This example compares the distribution of rider points from the 2013 and 2014 Japan Cup races. It first scrapes startlists from procyclingstats.com using `rvest`, `magrittr`, and `XML`, extracting rider links via XPath and then fetching each rider’s points from a detail page. The scraped data is stored as CSV files, read with `read.csv`, labeled with a `year` column, and combined before being visualized with a dodged histogram using `ggplot2`’s `qplot`. The result shows point distributions for both years side by side, highlighting differences in scoring patterns.