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Data Insights: New Ways to Visualize and Make Sense of Data de Hunter Whitney

Data Insights: New Ways to Visualize and Make Sense of Data

Autor Hunter Whitney
en Limba Engleză Paperback – apr 2025
Data Insights: New Ways to Visualize and Make Sense of Data, Second Edition offers multi-disciplinary perspectives and useful information about how visualizations can open your eyes to data. This thought-provoking book takes a conversational approach to presenting an overview of the subject, while also focusing on key details. It highlights the ideas and work of a variety of people who are actively contributing to this still emerging field. Case studies from business analytics, healthcare, games, security, and network monitoring, among others, portray what is going on in data visualization today. A diverse blend of original illustrations and real-world examples, both classical and cutting-edge, help fill in the picture. This book provides an approachable overview of important aspects of data visualization, and: Demonstrates, with a variety of case studies, how visualizations can foster a clearer and more comprehensive understanding of data• Answers the question, How can data visualization help me? with discussions of how it fits into a wide array of purposes and situations; Makes the case that data visualization is not just about technology; it also involves a deeply human process The second chapter of revised version of the book, the Human-Centered Design for Data Visualization focuses on two key areas affecting inclusion and diversity:· Debiasing your data and your visualizations· Neurodiversity and inclusion considerations for working with data and visualizations. Issues include: Color Blindness• Data Sonification; Multimodal data interfaces. These issues will be touched on throughout the book and will be brought up in the thought leaders interview sections. The book will explore the ways data analytics and visualization can decrease and decrease inequality.


  • Presenting changes about this rapidly expanding field and how they affect both creators and consumers of data products
  • Updated, specific case studies that showcase challenges and solutions for getting accurate and valuable insights in data
  • Helpful cheat sheets to use for data projects
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Specificații

ISBN-13: 9780443216275
ISBN-10: 0443216274
Pagini: 352
Dimensiuni: 191 x 235 mm
Ediția:2
Editura: ELSEVIER SCIENCE

Cuprins

Introduction to the 2nd Edition: From Petabytes to Insights (What’s changed in years after the first edition?)• Retrospective discussions with thought leaders about changes they’ve seen in the field and what they might signify• Topics reviewed -o Democratizing of data -The mainstreaming and commodification of data o New Jobs and roles in working with datao The evolving relationship of AI and data visualizationo Changes in “data wrangling”o Evolving data visualization toolso Data Literacy and Data Communication
Human-Centered Design for Data Visualization• Views you can use o Exploring how data technologies affect your own life and work Examples – recommender systems, work monitoring, social media ecosystems and echo chambers• Algorithmic job boardso Human-Centered Design Descriptions Connecting the visualization to the audience) Techniques for communicating data• Debiasing your data and your visualizations• Neurodiversity and inclusion considerations for working with data and visualizationso Trade-offs between simplicity versus complexityo Color and language selectiono Using different approaches to show the information in different ways for a more complete pictureo Multimodal interfaces with case studies
Measuring What Counts• Turning abstract numbers into actionable insights• Using Quantitative and Qualitative measures• What data do you need? Considerations for data collection• Data Blind spots – It’s the gaps in data that may be more important than what you have. Am I missing critical data? • Design and Data – Considerations for what metrics go on your dashboard and reports• UX Outcomeso Measuring impact and scaleo Metrics of successo Problem-Value Metricso Progress Metrics
Goals of Data Visualization -1.) Exploratory Data Visualization• “A More Beautiful Question” (Interrogating the data without coercion)o Describing the key differences between exploratory and explanatory visualizations and the spectrum in betweeno Case study updates and new ones of exploratory data analysis using interactive visualizationso Links to papers
2.) Explanatory Data Visualization• Data Storytelling - presenting an accurate and compelling narrative of the datao The strengths, weaknesses, and caveats of data storytellingo Selected data storytelling techniqueso Case study updates and new oneo Links to papers showing data visualization that help provide overall clarity and context to data-intensive projects…even for people who are not experts in the field
3.) Extrapolatory Data Visualization• Using data analysis to help make predictions and scenario testo Making well-informed projectionso Looking at potential outcome with different parameterso Visually showing uncertainty
Potential and Perils• Data and Ethics• Data Governance• Privacy versus convenience• How will humans collaborate with data tech?Where does it go from here?

Recenzii

"Whitney has developed deep expertise in data visualization in particular and user interface design in general over many years of experience…Not only does Whitney write well, he’s also designed a book that supports the principles of design that he advocates. The book is beautiful…This is a fine book that adds real value to the field of data visualization. I recommend it highly to anyone who wants to become a skilled and effective practitioner." --Visual Business Intelligence blog, February 11, 2014
"Hunter Whitney thoughtfully interprets 20 years of technical successes in information visualization for a broader audience. He tells the grand story of scientific breakthroughs in an engaging way for a wide audience, packed with thought-provoking quotes and eye-catching examples that powerfully present this profound advance in human capacity for insight." --Ben Shneiderman, University of Maryland