pandas for Python - A Quick Guide - Data Transformation

This video tutorial covers the conversion of data to categorical data types using pandas. It explains how to convert string data to categories and discretize continuous variables. The tutorial highlights the advantages of using categorical data, such as reduced memory usage and enabling comparison operations. It also demonstrates the process of discretizing continuous variables into categorical variables using the pandas cut function.

What is categorical data type in pandas and why is it important?

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How can you find the frequency of each label in a categorical column?

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What method can be used to convert a column to categorical data type?

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Explain the advantages of converting string data to categorical data.

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What is discretization and how is it applied to continuous variables?

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Describe the process of using the cut function to categorize salary data.

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How does converting to categorical data reduce memory usage?

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