Sys.setlocale("LC_TIME", "English")library(ggplot2)library(anytime)library(tidyverse)library(svglite)library(Rcpp)polls <- read.table("DE.csv", header=T, sep=",", fileEncoding="UTF-8", stringsAsFactor=F)polls$polldate <- as.Date(anydate(polls$polldate))spansize <- 0.065           # general smoothing parameter for trend linennum <- 600                 # number of points used for trendline (resolution)startdate <- '2016-09-18'   # date of previous electionenddate <- '2021-09-19'     # (latest) date of next election# retrieve party names from CSVparty1 <- colnames(polls)[2]party2 <- colnames(polls)[3]party3 <- colnames(polls)[4]party4 <- colnames(polls)[5]party5 <- colnames(polls)[6]# define party colors (taken from https://www.how.com.vn/wiki/en/Category:Germany_political_party_colour_templates)col1 <- '#2E4EA4'col2 <- '#CC1111'col3 <- '#4488CC'col4 <- '#FFC003'col5 <- '#0AD1C9'transp <-'55'       # transparency level of pointsgraph <- ggplot(polls)+  geom_vline(xintercept = as.Date(startdate), color='#aaaaaabb')+       # vertical line (last election)  geom_vline(xintercept = as.Date(enddate), color='#aaaaaabb')+         # vertical line (next election)  geom_segment(aes(x=as.Date(startdate), xend=as.Date(enddate), y=5, yend=5), color='#666666bb', linetype='dashed')+      # horizontal line (election threshold 5%)  # add poll points  geom_point(aes_string(x='polldate',y=party1),size=ifelse(polls$polldate==startdate | polls$polldate==enddate,3,1.5),shape=ifelse(polls$polldate==startdate | polls$polldate==enddate,23,21),color=paste0(col1,transp),fill=paste0(col1,transp))+  geom_point(aes_string(x='polldate',y=party2),size=ifelse(polls$polldate==startdate | polls$polldate==enddate,3,1.5),shape=ifelse(polls$polldate==startdate | polls$polldate==enddate,23,21),color=paste0(col2,transp),fill=paste0(col2,transp))+  geom_point(aes_string(x='polldate',y=party3),size=ifelse(polls$polldate==startdate | polls$polldate==enddate,3,1.5),shape=ifelse(polls$polldate==startdate | polls$polldate==enddate,23,21),color=paste0(col3,transp),fill=paste0(col3,transp))+  geom_point(aes_string(x='polldate',y=party4),size=ifelse(polls$polldate==startdate | polls$polldate==enddate,3,1.5),shape=ifelse(polls$polldate==startdate | polls$polldate==enddate,23,21),color=paste0(col4,transp),fill=paste0(col4,transp))+  geom_point(aes_string(x='polldate',y=party5),size=ifelse(polls$polldate==startdate | polls$polldate==enddate,3,1.5),shape=ifelse(polls$polldate==startdate | polls$polldate==enddate,23,21),color=paste0(col5,transp),fill=paste0(col5,transp))+  # add trend lines  # the "span" (smoothing parameter) should be manually changed for individual parties that have less polling data  geom_smooth(aes_string(x='polldate',y=party1,color=shQuote('col1')),method="loess",span=spansize,n=nnum,se=FALSE)+  geom_smooth(aes_string(x='polldate',y=party2,color=shQuote('col2')),method="loess",span=spansize,n=nnum,se=FALSE)+  geom_smooth(aes_string(x='polldate',y=party3,color=shQuote('col3')),method="loess",span=spansize,n=nnum,se=FALSE)+  geom_smooth(aes_string(x='polldate',y=party4,color=shQuote('col4')),method="loess",span=spansize,n=nnum,se=FALSE)+  