saturn

/home/coolhand/html/datavis/data_trove/joshua-project/joshua_project_unreached.parquet 7,124 rows sample n=7,124 seed 42 2026-05-01T18:35:56+00:00

Overview

Source/home/coolhand/html/datavis/data_trove/joshua-project/joshua_project_unreached.parquet
Total rows7,124
Profiled sample7,124
Columns109
Generated2026-05-01T18:35:56+00:00

Insights opt-in

Model-generated narrative. These are opinions, not facts — the stats below are what saturn measured. Generated by: anthropic:claude-opus-4-7.

Errors during insight pass (110)
  • dataset:__global__:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDmoEUa7FDbTb37heQ'}
  • column:PeopleID3ROG3:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDnF28a7SYLASqyKML'}
  • column:ROG3:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDnj3VL8weiNsV4Hx9'}
  • column:PeopleID3:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDoEJVyHvEkZBJksMy'}
  • column:ROP3:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDopXBiL6CFp9LnwCZ'}
  • column:PeopNameInCountry:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDqnbGt4hArjLKa3Vx'}
  • column:ROG2:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDvrC2HQ5vEUirzuui'}
  • column:Continent:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDwLiHhp5SyFgW3wTy'}
  • column:RegionName:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDwpjg51Saxx1s68E1'}
  • column:ISO3:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDxh4yNEBfNmQpAkj6'}
  • column:LocationInCountry:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDyQjXVZfjuVddd2bo'}
  • column:PeopleID1:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDywUgeqdCttLvtH3x'}
  • column:ROP1:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDzRVzq7nKJH2iAEwk'}
  • column:AffinityBloc:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLDzumZX5Xkrig6ufog'}
  • column:PeopleID2:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE1PYREJ2jXLZWnhv2'}
  • column:ROP2:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE1uJZJwTFCwnQ1ELN'}
  • column:PeopleCluster:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE2Y12y2pfJT3vv1yA'}
  • column:PeopNameAcrossCountries:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE3DRdrLwXiremeCzh'}
  • column:Population:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE3jvv1WfPsKVeyXuV'}
  • column:Category:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE4GRknmkGJciK3Upj'}
  • column:ROL3:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE4pAofUT1ETLCp9R1'}
  • column:PrimaryLanguageName:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE5NfD2jwXagKLPCdp'}
  • column:PrimaryLanguageDialect:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE5xNqp1f2uEdabWqN'}
  • column:NumberLanguagesSpoken:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE6f3bNqMk4TajaYiA'}
  • column:OfficialLang:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE79a1rBSZxXJLHANE'}
  • column:SpeakNationalLang:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE7bbnC2bDpwRuq6Nj'}
  • column:BibleStatus:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE88qxN7oPVgrC4K54'}
  • column:BibleYear:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE8iaJHRFY8xwjLGN7'}
  • column:NTYear:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE9BMMmUmRpkvDYQhd'}
  • column:PortionsYear:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLE9c9u4W3p7hXvDZsb'}
  • column:TranslationNeedQuestionable:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEA6uvRH1JGgrWLT22'}
  • column:JPScale:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEAcgBenim6Z6DXMnG'}
  • column:JPScalePC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEBEPAssb3Xpcn9u47'}
  • column:JPScalePGAC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEBpMPcuwqoPS8qemn'}
  • column:LeastReached:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLECS4bqY8hkUEk6w7Y'}
  • column:LeastReachedPC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLED8VAPArPej4zpkxX'}
  • column:LeastReachedPGAC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEDiDAs4UV3VqaSedj'}
  • column:GSEC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEEDiJJYG9pQHQguEj'}
  • column:HasAudioRecordings:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEEmx5EdRsPA3P9Sxt'}
  • column:NTOnline:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEFKSm245NuMCX8CGi'}
  • column:RLG3:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEFqCZn3Yb2hBdKfvp'}
  • column:RLG3PC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEGTA773SyAgQYL8Ew'}
  • column:RLG3PGAC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEGrDcBcvA9S6cPvXg'}
  • column:PrimaryReligion:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEHZdiiPGHH1iMfcBA'}
  • column:PrimaryReligionPC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEJGo13DvpmDxKdJDY'}
  • column:PrimaryReligionPGAC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEJrGdsvfmKL4jd2ju'}
  • column:RLG4:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEKMXvcLbaaYN9LN2S'}
  • column:ReligionSubdivision:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEKyk1x5yR8pMAkDwz'}
  • column:PCIslam:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLELU1T95d8wPuBXDWY'}
  • column:PCNonReligious:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLELz1hCnvWAQfqA8BM'}
  • column:PCUnknown:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEMkQGrdbrDZwHe3Gg'}
  • column:SecurityLevel:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLENJPPKec52inQP6b2'}
  • column:LRTop100:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLENw6E8rwYNpVrzwnn'}
  • column:PhotoAddress:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEPVKzjk6JdC7sQY9t'}
  • column:PhotoCredits:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEQCzK7vZhKmKSGeU8'}
  • column:PhotoCreditURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEQqSFD1bQgeJ3XH7L'}
  • column:PhotoCreativeCommons:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLERMSp1X1m8cWbmTtS'}
  • column:PhotoCopyright:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLERvB9RB88423P7kBs'}
  • column:PhotoPermission:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLESNxR2exezat3brX9'}
  • column:ProfileTextExists:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLETLVx5YK8Bb8RxiKF'}
  • column:CountOfCountries:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEU2BXBqdRmU2RNGSu'}
  • column:CountOfProvinces:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEUXSQtSZ5zeEm3TZP'}
  • column:Longitude:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEV2x6pjyvTruTtVBj'}
  • column:Latitude:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEVaC217zKsPwdvSvf'}
  • column:Ctry:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEW4DQKzX3BJnpyWL5'}
  • column:IndigenousCode:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEWXVgQgHTmK1LcejC'}
  • column:PercentAdherents:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEWyXixrziLFd4koEU'}
  • column:PercentChristianPC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEXS4SFBhWrGHQGj7z'}
  • column:NaturalName:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEXx56d8PFP4RqcW1u'}
  • column:NaturalPronunciation:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEYZH7BjFsRxc1itdp'}
  • column:PercentChristianPGAC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEZ1pJdxJzpDj4LM3Q'}
  • column:PercentEvangelical:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEZZJeTaKCXfHNiUzh'}
  • column:PercentEvangelicalPC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEaaaHio916ohU4ZB6'}
  • column:PercentEvangelicalPGAC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEb2Mu4PoAJEkXGyzM'}
  • column:PCBuddhism:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEbWsmUAA7GiFNg7F8'}
  • column:PCEthnicReligions:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEbzQUxRxMFrgGssuq'}
  • column:PCHinduism:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEcWettQJs37geJRdm'}
  • column:PCOtherSmall:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEd6dSs1YA6JC6zD9t'}
  • column:RegionCode:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEdYRUEbmXcRfWHogy'}
  • column:PopulationPGAC:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEe3RwByRANyLyWq8S'}
  • column:Frontier:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEeZSVH8NdbEx7NJv2'}
  • column:MapAddress:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEfsZtQyyVGnnSGkmJ'}
  • column:HasJesusFilm:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEgiv4PwrUW4MxfNvV'}
  • column:Nomadic:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEheyHzEbewsGQ7Lf6'}
  • column:NomadicTypeDescription:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEiAj71mey33itWwsy'}
  • column:PhotoCCVersionText:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEjAFwHU4pkqumyivH'}
  • column:PhotoCCVersionURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEk9YP3zMbj6dcJmwC'}
  • column:MapCredits:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEkpiytwCFikxAkYos'}
  • column:MapCreditURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEmG1x6yGM9tmMRBTu'}
  • column:MapCopyright:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEmhZJzemoT5iveFbe'}
  • column:MapCCVersionText:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEnE4KuTDJ5qhztGZS'}
  • column:MapCCVersionURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEnk4VBef5w4C6rMht'}
  • column:JF:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEoVhfRESkC6zWKJvU'}
  • column:AudioRecordings:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEp7AXyCeZ65ZNUWG2'}
  • column:Window1040:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEpsYvdwgVHHXra5eM'}
  • column:PeopleGroupMapURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEqQYeNcwCW2hLxJJE'}
  • column:PeopleGroupMapExpandedURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEqqqt8meCFGbwDErU'}
  • column:PeopleGroupURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLErK7y4buPiRaCKSjq'}
  • column:PeopleGroupPhotoURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLErodtHPddwXoBTJen'}
  • column:CountryURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEsGAxjXxqE3kyXivM'}
  • column:JPScaleText:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEskwQFZMgkSPqdyo3'}
  • column:JPScaleImageURL:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEtFhZ9zhFW7H7hBfr'}
  • column:Summary:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEthzGSDGuYKBpstDm'}
  • column:Obstacles:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEuEywbhKFELnfUuAa'}
  • column:HowReach:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEukzKrvKcQqodPe5T'}
  • column:PrayForChurch:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEvGFTUaCAynaT8boS'}
  • column:PrayForPG:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEvjXhNBsNHLMb9Pj6'}
  • column:Resources:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEwC4VSspEWwAenKgr'}
  • column:country_data:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLEwjZAKnSPih9B5NRt'}
  • column:language_data:anthropic:claude-opus-4-7: BadRequestError — Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}, 'request_id': 'req_011CacLExB6RaWzDDmtcmUL4'}

Numeric correlation

Languages detected

Per-string language detection across text columns (sampled).

