What does the seasonal adjustment curve for major macroeconomic metrics look like? All the explanations of seasonal adjustment that I found from a quick search either don't give any quantitative examples, or give an example with a time series that is either made up or represents an extremely specific microeconomic data set.

I'm curious, what does the seasonal adjustment curve look like for major macroeconomic variables like GDP or the unemployment rate? I don't need precise numerical values; I'm just curious about what the curve looks like visually - what are the busier and slower times of year, and what is the order of magnitude of the deviations from the annual mean.

(I know there are different methods for seasonal adjustment, e.g. additive vs. multiplicative models - either one will do.)
Quarterly GDP seasonally adjusted


source:  https://aneconomicsense.org/category/econ-data/gdp-productivity/
AnEconomicSense.org by Frank Lysy 

Monthly unemployment rate seasonally adjusted



Source: https://www.researchgate.net/figure/Seasonal-adjustment-of-US-unemployment-using-the-defaults-of-seasonal-The-result-is_fig2_329822239
by  Christoph Sax and Dirk Eddelbuettel

These are just some examples.  

To manually do it in excel this link  from Catherine Hood shows an example   

http://www.catherinechhood.net/SeasAdjShortTimeSeriesExcel.pdf

simplest case- – A Quarterly Series with a Flat Trend

Steps to calculate the seasonal adjustment:


Calculate the average for the series. This will be use as the trend.
Calculate the difference between the original series and the trend. Label this as "residual"
Calculate the seasonal factors (SF), which are the average of the residuals for a given quarter.


For example, the seasonal factors for all the Quarter 1 values will be (111+87+145) / 3 = 114.3333 and so on.


Subtract the seasonal factor from the original series to get the seasonally adjusted series. For example, for Quarter 1, 1991, we have 864 – 114.333 = 749.6667.