Let’s not mix these polarized voters as the medians run away from one another

Long-time follower Daniel L. sent in a gem, by the Washington Post. This is a multi-part story about the polarization of American voters, nicely laid out, with superior analyses and some interesting graphics. Click here to see the entire article. Today's post focuses on the first graphic. This one: The key messages are written out on the 2017 charts: namely, 95% of Republicans are more conservative than the median Democrat,...

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Let’s not mix these polarized voters as the medians run away from one another

Long-time follower Daniel L. sent in a gem, by the Washington Post. This is a multi-part story about the polarization of American voters, nicely laid out, with superior analyses and some interesting graphics. Click here to see the entire article. Today's post focuses on the first graphic. This one: The key messages are written out on the 2017 charts: namely, 95% of Republicans are more conservative than the median Democrat,...

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Excel is the graveyard of charts, no!

It's true that Excel is responsible for large numbers of horrible charts. I just came across a typical example recently: This figure comes from Edward Wolff's 2012 paper, "The Asset Price Meltdown and the Wealth of the Middle Class." It's got all the hallmarks of Excel defaults. It's not a pleasing object to look at. However, it's also true that Excel can be used to make nice charts. Here is...

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Dataviz Seminar and other upcoming events

Please help me spread the word on several upcoming events. If you're coming, please say hi!   Data Visualization Seminar - JMP Explorers Series WHEN: October 4, 2017 , Wed, 9 am - 2:30 pm (ET)WHERE: New School, 63 5th Avenue, New YorkREGISTER HERE: Link In this seminar, I offer tips on making effective visualizations of data, summarizing over a dozen years of critiquing thousands of data graphics. PS. New...

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Storm story, a masterpiece

The visual story published by the New York Times on hurricane Irma is a masterpiece. See the presentation here. The story starts with the standard presentation of the trajectories of past hurricane on a map: Maps are great at conveying location and direction but much is lost in this rendering - wind speeds, time, strength, energy, to name but a few. The Times then switches to other chart forms to...

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Report from the NBA Hackathon 2017

Yesterday, I had the honor of being one of the judges at the NBA Hackathon. This is the second edition of the Hackathon, organized by the NBA League Office's analytics department in New York, led by Jason Rosenfeld, pictured here speaking to the crowd: The event was a huge draw - lots of mostly young basketball enthusiasts testing their hands at manipulating and analyzing data to solve interesting problems. I...

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Getting into the heads of the chart designer

When I look at this chart (from Business Insider), I try to understand the decisions made by its designer - which things are important to her/him, and which things are less important. The chart shows average salaries in the top 2 percent of income earners. The data are split by gender and by state. First, I notice that the designer chooses to use the map form. This decision suggests that...

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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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