{
  "schema_version": "REFERENCE-1.0",
  "as_of": "2026-10-23",
  "item": {
    "id": "METHOD-0276",
    "kind": "METHOD",
    "title": "pandasで欠損値の分布を調べて補完方針を試す",
    "last_verified": "2026-10-23",
    "currentness": "VERIFIED_AS_OF",
    "revision": 1,
    "requirements": [
      "対象データへの権限",
      "接続先または入力ファイルを確認する",
      "原典と導入済みversionの対応を確認し、権限のある検証用入力・別の出力先を用意する"
    ],
    "suitable_for": "集計前に欠損の影響を調べる場面。",
    "unsuitable_for": "業務上の意味を確認せず欠損をすべてゼロにする用途。",
    "purpose": "pandasで欠損値の分布を調べて補完方針を試す",
    "composition": "pandas + Python",
    "shortest_path": [
      "入力と欠損の表現を確認する",
      "isnaで欠損を数え、別コピーで補完案を試す",
      "列の型・欠損件数と変更した値を照合する"
    ],
    "verification": "空文字・NULL相当・数値ゼロを区別し、元の値を保った比較ができることを確認します。",
    "coverage": [
      "data transformation"
    ],
    "canonical_url": "https://enterprise-ai-dictionary.com/reference/methods/method-0276",
    "retrieval": "FULL",
    "publication": "PUBLIC_NO_ADS",
    "index": "INDEX",
    "ads": "OFF",
    "link_policy": "DIRECT"
  },
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      "object_id": "METHOD-0276",
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    {
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      "predicate": "requires",
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      "scope_note": "検証・運用上の関連概念。製品の基本定義とは区別する。",
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      "object_id": "METHOD-0276",
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