Data Visualization: Visualization Types

This guide from University of Illinois Urbana-Champaign Library goes over four of the most commonly used: bar charts, line charts, pie charts, and scatter plots. Each tab will explain how to make a successful chart, including what kinds of data you can show, common mistakes to avoid, and ways to improve the chart's accessibility.

This guide from Duke University Libraries provides an instruction to common visualization types by data dimensionality: 1D/linear, 2D/planar, 3D/volumetric, temporal, nD/multidimensional, tree/hierarchical, and network.

The Data Visualisation Catalogue is a project developed by Severino Ribecca to create a (non-code-based) library of different information visualisation types. The website serves as a learning and inspiration resource for those working with data visualisation.

Search chart types by function (comparison, distribution, trend over time) and input (type and format of variables).