A combination of a scatterplot and a bar chart were the data visualization tools of choice for Fengbo Li at Georgia Tech who designed a viz highlighting athletic performance of NBA players. This data analytics piece is exploring the statistics from the 2012-2013 NBA season. The data viz application has four main filters. Viewers can choose an NBA team for which the dynamic scatterplot will display the stats. When filtering on any NBA team, all of its players’ pictures are populated on the right hand sight panel. By clicking each picture, individual players’ performance on various stat categories can be displayed. On the first screenshot, you can see LeBron James’ stats paired with minutes played and points scored. An accompanying bar chart shows whether games were won or lost. Hovering a mouse over a bar activates a window with more detailed data.

For sports statistics geeks there are numerous stat categories which can be explored by using X and Y axes filters. On the next data visualization example you can see how much time Lebron James played and how many points he scored.  The only thing which is a bit confusing is the color filter for Plus/Minus which is a bit ambiguous on what data it represents.