Data Structure ?
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Data Structure ?
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README.md
文脈
シーズンが終了し、現在はすでにプレーオフのバスケットボールが本格化しています。私は2018 - 19シーズンのMVPを予測するために、何らかの方法でデータを入手できるかどうか調べてみたいと思いました。簡単に検索したところ、[basketball - reference](https://www.basketball-reference.com)で1968 - 69シーズンから過去のシーズンまでのすべてのMVP投票結果を見つけました。スクレイパーを作成してデータを取得しました。また、現在のシーズンのデータも取得しました。ただし、メディアがリーグのMVPを選出し始めた1980 - 81シーズンから現在までのデータのみをスクレイピングしました。
内容
`mvp_votings.csv`は学習データを表しています。様々なバスケットボールの統計データが含まれています。統計データの一部の説明は、私の[ミディアムの記事](https://towardsdatascience.com/predicting-2018-19-nbas-most-valuable-player-using-machine-learning-512e577032e3)で確認できます。回帰分析の目的変数は`award_share`列で、これは選手が獲得した投票の割合を表しています。
謝辞
すべてのデータはbasketball referenceが所有しており、私はいずれのデータも所有していません。
画像は[nba.com](https://www.nba.com/video/2019/03/25/james - harden - giannis - antetokounmpos - top - plays - season)のものです。
着想
MVPを決める最も重要な統計データは何ですか？
今シーズンのMVP予想はどうですか？
最も重要な特徴量は年々どのように変化しましたか？
チームの勝率が他のすべての特徴量とともにどれだけの影響を与えるのでしょうか？
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