News and Notes from PolicyViz - Issue #14 - Members
Hi Members! Thanks for your ongoing support of PolicyViz!
The weather has been pretty crazy here in Northern, Virginia lately! We have days of 50 degrees whether followed by a day or two of 80 degrees! Dunno...spring, I guess. Of course, in a few weeks, we'll be sweating in 90+ degree heat and yearning for these cool days.
I've been working hard on a few projects lately, which has put me behind on my blog writing, but here are actual blog post titles of to-be-completed posts:
Showing Shares: Area Charts vs. Line Charts
Treat Us Like Fucking Adults [okay, I'll probably drop the swear word before I publish]
Getting away from the ‘this is how we always do it’ mentality
Break-the-Frame: An Approach to Visualizing Outliers
Keep an eye out for these plus some new videos I have in the works that should show up in the next week or so. Plus, I need to get back to my Tableau learning, which has been stalled lately.
If you want to get a little dose of dataviz genius to your phone, check out my new Winno community. I've really been enjoying sending out 2-3 texts per week with tips and tricks for better data visualizations. I've also started sharing coupon codes for conferences, so members should find the $5/month fee will end up paying for itself!
Thanks and take care,
Jon
Episode #216: Claire McKay Bowen
Dr. Claire McKay Bowen is a principal research associate in the Center on Labor, Human Services, and Population and leads the Statistical Methods Group at the Urban Institute. Her research focuses on developing and assessing the quality of differentially private data synthesis methods and science communication. She holds a BS in mathematics and physics from Idaho State University and an MS and PhD in statistics from the University of Notre Dame. After completing her PhD, she worked at Los Alamos National Laboratory, where she investigated cosmic ray effects on supercomputers.
What I'm Reading
Books
Articles
Integrating Annotations into Multidimensional Visual Dashboards
Guide for Engaging with Research Partners about Data and Analysis
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