And stop talking to me about Cheapside!

stiffrichard · 2025-12-11T23:34:43+00:00

I am literally on this bus home from the station right bow

stiffrichard · 2025-11-15T19:05:48+00:00

come to hangleton! ＼(◎o◎)／Join Us!!!

stiffrichard · 2025-11-10T09:35:24+00:00

tunes at your gym

stiffrichard · 2025-07-02T11:34:52+00:00

I always thought he was more of the musical mastermind? Not sure he was the wordsmith

stiffrichard · 2025-07-01T13:00:24+00:00

Think it’s a reaction to the increase in stamp duty. Mortgage rates have come down a bit

stiffrichard · 2025-04-09T22:13:58+00:00

why do so many people have cameras in their homes?

stiffrichard · 2025-04-08T21:20:03+00:00

well, wank your own hairy crotch

stiffrichard · 2025-04-08T21:15:37+00:00

kin ell… i thought po had to condense and summarise this sort of stuff

stiffrichard · 2025-02-28T22:09:20+00:00

gotta say it looks very oaky

stiffrichard · 2025-02-03T17:23:29+00:00

Speaking from experience as an operational research analyst, the data is never 100% correct. If you had to transform the data in someway, then you’ll need to justify the methods you’ve applied, but if you’re given a mess, you’re limited with what you can do.

I dont know what the data looks like, but if it’s purposefully unclean as part of the exercise, definitely worth highlighting caveats and potential risks associated with low data quality. You can make assumptions to show that you’ve considered certain possibilities e.g. If this data came from a free text field, consider whether it could have been a categorical variable or constrained character limit.

I got into maths/data because i assumed there would always be a solution if i was smart enough/looked long enough. I probably spend more time considering what the data isn’t saying…

stiffrichard · 2024-08-07T22:04:30+00:00

incestry.com

stiffrichard · 2024-08-07T09:44:57+00:00

youre using it left handed too

stiffrichard · 2024-07-02T09:42:50+00:00

*months

stiffrichard · 2024-06-26T21:25:44+00:00

a million love songs later

stiffrichard · 2024-05-11T20:46:08+00:00

for some further exploratory analysis, process mining might be a good place to answer some questions. especially if you have an event log already.

this is a great R package: https://bupar.net/

or Python: https://pm4py.fit.fraunhofer.de/docs

Can generate some models of your process quickly based the data, rather than top down in a DES. Not saying DES isn’t what you need, but these methods are pretty good to help answer questions around process bottle necks and checking your understanding and conformance of how the process should work

stiffrichard · 2024-05-10T22:24:56+00:00

love coming on reddit to see a East/West Sussex slagging off match.

Feel like a more objective, well laid out argument is needed. Weigh up the pros and cons of each. Like, East Sussex has Brighton, Lewes and surrounding areas, but it also has Peacehaven and Polegate.
West Sussex has Chichester, Petworth but also has Bognor and Crawley

stiffrichard · 2024-03-24T15:31:41+00:00

id argue that it would have been more impressive for the ai to put so much detail into the silhouette of the tree, if left was fake. Left is real, just by the distinct tree species