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Dataset Analyzer Web App\n\nA full-stack web application that allows users to upload CSV datasets, analyze the data with statistical summaries and visualizations, and interact with an AI-powered assistant for querying the dataset.\n## Features\n- Upload CSV files for analysis\n- Generate statistical summaries (mean, median, etc.)\n- Display data visualizations (histograms, box plots, scatter plots)\n- AI-powered query assistant for dataset insights/hesitations\n- User-friendly interface with React and Flask backend\n\n## Technologies Used\n**Frontend:**\n- React.js (with React Router)\n- Axios (for API requests)\n- CSS for styling\n\n**Backend:**\n- Flask (Python)\n- Flask-CORS\n- Pandas (for data handling)\n- Matplotlib \u0026 Seaborn (for data visualizations)\n- Google Gemini AI API (for AI-powered queries)\n- dotenv (for environment variables management)\n\n## Installation \u0026 Setup\n**Prerequisites:**\n\n- Node.js \u0026 npm (for frontend)\n- Python 3.x \u0026 pip (for backend)\n\n**Backend Setup:**\nClone the repository:\n```bash\ngit clone \ncd backend\n```\n\n**Install Python dependencies:**\n```bash\npip install -r requirements.txt\n```\n\n**Set up environment variables:**\n\nCreate a .env file in the root directory and add Gemini API Key (Note i've added a key as example how it look like, however this key doesnt work anymore, so you have to create your own(https://ai.google.dev/gemini-api/docs/api-key))\n```bash \nGOOGLE_API_KEY=\u003cyour-api-key\u003e\n```\n\n**Run the Flask server:**\n```bash \npython app.py\n```\n\n**Frontend Setup:**\nNavigate to the frontend folder:\n```bash \ncd .. \ncd data-explorer/\n```\n\n**Install dependencies:**\n```bash \nnpm install\n```\n**Start the React app:**\n```bash\nnpm start\n``` \n## Usage\n\n1) Upload a CSV file from the homepage.\n2) View dataset analysis, including summary statistics and visualizations.\n3) Interact with the AI assistant to ask questions about the dataset.\n\n## API Endpoints for reference\n\n- Upload Dataset:\n```bash\nEndpoint: POST /upload\n```\n**Description: Uploads a CSV file, performs analysis, and returns statistics \u0026 visualizations.**\n\n- Query AI Assistant:\n```bash\nEndpoint: POST /query/\u003cfilename\u003e\n```\n**Description: Processes user queries related to the dataset using Google Gemini AI.**\n\n## Project Structure\n\n/ (root)\n│── app.py               # Flask backend\n│── /frontend            # React frontend\n│── ├── src\n│── │   ├── App.js       # Main React component\n│── │   ├── index.js     # React entry point\n│── │   ├── App.css      # Styling\n│── │   ├── pages/\n│── │   │   ├── HomePage.js      # File upload page\n│── │   │   ├── AnalysisPage.js  # Dataset analysis \u0026 AI assistant\n│── ├── public/\n│── ├── package.json\n│── .env                 # Environment variables\n│── requirements.txt      # Backend dependencies\n\n## License\n\nThis project is licensed under the MIT License.\n\n## Author\n\nBryan ST Herrera Estrada (GitHub: [BryanHE24])\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbryanhe24%2Fdata_analysis_app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbryanhe24%2Fdata_analysis_app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbryanhe24%2Fdata_analysis_app/lists"}