Dot plot

6 posts
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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Graphical inequity ruins the chart

This Economist chart has a great concept but I find it difficult to find the story: (link) I am a fan of color-coding the text as they have done here so that part is good. The journalist has this neat idea of comparing those who are apathetic ("don't care about whether Britain is in or out") and those who are passionate ("strongly prefer" that Britain is either in or out)....

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Dot plots are under-valued, that’s all

Bar charts are over-used and over-rated. Just casually, I found this example at US News: Are you comparing bar widths? Or the printed data? Here is a dot plot:

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Lining up the dopers and their medals

The Times did a great job making this graphic (this snapshot is just the top half): A lot of information is packed into a small space. It's easy to compose the story in our heads. For example, Lee Chong Wai, the Malaysian badminton silver medalist, was suspended for doping for a short time during 2015, and he was second twice before the doping incident. They sorted the athletes according to...

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