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Importing Common Data File Formats: R 4 Playbook

by Jason Browning, Ph.D.

Whether the common CSV or Excel file, or files from specialized statistical applications, R allows you to import data from a variety of sources. This course will show you how to import data from a variety of formats into R for further analysis.

What you'll learn

To effectively analyze and manipulate data, it is important to have the ability to access data stored in various formats. In this course, Importing Common Data File Formats: R 4 Playbook, you will gain the ability to import data from various sources into R. First, you will learn how to import data from CSV and delimited text files. Next, you will discover how to import and format data from Microsoft Excel. Then, you will explore how to import data from specialized statistical applications, including SAS, Stata, and Minitab. Finally, you'll learn about the ability to create, save, and reuse objects in R itself. When you are finished with this course, you will have the knowledge of base R functions and various packages to easily work with data from a variety of sources.

About the author

Jason Browning is a data and analytics professional with extensive experience in both the public and private sector. As a Tableau Desktop Certified Professional, Jason loves to build data visualizations that both inform and inspire. He is capable of wrangling messy data both inside and outside of Tableau, and using SQL to perform complex queries. He works in higher education as a data governance and management consultant, and holds a Ph.D. in higher education administration from the University o... more

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