Data Manipulation in R

Question 1

This is a conditional statement we use in R.

Answer 1

ifelse

Question 2

Is calculated by taking the sum of the values and dividing with the number of values in a data series.

Answer 2

Mean

Question 3

Is a measure of how far away items in a data set are from the mean.

Answer 3

Standard deviation

Question 4

If there are missing values, then the mean and sd functions returns what output?

Answer 4

NA

Question 5

This function is used to produce mean, median, minimum, maximum, 1st and 3rd quartile.

Answer 5

summary

Question 6

This package allows you to use the forward-pipe chaining operator (%>%) for combining multiple operations.

Answer 6

dplyr

Question 7

Use _____ to ______ data with the required condition.

Answer 7

Filter, Filter

Question 8

This function is used to reorder rows.

Answer 8

arrange

Question 9

This function is used in picking variables.

Answer 9

select

Question 10

This function is used to change the name of the column(s).

Answer 10

rename

Question 11

This function is used to add new variables that are functions of existing variables.

Answer 11

mutate

Question 12

This function is used to find insights from the data.

Answer 12

summarise

Question 13

This two functions are used in taking random samples.

Answer 13

sample.n and sample.frac

Question 14

To drop the missing values, what syntax do you use?

Answer 14

na.rm = TRUE

Question 15

How do we write the syntax of an if-else statement?

Answer 15

ifelse(<condition>, <true>, <false>)</false></true></condition>