Managing Data in R Using Data Frames from Pluralsight

Learn how to use and reshape data frames in R. The course also covers common alternatives to the data frame like tibble and data table.

Learn to work with very popular and versatile tabular data types in R. When using R, there is no way around the data frame and its alternatives. In this course, Managing Data in R Using Data Frames, you will learn that tabular data (data.frame, data.table, tibble) are the standard data type in R and most of the analyses performed in R use this data format. First, you will discover how to manipulate and reshape a raw data frame. Then, you will explore the common tasks such as table import, factor conversion, formatting of a table header, orientation in a table, column splits, column removal and addition, fusion of multiple tables, variable transformations, query, as well as export of a table. Finally, you will produce a clean data frame which can be used for detailed analysis or passed on to team members.

When you complete this course, you’ll have the skills and knowledge to perform standard tasks on data frames and can understand the many advantages of a data frame.

What's inside

Syllabus

Course Overview

Understanding the Concepts Behind a Data Frame

Exploring a Data Frame

Making Changes to a Data Frame

Continuing your Learning Path and Summary

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for students looking to strengthen their existing foundation with managing data in R

Covers common alternatives to the data frame, like tibble and data table

Taught by an experienced instructor, Martin Burger

Explores fundamental data manipulation and reshaping techniques

Provides guidance on common tasks like table import and data formatting

Could benefit from hands-on exercises or interactive materials

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Managing Data in R Using Data Frames with these activities:

Review tabular data structures

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Refresh your understanding of tabular data structures to build a stronger foundation for this course.

Browse courses on Data Frames

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Read the documentation on data frames in R

Watch tutorials on data manipulation in R

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Enhance your data manipulation skills by following guided tutorials on the subject.

Browse courses on Data Manipulation

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Search for tutorials on data manipulation in R
Select a tutorial that aligns with your skill level and learning preferences
Follow the tutorial step-by-step, practicing the techniques demonstrated

Contribute to an open-source data manipulation library

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Expand your knowledge by contributing to the development of a data manipulation library.

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Identify an open-source data manipulation library
Familiarize yourself with the library's codebase and documentation
Identify areas where you can contribute your skills and knowledge
Make a pull request with your contributions

Show all three activities

Career center

Learners who complete Managing Data in R Using Data Frames will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists combine programming, mathematics and statistics to extract knowledge from data. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Data Scientist as it introduces the concepts surrounding organizing and reshaping data. This course can help build a foundation for the roles and responsibilities typically expected of a Data Scientist.

See salaries and explore the career path for Data Scientist

Data Engineer

Data Engineers build, maintain, and manage the infrastructure that processes large amounts of data. They use their expertise in data management and programming to develop solutions that can handle the complex challenges of big data. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Data Engineer as it teaches how to use and reshape data frames. It also introduces the common alternatives to the data frame such as tibble and data table.

See salaries and explore the career path for Data Engineer

Data Analyst

Data Analysts use their knowledge of data organization and data analysis to clean and interpret data. They turn raw data into useful information that can help their organization make better decisions. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Data Analyst as it teaches how to manipulate and reshape a raw data frame. Additionally, it provides a granular understanding of some of the challenges facing those who work with data including table import, factor conversion, and variable transformations.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians use mathematical and statistical techniques to collect, analyze, interpret, and present data. They work with data from a variety of sources to help businesses, organizations, and governments make informed decisions. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Statistician as it provides a detailed overview of how to manipulate and reshape data frames. It also covers some of the tasks involved in working with data, such as table import, factor conversion, and variable transformations.

See salaries and explore the career path for Statistician

Market Researcher

Market Researchers collect, analyze, and interpret data to help businesses understand their customers and make informed decisions about their products and services. They use a variety of methods to collect data, including surveys, interviews, and focus groups. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Market Researcher as it teaches how to organize and reshape data. It also provides a granular understanding of some of the challenges facing those who work with data including table import, factor conversion, and variable transformations.

See salaries and explore the career path for Market Researcher

Business Analyst

Business Analysts use their understanding of business processes and data analysis to help organizations improve their performance. They work with stakeholders to identify problems, analyze data, and develop solutions that can help the organization achieve its goals. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Business Analyst as it teaches how to organize and reshape data. It also provides a granular understanding of some of the challenges facing those who work with data including table import, factor conversion, and variable transformations.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use their understanding of mathematics and statistics to help organizations improve their operations. They work with data from a variety of sources to identify problems, analyze data, and develop solutions that can help the organization achieve its goals. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Operations Research Analyst as it teaches how to organize and reshape data. It also provides a granular understanding of some of the challenges facing those who work with data including table import, factor conversion, and variable transformations.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts use their understanding of finance and economics to analyze financial data and make recommendations for investment decisions. They work with a variety of financial data, including stock prices, bond yields, and economic indicators. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Financial Analyst as it teaches how to organize and reshape data. It also provides a granular understanding of some of the challenges facing those who work with data including table import, factor conversion, and variable transformations.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use their understanding of mathematics, statistics, and finance to assess risk and uncertainty. They work with a variety of data to develop models that can help businesses and organizations make informed decisions about their future. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Actuary as it teaches how to organize and reshape data. It also provides a granular understanding of some of the challenges facing those who work with data including table import, factor conversion, and variable transformations.

See salaries and explore the career path for Actuary

Information Security Analyst

Information Security Analysts design and implement security measures to protect data and information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with a variety of security technologies and practices to ensure that data is kept safe and secure. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Information Security Analyst as it provides a detailed overview of how to manipulate and reshape data in R. While many Information Security Analysts may not work directly with R, it still may be helpful for them to have a basic understanding of the language.

See salaries and explore the career path for Information Security Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of their users. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Software Engineer as it provides a detailed overview of how to manipulate and reshape data in R. While many Software Engineers may not work directly with data, they need to understand how to do so as their work will likely involve interacting with databases.

See salaries and explore the career path for Software Engineer

Data Architect

Data Architects design and manage the architecture of data systems. They work with a variety of stakeholders to ensure that data is organized and managed in a way that meets the needs of the organization. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Data Architect as it provides a detailed overview of how to manipulate and reshape data in R. While many Data Architects may not work directly with R, it still may be helpful for them to have a basic understanding of the language.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators design, implement, and maintain databases. They work with a variety of database technologies to ensure that data is stored and managed efficiently. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Database Administrator as it provides a detailed overview of how to manipulate and reshape data in R. While many Database Administrators may not work directly with R, it still may be helpful for them to have a basic understanding of the language.

See salaries and explore the career path for Database Administrator

Computer Scientist

Computer Scientists design, develop, and implement computer systems and applications. They work with a variety of programming languages and technologies to create solutions to real-world problems. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Computer Scientist as it provides a detailed overview of how to manipulate and reshape data frames in R. While many Computer Scientists may not work directly with data, they need to understand how to do so as their work may be tangentially related to data.

See salaries and explore the career path for Computer Scientist

Web Developer

Web Developers design and develop websites and web applications. They work with a variety of programming languages and technologies to create websites that are both visually appealing and functional. This course, Managing Data in R Using Data Frames, may be useful for an aspiring Web Developer as it provides a detailed overview of how to manipulate and reshape data frames in R. While many Web Developers may not work directly with data, they need to understand how to do so as their work will likely involve interacting with databases.

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Managing Data in R Using Data Frames

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