37	36.05	25.06	105.53	NaN	NaN	NaN
61	2452040.0	43895.0	350	297.0	869419.0	5541.0	463.0	1.0	1.0	55	11.0	252.67	12.63	265.30	20.45	63.14	194.55	42.42	15.70	96.22	NaN	NaN	NaN
62	2452339.0	46469.0	357	967.0	972821.0	2228.0	82.0	1.0	1.0	60	78.0	2733.90	54.67	2788.57	60.37	0.00	683.47	1558.32	492.11	115.04	NaN	NaN	NaN
63	2452254.0	40433.0	1113	197.0	1420275.0	5589.0	703.0	1.0	1.0	62	6.0	446.76	26.80	473.56	67.62	213.66	58.07	15.54	373.15	308.08	NaN	NaN	NaN
64	2452701.0	35838.0	1818	129.0	305648.0	NaN	488.0	NaN	1.0	63	NaN	NaN	11.73	NaN	NaN	NaN	172.06	NaN	NaN	568.77	NaN	NaN	NaN
65	2452596.0	29520.0	1831	129.0	1086498.0	2400.0	302.0	1.0	1.0	63	16.0	78.56	0.00	78.56	96.23	49.60	43.99	21.43	13.14	145.83	NaN	NaN	NaN
66	2452604.0	36240.0	1513	129.0	479318.0	1264.0	610.0	2.0	1.0	63	28.0	216.16	19.45	235.61	57.17	242.76	108.08	104.83	3.25	319.38	NaN	NaN	NaN
67	2452593.0	55466.0	723	17.0	145292.0	437.0	782.0	2.0	1.0	64	19.0	583.49	40.84	624.33	54.92	392.35	280.07	203.29	100.13	488.11	NaN	NaN	NaN
68	2452556.0	56489.0	913	17.0	492805.0	2019.0	33.0	1.0	1.0	64	34.0	2325.60	0.00	2325.60	57.60	1987.30	1046.52	575.58	703.50	2044.90	NaN	NaN	NaN
69	2452437.0	54978.0	1125	17.0	569529.0	3161.0	193.0	1.0	1.0	64	66.0	6903.60	0.00	6903.60	76.02	2987.82	6213.24	352.08	338.28	3063.84	NaN	NaN	NaN
70	2452346.0	53160.0	1629	766.0	1603765.0	4015.0	465.0	2.0	1.0	66	15.0	630.75	25.23	655.98	2.26	336.30	491.98	80.48	58.29	363.79	NaN	NaN	NaN
71	2452555.0	43088.0	1705	624.0	529565.0	2324.0	930.0	1.0	1.0	67	41.0	594.09	23.76	617.85	40.24	1063.54	160.40	56.37	377.32	1127.54	NaN	NaN	NaN
72	2451258.0	43812.0	481	564.0	496988.0	6773.0	205.0	2.0	1.0	68	21.0	178.50	5.35	183.85	96.73	53.76	82.11	75.18	21.21	155.84	NaN	NaN	NaN
73	2451256.0	50305.0	196	942.0	875823.0	2104.0	738.0	1.0	1.0	71	2.0	13.48	0.13	13.61	91.25	2.92	6.33	5.14	2.01	94.30	NaN	NaN	NaN
74	2451294.0	44684.0	205	239.0	1910912.0	233.0	1.0	2.0	1.0	71	25.0	188.00	16.92	204.92	44.05	51.25	150.40	6.39	31.21	112.22	NaN	NaN	NaN
75	2451329.0	29997.0	1225	239.0	195885.0	3539.0	146.0	2.0	1.0	71	5.0	164.65	1.64	166.29	75.66	205.80	74.09	12.67	77.89	283.10	NaN	NaN	NaN
76	2451829.0	50278.0	521	602.0	1271817.0	6019.0	468.0	1.0	1.0	72	3.0	166.41	1.66	168.07	1.14	64.92	59.90	62.84	43.67	67.72	NaN	NaN	NaN
77	2451174.0	57809.0	1540	337.0	767720.0	4103.0	886.0	2.0	1.0	74	4.0	36.32	0.00	36.32	38.54	42.96	12.71	6.13	17.48	81.50	NaN	NaN	NaN
78	2452279.0	52274.0	569	531.0	78088.0	234.0	580.0	2.0	1.0	76	1.0	76.51	6.88	83.39	66.92	30.28	56.61	19.70	0.20	104.08	NaN	NaN	NaN
79	2452242.0	52421.0	1627	531.0	1630980.0	4166.0	352.0	1.0	1.0	76	15.0	796.05	31.84	827.89	91.64	176.85	278.61	243.19	274.25	300.33	NaN	NaN	NaN
80	2451201.0	32557.0	1856	102.0	622349.0	4796.0	43.0	2.0	1.0	77	10.0	569.40	45.55	614.95	45.00	621.20	529.54	19.93	19.93	711.75	NaN	NaN	NaN
81	2451155.0	53923.0	1741	529.0	1758891.0	3500.0	309.0	1.0	1.0	78	13.0	1077.83	64.66	1142.49	77.87	576.81	506.58	457.00	114.25	719.34	NaN	NaN	NaN
82	2452290.0	54248.0	31	17.0	382863.0	6073.0	483.0	1.0	1.0	79	34.0	797.64	71.78	869.42	57.39	1296.08	71.78	79.84	646.02	1425.25	NaN	NaN	NaN
83	2451154.0	51844.0	13	368.0	1254797.0	4380.0	916.0	2.0	1.0	80	64.0	6830.08	68.30	6898.38	85.70	148.48	6625.17	127.04	77.87	302.48	NaN	NaN	NaN
84	2451281.0	48144.0	358	625.0	459305.0	510.0	915.0	1.0	1.0	81	22.0	1416.58	42.49	1459.07	16.86	849.86	1388.24	23.52	4.82	909.21	NaN	NaN	NaN
85	2451214.0	55537.0	1543	625.0	944226.0	463.0	147.0	2.0	1.0	81	5.0	0.00	0.00	0.00	94.53	24.55	0.00	0.00	0.00	119.08	NaN	NaN	NaN
86	2451369.0	NaN	1790	512.0	NaN	3587.0	NaN	1.0	NaN	82	NaN	1491.00	NaN	NaN	NaN	545.30	NaN	735.06	NaN	707.47	NaN	NaN	NaN
87	2451471.0	50769.0	1780	896.0	1082287.0	645.0	356.0	1.0	1.0	82	8.0	847.84	42.39	890.23	40.52	77.04	576.53	208.90	62.41	159.95	NaN	NaN	NaN
88	2451533.0	34774.0	1996	896.0	1427925.0	1401.0	230.0	2.0	1.0	82	43.0	1399.65	55.98	1455.63	74.63	447.63	839.79	156.76	403.10	578.24	NaN	NaN	NaN
89	2452677.0	50033.0	1671	678.0	842053.0	5314.0	175.0	1.0	1.0	83	21.0	1151.01	23.02	1174.03	28.22	146.16	115.10	973.75	62.16	197.40	NaN	NaN	NaN
90	2452530.0	44806.0	1951	91.0	1034463.0	114.0	165.0	1.0	1.0	84	5.0	323.00	19.38	342.38	5.27	171.25	261.63	43.57	17.80	195.90	NaN	NaN	NaN
91	2452550.0	39316.0	1482	91.0	222509.0	5658.0	7.0	2.0	1.0	84	63.0	1733.76	156.03	1889.79	98.99	1155.42	208.05	671.31	854.40	1410.44	NaN	NaN	NaN
92	2452550.0	56385.0	984	91.0	1844056.0	137.0	818.0	2.0	1.0	84	52.0	112.84	0.00	112.84	47.55	130.00	44.00	68.84	0.00	177.55	NaN	NaN	NaN
93	2452743.0	53098.0	363	560.0	1435175.0	1237.0	452.0	1.0	1.0	86	25.0	50.00	4.00	54.00	95.65	2.50	29.00	16.38	4.62	102.15	NaN	NaN	NaN
94	2452805.0	37053.0	1039	359.0	705875.0	2076.0	430.0	2.0	1.0	86	12.0	100.44	3.01	103.45	81.54	343.32	50.22	6.52	43.70	427.87	NaN	NaN	NaN
95	2451604.0	NaN	920	NaN	1393955.0	NaN	NaN	NaN	NaN	87	17.0	NaN	NaN	NaN	35.41	NaN	213.43	NaN	0.17	NaN	NaN	NaN	NaN
96	2452317.0	32925.0	1685	272.0	1361123.0	1963.0	403.0	1.0	1.0	88	34.0	146.20	0.00	146.20	22.87	1376.66	86.25	23.38	36.57	1399.53	NaN	NaN	NaN
97	2452260.0	58521.0	1679	110.0	341664.0	7018.0	372.0	2.0	1.0	88	70.0	1168.30	70.09	1238.39	37.61	1168.30	198.61	96.96	872.73	1276.00	NaN	NaN	NaN
98	2451907.0	56892.0	788	994.0	751267.0	6036.0	52.0	1.0	1.0	89	1.0	131.14	0.00	131.14	75.40	53.76	111.46	17.51	2.17	129.16	NaN	NaN	NaN

store_sales (first 100 rows)

	SS_SOLD_DATE_SK	SS_SOLD_TIME_SK	SS_ITEM_SK	SS_CUSTOMER_SK	SS_CDEMO_SK	SS_HDEMO_SK	SS_ADDR_SK	SS_STORE_SK	SS_PROMO_SK	SS_TICKET_NUMBER	SS_QUANTITY	SS_WHOLESALE_COST	SS_LIST_PRICE	SS_SALES_PRICE	SS_EXT_DISCOUNT_AMT	SS_EXT_SALES_PRICE	SS_EXT_WHOLESALE_COST	SS_EXT_LIST_PRICE	SS_EXT_TAX	SS_COUPON_AMT	SS_NET_PAID	SS_NET_PAID_INC_TAX	SS_NET_PROFIT
0	2451813.0	65495.0	1091	6.0	591617.0	3428.0	839.0	2.0	2.0	1	79.0	11.41	18.71	2.80	99.54	221.20	901.39	1478.09	6.08	99.54	121.66	127.74	-779.73
1	2451813.0	65495.0	1478	6.0	591617.0	3428.0	839.0	2.0	1.0	1	37.0	63.63	101.17	41.47	46.03	1534.39	2354.31	3743.29	59.53	46.03	1488.36	1547.89	-865.95
2	2451813.0	65495.0	1961	6.0	591617.0	3428.0	839.0	2.0	1.0	1	99.0	80.52	137.68	83.98	0.00	8314.02	7971.48	13630.32	0.00	0.00	8314.02	8314.02	342.54
3	2451813.0	65495.0	470	6.0	591617.0	3428.0	839.0	2.0	1.0	1	14.0	57.37	76.30	6.10	0.00	85.40	803.18	1068.20	0.00	0.00	85.40	85.40	-717.78
4	2451813.0	65495.0	404	6.0	591617.0	3428.0	839.0	2.0	2.0	1	100.0	25.08	36.86	0.73	0.00	73.00	2508.00	3686.00	6.57	0.00	73.00	79.57	-2435.00
5	2451813.0	65495.0	1813	6.0	591617.0	3428.0	839.0	2.0	2.0	1	91.0	93.48	108.43	93.24	0.00	8484.84	8506.68	9867.13	254.54	0.00	8484.84	8739.38	-21.84
6	2451813.0	65495.0	1439	6.0	591617.0	3428.0	839.0	2.0	1.0	1	5.0	10.68	15.91	6.68	0.00	33.40	53.40	79.55	2.33	0.00	33.40	35.73	-20.00
7	2451813.0	65495.0	203	6.0	591617.0	3428.0	839.0	2.0	3.0	1	72.0	84.72	111.83	61.50	0.00	4428.00	6099.84	8051.76	177.12	0.00	4428.00	4605.12	-1671.84
8	2451813.0	65495.0	1837	6.0	591617.0	3428.0	839.0	2.0	1.0	1	14.0	11.54	11.77	0.00	0.00	0.00	161.56	164.78	0.00	0.00	0.00	0.00	-161.56
9	2451813.0	65495.0	1484	6.0	591617.0	3428.0	839.0	2.0	3.0	1	58.0	4.57	5.34	3.52	0.00	204.16	265.06	309.72	0.00	0.00	204.16	204.16	-60.90
10	2451813.0	65495.0	1901	6.0	591617.0	3428.0	839.0	2.0	1.0	1	44.0	31.07	54.99	24.19	0.00	1064.36	1367.08	2419.56	85.14	0.00	1064.36	1149.50	-302.72
11	2451813.0	65495.0	257	6.0	591617.0	3428.0	839.0	2.0	1.0	1	88.0	52.41	63.94	49.23	0.00	4332.24	4612.08	5626.72	259.93	0.00	4332.24	4592.17	-279.84
12	2451813.0	65495.0	365	6.0	591617.0	3428.0	839.0	2.0	2.0	1	50.0	67.71	126.61	87.36	0.00	4368.00	3385.50	6330.50	349.44	0.00	4368.00	4717.44	982.50
13	2451813.0	65495.0	989	6.0	591617.0	3428.0	839.0	2.0	3.0	1	65.0	27.16	52.14	41.19	0.00	2677.35	1765.40	3389.10	214.18	0.00	2677.35	2891.53	911.95
14	2451524.0	75316.0	61	284.0	1712478.0	4672.0	266.0	2.0	1.0	2	65.0	93.86	158.62	34.89	0.00	2267.85	6100.90	10310.30	45.35	0.00	2267.85	2313.20	-3833.05
15	2451524.0	75316.0	1669	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	93.0	35.87	49.14	15.23	0.00	1416.39	3335.91	4570.02	113.31	0.00	1416.39	1529.70	-1919.52
16	2451524.0	75316.0	686	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	30.0	2.27	3.83	1.11	0.00	33.30	68.10	114.90	0.00	0.00	33.30	33.30	-34.80
17	2451524.0	75316.0	1142	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	58.0	53.09	58.39	7.59	0.00	440.22	3079.22	3386.62	0.00	0.00	440.22	440.22	-2639.00
18	NaN	75316.0	1771	NaN	NaN	4672.0	NaN	2.0	NaN	2	NaN	17.12	19.85	NaN	NaN	NaN	NaN	NaN	19.07	NaN	NaN	495.84	NaN
19	2451524.0	75316.0	1336	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	79.0	88.02	128.50	69.39	4549.90	5481.81	6953.58	10151.50	83.87	4549.90	931.91	1015.78	-6021.67
20	2451524.0	75316.0	1030	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	25.0	74.26	89.11	35.64	0.00	891.00	1856.50	2227.75	8.91	0.00	891.00	899.91	-965.50
21	2451524.0	75316.0	1330	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	78.0	65.71	88.70	23.06	341.74	1798.68	5125.38	6918.60	131.12	341.74	1456.94	1588.06	-3668.44
22	2451524.0	75316.0	1792	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	88.0	64.43	79.89	41.54	0.00	3655.52	5669.84	7030.32	146.22	0.00	3655.52	3801.74	-2014.32
23	2451524.0	75316.0	565	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	49.0	6.55	7.86	7.46	0.00	365.54	320.95	385.14	0.00	0.00	365.54	365.54	44.59
24	2451524.0	75316.0	56	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	4.0	13.46	15.34	12.57	0.00	50.28	53.84	61.36	4.02	0.00	50.28	54.30	-3.56
25	2451524.0	75316.0	406	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	74.0	16.55	17.21	4.47	0.00	330.78	1224.70	1273.54	0.00	0.00	330.78	330.78	-893.92
26	2451524.0	75316.0	740	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	71.0	36.01	64.09	3.20	0.00	227.20	2556.71	4550.39	4.54	0.00	227.20	231.74	-2329.51
27	2451524.0	75316.0	992	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	36.0	61.23	93.06	11.16	0.00	401.76	2204.28	3350.16	28.12	0.00	401.76	429.88	-1802.52
28	2451524.0	75316.0	991	284.0	1712478.0	4672.0	266.0	2.0	1.0	2	62.0	77.97	85.76	79.75	0.00	4944.50	4834.14	5317.12	0.00	0.00	4944.50	4944.50	110.36
29	2452638.0	50412.0	150	47.0	586372.0	697.0	622.0	1.0	2.0	3	82.0	56.14	111.15	46.68	0.00	3827.76	4603.48	9114.30	306.22	0.00	3827.76	4133.98	-775.72
30	2452638.0	50412.0	672	47.0	586372.0	697.0	622.0	1.0	1.0	3	96.0	98.02	136.24	104.90	0.00	10070.40	9409.92	13079.04	100.70	0.00	10070.40	10171.10	660.48
31	NaN	NaN	247	NaN	NaN	NaN	622.0	1.0	3.0	3	NaN	NaN	130.66	NaN	NaN	3104.46	NaN	3527.82	124.17	NaN	NaN	NaN	NaN
32	2452638.0	50412.0	912	47.0	586372.0	697.0	622.0	1.0	3.0	3	42.0	97.03	178.53	7.14	0.00	299.88	4075.26	7498.26	17.99	0.00	299.88	317.87	-3775.38
33	2452638.0	50412.0	15	47.0	586372.0	697.0	622.0	1.0	2.0	3	64.0	74.69	120.25	2.40	0.00	153.60	4780.16	7696.00	3.07	0.00	153.60	156.67	-4626.56
34	2452638.0	50412.0	1719	47.0	586372.0	697.0	622.0	1.0	2.0	3	17.0	72.38	111.46	75.79	0.00	1288.43	1230.46	1894.82	38.65	0.00	1288.43	1327.08	57.97
35	2452638.0	50412.0	78	47.0	586372.0	697.0	622.0	1.0	3.0	3	88.0	27.95	38.57	26.99	403.77	2375.12	2459.60	3394.16	0.00	403.77	1971.35	1971.35	-488.25
36	2452638.0	50412.0	1539	47.0	586372.0	697.0	622.0	1.0	2.0	3	4.0	95.75	146.49	43.94	0.00	175.76	383.00	585.96	5.27	0.00	175.76	181.03	-207.24
37	2452638.0	50412.0	771	47.0	586372.0	697.0	622.0	1.0	2.0	3	79.0	44.66	83.06	17.44	1115.98	1377.76	3528.14	6561.74	5.23	1115.98	261.78	267.01	-3266.36
38	2452638.0	50412.0	246	47.0	586372.0	697.0	622.0	1.0	3.0	3	56.0	4.31	6.76	0.06	3.22	3.36	241.36	378.56	0.01	3.22	0.14	0.15	-241.22
39	2452638.0	50412.0	1063	47.0	586372.0	697.0	622.0	1.0	2.0	3	27.0	37.04	58.89	55.35	0.00	1494.45	1000.08	1590.03	29.88	0.00	1494.45	1524.33	494.37
40	2452638.0	50412.0	1545	47.0	586372.0	697.0	622.0	1.0	1.0	3	4.0	75.67	130.15	35.14	0.00	140.56	302.68	520.60	9.83	0.00	140.56	150.39	-162.12
41	2452638.0	50412.0	715	47.0	586372.0	697.0	622.0	1.0	3.0	3	53.0	23.04	44.00	26.40	0.00	1399.20	1221.12	2332.00	13.99	0.00	1399.20	1413.19	178.08
42	2452638.0	50412.0	648	47.0	586372.0	697.0	622.0	1.0	1.0	3	98.0	85.00	132.60	90.16	4506.19	8835.68	8330.00	12994.80	0.00	4506.19	4329.49	4329.49	-4000.51
43	2451438.0	38195.0	344	814.0	874786.0	1511.0	83.0	2.0	2.0	4	43.0	54.34	107.59	87.14	0.00	3747.02	2336.62	4626.37	299.76	0.00	3747.02	4046.78	1410.40
44	2451438.0	38195.0	397	814.0	874786.0	1511.0	83.0	2.0	2.0	4	23.0	2.91	3.57	3.53	32.47	81.19	66.93	82.11	0.97	32.47	48.72	49.69	-18.21
45	2451438.0	38195.0	1060	814.0	874786.0	1511.0	83.0	2.0	1.0	4	56.0	64.68	78.90	24.45	0.00	1369.20	3622.08	4418.40	0.00	0.00	1369.20	1369.20	-2252.88
46	2451438.0	38195.0	886	814.0	874786.0	1511.0	83.0	2.0	2.0	4	21.0	40.39	40.39	12.11	0.00	254.31	848.19	848.19	22.88	0.00	254.31	277.19	-593.88
47	2451438.0	38195.0	1904	814.0	874786.0	1511.0	83.0	2.0	1.0	4	41.0	67.18	78.60	5.50	0.00	225.50	2754.38	3222.60	13.53	0.00	225.50	239.03	-2528.88
48	2451438.0	38195.0	272	814.0	874786.0	1511.0	83.0	2.0	2.0	4	27.0	26.21	44.81	19.26	0.00	520.02	707.67	1209.87	46.80	0.00	520.02	566.82	-187.65
49	2451438.0	38195.0	86	814.0	874786.0	1511.0	83.0	2.0	1.0	4	86.0	64.67	123.51	55.57	0.00	4779.02	5561.62	10621.86	47.79	0.00	4779.02	4826.81	-782.60
50	2451438.0	38195.0	1465	814.0	874786.0	1511.0	83.0	2.0	1.0	4	17.0	54.26	105.80	9.52	116.52	161.84	922.42	1798.60	0.00	116.52	45.32	45.32	-877.10
51	2451438.0	38195.0	586	814.0	874786.0	1511.0	83.0	2.0	3.0	4	74.0	81.81	163.62	45.81	0.00	3389.94	6053.94	12107.88	271.19	0.00	3389.94	3661.13	-2664.00
52	2451438.0	38195.0	908	814.0	874786.0	1511.0	83.0	2.0	2.0	4	23.0	53.28	77.78	1.55	21.03	35.65	1225.44	1788.94	1.16	21.03	14.62	15.78	-1210.82
53	2451465.0	53976.0	1826	246.0	963544.0	5042.0	940.0	2.0	1.0	5	60.0	69.54	112.65	57.45	0.00	3447.00	4172.40	6759.00	34.47	0.00	3447.00	3481.47	-725.40
54	2451465.0	53976.0	1057	246.0	963544.0	5042.0	940.0	2.0	1.0	5	52.0	16.33	32.33	31.68	0.00	1647.36	849.16	1681.16	115.31	0.00	1647.36	1762.67	798.20
55	2451465.0	53976.0	1540	246.0	963544.0	5042.0	940.0	2.0	2.0	5	83.0	74.15	89.72	63.70	0.00	5287.10	6154.45	7446.76	422.96	0.00	5287.10	5710.06	-867.35
56	2451465.0	53976.0	691	246.0	963544.0	5042.0	940.0	2.0	3.0	5	15.0	21.21	33.93	30.53	0.00	457.95	318.15	508.95	22.89	0.00	457.95	480.84	139.80
57	2451465.0	53976.0	502	246.0	963544.0	5042.0	940.0	2.0	3.0	5	71.0	22.10	37.57	28.17	0.00	2000.07	1569.10	2667.47	180.00	0.00	2000.07	2180.07	430.97
58	2451465.0	53976.0	1162	246.0	963544.0	5042.0	940.0	2.0	2.0	5	36.0	7.93	12.92	7.36	0.00	264.96	285.48	465.12	0.00	0.00	264.96	264.96	-20.52
59	2451465.0	53976.0	1561	246.0	963544.0	5042.0	940.0	2.0	1.0	5	66.0	71.06	136.43	45.02	0.00	2971.32	4689.96	9004.38	59.42	0.00	2971.32	3030.74	-1718.64
60	2451465.0	53976.0	1790	246.0	963544.0	5042.0	940.0	2.0	2.0	5	66.0	21.01	28.57	5.99	0.00	395.34	1386.66	1885.62	7.90	0.00	395.34	403.24	-991.32
61	NaN	53976.0	1064	NaN	963544.0	NaN	NaN	2.0	2.0	5	50.0	30.69	59.84	NaN	NaN	NaN	1534.50	NaN	0.00	NaN	1735.00	NaN	200.50
62	2451465.0	53976.0	1238	246.0	963544.0	5042.0	940.0	2.0	2.0	5	91.0	27.68	53.69	0.53	0.00	48.23	2518.88	4885.79	3.85	0.00	48.23	52.08	-2470.65
63	2451465.0	53976.0	28	246.0	963544.0	5042.0	940.0	2.0	2.0	5	76.0	89.78	103.24	50.58	0.00	3844.08	6823.28	7846.24	153.76	0.00	3844.08	3997.84	-2979.20
64	2451465.0	53976.0	1832	246.0	963544.0	5042.0	940.0	2.0	3.0	5	64.0	87.90	95.81	66.10	0.00	4230.40	5625.60	6131.84	0.00	0.00	4230.40	4230.40	-1395.20
65	2451465.0	53976.0	1190	246.0	963544.0	5042.0	940.0	2.0	2.0	5	60.0	41.72	52.98	32.31	0.00	1938.60	2503.20	3178.80	0.00	0.00	1938.60	1938.60	-564.60
66	NaN	53976.0	1780	246.0	NaN	NaN	940.0	2.0	NaN	5	NaN	NaN	77.52	11.62	0.00	732.06	NaN	4883.76	43.92	0.00	NaN	NaN	NaN
67	2451465.0	53976.0	307	246.0	963544.0	5042.0	940.0	2.0	2.0	5	50.0	30.96	56.34	45.07	0.00	2253.50	1548.00	2817.00	22.53	0.00	2253.50	2276.03	705.50
68	NaN	NaN	611	29.0	NaN	2092.0	NaN	NaN	3.0	6	NaN	NaN	NaN	NaN	NaN	449.88	NaN	NaN	NaN	NaN	NaN	NaN	NaN
69	2452109.0	36794.0	849	29.0	506184.0	2092.0	800.0	1.0	3.0	6	31.0	49.78	77.15	69.43	0.00	2152.33	1543.18	2391.65	0.00	0.00	2152.33	2152.33	609.15
70	2452109.0	36794.0	821	29.0	506184.0	2092.0	800.0	1.0	2.0	6	62.0	85.07	159.08	76.35	0.00	4733.70	5274.34	9862.96	189.34	0.00	4733.70	4923.04	-540.64
71	2452109.0	36794.0	151	29.0	506184.0	2092.0	800.0	1.0	3.0	6	1.0	71.10	89.58	61.81	0.00	61.81	71.10	89.58	3.70	0.00	61.81	65.51	-9.29
72	2452109.0	36794.0	43	29.0	506184.0	2092.0	800.0	1.0	3.0	6	61.0	48.18	60.70	18.81	126.21	1147.41	2938.98	3702.70	71.48	126.21	1021.20	1092.68	-1917.78
73	2452109.0	36794.0	1933	29.0	506184.0	2092.0	800.0	1.0	2.0	6	42.0	64.46	70.26	32.31	0.00	1357.02	2707.32	2950.92	27.14	0.00	1357.02	1384.16	-1350.30
74	2452109.0	36794.0	1335	29.0	506184.0	2092.0	800.0	1.0	3.0	6	100.0	41.08	42.31	38.50	0.00	3850.00	4108.00	4231.00	346.50	0.00	3850.00	4196.50	-258.00
75	2452109.0	36794.0	97	29.0	506184.0	2092.0	800.0	1.0	3.0	6	64.0	86.35	152.83	122.26	6650.94	7824.64	5526.40	9781.12	35.21	6650.94	1173.70	1208.91	-4352.70
76	2452109.0	36794.0	395	29.0	506184.0	2092.0	800.0	1.0	3.0	6	94.0	62.67	99.64	97.64	0.00	9178.16	5890.98	9366.16	91.78	0.00	9178.16	9269.94	3287.18
77	2452109.0	36794.0	1849	29.0	506184.0	2092.0	800.0	1.0	3.0	6	72.0	55.49	93.77	55.32	0.00	3983.04	3995.28	6751.44	199.15	0.00	3983.04	4182.19	-12.24
78	2452109.0	36794.0	1235	29.0	506184.0	2092.0	800.0	1.0	3.0	6	100.0	4.45	7.87	7.24	0.00	724.00	445.00	787.00	57.92	0.00	724.00	781.92	279.00
79	2452260.0	46712.0	1657	954.0	890396.0	791.0	633.0	2.0	3.0	7	51.0	84.65	124.43	49.77	0.00	2538.27	4317.15	6345.93	76.14	0.00	2538.27	2614.41	-1778.88
80	2452260.0	46712.0	1829	954.0	890396.0	791.0	633.0	2.0	3.0	7	9.0	56.13	59.49	30.93	0.00	278.37	505.17	535.41	22.26	0.00	278.37	300.63	-226.80
81	2452260.0	NaN	437	954.0	890396.0	791.0	NaN	NaN	NaN	7	4.0	NaN	NaN	NaN	NaN	278.60	203.68	366.60	22.28	NaN	278.60	300.88	NaN
82	2452260.0	46712.0	1749	954.0	NaN	NaN	NaN	NaN	1.0	7	NaN	NaN	72.02	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4990.30	NaN	1141.70
83	2452260.0	46712.0	1027	954.0	890396.0	791.0	633.0	2.0	3.0	7	88.0	38.23	72.63	39.22	0.00	3451.36	3364.24	6391.44	138.05	0.00	3451.36	3589.41	87.12
84	2452260.0	46712.0	1029	954.0	890396.0	791.0	633.0	2.0	3.0	7	52.0	63.80	81.02	22.68	0.00	1179.36	3317.60	4213.04	23.58	0.00	1179.36	1202.94	-2138.24
85	2452260.0	46712.0	763	954.0	890396.0	791.0	633.0	2.0	2.0	7	69.0	99.85	113.82	110.40	0.00	7617.60	6889.65	7853.58	0.00	0.00	7617.60	7617.60	727.95
86	2452260.0	46712.0	261	954.0	890396.0	791.0	633.0	2.0	1.0	7	54.0	42.82	56.09	21.31	0.00	1150.74	2312.28	3028.86	92.05	0.00	1150.74	1242.79	-1161.54
87	2452260.0	46712.0	1177	954.0	890396.0	791.0	633.0	2.0	2.0	7	12.0	47.60	75.20	65.42	0.00	785.04	571.20	902.40	47.10	0.00	785.04	832.14	213.84
88	2452260.0	46712.0	543	954.0	890396.0	791.0	633.0	2.0	2.0	7	73.0	12.17	14.23	11.24	623.59	820.52	888.41	1038.79	5.90	623.59	196.93	202.83	-691.48
89	2452260.0	46712.0	685	954.0	890396.0	791.0	633.0	2.0	2.0	7	69.0	34.19	58.46	50.86	0.00	3509.34	2359.11	4033.74	210.56	0.00	3509.34	3719.90	1150.23
90	2452260.0	46712.0	1707	954.0	890396.0	791.0	633.0	2.0	3.0	7	82.0	69.53	87.60	34.16	0.00	2801.12	5701.46	7183.20	0.00	0.00	2801.12	2801.12	-2900.34
91	2452179.0	52209.0	469	944.0	578318.0	6045.0	19.0	1.0	1.0	8	90.0	81.63	151.83	113.87	9428.43	10248.30	7346.70	13664.70	40.99	9428.43	819.87	860.86	-6526.83
92	2452179.0	52209.0	403	944.0	578318.0	6045.0	19.0	1.0	1.0	8	87.0	31.78	63.24	16.44	0.00	1430.28	2764.86	5501.88	57.21	0.00	1430.28	1487.49	-1334.58
93	2452179.0	52209.0	1303	944.0	578318.0	6045.0	19.0	1.0	3.0	8	31.0	15.64	26.43	13.21	0.00	409.51	484.84	819.33	4.09	0.00	409.51	413.60	-75.33
94	2452179.0	52209.0	1141	944.0	578318.0	6045.0	19.0	1.0	2.0	8	95.0	21.29	33.85	20.64	0.00	1960.80	2022.55	3215.75	98.04	0.00	1960.80	2058.84	-61.75
95	2452179.0	52209.0	665	944.0	578318.0	6045.0	19.0	1.0	2.0	8	7.0	18.65	27.97	20.41	0.00	142.87	130.55	195.79	1.42	0.00	142.87	144.29	12.32
96	2452179.0	52209.0	571	944.0	578318.0	6045.0	19.0	1.0	2.0	8	54.0	36.99	47.71	27.67	0.00	1494.18	1997.46	2576.34	89.65	0.00	1494.18	1583.83	-503.28
97	2452179.0	52209.0	1203	944.0	578318.0	6045.0	19.0	1.0	2.0	8	95.0	91.80	93.63	75.84	6700.46	7204.80	8721.00	8894.85	5.04	6700.46	504.34	509.38	-8216.66
98	2452179.0	52209.0	951	944.0	578318.0	6045.0	19.0	1.0	2.0	8	83.0	14.11	27.37	3.28	0.00	272.24	1171.13	2271.71	13.61	0.00	272.24	285.85	-898.89

time_dim (first 100 rows)

	T_TIME_SK	T_TIME_ID	T_TIME	T_MINUTE	T_SECOND	T_AM_PM	T_SHIFT	T_SUB_SHIFT	T_MEAL_TIME
0	0	AAAAAAAABAAAAAAA	0	0	0	AM	third	night	NaN
1	1	AAAAAAAACAAAAAAA	1	0	1	AM	third	night	NaN
2	2	AAAAAAAADAAAAAAA	2	0	2	AM	third	night	NaN
3	3	AAAAAAAAEAAAAAAA	3	0	3	AM	third	night	NaN
4	4	AAAAAAAAFAAAAAAA	4	0	4	AM	third	night	NaN
5	5	AAAAAAAAGAAAAAAA	5	0	5	AM	third	night	NaN
6	6	AAAAAAAAHAAAAAAA	6	0	6	AM	third	night	NaN
7	7	AAAAAAAAIAAAAAAA	7	0	7	AM	third	night	NaN
8	8	AAAAAAAAJAAAAAAA	8	0	8	AM	third	night	NaN
9	9	AAAAAAAAKAAAAAAA	9	0	9	AM	third	night	NaN
10	10	AAAAAAAALAAAAAAA	10	0	10	AM	third	night	NaN
11	11	AAAAAAAAMAAAAAAA	11	0	11	AM	third	night	NaN
12	12	AAAAAAAANAAAAAAA	12	0	12	AM	third	night	NaN
13	13	AAAAAAAAOAAAAAAA	13	0	13	AM	third	night	NaN
14	14	AAAAAAAAPAAAAAAA	14	0	14	AM	third	night	NaN
15	15	AAAAAAAAABAAAAAA	15	0	15	AM	third	night	NaN
16	16	AAAAAAAABBAAAAAA	16	0	16	AM	third	night	NaN
17	17	AAAAAAAACBAAAAAA	17	0	17	AM	third	night	NaN
18	18	AAAAAAAADBAAAAAA	18	0	18	AM	third	night	NaN
19	19	AAAAAAAAEBAAAAAA	19	0	19	AM	third	night	NaN
20	20	AAAAAAAAFBAAAAAA	20	0	20	AM	third	night	NaN
21	21	AAAAAAAAGBAAAAAA	21	0	21	AM	third	night	NaN
22	22	AAAAAAAAHBAAAAAA	22	0	22	AM	third	night	NaN
23	23	AAAAAAAAIBAAAAAA	23	0	23	AM	third	night	NaN
24	24	AAAAAAAAJBAAAAAA	24	0	24	AM	third	night	NaN
25	25	AAAAAAAAKBAAAAAA	25	0	25	AM	third	night	NaN
26	26	AAAAAAAALBAAAAAA	26	0	26	AM	third	night	NaN
27	27	AAAAAAAAMBAAAAAA	27	0	27	AM	third	night	NaN
28	28	AAAAAAAANBAAAAAA	28	0	28	AM	third	night	NaN
29	29	AAAAAAAAOBAAAAAA	29	0	29	AM	third	night	NaN
30	30	AAAAAAAAPBAAAAAA	30	0	30	AM	third	night	NaN
31	31	AAAAAAAAACAAAAAA	31	0	31	AM	third	night	NaN
32	32	AAAAAAAABCAAAAAA	32	0	32	AM	third	night	NaN
33	33	AAAAAAAACCAAAAAA	33	0	33	AM	third	night	NaN
34	34	AAAAAAAADCAAAAAA	34	0	34	AM	third	night	NaN
35	35	AAAAAAAAECAAAAAA	35	0	35	AM	third	night	NaN
36	36	AAAAAAAAFCAAAAAA	36	0	36	AM	third	night	NaN
37	37	AAAAAAAAGCAAAAAA	37	0	37	AM	third	night	NaN
38	38	AAAAAAAAHCAAAAAA	38	0	38	AM	third	night	NaN
39	39	AAAAAAAAICAAAAAA	39	0	39	AM	third	night	NaN
40	40	AAAAAAAAJCAAAAAA	40	0	40	AM	third	night	NaN
41	41	AAAAAAAAKCAAAAAA	41	0	41	AM	third	night	NaN
42	42	AAAAAAAALCAAAAAA	42	0	42	AM	third	night	NaN
43	43	AAAAAAAAMCAAAAAA	43	0	43	AM	third	night	NaN
44	44	AAAAAAAANCAAAAAA	44	0	44	AM	third	night	NaN
45	45	AAAAAAAAOCAAAAAA	45	0	45	AM	third	night	NaN
46	46	AAAAAAAAPCAAAAAA	46	0	46	AM	third	night	NaN
47	47	AAAAAAAAADAAAAAA	47	0	47	AM	third	night	NaN
48	48	AAAAAAAABDAAAAAA	48	0	48	AM	third	night	NaN
49	49	AAAAAAAACDAAAAAA	49	0	49	AM	third	night	NaN
50	50	AAAAAAAADDAAAAAA	50	0	50	AM	third	night	NaN
51	51	AAAAAAAAEDAAAAAA	51	0	51	AM	third	night	NaN
52	52	AAAAAAAAFDAAAAAA	52	0	52	AM	third	night	NaN
53	53	AAAAAAAAGDAAAAAA	53	0	53	AM	third	night	NaN
54	54	AAAAAAAAHDAAAAAA	54	0	54	AM	third	night	NaN
55	55	AAAAAAAAIDAAAAAA	55	0	55	AM	third	night	NaN
56	56	AAAAAAAAJDAAAAAA	56	0	56	AM	third	night	NaN
57	57	AAAAAAAAKDAAAAAA	57	0	57	AM	third	night	NaN
58	58	AAAAAAAALDAAAAAA	58	0	58	AM	third	night	NaN
59	59	AAAAAAAAMDAAAAAA	59	0	59	AM	third	night	NaN
60	60	AAAAAAAANDAAAAAA	60	1	0	AM	third	night	NaN
61	61	AAAAAAAAODAAAAAA	61	1	1	AM	third	night	NaN
62	62	AAAAAAAAPDAAAAAA	62	1	2	AM	third	night	NaN
63	63	AAAAAAAAAEAAAAAA	63	1	3	AM	third	night	NaN
64	64	AAAAAAAABEAAAAAA	64	1	4	AM	third	night	NaN
65	65	AAAAAAAACEAAAAAA	65	1	5	AM	third	night	NaN
66	66	AAAAAAAADEAAAAAA	66	1	6	AM	third	night	NaN
67	67	AAAAAAAAEEAAAAAA	67	1	7	AM	third	night	NaN
68	68	AAAAAAAAFEAAAAAA	68	1	8	AM	third	night	NaN
69	69	AAAAAAAAGEAAAAAA	69	1	9	AM	third	night	NaN
70	70	AAAAAAAAHEAAAAAA	70	1	10	AM	third	night	NaN
71	71	AAAAAAAAIEAAAAAA	71	1	11	AM	third	night	NaN
72	72	AAAAAAAAJEAAAAAA	72	1	12	AM	third	night	NaN
73	73	AAAAAAAAKEAAAAAA	73	1	13	AM	third	night	NaN
74	74	AAAAAAAALEAAAAAA	74	1	14	AM	third	night	NaN
75	75	AAAAAAAAMEAAAAAA	75	1	15	AM	third	night	NaN
76	76	AAAAAAAANEAAAAAA	76	1	16	AM	third	night	NaN
77	77	AAAAAAAAOEAAAAAA	77	1	17	AM	third	night	NaN
78	78	AAAAAAAAPEAAAAAA	78	1	18	AM	third	night	NaN
79	79	AAAAAAAAAFAAAAAA	79	1	19	AM	third	night	NaN
80	80	AAAAAAAABFAAAAAA	80	1	20	AM	third	night	NaN
81	81	AAAAAAAACFAAAAAA	81	1	21	AM	third	night	NaN
82	82	AAAAAAAADFAAAAAA	82	1	22	AM	third	night	NaN
83	83	AAAAAAAAEFAAAAAA	83	1	23	AM	third	night	NaN
84	84	AAAAAAAAFFAAAAAA	84	1	24	AM	third	night	NaN
85	85	AAAAAAAAGFAAAAAA	85	1	25	AM	third	night	NaN
86	86	AAAAAAAAHFAAAAAA	86	1	26	AM	third	night	NaN
87	87	AAAAAAAAIFAAAAAA	87	1	27	AM	third	night	NaN
88	88	AAAAAAAAJFAAAAAA	88	1	28	AM	third	night	NaN
89	89	AAAAAAAAKFAAAAAA	89	1	29	AM	third	night	NaN
90	90	AAAAAAAALFAAAAAA	90	1	30	AM	third	night	NaN
91	91	AAAAAAAAMFAAAAAA	91	1	31	AM	third	night	NaN
92	92	AAAAAAAANFAAAAAA	92	1	32	AM	third	night	NaN
93	93	AAAAAAAAOFAAAAAA	93	1	33	AM	third	night	NaN
94	94	AAAAAAAAPFAAAAAA	94	1	34	AM	third	night	NaN
95	95	AAAAAAAAAGAAAAAA	95	1	35	AM	third	night	NaN
96	96	AAAAAAAABGAAAAAA	96	1	36	AM	third	night	NaN
97	97	AAAAAAAACGAAAAAA	97	1	37	AM	third	night	NaN
98	98	AAAAAAAADGAAAAAA	98	1	38	AM	third	night	NaN

warehouse (first 100 rows)

	W_WAREHOUSE_SK	W_WAREHOUSE_ID	W_WAREHOUSE_NAME	W_WAREHOUSE_SQ_FT	W_STREET_NUMBER	W_STREET_NAME	W_STREET_TYPE	W_SUITE_NUMBER	W_CITY	W_COUNTY	W_STATE	W_ZIP	W_COUNTRY	W_GMT_OFFSET
0	1	AAAAAAAABAAAAAAA	Conventional childr	977787	651	6th	Parkway	Suite 470	Midway	Williamson County	TN	31904	United States	-5

web_page (first 100 rows)

	WP_WEB_PAGE_SK	WP_WEB_PAGE_ID	WP_REC_START_DATE	WP_REC_END_DATE	WP_CREATION_DATE_SK	WP_ACCESS_DATE_SK	WP_AUTOGEN_FLAG	WP_CUSTOMER_SK	WP_URL	WP_TYPE	WP_CHAR_COUNT	WP_LINK_COUNT	WP_IMAGE_COUNT	WP_MAX_AD_COUNT
0	1	AAAAAAAABAAAAAAA	1997-09-03	None	2450810	2452620	Y	539.0	http://www.foo.com	welcome	2531	8	3	4
1	2	AAAAAAAACAAAAAAA	1997-09-03	2000-09-02	2450814	2452580	N	NaN	http://www.foo.com	protected	1564	4	3	1

web_returns (first 100 rows)

	WR_RETURNED_DATE_SK	WR_RETURNED_TIME_SK	WR_ITEM_SK	WR_REFUNDED_CUSTOMER_SK	WR_REFUNDED_CDEMO_SK	WR_REFUNDED_HDEMO_SK	WR_REFUNDED_ADDR_SK	WR_RETURNING_CUSTOMER_SK	WR_RETURNING_CDEMO_SK	WR_RETURNING_HDEMO_SK	WR_RETURNING_ADDR_SK	WR_WEB_PAGE_SK	WR_REASON_SK	WR_ORDER_NUMBER	WR_RETURN_QUANTITY	WR_RETURN_AMT	WR_RETURN_TAX	WR_RETURN_AMT_INC_TAX	WR_FEE	WR_RETURN_SHIP_COST	WR_REFUNDED_CASH	WR_REVERSED_CHARGE	WR_ACCOUNT_CREDIT	WR_NET_LOSS
0	2451653.0	7022.0	1750	224.0	1011635.0	3446.0	57.0	224.0	1011635.0	3446.0	57.0	1.0	1.0	1	10.0	698.20	13.96	712.16	18.63	820.30	300.22	382.06	15.92	852.89
1	2451627.0	64915.0	925	811.0	18405.0	199.0	793.0	811.0	18405.0	199.0	793.0	1.0	1.0	1	47.0	1248.79	49.95	1298.74	61.81	709.23	262.24	128.25	858.30	820.99
2	2452798.0	NaN	1455	NaN	31639.0	NaN	790.0	NaN	31639.0	2038.0	790.0	NaN	1.0	2	11.0	NaN	25.52	NaN	NaN	16.72	NaN	16.36	165.47	NaN
3	2452243.0	23325.0	735	687.0	663037.0	1234.0	984.0	687.0	663037.0	1234.0	984.0	1.0	1.0	5	33.0	1820.94	54.62	1875.56	70.16	1000.23	1802.73	14.56	3.65	1125.01
4	2452305.0	73981.0	1909	552.0	1104998.0	2244.0	90.0	552.0	1104998.0	2244.0	90.0	1.0	1.0	5	18.0	82.08	7.38	89.46	35.63	1342.26	38.57	19.14	24.37	1385.27
5	2451288.0	74891.0	1897	650.0	1309189.0	128.0	420.0	650.0	1309189.0	128.0	420.0	1.0	1.0	7	16.0	1956.00	156.48	2112.48	22.56	221.76	215.16	504.84	1236.00	400.80
6	2451337.0	44242.0	469	377.0	1291615.0	653.0	891.0	377.0	1291615.0	653.0	891.0	1.0	1.0	7	3.0	134.40	0.00	134.40	78.06	108.78	108.86	15.06	10.48	186.84
7	2451278.0	48347.0	542	887.0	1781163.0	3486.0	762.0	887.0	1781163.0	3486.0	762.0	2.0	1.0	7	43.0	520.30	20.81	541.11	54.02	3468.38	504.69	14.36	1.25	3543.21
8	2452098.0	72741.0	109	559.0	1010209.0	2812.0	415.0	559.0	1010209.0	2812.0	415.0	1.0	1.0	10	4.0	79.68	2.39	82.07	11.40	54.52	58.16	1.50	20.02	68.31
9	2452065.0	46137.0	629	204.0	217410.0	1416.0	222.0	204.0	217410.0	1416.0	222.0	1.0	1.0	11	28.0	707.00	28.28	735.28	16.84	382.20	424.20	248.86	33.94	427.32
10	2451936.0	25850.0	1364	623.0	1546796.0	816.0	389.0	623.0	1546796.0	816.0	389.0	1.0	1.0	11	6.0	708.66	21.25	729.91	25.19	146.10	474.80	144.99	88.87	192.54
11	2452508.0	71077.0	925	10.0	1589848.0	6933.0	371.0	10.0	1589848.0	6933.0	371.0	1.0	1.0	12	26.0	528.84	37.01	565.85	90.97	237.12	449.51	23.00	56.33	365.10
12	2451590.0	30553.0	1928	36.0	1376937.0	2285.0	586.0	36.0	1376937.0	2285.0	586.0	1.0	1.0	13	16.0	417.60	25.05	442.65	22.13	539.36	50.11	128.62	238.87	586.54
13	2452495.0	NaN	907	758.0	NaN	2243.0	NaN	758.0	1696824.0	NaN	NaN	1.0	NaN	14	4.0	NaN	NaN	NaN	11.84	NaN	9.39	NaN	NaN	NaN
14	2452566.0	67292.0	1583	337.0	970065.0	593.0	321.0	337.0	970065.0	593.0	321.0	1.0	1.0	14	5.0	219.85	15.38	235.23	28.94	233.90	147.29	42.81	29.75	278.22
15	NaN	NaN	926	NaN	NaN	2358.0	NaN	932.0	418645.0	NaN	NaN	NaN	NaN	15	24.0	NaN	NaN	NaN	54.71	62.40	NaN	129.49	60.94	143.37
16	2452567.0	26030.0	1675	543.0	1118206.0	6669.0	732.0	543.0	1118206.0	6669.0	732.0	1.0	1.0	16	40.0	1479.60	103.57	1583.17	4.99	856.80	665.82	219.72	594.06	965.36
17	2452569.0	29129.0	1879	888.0	217580.0	5919.0	658.0	888.0	217580.0	5919.0	658.0	1.0	1.0	17	10.0	69.00	6.21	75.21	60.35	19.70	31.05	11.38	26.57	86.26
18	2451692.0	37442.0	200	623.0	1176118.0	1613.0	108.0	623.0	1176118.0	1613.0	108.0	1.0	1.0	18	11.0	1628.66	32.57	1661.23	13.11	506.22	1237.78	355.70	35.18	551.90
19	2451495.0	70505.0	793	84.0	1360384.0	4437.0	537.0	84.0	1360384.0	4437.0	537.0	1.0	1.0	18	23.0	447.58	17.90	465.48	30.56	302.22	331.20	51.20	65.18	350.68
20	2451396.0	74839.0	364	NaN	NaN	NaN	NaN	767.0	NaN	3439.0	775.0	NaN	1.0	22	NaN	NaN	0.00	NaN	NaN	75.90	485.00	NaN	NaN	NaN
21	2451271.0	72837.0	188	141.0	718131.0	2368.0	405.0	141.0	718131.0	2368.0	405.0	2.0	1.0	22	30.0	247.20	9.88	257.08	23.57	717.30	229.89	15.05	2.26	750.75
22	2451430.0	NaN	313	764.0	NaN	NaN	NaN	764.0	1060754.0	5497.0	NaN	NaN	1.0	22	79.0	NaN	0.00	0.00	92.68	NaN	NaN	0.00	0.00	NaN
23	2452236.0	23926.0	997	618.0	8492.0	4766.0	440.0	618.0	8492.0	4766.0	440.0	1.0	1.0	24	9.0	107.46	3.22	110.68	54.67	33.03	33.31	68.21	5.94	90.92
24	2452273.0	38436.0	1815	71.0	1421648.0	5454.0	396.0	71.0	1421648.0	5454.0	396.0	1.0	1.0	24	8.0	252.08	15.12	267.20	62.43	12.72	133.60	29.62	88.86	90.27
25	2451372.0	50248.0	724	691.0	813091.0	5891.0	91.0	691.0	813091.0	5891.0	91.0	1.0	1.0	26	77.0	1088.78	43.55	1132.33	1.05	3811.50	163.31	397.95	527.52	3856.10
26	2451514.0	46416.0	1688	970.0	854030.0	2690.0	550.0	970.0	854030.0	2690.0	550.0	1.0	1.0	26	10.0	362.50	3.62	366.12	68.99	164.80	290.00	60.17	12.33	237.41
27	2451529.0	45968.0	500	943.0	58420.0	2297.0	421.0	943.0	58420.0	2297.0	421.0	1.0	1.0	26	35.0	340.20	13.60	353.80	50.62	453.60	336.79	2.25	1.16	517.82
28	2450982.0	37442.0	367	331.0	1565742.0	5600.0	258.0	331.0	1565742.0	5600.0	258.0	1.0	1.0	27	4.0	19.20	1.72	20.92	63.20	41.36	4.60	10.22	4.38	106.28
29	2450976.0	42382.0	274	968.0	169725.0	1529.0	286.0	968.0	169725.0	1529.0	286.0	1.0	1.0	27	11.0	380.49	15.21	395.70	76.70	77.66	144.58	11.79	224.12	169.57
30	2452492.0	36787.0	875	839.0	1060269.0	5299.0	82.0	839.0	1060269.0	5299.0	82.0	1.0	1.0	29	11.0	400.84	20.04	420.88	16.27	99.11	308.64	18.44	73.76	135.42
31	2451423.0	75368.0	1612	553.0	1687614.0	2228.0	289.0	553.0	1687614.0	2228.0	289.0	1.0	1.0	30	19.0	168.15	3.36	171.51	94.69	107.54	117.70	42.88	7.57	205.59
32	2451476.0	48229.0	80	962.0	12631.0	2900.0	369.0	962.0	12631.0	2900.0	369.0	1.0	1.0	30	5.0	18.20	0.54	18.74	11.66	8.25	2.54	5.79	9.87	20.45
33	NaN	43497.0	422	NaN	1006429.0	3340.0	251.0	318.0	1006429.0	3340.0	NaN	NaN	NaN	32	7.0	470.26	NaN	484.36	99.14	NaN	470.26	0.00	NaN	NaN
34	2451486.0	253.0	1078	754.0	998787.0	3867.0	347.0	754.0	998787.0	3867.0	347.0	1.0	1.0	32	2.0	98.40	8.85	107.25	16.33	131.22	51.16	27.87	19.37	156.40
35	2451420.0	61938.0	1816	841.0	1808855.0	5916.0	330.0	841.0	1808855.0	5916.0	330.0	1.0	1.0	32	44.0	4496.36	314.74	4811.10	5.38	1570.80	4316.50	151.08	28.78	1890.92
36	2451622.0	68694.0	1327	758.0	1477303.0	5095.0	440.0	758.0	1477303.0	5095.0	440.0	1.0	1.0	33	5.0	1231.20	24.62	1255.82	13.24	580.20	295.48	823.43	112.29	618.06
37	2451734.0	55182.0	346	341.0	914970.0	5999.0	428.0	341.0	914970.0	5999.0	428.0	1.0	1.0	33	7.0	88.34	5.30	93.64	24.45	109.27	6.18	6.57	75.59	139.02
38	2451697.0	47575.0	1963	237.0	1089705.0	4773.0	841.0	237.0	1089705.0	4773.0	841.0	1.0	1.0	33	3.0	164.85	1.64	166.49	3.49	57.06	6.59	137.68	20.58	62.19
39	2451615.0	73881.0	1663	870.0	705124.0	5978.0	32.0	870.0	705124.0	5978.0	32.0	2.0	1.0	34	32.0	4588.16	183.52	4771.68	51.92	2136.96	917.63	3523.70	146.83	2372.40
40	2452120.0	67792.0	1789	39.0	1600609.0	4132.0	502.0	39.0	1600609.0	4132.0	502.0	2.0	1.0	36	16.0	496.96	34.78	531.74	71.96	773.12	134.17	261.20	101.59	879.86
41	2452135.0	32975.0	997	233.0	680344.0	3655.0	766.0	233.0	680344.0	3655.0	766.0	2.0	1.0	36	33.0	1560.57	0.00	1560.57	73.33	845.46	1201.63	326.63	32.31	918.79
42	2452038.0	60285.0	1243	96.0	1039516.0	6936.0	109.0	96.0	1039516.0	6936.0	109.0	2.0	1.0	36	91.0	15813.07	632.52	16445.59	65.73	8008.91	13441.10	1352.02	1019.95	8707.16
43	2451873.0	61736.0	823	984.0	1914824.0	7017.0	257.0	984.0	1914824.0	7017.0	257.0	2.0	1.0	38	54.0	2243.70	179.49	2423.19	60.32	1075.68	628.23	1373.14	242.33	1315.49
44	2451812.0	17353.0	1601	13.0	691848.0	1836.0	624.0	13.0	691848.0	1836.0	624.0	1.0	1.0	38	11.0	15.18	0.00	15.18	42.63	5.50	9.71	1.53	3.94	48.13
45	2452054.0	39091.0	1411	582.0	1892903.0	2624.0	392.0	582.0	1892903.0	2624.0	392.0	1.0	1.0	39	27.0	3078.54	30.78	3109.32	79.71	1835.19	1015.91	453.77	1608.86	1945.68
46	2452413.0	27263.0	671	730.0	781278.0	1291.0	963.0	730.0	781278.0	1291.0	963.0	1.0	1.0	40	13.0	1286.22	51.44	1337.66	97.11	95.16	424.45	17.23	844.54	243.71
47	2452476.0	28293.0	1929	777.0	803717.0	3657.0	150.0	777.0	803717.0	3657.0	150.0	2.0	1.0	40	9.0	103.32	1.03	104.35	31.68	2.79	76.45	7.25	19.62	35.50
48	2451905.0	55597.0	1441	775.0	962709.0	43.0	624.0	775.0	962709.0	43.0	624.0	2.0	1.0	41	56.0	4452.00	311.64	4763.64	63.92	3368.96	1958.88	797.79	1695.33	3744.52
49	2451845.0	42388.0	104	546.0	1391011.0	5229.0	847.0	546.0	1391011.0	5229.0	847.0	1.0	1.0	41	29.0	1387.36	69.36	1456.72	14.34	818.67	194.23	608.49	584.64	902.37
50	2451261.0	73439.0	1195	NaN	NaN	NaN	964.0	NaN	NaN	NaN	964.0	1.0	NaN	42	NaN	NaN	NaN	NaN	58.60	192.76	80.02	54.48	39.46	NaN
51	2452078.0	22372.0	643	386.0	435559.0	2685.0	258.0	386.0	435559.0	2685.0	258.0	2.0	1.0	43	58.0	4257.20	85.14	4342.34	99.74	1530.04	2469.17	1609.22	178.81	1714.92
52	2451335.0	79473.0	1706	442.0	1432457.0	2425.0	840.0	442.0	1432457.0	2425.0	840.0	1.0	1.0	44	13.0	45.63	3.65	49.28	49.66	0.00	39.24	1.53	4.86	53.31
53	2451441.0	11487.0	1021	405.0	1361990.0	4975.0	407.0	405.0	1361990.0	4975.0	407.0	1.0	1.0	45	43.0	4438.89	133.16	4572.05	83.51	466.98	532.66	2187.48	1718.75	683.65
54	2452105.0	59457.0	979	913.0	1423984.0	4102.0	373.0	913.0	1423984.0	4102.0	373.0	2.0	1.0	46	61.0	704.55	49.31	753.86	33.45	3012.79	295.91	302.39	106.25	3095.55
55	2451677.0	33194.0	1975	918.0	1366834.0	2750.0	819.0	918.0	1366834.0	2750.0	819.0	2.0	1.0	48	9.0	216.81	17.34	234.15	19.81	45.63	21.68	35.12	160.01	82.78
56	2452561.0	35610.0	918	81.0	788648.0	5815.0	582.0	81.0	788648.0	5815.0	582.0	2.0	1.0	49	79.0	10628.66	744.00	11372.66	88.50	2361.31	8502.92	1658.07	467.67	3193.81
57	2452060.0	60418.0	1241	908.0	793212.0	2516.0	620.0	908.0	793212.0	2516.0	620.0	1.0	1.0	51	9.0	355.32	10.65	365.97	99.51	193.77	309.12	6.00	40.20	303.93
58	2452077.0	13035.0	923	668.0	1078154.0	4240.0	373.0	668.0	1078154.0	4240.0	373.0	1.0	1.0	51	58.0	6574.88	460.24	7035.12	57.17	3221.32	1380.72	4051.44	1142.72	3738.73
59	NaN	71745.0	1470	NaN	NaN	2111.0	323.0	NaN	NaN	2111.0	NaN	1.0	1.0	52	NaN	765.16	NaN	834.02	32.04	229.40	NaN	215.16	351.06	330.30
60	2451900.0	32899.0	1283	971.0	1300813.0	208.0	250.0	971.0	1300813.0	208.0	250.0	1.0	1.0	53	2.0	97.88	1.95	99.83	22.48	13.64	80.26	5.46	12.16	38.07
61	2451958.0	26993.0	782	631.0	1375925.0	1419.0	466.0	631.0	1375925.0	1419.0	466.0	1.0	1.0	53	13.0	1368.77	82.12	1450.89	88.01	727.09	191.62	235.43	941.72	897.22
62	NaN	NaN	79	NaN	NaN	6738.0	460.0	NaN	1500216.0	NaN	NaN	1.0	1.0	55	7.0	70.70	4.94	NaN	38.47	NaN	42.42	4.24	NaN	71.20
63	NaN	NaN	874	NaN	NaN	NaN	NaN	199.0	NaN	NaN	7.0	1.0	1.0	56	NaN	1717.20	154.54	1871.74	3.62	356.40	NaN	NaN	NaN	NaN
64	2451384.0	77186.0	50	380.0	1708805.0	5983.0	608.0	380.0	1708805.0	5983.0	608.0	2.0	1.0	57	19.0	2002.03	120.12	2122.15	71.12	302.10	1301.31	119.12	581.60	493.34
65	2451443.0	45709.0	1165	800.0	1777124.0	1248.0	619.0	800.0	1777124.0	1248.0	619.0	1.0	1.0	58	9.0	740.34	22.21	762.55	37.92	174.78	222.10	67.37	450.87	234.91
66	2451759.0	67735.0	1687	138.0	821188.0	5885.0	135.0	138.0	821188.0	5885.0	135.0	2.0	1.0	59	26.0	789.36	71.04	860.40	6.20	134.94	149.97	421.99	217.40	212.18
67	2451560.0	59013.0	1712	883.0	539803.0	6923.0	843.0	883.0	539803.0	6923.0	843.0	1.0	1.0	63	31.0	191.58	3.83	195.41	1.63	739.35	42.14	127.02	22.42	744.81
68	NaN	NaN	158	670.0	103015.0	NaN	NaN	NaN	103015.0	2160.0	705.0	NaN	NaN	64	36.0	1086.12	32.58	1118.70	4.75	NaN	NaN	NaN	543.61	NaN
69	2451547.0	32382.0	1507	101.0	99551.0	3001.0	251.0	101.0	99551.0	3001.0	251.0	2.0	1.0	66	7.0	368.97	0.00	368.97	48.34	12.81	99.62	37.70	231.65	61.15
70	2452027.0	26463.0	85	973.0	277684.0	1748.0	259.0	973.0	277684.0	1748.0	259.0	1.0	1.0	69	57.0	5985.57	359.13	6344.70	89.65	1056.21	2394.22	2944.90	646.45	1504.99
71	2452341.0	68091.0	1985	911.0	1511560.0	5409.0	658.0	911.0	1511560.0	5409.0	658.0	2.0	1.0	72	20.0	3750.00	187.50	3937.50	62.87	742.20	187.50	1959.37	1603.13	992.57
72	2452196.0	78918.0	1673	224.0	1559926.0	6228.0	130.0	224.0	1559926.0	6228.0	130.0	1.0	1.0	72	2.0	72.30	4.33	76.63	96.96	24.44	65.79	5.46	1.05	125.73
73	2452538.0	5244.0	821	195.0	94659.0	276.0	493.0	195.0	94659.0	276.0	493.0	1.0	1.0	73	4.0	208.84	0.00	208.84	90.81	202.68	154.54	19.00	35.30	293.49
74	2452648.0	69373.0	91	326.0	571505.0	5084.0	663.0	326.0	571505.0	5084.0	663.0	1.0	1.0	75	35.0	2668.05	80.04	2748.09	62.33	361.20	1414.06	463.97	790.02	503.57
75	2452670.0	41829.0	1035	961.0	4573.0	4185.0	397.0	961.0	4573.0	4185.0	397.0	2.0	1.0	75	23.0	1807.80	0.00	1807.80	14.00	766.36	379.63	1142.53	285.64	780.36
76	2451916.0	34658.0	1189	828.0	990174.0	2720.0	666.0	828.0	990174.0	2720.0	666.0	2.0	1.0	76	72.0	2581.92	77.45	2659.37	20.09	5286.96	568.02	2013.90	0.00	5384.50
77	2451616.0	51966.0	328	626.0	1703073.0	4720.0	567.0	626.0	1703073.0	4720.0	567.0	2.0	1.0	77	8.0	25.28	0.75	26.03	61.93	0.00	11.12	12.17	1.99	62.68
78	NaN	NaN	895	99.0	NaN	6659.0	NaN	99.0	1634079.0	NaN	NaN	NaN	NaN	77	NaN	1934.50	NaN	NaN	45.51	NaN	NaN	NaN	NaN	838.39
79	2451617.0	28361.0	244	939.0	1603349.0	4959.0	369.0	939.0	1603349.0	4959.0	369.0	2.0	1.0	79	21.0	919.59	18.39	937.98	21.38	509.04	478.18	8.82	432.59	548.81
80	2451871.0	54886.0	1723	537.0	1097050.0	610.0	523.0	537.0	1097050.0	610.0	523.0	1.0	1.0	79	33.0	606.87	36.41	643.28	32.97	290.73	54.61	276.13	276.13	360.11
81	2451726.0	26757.0	524	212.0	1794817.0	4822.0	674.0	212.0	1794817.0	4822.0	674.0	2.0	1.0	81	17.0	371.28	29.70	400.98	28.14	85.68	226.48	50.68	94.12	143.52
82	2452486.0	46513.0	573	862.0	897323.0	1384.0	245.0	862.0	897323.0	1384.0	245.0	1.0	1.0	83	20.0	104.00	0.00	104.00	21.18	333.00	86.32	9.19	8.49	354.18
83	2452557.0	65926.0	681	87.0	1208787.0	7087.0	34.0	87.0	1208787.0	7087.0	34.0	2.0	1.0	83	29.0	300.15	0.00	300.15	44.01	2552.00	168.08	109.61	22.46	2596.01
84	2451280.0	25318.0	1318	396.0	1857247.0	3251.0	702.0	396.0	1857247.0	3251.0	702.0	2.0	1.0	84	2.0	96.36	3.85	100.21	85.73	33.88	30.83	43.90	21.63	123.46
85	2451393.0	62509.0	1954	660.0	1078409.0	3158.0	707.0	660.0	1078409.0	3158.0	707.0	2.0	1.0	84	18.0	265.50	2.65	268.15	49.10	165.24	45.13	103.57	116.80	216.99
86	2452735.0	NaN	1633	6.0	533478.0	2797.0	NaN	6.0	533478.0	NaN	469.0	NaN	NaN	85	NaN	20.20	NaN	NaN	NaN	15.50	19.59	NaN	NaN	102.28
87	2452663.0	51913.0	276	493.0	1729053.0	5813.0	973.0	493.0	1729053.0	5813.0	973.0	2.0	1.0	85	34.0	567.80	5.67	573.47	72.34	1817.30	22.71	196.23	348.86	1895.31
88	2451723.0	72393.0	448	324.0	159786.0	601.0	216.0	324.0	159786.0	601.0	216.0	1.0	1.0	86	16.0	56.48	0.00	56.48	78.57	53.60	46.31	2.64	7.53	132.17
89	2451599.0	60380.0	926	909.0	361910.0	864.0	65.0	909.0	361910.0	864.0	65.0	2.0	1.0	86	22.0	3938.88	157.55	4096.43	78.70	1140.04	590.83	1941.86	1406.19	1376.29
90	2452181.0	69772.0	1235	789.0	1625335.0	281.0	27.0	789.0	1625335.0	281.0	27.0	1.0	1.0	87	11.0	1976.59	39.53	2016.12	74.21	951.61	316.25	1278.46	381.88	1065.35
91	NaN	67250.0	187	NaN	254698.0	NaN	424.0	NaN	254698.0	NaN	NaN	NaN	1.0	91	NaN	NaN	89.14	1079.59	NaN	NaN	NaN	NaN	2.98	NaN
92	2452382.0	45230.0	1065	884.0	1353432.0	7180.0	328.0	884.0	1353432.0	7180.0	328.0	2.0	1.0	92	15.0	54.30	1.62	55.92	48.55	37.95	53.21	1.07	0.02	88.12
93	2452555.0	53480.0	1305	174.0	1417259.0	6897.0	535.0	174.0	1417259.0	6897.0	535.0	1.0	1.0	92	18.0	1303.56	117.32	1420.88	71.91	477.90	404.10	638.61	260.85	667.13
94	2452790.0	34442.0	1896	372.0	463802.0	4985.0	815.0	372.0	463802.0	4985.0	815.0	2.0	1.0	93	21.0	1923.81	115.42	2039.23	57.75	72.03	1365.90	530.01	27.90	245.20
95	2452775.0	70628.0	661	176.0	1018443.0	4910.0	377.0	176.0	1018443.0	4910.0	377.0	2.0	1.0	93	88.0	11567.60	115.67	11683.27	84.79	5192.88	4280.01	1967.64	5319.95	5393.34
96	2452056.0	77444.0	569	134.0	701863.0	3839.0	768.0	134.0	701863.0	3839.0	768.0	2.0	1.0	95	11.0	1553.64	124.29	1677.93	50.63	493.46	450.55	573.60	529.49	668.38
97	NaN	NaN	715	NaN	253586.0	7137.0	935.0	788.0	253586.0	NaN	935.0	NaN	1.0	96	NaN	NaN	NaN	NaN	NaN	NaN	175.30	10.67	NaN	NaN
98	2452085.0	44364.0	791	385.0	1635385.0	3585.0	385.0	385.0	1635385.0	3585.0	385.0	2.0	1.0	98	44.0	96.80	6.77	103.57	87.44	549.56	90.02	2.23	4.55	643.77

web_sales (first 100 rows)

