Tom Clancy's The Division: New York Collapse


Book Description

New York Collapse is an in-world fictionalized companion to one of the biggest video game releases of 2016: Tom Clancy's The Division from Ubisoft. Within this discarded survivalist field guide, written before the collapse, lies a mystery—a handwritten account of a woman struggling to discover why New York City fell. The keys to unlocking the survivor's full story are hidden within seven removable artifacts, ranging from a full-city map to a used transit card. Retrace her steps through a destroyed urban landscape and decipher her clues to reveal the key secrets at the heart of this highly anticipated game.




R For Dummies


Book Description

Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you




R Projects For Dummies


Book Description

Make the most of R’s extensive toolset R Projects For Dummies offers a unique learn-by-doing approach. You will increase the depth and breadth of your R skillset by completing a wide variety of projects. By using R’s graphics, interactive, and machine learning tools, you’ll learn to apply R’s extensive capabilities in an array of scenarios. The depth of the project experience is unmatched by any other content online or in print. And you just might increase your statistics knowledge along the way, too! R is a free tool, and it’s the basis of a huge amount of work in data science. It's taking the place of costly statistical software that sometimes takes a long time to learn. One reason is that you can use just a few R commands to create sophisticated analyses. Another is that easy-to-learn R graphics enable you make the results of those analyses available to a wide audience. This book will help you sharpen your skills by applying them in the context of projects with R, including dashboards, image processing, data reduction, mapping, and more. Appropriate for R users at all levels Helps R programmers plan and complete their own projects Focuses on R functions and packages Shows how to carry out complex analyses by just entering a few commands If you’re brand new to R or just want to brush up on your skills, R Projects For Dummies will help you complete your projects with ease.




Statistical Analysis with R For Dummies


Book Description

Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data—the fast and easy way!




Calculus For Dummies


Book Description

Slay the calculus monster with this user-friendly guide Calculus For Dummies, 2nd Edition makes calculus manageable—even if you're one of the many students who sweat at the thought of it. By breaking down differentiation and integration into digestible concepts, this guide helps you build a stronger foundation with a solid understanding of the big ideas at work. This user-friendly math book leads you step-by-step through each concept, operation, and solution, explaining the "how" and "why" in plain English instead of math-speak. Through relevant instruction and practical examples, you'll soon learn that real-life calculus isn't nearly the monster it's made out to be. Calculus is a required course for many college majors, and for students without a strong math foundation, it can be a real barrier to graduation. Breaking that barrier down means recognizing calculus for what it is—simply a tool for studying the ways in which variables interact. It's the logical extension of the algebra, geometry, and trigonometry you've already taken, and Calculus For Dummies, 2nd Edition proves that if you can master those classes, you can tackle calculus and win. Includes foundations in algebra, trigonometry, and pre-calculus concepts Explores sequences, series, and graphing common functions Instructs you how to approximate area with integration Features things to remember, things to forget, and things you can't get away with Stop fearing calculus, and learn to embrace the challenge. With this comprehensive study guide, you'll gain the skills and confidence that make all the difference. Calculus For Dummies, 2nd Edition provides a roadmap for success, and the backup you need to get there.




R for Data Science


Book Description

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results




The Tour Guide


Book Description

Everyone wants to visit New York at least once. The Big Apple is a global tourist destination with a dizzying array of attractions throughout the five boroughs. The only problem is figuring out where to start—and that’s where the city’s tour guides come in. These guides are a vital part of New York’s raucous sidewalk culture, and, as The Tour Guide reveals, the tours they offer are as fascinatingly diverse—and eccentric—as the city itself. Visitors can take tours that cover Manhattan before the arrival of European settlers, the nineteenth-century Irish gangs of Five Points, the culinary traditions of Queens, the culture of Harlem, or even the surveillance cameras of Chelsea—in short, there are tours to satisfy anyone’s curiosity about the city’s past or present. And the guides are as intriguing as the subjects, we learn, as Jonathan R. Wynn explores the lives of the people behind the tours, introducing us to office workers looking for a diversion from their desk jobs, unemployed actors honing their vocal skills, and struggling retirees searching for a second calling. Matching years of research with his own experiences as a guide, Wynn also lays bare the grueling process of acquiring an official license and offers a how-to guide to designing and leading a tour. Touching on the long history of tour-giving across the globe as well as the ups and downs of New York’s tour guide industry in the wake of 9/11, The Tour Guide is as informative and insightful as the chatty, charming, and colorful characters at its heart.




New York City English


Book Description

New York City English is one of the most recognizable of US dialects, and research on it launched modern sociolinguistics. Yet the city’s speech has never before received a comprehensive description and analysis. In this book, Michael Newman examines the differences and similarities among the ways English is spoken by the extraordinarily diverse population living in the NY dialect region. He uses data from a variety of sources including older dialectological accounts, classic and recent variationist studies, and original research on speakers from around the dialect region. All levels of language are explored including phonology, morphosyntax, lexicon, and discourse along with a history of English in the region. But this book provides far more than a dialectological and historical inventory of linguistic features. The forms used by different groups of New Yorkers are discussed in terms of their complex social meanings. Furthermore, Newman illustrates the varied forms of sociolinguistic significance with examples from the personal experiences of a variety of New Yorkers and includes links to sound files on the publisher’s site and videos on YouTube. The result is a rigorous but accessible and compelling account of the English spoken in this great city.







The Jubilee Year Book of the New-York Observer


Book Description

Reprint of the original, first published in 1873.