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Scenario 1 , continued Before you begin working with your data, you need to import it and save it as a data frame. To get

Scenario 1, continued
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. directory. What code chunk lets you create the data frame?
chocolate_df + read_csv("flavors_of_cacao.csv")
chocolate_df - "flavors_of_cacao.csv"(read_csv)
chocolate_df -read_csv("flavors_of_cacao.csv")
read_csv("flavors_of_cacao.csv")+ chocolate_df
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