An Interactive (DATA) dump: Using the NBA to Explore Python's Visualization Capabilities

Recent advances in data acquisition in the NBA allow us to gain insight into the sport and it's players, and, we can use this data to play with Python's visualization abilities. In this post data from the current season is used to see just how dominant the Golden State Warriors are; Fivethirtyeight's ELO rankings help to make an interactive graph (not usable on a mobile device); shot charts from stats.nba.com help to build a 3D visualization of a player's shots; and, we will look for any changes in Stephen Curry's play that may explain his explosive 2015-2016 season. read more