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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Home Visiting Dataviz: Three Steps to Making a Good Graph Great

Apr 26th, 2018 / Data Visualization
Whether you’re visiting a web site or a listening to a presentation, you’ve probably thought about data visualization as a helpful way to digest complex information. At its best, “data viz” communicates data simply and efficiently using a combination of graphs, graphics, and other forms of design. So what makes a good graph great?
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Removing Redundancies from My Old Graphs

Feb 28th, 2017 / Data Visualization
Data visualizers who critique others before critiquing themselves make me gag, so I opened my recent keynote with a trip down memory lane. Check out this beauty from one of my earliest jobs. I’ve anonymized it but 99.9% of my work from this period had this look and feel, i.e., an overly-labeled graph that I made in Excel and pasted directly into Word without any editing at all.
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