PeopleID3ROG3 text

100.0% of rows are unique strings 100.0% rows are a single word 100.0% rows are all-caps 95th-percentile length under 20 chars
rows7,124
null0 (0.0%)
unique7,124
len_min7
len_max7
len_mean7.000
len_median7.000
len_p957.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates0
duplicate_rate0.000
vocab_size7,124
readability_flesch_mean112.337
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate1.000
boilerplate_rate0.000
Sample values (first 10)
  1. 10375CE
  2. 21769IN
  3. 14244NI
  4. 10824PU
  5. 16828IN
  6. 18274LY
  7. 17080NP
  8. 22370NI
  9. 10949CM
  10. 13819NO

ROG3 categorical

rows7,124
null0 (0.0%)
unique202
top_valueIN
top_rate0.285
cardinality202
entropy5.058
entropy_ratio0.661
Top values (rank 1–20)
  1. IN — 2,032
  2. PK — 767
  3. CH — 442
  4. BG — 256
  5. ID — 234
  6. NP — 184
  7. SU — 168
  8. LA — 142
  9. RS — 115
  10. US — 90
  11. IR — 85
  12. CD — 81
  13. MY — 78
  14. TH — 73
  15. VM — 69
  16. TU — 61
  17. BM — 59
  18. AF — 58
  19. CE — 55
  20. CA — 52

PeopleID3 numeric

rows7,124
null0 (0.0%)
unique4,614
min10,120
max22,661
mean16,934
median17,356
std3,431
q114,328
q319,579
iqr5,251
skew-0.226
kurtosis-0.953
n_outliers0
outlier_rate0.000
zero_rate0.000

ROP3 numeric

rows7,124
null7 (0.1%)
unique4,608
min100,005
max119,619
mean111,444
median112,533
std5,269
q1107,901
q3115,240
iqr7,339
skew-0.471
kurtosis-0.727
n_outliers0
outlier_rate0.000
zero_rate0.000

PeopNameInCountry text

45.7% rows are a single word 33.7% duplicate strings
rows7,124
null0 (0.0%)
unique4,722
len_min1
len_max39
len_mean12.500
len_median11.000
len_p9527.000
word_mean1.784
word_median2.000
n_empty0
n_duplicates2,402
duplicate_rate0.337
vocab_size4,602
readability_flesch_mean56.379
emoji_rate0.000
url_rate0.000
one_word_rate0.457
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Arab
  2. Mansoori
  3. Pa'a, Afawa
  4. Biafada
  5. Ghosi (Hindu traditions)
  6. Turk
  7. Kandu
  8. Tulai
  9. Fulani, Nigerian
  10. Arab, Moroccan

ROG2 categorical

rows7,124
null0 (0.0%)
unique7
top_valueASI
top_rate0.751
cardinality7
entropy1.251
entropy_ratio0.446
Top values (rank 1–20)
  1. ASI — 5,351
  2. AFR — 986
  3. EUR — 431
  4. NAR — 175
  5. LAM — 106
  6. AUS — 39
  7. SOP — 36

Continent categorical

rows7,124
null0 (0.0%)
unique7
top_valueAsia
top_rate0.751
cardinality7
entropy1.251
entropy_ratio0.446
Top values (rank 1–20)
  1. Asia — 5,351
  2. Africa — 986
  3. Europe — 431
  4. North America — 175
  5. South America — 106
  6. Australia — 39
  7. Oceania — 36

RegionName categorical

rows7,124
null0 (0.0%)
unique12
top_valueAsia, South
top_rate0.470
cardinality12
entropy2.715
entropy_ratio0.757
Top values (rank 1–20)
  1. Asia, South — 3,349
  2. Asia, Southeast — 726
  3. Asia, Northeast — 521
  4. Africa, West and Central — 460
  5. Africa, North and Middle East — 444
  6. Africa, East and Southern — 373
  7. Asia, Central — 352
  8. Europe, Western — 320
  9. Europe, Eastern and Eurasia — 223
  10. America, North and Caribbean — 160
  11. America, Latin — 121
  12. Australia and Pacific — 75

ISO3 categorical

rows7,124
null0 (0.0%)
unique202
top_valueIND
top_rate0.285
cardinality202
entropy5.058
entropy_ratio0.661
Top values (rank 1–20)
  1. IND — 2,032
  2. PAK — 767
  3. CHN — 442
  4. BGD — 256
  5. IDN — 234
  6. NPL — 184
  7. SDN — 168
  8. LAO — 142
  9. RUS — 115
  10. USA — 90
  11. IRN — 85
  12. TCD — 81
  13. MYS — 78
  14. THA — 73
  15. VNM — 69
  16. TUR — 61
  17. MMR — 59
  18. AFG — 58
  19. LKA — 55
  20. CAN — 52

LocationInCountry text

11 languages detected in sample 64.2% null
rows7,124
null4,576 (64.2%)
unique2,176
len_min3
len_max939
len_mean141.073
len_median89.000
len_p95455.650
word_mean21.145
word_median12.000
n_empty0
n_duplicates372
duplicate_rate0.146
vocab_size10,936
readability_flesch_mean41.645
emoji_rate0.000
url_rate0.000
one_word_rate0.043
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Gulf Bedu or village peoples
  2. Widespread. Formerly Zanzibar, coastal areas.
  3. A 1987 linguistic study listed 91,000 speakers of the Northern Khampa Tibetan language. They occupy the large, sparsely populated Yushu Tibetan Autonomous Prefecture in southern Qinghai Province. Northern Khampa is spoken as far north as the 5,214-meter-high (17,100 ft.) Mount Ya…
  4. Janub Darfur State, Daju hills 40 km northeast of Nyala; Gharb Darfur state: Geneina district; Lagowa dialect: Janub Kurdufan state: Lagawa, Dar el Kabira (Kidong), Silecce, Warina, Jebel Miheila, Nyukri, and Tamanyik area villages.
  5. Nan province: Bo Kluea district, Laos-Thailand border.
  6. Siberia, most in Sakha (Yakutiya), and Krasnoyarskiy Kray; also in Irkutskaya Oblast’, Buryatiya, Zabaykalsky, and Amurskaya Oblast’; Pacific coast settlements, Magadanskaya Oblast’, Chukotskiy Avtonomnyy Okrug, Khabarovskiy Kray, Kamchatka, and Sakhalinskaya Oblast’.
  7. Phongali and Oudomxai provinces, Samphan and Namo districts.
  8. The Boyu Tibetans live in the large Boyu Village in Zhugqu County. Zhugqu is within the Gaanan Prefecture in poverty-stricken Gansu Province. They live atop a 3,000- meter-high (9,840 ft.) mountain. "Boyu is located at the heart of a complex of high peaks and deep ravines, and th…
  9. Upper portion of Tana river
  10. Agadez region: Bilma north from N’guigmi to Libya border; Diffa region; Zinder region: Goure department.

PeopleID1 numeric

32.9% rows beyond 1.5 IQR
rows7,124
null0 (0.0%)
unique16
min10.000
max26.000
mean19.511
median21.000
std3.858
q120.000
q321.000
iqr1.000
skew-1.337
kurtosis0.832
n_outliers2,347
outlier_rate0.329
zero_rate0.000

ROP1 categorical

rows7,124
null0 (0.0%)
unique16
top_valueA012
top_rate0.517
cardinality16
entropy2.676
entropy_ratio0.669
Top values (rank 1–20)
  1. A012 — 3,681
  2. A013 — 632
  3. A001 — 475
  4. A011 — 451
  5. A008 — 339
  6. A014 — 287
  7. A015 — 269
  8. A005 — 225
  9. A003 — 166
  10. A017 — 151
  11. A002 — 140
  12. A006 — 128
  13. A004 — 83
  14. A007 — 81
  15. A010 — 13
  16. A009 — 3

AffinityBloc categorical

rows7,124
null0 (0.0%)
unique16
top_valueSouth Asian Peoples
top_rate0.517
cardinality16
entropy2.676
entropy_ratio0.669
Top values (rank 1–20)
  1. South Asian Peoples — 3,681
  2. Sub-Saharan Peoples — 632
  3. Arab World — 475
  4. Southeast Asian Peoples — 451
  5. Malay Peoples — 339
  6. Tibetan-Himalayan Peoples — 287
  7. Turkic Peoples — 269
  8. Persian-Median — 225
  9. Eurasian Peoples — 166
  10. Deaf — 151
  11. East Asian Peoples — 140
  12. Jewish — 128
  13. Horn of Africa Peoples — 83
  14. Latin-Caribbean Americans — 81
  15. Pacific Islanders — 13
  16. North American Peoples — 3

PeopleID2 numeric

rows7,124
null0 (0.0%)
unique205
min101.000
max475.000
mean339.013
median412.000
std123.203
q1232.750
q3450.000
iqr217.250
skew-0.503
kurtosis-1.242
n_outliers0
outlier_rate0.000
zero_rate0.000

