This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease. With ggplot2, it's easy to:
produce handsome, publication-quality plots with automatic legends created from the plot specification
superimpose multiple layers (points, lines, maps, tiles, box plots) from different data sources with automatically adjusted common scales
add customizable smoothers that use powerful modeling capabilities of R, such as loess, linear models, generalized additive models, and robust regression
save any ggplot2 plot (or part thereof) for later modification or reuse
create custom themes that capture in-house or journal style requirements and that can easily be applied to multiple plots
approach a graph from a visual perspective, thinking about how each component of the data is represented on the final plot
This book will be useful to everyone who has struggled with displaying data in an informative and attractive way. Some basic knowledge of R is necessary (e.g., importing data into R). ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page.

An innovative and accessible guide to doing social research in the digital age
In just the past several years, we have witnessed the birth and rapid spread of social media, mobile phones, and numerous other digital marvels. In addition to changing how we live, these tools enable us to collect and process data about human behavior on a scale never before imaginable, offering entirely new approaches to core questions about social behavior. Bit by Bit is the key to unlocking these powerful methods―a landmark book that will fundamentally change how the next generation of social scientists and data scientists explores the world around us.
Bit by Bit is the essential guide to mastering the key principles of doing social research in this fast-evolving digital age. In this comprehensive yet accessible book, Matthew Salganik explains how the digital revolution is transforming how social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations. He provides a wealth of real-world examples throughout, and also lays out a principles-based approach to handling ethical challenges in the era of social media.
Bit by Bit is an invaluable resource for social scientists who want to harness the research potential of big data and a must-read for data scientists interested in applying the lessons of social science to tomorrow’s technologies.
Illustrates important ideas with examples of outstanding research
Combines ideas from social science and data science in an accessible style and without jargon
Goes beyond the analysis of “found” data to discuss the collection of “designed” data such as surveys, experiments, and mass collaboration
Features an entire chapter on ethics
Includes extensive suggestions for further reading and activities for the classroom or self-study

《社会统计学(第4版)》系统地介绍了社会统计学的基本内容：统计描述和统计推论，并以变量的四个层次(定类、定序、定距、定比)为切入点，简明扼要地阐述了单变量和双变量的各种统计技术。《社会统计学(第4版)》的例证材料多取材于社会现象，采用直观、浅显的叙述，将数理统计方法在社会研究中的应用通俗地呈现给读者，是学习、研究社会统计问题的必读课本。
《社会统计学(第4版)》是高等学校的统编教材，是社会学专业的必修课，同时可供文科相关专业师生学习、参考之用。
《社会统计学(第4版)》是第四版，作者新增了多项选择的讨论、概率数值的例题、第二类纳伪概率的计算、Normao P-P图法等内容，并对第三版存在的问题作了统一修改。