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Tech Stack Used

Tech Stack Used

This project uses several widely adopted Python libraries for data analysis and visualization.

Python

Python serves as the primary programming language for performing data analysis and creating visualizations.

Google Colab

Google Colab provides the execution environment where all analysis and visualizations are developed.

Pandas

Pandas is used to:

  • Load datasets
  • Clean missing values
  • Filter records
  • Perform aggregations
  • Analyze cricket statistics

NumPy

NumPy supports numerical computations and mathematical operations required during data analysis.

Matplotlib

Matplotlib is used to create:

  • Bar charts
  • Line charts
  • Histograms
  • Pie charts

Seaborn

Seaborn builds upon Matplotlib and provides attractive statistical visualizations with minimal code.