geom_rect in ggplot2
How to make a timeline using geom_rect.
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geom_rect with a line graph
geom_rect is defined by its four sides (xmin, xmax, ymin, ymax), which are all included in the dataset. Fill refers to the colour of the rectangle, colour refers to the border, and size refers to the border width.
This line graph shows the unemployment number in the United States every month, beginning in July 1967. (This dataset comes with R.) We use geom_rect to shade the background according to the President's party. An important note: the President does not control economic policy, something that this graph hopefully makes apparent. This is for illutrustive purposes, using a simple case and a default dataset.
library(plotly) library(dplyr) df <- data.frame(name = c("Nixon", "Ford", "Carter", "Reagan", "Bush", "Clinton", "Bush", "Obama"), start = as.Date(c("1969-01-20", "1974-08-09", "1977-01-20", "1981-01-20", "1989-01-20", "1993-01-20", "2001-01-20", "2009-01-20")), end = as.Date(c("1974-08-09", "1977-01-20", "1981-01-20", "1989-01-20", "1993-01-20", "2001-01-20", "2009-01-20", "2017-01-20")), party = c("R", "R", "D", "R", "R", "D", "R", "D"), stringsAsFactors = FALSE) %>% mutate(median_x = start + floor((end-start)/2)) p <- ggplot(economics, aes(x=date,y=unemploy)) + geom_rect(data=df, aes(NULL,NULL,xmin=start,xmax=end,fill=party), ymin=0,ymax=16000, colour="white", size=0.5, alpha=0.2) + scale_fill_manual(values=c("R" = "red", "D" = "blue")) + geom_line() + geom_text(data=df,aes(x=median_x,y=3000,label=name), size=3) + labs(title = "Unemmployment numbers since 1967", y = "No. unemployed (x 1000)") fig <- ggplotly(p) fig
A Timeline Using geom_rect
geom_rect could also be the "main course" rather than just the background, for example by making a timeline.
Here are the leaders of the current European Union member countries, since 2000. Data comes from ParlGov
(which is where the parties' left-right scores come from, so please direct your complaints elsewhere). The
LaCroixColoR package is used and can be installed using the instructions in the GitHub Readme.
library(plotly) library(LaCroixColoR) library(dplyr) european_leaders <- read.csv("https://raw.githubusercontent.com/plotly/datasets/master/european_leaders.csv", stringsAsFactors = FALSE) %>% mutate(stint_start = as.Date(stint_start), stint_end = as.Date(stint_end), median_x = as.Date(median_x), left_right = as.character(left_right)) p <- ggplot(european_leaders, aes(xmin=stint_start, xmax=stint_end, ymin=vert_min, ymax=vert_max, fill=left_right)) + geom_rect(colour="white", size=0.1) + geom_text(aes(x=median_x, y=median_y, size=size, label=pm_name, #all names of separate variables text=paste(party_name_english, " (",country_name,")", sep=""))) + scale_fill_manual(values=lacroix_palette("PassionFruit",type = "continuous", n=8)) + #matches left/right colours labs(title = "Timeline of European leaders since 2000", x = "year", y = "", fill = "Party's \nleft-right \nscore", size = NULL) + theme(axis.text.y = element_blank(), #y-axis doesn't have actual values; no need for labels axis.ticks.y = element_blank()) fig <- ggplotly(fig, tooltip = c("label", "text")) #how to select what shows on the tooltip fig
What About Dash?
Learn about how to install Dash for R at https://dashr.plot.ly/installation.
Everywhere in this page that you see
fig, you can display the same figure in a Dash for R application by passing it to the
figure argument of the
Graph component from the built-in
dashCoreComponents package like this:
library(plotly) fig <- plot_ly() # fig <- fig %>% add_trace( ... ) # fig <- fig %>% layout( ... ) library(dash) library(dashCoreComponents) library(dashHtmlComponents) app <- Dash$new() app$layout( htmlDiv( list( dccGraph(figure=fig) ) ) ) app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)