Data Structure ?
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Data Structure ?
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README.md
コンテキスト:
米国では、通常の日でも警察官が5万回以上の交通取り締まりを行っています。スタンフォード・オープン・ポリシング・プロジェクトのチームは、全国の法執行機関による数百万件の交通取り締まりの記録を収集、分析、公開しています。彼らの目標は、研究者、ジャーナリスト、政策立案者が警察と市民とのやり取りを調査し改善するのを支援することです。
他の州に関するデータを見たい場合は、https://www.kaggle.com/stanford-open-policing にアクセスしてください。
内容:
このデータセットには、2010年以降のテキサス州の2GB以上の取り締まりデータが含まれています。利用可能なフィールドの詳細については、データのREADMEを参照してください。
謝辞:
このデータセットは、[スタンフォード・オープン・ポリシング・プロジェクト][1]によって好意的に提供されています。研究論文でこのデータセットを使用する場合は、彼らの[作業論文][2]を引用してください。
E. Pierson, C. Simoiu, J. Overgoor, S. Corbett - Davies, V. Ramachandran, C. Phillips, S. Goel. (2017) “A large - scale analysis of racial disparities in police stops across the United States”.
着想:
- 取り締まり率はどの程度予測可能ですか？確実に取り締まりが行われる時間と場所はありますか？
- 一部の自治体が民事没収を麻薬密売との適切な戦いではなく資金源として利用しているという懸念が提起されています。このような行動を示している可能性のある自治体を特定できますか？
[1]: https://openpolicing.stanford.edu/
[2]: https://5harad.com/papers/traffic - stops.pdf
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- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
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