Making Data

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Making Data Visual

Danyel Fisher,Miriah Meyer
Making Data Visual Book PDF

Author : Danyel Fisher,Miriah Meyer
Publisher : "O'Reilly Media, Inc."
Page : 167 pages
File Size : 43,6 Mb
Release : 2017-12-20
Category : Computers
ISBN : 9781491928448

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Making Data Visual by Danyel Fisher,Miriah Meyer Pdf

"You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden? If you're a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data. With this book, you'll learn: Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored; Visualization patterns, each of which take a different perspective on data and answer different questions; A taxonomy of visualizations for common data types; Techniques for gathering design requirements; When and where to make use of statistical methods."--

Making Sense of Data

Donald J. Wheeler
Making Sense of Data Book PDF

Author : Donald J. Wheeler
Publisher : SPC Press, Incorporated
Page : 0 pages
File Size : 50,5 Mb
Release : 2003
Category : Graphic methods
ISBN : 0945320612

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Making Sense of Data by Donald J. Wheeler Pdf

This book addresses the isues of Data Analysis and SPC in a service setting. Emphasis is give to three basic questions of quality improvement: What do you want to accomplish? By what method? How will you know? 130 Examples and Case Histories from real businesses are used to illustrate the concepts. Readers discover where to start, what to measure, how to measure it, how to understand the measurement.

Fundamentals of Data Visualization

Claus O. Wilke
Fundamentals of Data Visualization Book PDF

Author : Claus O. Wilke
Publisher : O'Reilly Media
Page : 390 pages
File Size : 53,7 Mb
Release : 2019-03-18
Category : Computers
ISBN : 9781492031055

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Fundamentals of Data Visualization by Claus O. Wilke Pdf

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

Making Data Talk

David E. Nelson (M.D.),Bradford W. Hesse,Robert T. Croyle
Making Data Talk Book PDF

Author : David E. Nelson (M.D.),Bradford W. Hesse,Robert T. Croyle
Publisher : Oxford University Press, USA
Page : 340 pages
File Size : 50,8 Mb
Release : 2009
Category : Medical
ISBN : 9780195381535

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Making Data Talk by David E. Nelson (M.D.),Bradford W. Hesse,Robert T. Croyle Pdf

The authors summarize and synthesize research on the selection and presentation of data pertinent to public health and provide practical suggestions, based on this research summary and synthesis, on how scientists and other public health practitioners can better communicate data to the public, policy makers and the press.

Making Data

Ian Gwilt
Making Data Book PDF

Author : Ian Gwilt
Publisher : Bloomsbury Publishing
Page : 281 pages
File Size : 43,8 Mb
Release : 2022-03-24
Category : Design
ISBN : 9781350133242

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Making Data by Ian Gwilt Pdf

For many outside of the scientific community, big data and the forms it takes, such as statistical lists, spreadsheets and graphs, often seem abstract and unintelligible. This book investigates how digital fabrication and traditional making approaches are being used to present data in newly engaging and interesting ways. The first part of the book introduces the basic premise of the data object and the concept of making digital data into a physical form. Contributors cover topics such as biometrics, new technology, the economics of data and open and community uses of data. The second part presents a selection of exemplar forms and contexts for the application of data-objects, such as smart surfaces, smart cities, augmented reality techniques and next generation technical interfaces that blend physical and digital elements. Making Data delivers the importance and likely future prevalence of physical representations of data. It explores the creative methods, processes, theories and cultural histories of making physical representations of information and proposes that the making of data into physical objects is the next important development in the data visualisation phenomenon.

Making Data Work

Edosa Odaro
Making Data Work Book PDF

Author : Edosa Odaro
Publisher : CRC Press
Page : 189 pages
File Size : 45,6 Mb
Release : 2022-04-04
Category : Computers
ISBN : 9781000566253

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Making Data Work by Edosa Odaro Pdf

If you care about AI transformation, empowering people or advancing organisational success in an increasingly digital world, then you should read this book.—Yomi Ibosiola, Chief Data and Analytics Officer, Union Bank A retail giant already struggling due to the Covid-19 pandemic was faced with a disastrous situation when—at the end of a critical investment in an artificial intelligence project that had been meant to save money—it suddenly discovered that its implementation was likely to leave it worse off. An entire critical service stream within an insurer’s production system crashed. This critical failure resulted in the detentions of fully insured motorists for allegedly not carrying required insurance. Making Data Work: Enabling Digital Transformation, Empowering People and Advancing Organisational Success details these two scenarios as well as others illustrating the consequences that arise when organizations do not know how to make data work properly. It is a journey to determine what to do to "make data work" for ourselves and for our organisations. It is a journey to discover how to bring it all together so organisations can enable digital transformation, empower people, and advance organisational success. It is the journey to a world where data and technology finally live up to the hype and deliver better human outcomes, where artificial intelligence can move us from reacting to situations to predicting future occurrences and enabling desirable possibilities.

