Question

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?

Answer 1

A list is an R-object that can have a wide range of different items inside of it, including vectors, functions, and even another list.

The head() function lets you display the first observations in a data frame. The method tail() prints the final observations in your data collection in a manner similar to that. Both head() and tail() print a top line called the 'header', which contains the names of the distinct variables in your data collection. The R language's transform() function is used to alter data. The first parameter is transformed into a data frame. A suitable variable name comprises of letters, numbers and the dot or underline characters. The variable name does not begin with a number but rather with a letter or a dot.

Learn more about variable here-

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