Dot Plots in ggplot2

How to make Dot Plots in ggplot2 with Plotly.

New to Plotly?

Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

Default dotplot

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg)) +
  geom_dotplot()

plotly::ggplotly(p)

Increase dot size

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg)) +
  geom_dotplot(binwidth = 1.5)

plotly::ggplotly(p)

Using fixed-width bins.

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg)) +
  geom_dotplot(method="histodot", binwidth = 1.5)

plotly::ggplotly(p)

Various stack methods

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg)) +
  geom_dotplot(binwidth = 1.5, stackdir = "center")

plotly::ggplotly(p)

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg)) +
  geom_dotplot(binwidth = 1.5, stackdir = "centerwhole")

plotly::ggplotly(p)

Hiding y axis

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg)) + geom_dotplot(binwidth = 1.5) +
  scale_y_continuous(NULL, breaks = NULL)

plotly::ggplotly(p)

Overlapping dots vertically

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg)) +
  geom_dotplot(binwidth = 1.5, stackratio = .7)

plotly::ggplotly(p)

Expanding dot diameter

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg)) +
  geom_dotplot(binwidth = 1.5, dotsize = 1.25)

plotly::ggplotly(p)

Changing fill colour and stroke witdth

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg)) +
  geom_dotplot(binwidth = 1.5, fill = "white", stroke = 2)

plotly::ggplotly(p)

Stacking along y axis

library(plotly)

p <-    
 ggplot(mtcars, aes(x = 1, y = mpg)) +
  geom_dotplot(binaxis = "y", stackdir = "center")

plotly::ggplotly(p)

library(plotly)

p <-    
 ggplot(mtcars, aes(x = factor(cyl), y = mpg)) +
  geom_dotplot(binaxis = "y", stackdir = "center")

plotly::ggplotly(p)

library(plotly)

p <-    
 ggplot(mtcars, aes(x = factor(cyl), y = mpg)) +
  geom_dotplot(binaxis = "y", stackdir = "centerwhole")

plotly::ggplotly(p)

Changing colour with dodge position

library(plotly)

p <-    
 ggplot(mtcars, aes(x = factor(vs), fill = factor(cyl), y = mpg)) +
  geom_dotplot(binaxis = "y", stackdir = "center", position = "dodge")

plotly::ggplotly(p)

Aligning bins between groups

library(plotly)

p <-    
 ggplot(mtcars, aes(x = factor(am), y = mpg)) +
  geom_dotplot(binaxis = "y", stackdir = "center", binpositions="all")

plotly::ggplotly(p)

Stacking groups with different fill

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg, fill = factor(cyl))) +
  geom_dotplot(stackgroups = TRUE, binwidth = 1, binpositions = "all")

plotly::ggplotly(p)

library(plotly)

p <-    
 ggplot(mtcars, aes(x = mpg, fill = factor(cyl))) +
  geom_dotplot(stackgroups = TRUE, binwidth = 1, method = "histodot")

plotly::ggplotly(p)

Flip plot orientation

library(plotly)

p <-    
 ggplot(mtcars, aes(x = 1, y = mpg, fill = factor(cyl))) +
  geom_dotplot(binaxis = "y", stackgroups = TRUE, binwidth = 1, method = "histodot")

plotly::ggplotly(p)

What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

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)