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  • 21 Aug, 2019

  • By, Wikipedia

File:BassetlawGraph.svg

The Background colour indicates the party of the sitting MP at any given year.

Graph drawn with R

Parties:

Data:

Year Conservative Labour Liberal Other
1885.96 51.7 NA 48.3 NA
1886.57 NA NA NA NA
1890 54.5 NA 45.5 NA
1892.57 52.4 NA 47.6 NA
1895.6 57.4 NA 42.6 NA
1900.81 NA NA NA NA
1906.61 47.4 NA 52.6 NA
1910.11 51.6 NA 48.4 NA
1910.97 51 NA 49 NA
1918.95 NA NA NA NA
1922.87 55.2 44.8 NA NA
1923.93 42.3 28.3 29.4 NA
1924.83 46.3 41 12.7 NA
1929.41 41.3 58.7 NA NA
1931.82 NA 33.36 NA 66.64
1935.87 NA 51.33 NA 48.67
1945.51 37.21 62.79 NA NA
1950.148 32.16 57.64 10.2 NA
1951.82 39.29 60.71 NA NA
1955.4 41.89 58.11 NA NA
1959.77 41.97 58.03 NA NA
1964.79 40.97 59.03 NA NA
1966.25 38.37 61.63 NA NA
1968 47.92 49.64 NA 2.44
1970.46 39.21 54.87 5.92 NA
1974.16 40.01 59.99 NA NA
1974.78 30.9 53.69 14.65 0.76
1979.34 37.97 50.23 11.8 NA
1983.44 37.74 45.6 NA 16.66
1987.44 37.47 48.1 NA 14.43
1992.27 35 53.4 11.6 NA
1997.33 24.7 61.1 10.3 3.8
2001.43 30.2 55.3 12.7 1.8
2005.34 29.8 56.6 13.6 NA
2010.35 33.9 50.5 11.2 4.4
2015.35 30.7 48.6 2.7 18
2017.44 43.3 52.6 2.2 1.9

Code:

The graph was produced with R. The following code will reproduce the graph using the data on this page.

  library(tidyverse)
  library(htmltab)
  library(lubridate)
  
  election_graph <- function(pageURL) {
    election <- htmltab(pageURL,
                        which = 2,
                        rm_nodata_cols = F)
    election <- as.tibble(lapply(election, function(x) {gsub("unopp", "100", x)}))
    
    tidy_election <- gather(election, "Party", "Votes", 2:length(election))
    tidy_election$Year <- as.numeric(tidy_election$Year)
    tidy_election$Party <- factor(tidy_election$Party, levels = c("Conservative", "Labour", "Liberal", "Green", "SNP", "UKIP", "Other"))
    tidy_election$Votes <- as.numeric(tidy_election$Votes)
    
    election_victor <- tidy_election %>% filter(is.na(Votes) == FALSE) %>% group_by(Year) %>% summarize(Party = Party[which(Votes == max(Votes))])
    election_victor$Year <- as.numeric(election_victor$Year)
    election_victor$start_year <- election_victor$Year
    election_victor$end_year <- c(election_victor$Year[-1], ceiling(election_victor$Year[length(election_victor$Year)] + 1))
    election_victor[1,3] <- floor(election_victor[1,3] - 1)
    
    tidy_election$Votes <- as.numeric(sapply(tidy_election$Votes, function(x) {gsub(100, NA, x)}))
    
    party_colours <- c("#0087DC", "#DC241F", "#FAA61A", "#008066", "#FFF95D", "#EFE600", "dark grey")
    names(party_colours) <- c("Conservative", "Labour", "Liberal", "Green", "SNP", "UKIP", "Other")
    
    ggplot(tidy_election) +
      geom_rect(data = election_victor,
                aes(xmin = start_year,xmax = end_year, ymin = -Inf, ymax = Inf, fill = Party),
                alpha = 0.35,
                show.legend = F) +
      geom_line(aes(x = Year, y = Votes, colour = Party), size = 0.703) +
      geom_point(aes(x = Year, y = Votes, colour = Party)) +
      geom_hline(yintercept = 100, color="black", size = 1.5) +
      geom_vline(xintercept = 2019, color="black", size = 1.5) +
      scale_colour_manual(values = party_colours) +
      scale_fill_manual(values = party_colours) +
      theme(text = element_text(color="black", size = 14),
            axis.text = element_text(color="black", size = 11),
            axis.line.x = element_line(color="black", size = 0.703),
            axis.ticks.x = element_line(color="black", size = 0.703),
            axis.line.y = element_line(color="black", size = 0.703),
            axis.ticks.y = element_line(color="black", size = 0.703),
            axis.ticks.length = unit(5, "points"),
            panel.grid.major = element_line(color="blue", size = 0.5, linetype = 3),
            panel.grid.minor = element_blank(),
            panel.background = element_blank(),
            legend.position = c(.98, .97),
            legend.direction = "horizontal",
            legend.text = element_text(color="black", size = 11),
            legend.title=element_blank(),
            legend.justification = c("right", "top"),
            legend.box.just = "right",
            legend.key = element_blank(),
            legend.background = element_rect(fill = "white", colour = "black"),
            legend.margin = margin(0, 4, 4, 4)) +
      scale_x_continuous(expand = c(0, 0), limits = c(election_victor[[1,3]], election_victor$end_year[length(election_victor$end_year)]), breaks = seq(1890, 2010, 10)) +
      scale_y_continuous(expand = c(0, 0), limits = c(0, 100), breaks = seq(0, 100, 20)) +
      labs(x = "Year", y = "Percentage Vote")
  }
  
  election_graph("https://commons.wikimedia.org/key/File:BassetlawGraph.svg")
  
  ggsave("BassetlawGraph.svg", device = "svg", units = "cm", width = 20, height = 11, dpi = 120)

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
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You are free:
  • to share – to copy, distribute and transmit the work
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Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

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