StanislavYatsevich
commented
3 weeks ago Why bfill is used to fill gaps in the data? Are there any assumptions behind it to work properly? Are these assumptions confirmed to be true when calling the method? What other options were considered?
That's a good point to observe. Actually I chose this method some months ago because I had the first value equal to "NaN" in the dataset, and therefore I couldn't use the standard ffill method. Now I have read more about different filling methods and chose the 'time' as the optimal one because it interpolates missing values depending on other known values and time distance between them. 37fc238
https://github.com/StanislavYatsevich/Store_Sales/blob/9c10a6aec4c0ceecd40d976e48cf62c6d8003f37/src/store_sales/functions.py#L81C23-L81C28
Why bfill is used to fill gaps in the data? Are there any assumptions behind it to work properly? Are these assumptions confirmed to be true when calling the method? What other options were considered?