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Best d3 in action
1. Storytelling with Data: A Data Visualization Guide for Business Professionals
Description
Don't simply show your datatell a story with it!Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to:
- Understand the importance of context and audience
- Determine the appropriate type of graph for your situation
- Recognize and eliminate the clutter clouding your information
- Direct your audience's attention to the most important parts of your data
- Think like a designer and utilize concepts of design in data visualization
- Leverage the power of storytelling to help your message resonate with your audience
2. Visualization Analysis and Design (AK Peters Visualization Series)
Feature
AK PetersDescription
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, humancomputer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.
3. D3.js in Action: Data visualization with JavaScript
Description
Summary
D3.js in Action, Second Edition is completely revised and updated for D3 v4 and ES6. It's a practical tutorial for creating interactive graphics and data-driven applications using D3.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Visualizing complex data is hard. Visualizing complex data on the web is darn near impossible without D3.js. D3 is a JavaScript library that provides a simple but powerful data visualization API over HTML, CSS, and SVG. Start with a structure, dataset, or algorithm; mix in D3; and you can programmatically generate static, animated, or interactive images that scale to any screen or browser. It's easy, and after a little practice, you'll be blown away by how beautiful your results can be!
About the Book
D3.js in Action, Second Edition is a completely updated revision of Manning's bestselling guide to data visualization with D3. You'll explore dozens of real-world examples, including force and network diagrams, workflow illustrations, geospatial constructions, and more. Along the way, you'll pick up best practices for building interactive graphics, animations, and live data representations. You'll also step through a fully interactive application created with D3 and React.
What's Inside
- Updated for D3 v4 and ES6
- Reusable layouts and components
- Geospatial data visualizations
- Mixed-mode rendering
About the Reader
Suitable for web developers with HTML, CSS, and JavaScript skills. No specialized data science skills required.
About the Author
Elijah Meeks is a senior data visualization engineer at Netflix.
Table of Contents
- An introduction to D3.js
- Information visualization data flow
- Data-driven design and interaction
- Chart components
- Layouts
- Hierarchical visualization
- Network visualization
- Geospatial information visualization
- Interactive applications with React and D3
- Writing layouts and components
- Mixed mode rendering
PART 1 - D3.JS FUNDAMENTALS
PART 2 - COMPLEX DATA VISUALIZATION
PART 3 - ADVANCED TECHNIQUES
4. Interactive Data Visualization for the Web: An Introduction to Designing with D3
Description
Create and publish your own interactive data visualization projects on the webeven if you have little or no experience with data visualization or web development. Its inspiring and fun with this friendly, accessible, and practical hands-on introduction. This fully updated and expanded second edition takes you through the fundamental concepts and methods of D3, the most powerful JavaScript library for expressing data visually in a web browser.
Ideal for designers with no coding experience, reporters exploring data journalism, and anyone who wants to visualize and share data, this step-by-step guide will also help you expand your web programming skills by teaching you the basics of HTML, CSS, JavaScript, and SVG.
- Learn D3 4.xthe latest D3 versionwith downloadable code and over 140 examples
- Create bar charts, scatter plots, pie charts, stacked bar charts, and force-directed graphs
- Use smooth, animated transitions to show changes in your data
- Introduce interactivity to help users explore your data
- Create custom geographic maps with panning, zooming, labels, and tooltips
- Walk through the creation of a complete visualization project, from start to finish
- Explore inspiring case studies with nine accomplished designers talking about their D3-based projects
5. D3.js in Action
Feature
Manning PublicationsDescription
Summary
D3.js in Action is a practical tutorial for creating interactive graphics and data-driven applications using D3.js. You'll start with in-depth explanations of D3's out-of-the-box layouts, along with dozens of practical use cases that align with different types of visualizations. Then, you'll explore practical techniques for content creation, animation, and representing dynamic dataincluding interactive graphics and data streamed live over the web. The final chapters show you how to use D3's rich interaction model as the foundation for a complete web application. In the end, you'll be ready to integrate D3.js into your web development process and transform any site into a more engaging and sophisticated user experience.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
D3.js is a JavaScript library that allows data to be represented graphically on a web page. Because it uses the broadly supported SVG standard, D3 allows you to create scalable graphs for any modern browser. You start with a structure, dataset, or algorithm and programmatically generate static, interactive, or animated images that responsively scale to any screen.
About the Book
D3.js in Action introduces you to the most powerful web data visualization library available and shows you how to use it to build interactive graphics and data-driven applications. You'll start with dozens of practical use cases that align with different types of charts, networks, and maps using D3's out-of-the-box layouts. Then, you'll explore practical techniques for content design, animation, and representation of dynamic dataincluding interactive graphics and live streaming data.
What's Inside
- Interacting with vector graphics
- Expressive data visualization
- Creating rich mapping applications
- Prepping your data
- Complete data-driven web apps in D3
Readers need basic HTML, CSS, and JavaScript skills. No experience with D3 or SVG is required.
About the Author
Elijah Meeks is a senior data visualization engineer at Netflix. His D3.js portfolio includes work at Stanford University and with well-known companies worldwide.
Table of Contents
- An introduction to D3.js
- Information visualization data flow
- Data-driven design and interaction
- Chart components
- Layouts
- Network visualization
- Geospatial information visualization
- Traditional DOM manipulation with D3
- Composing interactive applications
- Writing layouts and components
- Big data visualization
- D3.js on mobile (available online only)
PART 1 D3.JS FUNDAMENTALS
PART 2 THE PILLARS OF INFORMATION VISUALIZATION
PART 3 ADVANCED TECHNIQUES
6. Data Visualization with Python and JavaScript: Scrape, Clean, Explore & Transform Your Data
Feature
O Reilly MediaDescription
Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript librariesincluding Scrapy, Matplotlib, Pandas, Flask, and D3for crafting engaging, browser-based visualizations.
As a working example, throughout the book Dale walks you through transforming Wikipedias table-based list of Nobel Prize winners into an interactive visualization. Youll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScripts D3 library. If youre ready to create your own web-based data visualizationsand know either Python or JavaScript this is the book for you.
- Learn how to manipulate data with Python
- Understand the commonalities between Python and JavaScript
- Extract information from websites by using Pythons web-scraping tools, BeautifulSoup and Scrapy
- Clean and explore data with Pythons Pandas, Matplotlib, and Numpy libraries
- Serve data and create RESTful web APIs with Pythons Flask framework
- Create engaging, interactive web visualizations with JavaScripts D3 library
7. Data Visualization with JavaScript
Description
You've got data to communicate. But what kind of visualization do you choose, how do you build it, and how do you ensure that it's up to the demands of the Web?
In Data Visualization with JavaScript, you'll learn how to use JavaScript, HTML, and CSS to build the most practical visualizations for your data. Step-by-step examples walk you through creating, integrating, and debugging different types of visualizations and will have you building basic visualizations, like bar, line, and scatter graphs, in no time.
Then you'll move on to more advanced topics, including how to:
- Create tree maps, heat maps, network graphs, word clouds, and timelines
- Map geographic data, and build sparklines and composite charts
- Add interactivity and retrieve data with AJAX
- Manage data in the browser and build data-driven web applications
- Harness the power of the Flotr2, Flot, Chronoline.js, D3.js, Underscore.js, and Backbone.js libraries
If you already know your way around building a web page but aren't quite sure how to build a good visualization, Data Visualization with JavaScript will help you get your feet wet without throwing you into the deep end. Before you know it, you'll be well on your way to creating simple, powerful data visualizations.