ROP2 categorical

rows7,124
null0 (0.0%)
unique155
top_valueA012
top_rate0.516
cardinality155
entropy4.085
entropy_ratio0.561
Top values (rank 1–20)
  1. A012 — 3,678
  2. C0229 — 169
  3. C0147 — 167
  4. C0252 — 151
  5. C0102 — 128
  6. C0061 — 111
  7. C0179 — 90
  8. C0207 — 86
  9. C0013 — 76
  10. C0156 — 75
  11. C0223 — 75
  12. C0015 — 70
  13. C0221 — 68
  14. C0126 — 63
  15. C0114 — 61
  16. C0017 — 59
  17. C0019 — 58
  18. C0216 — 52
  19. C0062 — 51
  20. C0201 — 50

PeopleCluster categorical

rows7,124
null0 (0.0%)
unique205
top_valueSouth Asia Hindu - other
top_rate0.122
cardinality205
entropy6.108
entropy_ratio0.795
Top values (rank 1–20)
  1. South Asia Hindu - other — 869
  2. South Asia Muslim - other — 586
  3. South Asia Dalit - other — 352
  4. South Asia Tribal - other — 311
  5. South Asia Muslim - Pashtun — 293
  6. Tibeto-Burman, other — 169
  7. Mon-Khmer — 167
  8. Deaf — 151
  9. South Asia Muslim - Jat — 138
  10. Jewish — 128
  11. South Asia Forward Caste - Brahmin — 123
  12. South Asia - other — 114
  13. South Asia Muslim - Rajput — 112
  14. Caucasus — 111
  15. South Asia Forward Caste - Rajput — 95
  16. Persian — 90
  17. South Asia Buddhist — 87
  18. Tai — 86
  19. South Asia Hindu - Jat — 77
  20. Arab, Arabian — 76

PeopNameAcrossCountries text

47.5% rows are a single word 35.4% duplicate strings
rows7,124
null0 (0.0%)
unique4,604
len_min1
len_max39
len_mean12.378
len_median10.000
len_p9527.000
word_mean1.766
word_median2.000
n_empty0
n_duplicates2,520
duplicate_rate0.354
vocab_size4,431
readability_flesch_mean56.012
emoji_rate0.000
url_rate0.000
one_word_rate0.475
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Arab
  2. Mansoori
  3. Pa'a
  4. Biafada
  5. Ghosi (Hindu traditions)
  6. Turk
  7. Kandu
  8. Tulai
  9. Fulani, Nigerian
  10. Arab, Moroccan

Population numeric

skew=+21.10 14.9% rows beyond 1.5 IQR
rows7,124
null15 (0.2%)
unique1,200
min10.000
max135,533,000
mean502,570
median30,000
std3,568,059
q16,700
q3129,000
iqr122,300
skew21.104
kurtosis607.380
n_outliers1,058
outlier_rate0.149
zero_rate0.000

Category categorical

rows7,124
null0 (0.0%)
unique3
top_value3
top_rate0.603
cardinality3
entropy1.234
entropy_ratio0.779
Top values (rank 1–20)
  1. 3 — 4,299
  2. 1 — 2,330
  3. 2 — 495

ROL3 text

100.0% rows are a single word 95th-percentile length under 20 chars 78.0% duplicate strings
rows7,124
null0 (0.0%)
unique1,565
len_min3
len_max3
len_mean3.000
len_median3.000
len_p953.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates5,559
duplicate_rate0.780
vocab_size1,564
readability_flesch_mean118.682
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate2.81e-04
boilerplate_rate0.000
Sample values (first 10)
  1. acm
  2. guj
  3. pqa
  4. bif
  5. hin
  6. tur
  7. bho
  8. hau
  9. fuv
  10. ary

PrimaryLanguageName text

70.2% rows are a single word 95th-percentile length under 20 chars 78.1% duplicate strings
rows7,124
null0 (0.0%)
unique1,563
len_min1
len_max32
len_mean9.147
len_median7.000
len_p9517.000
word_mean1.331
word_median1.000
n_empty0
n_duplicates5,561
duplicate_rate0.781
vocab_size1,641
readability_flesch_mean33.283
emoji_rate0.000
url_rate0.000
one_word_rate0.702
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Arabic, Mesopotamian
  2. Gujarati
  3. Pa'a
  4. Biafada
  5. Hindi
  6. Turkish
  7. Bhojpuri
  8. Hausa
  9. Fulfulde, Nigerian
  10. Arabic, Moroccan

PrimaryLanguageDialect categorical

255 singleton categories 94.5% null
rows7,124
null6,732 (94.5%)
unique303
top_valuePunjabi
top_rate0.031
cardinality303
entropy8.011
entropy_ratio0.972
Top values (rank 1–20)
  1. Punjabi — 12
  2. Ta'izzi — 8
  3. Sinhalese — 6
  4. Wasulunkakan — 6
  5. Pomak — 5
  6. Siripuria — 5
  7. Hui — 4
  8. Vixlin — 4
  9. Western Sudanese — 3
  10. Brazilian Portuguese — 3
  11. Bawean — 3
  12. Bajuni — 3
  13. Miri — 3
  14. Southern Khams — 3
  15. Levantine Turkmen — 3
  16. Jerbi — 2
  17. Tawallammat Tan Ataram — 2
  18. Tihami — 2
  19. Timbuktu — 2
  20. Xinan Guanhua — 2

NumberLanguagesSpoken numeric

skew=+4.87 8.4% rows beyond 1.5 IQR
rows7,124
null0 (0.0%)
unique69
min1.000
max120.000
mean4.333
median1.000
std7.320
q11.000
q35.000
iqr4.000
skew4.871
kurtosis36.314
n_outliers597
outlier_rate0.084
zero_rate0.000

OfficialLang categorical

rows7,124
null6 (0.1%)
unique79
top_valueHindi
top_rate0.285
cardinality79
entropy4.178
entropy_ratio0.663
Top values (rank 1–20)
  1. Hindi — 2,032
  2. Urdu — 767
  3. Arabic, Standard — 657
  4. Chinese, Mandarin — 475
  5. English — 433
  6. French — 303
  7. Bengali — 256
  8. Indonesian — 234
  9. Nepali — 184
  10. Lao — 142
  11. Russian — 115
  12. Portuguese — 94
  13. Malay — 87
  14. Persian, Iranian — 85
  15. Spanish — 79
  16. Thai — 73
  17. Vietnamese — 69
  18. Turkish — 61
  19. Burmese — 59
  20. Pashto, Southern — 58

SpeakNationalLang unknown

no profiler for kind=unknown
rows7,124
null0 (0.0%)

BibleStatus numeric

13.5% rows beyond 1.5 IQR
rows7,124
null0 (0.0%)
unique6
min0.000
max5.000
mean4.054
median5.000
std1.342
q14.000
q35.000
iqr1.000
skew-1.513
kurtosis1.538
n_outliers961
outlier_rate0.135
zero_rate0.038

BibleYear categorical

45.8% null
rows7,124
null3,262 (45.8%)
unique163
top_value1818-2022
top_rate0.171
cardinality163
entropy5.318
entropy_ratio0.724
Top values (rank 1–20)
  1. 1818-2022 — 662
  2. 1809-2022 — 357
  3. 1954 — 191
  4. 1843-2022 — 167
  5. 1823-2021 — 155
  6. 1815-2021 — 150
  7. 1895-2020 — 146
  8. 1854-2022 — 136
  9. 1959-2021 — 131
  10. 1727-2024 — 129
  11. 1821-2024 — 96
  12. 1827-2024 — 90
  13. 1841-2022 — 85
  14. 2008 — 80
  15. 1914-2024 — 71
  16. 1827-2009 — 55
  17. 1874-2018 — 50
  18. 2023 — 43
  19. 1883-2018 — 36
  20. 1838-2023 — 36

NTYear categorical

24.6% null
rows7,124
null1,756 (24.6%)
unique305
top_value1811-1998
top_rate0.123
cardinality305
entropy6.065
entropy_ratio0.735
Top values (rank 1–20)
  1. 1811-1998 — 662
  2. 1801-1984 — 357
  3. Yes — 345
  4. 1890-1992 — 191
  5. 1758-2000 — 167
  6. 1820-1985 — 155
  7. 1809-2000 — 150
  8. 1818-1991 — 146
  9. 2023-2024 — 146
  10. 1818-1989 — 136
  11. 1815-2011 — 131
  12. 1819-2021 — 130
  13. 1715-1998 — 129
  14. 1978-2022 — 110
  15. 1827-2023 — 100
  16. 1811-1982 — 96
  17. 1829-1995 — 85
  18. 2010 — 83
  19. 1819-1993 — 77
  20. 1821-2010 — 71

PortionsYear categorical

rows7,124
null961 (13.5%)
unique460
top_valueYes
top_rate0.133
cardinality460
entropy6.289
entropy_ratio0.711
Top values (rank 1–20)
  1. Yes — 821
  2. 1806-1962 — 662
  3. 1800-1980 — 357
  4. 1825-1981 — 191
  5. 1747-1894 — 167
  6. 1809-1965 — 155
  7. 1811-1956 — 150
  8. 1824-2010 — 146
  9. 1812-1966 — 136
  10. 1818-1954 — 131
  11. 1885-1922 — 130
  12. 1714-1956 — 129
  13. 1927-1964 — 110
  14. 1807-1957 — 96
  15. 1812-1988 — 90
  16. 1811-1968 — 85
  17. 2024 — 73
  18. 1850-1961 — 71
  19. 1782-1985 — 55
  20. 1939-2021 — 52

