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Beautiful Visualization: Looking at Data Through the Eyes of Experts, Steele Julia, Iliinsky Noah


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Цена: 7602.00р.
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При оформлении заказа до: 2025-08-04
Ориентировочная дата поставки: Август-начало Сентября

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Автор: Steele Julia, Iliinsky Noah
Название:  Beautiful Visualization: Looking at Data Through the Eyes of Experts
Перевод названия: Джулия Стил: Прекрасная визуализация. Информация глазами экспертов
ISBN: 9781449379865
Издательство: Wiley
Классификация:
ISBN-10: 1449379869
Обложка/Формат: Paperback
Страницы: 400
Вес: 0.73 кг.
Дата издания: 30.04.2010
Язык: English
Иллюстрации: Illustrations
Размер: 232 x 179 x 17
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: With contributions from more than two dozen experts, this book demonstrates why visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.


Data Visualization: A Practical Introduction

Автор: Healy Kieran
Название: Data Visualization: A Practical Introduction
ISBN: 0691181624 ISBN-13(EAN): 9780691181622
Издательство: Wiley
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Цена: 6653.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

An accessible primer on how to create effective graphics from data

This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.

Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.

Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.

  • Provides hands-on instruction using R and ggplot2
  • Shows how the "tidyverse" of data analysis tools makes working with R easier and more consistent
  • Includes a library of data sets, code, and functions

Visualization Analysis and Design

Автор: Munzner
Название: Visualization Analysis and Design
ISBN: 1466508914 ISBN-13(EAN): 9781466508910
Издательство: Taylor&Francis
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Цена: 10717.00 р.
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Описание:

Learn How to Design Effective Visualization Systems

Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form.

The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework.

The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human-computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.

Semantics, Analytics, Visualization. Enhancing Scholarly Data

Автор: Alejandra Gonz?lez-Beltr?n; Francesco Osborne; Sil
Название: Semantics, Analytics, Visualization. Enhancing Scholarly Data
ISBN: 3319536362 ISBN-13(EAN): 9783319536361
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the refereed proceedings of the Second International Workshop on Semantics, Analytics, Visualization,- Enhancing Scholarly Data,- SAVE-SD 2016, held in Montreal, QC, Canada, in April 2016.

Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems

Автор: Isabelle Linden; Shaofeng Liu; Christian Colot
Название: Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems
ISBN: 3319574868 ISBN-13(EAN): 9783319574868
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the Third International Conference on Decision Support Systems, ICDSST 2017, held in Namur, Belgium, in May 2017.

Data Analysis and Visualization in Genomics and Proteomics

Автор: Francisco Azuaje
Название: Data Analysis and Visualization in Genomics and Proteomics
ISBN: 0470094397 ISBN-13(EAN): 9780470094396
Издательство: Wiley
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Цена: 23277.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems.

Power BI Data Analysis and Visualization

Автор: Gruyter De
Название: Power BI Data Analysis and Visualization
ISBN: 1547416785 ISBN-13(EAN): 9781547416783
Издательство: Walter de Gruyter
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Цена: 9516.00 р.
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Описание:

Power BI Data Analysis and Visualization provides a roadmap to vendor choices and highlights why Microsoft's Power BI is a very viable, cost effective option for data visualization. The book covers the fundamentals and most commonly used features of Power BI, but also includes an in-depth discussion of advanced Power BI features such as natural language queries; embedding Power BI dashboards; and live streaming data. It discusses real solutions to extract data from the ERP application, Microsoft Dynamics CRM, and also offers ways to host the Power BI Dashboard as an Azure application, extracting data from popular data sources like Microsoft SQL Server and open-source PostgreSQL.

Authored by Microsoft experts, this book uses real-world coding samples and screenshots to spotlight how to create reports, embed them in a webpage, view them across multiple platforms, and more. Business owners, IT professionals, data scientists, and analysts will benefit from this thorough presentation of Power BI and its functions.

Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures

Автор: Wilke Claus O.
Название: Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures
ISBN: 1492031089 ISBN-13(EAN): 9781492031086
Издательство: Wiley
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Цена: 10136.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Making Sense of Data II - A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications

Автор: Myatt
Название: Making Sense of Data II - A Practical Guide to Data Visualization, Advanced Data Mining Methods, and Applications
ISBN: 0470222808 ISBN-13(EAN): 9780470222805
Издательство: Wiley
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Цена: 14248.00 р.
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Описание: This book provides a general end-to-end discussion concerning the process of translating raw data to scientific and business decisions. The reader`s ability to find patterns in data will be greatly enhanced due to the book`s combination of statistical learning with powerful visualization techniques.

Mapping Urban Practices Through Mobile Phone Data

Автор: Paola Pucci; Fabio Manfredini; Paolo Tagliolato
Название: Mapping Urban Practices Through Mobile Phone Data
ISBN: 331914832X ISBN-13(EAN): 9783319148328
Издательство: Springer
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Цена: 7836.00 р.
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Описание: This book explains the potential value of using mobile phone data to monitor urban practices and identify rhythms of use in today`s cities.

Anticipating Future Innovation Pathways Through Large Data Analysis

Автор: Daim
Название: Anticipating Future Innovation Pathways Through Large Data Analysis
ISBN: 3319390546 ISBN-13(EAN): 9783319390543
Издательство: Springer
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Цена: 16070.00 р.
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Описание: This book aims to identify promising future developmental opportunities and applications for Tech Mining. Specifically, the enclosed contributions will pursue three converging themes:The increasing availability of electronic text data resources relating to Science, Technology and Innovation (ST&I).The multiple methods that are able to treat this data effectively and incorporate means to tap into human expertise and interests.Translating those analyses to provide useful intelligence on likely future developments of particular emerging S&T targets. Tech Mining can be defined as text analyses of ST&I information resources to generate Competitive Technical Intelligence (CTI). It combines bibliometrics and advanced text analytic, drawing on specialized knowledge pertaining to ST&I. Tech Mining may also be viewed as a special form of “Big Data” analytics because it searches on a target emerging technology (or key organization) of interest in global databases. One then downloads, typically, thousands of field-structured text records (usually abstracts), and analyses those for useful CTI. Forecasting Innovation Pathways (FIP) is a methodology drawing on Tech Mining plus additional steps to elicit stakeholder and expert knowledge to link recent ST&I activity to likely future development. A decade ago, we demeaned Management of Technology (MOT) as somewhat self-satisfied and ignorant. Most technology managers relied overwhelmingly on casual human judgment, largely oblivious of the potential of empirical analyses to inform R&D management and science policy. CTI, Tech Mining, and FIP are changing that. The accumulation of Tech Mining research over the past decade offers a rich resource of means to get at emerging technology developments and organizational networks to date. Efforts to bridge from those recent histories of development to project likely FIP, however, prove considerably harder. One focus of this volume is to extend the repertoire of information resources; that will enrich FIP.Featuring cases of novel approaches and applications of Tech Mining and FIP, this volume will present frontier advances in ST&I text analytics that will be of interest to students, researchers, practitioners, scholars and policy makers in the fields of R&D planning, technology management, science policy and innovation strategy.

Seeing Cities Through Big Data

Автор: Thakuriah
Название: Seeing Cities Through Big Data
ISBN: 331940900X ISBN-13(EAN): 9783319409009
Издательство: Springer
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Цена: 30745.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book introduces the latest thinking on the use of Big Data in the context of urban systems, including research and insights on human behavior, urban dynamics, resource use, sustainability and spatial disparities, where it promises improved planning, management and governance in the urban sectors (e.g., transportation, energy, smart cities, crime, housing, urban and regional economies, public health, public engagement, urban governance and political systems), as well as Big Data’s utility in decision-making, and development of indicators to monitor economic and social activity, and for urban sustainability, transparency, livability, social inclusion, place-making, accessibility and resilience.


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