Making Data Smarter with IBM Spectrum Discover: Practical AI Solutions

Ivaylo B. Bozhinov,Isom Crawford Jr.,Joseph Dain,Mathias Defiebre,Maxime Deloche,Kiran Ghag,Vasfi Gucer,Xin Liu,Abeer Selim,Gauthier Siri,Christopher Vollmar,IBM Redbooks
Making Data Smarter with IBM Spectrum Discover Practical AI Solutions Book PDF

Author : Ivaylo B. Bozhinov,Isom Crawford Jr.,Joseph Dain,Mathias Defiebre,Maxime Deloche,Kiran Ghag,Vasfi Gucer,Xin Liu,Abeer Selim,Gauthier Siri,Christopher Vollmar,IBM Redbooks
Publisher : IBM Redbooks
Page : 170 pages
File Size : 40,9 Mb
Release : 2020-10-19
Category : Computers
ISBN : 9780738459134

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Making Data Smarter with IBM Spectrum Discover: Practical AI Solutions by Ivaylo B. Bozhinov,Isom Crawford Jr.,Joseph Dain,Mathias Defiebre,Maxime Deloche,Kiran Ghag,Vasfi Gucer,Xin Liu,Abeer Selim,Gauthier Siri,Christopher Vollmar,IBM Redbooks Pdf

More than 80% of all data that is collected by organizations is not in a standard relational database. Instead, it is trapped in unstructured documents, social media posts, machine logs, and so on. Many organizations face significant challenges to manage this deluge of unstructured data, such as the following examples: Pinpointing and activating relevant data for large-scale analytics Lacking the fine-grained visibility that is needed to map data to business priorities Removing redundant, obsolete, and trivial (ROT) data Identifying and classifying sensitive data IBM® Spectrum Discover is a modern metadata management software that provides data insight for petabyte-scale file and Object Storage, storage on-premises, and in the cloud. This software enables organizations to make better business decisions and gain and maintain a competitive advantage. IBM Spectrum® Discover provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of unstructured data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research. This IBM Redbooks® publication presents several use cases that are focused on artificial intelligence (AI) solutions with IBM Spectrum Discover. This book helps storage administrators and technical specialists plan and implement AI solutions by using IBM Spectrum Discover and several other IBM Storage products.

Making data portability more effective for the digital economy

Jan Krämer,Pierre Senellart ,Alexandre de Streel
Making data portability more effective for the digital economy Book PDF

Author : Jan Krämer,Pierre Senellart ,Alexandre de Streel
Publisher : Centre on Regulation in Europe asbl (CERRE)
Page : 103 pages
File Size : 47,7 Mb
Release : 2020-06-15
Category : Political Science
ISBN : 8210379456XXX

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Making data portability more effective for the digital economy by Jan Krämer,Pierre Senellart ,Alexandre de Streel Pdf

This study provides recommendations on how to make personal data portability more effective. This will truly empower consumers to use the services they want and share their data with whoever they wish and stimulate innovation in Europe. With the entry into force of the GDPR, European citizens gained new rights, notably with data portability. But two years later, there is still little sign of people exercising this right, and of companies offering an easy and convenient service for data portability. While the European Commission is finalising its evaluation of the GDPR and closes its consultation on the European data strategy, the authors, professors Jan Krämer, Pierre Senellart and Alexandre de Streel*, warn that the current legal framework requires clarifications to better empower European citizens in a data-driven society. In this study, they identify barriers to data portability, including the lack of possibilities to import data as well as the lack of common standards and tools to access data as easy as the click of a button. The ability to provide users with a centralised dashboard for monitoring and controlling the flow of their data is also critically missing. “Today, consumers do not widely use data portability for reasons that can and should be overcome. Making data portability more effective is better for competition, for innovation and to empower users,” stress the authors. “There should be no second-guessing on whether to make data portability more effective, the time to act is now.” The current EU framework encourages data portability, but there are legal gaps that the EU should fill. The authors insist on the need for detailed guidance on how data portability can be facilitated and on which data is subject to data portability without violating privacy rights. They advocate that data provided by users when using a service, such as search history (i.e. “observed data”) should clearly be included under the scope of data portability. The authors consider it essential that the obligation to offer standardised Application Programming Interfaces (APIs) be much more widespread to enable consumers to continuously port their data. “We believe that standardised APIs that enable continuous data portability is a prerequisite for encouraging more organisations to import personal data, and for encouraging more consumers to initiate such transfers,” explain the authors. Projects, such as the Data Transfer Project have highlighted that continuous data portability is technically feasible. The authors argue that Personal Management Information Systems (PIMSs) facilitate the complex consent management and offer users a centralised dashboard for monitoring and controlling the flow of their data will have a crucial role to play for the wider adoption of data portability. “It must be as easy as clicking a button for consumers to continuously share data they created with one provider to another provider. This may also require educating and informing users on their rights through information campaigns alongside clear policy measures,” explain the authors. Nevertheless, they stress that PIMSs are not likely to find a sustainable business model, and thus, policy makers should support the emergence of open-source projects by setting common standards for data transfers, consent management, and identity management.

