It helps in the process of choosing the right statistical technique and includes a detailed guide to interpreting SPSS ouput.

    As a modern application developer you need to understand the emerging field of data management, both RDBMS and NoSQL. Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source databases today. In the tradition of Bruce A. Tate's Seven Languages in Seven Weeks, this book goes beyond your basic tutorial to explore the essential concepts at the core each technology. Redis, Neo4J, CouchDB, MongoDB, HBase, Riak and Postgres. With each database, you'll tackle a real-world data problem that highlights the concepts and features that make it shine. You'll explore the five data models employed by these databases-relational, key/value, columnar, document and graph-and which kinds of problems are best suited to each. You'll learn how MongoDB and CouchDB are strikingly different, and discover the Dynamo heritage at the heart of Riak. Make your applications faster with Redis and more connected with Neo4J. Use MapReduce to solve Big Data problems. Build clusters of servers using scalable services like Amazon's Elastic Compute Cloud (EC2). Discover the CAP theorem and its implications for your distributed data. Understand the tradeoffs between consistency and availability, and when you can use them to your advantage. Use multiple databases in concert to create a platform that's more than the sum of its parts, or find one that meets all your needs at once.Seven Databases in Seven Weeks will take you on a deep dive into each of the databases, their strengths and weaknesses, and how to choose the ones that fit your needs.What You Need: To get the most of of this book you'll have to follow along, and that means you'll need a *nix shell (Mac OSX or Linux preferred, Windows users will need Cygwin), and Java 6 (or greater) and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.

    The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you're a beginner, R Cookbook will help get you started. If you're an experienced data programmer, it will jog your memory and expand your horizons. You'll get the job done faster and learn more about R in the process.Create vectors, handle variables, and perform other basic functionsInput and output dataTackle data structures such as matrices, lists, factors, and data framesWork with probability, probability distributions, and random variablesCalculate statistics and confidence intervals, and perform statistical testsCreate a variety of graphic displaysBuild statistical models with linear regressions and analysis of variance (ANOVA)Explore advanced statistical techniques, such as finding clusters in your dataWonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language--one practical example at a time.--Jeffrey Ryan, software consultant and R package author

    The pending charges that are threatening to separate Nomi from her new family has Shooter willing to risk everything to fix this situation as he has always done for the ones he loves the most. Nomi has already lost one family, and now she is forced to deal with the fact that she may lose Shooter and Ari while serving a prison sentence. Will Nomi be able to beat the charges against her, or will she have to accept the fact that behind bars is where she will spend the next few years? Dreek and Riv are finally in a good place, but old habits die hard, and Dreek is not ready to let his go just yet. Life forces Dreek to become responsible overnight, and one careless act may be enough to destroy all that he and Riv have built. The past keeps coming back to remind these two couples of their mistakes and shortcomings. Will they be able to survive the turmoil or was it too good to be true? In the end, no matter the outcome, everyone will realize that the trillest kind of love will always leave you Faded.

    I created S.P.Y ( stop protecting your abuser) after discovering I was apart of a growing community of women and young girls who had been victimized by the same famous and powerful man. I became infuriated when communicating with several of his past victims when I realized we were all dealing with the same fear and shame and we were all too afraid of the questions and the victim shaming that follows after you tell! Why are you telling now? Are you after money? She doesn't look like a victim, she isn't his type, she's not pretty, she's a groupie she deserved it, she's not crying in the interview she must be lying!! Watching past victims endure so much backlash it made many of us go into a deeper depression and pretend it never happened, this allowed our abuser to recruit and victimize more girls and women over the years to come. Inside, I take you on a journey, sharing my life and my career before Robert Kelly, and then sharing my life as it was living with him. Never before seen photos, and information never revealed.

     The town’s mayor, Jim Truehart, bought the land from his former master Hiram Little and transformed the Delta swamp into the best cotton land in the county. Now Little wants the land back, and he hires a man for the job that everyone in Willow Bend knows too well—former Klansman Benjamin Loveless, who carried out a massacre in the neighboring county ten years before. Byrd thought he was done with being a soldier. But his friendship with Truehart—and his love for Truehart’s eighteen-year-old daughter Bernie—pull him into Willow Bend’s fight. As danger comes ever closer, Byrd decides to join with Willow Bend for battle. Will it be a fight for freedom...or a massacre?

