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Reshaping Data with R

Okan Bulut

Reshaping data is an important step in data management and organization. Statistical methods or data visualization techniques require data to be either wide or long. This course focuses on how to reshape data into wide and long formats using R.

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Reshaping data is an important step in data management and organization. Statistical methods or data visualization techniques require data to be either wide or long. This course focuses on how to reshape data into wide and long formats using R.

Have you ever thought about the format of data you are dealing with? Is it long or wide? Which format is better for your analysis? In this course, Reshaping Data with R, you will gain the ability to reshape and aggregate data using the R programming language. First, you will learn how to transform wide-format data into long-format data. Next, you will discover how to reshape data from long format to wide format. Finally, you will explore how to aggregate data with and without group variables. When you are finished with this course, you will have the skills and knowledge of reshaping data needed to manage your data more effectively for statistical analysis and data visualization. Software required: R*

This course is no longer available. Find something similar by browsing:

Data Reshaping R Programming Data Management Data Analysis Data Visualization Data Aggregation

What's inside

Syllabus

Course Overview

Introduction

Reshaping Wide Data to Long Data

Reshaping Long Data to Wide Data

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Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops foundational skills by teaching how to reshape data into wide and long formats

Taught by Okan Bulut, an expert in data management and organization

Relevant for statisticians and data visualization practitioners who need to reshape data for analysis

Requires learners to come in with some understanding of data management concepts

Focuses on the R programming language, which may not be suitable for learners who are unfamiliar with it

Does not provide hands-on exercises or interactive materials

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Reviews summary

Practical r data reshaping skills

According to learners, this course receives largely positive feedback for its ability to deliver practical R data reshaping skills. Students particularly praise its incredibly focused and practical approach to mastering tidyr functions like pivot_wider and pivot_longer. The course is noted for its clear explanations and effective hands-on exercises and demos, making complex concepts accessible. It provides a solid foundation for data analysts, especially for those looking to apply skills immediately. While deemed concise and to the point, some suggest it could benefit from deeper exploration of complex scenarios or advanced techniques for very experienced users.

Provides a solid foundation but could explore more advanced scenarios.

"I felt some parts could have gone a bit deeper, especially regarding complex real-world scenarios or performance considerations for very large datasets."

"I was hoping for more advanced techniques or common pitfalls to avoid. The examples were a bit too simple."

"My suggestion would be to add a bit more on how to troubleshoot common errors or perhaps a section on integrating with other `dplyr` functions..."

Instructor provides clear explanations, making concepts easy to grasp.

"The instructor explains well."

"The concepts of wide vs. long format were made so clear."

"The `instructor` is clear and provides good explanations."

Equips learners with directly applicable data analysis skills.

"This course is incredibly focused and practical. ... The examples are clear and build upon each other. I particularly appreciated the hands-on exercises..."

"Absolutely brilliant! ... The `hands-on activities` really helped cement the knowledge. This course directly applies to my work in data analysis."

"I learned how to use practical tools and strategies that I could apply immediately to my work."

Effectively covers essential R functions for data reshaping.

"It dives deep into `tidyr` functions like `pivot_wider` and `pivot_longer`, which are essential for any data analyst using R."

"Excellent course for understanding `pivot_wider` and `pivot_longer`. Before this, I struggled with data formats, but now I feel very confident."

"I learned a lot about `pivot_longer` and `pivot_wider`. It’s a good quick refresher for experienced users or solid introduction for new ones."

Best suited for learners with some prior R experience.

"My only minor critique is that sometimes the pace felt a little fast if you're not already comfortable with R syntax, but manageable."

"The course content is basic, and I found it hard to follow without more R background. It assumes some familiarity that isn't clearly stated."

"It's okay if you're a complete beginner, but if you have some experience, it might feel a bit too introductory."

