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A History of Data Visualization and Graphic Communication, Friendly Michael, Wainer Howard


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Автор: Friendly Michael, Wainer Howard   (Майкл Френдли, Ховард Вайнер)
Название:  A History of Data Visualization and Graphic Communication
Перевод названия: Майкл Френдли, Ховард Вайнер: История визуализации данных и графической коммуникации
ISBN: 9780674975231
Издательство: Wiley
Классификация:





ISBN-10: 0674975235
Обложка/Формат: Hardcover
Страницы: 288
Вес: 0.67 кг.
Дата издания: 25.06.2021
Язык: English
Иллюстрации: 70 photos, 18 color photos, 36 illus., 4 color illus., 5 tables
Размер: 240 x 164 x 34
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Statistical graphing was born in the seventeenth century as a scientific tool, but it quickly escaped all disciplinary bounds. Today graphics are ubiquitous in daily life. Michael Friendly and Howard Wainer detail the history of data visualization and argue that it has not only helped us solve problems, but it has also changed the way we think.


Topological Methods in Data Analysis and Visualization III

Автор: Peer-Timo Bremer; Ingrid Hotz; Valerio Pascucci; R
Название: Topological Methods in Data Analysis and Visualization III
ISBN: 3319381652 ISBN-13(EAN): 9783319381657
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization.

Statistical Mining and Data Visualization in Atmospheric Sciences

Автор: Timothy J. Brown; Paul W. Mielke Jr.
Название: Statistical Mining and Data Visualization in Atmospheric Sciences
ISBN: 1441949747 ISBN-13(EAN): 9781441949745
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area.

Linked Data Visualization

Автор: by Laura Po; Nikos Bikakis; Federico Desimoni
Название: Linked Data Visualization
ISBN: 1681737256 ISBN-13(EAN): 9781681737256
Издательство: Mare Nostrum (Eurospan)
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Цена: 8039.00 р.
Наличие на складе: Нет в наличии.

Описание: Linked Data (LD) is a well-established standard for publishing and managing structured information on the Web, gathering and bridging together knowledge from different scientific and commercial domains.

The development of Linked Data Visualization techniques and tools has been followed as the primary means for the analysis of this vast amount of information by data scientists, domain experts, business users, and citizens.

This book covers a wide spectrum of visualization issues, providing an overview of the recent advances in this area, focusing on techniques, tools, and use cases of visualization and visual analysis of LD. It presents the basic concepts related to data visualization and the LD technologies, the techniques employed for data visualization based on the characteristics of data techniques for Big Data visualization, use tools and use cases in the LD context, and finally a thorough assessment of the usability of these tools under different scenarios.

The purpose of this book is to offer a complete guide to the evolution of LD visualization for interested readers from any background and to empower them to get started with the visual analysis of such data. This book can serve as a course textbook or a primer for all those interested in LD and data visualization.

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.
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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.

Data Visualization `99

Автор: Eduard Gr?ller; Helwig L?ffelmann; William Ribarsk
Название: Data Visualization `99
ISBN: 3211833447 ISBN-13(EAN): 9783211833445
Издательство: Springer
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Цена: 12157.00 р.
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Описание: In the 1990s, visualization established its importance both in scientific research and in real world applications. In this book 21 research papers and nine case studies report on the latest results in volume and flow visualization and information visualization.

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.
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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

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.
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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.

Big Data for Remote Sensing: Visualization, Analysis and Interpretation

Автор: Dey
Название: Big Data for Remote Sensing: Visualization, Analysis and Interpretation
ISBN: 3319899228 ISBN-13(EAN): 9783319899220
Издательство: Springer
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Цена: 20962.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes.

Fullstack D3 and Data Visualization: Build beautiful data visualizations with D3

Автор: Wattenberger Amelia
Название: Fullstack D3 and Data Visualization: Build beautiful data visualizations with D3
ISBN: 0991344650 ISBN-13(EAN): 9780991344659
Издательство: Неизвестно
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Цена: 19438.00 р.
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Описание:

Build beautiful data visualizations with D3

The Fullstack D3 book is the complete guide to D3. With dozens of code examples showing each step, you can gain new insights into your data by creating visualizations.

Learn how to quickly turn data into insights with D3

We have the data. But it needs to be understood by humans. The best way to convert this data into an understandable format is to mold it into a data visualization.

And D3 is the best tool for job if you need to create custom data visualizations.

With Fullstack D3 and Data Visualization you and your team will be able to share key insights, uncover problems before they start, and impress your boss by creating gorgeous visualizations.

What's Inside

Chapter 0: Introduction When would you want to use D3.js?

There is a spectrum of libraries to create charts on the web: on one end, you have easy-to-use, basic libraries that will create a standard chart type.

Chapter 1: Making your first chart
In this chapter we make a line chart. Line charts are a great starting place because of their popularity, but also because of their simplicity.

Chapter 2: Making a scatterplot
When looking at the relationship between two metrics, a scatterplot is a good choice. In this chapter we show how to create a scatterplot.

Chapter 3: Making a bar chart
In this chapter we cover how to create a histogram, which is a bar chart that shows the distribution of one metric, with the metric values on the x axis and the frequency of values on the y axis.

Chapter 4: Animations and Transitions
When we update our charts, we can animate elements from their old to their new positions. These animations can be visually exciting, but more importantly, they have functional benefits.

Chapter 5: Interactions
The biggest advantage of creating charts with JavaScript is the ability to respond to user input.

Chapter 6: Making a map
Maps are also uniquely good at answering geography-based questions. In this chapter, we'll build a map and learn how to plot values within a location.

Chapter 7: Data Visualization Basics
Now that we're comfortable with how to create a chart, we should zoom out a bit and talk about what chart to create.

Chapter 8: Common Charts
In this chapter, we talk about common chart types and when to use them.

Chapter 9: Dashboard Design

A dashboard is any web interface that makes sense out of dynamic data, and in this chapter we learn how to make one.

Chapter 10: Advanced Visualization: Marginal Histogram
First, we'll focus on enhancing a chart we've already made: our scatter plot. This chart will have multiple goals, all exploring the daily temperature ranges in our weather dataset.

Chapter 11: Advanced Visualization: Radial Weather Chart
We talked about radar charts in Chapter 10. For this project, we'll build a more complex radar chart.

Chapter 12: Advanced Visualization: Animated Sankey Diagram
In this project, we'll be simulating real data and creating an animated diagram to engage our viewers.

Chapter 13: D3 and React
What's the best way to draw a chart within React? It turns out that there is a fair bit of overlap in functionality between a React and D3 - we'll discuss how we can create blazing fast charts using the two together.

Chapter 14: D3 and Angular
In this chapter we show how to create optimized SVG charts using D3 and Angular.


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