Line plots (geom_line) in R Programming - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

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

R Programming

library(ggplot2)
data <- data.frame(x = 1:5, y = c(3, 5, 2, 8, 7))
ggplot(data, aes(x = x, y = y)) + [1]()

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

Ageom_bar

Bgeom_point

Cgeom_line

Dgeom_histogram

Attempts:

3 left

💡 Hint

Common Mistakes

Using geom_point() instead of geom_line() will show points, not lines.

Using geom_bar() or geom_histogram() is for bar charts, not line plots.

The geom_line() function adds a line plot layer to the ggplot.

2fill in blank

medium

Complete the code to map the color aesthetic to the variable 'group' in the line plot.

R Programming

library(ggplot2)
data <- data.frame(x = rep(1:5, 2), y = c(3,5,2,8,7,4,6,3,7,9), group = rep(c('A', 'B'), each = 5))
ggplot(data, aes(x = x, y = y, color = [1])) + geom_line()

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

Agroup

By

Cx

Dcolor

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'x' or 'y' for color will not group lines by category.

Using 'color' as a string literal is incorrect; it should be a variable name.

Mapping color = group colors the lines by the 'group' variable.

3fill in blank

hard

Fix the error in the code to correctly plot lines grouped by 'group'.

R Programming

library(ggplot2)
data <- data.frame(x = rep(1:5, 2), y = c(3,5,2,8,7,4,6,3,7,9), group = rep(c('A', 'B'), each = 5))
ggplot(data, aes(x = x, y = y, color = group)) + geom_line(aes(group = [1]))

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

Ay

Bcolor

Cx

Dgroup

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'color' or 'x' for group aesthetic causes lines to connect incorrectly.

Not specifying group causes all points to connect in one line.

Setting group = group inside geom_line() ensures lines connect points within each group.

4fill in blank

hard

Fill both blanks to create a line plot with points and set line type by 'group'.

R Programming

library(ggplot2)
data <- data.frame(x = rep(1:4, 2), y = c(2,4,3,5,3,5,4,6), group = rep(c('X', 'Y'), each = 4))
ggplot(data, aes(x = x, y = y, [1] = group)) + geom_line() + geom_point(aes([2] = group))

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

Alinetype

Bcolor

Cshape

Dsize

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'color' for both line and points changes colors, not line style or shape.

Using 'size' changes thickness or size, not line type or shape.

Use linetype = group to change line styles by group, and shape = group to change point shapes by group.

5fill in blank

hard

Fill all three blanks to create a line plot with customized color, line type, and add a title.

R Programming

library(ggplot2)
data <- data.frame(time = 1:6, value = c(5,7,6,8,7,9), category = rep(c('A', 'B'), each = 3))
ggplot(data, aes(x = time, y = value, color = [1], linetype = [2])) + geom_line() + ggtitle([3])

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

Acategory

Btime

C"My Line Plot"

D"Line Plot"

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'time' for color or linetype does not group lines properly.

Not putting the title text inside quotes causes errors.

Mapping both color and linetype to 'category' differentiates lines by category. The title is set with a string.