Closed deanmarchiori closed 1 year ago
Data exported as simplified geoJSON ~ 5MB uncompressed.
Simplification done using Visvalingam algorithm with 10% vertex retention.
I might set some time up on Monday for you, me and Suzannah to review language for the hotspot map too. I want to make sure we get our labels right for the categories vis-a-vis Mindframe too! (Not saying there's necessarily a problem currently, just want to make sure we have a discussion about it.)
I've made small tweaks to the popup text and basemap tile set, although we'll do another look at it alongside the other language with Zan.
I also think it might make sense to reverse the colour pairs for isolated hot/cold spots and non-isolated ones, so that isolated hot spot is dark red, hotspot is orange, isolated cold spot is dark blue and coldspot is light blue. To my mind, the diagonals are the ones that ought to stand out the most (although this is arguably a subjective choice!).
I also meant to ask:
I also meant to ask:
- A few places have 0% rates. Is that because they don't have any kids at all, or just none who reported a diagnosis?
- A few places have extremely high rates—Fyshwick in ACT stands out to me with 60%. I'm guessing this is another low population area. Should we consider marking a few of these out? We can add a notes column to the spreadsheet and include the note in the tooltip if a qualification is necessary.
added low population tooltip note via commit https://github.com/360-info/report-youth-mental-health-social-media/commit/4db7e518bfaf814e8956c0f8c84d9b10957b3b74
Improvements by James completed and story published to Flourish https://public.flourish.studio/story/2047492/
To allow for a platform agnostic approach: