alan-turing-institute / uatk-spc

Synthetic Population Catalyst
https://alan-turing-institute.github.io/uatk-spc/
MIT License
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SPC web app feedback / ideas #49

Open dabreegster opened 1 year ago

dabreegster commented 1 year ago

Please list any changes / ideas / feedback. Screenshots, screenshots with scribbled annotations, text description, etc. Preferably chop into individual items.

HSalat commented 1 year ago

To repro: Checkout the new_schema branch cargo run --release config/England/rutland.txt Go to https://alan-turing-institute.github.io/uatk-spc/dev_app/ and feed it data/output/England/2032/rutland.pb Or you can use a sample https://www.dropbox.com/s/tq6mxtoaiskzips/rutland.pb?dl=0

griff-rees commented 1 year ago

Following @HSalat's instructions to make combined rather than separate issues, some suggestions:

Screenshot 2023-02-22 at 17 18 02

HSalat commented 1 year ago

C/p from Greg in slack: https://venngage.com/blog/color-blind-friendly-palette/

ciupava commented 1 year ago

from memory of what Hadrien showed yesterday, the side graphs column (bottom left) looks very long, one needs to scroll to see all the graphs - probably more accessible if contained within the page height (not sure how feasible)

dabreegster commented 1 year ago

From live review with @HSalat:

dabreegster commented 1 year ago

https://www.ons.gov.uk/census/maps/choropleth/population/household-deprivation/hh-deprivation/household-is-deprived-in-two-dimensions?oa=E00091042 has a nice way of visualizing choropleths -- instead of a big blanket area polygon, just color buildings within those areas.

HSalat commented 1 year ago

Important ++ = Business registry data:

Then

dabreegster commented 1 year ago

Ethnicity, toggle bar chart btwn linear/logarithmic

Ethnicity is now a pie chart, did we want this for something else?

dabreegster commented 1 year ago

The business registry data is not in the SPC output. Are you proposing to add it in a future version, or load the 180MB CSV file in the web app separately?

HSalat commented 1 year ago

For the time being, I would filter the population that has been matched to a workplace and use that data to recover SICs and workplace sizes. I'll try to think of something better in the future e.g. keep basic summary statistics inside about venues in addition to their coordinates.