Share
Statistics and Data Visualization Using R
The Art and Practice of Data Analysis
August 2021 | 616 pages | SAGE Publications, Inc
Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop intuition around statistics as well as data visualization skills. By focusing on the visual nature of statistics instead of mathematical proofs and derivations, students can see the relationships between variables that are the foundation of quantitative analysis. Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the private sector, or academia. Starting at the most basic introduction to data and going through most crucial statistical methods, this introductory textbook quickly gets students new to statistics up to speed running analyses and interpreting data from social science research.
Preface
Acknowledgments
About the Author
Chapter 1: Getting Started
Chapter 2: An Introduction to Data Analysis
Chapter 3: Describing Data
Chapter 4: Central Tendency and Dispersion
Chapter 5: Univariate and Bivariate Descriptions of Data
Chapter 6: Transforming Data
Chapter 7: Some Principles of Displaying Data
Chapter 8: The Essentials of Probability Theory
Chapter 9: Confidence Intervals and Testing Hypotheses
Chapter 10: Making Comparisons
Chapter 11: Controlled Comparisons
Chapter 12: Linear Regression
Chapter 13: Multiple Regression
Chapter 14: Dummies and Interactions
Chapter 15: Diagnostics I: Is Ordinary Least Squares Appropriate?
Chapter 16: Diagnostics II: Residuals, Leverages, and Measures of Influence
Chapter 17: Logistic Regression
Appendix: Developing Empirical Implications
Glossary
References
Index
Supplements
Instructor Website
edge.sagepub.com/brownstats1e
You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.
edge.sagepub.com/brownstats1e
For additional information, custom options, or to request a personalized walkthrough of these resources, please contact your sales representative.
LMS cartridge included with this title for use in Blackboard, Canvas, Brightspace by Desire2Learn (D2L), and Moodle
The LMS cartridge makes it easy to import this title’s instructor resources into your learning management system (LMS). These resources include:
- Test banks
- Editable chapter-specific PowerPoint® slides
- All tables and figures from the textbook
You can still access all of the same online resources for this title via the password-protected Instructor Resource Site.
Student Website
edge.sagepub.com/brownstats1e
The open-access Student Study Site makes it easy for students to maximize their study time, anywhere, anytime. It offers datasets and code for use in R.
Very good book for explain R for students!
Gatton College of Business & Economics, University Of Kentucky
December 2, 2022
The book is an essential reading recommendation for the module as it details the application of R programming language in data visualisation and provides the fundamental statistical knowledge needed for a new student to the world of data analytics. Using this book in the module will help students develop the necessary data analytics knowledge and skills in a friendly and incremental manner.
Cardiff School of Management, Cardiff Metropolitan University
July 11, 2023
