You are a data analyst for a basketball team. You have found a large set of historical data, and are working to analyze and find patterns in the data set. The
coach of the team and your management have requested that you use descriptive statistics and data visualization techniques to study distributions of key
variables associated with the performance of different teams. Data-driven analytics will help the management make decisions to further improve your team’s
performance. You will use the Python programming language to perform your statistical analysis. You will also need to present a report of your findings to the
team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications. The managers
will use your report to find areas where the team can improve its performance.
Note: This data set has been “cleaned” for the purposes of this assignment.
Reference
FiveThirtyEight. (April 26, 2019). FiveThirtyEight NBA Elo dataset. Kaggle. Retrieved from https://www.kaggle.com/fivethirtyeight/fivethirtye…