Before you begin working with your data, you need to import it and save it as a data frame. To get started, you open your RStudio workspace and load the tidyverse library. You upload a .csv file containing the data to RStudio and store it in a project folder named flavors_of_cacao.csv. You use the read_csv() function to import the data from the .csv file. Assume that the name of the data frame is chocolate_df and the .csv file is in the working directory. What code chunk lets you create the data frame?
a. bars_df <- read_csv ("flavors_of_cacao.csv")
b. bars_df %>8 read_csv ("flavors_of_cacao.csv").
c. read_csv ("flavors_of_cacao.csv") + bars_df.
d. bars_df + read_csv ("flavors_of_cacao.csv").

A data frame can be defined as a two-dimensional array-like structure or table with rows and columns, that is typically used for storing data in R programming language and R Studio.

Basically, a data frame refers to a list of vectors that are all equal in length and each column comprises values of one (1) variable while each row comprises a set of values from each column.

An executable code in R Studio.

In this scenario, the code chunk that would be used to create a data frame is bars_df <- read_csv ("flavors_of_cacao.csv");

bars_df is the name of the data frame for storing the data.

<- is an assignment operator and it assigns a value to the data frame.

read_csv() is a function that imports the data to the data frame.

"flavors_of_cacao.csv" represents the file name which the function read_csv() takes for its argument.

Read more on R Studio here: https://brainly.com/question/25558534