saturn

/home/coolhand/html/datavis/data_trove/joshua-project/joshua_project_enriched.parquet 16,382 rows sample n=16,382 seed 42 2026-05-01T18:37:42+00:00

Overview

Source/home/coolhand/html/datavis/data_trove/joshua-project/joshua_project_enriched.parquet
Total rows16,382
Profiled sample16,382
Columns109
Generated2026-05-01T18:37:42+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_011CacLMYeSB9hL2PxYKDbiK'}
  • 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_011CacLMZAgycQWapG44vDEC'}
  • 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_011CacLMa4m14azZjrjJmDHu'}
  • 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_011CacLMaaGnvjrLyzW1pANN'}
  • 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_011CacLMb6XU3ZqzeThY2QxD'}
  • 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_011CacLMm72eVdGQRxaj5hLn'}
  • 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_011CacLMmrfyKckyWKDHTfbZ'}
  • 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_011CacLMnQAuiX814J6vWc4c'}
  • 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_011CacLMnuvsYsQVz1XoJbtA'}
  • 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_011CacLMoSBM7N8AsH6woTv4'}
  • 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_011CacLMp6cTY1JeGVoUN2Av'}
  • 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_011CacLMpYQFBecnycKKHGwW'}
  • 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_011CacLMpywiu68T8VCagzRn'}
  • 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_011CacLMqXC97U6ShfXRoHdJ'}
  • 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_011CacLMr1TfrTwEfu6TUiQV'}
  • 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_011CacLMrXDYVdD83EmWUqUQ'}
  • 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_011CacLMs3E1tNWJFbDUKWvf'}
  • 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_011CacLMsegNt4qdro1xvo8c'}
  • 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_011CacLMt9wejV4jhWwNwaGB'}
  • 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_011CacLMtcUaY8JAX1yC7qTn'}
  • 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_011CacLMu4GFm5tmziSQQC3n'}
  • 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_011CacLMuYY7ZD6UmTKHtvvK'}
  • 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_011CacLMv7mDVZUK4SKDm1i1'}
  • 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_011CacLMvfkgMLPn2DKAmH59'}
  • 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_011CacLMwCkZgSpMmyfSdmgv'}
  • 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_011CacLMwkz8tqG6mE8usipn'}
  • 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_011CacLMxHEkbZELyGBza36c'}
  • 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_011CacLMxnFQEadZ83jhXXPJ'}
  • 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_011CacLMyEHin748aFKnFBx5'}
  • 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_011CacLMyiouKrjCmcNTwd8F'}
  • 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_011CacLMzBLUKUXfWDgg2xib'}
  • 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_011CacLMzesKPoZKy5ji7M8S'}
  • 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_011CacLN1QWhkwbLghqasZh6'}
  • 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_011CacLN24CqjjAJjV4MrB8H'}
  • 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_011CacLN35DgaPkFc8kotm3E'}
  • 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_011CacLN3xJUHBBYPcY7Lnzw'}
  • 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_011CacLN4eyH5fj73ZRwYKv4'}
  • 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_011CacLN5P8Pu4MZhUGgzzUx'}
  • 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_011CacLN5s9QpvMRS27WEU8e'}
  • 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_011CacLN6Lg2qqUYE6Y1d4XS'}
  • 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_011CacLN6qS6HXJayXQvpdnn'}
  • 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_011CacLN7RewBNzupabrnSrq'}
  • 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_011CacLN7xQgc5wvqaooLmcN'}
  • 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_011CacLN8Px565zH1U6au5V4'}
  • 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_011CacLN8nGWX92XZrgrDE4G'}
  • 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_011CacLN9GHkTTCQ7esK7kuF'}
  • 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_011CacLN9m3vL3zR9225dWMH'}
  • 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_011CacLNAH4UKMF9xvjrh9J3'}
  • 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_011CacLNAp46zyR9yZE5PKEF'}
  • 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_011CacLNBKpCV35kAjdQdeBp'}
  • 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_011CacLNBnM38i2N444W6rz6'}
  • 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_011CacLNCFsSmuXyy7qejTuz'}
  • 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_011CacLNCnsLZ75rXv11xstx'}
  • 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_011CacLNDN6ZdRVEP4SGj27d'}
  • 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_011CacLNDz3w1B7T3SqFVSAS'}
  • 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_011CacLNEVodtjt935JzjnfH'}
  • 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_011CacLNF2Jt6KkYECQcHiLB'}
  • 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_011CacLNFZZ7qCN13UJkmqJq'}
  • 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_011CacLNG3ph9JSeS6EZAJzL'}
  • 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_011CacLNGZaNrtZhni4PP3oL'}
  • 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_011CacLNH3brCgotUeq8mS6R'}
  • 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_011CacLNHtx45b62vtkbRTMD'}
  • 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_011CacLNJk3cs82jtbnjTnGB'}
  • 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_011CacLNKCpyp2EGbdLeBupH'}
  • 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_011CacLNKhqroGeudepS9bS6'}
  • 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_011CacLNLBcWmukVEE22CA3r'}
  • 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_011CacLNLetm3dSrDiheNUm4'}
  • 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_011CacLNMKL3yFHtTicRptvi'}
  • 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_011CacLNMsZYpNABQbp5Q9wK'}
  • 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_011CacLNNhvY7uNBPDYe4a8B'}
  • 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_011CacLNPCgtEmEmpnhUWPpu'}
  • 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_011CacLNPnuQrMBTasQefKTD'}
  • 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_011CacLNQRc9pcoDGGoP6dyn'}
  • 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_011CacLNQtt8FER55jsDXvjz'}
  • 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_011CacLNRLg8aNihu6biMhzd'}
  • 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_011CacLNRqgjoatXXyZDxTYS'}
  • 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_011CacLNSUdtr7Rtd92JwUG1'}
  • 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_011CacLNSxuXoLCLBg7rdKBG'}
  • 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_011CacLNTWeRfL3JvoMPNHuQ'}
  • 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_011CacLNTyB9w8yVfaVsj57U'}
  • 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_011CacLNUWRQNeQFKrJNs9Mf'}
  • 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_011CacLNV2vMeyw22572mS5W'}
  • 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_011CacLNVZvBqxuXZYjiffN7'}
  • 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_011CacLNW5RdPFxievN4q3A6'}
  • 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_011CacLNWWyAUyK2XXe9xNND'}
  • 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_011CacLNX5TRn3NLiKfnX2Z8'}
  • 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_011CacLNXbD9JkS8MKf7YLUC'}
  • 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_011CacLNY7DNhNyFSgxJB2Hq'}
  • 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_011CacLNYcyaGGLjzfEUeM6s'}
  • 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_011CacLNZBDJNVUAbPEHM4Yf'}
  • 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_011CacLNZeytXm8BTiTcAWdr'}
  • 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_011CacLNaBjbT1JPyjfrbBpD'}
  • 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_011CacLNadmh3g9KkeGuV44W'}
  • 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_011CacLNb1LnuT5tnegb7WwT'}
  • 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_011CacLNbWMjGQrvppBTk9M2'}
  • 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_011CacLNc6KwsN5f8dKB5CCF'}
  • 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_011CacLNcjmj6p3WLUgUnjLq'}
  • 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_011CacLNdLjrrXJm54KqzBR3'}
  • 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_011CacLNdsV6ZV6yb39Lk5vC'}
  • 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_011CacLNeNFMwo7TMu2wnStE'}
  • 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_011CacLNeuk7JdW5Gzj15zYQ'}
  • 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_011CacLNfTjgewchk8x5krut'}
  • 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_011CacLNg3DL49K4iNWRZVJ5'}
  • 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_011CacLNgVVoogE5poT93Sx7'}
  • 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_011CacLNhTY64Qr1LegqLVyN'}
  • 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_011CacLNhz3AfwaYBppg9LQs'}
  • 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_011CacLNiW3RhDkPRJSqLHy3'}
  • 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_011CacLNjKAKyX4jBERKJKRF'}
  • 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_011CacLNjruLaukUs6aCoeiE'}
  • 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_011CacLNkMv4fXSwot5thnox'}

