As part of the Developing Data Products class at Coursera, we’ve been encouraged to share our R Shiny apps on twitter using the #myDataProduct hashtag! I tweeted mine and blogged about it already. I’ve also blogged about word clouds in R. And lo and behold, someone did both! @dscorzoni combined Shiny and word clouds into a nifty little app that takes a URL and generates a word cloud from it! How cool!!

I’m finally getting into GitHub, partially thanks to Coursera’s Data Science specialization, which requires it. Anyway, I blogged about my twitter bot, @AllTheLanguages, here and here, and now you can download, fork, watch, star, or whatever it is that kids do on GitHub to code here.

A few weeks ago, I posted about how to build a twitter bot. I wish it stopped there. Unfortunately, all code has bugs (ahem, I mean, features). There are two bugs in my code. The first one I understand, and could probably fix if I tried, but I haven’t because it’s probably more trouble than it’s worth. The second one I don’t understand, but I do know how to fix it. More »

A few months ago, I created a bot on Twitter. @AllTheLanguages tweets a new language from the Ethnologue database once every hour or so, and will do so for about a year. Give or take. Sometimes the bot goes down and I have to reboot it. And there are some other bugs too. But more on that in another post…

When I tell people that I made a twitter bot, the first thing they ask (after “why?”) is “how?” Well, today, I’m going to answer that! Why? Because it was fun! How? Well, it’s complicated… More »