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aes in ggplot2

How assign aesthetics in ggplot2 and R.


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Fill

library(plotly)

ds <- data.frame(x = 1:10,
                 y = sample(10:30, size = 10),
                 group = LETTERS[1:2])

# Use the fill aesthetic to specify the fill color for the bars
p <- ggplot(ds, aes(x, y)) +
  geom_bar(aes(fill = group), stat = "identity") +
  ggtitle("Filled bar chart")

fig <- ggplotly(p)

fig

Group

library(plotly)

x1 <- 1:100
x2 <- x1 + 100
x3 <- x2 + 100

x <-  c(x1, x2, x3)
y <- c(2*x1, 5*x2, -2*x3)

group <-  c(rep("A", length(x1)),
           rep("B", length(x2)),
           rep("C", length(x3)))

ds <- data.frame(x, y, group)

# Use the group aesthetic to ensure lines are drawn separately for each group
p <- ggplot(ds, aes(x, y)) +
  geom_line(aes(group = group, color = group), size = 2) +
  ggtitle("Group specific line chart")

fig <- ggplotly(p)

fig

Label

library(plotly)

ds <- data.frame(x = rnorm(10),
                 y = rnorm(10),
                 group = LETTERS[1:2])

p <- ggplot(ds, aes(x, y)) +
  geom_point(aes(color = group), size = 7) +
  geom_text(aes(label = group), size = 4) +
  ggtitle("Annotation with labels")

fig <- ggplotly(p)

fig

Shape

library(plotly)

ds <- data.frame(x = letters[1:5],
                 y = rnorm(20),
                 group = LETTERS[1:4])

# Use aes shape to map individual points and or different groups to different shapes
p <- ggplot(ds, aes(x, y)) +
  geom_point(aes(color = group, shape = group), size = 5) +
  geom_line(aes(group = group, linetype = group)) +
  ggtitle("Groupwise shapes and line types")

fig <- ggplotly(p)

fig

Inspired by ggplot2 documentation

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)