This front line is from September. The Kherson offensive has meant that Ukraine controls much more in the South West of this map than is shown, generally up to the major river at Kherson.

This was made using PowerPoint. I utilized the AP Poll rankings for Preseason through Week 9 and the College Football Playoff rankings for Weeks 10-14. I don’t like changing sources midway through the year, but there’s no CFP ranking before week 10 and it’s the only one that “matters” starting that week. I’ve personally found the AP Poll to be more authoritative than the Coaches Poll, which is why I chose to use that for the first 10 weeks.

I’m aware that this chart is extremely busy, and would appreciate any suggestions folks might have on how to make it more readable.

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Is this really "beautiful" though? Seems like scaremongering to me

https://ourworldindata.org

https://hraf.yale.edu/tag/data/

https://cces.gov.harvard.edu

For some real life datasets

If you want them to gain experience cleaning data, you could always throw in some NAs and other weirdness.

NYC had draft riots, but you don’t understand how big of a population center it was at the time. NYS was a breadbasket state and industrial powerhouse, and the main port of entry. All those immigrants getting recruited off the boat for guaranteed income would’ve gone into NY units. So not only is one of (if not the largest) states by population Recruiting from within but also responsible for grabbing up new American immigrants as well.

And the draft riots were the exception, not the norm. Basically every town in the state has a canon from the war at its memorial with lists of all the men that never came back, and the canon is rightly pointed south.

Question: Where are good places to find raw data?

I am a high school math teacher in Michigan teaching my first stats class. I'd like to do more authentic assignments where students are working with real sets of data answering questions about the real world. Doing our own gathering was cool, but we are in a very small alternative school so we end up with small data sets which just isn't as cool for doing some types of visualizations, etc. If there is another subreddit altogether for something like this, I'd love recommendations there too. Thank you!

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I think that there are caps on the number of federal FTEs, but I may be imagining things. Brookings has a report from 2020 that shows the number of contractors, available at https://www.brookings.edu/blog/fixgov/2020/10/07/the-true-size-of-government-is-nearing-a-record-high/

I’d guess those would be classified more by their area of origin than “bbq”. Even tho you are right

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There might be better terms for those metrics.

Skewed means the area is over-represented in a few categories and under-represented in others. Sao Paulo has a lot of restaurants but 75% are either Brazilian, Japanese, or Italian. And it has only 39 categories (roughly half of New York).

Efficient is the opposite. Bridgeport does not have a ton of restaurants, but it covers a lot of categories.

There must be a mistake here because Netherlands, USA, Argentina and Australia are all competing for exactly one SF spot, yet they have a combined 105% to get there.

It should equal exactly 100%.

Same case for France, England, Poland and Senegal. Should have a combined 100% to reach the semis yet they somehow have a combined 94%.

Obama's mansion on the waterline at Martha's Vineyard enters the chat.

Yep, and the other 3 he lost the bet. So 4 cents lost in bets, but the 1 he lost in Saudi Argentina gained him 24

Ah so he used the betting odds? Got it.

Cousins which are present in just 1 country should be removed. Like the American lol

He bet a dollar Saudi Arabia would beat Argentina. Saudi won. Profit.

Why does it jump from -4 to 20 at the beginning?

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It seemed admin heavy to me too.

> And what does “highly efficient” mean?

more spread out?

Well barbecue comes from some carribean natives originally, plus there is korean barbecue, south african braai, etc. it's certainly very popular in america, but a bit more widespread than cheese grits and rhubarb pie :)

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I mean the underdog is who wins to make it an upset. They are two different things.