Visualizing population with x-axis on a log scale
In the last exercise you created a histogram of populations across countries. You might have noticed that there were several countries with a much higher population than others, which causes the distribution to be very skewed, with most of the distribution crammed into a small part of the graph. (Consider that it's hard to tell the median or the minimum population from that histogram).
To make the histogram more informative, you can try putting the x-axis on a log scale.
Bu egzersiz
Introduction to the Tidyverse
kursunun bir parçasıdırEgzersiz talimatları
- Use the
gapminder_1952dataset (code is provided) to create a histogram of country population (pop) in the year 1952, putting the x-axis on a log scale withscale_x_log10().
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
library(gapminder)
library(dplyr)
library(ggplot2)
gapminder_1952 <- gapminder %>%
filter(year == 1952)
# Create a histogram of population (pop), with x on a log scale