DataFusion - Python Application

Project as part of the Data Warehousing subject.

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Project maintained by dawidolko Hosted on GitHub Pages — Theme by dawidolko

🧩 DataFusion App Python (Python, PySimpleGUI, Data Analysis)

Case: Build a powerful and user-friendly Python GUI application for real-world data analysis and machine learning. The project processes two distinct datasets: the UCI Adult Income dataset and the UCI Chronic Kidney Disease dataset, offering users a rich environment for data exploration, cleaning, transformation, and predictive modeling.

Tech Stack: Python, PySimpleGUI, Pandas, Scikit-learn, Matplotlib, Seaborn.

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🚀 Usage

Running Locally

• Clone the repository:

git clone https://github.com/dawidolko/DataFusion-App-Python.git
cd DataFusion-App-Python

• Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

• Install the dependencies:

pip install -r src/requirements.txt

• Start the application:

python src/main.py

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📈 Features

• Interactive GUI:
  A simple, intuitive interface built with PySimpleGUI allowing users to perform complex data operations without coding.

• Data Extraction and Transformation:
  Load datasets, clean missing data, normalize, encode categorical variables, and perform feature engineering.

• Statistical Analysis:
  Calculate key metrics (mean, median, mode, standard deviation), visualize distributions, and explore feature correlations.

• Machine Learning Modules:
  • Classification: Decision Trees, k-NN, Logistic Regression.
  • Clustering: K-Means Clustering.
  • Association Rules: Apriori Algorithm for discovering hidden patterns.

• Visualization:
  Generate histograms, scatter plots, and heatmaps for in-depth data insights.

• Modular Architecture:
  Easy to maintain and extend, with each feature separated into its own module.

• Educational Focus:
  Ideal for learning data science workflows with real-world datasets.

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📚 Datasets

• UCI Adult Income Dataset:
  Demographic and employment data for income classification tasks.

• UCI Chronic Kidney Disease Dataset:
  Medical parameters for diagnosing chronic kidney disease (binary classification).

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📂 Project Structure

DataFusion-App-Python/
├── database/               # Raw datasets (Adult and Chronic)
├── docs/                   # Additional project documentation
│   └── description.docx
├── src/                    # Application source code
│   ├── main.py             # GUI entry point
│   └── requirements.txt    # Python dependencies
├── LICENSE                 # License file
└── README.md               # Project documentation

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🖼️ Screenshots

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📜 License

The DataFusion App Python project is licensed under the MIT License.

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🙋‍♂️ Author

Created by Dawid Olko

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