This project analyzes hospital performance and patient feedback across the United States using data from the Centers for Medicare & Medicaid Services (CMS). The analysis aims to uncover trends in quality, satisfaction, emergency services, and hospital types to support data-driven healthcare insights.
- Handled missing values
- Renamed/standardized confusing column names
- Fixed text-based inconsistencies
- Tools: Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly)
- Created 5–7 visualizations: bar charts, pie charts, boxplots, line plots, heatmaps
- Analyzed hospital type distribution across regions
- Explored ownership vs ratings trends
- Examined patient satisfaction and emergency service availability
- Identified top/bottom performing states based on ratings
- Investigated readmission rates & mortality score patterns
Python Pandas NumPy Matplotlib Seaborn SQL Statistics Data Visualization
https://github.com/vidyaspillai/HealthData-IQ.git git clone https://github.com/your-username/HealthData-IQ.git