Big news, from the 13th till the 27th June Jumping Rivers will be running 6 courses on R in Hamburg!!. It should be noted that each course runs for one day, apart from the Predictive Analytics course, which runs for 2 days. The courses are as follows:
Read more about R Courses in Hamburg
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.
Read more about eRum Competition Winners
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.
Read more about The Water Hub Hackathon; We won!
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.
Read more about Regular Expressions Every R programmer Should Know
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.
Read more about ReCoding the Wall: Mixing art and code
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.
Read more about Which world leaders are twitter bots?
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