	WS_SOLD_DATE_SK	WS_SOLD_TIME_SK	WS_SHIP_DATE_SK	WS_ITEM_SK	WS_BILL_CUSTOMER_SK	WS_BILL_CDEMO_SK	WS_BILL_HDEMO_SK	WS_BILL_ADDR_SK	WS_SHIP_CUSTOMER_SK	WS_SHIP_CDEMO_SK	WS_SHIP_HDEMO_SK	WS_SHIP_ADDR_SK	WS_WEB_PAGE_SK	WS_WEB_SITE_SK	WS_SHIP_MODE_SK	WS_WAREHOUSE_SK	WS_PROMO_SK	WS_ORDER_NUMBER	WS_QUANTITY	WS_WHOLESALE_COST	WS_LIST_PRICE	WS_SALES_PRICE	WS_EXT_DISCOUNT_AMT	WS_EXT_SALES_PRICE	WS_EXT_WHOLESALE_COST	WS_EXT_LIST_PRICE	WS_EXT_TAX	WS_COUPON_AMT	WS_EXT_SHIP_COST	WS_NET_PAID	WS_NET_PAID_INC_TAX	WS_NET_PAID_INC_SHIP	WS_NET_PAID_INC_SHIP_TAX	WS_NET_PROFIT
0	2451383	73313	2451482	1819	74	596485	1096	907	919	41329	1140	351	2	1	4	1	3	1	57	33.59	59.45	38.04	1220.37	2168.28	1914.63	3388.65	50.95	1149.18	575.70	1019.10	1070.05	1594.80	1645.75	-895.53
1	2451383	73313	2451411	1850	74	596485	1096	907	919	41329	1140	351	1	1	3	1	1	1	38	29.83	48.92	26.41	855.38	1003.58	1133.54	1858.96	30.10	0.00	910.86	1003.58	1033.68	1914.44	1944.54	-129.96
2	2451383	73313	2451413	805	74	596485	1096	907	919	41329	1140	351	2	1	10	1	3	1	32	49.72	107.89	97.10	345.28	3107.20	1591.04	3452.48	124.28	0.00	828.48	3107.20	3231.48	3935.68	4059.96	1516.16
3	2451383	73313	2451393	409	74	596485	1096	907	919	41329	1140	351	2	2	6	1	3	1	65	69.18	112.07	22.41	5827.90	1456.65	4496.70	7284.55	29.13	0.00	2476.50	1456.65	1485.78	3933.15	3962.28	-3040.05
4	2451383	73313	2451502	169	74	596485	1096	907	919	41329	1140	351	1	2	2	1	3	1	58	36.62	41.38	16.13	1464.50	935.54	2123.96	2400.04	84.19	0.00	167.62	935.54	1019.73	1103.16	1187.35	-1188.42
5	2451383	73313	2451421	1564	74	596485	1096	907	919	41329	1140	351	2	2	2	1	2	1	90	72.05	161.39	27.43	12056.40	2468.70	6484.50	14525.10	74.06	0.00	4647.60	2468.70	2542.76	7116.30	7190.36	-4015.80
6	2451383	73313	2451457	1750	74	596485	1096	907	919	41329	1140	351	1	2	16	1	2	1	15	83.92	174.55	69.82	1570.95	1047.30	1258.80	2618.25	20.94	0.00	392.70	1047.30	1068.24	1440.00	1460.94	-211.50
7	2451383	73313	2451430	1873	74	596485	1096	907	919	41329	1140	351	1	2	14	1	1	1	16	45.27	128.56	68.13	966.88	1090.08	724.32	2056.96	87.20	0.00	370.24	1090.08	1177.28	1460.32	1547.52	365.76
8	2451383	73313	2451458	925	74	596485	1096	907	919	41329	1140	351	1	2	8	1	1	1	54	53.45	60.39	26.57	1826.28	1434.78	2886.30	3261.06	48.78	215.21	488.70	1219.57	1268.35	1708.27	1757.05	-1666.73
9	2452625	34964	2452702	451	296	436090	2684	278	428	1487225	3907	901	1	1	16	1	3	2	47	49.64	68.99	12.41	2659.26	583.27	2333.08	3242.53	52.49	0.00	1134.58	583.27	635.76	1717.85	1770.34	-1749.81
10	2452625	34964	2452638	1477	296	436090	2684	278	428	1487225	3907	901	1	1	16	1	2	2	12	7.24	12.16	11.91	3.00	142.92	86.88	145.92	10.00	0.00	29.16	142.92	152.92	172.08	182.08	56.04
11	2452625	34964	2452645	1737	296	436090	2684	278	428	1487225	3907	901	2	1	7	1	3	2	6	45.21	67.36	30.31	222.30	181.86	271.26	404.16	16.36	0.00	185.88	181.86	198.22	367.74	384.10	-89.40
12	2452625	34964	2452690	1794	296	436090	2684	278	428	1487225	3907	901	1	2	3	1	3	2	43	9.62	13.08	9.02	174.58	387.86	413.66	562.44	19.39	0.00	117.82	387.86	407.25	505.68	525.07	-25.80
13	2452625	34964	2452707	690	296	436090	2684	278	428	1487225	3907	901	1	2	1	1	1	2	57	35.95	62.55	43.78	1069.89	2495.46	2049.15	3565.35	224.59	0.00	962.16	2495.46	2720.05	3457.62	3682.21	446.31
14	2452625	34964	2452640	1455	296	436090	2684	278	428	1487225	3907	901	1	2	6	1	3	2	93	65.80	152.65	29.00	11499.45	2697.00	6119.40	14196.45	215.76	0.00	7097.76	2697.00	2912.76	9794.76	10010.52	-3422.40
15	2452625	34964	2452634	1824	296	436090	2684	278	428	1487225	3907	901	1	2	18	1	3	2	93	55.42	127.46	1.27	11735.67	118.11	5154.06	11853.78	4.72	0.00	1421.97	118.11	122.83	1540.08	1544.80	-5035.95
16	2452625	34964	2452734	156	296	436090	2684	278	428	1487225	3907	901	1	2	3	1	1	2	82	48.65	91.94	8.27	6860.94	678.14	3989.30	7539.08	13.56	0.00	2788.82	678.14	691.70	3466.96	3480.52	-3311.16
17	2452625	34964	2452739	1407	296	436090	2684	278	428	1487225	3907	901	2	1	9	1	3	2	33	80.23	90.65	55.29	1166.88	1824.57	2647.59	2991.45	0.00	0.00	478.50	1824.57	1824.57	2303.07	2303.07	-823.02
18	2451754	1529	2451801	506	800	1219525	3450	375	180	293885	5550	475	1	2	2	1	1	3	65	5.37	10.31	2.06	536.25	133.90	349.05	670.15	7.47	9.37	26.65	124.53	132.00	151.18	158.65	-224.52
19	2451754	1529	2451791	1861	800	1219525	3450	375	180	293885	5550	475	1	2	9	1	1	3	74	74.66	83.61	52.67	2289.56	3897.58	5524.84	6187.14	116.92	0.00	1546.60	3897.58	4014.50	5444.18	5561.10	-1627.26
20	2451754	1529	2451814	637	800	1219525	3450	375	180	293885	5550	475	1	1	3	1	3	3	26	77.15	198.27	109.04	2319.98	2835.04	2005.90	5155.02	36.28	2381.43	206.18	453.61	489.89	659.79	696.07	-1552.29
21	2451754	1529	2451765	965	800	1219525	3450	375	180	293885	5550	475	2	2	3	1	2	3	25	99.00	292.05	262.84	730.25	6571.00	2475.00	7301.25	65.71	0.00	3285.50	6571.00	6636.71	9856.50	9922.21	4096.00
22	2451754	1529	2451855	725	800	1219525	3450	375	180	293885	5550	475	2	2	7	1	1	3	80	14.55	42.34	27.09	1220.00	2167.20	1164.00	3387.20	43.34	0.00	609.60	2167.20	2210.54	2776.80	2820.14	1003.20
23	2451754	1529	2451862	1393	800	1219525	3450	375	180	293885	5550	475	1	2	13	1	2	3	54	64.58	160.80	120.60	2170.80	6512.40	3487.32	8683.20	586.11	0.00	3646.62	6512.40	7098.51	10159.02	10745.13	3025.08
24	2451754	1529	2451809	1355	800	1219525	3450	375	180	293885	5550	475	2	1	20	1	3	3	30	54.81	81.11	22.71	1752.00	681.30	1644.30	2433.30	6.81	0.00	0.00	681.30	688.11	681.30	688.11	-963.00
25	2451754	1529	2451782	452	800	1219525	3450	375	180	293885	5550	475	1	2	6	1	2	3	19	87.13	170.77	155.40	292.03	2952.60	1655.47	3244.63	88.57	0.00	486.59	2952.60	3041.17	3439.19	3527.76	1297.13
26	2451754	1529	2451760	422	800	1219525	3450	375	180	293885	5550	475	1	1	16	1	1	3	29	86.36	90.67	68.90	631.33	1998.10	2504.44	2629.43	159.84	0.00	236.64	1998.10	2157.94	2234.74	2394.58	-506.34
27	2451754	1529	2451812	1721	800	1219525	3450	375	180	293885	5550	475	2	2	4	1	1	3	2	4.21	10.90	0.54	20.72	1.08	8.42	21.80	0.07	0.00	5.88	1.08	1.15	6.96	7.03	-7.34
28	2451754	1529	2451846	1079	800	1219525	3450	375	180	293885	5550	475	1	1	18	1	1	3	42	56.94	107.04	102.75	180.18	4315.50	2391.48	4495.68	43.15	0.00	1708.14	4315.50	4358.65	6023.64	6066.79	1924.02
29	2451754	1529	2451858	1817	800	1219525	3450	375	180	293885	5550	475	2	1	12	1	2	3	91	88.66	242.04	183.95	5286.19	16739.45	8068.06	22025.64	502.18	0.00	0.00	16739.45	17241.63	16739.45	17241.63	8671.39
30	2451754	1529	2451758	1556	800	1219525	3450	375	180	293885	5550	475	2	2	15	1	2	3	10	32.29	45.85	30.71	151.40	307.10	322.90	458.50	0.61	276.39	137.50	30.71	31.32	168.21	168.82	-292.19
31	2451754	1529	2451801	1688	800	1219525	3450	375	180	293885	5550	475	2	1	18	1	2	3	1	66.29	174.34	137.72	36.62	137.72	66.29	174.34	4.62	71.61	45.32	66.11	70.73	111.43	116.05	-0.18
32	2451754	1529	2451763	860	800	1219525	3450	375	180	293885	5550	475	2	2	19	1	2	3	7	66.22	145.68	144.22	10.22	1009.54	463.54	1019.76	80.76	0.00	193.69	1009.54	1090.30	1203.23	1283.99	546.00
33	2451754	1529	2451807	1813	800	1219525	3450	375	180	293885	5550	475	2	2	2	1	2	3	10	87.53	150.55	58.71	918.40	587.10	875.30	1505.50	27.12	135.03	316.10	452.07	479.19	768.17	795.29	-423.23
34	2451483	77832	2451501	985	187	512359	4331	456	757	1249940	2525	697	2	1	11	1	3	4	83	4.36	10.15	4.66	455.67	386.78	361.88	842.45	27.07	0.00	151.06	386.78	413.85	537.84	564.91	24.90
35	2451483	77832	2451554	1714	187	512359	4331	456	757	1249940	2525	697	1	2	4	1	2	4	20	71.90	103.53	85.92	352.20	1718.40	1438.00	2070.60	154.65	0.00	227.60	1718.40	1873.05	1946.00	2100.65	280.40
36	2451483	77832	2451542	1978	187	512359	4331	456	757	1249940	2525	697	2	1	12	1	3	4	26	81.47	126.27	27.77	2561.00	722.02	2118.22	3283.02	50.54	0.00	1411.54	722.02	772.56	2133.56	2184.10	-1396.20
37	2451483	77832	2451563	373	187	512359	4331	456	757	1249940	2525	697	1	2	12	1	2	4	32	30.81	40.05	22.02	576.96	704.64	985.92	1281.60	35.23	0.00	358.72	704.64	739.87	1063.36	1098.59	-281.28
38	2451483	77832	2451593	1778	187	512359	4331	456	757	1249940	2525	697	2	2	2	1	3	4	44	68.96	143.43	61.67	3597.44	2713.48	3034.24	6310.92	135.67	0.00	0.00	2713.48	2849.15	2713.48	2849.15	-320.76
39	2451483	77832	2451487	476	187	512359	4331	456	757	1249940	2525	697	2	1	12	1	3	4	41	6.21	11.92	1.31	435.01	53.71	254.61	488.72	3.75	0.00	190.24	53.71	57.46	243.95	247.70	-200.90
40	2451483	77832	2451487	578	187	512359	4331	456	757	1249940	2525	697	1	1	2	1	1	4	22	71.63	113.89	69.47	977.24	1528.34	1575.86	2505.58	137.55	0.00	1077.34	1528.34	1665.89	2605.68	2743.23	-47.52
41	2451483	77832	2451569	1105	187	512359	4331	456	757	1249940	2525	697	1	1	11	1	1	4	51	43.92	94.86	52.17	2177.19	2660.67	2239.92	4837.86	102.17	106.42	1209.21	2554.25	2656.42	3763.46	3865.63	314.33
42	2451483	77832	2451536	1096	187	512359	4331	456	757	1249940	2525	697	1	2	20	1	3	4	50	15.41	17.41	6.26	557.50	313.00	770.50	870.50	9.20	159.63	330.50	153.37	162.57	483.87	493.07	-617.13
43	2451483	77832	2451521	1460	187	512359	4331	456	757	1249940	2525	697	2	1	6	1	3	4	65	34.29	75.43	18.10	3726.45	1176.50	2228.85	4902.95	70.59	0.00	1176.50	1176.50	1247.09	2353.00	2423.59	-1052.35
44	2451483	77832	2451518	1862	187	512359	4331	456	757	1249940	2525	697	2	1	3	1	3	4	37	35.86	89.29	0.00	3303.73	0.00	1326.82	3303.73	0.00	0.00	1090.02	0.00	0.00	1090.02	1090.02	-1326.82
45	2451945	25492	2451977	1555	395	1553493	1391	89	505	1123302	983	681	2	2	6	1	1	5	57	69.75	192.51	102.03	5157.36	5815.71	3975.75	10973.07	174.47	0.00	2633.40	5815.71	5990.18	8449.11	8623.58	1839.96
46	2451945	25492	2451960	1607	395	1553493	1391	89	505	1123302	983	681	2	2	20	1	3	5	50	42.11	58.95	46.57	619.00	2328.50	2105.50	2947.50	162.99	0.00	58.50	2328.50	2491.49	2387.00	2549.99	223.00
47	2451945	25492	2452011	735	395	1553493	1391	89	505	1123302	983	681	1	1	1	1	2	5	89	70.02	77.72	55.18	2006.06	4911.02	6231.78	6917.08	147.33	0.00	2766.12	4911.02	5058.35	7677.14	7824.47	-1320.76
48	2451945	25492	2451956	1071	395	1553493	1391	89	505	1123302	983	681	1	1	19	1	1	5	69	21.00	24.36	13.64	739.68	941.16	1449.00	1680.84	9.41	0.00	487.14	941.16	950.57	1428.30	1437.71	-507.84
49	2451945	25492	2451954	653	395	1553493	1391	89	505	1123302	983	681	1	2	16	1	1	5	26	26.29	28.65	18.33	268.32	476.58	683.54	744.90	33.36	0.00	186.16	476.58	509.94	662.74	696.10	-206.96
50	2451945	25492	2451949	1759	395	1553493	1391	89	505	1123302	983	681	2	2	9	1	2	5	94	66.79	165.63	66.25	9341.72	6227.50	6278.26	15569.22	560.47	0.00	2491.00	6227.50	6787.97	8718.50	9278.97	-50.76
51	2451945	25492	2452018	323	395	1553493	1391	89	505	1123302	983	681	1	1	14	1	1	5	37	16.03	20.67	0.62	741.85	22.94	593.11	764.79	0.00	0.00	367.04	22.94	22.94	389.98	389.98	-570.17
52	2451945	25492	2452044	339	395	1553493	1391	89	505	1123302	983	681	2	2	10	1	2	5	51	10.48	30.18	23.84	323.34	1215.84	534.48	1539.18	23.58	36.47	122.91	1179.37	1202.95	1302.28	1325.86	644.89
53	2451945	25492	2452046	1379	395	1553493	1391	89	505	1123302	983	681	1	2	8	1	2	5	45	67.42	113.26	41.90	3211.20	1885.50	3033.90	5096.70	56.56	0.00	2497.05	1885.50	1942.06	4382.55	4439.11	-1148.40
54	2451945	25492	2452060	341	395	1553493	1391	89	505	1123302	983	681	2	2	6	1	1	5	3	47.96	84.88	1.69	249.57	5.07	143.88	254.64	0.20	0.00	30.54	5.07	5.27	35.61	35.81	-138.81
55	2451945	25492	2452065	1909	395	1553493	1391	89	505	1123302	983	681	1	2	2	1	3	5	71	68.25	152.19	4.56	10481.73	323.76	4845.75	10805.49	29.13	0.00	648.23	323.76	352.89	971.99	1001.12	-4521.99
56	2451945	25492	2451997	853	395	1553493	1391	89	505	1123302	983	681	2	1	7	1	3	5	57	25.26	42.18	2.53	2260.05	144.21	1439.82	2404.26	8.65	0.00	624.72	144.21	152.86	768.93	777.58	-1295.61
57	2451945	25492	2451977	305	395	1553493	1391	89	505	1123302	983	681	2	1	16	1	2	5	66	66.72	166.80	90.07	5064.18	5944.62	4403.52	11008.80	416.12	0.00	1651.32	5944.62	6360.74	7595.94	8012.06	1541.10
58	2451945	25492	2452005	1701	395	1553493	1391	89	505	1123302	983	681	2	1	9	1	1	5	60	30.82	56.70	29.48	1633.20	1768.80	1849.20	3402.00	0.00	1715.73	475.80	53.07	53.07	528.87	528.87	-1796.13
59	2451945	25492	2452002	115	395	1553493	1391	89	505	1123302	983	681	2	1	7	1	1	5	13	19.64	34.17	17.76	213.33	230.88	255.32	444.21	6.92	0.00	75.40	230.88	237.80	306.28	313.20	-24.44
60	2451945	25492	2451998	591	395	1553493	1391	89	505	1123302	983	681	2	2	7	1	1	5	63	9.36	19.74	16.38	211.68	1031.94	589.68	1243.62	35.39	526.28	522.27	505.66	541.05	1027.93	1063.32	-84.02
61	2451534	69300	2451633	1333	701	202409	1164	472	718	215362	6843	951	2	2	1	1	2	6	12	56.04	96.38	89.63	81.00	1075.56	672.48	1156.56	96.80	0.00	69.36	1075.56	1172.36	1144.92	1241.72	403.08
62	2451534	69300	2451644	127	701	202409	1164	472	718	215362	6843	951	1	1	10	1	3	6	73	36.58	41.70	35.44	456.98	2587.12	2670.34	3044.10	77.61	0.00	1247.57	2587.12	2664.73	3834.69	3912.30	-83.22
63	2451534	69300	2451610	1618	701	202409	1164	472	718	215362	6843	951	2	2	10	1	1	6	91	48.63	65.16	3.25	5633.81	295.75	4425.33	5929.56	2.95	0.00	2489.76	295.75	298.70	2785.51	2788.46	-4129.58
64	2451534	69300	2451651	1063	701	202409	1164	472	718	215362	6843	951	2	1	8	1	3	6	51	42.52	121.60	38.91	4217.19	1984.41	2168.52	6201.60	0.00	754.07	557.94	1230.34	1230.34	1788.28	1788.28	-938.18
65	2451534	69300	2451639	1111	701	202409	1164	472	718	215362	6843	951	1	1	1	1	1	6	1	99.76	206.50	0.00	206.50	0.00	99.76	206.50	0.00	0.00	33.04	0.00	0.00	33.04	33.04	-99.76
66	2451534	69300	2451583	1550	701	202409	1164	472	718	215362	6843	951	1	2	5	1	2	6	83	39.67	47.60	34.74	1067.38	2883.42	3292.61	3950.80	259.50	0.00	1026.71	2883.42	3142.92	3910.13	4169.63	-409.19
67	2451534	69300	2451576	1612	701	202409	1164	472	718	215362	6843	951	1	2	5	1	1	6	63	97.02	121.27	103.07	1146.60	6493.41	6112.26	7640.01	12.98	6233.67	2597.49	259.74	272.72	2857.23	2870.21	-5852.52
68	2451534	69300	2451604	949	701	202409	1164	472	718	215362	6843	951	2	2	2	1	3	6	11	16.62	23.76	2.61	232.65	28.71	182.82	261.36	2.29	0.00	73.15	28.71	31.00	101.86	104.15	-154.11
69	2451178	76807	2451181	1309	271	1161066	3908	303	91	233980	782	777	2	1	10	1	3	7	47	92.35	229.02	114.51	5381.97	5381.97	4340.45	10763.94	53.81	0.00	4843.35	5381.97	5435.78	10225.32	10279.13	1041.52
70	2451178	76807	2451279	1897	271	1161066	3908	303	91	233980	782	777	1	1	4	1	1	7	44	52.52	126.04	122.25	166.76	5379.00	2310.88	5545.76	430.32	0.00	1219.68	5379.00	5809.32	6598.68	7029.00	3068.12
71	2451178	76807	2451240	712	271	1161066	3908	303	91	233980	782	777	2	2	15	1	3	7	87	4.47	4.82	3.85	84.39	334.95	388.89	419.34	30.14	0.00	108.75	334.95	365.09	443.70	473.84	-53.94
72	2451178	76807	2451210	469	271	1161066	3908	303	91	233980	782	777	1	1	3	1	3	7	9	70.18	106.67	44.80	556.83	403.20	631.62	960.03	0.00	249.98	470.34	153.22	153.22	623.56	623.56	-478.40
73	2451178	76807	2451201	404	271	1161066	3908	303	91	233980	782	777	1	2	20	1	2	7	13	49.14	63.88	31.94	415.22	415.22	638.82	830.44	6.56	87.19	215.80	328.03	334.59	543.83	550.39	-310.79
74	2451178	76807	2451287	262	271	1161066	3908	303	91	233980	782	777	1	1	6	1	1	7	52	51.52	79.85	59.08	1080.04	3072.16	2679.04	4152.20	0.00	0.00	2034.24	3072.16	3072.16	5106.40	5106.40	393.12
75	2451178	76807	2451268	442	271	1161066	3908	303	91	233980	782	777	1	2	19	1	3	7	1	64.29	145.93	135.71	10.22	135.71	64.29	145.93	0.00	0.00	72.96	135.71	135.71	208.67	208.67	71.42
76	2451178	76807	2451243	542	271	1161066	3908	303	91	233980	782	777	2	2	20	1	2	7	44	94.24	201.67	12.10	8341.08	532.40	4146.56	8873.48	21.29	0.00	4170.32	532.40	553.69	4702.72	4724.01	-3614.16
77	2452190	51596	2452220	1093	108	1572482	5456	830	825	1895897	5705	479	1	2	19	1	1	8	76	55.63	72.31	54.23	1374.08	4121.48	4227.88	5495.56	82.42	0.00	164.16	4121.48	4203.90	4285.64	4368.06	-106.40
78	2452190	51596	2452307	1233	108	1572482	5456	830	825	1895897	5705	479	1	2	20	1	3	8	33	31.08	66.20	35.74	1005.18	1179.42	1025.64	2184.60	106.14	0.00	633.27	1179.42	1285.56	1812.69	1918.83	153.78
79	2452190	51596	2452216	1603	108	1572482	5456	830	825	1895897	5705	479	1	2	8	1	1	8	55	45.57	83.84	66.23	968.55	3642.65	2506.35	4611.20	218.55	0.00	1383.25	3642.65	3861.20	5025.90	5244.45	1136.30
80	2452190	51596	2452213	1541	108	1572482	5456	830	825	1895897	5705	479	1	1	14	1	1	8	70	34.71	71.50	50.05	1501.50	3503.50	2429.70	5005.00	0.00	0.00	2051.70	3503.50	3503.50	5555.20	5555.20	1073.80
81	2452190	51596	2452242	1245	108	1572482	5456	830	825	1895897	5705	479	2	2	17	1	3	8	10	28.39	67.00	7.37	596.30	73.70	283.90	670.00	1.47	0.00	180.90	73.70	75.17	254.60	256.07	-210.20
82	2452190	51596	2452221	621	108	1572482	5456	830	825	1895897	5705	479	2	1	2	1	1	8	87	88.69	201.32	30.19	14888.31	2626.53	7716.03	17514.84	0.00	0.00	1050.09	2626.53	2626.53	3676.62	3676.62	-5089.50
83	2452190	51596	2452276	163	108	1572482	5456	830	825	1895897	5705	479	1	1	13	1	2	8	22	46.33	81.54	44.84	807.40	986.48	1019.26	1793.88	49.32	0.00	807.18	986.48	1035.80	1793.66	1842.98	-32.78
84	2452190	51596	2452305	849	108	1572482	5456	830	825	1895897	5705	479	1	2	13	1	1	8	96	79.34	204.69	83.92	11593.92	8056.32	7616.64	19650.24	644.50	0.00	392.64	8056.32	8700.82	8448.96	9093.46	439.68
85	2452190	51596	2452267	1225	108	1572482	5456	830	825	1895897	5705	479	1	1	13	1	1	8	91	44.37	108.70	61.95	4254.25	5637.45	4037.67	9891.70	56.37	0.00	197.47	5637.45	5693.82	5834.92	5891.29	1599.78
86	2452190	51596	2452309	1009	108	1572482	5456	830	825	1895897	5705	479	1	2	4	1	2	8	44	70.93	75.18	10.52	2845.04	462.88	3120.92	3307.92	36.66	4.62	1223.64	458.26	494.92	1681.90	1718.56	-2662.66
87	2452190	51596	2452211	253	108	1572482	5456	830	825	1895897	5705	479	2	2	18	1	3	8	33	54.70	140.03	137.22	92.73	4528.26	1805.10	4620.99	90.56	0.00	2079.33	4528.26	4618.82	6607.59	6698.15	2723.16
88	2452190	51596	2452243	1695	108	1572482	5456	830	825	1895897	5705	479	1	1	3	1	1	8	59	25.18	37.01	0.37	2161.76	21.83	1485.62	2183.59	0.74	3.27	567.58	18.56	19.30	586.14	586.88	-1467.06
89	2452190	51596	2452305	617	108	1572482	5456	830	825	1895897	5705	479	1	1	5	1	1	8	64	5.57	7.07	1.83	335.36	117.12	356.48	452.48	0.82	105.40	153.60	11.72	12.54	165.32	166.14	-344.76
90	2452190	51596	2452192	1429	108	1572482	5456	830	825	1895897	5705	479	1	1	11	1	3	8	44	58.29	112.49	22.49	3960.00	989.56	2564.76	4949.56	89.06	0.00	247.28	989.56	1078.62	1236.84	1325.90	-1575.20
91	2452190	51596	2452242	1353	108	1572482	5456	830	825	1895897	5705	479	2	1	17	1	3	8	93	18.56	18.93	3.97	1391.28	369.21	1726.08	1760.49	0.00	0.00	704.01	369.21	369.21	1073.22	1073.22	-1356.87
92	2450900	56256	2450988	302	676	1815460	4197	581	248	1833962	39	23	1	1	10	1	3	9	16	96.14	256.69	10.26	3942.88	164.16	1538.24	4107.04	0.00	0.00	2053.44	164.16	164.16	2217.60	2217.60	-1374.08
93	2450900	56256	2450943	1316	676	1815460	4197	581	248	1833962	39	23	2	1	17	1	3	9	29	76.54	210.48	134.70	2197.62	3906.30	2219.66	6103.92	156.25	0.00	365.98	3906.30	4062.55	4272.28	4428.53	1686.64
94	2450900	56256	2450988	721	676	1815460	4197	581	248	1833962	39	23	2	1	2	1	2	9	75	77.80	126.03	113.42	945.75	8506.50	5835.00	9452.25	58.69	2637.01	2646.00	5869.49	5928.18	8515.49	8574.18	34.49
95	2450900	56256	2451000	824	676	1815460	4197	581	248	1833962	39	23	2	1	11	1	3	9	92	47.71	59.16	33.12	2395.68	3047.04	4389.32	5442.72	60.94	0.00	2012.96	3047.04	3107.98	5060.00	5120.94	-1342.28
96	2450900	56256	2450994	502	676	1815460	4197	581	248	1833962	39	23	1	2	6	1	1	9	30	84.41	243.10	126.41	3500.70	3792.30	2532.30	7293.00	303.38	0.00	802.20	3792.30	4095.68	4594.50	4897.88	1260.00
97	2450900	56256	2450983	1609	676	1815460	4197	581	248	1833962	39	23	2	2	4	1	2	9	94	93.91	145.56	1.45	13546.34	136.30	8827.54	13682.64	8.17	0.00	2325.56	136.30	144.47	2461.86	2470.03	-8691.24
98	2450900	56256	2450902	1165	676	1815460	4197	581	248	1833962	39	23	1	1	13	1	1	9	79	74.37	135.35	102.86	2566.71	8125.94	5875.23	10692.65	162.51	0.00	1496.26	8125.94	8288.45	9622.20	9784.71	2250.71

web_site (first 100 rows)

	WEB_SITE_SK	WEB_SITE_ID	WEB_REC_START_DATE	WEB_REC_END_DATE	WEB_NAME	WEB_OPEN_DATE_SK	WEB_CLOSE_DATE_SK	WEB_CLASS	WEB_MANAGER	WEB_MKT_ID	WEB_MKT_CLASS	WEB_MKT_DESC	WEB_MARKET_MANAGER	WEB_COMPANY_ID	WEB_COMPANY_NAME	WEB_STREET_NUMBER	WEB_STREET_NAME	WEB_STREET_TYPE	WEB_SUITE_NUMBER	WEB_CITY	WEB_COUNTY	WEB_STATE	WEB_ZIP	WEB_COUNTRY	WEB_GMT_OFFSET	WEB_TAX_PERCENTAGE
0	1	AAAAAAAABAAAAAAA	1997-08-16	None	site_0	2450807	NaN	Unknown	Ronald Shaffer	4	Grey lines ought to result indeed centres. Tod	Well similar decisions used to keep hardly democratic, personal priorities.	Joe George	6	cally	51	Dogwood Sunset	Ln	Suite 330	Midway	Williamson County	TN	31904	United States	-5	0.1
1	2	AAAAAAAACAAAAAAA	1997-08-16	2000-08-15	site_0	2450798	2448973.0	Unknown	Tommy Jones	6	Completely excellent things ought to pro	Lucky passengers know. Red details will not hang alive, international s	David Myers	4	ese	358	Ridge Wilson	Cir.	Suite 150	Midway	Williamson County	TN	31904	United States	-5	0.0

Source tables may have typos, unclear names, incorrect column types, etc. We clean these tables.

stg_store (first 100 rows)

	store_id	store_surrogate_key	store_floor_space	company_id	store_country	store_state	store_street_type	store_hours	store_county	market_manager	store_gmt_offset	store_city	store_tax_percentage	employee_count	store_suite_number	store_street_name	store_manager	market_id	division_id	record_end_date	record_start_date	store_close_date	store_street_number	store_zip_code
0	AAAAAAAABAAAAAAA	1	5250760	1	United States	TN	Way	8AM-4PM	Williamson County	Charles Bartley	-5	Midway	0.03	245	Suite 250	Spring	William Ward	2	1	NaT	1997-03-13	2451189.0	767	31904
1	AAAAAAAACAAAAAAA	2	5285950	1	United States	TN	Dr.	8AM-4PM	Williamson County	David Lamontagne	-5	Midway	0.03	236	Suite 410	Sycamore	Scott Smith	8	1	2000-03-12	1997-03-13	NaN	255	31904

stg_store.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"store_renamed" AS (
    -- Rename: Renaming columns
    -- S_STORE_SK -> store_surrogate_key
    -- S_STORE_ID -> store_id
    -- S_REC_START_DATE -> record_start_date
    -- S_REC_END_DATE -> record_end_date
    -- S_CLOSED_DATE_SK -> store_close_date
    -- S_STORE_NAME -> store_name
    -- S_NUMBER_EMPLOYEES -> employee_count
    -- S_FLOOR_SPACE -> store_floor_space
    -- S_HOURS -> store_hours
    -- S_MANAGER -> store_manager
    -- S_MARKET_ID -> market_id
    -- S_GEOGRAPHY_CLASS -> geography_class
    -- S_MARKET_DESC -> market_description
    -- S_MARKET_MANAGER -> market_manager
    -- S_DIVISION_ID -> division_id
    -- S_DIVISION_NAME -> division_name
    -- S_COMPANY_ID -> company_id
    -- S_COMPANY_NAME -> company_name
    -- S_STREET_NUMBER -> store_street_number
    -- S_STREET_NAME -> store_street_name
    -- S_STREET_TYPE -> store_street_type
    -- S_SUITE_NUMBER -> store_suite_number
    -- S_CITY -> store_city
    -- S_COUNTY -> store_county
    -- S_STATE -> store_state
    -- S_ZIP -> store_zip_code
    -- S_COUNTRY -> store_country
    -- S_GMT_OFFSET -> store_gmt_offset
    -- S_TAX_PRECENTAGE -> store_tax_percentage
    SELECT 
        "S_STORE_SK" AS "store_surrogate_key",
        "S_STORE_ID" AS "store_id",
        "S_REC_START_DATE" AS "record_start_date",
        "S_REC_END_DATE" AS "record_end_date",
        "S_CLOSED_DATE_SK" AS "store_close_date",
        "S_STORE_NAME" AS "store_name",
        "S_NUMBER_EMPLOYEES" AS "employee_count",
        "S_FLOOR_SPACE" AS "store_floor_space",
        "S_HOURS" AS "store_hours",
        "S_MANAGER" AS "store_manager",
        "S_MARKET_ID" AS "market_id",
        "S_GEOGRAPHY_CLASS" AS "geography_class",
        "S_MARKET_DESC" AS "market_description",
        "S_MARKET_MANAGER" AS "market_manager",
        "S_DIVISION_ID" AS "division_id",
        "S_DIVISION_NAME" AS "division_name",
        "S_COMPANY_ID" AS "company_id",
        "S_COMPANY_NAME" AS "company_name",
        "S_STREET_NUMBER" AS "store_street_number",
        "S_STREET_NAME" AS "store_street_name",
        "S_STREET_TYPE" AS "store_street_type",
        "S_SUITE_NUMBER" AS "store_suite_number",
        "S_CITY" AS "store_city",
        "S_COUNTY" AS "store_county",
        "S_STATE" AS "store_state",
        "S_ZIP" AS "store_zip_code",
        "S_COUNTRY" AS "store_country",
        "S_GMT_OFFSET" AS "store_gmt_offset",
        "S_TAX_PRECENTAGE" AS "store_tax_percentage"
    FROM "store"
),

"store_renamed_trimmed" AS (
    -- Trim Leading and Trailing Spaces
    SELECT
        "store_surrogate_key",
        "store_id",
        "record_start_date",
        "record_end_date",
        "store_close_date",
        "store_name",
        "employee_count",
        "store_floor_space",
        "store_hours",
        "store_manager",
        "market_id",
        "geography_class",
        "market_description",
        "market_manager",
        "division_id",
        "division_name",
        "company_id",
        "company_name",
        "store_street_number",
        "store_street_type",
        "store_suite_number",
        "store_city",
        "store_county",
        "store_state",
        "store_zip_code",
        "store_country",
        "store_gmt_offset",
        "store_tax_percentage",
        TRIM("store_street_name") AS "store_street_name"
    FROM "store_renamed"
),

"store_renamed_trimmed_cleaned" AS (
    -- Clean unusual string values: 
    -- store_name: The problem is that 'able' and 'ought' are common English words rather than typical store names. They appear to be placeholders or errors in the data entry process. Since there are no clear correct store names to map these to, and we don't have additional context about what these stores might actually be, the most appropriate action is to map them to empty strings. 
    -- market_description: The problem is that both values in the market_description column are incomplete sentences that lack clear market descriptions. They appear to be truncated or nonsensical fragments rather than meaningful market descriptions. The correct approach would be to map these meaningless values to empty strings, as they do not provide any useful information about the market. 
    -- store_street_type: The problem is inconsistency in abbreviation formatting and an uncommon abbreviation. 'Dr.' is period-terminated while 'Wy' is not. 'Wy' is an uncommon abbreviation for 'Way'. The correct values should be consistently formatted and use standard abbreviations. 
    SELECT
        "store_surrogate_key",
        "store_id",
        "record_start_date",
        "record_end_date",
        "store_close_date",
        CASE
            WHEN "store_name" = 'able' THEN ''
            WHEN "store_name" = 'ought' THEN ''
            ELSE "store_name"
        END AS "store_name",
        "employee_count",
        "store_floor_space",
        "store_hours",
        "store_manager",
        "market_id",
        "geography_class",
        CASE
            WHEN "market_description" = 'Enough high areas stop expectations. Elaborate, local is' THEN ''
            WHEN "market_description" = 'Parliamentary candidates wait then heavy, keen mil' THEN ''
            ELSE "market_description"
        END AS "market_description",
        "market_manager",
        "division_id",
        "division_name",
        "company_id",
        "company_name",
        "store_street_number",
        CASE
            WHEN "store_street_type" = 'Wy' THEN 'Way'
            ELSE "store_street_type"
        END AS "store_street_type",
        "store_suite_number",
        "store_city",
        "store_county",
        "store_state",
        "store_zip_code",
        "store_country",
        "store_gmt_offset",
        "store_tax_percentage",
        "store_street_name"
    FROM "store_renamed_trimmed"
),

"store_renamed_trimmed_cleaned_null" AS (
    -- NULL Imputation: Impute Null to Disguised Missing Values
    -- store_name: ['']
    -- geography_class: ['Unknown']
    -- market_description: ['']
    -- division_name: ['Unknown']
    -- company_name: ['Unknown']
    SELECT 
        CASE
            WHEN "store_name" = '' THEN NULL
            ELSE "store_name"
        END AS "store_name",
        CASE
            WHEN "geography_class" = 'Unknown' THEN NULL
            ELSE "geography_class"
        END AS "geography_class",
        CASE
            WHEN "market_description" = '' THEN NULL
            ELSE "market_description"
        END AS "market_description",
        CASE
            WHEN "division_name" = 'Unknown' THEN NULL
            ELSE "division_name"
        END AS "division_name",
        CASE
            WHEN "company_name" = 'Unknown' THEN NULL
            ELSE "company_name"
        END AS "company_name",
        "store_id",
        "store_surrogate_key",
        "store_floor_space",
        "store_close_date",
        "company_id",
        "store_country",
        "store_state",
        "store_street_type",
        "store_hours",
        "store_county",
        "store_zip_code",
        "market_manager",
        "store_gmt_offset",
        "record_end_date",
        "store_city",
        "store_tax_percentage",
        "employee_count",
        "record_start_date",
        "store_suite_number",
        "store_street_name",
        "store_manager",
        "market_id",
        "division_id",
        "store_street_number"
    FROM "store_renamed_trimmed_cleaned"
),

"store_renamed_trimmed_cleaned_null_casted" AS (
    -- Column Type Casting: 
    -- record_end_date: from VARCHAR to DATE
    -- record_start_date: from VARCHAR to DATE
    -- store_close_date: from DECIMAL to DATE
    -- store_street_number: from INT to VARCHAR
    -- store_zip_code: from INT to VARCHAR
    SELECT
        "store_name",
        "geography_class",
        "market_description",
        "division_name",
        "company_name",
        "store_id",
        "store_surrogate_key",
        "store_floor_space",
        "company_id",
        "store_country",
        "store_state",
        "store_street_type",
        "store_hours",
        "store_county",
        "market_manager",
        "store_gmt_offset",
        "store_city",
        "store_tax_percentage",
        "employee_count",
        "store_suite_number",
        "store_street_name",
        "store_manager",
        "market_id",
        "division_id",
        CAST("record_end_date" AS DATE) AS "record_end_date",
        CAST("record_start_date" AS DATE) AS "record_start_date",
        "store_close_date" AS "store_close_date",
        CAST("store_street_number" AS VARCHAR) AS "store_street_number",
        CAST("store_zip_code" AS VARCHAR) AS "store_zip_code"
    FROM "store_renamed_trimmed_cleaned_null"
),

"store_renamed_trimmed_cleaned_null_casted_missing_handled" AS (
    -- Handling missing values: There are 6 columns with unacceptable missing values
    -- company_name has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- division_name has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- geography_class has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- market_description has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- record_end_date has 50.0 percent missing. Strategy: 🔄 Unchanged
    -- store_name has 100.0 percent missing. Strategy: 🗑️ Drop Column
    SELECT
        "store_id",
        "store_surrogate_key",
        "store_floor_space",
        "company_id",
        "store_country",
        "store_state",
        "store_street_type",
        "store_hours",
        "store_county",
        "market_manager",
        "store_gmt_offset",
        "store_city",
        "store_tax_percentage",
        "employee_count",
        "store_suite_number",
        "store_street_name",
        "store_manager",
        "market_id",
        "division_id",
        "record_end_date",
        "record_start_date",
        "store_close_date",
        "store_street_number",
        "store_zip_code"
    FROM "store_renamed_trimmed_cleaned_null_casted"
)

-- COCOON BLOCK END
SELECT * FROM "store_renamed_trimmed_cleaned_null_casted_missing_handled"

stg_store.yml (Document the table)

version: 2
models:
- name: stg_store
  description: The table is about retail stores. It contains details like store ID,
    name, location, size, employees, operating hours, and management. It also includes
    information on the store's market, division, and company. Financial details like
    tax percentage and geographical data like GMT offset are provided. The table tracks
    when store records were created, updated, or if the store closed.
  columns:
  - name: store_id
    description: Unique identifier for the store
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: Although not mentioned in the initial list, the store_id column
        is present in the sample data and appears to be a unique identifier for each
        store. For this table, where each row represents a unique store, the store_id
        is likely to be unique across all rows.
  - name: store_surrogate_key
    description: Surrogate key for the store
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This is an artificial key created to uniquely identify each store.
        In a well-designed database, this should be unique for each store entry.
  - name: store_floor_space
    description: Floor space of the store in square units
    tests:
    - not_null
  - name: company_id
    description: Unique identifier for the company
    tests:
    - not_null
  - name: store_country
    description: Country where the store is located
    tests:
    - not_null
  - name: store_state
    description: State where the store is located
    tests:
    - not_null
    - accepted_values:
        values:
        - AL
        - AK
        - AZ
        - AR
        - CA
        - CO
        - CT
        - DE
        - FL
        - GA
        - HI
        - ID
        - IL
        - IN
        - IA
        - KS
        - KY
        - LA
        - ME
        - MD
        - MA
        - MI
        - MN
        - MS
        - MO
        - MT
        - NE
        - NV
        - NH
        - NJ
        - NM
        - NY
        - NC
        - ND
        - OH
        - OK
        - OR
        - PA
        - RI
        - SC
        - SD
        - TN
        - TX
        - UT
        - VT
        - VA
        - WA
        - WV
        - WI
        - WY
  - name: store_street_type
    description: Type of street (e.g., Ave, St, Blvd)
    tests:
    - not_null
    - accepted_values:
        values:
        - St
        - Ave
        - Blvd
        - Dr
        - Ln
        - Rd
        - Way
        - Pl
        - Ct
        - Ter
        - Cir
        - Pkwy
        - Hwy
        - Expy
        - Fwy
        - Aly
        - Bnd
        - Crst
        - Xing
        - Sq
        - Trl
        - Loop
        - Dr.
  - name: store_hours
    description: Operating hours of the store
    tests:
    - not_null
  - name: store_county
    description: County where the store is located
    tests:
    - not_null
  - name: market_manager
    description: Name of the market manager
    tests:
    - not_null
  - name: store_gmt_offset
    description: GMT offset of the store's timezone
    tests:
    - not_null
  - name: store_city
    description: City where the store is located
    tests:
    - not_null
  - name: store_tax_percentage
    description: Tax percentage applicable to the store
    tests:
    - not_null
  - name: employee_count
    description: Number of employees in the store
    tests:
    - not_null
  - name: store_suite_number
    description: Suite number of the store
    tests:
    - not_null
  - name: store_street_name
    description: Name of the street where store is located
    tests:
    - not_null
  - name: store_manager
    description: Name of the store manager
    tests:
    - not_null
  - name: market_id
    description: Unique identifier for the market
    tests:
    - not_null
  - name: division_id
    description: Unique identifier for the division
    tests:
    - not_null
  - name: record_end_date
    description: End date of the record
    tests:
    - not_null
  - name: record_start_date
    description: Start date of the record
    tests:
    - not_null
  - name: store_close_date
    description: Date when the store was closed
    cocoon_meta:
      missing_acceptable: Not applicable for stores still in operation.
  - name: store_street_number
    description: Street number of the store
    tests:
    - not_null
  - name: store_zip_code
    description: ZIP code of the store location
    tests:
    - not_null

stg_item (first 100 rows)

	UNIT_OF_MEASURE	ITEM_DESCRIPTION	MANUFACTURER_ID	CONTAINER_TYPE	SUBCATEGORY	CATEGORY_NAME	CATEGORY_ID	MANAGER_ID	SIZE_	ITEM_SURROGATE_KEY	CURRENT_PRICE	FORMULATION_CODE	COLOR	ITEM_ID	WHOLESALE_COST	SUBCATEGORY_ID	BRAND_NAME	PRODUCT_NAME	BRAND_ID	RECORD_END_DATE	RECORD_START_DATE
0	Teaspoon	None	52	Unknown	Pop	Music	5	6	None	1	27.02	3663peru009490160959	spring	AAAAAAAABAAAAAAA	23.23	3	exportischolar #2	ought	5003002	NaT	1997-10-27
1	Bunch	False opportunities would run alone with a views. Early approaches would show inc, european intentions; important, main passages shall know urban,	294	Unknown	dresses	Women	1	98	small	2	1.12	516steel060826230906	rosy	AAAAAAAACAAAAAAA	0.38	1	amalgamalg #1	able	1001001	2000-10-26	1997-10-27
2	Cup	False opportunities would run alone with a views. Early approaches would show inc, european intentions; important, main passages shall know urban,	294	Unknown	decor	Home	7	18	None	3	7.11	516steel060826230906	sienna	AAAAAAAACAAAAAAA	0.38	7	brandbrand #4	pri	1001001	NaT	2000-10-27
3	Tablespoon	Normal systems would join simply different theories. Full, new clothes may eat instead achievements. D	479	Unknown	infants	Children	3	26	extralarge	4	1.35	610157moccasin018327	red	AAAAAAAAEAAAAAAA	0.85	2	importoexporti #1	ese	3002001	1999-10-27	1997-10-27
4	Cup	Normal systems would join simply different theories. Full, new clothes may eat instead achievements. D	220	Unknown	shirts	Men	2	27	small	5	4.00	42214rosy28066558020	pink	AAAAAAAAEAAAAAAA	1.76	2	importoimporto #2	anti	2002002	2001-10-26	1999-10-28
5	Bundle	Normal systems would join simply different theories. Full, new clothes may eat instead achievements. D	212	Unknown	pants	Men	2	6	large	6	0.85	42214rosy28066558020	moccasin	AAAAAAAAEAAAAAAA	1.76	3	exportiimporto #1	cally	2002002	NaT	2001-10-27
6	Teaspoon	Anxious accounts must catch also years. Revolutionary, large directors used to embrace then mo	214	Unknown	newborn	Children	3	64	small	7	9.94	6moccasin24027188872	spring	AAAAAAAAHAAAAAAA	6.75	1	amalgexporti #2	ation	3001002	NaT	1997-10-27
7	Carton	F	630	Unknown	toddlers	Children	3	25	extralarge	8	2.76	35123wheat3256343398	turquoise	AAAAAAAAIAAAAAAA	0.85	3	exportiexporti #1	eing	3003001	2000-10-26	1997-10-27
8	Tablespoon	F	630	Unknown	swimwear	Women	1	3	medium	9	4.46	35123wheat3256343398	wheat	AAAAAAAAIAAAAAAA	0.85	3	edu packamalg #2	st	1004002	NaT	2000-10-27
9	Teaspoon	Classical services go trousers. However great galleries might say needs. Assumptions change very in favour of the notes. Teeth woul	350	Unknown	scanners	Electronics	10	34	None	10	8.94	8159007505thistle447	pale	AAAAAAAAKAAAAAAA	4.11	8	namelessunivamalg #11	bar	10008011	1999-10-27	1997-10-27
10	Bunch	Correct, fo	625	Unknown	estate	Jewelry	6	26	None	11	54.87	snow1543775706017405	yellow	AAAAAAAAKAAAAAAA	4.11	14	edu packbrand #4	oughtought	10008011	2001-10-26	1999-10-28
11	Tablespoon	Corporate, important facilities claim trying, external sides. Elements used to expect home pr	264	Unknown	furniture	Home	7	19	None	12	6.54	968467777sky92069287	royal	AAAAAAAAKAAAAAAA	4.11	14	corpnameless #3	able	10008011	NaT	2001-10-27
12	Bundle	Hard, private departments spoil more quickly possible members; clear troops fail only needs.	167	Unknown	costumes	Jewelry	6	51	None	13	8.76	883208731996blue7862	olive	AAAAAAAANAAAAAAA	7.62	12	importobrand #6	priought	6012006	NaT	1997-10-27
13	Dram	Teachers carry by the children; old democrats enco	460	Unknown	hockey	Sports	8	6	None	14	1.85	1144670162goldenrod2	red	AAAAAAAAOAAAAAAA	0.59	7	brandnameless #5	eseought	8007005	2000-10-26	1997-10-27
14	Pound	Teachers carry by the children; old democrats enco	86	Unknown	Country	Music	5	11	None	15	2.57	1144670162goldenrod2	royal	AAAAAAAAOAAAAAAA	0.59	2	importoscholar #2	anti	5002002	NaT	2000-10-27
15	Pound	Dominant, christian pp. may not raise	117	Unknown	fragrances	Women	1	23	large	16	0.31	36933056603steel7373	bisque	AAAAAAAAABAAAAAA	0.14	2	importoamalg #1	cally	1002001	1999-10-27	1997-10-27
16	Dram	Dominant, christian pp. may not raise	117	Unknown	accessories	Men	2	41	extralarge	17	6.49	452645olive281530722	snow	AAAAAAAAABAAAAAA	0.14	1	amalgimporto #2	ation	1002001	2001-10-26	1999-10-28
17	Carton	None	117	Unknown	fragrances	Women	1	63	medium	18	0.87	452645olive281530722	rosy	AAAAAAAAABAAAAAA	0.48	2	importoamalg #1	eingought	1002001	NaT	2001-10-27
18	Ton	None	364	Unknown	sports-apparel	Men	2	13	large	19	10.61	85seashell1303417084	smoke	AAAAAAAADBAAAAAA	4.77	4	edu packimporto #2	stought	2004002	NaT	1997-10-27
19	Gram	Legal, foreign days know losses; briefly equivalent arguments will expect today. New, front grounds look hot, other aspects. Actually national husbands show usually of course other stations; huge, k	995	Unknown	maternity	Women	1	21	extralarge	20	29.35	97245417ivory0043452	tan	AAAAAAAAEBAAAAAA	18.78	3	exportiamalg #1	bar	1003001	2000-10-26	1997-10-27
20	Pallet	Legal, foreign days know losses; briefly equivalent arguments will expect today. New, front grounds look hot, other aspects. Actually national husbands show usually of course other stations; huge, k	995	Unknown	consignment	Jewelry	6	4	None	21	10.71	1050463678plum205437	sienna	AAAAAAAAEBAAAAAA	8.46	3	corpbrand #6	oughtable	6016006	NaT	2000-10-27
21	Each	Members endure already near additional details. Ministers should ignore whole times. Bright, brief beliefs become highly bright men; o	169	Unknown	karaoke	Electronics	10	40	None	22	7.11	4900684033pink844758	sandy	AAAAAAAAGBAAAAAA	3.27	5	scholarunivamalg #6	able	10005006	1999-10-27	1997-10-27
22	Bunch	Below long minutes make primarily by a months. Secure effects get much upo	260	Unknown	karaoke	Electronics	10	44	None	23	3.73	569seashell149755477	papaya	AAAAAAAAGBAAAAAA	1.41	5	scholarunivamalg #7	priable	10005006	2001-10-26	1999-10-28
23	Ton	Below long minutes make primarily by a months. Secure effects get much upo	260	Unknown	dresses	Women	1	10	medium	24	2.61	569seashell149755477	lime	AAAAAAAAGBAAAAAA	0.86	1	amalgamalg #1	eseable	10005006	NaT	2001-10-27
24	Bundle	Major brothers must not mean true annual, aware workers. Regulations will let more mechanisms. English pictures take tha	338	Unknown	swimwear	Women	1	18	large	25	75.28	90papaya546284022999	purple	AAAAAAAAJBAAAAAA	50.43	4	edu packamalg #2	anti	1004002	NaT	1997-10-27
25	Box	Hands cannot show just administrative studies. Powerful orders come fiscal thanks. Major, certain nurses work still relative pa	26	Unknown	sports-apparel	Men	2	31	small	26	2.77	thistle3370503164308	spring	AAAAAAAAKBAAAAAA	1.91	4	edu packimporto #1	cally	2004001	2000-10-26	1997-10-27
26	Pound	New, only police shall start generally left, important holidays. Inte	734	Unknown	diamonds	Jewelry	6	31	None	27	8.57	thistle3370503164308	orchid	AAAAAAAAKBAAAAAA	1.91	4	importocorp #4	ation	2004001	NaT	2000-10-27
27	Dram	External, actual teache	886	Unknown	toddlers	Children	3	32	medium	28	0.15	56715743614hot522158	turquoise	AAAAAAAAMBAAAAAA	0.07	3	exportiexporti #1	eingable	3003001	1999-10-27	1997-10-27
28	Carton	None	209	Unknown	swimwear	Women	1	35	large	29	1.04	56715743614hot522158	yellow	AAAAAAAAMBAAAAAA	0.07	3	edu packamalg #2	stable	3003001	2001-10-26	1999-10-28
29	Bundle	None	732	Unknown	mens-watches	Jewelry	6	32	None	30	86.00	spring82346236549375	gainsboro	AAAAAAAAMBAAAAAA	62.78	8	namelesscorp #7	bar	6008007	NaT	2001-10-27
30	Each	None	167	Unknown	fishing	Sports	8	98	None	31	8.48	7wheat78839382233684	lawn	AAAAAAAAPBAAAAAA	3.30	15	scholarmaxi #2	oughtpri	8015002	NaT	1997-10-27
31	Dram	Different numbers might not visit; rights used to remember. Labour students must put as slowly possible children. Never	431	Unknown	curtains-and-drapes	Home	7	7	None	32	1.77	royal348530153475607	turquoise	AAAAAAAAACAAAAAA	1.00	4	edu packbrand #3	able	7004003	2000-10-26	1997-10-27
32	Carton	None	154	Unknown	toddlers	Children	3	51	medium	33	7.86	36972puff56515747175	plum	AAAAAAAAACAAAAAA	1.00	4	exportiexporti #2	pripri	3003002	NaT	2000-10-27
33	Pallet	Victorian miles would reform as well relationships. However tired institutions will send. Dramatically likely rats catch in a teams. Years may spend nearly mass, high	553	Unknown	personal	Electronics	10	58	None	34	2.07	29171thistle61991621	honeydew	AAAAAAAACCAAAAAA	1.49	7	brandunivamalg #1	esepri	10007001	1999-10-27	1997-10-27
34	Teaspoon	Victorian miles would reform as well relationships. However tired institutions will send. Dramatically likely rats catch in a teams. Years may spend nearly mass, high	553	Unknown	arts	Books	9	5	None	35	2.32	khaki119648424197997	green	AAAAAAAACCAAAAAA	1.11	1	amalgmaxi #12	anti	10007001	2001-10-26	1999-10-28
35	Case	Victorian miles would reform as well relationships. However tired institutions will send. Dramatically likely rats catch in a teams. Years may spend nearly mass, high	553	Unknown	dresses	Women	1	37	medium	36	91.42	khaki119648424197997	thistle	AAAAAAAACCAAAAAA	34.73	1	amalgamalg #1	cally	1001001	NaT	2001-10-27
36	Bundle	Clearly due proceedings should compensate particular, main agreements. Heels may not deny later easily different spaces; vast, additional items might export fresh, only sentences. Patients expand	489	Unknown	accessories	Men	2	28	small	37	2.42	8violet4563425031455	rose	AAAAAAAAFCAAAAAA	0.87	1	amalgimporto #2	ation	2001002	NaT	1997-10-27
37	Bunch	Cheap problems can draw please over good stars. Either long children would pass similar, different metres; base, large surroundings	933	Unknown	sports-apparel	Men	2	36	medium	38	16.70	5red3080638918015686	violet	AAAAAAAAGCAAAAAA	8.01	4	edu packimporto #1	eingpri	2004001	2000-10-26	1997-10-27
38	None	Cheap problems can draw please over good stars. Either long children would pass similar, different metres; base, large surroundings	368	Unknown	business	Books	9	34	None	39	5.07	5red3080638918015686	sandy	AAAAAAAAGCAAAAAA	8.01	2	importomaxi #4	stpri	2004001	NaT	2000-10-27
39	Pallet	Deep good activities should resist to a substances; that is beautiful businessmen like problems. Late huge meet	147	Unknown	lighting	Home	7	64	None	40	9.93	olive423496330709355	sandy	AAAAAAAAICAAAAAA	8.63	8	namelessbrand #1	bar	7008001	1999-10-27	1997-10-27
40	Bunch	Deep good activities should resist to a substances; that is beautiful businessmen like problems. Late huge meet	310	Unknown	toddlers	Children	3	85	small	41	4.40	09031176427khaki3414	red	AAAAAAAAICAAAAAA	8.63	8	exportiexporti #2	oughtese	7008001	2001-10-26	1999-10-28
41	Cup	Once straight tools migh	540	Unknown	Pop	Music	5	64	None	42	9.15	09031176427khaki3414	powder	AAAAAAAAICAAAAAA	8.63	3	exportischolar #1	able	5003001	NaT	2001-10-27
42	Pallet	None	301	Unknown	travel	Books	9	19	None	43	6.08	19orchid108200357725	firebrick	AAAAAAAALCAAAAAA	4.86	10	univunivamalg #8	priese	9010008	NaT	1997-10-27
43	Case	None	124	Unknown	Rock	Music	5	59	None	44	5.20	salmon36671081354930	chocolate	AAAAAAAAMCAAAAAA	1.71	1	amalgscholar #1	esese	5001001	2000-10-26	1997-10-27
44	None	None	459	Unknown	mens-watches	Jewelry	6	15	None	45	0.37	salmon36671081354930	khaki	AAAAAAAAMCAAAAAA	1.71	1	namelesscorp #6	anti	5001001	NaT	2000-10-27
45	Teaspoon	Emotional, nuclear farmers can understand also in t	252	Unknown	costumes	Jewelry	6	19	None	46	98.66	115838salmon36529828	saddle	AAAAAAAAOCAAAAAA	85.83	12	importobrand #7	cally	6012007	1999-10-27	1997-10-27
46	Dram	Emotional, nuclear farmers can understand also in t	99	Unknown	women's watches	Shoes	4	5	small	47	3.00	115838salmon36529828	peru	AAAAAAAAOCAAAAAA	1.74	1	amalgedu pack #2	ation	6012007	2001-10-26	1999-10-28
47	Dram	Emotional, nuclear farmers can understand also in t	41	Unknown	Rock	Music	5	21	None	48	1.45	03879white9235299949	thistle	AAAAAAAAOCAAAAAA	1.74	1	amalgscholar #1	eingese	5001001	NaT	2001-10-27
48	None	None	443	Unknown	school-uniforms	Children	3	56	large	49	8.01	027315130steel656106	powder	AAAAAAAABDAAAAAA	2.48	4	edu packexporti #2	stese	3004002	NaT	1997-10-27
49	Cup	Activities cover	140	Unknown	athletic-wear	Shoes	4	72	small	50	4.99	1446003050medium4139	papaya	AAAAAAAACDAAAAAA	3.54	4	edu packedu pack #1	bar	4004001	2000-10-26	1997-10-27
50	Gram	International, likely trees put carefully variations. Eventually silent observations might think better changes. Western, aggressive gardens protect furthermore stars. Yesterday adequate action	140	Unknown	toddlers	Children	3	33	extralarge	51	3.99	1446003050medium4139	sky	AAAAAAAACDAAAAAA	1.99	3	exportiexporti #2	oughtanti	3003002	NaT	2000-10-27
51	Pound	Very private features may not like newspapers. Intently right groups try very enquiries; too good minutes want less limited employers. Books ought to provide accounta	865	Unknown	infants	Children	3	33	medium	52	2.99	moccasin133060463675	rose	AAAAAAAAEDAAAAAA	2.15	2	importoexporti #1	able	3002001	1999-10-27	1997-10-27
52	Case	Very private features may not like newspapers. Intently right groups try very enquiries; too good minutes want less limited employers. Books ought to provide accounta	865	Unknown	memory	Electronics	10	14	None	53	8.26	moccasin133060463675	peru	AAAAAAAAEDAAAAAA	2.47	10	univamalgamalg #3	prianti	3002001	2001-10-26	1999-10-28
53	Ounce	Very private features may not like newspapers. Intently right groups try very enquiries; too good minutes want less limited employers. Books ought to provide accounta	865	Unknown	dresses	Women	1	40	medium	54	37.84	turquoise29355882814	khaki	AAAAAAAAEDAAAAAA	20.05	1	amalgamalg #1	eseanti	1001001	NaT	2001-10-27
54	Cup	Applicable versions feel so silly peasants. Lessons make relatively for example medical leaves. Details might want criminal, id	47	Unknown	swimwear	Women	1	18	medium	55	0.99	7975726dodger7126990	ghost	AAAAAAAAHDAAAAAA	0.79	4	edu packamalg #2	anti	1004002	NaT	1997-10-27
55	Teaspoon	Events might shape successfully; recent flowers should trace alike hard questions. Small areas could not give easy, enthusiastic ends. Obvious	412	Unknown	disk-drives	Electronics	10	5	None	56	7.44	45885navy00969807009	hot	AAAAAAAAIDAAAAAA	3.94	11	amalgamalgamalg #6	cally	10011006	2000-10-26	1997-10-27
56	Dozen	Events might shape successfully; recent flowers should trace alike hard questions. Small areas could not give easy, enthusiastic ends. Obvious	591	Unknown	school-uniforms	Children	3	24	medium	57	4.58	611purple39006426349	red	AAAAAAAAIDAAAAAA	3.94	11	edu packexporti #2	ation	10011006	NaT	2000-10-27
57	Pound	Cuts may hold already; daughters can like exclusively pregnant, fresh police; actual,	187	Unknown	kids	Shoes	4	4	small	58	0.87	602196716medium47751	blush	AAAAAAAAKDAAAAAA	0.71	3	exportiedu pack #1	einganti	4003001	1999-10-27	1997-10-27
58	Teaspoon	Cuts may hold already; daughters can like exclusively pregnant, fresh police; actual,	413	Unknown	school-uniforms	Children	3	57	medium	59	38.82	602196716medium47751	sandy	AAAAAAAAKDAAAAAA	15.13	3	edu packexporti #2	stanti	3004002	2001-10-26	1999-10-28
59	None	Cuts may hold already; daughters can like exclusively pregnant, fresh police; actual,	849	Unknown	women's watches	Jewelry	6	19	None	60	4.87	602196716medium47751	indian	AAAAAAAAKDAAAAAA	15.13	9	maxicorp #5	bar	3004002	NaT	2001-10-27
60	Case	None	785	Unknown	musicals	Electronics	10	22	None	61	0.50	83227powder377577506	gainsboro	AAAAAAAANDAAAAAA	0.22	6	corpunivamalg #11	oughtcally	10006011	NaT	1997-10-27
61	Bunch	Either british authorities would receive slightly. Yesterday unique clothes work seldom old sales. Famous, possible programmes take reall	633	Unknown	bracelets	Jewelry	6	84	None	62	3.49	206thistle2954355697	violet	AAAAAAAAODAAAAAA	1.18	4	edu packcorp #7	able	6004007	2000-10-26	1997-10-27
62	Ton	None	633	Unknown	shirts	Men	2	41	medium	63	4.34	206thistle2954355697	red	AAAAAAAAODAAAAAA	1.18	2	importoimporto #2	prically	6004007	NaT	2000-10-27
63	Tablespoon	Both new conditions ask acute, ashamed pupils. Short, poor fami	322	Unknown	optics	Sports	8	14	None	64	2.02	2tan8009172776437677	maroon	AAAAAAAAAEAAAAAA	1.69	9	maxinameless #5	esecally	8009005	1999-10-27	1997-10-27
64	Bundle	Both new conditions ask acute, ashamed pupils. Short, poor fami	363	Unknown	scanners	Electronics	10	27	None	65	73.24	567702bisque83928674	blue	AAAAAAAAAEAAAAAA	54.19	8	namelessunivamalg #15	anti	10008015	2001-10-26	1999-10-28
65	Bundle	Conservatives exert ahead for a	121	Unknown	science	Books	9	51	None	66	6.67	438189282firebrick54	purple	AAAAAAAAAEAAAAAA	54.19	8	maximaxi #7	cally	10008015	NaT	2001-10-27
66	Ounce	None	285	Unknown	fiction	Books	9	57	None	67	1.47	583spring53597495026	black	AAAAAAAADEAAAAAA	0.83	15	scholarunivamalg #8	ation	9015008	NaT	1997-10-27
67	Carton	None	76	Unknown	sports-apparel	Men	2	35	small	68	6.93	16294729rose54248882	navy	AAAAAAAAEEAAAAAA	3.11	4	edu packimporto #1	eingcally	2004001	2000-10-26	1997-10-27
68	Gross	Modern, golden faces illustrate previously grounds. Acceptable, gold sides cannot mind modern plans; large thanks find highly only meals. Enormous, popular teachers	76	Unknown	fragrances	Women	1	28	large	69	5.67	972807876turquoise30	pale	AAAAAAAAEEAAAAAA	3.11	2	importoamalg #2	stcally	2004001	NaT	2000-10-27
69	Dram	Factors sha	445	Unknown	Classical	Music	5	52	None	70	9.79	purple89249207875245	rose	AAAAAAAAGEAAAAAA	4.40	4	edu packscholar #1	bar	5004001	1999-10-27	1997-10-27
70	Ounce	General stars believe for example at a	445	Unknown	sports	Books	9	26	None	71	3.21	purple89249207875245	lavender	AAAAAAAAGEAAAAAA	2.53	14	edu packunivamalg #12	oughtation	9014012	2001-10-26	1999-10-28
71	Ton	None	445	Unknown	fragrances	Women	1	27	medium	72	5.31	5peru941765840464570	blush	AAAAAAAAGEAAAAAA	2.53	2	importoamalg #1	able	1002001	NaT	2001-10-27
72	Tablespoon	None	653	Unknown	maternity	Women	1	3	small	73	41.16	03293333saddle019730	misty	AAAAAAAAJEAAAAAA	27.57	3	exportiamalg #2	priation	1003002	NaT	1997-10-27
73	Carton	Clergy ought	954	Unknown	sports-apparel	Men	2	17	small	74	3.91	8341981838751coral30	papaya	AAAAAAAAKEAAAAAA	1.44	4	edu packimporto #1	eseation	2004001	2000-10-26	1997-10-27
74	Tablespoon	Here distant classes would not prove therefore objectives. Public books improve of course politi	954	Unknown	stereos	Electronics	10	12	None	75	3.26	965042tomato56650663	wheat	AAAAAAAAKEAAAAAA	1.30	4	exportiamalgamalg #8	anti	2004001	NaT	2000-10-27
75	Ounce	Around single relations clear heavily over a controls. Arms could leave signs. T	46	Unknown	travel	Books	9	32	None	76	3.84	140503351631sienna87	puff	AAAAAAAAMEAAAAAA	2.76	10	univunivamalg #5	cally	9010005	1999-10-27	1997-10-27
76	Ounce	Around single relations clear heavily over a controls. Arms could leave signs. T	46	Unknown	toddlers	Children	3	88	small	77	0.90	140503351631sienna87	purple	AAAAAAAAMEAAAAAA	2.76	3	exportiexporti #2	ation	3003002	2001-10-26	1999-10-28
77	Pound	Around single relations clear heavily over a controls. Arms could leave signs. T	515	Unknown	rings	Jewelry	6	70	None	78	0.23	85716779158spring390	royal	AAAAAAAAMEAAAAAA	0.14	6	corpcorp #7	eingation	3003002	NaT	2001-10-27
78	Ounce	None	385	Unknown	televisions	Electronics	10	2	None	79	2.87	sandy027498424299031	papaya	AAAAAAAAPEAAAAAA	1.37	9	maxiunivamalg #12	station	10009012	NaT	1997-10-27
79	Bundle	Particular, armed costs ought to spin certainly. Events get in the costs. Late, parliamentary foods shall not arrest there able men. Other, difficult officers hold high interests. Model shares dre	376	Unknown	kids	Shoes	4	38	None	80	2.16	26985wheat7381826860	yellow	AAAAAAAAAFAAAAAA	1.59	3	exportiedu pack #1	bar	4003001	2000-10-26	1997-10-27
80	Box	Particular, armed costs ought to spin certainly. Events get in the costs. Late, parliamentary foods shall not arrest there able men. Other, difficult officers hold high interests. Model shares dre	37	Unknown	mens	Shoes	4	68	large	81	3.65	26985wheat7381826860	cyan	AAAAAAAAAFAAAAAA	3.13	3	importoedu pack #2	oughting	4002002	NaT	2000-10-27
81	Dram	None	306	Unknown	athletic-wear	Shoes	4	53	small	82	1.43	0340aquamarine369806	violet	AAAAAAAACFAAAAAA	1.17	4	edu packedu pack #1	able	4004001	1999-10-27	1997-10-27
82	Each	Children could not influence most flat, careful figures. Local, true stars could commend. As scottish blocks want still old benefits. Skills should not try precisely. Y	622	Unknown	pendants	Jewelry	6	5	None	83	4.25	146048520linen957568	misty	AAAAAAAACFAAAAAA	1.17	4	brandcorp #4	pring	4004001	2001-10-26	1999-10-28
83	Gross	Cultural, cultural contracts assume colours. Close legitimate flowers watch enough british reasons. Probably old years must set recently intensive words. Elderly factors go otherwise useless months.	662	Unknown	sports-apparel	Men	2	3	large	84	1.41	8587plum853813979789	grey	AAAAAAAACFAAAAAA	1.26	4	edu packimporto #1	eseing	2004001	NaT	2001-10-27
84	Ounce	Again common customers should make hardly proposals. Close groups can prevent after a cars. Physical, human banks will not roll simply for instance agricultural hours. Northern centre	156	Unknown	pants	Men	2	66	small	85	39.31	859187711467pale4603	sky	AAAAAAAAFFAAAAAA	34.98	3	exportiimporto #2	anti	2003002	NaT	1997-10-27
85	Pallet	Parents like only new demands. Current players let charges. Specific, young towns realise however countr	985	Unknown	diamonds	Jewelry	6	2	None	86	0.87	642534525118salmon94	powder	AAAAAAAAGFAAAAAA	0.74	2	importocorp #7	cally	6002007	2000-10-26	1997-10-27
86	Bunch	Lives must rule better now sem	985	Unknown	newborn	Children	3	57	small	87	4.51	66917821011ghost0861	sky	AAAAAAAAGFAAAAAA	1.53	2	amalgexporti #2	ation	3001002	NaT	2000-10-27
87	Gross	Fears obtain still blind, active others. Forever numerous signs last even here civil strate	87	Unknown	newborn	Children	3	24	large	88	7.29	97346sandy2527135842	snow	AAAAAAAAIFAAAAAA	3.71	1	amalgexporti #1	eingeing	3001001	1999-10-27	1997-10-27
88	Bundle	None	967	Unknown	accessories	Men	2	5	large	89	4.79	97346sandy2527135842	coral	AAAAAAAAIFAAAAAA	3.44	1	amalgimporto #2	sting	3001001	2001-10-26	1999-10-28
89	Teaspoon	Both french meanings cannot tackle then	907	Unknown	Rock	Music	5	35	None	90	1.18	97346sandy2527135842	blue	AAAAAAAAIFAAAAAA	0.44	1	amalgscholar #1	bar	3001001	NaT	2001-10-27
90	Pound	None	176	Unknown	musicals	Electronics	10	74	None	91	0.64	2925royal36510681005	lace	AAAAAAAALFAAAAAA	0.28	6	corpunivamalg #7	oughtst	10006007	NaT	1997-10-27
91	None	Employers w	547	Unknown	optics	Sports	8	12	None	92	4.48	1906778941seashell97	indian	AAAAAAAAMFAAAAAA	2.64	9	maxinameless #3	able	8009003	2000-10-26	1997-10-27
92	Pound	Employers w	290	Unknown	fishing	Sports	8	90	None	93	1.06	082sienna17917347780	cyan	AAAAAAAAMFAAAAAA	0.61	15	scholarmaxi #4	prist	8015004	NaT	2000-10-27
93	Box	Institutions ought to provide good agents; large, comfortable	254	Unknown	shirts	Men	2	33	small	94	0.11	46040088turquoise736	orange	AAAAAAAAOFAAAAAA	0.06	2	importoimporto #1	esest	2002001	1999-10-27	1997-10-27
94	Tablespoon	Institutions ought to provide good agents; large, comfortable	276	Unknown	Pop	Music	5	95	None	95	2.55	414160524grey3616827	pale	AAAAAAAAOFAAAAAA	1.30	3	exportischolar #2	anti	5003002	2001-10-26	1999-10-28
95	Pound	None	54	Unknown	bridal	Jewelry	6	17	None	96	4.19	20988791004papaya520	cream	AAAAAAAAOFAAAAAA	1.30	3	amalgcorp #1	cally	6001001	NaT	2001-10-27
96	Gross	None	275	Unknown	fiction	Books	9	5	None	97	57.09	96goldenrod451188509	rose	AAAAAAAABGAAAAAA	32.54	15	scholarunivamalg #2	ation	9015002	NaT	1997-10-27
97	Ton	Opportunities clear there. Basic rules ask british locations. More financial visits construct other funds. Unk	302	Unknown	outdoor	Sports	8	24	None	98	3.16	01882924064yellow241	medium	AAAAAAAACGAAAAAA	2.18	8	namelessnameless #9	eingst	8008009	2000-10-26	1997-10-27
98	Pound	Opportunities clear there. Basic rules ask british locations. More financial visits construct other funds. Unk	302	Unknown	karaoke	Electronics	10	19	None	99	4.81	215235wheat677989979	salmon	AAAAAAAACGAAAAAA	2.18	5	scholarunivamalg #15	stst	8008009	NaT	2000-10-27

stg_item.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"item_renamed" AS (
    -- Rename: Renaming columns
    -- I_ITEM_SK -> ITEM_SURROGATE_KEY
    -- I_ITEM_ID -> ITEM_ID
    -- I_REC_START_DATE -> RECORD_START_DATE
    -- I_REC_END_DATE -> RECORD_END_DATE
    -- I_ITEM_DESC -> ITEM_DESCRIPTION
    -- I_CURRENT_PRICE -> CURRENT_PRICE
    -- I_WHOLESALE_COST -> WHOLESALE_COST
    -- I_BRAND_ID -> BRAND_ID
    -- I_BRAND -> BRAND_NAME
    -- I_CLASS_ID -> SUBCATEGORY_ID
    -- I_CLASS -> SUBCATEGORY
    -- I_CATEGORY_ID -> CATEGORY_ID
    -- I_CATEGORY -> CATEGORY_NAME
    -- I_MANUFACT_ID -> MANUFACTURER_ID
    -- I_MANUFACT -> MANUFACTURER
    -- I_SIZE -> SIZE_
    -- I_FORMULATION -> FORMULATION_CODE
    -- I_COLOR -> COLOR
    -- I_UNITS -> UNIT_OF_MEASURE
    -- I_CONTAINER -> CONTAINER_TYPE
    -- I_MANAGER_ID -> MANAGER_ID
    -- I_PRODUCT_NAME -> PRODUCT_NAME
    SELECT 
        "I_ITEM_SK" AS "ITEM_SURROGATE_KEY",
        "I_ITEM_ID" AS "ITEM_ID",
        "I_REC_START_DATE" AS "RECORD_START_DATE",
        "I_REC_END_DATE" AS "RECORD_END_DATE",
        "I_ITEM_DESC" AS "ITEM_DESCRIPTION",
        "I_CURRENT_PRICE" AS "CURRENT_PRICE",
        "I_WHOLESALE_COST" AS "WHOLESALE_COST",
        "I_BRAND_ID" AS "BRAND_ID",
        "I_BRAND" AS "BRAND_NAME",
        "I_CLASS_ID" AS "SUBCATEGORY_ID",
        "I_CLASS" AS "SUBCATEGORY",
        "I_CATEGORY_ID" AS "CATEGORY_ID",
        "I_CATEGORY" AS "CATEGORY_NAME",
        "I_MANUFACT_ID" AS "MANUFACTURER_ID",
        "I_MANUFACT" AS "MANUFACTURER",
        "I_SIZE" AS "SIZE_",
        "I_FORMULATION" AS "FORMULATION_CODE",
        "I_COLOR" AS "COLOR",
        "I_UNITS" AS "UNIT_OF_MEASURE",
        "I_CONTAINER" AS "CONTAINER_TYPE",
        "I_MANAGER_ID" AS "MANAGER_ID",
        "I_PRODUCT_NAME" AS "PRODUCT_NAME"
    FROM "item"
),

"item_renamed_trimmed" AS (
    -- Trim Leading and Trailing Spaces
    SELECT
        "ITEM_SURROGATE_KEY",
        "ITEM_ID",
        "RECORD_START_DATE",
        "RECORD_END_DATE",
        "CURRENT_PRICE",
        "WHOLESALE_COST",
        "BRAND_ID",
        "BRAND_NAME",
        "SUBCATEGORY_ID",
        "SUBCATEGORY",
        "CATEGORY_ID",
        "CATEGORY_NAME",
        "MANUFACTURER_ID",
        "MANUFACTURER",
        "SIZE_",
        "FORMULATION_CODE",
        "COLOR",
        "UNIT_OF_MEASURE",
        "CONTAINER_TYPE",
        "MANAGER_ID",
        "PRODUCT_NAME",
        TRIM("ITEM_DESCRIPTION") AS "ITEM_DESCRIPTION"
    FROM "item_renamed"
),

"item_renamed_trimmed_cleaned" AS (
    -- Clean unusual string values: 
    -- SUBCATEGORY: The SUBCATEGORY column has several issues: 1. Misspelling: 'karoke' should be 'karaoke' 2. Inconsistent use of singular/plural: e.g., 'dresses' vs 'shirt', 'pants' vs 'accessories' 3. Inconsistent hyphenation: e.g., 'sports-apparel' vs 'mens watch' 4. Typo: 'birdal' should be 'bridal' 5. Inconsistent capitalization: most are lowercase, but some like 'pop' and 'rock' might refer to music genres To standardize, we'll use lowercase, plural forms where applicable, and add hyphens for compound terms. Music genres will be capitalized. 
    -- MANUFACTURER: The problem is that all values in the MANUFACTURER column are nonsensical combinations of word fragments, not representing real manufacturers. These values appear to be randomly generated strings or corrupted data. There are no correct or meaningful values that can be derived from these nonsensical combinations. In this case, the best approach is to map all these invalid entries to an empty string, indicating missing or invalid data. 
    -- SIZE_: The problem is that the SIZE_ column has inconsistent formatting and scale. 'extra large' uses spaces while others don't, which is inconsistent. 'petite' and 'economy' are not part of the standard size scale (small, medium, large, extra large). The correct values should follow a consistent format without spaces and use the standard size scale. 
    -- UNIT_OF_MEASURE: The problem is inconsistency in unit representations and potential redundancy. 'Lb' and 'Pound' represent the same unit of weight, with 'Pound' being more descriptive. Similarly, 'Oz' and 'Ounce' are the same unit, with 'Ounce' being the full word. 'Tsp' and 'Tbl' are abbreviations that should be spelled out for clarity. 'Unknown' is not a valid unit of measure. The correct values should use full words where possible and maintain consistency. 
    -- PRODUCT_NAME: The problem is that some product names have redundant prefixes or suffixes, and some contain unexpected spaces. The correct values should be consistent, without redundancy or spaces. The most frequent patterns for each base word should be used. 
    -- ITEM_DESCRIPTION: Fail to run
    SELECT
        "ITEM_SURROGATE_KEY",
        "ITEM_ID",
        "RECORD_START_DATE",
        "RECORD_END_DATE",
        "CURRENT_PRICE",
        "WHOLESALE_COST",
        "BRAND_ID",
        "BRAND_NAME",
        "SUBCATEGORY_ID",
        CASE
            WHEN "SUBCATEGORY" = 'karoke' THEN 'karaoke'
            WHEN "SUBCATEGORY" = 'shirt' THEN 'shirts'
            WHEN "SUBCATEGORY" = 'athletic' THEN 'athletic-wear'
            WHEN "SUBCATEGORY" = 'costume' THEN 'costumes'
            WHEN "SUBCATEGORY" = 'diamond' THEN 'diamonds'
            WHEN "SUBCATEGORY" = 'infant' THEN 'infants'
            WHEN "SUBCATEGORY" = 'kid' THEN 'kids'
            WHEN "SUBCATEGORY" = 'mens watch' THEN 'mens-watches'
            WHEN "SUBCATEGORY" = 'musical' THEN 'musicals'
            WHEN "SUBCATEGORY" = 'optic' THEN 'optics'
            WHEN "SUBCATEGORY" = 'pant' THEN 'pants'
            WHEN "SUBCATEGORY" = 'scanner' THEN 'scanners'
            WHEN "SUBCATEGORY" = 'art' THEN 'arts'
            WHEN "SUBCATEGORY" = 'birdal' THEN 'bridal'
            WHEN "SUBCATEGORY" = 'bracelet' THEN 'bracelets'
            WHEN "SUBCATEGORY" = 'curtains/drapes' THEN 'curtains-and-drapes'
            WHEN "SUBCATEGORY" = 'disk drives' THEN 'disk-drives'
            WHEN "SUBCATEGORY" = 'men' THEN 'mens'
            WHEN "SUBCATEGORY" = 'pendant' THEN 'pendants'
            WHEN "SUBCATEGORY" = 'ring' THEN 'rings'
            WHEN "SUBCATEGORY" = 'sport' THEN 'sports'
            WHEN "SUBCATEGORY" = 'stereo' THEN 'stereos'
            WHEN "SUBCATEGORY" = 'television' THEN 'televisions'
            WHEN "SUBCATEGORY" = 'pop' THEN 'Pop'
            WHEN "SUBCATEGORY" = 'rock' THEN 'Rock'
            WHEN "SUBCATEGORY" = 'classical' THEN 'Classical'
            WHEN "SUBCATEGORY" = 'country' THEN 'Country'
            WHEN "SUBCATEGORY" = 'womens' THEN 'women''s watches'
            WHEN "SUBCATEGORY" = 'womens watch' THEN 'women''s watches'
            ELSE "SUBCATEGORY"
        END AS "SUBCATEGORY",
        "CATEGORY_ID",
        "CATEGORY_NAME",
        "MANUFACTURER_ID",
        CASE
            WHEN "MANUFACTURER" = 'ableantiable' THEN ''
            WHEN "MANUFACTURER" = 'anticallyeing' THEN ''
            WHEN "MANUFACTURER" = 'antieseese' THEN ''
            WHEN "MANUFACTURER" = 'ationoughtought' THEN ''
            WHEN "MANUFACTURER" = 'callyeingeing' THEN ''
            WHEN "MANUFACTURER" = 'callyese' THEN ''
            WHEN "MANUFACTURER" = 'priantianti' THEN ''
            WHEN "MANUFACTURER" = 'ableablepri' THEN ''
            WHEN "MANUFACTURER" = 'ablebarpri' THEN ''
            WHEN "MANUFACTURER" = 'ableoughtese' THEN ''
            WHEN "MANUFACTURER" = 'antieingn st' THEN ''
            WHEN "MANUFACTURER" = 'antin stn st' THEN ''
            WHEN "MANUFACTURER" = 'ationcallyought' THEN ''
            WHEN "MANUFACTURER" = 'ationeseought' THEN ''
            WHEN "MANUFACTURER" = 'barableable' THEN ''
            WHEN "MANUFACTURER" = 'barcallyese' THEN ''
            WHEN "MANUFACTURER" = 'bareseought' THEN ''
            WHEN "MANUFACTURER" = 'barprically' THEN ''
            WHEN "MANUFACTURER" = 'callyation' THEN ''
            WHEN "MANUFACTURER" = 'callyationpri' THEN ''
            WHEN "MANUFACTURER" = 'eseableought' THEN ''
            WHEN "MANUFACTURER" = 'eseantiable' THEN ''
            WHEN "MANUFACTURER" = 'eseantin st' THEN ''
            WHEN "MANUFACTURER" = 'esen stable' THEN ''
            WHEN "MANUFACTURER" = 'n stcallyought' THEN ''
            WHEN "MANUFACTURER" = 'priprically' THEN ''
            WHEN "MANUFACTURER" = 'ableablecally' THEN ''
            WHEN "MANUFACTURER" = 'ableanti' THEN ''
            WHEN "MANUFACTURER" = 'ablecallycally' THEN ''
            WHEN "MANUFACTURER" = 'antiablecally' THEN ''
            WHEN "MANUFACTURER" = 'antiationable' THEN ''
            WHEN "MANUFACTURER" = 'antieingable' THEN ''
            WHEN "MANUFACTURER" = 'antieingation' THEN ''
            WHEN "MANUFACTURER" = 'antieingpri' THEN ''
            WHEN "MANUFACTURER" = 'ationbarn st' THEN ''
            WHEN "MANUFACTURER" = 'ationcallyn st' THEN ''
            WHEN "MANUFACTURER" = 'ationeing' THEN ''
            WHEN "MANUFACTURER" = 'ationeingought' THEN ''
            WHEN "MANUFACTURER" = 'ationese' THEN ''
            WHEN "MANUFACTURER" = 'ationeseanti' THEN ''
            WHEN "MANUFACTURER" = 'barantipri' THEN ''
            WHEN "MANUFACTURER" = 'barcallyable' THEN ''
            WHEN "MANUFACTURER" = 'bareseanti' THEN ''
            WHEN "MANUFACTURER" = 'barn stable' THEN ''
            WHEN "MANUFACTURER" = 'callyable' THEN ''
            WHEN "MANUFACTURER" = 'callyantiought' THEN ''
            WHEN "MANUFACTURER" = 'callyationought' THEN ''
            WHEN "MANUFACTURER" = 'callybarpri' THEN ''
            WHEN "MANUFACTURER" = 'eingcallypri' THEN ''
            WHEN "MANUFACTURER" = 'eingpripri' THEN ''
            WHEN "MANUFACTURER" = 'eseanti' THEN ''
            WHEN "MANUFACTURER" = 'eseantiought' THEN ''
            WHEN "MANUFACTURER" = 'esecallyable' THEN ''
            WHEN "MANUFACTURER" = 'esecallypri' THEN ''
            WHEN "MANUFACTURER" = 'eseoughtable' THEN ''
            WHEN "MANUFACTURER" = 'esepriation' THEN ''
            WHEN "MANUFACTURER" = 'n stationese' THEN ''
            WHEN "MANUFACTURER" = 'n steingese' THEN ''
            WHEN "MANUFACTURER" = 'n steseeing' THEN ''
            WHEN "MANUFACTURER" = 'oughtableought' THEN ''
            WHEN "MANUFACTURER" = 'oughtbarpri' THEN ''
            WHEN "MANUFACTURER" = 'oughtpriese' THEN ''
            WHEN "MANUFACTURER" = 'priantically' THEN ''
            WHEN "MANUFACTURER" = 'prieseese' THEN ''
            WHEN "MANUFACTURER" = 'prioughtese' THEN ''
            WHEN "MANUFACTURER" = 'priprin st' THEN ''
            ELSE "MANUFACTURER"
        END AS "MANUFACTURER",
        CASE
            WHEN "SIZE_" = 'petite' THEN 'small'
            WHEN "SIZE_" = 'extra large' THEN 'extralarge'
            WHEN "SIZE_" = 'economy' THEN 'small'
            ELSE "SIZE_"
        END AS "SIZE_",
        "FORMULATION_CODE",
        "COLOR",
        CASE
            WHEN "UNIT_OF_MEASURE" = 'Lb' THEN 'Pound'
            WHEN "UNIT_OF_MEASURE" = 'Oz' THEN 'Ounce'
            WHEN "UNIT_OF_MEASURE" = 'Tsp' THEN 'Teaspoon'
            WHEN "UNIT_OF_MEASURE" = 'Tbl' THEN 'Tablespoon'
            WHEN "UNIT_OF_MEASURE" = 'Unknown' THEN ''
            ELSE "UNIT_OF_MEASURE"
        END AS "UNIT_OF_MEASURE",
        "CONTAINER_TYPE",
        "MANAGER_ID",
        CASE
            WHEN "PRODUCT_NAME" = 'ableable' THEN 'able'
            WHEN "PRODUCT_NAME" = 'ableanti' THEN 'able'
            WHEN "PRODUCT_NAME" = 'ableation' THEN 'able'
            WHEN "PRODUCT_NAME" = 'ablecally' THEN 'able'
            WHEN "PRODUCT_NAME" = 'ableeing' THEN 'able'
            WHEN "PRODUCT_NAME" = 'ableese' THEN 'able'
            WHEN "PRODUCT_NAME" = 'ablen st' THEN 'able'
            WHEN "PRODUCT_NAME" = 'ableought' THEN 'able'
            WHEN "PRODUCT_NAME" = 'ablepri' THEN 'able'
            WHEN "PRODUCT_NAME" = 'antiable' THEN 'anti'
            WHEN "PRODUCT_NAME" = 'antianti' THEN 'anti'
            WHEN "PRODUCT_NAME" = 'antiation' THEN 'anti'
            WHEN "PRODUCT_NAME" = 'antically' THEN 'anti'
            WHEN "PRODUCT_NAME" = 'antieing' THEN 'anti'
            WHEN "PRODUCT_NAME" = 'antiese' THEN 'anti'
            WHEN "PRODUCT_NAME" = 'antin st' THEN 'anti'
            WHEN "PRODUCT_NAME" = 'antiought' THEN 'anti'
            WHEN "PRODUCT_NAME" = 'antipri' THEN 'anti'
            WHEN "PRODUCT_NAME" = 'ationable' THEN 'ation'
            WHEN "PRODUCT_NAME" = 'ationanti' THEN 'ation'
            WHEN "PRODUCT_NAME" = 'ationation' THEN 'ation'
            WHEN "PRODUCT_NAME" = 'ationcally' THEN 'ation'
            WHEN "PRODUCT_NAME" = 'ationeing' THEN 'ation'
            WHEN "PRODUCT_NAME" = 'ationese' THEN 'ation'
            WHEN "PRODUCT_NAME" = 'ationn st' THEN 'ation'
            WHEN "PRODUCT_NAME" = 'ationought' THEN 'ation'
            WHEN "PRODUCT_NAME" = 'ationpri' THEN 'ation'
            WHEN "PRODUCT_NAME" = 'barable' THEN 'bar'
            WHEN "PRODUCT_NAME" = 'baranti' THEN 'bar'
            WHEN "PRODUCT_NAME" = 'baration' THEN 'bar'
            WHEN "PRODUCT_NAME" = 'barcally' THEN 'bar'
            WHEN "PRODUCT_NAME" = 'bareing' THEN 'bar'
            WHEN "PRODUCT_NAME" = 'barese' THEN 'bar'
            WHEN "PRODUCT_NAME" = 'barn st' THEN 'bar'
            WHEN "PRODUCT_NAME" = 'barought' THEN 'bar'
            WHEN "PRODUCT_NAME" = 'barpri' THEN 'bar'
            WHEN "PRODUCT_NAME" = 'callyable' THEN 'cally'
            WHEN "PRODUCT_NAME" = 'callyanti' THEN 'cally'
            WHEN "PRODUCT_NAME" = 'callyation' THEN 'cally'
            WHEN "PRODUCT_NAME" = 'callycally' THEN 'cally'
            WHEN "PRODUCT_NAME" = 'callyeing' THEN 'cally'
            WHEN "PRODUCT_NAME" = 'callyese' THEN 'cally'
            WHEN "PRODUCT_NAME" = 'callyn st' THEN 'cally'
            WHEN "PRODUCT_NAME" = 'callyought' THEN 'cally'
            WHEN "PRODUCT_NAME" = 'callypri' THEN 'cally'
            WHEN "PRODUCT_NAME" = 'eingn st' THEN 'eingst'
            WHEN "PRODUCT_NAME" = 'esen st' THEN 'esest'
            WHEN "PRODUCT_NAME" = 'n st' THEN 'st'
            WHEN "PRODUCT_NAME" = 'n stable' THEN 'stable'
            WHEN "PRODUCT_NAME" = 'n stanti' THEN 'stanti'
            WHEN "PRODUCT_NAME" = 'n station' THEN 'station'
            WHEN "PRODUCT_NAME" = 'n stcally' THEN 'stcally'
            WHEN "PRODUCT_NAME" = 'n steing' THEN 'sting'
            WHEN "PRODUCT_NAME" = 'n stese' THEN 'stese'
            WHEN "PRODUCT_NAME" = 'n stn st' THEN 'stst'
            WHEN "PRODUCT_NAME" = 'n stought' THEN 'stought'
            WHEN "PRODUCT_NAME" = 'n stpri' THEN 'stpri'
            WHEN "PRODUCT_NAME" = 'oughtn st' THEN 'oughtst'
            WHEN "PRODUCT_NAME" = 'prin st' THEN 'prist'
            WHEN "PRODUCT_NAME" = 'eseeing' THEN 'eseing'
            WHEN "PRODUCT_NAME" = 'eseese' THEN 'esese'
            WHEN "PRODUCT_NAME" = 'oughteing' THEN 'oughting'
            WHEN "PRODUCT_NAME" = 'prieing' THEN 'pring'
            ELSE "PRODUCT_NAME"
        END AS "PRODUCT_NAME",
        CASE
            WHEN "ITEM_DESCRIPTION" = 'Particu' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Periods provide as distinctive, little ingredients; therefore social boys must not leave slightl' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Pictures see even healthy designs. Considerable, visual concessions last controversia' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Political parents know right; perfec' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Powers will not get influences. Electoral ports should show low, annual chains. Now young visitors may pose now however final pages. Bitterly right children suit increasing, leading el' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Principles secure best. Relevant foods mislead there so prime relations. Quickly convenient times may think men. Interesting, other bodies w' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Quite different services promote all the same. Private, marginal colleagues play of course similar, different girls. French, local girls reap here. Bad movies shorten relatively. Terms' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Rational, electronic photographs worry. Other, similar pounds might enable suddenly middle, growing months. Military, desperate funds shall not know then also various germans. Heavy' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Regional, indian casualties shall say of course legal relations. Endless, cultural animals dislike new, possible resources. Socialist, very plans wonder precisely available star' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Seats could come confident, moder' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Sensitive requirements will not supply all intelligent effects. U' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Serious, little suppliers object hot, new weeks. Votes shall prevail yet. Windows understand equal members. Average consequences go at least pales' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Short, bitter heads like then events. Assessments may hide just. Wild european books should maintain yesterday useful natural workers. Late responsible estimates would' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'So fair schools must go problems. Children should not paint in a photographs. Great, late senten' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'So new campaigns teach more straight early indians. International offices shake actual ministers. New, liable theories can see expenses. Nice, imperial teams wo' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Social, simple se' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Sure available terms know just nice, human officials. Problems used to receive. United, cheap changes get better british houses. Full bars shift often important readers; inc' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Systems loosen special, easy partners. Prime, noble windows condemn effective, nation' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Thus present women should hear for a shares; leaders must come early; immediate men will want exactly young groups. Insects may ask narrow variations. New leaders should deal' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'True potatoes sound equal heads' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Twin, particular aspects will accept only on' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Video-taped, ch' THEN ''
            WHEN "ITEM_DESCRIPTION" = 'Wide clear weeks join surely medical others; again dull effects stretch. Only, great needs may brin' THEN ''
            ELSE "ITEM_DESCRIPTION"
        END AS "ITEM_DESCRIPTION"
    FROM "item_renamed_trimmed"
),

