This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R's graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe works. Most of the recipes use the ggplot2 package, a powerful and flexible way to make graphs in R. If you have a basic understanding of the R language, you're ready to get started. Use R's default graphics for quick exploration of data Create a variety of bar graphs, line graphs, and scatter plots Summarize data distributions with histograms, density curves, box plots, and other examples Provide annotations to help viewers interpret data Control the overall appearance of graphics Render data groups alongside each other for easy comparison Use colors in plots Create network graphs, heat maps, and 3D scatter plots Structure data for graphing

《证析:大数据与基于证据的决策》的主题是Analytics，作者将一个英文新词Analytics译为“证析”借以指代在这个时代背景下对证据尤其是量化证据进行分析以影响决策的具体实践。《证析:大数据与基于证据的决策》更多关注数据对商业与社会领域决策的影响。《证析:大数据与基于证据的决策》在前言部分之外，分为上下两编。上编对证析所处的时代背景、证析对传统决策方式的挑战、证析在企业中的应用案例进行介绍，并着重介绍了实验在指导社会实践中的思想和实例。下编主要从证析对企业的价值、为了发挥证析的价值而在企业组织架构、考核体系、决策流程、组织文化等方面应有的考虑。除了介绍最新的管理思想与企业实践之外，因为证析的着眼点是数字与决策，所以贯穿全书也不可避免会涉及对科学研究方法的探讨。

你是否曾对商业杂志上专业的数据地图羡慕不已？ 你是否曾想过用数据地图来呈现自己的业务数据？ 本书作者通过跟踪学习《华尔街日报》《经济学人》等国外商业网站上各种形式的 数据地图案例，摸索出一整套在Office软件中模仿制作数据地图的方法，本书正是这一 系列数据地图制作 和演示方法的系统总结和阐述，旨在告诉你如何运用常见的Excel软件，制作出媲美商业杂志、具备专业品质的数据地图，以及如何在数据分析和商务演示中加以运用。这些方法精妙绝伦又足够简单，而且作者还提供了包含模板的范例包，可以直接套用，适于从事数据分析与研究人士学习和参考。

《环境与生态统计:R语言的应用》内容简介：在强调统计思维的归纳性本质基础上，《环境与生态统计:R语言的应用》把应用统计学跟环境与生态领域关联到一起。《环境与生态统计:R语言的应用》遵循解决统计建模问题的一般方法。内容覆盖了模型界定、参数估值和模型评估。作者用了很多实例来阐述统计学模型以及如何用R语言来实现模型。《环境与生态统计:R语言的应用》首先为开展简单的数据分析任务提供了基础知识。例如探索性数据分析和线性回归模型拟合。接下来重点介绍了统计建模，包括线性和非线性模型、分类和回归树以及广义线性模型。书中还讨论了用于模型检验的模拟，为开发出的模型提供评估工具，同时探讨了多层回归模型这类会对环境和生态学数据分析产生广泛影响的模型。 《环境与生态统计:R语言的应用》重点针对的是环境和生态学问题的统计建模和数据分析。通过引导读者理解解决科学问题和开发统计模型的过程，轻松地从科学假设过渡到统计模型。

The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process, and respond intelligently to statistical information. R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features. Coverage includes data mining methodologies, approaches to messy data, R's extensive graphical environment, useful add-on modules, and how to interface R with other software platforms and data management systems.

Discover how the most trusted approach to statistics today is Simply Powerful with the latest market-leading text from respected authors Anderson/Sweeney/Williams. STATISTICS FOR BUSINESS AND ECONOMICS, 11e introduces sound statistical methodology within a strong applications setting. The authors clearly demonstrate how statistical results provide insights into business decisions and present solutions to contemporary business problems. New cases and more than 350 real business examples and memorable exercises, 150 of which are new in this edition, present the latest statistical data and business information. With this book's comprehensive coverage and unwavering accuracy, you select the topics best for your course, including thorough coverage of the latest versions of MiniTab 15 and Excel 2007, along with StatTools and other leading Excel 2007 statistical add-ins within chapter appendices. Author-written support materials and CengageNOW online course management system provides time-saving, complete support to ensure student understanding. Choose Anderson/Sweeney/Williams' STATISTICS FOR BUSINESS AND ECONOMICS, 11e for the Simply Powerful statistical solution you need for your course.