File:RotherValleyGraph.svg

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Original file (SVG file, nominally 512 × 282 pixels, file size: 33 KB)

This file is from Wikimedia Commons and may be used by other projects. The description on its file description page there is shown below.

Summary

Description
English: United Kingdom general election results for Rother Valley constituency from 1918 to present.
Date
Source Own work
Author JeremyA
Other versions
A raster version of this image is available. It should be used in place of this vector image when superior.
File:RotherValleyGraph.svgFile:RotherValleyGraph.png

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 This W3C-invalid chart was created with R.
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Notes

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

Graph drawn with R

Parties:

Data:

Year Conservative Labour Liberal UKIP Other
1918.95 NA 55.1 17.7 NA 27.2
1922.87 NA NA NA NA NA
1923.93 31.4 68.6 NA NA NA
1924.83 34.7 65.3 NA NA NA
1929.41 23.7 76.3 NA NA NA
1931.82 37.7 62.3 NA NA NA
1935.87 28 72 NA NA NA
1945.51 24.8 75.2 NA NA NA
1950.148 23.4 76.6 NA NA NA
1951.82 24.3 75.7 NA NA NA
1955.4 24.4 75.6 NA NA NA
1959.77 25.9 74.1 NA NA NA
1964.79 25.6 74.4 NA NA NA
1966.25 23.18 76.82 NA NA NA
1970.46 28.2 71.8 NA NA NA
1974.16 26.6 73.4 NA NA NA
1974.78 17.9 67.3 14.8 NA NA
1979.34 27 62.2 10.7 NA NA
1983.44 28.1 46.5 25.4 NA NA
1987.44 24.9 56.4 18.4 NA 0.3
1992.27 26.9 60.5 12.7 NA NA
1997.33 16.7 67.6 11.6 NA 4.2
2001.43 21.7 62.1 12.5 3.7 NA
2005.34 19.4 55.4 15.9 4.3 5.1
2010.35 28.4 40.9 17.3 5.6 7.7
2015.35 23.3 43.6 4.2 28.1 0.8
2017.44 40.3 48.1 2.3 7.5 1.8

Source 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:RotherValleyGraph.svg")
  
ggsave("RotherValleyGraph.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
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.

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current02:50, 19 June 2017Thumbnail for version as of 02:50, 19 June 2017512 × 282 (33 KB)wikimediacommons>JeremyAUser created page with UploadWizard

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