Web scraping consists in extracting data from websites. Here we will scrape results from the Luxembourg local elections 2017.
Read more →One of my journalist friend was looking at the result of the local election in Luxembourg and he was dissatisfied because he was unable to compare the results of all the communes. In fact, he wanted to compare the number of women that were candidates in each commune. So I asked him to hold on and I came back one hour later with this script that enables him to collect results of all communes in one table.
Model interpretation is essential in the social sciences. If one wants to know the effect of variable x on the dependent variable y, marginal effects are an easy way to get the answer.
Read more →Model interpretation is essential in the social sciences. If one wants to know the effect of variable x on the dependent variable y, marginal effects are an easy way to get the answer. STATA includes a margins command that has been ported to R by Thomas J. Leeper of the London School of Economics and Political Science. You can find the source code of the package on github. In this short blog post, I demo some of the functionality of margins.
Read more →pre code, pre, code { white-space: pre !important; overflow-x: scroll !important; overflow-y: scroll !important; word-break: keep-all !important; word-wrap: initial !important; height:25vh !important; } p img{ width:100%; !important; } -- Hello everyones,
I just finished my MOOC on Foundations of strategic business analitycs. It was interresting and at the end of this course, I had to present a graph that was suppose to be relevent for a business organization.
The idea of this blog post is to show how to create graphs using ggplot2, but by grouping by a factor variable beforehand.
Read more →Update: I’ve included another way of saving a separate plot by group in this article, as pointed out by @monitus. Actually, this is the preferred solution; using dplyr::do() is deprecated, according to Hadley Wickham himself.
I’ll be honest: the title is a bit misleading. I will not use purrr that much in this blog post. Actually, I will use one single purrr function, at the very end. I use dplyr much more.
by Kevin Rosamont
