Download or read book Avoiding Data Pitfalls written by Ben Jones and published by John Wiley & Sons. This book was released on 2019-11-19 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the "data-reality gap" that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on "catching" mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls.

Download or read book Avoiding Data Pitfalls written by Jones. Ben and published by . This book was released on 2016 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Semantic Modeling for Data written by Panos Alexopoulos and published by "O'Reilly Media, Inc.". This book was released on 2020-08-19 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your data and applications. You’ll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. Understand the fundamental concepts, phenomena, and processes related to semantic data modeling Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage the available frameworks and tools Avoid mistakes and bad practices that can undermine your efforts to create good data models Learn about model development dilemmas, including representation, expressiveness and content, development, and governance Organize and execute semantic data initiatives in your organization, tackling technical, strategic, and organizational challenges

Download or read book Emergency Medicine written by Amal Mattu and published by John Wiley & Sons. This book was released on 2008-04-15 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emergency Medicine is a brand new book focusing on the common pitfalls and mistakes that can occur when dealing with high-risk conditions during standard medical practice. Concise chapters focus on clinical relevance, addressing the mistakes, the consequences and the knowledge necessary to avoid high-risk mistakes. An essential book for all staff dealing with emergencies.

Download or read book Communicating Data with Tableau written by Ben Jones and published by "O'Reilly Media, Inc.". This book was released on 2014-06-16 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to explore the data for themselves. Ideal for analysts, engineers, marketers, journalists, and researchers, this book describes the principles of communicating data and takes you on an in-depth tour of common visualization methods. You’ll learn how to craft articulate and creative data visualizations with Tableau Desktop 8.1 and Tableau Public 8.1. Present comparisons of how much and how many Use blended data sources to create ratios and rates Create charts to depict proportions and percentages Visualize measures of mean, median, and mode Lean how to deal with variation and uncertainty Communicate multiple quantities in the same view Show how quantities and events change over time Use maps to communicate positional data Build dashboards to combine several visualizations

Download or read book Learning to See Data written by Ben Jones and published by Data Literacy Press. This book was released on 2020-12-15 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is associated with the 'Data Literacy Level 1' on-demand online course: https://dataliteracy.com/courses/data-literacy-level-1 For most of us, it's rare to go a full day without coming across data in the form of a chart, map or dashboard. Graphical displays of data are all around us, from performance indicators at work to election trackers on the news to traffic maps on the road. But few of us have received training or instruction in how to actually read and interpret them. How many times have we been misled simply because we aren't aware of the pitfalls to avoid when interpreting data visualizations. Learning to See Data will teach you the different ways that data can be encoded in graphical form, and it will give you a deeper understanding of the way our human visual system interprets these encodings. You will also learn about the most common chart types, and the situations in which they are most appropriate. From basic bar charts to overused pie charts to helpful maps and many more, a wide array of chart types are covered in detail, and conventions, pitfalls, strengths and weaknesses of each of them are revealed. This book will help you develop fluency in the interpretation of charts, an ability that we all need to hone and perfect if we are to make meaningful contributions in the professional, public and personal arenas of life. The principles covered in it also serve as a critical background for anyone looking to create charts that others will be able to understand. "This book is clear and evocative, thorough and thoughtful, and remarkably readable: a marvelous launchpad into the world of data." –Tamara Munzner, Professor, University of British Columbia Computer Science "Everyone of us needs good data literacy skills to survive in the modern world. Without them, it's hard to succeed at work, or survive the onslaught of information (and misinformation) across all our media. Ben's book provides the necessary building blocks for a strong foundation. From that foundation, Ben's approach will inspire you to own the process of developing your skills further." –Andy Cotgreave, Technical Evangelism Director, Tableau

