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Series

Working with Categorical Data in Python

Working with Categorical Data in Python": Harness the power of Python to efficiently analyze and manipulate categorical data, unlocking valuable insights and enabling informed decision-making.

Articles in this series

Introduction to Categorical Data

Jul 5, 20233 min read

Base on DataCamp · Introduction What does it mean to be "categorical"? Categorical Finite number of groups (or categories) These categories are usually...

Introduction to Categorical Data

Categorical pandas Series

Aug 26, 20233 min read

Base on DataCamp · Setting category variables The .cat accessor object Series.cat.method_name Common parameters: new_categories: a list of...

Categorical pandas Series

Visualizing Categorical Data

Aug 30, 20233 min read

Base on DataCamp · Introduction to categorical plots using seaborn Categorical plot import seaborn as sns import matplotlib.pyplot as...

Visualizing Categorical Data

Pitfalls and Encoding

Sep 9, 20233 min read

Base on DataCamp · Categorical pitfalls Using categories can be frustrating Using the .str accessor object to manipulate data converts the Series to an...

Pitfalls and Encoding