Practical data design tips from a data visualization expert of the modern age
Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.About the Author:
Nathan Yau is a PhD candidate in Statistics at UCLA and a lifelong data junkie. His goal is to make data available and useful to those who aren't necessarily data experts, and he focuses on data visualization and personal data collection. You can follow his visualization experiments at http://flowingdata.com.
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