[FOX-Ebook]Learning jqPLot

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Learn how to create your very own rich and intuitive JavaScript data visualizations using jqPlot

About This Book

  • Learn the fundamentals and applications of jqPlot as you work as a data analyst for a fictional consumer electronics company
  • Build on and extend the examples that you follow throughout the book and build your own complex and interesting charts
  • Accessible for anyone as knowledge of similar tools such as Highcharts isn’t required

Who This Book Is For

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.

In Detail

jqPlot is a charting and plotting plugin for the jQuery framework with numerous chart style options, and is a great tool to build data visualizations. Using jqPlot, you can create bar charts, pie charts, and even stock market charts. It is more than just a plugin for jQuery; you can design, build, and integrate graphs in a far more straightforward manner than popular feature-rich options such as Highcharts.

This book empowers you to create highly-customized charts and graphs that present your data in a visually appealing and analytic manner. Starting with a basic line graph, you’ll cover the other standard charts as well as some of the not-so-standard ones. If you want to be leaps and bounds ahead of your colleagues when it comes to developing graphs and charts for your web applications, this book is the answer.

Table of Contents

Chapter 1. Getting Started
Chapter 2. More Line Charts, Area Charts, and Scatter Plots
Chapter 3. Bar Charts and Digging into Data
Chapter 4. Horizontal and Stacked Bar Charts
Chapter 5. Pie Charts and Donut Charts
Chapter 6. Spice Up Your Charts with Animation, Tooltips, and Highlighting
Chapter 7. Stock Market Charts – OHLC and Candlestick Charts
Chapter 8. Bubble Charts, Block Plots, and Waterfalls
Chapter 9. Showing Real-time Data with Our Charts
Chapter 10. Beautifying and Extending Your Charts
Chapter 11. Bringing it All Together


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