Comprehensive review for all three exam sections The Interior Design Reference Manual by David Ballast covers all three sections of the NCIDQ exams. Pass your exams the first time with comprehensive reading materials on all topics. The NCIDQ Interior Design Reference Manual features include: Complete coverage of content areas for all three sections of the NCIDQ Exam Updated for the IBC 2018 changes included in the exam Over 200 figures in SI and U.S. measurements to illustrate design details Study guidelines, exam tips, and tables to support exam preparation New for this edition - revised and updated content to increase exam specification coverage Topics Covered Design Concepts and Programming Design Constraints Building Systems and Construction Research, Analysis, and Selection of Products and Details Communication and Documentation Project and Business Management eTexbook access benefits include: Ability to download the entire eTextbook to multiple devices, so you can study even without internet access An auto sync feature across all your devices for a seamless experience on or offline Unique study tools such as highlighting in six different colors to tailor your study experience Features like read aloud for complete hands-free review

The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.