PII Tools Report

PII Detected

• Personal
  • phone [count=100]
    • 0501000713
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 1}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501000713`, `0501008958`
    • 0501000713
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 2}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501000713`, `0501008958`, `0501008958`
    • 0501008958
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 3}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501000713`, `0501000713`, `0501008958`, `0501016370`
    • 0501008958
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 4}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501000713`, `0501008958`, `0501016370`, `0501016370`
    • 0501016370
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 5}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501008958`, `0501008958`, `0501016370`, `0501017490`
    • 0501016370
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 6}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501008958`, `0501016370`, `0501017490`, `0501017490`
    • 0501017490
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 7}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501016370`, `0501016370`, `0501017490`, `0501017490`
    • 0501017490
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 8}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501016370`, `0501017490`, `0501017490`, `0501028175`
    • 0501017490
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 9}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501017490`, `0501017490`, `0501028175`, `0501028175`
    • 0501028175
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 10}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501017490`, `0501017490`, `0501028175`, `0501035351`
    • 0501028175
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 11}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501017490`, `0501028175`, `0501035351`, `0501035351`
    • 0501035351
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 12}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501028175`, `0501028175`, `0501035351`, `0501036030`
    • 0501035351
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 13}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501028175`, `0501035351`, `0501036030`, `0501036030`
    • 0501036030
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 14}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501035351`, `0501035351`, `0501036030`, `0501036670`
    • 0501036030
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 15}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501035351`, `0501036030`, `0501036670`, `0501036670`
    • 0501036670
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 16}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501036030`, `0501036030`, `0501036670`, `0501042110`
    • 0501036670
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 17}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501036030`, `0501036670`, `0501042110`, `0501042110`
    • 0501042110
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 18}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501036670`, `0501036670`, `0501042110`, `0505036001`
    • 0501042110
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 19}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501036670`, `0501042110`, `0505036001`, `0505036001`
    • 0505036001
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 20}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501042110`, `0501042110`, `0505036001`, `0505037619`
    • 0505036001
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 21}
      context: column `PHONE_NUM`, neighbouring phone rows: `0501042110`, `0505036001`, `0505037619`, `0505037619`
    • 0505037619
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 22}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505036001`, `0505036001`, `0505037619`, `0505037659`
    • 0505037619
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 23}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505036001`, `0505037619`, `0505037659`, `0505037659`
    • 0505037659
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 24}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505037619`, `0505037619`, `0505037659`, `0505078634`
    • 0505037659
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 25}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505037619`, `0505037659`, `0505078634`, `0505078634`
    • 0505078634
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 26}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505037659`, `0505037659`, `0505078634`, `0505101406`
    • 0505078634
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 27}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505037659`, `0505078634`, `0505101406`, `0505101406`
    • 0505101406
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 28}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505078634`, `0505078634`, `0505101406`, `0505101564`
    • 0505101406
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 29}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505078634`, `0505101406`, `0505101564`, `0505101564`
    • 0505101564
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 30}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505101406`, `0505101406`, `0505101564`, `0505101564`
    • 0505101564
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 31}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505101406`, `0505101564`, `0505101564`, `0505102006`
    • 0505101564
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 32}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505101564`, `0505101564`, `0505102006`, `0505102006`
    • 0505102006
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 33}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505101564`, `0505101564`, `0505102006`, `0505102914`
    • 0505102006
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 34}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505101564`, `0505102006`, `0505102914`, `0505102914`
    • 0505102914
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 35}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505102006`, `0505102006`, `0505102914`, `0505144923`
    • 0505102914
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 36}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505102006`, `0505102914`, `0505144923`, `0505144923`
    • 0505144923
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 37}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505102914`, `0505102914`, `0505144923`, `0505150412`
    • 0505144923
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 38}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505102914`, `0505144923`, `0505150412`, `0505150412`
    • 0505150412
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 39}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505144923`, `0505144923`, `0505150412`, `0505150689`
    • 0505150412
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 40}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505144923`, `0505150412`, `0505150689`, `0505150689`
    • 0505150689
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 41}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505150412`, `0505150412`, `0505150689`, `0505150878`
    • 0505150689
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 42}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505150412`, `0505150689`, `0505150878`, `0505150878`
    • 0505150878
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 43}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505150689`, `0505150689`, `0505150878`, `0505151036`
    • 0505150878
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 44}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505150689`, `0505150878`, `0505151036`, `0505151036`
    • 0505151036
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 45}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505150878`, `0505150878`, `0505151036`, `0505151343`
    • 0505151036
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 46}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505150878`, `0505151036`, `0505151343`, `0505151343`
    • 0505151343
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 47}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505151036`, `0505151036`, `0505151343`, `0505151658`
    • 0505151343
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 48}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505151036`, `0505151343`, `0505151658`, `0505151658`
    • 0505151658
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 49}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505151343`, `0505151343`, `0505151658`, `0505151678`
    • 0505151658
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 50}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505151343`, `0505151658`, `0505151678`, `0505151678`
    • 0505151678
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 51}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505151658`, `0505151658`, `0505151678`, `0505151678`