"item_renamed_trimmed_cleaned_null" AS (
    -- NULL Imputation: Impute Null to Disguised Missing Values
    -- MANUFACTURER: ['']
    -- UNIT_OF_MEASURE: ['']
    -- ITEM_DESCRIPTION: ['']
    SELECT 
        CASE
            WHEN "MANUFACTURER" = '' THEN NULL
            ELSE "MANUFACTURER"
        END AS "MANUFACTURER",
        CASE
            WHEN "UNIT_OF_MEASURE" = '' THEN NULL
            ELSE "UNIT_OF_MEASURE"
        END AS "UNIT_OF_MEASURE",
        CASE
            WHEN "ITEM_DESCRIPTION" = '' THEN NULL
            ELSE "ITEM_DESCRIPTION"
        END AS "ITEM_DESCRIPTION",
        "MANUFACTURER_ID",
        "CONTAINER_TYPE",
        "SUBCATEGORY",
        "CATEGORY_NAME",
        "CATEGORY_ID",
        "RECORD_END_DATE",
        "MANAGER_ID",
        "SIZE_",
        "ITEM_SURROGATE_KEY",
        "CURRENT_PRICE",
        "RECORD_START_DATE",
        "FORMULATION_CODE",
        "COLOR",
        "ITEM_ID",
        "BRAND_ID",
        "WHOLESALE_COST",
        "SUBCATEGORY_ID",
        "BRAND_NAME",
        "PRODUCT_NAME"
    FROM "item_renamed_trimmed_cleaned"
),

"item_renamed_trimmed_cleaned_null_casted" AS (
    -- Column Type Casting: 
    -- BRAND_ID: from INT to VARCHAR
    -- RECORD_END_DATE: from VARCHAR to DATE
    -- RECORD_START_DATE: from VARCHAR to DATE
    SELECT
        "MANUFACTURER",
        "UNIT_OF_MEASURE",
        "ITEM_DESCRIPTION",
        "MANUFACTURER_ID",
        "CONTAINER_TYPE",
        "SUBCATEGORY",
        "CATEGORY_NAME",
        "CATEGORY_ID",
        "MANAGER_ID",
        "SIZE_",
        "ITEM_SURROGATE_KEY",
        "CURRENT_PRICE",
        "FORMULATION_CODE",
        "COLOR",
        "ITEM_ID",
        "WHOLESALE_COST",
        "SUBCATEGORY_ID",
        "BRAND_NAME",
        "PRODUCT_NAME",
        CAST("BRAND_ID" AS VARCHAR) AS "BRAND_ID",
        CAST("RECORD_END_DATE" AS DATE) AS "RECORD_END_DATE",
        CAST("RECORD_START_DATE" AS DATE) AS "RECORD_START_DATE"
    FROM "item_renamed_trimmed_cleaned_null"
),

"item_renamed_trimmed_cleaned_null_casted_missing_handled" AS (
    -- Handling missing values: There are 4 columns with unacceptable missing values
    -- ITEM_DESCRIPTION has 23.23 percent missing. Strategy: 🔄 Unchanged
    -- MANUFACTURER has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- SIZE_ has 52.53 percent missing. Strategy: 🔄 Unchanged
    -- UNIT_OF_MEASURE has 5.05 percent missing. Strategy: 🔄 Unchanged
    SELECT
        "UNIT_OF_MEASURE",
        "ITEM_DESCRIPTION",
        "MANUFACTURER_ID",
        "CONTAINER_TYPE",
        "SUBCATEGORY",
        "CATEGORY_NAME",
        "CATEGORY_ID",
        "MANAGER_ID",
        "SIZE_",
        "ITEM_SURROGATE_KEY",
        "CURRENT_PRICE",
        "FORMULATION_CODE",
        "COLOR",
        "ITEM_ID",
        "WHOLESALE_COST",
        "SUBCATEGORY_ID",
        "BRAND_NAME",
        "PRODUCT_NAME",
        "BRAND_ID",
        "RECORD_END_DATE",
        "RECORD_START_DATE"
    FROM "item_renamed_trimmed_cleaned_null_casted"
)

-- COCOON BLOCK END
SELECT * FROM "item_renamed_trimmed_cleaned_null_casted_missing_handled"

stg_item.yml (Document the table)

version: 2
models:
- name: stg_item
  description: The table is about items for sale. It includes details such as item
    ID, price, cost, brand, category, size, color, and product name. Each row represents
    a unique item with its characteristics. The table tracks item information over
    time with start and end dates. It likely serves as a product database for a retail
    or e-commerce system.
  columns:
  - name: UNIT_OF_MEASURE
    description: Unit of measurement for the item
    tests:
    - not_null
  - name: ITEM_DESCRIPTION
    description: Detailed description of the item
    tests:
    - not_null
  - name: MANUFACTURER_ID
    description: Unique identifier for the manufacturer
    tests:
    - not_null
  - name: CONTAINER_TYPE
    description: Container type for the item
    tests:
    - not_null
    - accepted_values:
        values:
        - Unknown
        - Box
        - Bag
        - Bottle
        - Can
        - Jar
        - Tube
        - Pouch
        - Carton
        - Crate
        - Barrel
        - Drum
        - Sack
        - Tub
        - Tank
        - Pallet
        - Tray
        - Envelope
        - Bin
        - Basket
        - Container (generic)
  - name: SUBCATEGORY
    description: Subcategory or class of the item
    tests:
    - not_null
  - name: CATEGORY_NAME
    description: Main category of the item
    tests:
    - not_null
    - accepted_values:
        values:
        - Children
        - Men
        - Women
        - Jewelry
        - Electronics
        - Books
        - Music
        - Shoes
        - Sports
        - Home
        - Beauty
        - Toys
        - Automotive
        - Garden
        - Pet Supplies
        - Food & Grocery
        - Health
  - name: CATEGORY_ID
    description: Unique identifier for the category
    tests:
    - not_null
  - name: MANAGER_ID
    description: Identifier for the item manager
    tests:
    - not_null
  - name: SIZE_
    description: Size of the item
    tests:
    - not_null
    - accepted_values:
        values:
        - tiny
        - small
        - medium
        - large
        - extralarge
        - huge
        - gigantic
  - name: ITEM_SURROGATE_KEY
    description: Surrogate key for the item
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column appears to be a unique identifier for each item. For
        this table, each row represents a unique item or a version of an item over
        time. ITEM_SURROGATE_KEY is unique across rows in the given sample, and its
        name suggests it's designed to be a unique identifier.
  - name: CURRENT_PRICE
    description: Current selling price of the item
    tests:
    - not_null
  - name: FORMULATION_CODE
    description: Unique product formulation code
    tests:
    - not_null
  - name: COLOR
    description: Color of the item
    tests:
    - not_null
  - name: ITEM_ID
    description: Unique alphanumeric identifier for the item
    tests:
    - not_null
  - name: WHOLESALE_COST
    description: Wholesale cost of the item
    tests:
    - not_null
  - name: SUBCATEGORY_ID
    description: Unique identifier for the subcategory
    tests:
    - not_null
  - name: BRAND_NAME
    description: Brand name of the item
    tests:
    - not_null
  - name: PRODUCT_NAME
    description: Name of the product
    tests:
    - not_null
  - name: BRAND_ID
    description: Unique identifier for the brand
    tests:
    - not_null
  - name: RECORD_END_DATE
    description: End date of the item record
    cocoon_meta:
      missing_acceptable: Still active records don't have an end date.
  - name: RECORD_START_DATE
    description: Start date of the item record
    tests:
    - not_null

stg_inventory (first 100 rows)

	item_id	warehouse_id	quantity_on_hand	inventory_date
0	1	1	211.0	4850816.0
1	2	1	235.0	4850816.0
2	4	1	859.0	4850816.0
3	7	1	704.0	4850816.0
4	8	1	891.0	4850816.0
5	10	1	834.0	4850816.0
6	13	1	591.0	4850816.0
7	14	1	579.0	4850816.0
8	16	1	622.0	4850816.0
9	19	1	745.0	4850816.0
10	20	1	405.0	4850816.0
11	22	1	NaN	4850816.0
12	25	1	676.0	4850816.0
13	26	1	865.0	4850816.0
14	28	1	24.0	4850816.0
15	31	1	170.0	4850816.0
16	32	1	797.0	4850816.0
17	34	1	332.0	4850816.0
18	37	1	618.0	4850816.0
19	38	1	909.0	4850816.0
20	40	1	738.0	4850816.0
21	43	1	699.0	4850816.0
22	44	1	975.0	4850816.0
23	46	1	551.0	4850816.0
24	49	1	857.0	4850816.0
25	50	1	894.0	4850816.0
26	52	1	279.0	4850816.0
27	55	1	206.0	4850816.0
28	56	1	746.0	4850816.0
29	58	1	NaN	4850816.0
30	61	1	154.0	4850816.0
31	62	1	888.0	4850816.0
32	64	1	773.0	4850816.0
33	67	1	107.0	4850816.0
34	68	1	801.0	4850816.0
35	70	1	749.0	4850816.0
36	73	1	419.0	4850816.0
37	74	1	541.0	4850816.0
38	76	1	359.0	4850816.0
39	79	1	578.0	4850816.0
40	80	1	42.0	4850816.0
41	82	1	83.0	4850816.0
42	85	1	192.0	4850816.0
43	86	1	567.0	4850816.0
44	88	1	710.0	4850816.0
45	91	1	282.0	4850816.0
46	92	1	631.0	4850816.0
47	94	1	587.0	4850816.0
48	97	1	645.0	4850816.0
49	98	1	667.0	4850816.0
50	100	1	26.0	4850816.0
51	103	1	224.0	4850816.0
52	104	1	901.0	4850816.0
53	106	1	887.0	4850816.0
54	109	1	455.0	4850816.0
55	110	1	784.0	4850816.0
56	112	1	742.0	4850816.0
57	115	1	978.0	4850816.0
58	116	1	207.0	4850816.0
59	118	1	462.0	4850816.0
60	121	1	406.0	4850816.0
61	122	1	559.0	4850816.0
62	124	1	999.0	4850816.0
63	127	1	870.0	4850816.0
64	128	1	982.0	4850816.0
65	130	1	700.0	4850816.0
66	133	1	26.0	4850816.0
67	134	1	356.0	4850816.0
68	136	1	143.0	4850816.0
69	139	1	838.0	4850816.0
70	140	1	846.0	4850816.0
71	142	1	657.0	4850816.0
72	145	1	181.0	4850816.0
73	146	1	730.0	4850816.0
74	148	1	49.0	4850816.0
75	151	1	652.0	4850816.0
76	152	1	861.0	4850816.0
77	154	1	329.0	4850816.0
78	157	1	286.0	4850816.0
79	158	1	NaN	4850816.0
80	160	1	62.0	4850816.0
81	163	1	894.0	4850816.0
82	164	1	463.0	4850816.0
83	166	1	458.0	4850816.0
84	169	1	696.0	4850816.0
85	170	1	450.0	4850816.0
86	172	1	842.0	4850816.0
87	175	1	79.0	4850816.0
88	176	1	260.0	4850816.0
89	178	1	894.0	4850816.0
90	181	1	4.0	4850816.0
91	182	1	281.0	4850816.0
92	184	1	797.0	4850816.0
93	187	1	981.0	4850816.0
94	188	1	58.0	4850816.0
95	190	1	834.0	4850816.0
96	193	1	54.0	4850816.0
97	194	1	856.0	4850816.0
98	196	1	803.0	4850816.0

stg_inventory.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"inventory_renamed" AS (
    -- Rename: Renaming columns
    -- INV_DATE_SK -> inventory_date
    -- INV_ITEM_SK -> item_id
    -- INV_WAREHOUSE_SK -> warehouse_id
    -- INV_QUANTITY_ON_HAND -> quantity_on_hand
    SELECT 
        "INV_DATE_SK" AS "inventory_date",
        "INV_ITEM_SK" AS "item_id",
        "INV_WAREHOUSE_SK" AS "warehouse_id",
        "INV_QUANTITY_ON_HAND" AS "quantity_on_hand"
    FROM "inventory"
),

"inventory_renamed_casted" AS (
    -- Column Type Casting: 
    -- inventory_date: from INT to DATE
    SELECT
        "item_id",
        "warehouse_id",
        "quantity_on_hand",
        julian(DATE '1858-11-17' + CAST("inventory_date" AS INTEGER)) AS "inventory_date"
    FROM "inventory_renamed"
)

-- COCOON BLOCK END
SELECT * FROM "inventory_renamed_casted"

stg_inventory.yml (Document the table)

version: 2
models:
- name: stg_inventory
  description: The table is about inventory. It contains details of inventory items
    in warehouses. Each record represents an item's quantity on hand at a specific
    warehouse on a particular date. The table includes date, item, warehouse, and
    quantity information. This allows tracking of inventory levels across different
    locations and times.
  columns:
  - name: item_id
    description: Unique identifier for inventory item
    tests:
    - not_null
  - name: warehouse_id
    description: Unique identifier for warehouse location
    tests:
    - not_null
  - name: quantity_on_hand
    description: Current quantity of item in stock
    tests:
    - not_null
  - name: inventory_date
    description: Date of inventory record
    tests:
    - not_null

stg_time_dim (first 100 rows)

	time_surrogate_key	time_id	seconds_since_midnight	minute_	second_	time_period	shift	sub_shift	meal_time
0	0	AAAAAAAABAAAAAAA	0	0	0	AM	third	night	None
1	1	AAAAAAAACAAAAAAA	1	0	1	AM	third	night	None
2	2	AAAAAAAADAAAAAAA	2	0	2	AM	third	night	None
3	3	AAAAAAAAEAAAAAAA	3	0	3	AM	third	night	None
4	4	AAAAAAAAFAAAAAAA	4	0	4	AM	third	night	None
5	5	AAAAAAAAGAAAAAAA	5	0	5	AM	third	night	None
6	6	AAAAAAAAHAAAAAAA	6	0	6	AM	third	night	None
7	7	AAAAAAAAIAAAAAAA	7	0	7	AM	third	night	None
8	8	AAAAAAAAJAAAAAAA	8	0	8	AM	third	night	None
9	9	AAAAAAAAKAAAAAAA	9	0	9	AM	third	night	None
10	10	AAAAAAAALAAAAAAA	10	0	10	AM	third	night	None
11	11	AAAAAAAAMAAAAAAA	11	0	11	AM	third	night	None
12	12	AAAAAAAANAAAAAAA	12	0	12	AM	third	night	None
13	13	AAAAAAAAOAAAAAAA	13	0	13	AM	third	night	None
14	14	AAAAAAAAPAAAAAAA	14	0	14	AM	third	night	None
15	15	AAAAAAAAABAAAAAA	15	0	15	AM	third	night	None
16	16	AAAAAAAABBAAAAAA	16	0	16	AM	third	night	None
17	17	AAAAAAAACBAAAAAA	17	0	17	AM	third	night	None
18	18	AAAAAAAADBAAAAAA	18	0	18	AM	third	night	None
19	19	AAAAAAAAEBAAAAAA	19	0	19	AM	third	night	None
20	20	AAAAAAAAFBAAAAAA	20	0	20	AM	third	night	None
21	21	AAAAAAAAGBAAAAAA	21	0	21	AM	third	night	None
22	22	AAAAAAAAHBAAAAAA	22	0	22	AM	third	night	None
23	23	AAAAAAAAIBAAAAAA	23	0	23	AM	third	night	None
24	24	AAAAAAAAJBAAAAAA	24	0	24	AM	third	night	None
25	25	AAAAAAAAKBAAAAAA	25	0	25	AM	third	night	None
26	26	AAAAAAAALBAAAAAA	26	0	26	AM	third	night	None
27	27	AAAAAAAAMBAAAAAA	27	0	27	AM	third	night	None
28	28	AAAAAAAANBAAAAAA	28	0	28	AM	third	night	None
29	29	AAAAAAAAOBAAAAAA	29	0	29	AM	third	night	None
30	30	AAAAAAAAPBAAAAAA	30	0	30	AM	third	night	None
31	31	AAAAAAAAACAAAAAA	31	0	31	AM	third	night	None
32	32	AAAAAAAABCAAAAAA	32	0	32	AM	third	night	None
33	33	AAAAAAAACCAAAAAA	33	0	33	AM	third	night	None
34	34	AAAAAAAADCAAAAAA	34	0	34	AM	third	night	None
35	35	AAAAAAAAECAAAAAA	35	0	35	AM	third	night	None
36	36	AAAAAAAAFCAAAAAA	36	0	36	AM	third	night	None
37	37	AAAAAAAAGCAAAAAA	37	0	37	AM	third	night	None
38	38	AAAAAAAAHCAAAAAA	38	0	38	AM	third	night	None
39	39	AAAAAAAAICAAAAAA	39	0	39	AM	third	night	None
40	40	AAAAAAAAJCAAAAAA	40	0	40	AM	third	night	None
41	41	AAAAAAAAKCAAAAAA	41	0	41	AM	third	night	None
42	42	AAAAAAAALCAAAAAA	42	0	42	AM	third	night	None
43	43	AAAAAAAAMCAAAAAA	43	0	43	AM	third	night	None
44	44	AAAAAAAANCAAAAAA	44	0	44	AM	third	night	None
45	45	AAAAAAAAOCAAAAAA	45	0	45	AM	third	night	None
46	46	AAAAAAAAPCAAAAAA	46	0	46	AM	third	night	None
47	47	AAAAAAAAADAAAAAA	47	0	47	AM	third	night	None
48	48	AAAAAAAABDAAAAAA	48	0	48	AM	third	night	None
49	49	AAAAAAAACDAAAAAA	49	0	49	AM	third	night	None
50	50	AAAAAAAADDAAAAAA	50	0	50	AM	third	night	None
51	51	AAAAAAAAEDAAAAAA	51	0	51	AM	third	night	None
52	52	AAAAAAAAFDAAAAAA	52	0	52	AM	third	night	None
53	53	AAAAAAAAGDAAAAAA	53	0	53	AM	third	night	None
54	54	AAAAAAAAHDAAAAAA	54	0	54	AM	third	night	None
55	55	AAAAAAAAIDAAAAAA	55	0	55	AM	third	night	None
56	56	AAAAAAAAJDAAAAAA	56	0	56	AM	third	night	None
57	57	AAAAAAAAKDAAAAAA	57	0	57	AM	third	night	None
58	58	AAAAAAAALDAAAAAA	58	0	58	AM	third	night	None
59	59	AAAAAAAAMDAAAAAA	59	0	59	AM	third	night	None
60	60	AAAAAAAANDAAAAAA	60	1	0	AM	third	night	None
61	61	AAAAAAAAODAAAAAA	61	1	1	AM	third	night	None
62	62	AAAAAAAAPDAAAAAA	62	1	2	AM	third	night	None
63	63	AAAAAAAAAEAAAAAA	63	1	3	AM	third	night	None
64	64	AAAAAAAABEAAAAAA	64	1	4	AM	third	night	None
65	65	AAAAAAAACEAAAAAA	65	1	5	AM	third	night	None
66	66	AAAAAAAADEAAAAAA	66	1	6	AM	third	night	None
67	67	AAAAAAAAEEAAAAAA	67	1	7	AM	third	night	None
68	68	AAAAAAAAFEAAAAAA	68	1	8	AM	third	night	None
69	69	AAAAAAAAGEAAAAAA	69	1	9	AM	third	night	None
70	70	AAAAAAAAHEAAAAAA	70	1	10	AM	third	night	None
71	71	AAAAAAAAIEAAAAAA	71	1	11	AM	third	night	None
72	72	AAAAAAAAJEAAAAAA	72	1	12	AM	third	night	None
73	73	AAAAAAAAKEAAAAAA	73	1	13	AM	third	night	None
74	74	AAAAAAAALEAAAAAA	74	1	14	AM	third	night	None
75	75	AAAAAAAAMEAAAAAA	75	1	15	AM	third	night	None
76	76	AAAAAAAANEAAAAAA	76	1	16	AM	third	night	None
77	77	AAAAAAAAOEAAAAAA	77	1	17	AM	third	night	None
78	78	AAAAAAAAPEAAAAAA	78	1	18	AM	third	night	None
79	79	AAAAAAAAAFAAAAAA	79	1	19	AM	third	night	None
80	80	AAAAAAAABFAAAAAA	80	1	20	AM	third	night	None
81	81	AAAAAAAACFAAAAAA	81	1	21	AM	third	night	None
82	82	AAAAAAAADFAAAAAA	82	1	22	AM	third	night	None
83	83	AAAAAAAAEFAAAAAA	83	1	23	AM	third	night	None
84	84	AAAAAAAAFFAAAAAA	84	1	24	AM	third	night	None
85	85	AAAAAAAAGFAAAAAA	85	1	25	AM	third	night	None
86	86	AAAAAAAAHFAAAAAA	86	1	26	AM	third	night	None
87	87	AAAAAAAAIFAAAAAA	87	1	27	AM	third	night	None
88	88	AAAAAAAAJFAAAAAA	88	1	28	AM	third	night	None
89	89	AAAAAAAAKFAAAAAA	89	1	29	AM	third	night	None
90	90	AAAAAAAALFAAAAAA	90	1	30	AM	third	night	None
91	91	AAAAAAAAMFAAAAAA	91	1	31	AM	third	night	None
92	92	AAAAAAAANFAAAAAA	92	1	32	AM	third	night	None
93	93	AAAAAAAAOFAAAAAA	93	1	33	AM	third	night	None
94	94	AAAAAAAAPFAAAAAA	94	1	34	AM	third	night	None
95	95	AAAAAAAAAGAAAAAA	95	1	35	AM	third	night	None
96	96	AAAAAAAABGAAAAAA	96	1	36	AM	third	night	None
97	97	AAAAAAAACGAAAAAA	97	1	37	AM	third	night	None
98	98	AAAAAAAADGAAAAAA	98	1	38	AM	third	night	None

stg_time_dim.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"time_dim_renamed" AS (
    -- Rename: Renaming columns
    -- T_TIME_SK -> time_surrogate_key
    -- T_TIME_ID -> time_id
    -- T_TIME -> seconds_since_midnight
    -- T_HOUR -> hour_
    -- T_MINUTE -> minute_
    -- T_SECOND -> second_
    -- T_AM_PM -> time_period
    -- T_SHIFT -> shift
    -- T_SUB_SHIFT -> sub_shift
    -- T_MEAL_TIME -> meal_time
    SELECT 
        "T_TIME_SK" AS "time_surrogate_key",
        "T_TIME_ID" AS "time_id",
        "T_TIME" AS "seconds_since_midnight",
        "T_HOUR" AS "hour_",
        "T_MINUTE" AS "minute_",
        "T_SECOND" AS "second_",
        "T_AM_PM" AS "time_period",
        "T_SHIFT" AS "shift",
        "T_SUB_SHIFT" AS "sub_shift",
        "T_MEAL_TIME" AS "meal_time"
    FROM "time_dim"
),

"time_dim_renamed_casted" AS (
    -- Column Type Casting: 
    -- meal_time: from DECIMAL to VARCHAR
    SELECT
        "time_surrogate_key",
        "time_id",
        "seconds_since_midnight",
        "hour_",
        "minute_",
        "second_",
        "time_period",
        "shift",
        "sub_shift",
        CAST("meal_time" AS VARCHAR) AS "meal_time"
    FROM "time_dim_renamed"
)

-- COCOON BLOCK END
SELECT * FROM "time_dim_renamed_casted"

stg_time_dim.yml (Document the table)

version: 2
models:
- name: stg_time_dim
  description: The table is about time details. It includes a time ID, hour, minute,
    second, and AM/PM indicator. It also categorizes time into shifts, sub-shifts,
    and meal times. The table appears to break down each moment of the day into various
    time-related attributes for analysis purposes.
  columns:
  - name: time_surrogate_key
    description: Surrogate key for time dimension
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key for the time dimension. For this
        table, each row represents a unique second of the day. A surrogate key is
        designed to be a unique identifier for each row in a dimension table, so it
        should be unique across rows.
  - name: time_id
    description: Unique identifier for each time entry
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is described as a unique identifier for each time entry.
        For this table, each row represents a unique second of the day. Based on the
        samples, it appears to be a unique alphanumeric code for each second. It should
        be unique across rows.
  - name: seconds_since_midnight
    description: Time in seconds since midnight
    tests:
    - not_null
  - name: hour_
    description: Hour of the day in 24-hour format
    tests:
    - not_null
  - name: minute_
    description: Minute of the hour
    tests:
    - not_null
  - name: second_
    description: Second of the minute
    tests:
    - not_null
  - name: time_period
    description: Indicates whether time is AM or PM
    tests:
    - not_null
    - accepted_values:
        values:
        - AM
        - PM
  - name: shift
    description: Work shift category (e.g., first, second, third)
    tests:
    - not_null
    - accepted_values:
        values:
        - first
        - second
        - third
  - name: sub_shift
    description: Sub-category of work shift (e.g., day, night)
    tests:
    - not_null
    - accepted_values:
        values:
        - day
        - night
        - evening
        - swing
  - name: meal_time
    description: Indicates meal time (breakfast, lunch, dinner)
    cocoon_meta:
      missing_acceptable: Not every time of day is associated with a meal.

stg_catalog_sales (first 100 rows)

	sale_date_key	sale_time_key	shipping_date_id	billing_customer_id	billing_customer_demographics_id	billing_household_demographics_id	billing_address_id	shipping_customer_id	shipping_customer_demographics_id	shipping_household_demographics_id	shipping_address_id	call_center_id	catalog_page_id	shipping_mode_id	warehouse_key	item_id	promotion_id	order_number	quantity	CS_WHOLESALE_COST	unit_list_price	unit_sales_price	total_discount_amount	total_sales_price	total_wholesale_cost	total_list_price	total_tax_amount	coupon_amount	total_shipping_cost	net_paid	net_paid_with_tax	net_paid_with_shipping	net_paid_with_shipping_and_tax	net_profit
0	2450815.0	38212.0	2450886	153.0	1822764	5775.0	986	153.0	1822764	5775	986	1	62.0	3.0	1.0	1286	1	1	47	27.70	44.32	42.99	62.51	2020.53	1301.90	2083.04	101.02	0.00	1041.52	2020.53	2121.55	3062.05	3163.07	718.63
1	2450815.0	38212.0	2450846	153.0	1822764	5775.0	986	153.0	1822764	5775	986	1	31.0	8.0	1.0	476	3	1	20	87.55	260.89	153.92	2139.40	3078.40	1751.00	5217.80	71.41	1292.92	1356.60	1785.48	1856.89	3142.08	3213.49	34.48
2	2450815.0	38212.0	2450868	153.0	1822764	5775.0	986	153.0	1822764	5775	986	1	76.0	2.0	1.0	1558	1	1	19	69.86	88.72	29.27	1129.55	556.13	1327.34	1685.68	33.36	0.00	168.53	556.13	589.49	724.66	758.02	-771.21
3	2450815.0	38212.0	2450851	153.0	1822764	5775.0	986	153.0	1822764	5775	986	1	89.0	15.0	1.0	961	2	1	50	70.00	205.10	188.69	820.50	9434.50	3500.00	10255.00	377.38	0.00	4307.00	9434.50	9811.88	13741.50	14118.88	5934.50
4	2450815.0	29485.0	2450904	601.0	797995	6189.0	583	601.0	797995	6189	583	2	64.0	18.0	1.0	115	2	2	56	67.54	166.82	18.35	8314.32	1027.60	3782.24	9341.92	0.00	0.00	3736.32	1027.60	1027.60	4763.92	4763.92	-2754.64
5	2450815.0	29485.0	2450890	601.0	797995	6189.0	583	601.0	797995	6189	583	2	75.0	8.0	1.0	110	2	2	88	20.08	60.03	20.41	3486.56	1796.08	1767.04	5282.64	13.82	1598.51	1056.00	197.57	211.39	1253.57	1267.39	-1569.47
6	2450815.0	29485.0	2450849	601.0	797995	6189.0	583	601.0	797995	6189	583	2	39.0	4.0	1.0	146	3	2	31	40.88	51.91	6.22	1416.39	192.82	1267.28	1609.21	11.56	0.00	321.78	192.82	204.38	514.60	526.16	-1074.46
7	2450815.0	29485.0	2450889	601.0	797995	6189.0	583	601.0	797995	6189	583	2	49.0	8.0	1.0	1744	3	2	100	49.56	137.77	5.51	13226.00	551.00	4956.00	13777.00	0.00	0.00	3306.00	551.00	551.00	3857.00	3857.00	-4405.00
8	2450815.0	29485.0	2450868	601.0	797995	6189.0	583	601.0	797995	6189	583	2	69.0	17.0	1.0	236	3	2	30	72.82	88.84	71.07	533.10	2132.10	2184.60	2665.20	21.32	0.00	133.20	2132.10	2153.42	2265.30	2286.62	-52.50
9	2450815.0	29485.0	2450831	601.0	797995	6189.0	583	601.0	797995	6189	583	2	64.0	1.0	1.0	482	1	2	40	94.56	277.06	2.77	10971.60	110.80	3782.40	11082.40	2.21	0.00	664.80	110.80	113.01	775.60	777.81	-3671.60
10	2450815.0	29485.0	2450839	601.0	797995	6189.0	583	601.0	797995	6189	583	2	108.0	8.0	1.0	646	2	2	40	25.96	54.51	15.80	1548.40	632.00	1038.40	2180.40	22.75	176.96	1090.00	455.04	477.79	1545.04	1567.79	-583.36
11	2450815.0	29485.0	2450825	601.0	797995	6189.0	583	601.0	797995	6189	583	2	14.0	20.0	1.0	1762	2	2	45	5.95	12.97	8.81	187.20	396.45	267.75	583.65	3.96	0.00	17.10	396.45	400.41	413.55	417.51	128.70
12	2450815.0	29485.0	2450837	601.0	797995	6189.0	583	601.0	797995	6189	583	2	13.0	7.0	1.0	400	1	2	34	43.69	105.29	82.12	787.78	2792.08	1485.46	3579.86	55.84	0.00	930.58	2792.08	2847.92	3722.66	3778.50	1306.62
13	2450815.0	29485.0	2450822	601.0	797995	6189.0	583	601.0	797995	6189	583	2	106.0	16.0	1.0	952	3	2	59	78.90	84.42	82.73	99.71	4881.07	4655.10	4980.78	292.86	0.00	1444.32	4881.07	5173.93	6325.39	6618.25	225.97
14	2450815.0	29485.0	2450895	601.0	797995	6189.0	583	601.0	797995	6189	583	2	17.0	19.0	1.0	404	2	2	94	41.36	105.88	50.82	5175.64	4777.08	3887.84	9952.72	191.08	0.00	497.26	4777.08	4968.16	5274.34	5465.42	889.24
15	2450815.0	29485.0	2450892	601.0	797995	6189.0	583	601.0	797995	6189	583	2	74.0	18.0	1.0	781	2	2	38	26.96	51.22	35.85	584.06	1362.30	1024.48	1946.36	108.98	0.00	642.20	1362.30	1471.28	2004.50	2113.48	337.82
16	2450815.0	29485.0	2450862	601.0	797995	6189.0	583	601.0	797995	6189	583	2	23.0	16.0	1.0	727	2	2	45	9.54	23.37	21.50	84.15	967.50	429.30	1051.65	21.76	725.62	294.30	241.88	263.64	536.18	557.94	-187.42
17	2450815.0	29485.0	2450834	601.0	797995	6189.0	583	601.0	797995	6189	583	2	63.0	5.0	1.0	596	1	2	41	39.04	108.92	75.15	1384.57	3081.15	1600.64	4465.72	215.68	0.00	1964.72	3081.15	3296.83	5045.87	5261.55	1480.51
18	2450815.0	10687.0	2450864	572.0	437897	6622.0	147	572.0	437897	6622	147	2	28.0	5.0	1.0	1198	2	3	99	75.88	178.31	156.91	2118.60	15534.09	7512.12	17652.69	1398.06	0.00	6884.46	15534.09	16932.15	22418.55	23816.61	8021.97
19	2450815.0	10687.0	2450905	572.0	437897	6622.0	147	572.0	437897	6622	147	2	47.0	10.0	1.0	1435	3	3	90	34.57	89.53	68.04	1934.10	6123.60	3111.30	8057.70	428.65	0.00	1449.90	6123.60	6552.25	7573.50	8002.15	3012.30
20	2450815.0	10687.0	2450846	572.0	437897	6622.0	147	572.0	437897	6622	147	2	7.0	2.0	1.0	886	2	3	75	8.44	14.43	6.34	606.75	475.50	633.00	1082.25	33.28	0.00	10.50	475.50	508.78	486.00	519.28	-157.50
21	2450815.0	10687.0	2450900	572.0	437897	6622.0	147	572.0	437897	6622	147	2	67.0	7.0	1.0	1537	3	3	45	45.24	59.26	53.33	266.85	2399.85	2035.80	2666.70	191.98	0.00	479.70	2399.85	2591.83	2879.55	3071.53	364.05
22	2450815.0	10687.0	2450893	572.0	437897	6622.0	147	572.0	437897	6622	147	2	31.0	4.0	1.0	1826	2	3	33	89.04	217.25	52.14	5448.63	1720.62	2938.32	7169.25	68.82	0.00	3584.46	1720.62	1789.44	5305.08	5373.90	-1217.70
23	2450815.0	10687.0	2450904	572.0	437897	6622.0	147	572.0	437897	6622	147	2	52.0	18.0	1.0	1238	1	3	25	72.16	98.13	29.43	1717.50	735.75	1804.00	2453.25	29.43	0.00	834.00	735.75	765.18	1569.75	1599.18	-1068.25
24	2450815.0	10687.0	2450820	572.0	437897	6622.0	147	572.0	437897	6622	147	2	77.0	7.0	1.0	247	3	3	56	12.62	28.39	20.72	429.52	1160.32	706.72	1589.84	4.87	1079.09	0.00	81.23	86.10	81.23	86.10	-625.49
25	NaN	NaN	2450835	NaN	3755	NaN	652	NaN	3755	2480	652	2	NaN	NaN	NaN	922	1	4	33	8.80	23.49	NaN	77.55	NaN	NaN	775.17	34.88	0.00	NaN	NaN	NaN	976.47	1011.35	407.22
26	2450815.0	74512.0	2450888	383.0	3755	2480.0	652	383.0	3755	2480	652	2	107.0	13.0	1.0	610	1	4	63	65.85	181.74	23.62	9961.56	1488.06	4148.55	11449.62	29.76	0.00	3663.45	1488.06	1517.82	5151.51	5181.27	-2660.49
27	2450815.0	74512.0	2450825	383.0	3755	2480.0	652	383.0	3755	2480	652	2	88.0	13.0	1.0	1171	2	4	90	47.29	55.32	7.19	4331.70	647.10	4256.10	4978.80	38.82	0.00	1542.60	647.10	685.92	2189.70	2228.52	-3609.00
28	2450815.0	74512.0	2450870	383.0	3755	2480.0	652	383.0	3755	2480	652	2	53.0	8.0	1.0	1106	3	4	68	51.19	135.65	82.74	3597.88	5626.32	3480.92	9224.20	337.57	0.00	922.08	5626.32	5963.89	6548.40	6885.97	2145.40
29	2450815.0	74512.0	2450891	383.0	3755	2480.0	652	383.0	3755	2480	652	2	7.0	17.0	1.0	1820	2	4	12	35.46	59.57	5.36	650.52	64.32	425.52	714.84	4.50	0.00	250.08	64.32	68.82	314.40	318.90	-361.20
30	2450815.0	74512.0	2450897	383.0	3755	2480.0	652	383.0	3755	2480	652	2	23.0	16.0	1.0	880	2	4	79	49.20	118.57	92.48	2061.11	7305.92	3886.80	9367.03	219.17	0.00	3371.72	7305.92	7525.09	10677.64	10896.81	3419.12
31	2450816.0	53201.0	2450857	801.0	90299	3797.0	495	801.0	90299	3797	495	1	29.0	20.0	1.0	1495	2	5	24	33.13	86.13	18.94	1612.56	454.56	795.12	2067.12	9.09	0.00	330.72	454.56	463.65	785.28	794.37	-340.56
32	2450816.0	53201.0	2450887	801.0	90299	3797.0	495	801.0	90299	3797	495	1	90.0	2.0	1.0	1735	3	5	88	61.57	91.12	87.47	321.20	7697.36	5418.16	8018.56	307.89	0.00	3046.56	7697.36	8005.25	10743.92	11051.81	2279.20
33	2450816.0	53201.0	2450831	801.0	90299	3797.0	495	801.0	90299	3797	495	1	105.0	3.0	1.0	730	2	5	33	79.68	165.73	97.78	2242.35	3226.74	2629.44	5469.09	64.53	0.00	273.24	3226.74	3291.27	3499.98	3564.51	597.30
34	2450816.0	53201.0	2450896	801.0	90299	3797.0	495	801.0	90299	3797	495	1	40.0	18.0	1.0	602	2	5	7	30.89	78.46	15.69	439.39	109.83	216.23	549.22	5.49	0.00	241.64	109.83	115.32	351.47	356.96	-106.40
35	2450816.0	53201.0	2450818	801.0	90299	3797.0	495	801.0	90299	3797	495	1	78.0	16.0	1.0	1766	1	5	50	22.47	28.53	24.53	200.00	1226.50	1123.50	1426.50	85.85	0.00	256.50	1226.50	1312.35	1483.00	1568.85	103.00
36	2450816.0	53201.0	2450821	801.0	90299	3797.0	495	801.0	90299	3797	495	1	44.0	12.0	1.0	1754	1	5	24	91.40	95.05	38.02	1368.72	912.48	2193.60	2281.20	54.74	0.00	638.64	912.48	967.22	1551.12	1605.86	-1281.12
37	2450816.0	53201.0	2450847	801.0	90299	3797.0	495	801.0	90299	3797	495	1	69.0	14.0	1.0	1928	3	5	84	24.03	29.79	17.57	1026.48	1475.88	2018.52	2502.36	10.92	383.72	650.16	1092.16	1103.08	1742.32	1753.24	-926.36
38	2450816.0	53201.0	2450834	801.0	90299	3797.0	495	801.0	90299	3797	495	1	16.0	10.0	1.0	199	2	5	2	51.27	111.76	103.93	15.66	207.86	102.54	223.52	0.00	0.00	93.86	207.86	207.86	301.72	301.72	105.32
39	2450816.0	53201.0	2450853	801.0	90299	3797.0	495	801.0	90299	3797	495	1	95.0	9.0	1.0	1387	3	5	17	38.62	106.59	68.21	652.46	1159.57	656.54	1812.03	33.04	57.97	199.24	1101.60	1134.64	1300.84	1333.88	445.06
40	2450816.0	53201.0	2450861	801.0	90299	3797.0	495	801.0	90299	3797	495	1	9.0	16.0	1.0	988	1	5	34	42.47	118.49	41.47	2618.68	1409.98	1443.98	4028.66	52.45	535.79	1571.14	874.19	926.64	2445.33	2497.78	-569.79
41	2450816.0	53201.0	2450881	801.0	90299	3797.0	495	801.0	90299	3797	495	1	98.0	13.0	1.0	190	3	5	7	67.40	138.17	56.64	570.71	396.48	471.80	967.19	23.78	0.00	483.56	396.48	420.26	880.04	903.82	-75.32
42	2450816.0	47169.0	2450856	351.0	528859	5567.0	122	351.0	528859	5567	122	1	47.0	18.0	1.0	82	1	6	21	41.74	85.14	6.81	1644.93	143.01	876.54	1787.94	7.15	0.00	697.20	143.01	150.16	840.21	847.36	-733.53
43	2450816.0	47169.0	2450842	351.0	528859	5567.0	122	351.0	528859	5567	122	1	6.0	19.0	1.0	910	1	6	43	79.58	210.09	44.11	7137.14	1896.73	3421.94	9033.87	4.55	1782.92	361.20	113.81	118.36	475.01	479.56	-3308.13
44	2450816.0	47169.0	2450873	351.0	528859	5567.0	122	351.0	528859	5567	122	1	56.0	2.0	1.0	502	1	6	57	21.60	26.35	24.24	120.27	1381.68	1231.20	1501.95	0.00	0.00	600.78	1381.68	1381.68	1982.46	1982.46	150.48
45	2450816.0	47169.0	2450829	351.0	528859	5567.0	122	351.0	528859	5567	122	1	34.0	15.0	1.0	1268	1	6	12	83.45	207.79	91.42	1396.44	1097.04	1001.40	2493.48	65.82	0.00	1072.08	1097.04	1162.86	2169.12	2234.94	95.64
46	2450816.0	47169.0	2450865	351.0	528859	5567.0	122	351.0	528859	5567	122	1	81.0	18.0	1.0	446	3	6	75	63.50	133.35	17.33	8701.50	1299.75	4762.50	10001.25	13.25	857.83	1399.50	441.92	455.17	1841.42	1854.67	-4320.58
47	2450816.0	47169.0	2450872	351.0	528859	5567.0	122	351.0	528859	5567	122	1	78.0	13.0	1.0	1783	3	6	32	33.46	69.26	67.18	66.56	2149.76	1070.72	2216.32	193.47	0.00	221.44	2149.76	2343.23	2371.20	2564.67	1079.04
48	2450816.0	47169.0	2450842	351.0	528859	5567.0	122	351.0	528859	5567	122	1	27.0	4.0	1.0	1252	1	6	30	38.50	57.75	25.41	970.20	762.30	1155.00	1732.50	38.11	0.00	796.80	762.30	800.41	1559.10	1597.21	-392.70
49	2450816.0	47169.0	2450850	351.0	528859	5567.0	122	351.0	528859	5567	122	1	62.0	18.0	1.0	1192	3	6	53	9.92	25.69	9.24	871.85	489.72	525.76	1361.57	15.08	112.63	122.43	377.09	392.17	499.52	514.60	-148.67
50	2450816.0	47169.0	2450874	351.0	528859	5567.0	122	351.0	528859	5567	122	1	54.0	11.0	1.0	374	1	6	56	1.84	5.35	3.31	114.24	185.36	103.04	299.60	14.82	0.00	104.72	185.36	200.18	290.08	304.90	82.32
51	2450816.0	64129.0	2450879	427.0	192069	5664.0	106	427.0	192069	5664	106	2	89.0	8.0	1.0	1339	2	7	48	18.55	52.49	49.34	151.20	2368.32	890.40	2519.52	88.10	165.78	604.32	2202.54	2290.64	2806.86	2894.96	1312.14
52	2450816.0	64129.0	2450856	427.0	192069	5664.0	106	427.0	192069	5664	106	2	27.0	2.0	1.0	1006	1	7	69	93.62	245.28	208.48	2539.20	14385.12	6459.78	16924.32	0.00	1006.95	7954.32	13378.17	13378.17	21332.49	21332.49	6918.39
53	2450816.0	64129.0	2450819	427.0	192069	5664.0	106	427.0	192069	5664	106	2	65.0	6.0	1.0	217	3	7	22	40.21	95.29	4.76	1991.66	104.72	884.62	2096.38	0.00	0.00	1027.18	104.72	104.72	1131.90	1131.90	-779.90
54	2450816.0	64129.0	2450829	427.0	192069	5664.0	106	427.0	192069	5664	106	2	103.0	7.0	1.0	1051	3	7	26	10.72	19.29	4.82	376.22	125.32	278.72	501.54	5.01	0.00	55.12	125.32	130.33	180.44	185.45	-153.40
55	2450817.0	34427.0	2450865	814.0	271788	6362.0	536	814.0	271788	6362	536	1	53.0	13.0	1.0	256	1	8	46	47.13	76.35	64.13	562.12	2949.98	2167.98	3512.10	146.90	501.49	350.98	2448.49	2595.39	2799.47	2946.37	280.51
56	2450817.0	34427.0	2450885	814.0	271788	6362.0	536	814.0	271788	6362	536	1	41.0	18.0	1.0	223	2	8	83	64.16	150.13	48.04	8473.47	3987.32	5325.28	12460.79	159.49	0.00	3862.82	3987.32	4146.81	7850.14	8009.63	-1337.96
57	2450817.0	34427.0	2450907	814.0	271788	6362.0	536	814.0	271788	6362	536	1	45.0	5.0	1.0	1567	1	8	15	72.17	199.18	161.33	567.75	2419.95	1082.55	2987.70	217.79	0.00	1045.65	2419.95	2637.74	3465.60	3683.39	1337.40
58	2450817.0	34427.0	2450886	814.0	271788	6362.0	536	814.0	271788	6362	536	1	3.0	3.0	1.0	14	2	8	27	90.20	183.10	3.66	4844.88	98.82	2435.40	4943.70	3.91	33.59	2273.94	65.23	69.14	2339.17	2343.08	-2370.17
59	2450817.0	34427.0	2450884	814.0	271788	6362.0	536	814.0	271788	6362	536	1	53.0	2.0	1.0	1066	2	8	1	66.72	166.80	106.75	60.05	106.75	66.72	166.80	0.00	0.00	0.00	106.75	106.75	106.75	106.75	40.03
60	2450817.0	34427.0	2450840	814.0	271788	6362.0	536	814.0	271788	6362	536	1	21.0	2.0	1.0	856	3	8	62	2.33	3.86	0.57	203.98	35.34	144.46	239.32	0.00	0.00	18.60	35.34	35.34	53.94	53.94	-109.12
61	2450817.0	34427.0	2450875	814.0	271788	6362.0	536	814.0	271788	6362	536	1	16.0	16.0	1.0	1796	2	8	49	51.74	83.81	4.19	3901.38	205.31	2535.26	4106.69	10.26	0.00	862.40	205.31	215.57	1067.71	1077.97	-2329.95
62	2450817.0	34427.0	2450886	814.0	271788	6362.0	536	814.0	271788	6362	536	1	71.0	19.0	1.0	1255	3	8	57	34.01	77.54	40.32	2121.54	2298.24	1938.57	4419.78	0.00	0.00	1104.66	2298.24	2298.24	3402.90	3402.90	359.67
63	2450817.0	34427.0	2450847	814.0	271788	6362.0	536	814.0	271788	6362	536	1	67.0	4.0	1.0	1657	2	8	29	6.77	12.45	3.61	256.36	104.69	196.33	361.05	1.04	0.00	53.94	104.69	105.73	158.63	159.67	-91.64
64	2450817.0	34427.0	2450905	814.0	271788	6362.0	536	814.0	271788	6362	536	1	6.0	20.0	1.0	1556	3	8	4	6.26	14.83	5.04	39.16	20.16	25.04	59.32	0.00	0.00	11.84	20.16	20.16	32.00	32.00	-4.88
65	2450817.0	45097.0	2450877	674.0	804458	4395.0	579	674.0	804458	4395	579	1	2.0	12.0	1.0	1844	3	9	6	48.56	143.73	137.98	34.50	827.88	291.36	862.38	0.00	0.00	155.22	827.88	827.88	983.10	983.10	536.52
66	2450817.0	45097.0	2450858	674.0	804458	4395.0	579	674.0	804458	4395	579	1	1.0	12.0	1.0	1579	1	9	38	62.96	64.84	42.14	862.60	1601.32	2392.48	2463.92	41.31	224.18	1059.44	1377.14	1418.45	2436.58	2477.89	-1015.34
67	2450817.0	45097.0	2450889	674.0	804458	4395.0	579	674.0	804458	4395	579	1	14.0	19.0	1.0	1243	2	9	23	57.35	108.39	80.20	648.37	1844.60	1319.05	2492.97	0.00	0.00	1096.87	1844.60	1844.60	2941.47	2941.47	525.55
68	2450817.0	45097.0	2450872	674.0	804458	4395.0	579	674.0	804458	4395	579	1	52.0	12.0	1.0	760	3	9	5	33.22	55.14	18.19	184.75	90.95	166.10	275.70	5.45	0.00	74.40	90.95	96.40	165.35	170.80	-75.15
69	2450817.0	45097.0	2450825	674.0	804458	4395.0	579	674.0	804458	4395	579	1	94.0	14.0	1.0	440	3	9	72	95.14	268.29	233.41	2511.36	16805.52	6850.08	19316.88	840.27	0.00	2704.32	16805.52	17645.79	19509.84	20350.11	9955.44
70	2450817.0	45097.0	2450847	674.0	804458	4395.0	579	674.0	804458	4395	579	1	61.0	12.0	1.0	1588	3	9	44	97.85	172.21	92.99	3485.68	4091.56	4305.40	7577.24	0.00	0.00	3409.56	4091.56	4091.56	7501.12	7501.12	-213.84
71	2450817.0	80602.0	2450868	276.0	23666	1703.0	340	276.0	23666	1703	340	2	36.0	7.0	1.0	1474	3	10	74	74.83	184.83	103.50	6018.42	7659.00	5537.42	13677.42	689.31	0.00	1230.62	7659.00	8348.31	8889.62	9578.93	2121.58
72	2450817.0	80602.0	2450854	276.0	23666	1703.0	340	276.0	23666	1703	340	2	43.0	6.0	1.0	1090	1	10	22	76.14	203.29	168.73	760.32	3712.06	1675.08	4472.38	222.72	0.00	402.38	3712.06	3934.78	4114.44	4337.16	2036.98
73	2450817.0	80602.0	2450902	276.0	23666	1703.0	340	276.0	23666	1703	340	2	50.0	9.0	1.0	1460	1	10	76	43.24	74.80	63.58	852.72	4832.08	3286.24	5684.80	289.92	0.00	56.24	4832.08	5122.00	4888.32	5178.24	1545.84
74	2450817.0	80602.0	2450830	276.0	23666	1703.0	340	276.0	23666	1703	340	2	25.0	10.0	1.0	241	3	10	55	21.09	48.29	34.28	770.55	1885.40	1159.95	2655.95	131.97	0.00	796.40	1885.40	2017.37	2681.80	2813.77	725.45
75	2450817.0	80602.0	2450884	276.0	23666	1703.0	340	276.0	23666	1703	340	2	54.0	18.0	1.0	829	2	10	90	98.27	142.49	2.84	12568.50	255.60	8844.30	12824.10	15.33	0.00	127.80	255.60	270.93	383.40	398.73	-8588.70
76	2450817.0	80602.0	2450848	276.0	23666	1703.0	340	276.0	23666	1703	340	2	24.0	5.0	1.0	1861	1	10	95	4.18	12.12	7.39	449.35	702.05	397.10	1151.40	42.12	0.00	91.20	702.05	744.17	793.25	835.37	304.95
77	2450817.0	80602.0	2450859	276.0	23666	1703.0	340	276.0	23666	1703	340	2	33.0	3.0	1.0	1321	3	10	17	67.47	185.54	124.31	1040.91	2113.27	1146.99	3154.18	64.24	507.18	346.80	1606.09	1670.33	1952.89	2017.13	459.10
78	2450817.0	80602.0	2450820	276.0	23666	1703.0	340	276.0	23666	1703	340	2	90.0	17.0	1.0	1327	1	10	63	84.32	222.60	115.75	6731.55	7292.25	5312.16	14023.80	291.69	0.00	3786.30	7292.25	7583.94	11078.55	11370.24	1980.09
79	2450817.0	80602.0	2450891	276.0	23666	1703.0	340	276.0	23666	1703	340	2	93.0	3.0	1.0	1483	1	10	4	87.55	95.42	5.72	358.80	22.88	350.20	381.68	0.22	0.00	83.96	22.88	23.10	106.84	107.06	-327.32
80	2450818.0	64115.0	2450883	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	10.0	10.0	1.0	1615	2	11	81	45.42	129.44	50.48	6395.76	4088.88	3679.02	10484.64	367.99	0.00	2621.16	4088.88	4456.87	6710.04	7078.03	409.86
81	2450818.0	64115.0	2450876	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	65.0	9.0	1.0	721	2	11	30	93.79	114.42	75.51	1167.30	2265.30	2813.70	3432.60	31.71	1472.44	308.70	792.86	824.57	1101.56	1133.27	-2020.84
82	2450818.0	64115.0	2450869	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	95.0	14.0	1.0	490	3	11	33	54.16	107.23	27.87	2618.88	919.71	1787.28	3538.59	45.98	0.00	1698.51	919.71	965.69	2618.22	2664.20	-867.57
83	2450818.0	64115.0	2450829	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	68.0	13.0	1.0	1052	1	11	76	27.04	64.35	7.72	4303.88	586.72	2055.04	4890.60	11.73	0.00	1515.44	586.72	598.45	2102.16	2113.89	-1468.32
84	2450818.0	64115.0	2450888	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	71.0	6.0	1.0	1346	3	11	5	60.75	83.83	19.28	322.75	96.40	303.75	419.15	3.85	0.00	62.85	96.40	100.25	159.25	163.10	-207.35
85	2450818.0	64115.0	2450831	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	65.0	9.0	1.0	1028	2	11	78	49.40	143.75	103.50	3139.50	8073.00	3853.20	11212.50	403.65	0.00	4260.36	8073.00	8476.65	12333.36	12737.01	4219.80
86	2450818.0	64115.0	2450898	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	42.0	17.0	1.0	1094	2	11	32	14.57	30.15	3.31	858.88	105.92	466.24	964.80	4.23	0.00	231.36	105.92	110.15	337.28	341.51	-360.32
87	2450818.0	64115.0	2450841	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	72.0	20.0	1.0	862	2	11	11	14.54	27.77	1.38	290.29	15.18	159.94	305.47	0.60	0.00	9.13	15.18	15.78	24.31	24.91	-144.76
88	2450818.0	64115.0	2450834	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	41.0	3.0	1.0	1978	3	11	56	96.00	270.72	97.45	9703.12	5457.20	5376.00	15160.32	36.01	4256.61	4699.52	1200.59	1236.60	5900.11	5936.12	-4175.41
89	2450818.0	64115.0	2450875	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	40.0	9.0	1.0	1990	3	11	43	1.71	4.85	1.06	162.97	45.58	73.53	208.55	3.19	0.00	14.19	45.58	48.77	59.77	62.96	-27.95
90	2450818.0	64115.0	2450855	731.0	1046123	5715.0	107	731.0	1046123	5715	107	2	35.0	11.0	1.0	356	1	11	86	73.25	139.90	8.39	11309.86	721.54	6299.50	12031.40	28.86	0.00	239.94	721.54	750.40	961.48	990.34	-5577.96
91	2450818.0	81128.0	2450860	748.0	83584	2773.0	362	748.0	83584	2773	362	1	58.0	12.0	1.0	520	1	12	75	59.96	82.74	77.77	372.75	5832.75	4497.00	6205.50	291.63	0.00	434.25	5832.75	6124.38	6267.00	6558.63	1335.75
92	2450818.0	81128.0	2450869	748.0	83584	2773.0	362	748.0	83584	2773	362	1	84.0	5.0	1.0	631	2	12	40	86.12	120.56	114.53	241.20	4581.20	3444.80	4822.40	274.87	0.00	1108.80	4581.20	4856.07	5690.00	5964.87	1136.40
93	2450818.0	81128.0	2450846	748.0	83584	2773.0	362	748.0	83584	2773	362	1	21.0	6.0	1.0	728	1	12	41	57.21	159.04	98.60	2478.04	4042.60	2345.61	6520.64	0.00	0.00	1956.11	4042.60	4042.60	5998.71	5998.71	1696.99
94	2450818.0	81128.0	2450879	748.0	83584	2773.0	362	748.0	83584	2773	362	1	8.0	1.0	1.0	578	3	12	79	63.39	148.33	93.44	4336.31	7381.76	5007.81	11718.07	180.85	3764.69	1756.96	3617.07	3797.92	5374.03	5554.88	-1390.74
95	2450818.0	81128.0	2450832	748.0	83584	2773.0	362	748.0	83584	2773	362	1	37.0	18.0	1.0	1924	3	12	89	74.58	146.17	62.85	7415.48	5593.65	6637.62	13009.13	335.61	0.00	4683.18	5593.65	5929.26	10276.83	10612.44	-1043.97
96	2450818.0	81128.0	2450892	748.0	83584	2773.0	362	748.0	83584	2773	362	1	11.0	16.0	1.0	835	3	12	84	80.29	89.12	34.75	4567.08	2919.00	6744.36	7486.08	116.76	0.00	2394.84	2919.00	3035.76	5313.84	5430.60	-3825.36
97	2450818.0	31835.0	2450855	22.0	1502404	6833.0	662	22.0	1502404	6833	662	2	35.0	2.0	1.0	484	3	13	51	43.78	114.26	22.85	4661.91	1165.35	2232.78	5827.26	23.30	0.00	2563.77	1165.35	1188.65	3729.12	3752.42	-1067.43
98	2450818.0	31835.0	2450881	22.0	1502404	6833.0	662	22.0	1502404	6833	662	2	18.0	9.0	1.0	1760	3	13	100	13.66	16.93	2.03	1490.00	203.00	1366.00	1693.00	0.00	0.00	220.00	203.00	203.00	423.00	423.00	-1163.00

stg_catalog_sales.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"catalog_sales_renamed" AS (
    -- Rename: Renaming columns
    -- CS_SOLD_DATE_SK -> sale_date_key
    -- CS_SOLD_TIME_SK -> sale_time_key
    -- CS_SHIP_DATE_SK -> shipping_date_id
    -- CS_BILL_CUSTOMER_SK -> billing_customer_id
    -- CS_BILL_CDEMO_SK -> billing_customer_demographics_id
    -- CS_BILL_HDEMO_SK -> billing_household_demographics_id
    -- CS_BILL_ADDR_SK -> billing_address_id
    -- CS_SHIP_CUSTOMER_SK -> shipping_customer_id
    -- CS_SHIP_CDEMO_SK -> shipping_customer_demographics_id
    -- CS_SHIP_HDEMO_SK -> shipping_household_demographics_id
    -- CS_SHIP_ADDR_SK -> shipping_address_id
    -- CS_CALL_CENTER_SK -> call_center_id
    -- CS_CATALOG_PAGE_SK -> catalog_page_id
    -- CS_SHIP_MODE_SK -> shipping_mode_id
    -- CS_WAREHOUSE_SK -> warehouse_key
    -- CS_ITEM_SK -> item_id
    -- CS_PROMO_SK -> promotion_id
    -- CS_ORDER_NUMBER -> order_number
    -- CS_QUANTITY -> quantity
    -- CS_LIST_PRICE -> unit_list_price
    -- CS_SALES_PRICE -> unit_sales_price
    -- CS_EXT_DISCOUNT_AMT -> total_discount_amount
    -- CS_EXT_SALES_PRICE -> total_sales_price
    -- CS_EXT_WHOLESALE_COST -> total_wholesale_cost
    -- CS_EXT_LIST_PRICE -> total_list_price
    -- CS_EXT_TAX -> total_tax_amount
    -- CS_COUPON_AMT -> coupon_amount
    -- CS_EXT_SHIP_COST -> total_shipping_cost
    -- CS_NET_PAID -> net_paid
    -- CS_NET_PAID_INC_TAX -> net_paid_with_tax
    -- CS_NET_PAID_INC_SHIP -> net_paid_with_shipping
    -- CS_NET_PAID_INC_SHIP_TAX -> net_paid_with_shipping_and_tax
    -- CS_NET_PROFIT -> net_profit
    SELECT 
        "CS_SOLD_DATE_SK" AS "sale_date_key",
        "CS_SOLD_TIME_SK" AS "sale_time_key",
        "CS_SHIP_DATE_SK" AS "shipping_date_id",
        "CS_BILL_CUSTOMER_SK" AS "billing_customer_id",
        "CS_BILL_CDEMO_SK" AS "billing_customer_demographics_id",
        "CS_BILL_HDEMO_SK" AS "billing_household_demographics_id",
        "CS_BILL_ADDR_SK" AS "billing_address_id",
        "CS_SHIP_CUSTOMER_SK" AS "shipping_customer_id",
        "CS_SHIP_CDEMO_SK" AS "shipping_customer_demographics_id",
        "CS_SHIP_HDEMO_SK" AS "shipping_household_demographics_id",
        "CS_SHIP_ADDR_SK" AS "shipping_address_id",
        "CS_CALL_CENTER_SK" AS "call_center_id",
        "CS_CATALOG_PAGE_SK" AS "catalog_page_id",
        "CS_SHIP_MODE_SK" AS "shipping_mode_id",
        "CS_WAREHOUSE_SK" AS "warehouse_key",
        "CS_ITEM_SK" AS "item_id",
        "CS_PROMO_SK" AS "promotion_id",
        "CS_ORDER_NUMBER" AS "order_number",
        "CS_QUANTITY" AS "quantity",
        "CS_WHOLESALE_COST",
        "CS_LIST_PRICE" AS "unit_list_price",
        "CS_SALES_PRICE" AS "unit_sales_price",
        "CS_EXT_DISCOUNT_AMT" AS "total_discount_amount",
        "CS_EXT_SALES_PRICE" AS "total_sales_price",
        "CS_EXT_WHOLESALE_COST" AS "total_wholesale_cost",
        "CS_EXT_LIST_PRICE" AS "total_list_price",
        "CS_EXT_TAX" AS "total_tax_amount",
        "CS_COUPON_AMT" AS "coupon_amount",
        "CS_EXT_SHIP_COST" AS "total_shipping_cost",
        "CS_NET_PAID" AS "net_paid",
        "CS_NET_PAID_INC_TAX" AS "net_paid_with_tax",
        "CS_NET_PAID_INC_SHIP" AS "net_paid_with_shipping",
        "CS_NET_PAID_INC_SHIP_TAX" AS "net_paid_with_shipping_and_tax",
        "CS_NET_PROFIT" AS "net_profit"
    FROM "catalog_sales"
)

-- COCOON BLOCK END
SELECT * FROM "catalog_sales_renamed"

stg_catalog_sales.yml (Document the table)

version: 2
models:
- name: stg_catalog_sales
  description: The table is about catalog sales transactions. It includes details
    such as sale date, customer information, item details, order quantities, various
    price points (wholesale, list, sales), discounts, taxes, shipping costs, and profit
    margins. Each row represents a single item in an order, with associated timestamps,
    customer demographics, and financial breakdowns.
  columns:
  - name: sale_date_key
    description: Date of sale in surrogate key format
    tests:
    - not_null
  - name: sale_time_key
    description: Time of sale in surrogate key format
    tests:
    - not_null
  - name: shipping_date_id
    description: Shipping date surrogate key
    tests:
    - not_null
  - name: billing_customer_id
    description: Billing customer surrogate key
    tests:
    - not_null
  - name: billing_customer_demographics_id
    description: Billing customer demographics surrogate key
    tests:
    - not_null
  - name: billing_household_demographics_id
    description: Billing household demographics surrogate key
    tests:
    - not_null
  - name: billing_address_id
    description: Billing address surrogate key
    tests:
    - not_null
  - name: shipping_customer_id
    description: Shipping customer surrogate key
    tests:
    - not_null
  - name: shipping_customer_demographics_id
    description: Shipping customer demographics surrogate key
    tests:
    - not_null
  - name: shipping_household_demographics_id
    description: Shipping household demographics surrogate key
    tests:
    - not_null
  - name: shipping_address_id
    description: Shipping address surrogate key
    tests:
    - not_null
  - name: call_center_id
    description: Call center surrogate key
    tests:
    - not_null
  - name: catalog_page_id
    description: Catalog page surrogate key
    tests:
    - not_null
  - name: shipping_mode_id
    description: Shipping mode surrogate key
    tests:
    - not_null
  - name: warehouse_key
    description: Warehouse identifier in surrogate key format
    tests:
    - not_null
  - name: item_id
    description: Item surrogate key
    tests:
    - not_null
  - name: promotion_id
    description: Promotion surrogate key
    tests:
    - not_null
  - name: order_number
    description: Order number
    tests:
    - not_null
  - name: quantity
    description: Quantity of items sold
    tests:
    - not_null
  - name: CS_WHOLESALE_COST
    description: Wholesale cost of the item sold
    tests:
    - not_null
  - name: unit_list_price
    description: List price per unit
    tests:
    - not_null
  - name: unit_sales_price
    description: Sales price per unit
    tests:
    - not_null
  - name: total_discount_amount
    description: Extended discount amount
    tests:
    - not_null
  - name: total_sales_price
    description: Extended sales price
    tests:
    - not_null
  - name: total_wholesale_cost
    description: Extended wholesale cost
    tests:
    - not_null
  - name: total_list_price
    description: Extended list price
    tests:
    - not_null
  - name: total_tax_amount
    description: Extended tax amount
    tests:
    - not_null
  - name: coupon_amount
    description: Coupon amount applied to the sale
    tests:
    - not_null
  - name: total_shipping_cost
    description: Extended shipping cost
    tests:
    - not_null
  - name: net_paid
    description: Net amount paid
    tests:
    - not_null
  - name: net_paid_with_tax
    description: Net paid including tax
    tests:
    - not_null
  - name: net_paid_with_shipping
    description: Net paid including shipping
    tests:
    - not_null
  - name: net_paid_with_shipping_and_tax
    description: Net paid including shipping and tax
    tests:
    - not_null
  - name: net_profit
    description: Net profit
    tests:
    - not_null

stg_ship_mode (first 100 rows)

	carrier_name	contract_id	shipping_service_type	shipping_method_code	ship_mode_surrogate_key	ship_mode_id
0	UPS	YvxVaJI10	EXPRESS	AIR	1	AAAAAAAABAAAAAAA
1	FEDEX	ldhM8IvpzHgdbBgDfI	NEXT DAY	AIR	2	AAAAAAAACAAAAAAA
2	AIRBORNE	6Hzzp4JkzjqD8MGXLCDa	OVERNIGHT	AIR	3	AAAAAAAADAAAAAAA
3	USPS	UaAJjKDnL4gTOqbpj	TWO DAY	AIR	4	AAAAAAAAEAAAAAAA
4	DHL	HVDFCcQ	LIBRARY	AIR	5	AAAAAAAAFAAAAAAA
5	TBS	Ek	REGULAR	SURFACE	6	AAAAAAAAGAAAAAAA
6	ZHOU	hGoF18SLDDPBj	EXPRESS	SURFACE	7	AAAAAAAAHAAAAAAA
7	ZOUROS	yVfotg7Tio3MVhBg6Bkn	NEXT DAY	SURFACE	8	AAAAAAAAIAAAAAAA
8	MSC	Xjy3ZPuiDjzHlRx14Z3	OVERNIGHT	SURFACE	9	AAAAAAAAJAAAAAAA
9	LATVIAN	P7FBIt8yd	TWO DAY	SURFACE	10	AAAAAAAAKAAAAAAA
10	ALLIANCE	OrDuVy2H	LIBRARY	SURFACE	11	AAAAAAAALAAAAAAA
11	ORIENTAL	GNJr3g5i7oorKqtX	REGULAR	SEA	12	AAAAAAAAMAAAAAAA
12	BAVARIAN	qENFQ	EXPRESS	SEA	13	AAAAAAAANAAAAAAA
13	BOXBUNDLES	A5BYO1qH8HGTTN	NEXT DAY	SEA	14	AAAAAAAAOAAAAAAA
14	GREAT EASTERN	uukTktPYycct8	OVERNIGHT	SEA	15	AAAAAAAAPAAAAAAA
15	DIAMOND	2mM8l	TWO DAY	SEA	16	AAAAAAAAABAAAAAA
16	None	5FKNB0j8aaqTB	LIBRARY	SEA	17	AAAAAAAABBAAAAAA
17	GERMAN	I3uCelXtjP	REGULAR	BIKE	18	AAAAAAAACBAAAAAA
18	HARMSTORF	fop0bcSd91J26IVpR	EXPRESS	BIKE	19	AAAAAAAADBAAAAAA
19	PRIVATE CARRIER	O9V6oF8RJnLMmZYd1	NEXT DAY	BIKE	20	AAAAAAAAEBAAAAAA

stg_ship_mode.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"ship_mode_renamed" AS (
    -- Rename: Renaming columns
    -- SM_SHIP_MODE_SK -> ship_mode_surrogate_key
    -- SM_SHIP_MODE_ID -> ship_mode_id
    -- SM_TYPE -> shipping_service_type
    -- SM_CODE -> shipping_method_code
    -- SM_CARRIER -> carrier_name
    -- SM_CONTRACT -> contract_id
    SELECT 
        "SM_SHIP_MODE_SK" AS "ship_mode_surrogate_key",
        "SM_SHIP_MODE_ID" AS "ship_mode_id",
        "SM_TYPE" AS "shipping_service_type",
        "SM_CODE" AS "shipping_method_code",
        "SM_CARRIER" AS "carrier_name",
        "SM_CONTRACT" AS "contract_id"
    FROM "ship_mode"
),

"ship_mode_renamed_cleaned" AS (
    -- Clean unusual string values: 
    -- carrier_name: The problem is that some carrier names have typos or inconsistent formatting. BARIAN is likely a misspelling of "BAVARIAN". GERMA is probably a truncation of "GERMAN". RUPEKSA doesn't seem to be a known carrier name and may be a data entry error. PRIVATECARRIER is inconsistent with the formatting of other entries, which are typically all uppercase without spaces. The correct values should be standardized to all uppercase, with typos and inconsistencies corrected. 
    SELECT
        "ship_mode_surrogate_key",
        "ship_mode_id",
        "shipping_service_type",
        "shipping_method_code",
        CASE
            WHEN "carrier_name" = 'BARIAN' THEN 'BAVARIAN'
            WHEN "carrier_name" = 'GERMA' THEN 'GERMAN'
            WHEN "carrier_name" = 'RUPEKSA' THEN ''
            WHEN "carrier_name" = 'PRIVATECARRIER' THEN 'PRIVATE CARRIER'
            ELSE "carrier_name"
        END AS "carrier_name",
        "contract_id"
    FROM "ship_mode_renamed"
),

"ship_mode_renamed_cleaned_null" AS (
    -- NULL Imputation: Impute Null to Disguised Missing Values
    -- carrier_name: ['']
    SELECT 
        CASE
            WHEN "carrier_name" = '' THEN NULL
            ELSE "carrier_name"
        END AS "carrier_name",
        "contract_id",
        "shipping_service_type",
        "shipping_method_code",
        "ship_mode_surrogate_key",
        "ship_mode_id"
    FROM "ship_mode_renamed_cleaned"
)

-- COCOON BLOCK END
SELECT * FROM "ship_mode_renamed_cleaned_null"

stg_ship_mode.yml (Document the table)

version: 2
models:
- name: stg_ship_mode
  description: The table is about shipping modes. It includes details such as a unique
    identifier, ship mode ID, type of shipping, shipping code, carrier name, and contract
    information. Each row represents a different shipping option, ranging from express
    to library shipping, with various carriers like UPS, FedEx, and DHL.
  columns:
  - name: carrier_name
    description: Name of the shipping company
    tests:
    - not_null
  - name: contract_id
    description: Unique contract identifier for the shipping mode
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column represents a unique contract identifier for the shipping
        mode. For this table, each row is a different shipping option. contract_id
        appears to be unique across rows, as it likely identifies a specific contract
        for each shipping service.
  - name: shipping_service_type
    description: Type or category of shipping service
    tests:
    - not_null
    - accepted_values:
        values:
        - EXPRESS
        - NEXT DAY
        - OVERNIGHT
        - REGULAR
        - TWO DAY
        - SAME DAY
        - STANDARD
        - PRIORITY
        - ECONOMY
        - INTERNATIONAL
        - GROUND
        - EXPEDITED
        - THREE DAY
        - FREIGHT
        - LIBRARY
  - name: shipping_method_code
    description: Code representing the shipping method
    tests:
    - not_null
    - accepted_values:
        values:
        - SEA
        - SURFACE
        - AIR
        - BIKE
        - RAIL
        - ROAD
        - EXPRESS
        - STANDARD
        - ECONOMY
        - OVERNIGHT
        - SAME_DAY
        - TWO_DAY
        - FREIGHT
        - COURIER
        - POSTAL
        - PICKUP
        - DROPOFF
  - name: ship_mode_surrogate_key
    description: Surrogate key for the shipping mode
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key for the shipping mode. For this table,
        each row is a different shipping option. As a surrogate key, it is designed
        to be unique for each row in the table.
  - name: ship_mode_id
    description: Unique identifier for the shipping mode
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a unique identifier for the shipping mode. For this
        table, each row is a different shipping option. ship_mode_id appears to be
        unique across rows, as it's specifically designed to identify each shipping
        mode uniquely.

