Traci L. Ruthkoski - Google Visualization API Essentials
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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
Theres 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 real data to introduce chart and graph creation on the Google platform. Topics are presented from various aspects, including Google Spreadsheets and Fusion Tables, and Graphic User Interfaces. An overview of the various API development environments available to developers is also covered. Basic and advanced charts, data source connectivity, style formatting, and publishing options are also explored in depth.
Google Visualization API Essentials brings the arsenal of Google Visualizations into the web developer toolkit.
What you will learn from this book
- Quickly launch a graph, chart, or map as an application, without the heavy-duty development environment.
- Create a variety of interactive graphs from spreadsheet or database data.
- Learn the Google API environment through Visualizations, and then apply the same concepts to other Google APIs.
- Give users control over data viewing with Interactive Chart Dashboards, or let them style the visualization themselves with Chart Editor.
- Discover Google Refine, a data-cleaning tool not just for visualization data.
- Use Google Fusion Tables as a Google Map data source.
- Embed a visualization in Google Spreadsheets using Apps Script API integration.
- Customize visualization colors, fonts, titles, and chart styles.
- Visualize your data over time with timeline and animation features.
Approach
This book is a step-by-step tutorial full of diagrams, core concept explanations, best practice tips, and links to working book examples.
Who this book is written for
This book will show you how create web-ready data visualizations using Googles infrastructure. Some HTML knowledge is the only requirement, although some JavaScript knowledge is also helpful.
Traci L. Ruthkoski: author's other books
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Copyright 2013 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.
First published: April 2013
Production Reference: 1080413
Published by Packt Publishing Ltd.
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Birmingham B3 2PB, UK.
ISBN 978-1-84969-436-0
www.packtpub.com
Cover Image by Faiz Fattohi (<>)
Author
Traci L. Ruthkoski
Reviewers
Louis-Guillaume Carrier-Bdard
Christophe Van Gysel
Thomas Schfer
Acquisition Editor
Usha Iyer
Lead Technical Editor
Arun Nadar
Technical Editors
Prasad Dalvi
Kirti Pujari
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Amey Sawant
Proofreader
Kevin McGowan
Indexer
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Graphics
Aditi Gajjar
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Cover Work
Arvindkumar Gupta
Traci L. Ruthkoski is from an eclectic background in computation, statistics, media technology, and business. Traci is always looking for the latest challenges in technology. Having worked as an IT professional in both clinical and medical research settings, she has built High Performance Computing clusters from hardware to software application. More recently, Traci has been enabling academic research advancement through computing and cyber infrastructure in the cloud domain. She continues to work at the University of Michigan, now holding several roles supporting the overall advancement of Research Cyber Infrastructure and Information Technology at the University. Traci has published academic work in the IEEE CloudCom 2010 proceedings as well as maintaining a blog/tutorial repository for cloud computing tools and trends.
I would like to thank my wife, Molly M. Nuzzo, for her constant encouragement. Thanks also go to my family, Tom, LuAnn, and Jason for the camaraderie that comes with being a family of IT professionals.
Louis-Guillaume Carrier-Bdard has been working for the last 9 years with Oracle technologies. Developments in the private and public sectors have helped him to build a solid background and renown in the Oracle APEX community. Louis-Guillaume received an honorable mention from Google Security for reporting security vulnerabilities; he appears on Google's Hall of Fame.
Louis-Guillaume is Oracle APEX Development Director at SIE-Solutions and CTO of newMarket. He is an adventurer who seeks new challenges to quench his thirst for knowledge.
He has worked as Technical Reviewer of the book Oracle Application Express Forms Converter (http://www.packtpub.com/oracle-application-express-forms-converter/book).
I would like to say thank you to Michelle, the woman with whom I share my life. Thank you Bruno-Pierre, Stphane, and ric for the fun we had working on many projects.
Christophe Van Gysel (http://chri.stophr.be) is a Computer Scientist active in the Drupal community where he maintains and contributes to several projects. Beyond Drupal, he is also experienced in Distributed Systems and Machine Learning. In his spare time, Christophe specializes in Web Security research. He has participated in various white hat hacker programs.
He is the author and maintainer of Visualization API (http://drupal.org/project/visualization), an actively used module for Drupal that provides a robust and easy accessible way to visualize data. It supports, but is not limited to, the Google Visualization API.
Thomas Schfer , who is a Former German Air Force Captain (academic degree), lives in Erftstadt, small city near Cologne, Germany.
He is an IT Pro since 2003. As a developer at Questback GmbH (Enterprise Feedback Software Company), he has worked on PHP, Javascript, MySQL, jQuery, and MooTools. He is also proficient with other technologies such as VisualBasic, C#, JAVA, Ruby, Python, PostgresSQL, NoSQL, ExtJS, GoogleVis API, and NodeJS. He has also worked in CSS Responsive Design using Compass.
He is 46 years old, married, and has two children.
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This book is dedicated to my mentor, Daniel E. Atkins III, the father of cyberinfrastructure and a lover of all things Google.
Visualization is a key component of analytics in both public and private organizations. The ability to view and even manipulate data visually is quickly becoming commonplace. Chart Tools, also known as the Visualization API, are powerful tools with low barriers to entry and are capable of impressive results with very little development time. Learning the Google Visualization API is also a helpful introduction to the larger collection of Google APIs.
, Tools and Setup , shows an overview of the various tools that can be used to create visualizations, from beginner to advanced levels. The purpose here is to explain the multiple approaches of using the API through different tools.
, Anatomy of a Visualization , describes the common high-level architecture that covers all methods of working with the Visualization API. This chapter also discusses the integrated nature of using the Visualization, Maps, and Fusion Tools APIs.
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