A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst’s time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors—time, granularity, scope, and structure—that you need to consider as you begin to work with data. You’ll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today’s data-driven organizations. Appreciate the importance—and the satisfaction—of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis
The instant New York Times bestseller about humanity's place in the universe—and how we understand it. “Vivid...impressive....Splendidly informative.”—The New York Times “Succeeds spectacularly.”—Science “A tour de force.”—Salon Already internationally acclaimed for his elegant, lucid writing on the most challenging notions in modern physics, Sean Carroll is emerging as one of the greatest humanist thinkers of his generation as he brings his extraordinary intellect to bear not only on Higgs bosons and extra dimensions but now also on our deepest personal questions: Where are we? Who are we? Are our emotions, our beliefs, and our hopes and dreams ultimately meaningless out there in the void? Do human purpose and meaning fit into a scientific worldview? In short chapters filled with intriguing historical anecdotes, personal asides, and rigorous exposition, readers learn the difference between how the world works at the quantum level, the cosmic level, and the human level—and then how each connects to the other. Carroll's presentation of the principles that have guided the scientific revolution from Darwin and Einstein to the origins of life, consciousness, and the universe is dazzlingly unique. Carroll shows how an avalanche of discoveries in the past few hundred years has changed our world and what really matters to us. Our lives are dwarfed like never before by the immensity of space and time, but they are redeemed by our capacity to comprehend it and give it meaning. The Big Picture is an unprecedented scientific worldview, a tour de force that will sit on shelves alongside the works of Stephen Hawking, Carl Sagan, Daniel Dennett, and E. O. Wilson for years to come.
Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking. Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths. This report describes: Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers Cases in miscommunication between data scientists and organizations looking to hire Why "T-shaped" data scientists have an advantage in breadth and depth of skills How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists
This issue of Surgical Clinics of North America focuses on Advances in Colorectal Neoplasia, and is edited by Dr. Sean J. Langenfeld. Articles will include: Colorectal cancer screening; Imaging for colon and rectal cancer; The difficult colorectal polyp; Emergency presentations of colorectal cancer; Advances in laparoscopic colorectal surgery; Robotic colorectal surgery; Local excision of rectal cancer; New strategies in rectal cancer; Hereditary colorectal cancer syndromes; Dysplasia and cancer in inflammatory bowel disease; Atypical colorectal neoplasms; Resection of the primary tumor in stage IV colorectal cancer: when is it necessary?; Cytoreduction and HIPEC for colorectal cancer; Molecular markers for colorectal cancer, and more!
Written to be highly readable, this book is intended to be practical, broad in scope, and accessible to a wide range of disciplines and readers with various levels of knowledge of psychiatry. Rather than be just a reference manual, this book uses a novel problem-based format which allows readers to understand symptoms and solutions in context rather than as isolated incidents of human behavior. To maintain currency, the book also includes new material on ethics and the philosophy of psychiatry.
The gold-standard text in anesthesiology – from the field’s brightest, most respected minds A Doody's Core Title for 2024 & 2021! Written by an internationally known team of experts, Anesthesiology, Third Edition provides a 360-degree view of the field, covering all the anesthetic considerations from preoperative preparation through postoperative care, and the full breadth of anesthesia practice, including pain medicine and critical care medicine. Presented in full color and updated to capture the latest breakthroughs and advances, Anesthesiology is designed to provide the practitioner with an authoritative single-source reference that spans the full spectrum of anesthesia practice. Much more than a how-to manual of anesthetic techniques, Anesthesiology, Third Edition presents an accessible compilation of concepts and principles that affirms its status as the cornerstone text in anesthesiology. This edition emphasizes important trends in both the specialty and healthcare in general. These trends include team-based anesthesia care, the remarkable growth of pain medicine practice, and the expanded need for clinicians who are skilled in the practice of critical care medicine. Features: Four new pain medicine chapters, plus an expanded section on anesthetic considerations and perioperative management of co-existing disease Key Points and Key References encapsulate must-know information and guide you to important articles for further research Balanced presentations present clinical information, practical clinical procedures, and the molecular and scientific foundations of anesthesia practice Essential for residents and students preparing for initial certification, and for practitioners preparing for recertification
Investments: Analysis and Management, Canadian Edition by W. Sean Cleary and Charles P. Jones is an introductory text that prepares Canadian college and university students for a career in the investments industry. Its unique coverage provides both the theoretical foundation and practical applications students will need to make real-life investment decisions. Several key features distinguish Investments such as an accessible approach to topics, introducing students to the how, and not just the why, of investment management. The text steps beyond concepts by focusing on the realities of the Canadian Investment community. In addition, Investments places great emphasis on topics that are included in professional courses such as the Canadian Securities Course (CSC) and the Chartered Financial Analysts (CFA) program, helping students prepare for future courses and careers.
A key task that any aspiring data-driven organization needs to learn is data wrangling, the process of converting raw data into something truly useful. This practical guide provides business analysts with an overview of various data wrangling techniques and tools, and puts the practice of data wrangling into context by asking, "What are you trying to do and why?" Wrangling data consumes roughly 50-80% of an analyst’s time before any kind of analysis is possible. Written by key executives at Trifacta, this book walks you through the wrangling process by exploring several factors—time, granularity, scope, and structure—that you need to consider as you begin to work with data. You’ll learn a shared language and a comprehensive understanding of data wrangling, with an emphasis on recent agile analytic processes used by many of today’s data-driven organizations. Appreciate the importance—and the satisfaction—of wrangling data the right way. Understand what kind of data is available Choose which data to use and at what level of detail Meaningfully combine multiple sources of data Decide how to distill the results to a size and shape that can drive downstream analysis
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