├── .gitignore ├── Delegate_Apportionment.pdf ├── README_files └── figure-markdown_strict │ └── unnamed-chunk-3-1.png ├── Iowa Caucus Inconsistencies.Rproj ├── iowa_dems_data_cleaning.R ├── County Level Analysis.R ├── theme_powerbi.R ├── Precincts.R ├── viable_to_nonviable_analysis.R ├── Delegate Apportionment_Page 1_Pivot table.csv └── README.md /.gitignore: -------------------------------------------------------------------------------- 1 | .Rproj.user 2 | .Rhistory 3 | .RData 4 | .Ruserdata 5 | -------------------------------------------------------------------------------- /Delegate_Apportionment.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GOliveira10/Iowa-Caucus-Inconsistencies/HEAD/Delegate_Apportionment.pdf -------------------------------------------------------------------------------- /README_files/figure-markdown_strict/unnamed-chunk-3-1.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/GOliveira10/Iowa-Caucus-Inconsistencies/HEAD/README_files/figure-markdown_strict/unnamed-chunk-3-1.png -------------------------------------------------------------------------------- /Iowa Caucus Inconsistencies.Rproj: -------------------------------------------------------------------------------- 1 | Version: 1.0 2 | 3 | RestoreWorkspace: Default 4 | SaveWorkspace: Default 5 | AlwaysSaveHistory: Default 6 | 7 | EnableCodeIndexing: Yes 8 | UseSpacesForTab: Yes 9 | NumSpacesForTab: 2 10 | Encoding: UTF-8 11 | 12 | RnwWeave: Sweave 13 | LaTeX: pdfLaTeX 14 | -------------------------------------------------------------------------------- /iowa_dems_data_cleaning.R: -------------------------------------------------------------------------------- 1 | library(tidyverse) 2 | 3 | iowa_data <- read_csv("iowadems_resumts_0205_8PM.csv") 4 | 5 | new_names <- paste(names(iowa_data), iowa_data[1,], sep = "_") 6 | 7 | new_names <- new_names %>% stringr::str_replace_all(" ", "_") %>% 8 | stringr::str_replace_all("1_", "") %>% 9 | stringr::str_replace_all("2_", "") %>% 10 | stringr::str_replace_all("Final_Expression", "final") %>% 11 | stringr::str_replace_all("First_Expression", "first") 12 | 13 | iowa_data <- iowa_data[-(1:2),] 14 | names(iowa_data) <- new_names 15 | 16 | iowa_data <- iowa_data %>% 17 | rename(County = candidate_subhead, precinct = XNA) %>% 18 | filter(precinct != "Total") 19 | 20 | iowa_data <- iowa_data %>% 21 | pivot_longer(cols = -c(County, precinct), names_to = "cand_round", values_to = "result") %>% 22 | separate(cand_round, into = c("candidate", "round")) 23 | 24 | iowa_data %>% 25 | write_csv("cleaned_iowa_dems_data.csv") 26 | 27 | d <- read_csv("Delegate Apportionment_Page 1_Pivot table.csv") 28 | d <- d %>% 29 | rename(precinct = `Precinct Short Name`, 30 | precinct_delegates = `Delegates to County Convention`, 31 | sde = `State Delegate Equivalents`) 32 | 33 | left_join(iowa_data, d) 34 | 35 | 36 | 37 | iowa_names <- read_tsv("iowadems_resumts_0205_8PM.csv", n_max = 0) %>% names() 38 | iowa_names2 <- read_tsv("iowadems_resumts_0205_8PM.csv", n_max = 0, skip = 1) %>% names() 39 | iowa_names2 40 | -------------------------------------------------------------------------------- /County Level Analysis.R: -------------------------------------------------------------------------------- 1 | 2 | ## Some earlier work looking at county by county breakdowns 3 | 4 | url <- 'https://www.nytimes.com/interactive/2020/02/04/us/elections/results-iowa-caucus.html' 5 | 6 | 7 | iowa_data <- url %>% 8 | read_html() %>% 9 | html_nodes(xpath = '//*[@id="ia-17275-2020-02-03-county"]/table') %>% 10 | html_table() %>% flatten_dfc() 11 | 12 | 13 | 14 | iowa_data <- iowa_data %>% 15 | mutate(`Rpt.` = str_remove_all(`Rpt.`, "%")) 16 | 17 | 18 | iowa_data[,-1] <- sapply(iowa_data[,-1], as.double) %>% as_tibble() 19 | 20 | iowa_data <- iowa_data %>% 21 | mutate(`Rpt.` = `Rpt.`/100) 22 | 23 | iowa_melt <- iowa_data %>% 24 | melt(id.vars = c("County", "Rpt.")) %>% 25 | group_by(County) %>% 26 | mutate(Leader = paste0(variable[value == max(value)], collapse = "/")) 27 | 28 | iowa_melt$Leader <- as.factor(iowa_melt$Leader) 29 | 30 | iowa_melt <- iowa_melt %>% 31 | mutate(Leader = as_factor(Leader)) %>% 32 | rename(Candidate = variable) %>% 33 | mutate(Leader = fct_reorder(Leader, value, .fun = median)) 34 | 35 | ## Distribution of precincts left to report by county leader 36 | iowa_melt %>% drop_na() %>% filter(`Rpt.` > 0) %>% 37 | ggplot(aes(x=Leader, y = `Rpt.`, fill = Leader)) + geom_violin() + 38 | ggtitle("Reporting Percentage By Leader") + 39 | scale_y_continuous(labels = scales::percent) + 40 | theme_powerbi() + scale_fill_powerbi() 41 | 42 | 43 | library(tidycensus) 44 | 45 | # You'll need to go get a census api key for this 46 | # census_api_key(api_key, install = TRUE) 47 | 48 | 49 | us_county_income <- get_acs(geography = "county", variables = "B19013_001", 50 | shift_geo = FALSE, geometry = FALSE) 51 | 52 | 53 | iowa_county_income <- us_county_income %>% 54 | select(-GEOID, -variable, -moe) %>% 55 | separate(NAME, into = c("County", "State"), sep = ", ") %>% 56 | mutate(County = trimws(str_remove_all(County, " County"))) %>% 57 | filter(State == "Iowa") %>% 58 | rename(`Median Household Income` = estimate) 59 | 60 | ## County level vote percentages by median household income. Not too much of interest here. 61 | iowa_data %>% 62 | inner_join(iowa_county_income, by = "County") %>% 63 | select(-`Rpt.`, -State) %>% 64 | melt(id.vars = c("Median Household Income", "County")) %>% 65 | group_by(County) %>% 66 | mutate(TotalDels = sum(value)) %>% 67 | mutate(`Percent of Delegates` = value/TotalDels,) %>% 68 | ggplot(aes(x=`Median Household Income`, y = `Percent of Delegates`, color = variable)) + 69 | geom_point() + geom_smooth(method = "lm") + 70 | facet_wrap(~variable) + theme_powerbi() + scale_color_powerbi() + 71 | ggtitle("Share of Delegates by County Median Household Income") + 72 | labs(color = "Candidate") + 73 | scale_y_continuous(labels = scales::percent) + scale_x_continuous(labels = scales::dollar) 74 | 75 | 76 | -------------------------------------------------------------------------------- /theme_powerbi.R: -------------------------------------------------------------------------------- 1 | library(extrafont) 2 | 3 | theme_powerbi <- function(){ 4 | powerbi_theme <- theme(text = element_text(family = "Segoe UI"), 5 | plot.title = element_text(size = 16, family = "Segoe UI", colour = "#2A82CB"), 6 | axis.text = element_text(size=11, family="Segoe UI", colour="#5F6B6D"), 7 | axis.ticks = element_blank(), 8 | axis.title = element_text(size=11, family="Segoe UI", colour="#5F6B6D"), 9 | legend.text = element_text(size=11, family="Segoe UI"), 10 | panel.grid.major.y = element_line( size=.1, color= "lightgrey"), 11 | panel.grid.major.x = element_blank(), 12 | panel.background = element_blank() 13 | ) 14 | return(powerbi_theme) 15 | } 16 | 17 | powerbi_palette <- function(palette = "main", reverse = FALSE, ...){ 18 | 19 | palette_options <- function(...){ 20 | PowerBIPalette <- c("bluegreen" = "#01B8AA", 21 | "darkgrey" = "#374649", 22 | "redorange" = "#FD625E", 23 | "yellow" = "#F2C80F", 24 | "grey" = "#5F6B6D", 25 | "skyblue" = "#8AD4EB", 26 | "orange" = "#FE9666", 27 | "purple" = "#A66999", 28 | "blue" = "#3599B8", 29 | "pink" = "#DFBFBF") 30 | 31 | cols <- c(...) 32 | if(is.null(cols)) 33 | return (PowerBIPalette) 34 | 35 | PowerBIPalette[cols] 36 | } 37 | 38 | palettes <- list( 39 | `main` = palette_options(c("bluegreen", 40 | "darkgrey", 41 | "redorange", 42 | "yellow", 43 | "grey", 44 | "skyblue", 45 | "orange", 46 | "purple", 47 | "blue", 48 | "pink") 49 | ) 50 | ) 51 | 52 | pal <- palettes[[palette]] 53 | 54 | if (reverse) pal <- rev(pal) 55 | 56 | colorRampPalette(pal, ...) 57 | } 58 | 59 | 60 | scale_fill_powerbi <- function(palette = "main", discrete = TRUE, reverse = FALSE, ...) { 61 | pal <- powerbi_palette(palette = palette, reverse = reverse) 62 | 63 | if (discrete) { 64 | discrete_scale("fill", paste0("powerbi_", palette), palette = pal, ...) 65 | } else { 66 | scale_fill_gradientn(colours = pal(256), ...) 67 | } 68 | } 69 | 70 | 71 | 72 | 73 | scale_color_powerbi <- function(palette = "main", discrete = TRUE, reverse = FALSE, ...) { 74 | pal <- powerbi_palette(palette = palette, reverse = reverse) 75 | 76 | if (discrete) { 77 | discrete_scale("color", paste0("powerbi_", palette), palette = pal, ...) 78 | } else { 79 | scale_color_gradientn(colours = pal(256), ...) 80 | } 81 | } 82 | -------------------------------------------------------------------------------- /Precincts.R: -------------------------------------------------------------------------------- 1 | library(rvest) 2 | library(tidyverse) 3 | library(tidycensus) 4 | library(httr) 5 | library(reshape2) 6 | 7 | source("./theme_powerbi.R") 8 | 9 | precincts <- GET("https://int.nyt.com/applications/elections/2020/data/api/2020-02-03/precincts/IowaDemPrecinctsSFTP-latest.json") %>% 10 | content() 11 | 12 | 13 | precincts <- precincts$precincts %>% 14 | map_if(negate(is.list), function(x) flatten_chr(x)) %>% 15 | enframe() 16 | 17 | 18 | results <- precincts$value %>% map("results") %>% bind_rows() 19 | results_first_alignment <- precincts$value %>% map("results_align1") %>% bind_rows() 20 | results_final_alignment <- precincts$value %>% map("results_alignfinal") %>% bind_rows() 21 | 22 | ## Ugly but doing it on the fly 23 | precinct_details <- precincts$value %>% 24 | map(function(x) keep(x, negate(is.list))) %>% 25 | map(bind_rows) %>% map(sapply, as.character) %>% 26 | map(bind_rows) %>% bind_rows() 27 | 28 | precinct_details <- precinct_details %>% 29 | mutate(precinct = paste0(precinct, "-", precinct_id)) 30 | 31 | 32 | precinct_names <- precinct_details %>% 33 | select(precinct, is_complete) 34 | 35 | 36 | ## Combine first alignment results with precinct details 37 | first_alignment_results <- results_first_alignment %>% bind_cols(precinct_names) %>% 38 | melt(id.vars = c("precinct", "is_complete")) %>% rename(candidate = variable, votes_first = value) %>% 39 | group_by(precinct) %>% mutate(total_first = sum(votes_first)) %>% 40 | group_by(precinct, candidate) %>% mutate(percent_first = votes_first/total_first) %>% 41 | mutate(candidate_not_viable_first = ifelse(percent_first < .15, TRUE, FALSE)) %>% 42 | group_by(candidate) %>% 43 | ungroup() 44 | 45 | 46 | ## Same same with final results 47 | final_alignment_results <- results_final_alignment %>% bind_cols(precinct_names) %>% 48 | melt(id.vars = c("precinct", "is_complete")) %>% rename(candidate = variable, votes_final = value) %>% 49 | group_by(precinct) %>% mutate(total_final = sum(votes_final)) %>% 50 | group_by(precinct, candidate) %>% mutate(percent_final = votes_final/total_final) %>% 51 | mutate(candidate_viable_final = ifelse(percent_final > .15, TRUE, FALSE)) %>% 52 | ungroup() 53 | 54 | 55 | results_full <- first_alignment_results %>% 56 | left_join(final_alignment_results, by = c("precinct", "candidate", "is_complete")) %>% 57 | mutate(change_from_first = votes_final - votes_first) 58 | 59 | 60 | viability <- results_full %>% filter(is_complete == "TRUE") %>% 61 | select(precinct, candidate, candidate_not_viable_first) %>% 62 | mutate(candidate = paste0(candidate, "_not_viable_after_first")) %>% 63 | dcast(precinct ~ candidate) 64 | 65 | 66 | change_between_rounds <- results_full %>% 67 | filter(is_complete == "TRUE") %>% 68 | select(precinct, candidate, change_from_first) %>% 69 | mutate(candidate = paste0(candidate, "_change")) %>% 70 | dcast(precinct~candidate) 71 | 72 | 73 | change_between_rounds %>% 74 | inner_join(viability, by = "precinct") %>% 75 | select(-precinct) %>% cor() %>% 76 | as_tibble(rownames = "corr") %>% 77 | filter(str_detect(corr, "change")) %>% 78 | select(contains("viable"), corr) %>% 79 | column_to_rownames(var = "corr") %>% 80 | as.matrix() %>% ggcorrplot::ggcorrplot(lab = TRUE, insig = "blank", colors = c("red3", "white", "green3")) + 81 | ggtitle("Correlations Between Non-Viable Candidates and Second Round Gains") + 82 | theme_powerbi() 83 | 84 | 85 | ## Coded few conditions that might be of interest. 86 | results_full %>% 87 | group_by(precinct) %>% 88 | mutate(unviable_to_viable = ifelse((candidate_not_viable_first & candidate_viable_final & 89 | !candidate %in% c("other", "uncommitted")), TRUE, FALSE), 90 | viable_to_unviable = ifelse((!candidate_not_viable_first & !candidate_viable_final & 91 | !candidate %in% c("other", "uncommitted")), TRUE, FALSE), 92 | zero_votes_to_nonzero_votes = ifelse((votes_first == 0 & votes_final > 0), TRUE, FALSE), 93 | viable_to_zero_votes = ifelse((!candidate_not_viable_first & votes_final == 0 & 94 | !candidate %in% c("other", "uncommitted")), TRUE, FALSE)) %>% 95 | group_by(precinct) %>% arrange(precinct, candidate) %>% 96 | mutate(mickey_mouse_shit = ifelse((zero_votes_to_nonzero_votes|viable_to_zero_votes), TRUE, FALSE)) %>% 97 | group_by(precinct) %>% 98 | mutate(precincts_with_mms = max(mickey_mouse_shit)) %>% 99 | filter(precincts_with_mms == 1) %>% 100 | arrange(precinct, candidate) %>% 101 | select(viable_to_zero_votes, zero_votes_to_nonzero_votes, viable_to_unviable, 102 | unviable_to_viable, everything()) %>% 103 | filter(viable_to_zero_votes & !candidate %in% c("other", "uncommitted")) %>% view() 104 | 105 | 106 | -------------------------------------------------------------------------------- /viable_to_nonviable_analysis.R: -------------------------------------------------------------------------------- 1 | library(rvest) 2 | library(tidyverse) 3 | library(httr) 4 | 5 | # For questions contact @MCulshawMaurer on twitter or @MCMaurer on GitHub 6 | 7 | # pull the data in and get the relevant results 8 | precincts <- GET("https://int.nyt.com/applications/elections/2020/data/api/2020-02-03/precincts/IowaDemPrecinctsSFTP-latest.json") %>% 9 | content() 10 | precincts 11 | precincts$precincts 12 | precincts <- precincts$precincts %>% 13 | map_if(negate(is.list), function(x) flatten_chr(x)) %>% enframe() 14 | 15 | # making the results into something legible 16 | results <- precincts$value %>% 17 | map(unlist) %>% 18 | map(map, as.character) %>% 19 | map(bind_rows) %>% 20 | bind_rows() %>% 21 | rename(County = locality_name) 22 | 23 | # reading in the delegate counts per precinct, which are used for determining the viability threshold for a precinct 24 | d <- read_csv("Delegate Apportionment_Page 1_Pivot