Toolbox

I’m grateful to Andrew Dickinson for his advice on using Quarto to create this website!

Below are short tutorials on setting up Jupyter Notebook with R kernel, wrangling data with dplyr, visualizing data with ggplot2, doing geospatial analysis with sf, and performing regressions with fixest:

Setting up Jupyter Notebook with R kernel

Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text.…

Data wrangling with ‘dplyr’ in R

dplyr offers a simple and consistent code syntaxe for data manipulation. We provide here short examples of the key dplyr verbs: select(), filter(), arrange(), mutate(), summa…

Data visualization with ‘ggplot2’ in R

ggplot2 is a data visualization package widely used for creating sophisticated plots. It was developped by Hadley Wickham and is based on the Grammar of Graphics (gg), which…

Geospatial analysis with ‘sf’ in R

Applied econometrics with ‘fixest’ in R