The correct answer is D. All of the mentioned.
A DataFrame is a two-dimensional data structure with columns and rows. It is a powerful tool for storing and analyzing data. A Character Vector is a one-dimensional data structure that stores strings. It is a good choice for storing data that is text-based. A Panel is a three-dimensional data structure that stores data in multiple dimensions. It is a good choice for storing data that is hierarchical or time-series data.
When you read a CSV file into R, you will get a DataFrame, a Character Vector, or a Panel, depending on the structure of the data in the file. If the file has a header row, then you will get a DataFrame. If the file does not have a header row, then you will get a Character Vector. If the file has multiple sheets, then you will get a Panel.
Here is an example of how to read a CSV file into R:
“`
library(readr)
df <- read_csv(“data.csv”)
“`
This will read the CSV file data.csv and store it in a DataFrame called df.
Here is an example of how to read a CSV file without a header row into R:
“`
library(readr)
df <- read_csv(“data.csv”, header = FALSE)
“`
This will read the CSV file data.csv and store it in a Character Vector called df.
Here is an example of how to read a CSV file with multiple sheets into R:
“`
library(readr)
df <- read_csv(“data.csv”, sep = “;”, sheet = “Sheet1”)
“`
This will read the CSV file data.csv and store it in a Panel called df.