The reasons a data analyst might choose to use a tibble instead of a standard data frame in R are:
A) Tibbles automatically only preview as many columns as fit on screen
D) Tibbles automatically only preview the first 10 rows of data
Tibbles are a type of data structure in R that is similar to a data frame, but with some additional features. One of the main advantages of using a tibble is that it can make it easier to work with large datasets, as it automatically limits the number of columns and rows that are displayed on screen. This can make it easier to explore and understand the data, as it can be overwhelming to try to view all of the columns and rows of a large dataset at once.
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Complete Question:
A data analyst is working with a dataset in R that has more than 50,000 observations. Why might they choose to use a tibble instead of the standard data frame? Select all that apply.
A. Tibbles automatically only preview as many columns as fit on screen
B. Tibbles can automatically change the names of variables
C. Tibbles can create row names
D. Tibbles automatically only preview the first 10 rows of data
