#god all the typos i've been fixing djkflajfd
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master info/data post about the seventeen color survey thing i did for context behind the palettes i just posted ❤️
[hyung line] | [maknae line]
EDIT: since it’s been brought up, feel free to use the information here/the color palettes as inspiration for your own creations!! all i ask is that you link back to any of these 3 posts :))) you don’t have to tag me specifically but i’d also love to see what creations stem from this!!
a while ago i did an informal survey asking what colors carats associated with their bias(es), and using the results, came up with color palettes associated with each member. that being said, i did end up taking quite a bit of creative liberty when generating them seeing as most members were fairly… colorful lmao.
overall i was able to gather 575 unique answers across all 13 members (not sure how many people, lots of folks gave answers for multiple members, and if someone put 2+ colors with the member i honestly used all bc i needed data lmao). i plugged this information into a quick python script to generate these colors wheels which is why they aren’t really the prettiest.
these were mainly generated to get the general idea of color distributions, and i also took the way people described colors into consideration when picking colors for the palettes (not obvious in these images but the script also kept track of tags). frankly the name of some colors were also taken into consideration to generate the final colors i picked for the color palettes (e.x. mingyu’s brown is “cafe noir” and i was just like YES)
i used coolors.co (A+ site btw) to finalize the palettes and get finalized hex values/color names, but the overall graphics were just generated in gimp (solid B software btw). originally i was gonna do something more, maybe integrate gifs somehow, but figured simple palettes were better for this lmao and also bc i didn’t want to make something advanced for 13 people jkfldasjk
some other facts about this data:
the colors are obviously a rough estimate; while some people were pretty specific, a lot of answers could boil down to just “red” or “yellow” so yeah jdfkaljfkds
some members had fairly consistent answers (e.g. dk - yellows, hoshi - oranges/yellows, wonwoo - blue) while others were much more all over the place (jun, mingyu, woozi)
while the8 was also fairly rainbow (with emphasis on red and green), a majority also emphasized that whatever color they chose for him was dark
conversely, jeonghan, joshua, and seungkwan were our resident pastel bois, as a majority of answers emphasized lighter colors
dino had a lot of people say silver for him, making him the member with the highest proportion of grayscale values
for perhaps obvious reasons, a lot of people said rainbow/tie-dye for vernon, and he was the only member this was applied to
i had the most trouble coming up with color palettes for jun and mingyu, who are ironically my ults, due to their inconsistent color wheels. that might be why i ended up giving them the most unconventional color palettes as my own interests were fighting with the actual data LMAO
looking back at these now i’m reconsidering some of the color palettes i made, but i already made them so too bad jklfdajlsd. obviously my own aesthetic highly influences the palettes i made. if possible i’d love to somehow get more data since this is in all honesty a pretty small sample size, but my reach is pretty much limited to tumblr, so here it all is ig
thanks for everyone who contributed to this, this was suuuuper interesting to evaluate :D
#seventeen#m:gfx#m:*#god all the typos i've been fixing djkflajfd#also I Kno this is a lot of txt as jenn pointed out my virgo is loud...#like this is ESSENTIALLY my brain info dump humor me#m:data
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