@ARock1980 you can take a look at these threads and examples. Though I agree with @hmfa and @rfeigel you most likely have too few data points to make a real decision.
Not 100% sure what you mean by ‘rendering’. It is possible to make a prediction. I added a workflow that does that and also extended the existing ones slightly:
[image]
I also set up an example that just uses the numbers of the previous year and used the last year as test. But the results seem to be worse. You could check it out if you want:
I set up an example that should look like your data (if not feel free to adapt and inform). We have two years of data (from one city) and data from January and want to predict the coefficient for Feb 2020.
[image]
2019 serves as training and 2018 as test data. You might have more complex settings with cross-validation if you want. And also since you have the data you might provide coefficients of some more past months. Each line represents its own time series so to speak. Of course, such a se…
If you want to read more about methods and philosophy of predictions read the liked articles.
4 Likes