01 / Overview
Dataset overview
Size, completeness and the main signal to check first.
- Rows
- 3,000No empty rows
- Columns
- 34102,000 cells analyzed
- Missing cells
- 12.29%12,532 cells
- Duplicate rows
- 8Beyond the first occurrence
ambiguous dates, kept unresolved.
Values that match more than one configured date order. That is 10.93% of the 14,912 present date values. Tabalyst does not guess the order.
See date analysisQuality observations
- warning: Duplicate rows beyond their first occurrence8
- warning: Missing cells12,532
- info: Cells changed by trimming surrounding whitespace0
- info: Cells changed by collapsing repeated internal whitespace129
- info: Values written in several ways that normalization compares as equal74
- warning: Date values matching more than one day-month order1,630
Column types
- Text 24
- Date 6
- Integer 2
- Number 2
Semantic types
- Enumeration 14
- No semantic type 11
- Date 6
- Postal Code 1
- Email 1
- Phone 1
Mixed: fewer than 95.0% of present values agree on one type.
02 / Structure
Columns(34)
Inferred and semantic types per column. With issues: missing values or mixed type.
Column | Missing | Distinct | Inferred type | Semantic type | Error | Examples |
|---|---|---|---|---|---|---|
| 1filiale | – | 3 | text | enumeration | – | principalquebecontario Values 3 principal(2,185) quebec(568) ontario(247) |
| 2id_client | – | 2,992 | text | – | – | CLI-00002347CLI-00055908CLI-00090070 Values 100 / 2,992 CLI-00002347(2) CLI-00055908(2) CLI-00090070(2) CLI-00006847(1) CLI-00039141(1) CLI-00060958(1) CLI-00064436(1) CLI-00073463(1) CLI-00128253(1) CLI-00144919(1) CLI-00159408(1) CLI-00181670(1) CLI-00193541(1) ONT0002696(1) ONT0007921(1) ONT0011490(1) ONT0018008(1) QC-0002-9919(1) QC-0003-4507(1) QC-0004-1864(1) |
| 3civilite | – | 2 | text | enumeration | – | M.Mme Values 2 M.(1,517) Mme(1,483) |
| 4prenom | 0.23%7 | 227 | text | – | – | DanielRobertSophie Values 100 / 227 Daniel(47) Robert(38) Sophie(38) Louise(26) Martin(25) Stéphane(22) Audrey(21) Thomas(19) Pierre-Luc(17) Ezra(16) Elizabeth(15) Olivia(15) Jack(14) Evelyn(13) Gianna(13) Hugo(12) Jean-Philippe(12) Zoé(12) Floorence(1) Noa h(1) |
| 5nom | 0.13%4 | 214 | text | – | – | RoyTremblayFortin Values 100 / 214 Roy(73) Tremblay(72) Fortin(67) Poirier(31) Scott(27) Nadeau(16) Adams(14) Roberts(9) Wu(6) Zhang(5) O'Connor(3) Clarkk(1) De Luca(1) Halll(1) Tremblayy(1) WWright(1) aSvard(1) eLfebvre(1) karquis(1) wilson(1) |
| 6date_naissance | 0.2%6 | 2,889 | date | date | 0.1%3 | 1939-11-092000-12-202026-13-40 Values 100 / 2,889 1939-11-09(3) 2000-12-20(3) 2026-13-40(3) 09-25-1942(1) 12-06-1985(1) 15-04-1988(1) 18-07-1986(1) 1937-09-30(1) 1940-04-26(1) 1949-08-25(1) 1951-09-23(1) 1968/12/04(1) 1979-06-17(1) 1981-04-22(1) 1986-02-01(1) 1987-05-18(1) 1987-12-10(1) 1998-02-18(1) 20-10-1979(1) 2007-07-24(1) |
| 7sexe | – | 2 | text | enumeration | – | MF Values 2 M(1,517) F(1,483) |
| 8langue_preferee | – | 2 | text | enumeration | – | fren Values 2 fr(2,101) en(899) |
| 9numero_voie | – | 2,576 | integer | – | – | 418583989730 Values 100 / 2,576 4185(4) 8398(4) 9730(4) 3069(2) 3866(2) 7447(2) 9852(2) 3905(1) 3932(1) 5062(1) 5310(1) 58(1) 609(1) 654(1) 6959(1) 7140(1) 8067(1) 916(1) 9295(1) 9959(1) |
| 10type_voie | – | 31 | text | enumeration | – | rueavenueboulevard Values 31 rue(461) avenue(324) boulevard(311) Street(202) chemin(189) route(152) rang(124) Avenue(121) Road(99) Boulevard(98) place(84) montée(82) Drive(75) terrasse(71) croissant(70) Lane(53) impasse(53) Court(46) promenade(44) allée(42) Crescent(33) autoroute(33) Place(32) côte(32) Trail(31) carré(29) Highway(27) Way(26) Circle(20) Terrace(19) Parkway(17) |
| 11nom_voie | – | 175 | text | – | – | des Mélèzesdu Ruisseaudu Lac Values 100 / 175 des Mélèzes(79) du Ruisseau(73) du Lac(72) Cedar(43) Oak(32) Brookside(25) Northgate(18) School(17) du Vieux-Pont(14) Eastwood(13) Church(10) Foxglove(7) Evergreen(1) MMaple(1) Mouuntainview(1) Pnie(1) dez Sommets(1) du aLc(1) e la Rivière(1) highland(1) |
| 12orientation | 76.0%2,280 | 8 | text | enumeration | – | OuestNordSud Values 8 Ouest(141) Nord(139) Sud(130) Est(108) West(61) North(54) South(48) East(39) |
| 13appartement | 64.27%1,928 | 665 | integer | – | – | 791795958 Values 100 / 665 791(5) 795(5) 958(5) 703(4) 244(2) 655(2) 883(2) 959(2) 996(2) 243(1) 320(1) 367(1) 395(1) 518(1) 533(1) 585(1) 600(1) 607(1) 757(1) 870(1) |
| 14ville | – | 135 | text | – | – | MontréalQuébecLaval Values 100 / 135 Montréal(318) Québec(183) Laval(144) Châteauguay(30) Alma(23) Gaspé(19) Val-d'Or(19) Baie-Comeau(12) St. John's(12) Charlottetown(7) Prince George(5) Montréla(2) Blainvville(1) Brosssard(1) La Tuqse(1) Lévib(1) Quuébec(1) Repenttigny(1) Rimmouski(1) Sherbroo ke(1) |
| 15province_code | 0.1%3 | 16 | text | enumeration | – | QCONAB Values 16 QC(2,224) ON(407) AB(92) BC(86) NB(56) MB(32) NS(24) SK(23) qc(18) NL(12) PE(7) YT(5) NU(4) on(3) NT(2) ab(2) |
| 16province_nom | – | 18 | text | enumeration | – | QuébecOntarioAlberta Values 18 Québec(2,224) Ontario(409) Alberta(95) Colombie-Britannique(85) Nouveau-Brunswick(56) Manitoba(32) Nouvelle-Écosse(23) Saskatchewan(23) Terre-Neuve-et-Labrador(12) Quebec(10) quebec(10) Île-du-Prince-Édouard(7) Yukon(5) Nunavut(4) Territoires du Nord-Ouest(2) Nouvelle-Ecosse(1) colombie-britannique(1) ontario(1) |
| 17code_postal | – | 2,962 | text | postal code | – | E2L 6H3G1R 3T5G1R 7N8 Values 100 / 2,962 E2L 6H3(2) G1R 3T5(2) G1R 7N8(2) E1A 5A2(1) G1R 3P9(1) G4Z 8E2(1) G7J 0N0(1) H3G 4V0(1) H4A 7G3(1) H7N 6X1(1) J1H 4K8(1) J6K 5X7(1) J8X 9W5(1) L5B 6M8(1) M5V 7V2(1) P3E 1H5(1) R3C 2W4(1) T2P 2S2(1) V2L 9T6(1) V5K 8S5(1) |
