Petite Pandas group - Data Analysis with Pandas and NumPy

Uses a Python backend with a HTML/Javascript frontend in order to create our NBA stats project.

Backend:

• Individual CSV files are made and referenced
• Pandas are used to extract all the data from the csv files and compiles them into one giant JSON file
• The JSON file contains separate dictionaries for each team, and multiple lists and dictionaries are present within
• Pandas are also used in the code that helps set up the graphs with the axis and the different aspects
• The backend also generates tables for each team

Frontend:

• Consist of 3 dropdown menus: 1 for table, 1 for bar graph, and 1 for pie graph
• The choices for the table have the teams, while the choices for the graphs include aspects like points and steals
• When a specific team is clicked, the table with the data for that team is generated
• Once the table is generated, users can then click on one of the choices for the graphs, and the graph for that aspect within the team will show up