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Looking in more detail at the Trump and Biden election return distributions we see below:
| Fig 3 | Fig 4 from | Fig 5 | ||
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It is seen in Fig 3 that there are over four times more counties won by Trump compared to counties won by Biden. This can also be observed in Fig 4 by looking at a map of results by county from https://brilliantmaps.com/2020-county-election-map/. However, as one includes the county populations in Fig 5 by means of a bubble plot one can see the impact leans more to Biden.
Various Demographics
Here we look at the correlations between various demographics etc.
Presidential election 2020
Another way of observing how Biden was more popular in the more densely populated counties is seen in Fig 6 where we plot the point difference against the population density and see that the Pearson R2 correlation (a measure of the total variation of y explained by the predictor (regressor) x) is ~28%, and the Pearson r (the correlation between x and y) = sqrt(R2) ~ 53%.
Fig 6 |
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