Master Your R Skills with This Ten Minute Quiz

Quiz 5

⏳ Test your R skills with this 10-minute quiz! ⏳

It will check abilities like:

- Tidying and cleaning data
- Data wrangling with dplyr
- Writing efficient R code
- Basic statistical analysis

See if you can:

- Transform messy data into tidy formats
- Subset and manipulate dataframes
- Use pipes and vectorization to streamline code
- Calculate basic descriptive statistics

Solidifying these intermediate concepts will level up your R data science skills!

1 / 9

In the tidy data format, what is the convention for column names?

Lower case letters only

All capital letters

Underscore word separation

Lower case words separated by underscores

2 / 9

What dplyr function filters rows of a dataframe by a logical condition?

select()

arrange()

filter()

slice()

3 / 9

What makes code more efficient in R?

For loops

Apply functions

Vectorization

Repetition

4 / 9

If df is a dataframe, how do you select just the Name and Age columns?

df(Name, Age)

df[c("Name", "Age")]

select(df, Name, Age)

df %>% select(Name, Age)

5 / 9

In R, what is a faster alternative to a for loop?

while loop

apply() family functions

repeat loop

foreach loop

6 / 9

Which function generates summary statistics for each column of a dataframe?

summarize()

stats()

summary()

describe()

7 / 9

What are the steps in a typical tidyverse pipeline in R?

Manipulate, visualize, model

Import, tidy, transform, visualize, model

Clean, analyze, plot

Gather, separate, unite

8 / 9

. What type of R plot shows the relationship between two continuous variables?

sort()

tidy()

arrange()

order()

9 / 9

What R function changes the type of columns in a dataframe?

transform()

convert()

type_change()

mutate()

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Test Your R Skills with This 10-minute Quiz

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