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Thanks for explaining how it works - I don't use R (I assume this is R). This does not seem like a good way to produce "error bars" around a forecast like the one in this case study. It seems more like a note about how much volatility there has been in the past.



> I don't use R (I assume this is R)

Just to clarify... this is Python code, not R.


Thanks.




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