Heatmaps often make data analysis much easier. Yet, they can be further enriched with a simple modification.
A traditional heatmap represents the values using a color scale. Yet, mapping the cell color to numbers is still challenging.
Embedding a size component can be extremely helpful in such cases. In essence, the bigger the size, the higher the absolute value.
This is especially useful to make heatmaps cleaner, as many values nearer to zero will immediately shrink.
Find more details here: Seaborn Docs.
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Find the code for my tips here: GitHub.
I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn and Twitter.