Patient Data Analysis

Overview:

This project focuses on analyzing patient health data to identify trends in blood pressure, glucose levels, BMI, and age-related health risks.

Key Steps & Analysis:

Data Cleaning & Preparation: Handled missing values, removed duplicates, and categorized BMI & age groups.

Exploratory Data Analysis (EDA): Used visualizations (bar plots, scatter plots, heatmaps) to explore trends.

Key Insights: Older patients showed a higher correlation with high blood pressure.

Technologies Used:

Python, Pandas, Matplotlib, Seabo