Hover Text and Formatting in ggplot2
How to use hover text and formatting 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.
Maps
library(plotly)
data(canada.cities, package="maps")
p <- ggplot(canada.cities, aes(long, lat)) +
borders(regions="canada", name="borders") +
coord_equal() +
geom_point(aes(text=name, size=pop), colour="red", alpha=1/2, name="cities")
ggplotly(p)
Click to copy Custom Tooltip
library(plotly)
#install.packages("gapminder")
library(gapminder)
p <- ggplot(gapminder, aes(x = gdpPercap, y = lifeExp, color = continent, text = paste("country:", country))) +
geom_point(alpha = (1/3)) + scale_x_log10()
ggplotly(p)
Click to copy Inspired by Gapminder Tutorial
Control Events
library(plotly)
#install.packages("gapminder")
library(gapminder)
p <- ggplot(gapminder, aes(x = year, y = lifeExp, text = paste("country:",country))) +
geom_point() +
facet_wrap(~ continent)
ggplotly(p)
Click to copy Inspired by Gapminder Tutorial
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)
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