Bullet Charts in ggplot2

How to make Bullet Charts in ggplot2 with Plotly.

Plotly Studio: Transform any dataset into an interactive data application in minutes with AI. Sign up for early access now.

Default plot

Control colours with fill argument inside fill().

library(plotly)
library(ggplot2)
library(tidyverse)

data <- tibble(
  name = "Example",
  quant_value = 75,
  qualitative = 100
)

p <- data %>% 
  ggplot(aes(x = quant_value, y = name)) +
  geom_col(aes(x = qualitative), fill = "grey") +
  geom_col(width = 0.5, fill = "black")

ggplotly(p)

Size of the plot

To make the plot thinner use ylim argument inside coord_cartesian().

library(plotly)
library(ggplot2)
library(tidyverse)

data <- tibble(
  name = "Example",
  quant_value = 75,
  qualitative = 100
)

p <- data %>% 
  ggplot(aes(x = quant_value, y = name)) +
  geom_col(aes(x = qualitative), fill = "grey") +
  geom_col(width = 0.5, fill = "black") +
  coord_cartesian(ylim = c(0.3, 1.7)) +
  theme_minimal() +
  theme(panel.grid.major.y = element_blank())

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)