What does the following ggplot2 code do using the Titanic dataset?
ggplot(titanic, aes(x = Survived)) + geom_bar()

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BlackTom AI · Accepted Answer

The question asks what the provided ggplot2 code does when applied to the Titanic dataset.

First, the code constructs a ggplot object with the data set titanic and an aesthetic mapping where x is set to Survived. This means we’re focusing on the Survived variable as the x-axis.

Then, geom_bar() is added. When you use geom_bar() with only an x aesthetic and no y, ggplot2 uses the stat = 'count' mechanism. This counts the number of observations for each x value and draws a bar at that x position with height equal to the observed count.

Putting these together, the plot will display bars corresponding to the two possible Survived values (commonly 0 and 1), with each bar’s height representing how many passengers fall into that category. In other words, it’s a bar chart showing the count of non-survivors (e.g., Survived = 0) and survivors (e.g., Survived = 1).

Additional notes and potential confusions: if Survived were treated as a continuous variable, one might expect a histogram or different summarization, but with a discrete 0/1 outcome and geom_bar with only x mapped, the result is a simple count per category. Since no other aesthetics (like fill or color) are specified, the bars won’t be split or colored by another variable unless further layers are added.

Summer 2025 CECS 0927 02 Quiz 5.0: Module 1

What does the following ggplot2 code do using the Titanic dataset? ggplot(titanic, aes(x = Survived)) + geom_bar()

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