fagan2888 / nba

Solution to the NBA analysis workshop

Data Loading Python Workshop

Software Engineering Students:

$ git clone https://github.com/georgetown-analytics/nba.git
$ cd nba
$ jupyter notebook

In Jupyter, open the file called "NBA Player Statistics Workshop.ipynb"

Given a dataset of NBA players performance and salary in 2014, you'll use Python to load the dataset and compute the summary statistics for the SALARY field:

• mean
• median
• mode
• minimum
• maximum

You will need to make use of the csv module or use pandas to load the data and interact with it. Computations should require only simple arithmetic.

Bonus:

Determine the relationship of PER (Player Efficiency Rating) to Salary via a visualization of the data.

NBA 2014 Players Dataset: http://bit.ly/gtnbads

Certificate Completion Challenge:

If you've completed the certificate program and want to test your data science skills from ingestion through machine learning, follow the instructions in the file called "Data Analysis of NBA Players Challenge.ipynb"