Data labels

15 posts
Shocker: ease of use requires expanding, not restricting, choices

Recently, I noted how we have to learn to hate defaults in data visualization software. I was reminded again of this point when reviewing this submission from long-time reader & contributor Chris P. The chart is included in this Medium article, which credits Mott Capital Management as the source. Look at the axis labels on the right side. They have the hallmarks of software defaults. The software designer decided that...

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A pretty good chart ruined by some naive analysis

The following chart showing wage gaps by gender among U.S. physicians was sent to me via Twitter: The original chart was published by the Stat News website (link). I am most curious about the source of the data. It apparently came from a website called Doximity, which collects data from physicians. Here is a link to the PR release related to this compensation dataset. However, the data is not freely...

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Sorting out what’s meaningful and what’s not

A few weeks ago, the New York Times Upshot team published a set of charts exploring the relationship between school quality, home prices and commute times in different regions of the country. The following is the chart for the New York/New Jersey region. (The article and complete data visualization is here.) This chart is primarily a scatter plot of home prices against school quality, which is represented by average test...

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Confuse, confuses, confused, confusing

Via Twitter, @Stoltzmaniac sent me this chart, from the Economist (link to article): There is simply too much going on on the right side of the chart. The designer seems not to be able to decide which metric is more important, the cumulative growth rate of vehicles in use from 2005 to 2014, or the vehicles per 1,000 people in 2014. So both set of numbers are placed on the...

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Much more to do after selecting a chart form

I sketched out this blog post right before the Superbowl - and was really worked up as I happened to be flying into Atlanta right after they won (well, according to any of our favorite "prediction engines," the Falcons had 95%+ chance of winning it all a minute from the end of the 4th quarter!) What I'd give to be in the SuperBowl-winning city the day after the victory! Maybe...

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An enjoyable romp through the movies

Chris P. tipped me about this wonderful webpage containing an analysis of high-grossing movies. The direct link is here. First, a Trifecta checkup: This thoughtful web project integrates beautifully rendered, clearly articulated graphics with the commendable objective of bringing data to the conversation about gender and race issues in Hollywood, an ambitious goal that it falls short of achieving because the data only marginally address the question at hand. There...

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Mapping the two Americas

If you type "two Americas map" into Google image search, you get the following top results: Designers overwhelmingly pick the choropleth map as the way to depitct the two nations. Now, look at these maps from the New York Times (link): and this: I believe the background is a relief map. Would like to see one where the color is based on the strength of support for Democrats or Republicans....

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A Tufte fix for austerity

Trish, who attended one of my recent data visualization workshops, submitted a link to the Illinois Atlas of Austerity. Shown on the right is one of the charts included in the presentation. This is an example of a chart that fails my self-sufficiency test. There is no chance that readers are getting any information out of the graphical elements (the figurines of 100 people each). Everyone who tries to learn...

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What doesn’t help readers (on the chart) and what does help (off the chart)

Via Twitter, Bart S (@BartSchuijt) sent me to this TechCrunch article, which contains several uninspiring charts. The most disturbing one is this: There is a classic Tufte class here: only five numbers and yet the chart is so confusing. And yes, they reversed the axis. Lower means higher "app abandonment" and higher means lower "app abandonment". The co-existence of the data labels, gridlines, and axis labels increases processing time without...

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The state of the art of interactive graphics

Scott Klein's team at Propublica published a worthy news application, called "Hell and High Water" (link) I took some time taking in the experience. It's a project that needs room to breathe. The setting is Houston Texas, and the subject is what happens when the next big hurricane hits the region. The reference point was Hurricane Ike and Galveston in 2008. This image shows the depth of flooding at the...

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