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
IPL 2020が白熱化しつつある中、これらの選手と彼らの成績を分析するのは理想的です。
データは最新情報で毎日更新されるため、試合を見逃すことはありません。
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内容
データには、チームの選手名簿や選手の統計などの基本情報が含まれていますが、それに加えて、ボールごとの結果とその解説も含まれています。
+自然言語処理の専門家は、解説データを確認することを強くおすすめしています。
# データを調べる方法は?
1. team_squads.csvを確認して、チームとチーム内の選手の全体像を把握します。
2. player_ststs.csvを確認して、これらの選手の詳細情報を取得します。
3. ipl_ball_to_ball_resultsにアクセスして、IPLのボールごとの結果を取得します。
4. その後、ipl_commentaryを確認して、試合中のボールに関連する解説を確認することができます。
注:ipl_ball_to_ball.csvのid列とipl_commentaryのidは関連付けられています。
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インスピレーション
データセットフォーラムで2020年用にデータを更新することについて議論しました。私は2020年に焦点を当て、その年のすべてのデータを提供することにしました。
https://www.kaggle.com/nowke9/ipldata/discussion/191279#1050760
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 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.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.