color

46 posts
Visualizing black unemployment in the U.S.

In a prior post, I explained how the aggregate unemployment rate paints a misleading picture of the employment situation in the United States. Even though the U3 unemployment rate in 2019 has returned to the lowest level we have seen in decades, the aggregate statistic hides some concerning trends. There is an alarming rise in the proportion of people considered "not in labor force" by the Bureau of Labor Statistics...

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Designs of two variables: map, dot plot, line chart, table

The New York Times found evidence that the richest segments of New Yorkers, presumably those with second or multiple homes, have exited the Big Apple during the early months of the pandemic. The article (link) is amply assisted by a variety of data graphics. The first few charts represent different attempts to express the headline message. Their appearance in the same article allows us to assess the relative merits of...

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The elusive meaning of black paintings and red blocks

Joe N, a longtime reader, tweeted about the following chart, by the People's Policy Project: This is a simple column chart containing only two numbers, far exceeded by the count of labels and gridlines. I look at charts like the lady staring at these Ad Reinhardts:   My artist friends say the black squares are not the same, if you look hard enough. Here is what I learned after one...

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How the pandemic affected employment of men and women

In the last post, I looked at the overall employment situation in the U.S. Here is the trend of the "official" unemployment rate since 1990. I was talking about the missing 100 million. These are people who are neither employed nor unemployed in the eyes of the Bureau of Labor Statistics (BLS). They are simply unrepresented in the numbers shown in the chart above. This group is visualized in my...

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The missing 100 million: how the pandemic reveals the fallacy of not in labor force

Last Friday, the U.S. published the long-feared employment situation report. It should come as no surprise to anyone since U.S. businesses were quick to lay off employees since much of the economy was shut down to abate the spread of the coronavirus. I've been following employment statistics for a while. Chapter 6 of Numbersense (link) addresses the statistical aspects of how the unemployment rate is computed. The title of the...

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Twitter people UpSet with that Covid symptoms diagram

Been busy with an exciting project, which I might talk about one day. But I promised some people I'll follow up on Covid symptoms data visualization, so here it is. After I posted about the Venn diagram used to depict self-reported Covid-19 symptoms by users of the Covid Symptom Tracker app (reported by Nature), Xan and a few others alerted me to Twitter discussion about alternative visualizations that people have...

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Make your color legend better with one simple rule

The pie chart about COVID-19 worries illustrates why we should follow a basic rule of constructing color legends: order the categories in the way you expect readers to encounter them. Here is the chart that I discussed the other day, with the data removed since they are not of concern in this post. (link) First look at the pie chart. Like me, you probably looked at the orange or the...

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Whither the youth vote

The youth turnout is something that politicians and pundits bring up constantly when talking about the current U.S. presidential primaries. So I decided to look for the data. I found some data at the United States Election Project, a site maintained by Dr. Michael McDonald. The key chart is this one: This is classic Excel. *** Here is a quick fix: The key to the fix is to recognize the...

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Bad data leave chart hanging by the thread

IGNITE National put out a press release saying that Gen Z white men are different from all other race-gender groups because they are more likely to be or lean Republican. The evidence is in this chart: Or is it? Following our Trifecta Checkup framework (link), let's first look at the data. White men is the bottom left group. Democratic = 42%, Independent = 28%, Republican = 48%. That's a total...

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Pie chart conventions

I came across this pie chart from a presentation at an industry meeting some weeks ago: This example breaks a number of the unspoken conventions on making pie charts and so it is harder to read than usual. Notice that the biggest slice starts around 8 o'clock, and the slices are ordered alphabetically by the label, rather than numerically by size of the slice. The following is the same chart...

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