Blog

eRum Competition Winners

The results of the eRum competition are in! Before we announce the winners we would like to thank everyone who entered. It has been a pleasure to look at all of the ideas on show. The Main Competition. The winner of the main competition is Lukasz Janiszewski.

The Water Hub Hackathon; We won!

Well well well, we’ve only gone and won The Water Hub hackathon! Well, joint winners but the main word is WINNER. First of all we want to say thank you to all the guys at the Water Hub and the Sunderland Software Centre for organising and inviting.

Regular Expressions Every R programmer Should Know

Regular expressions. How they can be cruel! Well we're here to make them a tad easier. To do so we're going to make use of the {stringr} package. We're going to use the str_detect() and str_subset() functions. In particular the latter. str_detect() is used to detect whether a string contains a certain pattern.

ReCoding the Wall: Mixing art and code

At Jumping Rivers we often collaborate with the local community. This includes attending regional events such as those run by Creative FUSE, a partnership between the North East’s five universities. I recently attended an event at the National Glass Centre called ReCoding the Wall.

Which world leaders are twitter bots?

Given that I do quite like twitter, I thought it would be a good idea to right about R’s interface to the twitter API; {rtweet}. As usual, we can grab the package in the usual way. We’re also going to need the {tidyverse} for the analysis, {rvest} for some initial webscraping of twitter names, {lubridate} for some date manipulation and {stringr} for some minor text mining.

Edinbr: Text Mining with R

During a very quick tour of Edinburgh (and in particular some distilleries), Dave Robinson (Tidytext fame), was able to drop by the Edinburgh R meet-up group to give a very neat talk on tidy text. The first part of the talk set the scene: What does does text mean? Why make text tidy? What sort of problems can you solve?