/T20-WorldCup-Analysis

Checkout my project on T20 World Cup Data Analysis. First of all used selenium for webscraping, pandas for reading csv, grouping, filtering, label encoding, etc and plotly for visualization. I have divided Visualization as All time records, Season wise Records), Records in Knockout & Final, First & Last 3 season records and Indian Cricket Team records, further sub-divided into Most Runs, Most 6s, 4s, 50s, catches, etc.

Primary LanguageJupyter Notebook

T20-WorldCup-Analysis

da1.mp4

Checkout my project on T20 World Cup Data Analysis. First of all used selenium for webscraping, pandas for reading csv, grouping, filtering, label encoding, etc and plotly for visualization. I have divided Visualization as All time records, Season wise Records), Records in Knockout & Final, First & Last 3 season records and Indian Cricket Team records, further sub-divided into Most Runs, Most 6s, 4s, 50s, catches, etc.

Note: This project is only for Educational Purpose. All the data belongs to cricbuzz.com used only for educational purpose.