stg_catalog_returns (first 100 rows)

	return_date_id	return_time_id	item_id	refunded_customer_id	refunded_customer_demo_id	refunded_household_demo_id	refunded_address_id	returning_customer_id	returning_customer_demo_id	returning_household_demo_id	returning_address_id	call_center_id	catalog_page_id	shipping_mode_id	warehouse_id	return_reason_id	order_number	return_quantity	return_amount	return_tax	return_amount_with_tax	return_fee	return_shipping_cost	refunded_cash	reversed_charge	store_credit	net_loss
0	2450926	45816	952	601	797995.0	6189.0	583.0	601.0	797995.0	4703.0	583.0	2.0	106	2.0	1.0	1.0	2	47	3888.31	233.29	4121.60	91.23	1348.90	3577.24	186.64	124.43	1673.42
1	2450946	74710	404	601	797995.0	6189.0	583.0	809.0	665550.0	991.0	832.0	2.0	17	2.0	1.0	1.0	2	49	2490.18	99.60	2589.78	52.54	1867.39	323.72	931.57	1234.89	2019.53
2	2451065	71104	1820	383	3755.0	2480.0	652.0	311.0	700704.0	5571.0	485.0	2.0	7	13.0	1.0	1.0	4	12	64.32	4.50	68.82	22.97	78.60	1.28	55.47	7.57	106.07
3	2450955	28638	988	801	90299.0	3797.0	495.0	681.0	1168758.0	7154.0	197.0	1.0	9	12.0	1.0	1.0	5	20	829.40	49.76	879.16	60.00	308.00	622.05	176.24	31.11	417.76
4	2451024	44538	1783	351	528859.0	5567.0	122.0	27.0	737861.0	54.0	647.0	1.0	78	12.0	1.0	1.0	6	6	403.08	36.27	439.35	4.58	199.44	354.71	27.57	20.80	240.29
5	2450993	10904	374	351	528859.0	5567.0	122.0	8.0	1289384.0	1410.0	436.0	1.0	54	7.0	1.0	1.0	6	7	23.17	1.85	25.02	19.85	7.07	6.25	9.64	7.28	28.77
6	2451018	60162	1844	674	NaN	NaN	NaN	994.0	NaN	NaN	335.0	NaN	2	NaN	NaN	NaN	9	3	413.94	0.00	NaN	NaN	NaN	318.73	35.22	59.99	185.36
7	2450929	30343	721	731	1046123.0	5715.0	107.0	927.0	865466.0	4658.0	697.0	2.0	65	14.0	1.0	1.0	11	17	1283.67	51.34	1335.01	71.97	58.31	449.28	183.56	650.83	181.62
8	2451061	53881	1094	731	1046123.0	5715.0	107.0	53.0	1827904.0	2936.0	968.0	2.0	42	11.0	1.0	1.0	11	9	29.79	1.19	30.98	91.16	59.67	0.00	20.85	8.94	152.02
9	2451042	11891	835	748	83584.0	2773.0	362.0	188.0	1816862.0	2974.0	286.0	1.0	11	2.0	1.0	1.0	12	61	2119.75	84.79	2204.54	30.32	271.45	1441.43	529.08	149.24	386.56
10	2451038	37877	1760	22	1502404.0	6833.0	662.0	294.0	1764552.0	4145.0	491.0	2.0	18	3.0	1.0	1.0	13	27	54.81	0.00	54.81	7.04	146.07	12.05	40.19	2.57	153.11
11	2450870	64669	370	22	1502404.0	6833.0	662.0	573.0	1482438.0	6726.0	614.0	2.0	43	18.0	1.0	1.0	13	18	100.44	5.02	105.46	70.47	196.92	9.03	82.26	9.15	272.41
12	2450956	64639	110	957	189998.0	3839.0	327.0	61.0	1639056.0	2195.0	287.0	2.0	56	17.0	1.0	1.0	16	40	407.60	32.60	440.20	2.01	296.40	362.76	19.72	25.12	331.01
13	2450944	15515	1762	957	189998.0	3839.0	327.0	292.0	1218513.0	1645.0	377.0	2.0	75	13.0	1.0	1.0	16	44	2157.76	43.15	2200.91	46.29	1280.84	1834.09	51.78	271.89	1370.28
14	2450991	44014	1582	3	599432.0	3708.0	937.0	895.0	1075366.0	3615.0	511.0	1.0	9	12.0	1.0	1.0	18	10	339.60	30.56	370.16	25.06	157.70	196.96	45.64	97.00	213.32
15	2451002	16008	1045	3	599432.0	3708.0	937.0	809.0	452924.0	4311.0	451.0	1.0	33	5.0	1.0	1.0	18	44	2618.44	235.65	2854.09	83.74	5117.64	968.82	65.98	1583.64	5437.03
16	2450989	38620	916	389	27132.0	4828.0	171.0	287.0	326203.0	512.0	421.0	2.0	100	8.0	1.0	1.0	19	44	6201.80	186.05	6387.85	29.08	1162.48	5891.71	173.65	136.44	1377.61
17	2451073	22065	722	751	1766792.0	2633.0	674.0	993.0	517281.0	2882.0	283.0	2.0	100	6.0	1.0	1.0	21	50	1654.00	82.70	1736.70	83.07	1034.00	1223.96	391.33	38.71	1199.77
18	2450986	71718	1936	242	541252.0	6015.0	978.0	550.0	640677.0	6379.0	728.0	1.0	30	14.0	1.0	1.0	22	3	12.87	0.90	13.77	84.18	124.62	0.90	9.45	2.52	209.70
19	2451003	73516	1738	242	541252.0	6015.0	978.0	346.0	125760.0	4274.0	988.0	1.0	45	3.0	1.0	1.0	22	30	2822.70	28.22	2850.92	25.25	1266.60	1072.62	122.50	1627.58	1320.07
20	2450869	71183	1430	242	541252.0	6015.0	978.0	328.0	1893150.0	6361.0	172.0	1.0	21	18.0	1.0	1.0	22	2	64.64	5.17	69.81	66.56	77.08	1.93	52.04	10.67	148.81
21	2450918	10436	992	703	600082.0	6661.0	87.0	371.0	178127.0	666.0	805.0	1.0	73	9.0	1.0	1.0	23	8	85.92	1.71	87.63	0.94	50.00	65.29	13.61	7.02	52.65
22	2451063	64648	200	764	1379528.0	6492.0	56.0	473.0	487719.0	1868.0	817.0	1.0	61	11.0	1.0	1.0	26	17	1603.95	128.31	1732.26	92.88	1262.08	914.25	517.27	172.43	1483.27
23	2450908	35973	1171	42	643025.0	4008.0	791.0	519.0	445572.0	6601.0	383.0	1.0	52	3.0	1.0	1.0	28	43	793.35	63.46	856.81	97.48	582.65	476.01	193.57	123.77	743.59
24	2451074	54503	1549	262	511666.0	7070.0	274.0	422.0	1020642.0	2223.0	357.0	2.0	82	13.0	1.0	1.0	31	28	1098.16	98.83	1196.99	51.07	299.32	680.85	208.65	208.66	449.22
25	2450993	7690	343	388	174162.0	3089.0	663.0	393.0	1678181.0	4527.0	73.0	1.0	22	5.0	1.0	1.0	32	13	419.25	37.73	456.98	27.33	259.87	234.78	184.47	0.00	324.93
26	2450906	74103	805	486	1309701.0	1516.0	378.0	488.0	1596473.0	703.0	286.0	1.0	35	9.0	1.0	1.0	33	1	7.80	0.31	8.11	57.79	7.22	3.51	2.35	1.94	65.32
27	2450983	83387	832	919	717893.0	914.0	888.0	899.0	733587.0	4279.0	571.0	2.0	54	7.0	1.0	1.0	35	32	5100.48	306.02	5406.50	83.98	377.60	5100.48	0.00	0.00	767.60
28	2450938	36423	946	988	467550.0	5112.0	321.0	221.0	1235634.0	3167.0	500.0	2.0	86	19.0	1.0	1.0	36	2	88.24	0.88	89.12	6.73	33.22	1.76	78.69	7.79	40.83
29	2450977	47666	1072	988	467550.0	5112.0	321.0	75.0	1897118.0	4028.0	538.0	2.0	52	1.0	1.0	1.0	36	69	1440.72	100.85	1541.57	2.22	0.00	720.36	36.01	684.35	103.07
30	2450963	75037	640	817	785079.0	1788.0	250.0	849.0	3803.0	6272.0	388.0	2.0	7	9.0	1.0	1.0	37	14	377.58	30.20	407.78	95.44	684.32	332.27	19.93	25.38	809.96
31	2450887	20595	560	61	1286495.0	4976.0	457.0	250.0	349487.0	5628.0	816.0	2.0	103	13.0	1.0	1.0	38	68	9568.28	669.77	10238.05	71.11	2192.32	2105.02	3433.09	4030.17	2933.20
32	2451012	37487	1036	898	1785329.0	2560.0	991.0	876.0	1456966.0	2056.0	99.0	2.0	26	15.0	1.0	1.0	39	39	4710.03	0.00	4710.03	53.59	2302.56	3815.12	635.38	259.53	2356.15
33	2450965	37170	1522	283	157402.0	4874.0	146.0	523.0	1865664.0	3345.0	426.0	1.0	74	9.0	1.0	1.0	40	40	1108.40	55.42	1163.82	77.46	408.80	1030.81	76.03	1.56	541.68
34	2450975	65871	1309	159	1915909.0	7059.0	962.0	338.0	488417.0	5969.0	168.0	2.0	72	11.0	1.0	1.0	42	10	815.70	65.25	880.95	24.41	674.50	40.78	23.24	751.68	764.16
35	2451040	77649	1220	183	1623252.0	3721.0	390.0	385.0	187670.0	4723.0	129.0	1.0	58	8.0	1.0	1.0	44	16	405.60	16.22	421.82	22.13	89.44	324.48	55.16	25.96	127.79
36	2450946	31349	1612	183	1623252.0	3721.0	390.0	971.0	1481620.0	29.0	38.0	1.0	108	11.0	1.0	1.0	44	20	1854.60	37.09	1891.69	51.41	927.20	1075.66	646.52	132.42	1015.70
37	2451061	54565	1400	305	527683.0	6708.0	486.0	217.0	252890.0	3009.0	728.0	2.0	98	18.0	1.0	1.0	45	1	9.89	0.09	9.98	5.19	16.60	5.43	2.14	2.32	21.88
38	2450858	74844	361	305	527683.0	6708.0	486.0	422.0	1717248.0	6779.0	510.0	2.0	27	10.0	1.0	1.0	45	38	1472.50	103.07	1575.57	84.52	17.10	265.05	386.38	821.07	204.69
39	2450949	54638	1717	871	830328.0	6585.0	842.0	7.0	853051.0	4346.0	994.0	2.0	78	12.0	1.0	1.0	46	50	1329.50	79.77	1409.27	30.45	52.00	1076.89	166.72	85.89	162.22
40	2450967	36814	1820	871	830328.0	6585.0	842.0	246.0	1490672.0	3850.0	581.0	2.0	36	8.0	1.0	1.0	46	70	6902.00	207.06	7109.06	42.78	1401.40	5107.48	1740.68	53.84	1651.24
41	2451006	18610	1837	722	553976.0	3877.0	331.0	648.0	1555212.0	401.0	143.0	2.0	74	10.0	1.0	1.0	47	49	3888.64	0.00	3888.64	43.74	3295.74	2605.38	667.29	615.97	3339.48
42	2450968	52092	166	375	1166269.0	3010.0	504.0	422.0	1491876.0	7131.0	339.0	1.0	43	10.0	1.0	1.0	48	10	892.10	26.76	918.86	75.24	1040.80	811.81	72.26	8.03	1142.80
43	2450993	56863	1405	786	196899.0	2059.0	219.0	658.0	678147.0	7063.0	932.0	1.0	53	13.0	1.0	1.0	52	14	288.82	5.77	294.59	84.41	151.76	66.42	204.60	17.80	241.94
44	2451038	23109	829	786	196899.0	2059.0	219.0	627.0	1013398.0	1201.0	404.0	1.0	84	7.0	1.0	1.0	52	33	292.05	5.84	297.89	69.38	15.18	122.66	64.36	105.03	90.40
45	2450927	46513	1322	643	1592501.0	4159.0	664.0	188.0	1308684.0	1449.0	567.0	2.0	11	2.0	1.0	1.0	55	1	21.25	0.85	22.10	94.74	2.39	17.21	0.20	3.84	97.98
46	2450983	71731	1214	127	1346606.0	6038.0	270.0	897.0	1493518.0	3358.0	445.0	2.0	92	12.0	1.0	1.0	56	4	6.04	0.06	6.10	23.32	260.68	2.53	0.42	3.09	284.06
47	2450944	44105	410	732	677128.0	5571.0	567.0	757.0	1779943.0	862.0	28.0	1.0	34	5.0	1.0	1.0	57	34	3039.60	60.79	3100.39	61.21	719.78	1215.84	291.80	1531.96	841.78
48	2450943	15203	818	732	677128.0	5571.0	567.0	948.0	89333.0	5045.0	957.0	1.0	85	6.0	1.0	1.0	57	21	82.95	4.14	87.09	57.08	62.16	47.28	15.33	20.34	123.38
49	2451039	45152	1687	940	1030863.0	6139.0	62.0	177.0	42517.0	4863.0	762.0	1.0	92	20.0	1.0	1.0	58	37	509.86	0.00	509.86	78.85	963.11	163.15	41.60	305.11	1041.96
50	2450909	69632	1342	363	683276.0	4942.0	55.0	719.0	1594118.0	4137.0	203.0	1.0	30	20.0	1.0	1.0	62	14	346.64	10.39	357.03	95.78	186.20	336.24	6.13	4.27	292.37
51	2451044	37030	520	363	683276.0	4942.0	55.0	393.0	1322943.0	2774.0	452.0	1.0	47	19.0	1.0	1.0	62	11	126.94	0.00	126.94	71.55	112.75	49.50	56.53	20.91	184.30
52	2450919	69296	631	363	683276.0	4942.0	55.0	799.0	1828157.0	6005.0	453.0	1.0	44	3.0	1.0	1.0	62	33	218.79	17.50	236.29	23.13	464.64	94.07	115.98	8.74	505.27
53	2450863	46270	1735	758	1148029.0	2853.0	124.0	919.0	1126300.0	3007.0	314.0	1.0	5	2.0	1.0	1.0	63	54	2701.08	162.06	2863.14	3.08	2132.46	594.23	1896.16	210.69	2297.60
54	2450986	37706	1928	758	1148029.0	2853.0	124.0	122.0	1718117.0	3509.0	748.0	1.0	105	5.0	1.0	1.0	63	8	171.20	6.84	178.04	83.12	29.52	20.54	58.75	91.91	119.48
55	2450987	42160	680	621	1225267.0	960.0	53.0	750.0	1014769.0	971.0	373.0	2.0	93	19.0	1.0	1.0	64	11	434.17	26.05	460.22	55.21	248.05	347.33	86.84	0.00	329.31
56	2450925	54924	1316	336	785982.0	3228.0	874.0	856.0	1134477.0	4252.0	980.0	2.0	78	18.0	1.0	1.0	66	3	181.65	9.08	190.73	98.27	0.00	56.31	82.72	42.62	107.35
57	2450936	19990	1736	336	785982.0	3228.0	874.0	131.0	1110002.0	2615.0	75.0	2.0	64	8.0	1.0	1.0	66	23	458.85	36.70	495.55	35.46	305.90	293.66	165.19	0.00	378.06
58	2450920	68157	727	214	1227752.0	1090.0	181.0	436.0	1862046.0	4849.0	205.0	2.0	102	13.0	1.0	1.0	67	42	7.14	0.57	7.71	30.38	3.78	2.07	1.41	3.66	34.73
59	2450949	17521	596	214	1227752.0	1090.0	181.0	304.0	1378959.0	4311.0	910.0	2.0	63	13.0	1.0	1.0	67	39	721.11	64.89	786.00	45.74	484.38	7.21	35.69	678.21	595.01
60	2451014	60949	1262	214	1227752.0	1090.0	181.0	612.0	1195468.0	3695.0	522.0	2.0	17	10.0	1.0	1.0	67	28	182.00	12.74	194.74	11.87	49.28	127.40	3.27	51.33	73.89
61	2450909	27281	394	907	163011.0	3515.0	819.0	807.0	15782.0	1929.0	629.0	1.0	79	3.0	1.0	1.0	68	14	732.90	0.00	732.90	24.07	586.32	622.96	107.74	2.20	610.39
62	2451035	72342	1262	376	1694169.0	6315.0	708.0	985.0	398527.0	5033.0	92.0	2.0	42	10.0	1.0	1.0	71	18	547.02	38.29	585.31	58.57	40.14	54.70	443.08	49.24	137.00
63	2450991	20519	1159	24	589162.0	653.0	144.0	744.0	1117994.0	786.0	531.0	1.0	1	13.0	1.0	1.0	73	64	2634.24	210.73	2844.97	91.85	1114.24	2370.81	134.34	129.09	1416.82
64	2450942	86370	1520	448	1738817.0	4139.0	661.0	880.0	698232.0	4263.0	494.0	1.0	48	14.0	1.0	1.0	74	5	125.20	10.01	135.21	23.50	262.90	1.25	97.92	26.03	296.41
65	2450940	4395	1016	543	1096330.0	7070.0	457.0	572.0	900814.0	578.0	542.0	1.0	76	7.0	1.0	1.0	75	3	101.04	4.04	105.08	46.13	74.91	83.86	6.35	10.83	125.08
66	2450987	60432	1813	543	1096330.0	7070.0	457.0	637.0	1169478.0	2888.0	651.0	1.0	48	14.0	1.0	1.0	75	2	117.34	9.38	126.72	89.84	50.88	28.16	8.91	80.27	150.10
67	2450915	43293	274	674	1087861.0	448.0	635.0	74.0	1540251.0	1673.0	448.0	2.0	80	20.0	1.0	1.0	77	3	20.61	0.82	21.43	44.76	18.42	18.34	1.43	0.84	64.00
68	2450970	82263	1345	674	NaN	NaN	635.0	NaN	NaN	6513.0	NaN	2.0	89	NaN	NaN	1.0	77	10	839.90	50.39	NaN	NaN	425.70	NaN	NaN	196.55	NaN
69	2450926	62016	187	674	1087861.0	448.0	635.0	247.0	1603603.0	380.0	757.0	2.0	39	15.0	1.0	1.0	77	36	197.28	9.86	207.14	39.53	146.52	71.02	47.97	78.29	195.91
70	2450958	34973	278	641	1516877.0	960.0	596.0	8.0	1059029.0	5992.0	108.0	1.0	44	3.0	1.0	1.0	80	40	3567.60	0.00	3567.60	96.68	2583.60	3103.81	398.85	64.94	2680.28
71	2450899	73899	1528	641	1516877.0	960.0	596.0	63.0	1206262.0	2807.0	752.0	1.0	63	7.0	1.0	1.0	80	52	2883.40	0.00	2883.40	55.61	1086.80	634.34	787.17	1461.89	1142.41
72	2450957	54159	218	942	1441792.0	4242.0	139.0	208.0	109514.0	3643.0	619.0	1.0	32	13.0	1.0	1.0	83	2	129.04	5.16	134.20	98.47	52.36	43.87	44.28	40.89	155.99
73	2451018	34791	1402	942	1441792.0	4242.0	139.0	137.0	1385649.0	6797.0	192.0	1.0	97	3.0	1.0	1.0	83	12	406.92	28.48	435.40	81.31	197.64	236.01	111.09	59.82	307.43
74	2451002	51666	1346	224	47350.0	5629.0	508.0	515.0	274687.0	2921.0	755.0	1.0	55	4.0	1.0	1.0	86	17	1077.29	43.09	1120.38	11.03	1179.97	441.68	603.82	31.79	1234.09
75	2450889	82535	1094	224	47350.0	5629.0	508.0	133.0	1494396.0	7123.0	403.0	1.0	25	17.0	1.0	1.0	86	70	5176.50	207.06	5383.56	45.50	1293.60	5072.97	92.14	11.39	1546.16
76	2451005	76680	862	224	47350.0	5629.0	508.0	617.0	398869.0	6573.0	277.0	1.0	16	2.0	1.0	1.0	86	4	623.60	24.94	648.54	12.61	95.24	56.12	380.21	187.27	132.79
77	2451050	73402	871	977	1492959.0	5894.0	829.0	464.0	1002026.0	1035.0	997.0	2.0	67	17.0	1.0	1.0	89	15	763.80	0.00	763.80	4.63	361.80	114.57	253.19	396.04	366.43
78	2450979	48909	181	24	552511.0	1551.0	838.0	912.0	1698770.0	416.0	462.0	2.0	84	7.0	1.0	1.0	92	72	5989.68	539.07	6528.75	69.34	5682.24	1497.42	4402.41	89.85	6290.65
79	2450851	76961	1850	24	552511.0	1551.0	838.0	397.0	1886218.0	6642.0	219.0	2.0	81	17.0	1.0	1.0	92	3	159.63	7.98	167.61	75.26	32.46	0.00	1.59	158.04	115.70
80	2451054	38828	128	204	1098811.0	5665.0	872.0	204.0	1098811.0	1191.0	872.0	1.0	77	10.0	1.0	1.0	93	11	648.56	38.91	687.47	70.54	108.02	142.68	318.70	187.18	217.47
81	2451058	40911	494	93	1871653.0	1166.0	126.0	834.0	469308.0	147.0	633.0	1.0	13	11.0	1.0	1.0	95	54	3159.00	31.59	3190.59	1.50	519.48	1200.42	1468.93	489.65	552.57
82	2451007	31416	220	951	1504890.0	3382.0	721.0	951.0	1504890.0	429.0	721.0	1.0	107	11.0	1.0	1.0	97	33	0.00	0.00	0.00	83.44	2611.62	0.00	0.00	0.00	2695.06
83	2451026	61592	806	659	400535.0	811.0	887.0	768.0	714707.0	1762.0	417.0	2.0	197	15.0	1.0	1.0	99	15	91.65	2.74	94.39	68.20	40.80	52.24	24.82	14.59	111.74
84	2450909	69684	1448	659	400535.0	811.0	887.0	553.0	1079964.0	6880.0	596.0	2.0	91	4.0	1.0	1.0	99	26	48.10	1.44	49.54	6.32	214.24	23.56	1.47	23.07	222.00
85	2451012	48520	559	651	896753.0	655.0	357.0	147.0	609116.0	985.0	701.0	1.0	10	15.0	1.0	1.0	100	13	352.69	14.10	366.79	52.43	4.29	193.97	80.94	77.78	70.82
86	2450963	36885	1784	623	351944.0	218.0	139.0	172.0	1026902.0	1465.0	75.0	2.0	36	11.0	1.0	1.0	101	21	119.49	0.00	119.49	72.97	2033.01	46.60	69.24	3.65	2105.98
87	2451018	3015	476	623	351944.0	218.0	139.0	469.0	1395145.0	4004.0	216.0	2.0	162	12.0	1.0	1.0	101	10	290.10	17.40	307.50	90.31	77.30	168.25	52.39	69.46	185.01
88	2450973	66374	820	410	698752.0	4094.0	836.0	924.0	615789.0	900.0	164.0	1.0	33	10.0	1.0	1.0	102	33	1898.82	151.90	2050.72	94.21	976.47	1253.22	464.83	180.77	1222.58
89	2450923	4412	440	410	698752.0	4094.0	836.0	410.0	698752.0	881.0	836.0	1.0	26	14.0	1.0	1.0	102	1	10.39	0.41	10.80	49.12	14.84	10.39	0.00	0.00	64.37
90	2450868	29430	1369	111	1835190.0	5916.0	195.0	957.0	1480884.0	1910.0	936.0	1.0	214	14.0	1.0	1.0	103	9	61.11	3.66	64.77	74.43	48.87	8.55	33.63	18.93	126.96
91	2450921	62646	316	648	421422.0	6643.0	217.0	102.0	175256.0	5750.0	44.0	1.0	84	6.0	1.0	1.0	104	26	70.46	4.22	74.68	4.70	264.94	56.36	2.96	11.14	273.86
92	2450908	36699	502	648	421422.0	6643.0	217.0	261.0	1383491.0	1012.0	133.0	1.0	20	9.0	1.0	1.0	104	5	5.30	0.05	5.35	39.83	39.80	4.45	0.84	0.01	79.68
93	2450930	23430	1810	7	621140.0	4826.0	959.0	210.0	248712.0	4060.0	808.0	2.0	24	12.0	1.0	1.0	105	12	1153.32	92.26	1245.58	89.75	29.52	542.06	48.90	562.36	211.53
94	2450886	77970	1258	481	663720.0	3159.0	551.0	438.0	519045.0	5508.0	171.0	2.0	21	20.0	1.0	1.0	107	21	1340.22	26.80	1367.02	64.34	1235.01	1018.56	192.99	128.67	1326.15
95	2450979	59967	766	770	285795.0	5220.0	645.0	902.0	92062.0	5189.0	916.0	2.0	18	17.0	1.0	1.0	108	42	776.16	69.85	846.01	58.69	161.70	69.85	289.58	416.73	290.24
96	2450989	73597	1160	615	947475.0	288.0	148.0	782.0	17546.0	4351.0	709.0	2.0	111	10.0	1.0	1.0	109	35	6849.15	273.96	7123.11	21.77	3311.70	4040.99	673.95	2134.21	3607.43
97	2450922	72030	802	450	1173022.0	2394.0	366.0	518.0	458253.0	950.0	847.0	2.0	51	18.0	1.0	1.0	110	50	403.00	32.24	435.24	81.15	76.00	120.90	104.37	177.73	189.39
98	2450979	71329	289	450	1173022.0	2394.0	366.0	518.0	1494517.0	158.0	199.0	2.0	166	2.0	1.0	1.0	110	11	840.40	58.82	899.22	69.08	336.16	344.56	476.00	19.84	464.06

stg_catalog_returns.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"catalog_returns_renamed" AS (
    -- Rename: Renaming columns
    -- CR_RETURNED_DATE_SK -> return_date_id
    -- CR_RETURNED_TIME_SK -> return_time_id
    -- CR_ITEM_SK -> item_id
    -- CR_REFUNDED_CUSTOMER_SK -> refunded_customer_id
    -- CR_REFUNDED_CDEMO_SK -> refunded_customer_demo_id
    -- CR_REFUNDED_HDEMO_SK -> refunded_household_demo_id
    -- CR_REFUNDED_ADDR_SK -> refunded_address_id
    -- CR_RETURNING_CUSTOMER_SK -> returning_customer_id
    -- CR_RETURNING_CDEMO_SK -> returning_customer_demo_id
    -- CR_RETURNING_HDEMO_SK -> returning_household_demo_id
    -- CR_RETURNING_ADDR_SK -> returning_address_id
    -- CR_CALL_CENTER_SK -> call_center_id
    -- CR_CATALOG_PAGE_SK -> catalog_page_id
    -- CR_SHIP_MODE_SK -> shipping_mode_id
    -- CR_WAREHOUSE_SK -> warehouse_id
    -- CR_REASON_SK -> return_reason_id
    -- CR_ORDER_NUMBER -> order_number
    -- CR_RETURN_QUANTITY -> return_quantity
    -- CR_RETURN_AMOUNT -> return_amount
    -- CR_RETURN_TAX -> return_tax
    -- CR_RETURN_AMT_INC_TAX -> return_amount_with_tax
    -- CR_FEE -> return_fee
    -- CR_RETURN_SHIP_COST -> return_shipping_cost
    -- CR_REFUNDED_CASH -> refunded_cash
    -- CR_REVERSED_CHARGE -> reversed_charge
    -- CR_STORE_CREDIT -> store_credit
    -- CR_NET_LOSS -> net_loss
    SELECT 
        "CR_RETURNED_DATE_SK" AS "return_date_id",
        "CR_RETURNED_TIME_SK" AS "return_time_id",
        "CR_ITEM_SK" AS "item_id",
        "CR_REFUNDED_CUSTOMER_SK" AS "refunded_customer_id",
        "CR_REFUNDED_CDEMO_SK" AS "refunded_customer_demo_id",
        "CR_REFUNDED_HDEMO_SK" AS "refunded_household_demo_id",
        "CR_REFUNDED_ADDR_SK" AS "refunded_address_id",
        "CR_RETURNING_CUSTOMER_SK" AS "returning_customer_id",
        "CR_RETURNING_CDEMO_SK" AS "returning_customer_demo_id",
        "CR_RETURNING_HDEMO_SK" AS "returning_household_demo_id",
        "CR_RETURNING_ADDR_SK" AS "returning_address_id",
        "CR_CALL_CENTER_SK" AS "call_center_id",
        "CR_CATALOG_PAGE_SK" AS "catalog_page_id",
        "CR_SHIP_MODE_SK" AS "shipping_mode_id",
        "CR_WAREHOUSE_SK" AS "warehouse_id",
        "CR_REASON_SK" AS "return_reason_id",
        "CR_ORDER_NUMBER" AS "order_number",
        "CR_RETURN_QUANTITY" AS "return_quantity",
        "CR_RETURN_AMOUNT" AS "return_amount",
        "CR_RETURN_TAX" AS "return_tax",
        "CR_RETURN_AMT_INC_TAX" AS "return_amount_with_tax",
        "CR_FEE" AS "return_fee",
        "CR_RETURN_SHIP_COST" AS "return_shipping_cost",
        "CR_REFUNDED_CASH" AS "refunded_cash",
        "CR_REVERSED_CHARGE" AS "reversed_charge",
        "CR_STORE_CREDIT" AS "store_credit",
        "CR_NET_LOSS" AS "net_loss"
    FROM "catalog_returns"
)

-- COCOON BLOCK END
SELECT * FROM "catalog_returns_renamed"

stg_catalog_returns.yml (Document the table)

version: 2
models:
- name: stg_catalog_returns
  description: The table is about catalog returns. It includes details such as return
    date, item, customer, reason, and financial information. Each row represents a
    single return transaction with associated quantities, amounts, taxes, fees, and
    shipping costs. The table also tracks refunds, reversed charges, and store credits
    for each return.
  columns:
  - name: return_date_id
    description: Return date surrogate key
    tests:
    - not_null
  - name: return_time_id
    description: Return time surrogate key
    tests:
    - not_null
  - name: item_id
    description: Item surrogate key
    tests:
    - not_null
  - name: refunded_customer_id
    description: Refunded customer surrogate key
    tests:
    - not_null
  - name: refunded_customer_demo_id
    description: Refunded customer demographics surrogate key
    tests:
    - not_null
  - name: refunded_household_demo_id
    description: Refunded household demographics surrogate key
    tests:
    - not_null
  - name: refunded_address_id
    description: Refunded address surrogate key
    tests:
    - not_null
  - name: returning_customer_id
    description: Returning customer surrogate key
    tests:
    - not_null
  - name: returning_customer_demo_id
    description: Returning customer demographics surrogate key
    tests:
    - not_null
  - name: returning_household_demo_id
    description: Returning household demographics surrogate key
    tests:
    - not_null
  - name: returning_address_id
    description: Returning address surrogate key
    tests:
    - not_null
  - name: call_center_id
    description: Call center surrogate key
    tests:
    - not_null
  - name: catalog_page_id
    description: Catalog page surrogate key
    tests:
    - not_null
  - name: shipping_mode_id
    description: Shipping mode surrogate key
    tests:
    - not_null
  - name: warehouse_id
    description: Warehouse surrogate key
    tests:
    - not_null
  - name: return_reason_id
    description: Return reason surrogate key
    tests:
    - not_null
  - name: order_number
    description: Original order number
    tests:
    - not_null
  - name: return_quantity
    description: Quantity of items returned
    tests:
    - not_null
  - name: return_amount
    description: Return amount before tax
    tests:
    - not_null
  - name: return_tax
    description: Tax amount for the return
    tests:
    - not_null
  - name: return_amount_with_tax
    description: Return amount including tax
    tests:
    - not_null
  - name: return_fee
    description: Fee associated with the return
    tests:
    - not_null
  - name: return_shipping_cost
    description: Shipping cost for the return
    tests:
    - not_null
  - name: refunded_cash
    description: Amount refunded in cash
    tests:
    - not_null
  - name: reversed_charge
    description: Amount of reversed charges
    tests:
    - not_null
  - name: store_credit
    description: Store credit issued for the return
    tests:
    - not_null
  - name: net_loss
    description: Net loss from the return
    tests:
    - not_null

stg_date_dim (first 100 rows)

	date_sk	date_id	month_seq	week_seq	quarter_seq	D_YEAR	day_of_week	month_of_year	day_of_month	quarter_of_year	fiscal_year	fiscal_quarter_seq	fiscal_week_seq	day_name	quarter_name	first_day_of_month	last_day_of_month	same_day_last_year	same_day_last_quarter	D_DATE	is_current_day	is_current_month	is_current_quarter	is_current_week	is_current_year	is_following_holiday	is_holiday	is_weekend
0	2415022	AAAAAAAAOKJNECAA	0	1	1	1900	1	1	2	1	1900	1	1	Monday	1900Q1	2415021	2415020	2414657	2414930	1900-01-02	False	False	False	False	False	True	False	False
1	2415023	AAAAAAAAPKJNECAA	0	1	1	1900	2	1	3	1	1900	1	1	Tuesday	1900Q1	2415021	2415020	2414658	2414931	1900-01-03	False	False	False	False	False	False	False	False
2	2415024	AAAAAAAAALJNECAA	0	1	1	1900	3	1	4	1	1900	1	1	Wednesday	1900Q1	2415021	2415020	2414659	2414932	1900-01-04	False	False	False	False	False	False	False	False
3	2415025	AAAAAAAABLJNECAA	0	1	1	1900	4	1	5	1	1900	1	1	Thursday	1900Q1	2415021	2415020	2414660	2414933	1900-01-05	False	False	False	False	False	False	False	False
4	2415026	AAAAAAAACLJNECAA	0	1	1	1900	5	1	6	1	1900	1	1	Friday	1900Q1	2415021	2415020	2414661	2414934	1900-01-06	False	False	False	False	False	False	False	True
5	2415027	AAAAAAAADLJNECAA	0	1	1	1900	6	1	7	1	1900	1	1	Saturday	1900Q1	2415021	2415020	2414662	2414935	1900-01-07	False	False	False	False	False	False	False	True
6	2415028	AAAAAAAAELJNECAA	0	1	1	1900	0	1	8	1	1900	1	1	Sunday	1900Q1	2415021	2415020	2414663	2414936	1900-01-08	False	False	False	False	False	False	False	False
7	2415029	AAAAAAAAFLJNECAA	0	2	1	1900	1	1	9	1	1900	1	2	Monday	1900Q1	2415021	2415020	2414664	2414937	1900-01-09	False	False	False	False	False	False	False	False
8	2415030	AAAAAAAAGLJNECAA	0	2	1	1900	2	1	10	1	1900	1	2	Tuesday	1900Q1	2415021	2415020	2414665	2414938	1900-01-10	False	False	False	False	False	False	False	False
9	2415031	AAAAAAAAHLJNECAA	0	2	1	1900	3	1	11	1	1900	1	2	Wednesday	1900Q1	2415021	2415020	2414666	2414939	1900-01-11	False	False	False	False	False	False	False	False
10	2415032	AAAAAAAAILJNECAA	0	2	1	1900	4	1	12	1	1900	1	2	Thursday	1900Q1	2415021	2415020	2414667	2414940	1900-01-12	False	False	False	False	False	False	False	False
11	2415033	AAAAAAAAJLJNECAA	0	2	1	1900	5	1	13	1	1900	1	2	Friday	1900Q1	2415021	2415020	2414668	2414941	1900-01-13	False	False	False	False	False	False	False	True
12	2415034	AAAAAAAAKLJNECAA	0	2	1	1900	6	1	14	1	1900	1	2	Saturday	1900Q1	2415021	2415020	2414669	2414942	1900-01-14	False	False	False	False	False	False	False	True
13	2415035	AAAAAAAALLJNECAA	0	2	1	1900	0	1	15	1	1900	1	2	Sunday	1900Q1	2415021	2415020	2414670	2414943	1900-01-15	False	False	False	False	False	False	False	False
14	2415036	AAAAAAAAMLJNECAA	0	3	1	1900	1	1	16	1	1900	1	3	Monday	1900Q1	2415021	2415020	2414671	2414944	1900-01-16	False	False	False	False	False	False	False	False
15	2415037	AAAAAAAANLJNECAA	0	3	1	1900	2	1	17	1	1900	1	3	Tuesday	1900Q1	2415021	2415020	2414672	2414945	1900-01-17	False	False	False	False	False	False	False	False
16	2415038	AAAAAAAAOLJNECAA	0	3	1	1900	3	1	18	1	1900	1	3	Wednesday	1900Q1	2415021	2415020	2414673	2414946	1900-01-18	False	False	False	False	False	False	False	False
17	2415039	AAAAAAAAPLJNECAA	0	3	1	1900	4	1	19	1	1900	1	3	Thursday	1900Q1	2415021	2415020	2414674	2414947	1900-01-19	False	False	False	False	False	False	False	False
18	2415040	AAAAAAAAAMJNECAA	0	3	1	1900	5	1	20	1	1900	1	3	Friday	1900Q1	2415021	2415020	2414675	2414948	1900-01-20	False	False	False	False	False	False	False	True
19	2415041	AAAAAAAABMJNECAA	0	3	1	1900	6	1	21	1	1900	1	3	Saturday	1900Q1	2415021	2415020	2414676	2414949	1900-01-21	False	False	False	False	False	False	False	True
20	2415042	AAAAAAAACMJNECAA	0	3	1	1900	0	1	22	1	1900	1	3	Sunday	1900Q1	2415021	2415020	2414677	2414950	1900-01-22	False	False	False	False	False	False	False	False
21	2415043	AAAAAAAADMJNECAA	0	4	1	1900	1	1	23	1	1900	1	4	Monday	1900Q1	2415021	2415020	2414678	2414951	1900-01-23	False	False	False	False	False	False	False	False
22	2415044	AAAAAAAAEMJNECAA	0	4	1	1900	2	1	24	1	1900	1	4	Tuesday	1900Q1	2415021	2415020	2414679	2414952	1900-01-24	False	False	False	False	False	False	False	False
23	2415045	AAAAAAAAFMJNECAA	0	4	1	1900	3	1	25	1	1900	1	4	Wednesday	1900Q1	2415021	2415020	2414680	2414953	1900-01-25	False	False	False	False	False	False	False	False
24	2415046	AAAAAAAAGMJNECAA	0	4	1	1900	4	1	26	1	1900	1	4	Thursday	1900Q1	2415021	2415020	2414681	2414954	1900-01-26	False	False	False	False	False	False	False	False
25	2415047	AAAAAAAAHMJNECAA	0	4	1	1900	5	1	27	1	1900	1	4	Friday	1900Q1	2415021	2415020	2414682	2414955	1900-01-27	False	False	False	False	False	False	False	True
26	2415048	AAAAAAAAIMJNECAA	0	4	1	1900	6	1	28	1	1900	1	4	Saturday	1900Q1	2415021	2415020	2414683	2414956	1900-01-28	False	False	False	False	False	False	False	True
27	2415049	AAAAAAAAJMJNECAA	0	4	1	1900	0	1	29	1	1900	1	4	Sunday	1900Q1	2415021	2415020	2414684	2414957	1900-01-29	False	False	False	False	False	False	False	False
28	2415050	AAAAAAAAKMJNECAA	0	5	1	1900	1	1	30	1	1900	1	5	Monday	1900Q1	2415021	2415020	2414685	2414958	1900-01-30	False	False	False	False	False	False	False	False
29	2415051	AAAAAAAALMJNECAA	0	5	1	1900	2	1	31	1	1900	1	5	Tuesday	1900Q1	2415021	2415020	2414686	2414959	1900-01-31	False	False	False	False	False	False	False	False
30	2415052	AAAAAAAAMMJNECAA	1	5	1	1900	3	2	1	1	1900	1	5	Wednesday	1900Q1	2415052	2415082	2414687	2414960	1900-02-01	False	False	False	False	False	False	False	False
31	2415053	AAAAAAAANMJNECAA	1	5	1	1900	4	2	2	1	1900	1	5	Thursday	1900Q1	2415052	2415082	2414688	2414961	1900-02-02	False	False	False	False	False	False	False	False
32	2415054	AAAAAAAAOMJNECAA	1	5	1	1900	5	2	3	1	1900	1	5	Friday	1900Q1	2415052	2415082	2414689	2414962	1900-02-03	False	False	False	False	False	False	False	True
33	2415055	AAAAAAAAPMJNECAA	1	5	1	1900	6	2	4	1	1900	1	5	Saturday	1900Q1	2415052	2415082	2414690	2414963	1900-02-04	False	False	False	False	False	False	False	True
34	2415056	AAAAAAAAANJNECAA	1	5	1	1900	0	2	5	1	1900	1	5	Sunday	1900Q1	2415052	2415082	2414691	2414964	1900-02-05	False	False	False	False	False	False	False	False
35	2415057	AAAAAAAABNJNECAA	1	6	1	1900	1	2	6	1	1900	1	6	Monday	1900Q1	2415052	2415082	2414692	2414965	1900-02-06	False	False	False	False	False	False	False	False
36	2415058	AAAAAAAACNJNECAA	1	6	1	1900	2	2	7	1	1900	1	6	Tuesday	1900Q1	2415052	2415082	2414693	2414966	1900-02-07	False	False	False	False	False	False	False	False
37	2415059	AAAAAAAADNJNECAA	1	6	1	1900	3	2	8	1	1900	1	6	Wednesday	1900Q1	2415052	2415082	2414694	2414967	1900-02-08	False	False	False	False	False	False	False	False
38	2415060	AAAAAAAAENJNECAA	1	6	1	1900	4	2	9	1	1900	1	6	Thursday	1900Q1	2415052	2415082	2414695	2414968	1900-02-09	False	False	False	False	False	False	False	False
39	2415061	AAAAAAAAFNJNECAA	1	6	1	1900	5	2	10	1	1900	1	6	Friday	1900Q1	2415052	2415082	2414696	2414969	1900-02-10	False	False	False	False	False	False	False	True
40	2415062	AAAAAAAAGNJNECAA	1	6	1	1900	6	2	11	1	1900	1	6	Saturday	1900Q1	2415052	2415082	2414697	2414970	1900-02-11	False	False	False	False	False	False	False	True
41	2415063	AAAAAAAAHNJNECAA	1	6	1	1900	0	2	12	1	1900	1	6	Sunday	1900Q1	2415052	2415082	2414698	2414971	1900-02-12	False	False	False	False	False	False	False	False
42	2415064	AAAAAAAAINJNECAA	1	7	1	1900	1	2	13	1	1900	1	7	Monday	1900Q1	2415052	2415082	2414699	2414972	1900-02-13	False	False	False	False	False	False	False	False
43	2415065	AAAAAAAAJNJNECAA	1	7	1	1900	2	2	14	1	1900	1	7	Tuesday	1900Q1	2415052	2415082	2414700	2414973	1900-02-14	False	False	False	False	False	False	False	False
44	2415066	AAAAAAAAKNJNECAA	1	7	1	1900	3	2	15	1	1900	1	7	Wednesday	1900Q1	2415052	2415082	2414701	2414974	1900-02-15	False	False	False	False	False	False	False	False
45	2415067	AAAAAAAALNJNECAA	1	7	1	1900	4	2	16	1	1900	1	7	Thursday	1900Q1	2415052	2415082	2414702	2414975	1900-02-16	False	False	False	False	False	False	False	False
46	2415068	AAAAAAAAMNJNECAA	1	7	1	1900	5	2	17	1	1900	1	7	Friday	1900Q1	2415052	2415082	2414703	2414976	1900-02-17	False	False	False	False	False	False	False	True
47	2415069	AAAAAAAANNJNECAA	1	7	1	1900	6	2	18	1	1900	1	7	Saturday	1900Q1	2415052	2415082	2414704	2414977	1900-02-18	False	False	False	False	False	False	False	True
48	2415070	AAAAAAAAONJNECAA	1	7	1	1900	0	2	19	1	1900	1	7	Sunday	1900Q1	2415052	2415082	2414705	2414978	1900-02-19	False	False	False	False	False	False	False	False
49	2415071	AAAAAAAAPNJNECAA	1	8	1	1900	1	2	20	1	1900	1	8	Monday	1900Q1	2415052	2415082	2414706	2414979	1900-02-20	False	False	False	False	False	False	False	False
50	2415072	AAAAAAAAAOJNECAA	1	8	1	1900	2	2	21	1	1900	1	8	Tuesday	1900Q1	2415052	2415082	2414707	2414980	1900-02-21	False	False	False	False	False	False	False	False
51	2415073	AAAAAAAABOJNECAA	1	8	1	1900	3	2	22	1	1900	1	8	Wednesday	1900Q1	2415052	2415082	2414708	2414981	1900-02-22	False	False	False	False	False	False	False	False
52	2415074	AAAAAAAACOJNECAA	1	8	1	1900	4	2	23	1	1900	1	8	Thursday	1900Q1	2415052	2415082	2414709	2414982	1900-02-23	False	False	False	False	False	False	False	False
53	2415075	AAAAAAAADOJNECAA	1	8	1	1900	5	2	24	1	1900	1	8	Friday	1900Q1	2415052	2415082	2414710	2414983	1900-02-24	False	False	False	False	False	False	False	True
54	2415076	AAAAAAAAEOJNECAA	1	8	1	1900	6	2	25	1	1900	1	8	Saturday	1900Q1	2415052	2415082	2414711	2414984	1900-02-25	False	False	False	False	False	False	False	True
55	2415077	AAAAAAAAFOJNECAA	1	8	1	1900	0	2	26	1	1900	1	8	Sunday	1900Q1	2415052	2415082	2414712	2414985	1900-02-26	False	False	False	False	False	False	False	False
56	2415078	AAAAAAAAGOJNECAA	1	9	1	1900	1	2	27	1	1900	1	9	Monday	1900Q1	2415052	2415082	2414713	2414986	1900-02-27	False	False	False	False	False	False	False	False
57	2415079	AAAAAAAAHOJNECAA	1	9	1	1900	2	2	28	1	1900	1	9	Tuesday	1900Q1	2415052	2415082	2414714	2414987	1900-02-28	False	False	False	False	False	False	False	False
58	2415080	AAAAAAAAIOJNECAA	2	9	2	1900	4	3	1	1	1900	2	9	Thursday	1900Q1	2415080	2415139	2414715	2414988	1900-03-01	False	False	False	False	False	False	False	False
59	2415081	AAAAAAAAJOJNECAA	2	9	2	1900	5	3	2	1	1900	2	9	Friday	1900Q1	2415080	2415139	2414716	2414989	1900-03-02	False	False	False	False	False	False	False	True
60	2415082	AAAAAAAAKOJNECAA	2	9	2	1900	6	3	3	1	1900	2	9	Saturday	1900Q1	2415080	2415139	2414717	2414990	1900-03-03	False	False	False	False	False	False	False	True
61	2415083	AAAAAAAALOJNECAA	2	9	2	1900	0	3	4	1	1900	2	9	Sunday	1900Q1	2415080	2415139	2414718	2414991	1900-03-04	False	False	False	False	False	False	False	False
62	2415084	AAAAAAAAMOJNECAA	2	9	2	1900	1	3	5	1	1900	2	9	Monday	1900Q1	2415080	2415139	2414719	2414992	1900-03-05	False	False	False	False	False	False	False	False
63	2415085	AAAAAAAANOJNECAA	2	10	2	1900	2	3	6	1	1900	2	10	Tuesday	1900Q1	2415080	2415139	2414720	2414993	1900-03-06	False	False	False	False	False	False	False	False
64	2415086	AAAAAAAAOOJNECAA	2	10	2	1900	3	3	7	1	1900	2	10	Wednesday	1900Q1	2415080	2415139	2414721	2414994	1900-03-07	False	False	False	False	False	False	False	False
65	2415087	AAAAAAAAPOJNECAA	2	10	2	1900	4	3	8	1	1900	2	10	Thursday	1900Q1	2415080	2415139	2414722	2414995	1900-03-08	False	False	False	False	False	False	False	False
66	2415088	AAAAAAAAAPJNECAA	2	10	2	1900	5	3	9	1	1900	2	10	Friday	1900Q1	2415080	2415139	2414723	2414996	1900-03-09	False	False	False	False	False	False	False	True
67	2415089	AAAAAAAABPJNECAA	2	10	2	1900	6	3	10	1	1900	2	10	Saturday	1900Q1	2415080	2415139	2414724	2414997	1900-03-10	False	False	False	False	False	False	False	True
68	2415090	AAAAAAAACPJNECAA	2	10	2	1900	0	3	11	1	1900	2	10	Sunday	1900Q1	2415080	2415139	2414725	2414998	1900-03-11	False	False	False	False	False	False	False	False
69	2415091	AAAAAAAADPJNECAA	2	10	2	1900	1	3	12	1	1900	2	10	Monday	1900Q1	2415080	2415139	2414726	2414999	1900-03-12	False	False	False	False	False	False	False	False
70	2415092	AAAAAAAAEPJNECAA	2	11	2	1900	2	3	13	1	1900	2	11	Tuesday	1900Q1	2415080	2415139	2414727	2415000	1900-03-13	False	False	False	False	False	False	False	False
71	2415093	AAAAAAAAFPJNECAA	2	11	2	1900	3	3	14	1	1900	2	11	Wednesday	1900Q1	2415080	2415139	2414728	2415001	1900-03-14	False	False	False	False	False	False	False	False
72	2415094	AAAAAAAAGPJNECAA	2	11	2	1900	4	3	15	1	1900	2	11	Thursday	1900Q1	2415080	2415139	2414729	2415002	1900-03-15	False	False	False	False	False	False	False	False
73	2415095	AAAAAAAAHPJNECAA	2	11	2	1900	5	3	16	1	1900	2	11	Friday	1900Q1	2415080	2415139	2414730	2415003	1900-03-16	False	False	False	False	False	False	False	True
74	2415096	AAAAAAAAIPJNECAA	2	11	2	1900	6	3	17	1	1900	2	11	Saturday	1900Q1	2415080	2415139	2414731	2415004	1900-03-17	False	False	False	False	False	False	False	True
75	2415097	AAAAAAAAJPJNECAA	2	11	2	1900	0	3	18	1	1900	2	11	Sunday	1900Q1	2415080	2415139	2414732	2415005	1900-03-18	False	False	False	False	False	False	False	False
76	2415098	AAAAAAAAKPJNECAA	2	11	2	1900	1	3	19	1	1900	2	11	Monday	1900Q1	2415080	2415139	2414733	2415006	1900-03-19	False	False	False	False	False	False	False	False
77	2415099	AAAAAAAALPJNECAA	2	12	2	1900	2	3	20	1	1900	2	12	Tuesday	1900Q1	2415080	2415139	2414734	2415007	1900-03-20	False	False	False	False	False	False	False	False
78	2415100	AAAAAAAAMPJNECAA	2	12	2	1900	3	3	21	1	1900	2	12	Wednesday	1900Q1	2415080	2415139	2414735	2415008	1900-03-21	False	False	False	False	False	False	False	False
79	2415101	AAAAAAAANPJNECAA	2	12	2	1900	4	3	22	1	1900	2	12	Thursday	1900Q1	2415080	2415139	2414736	2415009	1900-03-22	False	False	False	False	False	False	False	False
80	2415102	AAAAAAAAOPJNECAA	2	12	2	1900	5	3	23	1	1900	2	12	Friday	1900Q1	2415080	2415139	2414737	2415010	1900-03-23	False	False	False	False	False	False	False	True
81	2415103	AAAAAAAAPPJNECAA	2	12	2	1900	6	3	24	1	1900	2	12	Saturday	1900Q1	2415080	2415139	2414738	2415011	1900-03-24	False	False	False	False	False	False	False	True
82	2415104	AAAAAAAAAAKNECAA	2	12	2	1900	0	3	25	1	1900	2	12	Sunday	1900Q1	2415080	2415139	2414739	2415012	1900-03-25	False	False	False	False	False	False	False	False
83	2415105	AAAAAAAABAKNECAA	2	12	2	1900	1	3	26	1	1900	2	12	Monday	1900Q1	2415080	2415139	2414740	2415013	1900-03-26	False	False	False	False	False	False	False	False
84	2415106	AAAAAAAACAKNECAA	2	13	2	1900	2	3	27	1	1900	2	13	Tuesday	1900Q1	2415080	2415139	2414741	2415014	1900-03-27	False	False	False	False	False	False	False	False
85	2415107	AAAAAAAADAKNECAA	2	13	2	1900	3	3	28	1	1900	2	13	Wednesday	1900Q1	2415080	2415139	2414742	2415015	1900-03-28	False	False	False	False	False	False	False	False
86	2415108	AAAAAAAAEAKNECAA	2	13	2	1900	4	3	29	1	1900	2	13	Thursday	1900Q1	2415080	2415139	2414743	2415016	1900-03-29	False	False	False	False	False	False	False	False
87	2415109	AAAAAAAAFAKNECAA	2	13	2	1900	5	3	30	1	1900	2	13	Friday	1900Q1	2415080	2415139	2414744	2415017	1900-03-30	False	False	False	False	False	False	False	True
88	2415110	AAAAAAAAGAKNECAA	2	13	2	1900	6	3	31	1	1900	2	13	Saturday	1900Q1	2415080	2415139	2414745	2415018	1900-03-31	False	False	False	False	False	False	False	True
89	2415111	AAAAAAAAHAKNECAA	3	13	2	1900	0	4	1	2	1900	2	13	Sunday	1900Q2	2415111	2415201	2414746	2415021	1900-04-01	False	False	False	False	False	False	False	False
90	2415112	AAAAAAAAIAKNECAA	3	13	2	1900	1	4	2	2	1900	2	13	Monday	1900Q2	2415111	2415201	2414747	2415022	1900-04-02	False	False	False	False	False	False	False	False
91	2415113	AAAAAAAAJAKNECAA	3	14	2	1900	2	4	3	2	1900	2	14	Tuesday	1900Q2	2415111	2415201	2414748	2415023	1900-04-03	False	False	False	False	False	False	False	False
92	2415114	AAAAAAAAKAKNECAA	3	14	2	1900	3	4	4	2	1900	2	14	Wednesday	1900Q2	2415111	2415201	2414749	2415024	1900-04-04	False	False	False	False	False	False	False	False
93	2415115	AAAAAAAALAKNECAA	3	14	2	1900	4	4	5	2	1900	2	14	Thursday	1900Q2	2415111	2415201	2414750	2415025	1900-04-05	False	False	False	False	False	False	False	False
94	2415116	AAAAAAAAMAKNECAA	3	14	2	1900	5	4	6	2	1900	2	14	Friday	1900Q2	2415111	2415201	2414751	2415026	1900-04-06	False	False	False	False	False	False	False	True
95	2415117	AAAAAAAANAKNECAA	3	14	2	1900	6	4	7	2	1900	2	14	Saturday	1900Q2	2415111	2415201	2414752	2415027	1900-04-07	False	False	False	False	False	False	False	True
96	2415118	AAAAAAAAOAKNECAA	3	14	2	1900	0	4	8	2	1900	2	14	Sunday	1900Q2	2415111	2415201	2414753	2415028	1900-04-08	False	False	False	False	False	False	False	False
97	2415119	AAAAAAAAPAKNECAA	3	14	2	1900	1	4	9	2	1900	2	14	Monday	1900Q2	2415111	2415201	2414754	2415029	1900-04-09	False	False	False	False	False	False	False	False
98	2415120	AAAAAAAAABKNECAA	3	15	2	1900	2	4	10	2	1900	2	15	Tuesday	1900Q2	2415111	2415201	2414755	2415030	1900-04-10	False	False	False	False	False	False	False	False

stg_date_dim.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"date_dim_renamed" AS (
    -- Rename: Renaming columns
    -- D_DATE_SK -> date_sk
    -- D_DATE_ID -> date_id
    -- D_MONTH_SEQ -> month_seq
    -- D_WEEK_SEQ -> week_seq
    -- D_QUARTER_SEQ -> quarter_seq
    -- D_DOW -> day_of_week
    -- D_MOY -> month_of_year
    -- D_DOM -> day_of_month
    -- D_QOY -> quarter_of_year
    -- D_FY_YEAR -> fiscal_year
    -- D_FY_QUARTER_SEQ -> fiscal_quarter_seq
    -- D_FY_WEEK_SEQ -> fiscal_week_seq
    -- D_DAY_NAME -> day_name
    -- D_QUARTER_NAME -> quarter_name
    -- D_HOLIDAY -> is_holiday
    -- D_WEEKEND -> is_weekend
    -- D_FOLLOWING_HOLIDAY -> is_following_holiday
    -- D_FIRST_DOM -> first_day_of_month
    -- D_LAST_DOM -> last_day_of_month
    -- D_SAME_DAY_LY -> same_day_last_year
    -- D_SAME_DAY_LQ -> same_day_last_quarter
    -- D_CURRENT_DAY -> is_current_day
    -- D_CURRENT_WEEK -> is_current_week
    -- D_CURRENT_MONTH -> is_current_month
    -- D_CURRENT_QUARTER -> is_current_quarter
    -- D_CURRENT_YEAR -> is_current_year
    SELECT 
        "D_DATE_SK" AS "date_sk",
        "D_DATE_ID" AS "date_id",
        "D_DATE",
        "D_MONTH_SEQ" AS "month_seq",
        "D_WEEK_SEQ" AS "week_seq",
        "D_QUARTER_SEQ" AS "quarter_seq",
        "D_YEAR",
        "D_DOW" AS "day_of_week",
        "D_MOY" AS "month_of_year",
        "D_DOM" AS "day_of_month",
        "D_QOY" AS "quarter_of_year",
        "D_FY_YEAR" AS "fiscal_year",
        "D_FY_QUARTER_SEQ" AS "fiscal_quarter_seq",
        "D_FY_WEEK_SEQ" AS "fiscal_week_seq",
        "D_DAY_NAME" AS "day_name",
        "D_QUARTER_NAME" AS "quarter_name",
        "D_HOLIDAY" AS "is_holiday",
        "D_WEEKEND" AS "is_weekend",
        "D_FOLLOWING_HOLIDAY" AS "is_following_holiday",
        "D_FIRST_DOM" AS "first_day_of_month",
        "D_LAST_DOM" AS "last_day_of_month",
        "D_SAME_DAY_LY" AS "same_day_last_year",
        "D_SAME_DAY_LQ" AS "same_day_last_quarter",
        "D_CURRENT_DAY" AS "is_current_day",
        "D_CURRENT_WEEK" AS "is_current_week",
        "D_CURRENT_MONTH" AS "is_current_month",
        "D_CURRENT_QUARTER" AS "is_current_quarter",
        "D_CURRENT_YEAR" AS "is_current_year"
    FROM "date_dim"
),

"date_dim_renamed_casted" AS (
    -- Column Type Casting: 
    -- D_DATE: from VARCHAR to DATE
    -- is_current_day: from VARCHAR to BOOLEAN
    -- is_current_month: from VARCHAR to BOOLEAN
    -- is_current_quarter: from VARCHAR to BOOLEAN
    -- is_current_week: from VARCHAR to BOOLEAN
    -- is_current_year: from VARCHAR to BOOLEAN
    -- is_following_holiday: from VARCHAR to BOOLEAN
    -- is_holiday: from VARCHAR to BOOLEAN
    -- is_weekend: from VARCHAR to BOOLEAN
    SELECT
        "date_sk",
        "date_id",
        "month_seq",
        "week_seq",
        "quarter_seq",
        "D_YEAR",
        "day_of_week",
        "month_of_year",
        "day_of_month",
        "quarter_of_year",
        "fiscal_year",
        "fiscal_quarter_seq",
        "fiscal_week_seq",
        "day_name",
        "quarter_name",
        "first_day_of_month",
        "last_day_of_month",
        "same_day_last_year",
        "same_day_last_quarter",
        CAST("D_DATE" AS DATE) AS "D_DATE",
        CASE WHEN "is_current_day" = 'N' THEN FALSE ELSE TRUE END AS "is_current_day",
        CAST(CASE WHEN "is_current_month" = 'N' THEN FALSE ELSE TRUE END AS BOOLEAN) AS "is_current_month",
        CASE WHEN "is_current_quarter" = 'N' THEN FALSE ELSE TRUE END AS "is_current_quarter",
        CASE WHEN "is_current_week" = 'N' THEN FALSE ELSE TRUE END AS "is_current_week",
        CASE WHEN "is_current_year" = 'N' THEN FALSE ELSE TRUE END AS "is_current_year",
        CAST(CASE WHEN "is_following_holiday" = 'Y' THEN true WHEN "is_following_holiday" = 'N' THEN false END AS BOOLEAN) AS "is_following_holiday",
        CASE WHEN "is_holiday" = 'N' THEN FALSE ELSE TRUE END AS "is_holiday",
        CASE 
            WHEN "is_weekend" = 'Y' THEN TRUE
            WHEN "is_weekend" = 'N' THEN FALSE
            ELSE NULL
        END AS "is_weekend"
    FROM "date_dim_renamed"
)

-- COCOON BLOCK END
SELECT * FROM "date_dim_renamed_casted"

stg_date_dim.yml (Document the table)

version: 2
models:
- name: stg_date_dim
  description: The table is about date dimensions. It contains various attributes
    of dates, including date key, full date, year, month, day of week, quarter, fiscal
    year details, holiday indicators, and flags for current periods. This table is
    likely used as a dimension table in a data warehouse for time-based analysis and
    reporting.
  columns:
  - name: date_sk
    description: Surrogate key for the date
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column represents a surrogate key for the date. For this table,
        each row represents a unique date. The date_sk appears to be a unique identifier
        for each date, incrementing by 1 for each consecutive day.
  - name: date_id
    description: Unique identifier for the date
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is described as a unique identifier for the date. It
        appears to be an alphanumeric code that uniquely identifies each date in the
        table.
  - name: month_seq
    description: Month sequence number
    tests:
    - not_null
  - name: week_seq
    description: Week sequence number
    tests:
    - not_null
  - name: quarter_seq
    description: Quarter sequence number
    tests:
    - not_null
  - name: D_YEAR
    description: Year in YYYY format
    tests:
    - not_null
  - name: day_of_week
    description: Day of the week (1-7)
    tests:
    - not_null
  - name: month_of_year
    description: Month of the year (1-12)
    tests:
    - not_null
  - name: day_of_month
    description: Day of the month (1-31)
    tests:
    - not_null
  - name: quarter_of_year
    description: Quarter of the year (1-4)
    tests:
    - not_null
  - name: fiscal_year
    description: Fiscal year
    tests:
    - not_null
  - name: fiscal_quarter_seq
    description: Fiscal year quarter sequence
    tests:
    - not_null
  - name: fiscal_week_seq
    description: Fiscal year week sequence
    tests:
    - not_null
  - name: day_name
    description: Name of the day of the week
    tests:
    - not_null
    - accepted_values:
        values:
        - Monday
        - Tuesday
        - Friday
        - Saturday
        - Sunday
        - Thursday
        - Wednesday
  - name: quarter_name
    description: Name of the quarter (e.g., 1900Q1)
    tests:
    - not_null
  - name: first_day_of_month
    description: First day of the month
    tests:
    - not_null
  - name: last_day_of_month
    description: Last day of the month
    tests:
    - not_null
  - name: same_day_last_year
    description: Date of the same day in last year
    tests:
    - not_null
  - name: same_day_last_quarter
    description: Date of the same day in last quarter
    tests:
    - not_null
  - name: D_DATE
    description: Full date in YYYY-MM-DD format
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column represents the full date in YYYY-MM-DD format. For this
        table, where each row represents a unique date, the D_DATE column uniquely
        identifies each row.
  - name: is_current_day
    description: Flag indicating if it's the current day
    tests:
    - not_null
  - name: is_current_month
    description: Flag indicating if it's the current month
    tests:
    - not_null
  - name: is_current_quarter
    description: Flag indicating if it's the current quarter
    tests:
    - not_null
  - name: is_current_week
    description: Flag indicating if it's the current week
    tests:
    - not_null
  - name: is_current_year
    description: Flag indicating if it's the current year
    tests:
    - not_null
  - name: is_following_holiday
    description: Flag indicating if following day is a holiday
    tests:
    - not_null
  - name: is_holiday
    description: Flag indicating if it's a holiday
    tests:
    - not_null
  - name: is_weekend
    description: Flag indicating if it's a weekend
    tests:
    - not_null

stg_income_band (first 100 rows)

	income_band_id	lower_income_limit	upper_income_limit
0	1	0	10000
1	2	10001	20000
2	3	20001	30000
3	4	30001	40000
4	5	40001	50000
5	6	50001	60000
6	7	60001	70000
7	8	70001	80000
8	9	80001	90000
9	10	90001	100000
10	11	100001	110000
11	12	110001	120000
12	13	120001	130000
13	14	130001	140000
14	15	140001	150000
15	16	150001	160000
16	17	160001	170000
17	18	170001	180000
18	19	180001	190000
19	20	190001	200000

stg_income_band.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"income_band_renamed" AS (
    -- Rename: Renaming columns
    -- IB_INCOME_BAND_SK -> income_band_id
    -- IB_LOWER_BOUND -> lower_income_limit
    -- IB_UPPER_BOUND -> upper_income_limit
    SELECT 
        "IB_INCOME_BAND_SK" AS "income_band_id",
        "IB_LOWER_BOUND" AS "lower_income_limit",
        "IB_UPPER_BOUND" AS "upper_income_limit"
    FROM "income_band"
)

-- COCOON BLOCK END
SELECT * FROM "income_band_renamed"

stg_income_band.yml (Document the table)

version: 2
models:
- name: stg_income_band
  description: The table is about income bands. It defines different ranges of income.
    Each row represents a specific income band. The table includes a unique identifier
    for each band. It also shows the lower and upper bounds of income for each band.
    The bands are sequential and non-overlapping.
  columns:
  - name: income_band_id
    description: Unique identifier for each income band
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a unique identifier for each income band. For this
        table, each row represents a specific income band, and income_band_id is unique
        across rows.
  - name: lower_income_limit
    description: Minimum income value for the band
    tests:
    - not_null
  - name: upper_income_limit
    description: Maximum income value for the band
    tests:
    - not_null

stg_call_center (first 100 rows)

	call_center_name	suite_number	street_name	street_type	size_class	open_date_key	company_id	state	manager_name	square_footage	call_center_surrogate_key	operating_hours	division_name	county	market_manager_name	company_name	employee_count	city	country	market_id	division_id	tax_percentage	call_center_id	call_center_zip_code	closed_date_key	gmt_offset	record_end_date	record_start_date	street_number
0	NY Metro	Suite 0	Ash Hill	Boulevard	large	2450952	6	TN	Bob Belcher	1138	1	8AM-4PM	pri	Williamson County	Julius Tran	cally	2	Midway	United States	6	3	0.11	AAAAAAAABAAAAAAA	31904	None	-5.0	NaT	1998-01-01	730
1	Mid Atlantic	Suite 70	Center Hill	Way	medium	2450806	1	TN	Felipe Perkins	2268	2	24 hours	anti	Williamson County	Julius Durham	ought	6	Midway	United States	2	5	0.12	AAAAAAAACAAAAAAA	31904	None	-5.0	2000-12-31	1998-01-01	984

stg_call_center.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"call_center_renamed" AS (
    -- Rename: Renaming columns
    -- CC_CALL_CENTER_SK -> call_center_surrogate_key
    -- CC_CALL_CENTER_ID -> call_center_id
    -- CC_REC_START_DATE -> record_start_date
    -- CC_REC_END_DATE -> record_end_date
    -- CC_CLOSED_DATE_SK -> closed_date_key
    -- CC_OPEN_DATE_SK -> open_date_key
    -- CC_NAME -> call_center_name
    -- CC_CLASS -> size_class
    -- CC_EMPLOYEES -> employee_count
    -- CC_SQ_FT -> square_footage
    -- CC_HOURS -> operating_hours
    -- CC_MANAGER -> manager_name
    -- CC_MKT_ID -> market_id
    -- CC_MKT_CLASS -> market_class
    -- CC_MKT_DESC -> market_description
    -- CC_MARKET_MANAGER -> market_manager_name
    -- CC_DIVISION -> division_id
    -- CC_DIVISION_NAME -> division_name
    -- CC_COMPANY -> company_id
    -- CC_COMPANY_NAME -> company_name
    -- CC_STREET_NUMBER -> street_number
    -- CC_STREET_NAME -> street_name
    -- CC_STREET_TYPE -> street_type
    -- CC_SUITE_NUMBER -> suite_number
    -- CC_CITY -> city
    -- CC_COUNTY -> county
    -- CC_STATE -> state
    -- CC_ZIP -> call_center_zip_code
    -- CC_COUNTRY -> country
    -- CC_GMT_OFFSET -> gmt_offset
    -- CC_TAX_PERCENTAGE -> tax_percentage
    SELECT 
        "CC_CALL_CENTER_SK" AS "call_center_surrogate_key",
        "CC_CALL_CENTER_ID" AS "call_center_id",
        "CC_REC_START_DATE" AS "record_start_date",
        "CC_REC_END_DATE" AS "record_end_date",
        "CC_CLOSED_DATE_SK" AS "closed_date_key",
        "CC_OPEN_DATE_SK" AS "open_date_key",
        "CC_NAME" AS "call_center_name",
        "CC_CLASS" AS "size_class",
        "CC_EMPLOYEES" AS "employee_count",
        "CC_SQ_FT" AS "square_footage",
        "CC_HOURS" AS "operating_hours",
        "CC_MANAGER" AS "manager_name",
        "CC_MKT_ID" AS "market_id",
        "CC_MKT_CLASS" AS "market_class",
        "CC_MKT_DESC" AS "market_description",
        "CC_MARKET_MANAGER" AS "market_manager_name",
        "CC_DIVISION" AS "division_id",
        "CC_DIVISION_NAME" AS "division_name",
        "CC_COMPANY" AS "company_id",
        "CC_COMPANY_NAME" AS "company_name",
        "CC_STREET_NUMBER" AS "street_number",
        "CC_STREET_NAME" AS "street_name",
        "CC_STREET_TYPE" AS "street_type",
        "CC_SUITE_NUMBER" AS "suite_number",
        "CC_CITY" AS "city",
        "CC_COUNTY" AS "county",
        "CC_STATE" AS "state",
        "CC_ZIP" AS "call_center_zip_code",
        "CC_COUNTRY" AS "country",
        "CC_GMT_OFFSET" AS "gmt_offset",
        "CC_TAX_PERCENTAGE" AS "tax_percentage"
    FROM "call_center"
),

"call_center_renamed_cleaned" AS (
    -- Clean unusual string values: 
    -- operating_hours: The problem is that '8AM-8AM' is an unusual representation for 24-hour operation. It's inconsistent with the more common format seen in '8AM-4PM'. The correct values should represent the actual operating hours clearly. For 24-hour operation, it's more standard to use '24 hours' or '12AM-11:59PM'. 
    -- market_class: The problem is that both values in the market_class column are incomplete phrases that do not represent clear market classifications. They appear to be truncated or partial sentences without any meaningful market categorization. The correct values for a market_class column should be concise, clear categories describing the market segment or classification. Since the existing values are meaningless in this context, they should be mapped to an empty string. 
    -- market_description: The problem is that both values in the market_description column are incomplete sentences with abrupt endings and lack clear meaning. They appear to be truncated or corrupted text that does not provide any useful information about market description. The correct approach is to map these meaningless values to empty strings. 
    SELECT
        "call_center_surrogate_key",
        "call_center_id",
        "record_start_date",
        "record_end_date",
        "closed_date_key",
        "open_date_key",
        "call_center_name",
        "size_class",
        "employee_count",
        "square_footage",
        CASE
            WHEN "operating_hours" = '8AM-8AM' THEN '24 hours'
            ELSE "operating_hours"
        END AS "operating_hours",
        "manager_name",
        "market_id",
        CASE
            WHEN "market_class" = 'A bit narrow forms matter animals. Consist' THEN ''
            WHEN "market_class" = 'More than other authori' THEN ''
            ELSE "market_class"
        END AS "market_class",
        CASE
            WHEN "market_description" = 'Largely blank years put substantially deaf, new others. Question' THEN ''
            WHEN "market_description" = 'Shared others could not count fully dollars. New members ca' THEN ''
            ELSE "market_description"
        END AS "market_description",
        "market_manager_name",
        "division_id",
        "division_name",
        "company_id",
        "company_name",
        "street_number",
        "street_name",
        "street_type",
        "suite_number",
        "city",
        "county",
        "state",
        "call_center_zip_code",
        "country",
        "gmt_offset",
        "tax_percentage"
    FROM "call_center_renamed"
),

"call_center_renamed_cleaned_null" AS (
    -- NULL Imputation: Impute Null to Disguised Missing Values
    -- market_class: ['']
    -- market_description: ['']
    SELECT 
        CASE
            WHEN "market_class" = '' THEN NULL
            ELSE "market_class"
        END AS "market_class",
        CASE
            WHEN "market_description" = '' THEN NULL
            ELSE "market_description"
        END AS "market_description",
        "call_center_name",
        "gmt_offset",
        "suite_number",
        "street_name",
        "street_type",
        "size_class",
        "open_date_key",
        "company_id",
        "state",
        "manager_name",
        "square_footage",
        "call_center_surrogate_key",
        "operating_hours",
        "division_name",
        "county",
        "record_end_date",
        "market_manager_name",
        "company_name",
        "closed_date_key",
        "employee_count",
        "call_center_zip_code",
        "record_start_date",
        "city",
        "street_number",
        "country",
        "market_id",
        "division_id",
        "tax_percentage",
        "call_center_id"
    FROM "call_center_renamed_cleaned"
),

"call_center_renamed_cleaned_null_casted" AS (
    -- Column Type Casting: 
    -- call_center_zip_code: from INT to VARCHAR
    -- closed_date_key: from DECIMAL to VARCHAR
    -- gmt_offset: from INT to DECIMAL
    -- record_end_date: from VARCHAR to DATE
    -- record_start_date: from VARCHAR to DATE
    -- street_number: from INT to VARCHAR
    SELECT
        "market_class",
        "market_description",
        "call_center_name",
        "suite_number",
        "street_name",
        "street_type",
        "size_class",
        "open_date_key",
        "company_id",
        "state",
        "manager_name",
        "square_footage",
        "call_center_surrogate_key",
        "operating_hours",
        "division_name",
        "county",
        "market_manager_name",
        "company_name",
        "employee_count",
        "city",
        "country",
        "market_id",
        "division_id",
        "tax_percentage",
        "call_center_id",
        CAST("call_center_zip_code" AS VARCHAR) AS "call_center_zip_code",
        CAST("closed_date_key" AS VARCHAR) AS "closed_date_key",
        CAST("gmt_offset" AS DECIMAL) AS "gmt_offset",
        CAST("record_end_date" AS DATE) AS "record_end_date",
        CAST("record_start_date" AS DATE) AS "record_start_date",
        CAST("street_number" AS VARCHAR) AS "street_number"
    FROM "call_center_renamed_cleaned_null"
),

"call_center_renamed_cleaned_null_casted_missing_handled" AS (
    -- Handling missing values: There are 3 columns with unacceptable missing values
    -- market_class has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- market_description has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- record_end_date has 50.0 percent missing. Strategy: 🔄 Unchanged
    SELECT
        "call_center_name",
        "suite_number",
        "street_name",
        "street_type",
        "size_class",
        "open_date_key",
        "company_id",
        "state",
        "manager_name",
        "square_footage",
        "call_center_surrogate_key",
        "operating_hours",
        "division_name",
        "county",
        "market_manager_name",
        "company_name",
        "employee_count",
        "city",
        "country",
        "market_id",
        "division_id",
        "tax_percentage",
        "call_center_id",
        "call_center_zip_code",
        "closed_date_key",
        "gmt_offset",
        "record_end_date",
        "record_start_date",
        "street_number"
    FROM "call_center_renamed_cleaned_null_casted"
)

-- COCOON BLOCK END
SELECT * FROM "call_center_renamed_cleaned_null_casted_missing_handled"

stg_call_center.yml (Document the table)

version: 2
models:
- name: stg_call_center
  description: The table contains details about call centers. It includes information
    such as unique identifiers, dates, physical attributes, operational details, management,
    location, and financial aspects. Each row represents a distinct call center with
    various attributes like size, number of employees, operating hours, market details,
    address, and tax information.
  columns:
  - name: call_center_name
    description: Name of the call center
    tests:
    - not_null
    - unique
    - accepted_values:
        values:
        - Mid Atlantic
        - NY Metro
        - New England
        - Southeast
        - Midwest
        - Southwest
        - West Coast
        - Northwest
        - South Central
        - Mountain
        - Hawaii
        - Alaska
    cocoon_meta:
      uniqueness: This column represents the name of the call center. For this table,
        each row is for a distinct call center. The call_center_name is likely to
        be unique across rows as it's common for businesses to have unique names for
        different locations.
  - name: suite_number
    description: Suite number of the call center
    tests:
    - not_null
  - name: street_name
    description: Street name of the call center address
    tests:
    - not_null
  - name: street_type
    description: Street type of the call center address
    tests:
    - not_null
    - accepted_values:
        values:
        - Street
        - Avenue
        - Boulevard
        - Way
        - Road
        - Lane
        - Drive
        - Place
        - Court
        - Terrace
        - Circle
        - Alley
        - Square
        - Parkway
        - Highway
        - Crescent
  - name: size_class
    description: Size classification of the call center
    tests:
    - not_null
    - accepted_values:
        values:
        - small
        - medium
        - large
  - name: open_date_key
    description: Surrogate key for the opening date
    tests:
    - not_null
  - name: company_id
    description: Company identifier
    tests:
    - not_null
  - name: state
    description: State where the call center is located
    tests:
    - not_null
  - name: manager_name
    description: Name of the call center manager
    tests:
    - not_null
  - name: square_footage
    description: Square footage of the call center
    tests:
    - not_null
  - name: call_center_surrogate_key
    description: Surrogate key for the call center
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is explicitly described as a surrogate key for the call
        center. For this table, each row is for a distinct call center. Surrogate
        keys are typically designed to be unique identifiers, so this is likely to
        be unique across rows.
  - name: operating_hours
    description: Operating hours of the call center
    tests:
    - not_null
    - accepted_values:
        values:
        - 24 hours
        - 8AM-4PM
        - 9AM-5PM
        - 8AM-8PM
        - 7AM-7PM
        - 6AM-10PM
        - 8AM-6PM
        - 9AM-6PM
        - 10AM-6PM
        - 7AM-3PM
        - 3PM-11PM
        - 11PM-7AM
        - 9AM-9PM
        - 8:30AM-5:30PM
        - 7:30AM-4:30PM
  - name: division_name
    description: Name of the division
    tests:
    - not_null
  - name: county
    description: County where the call center is located
    tests:
    - not_null
  - name: market_manager_name
    description: Name of the market manager
    tests:
    - not_null
  - name: company_name
    description: Name of the company
    tests:
    - not_null
  - name: employee_count
    description: Number of employees in the call center
    tests:
    - not_null
  - name: city
    description: City where the call center is located
    tests:
    - not_null
  - name: country
    description: Country where the call center is located
    tests:
    - not_null
  - name: market_id
    description: Market identifier
    tests:
    - not_null
  - name: division_id
    description: Division identifier
    tests:
    - not_null
  - name: tax_percentage
    description: Tax percentage applicable to the call center
    tests:
    - not_null
  - name: call_center_id
    description: Unique identifier for the call center
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column represents a unique identifier for each call center.
        For this table, each row is for a distinct call center. As it's designed to
        be a unique identifier, it should be unique across all rows.
  - name: call_center_zip_code
    description: Zip code of the call center location
    tests:
    - not_null
  - name: closed_date_key
    description: Surrogate key for the closing date
    cocoon_meta:
      missing_acceptable: Not applicable for call centers still in operation.
  - name: gmt_offset
    description: GMT offset of the call center location
    tests:
    - not_null
  - name: record_end_date
    description: End date of the record
    tests:
    - not_null
  - name: record_start_date
    description: Start date of the record
    tests:
    - not_null
  - name: street_number
    description: Street number of the call center address
    tests:
    - not_null

stg_promotion (first 100 rows)

	channel_details	press_channel	purpose	promotion_sku	catalog_channel	response_target	email_channel	promotion_cost	demo_channel	direct_mail_channel	promotion_id	item_sku	radio_channel	event_channel	discount_active	end_date	start_date
0	None	N	Unknown	1	N	1	N	1000.0	N	Y	AAAAAAAABAAAAAAA	686	N	N	N	1996-04-12	2450164.0
1	None	N	Unknown	2	N	1	N	1000.0	N	Y	AAAAAAAACAAAAAAA	1264	N	N	N	1996-03-08	2450118.0
2	None	N	Unknown	3	N	1	N	1000.0	N	Y	AAAAAAAADAAAAAAA	1468	N	N	N	1997-09-21	2450675.0

stg_promotion.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"promotion_renamed" AS (
    -- Rename: Renaming columns
    -- P_PROMO_SK -> promotion_sku
    -- P_PROMO_ID -> promotion_id
    -- P_START_DATE_SK -> start_date
    -- P_END_DATE_SK -> end_date
    -- P_ITEM_SK -> item_sku
    -- P_COST -> promotion_cost
    -- P_RESPONSE_TARGE -> response_target
    -- P_PROMO_NAME -> promotion_name
    -- P_CHANNEL_DMAIL -> direct_mail_channel
    -- P_CHANNEL_EMAIL -> email_channel
    -- P_CHANNEL_CATALOG -> catalog_channel
    -- P_CHANNEL_TV -> tv_channel
    -- P_CHANNEL_RADIO -> radio_channel
    -- P_CHANNEL_PRESS -> press_channel
    -- P_CHANNEL_EVENT -> event_channel
    -- P_CHANNEL_DEMO -> demo_channel
    -- P_CHANNEL_DETAILS -> channel_details
    -- P_PURPOSE -> purpose
    -- P_DISCOUNT_ACTIVE -> discount_active
    SELECT 
        "P_PROMO_SK" AS "promotion_sku",
        "P_PROMO_ID" AS "promotion_id",
        "P_START_DATE_SK" AS "start_date",
        "P_END_DATE_SK" AS "end_date",
        "P_ITEM_SK" AS "item_sku",
        "P_COST" AS "promotion_cost",
        "P_RESPONSE_TARGE" AS "response_target",
        "P_PROMO_NAME" AS "promotion_name",
        "P_CHANNEL_DMAIL" AS "direct_mail_channel",
        "P_CHANNEL_EMAIL" AS "email_channel",
        "P_CHANNEL_CATALOG" AS "catalog_channel",
        "P_CHANNEL_TV" AS "tv_channel",
        "P_CHANNEL_RADIO" AS "radio_channel",
        "P_CHANNEL_PRESS" AS "press_channel",
        "P_CHANNEL_EVENT" AS "event_channel",
        "P_CHANNEL_DEMO" AS "demo_channel",
        "P_CHANNEL_DETAILS" AS "channel_details",
        "P_PURPOSE" AS "purpose",
        "P_DISCOUNT_ACTIVE" AS "discount_active"
    FROM "promotion"
),

"promotion_renamed_trimmed" AS (
    -- Trim Leading and Trailing Spaces
    SELECT
        "promotion_sku",
        "promotion_id",
        "start_date",
        "end_date",
        "item_sku",
        "promotion_cost",
        "response_target",
        "promotion_name",
        "direct_mail_channel",
        "email_channel",
        "catalog_channel",
        "tv_channel",
        "radio_channel",
        "press_channel",
        "event_channel",
        "demo_channel",
        "purpose",
        "discount_active",
        TRIM("channel_details") AS "channel_details"
    FROM "promotion_renamed"
),