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
rows16,382
null0 (0.0%)
unique16,382
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_size16,382
readability_flesch_mean115.298
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate1.000
boilerplate_rate0.000
Sample values (first 10)
  1. 10375HA
  2. 22495BM
  3. 13793BN
  4. 12511CG
  5. 14021AS
  6. 22585LA
  7. 15162PP
  8. 15414IT
  9. 12620CD
  10. 18362EG

ROG3 categorical

rows16,382
null0 (0.0%)
unique238
top_valueIN
top_rate0.138
cardinality238
entropy6.225
entropy_ratio0.788
Top values (rank 1–20)
  1. IN — 2,262
  2. PP — 883
  3. ID — 788
  4. PK — 775
  5. CH — 547
  6. NI — 535
  7. US — 496
  8. MX — 333
  9. BR — 321
  10. CM — 292
  11. BG — 278
  12. CA — 243
  13. CG — 231
  14. BM — 218
  15. AS — 205
  16. RP — 200
  17. SU — 198
  18. NP — 195
  19. LA — 184
  20. MY — 183

PeopleID3 numeric

rows16,382
null0 (0.0%)
unique10,415
min10,119
max22,661
mean15,413
median14,962
std3,478
q112,348
q318,332
iqr5,984
skew0.370
kurtosis-0.981
n_outliers0
outlier_rate0.000
zero_rate0.000

ROP3 numeric

rows16,382
null11 (0.1%)
unique10,405
min100,004
max119,649
mean109,059
median108,856
std5,405
q1104,189
q3113,527
iqr9,338
skew0.151
kurtosis-1.053
n_outliers0
outlier_rate0.000
zero_rate0.000

PeopNameInCountry text

53.1% rows are a single word 34.4% duplicate strings
rows16,382
null0 (0.0%)
unique10,748
len_min1
len_max41
len_mean11.457
len_median9.000
len_p9525.000
word_mean1.636
word_median1.000
n_empty0
n_duplicates5,634
duplicate_rate0.344
vocab_size11,539
readability_flesch_mean49.275
emoji_rate0.000
url_rate0.000
one_word_rate0.531
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Arab
  2. Bote
  3. Mokole
  4. Kaonde
  5. Mabuiag
  6. Akha Muji
  7. Tabriak, Karawari
  8. Wolof
  9. Kenga
  10. Kharga, Selima

ROG2 categorical

rows16,382
null0 (0.0%)
unique7
top_valueASI
top_rate0.450
cardinality7
entropy2.257
entropy_ratio0.804
Top values (rank 1–20)
  1. ASI — 7,368
  2. AFR — 3,635
  3. EUR — 1,532
  4. NAR — 1,407
  5. AUS — 1,088
  6. LAM — 905
  7. SOP — 447

Continent categorical

rows16,382
null0 (0.0%)
unique7
top_valueAsia
top_rate0.450
cardinality7
entropy2.257
entropy_ratio0.804
Top values (rank 1–20)
  1. Asia — 7,368
  2. Africa — 3,635
  3. Europe — 1,532
  4. North America — 1,407
  5. Australia — 1,088
  6. South America — 905
  7. Oceania — 447

RegionName categorical

rows16,382
null0 (0.0%)
unique12
top_valueAsia, South
top_rate0.226
cardinality12
entropy3.325
entropy_ratio0.927
Top values (rank 1–20)
  1. Asia, South — 3,707
  2. Africa, West and Central — 2,175
  3. Asia, Southeast — 1,922
  4. Australia and Pacific — 1,535
  5. America, Latin — 1,395
  6. Africa, East and Southern — 1,276
  7. Europe, Western — 1,116
  8. America, North and Caribbean — 917
  9. Asia, Northeast — 709
  10. Africa, North and Middle East — 593
  11. Europe, Eastern and Eurasia — 577
  12. Asia, Central — 460

ISO3 categorical

rows16,382
null0 (0.0%)
unique238
top_valueIND
top_rate0.138
cardinality238
entropy6.225
entropy_ratio0.788
Top values (rank 1–20)
  1. IND — 2,262
  2. PNG — 883
  3. IDN — 788
  4. PAK — 775
  5. CHN — 547
  6. NGA — 535
  7. USA — 496
  8. MEX — 333
  9. BRA — 321
  10. CMR — 292
  11. BGD — 278
  12. CAN — 243
  13. COD — 231
  14. MMR — 218
  15. AUS — 205
  16. PHL — 200
  17. SDN — 198
  18. NPL — 195
  19. LAO — 184
  20. MYS — 183

LocationInCountry text

13 languages detected in sample 45.1% null
rows16,382
null7,392 (45.1%)
unique7,794
len_min3
len_max994
len_mean108.212
len_median79.000
len_p95314.000
word_mean15.478
word_median11.000
n_empty0
n_duplicates1,196
duplicate_rate0.133
vocab_size25,733
readability_flesch_mean38.134
emoji_rate0.000
url_rate0.000
one_word_rate0.027
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Widespread.
  2. Far North region: Logone-and-Chari division, Kousséri subdivision.
  3. Salamat region: Aboudeïa department, southeast of Abou Deïa, south of Birgit [btf] language area, in and west of Ter.
  4. Rivers state: Ahoada LGA. 1 town.
  5. Madang province: 20 km west of Seure.
  6. Chin State, Matupi township.
  7. Milne Bay province: Trobriand islands.
  8. Bas-Sassandra District, Sassandra, Soubre, and San Pedro prefectures.
  9. Western Province, Western Lozi-Luyana area
  10. Largest enclave in Ysyk-Kol Region near Karakol; others in Chuy Region, in Bishkek and 2 small nearby border areas.

PeopleID1 numeric

rows16,382
null0 (0.0%)
unique16
min10.000
max26.000
mean18.583
median20.000
std3.921
q116.000
q321.000
iqr5.000
skew-0.794
kurtosis-0.511
n_outliers0
outlier_rate0.000
zero_rate0.000

ROP1 categorical

rows16,382
null0 (0.0%)
unique16
top_valueA012
top_rate0.255
cardinality16
entropy3.322
entropy_ratio0.831
Top values (rank 1–20)
  1. A012 — 4,178
  2. A013 — 3,073
  3. A003 — 1,593
  4. A010 — 1,588
  5. A007 — 1,352
  6. A008 — 1,031
  7. A011 — 635
  8. A001 — 634
  9. A014 — 453
  10. A009 — 415
  11. A002 — 402
  12. A015 — 299
  13. A005 — 228
  14. A004 — 200
  15. A017 — 164
  16. A006 — 137

AffinityBloc categorical

rows16,382
null0 (0.0%)
unique16
top_valueSouth Asian Peoples
top_rate0.255
cardinality16
entropy3.322
entropy_ratio0.831
Top values (rank 1–20)
  1. South Asian Peoples — 4,178
  2. Sub-Saharan Peoples — 3,073
  3. Eurasian Peoples — 1,593
  4. Pacific Islanders — 1,588
  5. Latin-Caribbean Americans — 1,352
  6. Malay Peoples — 1,031
  7. Southeast Asian Peoples — 635
  8. Arab World — 634
  9. Tibetan-Himalayan Peoples — 453
  10. North American Peoples — 415
  11. East Asian Peoples — 402
  12. Turkic Peoples — 299
  13. Persian-Median — 228
  14. Horn of Africa Peoples — 200
  15. Deaf — 164
  16. Jewish — 137

PeopleID2 numeric

rows16,382
null0 (0.0%)
unique267
min100.000
max479.000
mean283.724
median268.000
std114.605
q1183.000
q3402.000
iqr219.000
skew0.245
kurtosis-1.126
n_outliers0
outlier_rate0.000
zero_rate0.000

