Blog Archives

Bridging The Political [Polygons] Gap with ggplot2

July 7, 2016
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Bridging The Political [Polygons] Gap with ggplot2

The @pewresearch folks have been collecting political survey data for quite a while, and I noticed the visualization below referenced in a Tableau vis contest entry: Those are filled frequency polygons, which are super-easy to replicate in ggplot2, especially since Pew even kind of made the data available via their interactive visualization (it’s available in... Continue reading →

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A Simple Prediction Web Service Using the New fiery Package

July 5, 2016
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fiery is a new Rook/httuv-based R web server in town created by @thomasp85 that aims to fill the gap between raw http & websockets and Shiny with a flexible framework for handling requests and serving up responses. The intent of this post is to provide a quick-start to using it setup a prediction API service.... Continue reading →

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Making “Time Rivers” in R

June 28, 2016
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Making “Time Rivers” in R

Once again, @albertocairo notices an interesting chart and spurs pondering in the visualization community with his post covering an unusual “vertical time series” chart produced for the print version of the NYTimes: I’m actually less concerned about the vertical time series chart component here since I agree with TAVE* Cairo that folks are smart enough... Continue reading →

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A Call to Arms[list] Data Analysis!

June 19, 2016
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A Call to Arms[list] Data Analysis!

The NPR vis team contributed to a recent story about Armslist, a “craigslist for guns”. Now, I’m neither pro-“gun” or anti-“gun” since this subject, like most heated ones, has more than two sides. What I am is pro-data, and the U.S. Congress is so deep in the pockets of the NRA that there’s no way... Continue reading →

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Your data vis “Spidey-sense” & the need for a robust “utility belt”

June 16, 2016
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Your data vis “Spidey-sense” & the need for a robust “utility belt”

@theboysmithy did a great piece on coming up with an alternate view for a timeline for an FT piece. Here’s an excerpt (read the whole piece, though, it’s worth it): Here is an example from a story recently featured in the FT: emerging- market populations are expected to age more rapidly than those in developed... Continue reading →

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On Whether Y-axis Labels Are Always Necessary

June 12, 2016
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On Whether Y-axis Labels Are Always Necessary

The infamous @albertocairo blogged about a nice interactive piece on German company tax avoidance by @ProPublica. Here’s a snapshot of their interactive chart: Dr. Cairo (his PhD is in the bag as far as I’m concerned :-) posited: Isn’t it weird that the chart doesn’t have a scale on the Y-axis? It’s not the first... Continue reading →

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Global Temperature Change in R & D3 (without the vertigo)

May 14, 2016
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Global Temperature Change in R & D3 (without the vertigo)

This made the rounds on social media last week: Spiraling global temperatures from 1850-2016 (full animation) https://t.co/YETC5HkmTr pic.twitter.com/Ypci717AHq— Ed Hawkins (@ed_hawkins) May 9, 2016 One of the original versions was static and was not nearly as popular, but—as you can see—this one went viral. Despite the public’s infatuation with circles (I’m lookin’ at you, pie... Continue reading →

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New #rstats Podcast – R World News

May 10, 2016
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Keeping up with R-related news on Twitter, GitHub, CRAN & even R-Bloggers (et al) can be an all-encompassing task that may be fun, but doesn’t always make it easy to get work done. There is so much going on in the R community that we (myself and @jayjacobs) felt there was room for another podcast... Continue reading →

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Pining for the fjoRds & monitoring SSL/TLS certificate expiration in R with flexdashboard

May 1, 2016
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Rumors of my demise have been (almost) greatly exaggerated. Folks have probably noticed that #52Vis has stalled, as has most blogging, package & Twitter activity. I came down with a nasty bout of bronchitis after attending rOpenSci Unconf 16 (there were so many people hacking up a storm in SFO!) and then... Continue reading →

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(ggplot2) Exercising with (ggalt) dumbbells

April 17, 2016
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(ggplot2) Exercising with (ggalt) dumbbells

I follow the most excellent Pew Research folks on Twitter to stay in tune with what’s happening (statistically speaking) with the world. Today, they tweeted this excerpt from their 2015 Global Attitudes survey: The age gap in social media use around the world https://t.co/0Dq1PcbExG pic.twitter.com/9HBM7gLxwR— PewResearch Internet (@pewinternet) April 17, 2016 I thought it might... Continue reading →

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