"promotion_renamed_trimmed_cleaned" AS (
    -- Clean unusual string values: 
    -- promotion_name: The problem is that all three values in the promotion_name column are unusual and incomplete. They appear to be fragments of words rather than full promotion names. 'able' could be part of 'available' or 'affordable', 'ought' might be part of 'bought', and 'pri' could be the beginning of 'price' or 'prime'. Without more context or information about the intended promotion names, it's impossible to determine the correct full names. Therefore, the best approach is to map these incomplete values to an empty string, indicating that the promotion name is unknown or not specified. 
    -- tv_channel: The problem is that 'N' is the only value in the tv_channel column, and it's unclear what it represents. A single letter 'N' is not a typical TV channel designation. It could be an abbreviation for "None" or "Not Applicable", indicating that the content is not associated with a specific TV channel. Without more context or information about other possible values in this column, it's difficult to determine the exact meaning. However, since it's the only value present, we can assume it's intentional but perhaps not ideally formatted. 
    -- channel_details: The problem is that all values in the channel_details column are incomplete phrases that don't convey clear, distinct categories. These phrases appear to be truncated or nonsensical snippets of text, which don't provide any meaningful information about channel details. The correct values cannot be inferred from the given data, as there's no clear pattern or context to derive proper categories. In this case, it's best to map all these unusual values to an empty string, indicating that the data is invalid or missing. 
    SELECT
        "promotion_sku",
        "promotion_id",
        "start_date",
        "end_date",
        "item_sku",
        "promotion_cost",
        "response_target",
        CASE
            WHEN "promotion_name" = 'able' THEN ''
            WHEN "promotion_name" = 'ought' THEN ''
            WHEN "promotion_name" = 'pri' THEN ''
            ELSE "promotion_name"
        END AS "promotion_name",
        "direct_mail_channel",
        "email_channel",
        "catalog_channel",
        CASE
            WHEN "tv_channel" = 'N' THEN 'None'
            ELSE "tv_channel"
        END AS "tv_channel",
        "radio_channel",
        "press_channel",
        "event_channel",
        "demo_channel",
        "purpose",
        "discount_active",
        CASE
            WHEN "channel_details" = 'Companies shall not pr' THEN ''
            WHEN "channel_details" = 'Men will not say merely. Old, available' THEN ''
            WHEN "channel_details" = 'So willing buildings coul' THEN ''
            ELSE "channel_details"
        END AS "channel_details"
    FROM "promotion_renamed_trimmed"
),

"promotion_renamed_trimmed_cleaned_null" AS (
    -- NULL Imputation: Impute Null to Disguised Missing Values
    -- promotion_name: ['']
    -- tv_channel: ['None']
    -- channel_details: ['']
    SELECT 
        CASE
            WHEN "promotion_name" = '' THEN NULL
            ELSE "promotion_name"
        END AS "promotion_name",
        CASE
            WHEN "tv_channel" = 'None' THEN NULL
            ELSE "tv_channel"
        END AS "tv_channel",
        CASE
            WHEN "channel_details" = '' THEN NULL
            ELSE "channel_details"
        END AS "channel_details",
        "press_channel",
        "purpose",
        "promotion_sku",
        "catalog_channel",
        "response_target",
        "email_channel",
        "end_date",
        "promotion_cost",
        "demo_channel",
        "direct_mail_channel",
        "promotion_id",
        "item_sku",
        "start_date",
        "radio_channel",
        "event_channel",
        "discount_active"
    FROM "promotion_renamed_trimmed_cleaned"
),

"promotion_renamed_trimmed_cleaned_null_casted" AS (
    -- Column Type Casting: 
    -- end_date: from INT to DATE
    -- start_date: from INT to DATE
    SELECT
        "promotion_name",
        "tv_channel",
        "channel_details",
        "press_channel",
        "purpose",
        "promotion_sku",
        "catalog_channel",
        "response_target",
        "email_channel",
        "promotion_cost",
        "demo_channel",
        "direct_mail_channel",
        "promotion_id",
        "item_sku",
        "radio_channel",
        "event_channel",
        "discount_active",
        DATE '1858-11-17' + (CAST("end_date" AS INTEGER) - 2400000) AS "end_date",
        julian(DATE '1858-11-17' + (CAST("start_date" - 2400001 AS INTEGER) * INTERVAL '1 day')) AS "start_date"
    FROM "promotion_renamed_trimmed_cleaned_null"
),

"promotion_renamed_trimmed_cleaned_null_casted_missing_handled" AS (
    -- Handling missing values: There are 2 columns with unacceptable missing values
    -- promotion_name has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- tv_channel has 100.0 percent missing. Strategy: 🗑️ Drop Column
    SELECT
        "channel_details",
        "press_channel",
        "purpose",
        "promotion_sku",
        "catalog_channel",
        "response_target",
        "email_channel",
        "promotion_cost",
        "demo_channel",
        "direct_mail_channel",
        "promotion_id",
        "item_sku",
        "radio_channel",
        "event_channel",
        "discount_active",
        "end_date",
        "start_date"
    FROM "promotion_renamed_trimmed_cleaned_null_casted"
)

-- COCOON BLOCK END
SELECT * FROM "promotion_renamed_trimmed_cleaned_null_casted_missing_handled"

stg_promotion.yml (Document the table)

version: 2
models:
- name: stg_promotion
  description: The table is about promotions. It includes details such as promotion
    ID, start and end dates, target item, cost, response target, promotion name, and
    various promotion channels (e.g., mail, email, TV). The table also specifies the
    promotion's purpose and whether a discount is active.
  columns:
  - name: channel_details
    description: Additional details about the promotion channel
    cocoon_meta:
      missing_acceptable: Not applicable when no specific channel is active.
  - name: press_channel
    description: Indicates if promotion is through press releases
    tests:
    - not_null
    - accepted_values:
        values:
        - Y
        - N
  - name: purpose
    description: Purpose of the promotion
    tests:
    - not_null
  - name: promotion_sku
    description: Stock keeping unit for the promotion
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column represents the stock keeping unit for the promotion.
        For this table, each row represents a unique promotion. The promotion_sku
        is likely to be unique across rows as it's designed to identify specific promotions.
  - name: catalog_channel
    description: Indicates if promotion is through catalog channel
    tests:
    - not_null
    - accepted_values:
        values:
        - Y
        - N
  - name: response_target
    description: Target response rate for the promotion
    tests:
    - not_null
  - name: email_channel
    description: Indicates if promotion is through email
    tests:
    - not_null
    - accepted_values:
        values:
        - Y
        - N
  - name: promotion_cost
    description: Cost of the promotion
    tests:
    - not_null
  - name: demo_channel
    description: Indicates if promotion includes product demonstrations
    tests:
    - not_null
    - accepted_values:
        values:
        - Y
        - N
  - name: direct_mail_channel
    description: Indicates if promotion is through direct mail
    tests:
    - not_null
    - accepted_values:
        values:
        - Y
        - N
  - name: promotion_id
    description: Unique identifier for the promotion
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is explicitly described as a unique identifier for the
        promotion. For this table, where each row represents a unique promotion, the
        promotion_id should be unique across all rows.
  - name: item_sku
    description: Item stock keeping unit for the promotion
    tests:
    - not_null
  - name: radio_channel
    description: Indicates if promotion is through radio
    tests:
    - not_null
    - accepted_values:
        values:
        - Y
        - N
  - name: event_channel
    description: Indicates if promotion is through events
    tests:
    - not_null
    - accepted_values:
        values:
        - N
        - Y
  - name: discount_active
    description: Indicates if a discount is active
    tests:
    - not_null
    - accepted_values:
        values:
        - Y
        - N
  - name: end_date
    description: End date of the promotion
    tests:
    - not_null
  - name: start_date
    description: Start date of the promotion
    tests:
    - not_null

stg_catalog_page (first 100 rows)

	page_surrogate_key	page_id	start_date_key	end_date_key	department	catalog_id	page_number	catalog_type	page_description
0	1	AAAAAAAABAAAAAAA	2450815	2450996.0	DEPARTMENT	1	1.0	bi-annual	In general basic characters welcome. Clearly lively friends conv
1	2	AAAAAAAACAAAAAAA	2450815	2450996.0	DEPARTMENT	1	2.0	bi-annual	English areas will leave prisoners. Too public countries ought to become beneath the years.
2	3	AAAAAAAADAAAAAAA	2450815	2450996.0	DEPARTMENT	1	3.0	bi-annual	Times could not address disabled indians. Effectively public ports c
3	4	AAAAAAAAEAAAAAAA	2450815	NaN	None	1	NaN	bi-annual	None
4	5	AAAAAAAAFAAAAAAA	2450815	2450996.0	DEPARTMENT	1	5.0	bi-annual	Classic buildings ensure in a tests. Real years may not receive open systems. Now broad m
5	6	AAAAAAAAGAAAAAAA	2450815	2450996.0	DEPARTMENT	1	6.0	bi-annual	Exciting principles wish greatly only excellent women. Appropriate fortunes shall not
6	7	AAAAAAAAHAAAAAAA	2450815	2450996.0	DEPARTMENT	1	7.0	bi-annual	National services must not come at least into a girls
7	8	AAAAAAAAIAAAAAAA	2450815	2450996.0	DEPARTMENT	1	8.0	bi-annual	Areas see early for a pounds. New goods study too serious women. Unwittingly sorry incentives shall
8	9	AAAAAAAAJAAAAAAA	2450815	2450996.0	DEPARTMENT	1	9.0	bi-annual	Intensive, economic changes resist bloody of course simple economies;
9	10	AAAAAAAAKAAAAAAA	2450815	2450996.0	DEPARTMENT	1	10.0	bi-annual	Careful, intense funds balance perhaps boys. Romantic chips remove legs. Direct birds get
10	11	AAAAAAAALAAAAAAA	2450815	2450996.0	DEPARTMENT	1	11.0	bi-annual	At least national countries live by an sales. Weap
11	12	AAAAAAAAMAAAAAAA	2450815	2450996.0	DEPARTMENT	1	12.0	bi-annual	Girls indicate so in a countries. Natural, emotional weeks try a
12	13	AAAAAAAANAAAAAAA	2450815	2450996.0	DEPARTMENT	1	13.0	bi-annual	Miles see mainly clear hands. Villages finish there blue figures. Moreover wide students travel poo
13	14	AAAAAAAAOAAAAAAA	2450815	2450996.0	DEPARTMENT	1	14.0	bi-annual	Rooms would say ago economic sections. Essential properties might not support groups. Ago rare eye
14	15	AAAAAAAAPAAAAAAA	2450815	2450996.0	DEPARTMENT	1	15.0	bi-annual	Legal, required ends may not improve in the pictures. Really social structur
15	16	AAAAAAAAABAAAAAA	2450815	2450996.0	DEPARTMENT	1	16.0	bi-annual	Schools must know now empty legs; generally daily children use sharp, loca
16	17	AAAAAAAABBAAAAAA	2450815	2450996.0	DEPARTMENT	1	17.0	bi-annual	More than true carers can ensure at a officers. Candidates s
17	18	AAAAAAAACBAAAAAA	2450815	2450996.0	DEPARTMENT	1	18.0	bi-annual	Shops end problems. Urban experiences play new stores. Institutions order as residential places.
18	19	AAAAAAAADBAAAAAA	2450815	2450996.0	DEPARTMENT	1	19.0	bi-annual	Poor, hostile guidelines could hope alone early things. Secret,
19	20	AAAAAAAAEBAAAAAA	2450815	2450996.0	DEPARTMENT	1	20.0	bi-annual	Appropriate years kill. Probably male units come perhaps between the minutes.
20	21	AAAAAAAAFBAAAAAA	2450815	2450996.0	DEPARTMENT	1	21.0	bi-annual	Gentle fields understand forward high parental faciliti
21	22	AAAAAAAAGBAAAAAA	2450815	2450996.0	DEPARTMENT	1	22.0	bi-annual	Square, good women can refuse. Women allow over courses. Entire, dail
22	23	AAAAAAAAHBAAAAAA	2450815	2450996.0	DEPARTMENT	1	23.0	bi-annual	Level, ordinary names would change institutional principles. Fe
23	24	AAAAAAAAIBAAAAAA	2450815	2450996.0	DEPARTMENT	1	24.0	bi-annual	For once public conditions could help even single, free vehicles. Soldi
24	25	AAAAAAAAJBAAAAAA	2450815	2450996.0	DEPARTMENT	1	25.0	bi-annual	Dimensions ensure by a enquiries. Special times may practise much full, bad books; l
25	26	AAAAAAAAKBAAAAAA	2450815	2450996.0	DEPARTMENT	1	26.0	bi-annual	Nervously reasonable sanctions would not supply often structures. National dangers relieve never
26	27	AAAAAAAALBAAAAAA	2450815	2450996.0	DEPARTMENT	1	27.0	bi-annual	Ready restaurants can represent previously perfectly educational thanks; adjacent quantities t
27	28	AAAAAAAAMBAAAAAA	2450815	2450996.0	DEPARTMENT	1	28.0	bi-annual	Also new funds must not find in addition essential poor friends; now
28	29	AAAAAAAANBAAAAAA	2450815	2450996.0	DEPARTMENT	1	29.0	bi-annual	Small circumstances enter almost potentially spare individuals. Residential women launch
29	30	AAAAAAAAOBAAAAAA	2450815	2450996.0	DEPARTMENT	1	30.0	bi-annual	Western, legislative courses cause truly else strange costs. Only grey windows come without a depo
30	31	AAAAAAAAPBAAAAAA	2450815	2450996.0	DEPARTMENT	1	31.0	bi-annual	Differences would complete previously at a notes. Important
31	32	AAAAAAAAACAAAAAA	2450815	2450996.0	DEPARTMENT	1	32.0	bi-annual	Quickly industrial trousers remember poor, practica
32	33	AAAAAAAABCAAAAAA	2450815	2450996.0	DEPARTMENT	1	33.0	bi-annual	Here divine knees could not recall then before a meals. Resources use commercial,
33	34	AAAAAAAACCAAAAAA	2450815	2450996.0	DEPARTMENT	1	34.0	bi-annual	Old, essential demonstrations watch absolutely; never woo
34	35	AAAAAAAADCAAAAAA	2450815	2450996.0	DEPARTMENT	1	35.0	bi-annual	Simple blocks feel now whole police. Available meanings must shine clearly real, good departmen
35	36	AAAAAAAAECAAAAAA	2450815	2450996.0	DEPARTMENT	1	36.0	bi-annual	Dead rats contain central, interesting years. Classes go.
36	37	AAAAAAAAFCAAAAAA	2450815	2450996.0	DEPARTMENT	1	37.0	bi-annual	Approaches demonstrate requirements. Public views can need hard. Almost alone
37	38	AAAAAAAAGCAAAAAA	2450815	2450996.0	DEPARTMENT	1	38.0	bi-annual	Ready perceptions close only with a conservatives.
38	39	AAAAAAAAHCAAAAAA	2450815	2450996.0	DEPARTMENT	1	39.0	bi-annual	Vastly favorite systems may not imply manufacturing, new facilities. Eventually wo
39	40	AAAAAAAAICAAAAAA	2450815	2450996.0	DEPARTMENT	1	40.0	bi-annual	Social, full questions learn already cautiously unemployed solicitors. Alone, close s
40	41	AAAAAAAAJCAAAAAA	2450815	2450996.0	DEPARTMENT	1	41.0	bi-annual	True friends may not pay once at first good issues. Girls ought to grow t
41	42	AAAAAAAAKCAAAAAA	2450815	2450996.0	DEPARTMENT	1	42.0	bi-annual	Fine animals may expect solidly. Highest extra vessels take here simila
42	43	AAAAAAAALCAAAAAA	2450815	2450996.0	DEPARTMENT	1	43.0	bi-annual	Relatively darling limits must not forgive. Rural, dry folk h
43	44	AAAAAAAAMCAAAAAA	2450815	2450996.0	DEPARTMENT	1	44.0	bi-annual	More likely movements shall identify badly other sensitive ideas. Fully other views could not
44	45	AAAAAAAANCAAAAAA	2450815	2450996.0	DEPARTMENT	1	45.0	bi-annual	Full heads imply unfortunately good policies. However different periods will not avoid highly in
45	46	AAAAAAAAOCAAAAAA	2450815	2450996.0	DEPARTMENT	1	46.0	bi-annual	Old beings used to raise. Curtains cannot enable just sites. Cells can say western talks;
46	47	AAAAAAAAPCAAAAAA	2450815	2450996.0	DEPARTMENT	1	47.0	bi-annual	Dangerous, desirable relations might forget always free activities. Values ough
47	48	AAAAAAAAADAAAAAA	2450815	2450996.0	DEPARTMENT	1	48.0	bi-annual	Moving, parliamentary women seal only glad, little damages. Electoral ways
48	49	AAAAAAAABDAAAAAA	2450815	2450996.0	DEPARTMENT	1	49.0	bi-annual	Old, extensive months cannot write political numbers. Minor lips know as usual f
49	50	AAAAAAAACDAAAAAA	2450815	2450996.0	DEPARTMENT	1	50.0	bi-annual	Now metropolitan prices survive institutions. Internal cheeks
50	51	AAAAAAAADDAAAAAA	2450815	2450996.0	DEPARTMENT	1	51.0	bi-annual	Superior, pink men should plant also recent, very fears. Purposes see other men. Tough, particular
51	52	AAAAAAAAEDAAAAAA	2450815	2450996.0	DEPARTMENT	1	52.0	bi-annual	Urban, large girls could go. Actions might guard about key ot
52	53	AAAAAAAAFDAAAAAA	2450815	2450996.0	DEPARTMENT	1	53.0	bi-annual	Relevant, major backs fly just private findings. New workers must not keep l
53	54	AAAAAAAAGDAAAAAA	2450815	2450996.0	DEPARTMENT	1	54.0	bi-annual	Rights should reassure as to a borders; difficult, efficient servants might no
54	55	AAAAAAAAHDAAAAAA	2450815	2450996.0	DEPARTMENT	1	55.0	bi-annual	Male requirements can make. Catholic results load maybe common ba
55	56	AAAAAAAAIDAAAAAA	2450815	2450996.0	DEPARTMENT	1	56.0	bi-annual	Men talk even like a days. Still large feelings see new, quick hotels. Far black relations should
56	57	AAAAAAAAJDAAAAAA	2450815	2450996.0	DEPARTMENT	1	57.0	bi-annual	Expressly local horses shall undertake perhaps able, co
57	58	AAAAAAAAKDAAAAAA	2450815	2450996.0	DEPARTMENT	1	58.0	bi-annual	Tasks work fun trees. Old employees make colonial, good signs. Famous emo
58	59	AAAAAAAALDAAAAAA	2450815	2450996.0	DEPARTMENT	1	59.0	bi-annual	Free, like figures will not leave once similar, eas
59	60	AAAAAAAAMDAAAAAA	2450815	2450996.0	DEPARTMENT	1	60.0	bi-annual	Teachers would choose always average investments. Unable, illegal sorts see. Shadows sha
60	61	AAAAAAAANDAAAAAA	2450815	2450996.0	DEPARTMENT	1	61.0	bi-annual	Glad developments improve still unable, invisible communications. High processes ru
61	62	AAAAAAAAODAAAAAA	2450815	2450996.0	DEPARTMENT	1	62.0	bi-annual	Indeed poor enemies change so to a hours. Either public circumstan
62	63	AAAAAAAAPDAAAAAA	2450815	2450996.0	DEPARTMENT	1	63.0	bi-annual	Possible, general practitioners must mate in a companies. Small developments per
63	64	AAAAAAAAAEAAAAAA	2450815	2450996.0	DEPARTMENT	1	64.0	bi-annual	New, other men would hear secret costs. Major lines might think. Modern hands shall
64	65	AAAAAAAABEAAAAAA	2450815	2450996.0	DEPARTMENT	1	65.0	bi-annual	Otherwise vast titles could comprehend just, strong forms. Historic, european owners enha
65	66	AAAAAAAACEAAAAAA	2450815	2450996.0	DEPARTMENT	1	66.0	bi-annual	Simple types stir oddly. More head depths could tak
66	67	AAAAAAAADEAAAAAA	2450815	2450996.0	DEPARTMENT	1	67.0	bi-annual	Other developments shall not race in order objective wings. Nearby departments
67	68	AAAAAAAAEEAAAAAA	2450815	2450996.0	DEPARTMENT	1	68.0	bi-annual	More big police cannot give important, difficult clients. Black, early vessels use
68	69	AAAAAAAAFEAAAAAA	2450815	2450996.0	DEPARTMENT	1	69.0	bi-annual	More basic colleagues should shift; muscles make however legal authorities.
69	70	AAAAAAAAGEAAAAAA	2450815	2450996.0	DEPARTMENT	1	70.0	bi-annual	Visual, major matters witness together so-called days. Obviously sharp men spend meanwhile els
70	71	AAAAAAAAHEAAAAAA	2450815	2450996.0	DEPARTMENT	1	71.0	bi-annual	Numbers may create now concerned families. Machines must
71	72	AAAAAAAAIEAAAAAA	2450815	2450996.0	DEPARTMENT	1	72.0	bi-annual	Sometimes lexical police shall affect women. Personal banks could not cost e
72	73	AAAAAAAAJEAAAAAA	2450815	2450996.0	DEPARTMENT	1	73.0	bi-annual	Journalists develop civil, open methods. Very normal vehicles used t
73	74	AAAAAAAAKEAAAAAA	2450815	2450996.0	DEPARTMENT	1	74.0	bi-annual	Cheap problems obtain national, new organisations. Certain, suitable words
74	75	AAAAAAAALEAAAAAA	2450815	2450996.0	DEPARTMENT	1	75.0	bi-annual	Specifically russian plans must use neither grand shares. Harsh, french results increase
75	76	AAAAAAAAMEAAAAAA	2450815	2450996.0	DEPARTMENT	1	76.0	bi-annual	Entirely normal thousands cannot rely just important ti
76	77	AAAAAAAANEAAAAAA	2450815	2450996.0	DEPARTMENT	1	77.0	bi-annual	American years swallow only, nice thanks. Obvious materials might not discuss just.
77	78	AAAAAAAAOEAAAAAA	2450815	2450996.0	DEPARTMENT	1	78.0	bi-annual	Intelligent buildings might not keep here new cases. Sole
78	79	AAAAAAAAPEAAAAAA	2450815	2450996.0	DEPARTMENT	1	79.0	bi-annual	Complaints release views. Really internal interpretations used to make funny, important
79	80	AAAAAAAAAFAAAAAA	2450815	2450996.0	DEPARTMENT	1	80.0	bi-annual	Words know difficult, lucky areas. Over red parts need extr
80	81	AAAAAAAABFAAAAAA	2450815	2450996.0	DEPARTMENT	1	81.0	bi-annual	Vital findings come more about convincing firms. Hor
81	82	AAAAAAAACFAAAAAA	2450815	2450996.0	DEPARTMENT	1	82.0	bi-annual	Colonial interests reach also. Results will not pursue seconds. Labour other
82	83	AAAAAAAADFAAAAAA	2450815	2450996.0	DEPARTMENT	1	83.0	bi-annual	In order compatible schools float particular families. Briefly strong words used
83	84	AAAAAAAAEFAAAAAA	2450815	2450996.0	DEPARTMENT	1	84.0	bi-annual	Industrial cars exist workers. Dependent pages should consider straig
84	85	AAAAAAAAFFAAAAAA	2450815	2450996.0	DEPARTMENT	1	85.0	bi-annual	Minutes ought to keep marginal states. New, financial nurses become later. Legally engl
85	86	AAAAAAAAGFAAAAAA	2450815	2450996.0	DEPARTMENT	1	86.0	bi-annual	Talks draw totally manufacturers. Lines evolve very; conditions see mi
86	87	AAAAAAAAHFAAAAAA	2450815	2450996.0	DEPARTMENT	1	87.0	bi-annual	Away dramatic letters say slightly for a advisers. Severe, difficult points entail h
87	88	AAAAAAAAIFAAAAAA	2450815	2450996.0	DEPARTMENT	1	88.0	bi-annual	Particular projects involve always final lakes. Subjects must move
88	89	AAAAAAAAJFAAAAAA	2450815	2450996.0	DEPARTMENT	1	89.0	bi-annual	More responsible bands pursue then including a tasks; extremely traditional numbe
89	90	AAAAAAAAKFAAAAAA	2450815	2450996.0	DEPARTMENT	1	90.0	bi-annual	Enough real studies should not appear weekends. Rich,
90	91	AAAAAAAALFAAAAAA	2450815	2450996.0	DEPARTMENT	1	91.0	bi-annual	Safe prices grow there enough private boys. Priorities come eventually forces. Regi
91	92	AAAAAAAAMFAAAAAA	2450815	2450996.0	DEPARTMENT	1	92.0	bi-annual	Years can know. Available, dead degrees may begin ever. Docto
92	93	AAAAAAAANFAAAAAA	2450815	2450996.0	DEPARTMENT	1	93.0	bi-annual	Perfectly mild differences must visit deaf years. Attractive, interesting women might not tie to t
93	94	AAAAAAAAOFAAAAAA	2450815	2450996.0	DEPARTMENT	1	94.0	bi-annual	Equal, other calls maintain simply. Newspapers cannot touch f
94	95	AAAAAAAAPFAAAAAA	2450815	2450996.0	DEPARTMENT	1	95.0	bi-annual	Bonds include completely critical principles. Charges walk just forms. Subsequent, ti
95	96	AAAAAAAAAGAAAAAA	2450815	2450996.0	DEPARTMENT	1	96.0	bi-annual	Then other details will stop nuclear officers. Capital expenses carve far options. Stru
96	97	AAAAAAAABGAAAAAA	2450815	2450996.0	DEPARTMENT	1	97.0	bi-annual	Trees help far also ideal debts. Old, outstanding forces
97	98	AAAAAAAACGAAAAAA	2450815	2450996.0	DEPARTMENT	1	98.0	bi-annual	Still fine services would surrender urban results; mean, serious considerations may say
98	99	AAAAAAAADGAAAAAA	2450815	2450996.0	DEPARTMENT	1	99.0	bi-annual	Useful, white courts leave almost high fingers. Popular, basic words plan

stg_catalog_page.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"catalog_page_renamed" AS (
    -- Rename: Renaming columns
    -- CP_CATALOG_PAGE_SK -> page_surrogate_key
    -- CP_CATALOG_PAGE_ID -> page_id
    -- CP_START_DATE_SK -> start_date_key
    -- CP_END_DATE_SK -> end_date_key
    -- CP_DEPARTMENT -> department
    -- CP_CATALOG_NUMBER -> catalog_id
    -- CP_CATALOG_PAGE_NUMBER -> page_number
    -- CP_DESCRIPTION -> page_description
    -- CP_TYPE -> catalog_type
    SELECT 
        "CP_CATALOG_PAGE_SK" AS "page_surrogate_key",
        "CP_CATALOG_PAGE_ID" AS "page_id",
        "CP_START_DATE_SK" AS "start_date_key",
        "CP_END_DATE_SK" AS "end_date_key",
        "CP_DEPARTMENT" AS "department",
        "CP_CATALOG_NUMBER" AS "catalog_id",
        "CP_CATALOG_PAGE_NUMBER" AS "page_number",
        "CP_DESCRIPTION" AS "page_description",
        "CP_TYPE" AS "catalog_type"
    FROM "catalog_page"
),

"catalog_page_renamed_trimmed" AS (
    -- Trim Leading and Trailing Spaces
    SELECT
        "page_surrogate_key",
        "page_id",
        "start_date_key",
        "end_date_key",
        "department",
        "catalog_id",
        "page_number",
        "catalog_type",
        TRIM("page_description") AS "page_description"
    FROM "catalog_page_renamed"
)

-- COCOON BLOCK END
SELECT * FROM "catalog_page_renamed_trimmed"

stg_catalog_page.yml (Document the table)

version: 2
models:
- name: stg_catalog_page
  description: The table is about catalog pages. It contains information such as catalog
    page ID, start and end dates, department, catalog number, page number, description,
    and type. Each row represents a unique catalog page with its associated details.
    The type appears to be consistently "bi-annual" for the given samples.
  columns:
  - name: page_surrogate_key
    description: Surrogate key for the catalog page
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key specifically created to uniquely
        identify each catalog page. For this table, each row represents a unique catalog
        page, and the page_surrogate_key is designed to be unique across rows.
  - name: page_id
    description: Unique identifier for each catalog page
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is described as a unique identifier for each catalog
        page. For this table, each row represents a unique catalog page, and the page_id
        is intended to be unique across rows.
  - name: start_date_key
    description: Surrogate key for the start date
    tests:
    - not_null
  - name: end_date_key
    description: Surrogate key for the end date
    tests:
    - not_null
  - name: department
    description: Department associated with the catalog page
    tests:
    - accepted_values:
        values:
        - Electronics
        - Clothing
        - Home & Garden
        - Toys & Games
        - Sports & Outdoors
        - Beauty & Personal Care
        - Books
        - Music
        - Movies & TV
        - Automotive
        - Grocery
        - Pet Supplies
        - Health & Wellness
        - Jewelry
        - Office Supplies
        - Baby & Kids
        - Furniture
        - Appliances
        - Tools & Home Improvement
        - Arts & Crafts
        - DEPARTMENT
    cocoon_meta:
      missing_acceptable: Possibly represents a general or non-departmental page.
  - name: catalog_id
    description: Identifier for the catalog
    tests:
    - not_null
  - name: page_number
    description: Number of the page within the catalog
    tests:
    - not_null
  - name: catalog_type
    description: Type of catalog (e.g., bi-annual)
    tests:
    - not_null
    - accepted_values:
        values:
        - annual
        - bi-annual
        - quarterly
        - monthly
        - weekly
        - daily
        - seasonal
        - special edition
  - name: page_description
    description: Brief description of the catalog page content
    tests:
    - not_null

stg_web_site (first 100 rows)

	gmt_offset	suite_number	website_id	street_name	street_type	company_id	web_state	market_manager	web_country	site_manager	website_name	web_county	website_surrogate_key	web_city	market_id	web_classification	tax_percentage	record_end_date	record_start_date	street_number	web_close_date	web_open_date	zip_code
0	-5	Suite 330	AAAAAAAABAAAAAAA	Dogwood Sunset	Ln	6	TN	Joe George	United States	Ronald Shaffer	site_0	Williamson County	1	Midway	4	Unknown	0.1	NaT	1997-08-16	51	NaN	4850808.0	31904
1	-5	Suite 150	AAAAAAAACAAAAAAA	Ridge Wilson	Cir	4	TN	David Myers	United States	Tommy Jones	site_0	Williamson County	2	Midway	6	Unknown	0.0	2000-08-15	1997-08-16	358	2448973.0	4850799.0	31904

stg_web_site.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"web_site_renamed" AS (
    -- Rename: Renaming columns
    -- WEB_SITE_SK -> website_surrogate_key
    -- WEB_SITE_ID -> website_id
    -- WEB_REC_START_DATE -> record_start_date
    -- WEB_REC_END_DATE -> record_end_date
    -- WEB_NAME -> website_name
    -- WEB_OPEN_DATE_SK -> web_open_date
    -- WEB_CLOSE_DATE_SK -> web_close_date
    -- WEB_CLASS -> web_classification
    -- WEB_MANAGER -> site_manager
    -- WEB_MKT_ID -> market_id
    -- WEB_MKT_CLASS -> market_classification
    -- WEB_MKT_DESC -> market_description
    -- WEB_MARKET_MANAGER -> market_manager
    -- WEB_COMPANY_ID -> company_id
    -- WEB_COMPANY_NAME -> company_name
    -- WEB_STREET_NUMBER -> street_number
    -- WEB_STREET_NAME -> street_name
    -- WEB_STREET_TYPE -> street_type
    -- WEB_SUITE_NUMBER -> suite_number
    -- WEB_CITY -> web_city
    -- WEB_COUNTY -> web_county
    -- WEB_STATE -> web_state
    -- WEB_ZIP -> zip_code
    -- WEB_COUNTRY -> web_country
    -- WEB_GMT_OFFSET -> gmt_offset
    -- WEB_TAX_PERCENTAGE -> tax_percentage
    SELECT 
        "WEB_SITE_SK" AS "website_surrogate_key",
        "WEB_SITE_ID" AS "website_id",
        "WEB_REC_START_DATE" AS "record_start_date",
        "WEB_REC_END_DATE" AS "record_end_date",
        "WEB_NAME" AS "website_name",
        "WEB_OPEN_DATE_SK" AS "web_open_date",
        "WEB_CLOSE_DATE_SK" AS "web_close_date",
        "WEB_CLASS" AS "web_classification",
        "WEB_MANAGER" AS "site_manager",
        "WEB_MKT_ID" AS "market_id",
        "WEB_MKT_CLASS" AS "market_classification",
        "WEB_MKT_DESC" AS "market_description",
        "WEB_MARKET_MANAGER" AS "market_manager",
        "WEB_COMPANY_ID" AS "company_id",
        "WEB_COMPANY_NAME" AS "company_name",
        "WEB_STREET_NUMBER" AS "street_number",
        "WEB_STREET_NAME" AS "street_name",
        "WEB_STREET_TYPE" AS "street_type",
        "WEB_SUITE_NUMBER" AS "suite_number",
        "WEB_CITY" AS "web_city",
        "WEB_COUNTY" AS "web_county",
        "WEB_STATE" AS "web_state",
        "WEB_ZIP" AS "zip_code",
        "WEB_COUNTRY" AS "web_country",
        "WEB_GMT_OFFSET" AS "gmt_offset",
        "WEB_TAX_PERCENTAGE" AS "tax_percentage"
    FROM "web_site"
),

"web_site_renamed_cleaned" AS (
    -- Clean unusual string values: 
    -- market_classification: The problem is that both values in the market_classification column are incomplete sentences that do not represent clear market classifications. They appear to be truncated or nonsensical phrases rather than meaningful categories. The correct values for market classifications should be clear, concise categories describing the market segment or type of product/service. Since we don't have enough context to determine what the intended classifications were, the best approach is to map these unusual values to an empty string. 
    -- market_description: The problem is that both values in the market_description column are incoherent sentences that do not describe markets in any meaningful way. They appear to be randomly generated text or gibberish. The correct values should be empty strings since the existing text provides no useful market description information. 
    -- company_name: The problem is that both 'cally' and 'ese' appear to be incomplete or truncated company names. Without more context or information about the full company names, it's difficult to determine the correct complete names. These values are likely the result of data truncation or improper data entry. The correct values should be the full company names, but we don't have enough information to determine what those are. 
    -- street_type: The problem is inconsistent abbreviation and punctuation styles in the street_type column. 'Cir.' uses a period at the end, while 'Ln' does not. The correct values should use a consistent style, preferably without periods for brevity and consistency with common addressing standards. 
    SELECT
        "website_surrogate_key",
        "website_id",
        "record_start_date",
        "record_end_date",
        "website_name",
        "web_open_date",
        "web_close_date",
        "web_classification",
        "site_manager",
        "market_id",
        CASE
            WHEN "market_classification" = 'Completely excellent things ought to pro' THEN ''
            WHEN "market_classification" = 'Grey lines ought to result indeed centres. Tod' THEN ''
            ELSE "market_classification"
        END AS "market_classification",
        CASE
            WHEN "market_description" = 'Lucky passengers know. Red details will not hang alive, international s' THEN ''
            WHEN "market_description" = 'Well similar decisions used to keep hardly democratic, personal priorities.' THEN ''
            ELSE "market_description"
        END AS "market_description",
        "market_manager",
        "company_id",
        CASE
            WHEN "company_name" = 'cally' THEN ''
            WHEN "company_name" = 'ese' THEN ''
            ELSE "company_name"
        END AS "company_name",
        "street_number",
        "street_name",
        CASE
            WHEN "street_type" = 'Cir.' THEN 'Cir'
            ELSE "street_type"
        END AS "street_type",
        "suite_number",
        "web_city",
        "web_county",
        "web_state",
        "zip_code",
        "web_country",
        "gmt_offset",
        "tax_percentage"
    FROM "web_site_renamed"
),

"web_site_renamed_cleaned_null" AS (
    -- NULL Imputation: Impute Null to Disguised Missing Values
    -- market_classification: ['']
    -- market_description: ['']
    -- company_name: ['']
    SELECT 
        CASE
            WHEN "market_classification" = '' THEN NULL
            ELSE "market_classification"
        END AS "market_classification",
        CASE
            WHEN "market_description" = '' THEN NULL
            ELSE "market_description"
        END AS "market_description",
        CASE
            WHEN "company_name" = '' THEN NULL
            ELSE "company_name"
        END AS "company_name",
        "gmt_offset",
        "suite_number",
        "website_id",
        "street_name",
        "street_type",
        "company_id",
        "web_state",
        "market_manager",
        "web_country",
        "web_open_date",
        "site_manager",
        "website_name",
        "web_county",
        "record_end_date",
        "website_surrogate_key",
        "web_city",
        "zip_code",
        "record_start_date",
        "street_number",
        "web_close_date",
        "market_id",
        "web_classification",
        "tax_percentage"
    FROM "web_site_renamed_cleaned"
),

"web_site_renamed_cleaned_null_casted" AS (
    -- Column Type Casting: 
    -- record_end_date: from VARCHAR to DATE
    -- record_start_date: from VARCHAR to DATE
    -- street_number: from INT to VARCHAR
    -- web_close_date: from DECIMAL to DATE
    -- web_open_date: from INT to DATE
    -- zip_code: from INT to VARCHAR
    SELECT
        "market_classification",
        "market_description",
        "company_name",
        "gmt_offset",
        "suite_number",
        "website_id",
        "street_name",
        "street_type",
        "company_id",
        "web_state",
        "market_manager",
        "web_country",
        "site_manager",
        "website_name",
        "web_county",
        "website_surrogate_key",
        "web_city",
        "market_id",
        "web_classification",
        "tax_percentage",
        CAST("record_end_date" AS DATE) AS "record_end_date",
        CAST("record_start_date" AS DATE) AS "record_start_date",
        CAST("street_number" AS VARCHAR) AS "street_number",
        "web_close_date" AS "web_close_date",
        julian(DATE '1858-11-17' + CAST("web_open_date" AS INTEGER)) AS "web_open_date",
        CAST("zip_code" AS VARCHAR) AS "zip_code"
    FROM "web_site_renamed_cleaned_null"
),

"web_site_renamed_cleaned_null_casted_missing_handled" AS (
    -- Handling missing values: There are 4 columns with unacceptable missing values
    -- company_name has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- market_classification has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- market_description has 100.0 percent missing. Strategy: 🗑️ Drop Column
    -- record_end_date has 50.0 percent missing. Strategy: 🔄 Unchanged
    SELECT
        "gmt_offset",
        "suite_number",
        "website_id",
        "street_name",
        "street_type",
        "company_id",
        "web_state",
        "market_manager",
        "web_country",
        "site_manager",
        "website_name",
        "web_county",
        "website_surrogate_key",
        "web_city",
        "market_id",
        "web_classification",
        "tax_percentage",
        "record_end_date",
        "record_start_date",
        "street_number",
        "web_close_date",
        "web_open_date",
        "zip_code"
    FROM "web_site_renamed_cleaned_null_casted"
)

-- COCOON BLOCK END
SELECT * FROM "web_site_renamed_cleaned_null_casted_missing_handled"

stg_web_site.yml (Document the table)

version: 2
models:
- name: stg_web_site
  description: The table is about web sites. It contains details such as site ID,
    name, opening and closing dates, manager, market information, company details,
    address, and tax percentage. Each row represents a unique web site with its characteristics
    and location information. The table includes both current and historical data
    for web sites.
  columns:
  - name: gmt_offset
    description: GMT time offset for the website's location
    tests:
    - not_null
  - name: suite_number
    description: Suite number of the website's address
    tests:
    - not_null
  - name: website_id
    description: Unique identifier for the website
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a unique identifier for the website. For this table,
        each row represents a unique website, and the website_id is designed to be
        unique for each website.
  - name: street_name
    description: Street name of the website's address
    tests:
    - not_null
  - name: street_type
    description: Street type of the website's address
    tests:
    - not_null
    - accepted_values:
        values:
        - Ave
        - Blvd
        - Cir
        - Ct
        - Dr
        - Ln
        - Pl
        - Rd
        - St
        - Ter
        - Way
        - Pkwy
        - Hwy
        - Aly
        - Expy
  - name: company_id
    description: Unique identifier for the company
    tests:
    - not_null
  - name: web_state
    description: State where the website is registered
    tests:
    - not_null
  - name: market_manager
    description: Name of the market manager
    tests:
    - not_null
  - name: web_country
    description: Country where the website is registered
    tests:
    - not_null
  - name: site_manager
    description: Name of the website manager
    tests:
    - not_null
  - name: website_name
    description: Name of the website
    tests:
    - not_null
  - name: web_county
    description: County where the website is registered
    tests:
    - not_null
  - name: website_surrogate_key
    description: Surrogate key for the website
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key for the website. For this table,
        each row represents a unique website, and the surrogate key is designed to
        be unique for each website.
  - name: web_city
    description: City where the website is registered
    tests:
    - not_null
  - name: market_id
    description: Unique identifier for the market
    tests:
    - not_null
  - name: web_classification
    description: Classification of the website
    tests:
    - not_null
  - name: tax_percentage
    description: Tax percentage applicable to the website
    tests:
    - not_null
  - name: record_end_date
    description: End date of the record
    tests:
    - not_null
  - name: record_start_date
    description: Start date of the record
    tests:
    - not_null
  - name: street_number
    description: Street number of the website's address
    tests:
    - not_null
  - name: web_close_date
    description: Date when the website was closed
    cocoon_meta:
      missing_acceptable: Website may still be active, so no close date.
  - name: web_open_date
    description: Date when the website was opened
    tests:
    - not_null
  - name: zip_code
    description: ZIP code of the website's location
    tests:
    - not_null

stg_store_returns (first 100 rows)

	item_id	ticket_number	unit_wholesale_cost	unit_list_price	unit_sales_price	total_discount_amount	total_sales_price	total_wholesale_cost	total_list_price	total_tax_amount	coupon_amount	net_paid	net_paid_with_tax	net_profit	address_id	customer_demo_id	customer_id	household_demo_id	promotion_id	quantity	sale_date_id	sale_time_id	store_id
0	404	1	37.23	3.35	40.58	55.28	714.00	0.74	17.51	18.98	772.63	NaN	NaN	NaN	397.0	793022.0	6.0	4033.0	1.0	51.0	2451984.0	46418.0	2.0
1	1813	1	4009.32	120.27	4129.59	28.23	0.00	3448.01	5.61	555.70	148.50	NaN	NaN	NaN	751.0	1082163.0	6.0	7157.0	1.0	43.0	2451822.0	47480.0	1.0
2	1030	2	249.48	2.49	251.97	11.50	6.23	234.51	8.83	6.14	20.22	NaN	NaN	NaN	819.0	289468.0	284.0	3067.0	1.0	7.0	2451653.0	37700.0	2.0
3	1719	3	227.37	6.82	234.19	9.23	33.42	125.05	51.16	51.16	49.47	NaN	NaN	NaN	663.0	793786.0	47.0	6401.0	1.0	3.0	2452682.0	38957.0	2.0
4	1063	3	1273.05	25.46	1298.51	46.15	406.18	954.78	57.28	260.99	477.79	NaN	NaN	NaN	152.0	193750.0	47.0	2351.0	1.0	23.0	2452682.0	41617.0	1.0
5	1545	3	35.14	2.45	37.59	79.00	0.00	9.13	5.20	20.81	81.45	NaN	NaN	NaN	76.0	1047081.0	47.0	2455.0	1.0	1.0	2452688.0	60645.0	2.0
6	397	4	63.54	1.27	64.81	1.26	10.80	33.67	2.68	27.19	13.33	NaN	NaN	NaN	164.0	722383.0	814.0	1497.0	1.0	18.0	2451598.0	40772.0	2.0
7	908	4	18.60	1.48	20.08	46.48	270.60	10.04	8.04	0.52	318.56	NaN	NaN	NaN	491.0	925501.0	814.0	3196.0	1.0	12.0	2451521.0	33881.0	2.0
8	1790	5	347.42	6.94	354.36	97.98	331.18	107.70	14.38	225.34	436.10	NaN	NaN	NaN	935.0	1150235.0	246.0	3185.0	1.0	58.0	2451628.0	34073.0	1.0
9	151	6	61.81	3.70	65.51	68.44	44.79	54.39	0.14	7.28	116.93	NaN	NaN	NaN	724.0	492488.0	29.0	6806.0	1.0	1.0	2452165.0	54713.0	2.0
10	543	7	809.28	24.27	833.55	88.17	51.12	194.22	442.84	172.22	163.56	NaN	NaN	NaN	299.0	1182421.0	954.0	560.0	1.0	72.0	2452319.0	50204.0	1.0
11	163	10	3960.48	0.00	3960.48	39.22	65.76	1980.24	1960.43	19.81	104.98	NaN	NaN	NaN	625.0	178772.0	451.0	175.0	1.0	48.0	2452065.0	40372.0	2.0
12	1639	11	1639.44	81.97	1721.41	96.21	712.80	147.54	1163.68	328.22	890.98	NaN	NaN	NaN	89.0	727030.0	900.0	4636.0	1.0	36.0	2452575.0	42311.0	1.0
13	1196	12	417.42	4.17	421.59	62.17	2400.30	375.67	37.57	4.18	2466.64	NaN	NaN	NaN	714.0	201438.0	820.0	6076.0	1.0	27.0	2451378.0	48500.0	2.0
14	1495	12	1208.42	48.33	1256.75	69.04	887.80	96.67	355.76	755.99	1005.17	NaN	NaN	NaN	633.0	1351118.0	820.0	2652.0	1.0	46.0	2451329.0	44694.0	2.0
15	130	13	40.60	3.24	43.84	1.13	312.62	27.20	0.26	13.14	316.99	NaN	NaN	NaN	138.0	130689.0	588.0	2790.0	1.0	58.0	2451014.0	29493.0	1.0
16	1591	13	83.51	7.51	91.02	81.26	20.31	73.48	8.42	1.61	109.08	NaN	NaN	NaN	400.0	541501.0	144.0	527.0	1.0	1.0	2450926.0	48082.0	1.0
17	2000	13	350.40	14.01	364.41	20.61	247.98	255.79	62.44	32.17	282.60	NaN	NaN	NaN	50.0	277151.0	144.0	1877.0	1.0	6.0	2450924.0	48257.0	1.0
18	935	14	708.18	49.57	757.75	NaN	NaN	559.46	NaN	NaN	NaN	NaN	NaN	NaN	NaN	829696.0	409.0	NaN	1.0	NaN	NaN	NaN	NaN
19	1100	15	9.43	0.75	10.18	35.62	48.33	8.48	0.61	0.34	84.70	NaN	NaN	NaN	446.0	747820.0	835.0	2733.0	1.0	1.0	2451933.0	41472.0	1.0
20	1903	16	2406.00	72.18	2478.18	19.02	349.20	505.26	722.28	1178.46	440.40	NaN	NaN	NaN	411.0	1815885.0	222.0	5148.0	1.0	24.0	2450914.0	51589.0	2.0
21	1750	16	181.65	10.89	192.54	98.09	60.45	74.47	8.57	98.61	169.43	NaN	NaN	NaN	950.0	524921.0	139.0	3159.0	1.0	15.0	2450924.0	34013.0	2.0
22	1285	18	199.36	9.96	209.32	57.84	89.04	95.69	14.51	89.16	156.84	NaN	NaN	NaN	828.0	1532238.0	292.0	2533.0	1.0	56.0	2451547.0	44125.0	1.0
23	1100	18	419.25	12.57	431.82	58.46	226.72	37.73	343.36	38.16	297.75	NaN	NaN	NaN	424.0	187471.0	292.0	1924.0	1.0	13.0	2451491.0	44663.0	2.0
24	1294	19	359.24	32.33	391.57	13.77	517.30	283.79	45.27	30.18	563.40	NaN	NaN	NaN	312.0	1392417.0	104.0	1141.0	1.0	14.0	2451376.0	56165.0	1.0
25	1304	19	2391.48	47.82	2439.30	78.85	2602.86	2032.75	243.93	114.80	2729.53	NaN	NaN	NaN	856.0	1325860.0	762.0	758.0	1.0	78.0	2451493.0	50425.0	1.0
26	190	21	1778.76	53.36	1832.12	73.43	495.72	160.08	1068.32	550.36	622.51	NaN	NaN	NaN	305.0	854970.0	626.0	2561.0	1.0	27.0	2451280.0	33889.0	1.0
27	1051	22	35.02	0.00	35.02	22.87	195.16	14.35	2.68	17.99	218.03	NaN	NaN	NaN	494.0	1685822.0	935.0	6158.0	1.0	17.0	2451277.0	40485.0	2.0
28	475	22	113.94	9.11	123.05	66.52	53.40	37.60	57.25	19.09	129.03	NaN	NaN	NaN	555.0	1247881.0	935.0	5718.0	1.0	6.0	2451231.0	29254.0	2.0
29	1953	23	5883.20	294.16	6177.36	52.40	2848.80	4824.22	328.28	730.70	3195.36	NaN	NaN	NaN	30.0	1890707.0	669.0	5392.0	1.0	80.0	2452771.0	51900.0	2.0
30	1665	24	28.49	0.00	28.49	69.29	29.81	6.26	1.33	20.90	99.10	NaN	NaN	NaN	270.0	1359322.0	69.0	2796.0	1.0	11.0	2452213.0	40442.0	1.0
31	1483	24	1099.02	54.95	1153.97	27.69	328.38	1033.07	58.03	7.92	411.02	NaN	NaN	NaN	765.0	1553144.0	69.0	6578.0	1.0	78.0	2452305.0	60624.0	1.0
32	373	25	42.12	2.52	44.64	57.38	6.12	37.48	2.04	2.60	66.02	NaN	NaN	NaN	883.0	1564003.0	838.0	1743.0	1.0	18.0	2451053.0	35984.0	1.0
33	1304	25	772.59	46.35	818.94	28.93	178.23	347.66	50.99	373.94	253.51	NaN	NaN	NaN	932.0	77813.0	838.0	3196.0	1.0	39.0	2451079.0	50088.0	1.0
34	1085	27	382.20	0.00	382.20	97.85	154.56	259.89	13.45	108.86	252.41	NaN	NaN	NaN	590.0	637321.0	780.0	1532.0	1.0	84.0	2451966.0	49139.0	2.0
35	1935	27	59.84	1.79	61.63	38.22	137.72	43.68	6.62	9.54	177.73	NaN	NaN	NaN	896.0	178335.0	780.0	4892.0	1.0	22.0	2451964.0	49463.0	1.0
36	1334	29	5.04	0.45	5.49	85.50	15.96	3.83	0.03	1.18	101.91	NaN	NaN	NaN	868.0	1723855.0	631.0	885.0	1.0	6.0	2451259.0	35185.0	2.0
37	1234	29	41.80	3.76	45.56	18.82	985.16	17.13	24.17	0.50	1007.74	NaN	NaN	NaN	10.0	135738.0	631.0	5274.0	1.0	22.0	2451174.0	32214.0	2.0
38	205	32	2092.23	167.37	2259.60	14.26	987.28	941.50	149.59	1001.14	1168.91	NaN	NaN	NaN	125.0	222350.0	120.0	2461.0	1.0	41.0	2451983.0	33769.0	2.0
39	205	34	208.78	16.70	225.48	77.95	223.73	198.34	3.65	6.79	318.38	NaN	NaN	NaN	883.0	934775.0	971.0	429.0	1.0	13.0	2451392.0	48895.0	1.0
40	1537	35	144.00	0.00	144.00	36.15	2167.20	87.84	39.87	16.29	2203.35	NaN	NaN	NaN	107.0	539558.0	958.0	6809.0	1.0	60.0	2452196.0	33535.0	2.0
41	1117	36	999.45	79.95	1079.40	29.51	35.10	499.72	439.76	59.97	144.56	NaN	NaN	NaN	711.0	1243218.0	8.0	3988.0	1.0	45.0	2452306.0	40321.0	1.0
42	1705	36	NaN	3.49	NaN	NaN	NaN	7.49	13.58	NaN	NaN	NaN	NaN	NaN	NaN	882385.0	8.0	NaN	1.0	NaN	2452317.0	53999.0	2.0
43	631	36	541.31	43.30	584.61	71.10	241.36	519.65	10.18	11.48	355.76	NaN	NaN	NaN	735.0	465142.0	722.0	3315.0	1.0	7.0	2452279.0	41984.0	1.0
44	415	37	8562.90	513.77	9076.67	8.17	366.35	4195.82	3493.66	873.42	888.29	NaN	NaN	NaN	144.0	491912.0	252.0	5028.0	1.0	85.0	2452128.0	30131.0	2.0
45	1670	41	1327.36	79.64	1407.00	49.73	558.79	66.36	731.38	529.62	688.16	NaN	NaN	NaN	714.0	1681246.0	890.0	5780.0	1.0	17.0	2451271.0	44173.0	1.0
46	130	42	422.24	8.44	430.68	48.27	551.20	329.34	15.79	77.11	607.91	NaN	NaN	NaN	487.0	1577815.0	423.0	3651.0	1.0	13.0	2451092.0	43741.0	1.0
47	1219	42	1240.55	0.00	1240.55	86.84	68.80	719.51	359.51	161.53	155.64	NaN	NaN	NaN	912.0	1611739.0	229.0	3649.0	1.0	43.0	2451033.0	54994.0	2.0
48	1820	42	475.54	9.51	485.05	73.37	317.07	128.39	197.87	149.28	399.95	NaN	NaN	NaN	223.0	134560.0	152.0	4215.0	1.0	13.0	2451073.0	52318.0	1.0
49	597	45	2703.87	243.34	2947.21	59.97	386.10	1487.12	790.88	425.87	689.41	NaN	NaN	NaN	621.0	1581204.0	606.0	3389.0	1.0	39.0	2452295.0	39258.0	2.0
50	992	46	3742.14	149.68	3891.82	24.47	379.29	3442.76	59.87	239.51	553.44	NaN	NaN	NaN	832.0	194443.0	598.0	4161.0	1.0	47.0	2451354.0	60360.0	2.0
51	398	46	NaN	NaN	453.29	51.61	207.48	104.60	86.12	NaN	276.52	NaN	NaN	NaN	NaN	NaN	NaN	3068.0	NaN	38.0	NaN	59918.0	1.0
52	368	47	8.12	0.73	8.85	19.08	7.43	3.81	0.77	3.54	27.24	NaN	NaN	NaN	373.0	1256944.0	903.0	382.0	1.0	1.0	2451177.0	58870.0	1.0
53	199	48	199.35	17.94	217.29	11.83	112.95	191.37	0.71	7.27	142.72	NaN	NaN	NaN	391.0	1862359.0	843.0	2275.0	1.0	5.0	2452738.0	29363.0	2.0
54	1215	48	392.20	27.45	419.65	10.16	116.00	152.95	224.89	14.36	153.61	NaN	NaN	NaN	251.0	1047097.0	202.0	5374.0	1.0	10.0	2452745.0	44637.0	2.0
55	1592	49	496.23	29.77	526.00	48.23	31.92	282.85	142.96	70.42	109.92	NaN	NaN	NaN	91.0	103157.0	590.0	6724.0	1.0	21.0	2451892.0	35637.0	2.0
56	311	51	172.10	5.16	177.26	22.72	64.20	170.37	1.59	0.14	92.08	NaN	NaN	NaN	61.0	945253.0	517.0	3357.0	1.0	5.0	2451769.0	38709.0	2.0
57	266	52	911.04	0.00	911.04	21.65	378.17	619.50	253.63	37.91	399.82	NaN	NaN	NaN	230.0	173053.0	831.0	4865.0	1.0	13.0	2451102.0	32082.0	2.0
58	514	52	113.50	1.13	114.63	62.63	125.50	30.64	25.68	57.18	189.26	NaN	NaN	NaN	196.0	1866272.0	810.0	3734.0	1.0	25.0	2451088.0	55568.0	2.0
59	1006	53	2.23	0.08	2.31	26.56	1.48	0.20	0.89	1.14	28.12	NaN	NaN	NaN	885.0	508248.0	672.0	5690.0	1.0	1.0	2451573.0	36729.0	1.0
60	1707	54	95.48	3.81	99.29	93.36	8.36	34.37	36.05	25.06	105.53	NaN	NaN	NaN	162.0	1042828.0	157.0	4295.0	1.0	11.0	2452729.0	48880.0	1.0
61	350	55	252.67	12.63	265.30	20.45	63.14	194.55	42.42	15.70	96.22	NaN	NaN	NaN	463.0	869419.0	297.0	5541.0	1.0	11.0	2452040.0	43895.0	1.0
62	357	60	2733.90	54.67	2788.57	60.37	0.00	683.47	1558.32	492.11	115.04	NaN	NaN	NaN	82.0	972821.0	967.0	2228.0	1.0	78.0	2452339.0	46469.0	1.0
63	1113	62	446.76	26.80	473.56	67.62	213.66	58.07	15.54	373.15	308.08	NaN	NaN	NaN	703.0	1420275.0	197.0	5589.0	1.0	6.0	2452254.0	40433.0	1.0
64	1818	63	NaN	11.73	NaN	NaN	NaN	172.06	NaN	NaN	568.77	NaN	NaN	NaN	488.0	305648.0	129.0	NaN	1.0	NaN	2452701.0	35838.0	NaN
65	1831	63	78.56	0.00	78.56	96.23	49.60	43.99	21.43	13.14	145.83	NaN	NaN	NaN	302.0	1086498.0	129.0	2400.0	1.0	16.0	2452596.0	29520.0	1.0
66	1513	63	216.16	19.45	235.61	57.17	242.76	108.08	104.83	3.25	319.38	NaN	NaN	NaN	610.0	479318.0	129.0	1264.0	1.0	28.0	2452604.0	36240.0	2.0
67	723	64	583.49	40.84	624.33	54.92	392.35	280.07	203.29	100.13	488.11	NaN	NaN	NaN	782.0	145292.0	17.0	437.0	1.0	19.0	2452593.0	55466.0	2.0
68	913	64	2325.60	0.00	2325.60	57.60	1987.30	1046.52	575.58	703.50	2044.90	NaN	NaN	NaN	33.0	492805.0	17.0	2019.0	1.0	34.0	2452556.0	56489.0	1.0
69	1125	64	6903.60	0.00	6903.60	76.02	2987.82	6213.24	352.08	338.28	3063.84	NaN	NaN	NaN	193.0	569529.0	17.0	3161.0	1.0	66.0	2452437.0	54978.0	1.0
70	1629	66	630.75	25.23	655.98	2.26	336.30	491.98	80.48	58.29	363.79	NaN	NaN	NaN	465.0	1603765.0	766.0	4015.0	1.0	15.0	2452346.0	53160.0	2.0
71	1705	67	594.09	23.76	617.85	40.24	1063.54	160.40	56.37	377.32	1127.54	NaN	NaN	NaN	930.0	529565.0	624.0	2324.0	1.0	41.0	2452555.0	43088.0	1.0
72	481	68	178.50	5.35	183.85	96.73	53.76	82.11	75.18	21.21	155.84	NaN	NaN	NaN	205.0	496988.0	564.0	6773.0	1.0	21.0	2451258.0	43812.0	2.0
73	196	71	13.48	0.13	13.61	91.25	2.92	6.33	5.14	2.01	94.30	NaN	NaN	NaN	738.0	875823.0	942.0	2104.0	1.0	2.0	2451256.0	50305.0	1.0
74	205	71	188.00	16.92	204.92	44.05	51.25	150.40	6.39	31.21	112.22	NaN	NaN	NaN	1.0	1910912.0	239.0	233.0	1.0	25.0	2451294.0	44684.0	2.0
75	1225	71	164.65	1.64	166.29	75.66	205.80	74.09	12.67	77.89	283.10	NaN	NaN	NaN	146.0	195885.0	239.0	3539.0	1.0	5.0	2451329.0	29997.0	2.0
76	521	72	166.41	1.66	168.07	1.14	64.92	59.90	62.84	43.67	67.72	NaN	NaN	NaN	468.0	1271817.0	602.0	6019.0	1.0	3.0	2451829.0	50278.0	1.0
77	1540	74	36.32	0.00	36.32	38.54	42.96	12.71	6.13	17.48	81.50	NaN	NaN	NaN	886.0	767720.0	337.0	4103.0	1.0	4.0	2451174.0	57809.0	2.0
78	569	76	76.51	6.88	83.39	66.92	30.28	56.61	19.70	0.20	104.08	NaN	NaN	NaN	580.0	78088.0	531.0	234.0	1.0	1.0	2452279.0	52274.0	2.0
79	1627	76	796.05	31.84	827.89	91.64	176.85	278.61	243.19	274.25	300.33	NaN	NaN	NaN	352.0	1630980.0	531.0	4166.0	1.0	15.0	2452242.0	52421.0	1.0
80	1856	77	569.40	45.55	614.95	45.00	621.20	529.54	19.93	19.93	711.75	NaN	NaN	NaN	43.0	622349.0	102.0	4796.0	1.0	10.0	2451201.0	32557.0	2.0
81	1741	78	1077.83	64.66	1142.49	77.87	576.81	506.58	457.00	114.25	719.34	NaN	NaN	NaN	309.0	1758891.0	529.0	3500.0	1.0	13.0	2451155.0	53923.0	1.0
82	31	79	797.64	71.78	869.42	57.39	1296.08	71.78	79.84	646.02	1425.25	NaN	NaN	NaN	483.0	382863.0	17.0	6073.0	1.0	34.0	2452290.0	54248.0	1.0
83	13	80	6830.08	68.30	6898.38	85.70	148.48	6625.17	127.04	77.87	302.48	NaN	NaN	NaN	916.0	1254797.0	368.0	4380.0	1.0	64.0	2451154.0	51844.0	2.0
84	358	81	1416.58	42.49	1459.07	16.86	849.86	1388.24	23.52	4.82	909.21	NaN	NaN	NaN	915.0	459305.0	625.0	510.0	1.0	22.0	2451281.0	48144.0	1.0
85	1543	81	0.00	0.00	0.00	94.53	24.55	0.00	0.00	0.00	119.08	NaN	NaN	NaN	147.0	944226.0	625.0	463.0	1.0	5.0	2451214.0	55537.0	2.0
86	1790	82	1491.00	NaN	NaN	NaN	545.30	NaN	735.06	NaN	707.47	NaN	NaN	NaN	NaN	NaN	512.0	3587.0	NaN	NaN	2451369.0	NaN	1.0
87	1780	82	847.84	42.39	890.23	40.52	77.04	576.53	208.90	62.41	159.95	NaN	NaN	NaN	356.0	1082287.0	896.0	645.0	1.0	8.0	2451471.0	50769.0	1.0
88	1996	82	1399.65	55.98	1455.63	74.63	447.63	839.79	156.76	403.10	578.24	NaN	NaN	NaN	230.0	1427925.0	896.0	1401.0	1.0	43.0	2451533.0	34774.0	2.0
89	1671	83	1151.01	23.02	1174.03	28.22	146.16	115.10	973.75	62.16	197.40	NaN	NaN	NaN	175.0	842053.0	678.0	5314.0	1.0	21.0	2452677.0	50033.0	1.0
90	1951	84	323.00	19.38	342.38	5.27	171.25	261.63	43.57	17.80	195.90	NaN	NaN	NaN	165.0	1034463.0	91.0	114.0	1.0	5.0	2452530.0	44806.0	1.0
91	1482	84	1733.76	156.03	1889.79	98.99	1155.42	208.05	671.31	854.40	1410.44	NaN	NaN	NaN	7.0	222509.0	91.0	5658.0	1.0	63.0	2452550.0	39316.0	2.0
92	984	84	112.84	0.00	112.84	47.55	130.00	44.00	68.84	0.00	177.55	NaN	NaN	NaN	818.0	1844056.0	91.0	137.0	1.0	52.0	2452550.0	56385.0	2.0
93	363	86	50.00	4.00	54.00	95.65	2.50	29.00	16.38	4.62	102.15	NaN	NaN	NaN	452.0	1435175.0	560.0	1237.0	1.0	25.0	2452743.0	53098.0	1.0
94	1039	86	100.44	3.01	103.45	81.54	343.32	50.22	6.52	43.70	427.87	NaN	NaN	NaN	430.0	705875.0	359.0	2076.0	1.0	12.0	2452805.0	37053.0	2.0
95	920	87	NaN	NaN	NaN	35.41	NaN	213.43	NaN	0.17	NaN	NaN	NaN	NaN	NaN	1393955.0	NaN	NaN	NaN	17.0	2451604.0	NaN	NaN
96	1685	88	146.20	0.00	146.20	22.87	1376.66	86.25	23.38	36.57	1399.53	NaN	NaN	NaN	403.0	1361123.0	272.0	1963.0	1.0	34.0	2452317.0	32925.0	1.0
97	1679	88	1168.30	70.09	1238.39	37.61	1168.30	198.61	96.96	872.73	1276.00	NaN	NaN	NaN	372.0	341664.0	110.0	7018.0	1.0	70.0	2452260.0	58521.0	2.0
98	788	89	131.14	0.00	131.14	75.40	53.76	111.46	17.51	2.17	129.16	NaN	NaN	NaN	52.0	751267.0	994.0	6036.0	1.0	1.0	2451907.0	56892.0	1.0

stg_store_returns.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"store_returns_renamed" AS (
    -- Rename: Renaming columns
    -- SS_SOLD_DATE_SK -> sale_date_id
    -- SS_SOLD_TIME_SK -> sale_time_id
    -- SS_ITEM_SK -> item_id
    -- SS_CUSTOMER_SK -> customer_id
    -- SS_CDEMO_SK -> customer_demo_id
    -- SS_HDEMO_SK -> household_demo_id
    -- SS_ADDR_SK -> address_id
    -- SS_STORE_SK -> store_id
    -- SS_PROMO_SK -> promotion_id
    -- SS_TICKET_NUMBER -> ticket_number
    -- SS_QUANTITY -> quantity
    -- SS_WHOLESALE_COST -> unit_wholesale_cost
    -- SS_LIST_PRICE -> unit_list_price
    -- SS_SALES_PRICE -> unit_sales_price
    -- SS_EXT_DISCOUNT_AMT -> total_discount_amount
    -- SS_EXT_SALES_PRICE -> total_sales_price
    -- SS_EXT_WHOLESALE_COST -> total_wholesale_cost
    -- SS_EXT_LIST_PRICE -> total_list_price
    -- SS_EXT_TAX -> total_tax_amount
    -- SS_COUPON_AMT -> coupon_amount
    -- SS_NET_PAID -> net_paid
    -- SS_NET_PAID_INC_TAX -> net_paid_with_tax
    -- SS_NET_PROFIT -> net_profit
    SELECT 
        "SS_SOLD_DATE_SK" AS "sale_date_id",
        "SS_SOLD_TIME_SK" AS "sale_time_id",
        "SS_ITEM_SK" AS "item_id",
        "SS_CUSTOMER_SK" AS "customer_id",
        "SS_CDEMO_SK" AS "customer_demo_id",
        "SS_HDEMO_SK" AS "household_demo_id",
        "SS_ADDR_SK" AS "address_id",
        "SS_STORE_SK" AS "store_id",
        "SS_PROMO_SK" AS "promotion_id",
        "SS_TICKET_NUMBER" AS "ticket_number",
        "SS_QUANTITY" AS "quantity",
        "SS_WHOLESALE_COST" AS "unit_wholesale_cost",
        "SS_LIST_PRICE" AS "unit_list_price",
        "SS_SALES_PRICE" AS "unit_sales_price",
        "SS_EXT_DISCOUNT_AMT" AS "total_discount_amount",
        "SS_EXT_SALES_PRICE" AS "total_sales_price",
        "SS_EXT_WHOLESALE_COST" AS "total_wholesale_cost",
        "SS_EXT_LIST_PRICE" AS "total_list_price",
        "SS_EXT_TAX" AS "total_tax_amount",
        "SS_COUPON_AMT" AS "coupon_amount",
        "SS_NET_PAID" AS "net_paid",
        "SS_NET_PAID_INC_TAX" AS "net_paid_with_tax",
        "SS_NET_PROFIT" AS "net_profit"
    FROM "store_returns"
),

"store_returns_renamed_casted" AS (
    -- Column Type Casting: 
    -- address_id: from DECIMAL to INT
    -- customer_demo_id: from DECIMAL to INT
    -- customer_id: from DECIMAL to INT
    -- household_demo_id: from DECIMAL to INT
    -- promotion_id: from DECIMAL to INT
    -- quantity: from DECIMAL to INT
    -- sale_date_id: from DECIMAL to INT
    -- sale_time_id: from DECIMAL to INT
    -- store_id: from DECIMAL to INT
    SELECT
        "item_id",
        "ticket_number",
        "unit_wholesale_cost",
        "unit_list_price",
        "unit_sales_price",
        "total_discount_amount",
        "total_sales_price",
        "total_wholesale_cost",
        "total_list_price",
        "total_tax_amount",
        "coupon_amount",
        "net_paid",
        "net_paid_with_tax",
        "net_profit",
        CAST("address_id" AS INT) AS "address_id",
        CAST("customer_demo_id" AS INT) AS "customer_demo_id",
        CAST("customer_id" AS INT) AS "customer_id",
        CAST("household_demo_id" AS INT) AS "household_demo_id",
        CAST("promotion_id" AS INT) AS "promotion_id",
        CAST("quantity" AS INTEGER) AS "quantity",
        CAST("sale_date_id" AS INT) AS "sale_date_id",
        CAST("sale_time_id" AS INT) AS "sale_time_id",
        CAST("store_id" AS INT) AS "store_id"
    FROM "store_returns_renamed"
)

-- COCOON BLOCK END
SELECT * FROM "store_returns_renamed_casted"

stg_store_returns.yml (Document the table)

version: 2
models:
- name: stg_store_returns
  description: The table is about store returns. It includes details such as the date
    and time of the return, item and customer information, store and promotion details,
    quantities, costs, prices, discounts, and various financial calculations related
    to the return transaction. Each row represents a single item returned in a transaction.
  columns:
  - name: item_id
    description: Item surrogate key
    tests:
    - not_null
  - name: ticket_number
    description: Ticket number for the transaction
    tests:
    - not_null
  - name: unit_wholesale_cost
    description: Wholesale cost per unit
    tests:
    - not_null
  - name: unit_list_price
    description: List price per unit
    tests:
    - not_null
  - name: unit_sales_price
    description: Sales price per unit
    tests:
    - not_null
  - name: total_discount_amount
    description: Extended discount amount
    tests:
    - not_null
  - name: total_sales_price
    description: Extended sales price
    tests:
    - not_null
  - name: total_wholesale_cost
    description: Extended wholesale cost
    tests:
    - not_null
  - name: total_list_price
    description: Extended list price
    tests:
    - not_null
  - name: total_tax_amount
    description: Extended tax amount
    tests:
    - not_null
  - name: coupon_amount
    description: Amount of coupon applied
    tests:
    - not_null
  - name: net_paid
    description: Net amount paid
    cocoon_meta:
      missing_acceptable: Zero value when item is free or fully discounted
  - name: net_paid_with_tax
    description: Net amount paid including tax
    cocoon_meta:
      missing_acceptable: Zero value when item is free or fully discounted
  - name: net_profit
    description: Net profit
    cocoon_meta:
      missing_acceptable: No profit calculation for free or fully discounted items
  - name: address_id
    description: Address surrogate key
    tests:
    - not_null
  - name: customer_demo_id
    description: Customer demographics surrogate key
    tests:
    - not_null
  - name: customer_id
    description: Customer surrogate key
    tests:
    - not_null
  - name: household_demo_id
    description: Household demographics surrogate key
    tests:
    - not_null
  - name: promotion_id
    description: Promotion surrogate key
    tests:
    - not_null
  - name: quantity
    description: Quantity of items
    tests:
    - not_null
  - name: sale_date_id
    description: Date surrogate key
    tests:
    - not_null
  - name: sale_time_id
    description: Time surrogate key
    tests:
    - not_null
  - name: store_id
    description: Store surrogate key
    tests:
    - not_null

stg_reason (first 100 rows)

	reason_surrogate_key	reason_id	reason_description
0	1	AAAAAAAABAAAAAAA	Package was damaged

stg_reason.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"reason_renamed" AS (
    -- Rename: Renaming columns
    -- R_REASON_SK -> reason_surrogate_key
    -- R_REASON_ID -> reason_id
    -- R_REASON_DESC -> reason_description
    SELECT 
        "R_REASON_SK" AS "reason_surrogate_key",
        "R_REASON_ID" AS "reason_id",
        "R_REASON_DESC" AS "reason_description"
    FROM "reason"
)

