Dot plot

51 posts
Excel is the graveyard of charts, no!

It's true that Excel is responsible for large numbers of horrible charts. I just came across a typical example recently: This figure comes from Edward Wolff's 2012 paper, "The Asset Price Meltdown and the Wealth of the Middle Class." It's got all the hallmarks of Excel defaults. It's not a pleasing object to look at. However, it's also true that Excel can be used to make nice charts. Here is...

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The salaries are attractive but the chart isn’t

The only reason why the IEEE Spectrum magazine editors chose this chart form is because they think they need to deliver precise salary figures to readers. This chart is just so... sad. The color scheme is all wrong, the black suggesting a funeral. The printed data occupying at least half of the width of each bar frustrate any attempt to compare lengths. We enter an unusual place where higher numbers...

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Visualizing electoral college politics: exercise in displaying relationships between variables

Reader Berry B. sent in a tip quite some months ago that I just pulled out of my inbox. He really liked the Washington Post's visualization of the electoral college in the Presidential election. (link) One of the strengths of this project is the analysis that went on behind the visualization. The authors point out that there are three variables at play: the population of each state, the votes casted...

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Some like it packed, some like it piled, and some like it wrapped

In addition to Xan's "packed bars" (which I discussed here), there are some related efforts to improve upon the treemap. To recap, treemap is a design to show parts against the whole, and it works by packing rectangles into the bounding box. Frequently, this leads to odd-shaped rectangles, e.g. really thin and really tall ones, and it asks readers to estimate relative areas of differently-scaled boxes. We often make mistakes...

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Reorientation in the French election

Financial Times has this chart up about the voters for the National Front, which is Marie Le Pen's party. I find the chart very hard to decipher, even though I usually like the dot plot format. The first thing to figure out is not visual. It's a definition of the data. The average voter represents those who voted in the 2015 regional election. The National Front voters are those who...

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Your charts need the gift of purpose

Via Twitter, I received this chart: My readers are nailing it when it comes to finding charts that deserve close study. On Twitter, the conversation revolved around the inversion of the horizontal axis. Favorability is associated with positive numbers, and unfavorability with negative numbers, and so, it seems the natural ordering should be to place Favorable on the right and Unfavorable on the left. Ordinarily, I'd have a problem with...

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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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February talks, and exploratory data analysis using visuals

News: In February, I am bringing my dataviz lecture to various cities: Atlanta (Feb 7), Austin (Feb 15), and Copenhagen (Feb 28). Click on the links for free registration. I hope to meet some of you there. *** On the sister blog about predictive models and Big Data, I have been discussing aspects of a dataset containing IMDB movie data. Here are previous posts (1, 2, 3). The latest instalment...

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Lines that delight, lines that blight

This WSJ graphic caught my eye. The accompanying article is here. The article (judging from the sub-header) makes two separate points, one about the total amount of money raised in IPOs in a year, and the change in market value of those newly-public companies one year from the IPO date. The first metric is shown by the size of the bubbles while the second metric is displayed as distances from...

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