Guide to Data Visualization Formats *FREE download*
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What you’ll find inside
Data visualization — visual elements like charts, graphs, maps, etc. — gives users a compelling, intuitive way to quickly see and understand facts, trends and patterns of information.
And as our attention spans become ever shorter, the need to enable and inform data-driven decisions is more important than ever. People won’t read six paragraphs, but they’ll spend a minute looking at a chart.
That’s because our eyes and brain are naturally drawn to the visual — shapes, colors, patterns. The job of a visualization is to catch a user’s interest, focus their attention and communicate quickly. If that person can look at a chart and see patterns, trends or outliers — and at the same time get a sense for what those things mean to them, how their world is impacted, then the visualization is useful.
If you’ve ever had to stare down a massive spreadsheet packed with data but couldn’t figure out what any of it meant to you, then you understand just how important the right format can be.
Every story you’re trying to tell with a visualization is different and unique, which means that some formats will tell that story more quickly, clearly and effectively than others.
So if you’ve ever wondered what the best way to visually represent a specific data set might be, my FREE Guide to Data Visualization Formats is here to help.
This handy reference guide walks you through 18 different data visualization formats — from bar graphs to bubble charts to tree diagrams — and explains when (and why) you should use each format.