Does that mean it's going to get even more winter weather after what we've already had (down here in Arkansas)?

Well the OP's graph isn't much better in that regard

I had no idea Groundhog day was in Canada as well

The key is descending order of total deliveries.

The key should be chronological by model. Or something. Anything.

This altitude is significantly lower than even the height commercial airliners fly at.. less than ⅕ that height actually.

Did you write the map library yourself? Working on a project now that requires a map component so happy to hear your experience with the library you used

It means the abnormally warm winter we've been having will feel like a normal winter for 2 days and then go back to being abnormally warm again. Really don't think it'll disrupt much

I cant help but feel our colorblind friends might not approve of this

I absolutely love this, but I feel like the fact that Wiarton Willie is typically/historically Albino should be mentioned (although as of 2022, they’re using a brown Groundhog - perhaps because no albinos have been born recently?)

Very nice map and thank you for sharing the code. I love GIS stuff and web-mapping, never used Leaflet but seems to be way more simple and intuitive than mapbox!

I remember it was only a few years ago, average temperature we saw for a good couple months was probably in the mid 20s. Walking to class for 8am when the sun was rising and it was 12° out in December.

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I am working on a project where I have been provided a data set of auto loans for a specific period of time with many loan parameters such as credit score, debt to income, loan to value, original term, interest rate, payment amount, vehicles year make and model, probability of default, unsecured DTI, etc.

I need to identify patterns in auto loan charge-offs (vehicle surrenders/repo) . Anything I want at all.

I’ve come up with some ideas: basic comparison of a number of parameters between charge-offs and non-charge-offs. Interest accrual on loans prior to charge off vs the calculated loss of the vehicle and how large the offset is. Number of months loan was working with collections prior to default and changes made to loan payments.

I am just looking for additional ideas on what I could show with this data. I’m happy to provide additional information if anyone is interested.

This is specifically the 747 though, not Boeing aircraft.

Which is weird; I'd expect a shadow to mean more sun to mean clearer skies to mean more spring-like. Maybe these groundhogs know something about meteorology that I don't.

Way to call Lucy the Lobster a glorified rat!

Interesting, I’m from Lander, WY, and I had no idea we had a groundhog statue.

I think those parts of the atmosphere, or rather the flow/currents, tend to be higher up when the ground is also higher up.

So we get a nice lavender, but not in France.

So lemme guess, this is well below the altitude of the low orbiting 5g satelites..... ? Not trying to theorise just simply asking for a friend #DrDavidKieth geoengineering scientist

Red on one dimension, blue on the other. You go white to pure red, and white to pure blue depending on where you are in the data's bounding box. So basically each country on a map gets a color based on

x * Red + y * blue

Something like that

Meanwhile I'm wondering what air tags have to do with anything.
Now that I see where you were going with that, I applaud your terrible/awesome joke. Now go sleep, dude.

But that's just one dimension, red to blue. That works if you're measuring one thing. But how do you use this for two separate measures (i.e., two dimensions)?

Nile is so clear to see here.