ROP2 categorical

rows16,382
null0 (0.0%)
unique214
top_valueA012
top_rate0.254
cardinality214
entropy5.901
entropy_ratio0.762
Top values (rank 1–20)
  1. A012 — 4,169
  2. C0152 — 1,139
  3. C0201 — 448
  4. C0044 — 342
  5. C0147 — 253
  6. C0154 — 240
  7. C0065 — 226
  8. C0062 — 223
  9. C0229 — 223
  10. C0087 — 182
  11. C0252 — 164
  12. C0012 — 162
  13. C0003 — 161
  14. C0059 — 160
  15. C0085 — 160
  16. C0258 — 159
  17. C0079 — 152
  18. C0061 — 149
  19. C0195 — 142
  20. C0015 — 139

PeopleCluster categorical

rows16,382
null0 (0.0%)
unique267
top_valueNew Guinea
top_rate0.070
cardinality267
entropy6.929
entropy_ratio0.860
Top values (rank 1–20)
  1. New Guinea — 1,139
  2. South Asia Hindu - other — 935
  3. South Asia Muslim - other — 592
  4. South American Indigenous — 448
  5. South Asia Tribal - other — 448
  6. South Asia Dalit - other — 359
  7. Benue — 342
  8. South Asia Muslim - Pashtun — 293
  9. Mon-Khmer — 253
  10. North American Indigenous — 240
  11. Chinese — 226
  12. Chadic — 223
  13. Tibeto-Burman, other — 223
  14. Gur — 182
  15. Deaf — 164
  16. Anglo-Celt — 162
  17. Adamawa-Ubangi — 161
  18. Borneo-Kalimantan — 160
  19. Guinean — 160
  20. Bantu, Central-Congo — 159

PeopNameAcrossCountries text

59.0% rows are a single word 36.7% duplicate strings
rows16,382
null0 (0.0%)
unique10,377
len_min1
len_max42
len_mean10.934
len_median8.000
len_p9525.000
word_mean1.568
word_median1.000
n_empty0
n_duplicates6,005
duplicate_rate0.367
vocab_size10,446
readability_flesch_mean49.451
emoji_rate0.000
url_rate0.000
one_word_rate0.590
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Arab
  2. Bote
  3. Mokole
  4. Kaonde
  5. Mabuiag
  6. Akha Muji
  7. Tabriak
  8. Wolof
  9. Kenga
  10. Kharga, Selima

Population numeric

skew=+91.04 15.0% rows beyond 1.5 IQR
rows16,382
null25 (0.2%)
unique1,708
min10.000
max912,955,000
mean499,469
median20,000
std8,066,091
q14,300
q393,000
iqr88,700
skew91.036
kurtosis10,051
n_outliers2,455
outlier_rate0.150
zero_rate0.000

Category categorical

rows16,382
null0 (0.0%)
unique3
top_value1
top_rate0.531
cardinality3
entropy1.313
entropy_ratio0.828
Top values (rank 1–20)
  1. 1 — 8,705
  2. 3 — 6,317
  3. 2 — 1,360

ROL3 text

100.0% rows are a single word 95th-percentile length under 20 chars 62.4% duplicate strings
rows16,382
null0 (0.0%)
unique6,164
len_min3
len_max3
len_mean3.000
len_median3.000
len_p953.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates10,218
duplicate_rate0.624
vocab_size6,163
readability_flesch_mean117.413
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate1.22e-04
boilerplate_rate0.000
Sample values (first 10)
  1. apc
  2. xxx
  3. mkl
  4. kqn
  5. mwp
  6. ahk
  7. tzx
  8. wol
  9. kyq
  10. ayl

PrimaryLanguageName text

73.1% rows are a single word 95th-percentile length under 20 chars 62.4% duplicate strings
rows16,382
null0 (0.0%)
unique6,153
len_min1
len_max45
len_mean9.081
len_median7.000
len_p9519.000
word_mean1.322
word_median1.000
n_empty0
n_duplicates10,229
duplicate_rate0.624
vocab_size6,251
readability_flesch_mean42.670
emoji_rate0.000
url_rate0.000
one_word_rate0.731
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Arabic, Levantine
  2. Language unknown
  3. Mokole
  4. Kaonde
  5. Kala Lagaw Ya
  6. Akha
  7. Karawari
  8. Wolof
  9. Kenga
  10. Arabic, Libyan

PrimaryLanguageDialect categorical

850 singleton categories 92.3% null
rows16,382
null15,121 (92.3%)
unique980
top_valueBrazilian Portuguese
top_rate0.033
cardinality980
entropy9.613
entropy_ratio0.967
Top values (rank 1–20)
  1. Brazilian Portuguese — 41
  2. Assyrian — 15
  3. Punjabi — 14
  4. Sinhalese — 10
  5. Ta'izzi — 8
  6. Guipuzcoan — 8
  7. Moldavian — 7
  8. Kalderash — 6
  9. Siripuria — 6
  10. Tangsa — 6
  11. Wasulunkakan — 6
  12. Nyanja — 6
  13. Orange River — 5
  14. Pomak — 5
  15. Hui — 4
  16. Central — 4
  17. Vixlin — 4
  18. Malagasy — 4
  19. Unga — 4
  20. Western Sudanese — 3

NumberLanguagesSpoken numeric

skew=+7.44 14.7% rows beyond 1.5 IQR
rows16,382
null0 (0.0%)
unique78
min1.000
max145.000
mean2.764
median1.000
std5.985
q11.000
q32.000
iqr1.000
skew7.437
kurtosis83.758
n_outliers2,410
outlier_rate0.147
zero_rate0.000

OfficialLang categorical

rows16,382
null8 (0.0%)
unique87
top_valueEnglish
top_rate0.224
cardinality87
entropy4.368
entropy_ratio0.678
Top values (rank 1–20)
  1. English — 3,672
  2. Hindi — 2,262
  3. French — 1,478
  4. Spanish — 1,121
  5. Arabic, Standard — 891
  6. Indonesian — 788
  7. Urdu — 775
  8. Chinese, Mandarin — 638
  9. Portuguese — 529
  10. Bengali — 278
  11. Burmese — 218
  12. Malay — 207
  13. Tagalog — 200
  14. Nepali — 195
  15. Lao — 184
  16. Russian — 171
  17. German, Standard — 158
  18. Swahili — 154
  19. Sinhala — 139
  20. Amharic — 120

SpeakNationalLang unknown

no profiler for kind=unknown
rows16,382
null0 (0.0%)

BibleStatus numeric

rows16,382
null0 (0.0%)
unique6
min0.000
max5.000
mean3.862
median4.000
std1.429
q13.000
q35.000
iqr2.000
skew-1.219
kurtosis0.586
n_outliers0
outlier_rate0.000
zero_rate0.048

BibleYear categorical

52.4% null
rows16,382
null8,592 (52.4%)
unique466
top_value1818-2022
top_rate0.088
cardinality466
entropy6.883
entropy_ratio0.776
Top values (rank 1–20)
  1. 1818-2022 — 682
  2. 1382-2020 — 424
  3. 1809-2022 — 366
  4. 1553-2020 — 308
  5. 1727-2024 — 221
  6. 1954 — 195
  7. 1751-2025 — 173
  8. 1843-2022 — 167
  9. 1815-2021 — 164
  10. 1823-2021 — 160
  11. 1854-2022 — 148
  12. 1895-2020 — 146
  13. 1874-2018 — 136
  14. 1959-2021 — 134
  15. 1478-2020 — 112
  16. 1841-2022 — 109
  17. 1821-2024 — 98
  18. 1827-2024 — 92
  19. 1875-2024 — 90
  20. 2008 — 87

NTYear text

100.0% rows are a single word 94.1% rows are all-caps 30.5% null 95th-percentile length under 20 chars 90.6% duplicate strings
rows16,382
null4,991 (30.5%)
unique1,072
len_min3
len_max9
len_mean7.794
len_median9.000
len_p959.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates10,319
duplicate_rate0.906
vocab_size1,072
readability_flesch_mean121.220
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate0.941
boilerplate_rate0.000
Sample values (first 10)
  1. Yes
  2. 1776-2018
  3. 1999-2018
  4. 1879-1989
  5. 1847-1987
  6. 2016
  7. Yes
  8. 2017
  9. 2005-2019
  10. 1978-2022

