What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you’ll discover how to: Test drive your data to see if it’s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis
Managing multiple Red Hat-based systems can be easy--with the right tools. The yum package manager and the Kickstart installation utility are full of power and potential for automatic installation, customization, and updates. Here's what you need to know to take control of your systems.
R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R's limitations -- that it is single-threaded and memory-bound -- become especially troublesome in the current era of large-scale data analysis. It's possible to break past these boundaries by putting R on the parallel path. Parallel R will describe how to give R parallel muscle. Coverage will include stalwarts such as snow and multicore, and also newer techniques such as Hadoop and Amazon's cloud computing platform.
You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term. In this paper, we'll share a framework we developed around monetizing data. We'll show you how to think beyond pure collection and storage, to move up the value chain and consider longer-term opportunities.
The classic international bestseller, updated for the hybrid work world, including a new chapter on virtual communication. Excellent communicating skills have always been crucial to success in leadership and management roles—and that’s one of the reasons the first edition of this book, Mastering Communication at Work, has been an international bestseller taught at universities and referred to by leading CEOs. In the years since it was first published, it’s been the go-to “communication playbook,” helping leaders develop strategic responses and communication tactics with clear, actionable advice. What’s changed in the last ten years? Well, nothing—and everything. The fundamentals of effective communication are the same, as are many of the challenges leaders face, generation after generation. You still need to “match your listener’s tendency” and “validate,” and you still need to guard against “defensiveness.” What has changed is how some of the fundamentals and challenges are applied and met in today’s world—both real and virtual, in remote and on-site working environments. Mastering Communication at Work, 2nd Edition features an essential new chapter on remote team communication along with additional content on equitable leadership and updated case studies. Throughout, you’ll find practical, hands-on advice and strategies that can help you reach your potential when preparing for big conversations and important presentations, help you reduce everyday stress and improve your organization’s performance at every level.
From January to July of 1862, the armies and navies of the Union and Confederacy conducted an incredibly complex and remarkably diverse range of operations in the Commonwealth of Virginia. Under the direction of leaders like Thomas “Stonewall” Jackson, George McClellan, Joseph E. Johnston, John Rodgers, Robert E. Lee, Franklin Buchanan, Irvin McDowell, and Louis M. Goldsborough, men of the Union and Confederate armed forces marched over mountains and through shallow valleys, maneuvered on and along great tidal rivers, bridged and waded their tributaries, battled malarial swamps, dug trenches and constructed fortifications, and advanced and retreated in search of operational and tactical advantage. In the course of these operations, the North demonstrated it had learned quite a bit from its setbacks of 1861 and was able to achieve significant operational and tactical success on both land and sea. This enabled Union arms to bring a considerable portion of Virginia under Federal control—in some cases temporarily and in others permanently. Indeed, at points during the spring and early summer of 1862, it appeared the North just might succeed in bringing about the defeat of the rebellion before the year was out. A sweeping study of the operations on land and sea, From the Mountains to the Bay is the only modern scholarly work that looks at the operations that took place in Virginia in early 1862, from the Romney Campaign that opened the year to the naval engagement between the Monitor and Merrimac to the movements and engagements fought by Union and Confederate forces in the Shenandoah Valley, on the York-James Peninsula, and in northern Virginia, as a single, comprehensive campaign. Rafuse draws from extensive research in primary sources to provide a fast-paced, complete account of operations throughout Virginia, while also incorporating findings of recent scholarship on the factors that shaped these campaigns. The work provides invaluable insights into the factors and individuals who shaped these operations, how they influenced the course of the war, the relationships between political leaders and men in uniform, and how all these factors affected the development and execution of strategy, operations, and tactics.
Michelson's analysis of almost 150,000 divorce trials reveals routine and egregious violations of China's own laws upholding the freedom of divorce, gender equality, and the protection of women's physical security. Using 'big data' computational techniques to scrutinize cases covering 2009–2016 from all 252 basic-level courts in two Chinese provinces, Henan and Zhejiang, Michelson reveals that women have borne the brunt of a dramatic intensification since the mid-2000s of a decades-long practice of denying divorce requests. This book takes the reader upstream to the institutional sources of China's clampdown on divorce and downstream to its devastating and highly gendered human toll, showing how judges in an overburdened court system clear their oppressive dockets at the expense of women's lawful rights and interests. This book is a must-read for anyone interested in Chinese courts, judicial decision-making, family law, gender violence, and the limits and possibilities of the globalization of law.This title is also available as Open Access on Cambridge Core.
Due to its Constitution, and particularly to that Constitution’s First Amendment, the relationship between religion and politics in the United States is rather unusual. This is especially the case concerning the manner with which religious terminology is defined via the discourse adopted by the United States Supreme Court, and the larger American judicial system. Focusing on the religious term of Atheism, this book presents both the discourse itself, in the form of case decisions, as well as an analysis of that discourse. The work thus provides an essential introduction and discussion of both Atheism as a concept and the influence that judicial decisions have on the way we perceive the meaning of religious terminology in a national context. As a singular source on the Supreme, Circuit, and District Court cases concerning Atheism and its judicial definition, the book offers convenient access to this discourse for researchers and students. The discursive analysis further provides an original theoretical insight into how the term ‘Atheism’ has been judicially defined. As such, it will be a valuable resource for scholars of religion and law, as well as those interested in the definition and study of Atheism.
Study the latest research findings by international experts!This comprehensive volume presents state-of-the-art scientific research on the therapeutic uses of cannabis and its derivatives. All too often, discussions of the potential medical uses of this substance are distorted by political considerations that have no place in a medical debate. Cannabis and Cannabinoids: Pharmacology, Toxicology, and Therapeutic Potential features fair, equitable discussion of this emerging and controversial medical topic by the world’s foremost researchers.Cannabis and Cannabinoids examines the benefits, drawbacks, and side effects of medical marijuana as a treatment for various conditions and diseases. This book discusses the scientific basis for marijuana’s use in cases of pain, nausea, anorexia, and cachexia. It also explores its possible benefits in glaucoma, ischemia, spastic disorders, and migraine.Cannabis and Cannabinoids examines all facets of the medical use of marijuana, including: botany history biochemistry pharmacology clinical use toxicology side effectsCannabis and Cannabinoids is a reference work that will become indispensable to physicians, psychologists, researchers, biochemists, graduate students, and interested members of the public. No other book available offers this comprehensive, even-handed look at a deeply divisive subject.
R is a wonderful thing, indeed: in recent years this free, open-source product has become a popular toolkit for statistical analysis and programming. Two of R's limitations -- that it is single-threaded and memory-bound -- become especially troublesome in the current era of large-scale data analysis. It's possible to break past these boundaries by putting R on the parallel path. Parallel R will describe how to give R parallel muscle. Coverage will include stalwarts such as snow and multicore, and also newer techniques such as Hadoop and Amazon's cloud computing platform.
What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems. From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it. Among the many topics covered, you’ll discover how to: Test drive your data to see if it’s ready for analysis Work spreadsheet data into a usable form Handle encoding problems that lurk in text data Develop a successful web-scraping effort Use NLP tools to reveal the real sentiment of online reviews Address cloud computing issues that can impact your analysis effort Avoid policies that create data analysis roadblocks Take a systematic approach to data quality analysis
You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term. In this paper, we'll share a framework we developed around monetizing data. We'll show you how to think beyond pure collection and storage, to move up the value chain and consider longer-term opportunities.
Managing multiple Red Hat-based systems can be easy--with the right tools. The yum package manager and the Kickstart installation utility are full of power and potential for automatic installation, customization, and updates. Here's what you need to know to take control of your systems.
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