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Course Project: NFL Passing Yards Visualization
This interactive scatter plot visualizes NFL quarterback statistics from the 2023 season, using data from a CSV file that includes passing yards and various performance metrics. A D3 scatter plot maps selected attributes onto x and y axes, with dropdown menus allowing users to compare any two numeric attributes. Points are color-coded based on player awards, including Pro Bowl, All-Pro, and MVP honors. The visualization uses d3-scale functions for axes and includes a legend to clarify the award color coding.
AI-generated descriptionNFL 2023 Passing Yard Stats from: https://www.pro-football-reference.com/years/2023/passing.htm
Five Possible Tasks: <br> The following lists five possible data visuaulization tasks that can be done with the NFL 2023 Passing Yards dataset following the {action, target} paradigm.
- Identify players that are outliers with respect to winning an award
- Discover the correlation between the number of times sacked and quarterback rating (QBR)
- Compare the passing statistics of each teams primary quarterback (i.e. started a majority of the games)
- Derive the passing statistics for players who did not start all 17 regular season games (i.e. adjust them on a per-game basis and multiply by 17)
- Identify non-quarterback players who recorded passing statistics