Welcome! In this unit, you'll learn the fundamental skills to create and inspect data frames in R. Data frames are one of the most important structures for handling tabular data, making them essential for data analysis and manipulation. While this might sound new for some of you, remembering a few key concepts from before will make this easier. Let’s dive in!

In this lesson, you will:

• Create a Data Frame: Start by assembling a simple data frame to hold your tabular data.
• Inspect the Data Frame: Learn how to view and access different parts of a data frame using R.

Here's a simple example that illustrates these points:

R
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1# Create a data frame
2df <- data.frame(
3  ID = 1:5,
4  Name = c("John", "Jane", "Alex", "Emily", "David"),
5  Age = c(28, 22, 35, 29, 40)
6)
7
8# Display the data frame
9print(df)
10
11# Access the 'Name' column
12print(df$Name)
13
14# Access the second row
15print(df[2, ])

The data frame df holds the following tabular data:

• ID: A sequence of numbers from 1 to 5, uniquely identifying each person.
• Name: The names of five individuals.
• Age: The ages of these individuals in years.

Data frames are versatile structures that can hold different types of data, such as numbers, characters, and even other dataframes, all within the same object. This flexibility makes them powerful for data analysis, enabling the handling and manipulation of diverse information in a single, unified structure.

This format is useful because it organizes data in a table with rows and columns, making it easy to manage and analyze different types of data together. You can easily access specific columns or rows for more targeted data manipulation and analysis.

Understanding how to create and inspect data frames is crucial for anyone working with data in R. Data frames let you store and manage your data efficiently. By mastering these basic operations, you can quickly move on to more complex data manipulations and analyses. Whether you are dealing with real-world data from a survey, an experiment, or a business report, knowing how to create and inspect data frames will be your foundation for effective data handling.

Excited to get started? Let’s move on to the practice section and work on creating and inspecting your own data frames.