Data visualization is the process of presenting information using visuals such as plots, charts, and diagrams. The goal of data visualization is to help your audience understand the main message of your data without introducing additional clutter. In many cases, easy-to-read forms of visualization, such as bar and pie charts, are sufficient to present your message. However, sometimes the data you want to show might be more nuanced, so more advanced visuals can help. This toolkit will introduce you to various data visualization types, starting from the simplest and progressing to more advanced options.
The toolkit includes three components: a guide, a spreadsheet, and instructions. This guide offers tips for selecting appropriate visualizations and explains more complex visuals like boxplots, spider plots, and heatmaps. It is accompanied by a spreadsheet with sample data and visualizations, meant to be used alongside the plot- by-plot instructions. The goal is for learners to use the guide, spreadsheet, and instructions to practice selecting and creating visualizations.
