Quiz Tutorial 2: Importing Data into R with readr

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This quiz complements Tutorial 2: Importing Data into R with readr. It is only for your own self-assessment so you are free to submit as many times as you want.

Link to tutorial: https://www.kaggle.com/anichh/tutorial-2-importing-data-into-r-with-readr

Q1: REVIEW: Which of the following functions lets us set a new working directory? *

1 point

getwd()

setwd()

wd()

new()

Q2: REVIEW: Which of the following codes will print the entire DEMO data frame? *

1 point

print(DEMO)

print("DEMO")

DEMO[ , ]

DEMO[all, all]

Q3: read_csv can also be used to import Excel and txt files. *

1 point

True

False

Q4: Which R package does the function read_csv() belong to? *

1 point

tidyverse

readr

ggplot

dplyr

Q5: REVIEW: R is case sensitive. *

1 point

True

False

Q6: Which of the following statements about read_csv() are correct? (select all that apply) *

1 point

the file name needs to be in ""

it only reads csv files

read_csv() will understand you if you misspell the file name

none of the above - they are all false

Required

Q7: Which of the following is the best an example of a data that would be classified as col_double()? *

1 point

two

07-06-2021

2.54

Q8: Which of the following statements is true about the argument skip? *

1 point

we can use it to skip the columns we do not want to import to R

it can only be used with read_csv()

it skips the first few specified number of rows (e.g. skip = 5 tells R to skip the first five rows)

it skips very specific row(s) and the number refers to the order of the rows (e.g. skip = 5 tells R to skip the fifth row)

Q9: In which of the following scenarios do you think we would NEED to use col_names = FALSE? (select all that apply) *

1 point

when we want to change the names of our columns

when we want to remove a column named "col_names"

when the raw data set does not have any header

when we want R to automatically add "X1", "X2", "X3",... as the header of our imported data

Required

Q10: Only characters can be assigned a value of NA, there is a different missing-value designation for numeric values. *

1 point

True

False

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