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2 cards from this section. Quick, good the night before a test.
What is a heatmap used for?
Think about how colors can show differences in data values.
Name one tool you can use to create heatmaps.
Consider popular Python data visualization libraries.
What is the primary purpose of a heatmap?
Think about what type of insights heatmaps provide.
True or False: Seaborn is a Python library exclusively for web-based visualizations.
Consider where Seaborn's primary applications are found.
Given a dataset with at least ten features, create a heatmap using Seaborn to visualize correlations and interpret at least three insights from it.
Look for color intensity; darker colors indicate stronger correlations.
How might you utilize heatmaps to improve feature selection while building a predictive model? Provide a structured approach.
Consider which features add value versus those that overlap significantly.
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