Density plot with labels on lines



This post explains how to add a text or labels on the line of a density chart. It uses the ggplot2 and geomtextpath packages for creating the chart and making it nice.

Density section Data to Viz

Package


For this post, we need the ggplot2 and geomtextpath packages.

# Install the packages if not already done
# install.packages("ggplot2")
# install.packages("geomtextpath")

# Load the package
library(ggplot2)
library(geomtextpath)

Default density chart in ggplot2


Here’s what the default density chart output looks like with ggplot2:

Add labels


With the geom_textdensity() function (inspired from the geom_density() func from ggplot2), we can add the label of species directly on each density line.

library(hrbrthemes)
data(iris)

ggplot(iris, aes(x = Sepal.Length, colour = Species, label = Species)) +
  geom_textdensity() +
  theme_bw() + guides(color = 'none')

Change texts properties


The geom_textdensity() can take multiple arguments in order to change the properties of the labels:

  • size: size of the text

  • fontface: style of the font

  • vjust: vertical adjustment

  • hjust: horizontal adjustment

The 2 last arguments can either be float (generally between -1 and 1) or string such as xmid (or ymid), xmax (or ymax) and auto (default).

library(hrbrthemes)
data(mtcars)

mtcars$labels = ifelse(mtcars$vs==0, "Type 0", "Type 1")
ggplot(mtcars, aes(x = qsec, colour = as.factor(labels), label = as.factor(labels))) +
  geom_textdensity(size = 6, fontface = 4, # size of 6, bold italic
                   vjust = -0.4, hjust = "ymid") +
  theme_bw() + guides(color = 'none')

Conclusion


In this post, we look at how to use the geomtexpath package to create density plot with text. To find out more about how to customize a density plot, see the dedicated section.

Related chart types


Scatter
Heatmap
Correlogram
Bubble
Connected scatter
Density 2d



Contact

This document is a work by Yan Holtz. Any feedback is highly encouraged. You can fill an issue on Github, drop me a message on Twitter, or send an email pasting yan.holtz.data with gmail.com.

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