Medical Data Visualizer

Overview

The Medical Data Visualizer is a Python project that processes and visualizes medical dataset trends. This tool provides visualizations to analyze patient data and health metrics. Instructions for building the project can be found here.

Features

• Data Cleaning & Preprocessing: Handles missing values, standardizes formats, and prepares data for analysis.
• Statistical Analysis: Computes key health metrics such as BMI, cholesterol levels, and blood pressure.
• Data Visualization:
  • Scatter plots for correlation analysis
  • Categorical plots for health trends
  • Heatmaps for feature relationships
• Customizable Filters: Allows users to filter and analyze specific patient groups.

Installation

Prerequisites

Ensure you have Python 3 installed along with the following libraries:

pip install pandas numpy seaborn matplotlib

Clone Repository

git clone https://github.com/ibringfaith/medical-data-visualizer.git
cd medical-data-visualizer

Usage

Run the Python script to generate visualizations:

python medical_data_visualizer.py

Modify parameters in the script to customize the analysis.

Example

Here’s an example of a generated heatmap illustrating the correlation between health metrics:

Testing

To run tests and validate functionality, execute:

pytest test_medical_visualizer.py

Ensure all tests pass before making changes.