Data Whisperer Insights Jarvis is a robust tool designed for analyzing raw data and transforming it into visualizations that help users understand trends and patterns. It empowers users to make data-driven decisions by presenting insightful and interactive visual representations of their data.
- Data Analysis: Process raw data to uncover trends, patterns, and insights.
- Data Visualization: Generate compelling visualizations to make data easier to interpret.
- Customizable Dashboards: Create tailored views for specific data analysis needs.
- Interactive Visuals: Allow users to interact with visualizations for deeper exploration.
This project is built using:
- Vite: For fast and optimized development.
- TypeScript: Ensuring a type-safe development experience.
- React: For building dynamic and interactive user interfaces.
- shadcn-ui: For a consistent and modern UI design.
- Tailwind CSS: For efficient and responsive styling.
To get started with this project, follow these steps:
Ensure you have the following installed on your local environment:
- Node.js and npm (We recommend using nvm for managing Node.js versions.)
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Clone the repository:
git clone <YOUR_GIT_URL>
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Navigate to the project directory:
cd <YOUR_PROJECT_NAME>
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Install the necessary dependencies:
npm i
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Start the development server:
npm run dev
You can edit the code in the following ways:
- Locally: Use your favorite IDE to modify the codebase and push changes back to the repository.
- GitHub Codespaces: Launch a development environment directly from GitHub for cloud-based development.
- Direct Edits on GitHub: Navigate and modify files directly using GitHub's web interface.
To deploy the project, build the production version and use your preferred deployment platform. Ensure all dependencies are correctly installed and configured.
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Build the project 518A :
npm run build
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Deploy the output in the
dist/
folder to your hosting platform.
Contributions are welcome! Follow these steps to contribute:
- Fork the repository.
- Create a branch for your feature or bug fix.
- Commit your changes.
- Open a pull request for review.
Let me know if further modifications are needed!