🏥 Stroke Analysis App

A CLI (Command Line Interface)-based data analysis application built using Python to analyze stroke patient datasets. This project includes data cleaning, statistical analysis, algorithmic search, and interactive data visualization.

📋 Key Features

• Automatic Data Cleaning: Handles missing values ​​(Mean/Mode imputation) and removes duplicate data.
• Interactive CLI: Interactive menu interface with easy navigation (Looping menu).
• Data Visualization:
• Pie Chart (Stroke Proportion)
• Heatmap (Feature Correlation)
• Histogram & KDE (Age Distribution)
• Scatter Plot (BMI vs. Glucose Relationship)
• Searching Algorithm: Searches for patients based on specific criteria (Age & Stroke Status).
• Sorting Algorithm: Sorts data by Age, Glucose, or BMI.
• Export Data: Saves the cleaned data to a new CSV file.
• Cross-Platform: Supports a clear screen on both Windows and Linux/Mac.

🛠️ Technology

• Language: Python 3.x
• Libraries:
• pandas (Data Manipulation)
• matplotlib & seaborn (Data Visualization)
• os & sys (File System Management)

🚀 How to Run

• Clone this repository: git clone [https://github.com/kelfinofarelino/stroke-data-analysis.git](https://github.com/kelfinofarelino/stroke-data-analysis.git) cd stroke-data-analysis
• Install required libraries: pip install -r requirements.txt
• Run the application: python main.py

📜 Changelog / Version History

• v2.4 (Latest) - UX Improvements:

• [UPDATE] Changed the Sorting menu input from string (type the column name) to numeric (select numbers 1-3) to minimize typos.

• [FIX] Improved error handling if a dataset column name changes (e.g., Sex vs. Gender).

• v2.3 - Clean Interface:

• [NEW] Added an automatic clear_screen() feature. The terminal screen will clear every time you switch menus, creating a more professional appearance. typo.

• [UPDATE] Added compatibility for Windows (cls) and Mac/Linux (clear).

• v2.2 - Interaction Flow:

• [NEW] Added a "Pause" feature (Press Enter to continue) after feature execution, giving the user time to read the analysis results before the main menu reappears.

• [FIX] Improved automatic file path (File Path) using os.path.join to prevent FileNotFound errors.

• v2.1 - Robustness:

• [FIX] Improved Data Cleaning logic for separate handling of numeric and categorical data types.

• [FIX] Backup original data (raw_df) before modifying it.

• v2.0 - Major Refactor (OOP):

• [NEW] Changed the procedural code structure to Object-Oriented Programming (OOP) with the StrokeAnalysisApp class.

• [NEW] Added a main menu with a while loop to prevent the application from closing immediately.

• [NEW] Added an Export to CSV feature.

• v1.0 - Initial Release:

• Initial release for Data Structures coursework.

• Basic features: Load Data, Simple Stats, Simple Plotting.

📂 Folder Structure

stroke-data-analysis/
│
├── data/
│ ├── stroke_dataset.csv # Original Dataset
│ └── cleaned_stroke_data.csv # Cleaned Data Output (Generated)
│
├── main.py # Main Source Code
├── README.md # Project Documentation
└── requirements.txt # List of Dependencies

Author: Muhammad Farelino Kelfin Informatics Student, UPN "Veteran" Yogyakarta - 2024