PortionsYear text

100.0% rows are a single word 88.7% rows are all-caps 95th-percentile length under 20 chars 87.1% duplicate strings
rows16,382
null2,936 (17.9%)
unique1,737
len_min3
len_max9
len_mean7.595
len_median9.000
len_p959.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates11,709
duplicate_rate0.871
vocab_size1,737
readability_flesch_mean121.220
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate0.887
boilerplate_rate0.000
Sample values (first 10)
  1. 1939-2021
  2. 1824-2010
  3. 2022
  4. 1929-2011
  5. 1969-2023
  6. Yes
  7. 1969
  8. 1927-1993
  9. 1843-1966
  10. 2024

TranslationNeedQuestionable unknown

no profiler for kind=unknown
rows16,382
null0 (0.0%)

JPScale numeric

rows16,382
null0 (0.0%)
unique5
min1.000
max5.000
mean2.681
median3.000
std1.644
q11.000
q34.000
iqr3.000
skew0.194
kurtosis-1.658
n_outliers0
outlier_rate0.000
zero_rate0.000

JPScalePC categorical

rows16,382
null0 (0.0%)
unique5
top_value5
top_rate0.338
cardinality5
entropy1.997
entropy_ratio0.860
Top values (rank 1–20)
  1. 5 — 5,539
  2. 1 — 5,189
  3. 4 — 3,914
  4. 3 — 927
  5. 2 — 813

JPScalePGAC categorical

rows16,382
null0 (0.0%)
unique5
top_value1
top_rate0.433
cardinality5
entropy1.998
entropy_ratio0.860
Top values (rank 1–20)
  1. 1 — 7,091
  2. 4 — 3,587
  3. 5 — 3,520
  4. 3 — 1,276
  5. 2 — 908

LeastReached categorical

rows16,382
null0 (0.0%)
unique2
top_valueN
top_rate0.565
cardinality2
entropy0.988
entropy_ratio0.988
Top values (rank 1–20)
  1. N — 9,258
  2. Y — 7,124

LeastReachedPC categorical

rows16,382
null0 (0.0%)
unique2
top_valueN
top_rate0.673
cardinality2
entropy0.912
entropy_ratio0.912
Top values (rank 1–20)
  1. N — 11,029
  2. Y — 5,353

LeastReachedPGAC categorical

rows16,382
null0 (0.0%)
unique2
top_valueN
top_rate0.567
cardinality2
entropy0.987
entropy_ratio0.987
Top values (rank 1–20)
  1. N — 9,291
  2. Y — 7,091

GSEC categorical

rows16,382
null0 (0.0%)
unique8
top_value
top_rate0.400
cardinality8
entropy2.197
entropy_ratio0.732
Top values (rank 1–20)
  1. — 6,553
  2. 1 — 4,852
  3. 6 — 1,676
  4. 4 — 1,435
  5. 5 — 1,337
  6. 0 — 238
  7. 2 — 167
  8. 3 — 124

HasAudioRecordings categorical

rows16,382
null0 (0.0%)
unique2
top_valueY
top_rate0.823
cardinality2
entropy0.674
entropy_ratio0.674
Top values (rank 1–20)
  1. Y — 13,479
  2. N — 2,903

NTOnline categorical

28.5% null top value is 100.0% of rows
rows16,382
null4,677 (28.5%)
unique1
top_valueY
top_rate1.000
cardinality1
entropy-0.000
entropy_ratio0.000
Top values (rank 1–20)
  1. Y — 11,705

RLG3 numeric

rows16,382
null0 (0.0%)
unique8
min1.000
max9.000
mean3.469
median4.000
std2.238
q11.000
q36.000
iqr5.000
skew0.126
kurtosis-1.366
n_outliers0
outlier_rate0.000
zero_rate0.000

RLG3PC numeric

rows16,382
null0 (0.0%)
unique8
min1.000
max9.000
mean3.213
median2.000
std2.311
q11.000
q36.000
iqr5.000
skew0.314
kurtosis-1.466
n_outliers0
outlier_rate0.000
zero_rate0.000

RLG3PGAC numeric

rows16,382
null0 (0.0%)
unique8
min1.000
max9.000
mean3.486
median4.000
std2.252
q11.000
q36.000
iqr5.000
skew0.126
kurtosis-1.363
n_outliers0
outlier_rate0.000
zero_rate0.000

PrimaryReligion categorical

rows16,382
null0 (0.0%)
unique8
top_valueChristianity
top_rate0.394
cardinality8
entropy2.231
entropy_ratio0.744
Top values (rank 1–20)
  1. Christianity — 6,459
  2. Islam — 3,786
  3. Ethnic Religions — 2,651
  4. Hinduism — 2,338
  5. Buddhism — 635
  6. Non-Religious — 200
  7. Unknown — 189
  8. Other / Small — 124

PrimaryReligionPC categorical

rows16,382
null0 (0.0%)
unique8
top_valueChristianity
top_rate0.476
cardinality8
entropy2.071
entropy_ratio0.690
Top values (rank 1–20)
  1. Christianity — 7,795
  2. Islam — 3,658
  3. Hinduism — 2,557
  4. Ethnic Religions — 1,223
  5. Buddhism — 647
  6. Non-Religious — 267
  7. Unknown — 173
  8. Other / Small — 62

PrimaryReligionPGAC categorical

rows16,382
null0 (0.0%)
unique8
top_valueChristianity
top_rate0.394
cardinality8
entropy2.245
entropy_ratio0.748
Top values (rank 1–20)
  1. Christianity — 6,462
  2. Islam — 3,766
  3. Ethnic Religions — 2,613
  4. Hinduism — 2,348
  5. Buddhism — 603
  6. Non-Religious — 256
  7. Unknown — 195
  8. Other / Small — 139

RLG4 numeric

96.2% null 5.3% rows beyond 1.5 IQR
rows16,382
null15,761 (96.2%)
unique20
min10.000
max41.000
mean18.491
median20.000
std6.519
q114.000
q321.000
iqr7.000
skew0.936
kurtosis1.156
n_outliers33
outlier_rate0.053
zero_rate0.000

ReligionSubdivision categorical

96.2% null
rows16,382
null15,761 (96.2%)
unique20
top_valueSunni
top_rate0.291
cardinality20
entropy3.185
entropy_ratio0.737
Top values (rank 1–20)
  1. Sunni — 181
  2. Judaism — 124
  3. Sikhism — 68
  4. Tibetan — 59
  5. Theravada — 55
  6. Ancestor Worship — 27
  7. Shia — 21
  8. Mahayana — 16
  9. Jainism — 12
  10. Zoroastrianism — 11
  11. Kirati — 10
  12. Prakriti — 9
  13. Animism — 7
  14. Mandaeism — 6
  15. Druze — 4
  16. Baha'i — 4
  17. Syncretized — 3
  18. Shia Imami Ismaili — 2
  19. Sarna — 1
  20. Lingayat — 1

PCIslam numeric

21.1% rows beyond 1.5 IQR
rows16,382
null86 (0.5%)
unique1,117
min0.000
max100.000
mean23.205
median0.000
std39.536
q10.000
q328.000
iqr28.000
skew1.273
kurtosis-0.258
n_outliers3,438
outlier_rate0.211
zero_rate0.632

PCNonReligious numeric

skew=+3.65 24.8% rows beyond 1.5 IQR
rows16,382
null66 (0.4%)
unique223
min0.000
max99.000
mean3.421
median0.000
std9.210
q10.000
q30.000
iqr0.000
skew3.648
kurtosis15.427
n_outliers4,043
outlier_rate0.248
zero_rate0.752

PCUnknown numeric

skew=+9.07
rows16,382
null104 (0.6%)
unique583
min0.000
max100.000
mean1.201
median0.000
std10.342
q10.000
q30.000
iqr0.000
skew9.066
kurtosis81.523
n_outliers719
outlier_rate0.044
zero_rate0.956

SecurityLevel numeric

rows16,382
null0 (0.0%)
unique3
min0.000
max2.000
mean1.099
median1.000
std0.931
q10.000
q32.000
iqr2.000
skew-0.199
kurtosis-1.816
n_outliers0
outlier_rate0.000
zero_rate0.388

