{"id":22348767,"url":"https://github.com/devprnvk/realestateml","last_synced_at":"2026-04-30T03:38:16.538Z","repository":{"id":246446413,"uuid":"821158097","full_name":"devprnvk/RealEstateML","owner":"devprnvk","description":"This Python program analyzes a dataset (HousePricePrediction.xlsx) containing information about house prices. 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It utilizes pandas for data manipulation, matplotlib for plotting, and seaborn for visualizing correlations and distributions.\n\n## Features\n\n- **Data Loading and Exploration**: Loads the dataset (`HousePricePrediction.xlsx`) using pandas and displays the first 5 records.\n  \n- **Numeric and Categorical Analysis**: Identifies numeric and categorical columns in the dataset and performs analysis accordingly.\n  \n- **Correlation Heatmap**: Plots a heatmap to visualize correlations among numeric features.\n  \n- **Unique Values and Distribution**: Displays the number of unique values and distribution plots for categorical features.\n\n## Requirements\n\n- Python 3.x\n- pandas\n- matplotlib\n- seaborn\n\n## Installation\n\n1. Clone the repository:\n\n''git clone https://github.com/your-username/house-price-prediction.git\n\n2. Install the required dependencies:\n\npip install pandas matplotlib seaborn openpyxl\n\nmarkdown\nCopy code\n\n## Usage\n\n1. Navigate to the directory containing `analyze.py`.\n\n2. Run the script:\n\npython analyze.py\n\nmarkdown\nCopy code\n\nThis will execute the program and display visualizations in matplotlib and seaborn.\n\n## Example Output\n\n- **Correlation Heatmap**:\n\n![Correlation Heatmap](images/correlation_heatmap.png)\n\n- **Unique Values of Categorical Features**:\n\n![Unique Values](images/unique_values.png)\n\n- **Distribution of Categorical Features**:\n\n![Distribution](images/categorical_distribution.png)\n\n## License\n\nThis project is licensed under the MIT License - see the LICENSE file for details.\n\n## Contributing\n\n1. Fork the repository.\n2. Create a new branch (`git checkout -b feature-new-analysis`).\n3. Make changes and commit (`git commit -am 'Add new analysis feature'`).\n4. Push to the branch (`git push origin feature-new-analysis`).\n5. Create a new Pull Request.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevprnvk%2Frealestateml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevprnvk%2Frealestateml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevprnvk%2Frealestateml/lists"}