Dot plot

57 posts
Election visuals 2: informative and playful

In yesterday's post, I reviewed one section of 538's visualization of its election forecasting model, specifically, the post focuses on the probability plot visualization. The visualization, technically called  a pdf, is a mainstay of statistical graphics. While every one of 40,000 scenarios shows up on this chart, it doesn't offer a direct answer to our topline question. What is Nate's call at this point in time? Elsewhere in their post,...

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Putting vaccine trials in boxes

Bloomberg Businessweek has a special edition about vaccines, and I found this chart on the print edition: The chart's got a lot of white space. Its structure is a series of simple "treemaps," one for each type of vaccine. Though simple, such a chart burns a few brain cells. Here, I've extracted the largest block, which corresponds to vaccines that work with the virus's RNA/DNA. I applied a self-sufficiency test,...

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This chart shows why the PR agency for the UK government deserves a Covid-19 bonus

The Economist illustrated some interesting consumer research with this chart (link): The survey by Dalia Research asked people about the satisfaction with their country's response to the coronavirus crisis. The results are reduced to the "Top 2 Boxes", the proportion of people who rated their government response as "very well" or "somewhat well". This dimension is laid out along the horizontal axis. The chart is a combo dot and bubble...

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Working with multiple dimensions, an example from Germany

An anonymous reader submitted this mirrored bar chart about violent acts by extremists in the 16 German states. At first glance, this looks like a standard design. On a second look, you might notice what the reader discovered- the chart used two different scales, one for each side. The left side (red) depicting left-wing extremism is artificially compressed relative to the right side (blue). Not sure if this reflects the...

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What is the price for objectivity

I knew I had to remake this chart. The simple message of this chart is hidden behind layers of visual complexity. What the analyst wants readers to focus on (as discerned from the text on the right) is the red line, the seven-day moving average of new hospital admissions due to Covid-19 in Texas. My eyes kept wandering away from the line. It's the sideway data labels on the columns....

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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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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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Reviewing the charts in the Oxford Covid-19 study

On my sister (book) blog, I published a mega-post that examines the Oxford study that was cited two weeks ago as a counterpoint to the "doomsday" Imperial College model. These studies bring attention to the art of statistical modeling, and those six posts together are designed to give you a primer, and you don't need math to get a feel. One aspect that didn't make it to the mega-post is...

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