| 18pays_code | – | 2 | text | enumeration | – | CAca Values 2 CA(2,978) ca(22) |
| 19courriel | – | 2,992 | text | – | aaa9999@aaaaa.aaaaaaaaaa999@aaaaa.aaaaaaaaaa99@aaaaa.aaaaaaa Masked values 100 / 2,992 aaa9999@aaaaa.aaaaaaa(82) aaa999@aaaaa.aaaaaaa(74) aaa99@aaaaa.aaaaaaa(54) aaa99@aaaaaaa.aaaaaaa(50) aaaaaaa@aaaa.aaaaaaa(6) aaaaaa-aaaaaaaa@aaaaa.aaaaaaa(5) aaaaaaa_aaaaaaaa@aaaaaaa.aaaaa...(5) aaaaa_aaaaaa@aaaaaa.aaaaaaa(3) aaaaaa_aaaaaaaa@aaaaaa.aaaaaaa(3) aa99@aaaaaaaaa.aaaaaaa(2) aaaa_aaaaaaaaa@aaaaa.aaaaaaa(2) aaaaa-aaaaaaaa@aaaaa.aaaaaaa(2) aaaaa.aaaaaa@aaaa.aaaaaaa(2) aaaaaa.aaa@aaaaaaa.aaaaaaa(2) aaaaaa.aaaaaaaaaa@aaaaa.aaaaaa...(1) aaaaaaa_aaaa@aaaaaaaaa.aaaaaaa(1) aaaaaaaa99@aaaaaaaaa.aaaaaaa(1) aaaaaaaaa_aaaaaaa@aaaaaaa.aaaa...(1) aaaaaaaaaa.aaaaaaa@aaaaaa.aaaa...(1) aaaaaaaaaaaa.aaaaaaa@aaaaaa.aa...(1) | |
| 20telephone | – | 1,604 | text | phone | – | +9-999-999-9999+9 999-999-9999 Masked values 2 / 1,604 +9-999-999-9999(2,958) +9 999-999-9999(42) |
| 21id_contrat | 0.3%9 | 2,983 | text | – | – | CTR-1000002347CTR-1000055908CTR-1000090070 Values 100 / 2,983 CTR-1000002347(2) CTR-1000055908(2) CTR-1000090070(2) CTR-1000004325(1) CTR-1000028230(1) CTR-1000029899(1) CTR-1000036863(1) CTR-1000101140(1) CTR-1000116266(1) CTR-1000118311(1) CTR-1000157343(1) CTR-1000170981(1) CTR-1000181674(1) CTR-1000188457(1) CTR-2000012419(1) CTR-3000017673(1) CTR-3000031071(1) CTR-3000035905(1) CTR-3000046742(1) CTR-3000049168(1) |
| 22type_contrat | 0.07%2 | 6 | text | enumeration | – | autohabitationvoyage Values 6 auto(1,228) habitation(910) voyage(505) vie(349) habitation_X(5) voyage_X(1) |
| 23date_debut | – | 2,409 | date | date | 0.23%7 | 2017-10-092024-03-232026-05-02 Values 100 / 2,409 2017-10-09(5) 2024-03-23(5) 2026-05-02(5) 2020-10-10(3) 2022-02-28(3) 04-06-2023(1) 19-08-2022(1) 2017-11-08(1) 2019-02-07(1) 2020-02-14(1) 2020-03-30(1) 2020-04-03(1) 2020-06-30(1) 2021-12-05(1) 2022-01-01(1) 2022-07-08(1) 2024-08-26(1) 2027-06-13(1) 2027-06-17(1) 24-08-2020(1) |
| 24date_fin | 16.73%502 | 1,177 | date | date | 0.12%3 | 2026-12-292027-01-092027-06-03 Values 100 / 1,177 2026-12-29(12) 2027-01-09(11) 2027-06-03(10) 2027-02-09(6) 2026-10-27(5) 06-12-2026(3) 2026-11-29(3) 2026-12-27(3) 10-11-2026(2) 15-05-2027(2) 16-12-2026(2) 07-10-2027(1) 11-24-2026(1) 2022-07-16(1) 2022-09-27(1) 2024-04-05(1) 2024-06-05(1) 2025-09-16(1) 2026-08-21(1) 2026-11-11(1) |
| 25statut_contrat | – | 6 | text | enumeration | – | actifexpirésuspendu Values 6 actif(2,279) expiré(373) suspendu(190) résilié(153) actif_X(4) expiré_X(1) |
| 26prime_annuelle | – | 2,975 | number | – | – | 2556.061019.341026.39 Values 100 / 2,975 2556.06(3) 1019.34(2) 1026.39(2) 1281.15(1) 1728.39(1) 1746.20(1) 201.78(1) 2101.66(1) 2518.08(1) 2545.65(1) 274.27(1) 2871.97(1) 3211.30(1) 400.24(1) 496.16(1) 549.16(1) 780.67(1) 842.26(1) 931.03(1) 952.12(1) |
| 27frequence_paiement | – | 6 | text | enumeration | – | mensuelleannuelletrimestrielle Values 6 mensuelle(1,959) annuelle(609) trimestrielle(294) semestrielle(135) annuelle_X(2) mensuelle_X(1) |
| 28mode_paiement | – | 9 | text | enumeration | – | prélèvementcartevirement Values 9 prélèvement(1,633) carte(741) virement(445) chèque(156) prelevement(16) carte_X(3) prélèvement_X(3) virement_X(2) cheque(1) |
| 29agence_code | – | 27 | text | enumeration | – | AG-PR-001AG-PR-002AG-PR-005 Values 27 AG-PR-001(618) AG-PR-002(382) AG-PR-005(246) AG-PR-003(225) AG-PR-004(224) AG-QC-001(199) AG-PR-007(170) AG-PR-006(165) AG-QC-002(128) AG-PR-008(124) AG-ON-001(91) AG-QC-004(67) AG-QC-003(66) AG-QC-005(66) AG-QC-006(46) AG-ON-002(38) AG-ON-004(38) AG-ON-003(37) AG-ON-005(33) AG-ON-006(21) AG--PR-001(5) AG--PR-002(4) AG--PR-003(2) AG--QC-001(2) AG--PR-004(1) AG--PR-007(1) AG--QC-002(1) |
| 30date_creation | – | 2,361 | date | date | 0.2%6 | 2020-10-232017-08-192018-09-13 Values 100 / 2,361 2020-10-23(5) 2017-08-19(4) 2018-09-13(4) 2020-06-23(2) 2026-04-19(2) 09-12-2020(1) 13-02-2017(1) 17-03-2024(1) 2016-12-10(1) 2017-06-08(1) 2019-06-03(1) 2019-10-25(1) 2019-10-29(1) 2020-06-19(1) 2022-07-21(1) 2024-06-28(1) 2025-04-14(1) 2026-08-30(1) 28-04-2020(1) 30-11-2025(1) |
| 31date_modification | – | 2,035 | date | date | 0.1%3 | 2026-09-062025-05-282026-06-27 Values 100 / 2,035 2026-09-06(8) 2025-05-28(7) 2026-06-27(7) 2024-10-02(3) 12-04-2026(2) 2022-05-05(2) 2024-11-04(2) 2025-01-04(2) 2025-06-26(2) 2025-09-06(2) 05-19-2024(1) 11-15-2025(1) 2018-12-15(1) 2019-03-26(1) 2021-11-24(1) 2024-01-14(1) 2024-03-16(1) 2024-05-22(1) 2024-09-06(1) 25-04-2021(1) |
| 32date_reclamation | 86.0%2,580 | 406 | date | date | 0.24%1 | 10-12-202512-06-20262019-02-06 Values 100 / 406 10-12-2025(2) 12-06-2026(2) 2019-02-06(2) 2025-05-25(2) 09-04-2025(1) 09-28-2024(1) 14-07-2025(1) 17-08-2026(1) 2018-11-20(1) 2020-12-01(1) 2021-08-04(1) 2021-09-29(1) 2022-07-24(1) 2024-07-10(1) 2024-07-21(1) 2024-10-06(1) 2025-09-12(1) 2026-06-24(1) 26-12-2023(1) 28-01-2026(1) |
| 33montant_reclamation | 88.37%2,651 | 344 | number | – | – | 0.0014731.85-63902.75 Values 100 / 344 0.00(5) 14731.85(2) -63902.75(1) 11470.48(1) 12639.37(1) 129935.17(1) 19006.52(1) 24718.97(1) 27656.18(1) 36080.21(1) 38914.74(1) 38995.13(1) 4015.68(1) 4624.56(1) 6160.20(1) 81330.68(1) 8303.41(1) 91386.63(1) 9433.94(1) 9471.63(1) |
| 34reclamation_status | 85.33%2,560 | 4 | text | – | – | ferméen_coursouvert Values 4 fermé(218) en_cours(127) ouvert(66) rejeté(29) |
04 / Cleaning
Transformations(34)
Occurrences changed by each normalization stage, and the spellings it groups. Raw preview values remain unchanged.
