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Data-Analysis-project-FCC---Medical-Data-Visualizer

Description

This project involves visualizing and analyzing medical examination data. The goal is to explore the relationships between:

  • Cardiac disease
  • Body measurements
  • Blood markers
  • Lifestyle choices

Key Features

  • Data cleaning and preprocessing.
  • Adding a new feature: BMI-based "overweight" classification.
  • Generating visualizations using Matplotlib and Seaborn:
    • Categorical Plot: Visualizing counts of good/bad outcomes.
    • Heatmap: Showing correlations between medical features.

Files

  • medical_data_visualizer.py: Python script for data analysis and visualization.
  • test_module.py: Test cases for functionality.
  • catplot.png: Categorical plot image.
  • heatmap.png: Heatmap image.

Example Outputs

Categorical Plot

Categorical Plot

Heatmap

Heatmap


License

This repository is licensed under the MIT License. Feel free to use and modify the code as needed.


Acknowledgements

Special thanks to my learning platform and mentors for guiding me through these projects.

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