File:BassetlawGraph.svg

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Original file(SVG file, nominally 512 × 267 pixels, file size: 42 KB)

Captions

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Summary[edit]

Description
English: United Kingdom general election results for Bassetlaw constituency.
Date
Source Own work
Author JeremyA

Notes[edit]

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/wiki/File:BassetlawGraph.svg")
  
  ggsave("BassetlawGraph.svg", device = "svg", units = "cm", width = 20, height = 11, dpi = 120)

Licensing[edit]

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
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.

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current03:55, 18 October 2020Thumbnail for version as of 03:55, 18 October 2020512 × 267 (42 KB)Chessrat (talk | contribs)2019 update
02:05, 16 June 2017Thumbnail for version as of 02:05, 16 June 2017512 × 282 (40 KB)JeremyA (talk | contribs)User created page with UploadWizard

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