Column | Unicode composed | Trimmed | Whitespace collapsed | Case folded | Accents removed | Distinct | Compared distinct | Variant groups |
|---|---|---|---|---|---|---|---|---|
| 1filiale | – | – | – | – | – | 3 | 3 | 0 |
| 2id_client | – | – | – | 100.0%3,000 | – | 2,992 | 2,992 | 0 |
| 3civilite | – | – | – | 100.0%3,000 | – | 2 | 2 | 0 |
| 4prenom | – | – | 0.2%6 | 99.43%2,983 | 17.87%536 | 227 | 213 | 13 |
| 5nom | – | – | 0.17%5 | 99.33%2,980 | 8.67%260 | 214 | 202 | 12 |
| 6date_naissance | – | – | – | – | – | 2,889 | 2,889 | 0 |
| 7sexe | – | – | – | 100.0%3,000 | – | 2 | 2 | 0 |
| 8langue_preferee | – | – | – | – | – | 2 | 2 | 0 |
| 9numero_voie | – | – | – | – | – | 2,576 | 2,576 | 0 |
| 10type_voie | – | – | – | 29.97%899 | 6.17%185 | 31 | 28 | 3 |
| 11nom_voie | – | – | 0.3%9 | 99.57%2,987 | 20.37%611 | 175 | 160 | 20 |
| 12orientation | – | – | – | 24.0%720 | – | 8 | 8 | 0 |
| 13appartement | – | – | – | – | – | 665 | 665 | 0 |
| 14ville | – | – | 0.23%7 | 99.53%2,986 | 27.07%812 | 135 | 122 | 13 |
| 15province_code | – | – | – | 99.13%2,974 | – | 16 | 13 | 3 |
| 16province_nom | – | – | – | 99.6%2,988 | 75.13%2,254 | 18 | 13 | 4 |
| 17code_postal | – | – | 1.8%54 | 100.0%3,000 | – | 2,962 | 2,962 | 3 |
| 18pays_code | – | – | – | 99.27%2,978 | – | 2 | 1 | 1 |
| 19courriel | – | – | 0.2%6 | – | – | 2,992 | 2,992 | 0 |
| 20telephone | – | – | 1.4%42 | – | – | 1,604 | 1,604 | 0 |
| 21id_contrat | – | – | – | 99.7%2,991 | – | 2,983 | 2,983 | 0 |
| 22type_contrat | – | – | – | 0.2%6 | – | 6 | 6 | 0 |
| 23date_debut | – | – | – | – | – | 2,409 | 2,409 | 0 |
| 24date_fin | – | – | – | – | – | 1,177 | 1,177 | 0 |
| 25statut_contrat | – | – | – | 0.17%5 | 17.57%527 | 6 | 6 | 0 |
| 26prime_annuelle | – | – | – | – | – | 2,975 | 2,975 | 0 |
| 27frequence_paiement | – | – | – | 0.1%3 | – | 6 | 6 | 0 |
| 28mode_paiement | – | – | – | 0.27%8 | 59.73%1,792 | 9 | 7 | 2 |
| 29agence_code | – | – | – | 100.0%3,000 | – | 27 | 27 | 0 |
| 30date_creation | – | – | – | – | – | 2,361 | 2,361 | 0 |
| 31date_modification | – | – | – | – | – | 2,035 | 2,035 | 0 |
| 32date_reclamation | – | – | – | – | – | 406 | 406 | 0 |
| 33montant_reclamation | – | – | – | – | – | 344 | 344 | 0 |
| 34reclamation_status | – | – | – | – | 8.23%247 | 4 | 4 | 0 |
Variant groups(74)
Raw spellings that every normalization stage compares as equal: an analytical equivalence, not proof of identity. Whitespace is shown as written.
Column | Comparison key | Occurrences | Spellings | Variants |
|---|---|---|---|---|
| 4prenom | daniel | 48 | 2 | Daniel47daniel1 |
| 4prenom | melanie | 36 | 2 | Mélanie35melanie1 |
| 4prenom | sylvie | 36 | 2 | Sylvie35sylvie1 |
| 4prenom | diane | 25 | 2 | Diane24diane1 |
| 4prenom | francois | 25 | 3 | François23Francois1francois1 |
| 4prenom | veronique | 24 | 2 | Véronique23Veronique1 |
| 4prenom | leo | 23 | 2 | Léo17Leo6 |
| 4prenom | pierre | 23 | 2 | Pierre22pierre1 |
| 4prenom | lucas | 20 | 2 | Lucas19lucas1 |
| 4prenom | florence | 19 | 2 | Florence18florence1 |
| 4prenom | louis-philippe | 17 | 2 | Louis-Philippe16louis-philippe1 |
| 4prenom | sofia | 15 | 2 | Sofia14sofia1 |
| 4prenom | zoe | 13 | 2 | Zoé12Zoe1 |
| 5nom | fortin | 68 | 2 | Fortin67fortin1 |
| 5nom | gagnon | 60 | 2 | Gagnon59gagnon1 |
| 5nom | wilson | 43 | 2 | Wilson42wilson1 |
| 5nom | poirier | 32 | 2 | Poirier31poirier1 |
| 5nom | dube | 30 | 2 | Dubé29dube1 |
| 5nom | cloutier | 28 | 2 | Cloutier27cloutier1 |
| 5nom | martel | 28 | 2 | Martel27martel1 |
| 5nom | baker | 23 | 2 | Baker22baker1 |
| 5nom | michaud | 21 | 2 | Michaud20michaud1 |
| 5nom | evans | 12 | 2 | Evans11evans1 |
| 5nom | collins | 11 | 2 | Collins10collins1 |
| 5nom | ho | 5 | 2 | Ho4ho1 |
| 10type_voie | avenue | 445 | 2 | avenue324Avenue121 |
| 10type_voie | boulevard | 409 | 2 | boulevard311Boulevard98 |
| 10type_voie | place | 116 | 2 | place84Place32 |
| 11nom_voie | des melezes | 79 | 2 | des Mélèzes78des Mélèzes1 |
| 11nom_voie | des erables | 67 | 2 | des Érables65des erables2 |
| 11nom_voie | du belvedere | 66 | 2 | du Belvédère65du Belvedere1 |
| 11nom_voie | des champs | 63 | 3 | des Champs60des champs2des Champs1 |
| 11nom_voie | de la riviere | 62 | 3 | de la Rivière60de la Riviere1de la riviere1 |
| 11nom_voie | des lilas | 62 | 2 | des Lilas61des lilas1 |
| 11nom_voie | des peupliers | 58 | 2 | des Peupliers57des Peupliers1 |
| 11nom_voie | du boise | 57 | 2 | du Boisé56du Boisé1 |
| 11nom_voie | des hirondelles | 54 | 2 | des Hirondelles53des hirondelles1 |
| 11nom_voie | de l'aube | 49 | 3 | de l'Aube47de l'Aube1de l'aube1 |
| 11nom_voie | des cedres | 48 | 2 | des Cèdres47des Cedres1 |
| 11nom_voie | de la colline | 47 | 2 | de la Colline46de la Colline1 |
| 11nom_voie | de la clairiere | 46 | 2 | de la Clairière45de la Clairiere1 |
| 11nom_voie | des vents | 39 | 2 | des Vents38des vents1 |
| 11nom_voie | oak | 33 | 2 | Oak32oak1 |
| 11nom_voie | du rocher | 29 | 2 | du Rocher27du Rocher2 |
| 11nom_voie | highland | 29 | 2 | Highland28highland1 |
| 11nom_voie | des frenes | 26 | 2 | des Frênes25des Frenes1 |
| 11nom_voie | forest | 20 | 2 | Forest19forest1 |
| 11nom_voie | des trois-lacs | 17 | 2 | des Trois-Lacs16des Trois-Lacs1 |
| 14ville | montreal | 321 | 3 | Montréal318montreal2Montreal1 |
| 14ville | quebec | 184 | 2 | Québec183quebec1 |
| 14ville | toronto | 102 | 2 | Toronto101toronto1 |
| 14ville | longueuil | 100 | 2 | Longueuil98longueuil2 |
