How long should I wait for my bike?: This is a series of posts in which I set up a private server and interact with the Barcelona public bicycle system API. I’ve performed analysis of waiting times and I plan to add a live predictive model of waiting time for stations.
Analyzing “How I Met Your Mother”: In this blog post I scraped and analyzed the scripts of the American TV series “How I Met Your Mother”.
sqpr: (Github) Access the SQP API and adjust your estimations for measurement error
cimentadaj (Github): My personal package
Educational Inequality around the world: Visualize educational inequality for over 70 countries from 2000 to 2015 using this Shinyapp.
I translated some Stata code to R for the The Abdul Latif Jameel Poverty Action Lab (J-PAL) and was featured on their website.
In April 2016, together with Bruno Arpino and some colleagues from the RECSM, I organized a seminar series introducing R at Pompeu Fabra University. As part of the lectures I programmed some interactive lessons which can help get you started. These lessons assume that you have never used R and are self-standing lessons. Go to the Github repository: follow the instructions and you’ll be able to install everything and follow the courses. Note: Ignore the first lesson since it was a live presentation.