Importing Common Data File Formats: R Playbook
Course info
Course info
Description
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 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.
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Section Introduction Transcripts
Course Overview
Hi, everyone. My name is Jason Browning, and I am the Executive Director of Institutional Effectiveness at Dixie State University in St. George, Utah. Welcome to my course, Importing Common Data File Formats: an R Playbook. To help facilitate data analysis, R provides the powerful ability to import data from many different sources. This course is an introduction to using R to import data from several common formats. If you have a basic familiarity with R, this course is for you. Some of the major topics that we will cover include best practices for data, how to make sure data are imported properly, importing CSV files, how to work with CSV and other delimited text files, importing Excel files, how to import files from Microsoft Excel and format these data, importing statistical files, how to use files from the SAS, Stata, and many tab applications, and importing R objects, how to save and reuse objects within the R application itself. By the end of this course, you'll have a solid understanding of how to import data from these various formats into R. Perhaps you've run into limitations when you don't have the software needed to read proprietary files. No more. Armed with the knowledge you'll gain in this course, you'll be able to conduct more sophisticated analyses and projects using data from a myriad of sources and applications. I hope you'll join me on this journey to learn about importing files with my course, Importing Common Data File Formats: an R Playbook, at Pluralsight.