Deployed on Vercel - https://assignment.aradhya.site/
A professional-grade application designed to streamline file management and analysis. This project focuses on providing a feature-rich, user-friendly interface for organizing and analyzing local files, including CSV data.
Effortlessly access and parse local file structures using the powerful papa-parser library, enabling quick and responsive parsing of large CSV files without compromising performance.
Organize folders with a robust tagging and flagging system to enhance categorization and streamline data management. Users can easily assign tags to folders, enabling intuitive sorting and retrieval.
A highly customizable dashboard allows users to toggle folder visibility, ensuring a clutter-free interface. View only the folders you need for a personalized and efficient workspace.
Files are displayed in a structured, grid-like interface. Pagination ensures smooth navigation even with large datasets, providing a seamless browsing experience.
The file viewing component leverages the powerful Ka-table library, enabling advanced functionalities like:
- Group-by Columns: Organize data hierarchically for better insights.
- Sorting: Sort data by any column for easy analysis.
- Interactive Viewing: View files in a clean and intuitive format.
Users can upload any CSV file via a dedicated file uploader. Once uploaded, the file is parsed using papa-parser and displayed in an Ka-Table component, where users can:
- Sort Data
- Group Data by Columns
- Analyze the Data Interactively
- Node.js and npm: Install Node.js and npm on your system.
- Code Editor: Use any modern code editor like Visual Studio Code.
- Clone the Repository:
git clone <repository_url> cd <project_folder>
- Install dependencies:
npm install
- Run the Project:
npm run dev