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Rising or Falling? Leveraging Bivariate Glyphs to Visualize Trend Changes

An illustration using COVID-19 data

In the London area, the case load is the highest in the country, but has decreased over the last week. Meanwhile the North West area, with a relatively moderate case load, is still seeing an increase in cases.

Using vizent to visualize COVID-19 data

1) A basic example of using vizent

A basic example of a visualization created using vizent

2) Plotting on a map using cartopy

The dataset for the 4th of January
Cartopy provides maps for any location, but in some cases the detail may be insufficient.

3) Using an image background

Reviewing two datasets side-by-side, note that the scales differ.

4) Adjusting the scales

The scales have now been adjusted to match, allowing for direct comparison.

5) Removing replicated legends

By removing identical legends, you can leave more room for the data. The three plots shown have been combined manually for easier viewing.



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