Decomposing Composers with R

The intrepid @ma_salmon cranked out another blog post, remixing classical music schedule data from Radio Swiss Classic. It’s a fun post and you should read it before continuing here. Seriously, click the link and go read it before continuing. No, I mean it. Click the link or the rest of this makes no sense ;-)… Continue reading

Come Fly With Me (well, not really) — Comparing Involuntary Disembarking Rates Across U.S. Airlines in R

By now, word of the forcible deplanement of a medical professional by United has reached even the remotest of outposts in the #rstats universe. Since the news brought this practice to global attention, I found some aggregate U.S. Gov data made a quick, annual, aggregate look at this soon after the incident: Overall annual boarding… Continue reading

Simple Offline Airport Wi-Fi Tracker in R

@visualisingdata rebroadcast this tweet today: Wireless Passwords From Airports And Lounges Around The World— deb verhoeven (@bestqualitycrab) April 2, 2017 The Google Maps interface is a bit meh and the “formatted” data is also a bit meh but the data is useful when travelling (NOTE: always use a VPN in airports on both your… Continue reading

Superclassing to R⁶

To avoid “branding” confusion with R⁴ I’m superclassing it to R⁶ and encouraging others in the R community to don the moniker and do their own small, focused posts on topics that would help the R community learn things. Feel free to use R⁶ (I’ll figure out an acronym later). Feel free to tag your… Continue reading

R⁶ — Snow Day Facets

Back in 2014 I blogged about first snowfall dates for a given U.S. state. It’s April 1, 2017 and we’re slated to get 12-18″ of snow up here in Main and @mrshrbrmstr asked how often this — snow in May — has occurred near us. As with all of these “R⁶ posts, expository is minimal and… Continue reading