table.csv") 25 | d <- d %>% 26 | rename(precinct = `Precinct Short Name`, 27 | precinct_delegates = `Delegates to County Convention`, 28 | sde = `State Delegate Equivalents`) 29 | 30 | results <- left_join(results, d) 31 | 32 | results 33 | 34 | # clean the data up so candidates are listed nicely, the right columns are numeric and such, and then at the end, set the viability threshold based on the official guidelines here: https://acc99235-748f-4706-80f5-4b87384c1fb7.filesusr.com/ugd/5af8f4_3abefbb734444842ae1abf985876cce8.pdf 35 | results <- results %>% 36 | pivot_longer(cols = -c(1:7, 50:54), names_to = "result_type", values_to = "result") %>% 37 | mutate(result_type = stringr::str_remove_all(result_type, "results_")) %>% 38 | separate(col = result_type, into = c("round", "candidate")) %>% 39 | map_at(vars(votes, votes_align1, votes_alignfinal, result), as.numeric) %>% 40 | as_tibble() %>% 41 | select(-c(locality_fips, geo_id, locality_type)) %>% 42 | filter(round != "results") %>% 43 | mutate(is_complete = as.logical(is_complete)) %>% 44 | mutate(precinct_full = paste(precinct, precinct_id, sep = "_")) %>% 45 | pivot_wider(names_from = round, values_from = result) %>% 46 | mutate(viability_threshold = case_when( 47 | precinct_delegates >= 4 ~ ceiling(0.15*votes_align1), 48 | precinct_delegates == 3 ~ ceiling((1/6)*votes_align1), 49 | precinct_delegates == 2 ~ ceiling(0.25*votes_align1), 50 | precinct_delegates == 1 ~ ceiling(0.5*votes_align1), 51 | TRUE ~ NA_real_ 52 | )) 53 | 54 | results %>% 55 | select(candidate, align1, alignfinal, viability_threshold) 56 | 57 | # figure out cases where candidates are ABOVE the viability threshold in round 1 and BELOW in the final round 58 | results <- results %>% 59 | mutate(viable1 = align1 > viability_threshold, 60 | viablefinal = alignfinal > viability_threshold, 61 | weird = (viable1 & !viablefinal)) %>% 62 | pivot_longer(cols = c("align1", "alignfinal"), names_to = "round", values_to = "result") 63 | 64 | results %>% 65 | write_csv(paste0("cleaned_nyt_results", Sys.time() ,".csv")) 66 | 67 | results %>% 68 | filter(weird) %>% 69 | select(precinct, County, candidate, round, result, viable1, viablefinal, viability_threshold, votes_align1) %>% 70 | print(n = Inf) 71 | 72 | results %>% 73 | filter(precinct == "ORGM") %>% 74 | select(precinct, County, candidate, round, result, viable1, viablefinal,precinct_delegates, viability_threshold, votes_align1) %>% 75 | print(n = Inf) 76 | 77 | results %>% 78 | filter(precinct == "WDM-312") %>% 79 | select(precinct, County, candidate, round, result, viable1, viablefinal,precinct_delegates, viability_threshold, votes_align1) %>% 80 | print(n = Inf) 81 | 82 | results %>% 83 | filter(precinct == "WDM-312") %>% 84 | group_by(round) %>% 85 | summarise(total_votes = sum(result)) 86 | 87 | results %>% 88 | filter(precinct == "DO") %>% 89 | group_by(round) %>% 90 | summarise(total_votes = sum(result)) 91 | 92 | # cases where viable round 1 candidates see their vote totals go DOWN for the final count 93 | results %>% 94 | pivot_wider(names_from = round, values_from = result) %>% 95 | filter(alignfinal < align1, alignfinal > 0) %>% 96 | select(precinct, County, candidate, align1, alignfinal, viable1, viablefinal, viability_threshold, ) %>% 97 | print(n = Inf) 98 | 99 | # same as above, but these are cases where the total votes cast is the SAME in each round 100 | results %>% 101 | pivot_wider(names_from = round, values_from = result) %>% 102 | filter(alignfinal < align1, alignfinal > 0, votes_align1 == votes_alignfinal) %>% 103 | select(precinct, County, candidate, align1, alignfinal, viable1, viablefinal, viability_threshold, ) %>% 104 | filter(viable1) %>% 105 | print(n = Inf) 106 | 107 | viablegroups <- results %>% 108 | filter(viable1) %>% 109 | group_by(precinct_full) %>% 110 | tally(name = "num_viable1_cand") 111 | 112 | results <- left_join(results, viablegroups) 113 | 114 | # find precincts where the weird results happened, ignoring cases of uncommitted 115 | 116 | viable_non_precincts <- results %>% 117 | filter(weird, candidate != "uncommitted") %>% 118 | .$precinct_full 119 | viable_non_precincts 120 | 121 | # set a nice color palette 122 | palette <- tmaptools::get_brewer_pal("Accent", n = 14) 123 | 124 | # now plot the data as a paired stacked barchart, and outline all the weird occurrences in red 125 | g <- results %>% 126 | filter(precinct_full %in% viable_non_precincts, candidate != "uncommitted") %>% 127 | ggplot(aes(x = round, y = result, group = candidate, fill = candidate)) + 128 | geom_bar(stat = "identity", aes(color = weird)) + 129 | facet_wrap(~ precinct_full, scales = "free_y") + 130 | scale_fill_manual(values = palette) + 131 | scale_color_manual(values = c(NA, "red")) + 132 | MCMsBasics::minimal_ggplot_theme() 133 | 134 | ggsave(plot = g, filename = "~/iowa_2020_results_viablenon_precinct.jpg", width = 16, height = 16) 135 | 136 | # same thing but INCLUDING uncommitted 137 | 138 | # also have to account for that fact that the weirdness is OK if the number of viable groups in the 1st round exceeds the total number of precinct delegates: https://twitter.com/SimonNarode/status/1225223993566924800?s=20 139 | 140 | viable_non_precincts <- results %>% 141 | filter(weird, num_viable1_cand < precinct_delegates) %>% 142 | .$precinct_full 143 | 144 | # now plot the data as a paired stacked barchart, and outline all the weird occurrences in red 145 | 146 | g <- results %>% 147 | filter(precinct_full %in% viable_non_precincts) %>% 148 | ggplot(aes(x = round, y = result, group = candidate, fill = candidate)) + 149 | geom_bar(stat = "identity", aes(color = weird)) + 150 | facet_wrap(paste(precinct_delegates, "prec. del.") ~ paste(County, precinct), scales = "free_y") + 151 | scale_fill_manual(values = palette) + 152 | scale_color_manual(values = c(NA, "red")) + 153 | MCMsBasics::minimal_ggplot_theme() 154 | 155 | ggsave(plot = g, filename = "~/iowa_2020_results_viablenon_uncon_precinct.jpg", width = 8, height = 8) 156 | 157 | 158 | 159 | # now the cases where the number of viable candidates exceeds the number of delegates, in which case the smallest viable group has to disperse 160 | viable_non_precincts <- results %>% 161 | filter(weird, num_viable1_cand > precinct_delegates) %>% 162 | .$precinct_full 163 | 164 | results %>% 165 | filter(weird, num_viable1_cand > precinct_delegates) %>% 166 | select(precinct, County, candidate, round, result, viable1, viablefinal, viability_threshold, votes_align1) %>% 167 | print(n = Inf) 168 | 169 | results %>% filter(County == "Johnson", precinct == "BG") %>% select(precinct, County, candidate, round, result, viable1, viablefinal, viability_threshold, votes_align1) %>% 170 | pivot_wider(names_from = round, values_from = result) %>% 171 | print(n = Inf) 172 | 173 | g <- results %>% 174 | filter(viable1) %>% 175 | filter(precinct_full %in% viable_non_precincts) %>% 176 | ggplot(aes(x = round, y = result, group = candidate, fill = candidate)) + 177 | geom_bar(stat = "identity", aes(color = weird)) + 178 | facet_wrap(paste(precinct_delegates, "prec. del.") ~ precinct_full, scales = "free_y") + 179 | scale_fill_manual(values = palette) + 180 | scale_color_manual(values = c(NA, "red")) + 181 | MCMsBasics::minimal_ggplot_theme() 182 | 183 | ggsave(plot = g, filename = "~/iowa_2020_results_viablenon_toomanygroups_precinct.jpg", width = 8, height = 8) 184 | -------------------------------------------------------------------------------- /Delegate Apportionment_Page 1_Pivot table.csv: -------------------------------------------------------------------------------- 1 | County,Precinct Short Name,Delegates to County Convention,State Delegate Equivalents 2 | Lee,FM4B,0,0 3 | Lee,KE2B,0,0 4 | Lee,HR,0,0 5 | Appanoose,CW,2,0.16 6 | Black Hawk,S000,2,0.404 7 | Carroll,7,2,0.22 8 | Carroll,12,2,0.22 9 | Cedar,IN,2,0.34285714285714286 10 | Cerro Gordo,FLN,2,0.35428571428571426 11 | Cerro Gordo,LK,2,0.35428571428571426 12 | Cerro Gordo,LCN,2,0.35428571428571426 13 | Cerro Gordo,MSB,2,0.35428571428571426 14 | Cerro Gordo,MV,2,0.35428571428571426 15 | Clay,GFHD,2,0.18823529411764706 16 | Clay,LGGG,2,0.18823529411764706 17 | Clinton,DCGL,2,0.44285714285714284 18 | Clinton,OGCA,2,0.44285714285714284 19 | Dallas,ADS,2,0.8285714285714286 20 | Dallas,COA,2,0.8285714285714286 21 | Dallas,WM322,2,0.8285714285714286 22 | Dickinson,PCT 04,2,0.25 23 | Dickinson,PCT 06,2,0.25 24 | Fremont,RT,2,0.15 25 | "Guthrie ",8,2,0.17142857142857143 26 | Harrison,LS,2,0.18666666666666668 27 | Howard,CR1A,2,0.2857142857142857 28 | Howard,RJO,2,0.2857142857142857 29 | Humboldt,H-WV,2,0.17777777777777778 30 | Humboldt,NL-EV,2,0.17777777777777778 31 | Jackson,10,2,0.34285714285714286 32 | Jackson,11,2,0.34285714285714286 33 | Jefferson,BU,2,0.43636363636363634 34 | Jefferson,WLR,2,0.43636363636363634 35 | Johnson,HS,2,0.81 36 | Johnson,LB,2,0.81 37 | Johnson,UN,2,0.81 38 | Kossuth,LV,2,0.17777777777777778 39 | Kossuth,CR 2,2,0.17777777777777778 40 | Linn,HIA03,2,0.8790697674418605 41 | Linn,TCLI,2,0.8790697674418605 42 | Linn,TFAY,2,0.8790697674418605 43 | Linn,TGRA,2,0.8790697674418605 44 | Linn,TJAC,2,0.8790697674418605 45 | Linn,TMAR,2,0.8790697674418605 46 | Linn,TOTT,2,0.8790697674418605 47 | Mills,EM,2,0.3111111111111111 48 | Mitchell,12,2,0.15 49 | O'Brien,P1,2,0.14545454545454545 50 | Plymouth,BV,2,0.45 51 | Polk,DM 048,2,0.5596002855103498 52 | Polk,DM 067,2,0.5596002855103498 53 | Polk,ALLEMAN,2,0.5596002855103498 54 | Polk,DEL 2,2,0.5596002855103498 55 | Polk,WB 1,2,0.5596002855103498 56 | Poweshiek,3,2,0.28 57 | Sac,2,2,0.13333333333333333 58 | Scott,LCT,2,0.8266666666666667 59 | Scott,LG,2,0.8266666666666667 60 | Scott,PV,2,0.8266666666666667 61 | Scott,PR,2,0.8266666666666667 62 | Sioux,PL,2,0.175 63 | Sioux,RD,2,0.175 64 | Story,26,2,0.83 65 | Story,35,2,0.83 66 | Story,41,2,0.83 67 | Story,43,2,0.83 68 | Tama,YK,2,0.25882352941176473 69 | Union,AR,2,0.15 70 | Woodbury,32,2,0.425 71 | Woodbury,34,2,0.425 72 | Woodbury,36,2,0.425 73 | Woodbury,38,2,0.425 74 | Wright,EG1,2,0.26666666666666666 75 | Wright,RURALEG,2,0.26666666666666666 76 | Wright,GLDFLD,2,0.26666666666666666 77 | Allamakee,PCT 3,3,0.23333333333333334 78 | Black Hawk,J200,3,0.6060000000000001 79 | Black Hawk,PH01,3,0.6060000000000001 80 | Black Hawk,R000,3,0.6060000000000001 81 | Boone,MD3,3,0.5700000000000001 82 | Boone,RP3,3,0.5700000000000001 83 | Boone,RP5,3,0.5700000000000001 84 | Bremer,PL,3,0.6799999999999999 85 | Buchanan,MN,3,0.41052631578947374 86 | Calhoun,READING,3,0.25 87 | Calhoun,SHERMAN,3,0.25 88 | Carroll,10,3,0.33 89 | Cedar,FR,3,0.5142857142857142 90 | Cerro Gordo,POD,3,0.5314285714285714 91 | Chickasaw,WA1,3,0.21000000000000002 92 | Clay,DGPE,3,0.2823529411764706 93 | Clay,LAFR,3,0.2823529411764706 94 | Clinton,BBRD,3,0.6642857142857143 95 | Clinton,ORGM,3,0.6642857142857143 96 | Clinton,SRWH,3,0.6642857142857143 97 | Clinton,WWAW,3,0.6642857142857143 98 | Dallas,AL1,3,1.2428571428571429 99 | Dallas,PY3,3,1.2428571428571429 100 | Dallas,UN,3,1.2428571428571429 101 | Dallas,URB15,3,1.2428571428571429 102 | Dallas,WGG,3,1.2428571428571429 103 | Decatur,DE,3,0.1411764705882353 104 | Emmet,10,3,0.34285714285714286 105 | "Guthrie ",7,3,0.2571428571428571 106 | Harrison,JA,3,0.28 107 | Harrison,BO,3,0.28 108 | Harrison,JF,3,0.28 109 | Howard,AL,3,0.42857142857142855 110 | Howard,SHC,3,0.42857142857142855 111 | Howard,NO,3,0.42857142857142855 112 | Humboldt,A-NW,3,0.26666666666666666 113 | Humboldt,D-W-NR,3,0.26666666666666666 114 | Jackson,2,3,0.5142857142857142 115 | Jackson,3,3,0.5142857142857142 116 | Jackson,5,3,0.5142857142857142 117 | Jackson,8,3,0.5142857142857142 118 | Jackson,13,3,0.5142857142857142 119 | Johnson,OX,3,1.215 120 | Johnson,WL,3,1.215 121 | Keokuk,BN,3,0.34285714285714286 122 | Keokuk,SGR,3,0.34285714285714286 123 | Keokuk,WC,3,0.34285714285714286 124 | Mitchell,11,3,0.22499999999999998 125 | Plymouth,AK,3,0.675 126 | Plymouth,RM,3,0.675 127 | Plymouth,MR,3,0.675 128 | Plymouth,PY,3,0.675 129 | Plymouth,KL,3,0.675 130 | Pocahontas,BV,3,0.18 131 | Polk,DM 034,3,0.8394004282655247 132 | Polk,DM 049,3,0.8394004282655247 133 | Polk,CLAY 1,3,0.8394004282655247 134 | Polk,DOUGLAS,3,0.8394004282655247 135 | Polk,WDM-318,3,0.8394004282655247 136 | Poweshiek,4,3,0.42000000000000004 137 | Ringgold,TG,3,0.11249999999999999 138 | Scott,WC,3,1.24 139 | Sioux,FL,3,0.26249999999999996 140 | Sioux,GT,3,0.26249999999999996 141 | Sioux,RVW,3,0.26249999999999996 142 | Story,24,3,1.2449999999999999 143 | Story,30,3,1.2449999999999999 144 | Story,31,3,1.2449999999999999 145 | Story,32,3,1.2449999999999999 146 | Story,33,3,1.2449999999999999 147 | Story,39,3,1.2449999999999999 148 | Tama,CRONNOC,3,0.3882352941176471 149 | Tama,RL/ST,3,0.3882352941176471 150 | Wapello,DA,3,0.27 151 | Wapello,RL,3,0.27 152 | Warren,JK,3,0.7 153 | Warren,RL,3,0.7 154 | Warren,WHO,3,0.7 155 | Washington,WC,3,0.5571428571428572 156 | Webster,CR,3,0.25 157 | Webster,JO,3,0.25 158 | Woodbury,9,3,0.6375 159 | Woodbury,31,3,0.6375 160 | Allamakee,PCT 1,4,0.3111111111111111 161 | Allamakee,PCT 5,4,0.3111111111111111 162 | Black Hawk,X201,4,0.808 163 | Black Hawk,J100,4,0.808 164 | Black Hawk,J300,4,0.808 165 | Black Hawk,J400,4,0.808 166 | Black Hawk,N000,4,0.808 167 | Black Hawk,W501,4,0.808 168 | Boone,MD1,4,0.76 169 | Boone,MD2,4,0.76 170 | Bremer,LA,4,0.9066666666666666 171 | Bremer,RD,4,0.9066666666666666 172 | Buchanan,BD,4,0.5473684210526316 173 | Buchanan,HT,4,0.5473684210526316 174 | Carroll,9,4,0.44 175 | Carroll,5,4,0.44 176 | Chickasaw,CH,4,0.28 177 | Chickasaw,DA-RD,4,0.28 178 | Chickasaw,JA-UT,4,0.28 179 | Clay,LNCL,4,0.3764705882352941 180 | Clay,WFLT,4,0.3764705882352941 181 | Clinton,DEWT,4,0.8857142857142857 182 | Clinton,ERHA,4,0.8857142857142857 183 | Decatur,BU,4,0.18823529411764706 184 | Decatur,GR,4,0.18823529411764706 185 | Dubuque,35,4,1.0666666666666667 186 | Dubuque,40,4,1.0666666666666667 187 | Emmet,1,4,0.45714285714285713 188 | Emmet,9,4,0.45714285714285713 189 | Franklin,GROC,4,0.2222222222222222 190 | Franklin,WMO,4,0.2222222222222222 191 | Franklin,WRSC,4,0.2222222222222222 192 | Harrison,MR,4,0.37333333333333335 193 | Harrison,WS,4,0.37333333333333335 194 | Jasper,CF-1,4,0.46 195 | Jasper,CF-3,4,0.46 196 | Jasper,EL,4,0.46 197 | Jefferson,FF3,4,0.8727272727272727 198 | Johnson,BG,4,1.62 199 | Johnson,FR,4,1.62 200 | Johnson,SC,4,1.62 201 | Johnson,UH,4,1.62 202 | Keokuk,ER,4,0.45714285714285713 203 | Kossuth,HB,4,0.35555555555555557 204 | Kossuth,PR,4,0.35555555555555557 205 | Kossuth,GF,4,0.35555555555555557 206 | Lee,JF,4,0.56 207 | Lucas,EX,4,0.2909090909090909 208 | Mills,GWR,4,0.6222222222222222 209 | O'Brien,P2,4,0.2909090909090909 210 | Plymouth,HT,4,0.9 211 | Plymouth,LM13,4,0.9 212 | Poweshiek,11,4,0.56 213 | Sioux,LN,4,0.35 214 | Sioux,RVE,4,0.35 215 | Sioux,SCN,4,0.35 216 | Story,17,4,1.66 217 | Tama,CT,4,0.5176470588235295 218 | Tama,HL/IV/T,4,0.5176470588235295 219 | Warren,JF,4,0.9333333333333333 220 | Warren,OT ML,4,0.9333333333333333 221 | Woodbury,11,4,0.85 222 | Woodbury,13,4,0.85 223 | Wright,BIG_6,4,0.5333333333333333 224 | Adams,AD5,5,0.4285714285714286 225 | Allamakee,PCT 8,5,0.3888888888888889 226 | Benton,BP2,5,0.375 227 | Benton,BR,5,0.375 228 | Black Hawk,ALOO,5,1.01 229 | Black Hawk,W403,5,1.01 230 | Black Hawk,W406,5,1.01 231 | Boone,RP1,5,0.95 232 | Bremer,JV,5,1.1333333333333333 233 | Bremer,TR,5,1.1333333333333333 234 | Bremer,WL3,5,1.1333333333333333 235 | Buchanan,AR,5,0.6842105263157895 236 | Buchanan,FB,5,0.6842105263157895 237 | Buchanan,RW,5,0.6842105263157895 238 | Buena Vista,ALNE,5,1 239 | Buena Vista,S-M-L-R,5,1 240 | Butler,5-AP,5,0.5833333333333334 241 | Butler,8-NH,5,0.5833333333333334 242 | Calhoun,CNLGTGA,5,0.41666666666666663 243 | Carroll,6,5,0.55 244 | Cedar,TT3,5,0.8571428571428572 245 | Cerro Gordo,GN,5,0.8857142857142857 246 | Cherokee,3 QUIM,5,0.5454545454545454 247 | Chickasaw,NHR,5,0.35000000000000003 248 | Clayton,CS,5,0.8333333333333333 249 | Dallas,CL5,5,2.0714285714285716 250 | Dallas,URB14,5,2.0714285714285716 251 | Dallas,WK4,5,2.0714285714285716 252 | Dallas,WK5,5,2.0714285714285716 253 | Dallas,WK6,5,2.0714285714285716 254 | Dallas,WM222,5,2.0714285714285716 255 | Dallas,WM321,5,2.0714285714285716 256 | Delaware,CL,5,0.375 257 | Dickinson,PCT 01,5,0.625 258 | Dickinson,PCT 02,5,0.625 259 | Emmet,6,5,0.5714285714285714 260 | Emmet,7,5,0.5714285714285714 261 | Floyd,SCUNPG,5,0.5555555555555556 262 | Franklin,HLLERV,5,0.2777777777777778 263 | Franklin,MA,5,0.2777777777777778 264 | Franklin,OKMG,5,0.2777777777777778 265 | "Guthrie ",1,5,0.4285714285714286 266 | Howard,CR3,5,0.7142857142857142 267 | Howard,CR1B,5,0.7142857142857142 268 | Humboldt,DC-GR,5,0.4444444444444445 269 | Jackson,9,5,0.8571428571428572 270 | Jackson,15,5,0.8571428571428572 271 | Jasper,CF-2,5,0.5750000000000001 272 | Jasper,PA,5,0.5750000000000001 273 | Johnson,CV.03,5,2.0250000000000004 274 | Johnson,JE,5,2.0250000000000004 275 | Johnson,JW,5,2.0250000000000004 276 | Kossuth,EG,5,0.4444444444444445 277 | Kossuth,GM,5,0.4444444444444445 278 | Kossuth,BF,5,0.4444444444444445 279 | Lucas,POM,5,0.36363636363636365 280 | Mills,GW1,5,0.7777777777777778 281 | Mills,GW2,5,0.7777777777777778 282 | Mitchell,10,5,0.375 283 | Monona,ON409,5,0.25 284 | Muscatine,FUMO,5,0.8333333333333333 285 | O'Brien,P5,5,0.36363636363636365 286 | O'Brien,P6,5,0.36363636363636365 287 | Story,12,5,2.0749999999999997 288 | Story,13,5,2.0749999999999997 289 | Story,18,5,2.0749999999999997 290 | Tama,H/TL,5,0.6470588235294118 291 | Warren,GR1,5,1.1666666666666667 292 | Warren,IN1,5,1.1666666666666667 293 | Warren,IN3,5,1.1666666666666667 294 | Warren,IN6,5,1.1666666666666667 295 | Washington,BMC,5,0.9285714285714286 296 | Webster,EL,5,0.41666666666666663 297 | Webster,SWYH,5,0.41666666666666663 298 | Woodbury,4,5,1.0625 299 | Woodbury,8,5,1.0625 300 | Woodbury,20,5,1.0625 301 | Woodbury,35,5,1.0625 302 | Black Hawk,W201,6,1.2120000000000002 303 | Black Hawk,W306,6,1.2120000000000002 304 | Boone,RP6,6,1.1400000000000001 305 | Bremer,SU,6,1.3599999999999999 306 | Buchanan,I2,6,0.8210526315789475 307 | Buchanan,I4,6,0.8210526315789475 308 | Buchanan,I5,6,0.8210526315789475 309 | Buchanan,PW,6,0.8210526315789475 310 | Buchanan,QT,6,0.8210526315789475 311 | Cherokee,4 CHER,6,0.6545454545454545 312 | Chickasaw,DF-W2,6,0.42000000000000004 313 | Dallas,CL6,6,2.4857142857142858 314 | Dallas,WK1,6,2.4857142857142858 315 | Dallas,WK2,6,2.4857142857142858 316 | Des Moines,BU1T,6,2.16 317 | Des Moines,BU7,6,2.16 318 | Des Moines,WB,6,2.16 319 | Dubuque,14,6,1.6 320 | Dubuque,45,6,1.6 321 | "Guthrie ",3,6,0.5142857142857142 322 | Howard,AF,6,0.8571428571428571 323 | Howard,CR2,6,0.8571428571428571 324 | Jackson,7,6,1.0285714285714285 325 | Jackson,16,6,1.0285714285714285 326 | Jasper,MW,6,0.6900000000000001 327 | Johnson,IC.15,6,2.43 328 | Johnson,NL.04,6,2.43 329 | Johnson,NL.05,6,2.43 330 | Johnson,SO,6,2.43 331 | Kossuth,CR,6,0.5333333333333333 332 | Lee,KE3,6,0.8400000000000001 333 | Lee,KE4,6,0.8400000000000001 334 | Lee,CH VB,6,0.8400000000000001 335 | Lucas,LC,6,0.43636363636363634 336 | Lucas,RS,6,0.43636363636363634 337 | Monroe,AL2,6,0.27692307692307694 338 | Monroe,MELROSE,6,0.27692307692307694 339 | Muscatine,MU08,6,1 340 | Muscatine,SW,6,1 341 | O'Brien,P9,6,0.43636363636363634 342 | Plymouth,LM11,6,1.35 343 | Plymouth,LM12,6,1.35 344 | Poweshiek,5,6,0.8400000000000001 345 | Ringgold,CL,6,0.22499999999999998 346 | Sioux,SCS,6,0.5249999999999999 347 | Story,1,6,2.4899999999999998 348 | Story,3,6,2.4899999999999998 349 | Story,16,6,2.4899999999999998 350 | Story,25,6,2.4899999999999998 351 | Story,40,6,2.4899999999999998 352 | Tama,SP/WC,6,0.7764705882352942 353 | Wapello,AD,6,0.54 354 | Wapello,WA,6,0.54 355 | Warren,AL2,6,1.4 356 | Warren,GR1DM85,6,1.4 357 | Warren,IN5,6,1.4 358 | Washington,WS1,6,1.1142857142857143 359 | Winneshiek,8,6,0.768 360 | Winneshiek,10,6,0.768 361 | Woodbury,14,6,1.275 362 | Woodbury,30,6,1.275 363 | Allamakee,PCT 6,7,0.5444444444444445 364 | Appanoose,TY,7,0.56 365 | Boone,OG,7,1.33 366 | Boone,RP2,7,1.33 367 | Boone,RP4,7,1.33 368 | Bremer,WL2,7,1.5866666666666667 369 | Buchanan,WN,7,0.9578947368421054 370 | Buena Vista,1,7,1.4000000000000001 371 | Buena Vista,3,7,1.4000000000000001 372 | Carroll,8,7,0.77 373 | Carroll,13,7,0.77 374 | Cerro Gordo,CL,7,1.24 375 | Cerro Gordo,MC W2P1,7,1.24 376 | Cherokee,6 CH W2,7,0.7636363636363636 377 | Chickasaw,NH2,7,0.49000000000000005 378 | Clay,SRSM,7,0.6588235294117647 379 | Clinton,CAM2,7,1.5499999999999998 380 | Clinton,CL11,7,1.5499999999999998 381 | Clinton,CL21,7,1.5499999999999998 382 | Dallas,URB13,7,2.9000000000000004 383 | Dallas,WK3,7,2.9000000000000004 384 | Davis,SW,7,0.21 385 | Decatur,GG,7,0.32941176470588235 386 | Delaware,ADHG,7,0.525 387 | Delaware,DH,7,0.525 388 | Des Moines,BU2,7,2.52 389 | Des Moines,BU9,7,2.52 390 | Dickinson,PCT 05,7,0.875 391 | Fremont,HB,7,0.525 392 | Harrison,SJ,7,0.6533333333333333 393 | Jefferson,FF5,7,1.5272727272727271 394 | Lee,KE6,7,0.9800000000000001 395 | Lee,JK,7,0.9800000000000001 396 | Lee,MO,7,0.9800000000000001 397 | Lucas,WM,7,0.509090909090909 398 | Mahaska,OS2,7,1.12 399 | Marion,PE1,7,1.26 400 | Marion,PE2,7,1.26 401 | Marshall,2 ED-LO,7,1.12 402 | Marshall,17 SC,7,1.12 403 | Mills,GW3,7,1.088888888888889 404 | Mitchell,OS3,7,0.525 405 | Mitchell,8,7,0.525 406 | Monona,MH005,7,0.35000000000000003 407 | Monona,ON207,7,0.35000000000000003 408 | Monona,ON308,7,0.35000000000000003 409 | Montgomery,7,7,0.56 410 | O'Brien,P4,7,0.509090909090909 411 | O'Brien,P8,7,0.509090909090909 412 | Page,GT,7,0.56 413 | Shelby,4,7,0.35000000000000003 414 | Sioux,AT,7,0.6124999999999999 415 | Sioux,SCC,7,0.6124999999999999 416 | Story,7,7,2.905 417 | Story,19,7,2.905 418 | Story,22,7,2.905 419 | Warren,GR2LC2,7,1.6333333333333333 420 | Warren,NW2 GR1,7,1.6333333333333333 421 | Washington,RS,7,1.3 422 | Washington,WS2,7,1.3 423 | Webster,GO,7,0.5833333333333333 424 | Winneshiek,1,7,0.896 425 | Woodbury,15,7,1.4875 426 | Woodbury,16,7,1.4875 427 | Woodbury,21,7,1.4875 428 | Woodbury,23,7,1.4875 429 | Woodbury,24,7,1.4875 430 | Woodbury,25,7,1.4875 431 | Woodbury,29,7,1.4875 432 | Adair,01NW,8,0.6274509803921569 433 | Allamakee,PCT 4,8,0.6222222222222222 434 | Black Hawk,C000,8,1.616 435 | Black Hawk,X101,8,1.616 436 | Black Hawk,W103,8,1.616 437 | Black Hawk,W105,8,1.616 438 | Black Hawk,W301,8,1.616 439 | Black Hawk,W502,8,1.616 440 | Bremer,WL4,8,1.8133333333333332 441 | Buena Vista,4,8,1.6 442 | Carroll,11,8,0.88 443 | Cedar,CN,8,1.3714285714285714 444 | Cedar,FM,8,1.3714285714285714 445 | Cerro Gordo,MC W1P1,8,1.417142857142857 446 | Cerro Gordo,MC W2P3,8,1.417142857142857 447 | Cerro Gordo,MC W3P2,8,1.417142857142857 448 | Cerro Gordo,MC W4P1,8,1.417142857142857 449 | Cherokee,1 AUR,8,0.8727272727272727 450 | Chickasaw,ST,8,0.56 451 | Clinton,CAM1,8,1.7714285714285714 452 | Clinton,DEW1,8,1.7714285714285714 453 | Dallas,WM221,8,3.3142857142857145 454 | Dallas,WM225,8,3.3142857142857145 455 | Des Moines,BU8C,8,2.88 456 | Dubuque,09A,8,2.1333333333333333 457 | Dubuque,11,8,2.1333333333333333 458 | Dubuque,15,8,2.1333333333333333 459 | Floyd,FLCENI,8,0.8888888888888888 460 | Floyd,RFUL,8,0.8888888888888888 461 | Franklin,HP1,8,0.4444444444444444 462 | Harrison,WB,8,0.7466666666666667 463 | Harrison,LO,8,0.7466666666666667 464 | Jefferson,CT,8,1.7454545454545454 465 | Jefferson,FF4,8,1.7454545454545454 466 | Johnson,CC,8,3.24 467 | Johnson,CV.02,8,3.24 468 | Johnson,IC.07,8,3.24 469 | Johnson,IC.11,8,3.24 470 | Johnson,IC.22,8,3.24 471 | "Jones ",CGLW,8,1.28 472 | "Jones ",FV,8,1.28 473 | Kossuth,BT,8,0.7111111111111111 474 | Kossuth,AL4,8,0.7111111111111111 475 | Lee,KE5,8,1.12 476 | Lee,KE7,8,1.12 477 | Linn,CR12,8,3.516279069767442 478 | Linn,CR24,8,3.516279069767442 479 | Linn,CR31,8,3.516279069767442 480 | Linn,CR36,8,3.516279069767442 481 | Linn,CR39,8,3.516279069767442 482 | Linn,MR05,8,3.516279069767442 483 | Mahaska,OS4,8,1.28 484 | Mills,MV,8,1.2444444444444445 485 | Mills,OK,8,1.2444444444444445 486 | Monroe,AL3,8,0.36923076923076925 487 | O'Brien,P7,8,0.5818181818181818 488 | Story,2,8,3.32 489 | Story,4,8,3.32 490 | Story,8,8,3.32 491 | Story,14,8,3.32 492 | Story,15,8,3.32 493 | Story,20,8,3.32 494 | Washington,AW,8,1.4857142857142858 495 | Washington,WS3,8,1.4857142857142858 496 | Washington,WS4,8,1.4857142857142858 497 | Adair,03SW,9,0.7058823529411764 498 | Allamakee,PCT 9,9,0.7 499 | Allamakee,PCT 10,9,0.7 500 | Allamakee,PCT 11,9,0.7 501 | Benton,BG,9,0.6749999999999999 502 | Boone,BN1,9,1.71 503 | Bremer,DV,9,2.04 504 | Bremer,WL1,9,2.04 505 | Bremer,WL5,9,2.04 506 | Buchanan,I3,9,1.231578947368421 507 | Cerro Gordo,CL1,9,1.594285714285714 508 | Cerro Gordo,CL3,9,1.594285714285714 509 | Cerro Gordo,MC W4P2,9,1.594285714285714 510 | Cherokee,2 CLEG,9,0.9818181818181818 511 | Chickasaw,NH1,9,0.6300000000000001 512 | Clinton,CL12,9,1.9928571428571429 513 | Decatur,LC,9,0.4235294117647059 514 | Delaware,HCEK,9,0.6749999999999999 515 | Delaware,RLCG,9,0.6749999999999999 516 | Dubuque,6,9,2.4 517 | Dubuque,43,9,2.4 518 | Grundy,P1,9,0.9 519 | Harrison,HS,9,0.8400000000000001 520 | Jasper,CP,9,1.0350000000000001 521 | Jasper,NT4-2,9,1.0350000000000001 522 | Jefferson,FF1,9,1.9636363636363636 523 | Lee,FM2,9,1.2600000000000002 524 | Linn,CR25,9,3.9558139534883723 525 | Linn,CR26,9,3.9558139534883723 526 | Louisa,CJ,9,0.9 527 | Louisa,GV,9,0.9 528 | Marion,KX3,9,1.6199999999999999 529 | Marion,KXT,9,1.6199999999999999 530 | Mitchell,OS4,9,0.6749999999999999 531 | Mitchell,7,9,0.6749999999999999 532 | Monroe,AL4,9,0.4153846153846154 533 | Monroe,LOVILIA,9,0.4153846153846154 534 | Pocahontas,SW,9,0.54 535 | Pocahontas,DM,9,0.54 536 | Ringgold,AT,9,0.33749999999999997 537 | Ringgold,UN,9,0.33749999999999997 538 | Scott,D64,9,3.7199999999999998 539 | Story,5,9,3.735 540 | Story,9,9,3.735 541 | Story,10,9,3.735 542 | Story,11,9,3.735 543 | Tama,CK/GE,9,1.1647058823529413 544 | Tama,IS,9,1.1647058823529413 545 | Union,AF,9,0.6749999999999999 546 | Warren,IN2,9,2.1 547 | Warren,IN7,9,2.1 548 | Washington,KA,9,1.6714285714285715 549 | Washington,WL,9,1.6714285714285715 550 | Wayne,S04,9,0.6749999999999999 551 | Winneshiek,9,9,1.1520000000000001 552 | Woodbury,6,9,1.9124999999999999 553 | Woodbury,12,9,1.9124999999999999 554 | Woodbury,17,9,1.9124999999999999 555 | Woodbury,19,9,1.9124999999999999 556 | Adair,04SE,10,0.7843137254901961 557 | Black Hawk,DM00,10,2.02 558 | Black Hawk,X301,10,2.02 559 | Black Hawk,X402,10,2.02 560 | Black Hawk,W101,10,2.02 561 | Black Hawk,W401,10,2.02 562 | Black Hawk,W505,10,2.02 563 | Boone,BN2,10,1.9 564 | Boone,BN3,10,1.9 565 | Boone,BN5,10,1.9 566 | Butler,1-GR,10,1.1666666666666667 567 | Butler,7-PB,10,1.1666666666666667 568 | Calhoun,LINCOLN,10,0.8333333333333333 569 | Cerro Gordo,MC W1P2,10,1.7714285714285714 570 | Cherokee,5 CH W1,10,1.0909090909090908 571 | Cherokee,7 CH W3,10,1.0909090909090908 572 | Clay,SP1,10,0.9411764705882353 573 | Clinton,CL31,10,2.2142857142857144 574 | Clinton,CL41,10,2.2142857142857144 575 | Clinton,CL42,10,2.2142857142857144 576 | Clinton,DEW2,10,2.2142857142857144 577 | Dubuque,1,10,2.6666666666666665 578 | Dubuque,12,10,2.6666666666666665 579 | Dubuque,19,10,2.6666666666666665 580 | Dubuque,32,10,2.6666666666666665 581 | Dubuque,34,10,2.6666666666666665 582 | Floyd,SCRV,10,1.1111111111111112 583 | Franklin,HP2,10,0.5555555555555556 584 | Hancock,4,10,1 585 | Humboldt,H1-C-SW,10,0.888888888888889 586 | Humboldt,H3-SR,10,0.888888888888889 587 | Jasper,NT1-2,10,1.1500000000000001 588 | Jasper,NT3-2,10,1.1500000000000001 589 | Johnson,CV.06,10,4.050000000000001 590 | Johnson,IC.02,10,4.050000000000001 591 | Johnson,IC.04,10,4.050000000000001 592 | Johnson,IC.08,10,4.050000000000001 593 | Johnson,IC.21,10,4.050000000000001 594 | Johnson,PN,10,4.050000000000001 595 | Kossuth,AL3,10,0.888888888888889 596 | Lee,FR CE,10,1.4000000000000001 597 | Lee,WS GB,10,1.4000000000000001 598 | Monroe,AL1,10,0.46153846153846156 599 | Muscatine,WC,10,1.6666666666666665 600 | Ringgold,WS,10,0.375 601 | Scott,B52,10,4.133333333333333 602 | Sioux,OC1,10,0.875 603 | Story,6,10,4.1499999999999995 604 | Tama,PY/CY/B,10,1.2941176470588236 605 | Van Buren,KE,10,1 606 | Warren,NWK4,10,2.3333333333333335 607 | Winneshiek,7,10,1.28 608 | Adair,02NE,11,0.8627450980392157 609 | Appanoose,CV2,11,0.88 610 | Benton,VT3,11,0.825 611 | Black Hawk,X503,11,2.222 612 | Black Hawk,W106,11,2.222 613 | Black Hawk,W305,11,2.222 614 | Black Hawk,W405,11,2.222 615 | Buchanan,JS,11,1.5052631578947369 616 | Butler,2-CL,11,1.2833333333333334 617 | Butler,6-SR,11,1.2833333333333334 618 | Cerro Gordo,CL2,11,1.9485714285714284 619 | Cerro Gordo,MC W1P3,11,1.9485714285714284 620 | Cerro Gordo,MC W3P1,11,1.9485714285714284 