Recent comments in /f/dataisbeautiful
Hematomawoes t1_jc8j8v9 wrote
As an educator, I hate the way students are introduced to GPT. They don’t understand how to use it in ways that don’t involve the software just generating content for you and turning it in as-is. Super frustrating but interested in seeing where it goes.
PrimeNumbersby2 t1_jc8iqq5 wrote
Reply to [OC] The most common song titles in music by spicer2
Became a John Mayer album there at the end.
Enfiznar t1_jc8hiin wrote
Reply to comment by theRedMage39 in 2023 Digits of π [OC] by yaph
Yes, it is not proven but it seems like all digits are uniformly distributed
TracyMorganFreeman t1_jc8h6zf wrote
Reply to comment by SsurebreC in [OC] US Social Security Fund History by PM_Ur_Illiac_Furrows
>Sure, that's a lot of money and the number can also be true. However,that's weighted against quadrillions of government income.
No it isn't. It's *unfunded* liabilities. It's taking into account current government income trends. It's speaking to insolvent programs for people *who current exist* for which there is no funding to speak of in the future.
Abyss-Reckoners t1_jc8g4e3 wrote
Reply to comment by ChiefDuo in [OC] The most common song titles in music by spicer2
Suprised Breath isn’t on this list
Big-Hairy-Gooch t1_jc8er2c wrote
Reply to comment by ScreamThyLastScream in [OC] The most common song titles in music by spicer2
Like a fallen Angeeeel
yesthisisjay OP t1_jc8equf wrote
Reply to comment by DDL13 in [OC] Pretty happy with how this turned out. Top Artists for each year and overall by play time. Spotify Streaming Data + Python by yesthisisjay
Happy to dig out my code and share it later this week
SsurebreC t1_jc8e40l wrote
Reply to comment by TracyMorganFreeman in [OC] US Social Security Fund History by PM_Ur_Illiac_Furrows
Every single time I read "hundreds of trillions of unfunded liabilities", it's always a sum of these liabilities over decades.
Sure, that's a lot of money and the number can also be true. However, that's weighted against quadrillions of government income.
It's always used as a big scary number to make it seem like we need to fuck with future generations because they don't matter since they don't vote.
ValkyrieChaser t1_jc8e1kz wrote
Reply to comment by Character_Society_25 in [OC] The most common song titles in music by spicer2
NFs are so good he made 3 of em!
xMagical_Narwhalx t1_jc8bnqy wrote
Reply to [OC] The most common song titles in music by spicer2
If you read them from top down its kinda deep.
[deleted] t1_jc8bakf wrote
Reply to comment by Starkydowns in [OC] The most common song titles in music by spicer2
[removed]
hellwisp t1_jc89lo9 wrote
Reply to [OC] The most common song titles in music by spicer2
Read it all in a newscaster voice and it almost makes sense
visualgeomatics OP t1_jc89be1 wrote
Reply to comment by stovenn in A shaded relief map of South Asia rendered from 3d data and satellite imagery [OC] by visualgeomatics
You can download individual tiles for free but for large areas like this it would take quite some time to mosaic and clean seemlines. I purchases the eox cloudless dataset for the globe, it definitely wasn't cheap but I can map any area pretty quickly with it.
SwagDrQueefChief t1_jc88lis wrote
Reply to comment by se_nicknehm in [OC] The most common song titles in music by spicer2
Do we really wanna count all those 100 song long grindcore album where they haven't named a single song?
DorianTurk t1_jc88dms wrote
Reply to [Topic][Open] Open Discussion Thread — Anybody can post a general visualization question or start a fresh discussion! by AutoModerator
What should I do with my Spotify data?
So I requested all my streaming data from the past year, imported the json files into Excel, now I'm not sure of something "interesting" to do with it.
"Interesting" in quotes as I know nobody cares about your music, this is just for me. I listened to 21,951 tracks this past year - I created a few pivot tables and have artists ranked by number of plays, but wondering if experienced people (noob here) have any cool ideas.
BlackandBlue14 t1_jc87aa7 wrote
Reply to A shaded relief map of South Asia rendered from 3d data and satellite imagery [OC] by visualgeomatics
Amazing. What conditions are stopping Yemen and Oman from seeing the same level of greenery as India? I don’t see any obvious geographical obstacles to the rainfall that is clearly falling on India.
torchma t1_jc86f01 wrote
I thought it was supposed to be better at coding. Perhaps codeforces is more about advanced logic than coding?
Prunestand OP t1_jc85tun wrote
Reply to comment by ObfuscatedAnswers in [OC] My weight throughout my life (25 years) by Prunestand
> Meter isn't random any more. It's specified by the distance light travels in a set amount of time.
Still arbitrary.
The_DaW33D_ t1_jc84uhi wrote
Reply to [OC] The most common song titles in music by spicer2
why does these titles remind me of NF
Jin873 t1_jc846vb wrote
Reply to comment by JacobRAllen in [OC] The most common song titles in music by spicer2
this terrible silence stops me
Nightie_Whities t1_jc83ndd wrote
Reply to comment by Gmonkey_ in [OC] The most common song titles in music by spicer2
Why?
It’s the loneliest number that you’ll ever do.
um_sirius-ly t1_jc83kxx wrote
Reply to 2023 Digits of π [OC] by yaph
This is completely irrational
jakke_koala t1_jc83kd5 wrote
Reply to [OC] The most common song titles in music by spicer2
It kinda hurts that there aren't as much outro's as intro's
DDL13 t1_jc83bi0 wrote
Reply to [OC] Pretty happy with how this turned out. Top Artists for each year and overall by play time. Spotify Streaming Data + Python by yesthisisjay
Do you have a code source for this?
blazington1989 t1_jc8j8y2 wrote
Reply to [OC] The most common song titles in music by spicer2
Blackmill’s Greatest Hits list