Why and how to declutter and simplify your data visualization

Episode 3

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:

• Clutter
• Mis-alignment
• Too many elements like
  • Colour
  • Fonts
  • Annotations
  • Header, subheader, sub-subheader
• “Unnecessary” annotations
  • File names
  • Source data
  • Program name
  • Validation status
• Understand gestalt principles
  • Proximity
  • Similarity
  • Enclosure
  • Continuity
  • Connection
  • Closure

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!