Creating Data Visualizations

Last updated on 2024-05-16 | Edit this page

Overview

Questions

  • How do I choose a data visualization?
  • How do I help readers understand my data?
  • How do I visualize uncertainty and weird data?

Objectives

  • Compare different approaches to creating a data visualization.
  • Choose visual aesthetics (position, shape, color, size) appropriate for aspects of a dataset (quantity, label, etc.).
  • Demonstrate different approaches to showing uncertainty.
  • Contrast different visual strategies for outliers

Different data visualizations for a dataset

Challenge text, code, and other information goes here

Hints

Solution text, code, and other information

Takeaways

  • You can make your data visualization more accessible with appropriate design choices.
  • Your choices matter to your reader.