Project Setup and Execution Guide

Environment Setup

1. Create a Virtual Environment
   Run the following command to create a virtual environment:

   python -m venv venv

2. Activate the Virtual Environment
   Activate the environment using the appropriate command for your operating system:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

3. Install Required Packages
   Install all necessary dependencies by running:

   pip install -r requirements.txt

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Notebook Execution

1. Open the provided Jupyter Notebook file data_analytics.ipynb in your preferred IDE or Jupyter environment.
2. Click on Select Kernal and choose python environment -> venv
3. Click on Run All to execute all cells sequentially.
   This will process the datasets, perform analyses, and generate visualizations.

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Output and Insights

• The outputs of each cell are displayed directly within the notebook upon execution.
• Detailed interpretations and business insights derived from the analyses are documented in the Interpretations_&_Insights.pdf file for your reference.

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Notes

• Ensure all required datasets are available in the same directory as the notebook before execution.

  • Data Analyst Intern Assignment - Excel.xlsx
  • requirements.txt
  • data_analytics.ipynb

• If any issues occur during package installation or execution, verify the Python version and ensure compatibility with the dependencies listed in requirements.txt.

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