Ebook Data Visualization with JavaScript, by Stephen A. Thomas
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Data Visualization with JavaScript, by Stephen A. Thomas
Ebook Data Visualization with JavaScript, by Stephen A. Thomas
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You've got data to communicate. But what kind of visualization do you choose, how do you build it, and how do you ensure that it's up to the demands of the Web?
In Data Visualization with JavaScript, you'll learn how to use JavaScript, HTML, and CSS to build the most practical visualizations for your data. Step-by-step examples walk you through creating, integrating, and debugging different types of visualizations and will have you building basic visualizations, like bar, line, and scatter graphs, in no time.
Then you'll move on to more advanced topics, including how to:
- Create tree maps, heat maps, network graphs, word clouds, and timelines
- Map geographic data, and build sparklines and composite charts
- Add interactivity and retrieve data with AJAX
- Manage data in the browser and build data-driven web applications
- Harness the power of the Flotr2, Flot, Chronoline.js, D3.js, Underscore.js, and Backbone.js libraries
If you already know your way around building a web page but aren't quite sure how to build a good visualization, Data Visualization with JavaScript will help you get your feet wet without throwing you into the deep end. Before you know it, you'll be well on your way to creating simple, powerful data visualizations.
- Sales Rank: #443714 in Books
- Published on: 2015-03-26
- Original language: English
- Number of items: 1
- Dimensions: 9.10" h x 1.00" w x 7.00" l, 1.95 pounds
- Binding: Paperback
- 384 pages
About the Author
Stephen A. Thomas specializes in frontend development at Georgia Tech's Department of Education Technology and has developed complex JavaScript visualizations for the health-care and security industries. He writes and speaks about data visualization in publications and at conferences around the world.
Most helpful customer reviews
12 of 12 people found the following review helpful.
Comprehensive recipes for data visualisation for beginners
By Tomás Kramár
This is not a book that can be read cover to cover. The book title doesn't mention it (and I don't understand why), but this is actually a recipe book.
The book is organized as a series of unrelated recipes, each one showing examples (source code with explanation) of how a particular visualisation can be acomplished using JavaScript and usually some ready-made visualisation library. I liked that the book does not focus on a single library, but instead the examples always use the best tool for the job. The list of visualisations is comprehensive, and covers everything from basic line charts to more complex map-based and dynamic visualisation. The book is obviously intended for beginners, but I liked how the author explains some of the more intricate parts of the presented codes. Besides examples showing how to visualise data using popular libraries, the book also covers some utility libraries, like underscore and backbone, that come handy when building visualisations; working with AJAX, and also shows how to build a more complex application with real data. The source code for all of the examples in the book and more is publicly available on github.
I usually have a problem with recipe-style books, because they fade out of relevance far too quickly, as the technology evolves and moves on, but this book packs more than just examples. Nevertheless, I'd only recommend the book if you are starting with data visualisation and need a good reference of what is possible and how.
5 of 5 people found the following review helpful.
Great text, full color, if you need to make any type of chart in your webpages (or reports for bosses) this will be a lifesaver.
By Robert Moss
Amazing book. I was originally looking for a D3.js book, and was a bit bummed when I first realized this had many different libraries in it, but then I realized this was a feature.
Unless you truly need to design your own graphs/charts from scratch, this book will save you TONS of time, and introduce you to nearly all of the available charting/graphing libraries available for Javascript web programming. (Which includes D3.js also, even though it uses the older d3.js instead of the newer d3.v2.js)
Also, this book is in FULL COLOR, which is always a delight, and they use responsibly sourced paper.
What could be better?
1 of 1 people found the following review helpful.
Data visualization with JavaScript for websites
By Michael Kim
Just a fair warning, you should be somewhat familiar with JavaScript, HTML, and CSS as this book is designed to teach you how to create a wide range of data visualizations for websites. So what is data visualization? Data visualization is an effective way to convey numerical data into something that viewers can quickly interpret such as pie graphs, line graphs, and etc.
The text is detailed, well structured, and easy to follow. The visualization examples are simple and straightforward. The colors used in the visualization examples and source codes are vivid, vibrant, and appealing to the eye. The author also includes a website where you can obtain all of the source codes used in the book.
Overall, this is an excellent reference if you are looking for data visualization codes to implement into your web pages.
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