This is a collection of Python, SQL, and R explanations for the Data Science 100 Knocks (Structured Data Processing).
参照(Reference) : 「データサイエンティスト協会スキル定義委員」の「データサイエンス100本ノック(構造化データ加工編)」
The Data Scientist Society Github :
Data Science 100 Knocks (Structured Data Processing) URL :
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Note: This is an ipynb file originally created by The Data Scientist Society(データサイエンティスト協会スキル定義委員) and translated from Japanese to English by DeepL.
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The reason I updated this file is to spread this practice, which is useful for everyone who wants to practice Python, SQL, R, from beginners to advanced engineers.
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Since this data was created for Japanese, you may face language problems when practicing. But do not worry, it will not affect much.
You can get preprocess_knock files to practice python, SQL, R from my github account
Data Science 100 Knocks (Structured Data Processing) – Python, SQL, R
Data Science 100 Knocks (Structured Data Processing) – Python
Data Science 100 Knocks (Structured Data Processing) – SQL
Data Science 100 Knocks (Structured Data Processing) – R
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