Data Science 100 Knocks (Structured Data Processing) – Python Part3 (Q41 to Q60)

I may have misspoken when explaining. If there are any missed explanation,
please point it out m(_ _)m

This is the third part of practicing Data Science 100 Knocks (Structured Data Processing) Python.

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 :

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.

The reason I updated this file is to spread this practice, which is useful for everyone who wants to practice Python, from beginners to advanced engineers. 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.