The project aims to analyze telecom usage patterns in India over a five-year period, providing insights into regional variations, market dynamics, and consumer behaviors. By delving into comprehensive data collected from diverse sources, the project endeavors to inform strategic decisions for telecom providers, policymakers, and consumers.
- Data Collection: Utilized Tabula Py library for extracting data from PDF sources.
- Data Cleaning: Addressed challenges such as missing values and formatting inconsistencies through advanced data cleaning techniques.
- State-wise Analysis: Examined regional variations in telecom infrastructure, market dynamics, and consumer preferences across different states of India.
- Comparative Studies: Compared telecom usage patterns among different operators and states to identify dominance, market share, and competitive dynamics.
- Insights and Recommendations: Provided actionable recommendations for optimizing network infrastructure, enhancing service offerings, and capitalizing on emerging opportunities.
data/: Contains the raw and cleaned datasets used for analysis.notebooks/: Jupyter notebooks documenting the data collection, cleaning, and analysis processes.visualizations/: Visualizations generated during the analysis phase.reports/: Detailed reports summarizing key findings, implications, and recommendations.
To run the analysis locally, follow these steps:
- Clone the repository:
git clone https://github.com/your-username/telecom-usage-analysis.git - Navigate to the project directory:
cd telecom-usage-analysis - Install dependencies:
pip install -r requirements.txt - Explore the Jupyter notebooks in the
notebooks/directory to understand the analysis process.
- Use the provided Jupyter notebooks to replicate the analysis or modify it according to your requirements.
- Explore the visualizations to gain insights into telecom usage patterns in India.
- Refer to the reports for detailed summaries of key findings and recommendations.
Contributions are welcome! If you find any bugs or have suggestions for improvement, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for details.