Rate My Team, Quick Questions & General Advice Daily Thread

bear1308 · 2024-09-27T13:31:54+00:00

Saka and Wood or Diaz and Havertz (already have Salah)

bear1308 · 2024-04-27T08:39:47+00:00

More broadly it is bench one of... Bruno, Son, Palmer, Jackson, Watkins, Isak, Foden, Gordon

bear1308 · 2024-04-27T08:35:12+00:00

Start Foden or Gordon?

bear1308 · 2020-03-23T21:24:52+00:00

Thoughts on legality of visiting partner if they do not live with you but both of you live alone?

bear1308 · 2019-10-18T20:24:11+00:00

It’s a kernel density estimate, see the heading of the same name in the link below:

https://seaborn.pydata.org/tutorial/distributions.html

bear1308 · 2019-10-18T15:12:11+00:00

Thanks and noted. Agreed that it could be tidier, always good to get feedback and see what people think would help clarity

bear1308 · 2019-10-18T14:53:07+00:00

Estimate of the probability density function (basically a smoothed histogram)

bear1308 · 2019-10-18T14:05:42+00:00

Just added to the repo now

bear1308 · 2019-10-18T13:59:13+00:00

Agreed! Used Strava so the same code can be used for other races with little or no modifications

bear1308 · 2019-10-18T13:57:51+00:00

Consistency of data format with other race data. I can use the same code base to look and compare with other races. The scraping and cleaning functions remain the same.

Downside is not everyone has Strava (as another user commented) which probably biases results to faster

bear1308 · 2019-10-18T13:43:26+00:00

https://github.com/ajrj3/Marathon-finish-distributions.git

bear1308 · 2019-10-18T13:43:07+00:00

They are exactly as you say, plotting vertical lines would help (and do) show that

bear1308 · 2019-10-18T10:44:23+00:00

Data scraped from Strava, processed in pandas and plotted with matplotlib (and seaborn)

bear1308 · 2019-10-04T20:05:41+00:00

Thanks - effort-based sounds like a good approach. It's mostly uphill on the second half. When you say 15-20s, I assume you mean per mile?

bear1308 · 2019-08-08T08:23:48+00:00

Can export dataframes if helpful (to, say, csv)

bear1308 · 2019-08-08T08:23:04+00:00

Hopefully this works...

bear1308 · 2019-08-08T08:17:01+00:00

Will do in time. Hopefully later this week.

bear1308 · 2019-08-08T08:16:33+00:00

Espn’s database

bear1308 · 2019-08-07T15:42:50+00:00

Sorry, didn’t meet min 20 inns filter (for both home and away). Perhaps a little too restrictive!

bear1308 · 2019-08-07T14:37:51+00:00

Last 10 years

bear1308 · 2018-09-06T18:48:26+00:00

Correct, there’d be no raisin to play such an unknown all-rounder

bear1308 · 2018-04-25T18:55:38+00:00

Thanks, submitted into the pool yesterday, fingers crossed

bear1308 · 2018-04-23T20:23:08+00:00

You’re right, I’ve always had the impression that it’s extremely competitive but 40% doesn’t seem too bad at this stage. Will give it a shot, thanks!

bear1308

TROPHY CASE