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I analyzed the lineups at the most popular nightclubs

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Re: I analyzed the lineups at the most popular nightclubs

#21
post #13

Am I missing something or is the author using dots for both breaking up large numbers and also for decimal points?

Yes, I assume it is because you use dots to seperate large numbers in most European languages and they forgot it's different in English.

usually its a combination of . , not exclusively . for both the thousands seperator and the radix point.

Re: I analyzed the lineups at the most popular nightclubs

#22
I'm just gonna say that some aspect of the data collection here seems flawed: among the SF clubs listed are DNA Lounge and Public Works – which are great clubs, don't get me wrong – but they are very much on the smaller side. And, Phonobar? That is a bar/restaurant, not a nightclub at all. Meanwhile, The Warfield and 1015 Folsom are left out – how does that make any sense?

Re: I analyzed the lineups at the most popular nightclubs

#24
Btw, SF night clubs actively refuse to let “tech nerds” in. I witnessed whole groups of people who attended the huggingface “Woodstock of AI” meetup circa 2023 and the local clubs would refuse to let anyone in who wore glasses or wore Patagonia.

Thanks John Hughes films!

Re: I analyzed the lineups at the most popular nightclubs

#27
post #22

I'm just gonna say that some aspect of the data collection here seems flawed: among the SF clubs listed are DNA Lounge and Public Works – which are great clubs, don't get me wrong – but they are very much on the smaller side. And, Phonobar? That is a bar/restaurant, not a nightclub at all. Meanwhile, The Warfield and 1015 Folsom are left out – how does that make any sense?

It's based on popularity on Resident Advisor / RA (those are the clubs that had the most "followers" among their userbase)

Re: I analyzed the lineups at the most popular nightclubs

#28
This is really cool but in my experience, RA is typically used for less popular “underground” (in very large quotes) events, warehouse parties, etc. It might be different in Europe or other cities here in the states. The data for such events is interesting in its own right, but it’s probably not quite representative of the most popular clubs and/or artists.

Perhaps doing a similar thing with Ticketmaster/tixr/all the other ticket apps and combining them together could produce more representative data, of course you’d still have the problem of having to filter out actual clubs.

on an unrelated note, what in gods name is that color scheme on the visualizations? xD

Re: I analyzed the lineups at the most popular nightclubs

#29

I wonder if you’d get a higher percent of overlap if you only focused on Friday/Saturday bookings

For the San Francisco venues, some of my favorite artists come on random days, and as a 40-something with a kid I would only go out on nights other than Friday/Saturday if I REALLY liked the artist. From this perspective, it might make sense to weight weekday outliers higher

Re: I analyzed the lineups at the most popular nightclubs

#30

Btw, SF night clubs actively refuse to let “tech nerds” in. I witnessed whole groups of people who attended the huggingface “Woodstock of AI” meetup circa 2023 and the local clubs would refuse to let anyone in who wore glasses or wore Patagonia. Thanks John Hughes films!

That doesn't make sense. Huggingface is a 'popular' tech company. Maybe those 'nerds' just didn't have tickets
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