LRTop100 categorical

top value is 99.4% of rows
rows16,382
null0 (0.0%)
unique2
top_valueN
top_rate0.994
cardinality2
entropy0.054
entropy_ratio0.054
Top values (rank 1–20)
  1. N — 16,282
  2. Y — 100

PhotoAddress text

100.0% rows are a single word 95th-percentile length under 20 chars 67.8% duplicate strings
rows16,382
null1 (0.0%)
unique5,277
len_min0
len_max13
len_mean6.523
len_median10.000
len_p9510.000
word_mean1.000
word_median1.000
n_empty5,718
n_duplicates11,104
duplicate_rate0.678
vocab_size5,276
readability_flesch_mean82.430
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. p10375.jpg
  2. p22536.jpg
  5. p14016.jpg
  6. p22585.jpg
  8. p15414.jpg
  10. p18362.jpg

PhotoCredits text

57.5% rows are a single word 90.2% duplicate strings
rows16,382
null10 (0.1%)
unique1,605
len_min0
len_max56
len_mean11.542
len_median9.000
len_p9530.000
word_mean2.081
word_median1.000
n_empty5,718
n_duplicates14,767
duplicate_rate0.902
vocab_size2,658
readability_flesch_mean-13.877
emoji_rate0.000
url_rate4.28e-04
one_word_rate0.575
allcaps_rate1.65e-03
boilerplate_rate0.000
Sample values (first 10)
  1. Hashim Abdullah - Pixabay
  2. Asia Harvest-Operation Myanmar
  6. Anonymous
  8. Kerry Olson
  9. Anonymous
  10. Anonymous

PhotoCreditURL text

100.0% rows are a single word 47.5% rows contain a URL 33.1% null 86.9% duplicate strings
rows16,382
null5,419 (33.1%)
unique1,434
len_min0
len_max240
len_mean25.673
len_median0.000
len_p9573.000
word_mean1.000
word_median1.000
n_empty5,718
n_duplicates9,529
duplicate_rate0.869
vocab_size1,433
readability_flesch_mean-261.672
emoji_rate0.000
url_rate0.475
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. https://pixabay.com/photos/people-students-walk-street-muslim-6284192/
  6. https://www.asiaharvest.org
  10. https://flickr.com/photos/rod_waddington/10961120766

PhotoCreativeCommons categorical

rows16,382
null5 (0.0%)
unique2
top_valueN
top_rate0.836
cardinality2
entropy0.645
entropy_ratio0.645
Top values (rank 1–20)
  1. N — 13,686
  2. Y — 2,691

PhotoCopyright categorical

rows16,382
null15 (0.1%)
unique2
top_valueN
top_rate0.880
cardinality2
entropy0.531
entropy_ratio0.531
Top values (rank 1–20)
  1. N — 14,395
  2. Y — 1,972

PhotoPermission categorical

rows16,382
null17 (0.1%)
unique3
top_valueN
top_rate0.871
cardinality3
entropy0.556
entropy_ratio0.351
Top values (rank 1–20)
  1. N — 14,252
  2. Y — 2,111
  3. y — 2

ProfileTextExists categorical

rows16,382
null0 (0.0%)
unique2
top_valueY
top_rate0.795
cardinality2
entropy0.732
entropy_ratio0.732
Top values (rank 1–20)
  1. Y — 13,018
  2. N — 3,364

CountOfCountries numeric

skew=+5.15 19.2% rows beyond 1.5 IQR
rows16,382
null0 (0.0%)
unique48
min1.000
max164.000
mean8.328
median1.000
std20.639
q11.000
q34.000
iqr3.000
skew5.152
kurtosis32.053
n_outliers3,139
outlier_rate0.192
zero_rate0.000

CountOfProvinces unknown

no profiler for kind=unknown
rows16,382
null0 (0.0%)

Longitude numeric

skew=+127.98
rows16,382
null0 (0.0%)
unique15,889
min-179.306
max2,350,588
mean189.326
median55.452
std18,365
q18.673
q394.638
iqr85.965
skew127.978
kurtosis16,377
n_outliers207
outlier_rate0.013
zero_rate0.000

Latitude numeric

rows16,382
null0 (0.0%)
unique15,851
min-54.937
max78.211
mean16.441
median17.033
std20.465
q12.072
q329.882
iqr27.810
skew-0.118
kurtosis-0.258
n_outliers39
outlier_rate2.38e-03
zero_rate0.000

Ctry categorical

rows16,382
null0 (0.0%)
unique238
top_valueIndia
top_rate0.138
cardinality238
entropy6.225
entropy_ratio0.788
Top values (rank 1–20)
  1. India — 2,262
  2. Papua New Guinea — 883
  3. Indonesia — 788
  4. Pakistan — 775
  5. China — 547
  6. Nigeria — 535
  7. United States — 496
  8. Mexico — 333
  9. Brazil — 321
  10. Cameroon — 292
  11. Bangladesh — 278
  12. Canada — 243
  13. Congo, Democratic Republic of — 231
  14. Myanmar (Burma) — 218
  15. Australia — 205
  16. Philippines — 200
  17. Sudan — 198
  18. Nepal — 195
  19. Laos — 184
  20. Malaysia — 183

IndigenousCode categorical

rows16,382
null0 (0.0%)
unique2
top_valueY
top_rate0.748
cardinality2
entropy0.814
entropy_ratio0.814
Top values (rank 1–20)
  1. Y — 12,259
  2. N — 4,123

PercentAdherents text

100.0% rows are a single word 100.0% rows are all-caps 95th-percentile length under 20 chars 92.4% duplicate strings
rows16,382
null0 (0.0%)
unique1,248
len_min5
len_max7
len_mean5.534
len_median6.000
len_p956.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates15,134
duplicate_rate0.924
vocab_size1,248
readability_flesch_mean121.220
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate1.000
boilerplate_rate0.000
Sample values (first 10)
  1. 25.000
  2. 80.000
  3. 12.000
  4. 99.000
  5. 67.000
  6. 0.000
  7. 95.000
  8. 0.000
  9. 0.300
  10. 0.000

PercentChristianPC categorical

rows16,382
null0 (0.0%)
unique246
top_value90.061
top_rate0.070
cardinality246
entropy6.853
entropy_ratio0.863
Top values (rank 1–20)
  1. 90.061 — 1,139
  2. 0.482 — 935
  3. 0.111 — 592
  4. 82.325 — 448
  5. 8.571 — 448
  6. 0.000 — 374
  7. 0.508 — 359
  8. 76.515 — 342
  9. 0.004 — 293
  10. 5.345 — 253
  11. 70.253 — 240
  12. 9.838 — 226
  13. 38.996 — 223
  14. 5.023 — 223
  15. 24.025 — 182
  16. 3.733 — 164
  17. 67.647 — 162
  18. 70.325 — 161
  19. 49.250 — 160
  20. 67.300 — 160

NaturalName text

55.5% rows are a single word 34.5% duplicate strings
rows16,382
null0 (0.0%)
unique10,737
len_min1
len_max41
len_mean10.908
len_median9.000
len_p9525.000
word_mean1.585
word_median1.000
n_empty0
n_duplicates5,645
duplicate_rate0.345
vocab_size11,164
readability_flesch_mean50.529
emoji_rate0.000
url_rate0.000
one_word_rate0.555
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  1. Arab
  2. Bote
  3. Mokole
  4. Kaonde
  5. Mabuiag
  6. Akha Muji
  7. Tabriak, Karawari
  8. Wolof
  9. Kenga
  10. Kharga

