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Good Data

2022-02-17 Computers
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Release : 2022-02-17
Genre : Computers
Kind : eBook
Book Rating : 333/5 ( reviews)

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Book Synopsis Good Data by : Sam Gilbert

Download or read book Good Data written by Sam Gilbert. This book was released on 2022-02-17. Available in PDF, EPUB and Kindle. Book excerpt: A rethink of everything you thought you knew about data, privacy and the future of Big Tech. Good Data examines the incredible new ways this information explosion is already helping us, and explains why the best is yet to come.

Good Data

2019-01-23 Data protection
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Release : 2019-01-23
Genre : Data protection
Kind : eBook
Book Rating : 284/5 ( reviews)

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Book Synopsis Good Data by : Angela Daly

Download or read book Good Data written by Angela Daly. This book was released on 2019-01-23. Available in PDF, EPUB and Kindle. Book excerpt: Moving away from the strong body of critique of pervasive ?bad data? practices by both governments and private actors in the globalized digital economy, this book aims to paint an alternative, more optimistic but still pragmatic picture of the datafied future. The authors examine and propose ?good data? practices, values and principles from an interdisciplinary, international perspective. From ideas of data sovereignty and justice, to manifestos for change and calls for activism, this collection opens a multifaceted conversation on the kinds of futures we want to see, and presents concrete steps on how we can start realizing good data in practice.

Creating Good Data

2020-10-28 Computers
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Release : 2020-10-28
Genre : Computers
Kind : eBook
Book Rating : 026/5 ( reviews)

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Book Synopsis Creating Good Data by : Harry Foxwell

Download or read book Creating Good Data written by Harry Foxwell. This book was released on 2020-10-28. Available in PDF, EPUB and Kindle. Book excerpt: Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data. Data analysts are often presented with datasets for exploration and study that are poorly designed, leading to difficulties in interpretation and to delays in producing meaningful results. Much data analytics training focuses on how to clean and transform datasets before serious analyses can even be started. Inappropriate or confusing representations, unit of measurement choices, coding errors, missing values, outliers, etc., can be avoided by using good dataset design and by understanding how data types determine the kinds of analyses which can be performed. This book discusses the principles and best practices of dataset creation, and covers basic data types and their related appropriate statistics and visualizations. A key focus of the book is why certain data types are chosen for representing concepts and measurements, in contrast to the typical discussions of how to analyze a specific data type once it has been selected. What You Will Learn Be aware of the principles of creating and collecting data Know the basic data types and representations Select data types, anticipating analysis goals Understand dataset structures and practices for analyzing and sharing Be guided by examples and use cases (good and bad) Use cleaning tools and methods to create good data Who This Book Is For Researchers who design studies and collect data and subsequently conduct and report the results of their analyses can use the best practices in this book to produce better descriptions and interpretations of their work. In addition, data analysts who explore and explain data of other researchers will be able to create better datasets.

Privacy, Big Data, and the Public Good

2014-06-09 Mathematics
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Release : 2014-06-09
Genre : Mathematics
Kind : eBook
Book Rating : 456/5 ( reviews)

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Book Synopsis Privacy, Big Data, and the Public Good by : Julia Lane

Download or read book Privacy, Big Data, and the Public Good written by Julia Lane. This book was released on 2014-06-09. Available in PDF, EPUB and Kindle. Book excerpt: Massive amounts of data on human beings can now be analyzed. Pragmatic purposes abound, including selling goods and services, winning political campaigns, and identifying possible terrorists. Yet 'big data' can also be harnessed to serve the public good: scientists can use big data to do research that improves the lives of human beings, improves government services, and reduces taxpayer costs. In order to achieve this goal, researchers must have access to this data - raising important privacy questions. What are the ethical and legal requirements? What are the rules of engagement? What are the best ways to provide access while also protecting confidentiality? Are there reasonable mechanisms to compensate citizens for privacy loss? The goal of this book is to answer some of these questions. The book's authors paint an intellectual landscape that includes legal, economic, and statistical frameworks. The authors also identify new practical approaches that simultaneously maximize the utility of data access while minimizing information risk.

Storytelling with Data

2015-10-09 Mathematics
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Release : 2015-10-09
Genre : Mathematics
Kind : eBook
Book Rating : 265/5 ( reviews)

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Book Synopsis Storytelling with Data by : Cole Nussbaumer Knaflic

Download or read book Storytelling with Data written by Cole Nussbaumer Knaflic. This book was released on 2015-10-09. Available in PDF, EPUB and Kindle. Book excerpt: Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!

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