🏆 The Ultimate IPL Analytics Dashboard

An interactive data analysis dashboard for the Indian Premier League (IPL) from 2008-2020. This application allows users to explore player statistics, team head-to-head records, and venue-specific insights.

➡️ View the Live Demo Here

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✨ Features

This dashboard is divided into three main sections for comprehensive analysis:

• Player Performance Analysis:

  • Select any batsman from the dropdown menu.
  • View key performance metrics like Total Runs, Strike Rate, Batting Average, and number of Dismissals.
  • Visualize the player's run-scoring trends season by season with a dynamic bar chart.

• Team vs. Team Head-to-Head:

  • Select two different teams to compare their historical performance.
  • Instantly see the total matches played and the number of wins for each team.
  • View a summary table of the last 5 encounters between the selected teams.

• Venue Insights:

  • Choose any stadium from the dropdown list.
  • See the total number of matches hosted at that venue.
  • Analyze the impact of the coin toss with a pie chart showing the percentage of teams that choose to bat or field.
  • Discover the percentage of matches won by the team that wins the toss at that specific venue.

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🛠️ Technologies Used

• Language: Python
• Libraries:
  • Streamlit: For creating the interactive web application.
  • Pandas: For data manipulation and cleaning.
  • Matplotlib & Seaborn: For data visualization and plotting.

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🚀 How to Run Locally

1. Clone the repository:

   git clone [https://github.com/Venugopal9578/ipl-analytics-dashboard.git](https://github.com/Venugopal9578/ipl-analytics-dashboard.git)

2. Navigate into the project directory:

   cd ipl-analytics-dashboard

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the Streamlit application:

   streamlit run app.py