Composite plots: grid.arrange

I really like composite plots, where there’s a top part that describes a phenomenon and a bottom part with a synthetic time view of the overall process.
I’ve recently discovered this beautiful representation of educational differentials by gender, by Sara Lopus and Margaret Frye, and the beauty of this dataviz is that it tells a story on its own. (Click on the link for the publication)

I have used a random generated data to reproduce the graph in ggplot and used grid.arrange from gridExtra package to bind grobs, the top and bottom components.

grid.arrange(top, bottom, heights=c(10,5), widths=c(20), padding=0)

I have saved the map as a .png file png package and used rasterGrob from package grid to create a raster image graphical object.

Screen Shot 2018-08-30 at 11.26.50

Pyramid-like bar chart for climate change barriers

I was scrolling through the Independent and got hooked on a graph displaying the percentage of people’s concerns regarding climate change by country, and was extremely surprised by the results. UK and US lag far behind countries including China in wanting their governments to pursue a meaningful commitment to successfully address climate change.

newplot

library(ggplot2)
library(grid)
library(plyr)

dta<-
structure(list(country = structure(c(15L, 3L, 4L, 5L, 14L, 6L,
10L, 12L, 1L, 2L, 7L, 8L, 9L, 11L, 13L, 15L, 3L, 4L, 5L, 14L,
6L, 10L, 12L, 1L, 2L, 7L, 8L, 9L, 11L, 13L), .Label = c("Australia",
"China", "Denmark", "Finland", "France", "Germany", "Hong Kong",
"Indonesia", "Malaysia", "Norway", "Singapore", "Sweden", "Thailand",
"UK", "US"), class = "factor"), issue = c("Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage who think climate \nchange is 'not a serious problem' ",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change",
"Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change"
), perc = c(32L, 14L, 23L, 10L, 26L, 11L, 22L, 18L, 11L, 4L,
5L, 3L, 2L, 5L, 6L, -17L, -4L, -8L, -3L, -7L, -4L, -10L, -8L,
-3L, -1L, -1L, -1L, -1L, -1L, -1L)), .Names = c("country", "issue",
"perc"), row.names = c(NA, -30L), class = "data.frame")

p <- ggplot(dta, aes(reorder(country,perc),perc,fill=issue)) +
geom_bar(subset = .(issue == "Percentage who think climate \nchange is 'not a serious problem' "), stat = "identity",colour="black",alpha=0.5) +
annotate("text",x = 16.5, y = -12,label=dta$issue[16], fontface="bold")+
geom_bar(subset = .(issue == "Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change"),colour="black", stat = "identity",alpha=0.5) +
annotate("text",x = 16.5, y = 15,label=dta$issue[1], fontface="bold")+
scale_fill_manual(values = c("#F7320B", "#2BC931"))+
geom_text(subset = .(issue == "Percentage who think climate \nchange is 'not a serious problem' "),
aes(label=perc.a), position="dodge", hjust=-.35)+
geom_text(subset = .(issue == "Percentage that want their country's strategy not to agree \nto any international agreement that addresses climate change"),colour="black", stat = "identity",aes(label=perc.b), position="dodge", hjust=2)+
coord_flip() +
xlab("")+
ylab("")+
scale_x_discrete(expand=c(0.2,0.55))+
scale_y_continuous(limits=c(-22,32),
breaks = c(-17,-10,0,10,32),
labels = paste0(as.character(c(17,10,0,10,32), "%")))+
theme(axis.text.y  = element_text(size=13,hjust=1),
axis.text = element_text(colour = "black"),
plot.background = element_blank(),
panel.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
panel.border = element_blank(),
axis.ticks = element_blank(),
axis.text.x = element_blank(),
legend.background =element_rect("white"),
legend.position="none",
strip.background = element_rect(fill = "white", colour = "white"),
strip.text.x = element_text(size = 13))

ggsave("newplot.pdf",p,scale=2)