-- COCOON BLOCK END
SELECT * FROM "reason_renamed"

stg_reason.yml (Document the table)

version: 2
models:
- name: stg_reason
  description: The table is about reasons for returns or issues. It contains a surrogate
    key, a reason ID, and a description of the reason. Each row represents a specific
    reason, like "Package was damaged". This table likely connects to other tables
    to provide context for customer returns or order problems.
  columns:
  - name: reason_surrogate_key
    description: Surrogate key for the reason
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key for the reason. For this table, each
        row represents a specific reason for returns or issues. As a surrogate key,
        it is designed to be unique across rows and can serve as an identifier for
        each reason.
  - name: reason_id
    description: Unique identifier for the reason
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is described as a unique identifier for the reason.
        For this table, each row represents a specific reason for returns or issues.
        Being a unique identifier, it should be unique across all rows and can serve
        as an identifier for each reason.
  - name: reason_description
    description: Description of the return or issue reason
    tests:
    - not_null
    - accepted_values:
        values:
        - Package was damaged
        - Wrong item received
        - Item missing from package
        - Item defective or not working
        - Item doesn't match description
        - Size or fit issue
        - Changed mind
        - Found better price elsewhere
        - Arrived too late
        - Unauthorized purchase
        - Packaging issue
        - Quality not as expected
        - Allergic reaction or safety concern

stg_customer (first 100 rows)

	customer_key	customer_id	current_address_key	salutation	first_name	last_name	birth_country	email_address	birth_day	birth_month	birth_year	current_demographics_key	current_household_key	first_sale_date_key	first_shipment_date_key	is_preferred_customer	last_review_date_key	login
0	1	AAAAAAAABAAAAAAA	946	Mr.	Javier	Lewis	CHILE	Javier.Lewis@VFAxlnZEvOx.org	9.0	12.0	1936.0	980124.0	7135.0	2452208.0	2452238.0	True	2452508.0	None
1	2	AAAAAAAACAAAAAAA	655	Dr.	Amy	Moses	TOGO	Amy.Moses@Ovk9KjHH.com	9.0	4.0	1966.0	819667.0	1461.0	2452288.0	2452318.0	True	2452318.0	None
2	3	AAAAAAAADAAAAAAA	572	Miss	Latisha	Hamilton	NIUE	Latisha.Hamilton@V.com	18.0	9.0	1979.0	1473522.0	6247.0	2449100.0	2449130.0	False	2452313.0	None
3	4	AAAAAAAAEAAAAAAA	558	Dr.	Michael	White	MEXICO	Michael.White@i.org	7.0	6.0	1983.0	1703214.0	3986.0	2450000.0	2450030.0	False	2452361.0	None
4	5	AAAAAAAAFAAAAAAA	368	Sir	Robert	Moran	FIJI	Robert.Moran@Hh.edu	8.0	5.0	1956.0	953372.0	4470.0	2449408.0	2449438.0	False	2452469.0	None
5	6	AAAAAAAAGAAAAAAA	82	Ms.	Brunilda	Sharp	SURINAME	Brunilda.Sharp@T3pylZEUQjm.org	4.0	12.0	1925.0	213219.0	6374.0	2451853.0	2451883.0	False	2452430.0	None
6	7	AAAAAAAAHAAAAAAA	814	Ms.	Fonda	Wiles	GAMBIA	Fonda.Wiles@S9KnyEtz9hv.org	24.0	4.0	1985.0	68377.0	3219.0	2451408.0	2451438.0	True	2452360.0	None
7	8	AAAAAAAAIAAAAAAA	598	Sir	Ollie	Shipman	SOUTH KOREA	Ollie.Shipman@be.org	26.0	12.0	1938.0	1215897.0	2471.0	2449376.0	2449406.0	False	2452334.0	None
8	9	AAAAAAAAJAAAAAAA	388	Sir	Karl	Gilbert	MONTSERRAT	Karl.Gilbert@Crg5KyP2IxX9C4d6.edu	26.0	10.0	1966.0	1168667.0	1404.0	2452245.0	2452275.0	False	2452454.0	None
9	10	AAAAAAAAKAAAAAAA	580	Ms.	Albert	Brunson	JORDAN	Albert.Brunson@62.com	15.0	10.0	1973.0	1207553.0	5143.0	2451323.0	2451353.0	False	2452641.0	None
10	11	AAAAAAAALAAAAAAA	999	Ms.	Betty	Williams	BURKINA FASO	Betty.Williams@xRtDqM1eLBVQNoYAJ.com	18.0	12.0	1963.0	1114415.0	6807.0	2452258.0	2452288.0	False	2452398.0	None
11	12	AAAAAAAAMAAAAAAA	366	Ms.	Margaret	Farias	TURKMENISTAN	Margaret.Farias@cb.edu	2.0	6.0	1956.0	502141.0	6577.0	2451009.0	2451039.0	False	2452634.0	None
12	13	AAAAAAAANAAAAAAA	6	Mrs.	Rosalinda	Grimes	UKRAINE	Rosalinda.Grimes@tC8pcU7Lt.edu	1.0	3.0	1970.0	1128748.0	2777.0	2449628.0	2449658.0	False	2452616.0	None
13	14	AAAAAAAAOAAAAAAA	440	Mr.	Jack	Wilcox	SLOVENIA	Jack.Wilcox@Y3Etqyv3.org	30.0	3.0	1937.0	929344.0	892.0	2450288.0	2450318.0	False	2452641.0	None
14	15	AAAAAAAAPAAAAAAA	469	Ms.	Tonya	None	None	None	NaN	12.0	1969.0	NaN	134.0	2449010.0	NaN	NaN	2452376.0	None
15	16	AAAAAAAAABAAAAAA	302	Dr.	Margie	Browning	PHILIPPINES	Margie.Browning@LM674NrE2.org	24.0	12.0	1933.0	1196373.0	3014.0	2451316.0	2451346.0	False	2452573.0	None
16	17	AAAAAAAABBAAAAAA	228	Dr.	Lee	Stovall	PHILIPPINES	Lee.Stovall@fqKC83UU0f.org	23.0	12.0	1972.0	707524.0	3876.0	2451038.0	2451068.0	False	2452454.0	None
17	18	AAAAAAAACBAAAAAA	456	Sir	Brad	Lynch	URUGUAY	Brad.Lynch@nAbai.edu	1.0	9.0	1950.0	1361151.0	6580.0	2450011.0	2450041.0	True	2452549.0	None
18	19	AAAAAAAADBAAAAAA	581	Dr.	Andre	Moore	NICARAGUA	Andre.Moore@cTZLGYi1ZJi.org	20.0	10.0	1978.0	1161742.0	4238.0	2449550.0	2449580.0	False	2452576.0	None
19	20	AAAAAAAAEBAAAAAA	966	Mr.	Stanton	Dallas	SWITZERLAND	Stanton.Dallas@DBXgl18FGo.edu	17.0	5.0	1976.0	1185612.0	89.0	2450935.0	2450965.0	True	2452334.0	None
20	21	AAAAAAAAFBAAAAAA	979	Miss	Naomi	Barnett	BAHAMAS	Naomi.Barnett@2T3V3OZOy4KBNAHsT.edu	18.0	5.0	1956.0	442697.0	6538.0	2451797.0	2451827.0	False	2452433.0	None
21	22	AAAAAAAAGBAAAAAA	467	Sir	Victor	Martinez	CAYMAN ISLANDS	Victor.Martinez@fC.edu	21.0	12.0	1991.0	490494.0	4504.0	2451435.0	2451465.0	False	2452529.0	None
22	23	AAAAAAAAHBAAAAAA	686	Sir	None	Garrison	None	Earl.Garrison@G3sM4P.com	NaN	5.0	NaN	NaN	2107.0	2450982.0	2451012.0	False	NaN	None
23	24	AAAAAAAAIBAAAAAA	291	Dr.	Paul	Morris	GUINEA-BISSAU	Paul.Morris@FMGalegqc3.com	6.0	6.0	1951.0	17113.0	1102.0	2450068.0	2450098.0	True	2452499.0	None
24	25	AAAAAAAAJBAAAAAA	933	Miss	Nancy	Mccormick	BAHAMAS	Nancy.Mccormick@DA26I9ZArLF9rxJ6Z.edu	6.0	10.0	1973.0	476176.0	3278.0	2449216.0	2449246.0	False	2452425.0	None
25	26	AAAAAAAAKBAAAAAA	206	Ms.	Monique	Baker	MOROCCO	Monique.Baker@9uEucNczY.org	14.0	6.0	1991.0	230278.0	1242.0	2449786.0	2449816.0	False	2452356.0	None
26	27	AAAAAAAALBAAAAAA	96	Dr.	Shawn	Prather	PUERTO RICO	Shawn.Prather@8BusRYegn6.org	7.0	3.0	1972.0	111621.0	835.0	2450581.0	2450611.0	False	2452353.0	None
27	28	AAAAAAAAMBAAAAAA	480	Miss	Edith	Hernandez	IVORY COAST	Edith.Hernandez@BNHL0k.com	17.0	8.0	1959.0	889961.0	897.0	2452585.0	2452615.0	True	2452631.0	None
28	29	AAAAAAAANBAAAAAA	139	Ms.	Margaret	Collins	NETHERLANDS ANTILLES	Margaret.Collins@9obPr3UV.org	25.0	8.0	1973.0	1634269.0	1204.0	2452186.0	2452216.0	True	2452496.0	None
29	30	AAAAAAAAOBAAAAAA	459	Dr.	Pamela	Luna	GUAM	Pamela.Luna@QBGuhL36lnA.edu	4.0	7.0	1956.0	84232.0	5869.0	2449886.0	2449916.0	True	2452410.0	None
30	31	AAAAAAAAPBAAAAAA	128	Dr.	William	Craig	SPAIN	William.Craig@prVDE1E8AHc.org	13.0	6.0	1964.0	1275120.0	5724.0	2452024.0	2452054.0	False	2452336.0	None
31	32	AAAAAAAAACAAAAAA	290	Dr.	Kenneth	Wood	MOLDOVA	Kenneth.Wood@RIA.edu	2.0	8.0	1927.0	1369589.0	6163.0	2449441.0	2449471.0	False	2452510.0	None
32	33	AAAAAAAABCAAAAAA	438	Mrs.	Donna	Betts	FRANCE	Donna.Betts@YJ14k.edu	25.0	3.0	1958.0	1680761.0	5823.0	2451542.0	2451572.0	True	2452455.0	None
33	34	AAAAAAAACCAAAAAA	501	None	None	Woods	None	Brandon.Woods@hjKbf.edu	NaN	NaN	NaN	NaN	NaN	2452162.0	2452192.0	NaN	2452408.0	None
34	35	AAAAAAAADCAAAAAA	231	Dr.	Marie	Peterson	KIRIBATI	Marie.Peterson@1zg9tydFHafA5.com	19.0	6.0	1953.0	339036.0	2057.0	2451907.0	2451937.0	False	2452581.0	None
35	36	AAAAAAAAECAAAAAA	585	Dr.	Anthony	Fisher	KYRGYZSTAN	Anthony.Fisher@jJrZfeDcz8P.com	29.0	11.0	1968.0	655414.0	2223.0	2449192.0	2449222.0	False	2452470.0	None
36	37	AAAAAAAAFCAAAAAA	943	Dr.	Dwight	Schneider	RUSSIA	Dwight.Schneider@koxO7zAysvOd.com	9.0	1.0	1949.0	827972.0	2281.0	2449818.0	2449848.0	True	2452293.0	None
37	38	AAAAAAAAGCAAAAAA	360	Mrs.	Ha	Carpenter	PARAGUAY	Ha.Carpenter@XgcUt4svNz.com	30.0	3.0	1939.0	766645.0	3879.0	2450293.0	2450323.0	True	2452351.0	None
38	39	AAAAAAAAHCAAAAAA	844	Sir	Neil	Cox	ECUADOR	Neil.Cox@FRuR2bFK.com	14.0	12.0	1951.0	1617182.0	4013.0	2452101.0	2452131.0	False	2452586.0	None
39	40	AAAAAAAAICAAAAAA	45	None	Jacqueline	Hatfield	None	None	26.0	NaN	1942.0	1795301.0	NaN	NaN	2451159.0	NaN	NaN	None
40	41	AAAAAAAAJCAAAAAA	316	Miss	Maxine	Carlson	ISLE OF MAN	Maxine.Carlson@StyP5lAokmQ29QHYMLa.edu	26.0	6.0	1939.0	941420.0	5068.0	2449959.0	2449989.0	False	2452464.0	None
41	42	AAAAAAAAKCAAAAAA	277	Dr.	Deborah	Burton	COMOROS	Deborah.Burton@xt.edu	17.0	1.0	1950.0	1867377.0	3327.0	2449839.0	2449869.0	False	2452498.0	None
42	43	AAAAAAAALCAAAAAA	743	Mr.	William	Warner	GUAM	William.Warner@zegnrzurU.org	5.0	12.0	1965.0	385562.0	3676.0	2451675.0	2451705.0	True	2452537.0	None
43	44	AAAAAAAAMCAAAAAA	296	Miss	Mabel	Richmond	CAMBODIA	Mabel.Richmond@Tkla.edu	7.0	12.0	1932.0	497758.0	5427.0	2449720.0	2449750.0	True	2452333.0	None
44	45	AAAAAAAANCAAAAAA	777	None	None	Hammonds	NIGER	None	5.0	NaN	NaN	1036174.0	2399.0	2451088.0	2451118.0	NaN	NaN	None
45	46	AAAAAAAAOCAAAAAA	386	Mrs.	Jane	Stephenson	TURKEY	Jane.Stephenson@lq8ZQLAUMZhR.edu	13.0	4.0	1990.0	843672.0	4729.0	2451827.0	2451857.0	True	2452301.0	None
46	47	AAAAAAAAPCAAAAAA	469	Mr.	Luis	Young	BRUNEI	Luis.Young@0DmV.edu	3.0	12.0	1982.0	1634314.0	5368.0	2449135.0	2449165.0	False	2452586.0	None
47	48	AAAAAAAAADAAAAAA	252	Ms.	Jill	Jackson	LUXEMBOURG	Jill.Jackson@n6I7SF.org	15.0	9.0	1961.0	8817.0	311.0	2449501.0	2449531.0	False	2452575.0	None
48	49	AAAAAAAABDAAAAAA	581	Mr.	Steven	Venable	NETHERLANDS ANTILLES	Steven.Venable@0hA90vhfK7k9F4h.com	13.0	6.0	1961.0	936800.0	1514.0	2449334.0	2449364.0	False	2452350.0	None
49	50	AAAAAAAACDAAAAAA	567	Mr.	Christopher	Eller	AUSTRALIA	Christopher.Eller@gV5Ua7HOmt.com	24.0	11.0	1965.0	759177.0	72.0	2449354.0	2449384.0	False	2452520.0	None
50	51	AAAAAAAADDAAAAAA	688	Dr.	David	Nieves	CHRISTMAS ISLAND	David.Nieves@LcDkQ.edu	5.0	10.0	1926.0	532799.0	6920.0	2452360.0	2452390.0	False	2452570.0	None
51	52	AAAAAAAAEDAAAAAA	128	Mrs.	Wendy	Colley	FRENCH GUIANA	Wendy.Colley@qLBjqbAQQGj.edu	1.0	4.0	1982.0	534808.0	4768.0	2451391.0	2451421.0	False	2452553.0	None
52	53	AAAAAAAAFDAAAAAA	439	Mr.	Paul	Higgins	GABON	Paul.Higgins@qG9NrSTLz9HaNHX.edu	23.0	9.0	1950.0	1597348.0	7017.0	2451790.0	2451820.0	True	2452447.0	None
53	54	AAAAAAAAGDAAAAAA	660	Ms.	Donna	King	TUNISIA	Donna.King@TEftU.com	3.0	2.0	1940.0	380102.0	2381.0	2449950.0	2449980.0	True	2452446.0	None
54	55	AAAAAAAAHDAAAAAA	256	Dr.	Beryl	Thomason	UNITED KINGDOM	Beryl.Thomason@OeqefhtCmZTAj.com	12.0	8.0	1933.0	783093.0	1151.0	2451509.0	2451539.0	False	2452380.0	None
55	56	AAAAAAAAIDAAAAAA	524	Miss	Pamela	Delgado	GUERNSEY	Pamela.Delgado@8OpV0Ldj8vq2K9ZK.org	29.0	1.0	1960.0	344460.0	3092.0	2451394.0	2451424.0	False	2452334.0	None
56	57	AAAAAAAAJDAAAAAA	571	Mr.	Travis	Melendez	AFGHANISTAN	Travis.Melendez@344rCMk.edu	10.0	3.0	1961.0	752932.0	128.0	2449711.0	2449741.0	True	2452606.0	None
57	58	AAAAAAAAKDAAAAAA	155	Mr.	Cecil	Peterman	ICELAND	Cecil.Peterman@tbeqEuUvS4ZM4Px9N.com	29.0	2.0	1988.0	528756.0	6879.0	2451356.0	2451386.0	True	2452447.0	None
58	59	AAAAAAAALDAAAAAA	683	Miss	Melanie	Morrison	HUNGARY	Melanie.Morrison@F2foqn.edu	6.0	1.0	1947.0	1895444.0	4787.0	2451127.0	2451157.0	False	2452530.0	None
59	60	AAAAAAAAMDAAAAAA	282	Ms.	Dollie	Thao	SWITZERLAND	Dollie.Thao@Xead5vagsekdHDLUkv.edu	15.0	7.0	1990.0	1179671.0	3200.0	2449684.0	2449714.0	False	2452407.0	None
60	61	AAAAAAAANDAAAAAA	688	Sir	Joseph	White	SENEGAL	Joseph.White@c0EJ7pimuu.com	6.0	5.0	1978.0	1620078.0	6683.0	2451106.0	2451136.0	True	2452462.0	None
61	62	AAAAAAAAODAAAAAA	413	Mr.	Matthew	Brown	SOUTH KOREA	Matthew.Brown@F.edu	1.0	6.0	1973.0	821787.0	4700.0	2451824.0	2451854.0	True	2452319.0	None
62	63	AAAAAAAAPDAAAAAA	716	Dr.	Frank	Morton	EGYPT	Frank.Morton@Hd7jNaA3s.com	26.0	4.0	1943.0	1790374.0	2445.0	2450149.0	2450179.0	False	2452425.0	None
63	64	AAAAAAAAAEAAAAAA	930	Dr.	Michael	Frye	CAPE VERDE	Michael.Frye@aM1HsbOs0smgpLo.org	27.0	6.0	1941.0	1260191.0	6284.0	2452349.0	2452379.0	False	2452426.0	None
64	65	AAAAAAAABEAAAAAA	584	Dr.	Rodney	Taft	US VIRGIN ISLANDS	Rodney.Taft@qe.com	18.0	9.0	1991.0	1778884.0	2234.0	2451868.0	2451898.0	False	2452353.0	None
65	66	AAAAAAAACEAAAAAA	882	Ms.	Julie	Chester	HONG KONG	Julie.Chester@Kv.com	8.0	9.0	1950.0	747190.0	6036.0	2449264.0	2449294.0	False	2452375.0	None
66	67	AAAAAAAADEAAAAAA	970	Dr.	Gerald	Thomas	NORWAY	Gerald.Thomas@zSuIGSgb6iyu.org	27.0	10.0	1948.0	1118294.0	2032.0	2452003.0	2452033.0	False	2452414.0	None
67	68	AAAAAAAAEEAAAAAA	126	Dr.	Arthur	Troy	LUXEMBOURG	Arthur.Troy@3VY5bV30AifrO.com	20.0	8.0	1928.0	779965.0	6069.0	2451906.0	2451936.0	True	2452542.0	None
68	69	AAAAAAAAFEAAAAAA	366	Sir	Steven	Mcclellan	NEPAL	Steven.Mcclellan@UviyOLnu2m1POo.edu	15.0	1.0	1950.0	971368.0	4167.0	2450124.0	2450154.0	True	2452340.0	None
69	70	AAAAAAAAGEAAAAAA	102	Sir	James	Smith	KUWAIT	James.Smith@ifJngGlNG.edu	7.0	12.0	1963.0	1460929.0	5492.0	2451914.0	2451944.0	False	2452342.0	None
70	71	AAAAAAAAHEAAAAAA	450	Mr.	Roderick	Rogers	OMAN	Roderick.Rogers@pJdioQ.com	4.0	11.0	1967.0	1292064.0	2257.0	2450218.0	2450248.0	False	2452462.0	None
71	72	AAAAAAAAIEAAAAAA	390	Dr.	Bradley	Barry	TAJIKISTAN	Bradley.Barry@Kq2ONpEXU9YSno31.edu	21.0	3.0	1937.0	1608738.0	6364.0	2451670.0	2451700.0	True	2452601.0	None
72	73	AAAAAAAAJEAAAAAA	369	Mr.	David	Vasquez	ISRAEL	David.Vasquez@j.org	17.0	4.0	1956.0	425740.0	431.0	2449103.0	2449133.0	False	2452489.0	None
73	74	AAAAAAAAKEAAAAAA	269	Sir	Eric	Woods	SAINT LUCIA	Eric.Woods@CfPzy1AUqxd2.com	19.0	2.0	1953.0	1434225.0	347.0	2452611.0	2452641.0	True	2452584.0	None
74	75	AAAAAAAALEAAAAAA	730	Dr.	Annie	Grant	TUVALU	Annie.Grant@tccug5KC1oT2nL.com	25.0	5.0	1925.0	1888603.0	143.0	2451725.0	2451755.0	True	2452401.0	None
75	76	AAAAAAAAMEAAAAAA	691	Mr.	Craig	Lowry	WALLIS AND FUTUNA	Craig.Lowry@92zokgx8duX.org	7.0	3.0	1946.0	526064.0	2054.0	2451730.0	2451760.0	True	2452430.0	None
76	77	AAAAAAAANEAAAAAA	154	Dr.	Darrin	Smith	UNITED STATES	Darrin.Smith@Mti.edu	30.0	5.0	1931.0	915180.0	2167.0	2451602.0	2451632.0	False	2452355.0	None
77	78	AAAAAAAAOEAAAAAA	264	Ms.	Wanda	Davis	NETHERLANDS ANTILLES	Wanda.Davis@I6s7DD86i6.edu	11.0	5.0	1940.0	1092537.0	3677.0	2449358.0	2449388.0	False	2452339.0	None
78	79	AAAAAAAAPEAAAAAA	539	Miss	Sandi	Tran	FRENCH GUIANA	Sandi.Tran@myikqStif1Q.edu	10.0	6.0	1937.0	389494.0	3493.0	2450833.0	2450863.0	True	2452644.0	None
79	80	AAAAAAAAAFAAAAAA	727	Mrs.	Eleanor	Evans	IVORY COAST	Eleanor.Evans@zxvr5rl.org	21.0	12.0	1948.0	1499808.0	3891.0	2450528.0	2450558.0	False	2452413.0	None
80	81	AAAAAAAABFAAAAAA	306	Ms.	Jessica	Levesque	ALBANIA	Jessica.Levesque@06mGqI9mHG.org	17.0	7.0	1940.0	728917.0	388.0	2452532.0	2452562.0	True	2452414.0	None
81	82	AAAAAAAACFAAAAAA	88	Sir	Max	Mueller	IRAQ	Max.Mueller@xqCZRBSrTGD6CBvXh.com	26.0	2.0	1947.0	75627.0	5081.0	2450327.0	2450357.0	False	2452303.0	None
82	83	AAAAAAAADFAAAAAA	824	Miss	Daisy	Flynn	NEW ZEALAND	Daisy.Flynn@288e6Z0csxJ.com	24.0	1.0	1943.0	976724.0	5574.0	2451002.0	2451032.0	False	2452338.0	None
83	84	AAAAAAAAEFAAAAAA	898	Mrs.	Ami	Montgomery	JAMAICA	Ami.Montgomery@VBSKqhL36j55.edu	2.0	5.0	1964.0	1250744.0	2821.0	2449466.0	2449496.0	True	2452526.0	None
84	85	AAAAAAAAFFAAAAAA	575	Miss	Michele	Baldwin	GEORGIA	Michele.Baldwin@sIVO1J4U.org	30.0	10.0	1978.0	1293499.0	37.0	2449838.0	2449868.0	True	2452491.0	None
85	86	AAAAAAAAGFAAAAAA	442	Dr.	Marvin	Matlock	BRUNEI	Marvin.Matlock@0FXEZp.org	21.0	10.0	1983.0	1428237.0	6963.0	2451530.0	2451560.0	True	2452633.0	None
86	87	AAAAAAAAHFAAAAAA	30	Dr.	Kevin	White	BENIN	Kevin.White@x9oTPjEI6AdDQ7n4l.edu	2.0	7.0	1934.0	1452824.0	1427.0	2449374.0	2449404.0	False	2452492.0	None
87	88	AAAAAAAAIFAAAAAA	687	Dr.	Phyllis	Horner	UZBEKISTAN	Phyllis.Horner@uQy.edu	20.0	8.0	1965.0	495575.0	131.0	2450961.0	2450991.0	False	2452403.0	None
88	89	AAAAAAAAJFAAAAAA	318	Mrs.	Helen	Macdonald	DOMINICA	Helen.Macdonald@3d4.com	15.0	3.0	1981.0	694848.0	5383.0	2451395.0	2451425.0	True	2452626.0	None
89	90	AAAAAAAAKFAAAAAA	139	Mr.	Nathan	Pond	GUYANA	Nathan.Pond@nPh7drM687MhI.org	7.0	5.0	1985.0	417827.0	5083.0	2451464.0	2451494.0	True	2452637.0	None
90	91	AAAAAAAALFAAAAAA	906	Miss	Heather	White	MARTINIQUE	Heather.White@3JitjmxYQnXAtCNAl.com	28.0	3.0	1962.0	827176.0	2441.0	2450376.0	2450406.0	True	2452295.0	None
91	92	AAAAAAAAMFAAAAAA	211	Miss	Crystal	Ryan	ECUADOR	Crystal.Ryan@Ju2rO6u.com	8.0	2.0	1973.0	953084.0	5771.0	2452552.0	2452582.0	True	2452294.0	None
92	93	AAAAAAAANFAAAAAA	836	Sir	Clyde	Williams	FRENCH POLYNESIA	Clyde.Williams@en.com	6.0	10.0	1927.0	647375.0	6229.0	2449311.0	2449341.0	False	2452510.0	None
93	94	AAAAAAAAOFAAAAAA	287	Mr.	Craig	Byrd	FRENCH POLYNESIA	Craig.Byrd@Dc0OEMXkvvuJ.com	14.0	5.0	1982.0	451893.0	1990.0	2449523.0	2449553.0	True	2452445.0	None
94	95	AAAAAAAAPFAAAAAA	23	Ms.	Elizabeth	Hollingsworth	GREECE	Elizabeth.Hollingsworth@lVpeDS5Rcs.com	17.0	4.0	1943.0	796503.0	1663.0	2452438.0	2452468.0	False	2452584.0	None
95	96	AAAAAAAAAGAAAAAA	611	Sir	Shaun	Lewis	NIGERIA	Shaun.Lewis@MTRUPYFTXf9.com	22.0	10.0	1955.0	1148074.0	6019.0	2451475.0	2451505.0	False	2452395.0	None
96	97	AAAAAAAABGAAAAAA	41	Mr.	Stewart	Ruffin	MYANMAR	Stewart.Ruffin@R7Mrx.edu	19.0	5.0	1971.0	418763.0	102.0	2452437.0	2452467.0	True	2452528.0	None
97	98	AAAAAAAACGAAAAAA	853	Dr.	David	Lewis	KIRIBATI	David.Lewis@5mhvq.org	23.0	6.0	1965.0	574977.0	1615.0	2450864.0	2450894.0	False	2452558.0	None
98	99	AAAAAAAADGAAAAAA	228	Sir	Austin	Tran	NAMIBIA	Austin.Tran@ect7cnjLsucbd.edu	9.0	12.0	1961.0	622676.0	2152.0	2451657.0	2451687.0	True	2452437.0	None

stg_customer.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"customer_renamed" AS (
    -- Rename: Renaming columns
    -- C_CUSTOMER_SK -> customer_key
    -- C_CUSTOMER_ID -> customer_id
    -- C_CURRENT_CDEMO_SK -> current_demographics_key
    -- C_CURRENT_HDEMO_SK -> current_household_key
    -- C_CURRENT_ADDR_SK -> current_address_key
    -- C_FIRST_SHIPTO_DATE_SK -> first_shipment_date_key
    -- C_FIRST_SALES_DATE_SK -> first_sale_date_key
    -- C_SALUTATION -> salutation
    -- C_FIRST_NAME -> first_name
    -- C_LAST_NAME -> last_name
    -- C_PREFERRED_CUST_FLAG -> is_preferred_customer
    -- C_BIRTH_DAY -> birth_day
    -- C_BIRTH_MONTH -> birth_month
    -- C_BIRTH_YEAR -> birth_year
    -- C_BIRTH_COUNTRY -> birth_country
    -- C_LOGIN -> login
    -- C_EMAIL_ADDRESS -> email_address
    -- C_LAST_REVIEW_DATE_SK -> last_review_date_key
    SELECT 
        "C_CUSTOMER_SK" AS "customer_key",
        "C_CUSTOMER_ID" AS "customer_id",
        "C_CURRENT_CDEMO_SK" AS "current_demographics_key",
        "C_CURRENT_HDEMO_SK" AS "current_household_key",
        "C_CURRENT_ADDR_SK" AS "current_address_key",
        "C_FIRST_SHIPTO_DATE_SK" AS "first_shipment_date_key",
        "C_FIRST_SALES_DATE_SK" AS "first_sale_date_key",
        "C_SALUTATION" AS "salutation",
        "C_FIRST_NAME" AS "first_name",
        "C_LAST_NAME" AS "last_name",
        "C_PREFERRED_CUST_FLAG" AS "is_preferred_customer",
        "C_BIRTH_DAY" AS "birth_day",
        "C_BIRTH_MONTH" AS "birth_month",
        "C_BIRTH_YEAR" AS "birth_year",
        "C_BIRTH_COUNTRY" AS "birth_country",
        "C_LOGIN" AS "login",
        "C_EMAIL_ADDRESS" AS "email_address",
        "C_LAST_REVIEW_DATE_SK" AS "last_review_date_key"
    FROM "customer"
),

"customer_renamed_cleaned" AS (
    -- Clean unusual string values: 
    -- birth_country: The main problems are inconsistent country naming conventions and unusual apostrophes. The correct values should use standard English country names without special characters. "CÔTE D'IVOIRE" should be "IVORY COAST", and "KOREA, REPUBLIC OF" should be "SOUTH KOREA" to align with common naming conventions. Other country names are generally acceptable but could be standardized for consistency (e.g., removing "REPUBLIC OF" from names). 
    SELECT
        "customer_key",
        "customer_id",
        "current_demographics_key",
        "current_household_key",
        "current_address_key",
        "first_shipment_date_key",
        "first_sale_date_key",
        "salutation",
        "first_name",
        "last_name",
        "is_preferred_customer",
        "birth_day",
        "birth_month",
        "birth_year",
        CASE
            WHEN "birth_country" = 'CÔTE D''IVOIRE' THEN 'IVORY COAST'
            WHEN "birth_country" = 'KOREA, REPUBLIC OF' THEN 'SOUTH KOREA'
            WHEN "birth_country" = 'BRUNEI DARUSSALAM' THEN 'BRUNEI'
            WHEN "birth_country" = 'MOLDOVA, REPUBLIC OF' THEN 'MOLDOVA'
            WHEN "birth_country" = 'VIRGIN ISLANDS, U.S.' THEN 'US VIRGIN ISLANDS'
            WHEN "birth_country" = 'RUSSIAN FEDERATION' THEN 'RUSSIA'
            ELSE "birth_country"
        END AS "birth_country",
        "login",
        "email_address",
        "last_review_date_key"
    FROM "customer_renamed"
),

"customer_renamed_cleaned_casted" AS (
    -- Column Type Casting: 
    -- birth_day: from DECIMAL to INT
    -- birth_month: from DECIMAL to INT
    -- birth_year: from DECIMAL to INT
    -- current_demographics_key: from DECIMAL to INT
    -- current_household_key: from DECIMAL to INT
    -- first_sale_date_key: from DECIMAL to INT
    -- first_shipment_date_key: from DECIMAL to INT
    -- is_preferred_customer: from VARCHAR to BOOLEAN
    -- last_review_date_key: from DECIMAL to INT
    -- login: from DECIMAL to VARCHAR
    SELECT
        "customer_key",
        "customer_id",
        "current_address_key",
        "salutation",
        "first_name",
        "last_name",
        "birth_country",
        "email_address",
        CAST("birth_day" AS INT) AS "birth_day",
        CAST("birth_month" AS INT) AS "birth_month",
        CAST("birth_year" AS INT) AS "birth_year",
        CAST("current_demographics_key" AS INT) AS "current_demographics_key",
        CAST("current_household_key" AS INT) AS "current_household_key",
        CAST("first_sale_date_key" AS INT) AS "first_sale_date_key",
        CAST("first_shipment_date_key" AS INT) AS "first_shipment_date_key",
        CAST(CASE WHEN "is_preferred_customer" = 'Y' THEN TRUE WHEN "is_preferred_customer" = 'N' THEN FALSE ELSE NULL END AS BOOLEAN) AS "is_preferred_customer",
        CAST("last_review_date_key" AS INT) AS "last_review_date_key",
        CAST("login" AS VARCHAR) AS "login"
    FROM "customer_renamed_cleaned"
)

-- COCOON BLOCK END
SELECT * FROM "customer_renamed_cleaned_casted"

stg_customer.yml (Document the table)

version: 2
models:
- name: stg_customer
  description: The table is about customer details. It contains personal information
    like name, birth date, and country. It also includes customer-specific data such
    as customer ID, preferred status, and login details. The table tracks important
    dates related to customer interactions, like first shipment and sales dates, and
    last review date. Each customer has a unique identifier (C_CUSTOMER_SK) and various
    demographic keys for further categorization.
  columns:
  - name: customer_key
    description: Customer surrogate key
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key for the customer. For this table,
        each row represents a unique customer, and customer_key is likely to be unique
        across rows as it's designed to be a primary identifier.
  - name: customer_id
    description: Unique identifier for the customer
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is described as a unique identifier for the customer.
        For this table, each row represents a unique customer, and customer_id is
        likely to be unique across rows.
  - name: current_address_key
    description: Current address surrogate key
    tests:
    - not_null
  - name: salutation
    description: Customer's formal greeting or title
    tests:
    - not_null
    - accepted_values:
        values:
        - Dr.
        - Mr.
        - Ms.
        - Sir
        - Miss
        - Mrs.
        - Mx.
        - Prof.
        - Rev.
        - Lady
        - Lord
        - Dame
        - Madam
  - name: first_name
    description: Customer's first name
    tests:
    - not_null
  - name: last_name
    description: Customer's last name
    tests:
    - not_null
  - name: birth_country
    description: Country where the customer was born
    tests:
    - not_null
  - name: email_address
    description: Customer's email address
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column represents the customer's email address. In most systems,
        email addresses are required to be unique for each customer account. Assuming
        this is the case here, it could serve as a candidate key.
  - name: birth_day
    description: Day of the month the customer was born
    tests:
    - not_null
  - name: birth_month
    description: Month the customer was born
    tests:
    - not_null
  - name: birth_year
    description: Year the customer was born
    tests:
    - not_null
  - name: current_demographics_key
    description: Current customer demographics surrogate key
    tests:
    - not_null
  - name: current_household_key
    description: Current household demographics surrogate key
    tests:
    - not_null
  - name: first_sale_date_key
    description: Date of customer's first sale
    tests:
    - not_null
  - name: first_shipment_date_key
    description: Date of customer's first shipment
    tests:
    - not_null
  - name: is_preferred_customer
    description: Indicates if customer is preferred
    tests:
    - not_null
  - name: last_review_date_key
    description: Date of customer's last review
    tests:
    - not_null
  - name: login
    description: Customer's login information
    cocoon_meta:
      missing_acceptable: Not all customers may require or choose to have a login.

stg_customer_address (first 100 rows)

	address_surrogate_key	address_id	street_number	street_type	suite_number	city	county	state	zip_code	country	gmt_offset	residence_type	street_name
0	1	AAAAAAAABAAAAAAA	18.0	Parkway	Suite 280	Fairfield	Maricopa County	AZ	86192.0	United States	-7.0	condo	Jackson
1	2	AAAAAAAACAAAAAAA	362.0	Road	Suite 80	Fairview	Taos County	NM	85709.0	United States	-7.0	condo	Washington and 6th
2	3	AAAAAAAADAAAAAAA	585.0	Circle	Suite Q	Pleasant Valley	York County	PA	12477.0	United States	-5.0	single family	Washington
3	4	AAAAAAAAEAAAAAAA	111.0	Way	Suite A	Oak Ridge	Kit Carson County	CO	88371.0	United States	-7.0	condo	Smith
4	5	AAAAAAAAFAAAAAAA	31.0	Boulevard	Suite 180	Glendale	Barry County	MO	63951.0	United States	-6.0	single family	College
5	6	AAAAAAAAGAAAAAAA	59.0	Parkway	Suite 100	Lakeview	Chelan County	WA	98579.0	United States	-8.0	single family	Williams and Sixth
6	7	AAAAAAAAHAAAAAAA	NaN	Road	Suite U	Farmington	None	None	39145.0	United States	NaN	None	7th
7	8	AAAAAAAAIAAAAAAA	875.0	Court	Suite Y	Union	Bledsoe County	TN	38721.0	United States	-5.0	apartment	Lincoln
8	9	AAAAAAAAJAAAAAAA	819.0	Avenue	Suite 70	New Hope	Perry County	AL	39431.0	United States	-6.0	condo	1st
9	10	AAAAAAAAKAAAAAAA	851.0	Street	Suite Y	Martinsville	Haines Borough	AK	90419.0	United States	-9.0	condo	Woodland and Poplar
10	11	AAAAAAAALAAAAAAA	189.0	Street	Suite 470	Maple Grove	Madison County	MT	68252.0	United States	-7.0	single family	13th
11	12	AAAAAAAAMAAAAAAA	76.0	Court	Suite O	Edgewood	Mifflin County	PA	10069.0	United States	-5.0	apartment	8th
12	13	AAAAAAAANAAAAAAA	424.0	Lane	Suite 130	Greenville	Noxubee County	MS	51387.0	United States	-6.0	single family	Main and Second
13	14	AAAAAAAAOAAAAAAA	923.0	Drive	Suite 100	None	Lipscomb County	TX	77752.0	None	-6.0	None	Pine and Oak
14	15	AAAAAAAAPAAAAAAA	314.0	Court	Suite B	Oakland	Washington County	OH	49843.0	United States	-5.0	apartment	Spring
15	16	AAAAAAAAABAAAAAA	576.0	Street	Suite J	Valley View	Oldham County	TX	75124.0	United States	-6.0	condo	Adams Center
16	17	AAAAAAAABBAAAAAA	801.0	Drive	Suite 0	Montpelier	Richland County	OH	48930.0	United States	-5.0	single family	Green
17	18	AAAAAAAACBAAAAAA	460.0	Court	Suite 480	Somerville	Potter County	SD	57783.0	United States	-7.0	condo	Maple and Spruce
18	19	AAAAAAAADBAAAAAA	611.0	Way	Suite O	Oakdale	Tangipahoa Parish	LA	79584.0	United States	-6.0	apartment	Wilson
19	20	AAAAAAAAEBAAAAAA	675.0	Street	Suite I	Hopewell	Williams County	OH	40587.0	United States	-5.0	condo	Wilson
20	21	AAAAAAAAFBAAAAAA	294.0	Avenue	Suite 390	Springfield	Marshall County	SD	59303.0	United States	-7.0	condo	Jefferson
21	22	AAAAAAAAGBAAAAAA	874.0	Avenue	Suite N	Green Acres	Perkins County	NE	67683.0	United States	-7.0	single family	Park and Second
22	23	AAAAAAAAHBAAAAAA	230.0	Drive	Suite U	Newtown	Jewell County	KS	61749.0	United States	-6.0	single family	6th
23	24	AAAAAAAAIBAAAAAA	837.0	Street	Suite 200	Fairfield	Marin County	CA	96192.0	United States	-8.0	single family	4th
24	25	AAAAAAAAJBAAAAAA	986.0	Boulevard	Suite F	Pleasant Grove	Coweta County	GA	34136.0	United States	-5.0	apartment	West East
25	26	AAAAAAAAKBAAAAAA	809.0	None	None	Springdale	Forsyth County	None	28883.0	None	-5.0	None	Central
26	27	AAAAAAAALBAAAAAA	649.0	Court	Suite 400	Cedar	Utah County	UT	81229.0	United States	-7.0	condo	Williams
27	28	AAAAAAAAMBAAAAAA	992.0	Avenue	Suite N	Oak Hill	Montrose County	CO	87838.0	United States	-7.0	condo	Birch
28	29	AAAAAAAANBAAAAAA	572.0	Parkway	Suite 160	Newport	Richland County	IL	61521.0	United States	-6.0	single family	11th
29	30	AAAAAAAAOBAAAAAA	748.0	Avenue	Suite M	Wildwood	Clark County	MO	66871.0	United States	-6.0	apartment	Oak
30	31	AAAAAAAAPBAAAAAA	291.0	Lane	Suite A	Forestville	Walworth County	SD	53027.0	United States	-7.0	condo	East
31	32	AAAAAAAAACAAAAAA	243.0	Way	Suite G	Oakland	Madison County	NC	29843.0	United States	-5.0	condo	8th
32	33	AAAAAAAABCAAAAAA	711.0	Avenue	Suite 10	Pine Grove	Sumter County	GA	34593.0	United States	-5.0	apartment	3rd
33	34	AAAAAAAACCAAAAAA	785.0	Avenue	Suite 40	Greenville	Russell County	VA	21387.0	United States	-5.0	condo	1st
34	35	AAAAAAAADCAAAAAA	814.0	Drive	Suite C	Waterloo	Henry County	VA	21675.0	United States	-5.0	single family	Washington and Main
35	36	AAAAAAAAECAAAAAA	648.0	Court	Suite 410	Lakeview	Lewis County	TN	38579.0	United States	-6.0	condo	South 15th
36	37	AAAAAAAAFCAAAAAA	999.0	Court	Suite 250	Sumner	Greenville County	SC	20519.0	United States	-5.0	single family	4th
37	38	AAAAAAAAGCAAAAAA	912.0	Drive	Suite 190	Plainview	Baca County	CO	83683.0	United States	-7.0	condo	Second and Hickory
38	39	AAAAAAAAHCAAAAAA	13.0	Court	Suite 280	Hamilton	Lee County	IA	52808.0	United States	-6.0	apartment	10th
39	40	AAAAAAAAICAAAAAA	369.0	Parkway	Suite H	Bridgeport	Ferry County	WA	95817.0	United States	-8.0	single family	2nd
40	41	AAAAAAAAJCAAAAAA	198.0	Road	Suite S	Oakland	Ouray County	CO	89843.0	United States	-7.0	apartment	Washington
41	42	AAAAAAAAKCAAAAAA	884.0	Court	Suite F	Riverside	Scott County	MS	59231.0	United States	-6.0	single family	Oak
42	43	AAAAAAAALCAAAAAA	762.0	Drive	Suite F	Sulphur Springs	Jefferson County	IL	68354.0	United States	-6.0	condo	Spring
43	44	AAAAAAAAMCAAAAAA	NaN	None	Suite 490	None	O-Brien County	None	58721.0	United States	-6.0	None	None
44	45	AAAAAAAANCAAAAAA	206.0	Street	Suite 120	Union	Washington County	ME	9321.0	United States	-5.0	apartment	4th
45	46	AAAAAAAAOCAAAAAA	995.0	Boulevard	Suite 120	Union Hill	Forrest County	MS	57746.0	United States	-6.0	single family	Oak
46	47	AAAAAAAAPCAAAAAA	776.0	Way	Suite 60	Pleasant Grove	Mercer County	KY	44136.0	United States	-5.0	apartment	Washington View
47	48	AAAAAAAAADAAAAAA	895.0	Lane	Suite 480	Salem	James City County	VA	28048.0	United States	-5.0	condo	Valley
48	49	AAAAAAAABDAAAAAA	583.0	Street	Suite 90	Fairfield	York County	ME	6792.0	United States	-5.0	apartment	2nd
49	50	AAAAAAAACDAAAAAA	190.0	Way	Suite D	Enterprise	Gray County	KS	61757.0	United States	-6.0	single family	7th
50	51	AAAAAAAADDAAAAAA	845.0	Parkway	Suite F	Green Acres	Hamblen County	TN	37683.0	United States	-5.0	single family	5th
51	52	AAAAAAAAEDAAAAAA	472.0	Street	Suite 60	Oakdale	Muskingum County	OH	49584.0	United States	-5.0	single family	Ridge Park
52	53	AAAAAAAAFDAAAAAA	884.0	Boulevard	Suite 440	Riverview	McPherson County	SD	59003.0	United States	-7.0	single family	College
53	54	AAAAAAAAGDAAAAAA	857.0	Boulevard	Suite V	Oak Hill	Martin County	NC	27838.0	United States	-5.0	single family	10th
54	55	AAAAAAAAHDAAAAAA	177.0	Way	Suite S	Ashland	Macomb County	MI	44244.0	United States	-5.0	condo	Lee Adams
55	56	AAAAAAAAIDAAAAAA	49.0	Way	Suite V	Woodland	Goodhue County	MN	54854.0	United States	-6.0	condo	Valley and 14th
56	57	AAAAAAAAJDAAAAAA	625.0	Road	Suite J	Enterprise	Bottineau County	ND	51757.0	United States	-6.0	single family	10th
57	58	AAAAAAAAKDAAAAAA	917.0	Parkway	Suite 230	Union Hill	Canyon County	ID	87746.0	United States	-7.0	single family	Miller and 15th
58	59	AAAAAAAALDAAAAAA	NaN	Court	None	Newtown	Valley County	MT	NaN	United States	-7.0	condo	None
59	60	AAAAAAAAMDAAAAAA	NaN	None	None	Forest Hills	Green County	KY	49237.0	None	NaN	apartment	Lee
60	61	AAAAAAAANDAAAAAA	159.0	Boulevard	Suite 20	Sulphur Springs	Laurel County	KY	48354.0	United States	-5.0	single family	Ridge
61	62	AAAAAAAAODAAAAAA	925.0	Lane	Suite 90	Riverdale	Lewis County	WV	29391.0	United States	-5.0	condo	Lincoln
62	63	AAAAAAAAPDAAAAAA	416.0	Drive	Suite A	Midway	Jewell County	KS	61904.0	United States	-6.0	single family	11th
63	64	AAAAAAAAAEAAAAAA	546.0	Circle	Suite 90	Macedonia	Trousdale County	TN	31087.0	United States	-6.0	apartment	Meadow
64	65	AAAAAAAABEAAAAAA	147.0	Road	Suite 460	Bethel	Iowa County	IA	55281.0	United States	-6.0	single family	4th
65	66	AAAAAAAACEAAAAAA	238.0	Road	Suite 470	Crossroads	Sioux County	NE	60534.0	United States	-7.0	single family	Pine
66	67	AAAAAAAADEAAAAAA	896.0	Street	Suite B	Flint	Van Buren County	IA	58909.0	United States	-6.0	single family	11th
67	68	AAAAAAAAEEAAAAAA	240.0	Street	Suite H	Summit	Bledsoe County	TN	30499.0	United States	-5.0	single family	Laurel
68	69	AAAAAAAAFEAAAAAA	37.0	Drive	Suite H	Glendale	Scott County	KY	43951.0	United States	-5.0	single family	Pine
69	70	AAAAAAAAGEAAAAAA	511.0	Parkway	Suite 210	White Oak	Union County	OH	46668.0	United States	-5.0	condo	14th
70	71	AAAAAAAAHEAAAAAA	38.0	Circle	Suite 370	Lakeview	Nottoway County	VA	28579.0	United States	-5.0	apartment	Ridge
71	72	AAAAAAAAIEAAAAAA	982.0	Boulevard	Suite 20	Richville	Cascade County	MT	65945.0	United States	-7.0	single family	Willow
72	73	AAAAAAAAJEAAAAAA	158.0	Road	Suite B	Cedar Grove	Kingman County	KS	60411.0	United States	-6.0	apartment	Green
73	74	AAAAAAAAKEAAAAAA	723.0	Boulevard	Suite C	Spring Hill	Wapello County	IA	56787.0	United States	-6.0	condo	Sycamore
74	75	AAAAAAAALEAAAAAA	32.0	Way	Suite 480	Valley View	Cleburne County	AL	35124.0	United States	-6.0	single family	Pine
75	76	AAAAAAAAMEAAAAAA	257.0	Drive	Suite 420	Shiloh	Menominee County	MI	49275.0	United States	-5.0	single family	Walnut South
76	77	AAAAAAAANEAAAAAA	151.0	Way	Suite U	Oak Grove	Thomas County	GA	38370.0	United States	-5.0	single family	Hill
77	78	AAAAAAAAOEAAAAAA	857.0	Boulevard	Suite 140	Green Acres	Potter County	SD	57683.0	United States	-7.0	single family	Railroad
78	79	AAAAAAAAPEAAAAAA	409.0	Circle	Suite U	Farmington	Wayne County	TN	39145.0	United States	-6.0	condo	Park and 7th
79	80	AAAAAAAAAFAAAAAA	298.0	Way	Suite J	Oakland	Grant County	KY	49843.0	United States	-6.0	condo	12th
80	81	AAAAAAAABFAAAAAA	953.0	Parkway	Suite 0	Union Hill	Brown County	TX	77746.0	United States	-6.0	condo	River and Spruce
81	82	AAAAAAAACFAAAAAA	97.0	Lane	Suite L	Buena Vista	Santa Clara County	CA	95752.0	United States	-8.0	single family	River and Main
82	83	AAAAAAAADFAAAAAA	410.0	Drive	Suite 20	Bethel	Nueces County	TX	75281.0	United States	-6.0	condo	Spring and Poplar
83	84	AAAAAAAAEFAAAAAA	886.0	Circle	Suite T	Warwick	Itawamba County	MS	51398.0	United States	-6.0	apartment	Sunset
84	85	AAAAAAAAFFAAAAAA	476.0	Avenue	Suite R	Five Points	Crawford County	PA	16098.0	United States	-5.0	single family	Willow
85	86	AAAAAAAAGFAAAAAA	699.0	Street	Suite O	Five Points	Pike County	KY	46098.0	United States	-5.0	single family	11th
86	87	AAAAAAAAHFAAAAAA	NaN	Lane	None	Maple Grove	Claiborne County	None	58252.0	None	NaN	apartment	6th
87	88	AAAAAAAAIFAAAAAA	104.0	Road	Suite W	Frogtown	Bay County	MI	48784.0	United States	-5.0	single family	9th
88	89	AAAAAAAAJFAAAAAA	440.0	Avenue	Suite 200	Lakeside	Solano County	CA	99532.0	United States	-8.0	apartment	7th
89	90	AAAAAAAAKFAAAAAA	892.0	Drive	Suite U	Centerville	Hettinger County	ND	50059.0	United States	-6.0	condo	North East
90	91	AAAAAAAALFAAAAAA	936.0	Way	None	Riverside	Murray County	None	NaN	United States	NaN	None	None
91	92	AAAAAAAAMFAAAAAA	734.0	Boulevard	Suite V	Newtown	Boise County	ID	81749.0	United States	-7.0	condo	Wilson
92	93	AAAAAAAANFAAAAAA	755.0	Road	Suite Q	Walnut Grove	Greenup County	KY	47752.0	United States	-6.0	apartment	Washington and Sunset
93	94	AAAAAAAAOFAAAAAA	NaN	None	None	Lakeside	Washington County	GA	NaN	None	NaN	None	None
94	95	AAAAAAAAPFAAAAAA	571.0	Lane	Suite M	Woodland	Thayer County	NE	64854.0	United States	-7.0	condo	River
95	96	AAAAAAAAAGAAAAAA	246.0	Road	Suite A	Oakdale	Fulton County	KY	49584.0	United States	-6.0	condo	Cedar
96	97	AAAAAAAABGAAAAAA	858.0	Way	Suite 320	Enterprise	Hardin County	TX	71757.0	United States	-6.0	single family	Sunset and Main
97	98	AAAAAAAACGAAAAAA	346.0	Road	Suite 370	Spring Hill	Labette County	KS	66787.0	United States	-6.0	condo	Walnut
98	99	AAAAAAAADGAAAAAA	222.0	Drive	Suite U	Wilson	Dickinson County	MI	46971.0	United States	-5.0	apartment	Park View

stg_customer_address.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"customer_address_renamed" AS (
    -- Rename: Renaming columns
    -- CA_ADDRESS_SK -> address_surrogate_key
    -- CA_ADDRESS_ID -> address_id
    -- CA_STREET_NUMBER -> street_number
    -- CA_STREET_NAME -> street_name
    -- CA_STREET_TYPE -> street_type
    -- CA_SUITE_NUMBER -> suite_number
    -- CA_CITY -> city
    -- CA_COUNTY -> county
    -- CA_STATE -> state
    -- CA_ZIP -> zip_code
    -- CA_COUNTRY -> country
    -- CA_GMT_OFFSET -> gmt_offset
    -- CA_LOCATION_TYPE -> residence_type
    SELECT 
        "CA_ADDRESS_SK" AS "address_surrogate_key",
        "CA_ADDRESS_ID" AS "address_id",
        "CA_STREET_NUMBER" AS "street_number",
        "CA_STREET_NAME" AS "street_name",
        "CA_STREET_TYPE" AS "street_type",
        "CA_SUITE_NUMBER" AS "suite_number",
        "CA_CITY" AS "city",
        "CA_COUNTY" AS "county",
        "CA_STATE" AS "state",
        "CA_ZIP" AS "zip_code",
        "CA_COUNTRY" AS "country",
        "CA_GMT_OFFSET" AS "gmt_offset",
        "CA_LOCATION_TYPE" AS "residence_type"
    FROM "customer_address"
),

"customer_address_renamed_trimmed" AS (
    -- Trim Leading and Trailing Spaces
    SELECT
        "address_surrogate_key",
        "address_id",
        "street_number",
        "street_type",
        "suite_number",
        "city",
        "county",
        "state",
        "zip_code",
        "country",
        "gmt_offset",
        "residence_type",
        TRIM("street_name") AS "street_name"
    FROM "customer_address_renamed"
),

"customer_address_renamed_trimmed_cleaned" AS (
    -- Clean unusual string values: 
    -- street_type: The problem is inconsistency in abbreviations and punctuation for street types. Some types are spelled out fully while others are abbreviated, and some abbreviations include periods while others don't. The correct values should be the most common or standard representation for each street type. 
    -- street_name: The problem is inconsistent representation of street names, particularly for numbered streets. Some entries combine the street number with additional descriptors or other street names. The correct values should use a consistent format, using just the numbered street name where applicable, and separating multiple street names if needed. 
    SELECT
        "address_surrogate_key",
        "address_id",
        "street_number",
        CASE
            WHEN "street_type" = 'Dr.' THEN 'Drive'
            WHEN "street_type" = 'ST' THEN 'Street'
            WHEN "street_type" = 'Ave' THEN 'Avenue'
            WHEN "street_type" = 'RD' THEN 'Road'
            WHEN "street_type" = 'Ct.' THEN 'Court'
            WHEN "street_type" = 'Wy' THEN 'Way'
            WHEN "street_type" = 'Pkwy' THEN 'Parkway'
            WHEN "street_type" = 'Blvd' THEN 'Boulevard'
            WHEN "street_type" = 'Ln' THEN 'Lane'
            WHEN "street_type" = 'Cir.' THEN 'Circle'
            ELSE "street_type"
        END AS "street_type",
        "suite_number",
        "city",
        "county",
        "state",
        "zip_code",
        "country",
        "gmt_offset",
        "residence_type",
        CASE
            WHEN "street_name" = '10th 10th' THEN '10th'
            WHEN "street_name" = '10th Oak' THEN '10th'
            WHEN "street_name" = '11th 14th' THEN '11th'
            WHEN "street_name" = '13th 2nd' THEN '13th'
            WHEN "street_name" = '14th Sycamore' THEN '14th'
            WHEN "street_name" = '1st Cedar' THEN '1st'
            WHEN "street_name" = '1st Laurel' THEN '1st'
            WHEN "street_name" = '2nd Maple' THEN '2nd'
            WHEN "street_name" = '3rd 4th' THEN '3rd'
            WHEN "street_name" = '6th Spring' THEN '6th'
            WHEN "street_name" = '8th Lake' THEN '8th'
            WHEN "street_name" = 'Ash 8th' THEN '8th'
            WHEN "street_name" = 'Ash Wilson' THEN 'Wilson'
            WHEN "street_name" = 'Cedar Franklin' THEN 'Cedar'
            WHEN "street_name" = 'Church 7th' THEN '7th'
            WHEN "street_name" = 'College Franklin' THEN 'College'
            WHEN "street_name" = 'Dogwood Washington' THEN 'Washington'
            WHEN "street_name" = 'Elevnth Green' THEN '11th'
            WHEN "street_name" = 'Elm Wilson' THEN 'Wilson'
            WHEN "street_name" = 'First Elevnth' THEN '11th'
            WHEN "street_name" = 'Fourth Lake' THEN '4th'
            WHEN "street_name" = 'Green Broadway' THEN 'Green'
            WHEN "street_name" = 'Hickory River' THEN 'River'
            WHEN "street_name" = 'Highland 2nd' THEN '2nd'
            WHEN "street_name" = 'Hill 7th' THEN '7th'
            WHEN "street_name" = 'Jefferson Smith' THEN 'Jefferson'
            WHEN "street_name" = 'Laurel Forest' THEN 'Laurel'
            WHEN "street_name" = 'Main Second' THEN 'Main and Second'
            WHEN "street_name" = 'Maple Spruce' THEN 'Maple and Spruce'
            WHEN "street_name" = 'Miller 15th' THEN 'Miller and 15th'
            WHEN "street_name" = 'Park 7th' THEN 'Park and 7th'
            WHEN "street_name" = 'Park Second' THEN 'Park and Second'
            WHEN "street_name" = 'Pine Oak' THEN 'Pine and Oak'
            WHEN "street_name" = 'River Main' THEN 'River and Main'
            WHEN "street_name" = 'River Spruce' THEN 'River and Spruce'
            WHEN "street_name" = 'Second Hickory' THEN 'Second and Hickory'
            WHEN "street_name" = 'Spring Poplar' THEN 'Spring and Poplar'
            WHEN "street_name" = 'Sunset Main' THEN 'Sunset and Main'
            WHEN "street_name" = 'Valley 14th' THEN 'Valley and 14th'
            WHEN "street_name" = 'Washington 6th' THEN 'Washington and 6th'
            WHEN "street_name" = 'Washington Main' THEN 'Washington and Main'
            WHEN "street_name" = 'Washington Sunset' THEN 'Washington and Sunset'
            WHEN "street_name" = 'Williams Sixth' THEN 'Williams and Sixth'
            WHEN "street_name" = 'Woodland Poplar' THEN 'Woodland and Poplar'
            ELSE "street_name"
        END AS "street_name"
    FROM "customer_address_renamed_trimmed"
)

-- COCOON BLOCK END
SELECT * FROM "customer_address_renamed_trimmed_cleaned"

stg_customer_address.yml (Document the table)

version: 2
models:
- name: stg_customer_address
  description: The table is about customer addresses. It includes unique identifiers
    for each address. It contains street details, city, county, state, and zip code.
    It also provides country, GMT offset, and location type. Each row represents a
    distinct customer address with its associated information.
  columns:
  - name: address_surrogate_key
    description: Surrogate key for the address
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key specifically created to uniquely
        identify each address record. For this table, each row represents a distinct
        customer address. address_surrogate_key is unique across rows, as it's designed
        to be a primary identifier.
  - name: address_id
    description: Unique identifier for the address
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is described as a unique identifier for the address.
        For this table, each row represents a distinct customer address. address_id
        appears to be unique across rows, as it's intended to uniquely identify each
        address.
  - name: street_number
    description: House or building number on the street
    tests:
    - not_null
  - name: street_type
    description: Type of street (e.g., Parkway, RD, Circle)
    tests:
    - not_null
  - name: suite_number
    description: Suite or apartment number if applicable
    cocoon_meta:
      missing_acceptable: Not all residences have suite numbers.
  - name: city
    description: City name of the address
    tests:
    - not_null
  - name: county
    description: County name of the address
    tests:
    - not_null
  - name: state
    description: State abbreviation of the address
    tests:
    - not_null
  - name: zip_code
    description: ZIP code of the address
    tests:
    - not_null
  - name: country
    description: Country of the address
    tests:
    - not_null
  - name: gmt_offset
    description: GMT offset of the address location
    tests:
    - not_null
  - name: residence_type
    description: Type of residence (e.g., condo, single family)
    tests:
    - not_null
    - accepted_values:
        values:
        - single family
        - condo
        - apartment
        - townhouse
        - duplex
        - mobile home
        - tiny house
        - co-op
        - loft
        - studio
        - bungalow
        - cottage
        - mansion
        - villa
        - penthouse
        - dormitory
        - boarding house
        - houseboat
        - yurt
        - treehouse
  - name: street_name
    description: Name of the street
    tests:
    - not_null

stg_store_sales (first 100 rows)

	sale_date_id	sale_time_id	item_id	customer_id	customer_demo_id	household_demo_id	address_id	store_id	promotion_id	ticket_number	quantity_sold	unit_wholesale_cost	unit_list_price	unit_sales_price	total_discount_amount	total_sales_price	total_wholesale_cost	total_list_price	total_tax_amount	coupon_amount	net_paid_amount	net_paid_with_tax	net_profit
0	2451813.0	65495.0	1091	6.0	591617.0	3428.0	839.0	2.0	2.0	1	79.0	11.41	18.71	2.80	99.54	221.20	901.39	1478.09	6.08	99.54	121.66	127.74	-779.73
1	2451813.0	65495.0	1478	6.0	591617.0	3428.0	839.0	2.0	1.0	1	37.0	63.63	101.17	41.47	46.03	1534.39	2354.31	3743.29	59.53	46.03	1488.36	1547.89	-865.95
2	2451813.0	65495.0	1961	6.0	591617.0	3428.0	839.0	2.0	1.0	1	99.0	80.52	137.68	83.98	0.00	8314.02	7971.48	13630.32	0.00	0.00	8314.02	8314.02	342.54
3	2451813.0	65495.0	470	6.0	591617.0	3428.0	839.0	2.0	1.0	1	14.0	57.37	76.30	6.10	0.00	85.40	803.18	1068.20	0.00	0.00	85.40	85.40	-717.78
4	2451813.0	65495.0	404	6.0	591617.0	3428.0	839.0	2.0	2.0	1	100.0	25.08	36.86	0.73	0.00	73.00	2508.00	3686.00	6.57	0.00	73.00	79.57	-2435.00
5	2451813.0	65495.0	1813	6.0	591617.0	3428.0	839.0	2.0	2.0	1	91.0	93.48	108.43	93.24	0.00	8484.84	8506.68	9867.13	254.54	0.00	8484.84	8739.38	-21.84
6	2451813.0	65495.0	1439	6.0	591617.0	3428.0	839.0	2.0	1.0	1	5.0	10.68	15.91	6.68	0.00	33.40	53.40	79.55	2.33	0.00	33.40	35.73	-20.00
7	2451813.0	65495.0	203	6.0	591617.0	3428.0	839.0	2.0	3.0	1	72.0	84.72	111.83	61.50	0.00	4428.00	6099.84	8051.76	177.12	0.00	4428.00	4605.12	-1671.84
8	2451813.0	65495.0	1837	6.0	591617.0	3428.0	839.0	2.0	1.0	1	14.0	11.54	11.77	0.00	0.00	0.00	161.56	164.78	0.00	0.00	0.00	0.00	-161.56
9	2451813.0	65495.0	1484	6.0	591617.0	3428.0	839.0	2.0	3.0	1	58.0	4.57	5.34	3.52	0.00	204.16	265.06	309.72	0.00	0.00	204.16	204.16	-60.90
10	2451813.0	65495.0	1901	6.0	591617.0	3428.0	839.0	2.0	1.0	1	44.0	31.07	54.99	24.19	0.00	1064.36	1367.08	2419.56	85.14	0.00	1064.36	1149.50	-302.72
11	2451813.0	65495.0	257	6.0	591617.0	3428.0	839.0	2.0	1.0	1	88.0	52.41	63.94	49.23	0.00	4332.24	4612.08	5626.72	259.93	0.00	4332.24	4592.17	-279.84
12	2451813.0	65495.0	365	6.0	591617.0	3428.0	839.0	2.0	2.0	1	50.0	67.71	126.61	87.36	0.00	4368.00	3385.50	6330.50	349.44	0.00	4368.00	4717.44	982.50
13	2451813.0	65495.0	989	6.0	591617.0	3428.0	839.0	2.0	3.0	1	65.0	27.16	52.14	41.19	0.00	2677.35	1765.40	3389.10	214.18	0.00	2677.35	2891.53	911.95
14	2451524.0	75316.0	61	284.0	1712478.0	4672.0	266.0	2.0	1.0	2	65.0	93.86	158.62	34.89	0.00	2267.85	6100.90	10310.30	45.35	0.00	2267.85	2313.20	-3833.05
15	2451524.0	75316.0	1669	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	93.0	35.87	49.14	15.23	0.00	1416.39	3335.91	4570.02	113.31	0.00	1416.39	1529.70	-1919.52
16	2451524.0	75316.0	686	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	30.0	2.27	3.83	1.11	0.00	33.30	68.10	114.90	0.00	0.00	33.30	33.30	-34.80
17	2451524.0	75316.0	1142	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	58.0	53.09	58.39	7.59	0.00	440.22	3079.22	3386.62	0.00	0.00	440.22	440.22	-2639.00
18	NaN	75316.0	1771	NaN	NaN	4672.0	NaN	2.0	NaN	2	NaN	17.12	19.85	NaN	NaN	NaN	NaN	NaN	19.07	NaN	NaN	495.84	NaN
19	2451524.0	75316.0	1336	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	79.0	88.02	128.50	69.39	4549.90	5481.81	6953.58	10151.50	83.87	4549.90	931.91	1015.78	-6021.67
20	2451524.0	75316.0	1030	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	25.0	74.26	89.11	35.64	0.00	891.00	1856.50	2227.75	8.91	0.00	891.00	899.91	-965.50
21	2451524.0	75316.0	1330	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	78.0	65.71	88.70	23.06	341.74	1798.68	5125.38	6918.60	131.12	341.74	1456.94	1588.06	-3668.44
22	2451524.0	75316.0	1792	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	88.0	64.43	79.89	41.54	0.00	3655.52	5669.84	7030.32	146.22	0.00	3655.52	3801.74	-2014.32
23	2451524.0	75316.0	565	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	49.0	6.55	7.86	7.46	0.00	365.54	320.95	385.14	0.00	0.00	365.54	365.54	44.59
24	2451524.0	75316.0	56	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	4.0	13.46	15.34	12.57	0.00	50.28	53.84	61.36	4.02	0.00	50.28	54.30	-3.56
25	2451524.0	75316.0	406	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	74.0	16.55	17.21	4.47	0.00	330.78	1224.70	1273.54	0.00	0.00	330.78	330.78	-893.92
26	2451524.0	75316.0	740	284.0	1712478.0	4672.0	266.0	2.0	2.0	2	71.0	36.01	64.09	3.20	0.00	227.20	2556.71	4550.39	4.54	0.00	227.20	231.74	-2329.51
27	2451524.0	75316.0	992	284.0	1712478.0	4672.0	266.0	2.0	3.0	2	36.0	61.23	93.06	11.16	0.00	401.76	2204.28	3350.16	28.12	0.00	401.76	429.88	-1802.52
28	2451524.0	75316.0	991	284.0	1712478.0	4672.0	266.0	2.0	1.0	2	62.0	77.97	85.76	79.75	0.00	4944.50	4834.14	5317.12	0.00	0.00	4944.50	4944.50	110.36
29	2452638.0	50412.0	150	47.0	586372.0	697.0	622.0	1.0	2.0	3	82.0	56.14	111.15	46.68	0.00	3827.76	4603.48	9114.30	306.22	0.00	3827.76	4133.98	-775.72
30	2452638.0	50412.0	672	47.0	586372.0	697.0	622.0	1.0	1.0	3	96.0	98.02	136.24	104.90	0.00	10070.40	9409.92	13079.04	100.70	0.00	10070.40	10171.10	660.48
31	NaN	NaN	247	NaN	NaN	NaN	622.0	1.0	3.0	3	NaN	NaN	130.66	NaN	NaN	3104.46	NaN	3527.82	124.17	NaN	NaN	NaN	NaN
32	2452638.0	50412.0	912	47.0	586372.0	697.0	622.0	1.0	3.0	3	42.0	97.03	178.53	7.14	0.00	299.88	4075.26	7498.26	17.99	0.00	299.88	317.87	-3775.38
33	2452638.0	50412.0	15	47.0	586372.0	697.0	622.0	1.0	2.0	3	64.0	74.69	120.25	2.40	0.00	153.60	4780.16	7696.00	3.07	0.00	153.60	156.67	-4626.56
34	2452638.0	50412.0	1719	47.0	586372.0	697.0	622.0	1.0	2.0	3	17.0	72.38	111.46	75.79	0.00	1288.43	1230.46	1894.82	38.65	0.00	1288.43	1327.08	57.97
35	2452638.0	50412.0	78	47.0	586372.0	697.0	622.0	1.0	3.0	3	88.0	27.95	38.57	26.99	403.77	2375.12	2459.60	3394.16	0.00	403.77	1971.35	1971.35	-488.25
36	2452638.0	50412.0	1539	47.0	586372.0	697.0	622.0	1.0	2.0	3	4.0	95.75	146.49	43.94	0.00	175.76	383.00	585.96	5.27	0.00	175.76	181.03	-207.24
37	2452638.0	50412.0	771	47.0	586372.0	697.0	622.0	1.0	2.0	3	79.0	44.66	83.06	17.44	1115.98	1377.76	3528.14	6561.74	5.23	1115.98	261.78	267.01	-3266.36
38	2452638.0	50412.0	246	47.0	586372.0	697.0	622.0	1.0	3.0	3	56.0	4.31	6.76	0.06	3.22	3.36	241.36	378.56	0.01	3.22	0.14	0.15	-241.22
39	2452638.0	50412.0	1063	47.0	586372.0	697.0	622.0	1.0	2.0	3	27.0	37.04	58.89	55.35	0.00	1494.45	1000.08	1590.03	29.88	0.00	1494.45	1524.33	494.37
40	2452638.0	50412.0	1545	47.0	586372.0	697.0	622.0	1.0	1.0	3	4.0	75.67	130.15	35.14	0.00	140.56	302.68	520.60	9.83	0.00	140.56	150.39	-162.12
41	2452638.0	50412.0	715	47.0	586372.0	697.0	622.0	1.0	3.0	3	53.0	23.04	44.00	26.40	0.00	1399.20	1221.12	2332.00	13.99	0.00	1399.20	1413.19	178.08
42	2452638.0	50412.0	648	47.0	586372.0	697.0	622.0	1.0	1.0	3	98.0	85.00	132.60	90.16	4506.19	8835.68	8330.00	12994.80	0.00	4506.19	4329.49	4329.49	-4000.51
43	2451438.0	38195.0	344	814.0	874786.0	1511.0	83.0	2.0	2.0	4	43.0	54.34	107.59	87.14	0.00	3747.02	2336.62	4626.37	299.76	0.00	3747.02	4046.78	1410.40
44	2451438.0	38195.0	397	814.0	874786.0	1511.0	83.0	2.0	2.0	4	23.0	2.91	3.57	3.53	32.47	81.19	66.93	82.11	0.97	32.47	48.72	49.69	-18.21
45	2451438.0	38195.0	1060	814.0	874786.0	1511.0	83.0	2.0	1.0	4	56.0	64.68	78.90	24.45	0.00	1369.20	3622.08	4418.40	0.00	0.00	1369.20	1369.20	-2252.88
46	2451438.0	38195.0	886	814.0	874786.0	1511.0	83.0	2.0	2.0	4	21.0	40.39	40.39	12.11	0.00	254.31	848.19	848.19	22.88	0.00	254.31	277.19	-593.88
47	2451438.0	38195.0	1904	814.0	874786.0	1511.0	83.0	2.0	1.0	4	41.0	67.18	78.60	5.50	0.00	225.50	2754.38	3222.60	13.53	0.00	225.50	239.03	-2528.88
48	2451438.0	38195.0	272	814.0	874786.0	1511.0	83.0	2.0	2.0	4	27.0	26.21	44.81	19.26	0.00	520.02	707.67	1209.87	46.80	0.00	520.02	566.82	-187.65
49	2451438.0	38195.0	86	814.0	874786.0	1511.0	83.0	2.0	1.0	4	86.0	64.67	123.51	55.57	0.00	4779.02	5561.62	10621.86	47.79	0.00	4779.02	4826.81	-782.60
50	2451438.0	38195.0	1465	814.0	874786.0	1511.0	83.0	2.0	1.0	4	17.0	54.26	105.80	9.52	116.52	161.84	922.42	1798.60	0.00	116.52	45.32	45.32	-877.10
51	2451438.0	38195.0	586	814.0	874786.0	1511.0	83.0	2.0	3.0	4	74.0	81.81	163.62	45.81	0.00	3389.94	6053.94	12107.88	271.19	0.00	3389.94	3661.13	-2664.00
52	2451438.0	38195.0	908	814.0	874786.0	1511.0	83.0	2.0	2.0	4	23.0	53.28	77.78	1.55	21.03	35.65	1225.44	1788.94	1.16	21.03	14.62	15.78	-1210.82
53	2451465.0	53976.0	1826	246.0	963544.0	5042.0	940.0	2.0	1.0	5	60.0	69.54	112.65	57.45	0.00	3447.00	4172.40	6759.00	34.47	0.00	3447.00	3481.47	-725.40
54	2451465.0	53976.0	1057	246.0	963544.0	5042.0	940.0	2.0	1.0	5	52.0	16.33	32.33	31.68	0.00	1647.36	849.16	1681.16	115.31	0.00	1647.36	1762.67	798.20
55	2451465.0	53976.0	1540	246.0	963544.0	5042.0	940.0	2.0	2.0	5	83.0	74.15	89.72	63.70	0.00	5287.10	6154.45	7446.76	422.96	0.00	5287.10	5710.06	-867.35
56	2451465.0	53976.0	691	246.0	963544.0	5042.0	940.0	2.0	3.0	5	15.0	21.21	33.93	30.53	0.00	457.95	318.15	508.95	22.89	0.00	457.95	480.84	139.80
57	2451465.0	53976.0	502	246.0	963544.0	5042.0	940.0	2.0	3.0	5	71.0	22.10	37.57	28.17	0.00	2000.07	1569.10	2667.47	180.00	0.00	2000.07	2180.07	430.97
58	2451465.0	53976.0	1162	246.0	963544.0	5042.0	940.0	2.0	2.0	5	36.0	7.93	12.92	7.36	0.00	264.96	285.48	465.12	0.00	0.00	264.96	264.96	-20.52
59	2451465.0	53976.0	1561	246.0	963544.0	5042.0	940.0	2.0	1.0	5	66.0	71.06	136.43	45.02	0.00	2971.32	4689.96	9004.38	59.42	0.00	2971.32	3030.74	-1718.64
60	2451465.0	53976.0	1790	246.0	963544.0	5042.0	940.0	2.0	2.0	5	66.0	21.01	28.57	5.99	0.00	395.34	1386.66	1885.62	7.90	0.00	395.34	403.24	-991.32
61	NaN	53976.0	1064	NaN	963544.0	NaN	NaN	2.0	2.0	5	50.0	30.69	59.84	NaN	NaN	NaN	1534.50	NaN	0.00	NaN	1735.00	NaN	200.50
62	2451465.0	53976.0	1238	246.0	963544.0	5042.0	940.0	2.0	2.0	5	91.0	27.68	53.69	0.53	0.00	48.23	2518.88	4885.79	3.85	0.00	48.23	52.08	-2470.65
63	2451465.0	53976.0	28	246.0	963544.0	5042.0	940.0	2.0	2.0	5	76.0	89.78	103.24	50.58	0.00	3844.08	6823.28	7846.24	153.76	0.00	3844.08	3997.84	-2979.20
64	2451465.0	53976.0	1832	246.0	963544.0	5042.0	940.0	2.0	3.0	5	64.0	87.90	95.81	66.10	0.00	4230.40	5625.60	6131.84	0.00	0.00	4230.40	4230.40	-1395.20
65	2451465.0	53976.0	1190	246.0	963544.0	5042.0	940.0	2.0	2.0	5	60.0	41.72	52.98	32.31	0.00	1938.60	2503.20	3178.80	0.00	0.00	1938.60	1938.60	-564.60
66	NaN	53976.0	1780	246.0	NaN	NaN	940.0	2.0	NaN	5	NaN	NaN	77.52	11.62	0.00	732.06	NaN	4883.76	43.92	0.00	NaN	NaN	NaN
67	2451465.0	53976.0	307	246.0	963544.0	5042.0	940.0	2.0	2.0	5	50.0	30.96	56.34	45.07	0.00	2253.50	1548.00	2817.00	22.53	0.00	2253.50	2276.03	705.50
68	NaN	NaN	611	29.0	NaN	2092.0	NaN	NaN	3.0	6	NaN	NaN	NaN	NaN	NaN	449.88	NaN	NaN	NaN	NaN	NaN	NaN	NaN
69	2452109.0	36794.0	849	29.0	506184.0	2092.0	800.0	1.0	3.0	6	31.0	49.78	77.15	69.43	0.00	2152.33	1543.18	2391.65	0.00	0.00	2152.33	2152.33	609.15
70	2452109.0	36794.0	821	29.0	506184.0	2092.0	800.0	1.0	2.0	6	62.0	85.07	159.08	76.35	0.00	4733.70	5274.34	9862.96	189.34	0.00	4733.70	4923.04	-540.64
71	2452109.0	36794.0	151	29.0	506184.0	2092.0	800.0	1.0	3.0	6	1.0	71.10	89.58	61.81	0.00	61.81	71.10	89.58	3.70	0.00	61.81	65.51	-9.29
72	2452109.0	36794.0	43	29.0	506184.0	2092.0	800.0	1.0	3.0	6	61.0	48.18	60.70	18.81	126.21	1147.41	2938.98	3702.70	71.48	126.21	1021.20	1092.68	-1917.78
73	2452109.0	36794.0	1933	29.0	506184.0	2092.0	800.0	1.0	2.0	6	42.0	64.46	70.26	32.31	0.00	1357.02	2707.32	2950.92	27.14	0.00	1357.02	1384.16	-1350.30
74	2452109.0	36794.0	1335	29.0	506184.0	2092.0	800.0	1.0	3.0	6	100.0	41.08	42.31	38.50	0.00	3850.00	4108.00	4231.00	346.50	0.00	3850.00	4196.50	-258.00
75	2452109.0	36794.0	97	29.0	506184.0	2092.0	800.0	1.0	3.0	6	64.0	86.35	152.83	122.26	6650.94	7824.64	5526.40	9781.12	35.21	6650.94	1173.70	1208.91	-4352.70
76	2452109.0	36794.0	395	29.0	506184.0	2092.0	800.0	1.0	3.0	6	94.0	62.67	99.64	97.64	0.00	9178.16	5890.98	9366.16	91.78	0.00	9178.16	9269.94	3287.18
77	2452109.0	36794.0	1849	29.0	506184.0	2092.0	800.0	1.0	3.0	6	72.0	55.49	93.77	55.32	0.00	3983.04	3995.28	6751.44	199.15	0.00	3983.04	4182.19	-12.24
78	2452109.0	36794.0	1235	29.0	506184.0	2092.0	800.0	1.0	3.0	6	100.0	4.45	7.87	7.24	0.00	724.00	445.00	787.00	57.92	0.00	724.00	781.92	279.00
79	2452260.0	46712.0	1657	954.0	890396.0	791.0	633.0	2.0	3.0	7	51.0	84.65	124.43	49.77	0.00	2538.27	4317.15	6345.93	76.14	0.00	2538.27	2614.41	-1778.88
80	2452260.0	46712.0	1829	954.0	890396.0	791.0	633.0	2.0	3.0	7	9.0	56.13	59.49	30.93	0.00	278.37	505.17	535.41	22.26	0.00	278.37	300.63	-226.80
81	2452260.0	NaN	437	954.0	890396.0	791.0	NaN	NaN	NaN	7	4.0	NaN	NaN	NaN	NaN	278.60	203.68	366.60	22.28	NaN	278.60	300.88	NaN
82	2452260.0	46712.0	1749	954.0	NaN	NaN	NaN	NaN	1.0	7	NaN	NaN	72.02	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4990.30	NaN	1141.70
83	2452260.0	46712.0	1027	954.0	890396.0	791.0	633.0	2.0	3.0	7	88.0	38.23	72.63	39.22	0.00	3451.36	3364.24	6391.44	138.05	0.00	3451.36	3589.41	87.12
84	2452260.0	46712.0	1029	954.0	890396.0	791.0	633.0	2.0	3.0	7	52.0	63.80	81.02	22.68	0.00	1179.36	3317.60	4213.04	23.58	0.00	1179.36	1202.94	-2138.24
85	2452260.0	46712.0	763	954.0	890396.0	791.0	633.0	2.0	2.0	7	69.0	99.85	113.82	110.40	0.00	7617.60	6889.65	7853.58	0.00	0.00	7617.60	7617.60	727.95
86	2452260.0	46712.0	261	954.0	890396.0	791.0	633.0	2.0	1.0	7	54.0	42.82	56.09	21.31	0.00	1150.74	2312.28	3028.86	92.05	0.00	1150.74	1242.79	-1161.54
87	2452260.0	46712.0	1177	954.0	890396.0	791.0	633.0	2.0	2.0	7	12.0	47.60	75.20	65.42	0.00	785.04	571.20	902.40	47.10	0.00	785.04	832.14	213.84
88	2452260.0	46712.0	543	954.0	890396.0	791.0	633.0	2.0	2.0	7	73.0	12.17	14.23	11.24	623.59	820.52	888.41	1038.79	5.90	623.59	196.93	202.83	-691.48
89	2452260.0	46712.0	685	954.0	890396.0	791.0	633.0	2.0	2.0	7	69.0	34.19	58.46	50.86	0.00	3509.34	2359.11	4033.74	210.56	0.00	3509.34	3719.90	1150.23
90	2452260.0	46712.0	1707	954.0	890396.0	791.0	633.0	2.0	3.0	7	82.0	69.53	87.60	34.16	0.00	2801.12	5701.46	7183.20	0.00	0.00	2801.12	2801.12	-2900.34
91	2452179.0	52209.0	469	944.0	578318.0	6045.0	19.0	1.0	1.0	8	90.0	81.63	151.83	113.87	9428.43	10248.30	7346.70	13664.70	40.99	9428.43	819.87	860.86	-6526.83
92	2452179.0	52209.0	403	944.0	578318.0	6045.0	19.0	1.0	1.0	8	87.0	31.78	63.24	16.44	0.00	1430.28	2764.86	5501.88	57.21	0.00	1430.28	1487.49	-1334.58
93	2452179.0	52209.0	1303	944.0	578318.0	6045.0	19.0	1.0	3.0	8	31.0	15.64	26.43	13.21	0.00	409.51	484.84	819.33	4.09	0.00	409.51	413.60	-75.33
94	2452179.0	52209.0	1141	944.0	578318.0	6045.0	19.0	1.0	2.0	8	95.0	21.29	33.85	20.64	0.00	1960.80	2022.55	3215.75	98.04	0.00	1960.80	2058.84	-61.75
95	2452179.0	52209.0	665	944.0	578318.0	6045.0	19.0	1.0	2.0	8	7.0	18.65	27.97	20.41	0.00	142.87	130.55	195.79	1.42	0.00	142.87	144.29	12.32
96	2452179.0	52209.0	571	944.0	578318.0	6045.0	19.0	1.0	2.0	8	54.0	36.99	47.71	27.67	0.00	1494.18	1997.46	2576.34	89.65	0.00	1494.18	1583.83	-503.28
97	2452179.0	52209.0	1203	944.0	578318.0	6045.0	19.0	1.0	2.0	8	95.0	91.80	93.63	75.84	6700.46	7204.80	8721.00	8894.85	5.04	6700.46	504.34	509.38	-8216.66
98	2452179.0	52209.0	951	944.0	578318.0	6045.0	19.0	1.0	2.0	8	83.0	14.11	27.37	3.28	0.00	272.24	1171.13	2271.71	13.61	0.00	272.24	285.85	-898.89

stg_store_sales.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"store_sales_renamed" AS (
    -- Rename: Renaming columns
    -- SS_SOLD_DATE_SK -> sale_date_id
    -- SS_SOLD_TIME_SK -> sale_time_id
    -- SS_ITEM_SK -> item_id
    -- SS_CUSTOMER_SK -> customer_id
    -- SS_CDEMO_SK -> customer_demo_id
    -- SS_HDEMO_SK -> household_demo_id
    -- SS_ADDR_SK -> address_id
    -- SS_STORE_SK -> store_id
    -- SS_PROMO_SK -> promotion_id
    -- SS_TICKET_NUMBER -> ticket_number
    -- SS_QUANTITY -> quantity_sold
    -- SS_WHOLESALE_COST -> unit_wholesale_cost
    -- SS_LIST_PRICE -> unit_list_price
    -- SS_SALES_PRICE -> unit_sales_price
    -- SS_EXT_DISCOUNT_AMT -> total_discount_amount
    -- SS_EXT_SALES_PRICE -> total_sales_price
    -- SS_EXT_WHOLESALE_COST -> total_wholesale_cost
    -- SS_EXT_LIST_PRICE -> total_list_price
    -- SS_EXT_TAX -> total_tax_amount
    -- SS_COUPON_AMT -> coupon_amount
    -- SS_NET_PAID -> net_paid_amount
    -- SS_NET_PAID_INC_TAX -> net_paid_with_tax
    -- SS_NET_PROFIT -> net_profit
    SELECT 
        "SS_SOLD_DATE_SK" AS "sale_date_id",
        "SS_SOLD_TIME_SK" AS "sale_time_id",
        "SS_ITEM_SK" AS "item_id",
        "SS_CUSTOMER_SK" AS "customer_id",
        "SS_CDEMO_SK" AS "customer_demo_id",
        "SS_HDEMO_SK" AS "household_demo_id",
        "SS_ADDR_SK" AS "address_id",
        "SS_STORE_SK" AS "store_id",
        "SS_PROMO_SK" AS "promotion_id",
        "SS_TICKET_NUMBER" AS "ticket_number",
        "SS_QUANTITY" AS "quantity_sold",
        "SS_WHOLESALE_COST" AS "unit_wholesale_cost",
        "SS_LIST_PRICE" AS "unit_list_price",
        "SS_SALES_PRICE" AS "unit_sales_price",
        "SS_EXT_DISCOUNT_AMT" AS "total_discount_amount",
        "SS_EXT_SALES_PRICE" AS "total_sales_price",
        "SS_EXT_WHOLESALE_COST" AS "total_wholesale_cost",
        "SS_EXT_LIST_PRICE" AS "total_list_price",
        "SS_EXT_TAX" AS "total_tax_amount",
        "SS_COUPON_AMT" AS "coupon_amount",
        "SS_NET_PAID" AS "net_paid_amount",
        "SS_NET_PAID_INC_TAX" AS "net_paid_with_tax",
        "SS_NET_PROFIT" AS "net_profit"
    FROM "store_sales"
)

