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.
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 a data and analytics consultant in the higher education sector. Welcome to my course, Validating Data using Asserts in R. Working with clean data and verifying that your data meet certain assumptions can be key to the success of your analytics project. This course will introduce assertions, a useful computer science concept that can be used to prescribe and perform validation checks on your data. If you have an understanding of how to work with data objects in R and how to use a logical conditions, this course is for you. Some of the major topics that we will cover include what are asserts, how assertions can help to verify assumptions about your data; column‑wise asserts, how to verify data elements stored in columns; row‑wise asserts, how to verify data elements stored in rows; and data frame asserts, how to verify properties of the entire dataset. By the end of this course, you'll have a solid understanding of how to implement assertion testing to validate your data. Armed with the knowledge you'll gain in this course, you'll be able to program defensively to ensure that data used for analysis or functional arguments meet your criteria. I hope you'll join me on this journey to learn about assertions with my course, Validating Data Using Asserts in R, only at Pluralsight.