Election data can be portrayed in a a variety of ways such that the results appear quite different depending on which map style is used, despite using the same data. For instance, when viewing a common red/blue state map, the 2016 election results seem skewed drastically toward the Republican side. On the other hand, a dot density map is much more ambiguous, creating many spots of both red and blue dots so combined that it is hard to differentiate between them. A county level map can show more heterogeneity and specificity within states, but can appear cluttered. In essence, larger enumeration units are more viewer-friendly, but they generalize more, which means they erase minority categories more.

For this map, I used state-level enumeration units with proportional, unitless pie charts representing vote ratios in every state. This portrays the voter split. Keep in mind that the charts could be manipulated by showing percentages of counties won by each party, rather than individual votes cast for each party.