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It's a little pre-emptive as we haven't started the analysis yet but I love map-making and I thought we could at least discuss some general approaches.
1. Maps
The SDS-G and the Colorado version are presented as choropleth maps which is great for intuitively visualising the relationship of the measures to the local geography. One way of looking at the relationship between SDS-G and covid variables would be using bivariate choropleth maps.
The text was updated successfully, but these errors were encountered:
Suggestions for potential data visualisations
It's a little pre-emptive as we haven't started the analysis yet but I love map-making and I thought we could at least discuss some general approaches.
1. Maps
The SDS-G and the Colorado version are presented as choropleth maps which is great for intuitively visualising the relationship of the measures to the local geography. One way of looking at the relationship between SDS-G and covid variables would be using bivariate choropleth maps.
The text was updated successfully, but these errors were encountered: