Validating Data Using Asserts in R
Offered By: Pluralsight
Course Description
Overview
Verifying that your data meet certain assumptions can be key to the success of your analytics or programming project. This course will introduce assertions, a functional tool that allows you to verify assumptions about your data.
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.
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.
Taught by
Jason Browning
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