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Introduction to the Tidyverse

(also this is me practicing in workspace)

Run the hidden code cell below to import the data used in this course.

# Load the Tidyverse
library(tidyverse)

# Read in the gapminder file
gapminder <- read.csv("datasets/gapminder.csv", sep = "\t")

Visualizing with ggplot2

Don't forget to load the libraries AND the gapminder package....

library(ggplot2)
library(dplyr)
library(tidyverse)
install.packages("gapminder")
library(gapminder)

Isolate the year 1952 and store in a separate object

gapminder_1952 <- gapminder %>% filter(year == 1952)

Take a look and see what you got...

gapminder_1952

▲ NOICE!!

Let's show off our ability to code a pretty scatter plot that shows gdpPercap(logarithmically scaled) on the x-axis, lifeExp on the y-axis , nicely color coded continents with dots fluxuating in size relative to population...check this out...

ggplot(gapminder_1952, aes(x = gdpPercap, y = lifeExp, color = continent, size = pop)) + 
	geom_point() + 
	scale_x_log10()

what, wut!!?? or shoud we say, "woot! woot!

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