Since you use the read_csv() function to import the data from the .csv file, the code chunk that lets you create the data frame is option C: flavors_df <- read_csv("flavors_of_cacao.csv")
<h3>What is the aim of chunking?</h3>
Chunking aids in this process by dividing lengthy informational passages into smaller, easier-to-remember bits of information, especially when the memory is being challenged by conflicting inputs.
An R code chunk is a portion of executable code. Calculations will be repeated if the document is reproduced. The benefit of code chunk technology is the decreased possibility of mismatch.
The data frame can be created using the code chunk flavors df - read csv("flavors of cacao.csv"). In this section of code:
The data frame with the name flavors df will hold the information.
- The assignment operator - is used to give the data frame values.
- The function read csv() will import the data into the data frame.
- It read "flavors of cacao.csv" in the file name.
- the argument that the csv() function accepts.
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See full question below
You use the read_csv() function to import the data from the .csv file. Assume that the name of the data frame is flavors_df and the .csv file is in the working directory. What code chunk lets you create the data frame?
Single Choice Question. Please Choose The Correct Option ✔
A
read_csv(flavors_df <- "flavors_of_cacao.csv")
B
read_csv("flavors_of_cacao.csv") <- flavors_df
C
flavors_df <- read_csv("flavors_of_cacao.csv")
D
flavors_df + read_csv("flavors_of_cacao.csv")
