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guide · 5 min read

9 Chart Design Tips That Make Data Look Credible

People judge charts in half a second — long before they read a number. These nine habits separate charts that persuade from charts that get screenshots and doubt.

  1. Start the y-axis at zero (for bars). Truncated axes are the #1 credibility killer. Line charts may start elsewhere when the story is change, not magnitude.
  2. Write a title that states the finding. "Churn fell 40% after the redesign" beats "Churn by month, 2024-2026". The chart answers; the title asks the question.
  3. Limit colors to one accent. Highlight the bar that matters; gray the rest. Rainbow palettes imply meaning that usually isn't there.
  4. Label directly when possible. Value labels on bars and points beat forcing readers to squint at an axis.
  5. Cap your categories. 5-12 bars, 3-6 pie slices, 5-15 line points. More than that, aggregate into "Other" or split charts.
  6. Sort with intent. Bars sorted by value (not alphabet) make the ranking instantly visible. Time series stay chronological.
  7. Round numbers on axes. "1.2k / 2.4k / 3.6k" reads faster than "1237 / 2441 / 3612".
  8. One chart, one message. If you're explaining two things, use two charts.
  9. Export at 2× resolution. A crisp chart signals care; a blurry one undermines the data behind it. (GPT Chart exports at 2× by default.)

Apply all nine in one place: paste your data into the GPT Chart tool, pick the right chart type, choose a restrained palette, and download a crisp PNG. That's a deck-ready chart in under a minute.