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Keyword Analysis Dashboard

Overview

The Keyword Analysis Dashboard is a powerful tool designed to help marketers and SEO professionals analyze keyword data efficiently. This dashboard allows users to upload keyword data, configure analysis parameters, and visualize the results through interactive charts and tables.

Screenshot 2024-10-15 at 12 19 32

Features

  • File Upload: Easily upload CSV files containing keyword data.
  • Customizable Analysis: Configure parameters for top keywords, niche keywords, and low bid keywords.
  • Interactive Visualizations: View data in both table and chart formats.
  • Data Export: Download analyzed data as CSV files for further processing.
  • Responsive Design: Works seamlessly on desktop and mobile devices.

Getting Started

Prerequisites

  • Node.js (v14 or later)
  • npm or yarn

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/keyword-analysis-dashboard.git

  2. Navigate to the project directory:

    cd keyword-analysis-dashboard

  3. Install dependencies:

    npm install

    or

    yarn install

  4. Start the development server:

    npm run dev

    or

    yarn dev

  5. Open your browser and visit http://localhost:3000 to view the dashboard.

Usage

  1. Upload Data: Click on the file input to upload your CSV file containing keyword data.

  2. Configure Analysis: Adjust the parameters in the Analysis Configuration section to customize your analysis.

  3. Analyze Keywords: Click the "Analyze Keywords" button to process the data.

  4. View Results: Scroll down to see the results in table format for Top Keywords, Niche Keywords, and Low Bid Keywords.

  5. Visualize Data: Click the "View Chart" button for each category to see a graphical representation of the data.

  6. Export Data: Use the "Download CSV" button to export the analyzed data for each category.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments