Fantasy Football Data Visualization:

I will include data visualizations for my fantasy football league here. I will probably use R and Shiny to make the visualizations reactive and a Python script will be used to scrape for pseudo real-time scores. For now, click on the static images to see them in full size:

Figure 1. Comparison of the weekly team scores with headshots as data points for each division. The crown denotes the League Champion, whereas the scary ceramic doll's face denotes the League Loser.

Weekly team scores

Figure 2. Comparison of the East and West Divisions with weekly mean scores and standard error bars.

Mean division scores

Figure 3. Cumulative Points For vs. Points Against.

Points For vs. Points Against

Figure 4. Cumulative team mean score with standard error bars and win-loss records.

team mean score with win loss records

To do:
1. Figure out fantasy football API options so that results for plotting are pseudo real-time OR write a Python script to try to scrape from ESPN.
2. Determine each team's players from ESPN.
3. Censor team names.
4. Upload headshots, use facial recognition, background deletion, and save as png with transparent background.
5. Design the interface to load the page and then load specific figures once selected.