https://github.com/djdurga/t-20-cricket-data-analytics

The Cricket Data Analytics🏏 project is made on T-20 Cricket World Cup data using Power BI.
https://github.com/djdurga/t-20-cricket-data-analytics

jupyter-notebook pandas powerbi python

Last synced: 3 months ago
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The Cricket Data Analytics🏏 project is made on T-20 Cricket World Cup data using Power BI.

• Host: GitHub
• URL: https://github.com/djdurga/t-20-cricket-data-analytics
• Owner: Djdurga
• Created: 2024-04-05T05:06:59.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-04-08T10:02:33.000Z (over 2 years ago)
• Last Synced: 2025-02-01T21:33:08.852Z (over 1 year ago)
• Topics: jupyter-notebook, pandas, powerbi, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.07 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# T-20-Cricket-data-analytics

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.

![Logo](https://camo.githubusercontent.com/ecef4c543198952452b882c5551593f6c6a7f1f4a2b304d61b0d79ce7cbf1bad/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f706f7765725f62692d4632433831313f7374796c653d666f722d7468652d6261646765266c6f676f3d706f7765726269266c6f676f436f6c6f723d626c61636b) 

![Logo](https://camo.githubusercontent.com/0562f16a4ae7e35dae6087bf8b7805fb7e664a9e7e20ae6d163d94e56b94f32d/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f707974686f6e2d3336373041303f7374796c653d666f722d7468652d6261646765266c6f676f3d707974686f6e266c6f676f436f6c6f723d666664643534)

![Logo](https://camo.githubusercontent.com/05cab52d05663cecbe47a23ca71075ba81b9080dd50561d0f76eb46e902cfef8/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f70616e6461732d2532333135303435382e7376673f7374796c653d666f722d7468652d6261646765266c6f676f3d70616e646173266c6f676f436f6c6f723d7768697465)

![Logo](https://camo.githubusercontent.com/c044ae9d0419850e7f2385c22ea5de56e101e6a616789bd35d2d8fa137a63642/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f6a7570797465722d2532334641304630302e7376673f7374796c653d666f722d7468652d6261646765266c6f676f3d6a757079746572266c6f676f436f6c6f723d7768697465)

## 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