数据

CSV 校验

逐行校验结构化数据并用 Jev 发现潜在问题。

Noul + Choice

数据校验CSV数据质量
import.csv3 行数据

表头加几行即可。列表示例会标出 Alice 年龄非数字。

NameAgeEmail
John25[email protected]
Aliceabc[email protected]
Bob30[email protected]
这次发给 Jev

点运行时，站点把这份 JSON 发到 POST /api/playground。运行需要登录。

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"
      }
    }
  }
}