R Visualizations - Derive Meaning From Data

This book is focused on one of the two major topics of doing data analysis: data visualization, aka, computer graphics. In one place the major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate basic visualizations with any of R visualization systems.

List of contents

1. R, Data and Visualizations. 2. R Visualization Quick Start. 3. Customization. 4. Visualize the Distribution of a Categorical Variable. 5. Visualize the Distribution of a Continuous Variable. 6. Visualize the Distributions of Values over Time. 7. Visualize Spatial Data with Maps. 8. Visualize Three Dimensions. 9 Visualize Dimensionality Reduction. 10. Interactive Visualizations.

About the author

David W. Gerbing has a Quantitative Methods B.A. from Western Washington State College, and M.A. from Michigan State University, and a Ph.D. from Michigan State University. Dr. Gerbing teaches statistics, quantitative methods, and business research techniques. His research interests are in the areas of quantitative analysis, multivariate statistics, and behavioral measurement and assessment. Currently his primary interest is in the increasing the accessibility of the R programming language for data science so that non-programmers can access the free, open source data analysis system without a steep learning curve.

Summary

This book is focused on one of the two major topics of doing data analysis: data visualization, aka, computer graphics. In one place the major R systems for visualization are discussed, organized by topic and not by system. Anyone doing data analysis will be shown how to use R to generate basic visualizations with any of R visualization systems.

Product details

• Authors: David Gerbing, David (Portland State University Gerbing, David W. Gerbing
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 31.05.2020
• EAN: 9781138599635
• ISBN: 978-1-138-59963-5
• No. of pages: 250
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; REFERENCE / General, MATHEMATICS / Probability & Statistics / General, COMPUTERS / Reference, computer science, Probability & statistics, Mathematical & statistical software, Information technology: general issues, Probability and statistics, COMPUTERS / Data Science / Data Visualization, Mathematical and statistical software, COMPUTERS / Languages / Visual BASIC