Making Sense of Data in the Media

Andrew Bell,Todd Hartman,Aneta Piekut,Alasdair Rae,Mark Taylor
Making Sense of Data in the Media Book PDF

Author : Andrew Bell,Todd Hartman,Aneta Piekut,Alasdair Rae,Mark Taylor
Publisher : SAGE
Page : 232 pages
File Size : 40,8 Mb
Release : 2019-11-04
Category : Social Science
ISBN : 9781526493002

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Making Sense of Data in the Media by Andrew Bell,Todd Hartman,Aneta Piekut,Alasdair Rae,Mark Taylor Pdf

The amount of data produced, captured and transmitted through the media has never been greater. But for this data to be useful, it needs to be properly understood and claims made about or with data need to be properly scrutinized. Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims. How accurate are polls, and how should we know? How should league tables be read? Are numbers presented as ‘large’ really as big as they may seem at first glance? By answering these questions and more, readers will learn a number of statistical concepts central to many undergraduate social science statistics courses. By tying them in to real life examples, the importance and relevance of these concepts comes to life. As such, this book does more than teaches techniques needed for a statistics course; it teaches you life skills that we need to use every single day.

Data-Based Decision Making and Digital Transformation

Daniel J. Power,Ciara Heavin
Data Based Decision Making and Digital Transformation Book PDF

Author : Daniel J. Power,Ciara Heavin
Publisher : Business Expert Press
Page : 106 pages
File Size : 40,9 Mb
Release : 2018-05-31
Category : Business & Economics
ISBN : 9781631576591

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Data-Based Decision Making and Digital Transformation by Daniel J. Power,Ciara Heavin Pdf

Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation. Join the digital journey. This book is targeted at managers, especially middle-level managers who are trying to come to grips with using data-based decision making in a transforming organization. The authors explore a number of broad questions including: How can managers become data-based decision makers? How can digital transformation become part of an organi­zational strategy? What new skills do managers need to implement digital transformation? How will we know an organization has been successfully transformed?

Data-Driven Decision Making for Long-Term Business Success

Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R.
Data Driven Decision Making for Long Term Business Success Book PDF

Author : Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R.
Publisher : IGI Global
Page : 515 pages
File Size : 43,8 Mb
Release : 2023-12-21
Category : Business & Economics
ISBN : 9798369321942

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Data-Driven Decision Making for Long-Term Business Success by Singh, Sonia,Rajest, S. Suman,Hadoussa, Slim,Obaid, Ahmed J.,Regin, R. Pdf

In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.

Using Web and Paper Questionnaires for Data-Based Decision Making

Susan J. Thomas
Using Web and Paper Questionnaires for Data Based Decision Making Book PDF

Author : Susan J. Thomas
Publisher : Corwin Press
Page : 217 pages
File Size : 41,8 Mb
Release : 2004-03-06
Category : Education
ISBN : 9780761938835

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Using Web and Paper Questionnaires for Data-Based Decision Making by Susan J. Thomas Pdf