    • 0505151678
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 52}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505151658`, `0505151678`, `0505151678`, `0505152013`
    • 0505151678
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 53}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505151678`, `0505151678`, `0505152013`, `0505152013`
    • 0505152013
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 54}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505151678`, `0505151678`, `0505152013`, `0505152210`
    • 0505152013
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 55}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505151678`, `0505152013`, `0505152210`, `0505152210`
    • 0505152210
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 56}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505152013`, `0505152013`, `0505152210`, `0505152266`
    • 0505152210
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 57}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505152013`, `0505152210`, `0505152266`, `0505152266`
    • 0505152266
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 58}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505152210`, `0505152210`, `0505152266`, `0505152266`
    • 0505152266
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 59}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505152210`, `0505152266`, `0505152266`, `0505152443`
    • 0505152266
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 60}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505152266`, `0505152266`, `0505152443`, `0505152443`
    • 0505152443
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 61}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505152266`, `0505152266`, `0505152443`, `0505206107`
    • 0505152443
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 62}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505152266`, `0505152443`, `0505206107`, `0505206107`
    • 0505206107
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 63}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505152443`, `0505152443`, `0505206107`, `0505206243`
    • 0505206107
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 64}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505152443`, `0505206107`, `0505206243`, `0505206243`
    • 0505206243
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 65}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505206107`, `0505206107`, `0505206243`, `4953006103`
    • 0505206243
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 66}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505206107`, `0505206243`, `4953006103`, `4953006103`
    • 4953006103
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 67}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505206243`, `0505206243`, `4953006103`, `4953012162`
    • 4953006103
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 68}
      context: column `PHONE_NUM`, neighbouring phone rows: `0505206243`, `4953006103`, `4953012162`, `4953012162`
    • 4953012162
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 69}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953006103`, `4953006103`, `4953012162`, `4953020759`
    • 4953012162
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 70}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953006103`, `4953012162`, `4953020759`, `4953020759`
    • 4953020759
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 71}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953012162`, `4953012162`, `4953020759`, `4953023504`
    • 4953020759
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 72}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953012162`, `4953020759`, `4953023504`, `4953023504`
    • 4953023504
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 73}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953020759`, `4953020759`, `4953023504`, `4953044507`
    • 4953023504
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 74}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953020759`, `4953023504`, `4953044507`, `4953044507`
    • 4953044507
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 75}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953023504`, `4953023504`, `4953044507`, `4953057265`
    • 4953044507
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 76}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953023504`, `4953044507`, `4953057265`, `4953057265`
    • 4953057265
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 77}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953044507`, `4953044507`, `4953057265`, `4953057391`
    • 4953057265
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 78}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953044507`, `4953057265`, `4953057391`, `4953057391`
    • 4953057391
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 79}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953057265`, `4953057265`, `4953057391`, `4953071841`
    • 4953057391
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 80}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953057265`, `4953057391`, `4953071841`, `4953071841`
    • 4953071841
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 81}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953057391`, `4953057391`, `4953071841`, `4953092338`
    • 4953071841
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 82}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953057391`, `4953071841`, `4953092338`, `4953092338`
    • 4953092338
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 83}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953071841`, `4953071841`, `4953092338`, `4953096228`
    • 4953092338
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 84}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953071841`, `4953092338`, `4953096228`, `4953096228`
    • 4953096228
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 85}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953092338`, `4953092338`, `4953096228`, `4953131404`
    • 4953096228
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 86}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953092338`, `4953096228`, `4953131404`, `4953131404`
    • 4953131404
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 87}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953096228`, `4953096228`, `4953131404`, `4953132369`
    • 4953131404
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 88}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953096228`, `4953131404`, `4953132369`, `4953132369`
    • 4953132369
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 89}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953131404`, `4953131404`, `4953132369`, `4953140196`
    • 4953132369
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 90}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953131404`, `4953132369`, `4953140196`, `4953140196`
    • 4953140196
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 91}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953132369`, `4953132369`, `4953140196`, `4953140910`
    • 4953140196
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 92}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953132369`, `4953140196`, `4953140910`, `4953140910`
    • 4953140910
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 93}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953140196`, `4953140196`, `4953140910`, `4953141393`
    • 4953140910
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 94}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953140196`, `4953140910`, `4953141393`, `4953141393`
    • 4953141393
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 95}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953140910`, `4953140910`, `4953141393`, `4953143723`
    • 4953141393
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 96}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953140910`, `4953141393`, `4953143723`, `4953143723`
    • 4953143723
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 97}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953141393`, `4953141393`, `4953143723`, `4953143723`
    • 4953143723
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 98}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953141393`, `4953143723`, `4953143723`, `4953161919`
    • 4953143723
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 99}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953143723`, `4953143723`, `4953161919`
    • 4953161919
      confidence: 1.0
      position: {"char": 0, "col": 1, "row": 100}
      context: column `PHONE_NUM`, neighbouring phone rows: `4953143723`, `4953143723`

Storage metadata

• md5: 4ba48dd20b9040ace484fd6ccdaa553d
• owner: radimrehurek
• doctype: csv
• filename: повторки-фев.csv
• filesize: 31306
• location: pii-tools-public/csv/повторки-фев.csv
• file_hash: Rf5hX8kinnzVQNrkRzag
• content_type: text/csv
• storage_type: s3
• last_modified: 1543349536.0