Some final reports from my senior-level case studies course (STA440 at Duke University - Fall 2019)
Focuses on creating compelling visualizations in Tableau using data from the World Happiness Report. This was a group assignment.
The final case study was an individual assignment. We were allowed to pick any type of data to use. I chose to scrape information about NBA basketball players.
My report focuses on the metric of NBA efficiency which is a statistic calculated by summing all positive stats (points, rebounds, assists, steals, block shots) and subtracting all negative stats (turnovers, missed shots). For fun, I conducted a simple hypothesis test to see if Lebron James was significantly more effective than other players in the league (spoiler alert: he is). Then, the big question I chose to explore was whether or not the one-and-done rule affected the efficiency of rookie players in the league (the thought process being that younger players may be less efficient). I evaluated this using a weighted model and a matched model to determine which had the lowest standardized difference.
My Tableau dashboard contains 3 different visualizations: (1) Line Chart: NBA stats throughout the years (2) Scatterplot: Height and Weight of Players in each Position and (3) Histogram: Comparing stats of UNC players and Duke players in the NBA.