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

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

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

@theboysmithy did a [great piece](http://www.ft.com/intl/cms/s/0/6f777c84-322b-11e6-ad39-3fee5ffe5b5b.html) 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

On Whether Y-axis Labels Are Always Necessary

The infamous @albertocairo [blogged about](http://www.thefunctionalart.com/2016/06/propublica-visualizes-seasonality-in.html) a [nice interactive piece on German company tax avoidance](https://projects.propublica.org/graphics/dividend) by @ProPublica. Here’s a snapshot of their interactive chart: ![](https://2.bp.blogspot.com/-S-8bu1UdYWM/V1rXibnBxrI/AAAAAAAAGo0/L940SpU3DvUPX90JK82jrKQN6fWMyn2IACLcB/s1600/1prop.png) 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… Continue reading

New viridis & colorbrewer palettes for ipv4-heatmap

It’s no seekrit that I :heart: Hilbert curve heatmaps of IPv4 space. Real-world IPv4 maps (i.e. the ones that drop dots on the Earth) have little utility, but with Hilbert curves maps of IPv4 space many different topologies can be superimposed (from ASNs to—if need be—geographic locations). Plus, there’s more opportunity to find patterns by… Continue reading