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.
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.
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.
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 on our playbook To help facilitate data analysis are provides the powerful ability to import data from many different sources. This course is an introduction to using our to import data from several common formats. If you have a basic familiarity with our this course is for you, Some of the major topics that we will cover include best practices for data howto make sure data are imported properly importing C S V files howto work with C S V 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 status and many tab applications. And importing our objects how to save and reuse objects within the our application itself. By the end of this course, you'll have a solid understanding of how the import data from these various formats into our Perhaps you've run into limitations when you don't have the software needed to read proprietary files no more armed with the knowledge of 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 on our playbook at Pluralsight.