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Statistics and Data Visualization Using R

The Art and Practice of Data Analysis

By: David S. Brown

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Paperback | 22 September 2021

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Paperback
616 Pages

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22 x 14 x 2.5

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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 their 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 more readily see the relationships between variables that are the foundation of quantitative analysis. Through incorporating R and 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 for large datasets, regression, Statistics and Data Visualization Using R quickly gets students new to statistics up to speed running analyses and interpreting data from social science research. This introductory textbook uses social science data from across the U.S. and around the world, from demographic data to opinion research on major social issues to demonstrate the value of statistics to students.

Each figure in the book is accompanied by a Code Chunk box that will reproduce the figure exactly as it’s shown. A copy-and-paste approach to R keeps the focus on the statistics and visualization components, emphasizing that students can easily adjust the code for their own work rather than starting from scratch each time. Features on the Art and Practice of Visualization delve into the process of constructing charts and graphs as well as best practices for data displays. Exercises throughout the book and at the end of each chapter give students ample practice of these new concepts. Give your students a thorough and accessible introduction to R and statistics with Statistics and Data Visualization Using R.

Industry 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

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