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What does your data look like? (II)

In the previous exercise you looked at the distribution of individual columns. While this is a good start, a more detailed view of how different features interact with each other may be useful as this can impact your decision on what to transform and how.

This exercise is part of the course

Feature Engineering for Machine Learning in Python

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Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import packages
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# Plot pairwise relationships
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# Show plot
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Edit and Run Code