Skip to content

Created a Power BI report to identify the top 11 players for a T20 cricket team by scraping data from ESPNCricinfo, cleaning and transforming it with pandas, and evaluating player performance metrics

Notifications You must be signed in to change notification settings

yashchinchole/T20-World-Cup-Cricket-Data-Analytics

Repository files navigation

Cricket Data Analytics🏏

Power Bi Python Pandas Jupyter Notebook


The Cricket Data Analytics🏏 project is made on T-20 Cricket World Cup Data. I have used Power BI for making the Dashboard. We can easily analyse the data of the matches played in the world cup. We can also choose our best playing 11 from the pool of players playing the world cup.

To interact with the dashboard you can download the pbix file from the repository and open it in Power BI Desktop locally.


Steps involved in the project:

  1. 📝Requirement Scoping
  2. 🌐Data Collection using Web Scraping from ESPN Cricinfo website
  3. 🧹Data Cleaning and Preprocessing in Pandas
  4. 🪄Data Transformation in Power Query
  5. ⚒️Data Modelling and Building Parameters in Power BI using DAX
  6. 📊Building the Dashboard in Power BI

Screenshots of the Dashboard:

power_hitters_and_openers

hover_effect

individual_stats

anchors

finishers

all_rounders

fast_bowlers

pick_final_11

About

Created a Power BI report to identify the top 11 players for a T20 cricket team by scraping data from ESPNCricinfo, cleaning and transforming it with pandas, and evaluating player performance metrics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published