Stephanie D.H. Evergreen's Blog, page 3

How to Rock the Text in your Data Visualization

You only get a little bit of text in your graph. Here's how to make sure you get the most mileage out of it.

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An Appropriate Level of Precision

How many decimal places do you really need? The level of precision in your data visualization depends entirely on your audience.

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The Fourth Purpose of a Dashboard

We try to please too many audience needs in the same screenshot and then no one is happy and the dashboard dies a slow, expensive death.

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When You’ve Gotta Graph 62 Counties

or countries or students or departments or... you just have a lot of categories to squeeze into your chart. How to proceed without creating a hot mess?

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Show Your Symbols

People interpret symbols as pictures, not words. That makes symbols, like $, more instantly recognized and understood than words, like dollar.

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Can AI Write Great Chart Titles?

I gave two AI tools - ChatGPT and Gemini - two simple datasets and asked them to generate insightful titles.

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Graphing Qualitative Data

Announcing a free class on visualizing qualitative data - plus my chart chooser with 22 qual viz options.

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How Much Data Viz is Too Much

How much is "too much?" I'm sure you've seen that eye glaze from time to time. The answer is actually deceptively simple.

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Ways to Visualize Statistical Significance

If you've passed the two criteria for communicating statistical significance, here are four ideas for ways to indicate it in your data visualizations.

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Three Dots

Use your chart title to communicate a takeaway idea. What if your takeaway idea is complex or multi-part? Employ three dots.

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