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ActionScript Graphing Cookbook

ActionScript Graphing Cookbook

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ActionScript Graphing Cookbook

ActionScript Graphing Cookbook

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Overview of this book

"A picture is worth a thousand words" has never been more true than when representing large sets of data. Bar charts, heat maps, cartograms, and many more have become important tools in applications and presentations to quickly give insight into complicated issues.The "ActionScript Graphing Cookbook" shows you how to add your own charts to any ActionScript program. The recipes give step-by-step instructions on how to process the input data, how to create various types of charts and how to make them interactive for even more user engagement.Starting with basic ActionScript knowledge, you will learn how to develop many different types of charts.First learn how to import your data, from Excel, web services and more. Next process the data and make it ready for graphical display. Pick one of the many graph options available as the book guides you through ActionScript's drawing functions. And when you're ready for it, branch out into 3D display.The recipes in the "ActionScript Graphing Cookbook" will gradually introduce you into the world of visualization.
Table of Contents (17 chapters)
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ActionScript Graphing Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1
Index

Creating tag clouds


Tag clouds are good tools to analyze text. They quickly give a good idea of which topics are being approached by an article or a post.

Getting ready

Open the folder containing the code for this recipe.

How to do it...

The following are the steps required to build a tag cloud:

  1. The first step, which we won't be explaining in this recipe, is to parse a text and get data of how frequently each word occurs. You will probably want to only use the top 50 words and remove propositions and only use nouns.

  2. Create the data structure for this visualization. In this case it is simply a pairing of a label and occurrences (a count of how many times a word appears in the text).

  3. Once we get this, we can start creating the TagCloud.as class.

  4. We first have to determine the number that represents the lowest and the highest occurrences by looping through all the data.

  5. With that in hand, we can find the value for fontRatio that will be used to assign a font size for each word. The formula is quite...

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ActionScript Graphing Cookbook
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