| 14ville | levis | 97 | 2 | Lévis96Levis1 |
| 14ville | trois-rivieres | 70 | 2 | Trois-Rivières69trois-rivieres1 |
| 14ville | saint-jerome | 49 | 2 | Saint-Jérôme48saint-jerome1 |
| 14ville | chateauguay | 32 | 3 | Châteauguay30Chateauguay1chateauguay1 |
| 14ville | alma | 24 | 2 | Alma23alma1 |
| 14ville | joliette | 21 | 2 | Joliette20joliette1 |
| 14ville | la tuque | 20 | 2 | La Tuque19La Tuque1 |
| 14ville | kelowna | 8 | 2 | Kelowna7kelowna1 |
| 14ville | toront o | 2 | 2 | Toront o1Toront o1 |
| 15province_code | qc | 2,242 | 2 | QC2,224qc18 |
| 15province_code | on | 410 | 2 | ON407on3 |
| 15province_code | ab | 94 | 2 | AB92ab2 |
| 16province_nom | quebec | 2,244 | 3 | Québec2,224Quebec10quebec10 |
| 16province_nom | ontario | 410 | 2 | Ontario409ontario1 |
| 16province_nom | colombie-britannique | 86 | 2 | Colombie-Britannique85colombie-britannique1 |
| 16province_nom | nouvelle-ecosse | 24 | 2 | Nouvelle-Écosse23Nouvelle-Ecosse1 |
| 17code_postal | h2x 9m5 | 2 | 2 | H2X 9M51H2X 9M51 |
| 17code_postal | h3g 1y7 | 2 | 2 | H3G 1Y71H3G 1Y71 |
| 17code_postal | j6w 2c0 | 2 | 2 | J6W 2C01J6W 2C01 |
| 18pays_code | ca | 3,000 | 2 | CA2,978ca22 |
| 28mode_paiement | prelevement | 1,649 | 2 | prélèvement1,633prelevement16 |
| 28mode_paiement | cheque | 157 | 2 | chèque156cheque1 |
05 / Numeric
Numeric analysis(4)
Range and distribution statistics for accepted numeric values.
Column | Range | Minimum | Maximum | Mean | Median | Distinct | Examples |
|---|---|---|---|---|---|---|---|
| 9numero_voie | 9,988 | 11 | 9,999 | 4,947.492 | 4,858 | 2,576 | 418583989730 Values 100 / 2,576 4185(4) 8398(4) 9730(4) 3069(2) 3866(2) 7447(2) 9852(2) 3905(1) 3932(1) 5062(1) 5310(1) 58(1) 609(1) 654(1) 6959(1) 7140(1) 8067(1) 916(1) 9295(1) 9959(1) |
| 13appartement | 997 | 1 | 998 | 508.1278 | 501 | 665 | 791795958 Values 100 / 665 791(5) 795(5) 958(5) 703(4) 244(2) 655(2) 883(2) 959(2) 996(2) 243(1) 320(1) 367(1) 395(1) 518(1) 533(1) 585(1) 600(1) 607(1) 757(1) 870(1) |
| 26prime_annuelle | 8,046.12 | -3,097.96 | 4,948.16 | 1,224.0938 | 1,101.34 | 2,975 | 2556.061019.341026.39 Values 100 / 2,975 2556.06(3) 1019.34(2) 1026.39(2) 1281.15(1) 1728.39(1) 1746.20(1) 201.78(1) 2101.66(1) 2518.08(1) 2545.65(1) 274.27(1) 2871.97(1) 3211.30(1) 400.24(1) 496.16(1) 549.16(1) 780.67(1) 842.26(1) 931.03(1) 952.12(1) |
| 33montant_reclamation | 243,898.63 | -63,902.75 | 179,995.88 | 28,917.0332 | 19,513.98 | 344 | 0.0014731.85-63902.75 Values 100 / 344 0.00(5) 14731.85(2) -63902.75(1) 11470.48(1) 12639.37(1) 129935.17(1) 19006.52(1) 24718.97(1) 27656.18(1) 36080.21(1) 38914.74(1) 38995.13(1) 4015.68(1) 4624.56(1) 6160.20(1) 81330.68(1) 8303.41(1) 91386.63(1) 9433.94(1) 9471.63(1) |
06 / Dates
Date analysis(6)
Strict date parsing keeps ambiguous, invalid and non-date values separate. Ambiguous values are never resolved from the other values of the column.
Column | Status | Breakdown | Valid | Ambiguous | Invalid | Other | Distinct | Formats |
|---|---|---|---|---|---|---|---|---|
| 6date_naissance | mixed | 88.01%2,635 | 11.89%356 | 0.1%3 | – | 2,889 | 6 variants 6 variants Unambiguous values: DMY 325 · MDY 138. Evidence is shown, never applied. YYYY-MM-DD2,166 (72.34%) Ambiguous: DD-MM-YYYY or MM-DD-YYYY356 (11.89%) DD-MM-YYYY323 (10.79%) MM-DD-YYYY137 (4.58%) YYYY/MM/DD6 (0.2%) DD/MM/YYYY2 (0.07%) MM/DD/YYYY1 (0.03%) Invalid date3 (0.1%) Not a date0 (0.0%) | |
| 23date_debut | mixed | 88.6%2,658 | 11.17%335 | 0.23%7 | – | 2,409 | 5 variants 5 variants Unambiguous values: DMY 340 · MDY 142. Evidence is shown, never applied. YYYY-MM-DD2,170 (72.33%) DD-MM-YYYY338 (11.27%) Ambiguous: DD-MM-YYYY or MM-DD-YYYY335 (11.17%) MM-DD-YYYY142 (4.73%) YYYY/MM/DD6 (0.2%) DD/MM/YYYY2 (0.07%) Invalid date7 (0.23%) Not a date0 (0.0%) | |
| 24date_fin | mixed | 88.91%2,221 | 10.97%274 | 0.12%3 | – | 1,177 | 6 variants 6 variants Unambiguous values: DMY 291 · MDY 125. Evidence is shown, never applied. YYYY-MM-DD1,803 (72.18%) DD-MM-YYYY289 (11.57%) Ambiguous: DD-MM-YYYY or MM-DD-YYYY271 (10.85%) MM-DD-YYYY124 (4.96%) Ambiguous: DD/MM/YYYY or MM/DD/YYYY3 (0.12%) DD/MM/YYYY2 (0.08%) YYYY/MM/DD2 (0.08%) MM/DD/YYYY1 (0.04%) Invalid date3 (0.12%) Not a date0 (0.0%) | |
| 30date_creation | mixed | 89.83%2,695 | 9.97%299 | 0.2%6 | – | 2,361 | 4 variants 4 variants Unambiguous values: DMY 359 · MDY 159. Evidence is shown, never applied. YYYY-MM-DD2,169 (72.3%) DD-MM-YYYY359 (11.97%) Ambiguous: DD-MM-YYYY or MM-DD-YYYY298 (9.93%) MM-DD-YYYY159 (5.3%) YYYY/MM/DD8 (0.27%) Ambiguous: DD/MM/YYYY or MM/DD/YYYY1 (0.03%) Invalid date6 (0.2%) Not a date0 (0.0%) | |
| 31date_modification | mixed | 89.47%2,684 | 10.43%313 | 0.1%3 | – | 2,035 | 5 variants 5 variants Unambiguous values: DMY 346 · MDY 159. Evidence is shown, never applied. YYYY-MM-DD2,174 (72.47%) DD-MM-YYYY345 (11.5%) Ambiguous: DD-MM-YYYY or MM-DD-YYYY312 (10.4%) MM-DD-YYYY159 (5.3%) YYYY/MM/DD5 (0.17%) Ambiguous: DD/MM/YYYY or MM/DD/YYYY1 (0.03%) DD/MM/YYYY1 (0.03%) Invalid date3 (0.1%) Not a date0 (0.0%) | |
| 32date_reclamation | mixed | 87.14%366 | 12.62%53 | 0.24%1 | – | 406 | 3 variants 3 variants Unambiguous values: DMY 46 · MDY 24. Evidence is shown, never applied. YYYY-MM-DD296 (70.48%) Ambiguous: DD-MM-YYYY or MM-DD-YYYY53 (12.62%) DD-MM-YYYY46 (10.95%) MM-DD-YYYY24 (5.71%) Invalid date1 (0.24%) Not a date0 (0.0%) |
07 / Text
String analysis(24)
Length classes, fixed widths and representative values.
