Fair points. I used not-seasonally-adjusted numbers because the YOY effectively eliminates seasonal effects.

I am doing a similar project with all the fields in my home state, Michigan. If you could make use of my Google map plots I'd be happy to share them

Month-over-month numbers get revisions.

Not eliminating seasonality also means that your month-over-month numbers have an additional bias.

Can you please add some explanation? For example, if the Nov CPI was +0.1%, why do you show that as < zero? I would have thought it’s approximately 1.2% annualized?

and what the heck these lines even mean?

That's an insightful chart, but I say this as an economist who understands the difference between year-over-year and month-over-month rates of change, the concept of annualization, etc. A general audience would probably find this confusing without additional explanation.

When you say the year-over-year CPI change is "exactly 6.5 months out of date", are you saying that (for example) the December 2021 to December 2022 is really capturing the rate of change at the midpoint of that time period (mid-June)? Other than the reporting lags, I'm not sure what you're including in the concept of "out of date".

Source: BLS.gov
Tool: Excel

Note that 4 out of the last 5 months, inflation has roughly been at or below the target inflation.

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No :D Just didn't want to make it too long. And since the spreadsheet is linked in the source, anyone can play with it and access the data.

I worked with Fortran in my MSc thesis that I'm currently finishing the revision writing for. The freshwater lake model FLake runs on it, calculating vertical temperature structure and mixing conditions in lakes

I didnt programm in it but the model helped me a lot

Proud member of the "did FORTRAN on cards" society

Surprised not to see Algol (or Pascal) in the graph. I thought C (and Pascal) was a descendant of Algol.

COBOL has entered the chat.

Apologies if I'm misunderstanding but is your claim that a sharp jump in deaths this year can be attributed to baby boomers hitting 75? If so wouldn't you expect to see a steady, gradual increase over the past 5 years rather than what it sounds like is a step change? The categorisation of "deaths in the 75+ group" may have a spike but the likelihood of all cause deaths shouldn't be that much higher at 75 than 74 right?

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a nice way to see the arrows direction is knowing that they always turn clockwise from their source

Nice, thanks

I'm looking at the chart above which lists only five countries. I guess you're looking at something different since you're referring to countries not on the chart: Iran and Russia.

The colors are based on the Louvain method for community detection, the node size represents the number of influenced languages within this graph and the edges point from influencing to influenced languages. There are small arrow markers that show the direction, better visible when you zoom in on the graph on the graphic source page.

So buy your LCG ( liquified carbon gas ) in South Africa, export to Sweden and PROFIT.

Were you in a hurry while recording this?

a) youre wrong in general

b) if you were right, you would still be wrong. it would be your boss' fault you got laid off, not the immigrants'

What do the color, size and edges mean?

Barcelona even has 2 players in the final, this is wrong data.

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