Данные

Проверка CSV

Проверяйте структурированные данные построчно и находите проблемы с Jev.

Noul + Choice

Валидация данныхCSVКачество данных
import.csv3 data rows

Header plus a few rows. The list example flags Alice's non-numeric age.

NameAgeEmail
John25[email protected]
Aliceabc[email protected]
Bob30[email protected]
Request sent to Jev

Clicking run posts this JSON to POST /api/playground. Sign in to run.

POST /api/playground
{
  "state": "Name,Age,Email\nJohn,25,[email protected]\nAlice,abc,[email protected]\nBob,30,[email protected]",
  "questions": {
    "row_2_valid": {
      "type": "noul",
      "instructions": "Is the second data row (Alice) valid?",
      "criteria": {
        "true": "Age is numeric and email format is plausible",
        "false": "At least one field fails validation"
      }
    },
    "issue_type": {
      "type": "choice",
      "instructions": "Primary issue type in this snippet",
      "criteria": {
        "type_error": "Wrong data type (e.g. non-numeric age)",
        "format_error": "Format error (e.g. invalid email)",
        "missing_value": "Required field empty",
        "none": "No major issues detected"
      }
    }
  }
}