Column | Class | Fixed | Min | Max | Mean | Median | Lengths | Distinct | Examples |
|---|---|---|---|---|---|---|---|---|---|
| 1filiale | short | – | 6 | 9 | 8.27 | 9.0 | 3 | principalquebecontario Lengths 3 9 charactersprincipal 72.83%2,185 6 charactersquebec 18.93%568 7 charactersontario 8.23%247 | |
| 2id_client | short | – | 9 | 13 | 11.83 | 12.0 | 2,992 | CLI-00002347ONT0011035CLI-0000043 Lengths 5 12 charactersCLI-00002347 / CLI-00055908 / CLI-00090070 90.57%2,717 10 charactersONT0011035 / ONT0000982 / ONT0002696 8.2%246 11 charactersCLI-0000043 / CLI-0000072 0.63%19 13 charactersCLI--00001642 / CLI--00019558 / CLI--00028886 0.57%17 9 characters 0.03%1 | |
| 3civilite | very short | – | 2 | 3 | 2.49 | 2.0 | 2 | M.Mme Lengths 2 2 charactersM. 50.57%1,517 3 charactersMme 49.43%1,483 | |
| 4prenom | short | – | 3 | 14 | 6.29 | 6.0 | 227 | DanielJulieMélanie Lengths 12 6 charactersDaniel / Robert / Sophie 24.59%736 5 charactersJulie / André / Serge 21.02%629 7 charactersMélanie / William / Jacques 14.07%421 4 charactersMarc / Jean / Éric 12.56%376 8 charactersIsabelle / Caroline / Nathalie 10.16%304 9 charactersCharlotte / Stéphanie / Catherine 9.52%285 3 charactersLuc / Ava / Léo 3.78%113 10 charactersPierre-Luc / Marc-André / MMarie-Ève 1.97%59 13 charactersJean-François / Jean-Philippe 0.87%26 14 charactersLouis-Philippe 0.57%17 12 charactersMarie-Claude 0.47%14 11 characters 0.43%13 | |
| 5nom | short | – | 2 | 10 | 6.22 | 6.0 | 214 | FortinTremblayMorin Lengths 9 6 charactersFortin / Lavoie / Gagnon 25.23%756 8 charactersTremblay / Bouchard / Gauthier 24.53%735 5 charactersMorin / Smith / Gagné 17.66%529 7 charactersOuellet / Leblanc / Boucher 12.85%385 4 charactersCôté / Dubé / Chen 8.24%247 3 charactersRoy / Lee / Kim 5.04%151 9 charactersPelletier / St-Pierre / Rodriguez 4.17%125 2 charactersLi / Le / Wu 1.54%46 10 charactersDesjardins / Richardson / P elletier 0.73%22 | |
| 7sexe | very short | 1 | – | – | – | – | 2 | M Lengths 1 1 characterM / F 100.0%3,000 | |
| 8langue_preferee | very short | 2 | – | – | – | – | 2 | fr Lengths 1 2 charactersfr / en 100.0%3,000 | |
| 10type_voie | short | – | 3 | 9 | 5.81 | 6.0 | 31 | avenueboulevardroute Lengths 7 6 charactersavenue / Street / chemin 31.27%938 9 charactersboulevard / Boulevard / croissant 18.53%556 5 charactersroute / place / Drive 16.37%491 3 charactersrue / Way 16.23%487 4 charactersrang / Road / Lane 10.27%308 7 charactersimpasse / Highway / Terrace 3.87%116 8 charactersterrasse / Crescent 3.47%104 | |
| 11nom_voie | short | – | 3 | 18 | 9.82 | 10.0 | 175 | du Moulindes Champsdes Mélèzes Lengths 16 9 charactersdu Moulin / des Lilas / de l'Aube 15.97%479 10 charactersdes Champs / des Cèdres / des Chênes 12.93%388 11 charactersdes Mélèzes / du Ruisseau / des Érables 11.77%353 8 charactersdes Pins / du Boisé / du Havre 11.13%334 13 charactersde la Rivière / des Peupliers / des Pionniers 10.67%320 6 charactersdu Lac / Spring / Meadow 9.83%295 12 charactersdes Bouleaux / du Belvédère / des Prairies 8.73%262 15 charactersdes Hirondelles / de la Clairière / des Laurentides 6.1%183 5 charactersBirch / Cedar / Maple 4.13%124 7 charactersdu Parc / Orchard / Station 3.8%114 14 charactersde la Traverse / des Trois-Lacs / de la Rivièrre 1.27%38 3 charactersOak / oak 1.13%34 4 charactersPine / Mill / Milg 1.1%33 16 charactersdu Soleil-Levant / de la Côte-Verte 0.73%22 18 charactersde la Grande-Allée 0.43%13 17 charactersdes Deux-Rivières 0.27%8 | |
| 12orientation | very short | – | 3 | 5 | 4.01 | 4.0 | 8 | OuestNordSud Lengths 3 5 charactersOuest / North / South 33.75%243 4 charactersNord / West / East 33.19%239 3 charactersSud / Est 33.06%238 | |
| 14ville | medium | – | 4 | 24 | 9.0 | 8.0 | 135 | MontréalQuébecSherbrooke Lengths 16 8 charactersMontréal / Gatineau / Saguenay 28.8%864 6 charactersQuébec / Ottawa / London 12.53%376 10 charactersSherbrooke / Terrebonne / Repentigny 12.4%372 5 charactersLaval / Lévis / Gaspé 9.37%281 7 charactersToronto / Calgary / Mirabel 8.57%257 9 charactersLongueuil / Vancouver / Mascouche 6.9%207 13 charactersDrummondville / Victoriaville / Rouyn-Noranda 5.43%163 11 charactersMississauga / Châteauguay / Sorel-Tracy 5.03%151 24 charactersSaint-Jean-sur-Richelieu / Salaberry-de-Valleyfield 2.6%78 14 charactersTrois-Rivières / DDrummondville / trois-rivieres 2.37%71 12 charactersSaint-Jérôme / Sainte-Julie 2.0%60 15 charactersSaint-Hyacinthe / Rivière-du-Loup 1.7%51 19 charactersDollard-des-Ormeaux 0.9%27 4 charactersAlma / alma 0.8%24 16 charactersVaudreuil-Dorion 0.57%17 20 charactersDoll ard-des-Ormeaux 0.03%1 | |
| 15province_code | very short | 2 | – | – | – | – | 16 | QC Lengths 1 2 charactersQC / ON / AB 100.0%2,997 | |
