This sprint, we set up all the data needed for the front-end. This PR subs in dynamically generated data to the frontend, which previously showed static dummy data.
Connects #41
Connects #43
(I accidentally did both)
Demo
Notes
You will see some TODOs. We will need some guidance from the client about how the variable score translates to qualitative buckets (positive, warning, and negative) given its range (i.e. 1-50NTU for Turbidity). For now, it was decided to just categorize scores as positive and negative if they are in or outside the range, respectively.
I was tempted to roll in #64, but am anticipating a fair amount of conflict rebasing on #63 already so I forewent that.
Overview
This sprint, we set up all the data needed for the front-end. This PR subs in dynamically generated data to the frontend, which previously showed static dummy data.
Connects #41 Connects #43
(I accidentally did both)
Demo
Notes
You will see some TODOs. We will need some guidance from the client about how the variable score translates to qualitative buckets (positive, warning, and negative) given its range (i.e. 1-50NTU for Turbidity). For now, it was decided to just categorize scores as positive and negative if they are in or outside the range, respectively.
I was tempted to roll in #64, but am anticipating a fair amount of conflict rebasing on #63 already so I forewent that.
Testing Instructions
Netlify will suffice.