Data labels

21 posts
Fantastic visual, but the Google data need some pre-processing

Another entry in the Google Newslab data visualization project that caught my eye is the "How to Fix It" project, illustrating search queries across the world that asks "how." The project web page is here. The centerpiece of the project is an interactive graphic showing queries related to how to fix home appliances. Here is what it looks like in France (It's always instructive to think about how they would...

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Lines, gridlines, reference lines, regression lines, the works

This post is part 2 of an appreciation of the chart project by Google Newslab, advised by Alberto Cairo, on the gender and racial diversity of the newsroom. Part 1 can be read here. In the previous discussion, I left out the following scatter bubble plot. This plot is available in two versions, one for gender and one for race. The key question being asked is whether the leadership in...

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The tech world in which everyone is below average

Laura pointed me to an infographic about tech worker salaries in major tech hubs (link). What's wrong with this map? The box "Global average" is doubly false. It is not global, and it is not the average! The only non-American cities included in this survey are Toronto, Paris and London. The only city with average salary above the "Global average" is San Francisco Bay Area. Since the Bay Area does...

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Governor of Maine wants a raise

In a Trifecta checkup, this map scores low on the Q corner: what is its purpose? What have readers learned about the salaries of state governors after looking at the map? (Link to original) The most obvious "insights" include: There are more Republican governors than Democratic governors Most Democratic governors are from the coastal states There is exactly one Independent governor Small states on the Eastern seaboard is messing up...

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A long view of hurricanes

This chart by Axios is well made. The full version is here. It's easy to identify all the Cat 5 hurricanes. Only important ones are labeled. The other labels are hidden behind the hover. The chart provides a good answer to the question: what time of the year does the worst hurricanes strike. It's harder to compare the maximum speeds of the hurricanes. I wish there is a way to...

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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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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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This one takes time to make, takes even more time to read

Reader Matt F. contributed this confusing chart from Wired, accompanying an article about Netflix viewing behavior.  Matt doesn't like this chart. He thinks the main insight - most viewers drop out after the first episode - is too obvious. And there are more reasons why the chart doesn't work. This is an example of a high-effort, low-reward chart. See my return-on-effort matrix for more on this subject. The high effort...

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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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