/Exploratory-Data-Analysis-of-IPL-2022

Fetched IPL 2022 data through web-scrapping. & performed data analysis using different data visualization techniques.

Primary LanguageJupyter NotebookMIT LicenseMIT

Exploratory Data Analysis Of IPL 2022

We have performed web scrapping on the data of IPL 2022 which was dynamic in nature. We have retrieved data such as:

  1. Points Table
  2. Orange Cap Table
  3. Purple Cap Table
  4. Best Average
  5. Best Economy
  6. Most Sixes
  7. Most Fours
  8. Most Fifties

🖇️ Web Scrapping

Inside the Web Scrapping folder there are two files namely :

  • WebScrap.ipynb
  • WebScrap2.ipynb

In both these files, we have retrieved the data dynamically. Everyday after the game we just have to run both the jupyter notebooks and the updated data for the data will be stored in csv files.

📉 Analysis

The 'Main' folder contains the analysis of the data in the two files:

  • Analysis.ipynb
  • Analysis2.ipnyb

📊 Datasets

This link contains all the datasets that were generated through web scrapping and were used for analysis. Click here