Are Viewers Expecting a Story? Lightning Talk from the DATAcated Expo

Jan 11th, 2022 / Data Visualization
How do you modify a graph so that it’s just right for your audience? Surely a group of scientists will need something different from a group of policymakers. Some audiences adore data. Others don’t. Some audiences have plenty of time. Others don’t. In this blog post, you’ll learn about: the differences between default, traditional, and storytelling graphs; which techniques can help you tell a story with data (e.g., dark colors); and when to use each type of graph.
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Consolidate Redundant Tables and Graphs

We’ve all encountered redundant tables and graphs: You see a table. And then you see a graph nearby. You scan the table, and then you scan the graph, and then you scan the table again, zig-zagging your eyes around the screen and trying to figure out whether the table and graph are telling you the same information or whether they’re about two different topics entirely. Redundancies steal precious time from our days and force us to read two visuals instead of one—the table and the graph—when all we need is a single well-designed graph.
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How Data Visualization Supports Decision Making

Sep 10th, 2014 / Data Visualization
The only thing I love more than analyzing research data is analyzing personal finance data. Not too long ago, a friend was trying to decide whether to continue renting his current apartment or to purchase a similarly-sized condominium. I couldn’t make the decision for him, but I could help him crunch the numbers.
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