621 | Cerro Gordo,MC W4P3,11,1.9485714285714284 622 | Davis,NW,11,0.32999999999999996 623 | Dubuque,5,11,2.933333333333333 624 | Dubuque,10,11,2.933333333333333 625 | Dubuque,20,11,2.933333333333333 626 | Dubuque,31,11,2.933333333333333 627 | Fayette,OE4,11,1.3199999999999998 628 | Franklin,HP4,11,0.611111111111111 629 | Fremont,GNRSSC,11,0.825 630 | Hamilton,PCT 3,11,1.1 631 | Jasper,DM,11,1.2650000000000001 632 | Jasper,NT2-2,11,1.2650000000000001 633 | Jefferson,FF2,11,2.4 634 | Johnson,IC.06,11,4.455 635 | Johnson,IC.16,11,4.455 636 | Johnson,NL.06,11,4.455 637 | Lee,FM3,11,1.54 638 | Lee,FM4A,11,1.54 639 | Louisa,WL,11,1.1 640 | Madison,UCS,11,1.3199999999999998 641 | Monona,FV004,11,0.55 642 | Muscatine,MU01,11,1.8333333333333333 643 | Muscatine,MU06,11,1.8333333333333333 644 | O'Brien,P3,11,0.7999999999999999 645 | Page,SD3,11,0.88 646 | Palo Alto,GR RV,11,0.9166666666666666 647 | Pottawattamie,CB 15,11,1.3199999999999998 648 | Pottawattamie,CB 16,11,1.3199999999999998 649 | Pottawattamie,LEWIS 1,11,1.3199999999999998 650 | Pottawattamie,LEWIS 2,11,1.3199999999999998 651 | Poweshiek,2,11,1.54 652 | Sac,7,11,0.7333333333333333 653 | Sioux,OC2,11,0.9624999999999999 654 | Tama,TLCITY,11,1.423529411764706 655 | Taylor,LX,11,1.1 656 | Union,CS4,11,0.825 657 | Wapello,OT04,11,0.99 658 | Warren,IN4,11,2.566666666666667 659 | Boone,BN4,12,2.2800000000000002 660 | Buchanan,I1,12,1.642105263157895 661 | Chickasaw,DS-FB,12,0.8400000000000001 662 | Clay,SP2,12,1.1294117647058823 663 | Clay,SP3,12,1.1294117647058823 664 | Clayton,JF-MV,12,2 665 | Clinton,CL22,12,2.657142857142857 666 | Clinton,CL32,12,2.657142857142857 667 | Dubuque,2,12,3.2 668 | Dubuque,4,12,3.2 669 | Dubuque,7,12,3.2 670 | Hamilton,PCT 4,12,1.2000000000000002 671 | Hamilton,WC3,12,1.2000000000000002 672 | Hardin,HA,12,0.8639999999999999 673 | Hardin,EL,12,0.8639999999999999 674 | Jasper,IMM,12,1.3800000000000001 675 | Johnson,IC.01,12,4.86 676 | Johnson,IC.17,12,4.86 677 | Johnson,IC.18,12,4.86 678 | Johnson,IC.23,12,4.86 679 | Johnson,IC.24,12,4.86 680 | Kossuth,AL2,12,1.0666666666666667 681 | Lee,FM5,12,1.6800000000000002 682 | Marion,PVLLE,12,2.16 683 | Marshall,11 2-1,12,1.92 684 | Muscatine,WLWA,12,2 685 | Palo Alto,EM4,12,1 686 | Polk,DM 044,12,3.357601713062099 687 | Polk,DM 066,12,3.357601713062099 688 | Polk,ALT 3,12,3.357601713062099 689 | Polk,JOHN 1,12,3.357601713062099 690 | Polk,JOHN 2,12,3.357601713062099 691 | Polk,WDM-114,12,3.357601713062099 692 | Poweshiek,8,12,1.6800000000000002 693 | Sioux,HW,12,1.0499999999999998 694 | Warren,NW3 LN,12,2.8 695 | Adair,05GF,13,1.0196078431372548 696 | Appanoose,CV1,13,1.04 697 | Black Hawk,X401,13,2.6260000000000003 698 | Black Hawk,X501,13,2.6260000000000003 699 | Black Hawk,X502,13,2.6260000000000003 700 | Calhoun,ROCKWEL,13,1.0833333333333333 701 | Carroll,3,13,1.43 702 | Carroll,4,13,1.43 703 | Cerro Gordo,MC W2P2,13,2.3028571428571425 704 | Clay,SP4,13,1.223529411764706 705 | Clay,SP5,13,1.223529411764706 706 | Delaware,ONNFBM,13,0.975 707 | Dickinson,PCT 15,13,1.625 708 | Floyd,RGRU,13,1.4444444444444444 709 | Grundy,P6,13,1.3 710 | Henry,NW,13,0.8666666666666667 711 | Henry,NE,13,0.8666666666666667 712 | Henry,MP4,13,0.8666666666666667 713 | Jackson,1,13,2.2285714285714286 714 | Jasper,FV,13,1.495 715 | Jasper,NS,13,1.495 716 | Jasper,NT1-1,13,1.495 717 | "Jones ",ANS,13,2.08 718 | Lee,WPPRDN,13,1.8200000000000003 719 | Lucas,C2,13,0.9454545454545454 720 | Madison,WT1,13,1.56 721 | Madison,WT2,13,1.56 722 | Marshall,15 4-1,13,2.08 723 | Palo Alto,EM3,13,1.0833333333333333 724 | Polk,DM 042,13,3.6374018558172736 725 | Polk,DM 056,13,3.6374018558172736 726 | Polk,GRIMES1,13,3.6374018558172736 727 | Pottawattamie,CB 09,13,1.56 728 | Pottawattamie,CRESC,13,1.56 729 | Pottawattamie,UNDERW,13,1.56 730 | Shelby,2,13,0.65 731 | Shelby,9,13,0.65 732 | Union,CS3,13,0.975 733 | Union,CS5,13,0.975 734 | Wapello,OT08,13,1.17 735 | Wayne,C02,13,0.975 736 | Webster,3,13,1.0833333333333333 737 | Webster,8,13,1.0833333333333333 738 | Webster,9,13,1.0833333333333333 739 | Winneshiek,6,13,1.6640000000000001 740 | Woodbury,28,13,2.7624999999999997 741 | Allamakee,PCT 2,14,1.088888888888889 742 | Black Hawk,X202,14,2.8280000000000003 743 | Black Hawk,X302,14,2.8280000000000003 744 | Black Hawk,W204,14,2.8280000000000003 745 | Carroll,1,14,1.54 746 | Cedar,WB1,14,2.4 747 | Delaware,MC2,14,1.05 748 | Dickinson,PCT 08,14,1.75 749 | Floyd,CC1,14,1.5555555555555554 750 | Grundy,P5,14,1.4000000000000001 751 | Grundy,P7,14,1.4000000000000001 752 | Harrison,MV,14,1.3066666666666666 753 | Iowa,MR,14,1.4000000000000001 754 | Jasper,NT2-1,14,1.61 755 | Jasper,NT3-1,14,1.61 756 | Lucas,C1,14,1.018181818181818 757 | Marshall,13 3-1,14,2.24 758 | Marshall,16 4-2,14,2.24 759 | Polk,DM 055,14,3.9172019985724487 760 | Polk,ANK 13,14,3.9172019985724487 761 | Pottawattamie,CB 12,14,1.68 762 | Pottawattamie,GARNER,14,1.68 763 | Wapello,OT01,14,1.26 764 | Black Hawk,X102,15,3.0300000000000002 765 | Black Hawk,X103,15,3.0300000000000002 766 | Calhoun,CHJEGLK,15,1.25 767 | Floyd,CC3,15,1.6666666666666665 768 | Marshall,12 2-2,15,2.4 769 | Polk,DM 016,15,4.197002141327624 770 | Polk,DM 039,15,4.197002141327624 771 | Wapello,OT10,15,1.3499999999999999 772 | Webster,10,15,1.25 773 | Franklin,RLRSWF,16,0.8888888888888888 774 | "Guthrie ",2,16,1.3714285714285714 775 | "Guthrie ",6,16,1.3714285714285714 776 | Hardin,CC,16,1.152 777 | Henry,MP1,16,1.0666666666666667 778 | Jasper,NT4-1,16,1.84 779 | Polk,DM 015,16,4.476802284082798 780 | Polk,JOHN 5,16,4.476802284082798 781 | Poweshiek,9,16,2.24 782 | Tama,CB/TM,16,2.070588235294118 783 | Winneshiek,4,16,2.048 784 | Floyd,CC2,17,1.8888888888888888 785 | Hamilton,WC1,17,1.7000000000000002 786 | Hancock,6,17,1.7000000000000002 787 | Hardin,ET,17,1.224 788 | Hardin,ELC,17,1.224 789 | Henry,MP3,17,1.1333333333333333 790 | Jasper,HR,17,1.955 791 | Monroe,CTHSE,17,0.7846153846153847 792 | Page,CL2,17,1.36 793 | Polk,DM 041,17,4.756602426837973 794 | Polk,ANK 12,17,4.756602426837973 795 | Pottawattamie,CB 11,17,2.04 796 | Poweshiek,7,17,2.3800000000000003 797 | Winneshiek,5,17,2.176 798 | Allamakee,PCT 7,18,1.4 799 | Carroll,2,18,1.98 800 | Chickasaw,BD,18,1.2600000000000002 801 | Marshall,14 3-2,18,2.88 802 | Pottawattamie,CB 08,18,2.16 803 | Union,CS2,18,1.3499999999999999 804 | Winneshiek,3,18,2.3040000000000003 805 | Black Hawk,X203,19,3.838 806 | Hardin,IF1,19,1.3679999999999999 807 | Polk,DM 062,19,5.316202712348323 808 | Polk,ANK 01,19,5.316202712348323 809 | Wapello,OT09,19,1.71 810 | Webster,1,19,1.5833333333333333 811 | Hamilton,WC2,20,2 812 | Iowa,LX,20,2 813 | Pottawattamie,CB 10A,20,2.4 814 | Ringgold,M2,21,0.7875 815 | Benton,BN,22,1.65 816 | Benton,FR,22,1.65 817 | Decatur,LE,22,1.0352941176470587 818 | Hardin,IF2,22,1.5839999999999999 819 | Ringgold,M1,22,0.825 820 | Wapello,OT03,22,1.98 821 | Winneshiek,2,22,2.816 822 | Iowa,WM,23,2.3000000000000003 823 | Poweshiek,6,24,3.3600000000000003 824 | Worth,W31,24,1.6 825 | Henry,SE,30,2 826 | Decatur,BL,36,1.6941176470588235 827 | Black Hawk,B000,1,0.202 828 | Black Hawk,G000,1,0.202 829 | Black Hawk,Q000,1,0.202 830 | Bremer,FD,1,0.22666666666666666 831 | Calhoun,CEDAR,1,0.08333333333333333 832 | Cerro Gordo,FLS,1,0.17714285714285713 833 | Cerro Gordo,GMW,1,0.17714285714285713 834 | Cerro Gordo,GME,1,0.17714285714285713 835 | Clinton,CENT,1,0.22142857142857142 836 | Clinton,EDCM,1,0.22142857142857142 837 | Clinton,LBTO,1,0.22142857142857142 838 | Clinton,LOMO,1,0.22142857142857142 839 | Clinton,SHLN,1,0.22142857142857142 840 | Clinton,WFCH,1,0.22142857142857142 841 | Dallas,DO,1,0.4142857142857143 842 | Dallas,LWL,1,0.4142857142857143 843 | Dallas,SD,1,0.4142857142857143 844 | Dallas,WM224,1,0.4142857142857143 845 | Dickinson,PCT 07,1,0.125 846 | Dickinson,PCT 09,1,0.125 847 | Dubuque,44,1,0.26666666666666666 848 | Emmet,2,1,0.11428571428571428 849 | Emmet,4,1,0.11428571428571428 850 | Hancock,5,1,0.1 851 | Humboldt,SL-NN,1,0.08888888888888889 852 | Ida,GV,1,0.15 853 | Jefferson,BH-PO,1,0.21818181818181817 854 | Jefferson,DM,1,0.21818181818181817 855 | Jefferson,LG,1,0.21818181818181817 856 | Jefferson,PN,1,0.21818181818181817 857 | Johnson,CE,1,0.405 858 | Johnson,GR,1,0.405 859 | Johnson,HD,1,0.405 860 | Johnson,SN,1,0.405 861 | Johnson,WS,1,0.405 862 | Keokuk,JA,1,0.11428571428571428 863 | Keokuk,LC,1,0.11428571428571428 864 | Keokuk,PR,1,0.11428571428571428 865 | Keokuk,WN,1,0.11428571428571428 866 | Kossuth,GW,1,0.08888888888888889 867 | Kossuth,LC,1,0.08888888888888889 868 | Kossuth,UN,1,0.08888888888888889 869 | Kossuth,PC,1,0.08888888888888889 870 | Kossuth,IV,1,0.08888888888888889 871 | Kossuth,CR 1,1,0.08888888888888889 872 | Linn,HIA04,1,0.43953488372093025 873 | Linn,TBOU,1,0.43953488372093025 874 | Linn,TBUF,1,0.43953488372093025 875 | Linn,TCOL,1,0.43953488372093025 876 | Linn,TLIN,1,0.43953488372093025 877 | Linn,TSPR,1,0.43953488372093025 878 | Lyon,P6,1,0.1 879 | Mills,DR,1,0.15555555555555556 880 | Mills,HN,1,0.15555555555555556 881 | Mills,SV,1,0.15555555555555556 882 | Osceola,HA,1,0.1 883 | Plymouth,MRHG,1,0.225 884 | Plymouth,SB,1,0.225 885 | Plymouth,WF,1,0.225 886 | Polk,DM 072,1,0.2798001427551749 887 | Polk,ALLEN 1,1,0.2798001427551749 888 | Polk,GRANGER,1,0.2798001427551749 889 | Polk,MADISON,1,0.2798001427551749 890 | Polk,SHELDAH,1,0.2798001427551749 891 | Polk,WASH 1,1,0.2798001427551749 892 | Sioux,SM,1,0.0875 893 | Sioux,WB,1,0.0875 894 | Tama,GR,1,0.12941176470588237 895 | Tama,SOC,1,0.12941176470588237 896 | Tama,LI,1,0.12941176470588237 897 | Van Buren,SP,1,0.1 898 | Wapello,CS,1,0.09 899 | Wapello,CP,1,0.09 900 | Wapello,HI,1,0.09 901 | Warren,BM,1,0.23333333333333334 902 | Warren,GR1DM86,1,0.23333333333333334 903 | Warren,LB,1,0.23333333333333334 904 | Warren,PM,1,0.23333333333333334 905 | Warren,UN,1,0.23333333333333334 906 | Warren,WB,1,0.23333333333333334 907 | Winneshiek,11,1,0.128 908 | Clayton,CC-SY,3,0.5 909 | Clayton,ELMYVO,3,0.5 910 | Clayton,FB-WG,3,0.5 911 | Muscatine,F2LA,3,0.5 912 | Muscatine,76CE,3,0.5 913 | Muscatine,WTMW,3,0.5 914 | Dickinson,PCT 10,4,0.5 915 | Dickinson,PCT 12,4,0.5 916 | Dickinson,PCT 14,4,0.5 917 | Hamilton,PCT 2,5,0.5 918 | Lyon,P1,5,0.5 919 | Calhoun,BUWM,6,0.5 920 | Webster,6,6,0.5 921 | Shelby,3,10,0.5 922 | Shelby,5,10,0.5 923 | Shelby,7,10,0.5 924 | Shelby,10,10,0.5 925 | Crawford,SE,5,0.75 926 | Winnebago,BUGRLC,5,0.75 927 | Winnebago,FC 1,5,0.75 928 | Dickinson,PCT 03,6,0.75 929 | Dickinson,PCT 11,6,0.75 930 | Dickinson,PCT 13,6,0.75 931 | Webster,BD/NWC,9,0.75 932 | Webster,DA/BU,9,0.75 933 | Webster,5,9,0.75 934 | Webster,OT/PV,9,0.75 935 | Benton,ED,10,0.75 936 | Benton,EL,10,0.75 937 | Benton,IA,10,0.75 938 | Benton,VT4,10,0.75 939 | Benton,WA,10,0.75 940 | Delaware,SFUN,10,0.75 941 | Union,CS1,10,0.75 942 | Wayne,H03,10,0.75 943 | Monona,CP003,15,0.75 944 | Shelby,6,15,0.75 945 | Clayton,BM-HI,9,1.5 946 | Muscatine,MU09,9,1.5 947 | Muscatine,MU10,9,1.5 948 | Muscatine,BL,9,1.5 949 | Winnebago,CENTER,10,1.5 950 | Audubon,1,15,1.5 951 | Audubon,2,15,1.5 952 | Louisa,SEL,15,1.5 953 | Webster,11,18,1.5 954 | Benton,PO,20,1.5 955 | Marion,CL,2,0.36 956 | Marion,IN,2,0.36 957 | Marion,LB,2,0.36 958 | Marion,WS,2,0.36 959 | Cass,LW,3,0.36 960 | Fayette,FB,3,0.36 961 | Fayette,IL,3,0.36 962 | Fayette,JF,3,0.36 963 | Fayette,WE2,3,0.36 964 | Madison,GMW,3,0.36 965 | Pottawattamie,CARSON,3,0.36 966 | Pottawattamie,GLWCW,3,0.36 967 | Pottawattamie,MCCLELL,3,0.36 968 | Wapello,GR,4,0.36 969 | Wapello,KE,4,0.36 970 | Davis,BF3,12,0.36 971 | Davis,NE,12,0.36 972 | Des Moines,PW,1,0.36 973 | Des Moines,HJ,2,0.72 974 | Des Moines,UNION,2,0.72 975 | Cass,AT4,6,0.72 976 | Cass,AT5,6,0.72 977 | Cass,AN,6,0.72 978 | Greene,NORTH,6,0.72 979 | Madison,JDL,6,0.72 980 | Pottawattamie,TREYNOR,6,0.72 981 | Wapello,AG,8,0.72 982 | Wapello,CN,8,0.72 983 | Clarke,NE,9,0.72 984 | Page,CL1,9,0.72 985 | Hardin,AL,10,0.72 986 | Des Moines,MY,4,1.44 987 | Marion,PE3,8,1.44 988 | "Jones ",ANN,9,1.44 989 | Mahaska,OS3,9,1.44 990 | Marshall,9 1-1,9,1.44 991 | Marshall,10 1-2,9,1.44 992 | Greene,J3,12,1.44 993 | Pottawattamie,CB 02,12,1.44 994 | Pottawattamie,CB 18,12,1.44 995 | Linn,CR05,6,2.6372093023255814 996 | Linn,CR06,6,2.6372093023255814 997 | Linn,CR11,6,2.6372093023255814 998 | Linn,CR13,6,2.6372093023255814 999 | Linn,CR14,6,2.6372093023255814 1000 | Linn,CR16,6,2.6372093023255814 1001 | Linn,CR17,6,2.6372093023255814 1002 | Linn,CR23,6,2.6372093023255814 1003 | Linn,CR29,6,2.6372093023255814 1004 | Linn,CR32,6,2.6372093023255814 1005 | Linn,CR33,6,2.6372093023255814 1006 | Linn,CR34,6,2.6372093023255814 1007 | Linn,CR35,6,2.6372093023255814 1008 | Linn,HIA01,6,2.6372093023255814 1009 | Linn,MR07,6,2.6372093023255814 1010 | Linn,MR08,6,2.6372093023255814 1011 | Linn,MR11,6,2.6372093023255814 1012 | Linn,MR13,6,2.6372093023255814 1013 | Linn,ROB,6,2.6372093023255814 1014 | Linn,TFRA,6,2.6372093023255814 1015 | Linn,TWAS,6,2.6372093023255814 1016 | Linn,CR44,3,1.3186046511627907 1017 | Linn,MR02,3,1.3186046511627907 1018 | Linn,MR12,3,1.3186046511627907 1019 | Linn,TBRO,3,1.3186046511627907 1020 | Linn,TFAI,3,1.3186046511627907 1021 | Linn,TMAI,3,1.3186046511627907 1022 | Linn,TMON1,3,1.3186046511627907 1023 | Linn,TMON2,3,1.3186046511627907 1024 | Cedar,DA,4,0.6857142857142857 1025 | Cedar,MA,4,0.6857142857142857 1026 | Cedar,TT1,4,0.6857142857142857 1027 | Cedar,TT2,4,0.6857142857142857 1028 | Jackson,4,4,0.6857142857142857 1029 | Jackson,6,4,0.6857142857142857 1030 | Jackson,12,4,0.6857142857142857 1031 | Jackson,14,4,0.6857142857142857 1032 | Emmet,8,6,0.6857142857142857 1033 | Keokuk,LF/CC,6,0.6857142857142857 1034 | Adams,AD1,8,0.6857142857142857 1035 | Adams,AD3,8,0.6857142857142857 1036 | "Guthrie ",5,8,0.6857142857142857 1037 | Emmet,3,2,0.22857142857142856 1038 | Emmet,5,2,0.22857142857142856 1039 | Emmet,11,2,0.22857142857142856 1040 | Keokuk,AD,2,0.22857142857142856 1041 | Keokuk,RL,2,0.22857142857142856 1042 | Keokuk,SG1,2,0.22857142857142856 1043 | Keokuk,SG2,2,0.22857142857142856 1044 | Keokuk,SG3,2,0.22857142857142856 1045 | Keokuk,SG4,2,0.22857142857142856 1046 | Scott,B11,7,2.8933333333333335 1047 | Scott,B41,7,2.8933333333333335 1048 | Scott,B42,7,2.8933333333333335 1049 | Scott,B51,7,2.8933333333333335 1050 | Scott,D41,7,2.8933333333333335 1051 | Scott,D51,7,2.8933333333333335 1052 | Scott,D63,7,2.8933333333333335 1053 | Scott,D71,7,2.8933333333333335 1054 | Scott,D72,7,2.8933333333333335 1055 | Scott,D82,7,2.8933333333333335 1056 | Scott,D83,7,2.8933333333333335 1057 | Polk,DM 004,6,1.6788008565310495 1058 | Polk,DM 008,6,1.6788008565310495 1059 | Polk,DM 013,6,1.6788008565310495 1060 | Polk,DM 014,6,1.6788008565310495 1061 | Polk,DM 017,6,1.6788008565310495 1062 | Polk,DM 025,6,1.6788008565310495 1063 | Polk,DM 030,6,1.6788008565310495 1064 | Polk,DM 033,6,1.6788008565310495 1065 | Polk,DM 038,6,1.6788008565310495 1066 | Polk,DM 045,6,1.6788008565310495 1067 | Polk,DM 046,6,1.6788008565310495 1068 | Polk,DM 070,6,1.6788008565310495 1069 | Polk,DM 077,6,1.6788008565310495 1070 | Polk,DM 082,6,1.6788008565310495 1071 | Polk,BOND 1,6,1.6788008565310495 1072 | Polk,CLIVE 1,6,1.6788008565310495 1073 | Polk,CROCK 1,6,1.6788008565310495 1074 | Polk,FOUR MI,6,1.6788008565310495 1075 | Polk,JOHN 6,6,1.6788008565310495 1076 | Polk,MITCHEL,6,1.6788008565310495 1077 | Polk,SAYLOR2,6,1.6788008565310495 1078 | Polk,WDM-213,6,1.6788008565310495 1079 | Polk,WDM-314,6,1.6788008565310495 1080 | Polk,WHTS 1,6,1.6788008565310495 1081 | Johnson,CV.01,9,3.6450000000000005 1082 | Johnson,CV.07,9,3.6450000000000005 1083 | Johnson,IC.05,9,3.6450000000000005 1084 | Johnson,IC.09,9,3.6450000000000005 1085 | Johnson,IC.12,9,3.6450000000000005 1086 | Johnson,IC.14,9,3.6450000000000005 1087 | Johnson,IC.20,9,3.6450000000000005 1088 | Johnson,NL.03,9,3.6450000000000005 1089 | Woodbury,33,1,0.2125 1090 | Woodbury,37,1,0.2125 1091 | Woodbury,39,1,0.2125 1092 | Woodbury,40,1,0.2125 1093 | Woodbury,41,1,0.2125 1094 | Woodbury,42,1,0.2125 1095 | Woodbury,43,1,0.2125 1096 | Woodbury,44,1,0.2125 1097 | Crawford,CO,2,0.3 1098 | Ida,IG1,2,0.3 1099 | Ida,IG2,2,0.3 1100 | Ida,BL,2,0.3 1101 | Winnebago,EDLONO,2,0.3 1102 | Winnebago,KILI,2,0.3 1103 | Winnebago,MVFOD2,2,0.3 1104 | Mitchell,5,4,0.3 1105 | Union,LR,4,0.3 1106 | Pocahontas,PH2,5,0.3 1107 | Davis,SE,10,0.3 1108 | Crawford,DC-AB,4,0.6 1109 | Crawford,NE,4,0.6 1110 | Ida,MP,4,0.6 1111 | Winnebago,FC3D3,4,0.6 1112 | Winnebago,FC 2,4,0.6 1113 | Cass,AT2,5,0.6 1114 | Cass,AT3,5,0.6 1115 | Cass,GS,5,0.6 1116 | Fayette,PL,5,0.6 1117 | Fayette,WE1,5,0.6 1118 | Greene,CENTRAL,5,0.6 1119 | Madison,WO,5,0.6 1120 | Pottawattamie,MINDEN,5,0.6 1121 | Adams,AD2,7,0.6 1122 | Adams,AD4,7,0.6 1123 | Benton,VT2,8,0.6 1124 | Fremont,FG,8,0.6 1125 | Mitchell,OS1,8,0.6 1126 | Mitchell,6,8,0.6 1127 | Wayne,A01,8,0.6 1128 | Worth,W11,9,0.6 1129 | Cedar,GW,7,1.2 1130 | Cedar,LN,7,1.2 1131 | Crawford,D2-DT,8,1.2 1132 | Crawford,D3-GR,8,1.2 1133 | Wright,CL,9,1.2 1134 | Madison,PM,10,1.2 1135 | Pottawattamie,CB 03,10,1.2 1136 | Pottawattamie,CB 04,10,1.2 1137 | Pottawattamie,CB 05,10,1.2 1138 | Pottawattamie,CB 13,10,1.2 1139 | Pottawattamie,CB 14,10,1.2 1140 | "Guthrie ",4,14,1.2 1141 | Delaware,MC3,16,1.2 1142 | Henry,MP2,18,1.2 1143 | Sac,4,18,1.2 1144 | Worth,W12,18,1.2 1145 | Woodbury,1,8,1.7 1146 | Woodbury,2,8,1.7 1147 | Woodbury,3,8,1.7 1148 | Woodbury,5,8,1.7 1149 | Woodbury,7,8,1.7 1150 | Woodbury,10,8,1.7 1151 | Woodbury,18,8,1.7 1152 | Woodbury,22,8,1.7 1153 | Woodbury,26,8,1.7 1154 | Woodbury,27,8,1.7 1155 | Grundy,P2,3,0.30000000000000004 1156 | Grundy,P4,3,0.30000000000000004 1157 | Iowa,DA,3,0.30000000000000004 1158 | Iowa,HS,3,0.30000000000000004 1159 | Iowa,HC,3,0.30000000000000004 1160 | Lyon,P3,3,0.30000000000000004 1161 | Osceola,AT,3,0.30000000000000004 1162 | Osceola,OX,3,0.30000000000000004 1163 | Taylor,3TWNSHP,3,0.30000000000000004 1164 | Van Buren,DO,3,0.30000000000000004 1165 | Monona,ON106,6,0.30000000000000004 1166 | Monona,SH010,6,0.30000000000000004 1167 | Buena Vista,LKHM,3,0.6000000000000001 1168 | Hamilton,PCT 5,6,0.6000000000000001 1169 | Hancock,1,6,0.6000000000000001 1170 | Iowa,EN,6,0.6000000000000001 1171 | Iowa,HL,6,0.6000000000000001 1172 | Iowa,PI,6,0.6000000000000001 1173 | Louisa,MS,6,0.6000000000000001 1174 | Lyon,P8,6,0.6000000000000001 1175 | Taylor,BECITY,6,0.6000000000000001 1176 | Shelby,8,12,0.6000000000000001 1177 | Black Hawk,EO00,7,1.4140000000000001 1178 | Black Hawk,DK00,7,1.4140000000000001 1179 | Black Hawk,PK02,7,1.4140000000000001 1180 | Black Hawk,W202,7,1.4140000000000001 1181 | Black Hawk,W303,7,1.4140000000000001 1182 | Black Hawk,W304,7,1.4140000000000001 1183 | Black Hawk,W402,7,1.4140000000000001 1184 | Black Hawk,W404,7,1.4140000000000001 1185 | Black Hawk,W503,7,1.4140000000000001 1186 | Dallas,AL2,4,1.6571428571428573 1187 | Dallas,BDM,4,1.6571428571428573 1188 | Dallas,PY1,4,1.6571428571428573 1189 | Dallas,PY2,4,1.6571428571428573 1190 | Dallas,SGDC,4,1.6571428571428573 1191 | Dallas,VM,4,1.6571428571428573 1192 | Dallas,WM223,4,1.6571428571428573 1193 | Dallas,WM226,4,1.6571428571428573 1194 | Des Moines,BU6,3,1.08 1195 | Des Moines,DM,3,1.08 1196 | Marion,DA,6,1.08 1197 | Marion,KX1,6,1.08 1198 | Marion,KX2,6,1.08 1199 | Marion,OTLEY,6,1.08 1200 | Marion,PE4,6,1.08 1201 | Fayette,OE3,9,1.08 1202 | Pottawattamie,CB 01,9,1.08 1203 | Pottawattamie,CB 19,9,1.08 1204 | Pottawattamie,CB 20,9,1.08 1205 | Wapello,OT05,12,1.08 1206 | Wapello,OT06,12,1.08 1207 | Wapello,OT07,12,1.08 1208 | Black Hawk,X303,9,1.818 1209 | Black Hawk,X403,9,1.818 1210 | Black Hawk,W102,9,1.818 1211 | Black Hawk,W104,9,1.818 1212 | Black Hawk,W203,9,1.818 1213 | Black Hawk,W205,9,1.818 1214 | Black Hawk,W206,9,1.818 1215 | Black Hawk,W302,9,1.818 1216 | Black Hawk,W504,9,1.818 1217 | Black Hawk,W506,9,1.818 1218 | Calhoun,GREENFI,2,0.16666666666666666 1219 | Calhoun,UNION,2,0.16666666666666666 1220 | Webster,CP,2,0.16666666666666666 1221 | Webster,FU,2,0.16666666666666666 1222 | Webster,LG,2,0.16666666666666666 1223 | Webster,NE,2,0.16666666666666666 1224 | Webster,WA,2,0.16666666666666666 1225 | Clayton,BV,1,0.16666666666666666 1226 | Clayton,GM,1,0.16666666666666666 1227 | Clayton,MR,1,0.16666666666666666 1228 | Clayton,RD,1,0.16666666666666666 1229 | Muscatine,OR,1,0.16666666666666666 1230 | Clayton,LM,2,0.3333333333333333 1231 | Muscatine,GO,2,0.3333333333333333 1232 | Muscatine,PI,2,0.3333333333333333 1233 | Webster,CD,4,0.3333333333333333 1234 | Webster,DJ,4,0.3333333333333333 1235 | Sac,3,5,0.3333333333333333 1236 | Sac,9,5,0.3333333333333333 1237 | Worth,W23,5,0.3333333333333333 1238 | Worth,W24,5,0.3333333333333333 1239 | Franklin,GNIGEM,6,0.3333333333333333 1240 | Clayton,CL-GV,4,0.6666666666666666 1241 | Muscatine,F1,4,0.6666666666666666 1242 | Palo Alto,EM1,8,0.6666666666666666 1243 | Palo Alto,EM2,8,0.6666666666666666 1244 | Palo Alto,WB,8,0.6666666666666666 1245 | Webster,DO,8,0.6666666666666666 1246 | Henry,SW,10,0.6666666666666666 1247 | Franklin,HP3,12,0.6666666666666666 1248 | Dubuque,16,5,1.3333333333333333 1249 | Dubuque,17,5,1.3333333333333333 1250 | Dubuque,39,5,1.3333333333333333 1251 | Clayton,MN,8,1.3333333333333333 1252 | Muscatine,MU02,8,1.3333333333333333 1253 | Muscatine,MU03,8,1.3333333333333333 1254 | Webster,2,16,1.3333333333333333 1255 | Henry,CE,20,1.3333333333333333 1256 | Polk,DM 002,7,1.9586009992862243 1257 | Polk,DM 023,7,1.9586009992862243 1258 | Polk,DM 029,7,1.9586009992862243 1259 | Polk,DM 031,7,1.9586009992862243 1260 | Polk,DM 032,7,1.9586009992862243 1261 | Polk,DM 037,7,1.9586009992862243 1262 | Polk,DM 040,7,1.9586009992862243 1263 | Polk,DM 075,7,1.9586009992862243 1264 | Polk,DM 076,7,1.9586009992862243 1265 | Polk,DM 078,7,1.9586009992862243 1266 | Polk,DM 081,7,1.9586009992862243 1267 | Polk,BOND 2,7,1.9586009992862243 1268 | Polk,GRIMES3,7,1.9586009992862243 1269 | Polk,WDM-115,7,1.9586009992862243 1270 | Polk,WDM-211,7,1.9586009992862243 1271 | Polk,WHTS 2,7,1.9586009992862243 1272 | Polk,DM 003,9,2.5182012847965742 1273 | Polk,DM 007,9,2.5182012847965742 1274 | Polk,DM 009,9,2.5182012847965742 1275 | Polk,DM 021,9,2.5182012847965742 1276 | Polk,DM 073,9,2.5182012847965742 1277 | Polk,ALT 2,9,2.5182012847965742 1278 | Polk,ANK 03,9,2.5182012847965742 1279 | Polk,ANK 04,9,2.5182012847965742 1280 | Polk,ANK 11,9,2.5182012847965742 1281 | Polk,ANK 15,9,2.5182012847965742 1282 | Polk,CLIVE 2,9,2.5182012847965742 1283 | Polk,PH 1,9,2.5182012847965742 1284 | Polk,PH 2,9,2.5182012847965742 1285 | Polk,PH 3,9,2.5182012847965742 1286 | Polk,URB 01,9,2.5182012847965742 1287 | Polk,URB 04,9,2.5182012847965742 1288 | Polk,URB 11,9,2.5182012847965742 1289 | Polk,WDM-116,9,2.5182012847965742 1290 | Polk,WDM-117,9,2.5182012847965742 1291 | Polk,WDM-118,9,2.5182012847965742 1292 | Polk,WDM-317,9,2.5182012847965742 1293 | Polk,WHTS 3,9,2.5182012847965742 1294 | Linn,CR01,5,2.197674418604651 1295 | Linn,CR02,5,2.197674418604651 1296 | Linn,CR03,5,2.197674418604651 1297 | Linn,CR04,5,2.197674418604651 1298 | Linn,CR08,5,2.197674418604651 1299 | Linn,CR09,5,2.197674418604651 1300 | Linn,CR15,5,2.197674418604651 1301 | Linn,CR27,5,2.197674418604651 1302 | Linn,CR38,5,2.197674418604651 1303 | Linn,CR40,5,2.197674418604651 1304 | Linn,CR42,5,2.197674418604651 1305 | Linn,FAI,5,2.197674418604651 1306 | Linn,MR01,5,2.197674418604651 1307 | Linn,MR03,5,2.197674418604651 1308 | Linn,MR09,5,2.197674418604651 1309 | Linn,MR10,5,2.197674418604651 1310 | Linn,TPUT,5,2.197674418604651 1311 | Lee,FM1,5,0.7000000000000001 1312 | Lee,KE1,5,0.7000000000000001 1313 | Lee,KE2A,5,0.7000000000000001 1314 | Poweshiek,10,5,0.7000000000000001 1315 | Hamilton,PCT 1,7,0.7000000000000001 1316 | Lyon,P4,7,0.7000000000000001 1317 | Osceola,OS2,7,0.7000000000000001 1318 | Chickasaw,NH3,10,0.7000000000000001 1319 | Chickasaw,NH4,10,0.7000000000000001 1320 | Linn,CR07,4,1.758139534883721 1321 | Linn,CR18,4,1.758139534883721 1322 | Linn,CR22,4,1.758139534883721 1323 | Linn,CR43,4,1.758139534883721 1324 | Linn,HIA02,4,1.758139534883721 1325 | Linn,MR04,4,1.758139534883721 1326 | Linn,MR14,4,1.758139534883721 1327 | Linn,MVN,4,1.758139534883721 1328 | Scott,AG,1,0.41333333333333333 1329 | Scott,B23,1,0.41333333333333333 1330 | Scott,BF,1,0.41333333333333333 1331 | Scott,DH,1,0.41333333333333333 1332 | Scott,HG,1,0.41333333333333333 1333 | Scott,LB,1,0.41333333333333333 1334 | Scott,MC,1,0.41333333333333333 1335 | Scott,RV,1,0.41333333333333333 1336 | Scott,WF,1,0.41333333333333333 1337 | Scott,B21,4,1.6533333333333333 1338 | Scott,BG,4,1.6533333333333333 1339 | Scott,D22,4,1.6533333333333333 1340 | Scott,D23,4,1.6533333333333333 1341 | Scott,D32,4,1.6533333333333333 1342 | Scott,D33,4,1.6533333333333333 1343 | Scott,D74,4,1.6533333333333333 1344 | Scott,LC1,4,1.6533333333333333 1345 | Scott,LC2,4,1.6533333333333333 1346 | Scott,PKV,4,1.6533333333333333 1347 | "Jones ",OX,2,0.32 1348 | Mahaska,AD,2,0.32 1349 | Mahaska,BO,2,0.32 1350 | Mahaska,ED,2,0.32 1351 | Marshall,6 LB-MI,2,0.32 1352 | Marshall,7 MA-WA,2,0.32 1353 | Appanoose,WS,4,0.32 1354 | Appanoose,BL,4,0.32 1355 | Appanoose,JO,4,0.32 1356 | Appanoose,UD,4,0.32 1357 | "Jones ",MN1,4,0.64 1358 | "Jones ",MN2,4,0.64 1359 | "Jones ",MN3,4,0.64 1360 | "Jones ",MN4,4,0.64 1361 | "Jones ",RLWS,4,0.64 1362 | "Jones ",SGMC,4,0.64 1363 | Mahaska,CE,4,0.64 1364 | Mahaska,PR,4,0.64 1365 | Marshall,8 MR-VI,4,0.64 1366 | Marshall,19 TC,4,0.64 1367 | Clarke,OC1,8,0.64 1368 | Clarke,OC2,8,0.64 1369 | Scott,BU,5,2.0666666666666664 1370 | Scott,D11,5,2.0666666666666664 1371 | Scott,D14,5,2.0666666666666664 1372 | Scott,D31,5,2.0666666666666664 1373 | Scott,D34,5,2.0666666666666664 1374 | Scott,D42,5,2.0666666666666664 1375 | Scott,D43,5,2.0666666666666664 1376 | Scott,D44,5,2.0666666666666664 1377 | Scott,D54,5,2.0666666666666664 1378 | Scott,D81,5,2.0666666666666664 1379 | Scott,D84,5,2.0666666666666664 1380 | Scott,EL2,5,2.0666666666666664 1381 | Polk,DM 011,11,3.077801570306924 1382 | Polk,DM 043,11,3.077801570306924 1383 | Polk,DM 058,11,3.077801570306924 1384 | Polk,DM 059,11,3.077801570306924 1385 | Polk,DM 063,11,3.077801570306924 1386 | Polk,DM 065,11,3.077801570306924 1387 | Polk,ALT 5,11,3.077801570306924 1388 | Polk,CLIVE 3,11,3.077801570306924 1389 | Polk,GRIMES2,11,3.077801570306924 1390 | Polk,POLK CI,11,3.077801570306924 1391 | Polk,URB 02,11,3.077801570306924 1392 | Polk,URB 06,11,3.077801570306924 1393 | Polk,URB 07,11,3.077801570306924 1394 | Polk,URB 09,11,3.077801570306924 1395 | Polk,WDM-212,11,3.077801570306924 1396 | Polk,WDM-316,11,3.077801570306924 1397 | Story,21,1,0.415 1398 | Story,23,1,0.415 1399 | Story,27,1,0.415 1400 | Story,28,1,0.415 1401 | Story,29,1,0.415 1402 | Story,34,1,0.415 1403 | Story,36,1,0.415 1404 | Story,37,1,0.415 1405 | Story,38,1,0.415 1406 | Story,42,1,0.415 1407 | Hancock,2,2,0.2 1408 | Hancock,3,2,0.2 1409 | Hancock,8,2,0.2 1410 | Hancock,10,2,0.2 1411 | Lyon,P2,2,0.2 1412 | Lyon,P5,2,0.2 1413 | Osceola,MC,2,0.2 1414 | Osceola,MV,2,0.2 1415 | Taylor,BK,2,0.2 1416 | Taylor,CF,2,0.2 1417 | Taylor,GRAVITY,2,0.2 1418 | Van Buren,CN,2,0.2 1419 | Van Buren,ML,2,0.2 1420 | Sac,5,3,0.2 1421 | Sac,8,3,0.2 1422 | Monona,CN002,4,0.2 1423 | Monona,STC11,4,0.2 1424 | Buena Vista,ACFC,2,0.4 1425 | Buena Vista,NENP,2,0.4 1426 | Buena Vista,TRWG,2,0.4 1427 | Wright,DOWS,3,0.4 1428 | Wright,EG2,3,0.4 1429 | Wright,EG3,3,0.4 1430 | Wright,EG4,3,0.4 1431 | Grundy,P3,4,0.4 1432 | Hancock,7,4,0.4 1433 | Hancock,9,4,0.4 1434 | Lyon,P7,4,0.4 1435 | Osceola,OS1,4,0.4 1436 | Taylor,NM,4,0.4 1437 | Van Buren,BI,4,0.4 1438 | Van Buren,BO,4,0.4 1439 | Van Buren,FM,4,0.4 1440 | Appanoose,PS,5,0.4 1441 | Appanoose,WALNUT,5,0.4 1442 | Montgomery,6,5,0.4 1443 | Page,PC,5,0.4 1444 | Sac,6,6,0.4 1445 | Monona,AS001,8,0.4 1446 | Dubuque,37,3,0.8 1447 | Dubuque,38,3,0.8 1448 | Buena Vista,2,4,0.8 1449 | "Jones ",ROHA,5,0.8 1450 | Marshall,18 TA,5,0.8 1451 | Iowa,FM,8,0.8 1452 | Iowa,HT,8,0.8 1453 | Osceola,OS3,8,0.8 1454 | Humboldt,H2-B-SN,9,0.8 1455 | Kossuth,AL1,9,0.8 1456 | Appanoose,CV3,10,0.8 1457 | Clarke,OC3,10,0.8 1458 | Montgomery,1,10,0.8 1459 | Montgomery,2,10,0.8 1460 | Page,ER,10,0.8 1461 | Page,SD2,10,0.8 1462 | Clayton,GDLUMO,7,1.1666666666666665 1463 | Muscatine,MU04,7,1.1666666666666665 1464 | Muscatine,MU05,7,1.1666666666666665 1465 | Muscatine,MU07,7,1.1666666666666665 1466 | Muscatine,WL2,7,1.1666666666666665 1467 | Webster,4,14,1.1666666666666665 1468 | Webster,7,14,1.1666666666666665 1469 | Webster,12,14,1.1666666666666665 1470 | Johnson,CV.04,7,2.835 1471 | Johnson,CV.05,7,2.835 1472 | Johnson,IC.03,7,2.835 1473 | Johnson,IC.10,7,2.835 1474 | Johnson,IC.13,7,2.835 1475 | Johnson,IC.19,7,2.835 1476 | Johnson,NP,7,2.835 1477 | Johnson,NL.01,7,2.835 1478 | Johnson,NL.02,7,2.835 1479 | Pocahontas,GT,2,0.12 1480 | Cass,VI,1,0.12 1481 | Cass,CU,1,0.12 