geom_smooth(aes_string(x='polldate',y=party5,color=shQuote('col5')),method="loess",span=0.35,n=nnum,se=FALSE)+  scale_y_continuous(labels = function(x) paste0(x, "%"),limits=c(1,55))+    # add %, manual limits on y-axis  scale_x_date(limits = as.Date(c(startdate,enddate)), date_minor_breaks = "1 months", date_breaks = "3 months", date_labels = "%b %Y")+    # grid: 1 month, labels: 3 months  labs(x = "", y = "")+  scale_color_manual(name="",                     breaks = c('col1','col2','col3','col4','col5'),                     labels = c(party1,party2,party3,party4,party5),                     values = c('col1'=col1,'col2'=col2,'col3'=col3,'col4'=col4,'col5'=col5))+  # legend appearance  theme(    axis.text.x = element_text(size = 11),    axis.text.y = element_text(size = 12),    axis.title.y = element_text(size = 16),    legend.position="right",    legend.key.width=unit(24, "pt"),    legend.key.height=unit(24, "pt"),    legend.text = element_text(size=16, margin = margin(b = 5, t = 5, unit = "pt")))graph + theme()ggsave(file="polls.svg", plot=graph, width=18, height=8)# workaround since svglite doesn't properly work in Wikipediaaaa=readLines("polls.svg",-1)bbb <- gsub(".svglite ", "", aaa)writeLines(bbb,"polls.svg")

polldate,ER,KPRF,LDPR,SRZP,NL2021-09-19,49.82,18.93,7.55,7.46,5.322021-09-18,28.8,17.1,7.3,6.3,6.72021-09-12,29,16,8.1,6.3,4.92021-09-09,26,22,7,5,62021-09-09,30.1,16.9,9.6,6.3,4.22021-09-08,29.4,16.5,10,5.5,5.22021-09-05,29.3,16.6,7.8,6.1,3.82021-09-05,29,14,11,5,32021-09-05,34.9,19,12.1,12.6,2021-09-01,34,18,10,7,2.82021-08-29,30,15,10,5,32021-08-29,28.3,17.5,8.7,6.6,2021-08-25,30,16,9,7,2021-08-22,26.4,17.2,9,6.7,2021-08-22,27,13,11,6,22021-08-15,27.3,16.4,9.1,6.7,2021-08-15,30,13,10,6,22021-08-13,35,19,8,6,42021-08-08,29,11,9,6,22021-08-08,27.2,16,9.6,6.7,2021-08-01,27,11,9,6,22021-08-01,27.8,15.6,9.6,6.7,2021-07-30,35.6,16.2,13.6,9.4,2021-07-25,29,12,10,6,32021-07-25,28.7,14.1,10.3,7.2,2021-07-18,31,12,11,7,32021-07-18,27.7,14.1,10.6,7.2,2021-07-11,31,11,10,6,22021-07-11,28.3,13.6,10.5,7,2021-07-11,28,13,11,7,3.12021-07-06,28,11,11,6,2.62021-07-04,30,11,10,7,2021-07-04,28.7,14,10.9,7.2,2021-06-29,25,16,8,9,12021-06-27,29,13,11,8,2021-06-27,28.7,13.9,10.7,7.1,2021-06-20,32,12,11,8,22021-06-20,30.4,11.9,10,7.8,2021-06-13,32,11,10,7,12021-06-13,30.5,12,10.4,7.7,2021-06-06,31,10,10,6,12021-06-06,30.6,12.7,10.8,7.6,2021-05-31,31,12,10,8,22021-05-30,32,11,11,8,12021-05-30,29.7,13.2,10.2,7.3,2021-05-23,33,13,11,8,12021-05-23,29.5,12.7,10.2,7.8,2021-05-16,31,12,11,7,12021-05-16,30.4,12.1,10.5,7.7,2021-05-08,30,11,11,7,12021-05-08,29.6,12.2,10.7,7.4,2021-05-02,30.5,12.2,11.2,7.1,2021-04-25,33,12,10,7,12021-04-25,303,12.2,10.3,7.4,2021-04-18,32,13,11,8,12021-04-18,29.1,12.9,10.3,7.6,2021-04-11,32,12,10,7,12021-04-11,29.4,13,10.7,7.7,2021-04-04,31,12,9,7,12021-04-04,29.2,12.7,10.2,7.9,2021-03-28,31,12,11,7,12021-03-28,30.3,12.4,10.3,6.9,2021-03-22,33,16,9,8,12021-03-21,31,12,11,8,12021-03-21,29.3,12.6,10.3,8,2021-03-14,31,13,10,7,12021-03-14,28.7,12.5,10.8,7.3,2021-03-07,31,12,9,6,12021-03-07,30.3,12.3,10.8,8.2,2021-02-28,32,12,9,6,12021-02-28,29.4,12.4,10.1,8.4,2021-02-24,27,