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.