It was because the air quality sensor (in my study area) was down on certain days in different months. Therefore using monthly averages helped to mitigate the impact of missing data.
Oh ok that makes sense. Is it correct to say that the time intervals between the observations in a time series should be constant? And any missing values should be dealt with appropriately? May be that could be a topic for a video: How to deal with missing values in time series? Thanks!! @@Researchocrat
Amazing Tutorial, Bro
How could I forecast per 53 weeks? in 3 months and in 6 months? Thanks in advance
source of data, which pm factor it is?
Why you took the means of AQI for each month? Why not daily AQIs? Btw thanks for the explanation.
It was because the air quality sensor (in my study area) was down on certain days in different months. Therefore using monthly averages helped to mitigate the impact of missing data.
Oh ok that makes sense. Is it correct to say that the time intervals between the observations in a time series should be constant? And any missing values should be dealt with appropriately? May be that could be a topic for a video: How to deal with missing values in time series? Thanks!! @@Researchocrat
I may be wrong, but I did not find any missing values in the data and there were no missing dates as well. @@Researchocrat