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In data analysis and machine learning, creating dummy variables is a common preprocessing step, especially when dealing with categorical data. Dummy variables are binary columns representing different categories of a categorical variable. In this tutorial, we'll explore how to create dummy variables using a loop in Python.
Let's create a sample DataFrame with a categorical column.
Now, let's create dummy variables for the 'Category' column using a loop.
Get Unique Categories:
Create Dummy Variables:
Drop Original Column:
Now, you have successfully created dummy variables for categorical data using a loop in Python. This technique is scalable and can be applied to larger datasets with more categories.
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