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D3.js By Example.

Create attractive web-based data visualizations using the amazing JavaScript library D3.jsAbout This Book Learn to use the facilities provided by D3.js to create data-driven visualizations Explore the concepts of D3.js through examples that enable you to quickly create visualizations including chart...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Heydt, Michael
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2015.
Temas:
Acceso en línea:Texto completo

MARC

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505 0 |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with D3.js; A brief overview of D3.js; Selections; Data and data binding; Interaction and animation; Modules; Tools for creating and sharing D3.js visualizations; Js Bin; bl.ocks.org; Google Chrome and Developer tools; Hello World -- D3.js style; Examining the DOM generated by D3.js; Summary; Chapter 2: Selections and Data Binding; D3.js selections; Changing the style of a DOM element; Changing the style of multiple items; D3.js and data binding. 
505 8 |a Data bindingSpecifying the entering elements with .enter(); Adding new items using .enter(); Updating values; Removing items with .exit(); A few notes for the wise about the general update pattern; Summary; Chapter 3: Creating Visuals with SVG; Introducing SVG; The SVG coordinate system; SVG attributes; Drawing circles with SVG; The basic shapes provided by SVG; Ellipse; Rectangle; Lines; Paths; Text; Applying CSS styles to SVG elements; Strokes, caps, and dashes; Applying SVG transforms; Rotate; Translate; Scale; Groups; Transparency; Layers; Summary; Chapter 4: Creating a Bar Graph. 
505 8 |a The basic bar graphAdding labels to the bars; Margins and axes; Creating margins in the bar graph; Creating an axis; Changing the axis orientation; Inverting the labels on an axis; Adding the axis to the graph; Summary; Chapter 5: Using Data and Scales; Data; Loading data with D3.js; Loading JSON data; Loading TSV data; Loading CSV data; Mapping fields and converting strings to numbers; Scales; Linear scales; Ordinal scales; Mapping color strings to codes; Mapping integers to color scales; The ordinal scale using rangeBands; Visualizing The Walking Dead viewership; Summary. 
505 8 |a Chapter 6: Creating Scatter and Bubble PlotsCreating scatter plots; Plotting points; Sprucing up the scatter plot; Adding gridlines; Creating a bubble plot; Summary; Chapter 7: Creating Animated Visuals; Introduction to animation; Animating using transitions; Animating the fill color of a rectangle; Animating multiple properties simultaneously; Delaying a transition; Creating chained transitions; Handling the start and end events of transitions; Changing the content and size of text using tweening; Timers; Adding a fifth dimension to a bubble plot -- time; Summary. 
505 8 |a Chapter 8: Adding User InteractivityHandling mouse events; Tracking the mouse position using mousemove; Capturing the mouse entering and exiting an SVG element; Letting the user know they have clicked the mouse; Using behaviors to drag, pan, and zoom; Drag; Pan and zoom; Enhancing a bar graph with interactivity; Highlighting selected items using brushes; Online examples of brushes; Implementing focus + context; Summary; Chapter 9: Complex Shapes Using Paths; An overview of path data generators; Creating a sequence of lines; Areas; Creating arcs, donuts, wedges, and segments. 
500 |a Creating a pie chart. 
520 |a Create attractive web-based data visualizations using the amazing JavaScript library D3.jsAbout This Book Learn to use the facilities provided by D3.js to create data-driven visualizations Explore the concepts of D3.js through examples that enable you to quickly create visualizations including charts, network diagrams, and maps Get practical examples of visualizations using real-world data sets that show you how to use D3.js to visualize and interact with information to glean its underlying meaningWho This Book Is For Whether you are new to data and data visualization, a seasoned data scientist, or a computer graphics specialist, this book will provide you with the skills you need to create web-based and interactive data visualizations. This book assumes some knowledge of coding and in particular, experience coding in JavaScript. What You Will Learn Install and use D3.js to create HTML elements within the document Use development tools such as JSBIN and Chrome Developer Tools to create D3.js applications Retrieve JSON data and use D3.js selections and data binding to create visual elements from data Create and style graphical elements such as circles, ellipses, rectangles, lines, paths, and text using SVG Turn your data into bar and scatter charts, and add margins, axes, labels, and legends Use D3.js generators to perform the magic of creating complex visualizations from data Add interactivity to your visualizations, including tool-tips, sorting, hover-to-highlight, and grouping and dragging of visualsIn Detail This book will take you through all the concepts of D3.js starting with the most basic ones and progressively building on them in each chapter to expand your knowledge of D3.js. Starting with obtaining D3.js and creating simple data bindings to non-graphical HTML elements, you will then master the creation of graphical elements from data. You'll discover how to combine those elements into simple visualizations such as bar, line, and scatter charts, as well as more elaborate visualizations such as network diagrams, Sankey diagrams, maps, and choreopleths. Using practical examples provided, you will quickly get to grips with the features of D3.js and use this learning to create your own spectacular data visualizations with D3.js. Style and approach This book uses a practical, step-by-step approach that builds iteratively, starting with the basic concepts right through to mastery of the technology. Each concept is demonstrated using code examples that are interactively available online (and can also be run locally), and each chapter builds upon the concepts covered in the previous chapter, with succinct explanations of what the code does and how it fits into the bigger picture. 
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