Mercer Island local election results
How to calculate Mercer Island precinct-level 2020 presidential election results using R and King County CSV data.
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.
Code
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)Top Candidates
Sometimes it’s nice to compare just among votes case for the “top candidates”, like this:
Code
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)
knitr::kable(mi.president.top,digits=3)You can compare with the Mercer Island 2016 Results
and that’s it!
