Tag archive for Audience - page 2

How to Objectively Measure Text Readability (and Lower Your Graph’s Reading Level)

How to Objectively Measure Text Readability (and Lower Your Graph’s Reading Level)

If viewers can’t read your graph, why bother making it? Accessibility is at the top of my priority list. A lot of things go into a data visualization’s readability, including: the graph type you select (3D exploding pie charts with 999 slices are inherently hard…

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Six Reasons You Need Good Visuals in Your Presentations

Six Reasons You Need Good Visuals in Your Presentations

I love Echo Rivera’s enthusiasm and humor towards communicating scientific results. I’m often asked to talk about why visuals are so powerful, and I reached out to Echo to get her take. I know you’ll enjoy her article. She even has a free starter pack with…

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Will You Present the Data As-Is, or Tell a Story?

Will You Present the Data As-Is, or Tell a Story?

Viewer considerations are key: What type of information do your viewers need to see? What information do they already have? What information are they expecting? How many points in time should be included? Will you present aggregated or disaggregated findings? How long do you anticipate…

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Axis Labels, Numeric Labels, or Both? Line Graph Styles to Consider

Axis Labels, Numeric Labels, or Both? Line Graph Styles to Consider

Data visualization is more about strategic thinking than about following steadfast rules. Take a simple line graph, for example. How will you label your line graph? With vertical axis labels and light gray grid lines? With labels directly above or on top of the data…

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How Many Decimal Places Are Helpful?

How Many Decimal Places Are Helpful?

How many decimal places does your graph actually need? 2, 1 or 0 decimal places? Most of my projects are in the social sciences. Social science measurement is not exact. We’re often creating instruments and tools from scratch to gather information. There are no rulers,…

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