Legend

56 posts
Verging on trust

I’m not quite done with that Verge survey on social media popularity. Last time, I discussed one of the stacked bar charts about how much users like or dislike specific brands such as Facebook and Twitter. Today, I look at the very first chart in the article. This chart supposedly says users trust Amazon the most among those technology brands, just about the same level as customers trust their bank....

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Using a bardot chart for survey data

Aleks J. wasn't amused by the graphs included in Verge's report about user attitudes toward the major Web brands such as Google, Facebook, and Twitter. Let's use this one as an example: Survey respondents are asked to rate how much they like or dislike the products and services from each of six companies, on a five-point scale. There is a sixth category for "No opinion/Don't use." In making this set...

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Details, details, details: giving Zillow a pie treatment

This chart (shown right), published by Zillow in a report on housing in 2012, looks quite standard, apparently avoiding the worst of Excel defaults. In real estate, it’s all about location. In dataviz, it’s all about details. What are some details that I caught my eye on this chart? Readers have to get over the hurdle that “negative equity” is the same as “underwater homes.” This is not readily understood...

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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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Another simple Excel chart needs help

Twitter friend Jimmy A. asked if I can help Elon Musk make this chart "more readable". Let's start with a couple of things he did right. Placing SpaceX, his firm's data, at the bottom of the chart is perfect, as the bottom part of a stacked column chart is the only part that is immediately readable. Combining all of Europe into one category and Other U.S. into one group reduce...

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Canadian winters in cold gray

I was looking at some Canadian data graphics while planning my talk in Vancouver this Thursday (you can register for the free talk here). I love the concept behind the following chart: Based on the forecasted temperature for 2015 (specifically the temperature on Christmas Eve), the reporter for National Post asked whether the winter of 2015 would be colder or warmer than the winters on record since 1990. The accompanying...

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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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Why is this chart so damn hard to read?

My summer course on analytical methods is already at the midway point. I was doing some research on recommendation systems the other day, and came across the following chart: Ouch. This is from the Park, et. al. (2012) survey of research papers on this subject. It's the 21st century, people. The column chart copies the older-generation Excel design made infamous by Tufte, and since abandoned. Looking more closely, I suspect...

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Members Only: Adding Legends in R

Make sure you explain your visual encodings so that others can interpret them. Read More

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Where but when and why: deaths of journalism

On Twitter, someone pointed me to the following map of journalists who were killed between 1993 and 2015. I wasn't sure if the person who posted this liked or disliked this graphic. We see a clear metaphor of gunshots and bloodshed. But in delivering the metaphor, a number of things are sacrificed: the number of deaths is hard to read the location of deaths is distorted, both in large countries...

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