Javascript and JQuery for Data Analysis and Visualization

Informationen zum Autor Jon Raasch is a freelance web developer and author of several books. A user-experience junkie! he builds HTML5 and JavaScript apps for desktop and mobile devices. Graham Murray is a software architect specializing in building UI development tools. Vadim Ogievetsky is a data flow processor at Metamarkets! where he works with data visualization framework development. Joseph Lowery is a professional web designer and online trainer with courses on website and app creation as well as data visualization at Lynda.com. Wrox guides are crafted to make learning programming languages and technologies easier than you think. Written by programmers for programmers! they provide a structured! tutorial format that will guide you through all the techniques involved. Klappentext Go beyond design concepts--build dynamic data visualizations using JavaScriptJavaScript and jQuery for Data Analysis and Visualization goes beyond design concepts to show readers how to build dynamic! best-of-breed visualizations using JavaScript--the most popular language for web programming.The authors show data analysts! developers! and web designers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations. They also demonstrate the use of each technique with real-world use cases! showing how to apply the appropriate JavaScript and jQuery libraries to achieve the desired visualization.All of the key techniques and tools are explained in this full-color! step-by-step guide. The companion website includes all sample codes used to generate the visualizations in the book! data sets! and links to the libraries and other resources covered.* Go beyond basic design concepts and get a firm grasp of visualization approaches and techniques using JavaScript and jQuery* Discover detailed! step-by-step directions for building specific types of data visualizations in this full-color guide* Learn more about the core JavaScript and jQuery libraries that enable analysis and visualization* Find compelling stories in complex data! and create amazing visualizations cost-effectivelyLet JavaScript and jQuery for Data Analysis and Visualization be the resource that guides you through the myriad strategies and solutions for combining analysis and visualization with stunning results. Zusammenfassung Go beyond design concepts--build dynamic data visualizations using JavaScriptJavaScript and jQuery for Data Analysis and Visualization goes beyond design concepts to show readers how to build dynamic! best-of-breed visualizations using JavaScript--the most popular language for web programming.The authors show data analysts! developers! and web designers how they can put the power and flexibility of modern JavaScript libraries to work to analyze data and then present it using best-of-breed visualizations. They also demonstrate the use of each technique with real-world use cases! showing how to apply the appropriate JavaScript and jQuery libraries to achieve the desired visualization.All of the key techniques and tools are explained in this full-color! step-by-step guide. The companion website includes all sample codes used to generate the visualizations in the book! data sets! and links to the libraries and other resources covered.* Go beyond basic design concepts and get a firm grasp of visualization approaches and techniques using JavaScript and jQuery* Discover detailed! step-by-step directions for building specific types of data visualizations in this full-color guide* Learn more about the core JavaScript and jQuery libraries that enable analysis and visualization* Find compelling stories in complex data! and create amazing visualizations cost-effectivelyLet JavaScript and jQuery for Data Analysis and Visualization be the resource that guides you through the myriad strategies and sol...

