The Narendra Modi Stadium: World's Largest Cricket Stadium.

TASK

Prepare a report on the Narendra Modi Stadium, highlighting ground statistics and the best batting and bowling performances by players in IPL matches held at the venue.

APPROACH

1. Downloaded IPL data in the form of a CSV file from cricsheet.com.

2. Imported libraries such as pandas, matplotlib, and NumPy in a Jupyter Notebook.

3. Read the CSV file using pandas and filtered it based on the venue (Narendra Modi Stadium).

4. Utilized the filtered data frame for further analysis and exploration.

5. Leveraged Tableau to create charts and visualizations to showcase the insights derived from the data.

CHALLENGES

One of the challenges faced was that the Narendra Modi Stadium was previously known as the Motera Stadium, which resulted in missing data from the early stages of the IPL.

SOLUTIONS

To address this challenge, it was necessary to filter the data using both the names - Narendra Modi Stadium and Motera Stadium - to ensure that all relevant matches and statistics were included in the analysis

INSIGHTS

Total no. of matches played: 19

% of team winning batting first: 45.2%

% of team winning bowling first: 52.9%

Runs scored by run type:

Wickets taken by season

Runs Scored by season

Top 10 bowlers by wickets taken

Top 10 batsman by run scored

CONCLUSION

This project analyzed the performance of the Narendra Modi Stadium (formerly Motera Stadium) in IPL matches. Through data processing, filtering, and visualization techniques, key insights were obtained regarding ground statistics and standout batting and bowling performances

Google drive link to project: Click here