Experimental Connector is a Streamlit-based project that allows users to compare data from two footballers. This project leverages Streamlit connectors to fetch and display footballer statistics, enabling enthusiasts, analysts, and fans to make data-driven comparisons between two players.
The Experimental Connector project is designed to provide a user-friendly interface for comparing the statistics of two footballers. It is built using the Streamlit framework, which makes it easy to create interactive and data-driven web applications with minimal coding effort. This project particularly targets football (soccer) enthusiasts who want to delve into the statistical comparison of their favorite players.
Clone the repository:
git clone https://github.com/yourusername/Experimental_Connector.git
Navigate to the project directory:
cd Experimental_Connector
Install the required dependencies:
pip install -r requirements.txt
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User-Friendly Interface: The project offers a simple and intuitive user interface where users can input the names of two footballers they wish to compare.
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Data Retrieval: The project uses Streamlit connectors to retrieve data from a predefined data source or API. This data includes various statistics related to the selected footballers.
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Data Visualization: The retrieved data is presented in an organized and visually appealing format. Users can see a side-by-side comparison of various statistics, such as goals scored, assists, dribbles, and more.
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Dynamic Interaction: Users can dynamically switch between different statistics to compare and contrast the performance of the two footballers in real-time.
- Run the Streamlit app:
streamlit run app.py - The app will open in your default web browser
- Enter the names of the two footballers you want to compare in the provided input fields.
- Explore the presented statistics and dynamically switch between different metrics to compare the players' performance.