Work Smarter, Not Harder, When Visualizing Data

Jun 13th, 2019 / Data Visualization
Esther C. Nolton attended one of my data visualization workshops in May 2019, and almost immediately followed up with examples of her own reports and slideshows that she had begun revamping based on what she learned in the session. Here In this guest post she outlines the three most used lessons that she took away from the workshop.
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Visualizing Your Annual Survey Results: Four Makeovers That Didn’t Work, and the Fifth That Did

Virtually every organization conducts satisfaction surveys of one kind or another. I’m going to show you the before version followed by five makeovers. The first makeover didn’t work. The second makeover didn’t work. The third makeover didn’t work. The fourth makeover didn’t work. Just as I was about to give up, I found a winning design with my fifth attempt!
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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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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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