| 16province_nom | medium | – | 5 | 25 | 7.03 | 6.0 | 18 | QuébecOntarioColombie-Britannique Lengths 11 6 charactersQuébec / Quebec / quebec 74.8%2,244 7 charactersOntario / Alberta / Nunavut 16.97%509 20 charactersColombie-Britannique / colombie-britannique 2.87%86 17 charactersNouveau-Brunswick 1.87%56 8 charactersManitoba 1.07%32 15 charactersNouvelle-Écosse / Nouvelle-Ecosse 0.8%24 12 charactersSaskatchewan 0.77%23 23 charactersTerre-Neuve-et-Labrador 0.4%12 21 charactersÎle-du-Prince-Édouard 0.23%7 5 charactersYukon 0.17%5 25 charactersTerritoires du Nord-Ouest 0.07%2 | |
| 17code_postal | short | – | 6 | 7 | 6.99 | 7.0 | 2,962 | E2L 6H31K 1T8 Lengths 2 7 charactersE2L 6H3 / G1R 3T5 / G1R 7N8 99.3%2,979 6 characters1K 1T8 / 2B 1E5 / 3R 3R3 0.7%21 | |
| 18pays_code | very short | 2 | – | – | – | – | 2 | CA Lengths 1 2 charactersCA / ca 100.0%3,000 | |
| 19courriel | medium | – | 17 | 38 | 25.34 | 25.0 | 2,992 | aaa9999@aaaaa.aaaaaaaaaaaaa999@aaaaaaa.aaaaaaaaaa9999@aaaaaaa.aaaaaaa Lengths 22 21 charactersaaa9999@aaaaa.aaaaaaa / aaa99@aaaaaaa.aaaaaaa / aaaaa99@aaaaa.aaaaaaa 9.23%277 25 charactersaaaaaa999@aaaaaaa.aaaaaaa / aaaaaaa9999@aaaaa.aaaaaaa / aaaaaaaa999@aaaaa.aaaaaaa 9.2%276 23 charactersaaa9999@aaaaaaa.aaaaaaa / aaaaaa999@aaaaa.aaaaaaa / aaaaaaaaa@aaaaa.aaaaaaa 8.8%264 26 charactersaaaaaa9999@aaaaaaa.aaaaaaa / aaaaaaaa9999@aaaaa.aaaaaaa / aaaaaaaaaaaa@aaaaa.aaaaaaa 8.7%261 27 charactersaaaaaa.aaaaaa@aaaaa.aaaaaaa / aaaaaaaa999@aaaaaaa.aaaaaaa / aaaaaaaaa9999@aaaaa.aaaaaaa 8.27%248 22 charactersaaa999@aaaaaaa.aaaaaaa / aaaaaa99@aaaaa.aaaaaaa / aa9999@aaaaaaa.aaaaaaa 7.83%235 28 charactersaaaaaaaaaaaaaa@aaaaa.aaaaaaa / aaaaaaaaaaaa@aaaaaaa.aaaaaaa / aaaaa.aaaaaa@aaaaaaa.aaaaaaa 7.63%229 24 charactersaaaaaa9999@aaaaa.aaaaaaa / aaaaaaa999@aaaaa.aaaaaaa / aaaaaa99@aaaaaaa.aaaaaaa 7.57%227 29 charactersaaaaaa.aaaaaa@aaaaaaa.aaaaaaa / aaaaaaaaaaaaaaa@aaaaa.aaaaaaa / aaaaaaaaaaaaa@aaaaaaa.aaaaaaa 6.57%197 20 charactersaaa999@aaaaa.aaaaaaa / aa9999@aaaaa.aaaaaaa / aaa99@aaaaaa.aaaaaaa 6.03%181 30 charactersaaaaaaaaaaaaaa@aaaaaaa.aaaaaaa / aaaaaa.aaaaaaa@aaaaaaa.aaaaaaa / aaaaaaa.aaaaaa@aaaaaaa.aaaaaaa 5.7%171 31 charactersaaaaaaaa.aaaaaa@aaaaaaa.aaaaaaa / aaaaaa.aaaaaaaa@aaaaaaa.aaaaaaa / aaaaaaa.aaaaaaa@aaaaaaa.aaaaaaa 4.3%129 19 charactersaaa99@aaaaa.aaaaaaa / aa999@aaaaa.aaaaaaa / aaaaa@aaaaa.aaaaaaa 3.33%100 32 charactersaaaaaaa.aaaaaaaa@aaaaaaa.aaaaaaa / aaaaaaa_aaaaaaaa@aaaaaaa.aaaaaaa / aaaaaaaaa-aaaaaaaa@aaaaa.aaaaaaa 2.47%74 33 charactersaaaaaaaaaaaaaaaaa@aaaaaaa.aaaaaaa / aaaaaaaa.aaaaaa@aaaaaaaaa.aaaaaaa / aaaaaaaaa-aaaaaaa@aaaaaaa.aaaaaaa 1.53%46 18 charactersaa99@aaaaa.aaaaaaa 0.9%27 34 characters 0.9%27 35 charactersaaaaaaaaa.aaaaaaa@aaaaaaaaa.aaaaaaa / aaaaaaaaaaa_aaaaaaa@aaaaaaa.aaaaaaa / aaaaaaaaaaaa.aaaa@aaaaaaaaa.aaaaaaa 0.67%20 36 characters 0.17%5 17 characters 0.07%2 37 characters 0.07%2 38 characters 0.07%2 | |
| 20telephone | short | 15 | – | – | – | – | 1,604 | +9-999-999-9999 Lengths 1 15 characters+9-999-999-9999 / +9 999-999-9999 100.0%3,000 | |
| 21id_contrat | short | – | 13 | 15 | 14.0 | 14.0 | 2,983 | CTR-1000002347CTR--1000004074 Lengths 3 14 charactersCTR-1000002347 / CTR-1000055908 / CTR-1000090070 98.8%2,955 13 characters 0.74%22 15 charactersCTR--1000004074 / CTR--1000010341 / CTR--1000032846 0.47%14 | |
| 22type_contrat | short | – | 3 | 12 | 6.06 | 4.0 | 6 | autohabitationvoyage Lengths 6 4 charactersauto 40.96%1,228 10 charactershabitation 30.35%910 6 charactersvoyage 16.84%505 3 charactersvie 11.64%349 12 charactershabitation_X 0.17%5 8 charactersvoyage_X 0.03%1 | |
| 25statut_contrat | short | – | 5 | 8 | 5.42 | 5.0 | 6 | actifexpirésuspendu Lengths 4 5 charactersactif 75.97%2,279 6 charactersexpiré 12.43%373 8 characterssuspendu / expiré_X 6.37%191 7 charactersrésilié / actif_X 5.23%157 | |
| 27frequence_paiement | short | – | 8 | 13 | 9.33 | 9.0 | 6 | mensuelleannuelletrimestrielle Lengths 6 9 charactersmensuelle 65.3%1,959 8 charactersannuelle 20.3%609 13 characterstrimestrielle 9.8%294 12 characterssemestrielle 4.5%135 10 charactersannuelle_X 0.07%2 11 charactersmensuelle_X 0.03%1 | |
| 28mode_paiement | short | – | 5 | 13 | 8.81 | 11.0 | 9 | prélèvementcartevirement Lengths 7 11 charactersprélèvement / prelevement 54.97%1,649 5 characterscarte 24.7%741 8 charactersvirement 14.83%445 6 characterschèque / cheque 5.23%157 7 characterscarte_X 0.1%3 13 charactersprélèvement_X 0.1%3 10 charactersvirement_X 0.07%2 | |
| 29agence_code | short | – | 9 | 10 | 9.01 | 9.0 | 27 | AG-PR-001AG--PR-001 Lengths 2 9 charactersAG-PR-001 / AG-PR-002 / AG-PR-005 99.47%2,984 10 charactersAG--PR-001 / AG--PR-002 / AG--PR-003 0.53%16 | |
| 34reclamation_status | short | – | 5 | 8 | 6.08 | 6.0 | 4 | ferméen_coursouvert Lengths 3 5 charactersfermé 49.55%218 8 charactersen_cours 28.86%127 6 charactersouvert / rejeté 21.59%95 |
08 / Detectors
Detectors and formats(27)
What each detector recognized per column, with the formats it found. Primary: the interpretation shown as semantic type.
