These were so wonderful. Highly recommended.
Twitter *doesn’t* tell you the gender balance of the people *you* follow. But this brilliant person wrote some code to estimate just that. And the good news is I follow only slightly more (estimated) men than women or nonbinary folks. This estimate is also slightly more optimistic about my own followers, placing them at only 75% male, not 80%.
Try for yourself: https://www.proporti.onl
"Colonizability" of Africa in 1899 • A hideous historical map https://www.reddit.com/r/MapPorn/comments/87yjqk/colonizability_of_africa_in_1899_by_sir_harry/ #linkblog
Why does this 'timeline' have such a gender skew that is not representative of the Data Viz community? I will do the labor of asking the question, but you dudes need to do the rest. If it's not fixed, or at least addressed in some way, I will not participate or promote at all. Figure it out. And let me know.
Hi all, i'm a research professor at FH Potsdam, which means i run courses and projects on data visualization, in particular in the context of changing cities and cultural collections.
Two quick plugs:
- we have an open position:
https://www.fh-potsdam.de/fileadmin/user_dateien/1_informieren/D_Profil/a_Stellenanzeigen/20180305.aka.MA.Doerk.02_2018._E_.pdf (apply by 5 March)
- Information+ conference is coming to Potsdam: 19-21 October 2018. more infos soon: http://informationplusconference.com/
In case you're interested how the auto-detection of colorblind issues in Datawrapper works, I wrote it all down in an interactive blog post https://www.vis4.net/blog/2018/02/automate-colorblind-checking/ https://vis.social/media/JoiAHRvIu0BvxK8Mu8o https://vis.social/media/Jv8iNeTpJVhIjulb_Os
Also IWantHue it's a nice project on this matter: http://tools.medialab.sciences-po.fr/iwanthue/index.php
Visualization & interaction designer, IA. Feminist, anti-racist SJW. Practical cyclist. Vis books author http://oreillynet.com/pub/au/4419 he/him My opinions.
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