10,12,5,0.42021-02-21,30,13,10,7,12021-02-21,29.8,12.2,10.2,7.1,2021-02-14,30,12,10,7,12021-02-14,30.2,11.6,10.8,7.4,2021-02-07,29,10,9,6,02021-02-07,31,11.1,9.6,6.6,2021-01-31,31,10,9,7,12021-01-31,30.9,11.2,10.6,6.2,2021-01-24,32,11,11,6,12021-01-24,30.6,11.9,10.9,7,2021-01-17,32,12,13,5,12021-01-17,31,13,11.9,6.6,2021-01-10,28,12,11,4,2020-12-30,30.5,13,12,7.3,2020-12-20,31.1,13.1,11.7,6.2,2020-12-20,31,12,12,6,2020-12-13,30.1,13.4,12.1,7,2020-12-13,30,12,11,5,2020-12-06,30.2,13.2,12.7,6.4,2020-12-06,28,12,10,5,2020-11-29,29.9,13.2,13.1,6.6,2020-11-29,29,13,10,6,2020-11-26,29,7,11,5,12020-11-22,30.8,13,12.3,6.8,2020-11-22,30,13,11,6,2020-11-15,31,13.2,11.7,6.6,2020-11-15,13,12,10,6,2020-11-08,31.6,12.9,11.5,6.5,2020-11-08,30,12,9,5,2020-11-01,31.5,13,11.8,6.4,2020-11-01,30,13,10,6,2020-10-25,31.3,13.1,11.8,6.2,2020-10-25,31,13,11,6,2020-10-18,31.8,13.1,11.4,6.8,2020-10-18,31,12,10,5,2020-10-11,33.1,12.7,11,6.8,2020-10-11,30,11,10,5,2020-10-04,33,12.9,11.2,6.4,2020-10-04,31,13,10,5,2020-09-27,32.4,13.3,11.5,6.7,2020-09-27,31,13,11,6,2020-09-20,31.7,14.1,11.6,6.7,2020-09-20,30,13,10,5,2020-09-13,31.5,13.5,10.7,6,2020-09-13,30,12,9,5,2020-09-06,31.5,12.8,11.7,6.4,2020-09-06,31,12,9,5,2020-08-30,31.6,13.2,11.5,6,2020-08-30,31,12,10,5,2020-08-26,31,7,11,3,12020-08-23,31.7,13,11.4,6.1,2020-08-23,30,13,10,5,2020-08-16,30.5,13,11.4,5.8,2020-08-16,30,12,11,5,2020-08-09,31.9,13,11.8,6,2020-08-09,30,11,12,5,2020-08-02,31.6,13,12.5,6,2020-08-02,29,12,13,5,2020-07-26,32.4,13,12.8,5.6,2020-07-26,31,13,13,6,2020-07-19,32,12.6,12.8,5.8,2020-07-19,32,12,12,5,2020-07-12,33.9,11.8,11.2,6.2,2020-07-12,32,11,9,5,2020-07-05,33.3,12.5,10.3,6,2020-07-05,33,11,10,5,2020-06-28,36.1,12.6,10.5,5.3,2020-06-28,35,12,11,6,2020-06-21,33.4,13,11.2,6.2,2020-06-21,33,12,10,5,2020-06-14,33,13.1,10.7,5.8,2020-06-14,32,13,9,4,2020-06-07,32.2,14.5,11,5.9,2020-06-07,31,12,9,3,2020-05-31,33.4,14.2,11.1,5.9,2020-05-31,31,11,10,4,2020-05-24,33.9,14.5,11.5,5.4,2020-05-24,33,13,11,5,2020-05-17,33.8,14.3,10.7,5.5,2020-05-17,31,13,10,5,2020-05-10,33.8,14.5,9.9,5.8,2020-05-10,30,12,9,5,2020-05-03,33.5,13.9,11.4,5.8,2020-04-26,33,13,10,5,2020-04-26,33,13.7,11,5.9,2020-04-26,31,12,9,4,2020-04-19,34,14.1,10.3,5.7,2020-04-19,34,12,8,5,2020-04-12,34.3,13.2,9.6,5.9,2020-04-12,32,10,8,4,2020-04-05,36,12.8,9.6,5.6,2020-04-05,34,11,8,4,2020-04-02,38,11,9,4,2020-03-29,34.7,13.5,10.9,5.2,2020-03-29,37,12,9,4,2020-03-22,32.5,14.2,11.5,5.7,2020-03-22,35,13,12,5,2020-03-15,33,13.6,11.4,6.1,2020-03-15,33,9,9,4,2020-03-07,34,16,10,5,2020-03-07,32,9,10,4,2020-03-07,32.9,14.8,11.4,6,2020-03-01,31,10,10,5,2020-03-01,32.3,14.8,11.4,6,2020-02-26,28,8,10,3,2020-02-23,32,11,11,5,2020-02-22,33,14.9,12.2,6.3,2020-02-16,32.7,14.8,11.4,6.4,2020-02-16,32,10,12,5,2020-02-09,33.2,14.5,12,6,2020-02-09,31,11,12,4,2020-02-02,32.5,14.8,11.5,6.6,2020-02-02,31,11,12,4,2020-01-26,34.2,15.5,11.8,6.3,2020-01-26,32,11,12,5,2020-01-19,32.6,15.1,12.5,6.1,2020-01-19,33,12,12,4,2020-01-12,32.5,14.5,12.6,5.9,2020-01-12,32,12,13,3,2019-12-22,33,14.3,12.8,5.6,2019-12-22,34,12,12,4,2019-12-18,29,9,8,3,2019-12-15,31.4,15.6,13,6,2019-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