NaturalPronunciation text

69.4% rows are a single word 69.6% null 61.1% duplicate strings
rows16,382
null11,407 (69.6%)
unique1,933
len_min2
len_max57
len_mean12.131
len_median11.000
len_p9526.000
word_mean1.345
word_median1.000
n_empty0
n_duplicates3,042
duplicate_rate0.611
vocab_size2,039
readability_flesch_mean61.692
emoji_rate0.000
url_rate0.000
one_word_rate0.694
allcaps_rate4.02e-04
boilerplate_rate0.000
Sample values (first 10)
  1. AE-rub
  2. TEL-uh-goo BRAH-min
  3. MAH-koo-uh
  4. mah-KOO-ah MEE-toh
  5. Boo-nuoh
  6. mes-KEH-tee-un turk
  7. BOO-lang
  8. KOO-kong
  9. wahn-DAH-la
  10. ee-RAH-kee AE-rub

PercentChristianPGAC text

100.0% rows are a single word 100.0% rows are all-caps 95th-percentile length under 20 chars 88.1% duplicate strings
rows16,382
null15 (0.1%)
unique1,954
len_min5
len_max7
len_mean5.528
len_median6.000
len_p956.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates14,413
duplicate_rate0.881
vocab_size1,954
readability_flesch_mean121.220
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate1.000
boilerplate_rate0.000
Sample values (first 10)
  1. 14.741
  2. 100.000
  3. 98.700
  4. 1.238
  5. 92.000
  6. 0.000
  7. 95.000
  8. 0.047
  9. 94.000
  10. 0.011

PercentEvangelical text

100.0% rows are a single word 100.0% rows are all-caps 95th-percentile length under 20 chars 93.2% duplicate strings
rows16,382
null1,095 (6.7%)
unique1,047
len_min5
len_max6
len_mean5.226
len_median5.000
len_p956.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates14,240
duplicate_rate0.932
vocab_size1,047
readability_flesch_mean121.220
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate1.000
boilerplate_rate0.000
Sample values (first 10)
  1. 0.500
  2. 6.000
  3. 5.000
  4. 10.000
  5. 32.000
  6. 50.000
  7. 18.000
  8. 0.000
  9. 33.000
  10. 0.000

PercentEvangelicalPC categorical

rows16,382
null166 (1.0%)
unique228
top_value20.481
top_rate0.070
cardinality228
entropy6.782
entropy_ratio0.866
Top values (rank 1–20)
  1. 20.481 — 1,139
  2. 0.199 — 935
  3. 0.095 — 592
  4. 13.274 — 448
  5. 3.409 — 448
  6. 0.000 — 441
  7. 0.247 — 359
  8. 28.097 — 342
  9. 0.004 — 316
  10. 2.656 — 253
  11. 7.851 — 240
  12. 7.936 — 226
  13. 10.122 — 223
  14. 3.339 — 223
  15. 9.990 — 182
  16. 10.025 — 162
  17. 21.711 — 161
  18. 9.519 — 160
  19. 25.396 — 160
  20. 17.433 — 159

PercentEvangelicalPGAC text

100.0% rows are a single word 100.0% rows are all-caps 95th-percentile length under 20 chars 89.6% duplicate strings
rows16,382
null743 (4.5%)
unique1,624
len_min5
len_max6
len_mean5.235
len_median5.000
len_p956.000
word_mean1.000
word_median1.000
n_empty0
n_duplicates14,015
duplicate_rate0.896
vocab_size1,624
readability_flesch_mean121.220
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate1.000
boilerplate_rate0.000
Sample values (first 10)
  1. 1.892
  2. 10.057
  3. 11.972
  4. 0.014
  5. 16.000
  6. 0.204
  7. 26.000
  8. 0.333
  9. 9.660
  10. 0.004

PCBuddhism numeric

skew=+4.77 11.0% rows beyond 1.5 IQR
rows16,382
null104 (0.6%)
unique1,052
min0.000
max100.000
mean3.769
median0.000
std16.747
q10.000
q30.000
iqr0.000
skew4.775
kurtosis21.996
n_outliers1,798
outlier_rate0.110
zero_rate0.890

PCEthnicReligions numeric

12.1% rows beyond 1.5 IQR
rows16,382
null59 (0.4%)
unique978
min0.000
max100.000
mean17.603
median0.000
std29.020
q10.000
q325.000
iqr25.000
skew1.654
kurtosis1.404
n_outliers1,967
outlier_rate0.121
zero_rate0.505

PCHinduism numeric

skew=+2.06 16.6% rows beyond 1.5 IQR
rows16,382
null105 (0.6%)
unique1,412
min0.000
max100.000
mean14.008
median0.000
std33.870
q10.000
q30.000
iqr0.000
skew2.058
kurtosis2.300
n_outliers2,697
outlier_rate0.166
zero_rate0.834

PCOtherSmall numeric

skew=+11.00 10.7% rows beyond 1.5 IQR
rows16,382
null104 (0.6%)
unique908
min0.000
max100.000
mean0.961
median0.000
std8.299
q10.000
q30.000
iqr0.000
skew11.000
kurtosis123.967
n_outliers1,749
outlier_rate0.107
zero_rate0.893

RegionCode numeric

rows16,382
null0 (0.0%)
unique12
min1.000
max12.000
mean5.935
median5.000
std3.420
q13.000
q38.000
iqr5.000
skew0.231
kurtosis-1.201
n_outliers0
outlier_rate0.000
zero_rate0.000

PopulationPGAC numeric

skew=+15.15 19.2% rows beyond 1.5 IQR
rows16,382
null15 (0.1%)
unique2,250
min10.000
max925,129,800
mean8,812,089
median88,000
std51,144,614
q18,800
q31,386,000
iqr1,377,200
skew15.150
kurtosis262.664
n_outliers3,145
outlier_rate0.192
zero_rate0.000

Frontier categorical

rows16,382
null0 (0.0%)
unique2
top_valueN
top_rate0.709
cardinality2
entropy0.870
entropy_ratio0.870
Top values (rank 1–20)
  1. N — 11,615
  2. Y — 4,767

MapAddress text

100.0% rows are a single word 95th-percentile length under 20 chars 63.2% duplicate strings
rows16,382
null0 (0.0%)
unique6,029
len_min0
len_max13
len_mean5.153
len_median0.000
len_p9513.000
word_mean1.000
word_median1.000
n_empty8,728
n_duplicates10,353
duplicate_rate0.632
vocab_size6,028
readability_flesch_mean13.518
emoji_rate0.000
url_rate0.000
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  2. m22495_bm.png
  8. m00081.png
  9. m12620_cd.png
  10. m18362_eg.png

HasJesusFilm categorical

rows16,382
null0 (0.0%)
unique2
top_valueY
top_rate0.660
cardinality2
entropy0.925
entropy_ratio0.925
Top values (rank 1–20)
  1. Y — 10,816
  2. N — 5,566

Nomadic categorical

top value is 98.1% of rows
rows16,382
null0 (0.0%)
unique2
top_valueN
top_rate0.981
cardinality2
entropy0.136
entropy_ratio0.136
Top values (rank 1–20)
  1. N — 16,071
  2. Y — 311

NomadicTypeDescription categorical

98.1% null
rows16,382
null16,071 (98.1%)
unique6
top_valueAgro-Pastoralists
top_rate0.682
cardinality6
entropy1.341
entropy_ratio0.519
Top values (rank 1–20)
  1. Agro-Pastoralists — 212
  2. Service or Trade — 68
  3. Agro-Pastoralists, Service or Trade — 16
  4. Hunter-Gatherers — 11
  5. Agro-Pastoralists, Hunter-Gatherers — 2
  6. Service or Trade, Hunter-Gatherers — 2

PhotoCCVersionText categorical

rows16,382
null0 (0.0%)
unique17
top_value
top_rate0.836
cardinality17
entropy1.137
entropy_ratio0.278
Top values (rank 1–20)
  1. — 13,688
  2. CC BY 2.0 — 661
  3. CC BY-NC-SA 2.0 — 440
  4. CC BY-SA 4.0 — 425
  5. CC BY-SA 2.0 — 332
  6. CC0 1.0 — 247
  7. CC BY-NC 2.0 — 230
  8. CC BY-SA 3.0 — 219
  9. CC BY 3.0 — 35
  10. CC BY-NC-ND 2.0 — 35
  11. CC BY 3.0 BR — 21
  12. CC BY 4.0 — 20
  13. CC BY-SA 2.5 — 11
  14. CC BY-ND 2.0 — 9
  15. CC SA 1.0 — 7
  16. CC BY-SA 3.0 DE — 1
  17. CC BY-NC-SA 4.0 — 1

