Heatmap Basics with Seaborn

A guide for how to create heatmaps with Matplotlib and Seaborn

The idea is straightforward, replace numbers with colors.

Now, this visualization style has come a long way from simple color-coded tables. It became widely used with geospatial data. Its commonly applied for describing the density or intensity of variables, visualizing patterns, variance, and even anomalies.

Correlation Matrix — Composition of a sample of Cereals