Atomicityy

Atomicityy t1_j2fsm6t wrote

I curated a menu because there’s too many options.

>>> The singer hugs you with their voice

  • Coldplay - Sparks
  • Nick Mulvey - In your hands
  • Lake Street Dive - Better than

>>> Strong female energy

  • Lion babe, busta rhymes - Harder
  • Michael Brun, Kah-Lo - Spice
  • Teddi Gold, Mi$HNRZ - Bossa nova baby

>>> Sad Blanket

  • Labrinth, Zendaya - Rue’s I’m Tired
  • Joesef - Comedown
  • Babeheaven - Seabird

>>> Joy

  • OPM - Heaven is a halfpipe (if I die)
  • Metronomy - The look
  • Breakbot - Baby I’m yours

>>> Can’t talk must move

  • Ey Walha - Pepas
  • Moderat - A new error
  • Orange - Pankobabaunka

>>> New core-memory unlocked

  • Queen - Love of my life
  • Kate Bush - Running up that hill
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Atomicityy t1_j252d98 wrote

Two thoughts.

One, a fellow Redditor pointed out recently that the Rick fanbase is a bit of a rigid one in terms of nostalgia. Oversaturation. There is already so much great stuff that new Rick bands have a harder time getting a foot in the door.

Second, apparently the average person stops exploring new music around their 30s. Let’s call them the passive consumers. Active consumers enjoy discovering new sounds and don’t wait for passive exposure through radio/tv/clubs/friends etc.

I’m sure there’s new Rick out there, you just gotta make an effort. A quick Spotify search gives me this 2022 playlist, 2nd 2022 playlist, 3rd 2022 playlist, best of 2019, best of 2018, best of 2017, best of 2020 and 2010’s rock anthems

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Atomicityy t1_iyd9odo wrote

Can someone recommend a noob friendly program to analyze data? Will said program also help me transform my findings into charts and graphs?

I want to analyse my spotify wrapped playlists from 2016 til now. Examples: how is each decade/genre represented, nationalities of the artists, which songs return over the years etc.

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