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Introduction to the Tidyverse
Introduction to the Tidyverse
Run the hidden code cell below to import the data used in this course.
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# Important functions in the dplyr package:
## filter
## arrange
## mutate
# Scatter plot comparing gdpPercap and lifeExp, with color representing continent
# and size representing population, faceted by year
ggplot(gapminder, aes(x = gdpPercap, y = lifeExp, color = continent, size = pop)) +
geom_point() +
facet_wrap(~year)
# Filter for 1957 then summarize the median life expectancy and the maximum GDP per capita
gapminder %>%
filter(year == 1957) %>%
summarize(medianLifeExp = median(lifeExp), maxGdpPercap = max(gdpPercap))
library(gapminder)
library(dplyr)
# Find median life expectancy and maximum GDP per capita in each year
gapminder %>%
group_by(year) %>%
summarize(medianLifeExp = median(lifeExp), maxDdpPercap = max(gdpPercap))
# Find median life expectancy and maximum GDP per capita in each continent in 1957
gapminder %>%
filter(year == 1957) %>%
group_by(continent) %>%
summarize(medianLifeExp = median(lifeExp), maxGdpPercap = gdpPercap)