Column | Detector | Matched | Ambiguous | Invalid | Formats |
|---|---|---|---|---|---|
| 1filiale | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 3civilite | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 6date_naissance | date | 88.01%2,635 | 356 | 3 | YYYY-MM-DDDD-MM-YYYYMM-DD-YYYYYYYY/MM/DDDD/MM/YYYYMM/DD/YYYY 6 formats YYYY-MM-DD2,166 (72.34%) DD-MM-YYYY323 (10.79%) MM-DD-YYYY137 (4.58%) YYYY/MM/DD6 (0.2%) DD/MM/YYYY2 (0.07%) MM/DD/YYYY1 (0.03%) |
| 7sexe | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 8langue_preferee | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 9numero_voie | number primary | 100.0%3,000 | 0 | 0 | 0 1 format 03,000 (100.0%) |
| 10type_voie | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 12orientation | enumeration primary | 100.0%720 | 0 | 0 | – |
| 13appartement | number primary | 100.0%1,072 | 0 | 0 | 0 1 format 01,072 (100.0%) |
| 15province_code | enumeration primary | 100.0%2,997 | 0 | 0 | – |
| 16province_nom | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 17code_postal | postal_code primary | 99.3%2,979 | 0 | 0 | A9A 9A9 1 format A9A 9A92,979 (99.3%) |
| 18pays_code | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 19courriel | email primary | 99.6%2,988 | 0 | 12 | – |
| 20telephone | phone primary | 100.0%3,000 | 0 | 0 | +1-999-999-9999+1 999-999-9999 2 formats +1-999-999-99992,958 (98.6%) +1 999-999-999942 (1.4%) |
| 22type_contrat | enumeration primary | 100.0%2,998 | 0 | 0 | – |
| 23date_debut | date | 88.6%2,658 | 335 | 7 | YYYY-MM-DDDD-MM-YYYYMM-DD-YYYYYYYY/MM/DDDD/MM/YYYY 5 formats YYYY-MM-DD2,170 (72.33%) DD-MM-YYYY338 (11.27%) MM-DD-YYYY142 (4.73%) YYYY/MM/DD6 (0.2%) DD/MM/YYYY2 (0.07%) |
| 24date_fin | date | 88.91%2,221 | 274 | 3 | YYYY-MM-DDDD-MM-YYYYMM-DD-YYYYDD/MM/YYYYYYYY/MM/DDMM/DD/YYYY 6 formats YYYY-MM-DD1,803 (72.18%) DD-MM-YYYY289 (11.57%) MM-DD-YYYY124 (4.96%) DD/MM/YYYY2 (0.08%) YYYY/MM/DD2 (0.08%) MM/DD/YYYY1 (0.04%) |
| 25statut_contrat | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 26prime_annuelle | number primary | 100.0%3,000 | 0 | 0 | 0.0 1 format 0.03,000 (100.0%) |
| 27frequence_paiement | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 28mode_paiement | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 29agence_code | enumeration primary | 100.0%3,000 | 0 | 0 | – |
| 30date_creation | date | 89.83%2,695 | 299 | 6 | YYYY-MM-DDDD-MM-YYYYMM-DD-YYYYYYYY/MM/DD 4 formats YYYY-MM-DD2,169 (72.3%) DD-MM-YYYY359 (11.97%) MM-DD-YYYY159 (5.3%) YYYY/MM/DD8 (0.27%) |
| 31date_modification | date | 89.47%2,684 | 313 | 3 | YYYY-MM-DDDD-MM-YYYYMM-DD-YYYYYYYY/MM/DDDD/MM/YYYY 5 formats YYYY-MM-DD2,174 (72.47%) DD-MM-YYYY345 (11.5%) MM-DD-YYYY159 (5.3%) YYYY/MM/DD5 (0.17%) DD/MM/YYYY1 (0.03%) |
| 32date_reclamation | date | 87.14%366 | 53 | 1 | YYYY-MM-DDDD-MM-YYYYMM-DD-YYYY 3 formats YYYY-MM-DD296 (70.48%) DD-MM-YYYY46 (10.95%) MM-DD-YYYY24 (5.71%) |
| 33montant_reclamation | number primary | 100.0%349 | 0 | 0 | 0.0 1 format 0.0349 (100.0%) |
10 / Raw values
Data sample(20)
First 20 records with original row numbers and raw values.
Row | filialetext | id_ | civilitetext | prenomtext | nomtext | date_ | sexetext | langue_ | numero_ | type_ | nom_ | orientationtext | appartementinteger | villetext | province_ | province_ | code_ | pays_ | courrieltext | telephonetext | id_ | type_ | date_ | date_ | statut_ | prime_ | frequence_ | mode_ | agence_ | date_ | date_ | date_ | montant_ | reclamation_ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | principal | CLI-00000281 | Mme | Lucie | Roy | 1961-03-31 | F | fr | 4682 | chemin | des Tulipes | empty | 245 | Montréal | QC | Québec | H4A 9M3 | CA | aa9999@aaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000000281 | auto | 2020-07-16 | 2026-12-28 | actif | 1234.18 | mensuelle | chèque | AG-PR-001 | 2020-07-08 | 2024-10-24 | empty | empty | empty |
| 2 | principal | CLI-00000432 | Mme | Suzanne | Taylor | 1983-01-14 | F | fr | 518 | rue | des Trois-Lacs | empty | 405 | Lévis | QC | Québec | G6V 8P2 | CA | aaa9999@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000000432 | vie | 2027-06-02 | 2021-11-27 | actif | 1123.69 | mensuelle | prélèvement | AG-PR-003 | 2021-11-09 | 2021-11-22 | empty | empty | empty |
| 3 | principal | CLI-00000538 | Mme | Juliette | Michaud | 1941-09-10 | F | fr | 2943 | avenue | des Vents | empty | empty | Granby | QC | Québec | J2H 0H3 | CA | aaa99@aaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000000538 | voyage | 2016-09-30 | 2022-07-20 | résilié | 379.29 | mensuelle | prélèvement | AG-PR-001 | 2016-09-16 | 2017-04-05 | empty | empty | empty |
| 4 | principal | CLI-0000072 | M. | Oliivier | Landry | 1936-12-13 | M | fr | 6132 | route | des Prairies | empty | 519 | Repentigny | QC | Québec | J5Y 2J3 | CA | aaaaaa.aaaaaaa@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000000726 | auto | 2023-03-29 | 2027-05-07 | actif | -744.79 | mensuelle | prélèvement | AG-PR-004 | 2023-03-04 | 2024-06-01 | empty | empty | empty |
| 5 | principal | CLI-00000892 | Mme | Nicole | Tremblay | 1943-04-16 | F | fr | 9307 | chemin | des Ormes | empty | empty | Québec | QC | Québec | G2B 7V8 | CA | aaaaaaaaaaaaaa@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000000892 | voyage | 2017-05-26 | 2018-11-19 | résilié | 241.17 | mensuelle | prélèvement | AG-PR-004 | 2017-05-12 | 2019-10-29 | empty | empty | empty |
| 6 | principal | CLI-00001006 | M. | Luke | Pham | 1979-07-29 | M | en | 2174 | Street | Riverside | empty | empty | Winnipeg | MB | Manitoba | R3C 4S8 | CA | aaaaa@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000001006 | auto | 2025-05-17 | 2026-07-30 | expiré | 695.97 | mensuelle | prélèvement | AG-PR-008 | 2025-04-17 | 2026-06-07 | 2026-05-13 | 24940.92 | rejeté |
| 7 | principal | CLI-00001095 | M. | Émile | Lavoie | 1996-03-27 | M | fr | 909 | rue | du Lac | empty | 358 | Lévis | QC | Québec | G6V 8A4 | CA | aaaaa.aaaaaa@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000001095 | auto | 2025-03-16 | 2027-01-30 | actif | 1144.35 | annuelle | prélèvement | AG-PR-005 | 2025-02-28 | 2025-10-06 | empty | empty | empty |
| 8 | principal | CLI-00001384 | Mme | Catherine | Gagné | 1958-01-22 | F | fr | 6362 | promenade | des Geais-Bleus | Ouest | empty | Lévis | QC | Québec | G6W 9E4 | CA | aaaaaa@aaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000001384 | voyage | 2018-07-30 | empty | actif | 433.12 | mensuelle | prélèvement | AG-PR-001 | 2018-07-08 | 2026-01-16 | empty | empty | empty |
