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We want to have efficient dashboards that load/update quickly.
To test this it might take some time.
Let's get a single-page dashboard done quickly so we can test for performance.
Components
Overview
We want to create a simple, single-page app.
Create the title "Net Income"
Address Filtering*
Right below the title. Create 1 title + input text_field: "Predictoor Address"
Users will be able to enter comma-delineated addresses, which will then be fed into the plot.
Use Predictoor Income Plot
Embed the plot we created.
Addresses input in the text fied, should be fed into the plot.
Plot should update.
DoD
Embedd "Predictoor Income" plot into UI
Add "Address Filter" input text_field, where user can pass in multiple-addresses, comma-delinieated. Chart should update live.
Do not add any other input/selection UI elements.
Tests - Add tests showing plots and filters are working as expected
The text was updated successfully, but these errors were encountered:
idiom-bytes
changed the title
[Analytics][Tech Spike] Test "Predictoor Income" plot against different python frontends
[Analytics][Tech Spike Streamlit] Embed "Predictoor Income" into streamlit
Feb 15, 2024
idiom-bytes
changed the title
[Analytics][Tech Spike Streamlit] Embed "Predictoor Income" into streamlit
[Analytics][SPA Test] Embed "Predictoor Income" into app
Feb 15, 2024
Motivation
We want to have efficient dashboards that load/update quickly.
To test this it might take some time.
Let's get a single-page dashboard done quickly so we can test for performance.
Components
Overview
We want to create a simple, single-page app.
Create the title "Net Income"
Address Filtering*
Right below the title. Create 1 title + input text_field: "Predictoor Address"
Users will be able to enter comma-delineated addresses, which will then be fed into the plot.
Use Predictoor Income Plot
Embed the plot we created.
Addresses input in the text fied, should be fed into the plot.
Plot should update.
DoD
The text was updated successfully, but these errors were encountered: