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Summary

DescriptionNewarkGraph.svg	English: United Kingdom general election results for Newark constituency.
Date	15 June 2017
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#1000NewarkGraph.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. Gaps in the data indicate elections where only a single candidate stood, and was returned unopposed.

Graph drawn with R

Parties:

Conservative = Conservative Party (1885–1918; 1964–present); Conservative and Liberal Unionist (1922–1959).
Labour = Labour Party
Liberal = Liberal Party (1885–1979); SDP-Liberal Alliance (1983–1987); Liberal Democrats (1992–present).

Data:

Year	Conservative	Labour	Liberal	UKIP	Other
1885.96	60	NA	40	NA	NA
1900	64.3	NA	35.7	NA	NA
1900.81	NA	NA	NA	NA	NA
1906.61	51.8	NA	48.2	NA	NA
1910.11	54.3	NA	45.7	NA	NA
1910.97	54	NA	46	NA	NA
1918.95	NA	NA	NA	NA	NA
1922.87	64.8	35.2	NA	NA	NA
1923.93	55.9	NA	44.1	NA	NA
1924.83	60.5	21.8	17.7	NA	NA
1929.41	45.5	23.3	31.2	NA	NA
1931.82	70.13	29.87	NA	NA	NA
1935.87	62.41	37.59	NA	NA	NA
1943	61.17	NA	NA	NA	38.84
1945.51	45.09	42.35	12.56	NA	NA
1950.148	40.28	54.2	5.52	NA	NA
1951.82	42.81	57.19	NA	NA	NA
1955.4	47.57	52.43	NA	NA	NA
1959.77	48.09	51.91	NA	NA	NA
1964.79	45.64	54.36	NA	NA	NA
1966.25	43.28	56.72	NA	NA	NA
1970.46	48.82	51.18	NA	NA	NA
1974.16	46.17	53.83	NA	NA	NA
1974.78	37.5	47.89	14.61	NA	NA
1979.34	45.95	42.95	11.21	NA	NA
1983.44	53.83	24.63	20.6	NA	0.95
1987.44	53.54	27.71	18.75	NA	NA
1992.27	50.4	35.8	13	NA	0.8
1997.33	39.4	45.2	11.5	NA	3.9
2001.43	46.5	37.5	13.2	NA	2.8
2005.34	48	33.9	15.9	2.2	NA
2010.35	53.9	22.3	20	3.8	NA
2014	45	17.7	2.6	25.9	8.8
2015.35	57	21.7	4.6	12	4.6
2017.44	62.7	29.7	5.1	2.6	NA

Source code

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:NewarkGraph.svg")
  
ggsave("NewarkGraph.svg", device = "svg", units = "cm", width = 20, height = 11, dpi = 120)

Licensing

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Category:CC-BY-SA-4.0#NewarkGraph.svg Category:Self-published work

Category:Politics of Nottinghamshire