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Designing Data Visualizations: Representing Informational Relationships

Noah Iliinsky, Julie Steele




[PDF.su04] Designing Data Visualizations: Representing Informational Relationships

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 | #724352 in Books |  2011-10-02 |  2011-09-29 | Original language:English | PDF # 1 |  9.19 x.24 x7.00l,.43 | File type: PDF | 114 pages

||1 of 1 people found the following review helpful.| Good, quick overview|By fish|Well-done principles of data-viz - probably better on the Kindle so you can see the color illustrations. A great resource to go along with other how-to books such as Nathan Yao's "Visualize This."|3 of 4 people found the following review helpful.| Hastily Tossed Together|By Easy Writer|This book rea|About the Author|
Julie Steele is an Editor at O'Reilly currently working on titles related to Python, SQL, PHP, web frameworks and CMS, databases (relational and non-relational), big data and cloud computing, and data visualization. She's also interested in

Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information visually.

Delve into different kinds of visualization, including infographics and visual art, and explore the influences at work in each ...

You easily download any file type for your device.Designing Data Visualizations: Representing Informational Relationships   |  Noah Iliinsky, Julie Steele. A good, fresh read, highly recommended.

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