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 Reshaping Data with R with these activities:

Reshaping Data with R - Tutorial

Show steps

Complete a tutorial on reshaping data with R. This tutorial will help you get up to speed with the R functions you will need in this course

Show steps

Find a tutorial on reshaping data with R
Follow the tutorial and complete the exercises

Practice Data Reshaping with R

Show steps

Practice reshaping data with R. This will help you reinforce concepts covered in the course and strengthen your skills

Show steps

Find a dataset to work with
Reshape the data using R functions
Verify that the data was reshaped correctly

Study Group - Reshaping Data

Show steps

Join a study group to review the concepts and practice reshaping data with R. This will provide you with an opportunity to share knowledge and learn from others.

Show steps

Find a study group or form one with classmates
Meet regularly to discuss course material and work on practice problems

One other activity

Expand to see all activities and additional details

Show all four activities

Advanced R, Second Edition

Show steps

Read this book to supplement your learning in this course. It provides a comprehensive overview of R programming, including advanced techniques for data reshaping.

View R for Data Science: Import, Tidy, Transform,... on Amazon

Show steps

Read the book's chapters on data reshaping
Complete the exercises at the end of each chapter

Career center

Learners who complete Reshaping Data with R will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts use their knowledge of data analysis tools and methodologies to interpret data and draw conclusions, which can help businesses make better decisions. This course can help you develop some of the foundational skills you need to succeed in this role by teaching you how to wrangle, reshape, and aggregate data. You will learn how to transform data from wide format to long format and vice versa. You will also learn how to reshape data with and without group variables.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their knowledge of statistics, programming, and machine learning to build models that can predict future outcomes. This course can help you build a foundation in data analysis, which will help you develop the skills you need to perform your job. You will learn how to reshape data into the format that is most appropriate for your analysis.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers apply their knowledge of machine learning algorithms and techniques to develop and deploy machine learning models. This course can help you build a foundation in data analysis, which is a critical skill for this role. You will learn how to reshape data into the format that is most appropriate for your model.

See salaries and explore the career path for Machine Learning Engineer

Statistician

Statisticians use their knowledge of statistics to collect, analyze, and interpret data. This course can help you provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your analysis.

See salaries and explore the career path for Statistician

Data Visualization Engineer

Data Visualization Engineers use their knowledge of data visualization tools and techniques to create visualizations that communicate data effectively. This course can help you build a foundation in data analysis, which will help you develop the skills you need to perform your job. You will learn how to reshape data into the format that is most appropriate for your visualization.

See salaries and explore the career path for Data Visualization Engineer

Business Analyst

Business Analysts use their knowledge of business analysis techniques to identify and solve business problems. This course can help you develop some of the foundational skills you need to succeed in this role by teaching you how to wrangle, reshape, and aggregate data. You will learn how to transform data from wide format to long format and vice versa. You will also learn how to reshape data with and without group variables.

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers use their knowledge of data engineering tools and techniques to build and maintain data pipelines. This course may provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your pipeline.

See salaries and explore the career path for Data Engineer

Data Architect

Data Architects use their knowledge of data architecture principles and practices to design and implement data management solutions. This course may provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your solution.

See salaries and explore the career path for Data Architect

Database Administrator

Database Administrators use their knowledge of database administration tools and techniques to maintain and optimize databases. This course may provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your database.

See salaries and explore the career path for Database Administrator

Market Researcher

Market Researchers use their knowledge of market research techniques to collect and analyze data about markets. This course can help you develop some of the foundational skills you need to succeed in this role by teaching you how to wrangle, reshape, and aggregate data. You will learn how to transform data from wide format to long format and vice versa. You will also learn how to reshape data with and without group variables.

See salaries and explore the career path for Market Researcher

Financial Analyst

Financial Analysts use their knowledge of financial analysis techniques to evaluate and make recommendations on investment opportunities. This course may provide you with the skills in data analysis you need to succeed in this role. You will learn how to reshape data into the format that is most appropriate for your analysis.

See salaries and explore the career path for Financial Analyst

Data Journalist

Data Journalists use their knowledge of data journalism techniques to tell stories with data. This course can help you develop some of the foundational skills you need to succeed in this role by teaching you how to wrangle, reshape, and aggregate data. You will learn how to transform data from wide format to long format and vice versa. You will also learn how to reshape data with and without group variables.