TranslationNeedQuestionable unknown

no profiler for kind=unknown
rows7,124
null0 (0.0%)

JPScale numeric

only one distinct value
rows7,124
null0 (0.0%)
unique1
min1.000
max1.000
mean1.000
median1.000
std0.000
q11.000
q31.000
iqr0.000
skew0.000
kurtosis0.000
n_outliers0
outlier_rate0.000
zero_rate0.000

JPScalePC categorical

rows7,124
null0 (0.0%)
unique5
top_value1
top_rate0.702
cardinality5
entropy1.377
entropy_ratio0.593
Top values (rank 1–20)
  1. 1 — 5,001
  2. 4 — 1,141
  3. 2 — 525
  4. 5 — 252
  5. 3 — 205

JPScalePGAC categorical

top value is 97.0% of rows
rows7,124
null0 (0.0%)
unique5
top_value1
top_rate0.970
cardinality5
entropy0.237
entropy_ratio0.102
Top values (rank 1–20)
  1. 1 — 6,910
  2. 4 — 118
  3. 2 — 75
  4. 5 — 15
  5. 3 — 6

LeastReached categorical

top value is 100.0% of rows
rows7,124
null0 (0.0%)
unique1
top_valueY
top_rate1.000
cardinality1
entropy-0.000
entropy_ratio0.000
Top values (rank 1–20)
  1. Y — 7,124

LeastReachedPC categorical

rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.723
cardinality2
entropy0.851
entropy_ratio0.851
Top values (rank 1–20)
  1. Y — 5,152
  2. N — 1,972

LeastReachedPGAC categorical

top value is 97.0% of rows
rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.970
cardinality2
entropy0.195
entropy_ratio0.195
Top values (rank 1–20)
  1. Y — 6,910
  2. N — 214

GSEC categorical

rows7,124
null0 (0.0%)
unique8
top_value
top_rate0.511
cardinality8
entropy1.605
entropy_ratio0.535
Top values (rank 1–20)
  1. — 3,639
  2. 1 — 2,767
  3. 4 — 186
  4. 0 — 176
  5. 2 — 139
  6. 3 — 100
  7. 6 — 62
  8. 5 — 55

HasAudioRecordings categorical

rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.869
cardinality2
entropy0.561
entropy_ratio0.561
Top values (rank 1–20)
  1. Y — 6,188
  2. N — 936

NTOnline categorical

22.4% null top value is 100.0% of rows
rows7,124
null1,596 (22.4%)
unique1
top_valueY
top_rate1.000
cardinality1
entropy-0.000
entropy_ratio0.000
Top values (rank 1–20)
  1. Y — 5,528

RLG3 numeric

10.6% rows beyond 1.5 IQR
rows7,124
null0 (0.0%)
unique7
min2.000
max9.000
mean5.270
median6.000
std1.279
q15.000
q36.000
iqr1.000
skew-0.455
kurtosis2.001
n_outliers757
outlier_rate0.106
zero_rate0.000

RLG3PC numeric

14.3% rows beyond 1.5 IQR
rows7,124
null0 (0.0%)
unique8
min1.000
max9.000
mean5.079
median5.000
std1.520
q15.000
q36.000
iqr1.000
skew-0.946
kurtosis1.703
n_outliers1,022
outlier_rate0.143
zero_rate0.000

RLG3PGAC numeric

10.9% rows beyond 1.5 IQR
rows7,124
null0 (0.0%)
unique8
min1.000
max9.000
mean5.272
median5.500
std1.296
q15.000
q36.000
iqr1.000
skew-0.464
kurtosis2.032
n_outliers776
outlier_rate0.109
zero_rate0.000

PrimaryReligion categorical

rows7,124
null0 (0.0%)
unique7
top_valueIslam
top_rate0.460
cardinality7
entropy1.920
entropy_ratio0.684
Top values (rank 1–20)
  1. Islam — 3,279
  2. Hinduism — 2,142
  3. Ethnic Religions — 933
  4. Buddhism — 480
  5. Unknown — 157
  6. Other / Small — 120
  7. Non-Religious — 13

PrimaryReligionPC categorical

rows7,124
null0 (0.0%)
unique8
top_valueIslam
top_rate0.436
cardinality8
entropy2.051
entropy_ratio0.684
Top values (rank 1–20)
  1. Islam — 3,105
  2. Hinduism — 2,296
  3. Ethnic Religions — 666
  4. Buddhism — 474
  5. Christianity — 332
  6. Unknown — 154
  7. Other / Small — 62
  8. Non-Religious — 35

PrimaryReligionPGAC categorical

rows7,124
null0 (0.0%)
unique8
top_valueIslam
top_rate0.456
cardinality8
entropy1.955
entropy_ratio0.652
Top values (rank 1–20)
  1. Islam — 3,247
  2. Hinduism — 2,154
  3. Ethnic Religions — 925
  4. Buddhism — 466
  5. Unknown — 162
  6. Other / Small — 131
  7. Non-Religious — 22
  8. Christianity — 17

RLG4 numeric

92.4% null 5.5% rows beyond 1.5 IQR
rows7,124
null6,582 (92.4%)
unique18
min10.000
max39.000
mean18.186
median20.000
std6.472
q114.000
q320.000
iqr6.000
skew1.051
kurtosis1.474
n_outliers30
outlier_rate0.055
zero_rate0.000

ReligionSubdivision categorical

92.4% null
rows7,124
null6,582 (92.4%)
unique18
top_valueSunni
top_rate0.295
cardinality18
entropy2.984
entropy_ratio0.716
Top values (rank 1–20)
  1. Sunni — 160
  2. Judaism — 120
  3. Sikhism — 68
  4. Tibetan — 58
  5. Theravada — 49
  6. Shia — 20
  7. Zoroastrianism — 11
  8. Jainism — 11
  9. Mahayana — 9
  10. Prakriti — 9
  11. Kirati — 8
  12. Mandaeism — 6
  13. Druze — 4
  14. Baha'i — 3
  15. Shia Imami Ismaili — 2
  16. Syncretized — 2
  17. Lingayat — 1
  18. Animism — 1

PCIslam numeric

rows7,124
null9 (0.1%)
unique902
min0.000
max100.000
mean45.223
median0.275
std48.219
q10.000
q399.990
iqr99.990
skew0.170
kurtosis-1.935
n_outliers0
outlier_rate0.000
zero_rate0.471

PCNonReligious numeric

skew=+9.11 12.5% rows beyond 1.5 IQR
rows7,124
null23 (0.3%)
unique152
min0.000
max99.000
mean1.016
median0.000
std4.549
q10.000
q30.000
iqr0.000
skew9.105
kurtosis125.350
n_outliers886
outlier_rate0.125
zero_rate0.875

PCUnknown numeric

skew=+6.45 7.2% rows beyond 1.5 IQR
rows7,124
null25 (0.4%)
unique388
min0.000
max100.000
mean2.280
median0.000
std14.591
q10.000
q30.000
iqr0.000
skew6.454
kurtosis39.852
n_outliers510
outlier_rate0.072
zero_rate0.928

SecurityLevel numeric

24.9% rows beyond 1.5 IQR
rows7,124
null0 (0.0%)
unique3
min0.000
max2.000
mean1.595
median2.000
std0.744
q12.000
q32.000
iqr0.000
skew-1.466
kurtosis0.405
n_outliers1,771
outlier_rate0.249
zero_rate0.156

LRTop100 categorical

top value is 98.6% of rows
rows7,124
null0 (0.0%)
unique2
top_valueN
top_rate0.986
cardinality2
entropy0.107
entropy_ratio0.107
Top values (rank 1–20)
  1. N — 7,024
  2. Y — 100

PhotoAddress text

100.0% rows are a single word 95th-percentile length under 20 chars 59.6% duplicate strings
rows7,124
null1 (0.0%)
unique2,880
len_min0
len_max13
len_mean7.260
len_median10.000
len_p9510.000
word_mean1.000
word_median1.000
n_empty1,970
n_duplicates4,243
duplicate_rate0.596
vocab_size2,879
readability_flesch_mean84.008
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. p10375.jpg
  2. p21768.jpg
  3. p14099.jpg
  4. p10812.jpg
  5. p16826.jpg
  6. p18274.jpg
  7. p17080.jpg
  9. p10949.jpg
  10. p13819.jpg

PhotoCredits categorical

463 singleton categories
rows7,124
null10 (0.1%)
unique851
top_value
top_rate0.277
cardinality851
entropy5.584
entropy_ratio0.574
Top values (rank 1–20)
  1. — 1,970
  2. Anonymous — 1,496
  3. Operation China, Asia Harvest — 263
  4. Isudas — 212
  5. Kate Nelson/AusAID - Wikimedia — 90
  6. manothegreek — 77
  7. Kerry Olson — 76
  8. Asia Harvest-Operation Myanmar — 69
  9. Steve Evans - Flickr — 62
  10. Final Sudan — 43
  11. Rod Waddington - Flickr — 42
  12. Peoples of Laos, Asia Harvest — 41
  13. COMIBAM / Sepal — 37
  14. Link Up Africa — 36
  15. CharlesFred - Flickr — 36
  16. Asia Harvest — 36
  17. Hamed Saber - Flickr — 36
  18. Peoples of the Buddhist World, Asia Harvest — 36
  19. N-Y-C - Pixabay — 34
  20. pxhere — 34

