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Data Visualization with Flash Builder, Rocchi, Cesare


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Цена: 6123.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Rocchi, Cesare
Название:  Data Visualization with Flash Builder
ISBN: 9780240815039
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0240815033
Обложка/Формат: Paperback
Страницы: 306
Вес: 0.77 кг.
Дата издания: 14.01.2011
Язык: English
Иллюстрации: 250 illustrations, color
Размер: 241 x 189 x 20
Читательская аудитория: Professional & vocational
Подзаголовок: Designing ria and air applications with remote data sources
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Поставляется из: Европейский союз


Data Visualization with D3.Js

Автор: Teller Swizec
Название: Data Visualization with D3.Js
ISBN: 1782160000 ISBN-13(EAN): 9781782160007
Издательство: Неизвестно
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Цена: 4137.00 р.
Наличие на складе: Нет в наличии.

Visualization and Verbalization of Data

Автор: Blasius, Jorg
Название: Visualization and Verbalization of Data
ISBN: 1466589809 ISBN-13(EAN): 9781466589803
Издательство: Taylor&Francis
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Цена: 22202.00 р.
Наличие на складе: Поставка под заказ.

Graphical Thinking for Science and Technology Through Knowledge Visualization

Автор: Anna Ursyn
Название: Graphical Thinking for Science and Technology Through Knowledge Visualization
ISBN: 1799816516 ISBN-13(EAN): 9781799816515
Издательство: Mare Nostrum (Eurospan)
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Цена: 30215.00 р.
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Описание: With the advancement of technology in the modern world, the constant influx of data, information, and computing can become droning and one-dimensional. Re-examining these methods through a different approach helps highlight broader perspectives and further understanding. Applying abstract and holistic methods, such as nature and visualization, to computing technologies is a developing area of study but has yet to be empirically researched.

Graphical Thinking for Science and Technology Through Knowledge Visualization provides emerging research exploring the theoretical and practical aspects of implementing visuals and images within data and information. The text contains projects, examples of students' solutions, and invites the reader to apply graphical thinking. Featuring coverage on a broad range of topics such as nanoscale structures, computer graphics, and data visualization, this book is ideally designed for software engineers, instructional designers, researchers, scientists, artists, marketers, media professionals, and students seeking current research on applying artistic solutions within information and computing.

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.
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.

Data visualization with d3.js cookbook

Автор: Zhu, Nick Qi
Название: Data visualization with d3.js cookbook
ISBN: 178216216X ISBN-13(EAN): 9781782162162
Издательство: Неизвестно
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Цена: 6281.00 р.
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Описание: At the Material Research Society Spring 2013 meeting, held in San Francisco April 1-5, 2013, three symposia were held focusing on thermal-to-electric energy conversion and thermal transport: Symposium H: Nanoscale Thermoelectrics - Materials and Transport Phenomena - II, Symposium I: Materials for Solid-State Refrigeration, and Symposium V: Nanoscale Heat Transport - From Fundamentals to Devices.

Matplotlib for Python Developers, Second Edition

Автор: Yim Aldrin, Yu Allen, Chung Claire
Название: Matplotlib for Python Developers, Second Edition
ISBN: 178862517X ISBN-13(EAN): 9781788625173
Издательство: Неизвестно
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Цена: 8091.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book is a useful resource to perform data visualization with Python using the latest version of Matplotlib (2.1.x). You will create a variety of graphs and charts, and embed your plots within different third party tools. By the end of the book, you will build attractive, insightful and powerful visualizations to make better sense of your data.

Learning D3.JS 4.x Data Visualization

Автор: Rininsland Жndrew, Teller Swizec
Название: Learning D3.JS 4.x Data Visualization
ISBN: 178712035X ISBN-13(EAN): 9781787120358
Издательство: Неизвестно
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Цена: 8091.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Create and publish your own interactive and compelling data visualizations with D3.js 4.x


Key Features:

  • Build interactive and rich graphics and visualization using JavaScript s powerful library D3.js
  • Learn D3 from the ground up, using the all-new version 4 of the library
  • Gain insight into producing high-quality, extensible charts and visualizations using best practices such as writing testable, extensible code and strong typing


Book Description:

Want to get started with impressive interactive visualizations and implement them in your daily tasks? This book offers the perfect solution-D3.js. It has emerged as the most popular tool for data visualization.


This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and technique


You will start by setting up the D3 environment and making your first basic bar chart. You will then build stunning SVG and Canvas-based data visualizations while writing testable, extensible code, as accurate and informative as it is visually stimulating. Step-by-step examples walk you through creating, integrating, and debugging different types of visualization and will have you building basic visualizations (such as bar, line, and scatter graphs) in no time.


By the end of this book, you will have mastered the techniques necessary to successfully visualize data and will be ready to use D3 to transform any data into an engaging and sophisticated visualization.


What You Will Learn:

  • Map data to visual elements using D3's scales
  • Draw SVG elements using D3's shape generators
  • Transform data using D3's collection methods
  • Use D3's various layout patterns to quickly generate various common types of chart
  • Write modern JavaScript using ES2017 and Babel
  • Explore the basics of unit testing D3 visualizations using Mocha and Chai
  • Write and deploy a simple Node.js web service to render charts via HTML Canvas
  • Understand what makes a good data visualization and how to use the tools at your disposal to create accurate charts


Who this book is for:

This book is for web developers, interactive news developers, data scientists, and anyone interested in representing data through interactive visualizations on the Web with D3. Some basic knowledge of JavaScript is expected, but no prior experience with data visualization or D3 is required to follow this book

Data Visualization with D3 4.x Cookbook

Автор: Zhu Nick
Название: Data Visualization with D3 4.x Cookbook
ISBN: 1786468255 ISBN-13(EAN): 9781786468253
Издательство: Неизвестно
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Цена: 9010.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Expert Data Visualization

Автор: Dirksen Jos
Название: Expert Data Visualization
ISBN: 1786463490 ISBN-13(EAN): 9781786463494
Издательство: Неизвестно
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Цена: 10114.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Learning IPython for Interactive Computing and Data Visualization - Second Edition

Автор: Rossant Cyrille
Название: Learning IPython for Interactive Computing and Data Visualization - Second Edition
ISBN: 1783986980 ISBN-13(EAN): 9781783986989
Издательство: Неизвестно
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Цена: 8275.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

IPython Interactive Computing and Visualization Cookbook: Harness IPython for powerful scientific computing and Python data visualization with this co

Автор: Rossant Cyrille
Название: IPython Interactive Computing and Visualization Cookbook: Harness IPython for powerful scientific computing and Python data visualization with this co
ISBN: 1783284811 ISBN-13(EAN): 9781783284818
Издательство: Неизвестно
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Цена: 10114.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book will educate and show you how to set up an Angular project by building Angular components right from the beginning, providing full coverage of the TypeScript syntax required to follow the examples included.

Python Data Visualization Cookbook

Автор: Milovanovi Igor
Название: Python Data Visualization Cookbook
ISBN: 1782163360 ISBN-13(EAN): 9781782163367
Издательство: Неизвестно
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Цена: 8091.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.


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