Data Structure ?
19.05M
Data Structure ?
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README.md
これは2016 - 2017シーズンのNBAレギュラーシーズンのショットログで、チーム別に分類されています。
データセットにはショット種類、ショット距離、ショット角度、ショットを試みた選手、ショット時間、チーム名などが含まれています。
このデータはhttps://www.mysportsfeeds.com/ からスクレイピングしたものです。
私は、NBAの個々の選手のシュートの合理性について議論している2つの素敵な記事に出会いました。https://www.kaggle.com/selfishgene/kobe-bryant-shot-selection/psychology-of-a-professional-athlete https://www.kaggle.com/drgilermo/irrational-shot-selection 基本的な考え方は、NBA選手が1つのシュートを決めると、次に試みるシュートはより難しく、籃からより離れたものになりがちだというものです。では、チームについても同じことが言えるのでしょうか？チームが1つのシュートを決めた場合、次のシュートはより遠くで難しいものになるのでしょうか？個人は1つのシュートを決めた後に合理性を欠きがちですが、チームというグループはどうでしょうか？グループによる意思決定は個人の非合理性を補うことができるのでしょうか？
私はここに自分の分析についてのブログを書きました。https://haowang204.wordpress.com/2017/06/03/shooting-rationality-of-nba-teams/
Pythonのコードはここにアップロードされています。https://github.com/wh0801/NBA-shooting-rationality-2016-17-Regular-Season
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