Download or read book Too Big to Ignore written by Phil Simon and published by John Wiley & Sons. This book was released on 2013-03-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Download or read book Measurement Madness written by Dina Gray and published by John Wiley & Sons. This book was released on 2015-01-27 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clearer, more accurate performance management strategy Over the past two decades, performance measurement has profoundly changed societies, organizations and the way we live and work. We can now access incredible quantities of data, display, review and report complex information in real time, and monitor employees and processes in detail. But have all these investments in collecting, analysing and reporting data helped companies, governments and people perform better? Measurement Madness is an engaging read, full of anecdotes so peculiar you'll hardly believe them. Each one highlights a performance measurement initiative that went wrong, explains why and – most importantly – shows you how to avoid making the same mistake yourself. The dangers of poorly designed performance measurement are numerous, and even the best how-to guides don't explain how to avoid them. Measurement Madness fills in the gap, showing how to ensure you’re measuring the right things, rewarding the behaviours that deserve rewarding, and interpreting results in a way that will improve things rather than complicate them. This book will help you to recognize, correct and even avoid common performance measurement problems, including: Measuring for the sake of measuring Assuming that measurement is an instant fix for performance issues Comparing sets of data that have nothing in common and hoping to learn something Using targets and rewards to promote certain behaviours, and achieving exactly the opposite ones. Reading Measurement Madness will enable you to design a simple, effective performance measurement system, which will have the intended result of creating value in your organization.

Download or read book Business Data Science Combining Machine Learning and Economics to Optimize Automate and Accelerate Business Decisions written by Matt Taddy and published by McGraw Hill Professional. This book was released on 2019-08-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: •Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling•Understand how use ML tools in real world business problems, where causation matters more that correlation•Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science.

Download or read book Common System and Software Testing Pitfalls written by Donald G. Firesmith and published by Addison-Wesley Professional. This book was released on 2014-01-17 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Don’s book is a very good addition both to the testing literature and to the literature on quality assurance and software engineering... . [It] is likely to become a standard for test training as well as a good reference for professional testers and developers. I would also recommend this book as background material for negotiating outsourced software contracts. I often work as an expert witness in litigation for software with very poor quality, and this book might well reduce or eliminate these lawsuits....” –Capers Jones, VP and CTO, Namcook Analytics LLC Software and system testers repeatedly fall victim to the same pitfalls. Think of them as “anti-patterns”: mistakes that make testing far less effective and efficient than it ought to be. In Common System and Software Testing Pitfalls, Donald G. Firesmith catalogs 92 of these pitfalls. Drawing on his 35 years of software and system engineering experience, Firesmith shows testers and technical managers and other stakeholders how to avoid falling into these pitfalls, recognize when they have already fallen in, and escape while minimizing their negative consequences. Firesmith writes for testing professionals and other stakeholders involved in large or medium-sized projects. His anti-patterns and solutions address both “pure software” applications and “software-reliant systems,” encompassing heterogeneous subsystems, hardware, software, data, facilities, material, and personnel. For each pitfall, he identifies its applicability, characteristic symptoms, potential negative consequences and causes, and offers specific actionable recommendations for avoiding it or limiting its consequences. This guide will help you Pinpoint testing processes that need improvement–before, during, and after the project Improve shared understanding and collaboration among all project participants Develop, review, and optimize future project testing programs Make your test documentation far more useful Identify testing risks and appropriate risk-mitigation strategies Categorize testing problems for metrics collection, analysis, and reporting Train new testers, QA specialists, and other project stakeholders With 92 common testing pitfalls organized into 14 categories, this taxonomy of testing pitfalls should be relatively complete. However, in spite of its comprehensiveness, it is also quite likely that additional pitfalls and even missing categories of pitfalls will be identified over time as testers read this book and compare it to their personal experiences. As an enhancement to the print edition, the author has provided the following location on the web where readers can find major additions and modifications to this taxonomy of pitfalls: http://donald.firesmith.net/home/common-testing-pitfalls Please send any recommended changes and additions to dgf (at) sei (dot) cmu (dot) edu, and the author will consider them for publication both on the website and in future editions of this book.

