The fine folks over at @ObservableHQ released a new javascript exploratory visualization library called Plot last week with great fanfare. It was primarily designed to be used in Observable notebooks and I quickly tested it out there (you can find them at my Observable landing page: https://observablehq.com/@hrbrmstr). {Plot} doesn’t require Observable, however, and I threw… Continue reading
Post Category → DataViz
COVID-19 U.S. County Vaccination Tracker With An Observable Notebook Using Datasettes and {Plot}
Rather than continue to generate daily images with R, I threw together an Observable notebook that takes advantage of the CDC COVID-19 county data datasette (provided by Simon Willison) and the new {Plot} library (by the @ObservableHQ team) that enables users to interactively see the daily county resident vaccination “series complete” percentage distribution. The full… Continue reading
‘data:’ Scraping & Chart Reproduction : Arrows of Environmental Destruction
Today’s RSS feeds picked up this article by Marianne Sullivan, Chris Sellers, Leif Fredrickson, and Sarah Lamdanon on the woeful state of enforcement actions by the U.S. Environmental Protection Agency (EPA). While there has definitely been overreach by the EPA in the past the vast majority of its regulatory corpus is quite sane and has… Continue reading
R⁶ — General (Attys) Distributions
Matt @stiles is a spiffy data journalist at the @latimes and he posted an interesting chart on U.S. Attorneys General longevity (given that the current US AG is on thin ice): Only Watergate and the Civil War have prompted shorter tenures as AG (if Sessions were to leave now). A daily viz: https://t.co/aJ4KDsC5kC pic.twitter.com/ZoiEV3MhGp —… Continue reading
Shuttering Pies With Retiring Stores
I caught this “gem” in the Wall Street Journal tonight: It’s pretty hard to compare store-to-store, even though it is fairly clear which ones are going-going-gone. If we want to see the relative percentage of each store closing and also want to see how they stack up against each other, then let’s make a column… Continue reading
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](http://www.people-press.org/2014/06/12/section-1-growing-ideological-consistency/#interactive) referenced in a [Tableau vis contest entry](https://www.interworks.com/blog/rrouse/2016/06/24/politics-viz-contest-plotting-political-polarization): Those are filled [frequency polygons](http://onlinestatbook.com/2/graphing_distributions/freq_poly.html), 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
Making “Time Rivers” in R
Once again, @albertocairo notices an interesting chart and spurs pondering in the visualization community with [his post](http://www.thefunctionalart.com/2016/06/defying-conventions-in-visualization.html) 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
A Call to Arms[list] Data Analysis!
The NPR vis team contributed to a recent [story](http://n.pr/1USSliN) 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](http://abcnews.go.com/Health/cdc-launched-comprehensive-gun-study-15-years/story?id=39873289) that there’s no way… Continue reading