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
Fabio Nelli, is an IT Scientific Application Specialist at IRBM Science Park, a private research center in Pomezia, Roma (Italy). He has beena computer consultant for many years at IBM, EDS, Merck Sharp, and Dohme, along with several banks and insurance companies.He has an Organic Chemistry degree and many years of experience in Information technologies and Automation systems applied to Life Sciences (Tech Specialist at Beckman Coulter Italy and Spain).He is currently developing Java applications that interface Oracle databases with scientific instrumentations generating data and web server applications providing analysis of the results to researchers in real time.
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
Fabio Nelli, is an IT Scientific Application Specialist at IRBM Science Park, a private research center in Pomezia, Roma (Italy). He has beena computer consultant for many years at IBM, EDS, Merck Sharp, and Dohme, along with several banks and insurance companies.He has an Organic Chemistry degree and many years of experience in Information technologies and Automation systems applied to Life Sciences (Tech Specialist at Beckman Coulter Italy and Spain).He is currently developing Java applications that interface Oracle databases with scientific instrumentations generating data and web server applications providing analysis of the results to researchers in real time.
* Charting Technology Overview * jQuery Basics * Simple HTML Tables * Drawing a Line Chart * Drawing a Bar Chart * Drawing a Pie Chart * Creating a Library for Simple Charts * Introducing jqPlot * Line Charts with jqPlot * Bar Charts with jqPlot * Pie Charts with jqPlot * Candlestick Charts with jqPlot * Bubble Charts with jqPlot * Other Charts with jqPlot * Adding Controls to Charts * Embedding jqPlot Charts in jQuery Widgets * Handling Input Data * Moving from jqPlot to Highcharts * Introducing D3 * Line Charts with D3 * Bar Charts with D3 * Pie Charts with D3 * Candlestick Charts with D3 * Scatterplot and Bubble Charts with D3 * Radar Charts with D3 * Handling Live Data with D3 * App A: Guidelines for the Examples in the Book * App B: jqPlot Plugins
Fabio Nelli, is an IT Scientific Application Specialist at IRBM Science Park, a private research center in Pomezia, Roma (Italy). He has beena computer consultant for many years at IBM, EDS, Merck Sharp, and Dohme, along with several banks and insurance companies.He has an Organic Chemistry degree and many years of experience in Information technologies and Automation systems applied to Life Sciences (Tech Specialist at Beckman Coulter Italy and Spain).He is currently developing Java applications that interface Oracle databases with scientific instrumentations generating data and web server applications providing analysis of the results to researchers in real time.
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