{"version":"1.0","type":"rich","title":"Gist 836e6cd6c12eb7398f8b","description":"This example visualizes college football passing statistics from the 2014 season, showing relationships among metrics like passing yards, touchdowns, and rushing performance. It presents a scatterplot matrix of offensive variables, a horizontal bar chart of passing yards colored by conference, and a bar chart of average passing touchdowns per conference. The R code uses base plotting functions including `pairs`, `barplot`, and `legend`, with custom color mapping via nested `ifelse` statements to distinguish the 11 conferences. Data is loaded from a CSV file with `read.csv`, and aggregate means are calculated using `aggregate`.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-836e6cd6c12eb7398f8b?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}