Download or read book The Founder s Dilemmas written by Noam Wasserman and published by Princeton University Press. This book was released on 2012-03-25 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the early decisions that can make or break startup ventures Often downplayed in the excitement of starting up a new business venture is one of the most important decisions entrepreneurs will face: should they go it alone, or bring in cofounders, hires, and investors to help build the business? More than just financial rewards are at stake. Friendships and relationships can suffer. Bad decisions at the inception of a promising venture lay the foundations for its eventual ruin. The Founder's Dilemmas is the first book to examine the early decisions by entrepreneurs that can make or break a startup and its team. Drawing on a decade of research, Noam Wasserman reveals the common pitfalls founders face and how to avoid them. He looks at whether it is a good idea to cofound with friends or relatives, how and when to split the equity within the founding team, and how to recognize when a successful founder-CEO should exit or be fired. Wasserman explains how to anticipate, avoid, or recover from disastrous mistakes that can splinter a founding team, strip founders of control, and leave founders without a financial payoff for their hard work and innovative ideas. He highlights the need at each step to strike a careful balance between controlling the startup and attracting the best resources to grow it, and demonstrates why the easy short-term choice is often the most perilous in the long term. The Founder's Dilemmas draws on the inside stories of founders like Evan Williams of Twitter and Tim Westergren of Pandora, while mining quantitative data on almost ten thousand founders. People problems are the leading cause of failure in startups. This book offers solutions.

Download or read book The Only Negotiation Book You ll Ever Need written by Angelique Pinet and published by Simon and Schuster. This book was released on 2012-12-18 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Negotiate your way through any deal! In today's fast-paced business environment, where a single e-mail exchange can make or break your career, it's important that you know how to clearly and effectively discuss an agreement's terms in person as well as online. The Only Negotiation Book You'll Ever Need guides you through every stage of the process--from identifying opportunities to closing the deal--with useful negotiation techniques and tips for adapting classic strategies to online interactions. This book helps you anticipate your adversaries' moves, outwit them at every turn, and spin obstacles to your advantage. You'll also build long-term relationships and win your deals without ever having to give in. With The Only Negotiation Book You'll Ever Need, you'll finally be able to find a negotiation style that helps you get the outcome you want--every time!

Download or read book Predictive Leadership written by Kirk Dando and published by St. Martin's Press. This book was released on 2014-05-27 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nothing masks issues and robs an organization of its full potential like success That's right! Most successful, growth-hungry companies begin to miss their projections or worse, not because demand is low or conditions are difficult, but simply because they don't know how to predict, nurture, or even maintain their own growth and success. At each stage of growth, natural problems are glossed over in the scramble to expand, making the organization vulnerable to chaos, no matter how strong or expert its leaders. Most leaders feel isolated, pressured to build on earlier success and maintain total control – the perfect recipe for the 12 most common and critical mistakes to show up and slow or kill growth. Kirk Dando, leadership and growth expert, CEO of Dando Advisors, calls these roadblocks the "12 Warning Signs of Success," and has helped leaders across industries predict, prepare, and avoid them at every stage of growth. Predictive Leadership is rich with real-world stories, prescriptive advice on how to scale your business and limit the drama so you can unlock the growth and success you desire. Maybe you had the right idea but hired the wrong person. Maybe you're running into a leadership bottleneck, having trouble getting your team aligned, unknowingly incentivizing failure, or losing sight of your core values. Dando, known in leadership circles as the "Company Whisperer," has encountered every one of these obstacles himself, as a C-level executive in a high-growth billion-dollar business. He knows firsthand that these moments of truth determine whether you can lead your company to become a strong, mature, and financially sustainable organization, or drift toward an uncertain future.