PhotoCreditURL categorical

465 singleton categories 36.0% null
rows7,124
null2,565 (36.0%)
unique774
top_value
top_rate0.432
cardinality774
entropy5.389
entropy_ratio0.562
Top values (rank 1–20)
  1. — 1,970
  2. https://www.asiaharvest.org — 443
  3. https://tinyurl.com/89ffm33y — 90
  4. https://www.pesquisas.org.br/ — 37
  5. https://flickr.com/photos/44124425616@N01/424972149/ — 36
  6. https://pixabay.com/photos/fashion-asian-japanese-chinese-4257900/ — 34
  7. https://pxhere.com/en/photo/637533 — 34
  8. https://www.newcovenantmissions.org — 31
  9. https://www.createinternational.com — 30
  10. https://pixabay.com/photos/person-face-people-portrait-smile-5039573/ — 27
  11. https://www.globalROAR.org — 26
  12. https://pixabay.com/photos/bread-marrakesh-food-morocco-1166272/ — 25
  13. https://pixabay.com/photos/pakistani-model-boy-model-pakistan-3770152/ — 24
  14. https://commons.wikimedia.org/wiki/File:Sudanese_arab_from_manasir_tribe.jpg — 23
  15. https://pixabay.com/photos/refugee-afghan-forest-geocaching-1189087/ — 21
  16. https://flickr.com/photos/91418149@N03/14204194758 — 20
  17. https://pixabay.com/pl/photos/m%c4%99%c5%bcczy%c5%bani-turban-portret-facet-2146800/ — 19
  18. https://commons.wikimedia.org/wiki/File:Algerian_man_with_turban.jpg — 18
  19. https://commons.wikimedia.org/wiki/File:Iraqi_man_on_Baghdad_street.jpg — 18
  20. https://flickr.com/photos/rosluc6460/3260871722 — 18

PhotoCreativeCommons categorical

rows7,124
null5 (0.1%)
unique2
top_valueN
top_rate0.798
cardinality2
entropy0.726
entropy_ratio0.726
Top values (rank 1–20)
  1. N — 5,682
  2. Y — 1,437

PhotoCopyright categorical

rows7,124
null12 (0.2%)
unique2
top_valueN
top_rate0.806
cardinality2
entropy0.709
entropy_ratio0.709
Top values (rank 1–20)
  1. N — 5,735
  2. Y — 1,377

PhotoPermission categorical

rows7,124
null14 (0.2%)
unique3
top_valueN
top_rate0.804
cardinality3
entropy0.717
entropy_ratio0.453
Top values (rank 1–20)
  1. N — 5,715
  2. Y — 1,393
  3. y — 2

ProfileTextExists categorical

top value is 96.7% of rows
rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.967
cardinality2
entropy0.210
entropy_ratio0.210
Top values (rank 1–20)
  1. Y — 6,888
  2. N — 236

CountOfCountries numeric

skew=+5.67 17.0% rows beyond 1.5 IQR
rows7,124
null0 (0.0%)
unique39
min1.000
max164.000
mean8.108
median2.000
std24.272
q11.000
q34.000
iqr3.000
skew5.672
kurtosis33.167
n_outliers1,210
outlier_rate0.170
zero_rate0.000

CountOfProvinces unknown

no profiler for kind=unknown
rows7,124
null0 (0.0%)

Longitude numeric

rows7,124
null0 (0.0%)
unique6,713
min-173.084
max178.437
mean62.801
median75.230
std44.791
q140.810
q388.222
iqr47.412
skew-1.402
kurtosis2.859
n_outliers316
outlier_rate0.044
zero_rate0.000

Latitude numeric

rows7,124
null0 (0.0%)
unique6,696
min-42.609
max71.838
mean23.544
median25.022
std14.923
q115.554
q331.610
iqr16.055
skew-0.702
kurtosis2.141
n_outliers292
outlier_rate0.041
zero_rate0.000

Ctry categorical

rows7,124
null0 (0.0%)
unique202
top_valueIndia
top_rate0.285
cardinality202
entropy5.058
entropy_ratio0.661
Top values (rank 1–20)
  1. India — 2,032
  2. Pakistan — 767
  3. China — 442
  4. Bangladesh — 256
  5. Indonesia — 234
  6. Nepal — 184
  7. Sudan — 168
  8. Laos — 142
  9. Russia — 115
  10. United States — 90
  11. Iran — 85
  12. Chad — 81
  13. Malaysia — 78
  14. Thailand — 73
  15. Vietnam — 69
  16. Türkiye (Turkey) — 61
  17. Myanmar (Burma) — 59
  18. Afghanistan — 58
  19. Sri Lanka — 55
  20. Canada — 52

IndigenousCode categorical

rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.794
cardinality2
entropy0.734
entropy_ratio0.734
Top values (rank 1–20)
  1. Y — 5,657
  2. N — 1,467

PercentAdherents categorical

467 singleton categories
rows7,124
null0 (0.0%)
unique692
top_value0.000
top_rate0.562
cardinality692
entropy4.046
entropy_ratio0.429
Top values (rank 1–20)
  1. 0.000 — 4,007
  2. 1.000 — 285
  3. 2.000 — 224
  4. 3.000 — 166
  5. 0.500 — 159
  6. 5.000 — 137
  7. 4.000 — 129
  8. 0.200 — 96
  9. 0.100 — 88
  10. 0.300 — 77
  11. 0.010 — 59
  12. 1.500 — 54
  13. 0.050 — 52
  14. 0.400 — 47
  15. 0.020 — 33
  16. 1.200 — 30
  17. 0.600 — 29
  18. 0.009 — 25
  19. 0.800 — 24
  20. 0.090 — 22

PercentChristianPC categorical

rows7,124
null0 (0.0%)
unique184
top_value0.482
top_rate0.122
cardinality184
entropy5.934
entropy_ratio0.789
Top values (rank 1–20)
  1. 0.482 — 869
  2. 0.111 — 586
  3. 0.000 — 374
  4. 0.508 — 352
  5. 8.571 — 311
  6. 0.004 — 293
  7. 5.023 — 169
  8. 5.345 — 167
  9. 3.733 — 151
  10. 1.552 — 128
  11. 0.008 — 127
  12. 5.482 — 114
  13. 27.052 — 111
  14. 0.005 — 105
  15. 1.495 — 90
  16. 6.327 — 87
  17. 0.731 — 86
  18. 0.003 — 81
  19. 0.001 — 79
  20. 0.030 — 77

NaturalName text

48.8% rows are a single word 34.0% duplicate strings
rows7,124
null0 (0.0%)
unique4,705
len_min1
len_max39
len_mean11.843
len_median10.000
len_p9527.000
word_mean1.723
word_median2.000
n_empty0
n_duplicates2,419
duplicate_rate0.340
vocab_size4,343
readability_flesch_mean56.420
emoji_rate0.000
url_rate0.000
one_word_rate0.488
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Arab
  2. Mansoori
  3. Pa'a
  4. Biafada
  5. Ghosi (Hindu traditions)
  6. Turk
  7. Kandu
  8. Tulai
  9. Nigerian Fulani
  10. Moroccan Arab

NaturalPronunciation text

72.7% rows are a single word 48.5% null 59.4% duplicate strings
rows7,124
null3,452 (48.5%)
unique1,489
len_min2
len_max42
len_mean10.773
len_median10.000
len_p9521.000
word_mean1.281
word_median1.000
n_empty0
n_duplicates2,183
duplicate_rate0.594
vocab_size1,537
readability_flesch_mean69.929
emoji_rate0.000
url_rate0.000
one_word_rate0.727
allcaps_rate5.45e-04
boilerplate_rate0.000
Sample values (first 10)
  1. gulf AE-rub
  2. pahsh-TOON yooz-ahf-SYE
  3. KOO-kong
  4. zah-RAH-moh
  5. nay-PAH-lee
  6. def
  7. pahsh-TOON
  8. uh-ZARE-ee
  9. woh-row-doo-GOO
  10. ee-ZAR-ghee-en BUR-bur

PercentChristianPGAC categorical

rows7,124
null5 (0.1%)
unique842
top_value0.000
top_rate0.438
cardinality842
entropy5.681
entropy_ratio0.585
Top values (rank 1–20)
  1. 0.000 — 3,121
  2. 3.733 — 151
  3. 1.000 — 87
  4. 2.000 — 79
  5. 0.001 — 75
  6. 0.006 — 69
  7. 5.000 — 65
  8. 3.000 — 59
  9. 0.010 — 55
  10. 4.000 — 55
  11. 0.500 — 50
  12. 0.002 — 46
  13. 0.005 — 45
  14. 0.030 — 45
  15. 0.049 — 44
  16. 0.100 — 39
  17. 0.200 — 37
  18. 1.592 — 37
  19. 0.009 — 36
  20. 1.771 — 36

