04319nam 2200601 450 991080699110332120180613001142.0(CKB)2670000000612723(EBL)2037701(SSID)ssj0001536438(PQKBManifestationID)11817581(PQKBTitleCode)TC0001536438(PQKBWorkID)11509816(PQKB)11463438(MiAaPQ)EBC2037701(CaSebORM)9781784398484(PPN)197898467(EXLCZ)99267000000061272320150516h20152015 uy 0engur|n|---|||||txtccrData visualization with D3 and AngularJS build dynamic and interactive visualizations from real-world data with D3 on AngularJS /Christoph Körner1st editionBirmingham, England :Packt Publishing,2015.©20151 online resource (278 p.)Community Experience DistilledIncludes index.1-78439-848-9 1-78439-578-1 Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: The Magic of SVG, D3.js, and AngularJS; Building a real-time dashboard to visualize server logs; Terminology and definitions; Document Object Model; Vector graphics and Scalable Vector Graphics; Pixel graphics; Understanding Data-Driven Documents; Why do we use D3.js?; The killer feature - data joins; Finding resources; D3.js meets AngularJS; Testable and maintainable components; Custom directives; Custom filters; Custom loading and parsing serviceA brief overview of visualization tools for the WebJava and Flash; Raphaël (JavaScript - SVG/VML); Protovis (JavaScript - SVG); D3.js (JavaScript - HTML/SVG); Canvas API (JavaScript - Canvas); Three.js (JavaScript - WebGL); Summary; Chapter 2: Getting Started with D3.js; Building a simple scatter plot application; Creating an HTML template for D3.js; Selecting and modifying DOM elements; A closer look at Selections; selection.attr(name[, value]); selection.style(name[, value[, priority]]); selection.property(name[, value]); selection.text([value]); selection.append(name)array.reduce(callback [, initialValue])More array manipulation with D3.js; d3.min(array[, accessor]); d3.max(array[, accessor]); d3.sum(array[, accessor]); d3.mean(array[, accessor]); d3.median(array[, accessor]); d3.shuffle(array); d3.permute(array, indexes); d3.merge(array); d3.range([start, ]stop[, step); d3.zip(array, array, ...); d3.pairs(array); d3.keys(object); d3.values(object); d3.entries(object); Grouping elements with d3.nest; Formatting numbers and dates; Specifying a number format; Types of formatting; Precision; Thousands separator; Width; Zero padding; Currency symbol; SignsThe align propertyThe fill option; Customizing date and time formats; Working with scales; Quantitative scales for continuous data (numbers); scale.domain([numbers]); scale.range([numbers]); scale.clamp([boolean]); scale.nice([count]); scale.ticks([count]); scale.tickFormat(count [,specifier]); Ordinal scales for discrete data (strings); scale.rangePoints(interval [, padding]); scale.rangeBands(interval [, padding [, outerPadding ]]); scale.rangeBand(); scale.rangeExtent(); Predefined ordinal color scales; Time scales for time data (date and time); All about axes; Drawing the axisAdding axes to the scatter chartIf you are a web developer with experience in AngularJS and want to implement interactive visualizations using D3.js, this book is for you. Knowledge of SVG or D3.js will give you an edge to get the most out of this book.Community experience distilled.Information visualizationAngularJS (Software framework)Information visualization.AngularJS (Software framework)01.4226Körner Christoph1602131MiAaPQMiAaPQMiAaPQBOOK9910806991103321Data visualization with D3 and AngularJS3925997UNINA