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What is a Data Frame? | Data Frames
R Introduction: Part II
course content

Course Content

R Introduction: Part II

R Introduction: Part II

1. Matrices
2. Data Frames
3. Lists

bookWhat is a Data Frame?

Let's move on to Data Frames. In general, the data frame in R is the same matrix allowing us to store values of different types. This aspect is the crucial difference.

Like in matrices, each element of the data frame has its 'address' among rows and columns. But unlike matrices, data frames must have names on their columns.

R provides us with tens of built-in datasets. Some can be represented as matrices (as they contain only numerical data), and some can be defined as data frames. Explore one of them by yourself!

Task

Explore the built-in mtcars dataset.

  1. Using class() function output class of mtcars.
  2. Output mtcars data frame.

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Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 1
toggle bottom row

bookWhat is a Data Frame?

Let's move on to Data Frames. In general, the data frame in R is the same matrix allowing us to store values of different types. This aspect is the crucial difference.

Like in matrices, each element of the data frame has its 'address' among rows and columns. But unlike matrices, data frames must have names on their columns.

R provides us with tens of built-in datasets. Some can be represented as matrices (as they contain only numerical data), and some can be defined as data frames. Explore one of them by yourself!

Task

Explore the built-in mtcars dataset.

  1. Using class() function output class of mtcars.
  2. Output mtcars data frame.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 2. Chapter 1
toggle bottom row

bookWhat is a Data Frame?

Let's move on to Data Frames. In general, the data frame in R is the same matrix allowing us to store values of different types. This aspect is the crucial difference.

Like in matrices, each element of the data frame has its 'address' among rows and columns. But unlike matrices, data frames must have names on their columns.

R provides us with tens of built-in datasets. Some can be represented as matrices (as they contain only numerical data), and some can be defined as data frames. Explore one of them by yourself!

Task

Explore the built-in mtcars dataset.

  1. Using class() function output class of mtcars.
  2. Output mtcars data frame.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Let's move on to Data Frames. In general, the data frame in R is the same matrix allowing us to store values of different types. This aspect is the crucial difference.

Like in matrices, each element of the data frame has its 'address' among rows and columns. But unlike matrices, data frames must have names on their columns.

R provides us with tens of built-in datasets. Some can be represented as matrices (as they contain only numerical data), and some can be defined as data frames. Explore one of them by yourself!

Task

Explore the built-in mtcars dataset.

  1. Using class() function output class of mtcars.
  2. Output mtcars data frame.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 2. Chapter 1
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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