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CompTIA Data+: DAO-001 Certification Guide

You're reading from   CompTIA Data+: DAO-001 Certification Guide Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804616086
Length 370 pages
Edition 1st Edition
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Author (1):
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Cameron Dodd Cameron Dodd
Author Profile Icon Cameron Dodd
Cameron Dodd
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Table of Contents (24) Chapters Close

Preface 1. Part 1: Preparing Data
2. Chapter 1: Introduction to CompTIA Data+ FREE CHAPTER 3. Chapter 2: Data Structures, Types, and Formats 4. Chapter 3: Collecting Data 5. Chapter 4: Cleaning and Processing Data 6. Chapter 5: Data Wrangling and Manipulation 7. Part 2: Analyzing Data
8. Chapter 6: Types of Analytics 9. Chapter 7: Measures of Central Tendency and Dispersion 10. Chapter 8: Common Techniques in Descriptive Statistics 11. Chapter 9: Hypothesis Testing 12. Chapter 10: Introduction to Inferential Statistics 13. Part 3: Reporting Data
14. Chapter 11: Types of Reports 15. Chapter 12: Reporting Process 16. Chapter 13: Common Visualizations 17. Chapter 14: Data Governance 18. Chapter 15: Data Quality and Management 19. Part 4: Mock Exams
20. Chapter 16: Practice Exam One 21. Chapter 17: Practice Exam Two 22. Index 23. Other Books You May Enjoy

Recoding variables

In this section, we will discuss all of the different ways you can recode variables to turn them into a format you can use. Recoded variables, as mentioned when we talked about derived variables, are a kind of derived variable. Instead of the focus being on summarizing data, the idea is to create a direct translation of a variable into a different format. This is how you turn quantitative variables into qualitative variables and vice versa. Recoding can try to make data easier to understand, but it is most often used because a certain analysis requires data to be in a specific format to run.

Recoding numbers into categories

When it comes to creating a category based on a number, ranges are the most common approach. Effectively, you are saying if the value of X is between A and B, it falls into this group, and if X is between B and C, it falls into this other group. Where specifically you make the cut-offs to set the ranges can get very complicated and is a...

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