Heatmap - an overview

What is it for?

Ideal for visually representing relationships between values using color-coding, the heatmap template plots the magnitude of a phenomenon with the help of color in one or two dimensions. By being able to handle categorical and numerical data, as well as offering filtering and customizable popups, it a one-stop solution for visualizing relational data.

How to get started

The first step is to select a blueprint in the template chooser. You can choose between a heatmap with categorical data, one with numerical data and a heatmap with a built-in filter. Note that you can easily switch between them through settings even after you have made your selection.

As the heatmap is essentially a time-tested way to present relations using matrices between values in two dimensions, you need data for the X axis, the Y axis and for the Values that "bind" them together. You can upload them to the data sheet and bind the columns to the relevant column bindings. You can also add an optional column which will act as a filter and/or multiple columns which contain extra information you want to include in popups.

If something does not look right, it is possible that you need to change the type of data for the X and/or the Y axis, as the heatmap can accommodate both numerical and categorical data.

Conversely, choose between a categorical and a numeric color palette according to the data that "binds" your axes together.

In case you need a filter, add the column containing the data you want to filter on in the Filter data binding.

It is also possible to customize the filter toggle through the Controls settings.