Python Time Series
Simple Moving Averages, Exponential Weighted Moving Averages, ETS (Error, Trend & Seasonality) Decomposition, ARIMA, and SARIMAX
Install / Use
npx skills add f2005636/Python-Time-SeriesInstalls into whichever agent you are using.
README
Python-Time-Series
Information on Time Series datasets: The datasets were downloaded from Infoshare: http://www.stats.govt.nz/infoshare/Default.aspx on 6 December 2012
Retail sales
- RetailNZTS4: Monthly data, 4 columns, 185 rows
Tourism and travel
- AccRegNZTS13: Monthly data, 13 columns, 195 rows
- AccomNZTS12: Monthly data, 12 columns, 195 rows
- NZDestNZTS9: Monthly data, 9 columns, 170 rows
- VisitorsNatNZTS9: Monthly data, 9 columns, 170 rows
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