From the course: Data Wrangling in R
Preparing for data wrangling
From the course: Data Wrangling in R
Preparing for data wrangling
- [Mike] Hi, I'm Mike Chapple. And I'd like to welcome you to this course on Data Wrangling in R. R is an extremely powerful language used by data scientists, analysts, and business users to perform statistical analysis, visualization and machine learning in a wide variety of fields. In this course, I'll explain how you can use R to perform data wrangling using concepts drawn from the field of tidy data. You'll learn about a set of tools known as the Tidy-verse that allows you to import data for a wide variety of sources, transform it to a standardized format, and then clean it before performing your analysis. I'll begin by covering the basic concepts of Tidy data, and then conclude with three detailed case studies that will help you learn how to apply Tidy data concepts to your own projects. You'll finish this course with a solid understanding of this important work. All right, let's get rolling.
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