Why customization creates professional visualizations in R Programming - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to create a basic scatter plot using ggplot2.

R Programming

library(ggplot2)
ggplot(mtcars, aes(x = wt, y = mpg)) + geom_[1]()

Drag options to blanks, or click blank then click option'

Ageom_point

Bscatter

Cpoint

Dpoint_geom

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'scatter' instead of 'point' inside geom_ function.

The correct function to add points in ggplot2 is geom_point().

2fill in blank

medium

Complete the code to add a title to the plot.

R Programming

ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() + ggtitle([1])

Drag options to blanks, or click blank then click option'

A"mpg vs wt"

B'mpg vs wt'

Cmpg_vs_wt

Dmpg vs wt

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to put quotes around the title text.

The title text must be a string, so it needs to be in quotes like "mpg vs wt".

3fill in blank

hard

Fix the error in the code to change the color of points to blue.

R Programming

ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point(color = [1])

Drag options to blanks, or click blank then click option'

Ablue

B'blue'

Ccolor_blue

D"blue"

Attempts:

3 left

💡 Hint

Common Mistakes

Using color names without quotes causes errors.

Colors in ggplot2 must be specified as strings, so use "blue".

4fill in blank

hard

Fill both blanks to customize the plot with a theme and axis labels.

R Programming

ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point(color = "blue") + [1]() + [2](title = "Car Data", x = "Weight", y = "Miles per Gallon")

Drag options to blanks, or click blank then click option'

Atheme_minimal

Blabs

Ctheme_classic

Dlabels

Attempts:

3 left

💡 Hint

Common Mistakes

Using labels() instead of labs().

theme_minimal() applies a clean theme, and labs() sets axis labels and title.

5fill in blank

hard

Fill all three blanks to create a customized scatter plot with color, size, and theme.

R Programming

ggplot(mtcars, aes(x = wt, y = mpg, color = [1], size = [2])) + geom_point() + [3]()

Drag options to blanks, or click blank then click option'

Acyl

Bhp

Ctheme_light

Dtheme_dark

Attempts:

3 left

💡 Hint

Common Mistakes

Quoting variable names for color and size aesthetics.

Color is mapped to the number of cylinders (cyl), size to horsepower (hp), and theme_light() applies a light theme.