To create effective analyses, it is critical that your data be as clean as it can be. In this course, Validating Data Using Asserts in R, you will learn about assertions and how these functions can be used to validate your data. First, you will explore the theory behind assertions and how they can be applied to rows, columns, and data frames. Next, you will discover how to apply your own criteria and conditional logic using assertions. Finally, you will learn how to chain together multiple assertions to create robust data validation checks. When you are finished with this course, you will have a solid understanding of how to implement assertion testing to validate your data.
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
• Introducing Asserts
  5mins
• Validating Elements in a Column
  10mins
• Validating Elements Using the Column as a Whole
  7mins
• Validating Rows in a Dataset
  12mins
• Validating a Data Frame
  11mins
• Summary
  8mins