Download or read book Essential Option Strategies written by J. J. Kinahan and published by John Wiley & Sons. This book was released on 2016-09-07 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the ins-and-outs of options trading with clear, practical guidance Essential Option Strategies is an introductory guide to options trading, designed to help new options traders better understand the market and the potential opportunities that exist. This book is designed to bring you up to speed with current practices and help you implement your own option trading strategies. You'll create a plan, track indicators, and understand underlying instruments, then apply that central investing knowledge directly to the options market. The discussion on pricing determinants and probabilities uses an intuitive approach to complex calculations, providing clear examples with no advanced math required, and extensive explanation of spreads, butterflies, and condors brings advanced strategies down to earth. Easy-reference appendices clarify the Greek terms and technical analysis charts, while focused discussion and expert insight throughout provide a highly informative crash course on options trading. Options trading has undergone a rapid evolution beyond stocks and commodities into asset classes including fixed-income, precious metals, energy, and more. This book helps you build a solid foundation in the fundamentals, giving you a knowledge base that applies no matter how the instruments change. This book is designed to help you: Understand the options market inside and out Avoid common mistakes Learn some basic positions, and trades Read charts and interpret probabilities Once the domain of the elites, the options market has been thrown wide open thanks to real-time price quotes, through brokerages, and the free flow of information online. The process of buying and selling options contracts is faster and more efficient than ever, and Wall Street is facing stiff competition from independent analysts and financial websites. As much as the market has changed, the fundamentals are the same—and Essential Option Strategies aims to provide expert guidance throughout the learning process.

Download or read book Urgent Care Emergencies written by Deepi G. Goyal and published by John Wiley & Sons. This book was released on 2012-09-04 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urgent Care Emergencies Avoiding the Pitfalls and Improving the Outcomes If you see patients in an urgent care center, minor injury unit or other acute care setting, this new clinically-focused guide will help you avoid high-risk pitfalls and achieve optimal outcomes. This must-have resource covers a wide range of emergencies that may be encountered in an urgent care setting, focusing on those that can occur with the most commonly-encountered complaints and conditions, including: Genitourinary complaints Common infections Orthopedic injuries Wounds Back pain Dermatologic complaints The book also includes chapters on common pitfalls during the HEENT examination, effective patient communications, urgent care pharmacology pitfalls, special issues in the care of pediatric and geriatric patients, and more. Each chapter is authored by an experienced acute care clinician and includes clinical pearls that you can apply directly to the care of your own patients. The urgent care center can be a challenging and fast-paced environment, and pitfalls, especially those encountered during emergencies, can have serious consequences for patients' immediate well-being, their recovery time, and possibly their long-term prognosis. More than ever, you need a resource you can trust that has been tailored specifically to the needs of providers in the low-acuity setting.

Download or read book Making Marriage Work written by Rob Pascale and published by Rowman & Littlefield. This book was released on 2016-02-23 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Staying happily married has become a difficult proposition in recent times. Although the institution is still firmly embedded in our culture, divorce rates have steadily climbed since the 1960s. While some marriages are truly divorce-worthy, many other broken marriages can be saved. Recent emphasis on personal needs and greater social acceptance of divorce and alternative lifestyles may have weakened the resolve of partners to work through their problems. Furthermore, many couples may not realize that problems in their current marriages are likely to surface in other relationships. Consequently, while they may consider divorce a solution, it may in fact only be a stepping stone to the next relationship where patterns may repeat. Solving marital differences can be difficult. They tend to be linked to or caused by other problems, and that can make it hard to identify the real reasons for conflicts. Without knowing the true nature of their problems, couples cannot arrive at solutions that actually work. To understand the underlying issues that plague many marriages, the authors look to the research conducted on the subject over the past fifty years and to real life stories of success and failure to outline the major issues that detract from marital stability. Drawing on Louis Primavera’s twenty-five years in private practice as a marriage counselor, each chapter is peppered with anecdotes that every married person can relate to, and that help bring issues to life. The authors also propose frank and honest solutions that can help couples have more satisfying relationships. Anyone looking to improve their marriage will find suggestions for sussing out the underlying problems they may be experiencing and guidance for addressing those problems.

Download or read book SQL for Data Scientists written by Renee M. P. Teate and published by John Wiley & Sons. This book was released on 2021-08-17 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on "how to think about constructing your dataset." Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner’s perspective, moving your data scientist career forward!