This project aims to build a simple web application for visualizing time-series datasets captured from monitoring devices. The web application consists of a Python-based API backend, a NextJs frontend, and a Postgres database for storage. The dataset includes information about devices, parameters (sensors), and captured data, which can be numeric or text type.

The web application allows users to view numeric and text parameter data over time. Users can easily select a particular device and visualize its data through basic tables with tables

• Nextjs Frontend: The React Framework for the Web
• Django Backend: Django intergrated with graphql APIS
• Postgres Database: I Chose PostgreSQL to store my data.
• Charting Library: I used a react-chartjs-2 package to visualise the data using charts.
• Tanstack Table Library: I decided to use Tables visualize parameter data, with filtering and pagination.

1. Clone the Repository: Clone this repository to your local machine.

2. Set Up Backend:

   • Navigate to the backend directory.
   • Instructions on project Readme Django Project Readme

3. Set Up Frontend:

   • Navigate to the frontend directory.
   • Install Latest Version of node using nvm
   • Install dependencies: npm install.
   • make sure the backend is running on port 8000
   • Instructions on project Readme Django Project Readme