Description
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 (R) 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.
About the Author
David Brown is a Professor and Divisional Dean of Social Sciences at the University of Colorado Boulder.
Reviews
This book provides a well-written approach to beginning to intermediate-level statistical principles using the R statistical language. It provides some mathematical formulas to help students understand the underlying principles of statistics. It has many excellent social science examples. It provides the statistical understanding with a practical approach to using the most valuable statistical tool-R. Please consider it. I have been looking for a good social science textbook using R-this may be the best so far. -- Jeffrey D. Stone
This text successfully presents an introduction to data analysis using R in a highly approachable manner. The use of easy-to-follow examples and conceptual linkage across chapters makes this an outstanding option for undergraduate and graduate stats courses in the social sciences. -- Joseph Nedelec
A great text with in-depth coverage of statistics concepts with helpful R code segments. Great installation directions and rationale for use of R programming versus others. -- Esther Pearson
This text takes students on a journey through introductory and intermediate statistical methods along with R programming to accomplish the descriptive and inferential statistics. Images of RStudio and samples of R code are woven throughout the text to help students follow along. -- Galen I. Papkov
An accessible book for any student to learn data analysis, even without a strong math background. It is a student-friendly book that is easy to read, with knowledge checks as the student reads along, and there are great code examples and visualizations that will greatly engage the student. -- Catherine Garcia
Book Information
ISBN 9781544333861
Author David S. Brown
Format Paperback
Page Count 616
Imprint SAGE Publications Inc
Publisher SAGE Publications Inc
Weight(grams) 1320g
About the Author
David Brown is a Professor and Divisional Dean of Social Sciences at the University of Colorado Boulder.
Reviews
This book provides a well-written approach to beginning to intermediate-level statistical principles using the R statistical language. It provides some mathematical formulas to help students understand the underlying principles of statistics. It has many excellent social science examples. It provides the statistical understanding with a practical approach to using the most valuable statistical tool-R. Please consider it. I have been looking for a good social science textbook using R-this may be the best so far. -- Jeffrey D. Stone
This text successfully presents an introduction to data analysis using R in a highly approachable manner. The use of easy-to-follow examples and conceptual linkage across chapters makes this an outstanding option for undergraduate and graduate stats courses in the social sciences. -- Joseph Nedelec
A great text with in-depth coverage of statistics concepts with helpful R code segments. Great installation directions and rationale for use of R programming versus others. -- Esther Pearson
This text takes students on a journey through introductory and intermediate statistical methods along with R programming to accomplish the descriptive and inferential statistics. Images of RStudio and samples of R code are woven throughout the text to help students follow along. -- Galen I. Papkov
An accessible book for any student to learn data analysis, even without a strong math background. It is a student-friendly book that is easy to read, with knowledge checks as the student reads along, and there are great code examples and visualizations that will greatly engage the student. -- Catherine Garcia
Book Information
ISBN 9781544333861
Author David S. Brown
Format Paperback
Page Count 616
Imprint SAGE Publications Inc
Publisher SAGE Publications Inc
Weight(grams) 1320g
