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


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Цена: 35600T
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Автор: Friendly Michael, Wainer Howard   (Майкл Френдли, Ховард Вайнер)
Название:  A History of Data Visualization and Graphic Communication   (Майкл Френдли, Ховард Вайнер: История визуализации данных и графической коммуникации)
Издательство: Wiley
Классификация:
ISBN: 0674975235
ISBN-13(EAN): 9780674975231
Обложка/Формат: Hardcover
Страницы: 288
Вес: 0.666 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)
Рейтинг:
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.

Data Visualization: A Practical Introduction

Автор: Healy Kieran
Название: Data Visualization: A Practical Introduction
ISBN: 0691181624 ISBN-13(EAN): 9780691181622
Издательство: Wiley
Рейтинг:
Цена: 30100 T
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


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
Рейтинг:
Цена: 50680 T
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.

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
Рейтинг:
Цена: 83850 T
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.

Data Visualization with Python

Автор: Dobler Mario, Gromann Tim
Название: Data Visualization with Python
ISBN: 1789956463 ISBN-13(EAN): 9781789956467
Издательство: Неизвестно
Рейтинг:
Цена: 27430 T
Наличие на складе: Невозможна поставка.
Описание: With so much data being continuously generated, developers with a knowledge of data analytics and data visualization are always in demand. With Data Visualization with Python, you`ll learn how to use Python with NumPy, Pandas, Matplotlib, and Seaborn to create impactful data visualizations with a real world, public data.

Virtual Material Acquisition and Representation for Computer Graphics

Автор: Dar`ya Guarnera, Giuseppe Claudio Guarnera
Название: Virtual Material Acquisition and Representation for Computer Graphics
ISBN: 1681732645 ISBN-13(EAN): 9781681732640
Издательство: Eurospan
Рейтинг:
Цена: 58210 T
Наличие на складе: Поставка под заказ.
Описание: This book provides beginners in computer graphics and related fields a guide to the concepts, models, and technologies for realistic rendering of material appearance. It provides a complete and thorough overview of reflectance models and acquisition setups, along with providing a selection of the available tools to explore, visualize, and render the reflectance data. Reflectance models are under continuous development, since there is still no straightforward solution for general material representations. Every reflectance model is specific to a class of materials. Hence, each has strengths and weaknesses, which the book highlights in order to help the reader choose the most suitable model for any purpose. The overview of the acquisition setups will provide guidance to a reader who needs to acquire virtual materials and will help them to understand which measurement setup can be useful for a particular purpose, while taking into account the performance and the expected cost derived from the required components. The book also describes several recent open source software solutions, useful for visualizing and manipulating a wide variety of reflectance models and data.

An Introduction to Laplacian Spectral Distances and Kernels: Theory, Computation, and Applications

Автор: Giuseppe Patane
Название: An Introduction to Laplacian Spectral Distances and Kernels: Theory, Computation, and Applications
ISBN: 1681731398 ISBN-13(EAN): 9781681731391
Издательство: Eurospan
Рейтинг:
Цена: 41240 T
Наличие на складе: Поставка под заказ.
Описание: Provides a common background on the definition and computation of the Laplacian spectral kernels and distances for geometry processing and shape analysis. The book defines a unified representation of the isotropic and anisotropic discrete Laplacian operator on surfaces and volumes; then introduces the associated differential equations.

User-Centered Evaluation of Visual Analytics

Автор: Jean Scholtz
Название: User-Centered Evaluation of Visual Analytics
ISBN: 1681731479 ISBN-13(EAN): 9781681731476
Издательство: Eurospan
Рейтинг:
Цена: 36390 T
Наличие на складе: Поставка под заказ.
Описание: Describes the efforts that go into analysis, including critical thinking, sensemaking, and various analytics techniques learned from the intelligence community. The purpose of this book is to help readers understand the need for more user-centered evaluations to drive both better-designed products and to define areas for future research.

Individual and Collective Graph Mining: Principles, Algorithms, and Applications

Автор: Danai Koutra, Christos Faloutsos
Название: Individual and Collective Graph Mining: Principles, Algorithms, and Applications
ISBN: 1681732475 ISBN-13(EAN): 9781681732473
Издательство: Eurospan
Рейтинг:
Цена: 94600 T
Наличие на складе: Поставка под заказ.
Описание: Presents scalable, principled discovery algorithms that combine globality with locality to make sense of one or more graphs. In addition to fast algorithmic methodologies, the book also contribute graph-theoretical ideas and models, and real-world applications in two main areas - Individual Graph Mining and Collective Graph Mining.

Representation, Inclusion, and Innovation: Multidisciplinary Explorations

Автор: Clayton Lewis
Название: Representation, Inclusion, and Innovation: Multidisciplinary Explorations
ISBN: 1681732483 ISBN-13(EAN): 9781681732480
Издательство: Eurospan
Рейтинг:
Цена: 45280 T
Наличие на складе: Поставка под заказ.
Описание: A representation is a thing that can be interpreted as providing information about something: a map, or a graph, for example. This book is about the expanding world of computational representations, representations that use the power of computation to provide information in new forms, and in new ways.

Representation, Inclusion, and Innovation: Multidisciplinary Explorations

Автор: Clayton Lewis
Название: Representation, Inclusion, and Innovation: Multidisciplinary Explorations
ISBN: 1681732505 ISBN-13(EAN): 9781681732503
Издательство: Eurospan
Рейтинг:
Цена: 67110 T
Наличие на складе: Поставка под заказ.
Описание: A representation is a thing that can be interpreted as providing information about something: a map, or a graph, for example. This book is about the expanding world of computational representations, representations that use the power of computation to provide information in new forms, and in new ways.

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
Рейтинг:
Цена: 110450 T
Наличие на складе: Есть у поставщика Поставка под заказ.
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.


Linked Data Visualization

Автор: by Laura Po; Nikos Bikakis; Federico Desimoni
Название: Linked Data Visualization
ISBN: 1681737256 ISBN-13(EAN): 9781681737256
Издательство: Eurospan
Рейтинг:
Цена: 46900 T
Наличие на складе: Поставка под заказ.
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.


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