#install.packages("tidyverse") require(tidyverse) # The tidyverse package covered last time # install.packages("ggthemes") require(ggthemes) # for great visualization colors and themes. # install.packages("maps") require(maps) # for some maps data # Gapminder data (for example) #install.packages("gapminder") require(gapminder)
Gapminder dataset is a famous dataset used by Hans Rosling to visualize development outcomes. The data covers 1952 to 2007 in five year intervals and measures life expectancy, population, and GDP Per Capita.
gapminder %>% head()
Each of the following questions are targeted at making sure we understand our data better. A great way to get a “feel” for a dataset is to visualize it. Answer each of the below questions with a (publishable-quality) picture.
Two ways to think about this: one is to plot each figure individually.
# Life Expectancy gapminder %>% ggplot(aes(lifeExp)) + geom_histogram(bins=30) + theme_bw()
# Population gapminder %>% ggplot(aes(pop)) + geom_histogram(bins=30) + theme_bw()