For this project, I used a Martini Glass narrative visualization structure. I began with author-driven content for the first 3 scenes (specifically including only statistics that I thought best determined which player was the most valuable to his team) and ended with reader-driven content by allowing the reader to compare the top performers this year based on other metrics that were in the dataset.
Scenes: In the second scene, we see the final statistic that I decided to use to evaluate which player is most valuable, Value Over Replacement Player (VORP). In my opinion, this is the metric that most literally translates to player value as it is the value that the player provides over another player that they would have been replaced with. I've included only those with a VORP value greater than 5 to make the chart more readable and clearly show the difference between the top players.
Annotations: The tooltip that appears as you hover over each bar is the annotation for this bar chart. It easily provides the reader with the VORP value for the highlighted player.
Parameters: The parameter for this plot is the sorting of VORP values, from greatest to least.
Triggers: Hovering over each bar shows the tooltip providing the VORP value for that individual. The other trigger is clicking on the checkbox to sort the bars by VORP value, from greatest to least. The bars are automatically sorted once the page has fully loaded and can be unsorted by clicking on the checkbox.