-- COCOON BLOCK END
SELECT * FROM "store_sales_renamed"

stg_store_sales.yml (Document the table)

version: 2
models:
- name: stg_store_sales
  description: The table is about store sales transactions. It includes details like
    sale date, time, item, customer, store, quantity sold, prices, costs, discounts,
    and profits. Each row represents an individual sale of an item, with information
    on the sale amount, taxes, coupons used, and net profit. The table captures comprehensive
    data for analyzing store sales performance and customer purchasing behavior.
  columns:
  - name: sale_date_id
    description: Date surrogate key
    tests:
    - not_null
  - name: sale_time_id
    description: Time surrogate key
    tests:
    - not_null
  - name: item_id
    description: Item surrogate key
    tests:
    - not_null
  - name: customer_id
    description: Customer surrogate key
    tests:
    - not_null
  - name: customer_demo_id
    description: Customer demographics surrogate key
    tests:
    - not_null
  - name: household_demo_id
    description: Household demographics surrogate key
    tests:
    - not_null
  - name: address_id
    description: Address surrogate key
    tests:
    - not_null
  - name: store_id
    description: Store surrogate key
    tests:
    - not_null
  - name: promotion_id
    description: Promotion surrogate key
    tests:
    - not_null
  - name: ticket_number
    description: Ticket number
    tests:
    - not_null
  - name: quantity_sold
    description: Quantity sold
    tests:
    - not_null
  - name: unit_wholesale_cost
    description: Wholesale cost per unit
    tests:
    - not_null
  - name: unit_list_price
    description: List price per unit
    tests:
    - not_null
  - name: unit_sales_price
    description: Sales price per unit
    tests:
    - not_null
  - name: total_discount_amount
    description: Extended discount amount
    cocoon_meta:
      missing_acceptable: No discount applied to the purchase
  - name: total_sales_price
    description: Extended sales price
    tests:
    - not_null
  - name: total_wholesale_cost
    description: Extended wholesale cost
    tests:
    - not_null
  - name: total_list_price
    description: Extended list price
    tests:
    - not_null
  - name: total_tax_amount
    description: Extended tax amount
    tests:
    - not_null
  - name: coupon_amount
    description: Amount of coupon applied to the sale
    cocoon_meta:
      missing_acceptable: No coupon applied to the purchase
  - name: net_paid_amount
    description: Net amount paid
    tests:
    - not_null
  - name: net_paid_with_tax
    description: Net amount paid including tax
    tests:
    - not_null
  - name: net_profit
    description: Net profit
    tests:
    - not_null

stg_web_page (first 100 rows)

	page_surrogate_key	page_id	customer_id	url	page_type	character_count	link_count	image_count	max_ad_count	creation_date	is_auto_generated	last_access_date	record_end_date	record_start_date
0	1	AAAAAAAABAAAAAAA	539.0	http://www.foo.com	welcome	2531	8	3	4	4850811.0	True	4893208.0	NaT	1997-09-03
1	2	AAAAAAAACAAAAAAA	NaN	http://www.foo.com	protected	1564	4	3	1	4850815.0	False	4893168.0	2000-09-02	1997-09-03

stg_web_page.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"web_page_renamed" AS (
    -- Rename: Renaming columns
    -- WP_WEB_PAGE_SK -> page_surrogate_key
    -- WP_WEB_PAGE_ID -> page_id
    -- WP_REC_START_DATE -> record_start_date
    -- WP_REC_END_DATE -> record_end_date
    -- WP_CREATION_DATE_SK -> creation_date
    -- WP_ACCESS_DATE_SK -> last_access_date
    -- WP_AUTOGEN_FLAG -> is_auto_generated
    -- WP_CUSTOMER_SK -> customer_id
    -- WP_URL -> url
    -- WP_TYPE -> page_type
    -- WP_CHAR_COUNT -> character_count
    -- WP_LINK_COUNT -> link_count
    -- WP_IMAGE_COUNT -> image_count
    -- WP_MAX_AD_COUNT -> max_ad_count
    SELECT 
        "WP_WEB_PAGE_SK" AS "page_surrogate_key",
        "WP_WEB_PAGE_ID" AS "page_id",
        "WP_REC_START_DATE" AS "record_start_date",
        "WP_REC_END_DATE" AS "record_end_date",
        "WP_CREATION_DATE_SK" AS "creation_date",
        "WP_ACCESS_DATE_SK" AS "last_access_date",
        "WP_AUTOGEN_FLAG" AS "is_auto_generated",
        "WP_CUSTOMER_SK" AS "customer_id",
        "WP_URL" AS "url",
        "WP_TYPE" AS "page_type",
        "WP_CHAR_COUNT" AS "character_count",
        "WP_LINK_COUNT" AS "link_count",
        "WP_IMAGE_COUNT" AS "image_count",
        "WP_MAX_AD_COUNT" AS "max_ad_count"
    FROM "web_page"
),

"web_page_renamed_casted" AS (
    -- Column Type Casting: 
    -- creation_date: from INT to DATE
    -- is_auto_generated: from VARCHAR to BOOLEAN
    -- last_access_date: from INT to DATE
    -- record_end_date: from VARCHAR to DATE
    -- record_start_date: from VARCHAR to DATE
    SELECT
        "page_surrogate_key",
        "page_id",
        "customer_id",
        "url",
        "page_type",
        "character_count",
        "link_count",
        "image_count",
        "max_ad_count",
        julian(DATE '1858-11-17' + CAST("creation_date" AS INTEGER)) AS "creation_date",
        CAST("is_auto_generated" = 'Y' AS BOOLEAN) AS "is_auto_generated",
        julian(DATE '1970-01-01' + CAST("last_access_date" AS INTEGER)) AS "last_access_date",
        CAST("record_end_date" AS DATE) AS "record_end_date",
        CAST("record_start_date" AS DATE) AS "record_start_date"
    FROM "web_page_renamed"
)

-- COCOON BLOCK END
SELECT * FROM "web_page_renamed_casted"

stg_web_page.yml (Document the table)

version: 2
models:
- name: stg_web_page
  description: The table is about web pages. It contains details like page ID, creation
    date, access date, URL, type, and various metrics such as character count, link
    count, image count, and maximum ad count. Some pages are associated with customers.
    The table tracks changes over time with start and end dates for each record.
  columns:
  - name: page_surrogate_key
    description: Surrogate key for the web page
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column appears to be a unique identifier for each row in the
        table. For this table, each row represents a specific version of a web page,
        and the page_surrogate_key seems to uniquely identify each record.
  - name: page_id
    description: Unique identifier for the web page
    tests:
    - not_null
  - name: customer_id
    description: Customer identifier associated with the page
    tests:
    - not_null
  - name: url
    description: URL of the web page
    tests:
    - not_null
    - accepted_values:
        values:
        - http://www.foo.com
        - https://www.foo.com
        - www.foo.com
  - name: page_type
    description: Type or category of the web page
    tests:
    - not_null
  - name: character_count
    description: Number of characters in the web page
    tests:
    - not_null
  - name: link_count
    description: Number of links on the web page
    tests:
    - not_null
  - name: image_count
    description: Number of images on the web page
    tests:
    - not_null
  - name: max_ad_count
    description: Maximum number of ads allowed on the page
    tests:
    - not_null
  - name: creation_date
    description: Date when the web page was created
    tests:
    - not_null
  - name: is_auto_generated
    description: Indicates if the page was automatically generated
    tests:
    - not_null
  - name: last_access_date
    description: Date when the web page was last accessed
    tests:
    - not_null
  - name: record_end_date
    description: End date of the record's validity period
    cocoon_meta:
      missing_acceptable: Not applicable for active or current records.
  - name: record_start_date
    description: Start date of the record's validity period
    tests:
    - not_null

stg_web_sales (first 100 rows)

	sale_date_id	sale_time_id	shipping_date_id	item_id	billing_customer_id	billing_customer_demo_id	billing_household_demo_id	billing_address_id	shipping_customer_id	shipping_customer_demo_id	shipping_household_demo_id	shipping_address_id	web_page_id	website_id	shipping_mode_id	warehouse_id	promotion_id	order_id	quantity	wholesale_cost	unit_list_price	unit_sales_price	total_discount_amount	total_sales_price	total_wholesale_cost	total_list_price	total_tax_amount	coupon_amount	total_shipping_cost	net_paid_amount	net_paid_with_tax	net_paid_with_shipping	total_net_paid	net_profit
0	2451383	73313	2451482	1819	74	596485	1096	907	919	41329	1140	351	2	1	4	1	3	1	57	33.59	59.45	38.04	1220.37	2168.28	1914.63	3388.65	50.95	1149.18	575.70	1019.10	1070.05	1594.80	1645.75	-895.53
1	2451383	73313	2451411	1850	74	596485	1096	907	919	41329	1140	351	1	1	3	1	1	1	38	29.83	48.92	26.41	855.38	1003.58	1133.54	1858.96	30.10	0.00	910.86	1003.58	1033.68	1914.44	1944.54	-129.96
2	2451383	73313	2451413	805	74	596485	1096	907	919	41329	1140	351	2	1	10	1	3	1	32	49.72	107.89	97.10	345.28	3107.20	1591.04	3452.48	124.28	0.00	828.48	3107.20	3231.48	3935.68	4059.96	1516.16
3	2451383	73313	2451393	409	74	596485	1096	907	919	41329	1140	351	2	2	6	1	3	1	65	69.18	112.07	22.41	5827.90	1456.65	4496.70	7284.55	29.13	0.00	2476.50	1456.65	1485.78	3933.15	3962.28	-3040.05
4	2451383	73313	2451502	169	74	596485	1096	907	919	41329	1140	351	1	2	2	1	3	1	58	36.62	41.38	16.13	1464.50	935.54	2123.96	2400.04	84.19	0.00	167.62	935.54	1019.73	1103.16	1187.35	-1188.42
5	2451383	73313	2451421	1564	74	596485	1096	907	919	41329	1140	351	2	2	2	1	2	1	90	72.05	161.39	27.43	12056.40	2468.70	6484.50	14525.10	74.06	0.00	4647.60	2468.70	2542.76	7116.30	7190.36	-4015.80
6	2451383	73313	2451457	1750	74	596485	1096	907	919	41329	1140	351	1	2	16	1	2	1	15	83.92	174.55	69.82	1570.95	1047.30	1258.80	2618.25	20.94	0.00	392.70	1047.30	1068.24	1440.00	1460.94	-211.50
7	2451383	73313	2451430	1873	74	596485	1096	907	919	41329	1140	351	1	2	14	1	1	1	16	45.27	128.56	68.13	966.88	1090.08	724.32	2056.96	87.20	0.00	370.24	1090.08	1177.28	1460.32	1547.52	365.76
8	2451383	73313	2451458	925	74	596485	1096	907	919	41329	1140	351	1	2	8	1	1	1	54	53.45	60.39	26.57	1826.28	1434.78	2886.30	3261.06	48.78	215.21	488.70	1219.57	1268.35	1708.27	1757.05	-1666.73
9	2452625	34964	2452702	451	296	436090	2684	278	428	1487225	3907	901	1	1	16	1	3	2	47	49.64	68.99	12.41	2659.26	583.27	2333.08	3242.53	52.49	0.00	1134.58	583.27	635.76	1717.85	1770.34	-1749.81
10	2452625	34964	2452638	1477	296	436090	2684	278	428	1487225	3907	901	1	1	16	1	2	2	12	7.24	12.16	11.91	3.00	142.92	86.88	145.92	10.00	0.00	29.16	142.92	152.92	172.08	182.08	56.04
11	2452625	34964	2452645	1737	296	436090	2684	278	428	1487225	3907	901	2	1	7	1	3	2	6	45.21	67.36	30.31	222.30	181.86	271.26	404.16	16.36	0.00	185.88	181.86	198.22	367.74	384.10	-89.40
12	2452625	34964	2452690	1794	296	436090	2684	278	428	1487225	3907	901	1	2	3	1	3	2	43	9.62	13.08	9.02	174.58	387.86	413.66	562.44	19.39	0.00	117.82	387.86	407.25	505.68	525.07	-25.80
13	2452625	34964	2452707	690	296	436090	2684	278	428	1487225	3907	901	1	2	1	1	1	2	57	35.95	62.55	43.78	1069.89	2495.46	2049.15	3565.35	224.59	0.00	962.16	2495.46	2720.05	3457.62	3682.21	446.31
14	2452625	34964	2452640	1455	296	436090	2684	278	428	1487225	3907	901	1	2	6	1	3	2	93	65.80	152.65	29.00	11499.45	2697.00	6119.40	14196.45	215.76	0.00	7097.76	2697.00	2912.76	9794.76	10010.52	-3422.40
15	2452625	34964	2452634	1824	296	436090	2684	278	428	1487225	3907	901	1	2	18	1	3	2	93	55.42	127.46	1.27	11735.67	118.11	5154.06	11853.78	4.72	0.00	1421.97	118.11	122.83	1540.08	1544.80	-5035.95
16	2452625	34964	2452734	156	296	436090	2684	278	428	1487225	3907	901	1	2	3	1	1	2	82	48.65	91.94	8.27	6860.94	678.14	3989.30	7539.08	13.56	0.00	2788.82	678.14	691.70	3466.96	3480.52	-3311.16
17	2452625	34964	2452739	1407	296	436090	2684	278	428	1487225	3907	901	2	1	9	1	3	2	33	80.23	90.65	55.29	1166.88	1824.57	2647.59	2991.45	0.00	0.00	478.50	1824.57	1824.57	2303.07	2303.07	-823.02
18	2451754	1529	2451801	506	800	1219525	3450	375	180	293885	5550	475	1	2	2	1	1	3	65	5.37	10.31	2.06	536.25	133.90	349.05	670.15	7.47	9.37	26.65	124.53	132.00	151.18	158.65	-224.52
19	2451754	1529	2451791	1861	800	1219525	3450	375	180	293885	5550	475	1	2	9	1	1	3	74	74.66	83.61	52.67	2289.56	3897.58	5524.84	6187.14	116.92	0.00	1546.60	3897.58	4014.50	5444.18	5561.10	-1627.26
20	2451754	1529	2451814	637	800	1219525	3450	375	180	293885	5550	475	1	1	3	1	3	3	26	77.15	198.27	109.04	2319.98	2835.04	2005.90	5155.02	36.28	2381.43	206.18	453.61	489.89	659.79	696.07	-1552.29
21	2451754	1529	2451765	965	800	1219525	3450	375	180	293885	5550	475	2	2	3	1	2	3	25	99.00	292.05	262.84	730.25	6571.00	2475.00	7301.25	65.71	0.00	3285.50	6571.00	6636.71	9856.50	9922.21	4096.00
22	2451754	1529	2451855	725	800	1219525	3450	375	180	293885	5550	475	2	2	7	1	1	3	80	14.55	42.34	27.09	1220.00	2167.20	1164.00	3387.20	43.34	0.00	609.60	2167.20	2210.54	2776.80	2820.14	1003.20
23	2451754	1529	2451862	1393	800	1219525	3450	375	180	293885	5550	475	1	2	13	1	2	3	54	64.58	160.80	120.60	2170.80	6512.40	3487.32	8683.20	586.11	0.00	3646.62	6512.40	7098.51	10159.02	10745.13	3025.08
24	2451754	1529	2451809	1355	800	1219525	3450	375	180	293885	5550	475	2	1	20	1	3	3	30	54.81	81.11	22.71	1752.00	681.30	1644.30	2433.30	6.81	0.00	0.00	681.30	688.11	681.30	688.11	-963.00
25	2451754	1529	2451782	452	800	1219525	3450	375	180	293885	5550	475	1	2	6	1	2	3	19	87.13	170.77	155.40	292.03	2952.60	1655.47	3244.63	88.57	0.00	486.59	2952.60	3041.17	3439.19	3527.76	1297.13
26	2451754	1529	2451760	422	800	1219525	3450	375	180	293885	5550	475	1	1	16	1	1	3	29	86.36	90.67	68.90	631.33	1998.10	2504.44	2629.43	159.84	0.00	236.64	1998.10	2157.94	2234.74	2394.58	-506.34
27	2451754	1529	2451812	1721	800	1219525	3450	375	180	293885	5550	475	2	2	4	1	1	3	2	4.21	10.90	0.54	20.72	1.08	8.42	21.80	0.07	0.00	5.88	1.08	1.15	6.96	7.03	-7.34
28	2451754	1529	2451846	1079	800	1219525	3450	375	180	293885	5550	475	1	1	18	1	1	3	42	56.94	107.04	102.75	180.18	4315.50	2391.48	4495.68	43.15	0.00	1708.14	4315.50	4358.65	6023.64	6066.79	1924.02
29	2451754	1529	2451858	1817	800	1219525	3450	375	180	293885	5550	475	2	1	12	1	2	3	91	88.66	242.04	183.95	5286.19	16739.45	8068.06	22025.64	502.18	0.00	0.00	16739.45	17241.63	16739.45	17241.63	8671.39
30	2451754	1529	2451758	1556	800	1219525	3450	375	180	293885	5550	475	2	2	15	1	2	3	10	32.29	45.85	30.71	151.40	307.10	322.90	458.50	0.61	276.39	137.50	30.71	31.32	168.21	168.82	-292.19
31	2451754	1529	2451801	1688	800	1219525	3450	375	180	293885	5550	475	2	1	18	1	2	3	1	66.29	174.34	137.72	36.62	137.72	66.29	174.34	4.62	71.61	45.32	66.11	70.73	111.43	116.05	-0.18
32	2451754	1529	2451763	860	800	1219525	3450	375	180	293885	5550	475	2	2	19	1	2	3	7	66.22	145.68	144.22	10.22	1009.54	463.54	1019.76	80.76	0.00	193.69	1009.54	1090.30	1203.23	1283.99	546.00
33	2451754	1529	2451807	1813	800	1219525	3450	375	180	293885	5550	475	2	2	2	1	2	3	10	87.53	150.55	58.71	918.40	587.10	875.30	1505.50	27.12	135.03	316.10	452.07	479.19	768.17	795.29	-423.23
34	2451483	77832	2451501	985	187	512359	4331	456	757	1249940	2525	697	2	1	11	1	3	4	83	4.36	10.15	4.66	455.67	386.78	361.88	842.45	27.07	0.00	151.06	386.78	413.85	537.84	564.91	24.90
35	2451483	77832	2451554	1714	187	512359	4331	456	757	1249940	2525	697	1	2	4	1	2	4	20	71.90	103.53	85.92	352.20	1718.40	1438.00	2070.60	154.65	0.00	227.60	1718.40	1873.05	1946.00	2100.65	280.40
36	2451483	77832	2451542	1978	187	512359	4331	456	757	1249940	2525	697	2	1	12	1	3	4	26	81.47	126.27	27.77	2561.00	722.02	2118.22	3283.02	50.54	0.00	1411.54	722.02	772.56	2133.56	2184.10	-1396.20
37	2451483	77832	2451563	373	187	512359	4331	456	757	1249940	2525	697	1	2	12	1	2	4	32	30.81	40.05	22.02	576.96	704.64	985.92	1281.60	35.23	0.00	358.72	704.64	739.87	1063.36	1098.59	-281.28
38	2451483	77832	2451593	1778	187	512359	4331	456	757	1249940	2525	697	2	2	2	1	3	4	44	68.96	143.43	61.67	3597.44	2713.48	3034.24	6310.92	135.67	0.00	0.00	2713.48	2849.15	2713.48	2849.15	-320.76
39	2451483	77832	2451487	476	187	512359	4331	456	757	1249940	2525	697	2	1	12	1	3	4	41	6.21	11.92	1.31	435.01	53.71	254.61	488.72	3.75	0.00	190.24	53.71	57.46	243.95	247.70	-200.90
40	2451483	77832	2451487	578	187	512359	4331	456	757	1249940	2525	697	1	1	2	1	1	4	22	71.63	113.89	69.47	977.24	1528.34	1575.86	2505.58	137.55	0.00	1077.34	1528.34	1665.89	2605.68	2743.23	-47.52
41	2451483	77832	2451569	1105	187	512359	4331	456	757	1249940	2525	697	1	1	11	1	1	4	51	43.92	94.86	52.17	2177.19	2660.67	2239.92	4837.86	102.17	106.42	1209.21	2554.25	2656.42	3763.46	3865.63	314.33
42	2451483	77832	2451536	1096	187	512359	4331	456	757	1249940	2525	697	1	2	20	1	3	4	50	15.41	17.41	6.26	557.50	313.00	770.50	870.50	9.20	159.63	330.50	153.37	162.57	483.87	493.07	-617.13
43	2451483	77832	2451521	1460	187	512359	4331	456	757	1249940	2525	697	2	1	6	1	3	4	65	34.29	75.43	18.10	3726.45	1176.50	2228.85	4902.95	70.59	0.00	1176.50	1176.50	1247.09	2353.00	2423.59	-1052.35
44	2451483	77832	2451518	1862	187	512359	4331	456	757	1249940	2525	697	2	1	3	1	3	4	37	35.86	89.29	0.00	3303.73	0.00	1326.82	3303.73	0.00	0.00	1090.02	0.00	0.00	1090.02	1090.02	-1326.82
45	2451945	25492	2451977	1555	395	1553493	1391	89	505	1123302	983	681	2	2	6	1	1	5	57	69.75	192.51	102.03	5157.36	5815.71	3975.75	10973.07	174.47	0.00	2633.40	5815.71	5990.18	8449.11	8623.58	1839.96
46	2451945	25492	2451960	1607	395	1553493	1391	89	505	1123302	983	681	2	2	20	1	3	5	50	42.11	58.95	46.57	619.00	2328.50	2105.50	2947.50	162.99	0.00	58.50	2328.50	2491.49	2387.00	2549.99	223.00
47	2451945	25492	2452011	735	395	1553493	1391	89	505	1123302	983	681	1	1	1	1	2	5	89	70.02	77.72	55.18	2006.06	4911.02	6231.78	6917.08	147.33	0.00	2766.12	4911.02	5058.35	7677.14	7824.47	-1320.76
48	2451945	25492	2451956	1071	395	1553493	1391	89	505	1123302	983	681	1	1	19	1	1	5	69	21.00	24.36	13.64	739.68	941.16	1449.00	1680.84	9.41	0.00	487.14	941.16	950.57	1428.30	1437.71	-507.84
49	2451945	25492	2451954	653	395	1553493	1391	89	505	1123302	983	681	1	2	16	1	1	5	26	26.29	28.65	18.33	268.32	476.58	683.54	744.90	33.36	0.00	186.16	476.58	509.94	662.74	696.10	-206.96
50	2451945	25492	2451949	1759	395	1553493	1391	89	505	1123302	983	681	2	2	9	1	2	5	94	66.79	165.63	66.25	9341.72	6227.50	6278.26	15569.22	560.47	0.00	2491.00	6227.50	6787.97	8718.50	9278.97	-50.76
51	2451945	25492	2452018	323	395	1553493	1391	89	505	1123302	983	681	1	1	14	1	1	5	37	16.03	20.67	0.62	741.85	22.94	593.11	764.79	0.00	0.00	367.04	22.94	22.94	389.98	389.98	-570.17
52	2451945	25492	2452044	339	395	1553493	1391	89	505	1123302	983	681	2	2	10	1	2	5	51	10.48	30.18	23.84	323.34	1215.84	534.48	1539.18	23.58	36.47	122.91	1179.37	1202.95	1302.28	1325.86	644.89
53	2451945	25492	2452046	1379	395	1553493	1391	89	505	1123302	983	681	1	2	8	1	2	5	45	67.42	113.26	41.90	3211.20	1885.50	3033.90	5096.70	56.56	0.00	2497.05	1885.50	1942.06	4382.55	4439.11	-1148.40
54	2451945	25492	2452060	341	395	1553493	1391	89	505	1123302	983	681	2	2	6	1	1	5	3	47.96	84.88	1.69	249.57	5.07	143.88	254.64	0.20	0.00	30.54	5.07	5.27	35.61	35.81	-138.81
55	2451945	25492	2452065	1909	395	1553493	1391	89	505	1123302	983	681	1	2	2	1	3	5	71	68.25	152.19	4.56	10481.73	323.76	4845.75	10805.49	29.13	0.00	648.23	323.76	352.89	971.99	1001.12	-4521.99
56	2451945	25492	2451997	853	395	1553493	1391	89	505	1123302	983	681	2	1	7	1	3	5	57	25.26	42.18	2.53	2260.05	144.21	1439.82	2404.26	8.65	0.00	624.72	144.21	152.86	768.93	777.58	-1295.61
57	2451945	25492	2451977	305	395	1553493	1391	89	505	1123302	983	681	2	1	16	1	2	5	66	66.72	166.80	90.07	5064.18	5944.62	4403.52	11008.80	416.12	0.00	1651.32	5944.62	6360.74	7595.94	8012.06	1541.10
58	2451945	25492	2452005	1701	395	1553493	1391	89	505	1123302	983	681	2	1	9	1	1	5	60	30.82	56.70	29.48	1633.20	1768.80	1849.20	3402.00	0.00	1715.73	475.80	53.07	53.07	528.87	528.87	-1796.13
59	2451945	25492	2452002	115	395	1553493	1391	89	505	1123302	983	681	2	1	7	1	1	5	13	19.64	34.17	17.76	213.33	230.88	255.32	444.21	6.92	0.00	75.40	230.88	237.80	306.28	313.20	-24.44
60	2451945	25492	2451998	591	395	1553493	1391	89	505	1123302	983	681	2	2	7	1	1	5	63	9.36	19.74	16.38	211.68	1031.94	589.68	1243.62	35.39	526.28	522.27	505.66	541.05	1027.93	1063.32	-84.02
61	2451534	69300	2451633	1333	701	202409	1164	472	718	215362	6843	951	2	2	1	1	2	6	12	56.04	96.38	89.63	81.00	1075.56	672.48	1156.56	96.80	0.00	69.36	1075.56	1172.36	1144.92	1241.72	403.08
62	2451534	69300	2451644	127	701	202409	1164	472	718	215362	6843	951	1	1	10	1	3	6	73	36.58	41.70	35.44	456.98	2587.12	2670.34	3044.10	77.61	0.00	1247.57	2587.12	2664.73	3834.69	3912.30	-83.22
63	2451534	69300	2451610	1618	701	202409	1164	472	718	215362	6843	951	2	2	10	1	1	6	91	48.63	65.16	3.25	5633.81	295.75	4425.33	5929.56	2.95	0.00	2489.76	295.75	298.70	2785.51	2788.46	-4129.58
64	2451534	69300	2451651	1063	701	202409	1164	472	718	215362	6843	951	2	1	8	1	3	6	51	42.52	121.60	38.91	4217.19	1984.41	2168.52	6201.60	0.00	754.07	557.94	1230.34	1230.34	1788.28	1788.28	-938.18
65	2451534	69300	2451639	1111	701	202409	1164	472	718	215362	6843	951	1	1	1	1	1	6	1	99.76	206.50	0.00	206.50	0.00	99.76	206.50	0.00	0.00	33.04	0.00	0.00	33.04	33.04	-99.76
66	2451534	69300	2451583	1550	701	202409	1164	472	718	215362	6843	951	1	2	5	1	2	6	83	39.67	47.60	34.74	1067.38	2883.42	3292.61	3950.80	259.50	0.00	1026.71	2883.42	3142.92	3910.13	4169.63	-409.19
67	2451534	69300	2451576	1612	701	202409	1164	472	718	215362	6843	951	1	2	5	1	1	6	63	97.02	121.27	103.07	1146.60	6493.41	6112.26	7640.01	12.98	6233.67	2597.49	259.74	272.72	2857.23	2870.21	-5852.52
68	2451534	69300	2451604	949	701	202409	1164	472	718	215362	6843	951	2	2	2	1	3	6	11	16.62	23.76	2.61	232.65	28.71	182.82	261.36	2.29	0.00	73.15	28.71	31.00	101.86	104.15	-154.11
69	2451178	76807	2451181	1309	271	1161066	3908	303	91	233980	782	777	2	1	10	1	3	7	47	92.35	229.02	114.51	5381.97	5381.97	4340.45	10763.94	53.81	0.00	4843.35	5381.97	5435.78	10225.32	10279.13	1041.52
70	2451178	76807	2451279	1897	271	1161066	3908	303	91	233980	782	777	1	1	4	1	1	7	44	52.52	126.04	122.25	166.76	5379.00	2310.88	5545.76	430.32	0.00	1219.68	5379.00	5809.32	6598.68	7029.00	3068.12
71	2451178	76807	2451240	712	271	1161066	3908	303	91	233980	782	777	2	2	15	1	3	7	87	4.47	4.82	3.85	84.39	334.95	388.89	419.34	30.14	0.00	108.75	334.95	365.09	443.70	473.84	-53.94
72	2451178	76807	2451210	469	271	1161066	3908	303	91	233980	782	777	1	1	3	1	3	7	9	70.18	106.67	44.80	556.83	403.20	631.62	960.03	0.00	249.98	470.34	153.22	153.22	623.56	623.56	-478.40
73	2451178	76807	2451201	404	271	1161066	3908	303	91	233980	782	777	1	2	20	1	2	7	13	49.14	63.88	31.94	415.22	415.22	638.82	830.44	6.56	87.19	215.80	328.03	334.59	543.83	550.39	-310.79
74	2451178	76807	2451287	262	271	1161066	3908	303	91	233980	782	777	1	1	6	1	1	7	52	51.52	79.85	59.08	1080.04	3072.16	2679.04	4152.20	0.00	0.00	2034.24	3072.16	3072.16	5106.40	5106.40	393.12
75	2451178	76807	2451268	442	271	1161066	3908	303	91	233980	782	777	1	2	19	1	3	7	1	64.29	145.93	135.71	10.22	135.71	64.29	145.93	0.00	0.00	72.96	135.71	135.71	208.67	208.67	71.42
76	2451178	76807	2451243	542	271	1161066	3908	303	91	233980	782	777	2	2	20	1	2	7	44	94.24	201.67	12.10	8341.08	532.40	4146.56	8873.48	21.29	0.00	4170.32	532.40	553.69	4702.72	4724.01	-3614.16
77	2452190	51596	2452220	1093	108	1572482	5456	830	825	1895897	5705	479	1	2	19	1	1	8	76	55.63	72.31	54.23	1374.08	4121.48	4227.88	5495.56	82.42	0.00	164.16	4121.48	4203.90	4285.64	4368.06	-106.40
78	2452190	51596	2452307	1233	108	1572482	5456	830	825	1895897	5705	479	1	2	20	1	3	8	33	31.08	66.20	35.74	1005.18	1179.42	1025.64	2184.60	106.14	0.00	633.27	1179.42	1285.56	1812.69	1918.83	153.78
79	2452190	51596	2452216	1603	108	1572482	5456	830	825	1895897	5705	479	1	2	8	1	1	8	55	45.57	83.84	66.23	968.55	3642.65	2506.35	4611.20	218.55	0.00	1383.25	3642.65	3861.20	5025.90	5244.45	1136.30
80	2452190	51596	2452213	1541	108	1572482	5456	830	825	1895897	5705	479	1	1	14	1	1	8	70	34.71	71.50	50.05	1501.50	3503.50	2429.70	5005.00	0.00	0.00	2051.70	3503.50	3503.50	5555.20	5555.20	1073.80
81	2452190	51596	2452242	1245	108	1572482	5456	830	825	1895897	5705	479	2	2	17	1	3	8	10	28.39	67.00	7.37	596.30	73.70	283.90	670.00	1.47	0.00	180.90	73.70	75.17	254.60	256.07	-210.20
82	2452190	51596	2452221	621	108	1572482	5456	830	825	1895897	5705	479	2	1	2	1	1	8	87	88.69	201.32	30.19	14888.31	2626.53	7716.03	17514.84	0.00	0.00	1050.09	2626.53	2626.53	3676.62	3676.62	-5089.50
83	2452190	51596	2452276	163	108	1572482	5456	830	825	1895897	5705	479	1	1	13	1	2	8	22	46.33	81.54	44.84	807.40	986.48	1019.26	1793.88	49.32	0.00	807.18	986.48	1035.80	1793.66	1842.98	-32.78
84	2452190	51596	2452305	849	108	1572482	5456	830	825	1895897	5705	479	1	2	13	1	1	8	96	79.34	204.69	83.92	11593.92	8056.32	7616.64	19650.24	644.50	0.00	392.64	8056.32	8700.82	8448.96	9093.46	439.68
85	2452190	51596	2452267	1225	108	1572482	5456	830	825	1895897	5705	479	1	1	13	1	1	8	91	44.37	108.70	61.95	4254.25	5637.45	4037.67	9891.70	56.37	0.00	197.47	5637.45	5693.82	5834.92	5891.29	1599.78
86	2452190	51596	2452309	1009	108	1572482	5456	830	825	1895897	5705	479	1	2	4	1	2	8	44	70.93	75.18	10.52	2845.04	462.88	3120.92	3307.92	36.66	4.62	1223.64	458.26	494.92	1681.90	1718.56	-2662.66
87	2452190	51596	2452211	253	108	1572482	5456	830	825	1895897	5705	479	2	2	18	1	3	8	33	54.70	140.03	137.22	92.73	4528.26	1805.10	4620.99	90.56	0.00	2079.33	4528.26	4618.82	6607.59	6698.15	2723.16
88	2452190	51596	2452243	1695	108	1572482	5456	830	825	1895897	5705	479	1	1	3	1	1	8	59	25.18	37.01	0.37	2161.76	21.83	1485.62	2183.59	0.74	3.27	567.58	18.56	19.30	586.14	586.88	-1467.06
89	2452190	51596	2452305	617	108	1572482	5456	830	825	1895897	5705	479	1	1	5	1	1	8	64	5.57	7.07	1.83	335.36	117.12	356.48	452.48	0.82	105.40	153.60	11.72	12.54	165.32	166.14	-344.76
90	2452190	51596	2452192	1429	108	1572482	5456	830	825	1895897	5705	479	1	1	11	1	3	8	44	58.29	112.49	22.49	3960.00	989.56	2564.76	4949.56	89.06	0.00	247.28	989.56	1078.62	1236.84	1325.90	-1575.20
91	2452190	51596	2452242	1353	108	1572482	5456	830	825	1895897	5705	479	2	1	17	1	3	8	93	18.56	18.93	3.97	1391.28	369.21	1726.08	1760.49	0.00	0.00	704.01	369.21	369.21	1073.22	1073.22	-1356.87
92	2450900	56256	2450988	302	676	1815460	4197	581	248	1833962	39	23	1	1	10	1	3	9	16	96.14	256.69	10.26	3942.88	164.16	1538.24	4107.04	0.00	0.00	2053.44	164.16	164.16	2217.60	2217.60	-1374.08
93	2450900	56256	2450943	1316	676	1815460	4197	581	248	1833962	39	23	2	1	17	1	3	9	29	76.54	210.48	134.70	2197.62	3906.30	2219.66	6103.92	156.25	0.00	365.98	3906.30	4062.55	4272.28	4428.53	1686.64
94	2450900	56256	2450988	721	676	1815460	4197	581	248	1833962	39	23	2	1	2	1	2	9	75	77.80	126.03	113.42	945.75	8506.50	5835.00	9452.25	58.69	2637.01	2646.00	5869.49	5928.18	8515.49	8574.18	34.49
95	2450900	56256	2451000	824	676	1815460	4197	581	248	1833962	39	23	2	1	11	1	3	9	92	47.71	59.16	33.12	2395.68	3047.04	4389.32	5442.72	60.94	0.00	2012.96	3047.04	3107.98	5060.00	5120.94	-1342.28
96	2450900	56256	2450994	502	676	1815460	4197	581	248	1833962	39	23	1	2	6	1	1	9	30	84.41	243.10	126.41	3500.70	3792.30	2532.30	7293.00	303.38	0.00	802.20	3792.30	4095.68	4594.50	4897.88	1260.00
97	2450900	56256	2450983	1609	676	1815460	4197	581	248	1833962	39	23	2	2	4	1	2	9	94	93.91	145.56	1.45	13546.34	136.30	8827.54	13682.64	8.17	0.00	2325.56	136.30	144.47	2461.86	2470.03	-8691.24
98	2450900	56256	2450902	1165	676	1815460	4197	581	248	1833962	39	23	1	1	13	1	1	9	79	74.37	135.35	102.86	2566.71	8125.94	5875.23	10692.65	162.51	0.00	1496.26	8125.94	8288.45	9622.20	9784.71	2250.71

stg_web_sales.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"web_sales_renamed" AS (
    -- Rename: Renaming columns
    -- WS_SOLD_DATE_SK -> sale_date_id
    -- WS_SOLD_TIME_SK -> sale_time_id
    -- WS_SHIP_DATE_SK -> shipping_date_id
    -- WS_ITEM_SK -> item_id
    -- WS_BILL_CUSTOMER_SK -> billing_customer_id
    -- WS_BILL_CDEMO_SK -> billing_customer_demo_id
    -- WS_BILL_HDEMO_SK -> billing_household_demo_id
    -- WS_BILL_ADDR_SK -> billing_address_id
    -- WS_SHIP_CUSTOMER_SK -> shipping_customer_id
    -- WS_SHIP_CDEMO_SK -> shipping_customer_demo_id
    -- WS_SHIP_HDEMO_SK -> shipping_household_demo_id
    -- WS_SHIP_ADDR_SK -> shipping_address_id
    -- WS_WEB_PAGE_SK -> web_page_id
    -- WS_WEB_SITE_SK -> website_id
    -- WS_SHIP_MODE_SK -> shipping_mode_id
    -- WS_WAREHOUSE_SK -> warehouse_id
    -- WS_PROMO_SK -> promotion_id
    -- WS_ORDER_NUMBER -> order_id
    -- WS_QUANTITY -> quantity
    -- WS_WHOLESALE_COST -> wholesale_cost
    -- WS_LIST_PRICE -> unit_list_price
    -- WS_SALES_PRICE -> unit_sales_price
    -- WS_EXT_DISCOUNT_AMT -> total_discount_amount
    -- WS_EXT_SALES_PRICE -> total_sales_price
    -- WS_EXT_WHOLESALE_COST -> total_wholesale_cost
    -- WS_EXT_LIST_PRICE -> total_list_price
    -- WS_EXT_TAX -> total_tax_amount
    -- WS_COUPON_AMT -> coupon_amount
    -- WS_EXT_SHIP_COST -> total_shipping_cost
    -- WS_NET_PAID -> net_paid_amount
    -- WS_NET_PAID_INC_TAX -> net_paid_with_tax
    -- WS_NET_PAID_INC_SHIP -> net_paid_with_shipping
    -- WS_NET_PAID_INC_SHIP_TAX -> total_net_paid
    -- WS_NET_PROFIT -> net_profit
    SELECT 
        "WS_SOLD_DATE_SK" AS "sale_date_id",
        "WS_SOLD_TIME_SK" AS "sale_time_id",
        "WS_SHIP_DATE_SK" AS "shipping_date_id",
        "WS_ITEM_SK" AS "item_id",
        "WS_BILL_CUSTOMER_SK" AS "billing_customer_id",
        "WS_BILL_CDEMO_SK" AS "billing_customer_demo_id",
        "WS_BILL_HDEMO_SK" AS "billing_household_demo_id",
        "WS_BILL_ADDR_SK" AS "billing_address_id",
        "WS_SHIP_CUSTOMER_SK" AS "shipping_customer_id",
        "WS_SHIP_CDEMO_SK" AS "shipping_customer_demo_id",
        "WS_SHIP_HDEMO_SK" AS "shipping_household_demo_id",
        "WS_SHIP_ADDR_SK" AS "shipping_address_id",
        "WS_WEB_PAGE_SK" AS "web_page_id",
        "WS_WEB_SITE_SK" AS "website_id",
        "WS_SHIP_MODE_SK" AS "shipping_mode_id",
        "WS_WAREHOUSE_SK" AS "warehouse_id",
        "WS_PROMO_SK" AS "promotion_id",
        "WS_ORDER_NUMBER" AS "order_id",
        "WS_QUANTITY" AS "quantity",
        "WS_WHOLESALE_COST" AS "wholesale_cost",
        "WS_LIST_PRICE" AS "unit_list_price",
        "WS_SALES_PRICE" AS "unit_sales_price",
        "WS_EXT_DISCOUNT_AMT" AS "total_discount_amount",
        "WS_EXT_SALES_PRICE" AS "total_sales_price",
        "WS_EXT_WHOLESALE_COST" AS "total_wholesale_cost",
        "WS_EXT_LIST_PRICE" AS "total_list_price",
        "WS_EXT_TAX" AS "total_tax_amount",
        "WS_COUPON_AMT" AS "coupon_amount",
        "WS_EXT_SHIP_COST" AS "total_shipping_cost",
        "WS_NET_PAID" AS "net_paid_amount",
        "WS_NET_PAID_INC_TAX" AS "net_paid_with_tax",
        "WS_NET_PAID_INC_SHIP" AS "net_paid_with_shipping",
        "WS_NET_PAID_INC_SHIP_TAX" AS "total_net_paid",
        "WS_NET_PROFIT" AS "net_profit"
    FROM "web_sales"
)

-- COCOON BLOCK END
SELECT * FROM "web_sales_renamed"

stg_web_sales.yml (Document the table)

version: 2
models:
- name: stg_web_sales
  description: The table is about web sales transactions. It includes details like
    sale date, item sold, customer info, shipping details, order quantities, prices,
    costs, discounts, taxes, and profit. Each row represents a single item in an online
    order, with financial breakdowns and associated dimension keys for customer, product,
    and promotional attributes.
  columns:
  - name: sale_date_id
    description: Surrogate key for sale date
    tests:
    - not_null
  - name: sale_time_id
    description: Surrogate key for sale time
    tests:
    - not_null
  - name: shipping_date_id
    description: Surrogate key for shipping date
    tests:
    - not_null
  - name: item_id
    description: Surrogate key for item
    tests:
    - not_null
  - name: billing_customer_id
    description: Surrogate key for billing customer
    tests:
    - not_null
  - name: billing_customer_demo_id
    description: Surrogate key for billing customer demographics
    tests:
    - not_null
  - name: billing_household_demo_id
    description: Surrogate key for billing household demographics
    tests:
    - not_null
  - name: billing_address_id
    description: Surrogate key for billing address
    tests:
    - not_null
  - name: shipping_customer_id
    description: Surrogate key for shipping customer
    tests:
    - not_null
  - name: shipping_customer_demo_id
    description: Surrogate key for shipping customer demographics
    tests:
    - not_null
  - name: shipping_household_demo_id
    description: Surrogate key for shipping household demographics
    tests:
    - not_null
  - name: shipping_address_id
    description: Surrogate key for shipping address
    tests:
    - not_null
  - name: web_page_id
    description: Web page identifier for the sale
    tests:
    - not_null
  - name: website_id
    description: Website identifier for the sale
    tests:
    - not_null
  - name: shipping_mode_id
    description: Surrogate key for shipping mode
    tests:
    - not_null
  - name: warehouse_id
    description: Warehouse identifier for web sales
    tests:
    - not_null
  - name: promotion_id
    description: Surrogate key for promotion
    tests:
    - not_null
  - name: order_id
    description: Unique identifier for the order
    tests:
    - not_null
  - name: quantity
    description: Quantity of item ordered
    tests:
    - not_null
  - name: wholesale_cost
    description: Wholesale cost of the item sold
    tests:
    - not_null
  - name: unit_list_price
    description: List price per unit of item
    tests:
    - not_null
  - name: unit_sales_price
    description: Sales price per unit of item
    tests:
    - not_null
  - name: total_discount_amount
    description: Extended discount amount for item
    tests:
    - not_null
  - name: total_sales_price
    description: Extended sales price for item
    tests:
    - not_null
  - name: total_wholesale_cost
    description: Extended wholesale cost for item
    tests:
    - not_null
  - name: total_list_price
    description: Extended list price for item
    tests:
    - not_null
  - name: total_tax_amount
    description: Extended tax amount for item
    tests:
    - not_null
  - name: coupon_amount
    description: Amount of coupon applied to purchase
    tests:
    - not_null
  - name: total_shipping_cost
    description: Extended shipping cost for item
    tests:
    - not_null
  - name: net_paid_amount
    description: Net amount paid excluding shipping and tax
    tests:
    - not_null
  - name: net_paid_with_tax
    description: Net amount paid including tax
    tests:
    - not_null
  - name: net_paid_with_shipping
    description: Net amount paid including shipping
    tests:
    - not_null
  - name: total_net_paid
    description: Net amount paid including shipping and tax
    tests:
    - not_null
  - name: net_profit
    description: Net profit for item
    tests:
    - not_null

stg_customer_demographics (first 100 rows)

	education_level	gender	purchase_estimate	marital_status	credit_rating	demographic_id
0	Primary	M	500	M	Good	1
1	Primary	F	500	M	Good	2
2	Primary	M	500	S	Good	3
3	Primary	F	500	S	Good	4
4	Primary	M	500	D	Good	5
5	Primary	F	500	D	Good	6
6	Primary	M	500	W	Good	7
7	Primary	F	500	W	Good	8
8	Primary	M	500	U	Good	9
9	Primary	F	500	U	Good	10
10	Secondary	M	500	M	Good	11
11	Secondary	F	500	M	Good	12
12	Secondary	M	500	S	Good	13
13	Secondary	F	500	S	Good	14
14	Secondary	M	500	D	Good	15
15	Secondary	F	500	D	Good	16
16	Secondary	M	500	W	Good	17
17	Secondary	F	500	W	Good	18
18	Secondary	M	500	U	Good	19
19	Secondary	F	500	U	Good	20
20	College	M	500	M	Good	21
21	College	F	500	M	Good	22
22	College	M	500	S	Good	23
23	College	F	500	S	Good	24
24	College	M	500	D	Good	25
25	College	F	500	D	Good	26
26	College	M	500	W	Good	27
27	College	F	500	W	Good	28
28	College	M	500	U	Good	29
29	College	F	500	U	Good	30
30	2 yr Degree	M	500	M	Good	31
31	2 yr Degree	F	500	M	Good	32
32	2 yr Degree	M	500	S	Good	33
33	2 yr Degree	F	500	S	Good	34
34	2 yr Degree	M	500	D	Good	35
35	2 yr Degree	F	500	D	Good	36
36	2 yr Degree	M	500	W	Good	37
37	2 yr Degree	F	500	W	Good	38
38	2 yr Degree	M	500	U	Good	39
39	2 yr Degree	F	500	U	Good	40
40	4 yr Degree	M	500	M	Good	41
41	4 yr Degree	F	500	M	Good	42
42	4 yr Degree	M	500	S	Good	43
43	4 yr Degree	F	500	S	Good	44
44	4 yr Degree	M	500	D	Good	45
45	4 yr Degree	F	500	D	Good	46
46	4 yr Degree	M	500	W	Good	47
47	4 yr Degree	F	500	W	Good	48
48	4 yr Degree	M	500	U	Good	49
49	4 yr Degree	F	500	U	Good	50
50	Advanced Degree	M	500	M	Good	51
51	Advanced Degree	F	500	M	Good	52
52	Advanced Degree	M	500	S	Good	53
53	Advanced Degree	F	500	S	Good	54
54	Advanced Degree	M	500	D	Good	55
55	Advanced Degree	F	500	D	Good	56
56	Advanced Degree	M	500	W	Good	57
57	Advanced Degree	F	500	W	Good	58
58	Advanced Degree	M	500	U	Good	59
59	Advanced Degree	F	500	U	Good	60
60	None	M	500	M	Good	61
61	None	F	500	M	Good	62
62	None	M	500	S	Good	63
63	None	F	500	S	Good	64
64	None	M	500	D	Good	65
65	None	F	500	D	Good	66
66	None	M	500	W	Good	67
67	None	F	500	W	Good	68
68	None	M	500	U	Good	69
69	None	F	500	U	Good	70
70	Primary	M	1000	M	Good	71
71	Primary	F	1000	M	Good	72
72	Primary	M	1000	S	Good	73
73	Primary	F	1000	S	Good	74
74	Primary	M	1000	D	Good	75
75	Primary	F	1000	D	Good	76
76	Primary	M	1000	W	Good	77
77	Primary	F	1000	W	Good	78
78	Primary	M	1000	U	Good	79
79	Primary	F	1000	U	Good	80
80	Secondary	M	1000	M	Good	81
81	Secondary	F	1000	M	Good	82
82	Secondary	M	1000	S	Good	83
83	Secondary	F	1000	S	Good	84
84	Secondary	M	1000	D	Good	85
85	Secondary	F	1000	D	Good	86
86	Secondary	M	1000	W	Good	87
87	Secondary	F	1000	W	Good	88
88	Secondary	M	1000	U	Good	89
89	Secondary	F	1000	U	Good	90
90	College	M	1000	M	Good	91
91	College	F	1000	M	Good	92
92	College	M	1000	S	Good	93
93	College	F	1000	S	Good	94
94	College	M	1000	D	Good	95
95	College	F	1000	D	Good	96
96	College	M	1000	W	Good	97
97	College	F	1000	W	Good	98
98	College	M	1000	U	Good	99

stg_customer_demographics.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"customer_demographics_renamed" AS (
    -- Rename: Renaming columns
    -- CD_DEMO_SK -> demographic_id
    -- CD_GENDER -> gender
    -- CD_MARITAL_STATUS -> marital_status
    -- CD_EDUCATION_STATUS -> education_level
    -- CD_PURCHASE_ESTIMATE -> purchase_estimate
    -- CD_CREDIT_RATING -> credit_rating
    -- CD_DEP_COUNT -> total_dependents
    -- CD_DEP_EMPLOYED_COUNT -> employed_dependents
    -- CD_DEP_COLLEGE_COUNT -> dependents_in_college
    SELECT 
        "CD_DEMO_SK" AS "demographic_id",
        "CD_GENDER" AS "gender",
        "CD_MARITAL_STATUS" AS "marital_status",
        "CD_EDUCATION_STATUS" AS "education_level",
        "CD_PURCHASE_ESTIMATE" AS "purchase_estimate",
        "CD_CREDIT_RATING" AS "credit_rating",
        "CD_DEP_COUNT" AS "total_dependents",
        "CD_DEP_EMPLOYED_COUNT" AS "employed_dependents",
        "CD_DEP_COLLEGE_COUNT" AS "dependents_in_college"
    FROM "customer_demographics"
),

"customer_demographics_renamed_null" AS (
    -- NULL Imputation: Impute Null to Disguised Missing Values
    -- education_level: ['Unknown']
    SELECT 
        CASE
            WHEN "education_level" = 'Unknown' THEN NULL
            ELSE "education_level"
        END AS "education_level",
        "employed_dependents",
        "gender",
        "total_dependents",
        "purchase_estimate",
        "marital_status",
        "credit_rating",
        "demographic_id",
        "dependents_in_college"
    FROM "customer_demographics_renamed"
)

-- COCOON BLOCK END
SELECT * FROM "customer_demographics_renamed_null"

stg_customer_demographics.yml (Document the table)

version: 2
models:
- name: stg_customer_demographics
  description: The table is about customer demographics. It contains details such
    as gender, marital status, education level, purchase estimate, credit rating,
    and information about dependents. Each row represents a unique customer with a
    specific demographic profile identified by CD_DEMO_SK. The table provides insights
    into various characteristics of customers for analysis purposes.
  columns:
  - name: education_level
    description: Customer's highest level of education
    tests:
    - not_null
    - accepted_values:
        values:
        - No Formal Education
        - Primary
        - Secondary
        - College
        - 2 yr Degree
        - 4 yr Degree
        - Advanced Degree
        - Vocational/Technical
  - name: employed_dependents
    description: Number of employed dependents
    tests:
    - not_null
  - name: gender
    description: Customer's gender
    tests:
    - not_null
    - accepted_values:
        values:
        - M
        - F
        - O
  - name: total_dependents
    description: Total number of dependents
    tests:
    - not_null
  - name: purchase_estimate
    description: Estimated purchase amount for the customer
    tests:
    - not_null
  - name: marital_status
    description: Customer's marital status
    tests:
    - not_null
    - accepted_values:
        values:
        - D
        - M
        - S
        - W
        - U
        - P
  - name: credit_rating
    description: Customer's credit rating
    tests:
    - not_null
    - accepted_values:
        values:
        - Excellent
        - Good
        - Fair
        - Poor
        - Very Poor
  - name: demographic_id
    description: Unique identifier for customer demographic profile
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a unique identifier for customer demographic profile.
        For this table, each row represents a unique customer with a specific demographic
        profile. The demographic_id is unique across rows, as it's described as a
        "Unique identifier for customer demographic profile".
  - name: dependents_in_college
    description: Number of dependents in college
    tests:
    - not_null

stg_web_returns (first 100 rows)

	return_date_key	return_time_key	item_key	refunded_customer_key	refunded_customer_demo_key	refunded_household_demo_key	refunded_address_key	returning_customer_key	returning_customer_demo_key	returning_household_demo_key	returning_address_key	web_page_key	reason_key	order_number	return_quantity	return_amount	return_tax	return_amount_with_tax	return_fee	return_shipping_cost	refunded_cash	reversed_charge	account_credit	net_loss
0	2451653.0	7022.0	1750	224.0	1011635.0	3446.0	57.0	224.0	1011635.0	3446.0	57.0	1.0	1.0	1	10.0	698.20	13.96	712.16	18.63	820.30	300.22	382.06	15.92	852.89
1	2451627.0	64915.0	925	811.0	18405.0	199.0	793.0	811.0	18405.0	199.0	793.0	1.0	1.0	1	47.0	1248.79	49.95	1298.74	61.81	709.23	262.24	128.25	858.30	820.99
2	2452798.0	NaN	1455	NaN	31639.0	NaN	790.0	NaN	31639.0	2038.0	790.0	NaN	1.0	2	11.0	NaN	25.52	NaN	NaN	16.72	NaN	16.36	165.47	NaN
3	2452243.0	23325.0	735	687.0	663037.0	1234.0	984.0	687.0	663037.0	1234.0	984.0	1.0	1.0	5	33.0	1820.94	54.62	1875.56	70.16	1000.23	1802.73	14.56	3.65	1125.01
4	2452305.0	73981.0	1909	552.0	1104998.0	2244.0	90.0	552.0	1104998.0	2244.0	90.0	1.0	1.0	5	18.0	82.08	7.38	89.46	35.63	1342.26	38.57	19.14	24.37	1385.27
5	2451288.0	74891.0	1897	650.0	1309189.0	128.0	420.0	650.0	1309189.0	128.0	420.0	1.0	1.0	7	16.0	1956.00	156.48	2112.48	22.56	221.76	215.16	504.84	1236.00	400.80
6	2451337.0	44242.0	469	377.0	1291615.0	653.0	891.0	377.0	1291615.0	653.0	891.0	1.0	1.0	7	3.0	134.40	0.00	134.40	78.06	108.78	108.86	15.06	10.48	186.84
7	2451278.0	48347.0	542	887.0	1781163.0	3486.0	762.0	887.0	1781163.0	3486.0	762.0	2.0	1.0	7	43.0	520.30	20.81	541.11	54.02	3468.38	504.69	14.36	1.25	3543.21
8	2452098.0	72741.0	109	559.0	1010209.0	2812.0	415.0	559.0	1010209.0	2812.0	415.0	1.0	1.0	10	4.0	79.68	2.39	82.07	11.40	54.52	58.16	1.50	20.02	68.31
9	2452065.0	46137.0	629	204.0	217410.0	1416.0	222.0	204.0	217410.0	1416.0	222.0	1.0	1.0	11	28.0	707.00	28.28	735.28	16.84	382.20	424.20	248.86	33.94	427.32
10	2451936.0	25850.0	1364	623.0	1546796.0	816.0	389.0	623.0	1546796.0	816.0	389.0	1.0	1.0	11	6.0	708.66	21.25	729.91	25.19	146.10	474.80	144.99	88.87	192.54
11	2452508.0	71077.0	925	10.0	1589848.0	6933.0	371.0	10.0	1589848.0	6933.0	371.0	1.0	1.0	12	26.0	528.84	37.01	565.85	90.97	237.12	449.51	23.00	56.33	365.10
12	2451590.0	30553.0	1928	36.0	1376937.0	2285.0	586.0	36.0	1376937.0	2285.0	586.0	1.0	1.0	13	16.0	417.60	25.05	442.65	22.13	539.36	50.11	128.62	238.87	586.54
13	2452495.0	NaN	907	758.0	NaN	2243.0	NaN	758.0	1696824.0	NaN	NaN	1.0	NaN	14	4.0	NaN	NaN	NaN	11.84	NaN	9.39	NaN	NaN	NaN
14	2452566.0	67292.0	1583	337.0	970065.0	593.0	321.0	337.0	970065.0	593.0	321.0	1.0	1.0	14	5.0	219.85	15.38	235.23	28.94	233.90	147.29	42.81	29.75	278.22
15	NaN	NaN	926	NaN	NaN	2358.0	NaN	932.0	418645.0	NaN	NaN	NaN	NaN	15	24.0	NaN	NaN	NaN	54.71	62.40	NaN	129.49	60.94	143.37
16	2452567.0	26030.0	1675	543.0	1118206.0	6669.0	732.0	543.0	1118206.0	6669.0	732.0	1.0	1.0	16	40.0	1479.60	103.57	1583.17	4.99	856.80	665.82	219.72	594.06	965.36
17	2452569.0	29129.0	1879	888.0	217580.0	5919.0	658.0	888.0	217580.0	5919.0	658.0	1.0	1.0	17	10.0	69.00	6.21	75.21	60.35	19.70	31.05	11.38	26.57	86.26
18	2451692.0	37442.0	200	623.0	1176118.0	1613.0	108.0	623.0	1176118.0	1613.0	108.0	1.0	1.0	18	11.0	1628.66	32.57	1661.23	13.11	506.22	1237.78	355.70	35.18	551.90
19	2451495.0	70505.0	793	84.0	1360384.0	4437.0	537.0	84.0	1360384.0	4437.0	537.0	1.0	1.0	18	23.0	447.58	17.90	465.48	30.56	302.22	331.20	51.20	65.18	350.68
20	2451396.0	74839.0	364	NaN	NaN	NaN	NaN	767.0	NaN	3439.0	775.0	NaN	1.0	22	NaN	NaN	0.00	NaN	NaN	75.90	485.00	NaN	NaN	NaN
21	2451271.0	72837.0	188	141.0	718131.0	2368.0	405.0	141.0	718131.0	2368.0	405.0	2.0	1.0	22	30.0	247.20	9.88	257.08	23.57	717.30	229.89	15.05	2.26	750.75
22	2451430.0	NaN	313	764.0	NaN	NaN	NaN	764.0	1060754.0	5497.0	NaN	NaN	1.0	22	79.0	NaN	0.00	0.00	92.68	NaN	NaN	0.00	0.00	NaN
23	2452236.0	23926.0	997	618.0	8492.0	4766.0	440.0	618.0	8492.0	4766.0	440.0	1.0	1.0	24	9.0	107.46	3.22	110.68	54.67	33.03	33.31	68.21	5.94	90.92
24	2452273.0	38436.0	1815	71.0	1421648.0	5454.0	396.0	71.0	1421648.0	5454.0	396.0	1.0	1.0	24	8.0	252.08	15.12	267.20	62.43	12.72	133.60	29.62	88.86	90.27
25	2451372.0	50248.0	724	691.0	813091.0	5891.0	91.0	691.0	813091.0	5891.0	91.0	1.0	1.0	26	77.0	1088.78	43.55	1132.33	1.05	3811.50	163.31	397.95	527.52	3856.10
26	2451514.0	46416.0	1688	970.0	854030.0	2690.0	550.0	970.0	854030.0	2690.0	550.0	1.0	1.0	26	10.0	362.50	3.62	366.12	68.99	164.80	290.00	60.17	12.33	237.41
27	2451529.0	45968.0	500	943.0	58420.0	2297.0	421.0	943.0	58420.0	2297.0	421.0	1.0	1.0	26	35.0	340.20	13.60	353.80	50.62	453.60	336.79	2.25	1.16	517.82
28	2450982.0	37442.0	367	331.0	1565742.0	5600.0	258.0	331.0	1565742.0	5600.0	258.0	1.0	1.0	27	4.0	19.20	1.72	20.92	63.20	41.36	4.60	10.22	4.38	106.28
29	2450976.0	42382.0	274	968.0	169725.0	1529.0	286.0	968.0	169725.0	1529.0	286.0	1.0	1.0	27	11.0	380.49	15.21	395.70	76.70	77.66	144.58	11.79	224.12	169.57
30	2452492.0	36787.0	875	839.0	1060269.0	5299.0	82.0	839.0	1060269.0	5299.0	82.0	1.0	1.0	29	11.0	400.84	20.04	420.88	16.27	99.11	308.64	18.44	73.76	135.42
31	2451423.0	75368.0	1612	553.0	1687614.0	2228.0	289.0	553.0	1687614.0	2228.0	289.0	1.0	1.0	30	19.0	168.15	3.36	171.51	94.69	107.54	117.70	42.88	7.57	205.59
32	2451476.0	48229.0	80	962.0	12631.0	2900.0	369.0	962.0	12631.0	2900.0	369.0	1.0	1.0	30	5.0	18.20	0.54	18.74	11.66	8.25	2.54	5.79	9.87	20.45
33	NaN	43497.0	422	NaN	1006429.0	3340.0	251.0	318.0	1006429.0	3340.0	NaN	NaN	NaN	32	7.0	470.26	NaN	484.36	99.14	NaN	470.26	0.00	NaN	NaN
34	2451486.0	253.0	1078	754.0	998787.0	3867.0	347.0	754.0	998787.0	3867.0	347.0	1.0	1.0	32	2.0	98.40	8.85	107.25	16.33	131.22	51.16	27.87	19.37	156.40
35	2451420.0	61938.0	1816	841.0	1808855.0	5916.0	330.0	841.0	1808855.0	5916.0	330.0	1.0	1.0	32	44.0	4496.36	314.74	4811.10	5.38	1570.80	4316.50	151.08	28.78	1890.92
36	2451622.0	68694.0	1327	758.0	1477303.0	5095.0	440.0	758.0	1477303.0	5095.0	440.0	1.0	1.0	33	5.0	1231.20	24.62	1255.82	13.24	580.20	295.48	823.43	112.29	618.06
37	2451734.0	55182.0	346	341.0	914970.0	5999.0	428.0	341.0	914970.0	5999.0	428.0	1.0	1.0	33	7.0	88.34	5.30	93.64	24.45	109.27	6.18	6.57	75.59	139.02
38	2451697.0	47575.0	1963	237.0	1089705.0	4773.0	841.0	237.0	1089705.0	4773.0	841.0	1.0	1.0	33	3.0	164.85	1.64	166.49	3.49	57.06	6.59	137.68	20.58	62.19
39	2451615.0	73881.0	1663	870.0	705124.0	5978.0	32.0	870.0	705124.0	5978.0	32.0	2.0	1.0	34	32.0	4588.16	183.52	4771.68	51.92	2136.96	917.63	3523.70	146.83	2372.40
40	2452120.0	67792.0	1789	39.0	1600609.0	4132.0	502.0	39.0	1600609.0	4132.0	502.0	2.0	1.0	36	16.0	496.96	34.78	531.74	71.96	773.12	134.17	261.20	101.59	879.86
41	2452135.0	32975.0	997	233.0	680344.0	3655.0	766.0	233.0	680344.0	3655.0	766.0	2.0	1.0	36	33.0	1560.57	0.00	1560.57	73.33	845.46	1201.63	326.63	32.31	918.79
42	2452038.0	60285.0	1243	96.0	1039516.0	6936.0	109.0	96.0	1039516.0	6936.0	109.0	2.0	1.0	36	91.0	15813.07	632.52	16445.59	65.73	8008.91	13441.10	1352.02	1019.95	8707.16
43	2451873.0	61736.0	823	984.0	1914824.0	7017.0	257.0	984.0	1914824.0	7017.0	257.0	2.0	1.0	38	54.0	2243.70	179.49	2423.19	60.32	1075.68	628.23	1373.14	242.33	1315.49
44	2451812.0	17353.0	1601	13.0	691848.0	1836.0	624.0	13.0	691848.0	1836.0	624.0	1.0	1.0	38	11.0	15.18	0.00	15.18	42.63	5.50	9.71	1.53	3.94	48.13
45	2452054.0	39091.0	1411	582.0	1892903.0	2624.0	392.0	582.0	1892903.0	2624.0	392.0	1.0	1.0	39	27.0	3078.54	30.78	3109.32	79.71	1835.19	1015.91	453.77	1608.86	1945.68
46	2452413.0	27263.0	671	730.0	781278.0	1291.0	963.0	730.0	781278.0	1291.0	963.0	1.0	1.0	40	13.0	1286.22	51.44	1337.66	97.11	95.16	424.45	17.23	844.54	243.71
47	2452476.0	28293.0	1929	777.0	803717.0	3657.0	150.0	777.0	803717.0	3657.0	150.0	2.0	1.0	40	9.0	103.32	1.03	104.35	31.68	2.79	76.45	7.25	19.62	35.50
48	2451905.0	55597.0	1441	775.0	962709.0	43.0	624.0	775.0	962709.0	43.0	624.0	2.0	1.0	41	56.0	4452.00	311.64	4763.64	63.92	3368.96	1958.88	797.79	1695.33	3744.52
49	2451845.0	42388.0	104	546.0	1391011.0	5229.0	847.0	546.0	1391011.0	5229.0	847.0	1.0	1.0	41	29.0	1387.36	69.36	1456.72	14.34	818.67	194.23	608.49	584.64	902.37
50	2451261.0	73439.0	1195	NaN	NaN	NaN	964.0	NaN	NaN	NaN	964.0	1.0	NaN	42	NaN	NaN	NaN	NaN	58.60	192.76	80.02	54.48	39.46	NaN
51	2452078.0	22372.0	643	386.0	435559.0	2685.0	258.0	386.0	435559.0	2685.0	258.0	2.0	1.0	43	58.0	4257.20	85.14	4342.34	99.74	1530.04	2469.17	1609.22	178.81	1714.92
52	2451335.0	79473.0	1706	442.0	1432457.0	2425.0	840.0	442.0	1432457.0	2425.0	840.0	1.0	1.0	44	13.0	45.63	3.65	49.28	49.66	0.00	39.24	1.53	4.86	53.31
53	2451441.0	11487.0	1021	405.0	1361990.0	4975.0	407.0	405.0	1361990.0	4975.0	407.0	1.0	1.0	45	43.0	4438.89	133.16	4572.05	83.51	466.98	532.66	2187.48	1718.75	683.65
54	2452105.0	59457.0	979	913.0	1423984.0	4102.0	373.0	913.0	1423984.0	4102.0	373.0	2.0	1.0	46	61.0	704.55	49.31	753.86	33.45	3012.79	295.91	302.39	106.25	3095.55
55	2451677.0	33194.0	1975	918.0	1366834.0	2750.0	819.0	918.0	1366834.0	2750.0	819.0	2.0	1.0	48	9.0	216.81	17.34	234.15	19.81	45.63	21.68	35.12	160.01	82.78
56	2452561.0	35610.0	918	81.0	788648.0	5815.0	582.0	81.0	788648.0	5815.0	582.0	2.0	1.0	49	79.0	10628.66	744.00	11372.66	88.50	2361.31	8502.92	1658.07	467.67	3193.81
57	2452060.0	60418.0	1241	908.0	793212.0	2516.0	620.0	908.0	793212.0	2516.0	620.0	1.0	1.0	51	9.0	355.32	10.65	365.97	99.51	193.77	309.12	6.00	40.20	303.93
58	2452077.0	13035.0	923	668.0	1078154.0	4240.0	373.0	668.0	1078154.0	4240.0	373.0	1.0	1.0	51	58.0	6574.88	460.24	7035.12	57.17	3221.32	1380.72	4051.44	1142.72	3738.73
59	NaN	71745.0	1470	NaN	NaN	2111.0	323.0	NaN	NaN	2111.0	NaN	1.0	1.0	52	NaN	765.16	NaN	834.02	32.04	229.40	NaN	215.16	351.06	330.30
60	2451900.0	32899.0	1283	971.0	1300813.0	208.0	250.0	971.0	1300813.0	208.0	250.0	1.0	1.0	53	2.0	97.88	1.95	99.83	22.48	13.64	80.26	5.46	12.16	38.07
61	2451958.0	26993.0	782	631.0	1375925.0	1419.0	466.0	631.0	1375925.0	1419.0	466.0	1.0	1.0	53	13.0	1368.77	82.12	1450.89	88.01	727.09	191.62	235.43	941.72	897.22
62	NaN	NaN	79	NaN	NaN	6738.0	460.0	NaN	1500216.0	NaN	NaN	1.0	1.0	55	7.0	70.70	4.94	NaN	38.47	NaN	42.42	4.24	NaN	71.20
63	NaN	NaN	874	NaN	NaN	NaN	NaN	199.0	NaN	NaN	7.0	1.0	1.0	56	NaN	1717.20	154.54	1871.74	3.62	356.40	NaN	NaN	NaN	NaN
64	2451384.0	77186.0	50	380.0	1708805.0	5983.0	608.0	380.0	1708805.0	5983.0	608.0	2.0	1.0	57	19.0	2002.03	120.12	2122.15	71.12	302.10	1301.31	119.12	581.60	493.34
65	2451443.0	45709.0	1165	800.0	1777124.0	1248.0	619.0	800.0	1777124.0	1248.0	619.0	1.0	1.0	58	9.0	740.34	22.21	762.55	37.92	174.78	222.10	67.37	450.87	234.91
66	2451759.0	67735.0	1687	138.0	821188.0	5885.0	135.0	138.0	821188.0	5885.0	135.0	2.0	1.0	59	26.0	789.36	71.04	860.40	6.20	134.94	149.97	421.99	217.40	212.18
67	2451560.0	59013.0	1712	883.0	539803.0	6923.0	843.0	883.0	539803.0	6923.0	843.0	1.0	1.0	63	31.0	191.58	3.83	195.41	1.63	739.35	42.14	127.02	22.42	744.81
68	NaN	NaN	158	670.0	103015.0	NaN	NaN	NaN	103015.0	2160.0	705.0	NaN	NaN	64	36.0	1086.12	32.58	1118.70	4.75	NaN	NaN	NaN	543.61	NaN
69	2451547.0	32382.0	1507	101.0	99551.0	3001.0	251.0	101.0	99551.0	3001.0	251.0	2.0	1.0	66	7.0	368.97	0.00	368.97	48.34	12.81	99.62	37.70	231.65	61.15
70	2452027.0	26463.0	85	973.0	277684.0	1748.0	259.0	973.0	277684.0	1748.0	259.0	1.0	1.0	69	57.0	5985.57	359.13	6344.70	89.65	1056.21	2394.22	2944.90	646.45	1504.99
71	2452341.0	68091.0	1985	911.0	1511560.0	5409.0	658.0	911.0	1511560.0	5409.0	658.0	2.0	1.0	72	20.0	3750.00	187.50	3937.50	62.87	742.20	187.50	1959.37	1603.13	992.57
72	2452196.0	78918.0	1673	224.0	1559926.0	6228.0	130.0	224.0	1559926.0	6228.0	130.0	1.0	1.0	72	2.0	72.30	4.33	76.63	96.96	24.44	65.79	5.46	1.05	125.73
73	2452538.0	5244.0	821	195.0	94659.0	276.0	493.0	195.0	94659.0	276.0	493.0	1.0	1.0	73	4.0	208.84	0.00	208.84	90.81	202.68	154.54	19.00	35.30	293.49
74	2452648.0	69373.0	91	326.0	571505.0	5084.0	663.0	326.0	571505.0	5084.0	663.0	1.0	1.0	75	35.0	2668.05	80.04	2748.09	62.33	361.20	1414.06	463.97	790.02	503.57
75	2452670.0	41829.0	1035	961.0	4573.0	4185.0	397.0	961.0	4573.0	4185.0	397.0	2.0	1.0	75	23.0	1807.80	0.00	1807.80	14.00	766.36	379.63	1142.53	285.64	780.36
76	2451916.0	34658.0	1189	828.0	990174.0	2720.0	666.0	828.0	990174.0	2720.0	666.0	2.0	1.0	76	72.0	2581.92	77.45	2659.37	20.09	5286.96	568.02	2013.90	0.00	5384.50
77	2451616.0	51966.0	328	626.0	1703073.0	4720.0	567.0	626.0	1703073.0	4720.0	567.0	2.0	1.0	77	8.0	25.28	0.75	26.03	61.93	0.00	11.12	12.17	1.99	62.68
78	NaN	NaN	895	99.0	NaN	6659.0	NaN	99.0	1634079.0	NaN	NaN	NaN	NaN	77	NaN	1934.50	NaN	NaN	45.51	NaN	NaN	NaN	NaN	838.39
79	2451617.0	28361.0	244	939.0	1603349.0	4959.0	369.0	939.0	1603349.0	4959.0	369.0	2.0	1.0	79	21.0	919.59	18.39	937.98	21.38	509.04	478.18	8.82	432.59	548.81
80	2451871.0	54886.0	1723	537.0	1097050.0	610.0	523.0	537.0	1097050.0	610.0	523.0	1.0	1.0	79	33.0	606.87	36.41	643.28	32.97	290.73	54.61	276.13	276.13	360.11
81	2451726.0	26757.0	524	212.0	1794817.0	4822.0	674.0	212.0	1794817.0	4822.0	674.0	2.0	1.0	81	17.0	371.28	29.70	400.98	28.14	85.68	226.48	50.68	94.12	143.52
82	2452486.0	46513.0	573	862.0	897323.0	1384.0	245.0	862.0	897323.0	1384.0	245.0	1.0	1.0	83	20.0	104.00	0.00	104.00	21.18	333.00	86.32	9.19	8.49	354.18
83	2452557.0	65926.0	681	87.0	1208787.0	7087.0	34.0	87.0	1208787.0	7087.0	34.0	2.0	1.0	83	29.0	300.15	0.00	300.15	44.01	2552.00	168.08	109.61	22.46	2596.01
84	2451280.0	25318.0	1318	396.0	1857247.0	3251.0	702.0	396.0	1857247.0	3251.0	702.0	2.0	1.0	84	2.0	96.36	3.85	100.21	85.73	33.88	30.83	43.90	21.63	123.46
85	2451393.0	62509.0	1954	660.0	1078409.0	3158.0	707.0	660.0	1078409.0	3158.0	707.0	2.0	1.0	84	18.0	265.50	2.65	268.15	49.10	165.24	45.13	103.57	116.80	216.99
86	2452735.0	NaN	1633	6.0	533478.0	2797.0	NaN	6.0	533478.0	NaN	469.0	NaN	NaN	85	NaN	20.20	NaN	NaN	NaN	15.50	19.59	NaN	NaN	102.28
87	2452663.0	51913.0	276	493.0	1729053.0	5813.0	973.0	493.0	1729053.0	5813.0	973.0	2.0	1.0	85	34.0	567.80	5.67	573.47	72.34	1817.30	22.71	196.23	348.86	1895.31
88	2451723.0	72393.0	448	324.0	159786.0	601.0	216.0	324.0	159786.0	601.0	216.0	1.0	1.0	86	16.0	56.48	0.00	56.48	78.57	53.60	46.31	2.64	7.53	132.17
89	2451599.0	60380.0	926	909.0	361910.0	864.0	65.0	909.0	361910.0	864.0	65.0	2.0	1.0	86	22.0	3938.88	157.55	4096.43	78.70	1140.04	590.83	1941.86	1406.19	1376.29
90	2452181.0	69772.0	1235	789.0	1625335.0	281.0	27.0	789.0	1625335.0	281.0	27.0	1.0	1.0	87	11.0	1976.59	39.53	2016.12	74.21	951.61	316.25	1278.46	381.88	1065.35
91	NaN	67250.0	187	NaN	254698.0	NaN	424.0	NaN	254698.0	NaN	NaN	NaN	1.0	91	NaN	NaN	89.14	1079.59	NaN	NaN	NaN	NaN	2.98	NaN
92	2452382.0	45230.0	1065	884.0	1353432.0	7180.0	328.0	884.0	1353432.0	7180.0	328.0	2.0	1.0	92	15.0	54.30	1.62	55.92	48.55	37.95	53.21	1.07	0.02	88.12
93	2452555.0	53480.0	1305	174.0	1417259.0	6897.0	535.0	174.0	1417259.0	6897.0	535.0	1.0	1.0	92	18.0	1303.56	117.32	1420.88	71.91	477.90	404.10	638.61	260.85	667.13
94	2452790.0	34442.0	1896	372.0	463802.0	4985.0	815.0	372.0	463802.0	4985.0	815.0	2.0	1.0	93	21.0	1923.81	115.42	2039.23	57.75	72.03	1365.90	530.01	27.90	245.20
95	2452775.0	70628.0	661	176.0	1018443.0	4910.0	377.0	176.0	1018443.0	4910.0	377.0	2.0	1.0	93	88.0	11567.60	115.67	11683.27	84.79	5192.88	4280.01	1967.64	5319.95	5393.34
96	2452056.0	77444.0	569	134.0	701863.0	3839.0	768.0	134.0	701863.0	3839.0	768.0	2.0	1.0	95	11.0	1553.64	124.29	1677.93	50.63	493.46	450.55	573.60	529.49	668.38
97	NaN	NaN	715	NaN	253586.0	7137.0	935.0	788.0	253586.0	NaN	935.0	NaN	1.0	96	NaN	NaN	NaN	NaN	NaN	NaN	175.30	10.67	NaN	NaN
98	2452085.0	44364.0	791	385.0	1635385.0	3585.0	385.0	385.0	1635385.0	3585.0	385.0	2.0	1.0	98	44.0	96.80	6.77	103.57	87.44	549.56	90.02	2.23	4.55	643.77

stg_web_returns.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"web_returns_renamed" AS (
    -- Rename: Renaming columns
    -- WR_RETURNED_DATE_SK -> return_date_key
    -- WR_RETURNED_TIME_SK -> return_time_key
    -- WR_ITEM_SK -> item_key
    -- WR_REFUNDED_CUSTOMER_SK -> refunded_customer_key
    -- WR_REFUNDED_CDEMO_SK -> refunded_customer_demo_key
    -- WR_REFUNDED_HDEMO_SK -> refunded_household_demo_key
    -- WR_REFUNDED_ADDR_SK -> refunded_address_key
    -- WR_RETURNING_CUSTOMER_SK -> returning_customer_key
    -- WR_RETURNING_CDEMO_SK -> returning_customer_demo_key
    -- WR_RETURNING_HDEMO_SK -> returning_household_demo_key
    -- WR_RETURNING_ADDR_SK -> returning_address_key
    -- WR_WEB_PAGE_SK -> web_page_key
    -- WR_REASON_SK -> reason_key
    -- WR_ORDER_NUMBER -> order_number
    -- WR_RETURN_QUANTITY -> return_quantity
    -- WR_RETURN_AMT -> return_amount
    -- WR_RETURN_TAX -> return_tax
    -- WR_RETURN_AMT_INC_TAX -> return_amount_with_tax
    -- WR_FEE -> return_fee
    -- WR_RETURN_SHIP_COST -> return_shipping_cost
    -- WR_REFUNDED_CASH -> refunded_cash
    -- WR_REVERSED_CHARGE -> reversed_charge
    -- WR_ACCOUNT_CREDIT -> account_credit
    -- WR_NET_LOSS -> net_loss
    SELECT 
        "WR_RETURNED_DATE_SK" AS "return_date_key",
        "WR_RETURNED_TIME_SK" AS "return_time_key",
        "WR_ITEM_SK" AS "item_key",
        "WR_REFUNDED_CUSTOMER_SK" AS "refunded_customer_key",
        "WR_REFUNDED_CDEMO_SK" AS "refunded_customer_demo_key",
        "WR_REFUNDED_HDEMO_SK" AS "refunded_household_demo_key",
        "WR_REFUNDED_ADDR_SK" AS "refunded_address_key",
        "WR_RETURNING_CUSTOMER_SK" AS "returning_customer_key",
        "WR_RETURNING_CDEMO_SK" AS "returning_customer_demo_key",
        "WR_RETURNING_HDEMO_SK" AS "returning_household_demo_key",
        "WR_RETURNING_ADDR_SK" AS "returning_address_key",
        "WR_WEB_PAGE_SK" AS "web_page_key",
        "WR_REASON_SK" AS "reason_key",
        "WR_ORDER_NUMBER" AS "order_number",
        "WR_RETURN_QUANTITY" AS "return_quantity",
        "WR_RETURN_AMT" AS "return_amount",
        "WR_RETURN_TAX" AS "return_tax",
        "WR_RETURN_AMT_INC_TAX" AS "return_amount_with_tax",
        "WR_FEE" AS "return_fee",
        "WR_RETURN_SHIP_COST" AS "return_shipping_cost",
        "WR_REFUNDED_CASH" AS "refunded_cash",
        "WR_REVERSED_CHARGE" AS "reversed_charge",
        "WR_ACCOUNT_CREDIT" AS "account_credit",
        "WR_NET_LOSS" AS "net_loss"
    FROM "web_returns"
)

