You are a data analyst for a basketball team and have access to a large set of historical data that you can use to analyze performance patterns. the coach of the team and your management have requested that you use descriptive statistics and data visualization techniques to study distributions of key performance metrics that are included in the data set. these data-driven analytics will make key decisions to improve the performance of the team. you will use the python programming language to perform the statistical analyses and then prepare a report of your findings to present for the team’s management. since the managers are not data analysts, you will need to interpret your findings and describe their practical implications.