See salaries and explore the career path for Data Journalist

Actuary

Actuaries use their knowledge of actuarial science to assess and manage risk. This course may be useful in this field as it can provide you with skills in data analysis. You will learn how to reshape data into the format that is most appropriate for your analysis.

See salaries and explore the career path for Actuary

Operations Research Analyst

Operations Research Analysts use their knowledge of operations research techniques to improve the efficiency and effectiveness of operations. This course may be useful in this field as it can provide you with skills in data analysis. You will learn how to reshape data into the format that is most appropriate for your analysis.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

Quantitative Analysts use their knowledge of quantitative analysis techniques to develop and implement quantitative models. This course may be useful in this field as it can provide you with skills in data analysis. You will learn how to reshape data into the format that is most appropriate for your model.

See salaries and explore the career path for Quantitative Analyst

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Reshaping Data with R.

Cover image

Cover image

Handbook of Educational Measurement and...

Save

Provides a comprehensive guide to data reshaping in R, and it is an excellent resource for learners who want to learn more about this topic.

Handbook of Educational Measurement and...

Handbook of Educational Measurement and...

Cover image

Cover image

Data Manipulation with R

Save

Provides a comprehensive overview of data manipulation techniques in R, including reshaping data, which is the focus of this course.

Data Manipulation with R (Use R!)

Data Manipulation with R (Use R!)

Cover image

Cover image

R for Data Science

Save

Comprehensive guide to data science using R, and it includes a chapter on data reshaping.

R for Data Science: Import, Tidy, Transform,...

(Deutsch) R für Data Science: Daten importieren, bereinigen,...

Cover image

Cover image

Biochemistry and Molecular Biology Compendium

Save

Provides a comprehensive guide to data science using R, and it includes a chapter on data reshaping.

Biochemistry and Molecular Biology Compendium

Biochemistry and Molecular Biology Compendium

Cover image

Cover image

Save

Provides a comprehensive guide to data manipulation in R, including reshaping data.

Cover image

Cover image

Modern Data Visualization with R

Save

Provides a comprehensive guide to data analysis using R, and it includes a chapter on data reshaping.

Modern Data Visualization with R (Chapman &...

Cover image

Cover image

The Art of Machine Learning

Save

Provides a comprehensive guide to R programming, including a chapter on data reshaping. It good resource for learners who want to learn more about the fundamentals of R programming.

The Art of Machine Learning: A Hands-On Guide to...

The Art of Machine Learning: A Hands-On Guide to...

Cover image

Cover image

Save

Provides a collection of recipes for common data analysis tasks in R, including reshaping data.

R Cookbook: Proven Recipes for Data Analysis,...

R Cookbook: Proven Recipes for Data Analysis,...

Cover image

Cover image

Save

Provides a comprehensive guide to R programming, including a chapter on data reshaping. It good resource for learners who want to learn more about the fundamentals of R programming.

Cover image

Cover image

Save

Provides a gentle introduction to R programming, and it includes a chapter on data reshaping.

R for Everyone: Advanced Analytics and Graphics...

R for Everyone: Advanced Analytics and Graphics...

R for Everyone: Advanced Analytics and Graphics...

Unknown Binding

Cover image

Cover image

A Practical Guide to Data Analysis Using R

Save

Provides a concise reference card for R programming, and it includes a section on data reshaping.

A Practical Guide to Data Analysis Using R: An...

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Course image

Time

119 hours

Level

Intermediate

Via

Pluralsight

Instructor

Okan Bulut

Language

English

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Develops foundational skills by teaching how to reshape data into wide and long formats

Taught by Okan Bulut, an expert in data management and organization

Relevant for statisticians and data visualization practitioners who need to reshape data for analysis

Requires learners to come in with some understanding of data management concepts

Focuses on the R programming language, which may not be suitable for learners who are unfamiliar with it

Does not provide hands-on exercises or interactive materials

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