Visualizing population
A histogram is useful for examining the distribution of a numeric variable. In this exercise, you'll create a histogram showing the distribution of country populations (by millions) in the year 1952.
Code for generating this dataset, gapminder_1952
, is provided.
This exercise is part of the course
Introduction to the Tidyverse
Exercise instructions
Use the gapminder_1952
dataset to create a histogram of country population (pop_by_mil
) in the year 1952. Inside the histogram geom, set the number of bins
to 50
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
library(gapminder)
library(dplyr)
library(ggplot2)
gapminder_1952 <- gapminder %>%
filter(year == 1952) %>%
mutate(pop_by_mil = pop / 1000000)
# Create a histogram of population (pop_by_mil)