Healthcare Data Visualization

Overview

This project visualizes patterns in healthcare data using advanced visualization techniques to identify trends in patient admissions, medical conditions, billing amounts, and medications.

Dataset

The dataset is a synthetic healthcare dataset obtained from Kaggle:

• Healthcare Dataset
• Variables include:
  • Patient demographics (e.g., Age, Date of Admission)
  • Medical conditions (e.g., Arthritis, Diabetes, Cancer)
  • Medications (e.g., Aspirin, Lipitor)
  • Billing Amounts and Insurance Providers

Visualizations

1. Chord Diagram:
   • Shows relationships between medical conditions and medications.
2. Mosaic Plot:
   • Depicts distribution of medical conditions across years of admission.
3. Calendar Heatmap:
   • Highlights admission patterns over years, months, and days.
4. Heatmap:
   • Compares average billing amounts by insurance providers and medical conditions.
5. Scatter Plot:
   • Analyzes billing amounts based on test results.
6. 2D Density Plot:
   • Visualizes billing amounts by age groups for specific medical conditions.

Files

• analysis/Final Report Code.R: R script containing all the visualizations.
• report/DSC465 Final Report.pdf: Comprehensive report detailing the analysis and findings.

How to Use

1. Clone the repository:

   git clone https://github.com/tejas-1911/Healthcare-Data-Visualization.git