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  • 21 Aug, 2019

  • By, Wikipedia

File:LoughboroughGraph.svg

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

The election held in 1922 does not appear on this graph. Only one candidate (National Liberal) stood at this election and so no votes were cast, the candidate being elected unopposed. A gap in the plot indicates the missing election.

Graph drawn with R.

Parties:

Data used:

Year Conservative Labour Liberal UKIP Other
1885.96 43.8 56.2
1886.57 50.8 49.2
1892.57 45.9 54.1
1895.6 48 52
1900.81 49.7 50.3
1906.11 42.5 57.5
1910.11 47.1 52.9
1910.97 47.7 52.3
1918.95 34.9 65.1
1922.87
1923.93 31.5 32.5 36
1924.8 39.9 34.9 25.2
1929.41 32.9 40 27.1
1931.82 60.7 39.3
1935.87 42.7 40.6 16.7
1945.51 31.3 53.3 15.4
1950.148 42.5 57.5
1951.9 43 57
1955.5 45.1 54.9
1959.83 39 47.2 13.8
1964.83 38.2 47.7 14.2
1966.33 37 50.2 12.9
1970.5 44.3 45.4 10.3
1974.25 37.4 38.6 24
1974.86 37.2 41.5 18.9 2.4
1979.42 48 39.6 10.7 1.8
1983.5 52.9 23.4 22.2 1.5
1987.5 54.7 24.5 19.7 1.1
1992.33 50.7 32.4 15.1 1.8
1997.42 37.7 48.6 11.8 1.9
2001.5 35.3 49.7 12.8 2.1
2005.42 37.1 41.4 17.9 2.4 1.3
2010.35 41.6 34.5 18.3 1.8 3.9
2015.35 49.5 31.9 4.1 11 3.5
2017.44 49.9 42 3.6 2.7 1.8

Code:

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

  library(tidyverse)
  library(htmltab)
  
  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:LoughboroughGraph.svg")
  
  ggsave("LoughboroughGraph.svg", device = "svg", units = "cm", width = 20, height = 11, dpi = 120)

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