Dashboard

Visible at http://dashboard.scel-hawaii.org the dashboard provides a means for anyone to access and view the data we are collecting. A module of the Unified Software Team.

Dashboard Repository:

• https://github.com/scel-hawaii/dashboard

• Deployed at http://dashboard.scel-hawaii.org
• Developed with Python Django Web Framework and Semantic UI Front-End Framework
• Connected to Database Module
• Currently using Plotly for Python to generate plots

• Better handling of data
  • Faster load times
  • Generating plots on client using JavaScript
• Display data across generations on a single plot
  • Allow for comparison of data between boxes
  • Current plotting function allows for generating plots with data from multiple boxes
• Collaborate with Forecasting team
  • Apply their algorithms to display weather “predictions”
• Implement real-time updating plots
• Improve quality of viewing on mobile devices

• Provide human readable data for the other lab members and general public
• Effectively and accurately display gathered data for each weatherbox generation

1. Install Python
2. Install pip
3. Clone git repository at http://github.com/scel-hawaii/dashboard
4. pip install plotly
5. pip install numpy
6. pip install django
7. Verify dashboard is working by running the following command on master branch: python manage.py runserver
8. On web browser go to 127.0.0.1:8000 to view the dashboard
9. If you don't see it or get an error, something went wrong

• You can also use a virtualenvironment for the Python packages if you wish

• Instructions for testing the Dashboard on a VM with database

Deploying the Dashboard on Server

• Instructions for deploying the Dashboard

• Noticeable load time of plots causing entire page to hang
  • Utilize separate process to handle plot generation
  • Load the plots with HTTP Request to specific url