This is the code used to scrape, manipulate, plot and present NHL goaltender Carey Price's carreer statistics to investigate whether he really does win more often on Saturday nights.
Data is scraped from www.hockeyreference.com using RSelenium. The R code to accomplish this is found in scrape_data.R.
This script pulls the data and stores it in the object data_storage/raw_tables.rds. For convenience, the results
of this scrape as of March 19, 2017 are already in this repo at the same file path.
Data is processed making heavy use of the data.table R package. The code to do this is found in process_data.R.
This script begins with the file at data_storage/raw_tables.rds and populates many R objects into data_storage/.
The html presentation file and all of the plots are generated using knitr and Rmarkdown. This code can be found
in the file writeUp.Rmd. This script calls process_data.R, and uses the results to automatically generate up-to-date
graphics and analyses.
To reproduce the presentation from scratch, and ensure the data is up to date, one must just run scrape_data.rds
and then knit writeUp.Rmd/. It's probably easiest to do this using RStudio, but it can be done using R from the
command line as well.