Blog Archives

R⁶ — Using pandoc from R + A Neat Package For Reading Subtitles

April 30, 2017
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R⁶ — Using pandoc from R + A Neat Package For Reading Subtitles

Once I realized that my planned, larger post would not come to fruition today I took the R⁶ post (i.e. “minimal expository, keen focus) route, prompted by a Twitter discussion with some R mates who needed to convert “lightly formatted” Microsoft Word (docx) documents to markdown. Something like this: to: This is definitely a job... Continue reading...

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Shuttering Pies With Retiring Stores

April 21, 2017
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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...

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When Homoglyphs Attack! Generating Phishing Domain Names with R

April 17, 2017
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It’s likely you’ve seen the news regarding yet-another researcher showing off a phishing domain attack. The technique is pretty simple: find a target domain you want to emulate register a homoglpyh version of it use the hacker’s favorite tool, Let’s Encrypt to serve it up with a nice, shiny green lock icon deploy some content... Continue reading...

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

April 13, 2017
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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...

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R⁶ — RStudio Server Client? Make An App For That!

April 7, 2017
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RStudio is a great way to work through analyses tasks, and I suspect most folks use the “desktop” version of the product on their local workstations. The fine folks at RStudio also make a server version (the codebase for RStudio is able to generate server or desktop and they are generally in 100% feature parity... Continue reading...

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Simple Offline Airport Wi-Fi Tracker in R

April 2, 2017
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@visualisingdata rebroadcast this tweet today: Wireless Passwords From Airports And Lounges Around The World https://t.co/OV0WJfwj8E— 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...

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Superclassing to R⁶

April 1, 2017
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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...

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All-in on R⁴ : Progress [bars] on first post

March 27, 2017
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@eddelbuettel’s idea is a good one. (it’s a quick read…jump there and come back). I often wait for a complete example or new package announcement to blog something when a briefly explained snippet might have sufficient utility for many R users. Also, tweets are fleeting and twitter could end up on the island of misfit... Continue reading...

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Exploring 2017 Retail Store Closings with R

March 19, 2017
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Exploring 2017 Retail Store Closings with R

A story about one of the retail chains (J.C. Penny) releasing their list of stores closing in 2017 crossed paths with my Feedly reading list today and jogged my memory that there were a number of chains closing many of their doors this year, and I wanted to see the impact that might have on... Continue reading...

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Making a Case for case_when

March 10, 2017
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This is a brief (and likely obvious, for some folks) post on the dplyr::case_when() function. Part of my work-work is dealing with data from internet scans. When we’re performing a deeper inspection of a particular internet protocol or service we try to capture as much system and service metadata as possible. Sifting through said metadata... Continue reading...

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