1482 | Fayette,CE,1,0.12 1483 | Fayette,SC,1,0.12 1484 | Fayette,SF,1,0.12 1485 | Fayette,UN,1,0.12 1486 | Pottawattamie,MACEDON,1,0.12 1487 | Cass,BN,2,0.24 1488 | Cass,MS,2,0.24 1489 | Fayette,AU,2,0.24 1490 | Fayette,DV,2,0.24 1491 | Fayette,ED,2,0.24 1492 | Fayette,OR,2,0.24 1493 | Pottawattamie,HANCOCK,2,0.24 1494 | Clarke,WB,3,0.24 1495 | Montgomery,4,3,0.24 1496 | Montgomery,5,3,0.24 1497 | "Jones ",GF,3,0.48 1498 | "Jones ",WY,3,0.48 1499 | Mahaska,GF,3,0.48 1500 | Mahaska,SP,3,0.48 1501 | Marshall,1 BA-LS,3,0.48 1502 | Marshall,3 GC,3,0.48 1503 | Marshall,4 JF,3,0.48 1504 | Cass,AT1,4,0.48 1505 | Cass,MR,4,0.48 1506 | Fayette,BF,4,0.48 1507 | Fayette,BW,4,0.48 1508 | Fayette,CL,4,0.48 1509 | Fayette,FP,4,0.48 1510 | Fayette,HL,4,0.48 1511 | Fayette,WE3,4,0.48 1512 | Greene,WEST,4,0.48 1513 | Pottawattamie,WALNUT,4,0.48 1514 | Appanoose,VM,6,0.48 1515 | Clarke,MDL,6,0.48 1516 | Clarke,MY,6,0.48 1517 | Page,SD1,6,0.48 1518 | Pocahontas,CD,8,0.48 1519 | Davis,BF1,16,0.48 1520 | Davis,BF2,16,0.48 1521 | Davis,CN,16,0.48 1522 | Mahaska,OS1,6,0.96 1523 | Marshall,5 LG,6,0.96 1524 | Fayette,OE1,8,0.96 1525 | Greene,J1,8,0.96 1526 | Greene,J2,8,0.96 1527 | Pottawattamie,CB 21,8,0.96 1528 | Pottawattamie,AVOCA,8,0.96 1529 | Pottawattamie,NEOLA,8,0.96 1530 | Pottawattamie,OAKLAND,8,0.96 1531 | Montgomery,3,12,0.96 1532 | Linn,CR10,7,3.0767441860465117 1533 | Linn,CR19,7,3.0767441860465117 1534 | Linn,CR20,7,3.0767441860465117 1535 | Linn,CR21,7,3.0767441860465117 1536 | Linn,CR28,7,3.0767441860465117 1537 | Linn,CR30,7,3.0767441860465117 1538 | Linn,CR37,7,3.0767441860465117 1539 | Linn,CR41,7,3.0767441860465117 1540 | Linn,MR06,7,3.0767441860465117 1541 | Linn,MVS,7,3.0767441860465117 1542 | Linn,TBER,7,3.0767441860465117 1543 | Polk,DM 020,8,2.238401142041399 1544 | Polk,DM 022,8,2.238401142041399 1545 | Polk,DM 026,8,2.238401142041399 1546 | Polk,DM 036,8,2.238401142041399 1547 | Polk,DM 047,8,2.238401142041399 1548 | Polk,DM 050,8,2.238401142041399 1549 | Polk,DM 057,8,2.238401142041399 1550 | Polk,DM 064,8,2.238401142041399 1551 | Polk,DM 069,8,2.238401142041399 1552 | Polk,DM 079,8,2.238401142041399 1553 | Polk,DM 083,8,2.238401142041399 1554 | Polk,ANK 07,8,2.238401142041399 1555 | Polk,ANK 10,8,2.238401142041399 1556 | Polk,JOHN 3,8,2.238401142041399 1557 | Polk,SAYLOR1,8,2.238401142041399 1558 | Polk,WDM-111,8,2.238401142041399 1559 | Polk,WDM-113,8,2.238401142041399 1560 | Polk,WDM-315,8,2.238401142041399 1561 | Polk,DM 001,4,1.1192005710206996 1562 | Polk,DM 005,4,1.1192005710206996 1563 | Polk,DM 019,4,1.1192005710206996 1564 | Polk,DM 024,4,1.1192005710206996 1565 | Polk,DM 035,4,1.1192005710206996 1566 | Polk,DM 053,4,1.1192005710206996 1567 | Polk,DM 054,4,1.1192005710206996 1568 | Polk,DM 074,4,1.1192005710206996 1569 | Polk,CROCK 2,4,1.1192005710206996 1570 | Polk,ELKHART,4,1.1192005710206996 1571 | Polk,FRANKLI,4,1.1192005710206996 1572 | Polk,WDM-313,4,1.1192005710206996 1573 | Crawford,SRK,3,0.44999999999999996 1574 | Ida,IG3,3,0.44999999999999996 1575 | Winnebago,FC 4,3,0.44999999999999996 1576 | Winnebago,NEFOD1,3,0.44999999999999996 1577 | Wapello,CB,5,0.44999999999999996 1578 | Benton,BP1,6,0.44999999999999996 1579 | Benton,BP3,6,0.44999999999999996 1580 | Benton,HO,6,0.44999999999999996 1581 | Benton,KA,6,0.44999999999999996 1582 | Delaware,DW,6,0.44999999999999996 1583 | Mitchell,OS2,6,0.44999999999999996 1584 | Marion,KX4,5,0.8999999999999999 1585 | Marion,LP,5,0.8999999999999999 1586 | Crawford,D1,6,0.8999999999999999 1587 | Ida,GG,6,0.8999999999999999 1588 | Benton,FL,12,0.8999999999999999 1589 | Benton,VT1,12,0.8999999999999999 1590 | Delaware,MC1,12,0.8999999999999999 1591 | Delaware,MLPR,12,0.8999999999999999 1592 | Fremont,SN,12,0.8999999999999999 1593 | Mitchell,9,12,0.8999999999999999 1594 | Des Moines,BU3,5,1.7999999999999998 1595 | Des Moines,BU4,5,1.7999999999999998 1596 | Des Moines,BU5,5,1.7999999999999998 1597 | Des Moines,FM,5,1.7999999999999998 1598 | Pottawattamie,CB 06,15,1.7999999999999998 1599 | Pottawattamie,CB 07,15,1.7999999999999998 1600 | Pottawattamie,CB 10B,15,1.7999999999999998 1601 | Pottawattamie,CB 17,15,1.7999999999999998 1602 | Wapello,OT02,20,1.7999999999999998 1603 | Scott,B12,6,2.48 1604 | Scott,B22,6,2.48 1605 | Scott,B31,6,2.48 1606 | Scott,B32,6,2.48 1607 | Scott,D12,6,2.48 1608 | Scott,D13,6,2.48 1609 | Scott,D21,6,2.48 1610 | Scott,D24,6,2.48 1611 | Scott,D52,6,2.48 1612 | Scott,D53,6,2.48 1613 | Scott,D61,6,2.48 1614 | Scott,D62,6,2.48 1615 | Scott,D73,6,2.48 1616 | Scott,EL1,6,2.48 1617 | Cerro Gordo,MC W3P3,14,2.48 1618 | Warren,CM WDM,2,0.4666666666666667 1619 | Warren,LC1,2,0.4666666666666667 1620 | Warren,SQC,2,0.4666666666666667 1621 | Warren,VA,2,0.4666666666666667 1622 | Mills,PJ,3,0.4666666666666667 1623 | Butler,3-DU,4,0.4666666666666667 1624 | Butler,4-AL,4,0.4666666666666667 1625 | Harrison,MA,5,0.4666666666666667 1626 | Harrison,TA,5,0.4666666666666667 1627 | Sac,1,7,0.4666666666666667 1628 | Worth,W21,7,0.4666666666666667 1629 | Worth,W22,7,0.4666666666666667 1630 | Dubuque,3,7,1.8666666666666667 1631 | Dubuque,8,7,1.8666666666666667 1632 | Dubuque,13,7,1.8666666666666667 1633 | Dubuque,18,7,1.8666666666666667 1634 | Dubuque,33,7,1.8666666666666667 1635 | Dubuque,36,7,1.8666666666666667 1636 | Dubuque,41,7,1.8666666666666667 1637 | Dubuque,42,7,1.8666666666666667 1638 | Warren,AL3,8,1.8666666666666667 1639 | Warren,NW1,8,1.8666666666666667 1640 | Wright,BM,14,1.8666666666666667 1641 | Fayette,OE2,7,0.84 1642 | Fayette,WF,7,0.84 1643 | Greene,EAST,7,0.84 1644 | Madison,JL,7,0.84 1645 | Madison,S,7,0.84 1646 | Pottawattamie,CL 1,7,0.84 1647 | Pottawattamie,CL 2,7,0.84 1648 | Pocahontas,PH1,14,0.84 1649 | Polk,DM 010,10,2.798001427551749 1650 | Polk,DM 028,10,2.798001427551749 1651 | Polk,DM 060,10,2.798001427551749 1652 | Polk,DM 061,10,2.798001427551749 1653 | Polk,DM 071,10,2.798001427551749 1654 | Polk,DM 080,10,2.798001427551749 1655 | Polk,ALT 4,10,2.798001427551749 1656 | Polk,ANK 02,10,2.798001427551749 1657 | Polk,ANK 05,10,2.798001427551749 1658 | Polk,ANK 06,10,2.798001427551749 1659 | Polk,ANK 08,10,2.798001427551749 1660 | Polk,ANK 09,10,2.798001427551749 1661 | Polk,ANK 14,10,2.798001427551749 1662 | Polk,CLIVE 4,10,2.798001427551749 1663 | Polk,JOHN 4,10,2.798001427551749 1664 | Polk,URB 03,10,2.798001427551749 1665 | Polk,URB 05,10,2.798001427551749 1666 | Polk,URB 08,10,2.798001427551749 1667 | Polk,URB 10,10,2.798001427551749 1668 | Polk,WDM-311,10,2.798001427551749 1669 | Polk,WDM-312,10,2.798001427551749 1670 | Polk,DM 006,5,1.3990007137758744 1671 | Polk,DM 012,5,1.3990007137758744 1672 | Polk,DM 018,5,1.3990007137758744 1673 | Polk,DM 027,5,1.3990007137758744 1674 | Polk,DM 051,5,1.3990007137758744 1675 | Polk,DM 052,5,1.3990007137758744 1676 | Polk,DM 068,5,1.3990007137758744 1677 | Polk,DM 084,5,1.3990007137758744 1678 | Polk,ALT 1,5,1.3990007137758744 1679 | Polk,DEL 1,5,1.3990007137758744 1680 | Polk,JEFF 1,5,1.3990007137758744 1681 | Polk,RUNNELL,5,1.3990007137758744 1682 | Polk,WDM-112,5,1.3990007137758744 -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | library(rvest) 2 | library(tidyverse) 3 | library(tidycensus) 4 | library(httr) 5 | library(reshape2) 6 | 7 | source("./theme_powerbi.R") 8 | 9 | # Pull in precinct data from NYT latest endpoint 10 | 11 | precincts <- GET("https://int.nyt.com/applications/elections/2020/data/api/2020-02-03/precincts/IowaDemPrecinctsSFTP-latest.json") %>% content() 12 | 13 | 14 | precincts <- precincts$precincts %>% 15 | map_if(negate(is.list), function(x) flatten_chr(x)) %>% 16 | enframe() 17 | 18 | 19 | results <- precincts$value %>% map("results") %>% bind_rows() 20 | results_first_alignment <- precincts$value %>% map("results_align1") %>% bind_rows() 21 | results_final_alignment <- precincts$value %>% map("results_alignfinal") %>% bind_rows() 22 | 23 | ## Ugly but doing it on the fly 24 | precinct_details <- precincts$value %>% 25 | map(function(x) keep(x, negate(is.list))) %>% 26 | map(bind_rows) %>% map(sapply, as.character) %>% 27 | map(bind_rows) %>% bind_rows() 28 | 29 | precinct_details <- precinct_details %>% 30 | mutate(precinct = paste0(precinct, "-", precinct_id)) 31 | 32 | 33 | precinct_names <- precinct_details %>% 34 | select(precinct, is_complete) 35 | 36 | 37 | ## Combine first alignment results with precinct details 38 | first_alignment_results <- results_first_alignment %>% bind_cols(precinct_names) %>% 39 | melt(id.vars = c("precinct", "is_complete")) %>% rename(candidate = variable, votes_first = value) %>% 40 | group_by(precinct) %>% mutate(total_first = sum(votes_first)) %>% 41 | group_by(precinct, candidate) %>% mutate(percent_first = votes_first/total_first) %>% 42 | mutate(candidate_not_viable_first = ifelse(percent_first < .15, TRUE, FALSE)) %>% 43 | group_by(candidate) %>% 44 | ungroup() 45 | 46 | 47 | ## Same same with final results 48 | final_alignment_results <- results_final_alignment %>% bind_cols(precinct_names) %>% 49 | melt(id.vars = c("precinct", "is_complete")) %>% rename(candidate = variable, votes_final = value) %>% 50 | group_by(precinct) %>% mutate(total_final = sum(votes_final)) %>% 51 | group_by(precinct, candidate) %>% mutate(percent_final = votes_final/total_final) %>% 52 | mutate(candidate_viable_final = ifelse(percent_final > .15, TRUE, FALSE)) %>% 53 | ungroup() 54 | 55 | 56 | results_full <- first_alignment_results %>% 57 | left_join(final_alignment_results, by = c("precinct", "candidate", "is_complete")) %>% 58 | mutate(change_from_first = votes_final - votes_first) 59 | 60 | 61 | viability <- results_full %>% filter(is_complete == "TRUE") %>% 62 | select(precinct, candidate, candidate_not_viable_first) %>% 63 | mutate(candidate = paste0(candidate, "_not_viable_after_first")) %>% 64 | dcast(precinct ~ candidate) 65 | 66 | 67 | change_between_rounds <- results_full %>% 68 | filter(is_complete == "TRUE") %>% 69 | select(precinct, candidate, change_from_first) %>% 70 | mutate(candidate = paste0(candidate, "_change")) %>% 71 | dcast(precinct~candidate) 72 | 73 | Iowa Weirdness 74 | -------------- 75 | 76 | I noticed some strange data discrepancies between the precinct level 77 | vote counts in the first and final alignment of the Iowa Caucus. These 78 | are: 79 | 80 | - Indianola 2 - (precinct == “IN2-948050”) in the data 81 | - Deval Patrick’s 41 votes apparently moving to Bernie Sanders in 82 | final round, with Bernie having 0 in the first 83 | - Tom Steyer’s 50 votes moving to Elizabeth Warren in the final round, 84 | with Warren having 0 in the first 85 | - Council Bluffs 12 - (precinct == “CB 12-947794”) 86 | - Michael Bloomberg’s 24 votes moving to Buttigieg in the final round, 87 | with Buttigieg having 0 in the first 88 | 89 | These observations and others with similar patterns (that I have not had 90 | the time to fully validate) are available in the table below. Feel free 91 | to snoop and update the thread with anything you see. 92 | 93 | ## Coded few conditions that might be of interest. 94 | results_full %>% 95 | group_by(precinct) %>% 96 | mutate(unviable_to_viable = ifelse((candidate_not_viable_first & candidate_viable_final & 97 | !candidate %in% c("other", "uncommitted")), TRUE, FALSE), 98 | viable_to_unviable = ifelse((!candidate_not_viable_first & !candidate_viable_final & 99 | !candidate %in% c("other", "uncommitted")), TRUE, FALSE), 100 | zero_votes_to_nonzero_votes = ifelse((votes_first == 0 & votes_final > 0), TRUE, FALSE), 101 | viable_to_zero_votes = ifelse((!candidate_not_viable_first & votes_final == 0 & 102 | !candidate %in% c("other", "uncommitted")), TRUE, FALSE)) %>% 103 | group_by(precinct) %>% arrange(precinct, candidate) %>% 104 | mutate(mickey_mouse_shit = ifelse((zero_votes_to_nonzero_votes|viable_to_zero_votes), TRUE, FALSE)) %>% 105 | group_by(precinct) %>% 106 | mutate(precincts_with_mms = max(mickey_mouse_shit)) %>% 107 | filter(precincts_with_mms == 1) %>% 108 | arrange(precinct, candidate) %>% 109 | select(viable_to_zero_votes, zero_votes_to_nonzero_votes, viable_to_unviable, 110 | unviable_to_viable, everything()) %>% 111 | filter(viable_to_zero_votes & !candidate %in% c("other", "uncommitted")) %>% 112 | knitr::kable(caption = "Cases of Viable Candidates Receiving 0 Votes in Final Tally") 113 | 114 | 115 | 116 | 117 | 118 | 119 | 120 | 121 | 122 | 123 | 124 | 125 | 126 | 127 | 128 | 129 | 130 | 131 | 132 | 133 | 134 | 135 | 136 | 137 | 138 | 139 | 140 | 141 | 142 | 143 | 144 | 145 | 146 | 147 | 148 | 149 | 150 | 151 | 152 | 153 | 154 | 155 | 156 | 157 | 158 | 159 | 160 | 161 | 162 | 163 | 164 | 165 | 166 | 167 | 168 | 169 | 170 | 171 | 172 | 173 | 174 | 175 | 176 | 177 | 178 | 179 | 180 | 181 | 182 | 183 | 184 | 185 | 186 | 187 | 188 | 189 | 190 | 191 | 192 | 193 | 194 | 195 | 196 | 197 | 198 | 199 | 200 | 201 | 202 | 203 | 204 | 205 | 206 | 207 | 208 | 209 | 210 | 211 | 212 | 213 | 214 | 215 | 216 | 217 | 218 | 219 | 220 | 221 | 222 | 223 | 224 | 225 | 226 | 227 | 228 | 229 | 230 | 231 | 232 | 233 | 234 | 235 | 236 | 237 | 238 | 239 | 240 | 241 | 242 | 243 | 244 | 245 | 246 | 247 | 248 | 249 | 250 | 251 | 252 | 253 | 254 | 255 | 256 | 257 | 258 | 259 | 260 | 261 | 262 | 263 | 264 | 265 | 266 | 267 | 268 | 269 | 270 | 271 | 272 | 273 | 274 | 275 | 276 | 277 | 278 | 279 | 280 | 281 | 282 | 283 | 284 | 285 | 286 | 287 | 288 | 289 | 290 | 291 | 292 | 293 | 294 | 295 | 296 | 297 | 298 | 299 | 300 | 301 | 302 | 303 | 304 | 305 | 306 | 307 | 308 | 309 | 310 | 311 | 312 | 313 | 314 | 315 | 316 | 317 | 318 | 319 | 320 | 321 | 322 | 323 | 324 | 325 | 326 | 327 | 328 | 329 | 330 | 331 | 332 | 333 | 334 | 335 | 336 | 337 | 338 | 339 | 340 | 341 | 342 | 343 | 344 | 345 | 346 | 347 | 348 | 349 | 350 | 351 | 352 | 353 | 354 | 355 | 356 | 357 | 358 | 359 | 360 | 361 | 362 | 363 | 364 | 365 | 366 | 367 | 368 | 369 | 370 | 371 | 372 | 373 | 374 | 375 | 376 | 377 | 378 | 379 | 380 | 381 | 382 | 383 | 384 | 385 | 386 | 387 | 388 | 389 | 390 | 391 | 392 | 393 | 394 | 395 | 396 | 397 | 398 | 399 | 400 | 401 | 402 | 403 | 404 | 405 | 406 | 407 | 408 | 409 | 410 | 411 | 412 | 413 | 414 | 415 | 416 | 417 | 418 | 419 | 420 | 421 | 422 | 423 | 424 | 425 | 426 | 427 | 428 | 429 | 430 | 431 | 432 | 433 | 434 | 435 | 436 | 437 | 438 | 439 | 440 | 441 | 442 | 443 | 444 | 445 | 446 | 447 | 448 | 449 | 450 | 451 | 452 | 453 | 454 | 455 | 456 | 457 | 458 | 459 | 460 | 461 | 462 | 463 | 464 | 465 | 466 | 