PercentEvangelical categorical

256 singleton categories
rows7,124
null741 (10.4%)
unique401
top_value0.000
top_rate0.657
cardinality401
entropy3.146
entropy_ratio0.364
Top values (rank 1–20)
  1. 0.000 — 4,195
  2. 0.100 — 171
  3. 0.200 — 154
  4. 0.500 — 135
  5. 1.000 — 133
  6. 0.300 — 108
  7. 2.000 — 92
  8. 0.400 — 71
  9. 0.050 — 60
  10. 0.010 — 60
  11. 0.800 — 46
  12. 1.500 — 40
  13. 0.900 — 38
  14. 0.600 — 35
  15. 0.030 — 32
  16. 0.700 — 29
  17. 0.020 — 27
  18. 0.080 — 25
  19. 0.001 — 25
  20. 0.006 — 24

PercentEvangelicalPC categorical

rows7,124
null153 (2.1%)
unique166
top_value0.199
top_rate0.125
cardinality166
entropy5.777
entropy_ratio0.783
Top values (rank 1–20)
  1. 0.199 — 869
  2. 0.095 — 586
  3. 0.000 — 441
  4. 0.247 — 352
  5. 0.004 — 315
  6. 3.409 — 311
  7. 3.339 — 169
  8. 2.656 — 167
  9. 0.003 — 151
  10. 0.001 — 131
  11. 0.866 — 128
  12. 1.699 — 114
  13. 0.472 — 111
  14. 0.028 — 96
  15. 1.315 — 90
  16. 1.509 — 87
  17. 0.439 — 86
  18. 0.036 — 78
  19. 0.012 — 77
  20. 0.197 — 76

PercentEvangelicalPGAC categorical

rows7,124
null450 (6.3%)
unique548
top_value0.000
top_rate0.489
cardinality548
entropy4.972
entropy_ratio0.546
Top values (rank 1–20)
  1. 0.000 — 3,264
  2. 1.801 — 151
  3. 0.002 — 98
  4. 0.001 — 93
  5. 0.006 — 68
  6. 0.004 — 66
  7. 1.000 — 59
  8. 0.016 — 58
  9. 0.200 — 42
  10. 0.010 — 42
  11. 0.100 — 41
  12. 0.005 — 41
  13. 0.049 — 40
  14. 0.500 — 37
  15. 0.104 — 37
  16. 0.074 — 36
  17. 2.000 — 36
  18. 1.543 — 36
  19. 0.007 — 35
  20. 0.003 — 34

PCBuddhism numeric

skew=+3.48 17.0% rows beyond 1.5 IQR
rows7,124
null24 (0.3%)
unique809
min0.000
max100.000
mean6.411
median0.000
std22.391
q10.000
q30.000
iqr0.000
skew3.475
kurtosis10.559
n_outliers1,208
outlier_rate0.170
zero_rate0.830

PCEthnicReligions numeric

skew=+2.16 22.0% rows beyond 1.5 IQR
rows7,124
null18 (0.3%)
unique351
min0.000
max100.000
mean13.109
median0.000
std30.744
q10.000
q30.000
iqr0.000
skew2.155
kurtosis2.885
n_outliers1,560
outlier_rate0.220
zero_rate0.780

PCHinduism numeric

rows7,124
null24 (0.3%)
unique1,131
min0.000
max100.000
mean29.820
median0.000
std44.980
q10.000
q398.417
iqr98.417
skew0.872
kurtosis-1.216
n_outliers0
outlier_rate0.000
zero_rate0.677

PCOtherSmall numeric

skew=+7.39 12.0% rows beyond 1.5 IQR
rows7,124
null24 (0.3%)
unique670
min0.000
max100.000
mean1.836
median0.000
std12.334
q10.000
q30.000
iqr0.000
skew7.390
kurtosis54.182
n_outliers851
outlier_rate0.120
zero_rate0.880

RegionCode numeric

8.4% rows beyond 1.5 IQR
rows7,124
null0 (0.0%)
unique12
min1.000
max12.000
mean5.005
median4.000
std2.457
q14.000
q36.000
iqr2.000
skew1.122
kurtosis0.578
n_outliers601
outlier_rate0.084
zero_rate0.000

PopulationPGAC numeric

skew=+25.48 17.8% rows beyond 1.5 IQR
rows7,124
null5 (0.1%)
unique1,509
min10.000
max925,129,800
mean4,880,604
median130,300
std20,949,338
q120,000
q31,434,600
iqr1,414,600
skew25.485
kurtosis1,052
n_outliers1,264
outlier_rate0.178
zero_rate0.000

Frontier categorical

rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.669
cardinality2
entropy0.916
entropy_ratio0.916
Top values (rank 1–20)
  1. Y — 4,767
  2. N — 2,357

MapAddress text

100.0% rows are a single word 95th-percentile length under 20 chars 35.2% duplicate strings
rows7,124
null0 (0.0%)
unique4,616
len_min0
len_max13
len_mean8.649
len_median10.000
len_p9513.000
word_mean1.000
word_median1.000
n_empty1,500
n_duplicates2,508
duplicate_rate0.352
vocab_size4,615
readability_flesch_mean17.622
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. m10375.png
  2. m21769.png
  3. m14244_ni.png
  4. m10824_pu.png
  5. m16828.png
  7. m17080.png
  9. m10949_cm.png
  10. m13819_no.png

HasJesusFilm categorical

rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.787
cardinality2
entropy0.746
entropy_ratio0.746
Top values (rank 1–20)
  1. Y — 5,610
  2. N — 1,514

Nomadic categorical

top value is 96.6% of rows
rows7,124
null0 (0.0%)
unique2
top_valueN
top_rate0.966
cardinality2
entropy0.213
entropy_ratio0.213
Top values (rank 1–20)
  1. N — 6,884
  2. Y — 240

NomadicTypeDescription categorical

96.6% null
rows7,124
null6,884 (96.6%)
unique6
top_valueAgro-Pastoralists
top_rate0.767
cardinality6
entropy1.159
entropy_ratio0.448
Top values (rank 1–20)
  1. Agro-Pastoralists — 184
  2. Service or Trade — 30
  3. Agro-Pastoralists, Service or Trade — 16
  4. Hunter-Gatherers — 8
  5. Agro-Pastoralists, Hunter-Gatherers — 1
  6. Service or Trade, Hunter-Gatherers — 1

PhotoCCVersionText categorical

rows7,124
null0 (0.0%)
unique16
top_value
top_rate0.798
cardinality16
entropy1.323
entropy_ratio0.331
Top values (rank 1–20)
  1. — 5,688
  2. CC BY 2.0 — 387
  3. CC BY-SA 4.0 — 246
  4. CC BY-SA 2.0 — 193
  5. CC BY-NC-SA 2.0 — 151
  6. CC BY-SA 3.0 — 143
  7. CC0 1.0 — 127
  8. CC BY-NC 2.0 — 111
  9. CC BY 3.0 — 27
  10. CC BY-NC-ND 2.0 — 18
  11. CC BY 4.0 — 14
  12. CC SA 1.0 — 7
  13. CC BY-ND 2.0 — 5
  14. CC BY 3.0 BR — 4
  15. CC BY-SA 2.5 — 2
  16. CC BY-NC-SA 4.0 — 1

PhotoCCVersionURL categorical

rows7,124
null0 (0.0%)
unique16
top_value
top_rate0.798
cardinality16
entropy1.323
entropy_ratio0.331
Top values (rank 1–20)
  1. — 5,688
  2. https://creativecommons.org/licenses/by/2.0/ — 387
  3. https://creativecommons.org/licenses/by-sa/4.0/ — 246
  4. https://creativecommons.org/licenses/by-sa/2.0/ — 193
  5. https://creativecommons.org/licenses/by-nc-sa/2.0/ — 151
  6. https://creativecommons.org/licenses/by-sa/3.0/ — 143
  7. https://creativecommons.org/publicdomain/zero/1.0/ — 127
  8. https://creativecommons.org/licenses/by-nc/2.0/ — 111
  9. https://creativecommons.org/licenses/by/3.0/ — 27
  10. https://creativecommons.org/licenses/by-nc-nd/2.0/ — 18
  11. https://creativecommons.org/licenses/by/4.0/ — 14
  12. https://creativecommons.org/licenses/by-sa/1.0/ — 7
  13. https://creativecommons.org/licenses/by-nd/2.0/ — 5
  14. https://creativecommons.org/licenses/by/3.0/br/deed.en — 4
  15. https://creativecommons.org/licenses/by-sa/2.5/ — 2
  16. https://creativecommons.org/licenses/by-nc-sa/4.0 — 1

MapCredits categorical

99 singleton categories
rows7,124
null0 (0.0%)
unique161
top_valuePeople Group data: Omid. Map geography: UNESCO / GMI. Map Design: Joshua Project
top_rate0.280
cardinality161
entropy3.318
entropy_ratio0.453
Top values (rank 1–20)
  1. People Group data: Omid. Map geography: UNESCO / GMI. Map Design: Joshua Project — 1,995
  2. — 1,505
  3. Location: IMB. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 808
  4. People Group data: Omid. Map geography: UNESCO / GMI. Map Design: Joshua Project. — 755
  5. People Group Location: Omid. Other geography / data: GMI. Map Design: Joshua Project — 583
  6. Bethany World Prayer Center — 408
  7. Joshua Project / Global Mapping International — 335
  8. Bryan Nicholson / cartoMission — 100
  9. Location: SIL / WLMS. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 77
  10. Anonymous — 70
  11. Location: WLMS. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 47
  12. NCRP — 44
  13. Location: Web research. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 31
  14. Asia Harvest-Operation Myanmar — 26
  15. Location: World Jewish Congress, Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 26
  16. Location: Joshua Project. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 23
  17. Southeast Asia Link - SEALINK — 21
  18. Location: Ethnologue. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 18
  19. Location: Asia Harvest. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 10
  20. Peoples of the Red Book — 8

