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Statistical Analysis of Health Insurance Charges in USA

Welcome to the repository for the final project of STAT 5000 coursework, where we delve into investigating the determinants of variability in insurance costs across the United States healthcare landscape. In this project, our focus is on exploring and understanding the factors that contribute to the diverse range of insurance costs.

Team Members:

  • Dhanavikram Sekar
  • Hariharan Kumar
  • Indu Varshini Jayapal
  • Naveen Vinayaga Murthy
  • Nidhi Choudhary

Files in the Repository

  1. Code:

    • analysis_code.ipynb: Jupyter Notebook containing the Python code used for statistical analysis and data analysis.
  2. Reports:

  3. LaTeX Zip File:

  4. Presentation:

  5. Video Presentation:

Project Overview

In this project, our goal is to uncover and analyze the determinants that contribute to the variability in insurance costs across the United States healthcare landscape. The Jupyter Notebook (analysis_code.ipynb) provides a detailed exploration of our data, preprocessing steps, analysis techniques, and results.

The final report (final_report.pdf) offers an in-depth narrative of our investigative approach, the methodologies employed, and the key determinants we identified that influence insurance costs.

Our presentation slides (presentation_slides.pdf) provide a concise overview of the project, emphasizing key insights and findings.

To gain a visual perspective on our project and better understand the determinants of variability in insurance costs, we encourage you to watch our video presentation on YouTube: Project Video Presentation.

Feel free to explore the files, delve into our analyses, and engage with the content to deepen your understanding of the factors influencing insurance costs across the United States healthcare landscape.

Thank you for your interest in our project!


Note: This README serves as a guide to the contents of the repository. Please refer to specific files for in-depth information and analysis.

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STAT 5000 coursework final project - Unraveling Patterns in Health Insurance Charges

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