Last updated 12/2018MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 4.07 GB | Duration: 9h 24m
Leverage the power of D3.js to create beautiful and stunning illustrations of data What you'll learn Learn how D3 .js works to declaratively define visualizations Create charts from scratch by using SVG and the D3 .js APIs See how to prepare data for easy visualization using D3 .js Visualize hierarchical data using chart types provided by D3 .js Explore the different options provided by D3 .js to visualize linked data such as graphs Spice up your visualizations by adding interactivity and animations Learn how to use D3 .js to visualize and interact with Geo- and Gis-related information sources Create visualization by streaming data over WebSockets Requirements Basic javascript programming knowledge is required. Description This course seeks to take you on a journey to learn to create beautiful visualizations of information using D3.js. D3.js, where D3 stands for data-driven documents, is an amazing javascript library which is known among data analysts, eeers, mathematicians, and developers worldwide as an advanced data visualization tool. Its ability to bring data to life in the form of graphics is what has made it so widespread in its use, scope, and popularity. If you want to create interactive charts, data trees, infographics, geospatial charts, and maps efficiently, then this course is your ideal choice to master interactive data visualization with D3.js V4. This course includes a number of extensive examples to help you hone your skills with data visualization using D3.js. Throughout the course these examples will help you acquire a clear practical understanding of the various techniques, tools, and functionality provided by D3.js. You will first setup your D3.js development environment and learn the basic patterns needed to visualize your data. You will then learn techniques to optimize different processes such as working with selections, animating data transitions, creating graphs and charts, integrating external resources (static as well as streaming), visualizing information on maps, working with colors and scales, utilizing the different D3.js APIs, and more. This course will also guide you through creating custom graphs and visualizations, and show you how to go from the raw data to beautiful visualizations. The extensive examples will include working with complex and real data streams, such as seismic data, geospatial data, scientific data, and more. Finally, you will build five unique data visualization projects to get a complete hold of the topic.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Creating Data Visualization with D3, will help you acquire a clear practical understanding of the various techniques, tools and functionality provided by D3.js. You will first setup your D3.JS development environment and learn the basic patterns needed to visualize your data. After that you will learn techniques to optimize different processes such animating data transitions, creating charts, and much more. You will also learn how to create custom graphs and visualizations, and how to go from the raw data to beautiful visualizations.In the second course, Applied Data Visualization with D3, you will learn techniques to optimize different processes such as animating data transitions, creating graphs and charts, integrating external resources (static as well as streaming), visualizing information on maps, working with colors and scales, utilizing the different D3.js APIs, and more. The extensive examples will include working with complex and real data streams. You will also learn to add custom shapes and paths using various D3 functionality. In the third course, D3.js Data Visualization Projects, you will build two complete applications with D3.js. While you create apps from scratch, you will learn to implement the various features of D3.js. The projects start with a simple chart app, then move on to creating scalable data-intensive apps, typically dedicated to the big data domain. You will also create a complex business app that lets you feed your data and create interactive real visualizations with various export options. By the end of this course, you will have developed a strong foundation in D3.js and would be able to create breathtaking visualizations of data using its vast library.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Jos Dirksen has worked as a software developer and architect for more than a decade. He has a lot of experience in a large range of technologies, rag from backend technologies, such as Java and Scala, to frontend development using HTML5, CSS, and javascript. Besides working with these technologies, Jos also regularly speaks at conferences and likes to write about new and interesting technologies on his blog. He also likes to expent with new technologies and see how they can best be used to create beautiful data visualizations. Jos is currently working as a full stack eeer for Philips Lighting working, on a large IoT and Scala project. Previously, Jos has worked in many different roles in the private and public sectors, rag from private companies such as ING, ASML, Malmberg, and ASML to organizations in the public sector, such as the Department of Defence.Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless This , focuses on IoT development and connecting everything with everything. He is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies. Overview Section 1: Creating Data Visualization with D3 Lecture 1 The Course Overview Lecture 2 What Is D3? Lecture 3 Setting Up the Local Web Server Lecture 4 Basic HTML Template Lecture 5 How Does D3 Work? Lecture 6 Visualizing Our First Data Lecture 7 Visualizing with Donut Chart Lecture 8 Line Charts That Show Income Growth Lecture 9 Population Growth Estimates Using a Stacked Graph Lecture 10 Normal Tree Visualization Lecture 11 Radial Tree Visualization Lecture 12 Treemap and Partition Lecture 13 Elections 2016 Choropleth Lecture 14 Earthquake Data on a Flat Map Lecture 15 Rotating the World Globe Lecture 16 Using D3 with ES6 Lecture 17 External Charting Libraries Section 2: Applied Data Visualization with D3 Lecture 18 The Course Overview Lecture 19 Force Layout Lecture 20 Bubble Chart Lecture 21 Chord Diagram Lecture 22 Matrix Diagram Lecture 23 Simple Streaming Line Lecture 24 Heart Rate and Respiratory Monitoring Lecture 25 Creating the Visualization Lecture 26 Random Data-Driven Streamgraph Lecture 27 Visualizing Meetup.com RSVP Data on a Map Lecture 28 Simple Voronoi Diagram Lecture 29 Voronoi Based on a List of Airports Lecture 30 Generative Art with Nested Voronoi Diagrams Lecture 31 Heatmap Showing Swearword Usage in Movies Lecture 32 Symbols Supported in D3 Lecture 33 Using d3.path to Draw Paths Lecture 34 Exporting Visualizations Lecture 35 Exporting Visualizations as SVG and Importing Them in an External Program Lecture 36 Using Brushes to Select Elements Section 3: D3.js Data Visualization Projects Lecture 37 The Course Overview Lecture 38 Getting the Code Samples Lecture 39 Installing VS Code Lecture 40 Installing Live Server Lecture 41 Developing a Simple D3.js App Lecture 42 Overview of the Data Lecture 43 Loading the Data from a Web Server Lecture 44 Examining the Data in the Browser Lecture 45 Creating SVG Graphics Lecture 46 Creating Visuals with Data Lecture 47 Visual Styling Using Data Lecture 48 Overview of Scales Lecture 49 Using Linear Scales Lecture 50 Using Scales for Color Lecture 51 Drawing Axes Lecture 52 Positioning for Axes Lecture 53 Styling Axes Lecture 54 Axes’ Titles Lecture 55 Custom Tick Labels Lecture 56 Legends Lecture 57 Gridlines Lecture 58 Selecting Data for a Given Year Lecture 59 Creating a Reusable Renderer Lecture 60 Basic Animation with rs Lecture 61 The General Update Pattern Lecture 62 Applying GUP Lecture 63 Navigation Using Buttons Lecture 64 Navigation Using Slider Lecture 65 Basics of Transitions Lecture 66 Animating New Visuals Lecture 67 Animating Updates Lecture 68 Animating Exiting Updates Lecture 69 Capturing Mouse Events Lecture 70 Creating Tool Tips Lecture 71 Highlighting a Visual Lecture 72 Displaying Details This course is for javascript developers, designers, and visual artists who have some basic javascript programming knowledge and who now want to master pro-level techniques to create interactive data visualizations using web standards which work on desktop as well as mobile devices. 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