Introduction to Heatmaps
Explore the basics of creating heatmaps using D3.js by drawing grids that use color variations to represent data differences. Understand how color scales help visualize complex datasets, such as household incomes, making it easier to see patterns and activity levels within data.
We'll cover the following...
The first project for this section is to draw a heatmap. Heatmaps are a way to present data by using color. Color is used to show the difference between different pieces of data. The color variation may be by hue or intensity. This gives the reader an idea of how data varies from one another. Here is an example of a heatmap.
Heatmaps are drawn with squares organized in a grid. We can read the data of this visualization by looking at the colors. This heatmap will show how often a GitHub user contributes to a repository. Grey areas indicate little to no contributions, whereas a dark shade of green indicates a lot of contributions.
This heatmap gives us an idea of how active a developer is. As you can see from this chart, the developer was very active in May. It is very easy to tell because of how dark the ...