MapCreditURL categorical

19 singleton categories top value is 97.1% of rows
rows7,124
null0 (0.0%)
unique31
top_value
top_rate0.971
cardinality31
entropy0.270
entropy_ratio0.054
Top values (rank 1–20)
  1. — 6,919
  2. https://www.cartomission.com — 100
  3. https://www.asiaharvest.org — 28
  4. https://www.worldjewishcongress.org/ — 26
  5. https://www.eki.ee/books/redbook/introduction.shtml — 8
  6. https://commons.wikimedia.org/wiki/File:Maeneo_penye_wasemaji_wa_Kiswahili.png — 7
  7. https://www.npolar.no/ansipra/english/Indexpages/Map_index.html — 5
  8. https://www.face-music.ch/bi_bid/trad_costumes_en.html — 3
  9. https://thekurds.net/ — 3
  10. https://www.cartpioneers.org/products/Peoples-of-Yemen-Prayer-Guide.html — 2
  11. http://lingvarium.org/ — 2
  12. https://www.westmelanesia.com/ — 2
  13. https://www.lib.utexas.edu/maps/africa/libya_ethnic_1974.jpg — 1
  14. https://commons.wikimedia.org/wiki/File:Libya_ethnic.svg — 1
  15. https://www.ssb.no/en/statbank/table/09817/tableViewLayout1/ — 1
  16. https://commons.wikimedia.org/wiki/File:Alawites_in_the_Levant.jpg — 1
  17. https://zolimacitymag.com/keeping-hakka-culture-alive-the-story-of-hong-kongs-mountain-pioneers/ — 1
  18. https://www.cia.gov/the-world-factbook/countries/china/map/ — 1
  19. https://commons.wikimedia.org/wiki/File:Albanians_in_Kosovo_2011_census.GIF — 1
  20. https://www.refworld.org/docid/4a8414f5c.html — 1

MapCopyright categorical

rows7,124
null0 (0.0%)
unique3
top_valueN
top_rate0.730
cardinality3
entropy0.883
entropy_ratio0.557
Top values (rank 1–20)
  1. N — 5,197
  2. — 1,885
  3. Y — 42

MapCCVersionText categorical

top value is 99.9% of rows
rows7,124
null0 (0.0%)
unique4
top_value
top_rate0.999
cardinality4
entropy0.017
entropy_ratio8.31e-03
Top values (rank 1–20)
  1. — 7,114
  2. CC BY-SA 3.0 — 8
  3. CC0 1.0 — 1
  4. CC BY 3.0 — 1

MapCCVersionURL categorical

top value is 99.9% of rows
rows7,124
null0 (0.0%)
unique4
top_value
top_rate0.999
cardinality4
entropy0.017
entropy_ratio8.31e-03
Top values (rank 1–20)
  1. — 7,114
  2. https://creativecommons.org/licenses/by-sa/3.0/ — 8
  3. https://creativecommons.org/publicdomain/zero/1.0/ — 1
  4. https://creativecommons.org/licenses/by/3.0/ — 1

JF categorical

rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.787
cardinality2
entropy0.746
entropy_ratio0.746
Top values (rank 1–20)
  1. Y — 5,610
  2. N — 1,514

AudioRecordings categorical

rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.869
cardinality2
entropy0.561
entropy_ratio0.561
Top values (rank 1–20)
  1. Y — 6,188
  2. N — 936

Window1040 categorical

rows7,124
null0 (0.0%)
unique2
top_valueY
top_rate0.830
cardinality2
entropy0.659
entropy_ratio0.659
Top values (rank 1–20)
  1. Y — 5,910
  2. N — 1,214

PeopleGroupMapURL text

100.0% rows are a single word 78.9% rows contain a URL 35.2% duplicate strings
rows7,124
null0 (0.0%)
unique4,616
len_min0
len_max66
len_mean50.489
len_median63.000
len_p9566.000
word_mean1.000
word_median1.000
n_empty1,500
n_duplicates2,508
duplicate_rate0.352
vocab_size4,615
readability_flesch_mean-568.656
emoji_rate0.000
url_rate0.789
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. https://joshuaproject.net/assets/media/profiles/maps/m10375.png
  2. https://joshuaproject.net/assets/media/profiles/maps/m21769.png
  3. https://joshuaproject.net/assets/media/profiles/maps/m14244_ni.png
  4. https://joshuaproject.net/assets/media/profiles/maps/m10824_pu.png
  5. https://joshuaproject.net/assets/media/profiles/maps/m16828.png
  7. https://joshuaproject.net/assets/media/profiles/maps/m17080.png
  9. https://joshuaproject.net/assets/media/profiles/maps/m10949_cm.png
  10. https://joshuaproject.net/assets/media/profiles/maps/m13819_no.png

PeopleGroupMapExpandedURL text

100.0% rows are a single word 72.3% rows contain a URL 39.2% duplicate strings
rows7,124
null0 (0.0%)
unique4,331
len_min0
len_max66
len_mean46.196
len_median63.000
len_p9566.000
word_mean1.000
word_median1.000
n_empty1,975
n_duplicates2,793
duplicate_rate0.392
vocab_size4,330
readability_flesch_mean-468.910
emoji_rate0.000
url_rate0.723
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. https://joshuaproject.net/assets/media/profiles/maps/m10375.pdf
  2. https://joshuaproject.net/assets/media/profiles/maps/m21769.pdf
  3. https://joshuaproject.net/assets/media/profiles/maps/m14244_ni.pdf
  5. https://joshuaproject.net/assets/media/profiles/maps/m16828.pdf
  7. https://joshuaproject.net/assets/media/profiles/maps/m17080.pdf
  9. https://joshuaproject.net/assets/media/profiles/maps/m10949_cm.pdf
  10. https://joshuaproject.net/assets/media/profiles/maps/m13819_no.pdf

PeopleGroupURL text

100.0% of rows are unique strings 100.0% rows are a single word 100.0% rows contain a URL
rows7,124
null0 (0.0%)
unique7,124
len_min48
len_max48
len_mean48.000
len_median48.000
len_p9548.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates0
duplicate_rate0.000
vocab_size7,124
readability_flesch_mean-479.863
emoji_rate0.000
url_rate1.000
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. https://joshuaproject.net/people_groups/10375/CE
  2. https://joshuaproject.net/people_groups/21769/IN
  3. https://joshuaproject.net/people_groups/14244/NI
  4. https://joshuaproject.net/people_groups/10824/PU
  5. https://joshuaproject.net/people_groups/16828/IN
  6. https://joshuaproject.net/people_groups/18274/LY
  7. https://joshuaproject.net/people_groups/17080/NP
  8. https://joshuaproject.net/people_groups/22370/NI
  9. https://joshuaproject.net/people_groups/10949/CM
  10. https://joshuaproject.net/people_groups/13819/NO

PeopleGroupPhotoURL text

100.0% rows are a single word 72.3% rows contain a URL 59.6% duplicate strings
rows7,124
null0 (0.0%)
unique2,880
len_min0
len_max68
len_mean47.042
len_median65.000
len_p9565.000
word_mean1.000
word_median1.000
n_empty1,971
n_duplicates4,244
duplicate_rate0.596
vocab_size2,879
readability_flesch_mean-604.282
emoji_rate0.000
url_rate0.723
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. https://joshuaproject.net/assets/media/profiles/photos/p10375.jpg
  2. https://joshuaproject.net/assets/media/profiles/photos/p21769.jpg
  3. https://joshuaproject.net/assets/media/profiles/photos/p14244.jpg
  4. https://joshuaproject.net/assets/media/profiles/photos/p10824.jpg
  5. https://joshuaproject.net/assets/media/profiles/photos/p16828.jpg
  6. https://joshuaproject.net/assets/media/profiles/photos/p18274.jpg
  7. https://joshuaproject.net/assets/media/profiles/photos/p17080.jpg
  9. https://joshuaproject.net/assets/media/profiles/photos/p10949.jpg
  10. https://joshuaproject.net/assets/media/profiles/photos/p13819.jpg

