Creating Data Visualizations
Before you visualize your data, you should take the time to think about who your audience is and what message you are trying to convey to them. After you understand your message clearly, you can start to build your visualization. Chart picking tools can be useful at this stage to frame your idea and determine what type of chart might best convey your message.
Choosing the Right Chart Type
Choosing the right chart type is crucial for effectively communicating your data, as it should align with the message you want to convey.
Visualising Data
A reference guide for various visualization tools
Qualitative Chart Chooser (PDF)
A reference sheet for choosing chart types for qualitative data
Financial Times Visual Vocabulary
A comprehensive poster that shows ways to visualize data
FlowingData Chart Types
An inventory of major chart types with examples and tutorials
Using Color in Data Visualization
Using color in data visualizations enhances clarity and draws attention to key patterns, differences, or trends in the data. Thoughtful color choices can help guide the viewer’s focus and make the visualization more engaging and easier to understand.
Digital Accessibility at Harvard
A comprehensive portal that explains considerations for digital accessibility and includes accessibility checkers and other resources
Next Step
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