In my quest to get people to use more dot maps, I’ve decided to show a third example where I think the style is uniquely good. Namely, the U.S. election presidential election results for 2000-2020. Currently I think election maps in the US have two issues.
First, they tend to show America as a “red” vs. a “blue” country. With maps like this:
There is, of course, a grain of truth to these maps, but they also obscures the fact that even in the most partisan parts of this country you still have significant numbers of voters from both parties.
But even if you fix this and have a more graduated color map like this one:
You still fail to communicate where the electorate actually lives!
Well, luckily the dot map once again solves all of these problems.
This data was collected from the MIT Election Dataset. They have updated data from 2000–2024; however I’m using an earlier download of just the data through 2020.
Each dot represents 1,000 people. I found this to be a sweet spot, nevertheless it still underreports the true size of urban voters, their dots are overlapping. Since we have a bias to smaller rural states in the electoral college I think this is mostly okay. I have written the code so that it attempts to match the distribution of votes in the city visually, thus color accurately communicates the proportionality even if dots are overlapping.
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That seems like a bad example to me. Its really difficult to tell the ratio of the mixed places, or any kind of colour in the thinly populated areas. 2020 looks noticably redder than 2000. I think it would be better to start with the graduated colour map and add the density somehow - maybe vary saturation?
Couldn’t share pics in a comment under a post, so I had to restack with my thoughts