CountryURL categorical

rows7,124
null0 (0.0%)
unique202
top_valuehttps://joshuaproject.net/countries/IN
top_rate0.285
cardinality202
entropy5.058
entropy_ratio0.661
Top values (rank 1–20)
  1. https://joshuaproject.net/countries/IN — 2,032
  2. https://joshuaproject.net/countries/PK — 767
  3. https://joshuaproject.net/countries/CH — 442
  4. https://joshuaproject.net/countries/BG — 256
  5. https://joshuaproject.net/countries/ID — 234
  6. https://joshuaproject.net/countries/NP — 184
  7. https://joshuaproject.net/countries/SU — 168
  8. https://joshuaproject.net/countries/LA — 142
  9. https://joshuaproject.net/countries/RS — 115
  10. https://joshuaproject.net/countries/US — 90
  11. https://joshuaproject.net/countries/IR — 85
  12. https://joshuaproject.net/countries/CD — 81
  13. https://joshuaproject.net/countries/MY — 78
  14. https://joshuaproject.net/countries/TH — 73
  15. https://joshuaproject.net/countries/VM — 69
  16. https://joshuaproject.net/countries/TU — 61
  17. https://joshuaproject.net/countries/BM — 59
  18. https://joshuaproject.net/countries/AF — 58
  19. https://joshuaproject.net/countries/CE — 55
  20. https://joshuaproject.net/countries/CA — 52

JPScaleText categorical

top value is 100.0% of rows
rows7,124
null0 (0.0%)
unique1
top_valueUnreached
top_rate1.000
cardinality1
entropy-0.000
entropy_ratio0.000
Top values (rank 1–20)
  1. Unreached — 7,124

JPScaleImageURL categorical

top value is 100.0% of rows
rows7,124
null0 (0.0%)
unique1
top_valuehttps://joshuaproject.net/assets/img/gauge/gauge-1.png
top_rate1.000
cardinality1
entropy-0.000
entropy_ratio0.000
Top values (rank 1–20)
  1. https://joshuaproject.net/assets/img/gauge/gauge-1.png — 7,124

Summary text

44.5% rows are a single word 48.3% duplicate strings
rows7,124
null0 (0.0%)
unique3,685
len_min0
len_max1,212
len_mean309.701
len_median316.000
len_p95793.000
word_mean51.259
word_median52.000
n_empty3,167
n_duplicates3,439
duplicate_rate0.483
vocab_size24,501
readability_flesch_mean30.397
emoji_rate0.000
url_rate0.000
one_word_rate0.445
allcaps_rate0.000
boilerplate_rate2.81e-04
Sample values (first 10)
  2. The traditional work of the Mansoori Muslim has been making fabric from cotton. With the development of modern fabric factories, this profession has steeply declined. Many Mansoori are now working in agriculture, in business and in the professions. With the help of the Indian edu…
  3. Pa'a boys are initiated into manhood between the ages of nine and eleven. Afterwards, they are taken to a shrine in the forest to be circumcised by the priest. They are taken to spend the night in the priest's house. The dodo, a masked image that represents a family ancestor, com…
  4. Like most of the people in West Africa, the Biafada are farmers and raise livestock. The Biafada language does not yet have any scripture at all. The people are open to hearing God's Word, yet there are many obstacles to overcome. This language group lives within the enemy's stro…
  5. The Ghosi name comes from the Sanskrit word ghush, which means “to shout.” The reason for this is that the Ghosi are herdsmen who are noted for shouting as they herd their cattle. The raising of cattle for their milk has been the traditional work of the Ghosi for centuries, and t…
  7. The Kandu live in India, Nepal and Bangladesh. There are no known Christian churches among them. Very few, if any, Kandu believers live in Nepal. Indeed, there are few Christians who live anywhere near them.
  9. The Fulani are grouped according to location, occupation and dialect. Some of the Fulani travel with their herds, others are settled, and some mix herding with farming. Since all Fulani speak a Fulfulde dialect, this suggests that they adopted the language of the people they once…
  10. Most of the Moroccan Arabs in Europe are centered around urban centers and often have to work in low paying jobs. Many of their traditions are being lost. In Norway, many of the differences have made some elements of their lives difficult.

Obstacles text

44.5% rows are a single word 48.9% duplicate strings
rows7,124
null0 (0.0%)
unique3,641
len_min0
len_max726
len_mean106.863
len_median95.000
len_p95317.000
word_mean18.369
word_median16.000
n_empty3,167
n_duplicates3,483
duplicate_rate0.489
vocab_size9,760
readability_flesch_mean31.624
emoji_rate0.000
url_rate0.000
one_word_rate0.445
allcaps_rate0.000
boilerplate_rate9.83e-04
Sample values (first 10)
  2. The Mansoori Muslims live in the west Indian state of Gujarat concentrated in the city of Ahmedabad. The gospel presence is very weak in this part of India. It will take outsiders to establish the church among the Mansooris.
  3. There is much animosity between Christians and Muslims in Nigeria that can interfere with gospel outreach.
  4. Spiritual opposition can be expected whenever Jesus Christ is presented. Pray this will be overcome and the people will find freedom to understand and believe.
  5. The Ghosi live mainly in parts of India with few Christian believers. Few will ever meet someone who lives the abundant life offered by Jesus Christ.
  7. The Kandu of Nepal and the larger population of Kandu who live in northeast India are considered unreached. They are almost all Hindus and have been so for hundreds of years. If Christian workers came to live among them, they would be considered outsiders and foreigners. It would…
  9. There is much conflict between settled Christian and Muslim nomadic herders like the Nigerian Fulani. This brings an extra layer of resistance to the gospel.
  10. Maintaining their identity while being surrounded by European culture is very important to many Moroccan Arabs. This can limit openness to the gospel.

HowReach text

54.5% rows are a single word 60.0% duplicate strings
rows7,124
null0 (0.0%)
unique2,853
len_min0
len_max599
len_mean80.821
len_median0.000
len_p95260.000
word_mean14.081
word_median1.000
n_empty3,883
n_duplicates4,271
duplicate_rate0.600
vocab_size7,803
readability_flesch_mean27.337
emoji_rate0.000
url_rate0.000
one_word_rate0.545
allcaps_rate0.000
boilerplate_rate2.81e-04
Sample values (first 10)
  2. Gujarati is their main language. Many also speak Urdu which allows them to communicate with most India peoples. Between these two languages, there are all kinds of gospel materials they can read, hear or see.
  4. There are a number of Christians in Guinea-Bissau. Pray that the Lord will lead some of these to befriend the Biafada people, and share Christ with them. Pray for boldness to do this, with tact.
  9. Settled Christian farmers in Cameroon can reach out to the Fulani through hospitality and kindness, potentially opening the way for dialogue.
  10. On the other hand, some Moroccan Arabs want contact with the Norwegian population. Christian believers can interact with them, sharing the blessings of Jesus Christ.

PrayForChurch text

70.6% rows are a single word 76.0% duplicate strings
rows7,124
null0 (0.0%)
unique1,713
len_min0
len_max649
len_mean59.634
len_median0.000
len_p95286.000
word_mean11.194
word_median1.000
n_empty5,032
n_duplicates5,411
duplicate_rate0.760
vocab_size4,447
readability_flesch_mean19.497
emoji_rate0.000
url_rate0.000
one_word_rate0.706
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  2. Pray for God to bless every Mansoori community economically and spiritually as a testimony of his goodness and power. Pray for the followers of Christ that will soon develop within the Mansoori community, that the Lord will provide pastors and teachers for them, and for them to …
  4. There is mention of a few followers of Jesus among the Biafada in Guinea-Bissau. Pray they will reach out to their neighbors with the gospel and that they will seek encouragement in growing in the knowledge of Christ.
  10. Moroccan believers in Europe can be Christ's ambassadors to these Muslims.

PrayForPG text

47.8% rows are a single word 51.7% duplicate strings
rows7,124
null0 (0.0%)
unique3,441
len_min0
len_max937
len_mean163.069
len_median120.000
len_p95453.850
word_mean28.230
word_median20.000
n_empty3,405
n_duplicates3,683
duplicate_rate0.517
vocab_size9,291
readability_flesch_mean32.722
emoji_rate0.000
url_rate0.000
one_word_rate0.478
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  3. Pray for God to bring peace between Christians and Muslims in Nigeria. Pray for the Lord to meet the physical and spiritual needs of the Pa'a, and that they will respond with gratitude and faith. Pray for the Lord to send dreams and visions to Pa'a leaders so they will open the…
  4. Pray the Biafada tribe will increasingly be drawn to Jesus (whom Muslims call Isa al-Masih) as they hear the Koran read in the mosque. Pray they will be given much curiosity to find out more about this man who is so much more than an honored prophet.
  5. Pray that the council leaders will put their faith in Jesus and lead others into a movement to Christ. Pray that gospel materials will lead them to salvation. Pray for faithful intercessors and workers. All kinds of gospel materials exist in the Hindi language, spoken by the G…
  7. Pray the Holy Spirit would create a spiritual hunger for God and his truth among the Kandu of Nepal. Pray that soon there will be a movement to Christ among the Kandu in Nepal. Pray the Lord would grant wisdom, safety and endurance to the workers who are now sharing the gospel …
  9. In the 2020s, there have been thousands of Fulani professing Christ. Pray for them to become His ambassadors throughout West Africa. Pray for the Lord to provide the Nigerian Fulani with abundant rain for their cattle as a testimony of his love and power. Pray for Nigerian Fulani…
  10. Pray for a church planting movement among the speakers of Moroccan Arabic in Norway to grow and spread. Pray they would hear and follow the words of Jesus.

Resources unknown

no profiler for kind=unknown
rows7,124
null0 (0.0%)

country_data unknown

no profiler for kind=unknown
rows7,124
null0 (0.0%)

language_data unknown

no profiler for kind=unknown
rows7,124
null0 (0.0%)