These scripts for the R programming language download nominal housing prices from the Observatoire de l'Habitat and tidy them up into a flat data frame.
- save_data.R: downloads, cleans, and creates data frames from the data
- analysis.R: creates plots of the data
The aim is to build a fully functional and complete Reproducible Analytical Pipeline (RAP). I hope to continue the skills I learn from this in my own professional work.
New:
The goal of RAP.BrunoR.nosync is to …
You can install the development version of RAP.BrunoR.nosync from GitHub with:
# install.packages("devtools")
devtools::install_github("JT-39/RAP_BrunoR")This package contains functions to get, clean and analyse housing price data for Luxembourg.
library(RAP.BrunoR.nosync)