Learn to use #data to effectively communicate stories and takeaways in this workshop led by Dr. Eric Monson (@DukeUnivLibraries) in this talk given October 1, 2021. Discover key #datavisualization principles, common #mistakes (and how to avoid them), best practices for using #color and text, and other #design techniques for #visuals communicating data to an audience.

0:00 Introduction
1:20 What is data visualization?
4:21 Building blocks of data visualization
8:53 Choosing how to plot your data set
18:10 Keeping it simple
20:11 Using color to draw attention
21:41 Ensuring every figure has a purpose
23:01 Common data visualization mistakes and how to avoid them
30:32 Making good color choices
36:04 Using minimal, readable text to tell your story
39:36 Services, workshops, and resources offered by the Center for Data and Visualization Sciences at Duke University Libraries (http://libraries.duke.edu/data)

Part of the Foundations for Energy Data Analytics Series. Some videos in the series (like this one!) introduce data science concepts and techniques that are applicable to energy challenges. Others are designed to provide background on energy systems and policy, elucidating contexts that are rich with opportunities for data scientists. (   • Foundations for Energy Data Analytics  )

This talk was originally presented during a workshop of the Energy Data Analytics Ph.D. Student Fellows Program (https://energy.duke.edu/energy-data-a..., organized by the Energy Data Analytics Lab (https://energy.duke.edu/research/ener...) at Duke University. The Fellows Program is funded by a grant from the Alfred P. Sloan Foundation, Grant-G2020-13922. (https://sloan.org)

(Note: Conclusions reached or positions taken by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers, or staff).

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