PhotoCCVersionURL categorical

rows16,382
null0 (0.0%)
unique17
top_value
top_rate0.836
cardinality17
entropy1.137
entropy_ratio0.278
Top values (rank 1–20)
  1. — 13,688
  2. https://creativecommons.org/licenses/by/2.0/ — 661
  3. https://creativecommons.org/licenses/by-nc-sa/2.0/ — 440
  4. https://creativecommons.org/licenses/by-sa/4.0/ — 425
  5. https://creativecommons.org/licenses/by-sa/2.0/ — 332
  6. https://creativecommons.org/publicdomain/zero/1.0/ — 247
  7. https://creativecommons.org/licenses/by-nc/2.0/ — 230
  8. https://creativecommons.org/licenses/by-sa/3.0/ — 219
  9. https://creativecommons.org/licenses/by/3.0/ — 35
  10. https://creativecommons.org/licenses/by-nc-nd/2.0/ — 35
  11. https://creativecommons.org/licenses/by/3.0/br/deed.en — 21
  12. https://creativecommons.org/licenses/by/4.0/ — 20
  13. https://creativecommons.org/licenses/by-sa/2.5/ — 11
  14. https://creativecommons.org/licenses/by-nd/2.0/ — 9
  15. https://creativecommons.org/licenses/by-sa/1.0/ — 7
  16. https://creativecommons.org/licenses/by-sa/3.0/de/deed.en — 1
  17. https://creativecommons.org/licenses/by-nc-sa/4.0 — 1

MapCredits categorical

114 singleton categories
rows16,382
null0 (0.0%)
unique199
top_value
top_rate0.533
cardinality199
entropy2.726
entropy_ratio0.357
Top values (rank 1–20)
  1. — 8,733
  2. People Group data: Omid. Map geography: UNESCO / GMI. Map Design: Joshua Project — 2,228
  3. People Group data: Omid. Map geography: UNESCO / GMI. Map Design: Joshua Project. — 864
  4. Location: IMB. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 853
  5. Anonymous — 759
  6. People Group Location: Omid. Other geography / data: GMI. Map Design: Joshua Project — 603
  7. Bethany World Prayer Center — 582
  8. Joshua Project / Global Mapping International — 520
  9. Asia Harvest-Operation Myanmar — 144
  10. Bryan Nicholson / cartoMission — 117
  11. Mark Stevens — 96
  12. Location: SIL / WLMS. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 85
  13. West Melanesia — 78
  14. Southeast Asia Link - SEALINK — 68
  15. NCRP — 54
  16. Location: WLMS. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 49
  17. Rodrigo Tinoco - https://www.data4mission.com/ — 44
  18. Location: Web research. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 35
  19. Location: World Jewish Congress, Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 26
  20. Location: Joshua Project. Imagery: GMI, ESRI, Maxar, Earthstar Geographics, ESRI User Community. Design: Joshua Project. — 23

MapCreditURL categorical

26 singleton categories top value is 97.0% of rows
rows16,382
null0 (0.0%)
unique51
top_value
top_rate0.970
cardinality51
entropy0.295
entropy_ratio0.052
Top values (rank 1–20)
  1. — 15,891
  2. https://www.asiaharvest.org — 146
  3. https://www.cartomission.com — 117
  4. https://www.westmelanesia.com/ — 78
  5. https://www.worldjewishcongress.org/ — 26
  6. https://www.census.gov/prod/2004pubs/c2kbr-35.pdf — 16
  7. https://commons.wikimedia.org/wiki/File:Caucasus_ethnic.jpg — 11
  8. https://www.npolar.no/ansipra/english/Indexpages/Map_index.html — 11
  9. https://www.eki.ee/books/redbook/introduction.shtml — 9
  10. mailto:cambodia.peoples@gmail.com — 9
  11. https://commons.wikimedia.org/wiki/File:Maeneo_penye_wasemaji_wa_Kiswahili.png — 8
  12. https://www.cartpioneers.org/products/Peoples-of-Yemen-Prayer-Guide.html — 4
  13. https://www.burmaissues.org/En/ethnicgroups1.html — 4
  14. https://www.face-music.ch/bi_bid/trad_costumes_en.html — 3
  15. https://thekurds.net/ — 3
  16. http://lingvarium.org/ — 2
  17. https://lingvarium.org/ — 2
  18. https://commons.wikimedia.org/wiki/File:Basque_Country_Location_Map.svg — 2
  19. https://commons.wikimedia.org/wiki/File:Mapuche_du_Chili_et_d%27Argentine.gif — 2
  20. https://commons.wikimedia.org/wiki/File:Tlingit-map.png — 2

MapCopyright categorical

rows16,382
null0 (0.0%)
unique3
top_valueN
top_rate0.865
cardinality3
entropy0.613
entropy_ratio0.387
Top values (rank 1–20)
  1. N — 14,164
  2. — 2,100
  3. Y — 118

MapCCVersionText categorical

top value is 99.8% of rows
rows16,382
null0 (0.0%)
unique6
top_value
top_rate0.998
cardinality6
entropy0.026
entropy_ratio9.89e-03
Top values (rank 1–20)
  1. — 16,347
  2. CC0 1.0 — 17
  3. CC BY-SA 3.0 — 13
  4. CC BY 3.0 — 2
  5. CC BY 2.0 — 2
  6. CC BY-SA 4.0 — 1

MapCCVersionURL categorical

top value is 99.8% of rows
rows16,382
null0 (0.0%)
unique6
top_value
top_rate0.998
cardinality6
entropy0.026
entropy_ratio9.89e-03
Top values (rank 1–20)
  1. — 16,347
  2. https://creativecommons.org/publicdomain/zero/1.0/ — 17
  3. https://creativecommons.org/licenses/by-sa/3.0/ — 13
  4. https://creativecommons.org/licenses/by/3.0/ — 2
  5. https://creativecommons.org/licenses/by/2.0/ — 2
  6. https://creativecommons.org/licenses/by-sa/4.0/ — 1

JF categorical

rows16,382
null0 (0.0%)
unique2
top_valueY
top_rate0.660
cardinality2
entropy0.925
entropy_ratio0.925
Top values (rank 1–20)
  1. Y — 10,816
  2. N — 5,566

AudioRecordings categorical

rows16,382
null0 (0.0%)
unique2
top_valueY
top_rate0.823
cardinality2
entropy0.674
entropy_ratio0.674
Top values (rank 1–20)
  1. Y — 13,479
  2. N — 2,903

Window1040 categorical

rows16,382
null0 (0.0%)
unique2
top_valueY
top_rate0.523
cardinality2
entropy0.998
entropy_ratio0.998
Top values (rank 1–20)
  1. Y — 8,572
  2. N — 7,810

PeopleGroupMapURL text

100.0% rows are a single word 46.7% rows contain a URL 63.2% duplicate strings
rows16,382
null0 (0.0%)
unique6,029
len_min0
len_max66
len_mean29.916
len_median0.000
len_p9566.000
word_mean1.000
word_median1.000
n_empty8,728
n_duplicates10,353
duplicate_rate0.632
vocab_size6,028
readability_flesch_mean-329.112
emoji_rate0.000
url_rate0.467
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  2. https://joshuaproject.net/assets/media/profiles/maps/m22495_bm.png
  8. https://joshuaproject.net/assets/media/profiles/maps/m00081.png
  9. https://joshuaproject.net/assets/media/profiles/maps/m12620_cd.png
  10. https://joshuaproject.net/assets/media/profiles/maps/m18362_eg.png

