Quiz Tutorial 4: Data Analysis with dplyr

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This quiz complements Tutorial 4: Data Analysis with dplyr. 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/christyqu/tutorial-4-data-analysis-with-dplyr

Q1: What package does the function nhanes() belong to? *

1 point

nhanesA

dplyr

tidyr

plyr

Q2: Which code below is the correct one to print the last 10 rows of a dataframe called temp? *

1 point

head(temp)

head(temp,10)

tail(temp)

tail(temp,10)

Q3: Suppose a cell contains NA. What is the output after perform is.na() on it? *

1 point

a real number

True

False

Q4: Given the following code: select(dataset,A,B) What is the purpose of the code? *

1 point

only show column A from the dataset

rename column B to A

rename column A to B

only show column A and B from the dataset

Q5: Which code below is the correct one to rename column A to B in a dataframe called dataset? *

1 point

select(dataset, A = B)

select(dataset, B = A)

rename(dataset, A = B)

rename(dataset, B = A))

Q6: Fill in the blank to answer the first question in 'Try it yourself': filter(finaldemo, gender `__`) *

1 point

= Male

== Male

= 'Male'

== 'Male'

Q7: Fill in the blank to answer the second question in 'Try it yourself':filter(finaldemo, gender == 'Male' `__` age > 50) *

1 point

Q8: Fill in the blank to answer the third question in 'Try it yourself':filter(finaldemo, `__`) *

1 point

edu = NA

edu == NA

is.na(edu)

!is.na(edu)

Q9: Fill in the blank to answer the question in 'Try it yourself': `___` (finalbpx,`__`) *

1 point

select, bpt_sec

select, desc(bpt_sec)

arrange, bpt_sec

arrange, desc(bpt_sec)

Q10: Fill in the blank to answer both parts of the 'Try it yourself' sections. ___(final_bpx,rescale_pulse = pulse/2,rescale_bpt_sec = bpt_sec/60) *

1 point

mutate,mutate

mutate,transmute

transmute,mutate

transmute,transmute

Q11: Fill in the blanks to answer the question in 'Try it yourself': by_edu <- groupby(`__`) summarize(___, averageage = `__`(age, na.rm = TRUE)) *

1 point

edu,final_demo; final_demo; mean

final_demo,edu; edu; avg

final_demo,edu; by_edu; mean

edu,final_demo; by_edu; avg

Q12: Fill in the blanks to answer the first question in 'Try it yourself': by_gender <-group_by(final_demo,gender) filter(byedu,`__`) *

1 point

n() > 3

n(final_demo) > 3

n(gender) > 3

n(age) > 3

Q13: Fill in the blanks to answer the second question in 'Try it yourself':by_edu <-group_by(final_demo,edu) mutate(byedu, `__`) *

1 point

diff_age = age - avg_age

diff_age = mean(age, na.rm = T)

diff_age = diff(age)

diff_age = age - mean(age, na.rm = T)

Q14: Fill in the blanks to answer the question in 'Try it yourself':___ %>% filter(___,systolic > 120) %>% mutate(___,bpt_min = bpt_sec/60) *

1 point

temp; final_bpx; final_bpx

temp; BLANK; BLANK

final_bpx; final_bpx; final_bpx

final_bpx; BLANK; BLANK

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