athuljain2311/IPL_DataAnalysis1

IPL Data Analysis

• All the data used for this project has been scraped from IPL's official website.
• The raw scraped data, along with the processed, clean data, that has been used for all the analysis can be found here in my Kaggle account.

Steps to run the application

1. Clone the repository by running the command git clone https://github.com/athuljain2311/IPL_DataAnalysis1.git
2. Assuming that you have Anaconda distribution installed in your system, run the command conda create -p venv python=3.7 -y within the repository, to create a virtual environment within the repository. I have used Python 3.7 for building this project.
3. Activate the environment by running the command conda activate venv
4. After activating the environment, run the command pip install -r requirements.txt to install all the dependencies
5. Finally, run the command streamlit run app.py to launch the web application.

Understanding the code

• Based on the structure of the application, the code to generate the graphs present in each of the four tabs in the application, have been split up into 4 different modules in the src/components directory.
• app.py houses the entire structure of the web application.
• The notebook based on which the modules have been developed, has been included in the data directory.