Data visualization

Question 1

Which library is critical for creating visualizations such as scatterplots in R?

Answer 1

ggplot2

Question 2

What is the recipe to create a scatterplot?

Answer 2

ggplot(…) + geom_point()

Ex: ggplot(my_tibble, aes(x = gdpPerCap, y = lifeExp)) + geom_point()

Question 3

What are the three parts of a ggplot graph?

Answer 3

1. The data that we’re visualizing.
   Ex: ggplot(my_tibble…
2. The mapping of variables in your dataset to aesthetics in your graph.
   Ex: …aes(x = gdpPerCap, y = lifeExp))…
3. Specifying the type of graph you’re creating.
   Ex: … + geom_point()

Question 4

What is an aesthetic?

Answer 4

A visual dimension of a graph that can be used to communicate information.

Question 5

How can you make a scatter plot logarithmic?

Answer 5

scale_x_log10() or scale_y_log10()

Ex: ggplot(my_tibble, aes(x = gdpPerCap, y = lifeExp)) + geom_point() +
scale_x_log10()

Question 6

What aesthetic options are available in scatter plots?

Answer 6

x, y, color, size

Ex: aes(x = thing1, y = thing2, color = thing3, size = thing4)

Question 7

What is faceting?

Answer 7

Splitting one graph into many graphs based on a categorical variable.

Question 8

What is the function to facet a graph based on a certain variable?

Answer 8

facet_wrap()

Ex: … geom_point() +
facet_wrap(~ continent)