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How to avoid common mistakes in data visualization?

2025-09-09 1.6 K

A guide to avoiding the pitfalls of professional graphic design

The following common problems can be prevented by utilizing DataLine's intelligent calibration feature:

  • data distortion: The system will automatically detect and prompt:
    • Coordinate axis truncation (by red warning mark)
    • Inappropriate chart types (e.g., showing more than 7 categories in a pie chart)
    • Visual errors due to 3D charts
  • visual confusion: When the "Smart Beautify" feature is turned on, it will be automatically:
    1. Optimize color contrast (ensure color blindness recognition)
    2. Adjusting label density (avoiding overlap)
    3. Add necessary baselines
  • Performance issues: When processing more than 100,000 rows of data:
    • Automatically enable sample preview mode
    • Provide recommendations for aggregation calculations (e.g., converting detail data to daily granularity)
    • Warning for filtering operations on unindexed fields

It is recommended to turn on the "Design Assistant" panel when creating charts, which will provide real-time ratings and suggestions for improvement. For critical reports, you can use the "Compare Versions" function to save multiple designs first.

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