Statistics and Data Visualization Using R: The Art and Practice of Data Analysis

Author:   David S. Brown
Publisher:   SAGE Publications Inc
ISBN:  

9781544333861


Pages:   616
Publication Date:   08 November 2021
Format:   Paperback
Availability:   In stock   Availability explained
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Statistics and Data Visualization Using R: The Art and Practice of Data Analysis


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Full Product Details

Author:   David S. Brown
Publisher:   SAGE Publications Inc
Imprint:   SAGE Publications Inc
Weight:   1.140kg
ISBN:  

9781544333861


ISBN 10:   1544333862
Pages:   616
Publication Date:   08 November 2021
Audience:   College/higher education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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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


Author Information

David Brown is a Professor and Divisional Dean of Social Sciences at the University of Colorado Boulder.

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