Quiz: Cleaning Data in R – The Data Analyst Toolkit

This quiz will test your understanding about Cleaning Data in R. Please answer the following 5 questions.

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Question 1 of 5

1. Question
What are the most used packages for transforming data in R
- dplyr and tidyr
- stringr and tidyr
- stringr and stringi
- dbplyr and dtplyr
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Question 2 of 5

2. Question
What function is used to combine cells into one single column?
- combine() from the tidyr package
- unite() from the tidyr package
- unite_cells()
- combine_unite(combine=T)
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Question 3 of 5

3. Question
What is the tidyr function used to transform data from wide to long format
- pivot_longer()
- pivot_wider()
- pivot_data()
- longer_pivot()
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Question 4 of 5

4. Question
Write correct R code (with pipe operator) in order to select only observations where injury = “Assault” in the dataset called “injurydataset” . Then select only column injury and estimate.
- injurydataset %>% select(injury == "Assault") %>% select(injury, estimate)
- injurydataset %>% filter(injury == "Assault") %>% select(injury, estimate)
- injurydataset %>% select(injury == "Assault") %>% filter(injury, estimate)
- injurydataset %>% filter("Assault" = injury) %>% select(injury, estimate)
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Question 5 of 5

5. Question
Write correct R code (with pipe operator) in order to join 2 dataframe called “students” and “grades” by variable student_id. Then select only grades for student_id 50 and 75. Then combine variables course_id and course_title into the variable course. Then select only columns student_id, course, grade.
- students %>% inner_join(grades, by="student_id") %>% filter(student_id %in% c(50,75)) %>% unite(col="course", c(course_id,course_title)) %>% select(student_id, course, grade)
- students %>% join(grades, by="student_id") %>% filter(student_id %in% c(50,75)) %>% unite(col="course", c(course_id,course_title)) %>% select(student_id, course, grade)
- inner_join(students, grades, by="student_id") %>% filter(student_id %in% c(50,75)) %>% unite(col="course", c(course_id,course_title)) %>% select(student_id, course, grade)
- students %>% inner_join(grades, by="student_id") %>% select(student_id %in% c(50,75)) %>% unite(col="course", c(course_id,course_title)) %>% select(student_id, course, grade)
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