File:NottinghamSouthGraph.svg

Summary

Description
English: United Kingdom general election results for Nottingham South constituency.
Date
Source Own work
Author JeremyA
SVG development
InfoField
 The source code of this SVG is invalid due to an error.
 This W3C-invalid chart was created with R.
Category:Invalid SVG created with R#1000NottinghamSouthGraph.svg
 Category:Translation possible - SVGThis file uses embedded text that can be easily translated using a text editor.

Notes

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

Graph drawn with R

Parties:

Data:

YearConservativeLabourLiberalOther
1923.9351.4NA23.824.8
1929.4141.342.915.8NA
1931.82NA31.65NA68.35
1935.87NA36.8110.9552.24
1945.51NA50.4614.0735.47
1950.14843.8248.038.13NA
1951.8249.3950.61NANA
1955.456.8843.12NANA
1959.7757.1142.89NANA
1964.7945.974113.03NA
1966.2549.6850.32NANA
1970.4653.7546.25NANA
1983.4445.934.120NA
1987.444540.814.2NA
1992.2741.847.7100.5
1997.3327.755.312.94
2001.4327.254.516.61.7
2005.3425.947.422.93.9
2010.3532.937.323.16.7
2015.3531.747.63.517.2
2017.4430.962.43.23.5

Source code

The logo of R – programming language for statistical analysis
The logo of R – programming language for statistical analysis
This media was created with R (programming language for statistical analysis)Category:Images with R source code
Here is a listing of the source used to create this file.

Deutsch  English  +/− 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:NottinghamSouthGraph.svg")
  
ggsave("NottinghamSouthGraph.svg", device = "svg", units = "cm", width = 20, height = 11, dpi = 120)

Licensing

JeremyA, the copyright holder of this work, hereby publishes it under the following license:
w:en:Creative Commons
attribution share alike
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Attribution:
You are free:
  • to share – to copy, distribute and transmit the work
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Under the following conditions:
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  • 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.
Category:CC-BY-SA-4.0#NottinghamSouthGraph.svgCategory:Self-published work
Category:Politics of Nottinghamshire
Category:CC-BY-SA-4.0 Category:Images with R source code Category:Invalid SVG created with R Category:Politics of Nottinghamshire Category:Self-published work Category:Translation possible - SVG