Tetiana Donska dives deep in an article about data visualization and the psychology behind it. She gives an overview of the common mistakes that chart creators make.

Presenting data visually accelerates our perception and helps to reduce cognitive load. — Tetiana Donska

Here are some tips:

  1. Common scale is easier to parse since we use spatial reference every day.
  2. Grids of charts are easy to analyze if the scale is consistent.
  3. Differences in length (mainly bar charts) are easily recognized.
  4. Add a line to a chart so that effects jump out.
  5. Angles (such as in pie charts) are harder to process.
  6. A second directional attribute (such as the area of a circle) makes comparison more difficult.
  7. 3D shapes don't add value.
  8. Heatmaps are intuitive due to color differences but nuanced comparison is difficult.
  9. Use a single color for emphasis.
  10. Applying Gestalt theory to your color use will clarify the data.

This article has particularly good graphics so we recommend you click through to check it out in detail!

Exploring Data Visualization Psychology
Data visualization is a great way to tell a story about data. But are there best practices? When designing with data, there is much to be gained from exploring data visualization psychology. #dashboard #datavisualization #business #design #ux

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