Rostock Retreat

Thank you @Acosta_Kike_ @PerrottaDaniela @JiaxinShi04 for organising this amazing event and arranging five insightful keynotes in a single event. The challenge work was also a great learning experience for me.

Had a great time at the @RostockRetreat working across disciplines with these cool people! I haven't had this sort of time to think constructively about data viz and how to best represent uncertainty in a long time. Looking forward to taking these ideas back to my work.

Thank you so much to our five keynote speakers and all participants for three great days of exchange at the #RostockRetreat on Visualizing Uncertainty!

This is the solution Group 6 with Annelene Wengler and @visnut found

Challenge 6: How to visualize an uncertainty band? Group 6: Annelene Wengler (challenge author), Debarati Sarkar, @visnut

This years’ digital #RostockRetreat came up with Data Visualization Challenges to be solved in groups. This thread shows the work of the six groups which discussed and proposed a visual solution to their challenge.

and this is the second part

Here is the first part of the solution Group 5 gave after only 5 hours of work

This is how Group 4 solved its challenge

Challenge 4: How to effectively visualize parts of a whole? Group 4: @JohnLoja_, @JoeMolitoris (challenge author), @mjskay, @rishabhtyagiind, Serena Vigezzi

This is how Group 3 with David Zimmerman, @ShowTheNumbers, @jwf825 and Zachary Barnett-Howell solved its challenge

Challenge 3: How to find a way of using visualization to convey a risk in a way that is both accurate and sophisticated? Group 3: David Zimmerman, @ShowTheNumbers, @jwf825, Yinusa Rasheed Adebayo, Zachary Barnett-Howell (challenge author)

This is how Group 2 solved both of its challenges after only 5 hours

Challenge 2: How do we intuitively portray climate data uncertainty alongside the climate data? AND How do we represent uncertainty of interactions in a network plot? Group 2: @ericdelmelle, @KuschErik (challenge author), @solosciocchezze, Henrik-Alexander Schubert

This is how Group 1 solved its challenge after only 5 hours of work

Challenge 1: How to visualize uncertainty in the relative ordering of values subject to uncertainty. Group 1: @abhishek_bakuli, @jschoeley, @mr_wheldon (challenge author), Monirujjaman Biswas

And that's a wrap of the #RostockRetreat on Visualising Uncertainty! Huge thanks to the speakers (Dianne Cook, @jschoeley, @jwf825, @mjskay, @ikashnitsky) for their inspiring lectures and to the amazing #dataviz challenge teams for their intense work and commitment!

Thank you the great @RostockRetreat #dataviz challenge team! That was super cool to brainstorm and code rapidly with you 🚀 @CosmoStrozza @JetWildeman @sof14g1l Our team is named HDMI – Human Demographers Mapping Indexes and we played around with @Globaldatalab's Subnational HDI

Tips and tricks in @rstudio with data about the likely winner of #EURO2020

"Visualizing data is the necessary stage of data exploration that can routinely protect from embarrassing errors."

The third and last day of the #RostockRetreat 2021 started with a keynote by @ikashnitsky. The postdoc @CPop_SDU talked about simple and powerful design choices that help unpacking the variation of data used for analysis.