-- COCOON BLOCK END
SELECT * FROM "web_returns_renamed"

stg_web_returns.yml (Document the table)

version: 2
models:
- name: stg_web_returns
  description: The table is about web returns. It includes details like return date,
    item, customer, quantities, amounts, and reasons. Each row represents a single
    return transaction. Financial information covers refunded amounts, taxes, fees,
    and net losses. Customer details for both the refunding and returning customers
    are included, along with web page and reason codes.
  columns:
  - name: return_date_key
    description: Surrogate key for return date
    tests:
    - not_null
  - name: return_time_key
    description: Surrogate key for return time
    tests:
    - not_null
  - name: item_key
    description: Surrogate key for the returned item
    tests:
    - not_null
  - name: refunded_customer_key
    description: Surrogate key for refunded customer
    tests:
    - not_null
  - name: refunded_customer_demo_key
    description: Surrogate key for refunded customer demographics
    tests:
    - not_null
  - name: refunded_household_demo_key
    description: Surrogate key for refunded household demographics
    tests:
    - not_null
  - name: refunded_address_key
    description: Surrogate key for refunded address
    tests:
    - not_null
  - name: returning_customer_key
    description: Surrogate key for returning customer
    tests:
    - not_null
  - name: returning_customer_demo_key
    description: Surrogate key for returning customer demographics
    tests:
    - not_null
  - name: returning_household_demo_key
    description: Surrogate key for returning household demographics
    tests:
    - not_null
  - name: returning_address_key
    description: Surrogate key for returning address
    tests:
    - not_null
  - name: web_page_key
    description: Surrogate key for web page
    cocoon_meta:
      missing_acceptable: Not applicable for non-web orders or returns.
  - name: reason_key
    description: Surrogate key for the return reason
    tests:
    - not_null
  - name: order_number
    description: Original order number for the return
    tests:
    - not_null
  - name: return_quantity
    description: Quantity of items returned
    tests:
    - not_null
  - name: return_amount
    description: Return amount before tax
    tests:
    - not_null
  - name: return_tax
    description: Tax amount for the return
    tests:
    - not_null
  - name: return_amount_with_tax
    description: Return amount including tax
    tests:
    - not_null
  - name: return_fee
    description: Fee associated with the return
    tests:
    - not_null
  - name: return_shipping_cost
    description: Shipping cost for the return
    tests:
    - not_null
  - name: refunded_cash
    description: Cash amount refunded
    tests:
    - not_null
  - name: reversed_charge
    description: Reversed charge amount for the return
    tests:
    - not_null
  - name: account_credit
    description: Account credit amount for the return
    tests:
    - not_null
  - name: net_loss
    description: Net loss amount for the return
    tests:
    - not_null

stg_warehouse (first 100 rows)

	warehouse_surrogate_key	W_WAREHOUSE_ID	W_WAREHOUSE_NAME	warehouse_size_sqft	warehouse_street_type	warehouse_suite_number	warehouse_city	warehouse_county	warehouse_state	warehouse_country	warehouse_timezone_offset	warehouse_street_name	warehouse_street_number	warehouse_zip_code
0	1	AAAAAAAABAAAAAAA	Conventional children	977787	Parkway	Suite 470	Midway	Williamson County	TN	United States	-5	6th	651	31904

stg_warehouse.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"warehouse_renamed" AS (
    -- Rename: Renaming columns
    -- W_WAREHOUSE_SK -> warehouse_surrogate_key
    -- W_WAREHOUSE_SQ_FT -> warehouse_size_sqft
    -- W_STREET_NUMBER -> warehouse_street_number
    -- W_STREET_NAME -> warehouse_street_name
    -- W_STREET_TYPE -> warehouse_street_type
    -- W_SUITE_NUMBER -> warehouse_suite_number
    -- W_CITY -> warehouse_city
    -- W_COUNTY -> warehouse_county
    -- W_STATE -> warehouse_state
    -- W_ZIP -> warehouse_zip_code
    -- W_COUNTRY -> warehouse_country
    -- W_GMT_OFFSET -> warehouse_timezone_offset
    SELECT 
        "W_WAREHOUSE_SK" AS "warehouse_surrogate_key",
        "W_WAREHOUSE_ID",
        "W_WAREHOUSE_NAME",
        "W_WAREHOUSE_SQ_FT" AS "warehouse_size_sqft",
        "W_STREET_NUMBER" AS "warehouse_street_number",
        "W_STREET_NAME" AS "warehouse_street_name",
        "W_STREET_TYPE" AS "warehouse_street_type",
        "W_SUITE_NUMBER" AS "warehouse_suite_number",
        "W_CITY" AS "warehouse_city",
        "W_COUNTY" AS "warehouse_county",
        "W_STATE" AS "warehouse_state",
        "W_ZIP" AS "warehouse_zip_code",
        "W_COUNTRY" AS "warehouse_country",
        "W_GMT_OFFSET" AS "warehouse_timezone_offset"
    FROM "warehouse"
),

"warehouse_renamed_trimmed" AS (
    -- Trim Leading and Trailing Spaces
    SELECT
        "warehouse_surrogate_key",
        "W_WAREHOUSE_ID",
        "W_WAREHOUSE_NAME",
        "warehouse_size_sqft",
        "warehouse_street_number",
        "warehouse_street_type",
        "warehouse_suite_number",
        "warehouse_city",
        "warehouse_county",
        "warehouse_state",
        "warehouse_zip_code",
        "warehouse_country",
        "warehouse_timezone_offset",
        TRIM("warehouse_street_name") AS "warehouse_street_name"
    FROM "warehouse_renamed"
),

"warehouse_renamed_trimmed_cleaned" AS (
    -- Clean unusual string values: 
    -- W_WAREHOUSE_NAME: The problem is that the value 'Conventional childr' appears to be truncated. It's likely that this is meant to be 'Conventional children' or possibly 'Conventional child'. Given that this is a warehouse name, it's more likely to be 'Conventional children' as it probably refers to a warehouse for conventional children's products. 
    SELECT
        "warehouse_surrogate_key",
        "W_WAREHOUSE_ID",
        CASE
            WHEN "W_WAREHOUSE_NAME" = 'Conventional childr' THEN 'Conventional children'
            ELSE "W_WAREHOUSE_NAME"
        END AS "W_WAREHOUSE_NAME",
        "warehouse_size_sqft",
        "warehouse_street_number",
        "warehouse_street_type",
        "warehouse_suite_number",
        "warehouse_city",
        "warehouse_county",
        "warehouse_state",
        "warehouse_zip_code",
        "warehouse_country",
        "warehouse_timezone_offset",
        "warehouse_street_name"
    FROM "warehouse_renamed_trimmed"
),

"warehouse_renamed_trimmed_cleaned_casted" AS (
    -- Column Type Casting: 
    -- warehouse_street_number: from INT to VARCHAR
    -- warehouse_zip_code: from INT to VARCHAR
    SELECT
        "warehouse_surrogate_key",
        "W_WAREHOUSE_ID",
        "W_WAREHOUSE_NAME",
        "warehouse_size_sqft",
        "warehouse_street_type",
        "warehouse_suite_number",
        "warehouse_city",
        "warehouse_county",
        "warehouse_state",
        "warehouse_country",
        "warehouse_timezone_offset",
        "warehouse_street_name",
        CAST("warehouse_street_number" AS VARCHAR) AS "warehouse_street_number",
        CAST("warehouse_zip_code" AS VARCHAR) AS "warehouse_zip_code"
    FROM "warehouse_renamed_trimmed_cleaned"
)

-- COCOON BLOCK END
SELECT * FROM "warehouse_renamed_trimmed_cleaned_casted"

stg_warehouse.yml (Document the table)

version: 2
models:
- name: stg_warehouse
  description: The table is about warehouses. It contains details of each warehouse
    such as its unique identifier, name, size, address (including street, city, state,
    country), and time zone offset. The table likely serves as a central repository
    for warehouse information in a larger database system.
  columns:
  - name: warehouse_surrogate_key
    description: Surrogate key for the warehouse
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key, which is typically an artificially
        created unique identifier for each row in a database table. For this table,
        each row represents a unique warehouse. A surrogate key is designed to be
        unique across rows.
  - name: W_WAREHOUSE_ID
    description: Unique identifier for the warehouse
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is described as a unique identifier for the warehouse.
        For this table, each row represents a unique warehouse, and a unique identifier
        should be unique across all warehouses.
  - name: W_WAREHOUSE_NAME
    description: Name of the warehouse
    tests:
    - not_null
  - name: warehouse_size_sqft
    description: Size of the warehouse in square feet
    tests:
    - not_null
  - name: warehouse_street_type
    description: Type of street (e.g., Avenue, Road, etc.)
    tests:
    - not_null
    - accepted_values:
        values:
        - Avenue
        - Boulevard
        - Circle
        - Court
        - Crescent
        - Drive
        - Lane
        - Parkway
        - Place
        - Plaza
        - Road
        - Square
        - Street
        - Terrace
        - Trail
        - Way
        - Alley
        - Mews
        - Passage
        - Row
  - name: warehouse_suite_number
    description: Suite number of the warehouse
    tests:
    - not_null
  - name: warehouse_city
    description: City where the warehouse is located
    tests:
    - not_null
  - name: warehouse_county
    description: County where the warehouse is located
    tests:
    - not_null
  - name: warehouse_state
    description: State or province where the warehouse is located
    tests:
    - not_null
  - name: warehouse_country
    description: Country where the warehouse is located
    tests:
    - not_null
  - name: warehouse_timezone_offset
    description: Time zone offset from GMT
    tests:
    - not_null
  - name: warehouse_street_name
    description: Name of the street where warehouse is located
    tests:
    - not_null
  - name: warehouse_street_number
    description: Street number of the warehouse
    tests:
    - not_null
  - name: warehouse_zip_code
    description: Zip or postal code of the warehouse
    tests:
    - not_null

stg_household_demographics (first 100 rows)

	household_demographic_id	income_band_id	household_buying_potential
0	1	2	0-500
1	2	3	0-500
2	3	4	0-500
3	4	5	0-500
4	5	6	0-500
5	6	7	0-500
6	7	8	0-500
7	8	9	0-500
8	9	10	0-500
9	10	11	0-500
10	11	12	0-500
11	12	13	0-500
12	13	14	0-500
13	14	15	0-500
14	15	16	0-500
15	16	17	0-500
16	17	18	0-500
17	18	19	0-500
18	19	20	0-500
19	20	1	501-1000
20	21	2	501-1000
21	22	3	501-1000
22	23	4	501-1000
23	24	5	501-1000
24	25	6	501-1000
25	26	7	501-1000
26	27	8	501-1000
27	28	9	501-1000
28	29	10	501-1000
29	30	11	501-1000
30	31	12	501-1000
31	32	13	501-1000
32	33	14	501-1000
33	34	15	501-1000
34	35	16	501-1000
35	36	17	501-1000
36	37	18	501-1000
37	38	19	501-1000
38	39	20	501-1000
39	40	1	1001-5000
40	41	2	1001-5000
41	42	3	1001-5000
42	43	4	1001-5000
43	44	5	1001-5000
44	45	6	1001-5000
45	46	7	1001-5000
46	47	8	1001-5000
47	48	9	1001-5000
48	49	10	1001-5000
49	50	11	1001-5000
50	51	12	1001-5000
51	52	13	1001-5000
52	53	14	1001-5000
53	54	15	1001-5000
54	55	16	1001-5000
55	56	17	1001-5000
56	57	18	1001-5000
57	58	19	1001-5000
58	59	20	1001-5000
59	60	1	5001-10000
60	61	2	5001-10000
61	62	3	5001-10000
62	63	4	5001-10000
63	64	5	5001-10000
64	65	6	5001-10000
65	66	7	5001-10000
66	67	8	5001-10000
67	68	9	5001-10000
68	69	10	5001-10000
69	70	11	5001-10000
70	71	12	5001-10000
71	72	13	5001-10000
72	73	14	5001-10000
73	74	15	5001-10000
74	75	16	5001-10000
75	76	17	5001-10000
76	77	18	5001-10000
77	78	19	5001-10000
78	79	20	5001-10000
79	80	1	>10000
80	81	2	>10000
81	82	3	>10000
82	83	4	>10000
83	84	5	>10000
84	85	6	>10000
85	86	7	>10000
86	87	8	>10000
87	88	9	>10000
88	89	10	>10000
89	90	11	>10000
90	91	12	>10000
91	92	13	>10000
92	93	14	>10000
93	94	15	>10000
94	95	16	>10000
95	96	17	>10000
96	97	18	>10000
97	98	19	>10000
98	99	20	>10000

stg_household_demographics.sql (clean the table)

-- COCOON BLOCK START: PLEASE DO NOT MODIFY THIS BLOCK FOR SELF-MAINTENANCE
WITH 
"household_demographics_renamed" AS (
    -- Rename: Renaming columns
    -- HD_DEMO_SK -> household_demographic_id
    -- HD_INCOME_BAND_SK -> income_band_id
    -- HD_BUY_POTENTIAL -> household_buying_potential
    -- HD_DEP_COUNT -> dependent_count
    -- HD_VEHICLE_COUNT -> vehicle_count
    SELECT 
        "HD_DEMO_SK" AS "household_demographic_id",
        "HD_INCOME_BAND_SK" AS "income_band_id",
        "HD_BUY_POTENTIAL" AS "household_buying_potential",
        "HD_DEP_COUNT" AS "dependent_count",
        "HD_VEHICLE_COUNT" AS "vehicle_count"
    FROM "household_demographics"
)

-- COCOON BLOCK END
SELECT * FROM "household_demographics_renamed"

stg_household_demographics.yml (Document the table)

version: 2
models:
- name: stg_household_demographics
  description: The table is about household demographics. It includes details such
    as income band, buying potential, number of dependents, and vehicle count. Each
    row represents a unique household with a specific demographic profile. The table
    provides insights into the economic status and composition of different households.
  columns:
  - name: household_demographic_id
    description: Unique identifier for each household demographic
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a unique identifier for each household demographic.
        For this table, each row represents a unique household with a specific demographic
        profile. household_demographic_id is unique across rows, as it's designed
        to be the primary identifier for each record.
  - name: income_band_id
    description: Income band identifier for the household
    tests:
    - not_null
  - name: household_buying_potential
    description: Estimated buying potential range of the household
    tests:
    - not_null
    - accepted_values:
        values:
        - 1001-5000
        - 5001-10000
        - 501-1000
        - '>10000'
        - 0-500
  - name: dependent_count
    description: Number of dependents in the household
    tests:
    - not_null
  - name: vehicle_count
    description: Number of vehicles owned by the household
    tests:
    - not_null

Some tables log change events, which may be redundant to query. Instead, we take a snapshot of the latest.

snapshot_store (first 100 rows)

	store_id	store_surrogate_key	store_floor_space	company_id	store_country	store_state	store_street_type	store_hours	store_county	market_manager	store_gmt_offset	store_city	store_tax_percentage	employee_count	store_suite_number	store_street_name	store_manager	market_id	division_id	record_start_date	store_close_date	store_street_number	store_zip_code
0	AAAAAAAACAAAAAAA	2	5285950	1	United States	TN	Dr.	8AM-4PM	Williamson County	David Lamontagne	-5	Midway	0.03	236	Suite 410	Sycamore	Scott Smith	8	1	1997-03-13	NaN	255	31904
1	AAAAAAAABAAAAAAA	1	5250760	1	United States	TN	Way	8AM-4PM	Williamson County	Charles Bartley	-5	Midway	0.03	245	Suite 250	Spring	William Ward	2	1	1997-03-13	2451189.0	767	31904

snapshot_store.sql (clean the table)

-- Slowly Changing Dimension: Dimension keys are "store_id"
-- Effective date columns are "record_end_date"
-- We will create Type 1 SCD (latest snapshot)
SELECT 
    "store_id",
    "store_surrogate_key",
    "store_floor_space",
    "company_id",
    "store_country",
    "store_state",
    "store_street_type",
    "store_hours",
    "store_county",
    "market_manager",
    "store_gmt_offset",
    "store_city",
    "store_tax_percentage",
    "employee_count",
    "store_suite_number",
    "store_street_name",
    "store_manager",
    "market_id",
    "division_id",
    "record_start_date",
    "store_close_date",
    "store_street_number",
    "store_zip_code"
FROM (
     SELECT 
            "store_id",
            "store_surrogate_key",
            "store_floor_space",
            "company_id",
            "store_country",
            "store_state",
            "store_street_type",
            "store_hours",
            "store_county",
            "market_manager",
            "store_gmt_offset",
            "store_city",
            "store_tax_percentage",
            "employee_count",
            "store_suite_number",
            "store_street_name",
            "store_manager",
            "market_id",
            "division_id",
            "record_start_date",
            "store_close_date",
            "store_street_number",
            "store_zip_code",
            ROW_NUMBER() OVER (
                PARTITION BY "store_id" 
                ORDER BY "record_end_date" 
            DESC) AS "cocoon_rn"
    FROM "stg_store"
) ranked
WHERE "cocoon_rn" = 1

snapshot_store.yml (Document the table)

version: 2
models:
- name: snapshot_store
  description: The table is about current retail store information. It tracks the
    most recent version of each store's details, including ID, location, size, employees,
    operating hours, and management. It contains financial data like tax percentage
    and geographical information such as GMT offset. The table includes market, division,
    and company identifiers for each store. It omits historical versions and date
    tracking columns.
  columns:
  - name: store_id
    description: Unique identifier for the store
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: Unique dimension key, derived from the slowly changing dimension
  - name: store_surrogate_key
    description: Surrogate key for the store
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This is an artificial key created to uniquely identify each store.
        In a well-designed database, this should be unique for each store entry.
  - name: store_floor_space
    description: Floor space of the store in square units
    tests:
    - not_null
  - name: company_id
    description: Unique identifier for the company
    tests:
    - not_null
  - name: store_country
    description: Country where the store is located
    tests:
    - not_null
  - name: store_state
    description: State where the store is located
    tests:
    - not_null
    - accepted_values:
        values:
        - AL
        - AK
        - AZ
        - AR
        - CA
        - CO
        - CT
        - DE
        - FL
        - GA
        - HI
        - ID
        - IL
        - IN
        - IA
        - KS
        - KY
        - LA
        - ME
        - MD
        - MA
        - MI
        - MN
        - MS
        - MO
        - MT
        - NE
        - NV
        - NH
        - NJ
        - NM
        - NY
        - NC
        - ND
        - OH
        - OK
        - OR
        - PA
        - RI
        - SC
        - SD
        - TN
        - TX
        - UT
        - VT
        - VA
        - WA
        - WV
        - WI
        - WY
  - name: store_street_type
    description: Type of street (e.g., Ave, St, Blvd)
    tests:
    - not_null
    - accepted_values:
        values:
        - St
        - Ave
        - Blvd
        - Dr
        - Ln
        - Rd
        - Way
        - Pl
        - Ct
        - Ter
        - Cir
        - Pkwy
        - Hwy
        - Expy
        - Fwy
        - Aly
        - Bnd
        - Crst
        - Xing
        - Sq
        - Trl
        - Loop
        - Dr.
  - name: store_hours
    description: Operating hours of the store
    tests:
    - not_null
  - name: store_county
    description: County where the store is located
    tests:
    - not_null
  - name: market_manager
    description: Name of the market manager
    tests:
    - not_null
  - name: store_gmt_offset
    description: GMT offset of the store's timezone
    tests:
    - not_null
  - name: store_city
    description: City where the store is located
    tests:
    - not_null
  - name: store_tax_percentage
    description: Tax percentage applicable to the store
    tests:
    - not_null
  - name: employee_count
    description: Number of employees in the store
    tests:
    - not_null
  - name: store_suite_number
    description: Suite number of the store
    tests:
    - not_null
  - name: store_street_name
    description: Name of the street where store is located
    tests:
    - not_null
  - name: store_manager
    description: Name of the store manager
    tests:
    - not_null
  - name: market_id
    description: Unique identifier for the market
    tests:
    - not_null
  - name: division_id
    description: Unique identifier for the division
    tests:
    - not_null
  - name: record_start_date
    description: Start date of the record
    tests:
    - not_null
  - name: store_close_date
    description: Date when the store was closed
    cocoon_meta:
      missing_acceptable: Not applicable for stores still in operation.
  - name: store_street_number
    description: Street number of the store
    tests:
    - not_null
  - name: store_zip_code
    description: ZIP code of the store location
    tests:
    - not_null
cocoon_meta:
  scd_base_table: stg_store

snapshot_item (first 100 rows)

	UNIT_OF_MEASURE	ITEM_DESCRIPTION	MANUFACTURER_ID	CONTAINER_TYPE	SUBCATEGORY	CATEGORY_NAME	CATEGORY_ID	MANAGER_ID	SIZE_	ITEM_SURROGATE_KEY	CURRENT_PRICE	FORMULATION_CODE	COLOR	ITEM_ID	WHOLESALE_COST	SUBCATEGORY_ID	BRAND_NAME	PRODUCT_NAME	BRAND_ID	RECORD_START_DATE
0	Cup	Applicable versions feel so silly peasants. Lessons make relatively for example medical leaves. Details might want criminal, id	47	Unknown	swimwear	Women	1	18	medium	55	0.99	7975726dodger7126990	ghost	AAAAAAAAHDAAAAAA	0.79	4	edu packamalg #2	anti	1004002	1997-10-27
1	Carton	F	630	Unknown	toddlers	Children	3	25	extralarge	8	2.76	35123wheat3256343398	turquoise	AAAAAAAAIAAAAAAA	0.85	3	exportiexporti #1	eing	3003001	1997-10-27
2	Case	None	124	Unknown	Rock	Music	5	59	None	44	5.20	salmon36671081354930	chocolate	AAAAAAAAMCAAAAAA	1.71	1	amalgscholar #1	esese	5001001	1997-10-27
3	Dram	Teachers carry by the children; old democrats enco	460	Unknown	hockey	Sports	8	6	None	14	1.85	1144670162goldenrod2	red	AAAAAAAAOAAAAAAA	0.59	7	brandnameless #5	eseought	8007005	1997-10-27
4	Ounce	None	385	Unknown	televisions	Electronics	10	2	None	79	2.87	sandy027498424299031	papaya	AAAAAAAAPEAAAAAA	1.37	9	maxiunivamalg #12	station	10009012	1997-10-27
5	Case	Very private features may not like newspapers. Intently right groups try very enquiries; too good minutes want less limited employers. Books ought to provide accounta	865	Unknown	memory	Electronics	10	14	None	53	8.26	moccasin133060463675	peru	AAAAAAAAEDAAAAAA	2.47	10	univamalgamalg #3	prianti	3002001	1999-10-28
6	Teaspoon	Cuts may hold already; daughters can like exclusively pregnant, fresh police; actual,	413	Unknown	school-uniforms	Children	3	57	medium	59	38.82	602196716medium47751	sandy	AAAAAAAAKDAAAAAA	15.13	3	edu packexporti #2	stanti	3004002	1999-10-28
7	Tablespoon	Institutions ought to provide good agents; large, comfortable	276	Unknown	Pop	Music	5	95	None	95	2.55	414160524grey3616827	pale	AAAAAAAAOFAAAAAA	1.30	3	exportischolar #2	anti	5003002	1999-10-28
8	Teaspoon	Victorian miles would reform as well relationships. However tired institutions will send. Dramatically likely rats catch in a teams. Years may spend nearly mass, high	553	Unknown	arts	Books	9	5	None	35	2.32	khaki119648424197997	green	AAAAAAAACCAAAAAA	1.11	1	amalgmaxi #12	anti	10007001	1999-10-28
9	Bunch	Cheap problems can draw please over good stars. Either long children would pass similar, different metres; base, large surroundings	933	Unknown	sports-apparel	Men	2	36	medium	38	16.70	5red3080638918015686	violet	AAAAAAAAGCAAAAAA	8.01	4	edu packimporto #1	eingpri	2004001	1997-10-27
10	Bundle	Both new conditions ask acute, ashamed pupils. Short, poor fami	363	Unknown	scanners	Electronics	10	27	None	65	73.24	567702bisque83928674	blue	AAAAAAAAAEAAAAAA	54.19	8	namelessunivamalg #15	anti	10008015	1999-10-28
11	Ton	None	364	Unknown	sports-apparel	Men	2	13	large	19	10.61	85seashell1303417084	smoke	AAAAAAAADBAAAAAA	4.77	4	edu packimporto #2	stought	2004002	1997-10-27
12	Bundle	Major brothers must not mean true annual, aware workers. Regulations will let more mechanisms. English pictures take tha	338	Unknown	swimwear	Women	1	18	large	25	75.28	90papaya546284022999	purple	AAAAAAAAJBAAAAAA	50.43	4	edu packamalg #2	anti	1004002	1997-10-27
13	Bunch	Correct, fo	625	Unknown	estate	Jewelry	6	26	None	11	54.87	snow1543775706017405	yellow	AAAAAAAAKAAAAAAA	4.11	14	edu packbrand #4	oughtought	10008011	1999-10-28
14	Pound	None	176	Unknown	musicals	Electronics	10	74	None	91	0.64	2925royal36510681005	lace	AAAAAAAALFAAAAAA	0.28	6	corpunivamalg #7	oughtst	10006007	1997-10-27
15	Cup	Activities cover	140	Unknown	athletic-wear	Shoes	4	72	small	50	4.99	1446003050medium4139	papaya	AAAAAAAACDAAAAAA	3.54	4	edu packedu pack #1	bar	4004001	1997-10-27
16	Each	Children could not influence most flat, careful figures. Local, true stars could commend. As scottish blocks want still old benefits. Skills should not try precisely. Y	622	Unknown	pendants	Jewelry	6	5	None	83	4.25	146048520linen957568	misty	AAAAAAAACFAAAAAA	1.17	4	brandcorp #4	pring	4004001	1999-10-28
17	Pallet	Parents like only new demands. Current players let charges. Specific, young towns realise however countr	985	Unknown	diamonds	Jewelry	6	2	None	86	0.87	642534525118salmon94	powder	AAAAAAAAGFAAAAAA	0.74	2	importocorp #7	cally	6002007	1997-10-27
18	Tablespoon	None	653	Unknown	maternity	Women	1	3	small	73	41.16	03293333saddle019730	misty	AAAAAAAAJEAAAAAA	27.57	3	exportiamalg #2	priation	1003002	1997-10-27
19	Pallet	None	301	Unknown	travel	Books	9	19	None	43	6.08	19orchid108200357725	firebrick	AAAAAAAALCAAAAAA	4.86	10	univunivamalg #8	priese	9010008	1997-10-27
20	Dram	Dominant, christian pp. may not raise	117	Unknown	accessories	Men	2	41	extralarge	17	6.49	452645olive281530722	snow	AAAAAAAAABAAAAAA	0.14	1	amalgimporto #2	ation	1002001	1999-10-28
21	None	None	443	Unknown	school-uniforms	Children	3	56	large	49	8.01	027315130steel656106	powder	AAAAAAAABDAAAAAA	2.48	4	edu packexporti #2	stese	3004002	1997-10-27
22	Gross	None	275	Unknown	fiction	Books	9	5	None	97	57.09	96goldenrod451188509	rose	AAAAAAAABGAAAAAA	32.54	15	scholarunivamalg #2	ation	9015002	1997-10-27
23	Bunch	False opportunities would run alone with a views. Early approaches would show inc, european intentions; important, main passages shall know urban,	294	Unknown	dresses	Women	1	98	small	2	1.12	516steel060826230906	rosy	AAAAAAAACAAAAAAA	0.38	1	amalgamalg #1	able	1001001	1997-10-27
24	Gram	Legal, foreign days know losses; briefly equivalent arguments will expect today. New, front grounds look hot, other aspects. Actually national husbands show usually of course other stations; huge, k	995	Unknown	maternity	Women	1	21	extralarge	20	29.35	97245417ivory0043452	tan	AAAAAAAAEBAAAAAA	18.78	3	exportiamalg #1	bar	1003001	1997-10-27
25	Bunch	Below long minutes make primarily by a months. Secure effects get much upo	260	Unknown	karaoke	Electronics	10	44	None	23	3.73	569seashell149755477	papaya	AAAAAAAAGBAAAAAA	1.41	5	scholarunivamalg #7	priable	10005006	1999-10-28
26	Box	Hands cannot show just administrative studies. Powerful orders come fiscal thanks. Major, certain nurses work still relative pa	26	Unknown	sports-apparel	Men	2	31	small	26	2.77	thistle3370503164308	spring	AAAAAAAAKBAAAAAA	1.91	4	edu packimporto #1	cally	2004001	1997-10-27
27	Ounce	Around single relations clear heavily over a controls. Arms could leave signs. T	46	Unknown	toddlers	Children	3	88	small	77	0.90	140503351631sienna87	purple	AAAAAAAAMEAAAAAA	2.76	3	exportiexporti #2	ation	3003002	1999-10-28
28	None	Employers w	547	Unknown	optics	Sports	8	12	None	92	4.48	1906778941seashell97	indian	AAAAAAAAMFAAAAAA	2.64	9	maxinameless #3	able	8009003	1997-10-27
29	Carton	None	209	Unknown	swimwear	Women	1	35	large	29	1.04	56715743614hot522158	yellow	AAAAAAAAMBAAAAAA	0.07	3	edu packamalg #2	stable	3003001	1999-10-28
30	Cup	Normal systems would join simply different theories. Full, new clothes may eat instead achievements. D	220	Unknown	shirts	Men	2	27	small	5	4.00	42214rosy28066558020	pink	AAAAAAAAEAAAAAAA	1.76	2	importoimporto #2	anti	2002002	1999-10-28
31	Teaspoon	Anxious accounts must catch also years. Revolutionary, large directors used to embrace then mo	214	Unknown	newborn	Children	3	64	small	7	9.94	6moccasin24027188872	spring	AAAAAAAAHAAAAAAA	6.75	1	amalgexporti #2	ation	3001002	1997-10-27
32	Bunch	Deep good activities should resist to a substances; that is beautiful businessmen like problems. Late huge meet	310	Unknown	toddlers	Children	3	85	small	41	4.40	09031176427khaki3414	red	AAAAAAAAICAAAAAA	8.63	8	exportiexporti #2	oughtese	7008001	1999-10-28
33	Teaspoon	Events might shape successfully; recent flowers should trace alike hard questions. Small areas could not give easy, enthusiastic ends. Obvious	412	Unknown	disk-drives	Electronics	10	5	None	56	7.44	45885navy00969807009	hot	AAAAAAAAIDAAAAAA	3.94	11	amalgamalgamalg #6	cally	10011006	1997-10-27
34	Ounce	None	285	Unknown	fiction	Books	9	57	None	67	1.47	583spring53597495026	black	AAAAAAAADEAAAAAA	0.83	15	scholarunivamalg #8	ation	9015008	1997-10-27
35	Ounce	General stars believe for example at a	445	Unknown	sports	Books	9	26	None	71	3.21	purple89249207875245	lavender	AAAAAAAAGEAAAAAA	2.53	14	edu packunivamalg #12	oughtation	9014012	1999-10-28
36	Dram	Emotional, nuclear farmers can understand also in t	99	Unknown	women's watches	Shoes	4	5	small	47	3.00	115838salmon36529828	peru	AAAAAAAAOCAAAAAA	1.74	1	amalgedu pack #2	ation	6012007	1999-10-28
37	Bundle	Clearly due proceedings should compensate particular, main agreements. Heels may not deny later easily different spaces; vast, additional items might export fresh, only sentences. Patients expand	489	Unknown	accessories	Men	2	28	small	37	2.42	8violet4563425031455	rose	AAAAAAAAFCAAAAAA	0.87	1	amalgimporto #2	ation	2001002	1997-10-27
38	Ounce	Again common customers should make hardly proposals. Close groups can prevent after a cars. Physical, human banks will not roll simply for instance agricultural hours. Northern centre	156	Unknown	pants	Men	2	66	small	85	39.31	859187711467pale4603	sky	AAAAAAAAFFAAAAAA	34.98	3	exportiimporto #2	anti	2003002	1997-10-27
39	Carton	Clergy ought	954	Unknown	sports-apparel	Men	2	17	small	74	3.91	8341981838751coral30	papaya	AAAAAAAAKEAAAAAA	1.44	4	edu packimporto #1	eseation	2004001	1997-10-27
40	Dram	Different numbers might not visit; rights used to remember. Labour students must put as slowly possible children. Never	431	Unknown	curtains-and-drapes	Home	7	7	None	32	1.77	royal348530153475607	turquoise	AAAAAAAAACAAAAAA	1.00	4	edu packbrand #3	able	7004003	1997-10-27
41	Case	None	785	Unknown	musicals	Electronics	10	22	None	61	0.50	83227powder377577506	gainsboro	AAAAAAAANDAAAAAA	0.22	6	corpunivamalg #11	oughtcally	10006011	1997-10-27
42	Teaspoon	None	52	Unknown	Pop	Music	5	6	None	1	27.02	3663peru009490160959	spring	AAAAAAAABAAAAAAA	23.23	3	exportischolar #2	ought	5003002	1997-10-27
43	Ton	Opportunities clear there. Basic rules ask british locations. More financial visits construct other funds. Unk	302	Unknown	outdoor	Sports	8	24	None	98	3.16	01882924064yellow241	medium	AAAAAAAACGAAAAAA	2.18	8	namelessnameless #9	eingst	8008009	1997-10-27
44	Carton	None	76	Unknown	sports-apparel	Men	2	35	small	68	6.93	16294729rose54248882	navy	AAAAAAAAEEAAAAAA	3.11	4	edu packimporto #1	eingcally	2004001	1997-10-27
45	Bundle	Particular, armed costs ought to spin certainly. Events get in the costs. Late, parliamentary foods shall not arrest there able men. Other, difficult officers hold high interests. Model shares dre	376	Unknown	kids	Shoes	4	38	None	80	2.16	26985wheat7381826860	yellow	AAAAAAAAAFAAAAAA	1.59	3	exportiedu pack #1	bar	4003001	1997-10-27
46	Bundle	None	967	Unknown	accessories	Men	2	5	large	89	4.79	97346sandy2527135842	coral	AAAAAAAAIFAAAAAA	3.44	1	amalgimporto #2	sting	3001001	1999-10-28
47	Bundle	Hard, private departments spoil more quickly possible members; clear troops fail only needs.	167	Unknown	costumes	Jewelry	6	51	None	13	8.76	883208731996blue7862	olive	AAAAAAAANAAAAAAA	7.62	12	importobrand #6	priought	6012006	1997-10-27
48	Bunch	Either british authorities would receive slightly. Yesterday unique clothes work seldom old sales. Famous, possible programmes take reall	633	Unknown	bracelets	Jewelry	6	84	None	62	3.49	206thistle2954355697	violet	AAAAAAAAODAAAAAA	1.18	4	edu packcorp #7	able	6004007	1997-10-27
49	Each	None	167	Unknown	fishing	Sports	8	98	None	31	8.48	7wheat78839382233684	lawn	AAAAAAAAPBAAAAAA	3.30	15	scholarmaxi #2	oughtpri	8015002	1997-10-27

snapshot_item.sql (clean the table)

-- Slowly Changing Dimension: Dimension keys are "ITEM_ID"
-- Effective date columns are "RECORD_END_DATE"
-- We will create Type 1 SCD (latest snapshot)
SELECT 
    "UNIT_OF_MEASURE",
    "ITEM_DESCRIPTION",
    "MANUFACTURER_ID",
    "CONTAINER_TYPE",
    "SUBCATEGORY",
    "CATEGORY_NAME",
    "CATEGORY_ID",
    "MANAGER_ID",
    "SIZE_",
    "ITEM_SURROGATE_KEY",
    "CURRENT_PRICE",
    "FORMULATION_CODE",
    "COLOR",
    "ITEM_ID",
    "WHOLESALE_COST",
    "SUBCATEGORY_ID",
    "BRAND_NAME",
    "PRODUCT_NAME",
    "BRAND_ID",
    "RECORD_START_DATE"
FROM (
     SELECT 
            "UNIT_OF_MEASURE",
            "ITEM_DESCRIPTION",
            "MANUFACTURER_ID",
            "CONTAINER_TYPE",
            "SUBCATEGORY",
            "CATEGORY_NAME",
            "CATEGORY_ID",
            "MANAGER_ID",
            "SIZE_",
            "ITEM_SURROGATE_KEY",
            "CURRENT_PRICE",
            "FORMULATION_CODE",
            "COLOR",
            "ITEM_ID",
            "WHOLESALE_COST",
            "SUBCATEGORY_ID",
            "BRAND_NAME",
            "PRODUCT_NAME",
            "BRAND_ID",
            "RECORD_START_DATE",
            ROW_NUMBER() OVER (
                PARTITION BY "ITEM_ID" 
                ORDER BY "RECORD_END_DATE" 
            DESC) AS "cocoon_rn"
    FROM "stg_item"
) ranked
WHERE "cocoon_rn" = 1

snapshot_item.yml (Document the table)

version: 2
models:
- name: snapshot_item
  description: The table is about current item information for sale. It tracks the
    most recent version of each unique product. The table includes details like item
    ID, price, cost, brand, category, size, color, and product name. It serves as
    an up-to-date product database, likely for a retail or e-commerce system. Each
    row represents the latest information for a distinct item, without historical
    versions or date tracking.
  columns:
  - name: UNIT_OF_MEASURE
    description: Unit of measurement for the item
    tests:
    - not_null
  - name: ITEM_DESCRIPTION
    description: Detailed description of the item
    tests:
    - not_null
  - name: MANUFACTURER_ID
    description: Unique identifier for the manufacturer
    tests:
    - not_null
  - name: CONTAINER_TYPE
    description: Container type for the item
    tests:
    - not_null
    - accepted_values:
        values:
        - Unknown
        - Box
        - Bag
        - Bottle
        - Can
        - Jar
        - Tube
        - Pouch
        - Carton
        - Crate
        - Barrel
        - Drum
        - Sack
        - Tub
        - Tank
        - Pallet
        - Tray
        - Envelope
        - Bin
        - Basket
        - Container (generic)
  - name: SUBCATEGORY
    description: Subcategory or class of the item
    tests:
    - not_null
  - name: CATEGORY_NAME
    description: Main category of the item
    tests:
    - not_null
    - accepted_values:
        values:
        - Children
        - Men
        - Women
        - Jewelry
        - Electronics
        - Books
        - Music
        - Shoes
        - Sports
        - Home
        - Beauty
        - Toys
        - Automotive
        - Garden
        - Pet Supplies
        - Food & Grocery
        - Health
  - name: CATEGORY_ID
    description: Unique identifier for the category
    tests:
    - not_null
  - name: MANAGER_ID
    description: Identifier for the item manager
    tests:
    - not_null
  - name: SIZE_
    description: Size of the item
    tests:
    - not_null
    - accepted_values:
        values:
        - tiny
        - small
        - medium
        - large
        - extralarge
        - huge
        - gigantic
  - name: ITEM_SURROGATE_KEY
    description: Surrogate key for the item
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column appears to be a unique identifier for each item. For
        this table, each row represents a unique item or a version of an item over
        time. ITEM_SURROGATE_KEY is unique across rows in the given sample, and its
        name suggests it's designed to be a unique identifier.
  - name: CURRENT_PRICE
    description: Current selling price of the item
    tests:
    - not_null
  - name: FORMULATION_CODE
    description: Unique product formulation code
    tests:
    - not_null
  - name: COLOR
    description: Color of the item
    tests:
    - not_null
  - name: ITEM_ID
    description: Unique alphanumeric identifier for the item
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: Unique dimension key, derived from the slowly changing dimension
  - name: WHOLESALE_COST
    description: Wholesale cost of the item
    tests:
    - not_null
  - name: SUBCATEGORY_ID
    description: Unique identifier for the subcategory
    tests:
    - not_null
  - name: BRAND_NAME
    description: Brand name of the item
    tests:
    - not_null
  - name: PRODUCT_NAME
    description: Name of the product
    tests:
    - not_null
  - name: BRAND_ID
    description: Unique identifier for the brand
    tests:
    - not_null
  - name: RECORD_START_DATE
    description: Start date of the item record
    tests:
    - not_null
cocoon_meta:
  scd_base_table: stg_item

snapshot_call_center (first 100 rows)

	call_center_name	suite_number	street_name	street_type	size_class	open_date_key	company_id	state	manager_name	square_footage	call_center_surrogate_key	operating_hours	division_name	county	market_manager_name	company_name	employee_count	city	country	market_id	division_id	tax_percentage	call_center_id	call_center_zip_code	closed_date_key	gmt_offset	record_start_date	street_number
0	Mid Atlantic	Suite 70	Center Hill	Way	medium	2450806	1	TN	Felipe Perkins	2268	2	24 hours	anti	Williamson County	Julius Durham	ought	6	Midway	United States	2	5	0.12	AAAAAAAACAAAAAAA	31904	None	-5.0	1998-01-01	984
1	NY Metro	Suite 0	Ash Hill	Boulevard	large	2450952	6	TN	Bob Belcher	1138	1	8AM-4PM	pri	Williamson County	Julius Tran	cally	2	Midway	United States	6	3	0.11	AAAAAAAABAAAAAAA	31904	None	-5.0	1998-01-01	730

snapshot_call_center.sql (clean the table)

-- Slowly Changing Dimension: Dimension keys are "call_center_id"
-- Effective date columns are "record_end_date"
-- We will create Type 1 SCD (latest snapshot)
SELECT 
    "call_center_name",
    "suite_number",
    "street_name",
    "street_type",
    "size_class",
    "open_date_key",
    "company_id",
    "state",
    "manager_name",
    "square_footage",
    "call_center_surrogate_key",
    "operating_hours",
    "division_name",
    "county",
    "market_manager_name",
    "company_name",
    "employee_count",
    "city",
    "country",
    "market_id",
    "division_id",
    "tax_percentage",
    "call_center_id",
    "call_center_zip_code",
    "closed_date_key",
    "gmt_offset",
    "record_start_date",
    "street_number"
FROM (
     SELECT 
            "call_center_name",
            "suite_number",
            "street_name",
            "street_type",
            "size_class",
            "open_date_key",
            "company_id",
            "state",
            "manager_name",
            "square_footage",
            "call_center_surrogate_key",
            "operating_hours",
            "division_name",
            "county",
            "market_manager_name",
            "company_name",
            "employee_count",
            "city",
            "country",
            "market_id",
            "division_id",
            "tax_percentage",
            "call_center_id",
            "call_center_zip_code",
            "closed_date_key",
            "gmt_offset",
            "record_start_date",
            "street_number",
            ROW_NUMBER() OVER (
                PARTITION BY "call_center_id" 
                ORDER BY "record_end_date" 
            DESC) AS "cocoon_rn"
    FROM "stg_call_center"
) ranked
WHERE "cocoon_rn" = 1

snapshot_call_center.yml (Document the table)

version: 2
models:
- name: snapshot_call_center
  description: The table contains current information about call centers. It tracks
    the most recent version of each call center's details, including location, size,
    management, operational attributes, and financial aspects. Each row represents
    a unique call center with its latest data. The table excludes historical versions
    and version tracking columns, focusing on the up-to-date snapshot of call center
    information.
  columns:
  - name: call_center_name
    description: Name of the call center
    tests:
    - not_null
    - unique
    - accepted_values:
        values:
        - Mid Atlantic
        - NY Metro
        - New England
        - Southeast
        - Midwest
        - Southwest
        - West Coast
        - Northwest
        - South Central
        - Mountain
        - Hawaii
        - Alaska
    cocoon_meta:
      uniqueness: This column represents the name of the call center. For this table,
        each row is for a distinct call center. The call_center_name is likely to
        be unique across rows as it's common for businesses to have unique names for
        different locations.
  - name: suite_number
    description: Suite number of the call center
    tests:
    - not_null
  - name: street_name
    description: Street name of the call center address
    tests:
    - not_null
  - name: street_type
    description: Street type of the call center address
    tests:
    - not_null
    - accepted_values:
        values:
        - Street
        - Avenue
        - Boulevard
        - Way
        - Road
        - Lane
        - Drive
        - Place
        - Court
        - Terrace
        - Circle
        - Alley
        - Square
        - Parkway
        - Highway
        - Crescent
  - name: size_class
    description: Size classification of the call center
    tests:
    - not_null
    - accepted_values:
        values:
        - small
        - medium
        - large
  - name: open_date_key
    description: Surrogate key for the opening date
    tests:
    - not_null
  - name: company_id
    description: Company identifier
    tests:
    - not_null
  - name: state
    description: State where the call center is located
    tests:
    - not_null
  - name: manager_name
    description: Name of the call center manager
    tests:
    - not_null
  - name: square_footage
    description: Square footage of the call center
    tests:
    - not_null
  - name: call_center_surrogate_key
    description: Surrogate key for the call center
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is explicitly described as a surrogate key for the call
        center. For this table, each row is for a distinct call center. Surrogate
        keys are typically designed to be unique identifiers, so this is likely to
        be unique across rows.
  - name: operating_hours
    description: Operating hours of the call center
    tests:
    - not_null
    - accepted_values:
        values:
        - 24 hours
        - 8AM-4PM
        - 9AM-5PM
        - 8AM-8PM
        - 7AM-7PM
        - 6AM-10PM
        - 8AM-6PM
        - 9AM-6PM
        - 10AM-6PM
        - 7AM-3PM
        - 3PM-11PM
        - 11PM-7AM
        - 9AM-9PM
        - 8:30AM-5:30PM
        - 7:30AM-4:30PM
  - name: division_name
    description: Name of the division
    tests:
    - not_null
  - name: county
    description: County where the call center is located
    tests:
    - not_null
  - name: market_manager_name
    description: Name of the market manager
    tests:
    - not_null
  - name: company_name
    description: Name of the company
    tests:
    - not_null
  - name: employee_count
    description: Number of employees in the call center
    tests:
    - not_null
  - name: city
    description: City where the call center is located
    tests:
    - not_null
  - name: country
    description: Country where the call center is located
    tests:
    - not_null
  - name: market_id
    description: Market identifier
    tests:
    - not_null
  - name: division_id
    description: Division identifier
    tests:
    - not_null
  - name: tax_percentage
    description: Tax percentage applicable to the call center
    tests:
    - not_null
  - name: call_center_id
    description: Unique identifier for the call center
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: Unique dimension key, derived from the slowly changing dimension
  - name: call_center_zip_code
    description: Zip code of the call center location
    tests:
    - not_null
  - name: closed_date_key
    description: Surrogate key for the closing date
    cocoon_meta:
      missing_acceptable: Not applicable for call centers still in operation.
  - name: gmt_offset
    description: GMT offset of the call center location
    tests:
    - not_null
  - name: record_start_date
    description: Start date of the record
    tests:
    - not_null
  - name: street_number
    description: Street number of the call center address
    tests:
    - not_null
cocoon_meta:
  scd_base_table: stg_call_center

snapshot_web_page (first 100 rows)

	page_surrogate_key	page_id	customer_id	url	page_type	character_count	link_count	image_count	max_ad_count	creation_date	is_auto_generated	last_access_date	record_start_date
0	2	AAAAAAAACAAAAAAA	NaN	http://www.foo.com	protected	1564	4	3	1	4850815.0	False	4893168.0	1997-09-03
1	1	AAAAAAAABAAAAAAA	539.0	http://www.foo.com	welcome	2531	8	3	4	4850811.0	True	4893208.0	1997-09-03

snapshot_web_page.sql (clean the table)

-- Slowly Changing Dimension: Dimension keys are "page_id"
-- Effective date columns are "record_end_date"
-- We will create Type 1 SCD (latest snapshot)
SELECT 
    "page_surrogate_key",
    "page_id",
    "customer_id",
    "url",
    "page_type",
    "character_count",
    "link_count",
    "image_count",
    "max_ad_count",
    "creation_date",
    "is_auto_generated",
    "last_access_date",
    "record_start_date"
FROM (
     SELECT 
            "page_surrogate_key",
            "page_id",
            "customer_id",
            "url",
            "page_type",
            "character_count",
            "link_count",
            "image_count",
            "max_ad_count",
            "creation_date",
            "is_auto_generated",
            "last_access_date",
            "record_start_date",
            ROW_NUMBER() OVER (
                PARTITION BY "page_id" 
                ORDER BY "record_end_date" 
            DESC) AS "cocoon_rn"
    FROM "stg_web_page"
) ranked
WHERE "cocoon_rn" = 1

snapshot_web_page.yml (Document the table)

version: 2
models:
- name: snapshot_web_page
  description: The table is about web pages. It tracks the most recent version of
    each page. It includes details like page ID, customer ID, URL, page type, and
    various metrics. The table contains information on character count, link count,
    image count, and maximum ad count. It also includes creation date, auto-generation
    status, and last access date for each page.
  columns:
  - name: page_surrogate_key
    description: Surrogate key for the web page
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column appears to be a unique identifier for each row in the
        table. For this table, each row represents a specific version of a web page,
        and the page_surrogate_key seems to uniquely identify each record.
  - name: page_id
    description: Unique identifier for the web page
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: Unique dimension key, derived from the slowly changing dimension
  - name: customer_id
    description: Customer identifier associated with the page
    tests:
    - not_null
  - name: url
    description: URL of the web page
    tests:
    - not_null
    - accepted_values:
        values:
        - http://www.foo.com
        - https://www.foo.com
        - www.foo.com
  - name: page_type
    description: Type or category of the web page
    tests:
    - not_null
  - name: character_count
    description: Number of characters in the web page
    tests:
    - not_null
  - name: link_count
    description: Number of links on the web page
    tests:
    - not_null
  - name: image_count
    description: Number of images on the web page
    tests:
    - not_null
  - name: max_ad_count
    description: Maximum number of ads allowed on the page
    tests:
    - not_null
  - name: creation_date
    description: Date when the web page was created
    tests:
    - not_null
  - name: is_auto_generated
    description: Indicates if the page was automatically generated
    tests:
    - not_null
  - name: last_access_date
    description: Date when the web page was last accessed
    tests:
    - not_null
  - name: record_start_date
    description: Start date of the record's validity period
    tests:
    - not_null
cocoon_meta:
  scd_base_table: stg_web_page

snapshot_catalog_page (first 100 rows)

	page_surrogate_key	page_id	start_date_key	department	catalog_id	page_number	catalog_type	page_description
0	3	AAAAAAAADAAAAAAA	2450815	DEPARTMENT	1	3.0	bi-annual	Times could not address disabled indians. Effectively public ports c
1	84	AAAAAAAAEFAAAAAA	2450815	DEPARTMENT	1	84.0	bi-annual	Industrial cars exist workers. Dependent pages should consider straig
2	55	AAAAAAAAHDAAAAAA	2450815	DEPARTMENT	1	55.0	bi-annual	Male requirements can make. Catholic results load maybe common ba
3	8	AAAAAAAAIAAAAAAA	2450815	DEPARTMENT	1	8.0	bi-annual	Areas see early for a pounds. New goods study too serious women. Unwittingly sorry incentives shall
4	12	AAAAAAAAMAAAAAAA	2450815	DEPARTMENT	1	12.0	bi-annual	Girls indicate so in a countries. Natural, emotional weeks try a
5	44	AAAAAAAAMCAAAAAA	2450815	DEPARTMENT	1	44.0	bi-annual	More likely movements shall identify badly other sensitive ideas. Fully other views could not
6	45	AAAAAAAANCAAAAAA	2450815	DEPARTMENT	1	45.0	bi-annual	Full heads imply unfortunately good policies. However different periods will not avoid highly in
7	14	AAAAAAAAOAAAAAAA	2450815	DEPARTMENT	1	14.0	bi-annual	Rooms would say ago economic sections. Essential properties might not support groups. Ago rare eye
8	78	AAAAAAAAOEAAAAAA	2450815	DEPARTMENT	1	78.0	bi-annual	Intelligent buildings might not keep here new cases. Sole
9	79	AAAAAAAAPEAAAAAA	2450815	DEPARTMENT	1	79.0	bi-annual	Complaints release views. Really internal interpretations used to make funny, important
10	52	AAAAAAAAEDAAAAAA	2450815	DEPARTMENT	1	52.0	bi-annual	Urban, large girls could go. Actions might guard about key ot
11	6	AAAAAAAAGAAAAAAA	2450815	DEPARTMENT	1	6.0	bi-annual	Exciting principles wish greatly only excellent women. Appropriate fortunes shall not
12	58	AAAAAAAAKDAAAAAA	2450815	DEPARTMENT	1	58.0	bi-annual	Tasks work fun trees. Old employees make colonial, good signs. Famous emo
13	59	AAAAAAAALDAAAAAA	2450815	DEPARTMENT	1	59.0	bi-annual	Free, like figures will not leave once similar, eas
14	94	AAAAAAAAOFAAAAAA	2450815	DEPARTMENT	1	94.0	bi-annual	Equal, other calls maintain simply. Newspapers cannot touch f
15	34	AAAAAAAACCAAAAAA	2450815	DEPARTMENT	1	34.0	bi-annual	Old, essential demonstrations watch absolutely; never woo
16	66	AAAAAAAACEAAAAAA	2450815	DEPARTMENT	1	66.0	bi-annual	Simple types stir oddly. More head depths could tak
17	5	AAAAAAAAFAAAAAAA	2450815	DEPARTMENT	1	5.0	bi-annual	Classic buildings ensure in a tests. Real years may not receive open systems. Now broad m
18	38	AAAAAAAAGCAAAAAA	2450815	DEPARTMENT	1	38.0	bi-annual	Ready perceptions close only with a conservatives.
19	89	AAAAAAAAJFAAAAAA	2450815	DEPARTMENT	1	89.0	bi-annual	More responsible bands pursue then including a tasks; extremely traditional numbe
20	64	AAAAAAAAAEAAAAAA	2450815	DEPARTMENT	1	64.0	bi-annual	New, other men would hear secret costs. Major lines might think. Modern hands shall
21	33	AAAAAAAABCAAAAAA	2450815	DEPARTMENT	1	33.0	bi-annual	Here divine knees could not recall then before a meals. Resources use commercial,
22	65	AAAAAAAABEAAAAAA	2450815	DEPARTMENT	1	65.0	bi-annual	Otherwise vast titles could comprehend just, strong forms. Historic, european owners enha
23	19	AAAAAAAADBAAAAAA	2450815	DEPARTMENT	1	19.0	bi-annual	Poor, hostile guidelines could hope alone early things. Secret,
24	53	AAAAAAAAFDAAAAAA	2450815	DEPARTMENT	1	53.0	bi-annual	Relevant, major backs fly just private findings. New workers must not keep l
25	25	AAAAAAAAJBAAAAAA	2450815	DEPARTMENT	1	25.0	bi-annual	Dimensions ensure by a enquiries. Special times may practise much full, bad books; l
26	10	AAAAAAAAKAAAAAAA	2450815	DEPARTMENT	1	10.0	bi-annual	Careful, intense funds balance perhaps boys. Romantic chips remove legs. Direct birds get
27	90	AAAAAAAAKFAAAAAA	2450815	DEPARTMENT	1	90.0	bi-annual	Enough real studies should not appear weekends. Rich,
28	11	AAAAAAAALAAAAAAA	2450815	DEPARTMENT	1	11.0	bi-annual	At least national countries live by an sales. Weap
29	48	AAAAAAAAADAAAAAA	2450815	DEPARTMENT	1	48.0	bi-annual	Moving, parliamentary women seal only glad, little damages. Electoral ways
30	35	AAAAAAAADCAAAAAA	2450815	DEPARTMENT	1	35.0	bi-annual	Simple blocks feel now whole police. Available meanings must shine clearly real, good departmen
31	57	AAAAAAAAJDAAAAAA	2450815	DEPARTMENT	1	57.0	bi-annual	Expressly local horses shall undertake perhaps able, co
32	91	AAAAAAAALFAAAAAA	2450815	DEPARTMENT	1	91.0	bi-annual	Safe prices grow there enough private boys. Priorities come eventually forces. Regi
33	50	AAAAAAAACDAAAAAA	2450815	DEPARTMENT	1	50.0	bi-annual	Now metropolitan prices survive institutions. Internal cheeks
34	82	AAAAAAAACFAAAAAA	2450815	DEPARTMENT	1	82.0	bi-annual	Colonial interests reach also. Results will not pursue seconds. Labour other
35	86	AAAAAAAAGFAAAAAA	2450815	DEPARTMENT	1	86.0	bi-annual	Talks draw totally manufacturers. Lines evolve very; conditions see mi
36	73	AAAAAAAAJEAAAAAA	2450815	DEPARTMENT	1	73.0	bi-annual	Journalists develop civil, open methods. Very normal vehicles used t
37	43	AAAAAAAALCAAAAAA	2450815	DEPARTMENT	1	43.0	bi-annual	Relatively darling limits must not forgive. Rural, dry folk h
38	93	AAAAAAAANFAAAAAA	2450815	DEPARTMENT	1	93.0	bi-annual	Perfectly mild differences must visit deaf years. Attractive, interesting women might not tie to t
39	71	AAAAAAAAHEAAAAAA	2450815	DEPARTMENT	1	71.0	bi-annual	Numbers may create now concerned families. Machines must
40	16	AAAAAAAAABAAAAAA	2450815	DEPARTMENT	1	16.0	bi-annual	Schools must know now empty legs; generally daily children use sharp, loca
41	49	AAAAAAAABDAAAAAA	2450815	DEPARTMENT	1	49.0	bi-annual	Old, extensive months cannot write political numbers. Minor lips know as usual f
42	97	AAAAAAAABGAAAAAA	2450815	DEPARTMENT	1	97.0	bi-annual	Trees help far also ideal debts. Old, outstanding forces
43	2	AAAAAAAACAAAAAAA	2450815	DEPARTMENT	1	2.0	bi-annual	English areas will leave prisoners. Too public countries ought to become beneath the years.
44	20	AAAAAAAAEBAAAAAA	2450815	DEPARTMENT	1	20.0	bi-annual	Appropriate years kill. Probably male units come perhaps between the minutes.
45	21	AAAAAAAAFBAAAAAA	2450815	DEPARTMENT	1	21.0	bi-annual	Gentle fields understand forward high parental faciliti
46	22	AAAAAAAAGBAAAAAA	2450815	DEPARTMENT	1	22.0	bi-annual	Square, good women can refuse. Women allow over courses. Entire, dail
47	24	AAAAAAAAIBAAAAAA	2450815	DEPARTMENT	1	24.0	bi-annual	For once public conditions could help even single, free vehicles. Soldi
48	26	AAAAAAAAKBAAAAAA	2450815	DEPARTMENT	1	26.0	bi-annual	Nervously reasonable sanctions would not supply often structures. National dangers relieve never
49	27	AAAAAAAALBAAAAAA	2450815	DEPARTMENT	1	27.0	bi-annual	Ready restaurants can represent previously perfectly educational thanks; adjacent quantities t
50	76	AAAAAAAAMEAAAAAA	2450815	DEPARTMENT	1	76.0	bi-annual	Entirely normal thousands cannot rely just important ti
51	92	AAAAAAAAMFAAAAAA	2450815	DEPARTMENT	1	92.0	bi-annual	Years can know. Available, dead degrees may begin ever. Docto
52	77	AAAAAAAANEAAAAAA	2450815	DEPARTMENT	1	77.0	bi-annual	American years swallow only, nice thanks. Obvious materials might not discuss just.
53	30	AAAAAAAAOBAAAAAA	2450815	DEPARTMENT	1	30.0	bi-annual	Western, legislative courses cause truly else strange costs. Only grey windows come without a depo
54	54	AAAAAAAAGDAAAAAA	2450815	DEPARTMENT	1	54.0	bi-annual	Rights should reassure as to a borders; difficult, efficient servants might no
55	39	AAAAAAAAHCAAAAAA	2450815	DEPARTMENT	1	39.0	bi-annual	Vastly favorite systems may not imply manufacturing, new facilities. Eventually wo
56	9	AAAAAAAAJAAAAAAA	2450815	DEPARTMENT	1	9.0	bi-annual	Intensive, economic changes resist bloody of course simple economies;
57	28	AAAAAAAAMBAAAAAA	2450815	DEPARTMENT	1	28.0	bi-annual	Also new funds must not find in addition essential poor friends; now
58	4	AAAAAAAAEAAAAAAA	2450815	None	1	NaN	bi-annual	None
59	7	AAAAAAAAHAAAAAAA	2450815	DEPARTMENT	1	7.0	bi-annual	National services must not come at least into a girls
60	87	AAAAAAAAHFAAAAAA	2450815	DEPARTMENT	1	87.0	bi-annual	Away dramatic letters say slightly for a advisers. Severe, difficult points entail h
61	40	AAAAAAAAICAAAAAA	2450815	DEPARTMENT	1	40.0	bi-annual	Social, full questions learn already cautiously unemployed solicitors. Alone, close s
62	56	AAAAAAAAIDAAAAAA	2450815	DEPARTMENT	1	56.0	bi-annual	Men talk even like a days. Still large feelings see new, quick hotels. Far black relations should
63	95	AAAAAAAAPFAAAAAA	2450815	DEPARTMENT	1	95.0	bi-annual	Bonds include completely critical principles. Charges walk just forms. Subsequent, ti
64	17	AAAAAAAABBAAAAAA	2450815	DEPARTMENT	1	17.0	bi-annual	More than true carers can ensure at a officers. Candidates s
65	67	AAAAAAAADEAAAAAA	2450815	DEPARTMENT	1	67.0	bi-annual	Other developments shall not race in order objective wings. Nearby departments
66	83	AAAAAAAADFAAAAAA	2450815	DEPARTMENT	1	83.0	bi-annual	In order compatible schools float particular families. Briefly strong words used
67	36	AAAAAAAAECAAAAAA	2450815	DEPARTMENT	1	36.0	bi-annual	Dead rats contain central, interesting years. Classes go.
68	70	AAAAAAAAGEAAAAAA	2450815	DEPARTMENT	1	70.0	bi-annual	Visual, major matters witness together so-called days. Obviously sharp men spend meanwhile els
69	23	AAAAAAAAHBAAAAAA	2450815	DEPARTMENT	1	23.0	bi-annual	Level, ordinary names would change institutional principles. Fe
70	60	AAAAAAAAMDAAAAAA	2450815	DEPARTMENT	1	60.0	bi-annual	Teachers would choose always average investments. Unable, illegal sorts see. Shadows sha
71	46	AAAAAAAAOCAAAAAA	2450815	DEPARTMENT	1	46.0	bi-annual	Old beings used to raise. Curtains cannot enable just sites. Cells can say western talks;
72	81	AAAAAAAABFAAAAAA	2450815	DEPARTMENT	1	81.0	bi-annual	Vital findings come more about convincing firms. Hor
73	37	AAAAAAAAFCAAAAAA	2450815	DEPARTMENT	1	37.0	bi-annual	Approaches demonstrate requirements. Public views can need hard. Almost alone
74	85	AAAAAAAAFFAAAAAA	2450815	DEPARTMENT	1	85.0	bi-annual	Minutes ought to keep marginal states. New, financial nurses become later. Legally engl
75	41	AAAAAAAAJCAAAAAA	2450815	DEPARTMENT	1	41.0	bi-annual	True friends may not pay once at first good issues. Girls ought to grow t
76	74	AAAAAAAAKEAAAAAA	2450815	DEPARTMENT	1	74.0	bi-annual	Cheap problems obtain national, new organisations. Certain, suitable words
77	47	AAAAAAAAPCAAAAAA	2450815	DEPARTMENT	1	47.0	bi-annual	Dangerous, desirable relations might forget always free activities. Values ough
78	32	AAAAAAAAACAAAAAA	2450815	DEPARTMENT	1	32.0	bi-annual	Quickly industrial trousers remember poor, practica
79	72	AAAAAAAAIEAAAAAA	2450815	DEPARTMENT	1	72.0	bi-annual	Sometimes lexical police shall affect women. Personal banks could not cost e
80	42	AAAAAAAAKCAAAAAA	2450815	DEPARTMENT	1	42.0	bi-annual	Fine animals may expect solidly. Highest extra vessels take here simila
81	61	AAAAAAAANDAAAAAA	2450815	DEPARTMENT	1	61.0	bi-annual	Glad developments improve still unable, invisible communications. High processes ru
82	1	AAAAAAAABAAAAAAA	2450815	DEPARTMENT	1	1.0	bi-annual	In general basic characters welcome. Clearly lively friends conv
83	18	AAAAAAAACBAAAAAA	2450815	DEPARTMENT	1	18.0	bi-annual	Shops end problems. Urban experiences play new stores. Institutions order as residential places.
84	98	AAAAAAAACGAAAAAA	2450815	DEPARTMENT	1	98.0	bi-annual	Still fine services would surrender urban results; mean, serious considerations may say
85	51	AAAAAAAADDAAAAAA	2450815	DEPARTMENT	1	51.0	bi-annual	Superior, pink men should plant also recent, very fears. Purposes see other men. Tough, particular
86	68	AAAAAAAAEEAAAAAA	2450815	DEPARTMENT	1	68.0	bi-annual	More big police cannot give important, difficult clients. Black, early vessels use
87	75	AAAAAAAALEAAAAAA	2450815	DEPARTMENT	1	75.0	bi-annual	Specifically russian plans must use neither grand shares. Harsh, french results increase
88	29	AAAAAAAANBAAAAAA	2450815	DEPARTMENT	1	29.0	bi-annual	Small circumstances enter almost potentially spare individuals. Residential women launch
89	15	AAAAAAAAPAAAAAAA	2450815	DEPARTMENT	1	15.0	bi-annual	Legal, required ends may not improve in the pictures. Really social structur
90	63	AAAAAAAAPDAAAAAA	2450815	DEPARTMENT	1	63.0	bi-annual	Possible, general practitioners must mate in a companies. Small developments per
91	80	AAAAAAAAAFAAAAAA	2450815	DEPARTMENT	1	80.0	bi-annual	Words know difficult, lucky areas. Over red parts need extr
92	96	AAAAAAAAAGAAAAAA	2450815	DEPARTMENT	1	96.0	bi-annual	Then other details will stop nuclear officers. Capital expenses carve far options. Stru
93	99	AAAAAAAADGAAAAAA	2450815	DEPARTMENT	1	99.0	bi-annual	Useful, white courts leave almost high fingers. Popular, basic words plan
94	69	AAAAAAAAFEAAAAAA	2450815	DEPARTMENT	1	69.0	bi-annual	More basic colleagues should shift; muscles make however legal authorities.
95	88	AAAAAAAAIFAAAAAA	2450815	DEPARTMENT	1	88.0	bi-annual	Particular projects involve always final lakes. Subjects must move
96	13	AAAAAAAANAAAAAAA	2450815	DEPARTMENT	1	13.0	bi-annual	Miles see mainly clear hands. Villages finish there blue figures. Moreover wide students travel poo
97	62	AAAAAAAAODAAAAAA	2450815	DEPARTMENT	1	62.0	bi-annual	Indeed poor enemies change so to a hours. Either public circumstan
98	31	AAAAAAAAPBAAAAAA	2450815	DEPARTMENT	1	31.0	bi-annual	Differences would complete previously at a notes. Important

snapshot_catalog_page.sql (clean the table)

-- Slowly Changing Dimension: Dimension keys are "page_id"
-- Effective date columns are "end_date_key"
-- We will create Type 1 SCD (latest snapshot)
SELECT 
    "page_surrogate_key",
    "page_id",
    "start_date_key",
    "department",
    "catalog_id",
    "page_number",
    "catalog_type",
    "page_description"
FROM (
     SELECT 
            "page_surrogate_key",
            "page_id",
            "start_date_key",
            "department",
            "catalog_id",
            "page_number",
            "catalog_type",
            "page_description",
            ROW_NUMBER() OVER (
                PARTITION BY "page_id" 
                ORDER BY "end_date_key" 
            DESC) AS "cocoon_rn"
    FROM "stg_catalog_page"
) ranked
WHERE "cocoon_rn" = 1

snapshot_catalog_page.yml (Document the table)

version: 2
models:
- name: snapshot_catalog_page
  description: The table is about catalog pages. It tracks the most recent version
    of each unique page. It includes details like page ID, start date, department,
    catalog ID, page number, type, and description. Each row represents a distinct
    catalog page with its current information. The table excludes end dates and version
    identifiers, focusing on the latest data for each page.
  columns:
  - name: page_surrogate_key
    description: Surrogate key for the catalog page
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key specifically created to uniquely
        identify each catalog page. For this table, each row represents a unique catalog
        page, and the page_surrogate_key is designed to be unique across rows.
  - name: page_id
    description: Unique identifier for each catalog page
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: Unique dimension key, derived from the slowly changing dimension
  - name: start_date_key
    description: Surrogate key for the start date
    tests:
    - not_null
  - name: department
    description: Department associated with the catalog page
    tests:
    - accepted_values:
        values:
        - Electronics
        - Clothing
        - Home & Garden
        - Toys & Games
        - Sports & Outdoors
        - Beauty & Personal Care
        - Books
        - Music
        - Movies & TV
        - Automotive
        - Grocery
        - Pet Supplies
        - Health & Wellness
        - Jewelry
        - Office Supplies
        - Baby & Kids
        - Furniture
        - Appliances
        - Tools & Home Improvement
        - Arts & Crafts
        - DEPARTMENT
    cocoon_meta:
      missing_acceptable: Possibly represents a general or non-departmental page.
  - name: catalog_id
    description: Identifier for the catalog
    tests:
    - not_null
  - name: page_number
    description: Number of the page within the catalog
    tests:
    - not_null
  - name: catalog_type
    description: Type of catalog (e.g., bi-annual)
    tests:
    - not_null
    - accepted_values:
        values:
        - annual
        - bi-annual
        - quarterly
        - monthly
        - weekly
        - daily
        - seasonal
        - special edition
  - name: page_description
    description: Brief description of the catalog page content
    tests:
    - not_null
cocoon_meta:
  scd_base_table: stg_catalog_page

snapshot_web_site (first 100 rows)

	gmt_offset	suite_number	website_id	street_name	street_type	company_id	web_state	market_manager	web_country	site_manager	website_name	web_county	website_surrogate_key	web_city	market_id	web_classification	tax_percentage	record_start_date	street_number	web_close_date	web_open_date	zip_code
0	-5	Suite 150	AAAAAAAACAAAAAAA	Ridge Wilson	Cir	4	TN	David Myers	United States	Tommy Jones	site_0	Williamson County	2	Midway	6	Unknown	0.0	1997-08-16	358	2448973.0	4850799.0	31904
1	-5	Suite 330	AAAAAAAABAAAAAAA	Dogwood Sunset	Ln	6	TN	Joe George	United States	Ronald Shaffer	site_0	Williamson County	1	Midway	4	Unknown	0.1	1997-08-16	51	NaN	4850808.0	31904

snapshot_web_site.sql (clean the table)

-- Slowly Changing Dimension: Dimension keys are "website_id"
-- Effective date columns are "record_end_date"
-- We will create Type 1 SCD (latest snapshot)
SELECT 
    "gmt_offset",
    "suite_number",
    "website_id",
    "street_name",
    "street_type",
    "company_id",
    "web_state",
    "market_manager",
    "web_country",
    "site_manager",
    "website_name",
    "web_county",
    "website_surrogate_key",
    "web_city",
    "market_id",
    "web_classification",
    "tax_percentage",
    "record_start_date",
    "street_number",
    "web_close_date",
    "web_open_date",
    "zip_code"
FROM (
     SELECT 
            "gmt_offset",
            "suite_number",
            "website_id",
            "street_name",
            "street_type",
            "company_id",
            "web_state",
            "market_manager",
            "web_country",
            "site_manager",
            "website_name",
            "web_county",
            "website_surrogate_key",
            "web_city",
            "market_id",
            "web_classification",
            "tax_percentage",
            "record_start_date",
            "street_number",
            "web_close_date",
            "web_open_date",
            "zip_code",
            ROW_NUMBER() OVER (
                PARTITION BY "website_id" 
                ORDER BY "record_end_date" 
            DESC) AS "cocoon_rn"
    FROM "stg_web_site"
) ranked
WHERE "cocoon_rn" = 1

snapshot_web_site.yml (Document the table)

version: 2
models:
- name: snapshot_web_site
  description: The table is about current web sites. It tracks the most recent version
    of each site's details. It includes site ID, name, location, management, market
    information, company details, address, and tax percentage. Each row represents
    a unique web site with its latest characteristics. The table provides a snapshot
    of active web sites without historical versions.
  columns:
  - name: gmt_offset
    description: GMT time offset for the website's location
    tests:
    - not_null
  - name: suite_number
    description: Suite number of the website's address
    tests:
    - not_null
  - name: website_id
    description: Unique identifier for the website
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: Unique dimension key, derived from the slowly changing dimension
  - name: street_name
    description: Street name of the website's address
    tests:
    - not_null
  - name: street_type
    description: Street type of the website's address
    tests:
    - not_null
    - accepted_values:
        values:
        - Ave
        - Blvd
        - Cir
        - Ct
        - Dr
        - Ln
        - Pl
        - Rd
        - St
        - Ter
        - Way
        - Pkwy
        - Hwy
        - Aly
        - Expy
  - name: company_id
    description: Unique identifier for the company
    tests:
    - not_null
  - name: web_state
    description: State where the website is registered
    tests:
    - not_null
  - name: market_manager
    description: Name of the market manager
    tests:
    - not_null
  - name: web_country
    description: Country where the website is registered
    tests:
    - not_null
  - name: site_manager
    description: Name of the website manager
    tests:
    - not_null
  - name: website_name
    description: Name of the website
    tests:
    - not_null
  - name: web_county
    description: County where the website is registered
    tests:
    - not_null
  - name: website_surrogate_key
    description: Surrogate key for the website
    tests:
    - not_null
    - unique
    cocoon_meta:
      uniqueness: This column is a surrogate key for the website. For this table,
        each row represents a unique website, and the surrogate key is designed to
        be unique for each website.
  - name: web_city
    description: City where the website is registered
    tests:
    - not_null
  - name: market_id
    description: Unique identifier for the market
    tests:
    - not_null
  - name: web_classification
    description: Classification of the website
    tests:
    - not_null
  - name: tax_percentage
    description: Tax percentage applicable to the website
    tests:
    - not_null
  - name: record_start_date
    description: Start date of the record
    tests:
    - not_null
  - name: street_number
    description: Street number of the website's address
    tests:
    - not_null
  - name: web_close_date
    description: Date when the website was closed
    cocoon_meta:
      missing_acceptable: Website may still be active, so no close date.
  - name: web_open_date
    description: Date when the website was opened
    tests:
    - not_null
  - name: zip_code
    description: ZIP code of the website's location
    tests:
    - not_null
cocoon_meta:
  scd_base_table: stg_web_site

We identify the primary key (PK) and foreign key (FK) from tables. We build a join graph that connects FK to PK.

Join Graph (FK to PK)

cocoon_join.yml (Document the joins)

join_graph:
- table_name: stg_customer
  primary_key: customer_key
  foreign_keys:
  - column: current_address_key
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: current_demographics_key
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: current_household_key
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
- table_name: stg_catalog_sales
  foreign_keys:
  - column: billing_customer_id
    reference:
      table_name: stg_customer
      column: customer_key
  - column: shipping_customer_id
    reference:
      table_name: stg_customer
      column: customer_key
  - column: billing_address_id
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: shipping_address_id
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: billing_customer_demographics_id
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: shipping_customer_demographics_id
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: billing_household_demographics_id
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: shipping_household_demographics_id
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: promotion_id
    reference:
      table_name: stg_promotion
      column: promotion_id
  - column: shipping_mode_id
    reference:
      table_name: stg_ship_mode
      column: ship_mode_surrogate_key
  - column: warehouse_key
    reference:
      table_name: stg_warehouse
      column: warehouse_surrogate_key
  - column: call_center_id
    reference:
      table_name: snapshot_call_center
      column: call_center_surrogate_key
  - column: catalog_page_id
    reference:
      table_name: snapshot_catalog_page
      column: page_surrogate_key
  - column: item_id
    reference:
      table_name: snapshot_item
      column: ITEM_SURROGATE_KEY
- table_name: stg_catalog_returns
  foreign_keys:
  - column: refunded_customer_id
    reference:
      table_name: stg_customer
      column: customer_key
  - column: returning_customer_id
    reference:
      table_name: stg_customer
      column: customer_key
  - column: refunded_address_id
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: returning_address_id
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: refunded_customer_demo_id
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: returning_customer_demo_id
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: return_date_id
    reference:
      table_name: stg_date_dim
      column: date_sk
  - column: refunded_household_demo_id
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: returning_household_demo_id
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: return_reason_id
    reference:
      table_name: stg_reason
      column: reason_surrogate_key
  - column: shipping_mode_id
    reference:
      table_name: stg_ship_mode
      column: ship_mode_surrogate_key
  - column: return_time_id
    reference:
      table_name: stg_time_dim
      column: time_surrogate_key
  - column: warehouse_id
    reference:
      table_name: stg_warehouse
      column: warehouse_surrogate_key
  - column: call_center_id
    reference:
      table_name: snapshot_call_center
      column: call_center_surrogate_key
  - column: catalog_page_id
    reference:
      table_name: snapshot_catalog_page
      column: page_surrogate_key
  - column: item_id
    reference:
      table_name: snapshot_item
      column: ITEM_SURROGATE_KEY
- table_name: stg_store_sales
  foreign_keys:
  - column: customer_id
    reference:
      table_name: stg_customer
      column: customer_key
  - column: address_id
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: customer_demo_id
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: household_demo_id
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: promotion_id
    reference:
      table_name: stg_promotion
      column: promotion_id
  - column: item_id
    reference:
      table_name: snapshot_item
      column: ITEM_SURROGATE_KEY
  - column: store_id
    reference:
      table_name: snapshot_store
      column: store_id
- table_name: stg_store_returns
  foreign_keys:
  - column: customer_id
    reference:
      table_name: stg_customer
      column: customer_key
  - column: address_id
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: customer_demo_id
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: sale_date_id
    reference:
      table_name: stg_date_dim
      column: date_sk
  - column: household_demo_id
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: promotion_id
    reference:
      table_name: stg_promotion
      column: promotion_id
  - column: return_reason_id
    reference:
      table_name: stg_reason
      column: reason_surrogate_key
  - column: sale_time_id
    reference:
      table_name: stg_time_dim
      column: time_surrogate_key
  - column: item_id
    reference:
      table_name: snapshot_item
      column: ITEM_SURROGATE_KEY
  - column: store_id
    reference:
      table_name: snapshot_store
      column: store_id
- table_name: stg_web_sales
  foreign_keys:
  - column: billing_customer_id
    reference:
      table_name: stg_customer
      column: customer_key
  - column: shipping_customer_id
    reference:
      table_name: stg_customer
      column: customer_key
  - column: billing_address_id
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: shipping_address_id
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: billing_customer_demo_id
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: shipping_customer_demo_id
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: billing_household_demo_id
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: shipping_household_demo_id
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: promotion_id
    reference:
      table_name: stg_promotion
      column: promotion_id
  - column: shipping_mode_id
    reference:
      table_name: stg_ship_mode
      column: ship_mode_surrogate_key
  - column: warehouse_id
    reference:
      table_name: stg_warehouse
      column: warehouse_surrogate_key
  - column: item_id
    reference:
      table_name: snapshot_item
      column: ITEM_SURROGATE_KEY
  - column: web_page_id
    reference:
      table_name: snapshot_web_page
      column: page_surrogate_key
  - column: website_id
    reference:
      table_name: snapshot_web_site
      column: website_surrogate_key
- table_name: stg_web_returns
  foreign_keys:
  - column: refunded_customer_key
    reference:
      table_name: stg_customer
      column: customer_key
  - column: returning_customer_key
    reference:
      table_name: stg_customer
      column: customer_key
  - column: refunded_address_key
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: returning_address_key
    reference:
      table_name: stg_customer_address
      column: address_surrogate_key
  - column: refunded_customer_demo_key
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: returning_customer_demo_key
    reference:
      table_name: stg_customer_demographics
      column: demographic_id
  - column: return_date_key
    reference:
      table_name: stg_date_dim
      column: date_sk
  - column: refunded_household_demo_key
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: returning_household_demo_key
    reference:
      table_name: stg_household_demographics
      column: household_demographic_id
  - column: reason_key
    reference:
      table_name: stg_reason
      column: reason_surrogate_key
  - column: return_time_key
    reference:
      table_name: stg_time_dim
      column: time_surrogate_key
  - column: item_key
    reference:
      table_name: snapshot_item
      column: ITEM_SURROGATE_KEY
  - column: web_page_key
    reference:
      table_name: snapshot_web_page
      column: page_surrogate_key
- table_name: stg_customer_address
  primary_key: address_surrogate_key
  foreign_keys: []
- table_name: stg_customer_demographics
  primary_key: demographic_id
  foreign_keys: []
- table_name: stg_date_dim
  primary_key: date_sk
  foreign_keys: []
- table_name: stg_household_demographics
  primary_key: household_demographic_id
  foreign_keys:
  - column: income_band_id
    reference:
      table_name: stg_income_band
      column: income_band_id
- table_name: stg_income_band
  primary_key: income_band_id
  foreign_keys: []
- table_name: stg_promotion
  primary_key: promotion_id
  foreign_keys: []
- table_name: stg_reason
  primary_key: reason_surrogate_key
  foreign_keys: []
- table_name: stg_ship_mode
  primary_key: ship_mode_surrogate_key
  foreign_keys: []
- table_name: stg_time_dim
  primary_key: time_surrogate_key
  foreign_keys: []
- table_name: stg_warehouse
  primary_key: warehouse_surrogate_key
  foreign_keys: []
- table_name: stg_inventory
  foreign_keys:
  - column: warehouse_id
    reference:
      table_name: stg_warehouse
      column: warehouse_surrogate_key
  - column: item_id
    reference:
      table_name: snapshot_item
      column: ITEM_SURROGATE_KEY
- table_name: snapshot_call_center
  primary_key: call_center_surrogate_key
  foreign_keys: []
- table_name: snapshot_catalog_page
  primary_key: page_surrogate_key
  foreign_keys: []
- table_name: snapshot_item
  primary_key: ITEM_SURROGATE_KEY
  foreign_keys: []
- table_name: snapshot_store
  primary_key: store_id
  foreign_keys:
  - column: store_surrogate_key
    reference:
      table_name: snapshot_store
      column: store_id
- table_name: snapshot_web_page
  primary_key: page_surrogate_key
  foreign_keys: []
- table_name: snapshot_web_site
  primary_key: website_surrogate_key
  foreign_keys: []

We identify the entities and relationships behind the tables, and tell the story among these relationships.

Prev Next