This is a class project of CS7450 InfoVis at Georgia Tech, where I designed and built an interactive visualization project representing NBA injury data in the past ten years.
Through this project, I focused on exploring possible correlations among NBA player injury cases and providing insightful findings to the users who are curious about them.
By the end of semester, I build a fully interactive visualization project covering multiple coordinated views representing different aspects of NBA injury data cases.
|Player Name||Team||Out Date||Back Date||Injury Type||Time to Recover||Injury Description|
|Shaquille O'Neal||Heat||2009-01-06||2009-03-21||Lower Leg (LL)||83 Days||Sore Left Hip & Leg|
Bar Chart View: Allows users to compare the prevalence of different injury types across all the 30 teams and see which team is more affected by what type of injury.
Scatterplot View: Allows users to check out the distribution of injuries by types and recovery time for a particular team selected by user.
Sankey Diagram: Allows users to see the correlation between injury types and player positions.
Radar Diagram: Allows users to look at individual players, get an overview of past history and see which part of his body is more likely to get injured.
Table View: Allows users to browse detailed injury historys.