Summary  
Data frames are two-dimensional data structures with named columns that can hold mixed data types, and R provides built-in datasets stored as data frames or matrices for convenient access.

General domain of usage  
Data analysis

A **data frame** is a **two-dimensional** data structure similar to a matrix, but with one key difference: a data frame can store different data types in its columns.

Definition

## Main Properties
- Like matrices, each element in a data frame is located at the intersection of a row and a column;
- Unlike matrices, columns in a data frame must always have names;
- Data frames are commonly used for storing datasets in R, where different columns represent variables of different types.

## Built-in Datasets
R provides many built-in datasets, some stored as matrices (only numeric data) and others as data frames (mixed data types).

Gain a solid understanding of R, one of the most widely used languages for data analysis. Explore fundamental data types and one-dimensional values, then advance to multi-dimensional structures, including matrices, data frames, and lists. Build the skills needed to apply R effectively in statistical analysis and data-driven decision-making.

Learn the essentials of R syntax, such as arithmetic, variables, printing functions, and comments. Strengthen your understanding of computational logic through exercises.

Explore R's data types and understand their role in data handling. Build skills in working with vectors as essential structures for organizing and analyzing information.

Develop the ability to manage categorical data effectively. Discover how to structure, group, and interpret values by converting raw data into clear categories.

Understand how to represent and work with structured two-dimensional data. Build confidence in transforming, labeling, and applying operations to matrices for analytical tasks.

Master the most widely used data structure in R for tabular information. Learn to organize, transform, and extract insights from datasets to support data-driven decisions.

Learn how lists extend beyond vectors by storing elements of different types and lengths. Develop the ability to create, access, and modify lists for organizing complex data structures.

Understanding Data Frames

Main Properties

Built-in Datasets

Solution

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Understanding Data Frames

Main Properties

Built-in Datasets

Solution