Heart-Attack-Analysis

This project is an interactive Python GUI application using Tkinter to visualize, analyze, and gain insights from heart disease data, adhering to object-oriented design principles and allowing user interaction to explore the data.

Application UI

Running the Application

Requirements

To run the application, ensure you have the following dependencies installed:

• matplotlib >= 3.8.4, < 4.0
• numpy >= 1.26.4, < 2.0
• pandas >= 2.2.2, < 2.3
• seaborn >= 0.13.2, < 0.14

Instructions

Clone the repository:

git clone https://github.com/colarrbear/Heart-Attack-Analysis

Create a virtual environment and install dependencies

1. Change your directory to Heart-Attack-Analysis

cd Heart-Attack-Analysis

2. Create virtual environment using this command.

# On Linux or MacOS
python3 -m venv env

# On MS Windows
python -m venv env

3. Activate the virtual environment

# On Linux or MacOS
source env/bin/activate

# On MS Windows
env\Scripts\activate

4. Installing Dependencies

pip install -r requirements.txt

5. Change your directory to code

cd code

6. Run the application:

python main.py

(For macOS users, use python3 main.py instead of python main.py)

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• Project proposal
• Development Plan
• Design Documents and UML Diagrams

Data Sources

The dataset used in this project is obtained from Kaggle.