Do you know why is it so important to create a simple yet informative data visualization?
How your design choices impact the visuals?
How small details – like text alignment – influence the overall visualization?
How gestalt principles guide you?
In episode 3 of this mini-series, I discuss the impact of simplified data visualization and how to achieve it. Specifically, I address these factors that affect your visualization:
- Too many elements like
- Header, subheader, sub-subheader
- “Unnecessary” annotations
- File names
- Source data
- Program name
- Validation status
- Understand gestalt principles
Learn more on how to create simple but effective data visualization by listening to this podcast and share this with others who might learn from it!
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