Choropleth maps - or maps that use color, shading or patterns to show quantitative differences - are some of the most common ways to visualize how counties as well as states are voting, even though they rarely come with the important disclaimer that land doesn’t vote. That infamous lesson in misleading maps is worth revisiting, because newscasts, websites and social media are likely to be full of similar-looking ones after the Nov. Their numbers were concentrated, just as most of the support for this year’s Democratic candidate, Joe Biden, is likely to be. The map - a sea of red, with the words “Try to impeach this” - generated an uproar, because it was highly misleading: The rural counties that supported Trump represent a lot of land mass, but don’t have nearly as many people as the urban ones that voted for Democratic candidate Hillary Clinton. presidential election, with results shown at the county level using the standard partisan color convention. In these cases, we drop the entire county from our GeoJSON.In October 2019, in the lead-up to his impeachment trial, President Donald Trump tweeted a map of the 2016 U.S. This occurs when a county reports, say, all of its absentee ballots together as a single row in its Excel download (instead of precinct-by-precinct) because we can't attribute those ballots to specific precincts, that means that all precincts in the county will be missing an indeterminite number of votes, and therefore can't be reliably mapped. Note: One of the most common causes of precinct data being unusable is "countywide" tabulations. Have gathered data, but doesn't cover entire state or has other significant caveats Have gathered data, no significant caveats State-by-state data availability and caveats symbol A few areas, such as rural Vermont, Hawaii, Nevada, and Nebraska, contain no voters, and those polygons are excluded from the GeoJSON.A very small portion of the tabular precinct results (roughly 0.01%) could not be joined to the precinct boundaries, and thus these results are not present in the GeoJSON.Wherever write-ins are not reported by the data source, our vote totals are marginally off.
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