{"id":24149165,"url":"https://github.com/suresh-chelani/crop-data-visualization","last_synced_at":"2025-03-01T17:23:48.135Z","repository":{"id":271063226,"uuid":"912297273","full_name":"Suresh-Chelani/Crop-Data-Visualization","owner":"Suresh-Chelani","description":"This project implements data visualization tasks using TypeScript, Vite, Apache ECharts, and Mantine v7. 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The goal is to process agricultural data, handle missing values, and render a table and a bar chart based on the dataset.\n\n### My UI look like:\n\n## **Landing Page UI**\n\n![Landing Page UI](https://raw.githubusercontent.com/Suresh-Chelani/Crop-Data-Visualization/refs/heads/main/public/images/landingpageUI.png)\n\n### [LIVE DEMO](https://crop-data-visualization.netlify.app/)\n\n## **Production Analysis Table**\n\nThis table shows the crop with the maximum and minimum production for each year.\n\n![Production Analysis Table](https://raw.githubusercontent.com/Suresh-Chelani/Crop-Data-Visualization/refs/heads/main/public/images/table.png)\n\n## **Average Yield Bar Chart**\n\nThis bar chart displays the average yield of crops across all years (1950-2020).\n\n![Average Yield Bar Chart](https://raw.githubusercontent.com/Suresh-Chelani/Crop-Data-Visualization/refs/heads/main/public/images/barchart.png)\n\n## **Technologies Used**\n\n- **TypeScript**: For strictly typed JavaScript.\n- **Vite**: Development environment with fast build times.\n- **Apache ECharts**: For creating the bar chart visualizations.\n- **Mantine v7**: For creating the table component.\n\n---\n\n## **Features**\n\n1. **Missing Values Handling**: All missing or empty values in the dataset are replaced with `0` before calculations or rendering.\n2. **Table Component**:\n   - Displays the crop with maximum and minimum production for each year.\n3. **Bar Chart Component**:\n   - Displays the average yield of crops (1950–2020) using a bar chart.\n\n---\n\n## **Installation and Setup**\n\nFollow the steps below to set up and run the project:\n\n### **Step 1: Clone the Repository**\n\n```bash\ngit clone https://github.com/Suresh-Chelani/Crop-Data-Visualization.git\ncd Crop-Data-Visualization\n```\n\n### **Step 2: Install Dependencies**\n\n    yarn install\n\n### **Step 3: Run the Development Server**\n\n    yarn dev\n\n### Usage\n\n1. The application will automatically open in your default browser.\n2. You will see:\n   1. A table showing the crop with the maximum and minimum production for each year.\n   2. A bar chart showing the average yield of crops across all years.\n\n### Scripts\n\n1. yarn dev: Starts the development server and opens the browser.\n2. yarn build: Builds the project for production.\n3. yarn preview: Previews the production build.\n\n## Dependencies\n\n1. Vite: ^4.0.0\n2. Apache ECharts: ^5.4.0\n3. Mantine v7: ^7.0.0\n4. TypeScript: ^4.0.0\n\n## License\n\nThis project is licensed under the MIT License.\n\n## Acknowledgments\n\n1. Dataset provided for the project assignment.\n2. Frameworks and tools used: Vite, Mantine v7, Apache ECharts.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuresh-chelani%2Fcrop-data-visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsuresh-chelani%2Fcrop-data-visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsuresh-chelani%2Fcrop-data-visualization/lists"}