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In Search of Forecasting

  • Writer: Tim Burns
    Tim Burns
  • May 20
  • 1 min read

Comparing Seasonal Lag on Liquor Store Sales
Comparing Seasonal Lag on Liquor Store Sales

Finding Seasonal Correlations

Liquor store data seems like a good test set for building out forecasting models. It should be highly seasonal, with holiday spikes and dry spells when quitting drinking is popular.


I am exploring the workhorse of forecasting - SARIMA. Seasonal Auto-Regressive Integrated Moving Average.



We see some dual spikes in late June and December
We see some dual spikes in late June and December



References


 
 
 

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