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R Data Frames:


In R, a data frame is like a table or a spreadsheet in which you can store data. It's a two-dimensional data structure where rows represent observations and columns represent variables or attributes.

Let's understand data frames with an example:

Example

# Creating a data frame
my_df <- data.frame(
Name = c("John", "Alice", "Bob"),
Age = c(30, 25, 35),
Gender = c("Male", "Female", "Male"),
Married = c(TRUE, FALSE, TRUE)
)

# Printing the data frame
print(my_df)

In this example:

The resulting data frame will look like this:

Example

Name Age Gender Married
1 John 30 Male TRUE
2 Alice 25 Female FALSE
3 Bob 35 Male TRUE

Each row represents an observation (e.g., a person in this case), and each column represents a variable or attribute (e.g., name, age, gender, marital status).

Data frames are widely used for data analysis, manipulation, and visualization in R. They provide a convenient way to work with structured data, such as data imported from spreadsheets, databases, or other sources.


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