case_when

joined 1 year ago
[–] case_when 1 points 4 minutes ago

Not often a drawing makes me laugh out loud. Outstanding work.

[–] case_when 2 points 15 hours ago

For me I always feel like I add one line too many and ruin the whole thing, so I admire people with the discipline to hold back!

[–] case_when 2 points 1 day ago (2 children)

Beautifully minimalistic.

[–] case_when 2 points 1 week ago

Why thank you! I've been doing this with a few pieces Still feeling the technique out, but I'm enjoying experimenting!

[–] case_when 1 points 1 week ago
[–] case_when 3 points 1 week ago

Oh you absolute hero! Thanks. Do go see it if you're in town, it's breathtaking work!

[–] case_when 1 points 2 weeks ago

Hahaha, I'm nervously proud!

[–] case_when 1 points 2 weeks ago

Why thank you!

[–] case_when 3 points 2 weeks ago

I think that's a very sensible idea!

[–] case_when 6 points 2 weeks ago (1 children)

Holy crap, your last few have been awesome!

[–] case_when 2 points 2 weeks ago

Thanks! I drew this with a big goofy grin on my face.

 
[–] case_when 2 points 2 weeks ago (1 children)

This is so good!

 

Adding birds to my list of things I don't know what they look like despite seeing them every day.

 
110
submitted 3 weeks ago* (last edited 3 weeks ago) by case_when to c/artshare
 
 

In the UN General Assembly, do some countries consistently vote the same way?

This plot lays out patterns of similarity in voting behaviour in the decade starting in January 2015. Countries that are close together in space on the plot tend to be similar in their voting.

Clearly the countries are divided and united by certain political themes, but the analysis is blind to these: all it sees is the votes themselves, not the topics voted upon.

Nevertheless, it has picked out a cluster of European nations in the top centre, joined by Ukraine and, more loosely, by Japan, the United Kingdom, New Zealand and Australia. The United States and Israel are a pair of outliers, voting almost identically to one another and often very differently from the rest of the world.

The technique used is logistic PCA, a decomposition method for use with binary data. Data is from the UN digital library. Visualisation done in R.

 
 

I ran out of big paper halfway through the session, so had to pull out the backup sketchbook. Only A5, but good things can come from constraints! Technical pen, 15 minutes from life.

 
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submitted 1 month ago by case_when to c/artshare
 
33
submitted 2 months ago by case_when to c/artshare
 
 
 
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