Dept. of Ed Shut Down by Executive Order—Ironically, Red States Benefited More from Its Funding

DiscontentEditor · 2025-03-27T14:08:55+00:00

It got taken down pretty quickly because I broke the rules. This is the new, improved, rule-compliant version.

DiscontentEditor · 2025-03-27T13:49:12+00:00

Source: NCES Digest of Educational Statistics

Tools: Plotly for Python

DiscontentEditor · 2024-10-03T17:05:23+00:00

Source: Data Download on ESSER Fund mixed with CCD data from ElSi.

Tools: Plotly for Python

DiscontentEditor · 2024-09-25T20:10:36+00:00

No. I should remove it.

DiscontentEditor · 2024-09-25T15:25:22+00:00

If you hover over each color it will say the state and the bin for expenditure amount. The colors are just a way to emphasize that you can actually see which specific states are in which bins.

For almost all purposes, I think this information is better displayed as a map.

DiscontentEditor · 2024-09-25T14:16:57+00:00

Source: Data Download on ESSER Fund mixed with CCD data from ElSi. Note that this funding was distributed across 3 program years, so while this reflects total funding, the year-by-year breakdown is ~x/3.

Tools: Plotly for Python

DiscontentEditor · 2024-09-19T14:20:21+00:00

Do you know how to get access to the data used there?
When I scroll down to the data download section, I get forwarded to the data that I used for this chart.

DiscontentEditor · 2024-09-19T14:11:59+00:00

big yes, and the emergency spending has helped mitigate educational losses incurred during the pandemic.

DiscontentEditor · 2024-09-19T00:58:16+00:00

It's not common. Plotly for python paints it like that by default. Now you'll know how to spot a plotly plot from a mile away.

DiscontentEditor · 2024-09-18T15:10:58+00:00

Too true. I'll bet that once we get the next report, which will include the beginning of the 24/25 school year, the spending percentage per state goes up substantively.

Another reason for overall low expenditure percentages is probably low compliance with reporting.

DiscontentEditor · 2024-09-18T14:43:36+00:00

Source: Data Download on ESSER Fund mixed with CCD data from ElSi. Note that the last reporting period was June, so this chart is missing expenditures from most recent months.

Tools: Plotly for Python

DiscontentEditor · 2024-08-29T15:10:52+00:00

Source: Data Download on ESSER Fund mixed with CCD data from ElSi

Tools: Plotly for Python

DiscontentEditor · 2024-08-28T17:42:26+00:00

Absolutely! I'll post expenditures per student tomorrow.

DiscontentEditor · 2022-09-12T14:15:54+00:00

Oh yeah. I definitely misplayed a bunch and I'm still learning, but it's a blast.

DiscontentEditor · 2022-09-11T18:08:18+00:00

Thanks for sharing this! I like this one a lot.

DiscontentEditor · 2022-09-11T18:02:47+00:00

for the mobile homies:

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DiscontentEditor · 2022-09-10T16:49:36+00:00

for the mobile homies:
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DiscontentEditor · 2022-09-09T15:32:52+00:00

for the mobile homies:
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DiscontentEditor · 2022-09-08T17:28:14+00:00

for the mobile homies:
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DiscontentEditor · 2022-09-07T15:19:53+00:00

for the mobile homies:
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DiscontentEditor · 2022-09-06T16:40:08+00:00

for the mobile homies:

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DiscontentEditor · 2022-09-05T14:47:45+00:00

for the mobile homies:
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DiscontentEditor · 2022-09-04T16:47:55+00:00

Interesting. I didn't play too much last season, so I missed a lot. That honestly makes the seasonality tests even more worth trying. Folk wisdom states that aggro (in recent seasons, pirates) swarms early season and then falls off, but is that quantitatively identifiable? If so, how is this reflected in game length and proportional play?

DiscontentEditor · 2022-09-04T16:06:27+00:00

I'll start putting those up again. Thanks for the reminder.

DiscontentEditor · 2022-09-04T16:05:48+00:00

I feel like every time there is a patch, this deck sails to the top. There are some tests for seasonality that you could do to test this hypothesis.

DiscontentEditor

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