Question: A data analyst creates a data frame with data that has more than 5 0 , 0 0 0 observations in it . When they

A data analyst creates a data frame with data that has more than 50,000 observations in it. When they print their data frame, it slows down their console. To avoid this, they decide to switch to a tibble. Why would a tibble be more useful in this situation?
Tibbles only include a limited number of data items
Tibbles will automatically change the names of variables to make them shorter and easier to read
Tibbles will automatically create row names to make the data easier to read
Tibbles won't overload the console because they automatically only print the first 10 rows of data and as many variables as will fit on the screen
A data analyst creates a data frame with data

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