Purpose/Goal: Create a database independent data analytics tool that can effectively display historical and simulated data of electricity energy markets provided by ISO New England
Two main components
- Sanity Check: Visualizing the comparison between historical data and chosen simulation data to ensure sanity
- Analysis: Quantifying the results of simulation data with various filtering options
Before you start, make sure you have the following software installed:
- Node.js
- NPM
Once these are installed, follow the instructions below
First time use
- Clone the repository onto your system
- Navigate to the ./backend folder in your terminal
- Run command npm install
- Run command npm start
- Repeat steps 1-3 from the ./data_api and ./client folders
- The program will now be running on a test server at http://localhost:3000/
Future use
- Open a terminal and navigate to
320-TimeSeries-Visualization/client
- Run
npm start
- Repeat steps 1-2 in a new terminal from the ./data_api and ./client folders
- Open http://localhost:3000 in your web browser