467 | 468 | 469 | 470 | 471 | 472 | 473 | 474 | 475 | 476 | 477 | 478 | 479 | 480 | 481 | 482 | 483 | 484 | 485 | 486 | 487 | 488 | 489 | 490 | 491 | 492 | 493 | 494 | 495 | 496 | 497 | 498 | 499 | 500 | 501 | 502 | 503 | 504 | 505 | 506 | 507 | 508 | 509 | 510 | 511 | 512 | 513 | 514 | 515 | 516 | 517 | 518 | 519 | 520 | 521 | 522 | 523 | 524 | 525 | 526 | 527 | 528 | 529 | 530 | 531 | 532 | 533 | 534 | 535 | 536 | 537 | 538 | 539 | 540 | 541 | 542 | 543 | 544 | 545 | 546 | 547 | 548 | 549 | 550 | 551 | 552 | 553 | 554 | 555 | 556 | 557 | 558 | 559 | 560 | 561 | 562 | 563 | 564 | 565 | 566 | 567 | 568 | 569 | 570 | 571 | 572 | 573 | 574 | 575 | 576 | 577 | 578 | 579 | 580 | 581 | 582 | 583 | 584 | 585 | 586 | 587 | 588 | 589 | 590 | 591 | 592 | 593 | 594 | 595 | 596 | 597 | 598 | 599 | 600 | 601 | 602 | 603 | 604 | 605 | 606 | 607 | 608 | 609 | 610 | 611 | 612 | 613 | 614 | 615 | 616 | 617 | 618 | 619 | 620 | 621 | 622 | 623 | 624 | 625 | 626 | 627 | 628 | 629 | 630 | 631 | 632 | 633 | 634 | 635 | 636 | 637 | 638 | 639 | 640 | 641 | 642 | 643 | 644 | 645 | 646 | 647 | 648 | 649 | 650 | 651 | 652 | 653 | 654 | 655 | 656 | 657 | 658 | 659 | 660 | 661 | 662 | 663 | 664 | 665 | 666 | 667 | 668 | 669 | 670 | 671 | 672 | 673 | 674 | 675 | 676 | 677 | 678 | 679 | 680 | 681 | 682 | 683 | 684 | 685 | 686 | 687 | 688 | 689 | 690 | 691 | 692 | 693 | 694 | 695 | 696 | 697 | 698 | 699 | 700 | 701 | 702 | 703 | 704 | 705 | 706 | 707 | 708 | 709 | 710 | 711 | 712 | 713 | 714 | 715 | 716 | 717 | 718 | 719 | 720 | 721 | 722 | 723 | 724 | 725 | 726 | 727 | 728 | 729 | 730 | 731 | 732 | 733 | 734 | 735 | 736 | 737 | 738 | 739 | 740 | 741 | 742 | 743 | 744 | 745 | 746 | 747 | 748 | 749 | 750 | 751 | 752 | 753 | 754 | 755 | 756 | 757 | 758 | 759 | 760 | 761 | 762 | 763 | 764 | 765 | 766 | 767 | 768 | 769 | 770 | 771 | 772 | 773 | 774 | 775 | 776 | 777 | 778 | 779 | 780 | 781 | 782 | 783 | 784 | 785 | 786 | 787 | 788 | 789 | 790 | 791 | 792 | 793 | 794 | 795 | 796 | 797 | 798 | 799 | 800 | 801 | 802 | 803 | 804 | 805 | 806 | 807 | 808 | 809 | 810 | 811 | 812 | 813 | 814 | 815 | 816 | 817 | 818 | 819 | 820 | 821 | 822 | 823 | 824 | 825 | 826 | 827 | 828 | 829 | 830 | 831 | 832 | 833 | 834 | 835 | 836 | 837 | 838 | 839 | 840 | 841 | 842 | 843 | 844 | 845 | 846 | 847 | 848 | 849 | 850 | 851 | 852 | 853 | 854 | 855 | 856 | 857 | 858 | 859 | 860 | 861 | 862 | 863 | 864 | 865 | 866 | 867 | 868 | 869 | 870 | 871 | 872 | 873 | 874 | 875 | 876 | 877 | 878 | 879 | 880 | 881 | 882 | 883 | 884 | 885 | 886 | 887 | 888 | 889 | 890 | 891 | 892 | 893 | 894 | 895 | 896 | 897 | 898 | 899 | 900 | 901 | 902 | 903 | 904 | 905 | 906 | 907 | 908 | 909 | 910 | 911 | 912 | 913 | 914 | 915 | 916 | 917 | 918 | 919 | 920 | 921 | 922 | 923 | 924 | 925 | 926 | 927 | 928 | 929 | 930 | 931 | 932 | 933 | 934 | 935 | 936 | 937 | 938 | 939 | 940 | 941 | 942 | 943 | 944 | 945 | 946 | 947 | 948 | 949 | 950 | 951 | 952 | 953 | 954 | 955 | 956 | 957 | 958 | 959 | 960 | 961 | 962 | 963 | 964 | 965 | 966 | 967 | 968 | 969 | 970 | 971 | 972 | 973 | 974 | 975 | 976 | 977 | 978 | 979 | 980 | 981 | 982 | 983 | 984 | 985 | 986 | 987 | 988 | 989 | 990 | 991 | 992 | 993 | 994 | 995 | 996 | 997 | 998 | 999 | 1000 | 1001 | 1002 | 1003 | 1004 | 1005 | 1006 | 1007 | 1008 | 1009 | 1010 | 1011 | 1012 | 1013 | 1014 | 1015 | 1016 | 1017 | 1018 | 1019 | 1020 | 1021 | 1022 | 1023 | 1024 | 1025 | 1026 | 1027 | 1028 | 1029 | 1030 | 1031 | 1032 | 1033 | 1034 | 1035 | 1036 | 1037 | 1038 | 1039 | 1040 | 1041 | 1042 | 1043 | 1044 | 1045 | 1046 | 1047 | 1048 | 1049 | 1050 | 1051 | 1052 | 1053 | 1054 | 1055 | 1056 | 1057 | 1058 | 1059 | 1060 | 1061 | 1062 | 1063 | 1064 | 1065 | 1066 | 1067 | 1068 | 1069 | 1070 | 1071 | 1072 | 1073 | 1074 | 1075 | 1076 | 1077 | 1078 | 1079 | 1080 | 1081 | 1082 | 1083 | 1084 | 1085 | 1086 | 1087 | 1088 | 1089 | 1090 | 1091 | 1092 | 1093 | 1094 | 1095 | 1096 | 1097 | 1098 | 1099 | 1100 | 1101 | 1102 | 1103 | 1104 | 1105 | 1106 | 1107 | 1108 | 1109 | 1110 | 1111 | 1112 | 1113 | 1114 | 1115 | 1116 | 1117 | 1118 | 1119 | 1120 | 1121 | 1122 | 1123 | 1124 | 1125 | 1126 | 1127 | 1128 | 1129 | 1130 | 1131 | 1132 | 1133 | 1134 | 1135 | 1136 | 1137 | 1138 | 1139 | 1140 | 1141 | 1142 | 1143 | 1144 | 1145 | 1146 | 1147 | 1148 | 1149 | 1150 | 1151 | 1152 | 1153 | 1154 | 1155 | 1156 | 1157 | 1158 | 1159 | 1160 | 1161 | 1162 | 1163 | 1164 | 1165 | 1166 | 1167 | 1168 | 1169 | 1170 | 1171 | 1172 | 1173 | 1174 | 1175 | 1176 | 1177 | 1178 | 1179 | 1180 | 1181 | 1182 | 1183 | 1184 | 1185 | 1186 | 1187 | 1188 | 1189 | 1190 | 1191 | 1192 | 1193 | 1194 | 1195 | 1196 | 1197 | 1198 | 1199 | 1200 | 1201 | 1202 | 1203 | 1204 | 1205 | 1206 | 1207 | 1208 | 1209 | 1210 | 1211 | 1212 | 1213 | 1214 | 1215 | 1216 | 1217 | 1218 | 1219 | 1220 | 1221 | 1222 | 1223 | 1224 | 1225 | 1226 | 1227 | 1228 | 1229 | 1230 | 1231 | 1232 | 1233 | 1234 | 1235 | 1236 | 1237 | 1238 | 1239 | 1240 | 1241 | 1242 | 1243 | 1244 | 1245 | 1246 | 1247 | 1248 | 1249 | 1250 | 1251 | 1252 | 1253 | 1254 | 1255 | 1256 | 1257 | 1258 | 1259 | 1260 | 1261 | 1262 | 1263 | 1264 | 1265 | 1266 | 1267 | 1268 | 1269 | 1270 | 1271 | 1272 | 1273 | 1274 | 1275 | 1276 | 1277 | 1278 | 1279 | 1280 | 1281 | 1282 | 1283 | 1284 | 1285 | 1286 | 1287 | 1288 | 1289 | 1290 | 1291 | 1292 | 1293 | 1294 | 1295 | 1296 | 1297 | 1298 | 1299 | 1300 | 1301 | 1302 | 1303 | 1304 | 1305 | 1306 | 1307 | 1308 | 1309 | 1310 | 1311 | 1312 | 1313 | 1314 | 1315 | 1316 | 1317 | 1318 | 1319 | 1320 | 1321 | 1322 | 1323 | 1324 | 1325 | 1326 | 1327 | 1328 | 1329 | 1330 | 1331 | 1332 | 1333 | 1334 | 1335 | 1336 | 1337 | 1338 | 1339 | 1340 | 1341 | 1342 | 1343 | 1344 | 1345 | 1346 | 1347 | 1348 | 1349 | 1350 | 1351 | 1352 | 1353 | 1354 | 1355 | 1356 | 1357 | 1358 | 1359 | 1360 | 1361 | 1362 | 1363 | 1364 | 1365 | 1366 | 1367 | 1368 | 1369 | 1370 | 1371 | 1372 | 1373 | 1374 | 1375 | 1376 | 1377 | 1378 | 1379 | 1380 | 1381 | 1382 | 1383 | 1384 | 1385 | 1386 | 1387 | 1388 | 1389 | 1390 | 1391 | 1392 | 1393 | 1394 | 1395 | 1396 | 1397 | 1398 | 1399 | 1400 | 1401 | 1402 | 1403 | 1404 | 1405 | 1406 | 1407 | 1408 | 1409 | 1410 | 1411 | 1412 | 1413 | 1414 | 1415 | 1416 | 1417 | 1418 | 1419 | 1420 | 1421 | 1422 | 1423 | 1424 | 1425 | 1426 | 1427 | 1428 | 1429 | 1430 | 1431 | 1432 | 1433 | 1434 | 1435 | 1436 | 1437 | 1438 | 1439 | 1440 | 1441 | 1442 | 1443 | 1444 | 1445 | 1446 | 1447 | 1448 | 1449 | 1450 | 1451 | 1452 | 1453 | 1454 | 1455 | 1456 | 1457 | 1458 | 1459 | 1460 | 1461 | 1462 | 1463 | 1464 | 1465 | 1466 | 1467 | 1468 | 1469 | 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1899 | 1900 | 1901 | 1902 | 1903 | 1904 | 1905 | 1906 | 1907 | 1908 | 1909 | 1910 | 1911 | 1912 | 1913 | 1914 | 1915 | 1916 | 1917 | 1918 | 1919 | 1920 | 1921 | 1922 | 1923 | 1924 | 1925 | 1926 | 1927 | 1928 | 1929 | 1930 | 1931 | 1932 | 1933 | 1934 | 1935 | 1936 | 1937 | 1938 | 1939 | 1940 | 1941 | 1942 | 1943 | 1944 | 1945 | 1946 | 1947 | 1948 | 1949 | 1950 | 1951 | 1952 | 1953 | 1954 | 1955 | 1956 | 1957 | 1958 | 1959 | 1960 | 1961 | 1962 | 1963 | 1964 | 1965 | 1966 | 1967 | 1968 | 1969 | 1970 | 1971 | 1972 | 1973 | 1974 | 1975 | 1976 | 1977 | 1978 | 1979 | 1980 | 1981 | 1982 | 1983 | 1984 | 1985 | 1986 | 1987 | 1988 | 1989 | 1990 | 1991 | 1992 | 1993 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 | 2029 | 2030 | 2031 | 2032 | 2033 | 2034 | 2035 | 2036 | 2037 | 2038 | 2039 | 2040 | 2041 | 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2328 | 2329 | 2330 | 2331 | 2332 | 2333 | 2334 | 2335 | 2336 | 2337 | 2338 | 2339 | 2340 | 2341 | 2342 | 2343 | 2344 | 2345 | 2346 | 2347 | 2348 | 2349 | 2350 | 2351 | 2352 | 2353 | 2354 | 2355 | 2356 | 2357 | 2358 | 2359 | 2360 | 2361 | 2362 | 2363 | 2364 | 2365 | 2366 | 2367 | 2368 | 2369 | 2370 | 2371 | 2372 | 2373 | 2374 | 2375 | 2376 | 2377 | 2378 | 2379 | 2380 | 2381 | 2382 | 2383 | 2384 | 2385 | 2386 | 2387 | 2388 | 2389 | 2390 | 2391 | 2392 | 2393 | 2394 | 2395 | 2396 | 2397 | 2398 | 2399 | 2400 | 2401 | 2402 | 2403 | 2404 | 2405 | 2406 | 2407 | 2408 | 2409 | 2410 | 2411 | 2412 | 2413 | 2414 | 2415 | 2416 | 2417 | 2418 | 2419 | 2420 | 2421 | 2422 | 2423 | 2424 | 2425 | 2426 | 2427 | 2428 | 2429 | 2430 | 2431 | 2432 | 2433 | 2434 | 2435 | 2436 | 2437 | 2438 | 2439 | 2440 | 2441 | 2442 | 2443 | 2444 | 2445 | 2446 | 2447 | 2448 | 2449 | 2450 | 2451 | 2452 | 2453 | 2454 | 2455 | 2456 | 2457 | 2458 | 2459 | 2460 | 2461 | 2462 | 2463 | 2464 | 2465 | 2466 | 2467 | 2468 | 2469 | 2470 | 2471 | 2472 | 2473 | 2474 | 2475 | 2476 | 2477 | 2478 | 2479 | 2480 | 2481 | 2482 | 2483 | 2484 | 2485 | 2486 | 2487 | 2488 | 2489 | 2490 | 2491 | 2492 | 2493 | 2494 | 2495 | 2496 | 2497 | 2498 | 2499 | 2500 | 2501 | 2502 | 2503 | 2504 | 2505 | 2506 | 2507 | 2508 | 2509 | 2510 | 2511 | 2512 | 2513 | 2514 | 2515 | 2516 | 2517 | 2518 | 2519 | 2520 | 2521 | 2522 | 2523 | 2524 | 2525 | 2526 | 2527 | 2528 | 2529 | 2530 | 2531 | 2532 | 2533 | 2534 | 2535 | 2536 | 2537 | 2538 | 2539 | 2540 | 2541 | 2542 | 2543 | 2544 | 2545 | 2546 | 2547 | 2548 | 2549 | 2550 | 2551 | 2552 | 2553 | 2554 | 2555 | 2556 | 2557 | 2558 | 2559 | 2560 | 2561 | 2562 | 2563 | 2564 | 2565 | 2566 | 2567 | 2568 | 2569 | 2570 | 2571 | 2572 | 2573 | 2574 | 2575 | 2576 | 2577 | 2578 | 2579 | 2580 | 2581 | 2582 | 2583 | 2584 | 2585 | 2586 | 2587 | 2588 | 2589 | 2590 | 2591 | 2592 | 2593 | 2594 | 2595 | 2596 | 2597 | 2598 | 2599 | 2600 | 2601 | 2602 | 2603 | 2604 | 2605 | 2606 | 2607 | 2608 | 2609 | 2610 | 2611 | 2612 | 2613 | 2614 | 2615 | 2616 | 2617 | 2618 | 2619 | 2620 | 2621 | 2622 | 2623 | 2624 | 2625 | 2626 | 2627 | 2628 | 2629 | 2630 | 2631 | 2632 | 2633 | 2634 | 2635 | 2636 | 2637 | 2638 | 2639 | 2640 | 2641 | 2642 | 2643 | 2644 | 2645 | 2646 | 2647 | 2648 | 2649 | 2650 | 2651 | 2652 | 2653 | 2654 | 2655 | 2656 | 2657 | 2658 | 2659 | 2660 | 2661 | 2662 | 2663 | 2664 | 2665 | 2666 | 2667 | 2668 | 2669 | 2670 | 2671 | 2672 | 2673 | 2674 | 2675 | 2676 | 2677 | 2678 | 2679 | 2680 | 2681 | 2682 | 2683 | 2684 | 2685 | 2686 | 2687 | 2688 | 2689 | 2690 | 2691 | 2692 | 2693 | 2694 | 2695 | 2696 | 2697 | 2698 | 2699 | 2700 | 2701 | 2702 | 2703 | 2704 | 2705 | 2706 | 2707 | 2708 | 2709 | 2710 | 2711 | 2712 | 2713 | 2714 | 2715 | 2716 | 2717 | 2718 | 2719 | 2720 | 2721 | 2722 | 2723 | 2724 | 2725 | 2726 | 2727 | 2728 | 2729 | 2730 | 2731 | 2732 | 2733 | 2734 | 2735 | 2736 | 2737 | 2738 | 2739 | 2740 | 2741 | 2742 | 2743 | 2744 | 2745 | 2746 | 2747 | 2748 | 2749 | 2750 | 2751 | 2752 | 2753 | 2754 | 2755 | 2756 | 2757 | 2758 | 2759 | 2760 | 2761 | 2762 | 2763 | 2764 | 2765 | 2766 | 2767 | 2768 | 2769 | 2770 | 2771 | 2772 | 2773 | 2774 | 2775 | 2776 | 2777 | 2778 | 2779 | 2780 | 2781 | 2782 | 2783 | 2784 | 2785 | 2786 | 2787 | 2788 | 2789 | 2790 | 2791 | 2792 | 2793 | 2794 | 2795 | 2796 | 2797 | 2798 | 2799 | 2800 | 2801 | 2802 | 2803 | 2804 | 2805 | 2806 | 2807 | 2808 | 2809 | 2810 | 2811 | 2812 | 2813 | 2814 | 2815 | 2816 | 2817 | 2818 | 2819 | 2820 | 2821 | 2822 | 2823 | 2824 | 2825 | 2826 | 2827 | 2828 | 2829 | 2830 | 2831 | 2832 | 2833 | 2834 | 2835 | 2836 | 2837 | 2838 | 2839 | 2840 | 2841 | 2842 | 2843 | 2844 | 2845 | 2846 | 2847 | 2848 | 2849 | 2850 | 2851 | 2852 | 2853 | 2854 | 2855 | 2856 | 2857 | 2858 | 2859 | 2860 | 2861 | 2862 | 2863 | 2864 | 2865 | 2866 | 2867 | 2868 | 2869 | 2870 | 2871 | 2872 | 2873 | 2874 | 2875 | 2876 | 2877 | 2878 | 2879 | 2880 | 2881 | 2882 | 2883 | 2884 | 2885 | 2886 | 2887 | 2888 | 2889 | 2890 | 2891 | 2892 | 2893 | 2894 | 2895 | 2896 | 2897 | 2898 | 2899 | 2900 | 2901 | 2902 | 2903 | 2904 | 2905 | 2906 | 2907 | 2908 | 2909 | 2910 | 2911 | 2912 | 2913 | 2914 | 2915 | 2916 | 2917 | 2918 | 2919 | 2920 | 2921 | 2922 | 2923 | 2924 | 2925 | 2926 | 2927 | 2928 | 2929 | 2930 | 2931 | 2932 | 2933 | 2934 | 2935 | 2936 | 2937 | 2938 | 2939 | 2940 | 2941 | 2942 | 2943 | 2944 | 2945 | 2946 | 2947 | 2948 | 2949 | 2950 | 2951 | 2952 | 2953 | 2954 | 2955 | 2956 | 2957 | 2958 | 2959 | 2960 | 2961 | 2962 | 2963 | 2964 | 2965 | 2966 | 2967 | 2968 | 2969 | 2970 | 2971 | 2972 | 2973 | 2974 | 2975 | 2976 | 2977 | 2978 | 2979 | 2980 | 2981 | 2982 | 2983 | 2984 | 2985 | 2986 | 2987 | 2988 | 2989 | 2990 | 2991 | 2992 | 2993 | 2994 | 2995 | 2996 | 2997 | 2998 | 2999 | 3000 | 3001 | 3002 | 3003 | 3004 | 3005 | 3006 | 3007 | 3008 | 3009 | 3010 | 3011 | 3012 | 3013 | 3014 | 3015 | 3016 | 3017 | 3018 | 3019 | 3020 | 3021 | 3022 | 3023 | 3024 | 3025 | 3026 | 3027 | 3028 | 3029 | 3030 | 3031 | 3032 | 3033 | 3034 | 3035 | 3036 | 3037 | 3038 | 3039 | 3040 | 3041 | 3042 | 3043 | 3044 | 3045 | 3046 | 3047 | 3048 | 3049 | 3050 | 3051 | 3052 | 3053 | 3054 | 3055 | 3056 | 3057 | 3058 | 3059 | 3060 | 3061 | 3062 | 3063 | 3064 | 3065 | 3066 | 3067 | 3068 | 3069 | 3070 | 3071 | 3072 | 3073 | 3074 | 3075 | 3076 | 3077 | 3078 | 3079 | 3080 | 3081 | 3082 | 3083 | 3084 | 3085 | 3086 | 3087 | 3088 | 3089 | 3090 | 3091 | 3092 | 3093 | 3094 | 3095 | 3096 | 3097 | 3098 | 3099 | 3100 | 3101 | 3102 | 3103 | 3104 | 3105 | 3106 | 3107 | 3108 | 3109 | 3110 | 3111 | 3112 | 3113 | 3114 | 3115 | 3116 | 3117 | 3118 | 3119 | 3120 | 3121 | 3122 | 3123 | 3124 | 3125 | 3126 | 3127 | 3128 | 3129 | 3130 | 3131 | 3132 | 3133 | 3134 | 3135 | 3136 | 3137 | 3138 | 3139 | 3140 | 3141 | 3142 | 3143 | 3144 | 3145 | 3146 | 3147 | 3148 | 3149 | 3150 | 3151 | 3152 | 3153 | 3154 | 3155 | 3156 | 3157 | 3158 | 3159 | 3160 | 3161 | 3162 | 3163 | 3164 | 3165 | 3166 | 3167 | 3168 | 3169 | 3170 | 3171 | 3172 | 3173 | 3174 | 3175 | 3176 | 3177 | 3178 | 3179 | 3180 | 3181 | 3182 | 3183 | 3184 | 3185 | 3186 | 3187 | 3188 | 3189 | 3190 | 3191 | 3192 | 3193 | 3194 | 3195 | 3196 | 3197 | 3198 | 3199 | 3200 | 3201 | 3202 | 3203 | 3204 | 3205 | 3206 | 3207 | 3208 | 3209 | 3210 | 3211 | 3212 | 3213 | 3214 | 3215 | 3216 | 3217 | 3218 | 3219 | 3220 | 3221 | 3222 | 3223 | 3224 | 3225 | 3226 | 3227 | 3228 | 3229 | 3230 | 3231 | 3232 | 3233 | 3234 | 3235 | 3236 | 3237 | 3238 | 3239 | 3240 | 3241 | 3242 | 3243 | 3244 | 3245 | 3246 | 3247 | 3248 | 3249 | 3250 | 3251 | 3252 | 3253 | 3254 | 3255 | 3256 | 3257 | 3258 | 3259 | 3260 | 3261 | 3262 | 3263 | 3264 | 3265 | 3266 | 3267 | 3268 | 3269 | 3270 | 3271 | 3272 | 3273 | 3274 | 3275 | 3276 | 3277 | 3278 | 3279 | 3280 | 3281 | 3282 | 3283 | 3284 | 3285 | 3286 | 3287 | 3288 | 3289 | 3290 | 3291 | 3292 | 3293 | 3294 | 3295 | 3296 | 3297 | 3298 | 3299 | 3300 | 3301 | 3302 | 3303 | 3304 | 3305 | 3306 | 3307 | 3308 | 3309 | 3310 | 3311 | 3312 | 3313 | 3314 | 3315 | 3316 | 3317 | 3318 | 3319 | 3320 | 3321 | 3322 | 3323 | 3324 | 3325 | 3326 | 3327 | 3328 | 3329 | 3330 | 3331 | 3332 | 3333 | 3334 | 3335 | 3336 | 3337 | 3338 | 3339 | 3340 | 3341 | 3342 | 3343 | 3344 | 3345 | 3346 | 3347 | 3348 | 3349 | 3350 | 3351 | 3352 | 3353 | 3354 | 3355 | 3356 | 3357 | 3358 | 3359 | 3360 | 3361 | 3362 | 3363 | 3364 | 3365 | 3366 | 3367 | 3368 | 3369 | 3370 | 3371 | 3372 | 3373 | 3374 | 3375 | 3376 | 3377 | 3378 | 3379 | 3380 | 3381 | 3382 | 3383 | 3384 | 3385 | 3386 | 3387 | 3388 | 3389 | 3390 | 3391 | 3392 | 3393 | 3394 | 3395 | 3396 | 3397 | 3398 | 3399 | 3400 |
