The fact that there are several distinct clusters with the same label means that there are several distinct recipes that go under the same name, which I think is interesting.

More relevant is that the xe/ze crowd are going to be younger on the whole, what with insisting on a neologism for a basic part of speech to refer to them.

You mean the axes? They are simply the 1st and 2nd components. Not very useful, and quite ok to omit. Do you mean the cluster labels? They are useful enough, I think. It would have been useful to label it as a PCA plot, though.

Great compilation of details! Which market is this data from? HelloFresh is available in many countries around the world and their recipe offering is different in each one of them.

I’d assume this is US based data?

I know this is just the NCAA tournament graph. It would be interesting to see how it overlaps with the NIT. The NCAA tournament wasn’t always used to coronate the national champion. The NIT was the most prestigious tournament for decades. The NCAA tournament would select only 8 teams from specific regions of the US. Sometimes better schools were left out. A lot of the times the best schools declined to play in the NIT because it had more national exposure with Madison Square Garden.

That is so awesome thanks for sharing that

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Instead of this rubric I would look into the points difference at the end of each match and work on that. Otherwise it’s way too heavily weighted.

For example, imagine a final where the winner gets decided by a half court three point buzzer beater. That game was effectively a tie with luck being the deciding factor. But now the winner has double the points of the second place.

This causes a huge leapfrog effect that pushes the champions higher and higher.

Without those 12 years they’d just be another gray line.

Leave us alone, we have like, 3 wins this season.

Wooden invented the fast break and the full court zone press. He was the first college coach to recognize that a well conditioned team could win by keeping up the game tempo and exhausting the other team. Also the first to recognize that building strength and endurance in the gym was as important as working on skills.

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So named because the coach gave the program such a big woody.

Seriously, though, when Wooden first arrived at UCLA, basketball wasn’t even a varsity sport. His first challenge was convincing the athletic department to take it on as a varsity sport, with full scholarships for all team members.

Living in Louisville this really is the most annoying time of year. Indiana fans to the north Louisville fans in the city and Kentucky fans in the city and all over the state. Fighting and arguing all month until their team is eliminated. And if one wins, absolute chaos.

I actually unironically support this

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Clearly we should just bring back thee and thy

I think the main concern here is how astronomically positively skewed average income is. Because of this median and mean are going to differ considerably but the median will more closely represent more people.

Also, if they have the data to calculate average individual income they necessarily have the data to calculate median individual income (because they are the same data).

Edit: typo

Russell played for the University of San Francisco. You might be thinking of Bill Walton or Lew Alcindor.

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And then there was freedoms of opinions! Ain’t it beautiful? 😁

>UCLA did have a much easier road to the final four

And UCLA proceeded to stomp everything on their way to 10 of 12 national championships. So at most they got an extra 2-8 pts from the off years when they didn't win it, assuming they finished a spot or two worse in those two years.

That doesn't really make sense. It's a very dismissive thing to say. you probably use "they" a few times a day at least.

Do you know about sexual dimorphism in humans? Do you know that gender isn't biological? Do you know that preferred pronouns can also be isolated from the idea of gender? Yea idk. Open your mind and do some research

You must be right. I must have been misinterpreting the labeling on the X axis

Based on the Kansas spike at the end, I’m guessing ‘22 is the far right axis on the graph