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Can I read Google Visualization API Essentials: Make sense of your data: make it visual with the Google Visualization API on EtoBox?

Google Visualization API Essentials: Make sense of your data: make it visual with the Google Visualization API by Traci L Ruthkoski; ProQuest (Firm) is a nonfiction available to read on EtoBox.

What is Google Visualization API Essentials: Make sense of your data: make it visual with the Google Visualization API about?

Make sense of your data: make it visual with the Google Visualization API **Overview** * Wrangle all sorts of data into a visual format, without being an expert programmer. * Visualize new or existing spreadsheet data through charts, graphs, and maps. * Full of diagrams, core concept explanations, best practice tips, and links to working book examples. **In Detail** There's a lot of data in our world, and visual representations are often the best method of making sense of it all. Yet, it should not take an army of programmers and analysts to create visualizations in order to make data useful. The Google Visualization API is accessible to novice and advanced programmers alike, making data useful to more people. "Google Visualization API Essentials" will show you how to create interactive data displays with very little code. The API, combined with Google Spreadsheets and Fusion Tables, is a complete system, from data management to analytical displays. Not only is it simple to learn, but the Google Visualization API can also be viewed as a first step to learning additional Google APIs. "Google Visualization API Essentials" uses both methodology overviews and hands-on examples with rea

Who reads Google Visualization API Essentials: Make sense of your data: make it visual with the Google Visualization API?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Traci L Ruthkoski; ProQuest (Firm)
Publisher
Packt Publishing Limited
Published
2013
Language
EN
ISBN
9781849694377
Category
nonfiction
Subjects
Computer Science, Engineering, Databases

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