ECE-143 SOFIFA Data Analysis

Visualization and exploration of SOFIFA Dataset

Guidelines to the above codes:

MODULES
1.) data_extraction_module.py: Extracts,Cleans and Processes the data and stores in a Pandas DataFrame
2.) data_visualization module.py: Contains functions which displays the multiple plots depending on the given input parameters.
3.) data_loader.py: Loads the processed Data

NOTEBOOKS:
1.) Data Scraping and Cleaning.ipynb: Using the above modules scrapes through all pages of SOFIFA website dowloands,processes and returns clean data
2.) Data Visualization.ipynb: Using the above modules visualizes and displays all the plots.
3.) Machine Learning.ipynb: Using the above modules predicts the regression output.

Files:
1.) Player_Attributes.CSV: Cleaned list of attributes of TOP 10K players from SOFIFA
2.) ECE_143_Group11.pptx: Final PPT

Folders:
1.)Figures: Contains All Images