List of contents

INTRODUCTION xix
PART I: THE BEAUTY OF NUMBERS MADE VISIBLE
CHAPTER 1: THE WORLD OF DATA VISUALIZATION 3
Bringing Numbers to Life 4
Acquiring the Data 4
Visualizing the Data 4
Simultaneous Acquisition and Visualization 6
Applications of Data Visualization 7
Uses in the Public Sector 7
Business-to-Business and Intrabusiness Uses 8
Business-to-Consumer Uses 8
Web Professionals: In the Thick of It 9
Control of Presentation 9
What Tech Brings to the Table 11
Faster and Better JavaScript Processing 12
Rise of HTML5 12
Lowering the Implementation Bar 13
Summary 14
CHAPTER 2: WORKING WITH THE ESSENTIALS OF ANALYSIS 17
Key Analytic Concepts 18
Mean Versus Median 18
Standard Deviation 19
Working with Sampled Data 20
Standard Deviation Variation 20
Per Capita Calculations 21
Margin of Error 21
Detecting Patterns with Data Mining 22
Projecting Future Trends 23
Summary 25
CHAPTER 3: BUILDING A VISUALIZATION FOUNDATION 27
Exploring the Visual Data Spectrum 28
Charting Primitives 28
Exploring Advanced Visualizations 40
Candlestick Chart 42
Bubble Chart 42
Surface Charts 44
Map Charts 46
Infographics 46
Making Use of the HTML5 Canvas 49
Integrating SVG 52
Summary 54
PART II: WORKING WITH JAVASCRIPT FOR ANALYSIS
CHAPTER 4: INTEGRATING EXISTING DATA 57
Reading Data from Standard Text Files 58
Working Asynchronously 58
Reading CSV Files 59
Incorporating XML Data 61
Understanding the XML Format 61
Getting XML Data 62
Styling with XSLT 63
Displaying JSON Content 66
Understanding JSON Syntax 66
Reading JSON Data 67
Asynchronous JSON 68
Summary 71
CHAPTER 5: ACQUIRING DATA INTERACTIVELY 73
Using HTML5 Form Controls 73
Introducing HTML5 Input Types 74
Form Widgets and Data Formatting 74
Maximizing Mobile Forms 75
Using Contextual Keyboards 76
Styling Mobile Forms for Usability 77
Form Widgets for Mobile 77
Summary 77
CHAPTER 6: VALIDATING YOUR DATA 79
Server-Side Versus Client-Side Validation 80
Native HTML5 Validation 81
Native Versus JavaScript Validation 81
Getting Started with HTML5 Validation 82
HTML5 Validation for Numbers 82
Required Fields and Max Length 82
Custom HTML5 Validation Rules 83
Custom HTML5 Validation Messages 83
h5Validate Polyfi ll 84
jQuery Validation Engine 85
Getting Started with jQuery Validation Engine 85
Validators 86
Error Messages 90
Summary 91
CHAPTER 7: EXAMINING AND SORTING DATA TABLES 93
Outputting Basic Table Data 94
Building a Table 94
Using Semantic Table Markup 96
Labeling Your Table 101
Configuring the Columns 102
Assuring Maximum Readability 105
Styling Your Table 106
Increasing Readability 108
Adding Dynamic Highlighting 114
Including Computations 116
Using JavaScript for Calculations 120
Populating the Table 123
Using the DataTables Library 125
Making Pretty Tables with DataTables 126
Sorting with DataTables 128
Using Calculated Columns with DataTables 130
Relating a Data Table to a Chart 133
Mashing Visualizations Together 133
Summary 144
CHAPTER 8: STATISTICAL ANALYSIS ON THE CLIENT SIDE 145
Statistical Analysis with jStat 146
Getting Started with jStat 146
Stat 101 147
Rendering Probability Distributions with Flot 149
Getting Started with Flot 149
Rendering the Normal Curve 151
Summary 153
PART III: VISUALIZING DATA PROGRAMMATICALLY
CHAPTER 9: EXPLORING CHARTING TOOLS 157
Creating HTML5 Canvas Charts 158
HTML5 Canvas Basics 158
Linear Interpolation 159
A Simple Column Chart 160
Implementing Axes 176
Adding Animation 183
Starting with Google Charts 194
Google Charts API Basics 195
A Basic Bar Chart 195
A Basic Pie Chart 197
Working with Chart Animations 198
Summary 201
CHAPTER 10: BUILDING CUSTOM CHARTS WITH RAPHAËL 203
Introducing Raphaël 204
SVG Versus Canvas Charts 204
Getting Started with Raphaël 204
Drawing Paths 205
Importing Custom Shapes into Raphaël 206
Animating Raphaël Graphics 208
Handling Mouse Events with Raphaël 208
Working with gRaphaël 209
Creating Pie Ch

Product details

• Authors: Joseph Lowerxy, Joseph Lowery, Joseph W. Lowery, Graha Murray, Graham Murray, Vadim Ogievetsky, Vadim et al Ogievetsky, Jo Raasch, Jon Raasch, Jon Murray Raasch
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Paperback / Softback
• Released: 26.12.2014
• EAN: 9781118847060
• ISBN: 978-1-118-84706-0
• No. of pages: 480
• Dimensions: 190 mm x 235 mm x 25 mm
• Series: Wrox
• Subject: Natural sciences, medicine, IT, technology > IT, data processing