This repository contains a full-stack application designed to explore data from ElasticSearch indices and visualize it using charts and graphs. The backend is built using Node.js and the frontend is powered by React.

• 🐳 Docker installed (recommended)
• Alternatively, ensure 🌍 Node.js and 📦 Yarn are installed locally.

1. 📂 Clone or fork this repository.

2. Navigate to the root folder.

3. Run the following command to start the project:

   docker compose up

4. 🖥️ Open your browser and navigate to http://localhost:3000 to view the application.

1. 📂 Clone or fork this repository.

2. Navigate to the backend folder and run:

   yarn start

3. In a separate terminal, navigate to the frontend folder and run:

   yarn start

4. 🖥️ Open your browser and navigate to http://localhost:3000 to view the application.

• 🛠️ Node.js backend with a connection to an ElasticSearch node.
• 🗃️ Two pre-populated indices:
  • org - Collection of organizations. Accessed via http://localhost:8080/orgs.
  • funding - Collection of funding rounds. Accessed via http://localhost:8080/fundings.
• Endpoint implementations located in backend/src/index.js.
• Use yarn start to start the backend in development mode.
• Additional scripts:
  • yarn test - Run tests using Jest.
  • yarn format - Automatically format the codebase using Prettier.

• 🎨 React-based frontend using various charting libraries:
  • @mui/x-charts for interactive charts.
  • react-chartjs-2 for advanced chart customization.
• Displays two interactive tables:
  • OrgTable for organizations data, with built-in filters and menus for easy data manipulation.
  • FundingTable for funding data, with similar built-in features for filtering and sorting.
• Includes two interactive charts:
  • A pie chart (FundingChart) for funding data, allowing you to toggle company visibility by clicking on the legend.
  • A pillar chart (CompanySizeChart) for organizations data.
• Predefined npm scripts to streamline development.
• Use yarn start to start the production server.
• Additional scripts:
  • yarn build - Build the production version of the application.
  • yarn test - Run tests using Jest.
  • yarn format - Automatically format the codebase using Prettier.

Table View: Shows data tables with interactive filters and menus.

Pie Chart View: Demonstrates how company visibility can be toggled on and off.

The project has a CI pipeline using GitHub Actions. The workflow includes:

1. 📂 Checking out the code.
2. 📦 Installing dependencies and running tests for both frontend and backend.
3. 🎨 Running Prettier for code formatting checks.
4. 🐳 Building and running Docker services.

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature).
3. Commit your changes (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature/your-feature).
5. Create a Pull Request.

This project is licensed under the MIT License.