Creating Good Data : A Guide to Dataset Structure and Data Representation / by Harry J. Foxwell.
2020
QA75.5-76.95
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Details
Title
Creating Good Data : A Guide to Dataset Structure and Data Representation / by Harry J. Foxwell.
Author
Foxwell, Harry J., author.
Edition
1st ed. 2020.
ISBN
9781484261033
1484261038
9781484261033
148426102X
9781484261026
1484261038
9781484261033
148426102X
9781484261026
Published
Berkeley, CA : Apress : Imprint: Apress, 2020.
Language
English
Description
1 online resource (XV, 105 pages) : illustrations.
Call Number
QA75.5-76.95
Dewey Decimal Classification
005.7
Summary
Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data. Data analysts are often presented with datasets for exploration and study that are poorly designed, leading to difficulties in interpretation and to delays in producing meaningful results. Much data analytics training focuses on how to clean and transform datasets before serious analyses can even be started. Inappropriate or confusing representations, unit of measurement choices, coding errors, missing values, outliers, etc., can be avoided by using good dataset design and by understanding how data types determine the kinds of analyses which can be performed. This book discusses the principles and best practices of dataset creation, and covers basic data types and their related appropriate statistics and visualizations. A key focus of the book is why certain data types are chosen for representing concepts and measurements, in contrast to the typical discussions of how to analyze a specific data type once it has been selected. You will: Be aware of the principles of creating and collecting data Know the basic data types and representations Select data types, anticipating analysis goals Understand dataset structures and practices for analyzing and sharing Be guided by examples and use cases (good and bad) Use cleaning tools and methods to create good data.
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Access limited to authorized users.
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text file PDF
Available in Other Form
Print version: 9781484261040
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Table of Contents
Chapter 1: The Need for Good Data
Chapter 2: Basic Data Types and When to Use Them
Chapter 3: Representing Quantitative Data
Chapter 4: Planning Your Data Collection and Analysis
Chapter 5: Good Datasets
Chapter 6: Good Data Collection
Chapter 7: Dataset Examples and Use Cases
Chapter 8: Cleaning your Data
Chapter 9: Good Data Anayltics
Appendix A: Recommended Reading.
Chapter 2: Basic Data Types and When to Use Them
Chapter 3: Representing Quantitative Data
Chapter 4: Planning Your Data Collection and Analysis
Chapter 5: Good Datasets
Chapter 6: Good Data Collection
Chapter 7: Dataset Examples and Use Cases
Chapter 8: Cleaning your Data
Chapter 9: Good Data Anayltics
Appendix A: Recommended Reading.