Avoiding Data Pitfalls
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Avoiding Data Pitfalls
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Author : Ben Jones
language : en
Publisher: John Wiley & Sons
Release Date : 2019-11-13
Avoiding Data Pitfalls written by Ben Jones and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-13 with Business & Economics categories.
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.
Avoiding Data Pitfalls
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Author : Jones. Ben
language : en
Publisher:
Release Date : 2016
Avoiding Data Pitfalls written by Jones. Ben and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
Measurement Madness
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Author : Dina Gray
language : en
Publisher: John Wiley & Sons
Release Date : 2014-11-20
Measurement Madness written by Dina Gray and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-20 with Business & Economics categories.
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.
Semantic Modeling For Data
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Author : Panos Alexopoulos
language : en
Publisher:
Release Date : 2020
Semantic Modeling For Data written by Panos Alexopoulos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Perhaps you're an information architect on a mission to make your organization's data more understandable and usable across applications. Or a knowledge engineer working to infuse domain knowledge into the next Alexa or Siri. Or a machine learning expert having difficulty obtaining the right data for your models. If you pursue these or similar tasks, this is your book. 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 and increase the usability and value of your data and applications. With this practical and comprehensive field guide, you'll understand the pitfalls to avoid and dilemmas to overcome to build high-quality and valuable semantic representations of data. Examine the quirks and challenges of semantic data modeling and learn how to effectively leverage 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.
Learning To See Data
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Author : Ben Jones
language : en
Publisher: Data Literacy Press
Release Date : 2020-12-15
Learning To See Data written by Ben Jones and has been published by Data Literacy Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-15 with Business & Economics categories.
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
How To Make Data Work
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Author : Jenny Grant Rankin
language : en
Publisher: Routledge
Release Date : 2016-01-22
How To Make Data Work written by Jenny Grant Rankin and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-22 with Education categories.
Educators are increasingly responsible for using data to improve teaching and learning in their schools. This helpful guide provides leaders with simple steps for facilitating accurate analysis and interpretation of data, while avoiding common errors and pitfalls. How to Make Data Work provides clear strategies for getting data into workable shape and creating an environment that supports understanding, analysis, and successful use of data, no matter what data system or educational technology tools are in place in your district. This accessible resource makes data easy to understand and use so that educators can better evaluate and maximize their systems to help their staff, students, and school succeed. With this tried-and-true guidance, you’ll be prepared to advocate for tools that adhere to data reporting standards, avoid misinterpretation of data, and improve the data use climate in your school.
Communicating Data With Tableau
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Author : Ben Jones
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2014-06-16
Communicating Data With Tableau written by Ben Jones and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-16 with Computers categories.
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
Fundamentals Of Data Visualization
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Author : Claus O. Wilke
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-03-18
Fundamentals Of Data Visualization written by Claus O. Wilke and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-18 with Computers categories.
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke teaches you the elements most critical to successful data visualization. Explore the basic concepts of color as a tool to highlight, distinguish, or represent a value Understand the importance of redundant coding to ensure you provide key information in multiple ways Use the book’s visualizations directory, a graphical guide to commonly used types of data visualizations Get extensive examples of good and bad figures Learn how to use figures in a document or report and how employ them effectively to tell a compelling story
Emergency Medicine
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Author : Amal Mattu
language : en
Publisher: BMJ Books
Release Date : 2007-02-20
Emergency Medicine written by Amal Mattu and has been published by BMJ Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-02-20 with Medical categories.
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.
Designing Data Visualizations
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Author : Noah Iliinsky
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2011-09-16
Designing Data Visualizations written by Noah Iliinsky and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-16 with Computers categories.
Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually. Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each one. Then learn how to apply these concepts to your design process. Learn data visualization classifications, including explanatory, exploratory, and hybrid Discover how three fundamental influences—the designer, the reader, and the data—shape what you create Learn how to describe the specific goal of your visualization and identify the supporting data Decide the spatial position of your visual entities with axes Encode the various dimensions of your data with appropriate visual properties, such as shape and color See visualization best practices and suggestions for encoding various specific data types