Principles of Good Data Visualization

Great visuals transform complex data into insights people feel and remember. Follow these key principles:

Clarity First

Strip away clutter. Use simple chart types that match your message—bar for comparisons, line for trends, scatter for relationships.

Accuracy & Integrity

Start scales at zero when appropriate, label axes clearly, and avoid distorted proportions that could mislead your audience.

Context Matters

Provide titles, legends, and concise annotations so viewers instantly understand the story behind the numbers.

Purposeful Design

Use color to highlight important data points, keep fonts consistent, and leave enough white space for breathing room.

Audience Awareness

Tailor the level of detail to your audience—executives want high-level takeaways, analysts may need deeper metrics.

Actionable Insights

Every chart should answer a question or drive a decision. If it doesn’t, it’s decoration.

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