Data Visualization with ggplot2 MCQ question and answer with solution | R Programming MCQs

A. geom_scatter()

B. scatter()

C. geom_point()

D. point()

A. color = "red"

B. fill = "red"

C. col = "red"

D. aes(color = "red")

A. Adds aesthetic mappings to the plot

B. Adjusts the axis labels and titles

C. Applies statistical transformations to the data

D. Sets the color of the entire plot

A. Sets the title of the entire plot

B. Adds a title to a specific layer of the plot

C. Adds a title to the legend

D. Adjusts the size of the title text

A. geom_bar(x = category, y = count)

B. geom_bar(mapping = aes(x = category, y = count))

C. geom_bar(aes(x = category, y = count))

D. bar_plot(category, count)

A. geom_line()

B. line()

C. geom_path()

D. path()

A. geom_error_bars()

B. error_bar()

C. geom_errorbar()

D. bar_error()

A. Creates a scatter plot with wrapped facets

B. Divides the plot into multiple facets

C. Adds a wrap-around border to the plot

D. Creates a ribbon-like effect in the plot

A. Adjusts the overall theme of the plot

B. Changes the color theme of specific elements

C. Sets the font size of the plot

D. Adds a theme to a specific layer of the plot

A. geom_boxplot(x = group, y = value)

B. box_plot(group, value)

C. geom_boxplot(mapping = aes(x = group, y = value))

D. geom_boxplot(aes(x = group, y = value))