If you are a developer with a good understanding of JavaScript and jQuery and have been burdened with the task of analyzing and presenting some data, this book will provide you with the start you need to create some very attractive data visualizations.

Create Web Charts with jqPlotshows how to convert your data into eye-catching, innovative, animated, and highly interactive browser-based charts. This book is suitable for developers of all experience levels and needs: for those who love fast and effective solutions, you can use the jqPlot library to generate charts with amazing effects and animations using only a few lines of code. By the end of the book, you will have a good knowledge of all the elements needed to manage data from every possible source, from high-end scientific instruments to Arduino boards, from simple HTML tables to structured JSON files, and from Matlab calculations to reports in Excel. You will be able to provide cutting-edge charts exploiting the growing power of modern browsers. This book contains content previously published in Beginning JavaScript Charts. Create all kinds of charts using the latest technologies available on browsers Full of step-by-step examples, Create Web Charts with jqPlot introduces you gradually to all aspects of chart development, from the data source to the choice of which solution to apply. This book provides a number of tools that can be the starting point for any project requiring graphical representations of data, whether using commercial libraries or your own

A complete practical and comprehensive tutorial with clear and step-by-step instructions along with many examples. It's packed with examples, code samples and practical tips in a no-nonsense way. This book is both for beginners and advanced web developers who need to create interactive charts for their web applications. It primarily targets JavaScript Web developers who want to use the Highcharts library to prepare interactive and professional-quality charts and graphs for their applications quickly and easily. Prior experience with JavaScript is assumed.

Beginning JavaScript Charts shows how to convert your data into eye-catching, innovative, animated, and highly interactive browser-based charts. This book is suitable for developers of all experience levels and needs: for those who love fast and effective solutions, you can use the jqPlot library to generate charts with amazing effects and animations using only a few lines of code; if you want more power and need to create data visualization beyond traditional charts, then D3 is the JavaScript library for you; finally, if you need a high-performance, professional solution for interactive charts, then the Highcharts library is also covered. If you are an experienced developer and want to take things further, then Beginning JavaScript Charts also shows you how to develop your own graphics library starting from scratch using jQuery. At the end of the book, you will have a good knowledge of all the elements needed to manage data from every possible source, from high-end scientific instruments to Arduino boards, from PHP SQL databases queries to simple HTML tables, and from Matlab calculations to reports in Excel. You will be able to provide cutting-edge charts exploiting the growing power of modern browsers. Create all kinds of charts using the latest technologies available on browsers (HTML5, CSS3, jQuery, jqPlot, D3, Highcharts, and SVG) Full of step-by-step examples, Beginning JavaScript Charts introduces you gradually to all aspects of chart development, from the data source to the choice of which solution to apply. This book provides a number of tools that can be the starting point for any project requiring graphical representations of data, whether using commercial libraries or your own

This book constitutes the refereed proceedings of the 13th International Conference on Web-Based Learning, ICWL 2014, held in Tallinn, Estonia, in August 2014. The 18 revised full papers presented together with 9 short papers were carefully reviewed and selected from about 78 submissions. The papers are organized in topical sections on computer supported collaborative learning, Web 2.0 and social learning environments; personal learning environments; game-based learning; learner modeling and learning analytics; personalized and adaptive learning; design, model and implementation of e-learning platforms and tools; and pedagogical issues, practice and experience sharing.

​This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning​. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns​.

Crisp and concise guide on building impressive maps as well as visualizations with D3 a JavaScript library About This Book Dive into D3.js and apply its powerful data binding ability in order to create stunning visualizations Learn the key concepts of SVG, JavaScript, CSS and the DOM to bring data and shapes to live in the browser Solve common problems faced while building interactive maps Acquire key web development skills from the creating your interactive to testing and finally publishing it. Who This Book Is For This book is for people with at least a basic knowledge of of web development (basic HTML/CSS/JavaScript). You don't need to have worked with D3.js before. What You Will Learn Work with SVG geometric shapes Learn to manage map data and plot it with D3.js Add interactivity and points of interest to your maps Compress and manipulate geoJSON files with the use of topoJSON Learn how to write testable D3.js visualizations Build a globe with D3.js and Canvas and add interactivity to it. Create a hexbin map with D3.js In Detail D3.js is a visualization library used for the creation and control of dynamic and interactive graphical forms. It is a library used to manipulate HTML and SVG documents as well as the Canvas element based on data. Using D3.js, developers can create interactive maps for the web, that look and feel beautiful. This book will show you how build and design maps with D3.js and gives you great insight into projections, colors, and the most appropriate types of map. The book begins by helping you set up all the tools necessary to build visualizations and maps. Then it covers obtaining geographic data, modifying it to your specific needs, visualizing it with augmented data using D3.js. It will further show you how to draw and map with the Canvas API and how to publish your visualization. By the end of this book, you'll be creating maps like the election maps and the kind of infographics you'll find on sites like the New York Times. Style and approach This step by step guide with pragmatic examples will help you create maps and amazing visualizations.