0.1 Objectives

By the end of this workshop, you should be able to:

  • Explain when, and why, to use a data visualization.
  • Describe common features of “good” data visualizations.
  • Identify principles of visual perception that can be used to make effective and expressive plots.
  • Compare the features and utility of various plot types.
  • Know where to go for more resources on making accessible and equitable data visualizations.

0.2 Prerequisites

This workshop is intended for researchers who are actively working with data. The material herein is designed to be tool-agnostic so you can apply these tips and theory to improve your data visualizations regardless of the software you’re using. While we will not be covering how to use specific computational tools for making plots, if you want to learn more about plotting sofware, check out the DataLab workshop archive for topics including ggplot for graphics in R, and our research toolkits for visualization library suggestions in Python and other programming languages.

0.3 About this Tutorial

This online workshop “reader” provides additional background information as a reference for learners to better understand and practice the concepts introduced during the live workshop session. This reader will persist at this url after the workshop.