Excerpt: ...tribe. He had faculties. He had also various idiosyncrasies. He was undeniably the best hunter and trapper and trainer of dogs to sledge, as well as the most expert upon snowshoes of all the Indians living upon the point, and he was, furthermore, one of the dirtiest of them and the biggest drunkard whenever opportunity afforded. Fortunately for him and for his squaw, Bigbeam, as she had been facetiously named by an agent of the company, the opportunities for getting drunk were rare, for the company is conservative in the distribution of that which makes bad hunters. Given an abundance of firewater and tobacco, Red Dog was the happiest Indian between the northern boundary of the United States and Lake Gary; deprived of them both he hunted vigorously, thinking all the while of the coming hour when, after a long journey and much travail, he should be in what was his idea of heaven again. To-day, though, the rifle bought from the company stood idle beside the ridge-pole, the sledge dogs snarled and fought upon the snow outside, and Bigbeam, squat and broad as became her name, looked askance at her lord as she prepared the moose meat, uncertain of his temper, for his face was cloudy. Red Dog was, in fact, perplexed, and was planning deeply. Good reason was there for Red Dog's thought. Events of the immediate future were of moment to him and all his fellows, among whom, though no chief was formally acknowledged, he was recognized as leader; for had he not at one time been with the company as a hired hunter? Had he not once gone with a fur-carrying party even to Hudson's Bay, and thence to the far south and even to Quebec? And did he not know the ways of the company, and could not he talk a French patois which enabled him to be understood at the stations? Now, as fitting representative of himself and of his clan, a great responsibility had come upon him, and he was lost in as anxious thought as could come to a biped of his quality. Like a more or less...

Making Data in Qualitative Research

Laura L. Ellingson,Patty Sotirin
Making Data in Qualitative Research Book PDF

Author : Laura L. Ellingson,Patty Sotirin
Publisher : Routledge
Page : 228 pages
File Size : 46,6 Mb
Release : 2020-03-09
Category : Social Science
ISBN : 9780429603327

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Making Data in Qualitative Research by Laura L. Ellingson,Patty Sotirin Pdf

Making Data in Qualitative Research offers a generative alternative to outdated approaches to data collection. By reimagining methods through a model of data engagement, qualitative researchers consider what is at stake—ethically, methodologically, and theoretically—when we co-create data and imagine possibilities for doing data differently. Ellingson and Sotirin draw on critical, intersectional perspectives, including feminist, poststructuralist, new materialist, and postqualitative theorizing, to refigure methodological practices of data collection for the contemporary moment. Ellingson and Sotirin’s data engagement model offers a vibrant framework through which data are made rather than found; assembled rather than collected or gathered; and becoming or dynamic rather than static. Further, pragmatism, compassion, and joy form a compelling ethical foundation for engaging with qualitative data reflecting the full range of critical, postpositivist, intepretivist, and arts-based research methods. Chapters illuminate creative possibilities for engaging fieldnotes, audio/video recordings and photographs, transcription, digital/online data, participatory data, and self-as-data. Making Data in Qualitative Research is a great resource for researchers who want to move past simplistic approaches to qualitative data collection and embrace provocative possibilities for engaging with data. Bridging abstract theorizing and pragmatic strategies for making a wide variety of data, this book will appeal to graduate (and advanced undergraduate) qualitative methods students and early career researchers, as well as to advanced scholars looking to update and expand the scope of their methods.

The Model Thinker

Scott E. Page
The Model Thinker Book PDF

Author : Scott E. Page
Publisher : Basic Books
Page : 585 pages
File Size : 54,6 Mb
Release : 2018-11-27
Category : Computers
ISBN : 9780465094639

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The Model Thinker by Scott E. Page Pdf

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

We Are Data

John Cheney-Lippold
We Are Data Book PDF

Author : John Cheney-Lippold
Publisher : NYU Press
Page : 313 pages
File Size : 48,7 Mb
Release : 2017-05-02
Category : Social Science
ISBN : 9781479802449

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We Are Data by John Cheney-Lippold Pdf

What identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital and physical world, but also determine who we are and who we can be, both on and offline. Algorithms create and recreate us, using our data to assign and reassign our gender, race, sexuality, and citizenship status. They can recognize us as celebrities or mark us as terrorists. In this era of ubiquitous surveillance, contemporary data collection entails more than gathering information about us. Entities like Google, Facebook, and the NSA also decide what that information means, constructing our worlds and the identities we inhabit in the process. We have little control over who we algorithmically are. Our identities are made useful not for us—but for someone else. Through a series of entertaining and engaging examples, John Cheney-Lippold draws on the social constructions of identity to advance a new understanding of our algorithmic identities. We Are Data will educate and inspire readers who want to wrest back some freedom in our increasingly surveilled and algorithmically-constructed world.