Open Dataset
Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
コンテキスト
シカゴを含むクック郡の法執行機関は、住民から、34セントの振出小切手から、推定価値が20万ドル以上の2010年型ロールス・ロイス・ゴーストまで、様々な品物を押収しました。また、Xboxコントローラー、テレビ、ヌンチャク、エンドウ豆缶12個、レンガストーンのカフリンク1組、および銃剣も押収しました。
-[Reason.com][2]
内容
このデータセットに関する文書類はあまり多くありませんでしたが、データフィールドはある程度説明的です。
- InventNumb:保管番号
- PolRptNumb:警察報告書番号
- INumber:?
- SeizeDate:押収日
- SeizeAddress:押収場所の住所
- SeizeCity:押収場所の都市
- SeizeState:押収場所の州
- SeizeZip:押収場所の郵便番号
- InvItemNumb:保管品目番号?
- Descr:品物の説明
- EstValue:品物の推定価値
- Vin:VIN番号?(車両)
- Findings:?
- ForfDate:没収日?
- ForfValue:没収価値?
- CaseNumb:事件番号
- AD:?
- ADDate:日付?
謝辞
このデータセットは、シカゴを拠点とする透明性を重視する非営利団体であるルーシー・パーソンズ・ラボによる[情報公開法(FOIA)][1]の申請の結果です。これには、イリノイ州クック郡(シカゴ)における資産の押収に関する情報が含まれています。
これらのデータは、Reason.comの記事で紹介され、イリノイ州クック郡の貧しい地域と裕福な地域での警察の押収の格差を示しています。
[http://reason.com/blog/2017/06/13/poor-neighborhoods-hit-hardest-by-asset][1]
[1]: http://reason.com/blog/2017/06/13/poor-neighborhoods-hit-hardest-by-asset
元のエクセルファイルはCSV形式に変換されました。
インスピレーション
このデータセットは情報公開法の申請から得られたものです。私はこのようなデータセットが好きです。なぜなら、新しい社会経済的な洞察を見つけ、政府の説明責任を向上させる可能性があるからです。
[1]: https://en.wikipedia.org/wiki/Freedom_of_Information_Act_(United_States)
[2]: http://reason.com/blog/2017/06/13/poor-neighborhoods-hit-hardest-by-asset
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