Data

35 posts
Upcoming talks here and there

I'm giving a dataviz talk in San Ramon, CA on Thursday Nov 9. Go here to register. *** Then next Monday (Nov 13, 11 am), I will be in Boston at Harvard Business Review, giving a "live whiteboard session" on A/B Testing. This talk will be streamed live on Facebook Live. *** Finally, my letter to the editor of New York Times Magazine was published this past Sunday. This letter...

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Fifty-nine intersections supporting forty dots of data

My friend Ray V. asked how this chart can be improved: Let's try to read this chart. The Economist is always the best at writing headlines, and this one is simple and to the point: the rich get richer. This is about inequality but not just inequality - the growth in inequality over time. Each country has four dots, divided into two pairs. From the legend, we learn that the...

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Unintentional deception of area expansion #bigdata #piechart

Someone sent me this chart via Twitter, as an example of yet another terrible pie chart. (I couldn't find that tweet anymore but thank you to the reader for submitting this.) At first glance, this looks like a pie chart with the radius as a second dimension. But that is the wrong interpretation. In a pie chart, we typically encode the data in the angles of the pie sectors, or...

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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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Pints, water, fishes, pond

@apollo_0 on twitter asks me to comment on this, by Scientific Britain:   Here's my comment:  

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An enjoyable romp through the movies

Chris P. tipped me about this wonderful webpage containing an analysis of high-grossing movies. The direct link is here. First, a Trifecta checkup: This thoughtful web project integrates beautifully rendered, clearly articulated graphics with the commendable objective of bringing data to the conversation about gender and race issues in Hollywood, an ambitious goal that it falls short of achieving because the data only marginally address the question at hand. There...

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February talks, and exploratory data analysis using visuals

News: In February, I am bringing my dataviz lecture to various cities: Atlanta (Feb 7), Austin (Feb 15), and Copenhagen (Feb 28). Click on the links for free registration. I hope to meet some of you there. *** On the sister blog about predictive models and Big Data, I have been discussing aspects of a dataset containing IMDB movie data. Here are previous posts (1, 2, 3). The latest instalment...

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Chopped legs, and abridged analyses

Reader Glenn T. was not impressed by the graphical talent on display in the following column chart (and others) in a Monkey Cage post in the Washington Post: Not starting column charts at zero is like having one's legs chopped off. Here's an animated gif to show what's taking place: (you may need to click on it to see the animation) Since all four numbers show up on the chart...

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Sorting out the data, and creating the head-shake manual

Yesterday's post attracted a few good comments. Several readers don't like the data used in the NAEP score chart. The authors labeled the metric "gain in NAEP scale scores" which I interpreted to be "gain scores," a popular way of evaluating educational outcomes. A gain score is the change in test score between (typically consecutive) years. I also interpreted the label "2000-2009" as the average of eight gain scores, in...

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Teaching Data Journalism In China

I’ve just returned from a week in China, teaching data journalism to students from all over the country at Fudan University (sponsored by the U.S. China Education Trust). Helped by a fabulous co-instructor, Yan Lu, we taught them about acquiring data, data wrangling, storytelling, visualization, SQL, mapping, news apps and more. The students, working journalists and professors, were quite impressive. Working in groups, they created several data-driven projects of their...

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