    Finding the visual form of data can simplify this deluge into pearls of understanding.” —Kim Rees, Periscopic    The most creative and effective data visualizations from the past year, edited by Brain Pickings creator Maria Popova   The rise of infographics across nearly all print and electronic media—from a graphic illuminating the tweets of the women of Isis to a memorable depiction of the national geography of beer—reveals patterns in our lives and the world in often startling ways. The Best American Infographics 2015 showcases visualizations from the worlds of politics, social issues, health, sports, arts and culture, and more. From an elegant graphic comparison of first sentences in classic novels to a startling illustration of the world’s deadliest animals, “You’ll come away with more than your share of . . . mind-bending moments—and a wide-ranging view of what infographics can do” (Harvard Business Review). “This is what information design does at its best – it gives pause, makes visible the unsuspected yet significant invisibilia of life, and by astonishing us into mobilization, it catapults us toward one of the greatest feats of human courage: the act of changing one’s mind.”—from the Introduction by Maria Popova Guest introducer MARIA POPOVA is the one-woman curation machine behind Brain Pickings, a cross-disciplinary blog showcasing content that makes people smarter. She has more than half a million monthly readers and over 480,000 Twitter followers. Popova is an MIT Futures of Entertainment Fellow and has written for the New York Times, Atlantic, Wired UK, GOOD Magazine, The Huffington Post, and the Nieman Journalism Lab.   Series editor GARETH COOK is a Pulitzer Prize–winning journalist, a contributor to the New York Times Magazine, and the editor of Mind Matters, Scientific American’s neuroscience blog.  He helped invent the Boston Globe’s Sunday Ideas section and served as its editor from 2007 to 2011. His work has also appeared in NewYorker.com, WIRED, Scientific American, and The Best American Science and Nature Writing.

    With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field.This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both.Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizationsExplore in-depth case studies on elections, riots, school performance, and corruptionLearn how to find data from the Web, through freedom of information laws, and by "crowd sourcing"Extract information from raw data with tips for working with numbers and statistics and using data visualizationDeliver data through infographics, news apps, open data platforms, and download links

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    The story spans more than forty years, following the fate of a magnificent sand dune on Lake Michigan and the people who care about it. Author and narrator Heather Shumaker shares the remarkable untold stories behind protecting land and creating new nature preserves. Written in a compelling narrative style, the book is intended in part as a case study for landscape-level conservation and documents the challenges of integrating economic livelihoods into conservation and what it really means to "preserve" land over time.This is the story of a small band of determined townspeople and how far they went to save beloved land and endangered species from the grip of a powerful corporation. Saving Arcadia is a narrative with roots as deep as the trees the community is trying to save, something set in motion before the author was even born. And yet, Shumaker gives a human face to the changing nature of land conservation in the twenty-first century. Throughout this chronicle we meet people like Elaine, a nineteen-year-old farm wife; Dori, a lakeside innkeeper; and Glen, the director of the local land trust. Together with hundreds of others they cross cultural barriers and learn to help one another in an effort to win back the six-thousand-acre landscape taken over by Consumers Power that is now facing grave devastation. The result is a triumph of community that includes working farms, local businesses, summer visitors, year-round residents, and a network of land stewards.A work of creative nonfiction, Saving Arcadia is the adventurous tale of everyday people fighting to reclaim the land that has been in their family for generations. It explores ideas about nature and community, and anyone from scholars of ecology and conservation biology to readers of naturalist writing can gain from Arcadia's story.

    This new model replaces the popular D5000 and creates a nice bridge between the more beginner-level D3100 and the high-end D7000.This book has one goal: to teach D5100 owners how to make great shots using their new Nikon camera. Users learn how to use the D5100 to create the type of photos that inspired them to buy the camera in the first place. Everything in the book is in service of creating a great image.Starting with the top ten things users need to know about the camera, photographer Rob Sylvan carefully guides readers through the operating features. Owners get practical advice from a pro on which settings to use when, great shooting tips, and even end-of-chapter assignments.

    Aczel turns his sights on probability theory -- the branch of mathematics that measures the likelihood of a random event. He explains probability in clear, layman's terms, and shows its practical applications. What is commonly called luck has mathematical roots and in Chance, you'll learn to increase your odds of success in everything from true love to the stock market. For thousands of years, the twin forces of chance and mischance have beguiled humanity like none other. Why does fortune smile on some people, and smirk on others? What is luck, and why does it so often visit the undeserving? How can we predict the random events happening around us? Even better, how can we manipulate them? In this delightful and lucid voyage through the realm of the random, Dr. Aczel once again makes higher mathematics intelligible to us.

    Detailed color exercises allow the "artist" to recognize countries by shape as well as location, gain a sense of the relative sizes of nations and states, and visualize the location of a nation within the context of its continent.

    The Last Empty Places is one man’s love letter to the enduring American wild, where our country’s character was forged and its destiny set in motion.Memories of growing up in a log cabin in the Wisconsin woods inspired writer Peter Stark to seek out untouched tracts of the American wilderness. What he discovered in these “blank spots” on the U.S. map is that these places are actually teeming with the rich history of our nation.Stark journeys into the great wild to four of the emptiest expanses he can find—northern Maine, central Pennsylvania, the Gila Wilderness of New Mexico, and southeast Oregon—and in so doing weaves together a majestic and dramatic tale of frontiersmen and fighters, naturalists and philosophers, émigrés and natives. But he also goes beyond that, acknowledging to some of the great minds that first framed our relationship to the wilderness that would become our home—passionate thinkers and writers including Thoreau, Emerson, and John Muir.The result is a narrative that blends nature and history in a vivid new way, a tale that provides an unforgettable window into our country’s past and present.From the Hardcover edition.

    'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.