Data Structure ?
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Data Structure ?
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README.md
毎年の終わりに、Spotifyはその年に最も多くストリーミングされた曲のプレイリストを作成します。今年のプレイリスト（2018年のトップトラック）には100曲が含まれています。問題は、これらのトップ曲に共通点は何があるのか、人々がなぜそれらを好むのかということです。
**元のデータソース：** 各曲のオーディオ特徴は、Spotify Web APIとspotipy Pythonライブラリを使用して抽出されました。オーディオ特徴の値の計算については、Spotifyに功績があります。
**データの説明：** データセットには1つの.csvファイル（top2018.csv）があります。このファイルには以下が含まれています。
- 曲のSpotify URI
- 曲名
- 曲のアーティスト
- 曲のオーディオ特徴（ダンス性、テンポ、キーなど）
- オーディオ特徴の詳細な説明は、メタデータタブにあります。
**データの探索：** データを使ってできることのいくつかの提案です。
- 曲のオーディオ特徴のパターンを探しましょう。なぜ人々がこれらの曲を最も多くストリーミングするのでしょうか。
- 他のオーディオ特徴に基づいて、あるオーディオ特徴を予測してみましょう。
- どの特徴が最も相関しているかを見てみましょう。
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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.
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