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Visualizing How Voting has Changed Between the 2016 and 2020 U.S. Presidential Elections

Center for Data Innovation: “Reuters has created a series of visualizations that show how county-level votes (where at least 95 percent of expected votes have been counted) have changed between the 2016 U.S. presidential election and the 2020 U.S. presidential election. One visualization shows that counties with large numbers of Hispanic voters, which have historically favored Democrats, favored President Donald Trump during the 2020 election. For example, while 2016 Democratic nominee Hillary Clinton won Starr County, Texas by 60 percentage points, President-elect Joe Biden only won the county by 5 percentage points, making Starr County the largest swing to Trump of any U.S. county. Another visualization shows that in counties where COVID-19 has killed at least 70 people per 100,000 residents, support has increased most significantly for Trump…”

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