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Overplotting is a situation where there are too much data represented which causes elements to overlap and become unreadable

Overplotting is a situation where there are too much data represented which causes elements to overlap and become unreadable

Sep 29, 20251 min read

  • 🖿
  • topic/data-analysis/visualization

Overplotting is a situation where there are too much data represented which causes elements to overlap and become unreadable. It’s important to avoid overplotting because it helps us avoid clutter and make communication clear. Not to mention, The pooling of data points around specific numbers might suggest data integrity issues Faceting plots avoids the overplotting problem You can also Make data geometries semi-transparent to lessen the overplotting problem

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  • Faceting plots avoids the overplotting problem
  • Learning to visualize and narrate the data can also help you focus on the problem at hand rather than getting overwhelmed with the details
  • Make data geometries semi-transparent to lessen the overplotting problem
  • Plot data that is summarized by useful metrics to avoid the overplotting problem

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