National and local news outlets report the results of the Presidential election at the state and county level, but that doesn’t tell me how my neighborhood voted. For that I’ll need the precinct-by-precinct results, which in my area is not reported. Can I calculate it myself? Here’s how.

First you obtain the full King County election results as a precinct-by-precint CSV file and read that into the variable election2020. Although preliminary precinct-level results are posted on election night, the analysis below uses the final numbers that were published November 24th.

Filter the results to look for just the Mercer Island precincts, and further narrow down to just the US Presidential results.

mercerIsland2020<- election2020 %>% dplyr::filter(grepl("M-I",as.character(Precinct))) %>% 
  select(Race,Precinct, CounterType, SumOfCount) %>% tibble()


mi.president.all<-dplyr::filter(mercerIsland2020,grepl("US",Race))   %>% 
  dplyr::select(precinct=Precinct,candidate=CounterType,sum=SumOfCount)

mi.president.all %>% dplyr::filter(candidate!="Times Counted" &
                              candidate!="Registered Voters") %>%
  dplyr::group_by(candidate) %>% 
  dplyr::summarize(sum=sum(sum)) %>%
  dplyr::arrange(desc(sum)) %>%
  dplyr::mutate(pct=sum/sum(sum)*100) %>%
  knitr::kable(digits=3)

## `summarise()` ungrouping output (override with `.groups` argument)

topCandidates<-c("Donald J. Trump and Michael R. Pence",
                 "Jo Jorgensen and Jeremy \"Spike\" Cohen",
                 "Joseph R. Biden and Kamala D. Harris")

mi.president<-mi.president.all %>% dplyr::filter(candidate %in% topCandidates)
mi.president$candidate<-factor(mi.president$candidate)

mi.president.top<-mi.president %>% dplyr::group_by(candidate) %>%
  dplyr::summarize(sum=sum(sum)) %>%
  dplyr::arrange(desc(sum)) %>%
  dplyr::mutate(pct=sum/sum(sum)*100)

## `summarise()` ungrouping output (override with `.groups` argument)

knitr::kable(mi.president.top,digits=3)