Dot Plots in ggplot2

How to make Dot Plots in ggplot2 with Plotly.

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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)