Cases of Viable Candidates Receiving 0 Votes in Final Tally
viable_to_zero_voteszero_votes_to_nonzero_votesviable_to_unviableunviable_to_viableprecinctis_completecandidatevotes_firsttotal_firstpercent_firstcandidate_not_viable_firstvotes_finaltotal_finalpercent_finalcandidate_viable_finalchange_from_firstmickey_mouse_shitprecincts_with_mms
TRUEFALSETRUEFALSE1 BA-LS-1593688TRUEwarrene5280.1785714FALSE0280FALSE-5TRUE1
TRUEFALSETRUEFALSE12-946730TRUEklobuchara5200.2500000FALSE0200FALSE-5TRUE1
TRUEFALSETRUEFALSE13-947157TRUEbuttigiegp8370.2162162FALSE0290FALSE-8TRUE1
TRUEFALSETRUEFALSE2-947146TRUEsandersb7420.1666667FALSE0420FALSE-7TRUE1
TRUEFALSETRUEFALSE2-947842TRUEklobuchara150.2000000FALSE050FALSE-1TRUE1
TRUEFALSETRUEFALSE2-947842TRUEwarrene150.2000000FALSE050FALSE-1TRUE1
TRUEFALSETRUEFALSE24-947957TRUEbidenj191120.1696429FALSE0930FALSE-19TRUE1
TRUEFALSETRUEFALSE3 GC-947480TRUEwarrene5270.1851852FALSE0270FALSE-5TRUE1
TRUEFALSETRUEFALSE30-947964TRUEbidenj16870.1839080FALSE0830FALSE-16TRUE1
TRUEFALSETRUEFALSE31-947965TRUEbidenj181060.1698113FALSE0880FALSE-18TRUE1
TRUEFALSETRUEFALSE34-947968TRUEklobuchara7430.1627907FALSE0430FALSE-7TRUE1
TRUEFALSETRUEFALSE35-947969TRUEsandersb7370.1891892FALSE0370FALSE-7TRUE1
TRUEFALSETRUEFALSE36-948169TRUEbuttigiegp4250.1600000FALSE0180FALSE-4TRUE1
TRUEFALSETRUEFALSE36-948169TRUEwarrene6250.2400000FALSE0180FALSE-6TRUE1
TRUEFALSETRUEFALSE37-946977TRUEwarrene5330.1515152FALSE0330FALSE-5TRUE1
TRUEFALSETRUEFALSE41-947976TRUEbuttigiegp17870.1954023FALSE0860FALSE-17TRUE1
TRUEFALSETRUEFALSE42-947977TRUEbuttigiegp290.2222222FALSE090FALSE-2TRUE1
TRUEFALSETRUEFALSE42-947977TRUEsandersb290.2222222FALSE090FALSE-2TRUE1
TRUEFALSETRUEFALSE42-948175TRUEsandersb290.2222222FALSE090FALSE-2TRUE1
TRUEFALSETRUEFALSE43-947978TRUEbidenj15900.1666667FALSE0630FALSE-15TRUE1
TRUEFALSETRUEFALSE43-947978TRUEwarrene23900.2555556FALSE0630FALSE-23TRUE1
TRUEFALSETRUEFALSE5-947845TRUEbidenj2110.1818182FALSE0110FALSE-2TRUE1
TRUEFALSETRUEFALSE5-947845TRUEklobuchara2110.1818182FALSE0110FALSE-2TRUE1
TRUEFALSETRUEFALSE6 LB-MI-1593700TRUEbidenj4220.1818182FALSE0220FALSE-4TRUE1
TRUEFALSETRUEFALSE7 MA-WA-1593701TRUEwarrene3200.1500000FALSE0200FALSE-3TRUE1
TRUEFALSETRUEFALSEAD-947268TRUEklobuchara3140.2142857FALSE0140FALSE-3TRUE1
TRUEFALSETRUEFALSEAD-947268TRUEsandersb3140.2142857FALSE0140FALSE-3TRUE1
TRUEFALSETRUEFALSEAD-947443TRUEbuttigiegp3110.2727273FALSE080FALSE-3TRUE1
TRUEFALSETRUEFALSEAD-947443TRUEsandersb2110.1818182FALSE080FALSE-2TRUE1
TRUEFALSETRUEFALSEADS-1593466TRUEbidenj15750.2000000FALSE0750FALSE-15TRUE1
TRUEFALSETRUEFALSEAL2-1593468TRUEklobuchara291900.1526316FALSE01750FALSE-29TRUE1
TRUEFALSETRUEFALSEBG-947194TRUEbuttigiegp351670.2095808FALSE0680FALSE-35TRUE1
TRUEFALSETRUEFALSEBG-947194TRUEwarrene391670.2335329FALSE0680FALSE-39TRUE1
TRUEFALSETRUEFALSEBN-946737TRUEklobuchara3120.2500000FALSE0120FALSE-3TRUE1
TRUEFALSETRUEFALSEBO-947088TRUEbidenj3190.1578947FALSE0190FALSE-3TRUE1
TRUEFALSETRUEFALSEBO-947444TRUEklobuchara4190.2105263FALSE0190FALSE-4TRUE1
TRUEFALSETRUEFALSECARSON-947805TRUEbidenj3160.1875000FALSE0160FALSE-3TRUE1
TRUEFALSETRUEFALSECB 12-947794TRUEbloombergm241190.2016807FALSE01190FALSE-24TRUE1
TRUEFALSETRUEFALSECE-947196TRUEwarrene12650.1846154FALSE0650FALSE-12TRUE1
TRUEFALSETRUEFALSECEDAR-948229TRUEbidenj150.2000000FALSE050FALSE-1TRUE1
TRUEFALSETRUEFALSECEDAR-948229TRUEwarrene150.2000000FALSE050FALSE-1TRUE1
TRUEFALSETRUEFALSECENT-946829TRUEwarrene3140.2142857FALSE0140FALSE-3TRUE1
TRUEFALSETRUEFALSECL-948284TRUEwarrene3200.1500000FALSE0170FALSE-3TRUE1
TRUEFALSETRUEFALSECLAY 1-947721TRUEsandersb12720.1666667FALSE0640FALSE-12TRUE1
TRUEFALSETRUEFALSECLAY 1-947721TRUEwarrene13720.1805556FALSE0640FALSE-13TRUE1
TRUEFALSETRUEFALSECM WDM-1593777TRUEklobuchara9360.2500000FALSE0270FALSE-9TRUE1
TRUEFALSETRUEFALSECROCK 2-1593721TRUEbidenj201320.1515152FALSE01110FALSE-20TRUE1
TRUEFALSETRUEFALSECRONNOC-1593767TRUEbidenj2130.1538462FALSE0130FALSE-2TRUE1
TRUEFALSETRUEFALSECRONNOC-1593767TRUEklobuchara2130.1538462FALSE0130FALSE-2TRUE1
TRUEFALSETRUEFALSECW-946561TRUEsandersb2130.1538462FALSE0130FALSE-2TRUE1
TRUEFALSETRUEFALSECW-946561TRUEwarrene3130.2307692FALSE0130FALSE-3TRUE1
TRUEFALSETRUEFALSEDA-947134TRUEbuttigiegp4240.1666667FALSE0240FALSE-4TRUE1
TRUEFALSETRUEFALSEDEL 2-947728TRUEbidenj2130.1538462FALSE0130FALSE-2TRUE1
TRUEFALSETRUEFALSEDM-947185TRUEklobuchara4170.2352941FALSE0170FALSE-4TRUE1
TRUEFALSETRUEFALSEDM 048-947649TRUEbuttigiegp6380.1578947FALSE0300FALSE-6TRUE1
TRUEFALSETRUEFALSEDM 074-947675TRUEwarrene12750.1600000FALSE0750FALSE-12TRUE1
TRUEFALSETRUEFALSEDV-947003TRUEklobuchara3140.2142857FALSE0140FALSE-3TRUE1
TRUEFALSETRUEFALSEED-947446TRUEbidenj2110.1818182FALSE0110FALSE-2TRUE1
TRUEFALSETRUEFALSEED-947446TRUEsandersb2110.1818182FALSE0110FALSE-2TRUE1
TRUEFALSETRUEFALSEELMYVO-948246TRUEbuttigiegp5310.1612903FALSE0310FALSE-5TRUE1
TRUEFALSETRUEFALSEELMYVO-948246TRUEwarrene5310.1612903FALSE0310FALSE-5TRUE1
TRUEFALSETRUEFALSEEM-947488TRUEsandersb4150.2666667FALSE0120FALSE-4TRUE1
TRUEFALSETRUEFALSEF1-947526TRUEbuttigiegp7450.1555556FALSE0370FALSE-7TRUE1
TRUEFALSETRUEFALSEFC 4-948317TRUEsandersb7430.1627907FALSE0430FALSE-7TRUE1
TRUEFALSETRUEFALSEG000-1593427TRUEbuttigiegp3120.2500000FALSE010FALSE-3TRUE1
TRUEFALSETRUEFALSEGFHD-946806TRUEbuttigiegp3160.1875000FALSE0140FALSE-3TRUE1
TRUEFALSENAFALSEGR-947204TRUEbidenj10540.1851852FALSE00NaNNA-10TRUE1
TRUEFALSENAFALSEGR-947204TRUEbuttigiegp11540.2037037FALSE00NaNNA-11TRUE1
TRUEFALSENAFALSEGR-947204TRUEklobuchara13540.2407407FALSE00NaNNA-13TRUE1
TRUEFALSENAFALSEGR-947204TRUEsandersb9540.1666667FALSE00NaNNA-9TRUE1
TRUEFALSETRUEFALSEGRAVITY-1593773TRUEbidenj150.2000000FALSE050FALSE-1TRUE1
TRUEFALSETRUEFALSEGREENFI-948232TRUEbidenj290.2222222FALSE090FALSE-2TRUE1
TRUEFALSETRUEFALSEGREENFI-948232TRUEwarrene290.2222222FALSE090FALSE-2TRUE1
TRUEFALSETRUEFALSEGT-947596TRUEklobuchara2100.2000000FALSE0100FALSE-2TRUE1
TRUEFALSETRUEFALSEHA-947560TRUEbidenj150.2000000FALSE050FALSE-1TRUE1
TRUEFALSETRUEFALSEHA-947560TRUEsandersb150.2000000FALSE050FALSE-1TRUE1
TRUEFALSETRUEFALSEHD-947205TRUEbuttigiegp12550.2181818FALSE0550FALSE-12TRUE1
TRUEFALSETRUEFALSEHD-947205TRUEsandersb10550.1818182FALSE0550FALSE-10TRUE1
TRUEFALSETRUEFALSEHJ-946945TRUEbidenj9370.2432432FALSE0370FALSE-9TRUE1
TRUEFALSETRUEFALSEHS-1593580TRUEwarrene12680.1764706FALSE0680FALSE-12TRUE1
TRUEFALSETRUEFALSEIG2-947131TRUEklobuchara3120.2500000FALSE0120FALSE-3TRUE1
TRUEFALSETRUEFALSEIN-947455TRUEbidenj4220.1818182FALSE0220FALSE-4TRUE1
TRUEFALSETRUEFALSEIN2-948050TRUEpatrickd411990.2060302FALSE01900FALSE-41TRUE1
TRUEFALSETRUEFALSEIN2-948050TRUEsteyert501990.2512563FALSE01900FALSE-50TRUE1
TRUEFALSETRUEFALSEJF-947008TRUEsandersb4260.1538462FALSE0260FALSE-4TRUE1
TRUEFALSETRUEFALSELB-947233TRUEwarrene10630.1587302FALSE0610FALSE-10TRUE1
TRUEFALSETRUEFALSELB-947461TRUEwarrene3160.1875000FALSE0150FALSE-3TRUE1
TRUEFALSETRUEFALSELB-947903TRUEbuttigiegp6170.3529412FALSE0150FALSE-6TRUE1
TRUEFALSETRUEFALSELB-947903TRUEklobuchara3170.1764706FALSE0150FALSE-3TRUE1
TRUEFALSETRUEFALSELCN-1593443TRUEbidenj6290.2068966FALSE0290FALSE-6TRUE1
TRUEFALSETRUEFALSELCN-1593443TRUEsandersb5290.1724138FALSE0290FALSE-5TRUE1
TRUEFALSETRUEFALSELGGG-946808TRUEbuttigiegp2110.1818182FALSE0110FALSE-2TRUE1
TRUEFALSETRUEFALSELM-946821TRUEwarrene4160.2500000FALSE0120FALSE-4TRUE1
TRUEFALSETRUEFALSELS-947093TRUEbuttigiegp270.2857143FALSE060FALSE-2TRUE1
TRUEFALSETRUEFALSELW-946738TRUEbuttigiegp5270.1851852FALSE0270FALSE-5TRUE1
TRUEFALSETRUEFALSEMADISON-1593727TRUEbidenj3130.2307692FALSE0130FALSE-3TRUE1
TRUEFALSETRUEFALSEMADISON-1593727TRUEwarrene2130.1538462FALSE0130FALSE-2TRUE1
TRUEFALSETRUEFALSEMC-1593758TRUEsandersb9420.2142857FALSE0420FALSE-9TRUE1
TRUEFALSETRUEFALSEMC-1593758TRUEwarrene11420.2619048FALSE0420FALSE-11TRUE1
TRUEFALSETRUEFALSEMC-947557TRUEbidenj150.2000000FALSE050FALSE-1TRUE1
TRUEFALSETRUEFALSEMC-947557TRUEklobuchara150.2000000FALSE050FALSE-1TRUE1
TRUEFALSETRUEFALSEMCCLELL-1833332TRUEwarrene4230.1739130FALSE0230FALSE-4TRUE1
TRUEFALSETRUEFALSEMV-946780TRUEsandersb3150.2000000FALSE0150FALSE-3TRUE1
TRUEFALSETRUEFALSENE-948115TRUEbidenj160.1666667FALSE060FALSE-1TRUE1
TRUEFALSETRUEFALSENE-948115TRUEklobuchara160.1666667FALSE060FALSE-1TRUE1
TRUEFALSETRUEFALSENENP-948224TRUEklobuchara5320.1562500FALSE0220FALSE-5TRUE1
TRUEFALSETRUEFALSENENP-948224TRUEyanga7320.2187500FALSE0220FALSE-7TRUE1
TRUEFALSETRUEFALSENL-EV-1593573TRUEsandersb130.3333333FALSE020FALSE-1TRUE1
TRUEFALSETRUEFALSEOGCA-1593455TRUEbuttigiegp6310.1935484FALSE0310FALSE-6TRUE1
TRUEFALSETRUEFALSEOR-947013TRUEbidenj3150.2000000FALSE0150FALSE-3TRUE1
TRUEFALSETRUEFALSEOR-947013TRUEwarrene3150.2000000FALSE0150FALSE-3TRUE1
TRUEFALSETRUEFALSEOR-947541TRUEwarrene3140.2142857FALSE0100FALSE-3TRUE1
TRUEFALSETRUEFALSEORGM-1593456TRUEwarrene6280.2142857FALSE0280FALSE-6TRUE1
TRUEFALSETRUEFALSEOT ML-1593785TRUEwarrene9550.1636364FALSE0550FALSE-9TRUE1
TRUEFALSETRUEFALSEOX-947240TRUEbidenj191120.1696429FALSE0740FALSE-19TRUE1
TRUEFALSETRUEFALSEOX-947240TRUEwarrene191120.1696429FALSE0740FALSE-19TRUE1
TRUEFALSETRUEFALSEOX-947263TRUEbuttigiegp3170.1764706FALSE0170FALSE-3TRUE1
TRUEFALSETRUEFALSEP2-947426TRUEsandersb2110.1818182FALSE0110FALSE-2TRUE1
TRUEFALSETRUEFALSEP3-947427TRUEbuttigiegp3170.1764706FALSE0170FALSE-3TRUE1
TRUEFALSETRUEFALSEP4-947046TRUEbuttigiegp4230.1739130FALSE0190FALSE-4TRUE1
TRUEFALSETRUEFALSEP5-947429TRUEwarrene6230.2608696FALSE0230FALSE-6TRUE1
TRUEFALSETRUEFALSEPCT 04-1593517TRUEbidenj2130.1538462FALSE0110FALSE-2TRUE1
TRUEFALSETRUEFALSEPCT 04-1593517TRUEbuttigiegp2130.1538462FALSE0110FALSE-2TRUE1
TRUEFALSETRUEFALSEPCT 04-1593517TRUEwarrene2130.1538462FALSE0110FALSE-2TRUE1
TRUEFALSETRUEFALSEPCT 14-1593513TRUEklobuchara5330.1515152FALSE0330FALSE-5TRUE1
TRUEFALSETRUEFALSEPI-947542TRUEsandersb7230.3043478FALSE0230FALSE-7TRUE1
TRUEFALSETRUEFALSEPOD-1593445TRUEsandersb5310.1612903FALSE0290FALSE-5TRUE1
TRUEFALSETRUEFALSEPR-947906TRUEwarrene13700.1857143FALSE0700FALSE-13TRUE1
TRUEFALSETRUEFALSEPV-947905TRUEbidenj14650.2153846FALSE0470FALSE-14TRUE1
TRUEFALSETRUEFALSEPW-946947TRUEbuttigiegp3200.1500000FALSE0200FALSE-3TRUE1
TRUEFALSETRUEFALSERJO-1825047TRUEklobuchara4170.2352941FALSE0120FALSE-4TRUE1
TRUEFALSETRUEFALSESB-948206TRUEbuttigiegp2130.1538462FALSE0120FALSE-2TRUE1
TRUEFALSETRUEFALSESB-948206TRUEyanga2130.1538462FALSE0120FALSE-2TRUE1
TRUEFALSETRUEFALSESC-947015TRUEbidenj250.4000000FALSE050FALSE-2TRUE1
TRUEFALSETRUEFALSESG1-947276TRUEbuttigiegp3200.1500000FALSE0200FALSE-3TRUE1
TRUEFALSETRUEFALSESG1-947276TRUEsandersb4200.2000000FALSE0200FALSE-4TRUE1
TRUEFALSETRUEFALSESG2-947277TRUEbidenj8260.3076923FALSE0200FALSE-8TRUE1
TRUEFALSETRUEFALSESG3-947278TRUEyanga2130.1538462FALSE0130FALSE-2TRUE1
TRUEFALSETRUEFALSESG4-947279TRUEbidenj4230.1739130FALSE0230FALSE-4TRUE1
TRUEFALSETRUEFALSESHLN-1593457TRUEsandersb4210.1904762FALSE0210FALSE-4TRUE1
TRUEFALSETRUEFALSESHLN-1593457TRUEwarrene5210.2380952FALSE0210FALSE-5TRUE1
TRUEFALSETRUEFALSESRK-1593465TRUEsandersb3200.1500000FALSE0200FALSE-3TRUE1
TRUEFALSETRUEFALSETBRO-1593664TRUEbidenj18900.2000000FALSE0710FALSE-18TRUE1
TRUEFALSETRUEFALSETCLI-1593666TRUEklobuchara10460.2173913FALSE0460FALSE-10TRUE1
TRUEFALSETRUEFALSETCOL-1593667TRUEbidenj9460.1956522FALSE0460FALSE-9TRUE1
TRUEFALSETRUEFALSETCOL-1593667TRUEwarrene7460.1521739FALSE0460FALSE-7TRUE1
TRUEFALSETRUEFALSETFAY-1593669TRUEsandersb11540.2037037FALSE0430FALSE-11TRUE1
TRUEFALSETRUEFALSETLIN-1593673TRUEbuttigiegp7410.1707317FALSE0340FALSE-7TRUE1
TRUEFALSETRUEFALSETLIN-1593673TRUEklobuchara7410.1707317FALSE0340FALSE-7TRUE1
TRUEFALSETRUEFALSETMAR-1593675TRUEbuttigiegp15960.1562500FALSE0680FALSE-15TRUE1
TRUEFALSETRUEFALSETMAR-1593675TRUEsandersb18960.1875000FALSE0680FALSE-18TRUE1
TRUEFALSETRUEFALSETMAR-1593675TRUEwarrene15960.1562500FALSE0680FALSE-15TRUE1
TRUEFALSETRUEFALSETMON1-1593676TRUEwarrene16960.1666667FALSE0740FALSE-16TRUE1
TRUEFALSETRUEFALSEUNION-1593507TRUEbidenj5250.2000000FALSE0180FALSE-5TRUE1
TRUEFALSETRUEFALSEUNION-1593507TRUEwarrene5250.2000000FALSE0180FALSE-5TRUE1
TRUEFALSETRUEFALSEWB-946804TRUEbidenj3170.1764706FALSE0160FALSE-3TRUE1
TRUEFALSETRUEFALSEWB 1-947762TRUEbidenj11420.2619048FALSE0300FALSE-11TRUE1
TRUEFALSETRUEFALSEWC-947281TRUEbuttigiegp2120.1666667FALSE0100FALSE-2TRUE1
TRUEFALSETRUEFALSEWC-948076TRUEsandersb6340.1764706FALSE0340FALSE-6TRUE1
TRUEFALSETRUEFALSEWDM-313-947776TRUEsandersb231480.1554054FALSE01330FALSE-23TRUE1
TRUEFALSETRUEFALSEWE2-947020TRUEbidenj3190.1578947FALSE0150FALSE-3TRUE1
TRUEFALSETRUEFALSEWE2-947020TRUEklobuchara4190.2105263FALSE0150FALSE-4TRUE1
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3401 | 3402 | Correlations Between First Round Unviable Candidates and Vote Increases for Viable Candidates in Final Round 3403 | ------------------------------------------------------------------------------------------------------------ 3404 | 3405 | As a bonus, here’s the original thing I was looking into here, trying to 3406 | get a read on whose voters went where after their candidate was 3407 | unviable. The weird 100% positive correlation between Deval Patrick 3408 | being unviable and Deval Patrick gaining voters was what got me digging. 3409 | 3410 | ### Join change between first and final round with viability, create correlation matrix, remove 1:1 correlations 3411 | 3412 | change_between_rounds %>% 3413 | inner_join(viability, by = "precinct") %>% 3414 | select(-precinct) %>% cor() %>% 3415 | as_tibble(rownames = "corr") %>% 3416 | filter(str_detect(corr, "change")) %>% 3417 | select(contains("viable"), corr) %>% 3418 | column_to_rownames(var = "corr") %>% 3419 | as.matrix() %>% ggcorrplot::ggcorrplot(lab = TRUE, insig = "blank", colors = c("red3", "white", "green3")) + 3420 | ggtitle("Correlations Between Non-Viable Candidates and Second Round Gains") + 3421 | theme_powerbi() 3422 | 3423 | ![](README_files/figure-markdown_strict/unnamed-chunk-3-1.png) 3424 | --------------------------------------------------------------------------------