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.
Author Name: Jason Browning, Ph.D.
Author Description:
Jason Browning is a data and analytics professional with extensive experience in both the public and private sector, currently serving as the chief data officer at Montana State University. 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 holds a Ph.D. in higher education administration from the University of Wy… more

Table of Contents

• Course Overview
  1min
• Importing Data from Diverse Sources
  13mins
• Importing Data from Microsoft Excel
  9mins
• Refining the Microsoft Excel Import
  13mins
• Formatting the Microsoft Excel Import
  12mins
• Importing Data from SAS
  8mins
• Importing Data from Other Statistical Software
  9mins
• Importing Data from R
  8mins