Bubble Maps in R

How to make a bubble chart and map in R.

New to Plotly?

Plotly's R library is free and open source!
Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode.
We also have a quick-reference cheatsheet (new!) to help you get started!

Version Check

Version 4 of Plotly's R package is now available!
Check out this post for more information on breaking changes and new features available in this version.

library(plotly)
packageVersion('plotly')

## [1] '4.5.2'

United States Bubble Map

library(plotly)
df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_us_cities.csv')

df$q <- with(df, cut(pop, quantile(pop)))
levels(df$q) <- paste(c("1st", "2nd", "3rd", "4th", "5th"), "Quantile")
df$q <- as.ordered(df$q)

g <- list(
  scope = 'usa',
  projection = list(type = 'albers usa'),
  showland = TRUE,
  landcolor = toRGB("gray85"),
  subunitwidth = 1,
  countrywidth = 1,
  subunitcolor = toRGB("white"),
  countrycolor = toRGB("white")
)

p <- plot_geo(df, locationmode = 'USA-states', sizes = c(1, 250)) %>%
  add_markers(
    x = ~lon, y = ~lat, size = ~pop, color = ~q, hoverinfo = "text",
    text = ~paste(df$name, "<br />", df$pop/1e6, " million")
  ) %>%
  layout(title = '2014 US city populations<br>(Click legend to toggle)', geo = g)

# Create a shareable link to your chart
# Set up API credentials: https://plot.ly/r/getting-started
chart_link = api_create(p, filename="scattergeo-bubble")
chart_link