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

The Most Important Commodity in 2017 is Data

Despite being in cybersecurity nigh forever (a career that quickly turns one into a determined skeptic if you’re doing your job correctly) I have often trusted various (not to be named) news sources, reports and data sources to provide honest and as-unbiased-as-possible information. The debacle in the U.S. in late 2016 has proven (to me)… 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