| 9 | principal | CLI-00001430 | M. | Jack | Chowdhury | 1987-11-05 | M | en | 7641 | Place | Pine | empty | empty | Toronto | ON | Ontario | M6G 7M3 | CA | aaaa99@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000001430 | habitation | 2022-06-11 | empty | actif | 1509.17 | mensuelle | prélèvement | AG-PR-001 | 2022-06-10 | 2023-02-24 | empty | empty | empty |
| 10 | principal | CLI--00001642 | Mme | Catherine | Caron | 1981-09-04 | F | fr | 528 | rue | de l'Aube | empty | empty | Montréal | QC | Québec | H4A 4S8 | CA | aaaaaaaaaaaaaa@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000001642 | voyage | 2022-09-27 | 2027-05-13 | actif | 405.78 | mensuelle | prélèvement | AG-PR-004 | 2022-09-11 | 2023-08-08 | empty | empty | empty |
| 11 | principal | CLI-00001668 | Mme | sofia | baker | 1942-02-06 | F | en | 1544 | Avenue | oak | empty | 557 | chateauguay | QC | quebec | J6J 3K7 | CA | aaaaaaaaaa@aaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000001668 | vie | 2024-09-11 | 2027-07-11 | actif | 1043.75 | mensuelle | prélèvement | AG-PR-006 | 2024-08-24 | 2026-04-01 | empty | empty | empty |
| 12 | principal | CLI-00001783 | Mme | Aria | Thompson | 1995-03-16 | F | en | 876 | Avenue | School | empty | empty | Ottawg | ON | Ontario | K1A 4T0 | CA | aaaaaaaa99@aaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000001783 | auto | 2017-07-01 | 2027-04-23 | actif | 672.10 | annuelle | prélèvement | AG-PR-004 | 2017-06-04 | 2019-07-31 | empty | empty | empty |
| 13 | principal | CLI-00001927 | M. | Jean | Côté | 1994-09-21 | M | fr | 2629 | route | de la Traverse | Nord | 991 | Mnotréal | QC | Québec | H2X 4P4 | CA | aaaaaaaa@aaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000001927 | habitation | 2021-02-26 | 2027-02-23 | actif | 2727.70 | annuelle | chèque | AG-PR-007 | 2021-02-03 | 2022-11-27 | empty | empty | empty |
| 14 | principal | CLI-00002289 | M. | Maxime | Gagnon | 1959-11-12 | M | fr | 5066 | avenue | du Parc | empty | 244 | Québec | QC | Québec | G2B 5E5 | CA | aaaaaaaaaaaa@aaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000002289 | auto | 2026-01-07 | 2026-12-24 | actif | 1428.63 | mensuelle | prélèvement | AG-PR-001 | 2025-12-16 | 2026-02-28 | empty | empty | empty |
| 15 | principal | CLI-00002347 | M. | Émile | Rodriguez | 1996-05-21 | M | fr | 2985 | rue | des Saules | empty | 283 | Québec | QC | Québec | G2B 9H7 | CA | aaaaa.aaaaaaaaa@aaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000002347 | voyage | 2023-02-16 | empty | actif | 652.13 | mensuelle | prélèvement | AG-PR-004 | 2023-02-05 | 2026-02-01 | empty | empty | empty |
| 16 | principal | CLI-00002991 | M. | Michael | Walker | 2001-11-15 | M | en | 9868 | Way | Spring | empty | empty | Québec | QC | Québec | G2B 2E7 | CA | aaaaaaa_aaaaaa@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000002991 | vie | 2025-08-01 | 2027-03-08 | actif | 2798.92 | mensuelle | prélèvement | AG-PR-005 | 2025-08-01 | 2026-01-05 | empty | empty | empty |
| 17 | principal | CLI-00003000 | Mme | Marie | Patel | 1979-11-10 | F | fr | 4453 | rue | du Havre | empty | 868 | Québec | QC | Québec | G1V 4H0 | CA | aaaaa9999@aaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000003000 | habitation | 2020-01-28 | 2027-03-15 | actif | 2147.32 | mensuelle | prélèvement | AG-PR-006 | 2020-01-16 | 2022-09-15 | empty | empty | empty |
| 18 | principal | CLI-00003159 | Mme | Anne | Paquette | 1943-03-15 | F | fr | 2897 | croissant | du Moulin | empty | empty | Montréal | QC | Québec | H4A 3C2 | CA | aaaa99@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000003159 | auto | 2024-12-20 | 2027-04-15 | actif | 1731.59 | mensuelle | carte | AG-PR-007 | 2024-12-08 | 2026-02-09 | empty | empty | empty |
| 19 | principal | CLI-00003200 | M. | Sylvain | Silva | 1966-09-14 | M | fr | 26 | carré | des Lilas | empty | empty | Hamilton | ON | Ontario | L8S 1B2 | CA | aaaaaaa_aaaaa@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000003200 | vie | 2026-06-14 | 2027-05-14 | actif | 4319.82 | mensuelle | prélèvement | AG-PR-003 | 2026-05-19 | 2026-06-08 | empty | empty | empty |
| 20 | principal | CLI-00003271 | M. | Jean-Philippe | Ouellet | 1978-04-11 | M | fr | 6502 | avenue | des Champs | Ouest | empty | Fredericton | NB | Nouveau-Brunswick | E3B 3G8 | CA | aaaaaaaaaaaa.aaaaaaa@aaaaaaa.aaaaaaa | +9-999-999-9999 | CTR-1000003271 | vie | 2024-02-22 | 2026-11-10 | actif | 1253.03 | mensuelle | prélèvement | AG-PR-001 | 2024-02-04 | 2025-05-28 | empty | empty | empty |
11 / Method
Analysis settings
Rules used for this analysis, so the result can be reproduced.
- Scope
- All 3,000 records
- Missing values
- absent, null, empty, blank, marker; markers:
"N/A""NULL" - Marker comparison
- Whitespace trimmed; case-sensitive
- Value normalization
- Unicode composition (NFC): enabled; trim: enabled; collapse internal whitespace: enabled; comparison also with case folding: enabled, accents removed: enabled. Raw preview values are preserved.
- Duplicate comparison
- Exact raw values across every column; up to 2,000,000 distinct records compared
- Type inference
- At least 95.0% agreement across present values; numbers with dot or comma decimals, configured dates and true/false. Leading-zero identifiers remain text.
- Date detection
- Orders: YMD, MDY, DMY; separators:
"-""/""."; month names: en, fr; ambiguous order: unresolved, column evidence shown but never applied - Semantic types
- Dates, or the only detector matching at least 95.0% of present values
- Adaptive detection
- Every detector on the first 10,000 distinct values of each column; detectors that recognized none of them, or at most 0.1% of them and none of the last 5,000, then skip the others, except about 1 value in 100. Number and date detection always test every value
- Enumerations
- At most 49 distinct values among at least 500 present values
- Sensitive values
- Masked in examples and the data sample
- String lengths
- Very short through 5; short through 20; medium through 50; long through 255; otherwise very long. Up to 10 examples per length are retained when the maximum is 50 or less.
- Value representation
- Complete through 50 distinct values; otherwise a reproducible sample of 100 distinct values
- Row numbering
- Data records start at 1, excluding the header. Quoted multiline values count as one record.
- Preview selection
- First 20 records; raw values preserved
- JSON format
- 0.1.0a - revision 11 (experimental)
19a6bbb20f91125c6d212c74bfe7d9b8710f114e36042a3179dfec6f18b62389