Human beings are visual learners therefore, visualizing the data in any form makes more sense. HeatMaps is about replacing numbers with colors because the human brain understands visuals better than numbers, text, or any written data. This color variation gives visual cues to the readers about the magnitude of numeric values. The color maps use hue, saturation, or luminance to achieve color variation to display various details. Heatmaps visualize the data in a 2-dimensional format in the form of colored maps. Exploratory data analysis (EDA) with the heatmap Hands on using corrplot from biokitĢ0. Generating colormap from seaborn Palletesġ9. Create a default Heatmap using Seabornġ7. Best Practices of using HeatMaps Hands-On using Python Seabornġ4. Photo by Simon Migaj on Unsplash Index: ConceptsĨ.
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