PeopleGroupMapExpandedURL text

100.0% rows are a single word 41.8% rows contain a URL 66.1% duplicate strings
rows16,382
null0 (0.0%)
unique5,561
len_min0
len_max66
len_mean26.740
len_median0.000
len_p9566.000
word_mean1.000
word_median1.000
n_empty9,538
n_duplicates10,821
duplicate_rate0.661
vocab_size5,560
readability_flesch_mean-256.621
emoji_rate0.000
url_rate0.418
one_word_rate1.000
allcaps_rate0.000
boilerplate_rate0.000
Sample values (first 10)
  2. https://joshuaproject.net/assets/media/profiles/maps/m22495_bm.pdf
  9. https://joshuaproject.net/assets/media/profiles/maps/m12620_cd.pdf
  10. https://joshuaproject.net/assets/media/profiles/maps/m18362_eg.pdf

PeopleGroupURL text

100.0% of rows are unique strings 100.0% rows are a single word 100.0% rows contain a URL
rows16,382
null0 (0.0%)
unique16,382
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_size16,382
readability_flesch_mean-476.902
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/HA
  2. https://joshuaproject.net/people_groups/22495/BM
  3. https://joshuaproject.net/people_groups/13793/BN
  4. https://joshuaproject.net/people_groups/12511/CG
  5. https://joshuaproject.net/people_groups/14021/AS
  6. https://joshuaproject.net/people_groups/22585/LA
  7. https://joshuaproject.net/people_groups/15162/PP
  8. https://joshuaproject.net/people_groups/15414/IT
  9. https://joshuaproject.net/people_groups/12620/CD
  10. https://joshuaproject.net/people_groups/18362/EG

PeopleGroupPhotoURL text

100.0% rows are a single word 65.1% rows contain a URL 67.8% duplicate strings
rows16,382
null0 (0.0%)
unique5,277
len_min0
len_max68
len_mean42.322
len_median65.000
len_p9565.000
word_mean1.000
word_median1.000
n_empty5,719
n_duplicates11,105
duplicate_rate0.678
vocab_size5,276
readability_flesch_mean-585.557
emoji_rate0.000
url_rate0.651
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/p22495.jpg
  6. https://joshuaproject.net/assets/media/profiles/photos/p22585.jpg
  8. https://joshuaproject.net/assets/media/profiles/photos/p15414.jpg
  10. https://joshuaproject.net/assets/media/profiles/photos/p18362.jpg

CountryURL categorical

rows16,382
null0 (0.0%)
unique238
top_valuehttps://joshuaproject.net/countries/IN
top_rate0.138
cardinality238
entropy6.225
entropy_ratio0.788
Top values (rank 1–20)
  1. https://joshuaproject.net/countries/IN — 2,262
  2. https://joshuaproject.net/countries/PP — 883
  3. https://joshuaproject.net/countries/ID — 788
  4. https://joshuaproject.net/countries/PK — 775
  5. https://joshuaproject.net/countries/CH — 547
  6. https://joshuaproject.net/countries/NI — 535
  7. https://joshuaproject.net/countries/US — 496
  8. https://joshuaproject.net/countries/MX — 333
  9. https://joshuaproject.net/countries/BR — 321
  10. https://joshuaproject.net/countries/CM — 292
  11. https://joshuaproject.net/countries/BG — 278
  12. https://joshuaproject.net/countries/CA — 243
  13. https://joshuaproject.net/countries/CG — 231
  14. https://joshuaproject.net/countries/BM — 218
  15. https://joshuaproject.net/countries/AS — 205
  16. https://joshuaproject.net/countries/RP — 200
  17. https://joshuaproject.net/countries/SU — 198
  18. https://joshuaproject.net/countries/NP — 195
  19. https://joshuaproject.net/countries/LA — 184
  20. https://joshuaproject.net/countries/MY — 183

JPScaleText categorical

rows16,382
null0 (0.0%)
unique5
top_valueUnreached
top_rate0.435
cardinality5
entropy2.017
entropy_ratio0.869
Top values (rank 1–20)
  1. Unreached — 7,124
  2. Partially Reached — 3,636
  3. Significantly Reached — 3,200
  4. Superficially Reached — 1,413
  5. Minimally Reached — 1,009

JPScaleImageURL categorical

rows16,382
null0 (0.0%)
unique5
top_valuehttps://joshuaproject.net/assets/img/gauge/gauge-1.png
top_rate0.435
cardinality5
entropy2.017
entropy_ratio0.869
Top values (rank 1–20)
  1. https://joshuaproject.net/assets/img/gauge/gauge-1.png — 7,124
  2. https://joshuaproject.net/assets/img/gauge/gauge-4.png — 3,636
  3. https://joshuaproject.net/assets/img/gauge/gauge-5.png — 3,200
  4. https://joshuaproject.net/assets/img/gauge/gauge-3.png — 1,413
  5. https://joshuaproject.net/assets/img/gauge/gauge-2.png — 1,009

Summary text

75.3% rows are a single word 76.9% duplicate strings
rows16,382
null0 (0.0%)
unique3,778
len_min0
len_max1,212
len_mean137.670
len_median0.000
len_p95719.000
word_mean23.342
word_median1.000
n_empty12,328
n_duplicates12,604
duplicate_rate0.769
vocab_size24,964
readability_flesch_mean13.164
emoji_rate0.000
url_rate0.000
one_word_rate0.753
allcaps_rate0.000
boilerplate_rate1.22e-04
Sample values (first 10)
  8. Hundreds of years ago, the Wolof people conquered many tribes in the northwestern Senegal area. By the end of the 1300s, the Wolof had grown into a large empire of separate, self-governing states. By the 1500s, the empire had split into four major Wolof kingdoms. The French ex…
  9. The Kenga are a subgroup of the Hadjeray peoples. The Kenga are primarily farmers who attempt to cultivate the rocky ground of the region. Some, however, have moved to the cities and taken jobs in construction or in the government. The main crop grown is millet; but some cotton, …
  10. The Kharga are Bedouins who live in Egyptian desert areas west of the city of Alexandria. Bedouins live nomadic lifestyles, leading their camels, goats and sheep to sources of water and food. Governments discourage this type of life, as it makes collecting taxes difficult and nea…

Obstacles text

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Sample values (first 10)
  8. Though the Wolof people are officially Muslim, they usually don't lead lives that would be acceptable in Islamic cultures. Sexual promiscuity is so common that the best a woman can hope for is that her man gets regularly testing for AIDS.
  9. The Islamic religious system offers a strong deterrent to finding the only savior.
  10. Being a Muslim is part of the personal identity of the Bedouin. Nomadic peoples are some of the most challenging to reach with the gospel. Missionaries would have to follow the Kharga in their seasonal travels throughout the desert.

HowReach text

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Sample values (first 10)
  8. The Wolof and other African migrants to Italy need someone to teach them marketable skills for the work force. Believers can fill in this role, and give them the chance to meet active believers who share their faith.
  9. Increased mission efforts, additional laborers, Christian broadcasts, and evangelistic literature are greatly needed to effectively reach the Kenga tribe with the gospel. However, prayer is the first step toward seeing them reached.
  10. The JESUS Film is available in Libyan Arabic, the language of the Kharga. Teams of medical workers and veterinarians can demonstrate the love of Christ to the Kharga in practical ways.

PrayForChurch text

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Sample values (first 10)
  8. Pray for the small number of Wolof believers to have the courage to share the love of Christ with their own people and be strong through persecution. Ask the Lord to give the Wolof believers opportunities to share the love of Christ with their own people.

PrayForPG text

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Sample values (first 10)
  8. Pray for the translation of the Old Testament into Wolof. Pray for effectiveness of the JESUS Film, radio, and other evangelistic tools among the Wolof people. Pray that the Wolof people living in Italy would come to know God and return to their people as spiritual leaders. As…
  9. Aski the Holy Spirit to grant wisdom and favor to mission agencies that may be focusing on the Kenga people. Pray that God will call Christian teachers and medical workers to minister to the Kenga people. Ask God to raise up additional long-term missionaries to join the few who…
  10. Ask the Lord to send workers to the Kharga of Egypt. Ask the Lord to open the hearts of the Kharga leaders and elders to receive the good news about Jesus. Pray that Kharga leaders would investigate the claims of Christ. Ask the Lord to raise up a disciple making movement among t…

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