Lab Problem Set 2

Overview

The purpose of this lab is to get you more familiar with scale_*() options for visualizing the data and learn to explore what seems to work better. Specifically, you will work with changing colors, shapes, and sizes.

Data

You will use the same gapminder.csv dataset we used in Lab 3.

Tasks

1. You got to work primarily just with color in lab 3. But scale functions also work for other aesthetics like shape or size. To see that, create a scatter plot with just one year

Hint: Note the Aesthtic Mappings below for Scatter Plot

x mapped to gdpPercap y mapped to lifeExp color and shape mapped to continent and size mapped to pop Show x-axis scale to be shown in log-scale (Hint: use scale_x_log10)

2. Change colors and shapes of the point

Hint 1: Use scale_color_*() and with scale_shape_*() Hint 2: If you run ?pch in your console or search for pch in the help, you will see possible shapes

3. Try changing the size next

4. Finally, load the {scales} library (which is installed as part of {tidyverse} but isn’t automatically loaded),

You can then use some neat helper functions to reformat the text that shows up in plots.

For instance, use that to make it so that population legend is formatted as a number with commas every 3 numbers, and the x-axis is formatted as dollars.