Heatmaps
Explore how to create and interpret heatmaps using Seaborn in Python. Understand how color-coded data visualization helps reveal trends and improves data analysis clarity. This lesson guides you through reshaping data and adding annotations to enhance insight extraction.
We'll cover the following...
We'll cover the following...
Introduction
Wherever data needs to be displayed efficiently, and in a comprehensible manner, heatmaps are used. They visualize trends in data perfectly and enable us to analyze what to do next.
A heatmap uses different colors to display data, while other plotting methods either use height or width parameters for it. Specific colors in varying concentrations are applied to different values of data depending on their ...