How To Zoom in on a Plot in R? - Data Viz with Python and R

While making data visualization, often you might want show a bigger level picture and then zoom in on part of the plot. In this tutorial, we will see an example of how to zoom in on a part of plot made with ggplot2 in R. The package, ggforce, made by fantastic Thomas Lin Pedersen, can help to make a plot with zoom-in easily with ggplot2 in R.

Let us load ggforce and tidyverse suita of R packages.

library(ggforce)
library(tidyverse)
theme_set(theme_bw(16))

To illustrate how to make a plot with zoom in using ggplot2, we will use astronauts dataset from TidyTuesday project. Let us load the astronauts data from TidyTuesday project’s github.

# Load data from TidyTuesday github
astronauts <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2020/2020-07-14/astronauts.csv')

This data set contains details about astronauts who went to space starting form 1960s.

## Parsed with column specification:
## cols(
##   .default = col_double(),
##   name = col_character(),
##   original_name = col_character(),
##   sex = col_character(),
##   nationality = col_character(),
##   military_civilian = col_character(),
##   selection = col_character(),
##   occupation = col_character(),
##   mission_title = col_character(),
##   ascend_shuttle = col_character(),
##   in_orbit = col_character(),
##   descend_shuttle = col_character()
## )

Let us make a simple scatterplot between the year of space mission and hours of mission for each astronauts. Since the range of y=axis is large, we use log scale in the scatter plot.

astronauts %>% 
  ggplot(aes(x=year_of_mission,hours_mission, color=sex))+
  geom_point()+
  scale_y_log10()

In this example, we can see an interesting pattern around 1980, where some missions are shorter in time, while the other is longer. Having the ability to zoom in on the year around this transition may be useful.

Scatter plot example with TidyTuesday Astronaut data

ggforce, one of the ggplot2 extension packages lets you zoom in to ggplot2 in multiple ways. Here we use ggforce’ facet_zoom() function to zoom in on part of x-axis with a specific range provided as argument.

astronauts %>% 
  ggplot(aes(x=year_of_mission,hours_mission, color=sex))+
  geom_point()+
  scale_y_log10()+
  facet_zoom(xlim = c(1965, 1985))

ggforce’s facet_zoom() creates faceted plot with the original plot first and an inset showing the zoomed in region as shown below.

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