Introduction to Data Visualization
Understanding the core principles of data visualization can help you to convey your message and create the most effective chart for your audience. Navigate through the two sections below to learn overall best practices and to recognize common pitfalls to avoid when creating or consuming data visualizations.
Understand Best Practices
Best practices for data visualization include ensuring clarity by simplifying complex data, using appropriate chart types, and focusing on key trends or insights. It’s also important to consider your audience, making the visuals accessible and avoiding unnecessary clutter to enhance understanding and engagement.
Fundamentals of Data Visualization
This book about data visualization fundamentals is available for free online.
Why is Data Visualization Important? What is Important in Data Visualization?
This article from Harvard Data Science Review discusses the importance of data visualization.
Visualization Support
Get help and training on data visualization through this service from the Harvard Library.
Diversity, Equity and Inclusion in Data Visualization (PDF)
This document outlines recommendations for applying equity awareness in data visualizations.
Digital Accessibility: Data Visualizations, Charts, and Graphs
Follow these guidelines to create data visualizations that are accessible to everyone.
Recognize Common Pitfalls
When creating data visualizations, it’s important to avoid traps such as using misleading scales, cluttering visuals with excessive details, or selecting inappropriate chart types that distort the data. These mistakes can confuse your audience and undermine the clarity and effectiveness of your message.
How to Spot Visualization Lies
This article is about approaching data visualizations critically.
Next Step
Click on the box below to learn more about creating data visualizations.