Category: Matplotlib
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Forecasting New Car Sales Seasonal Volume – Part 2
Where we left off with Part 1 of This Blog we examined the seasonal data as a whole and utilised this data through an ARIMA model to predict the 2018 results. For the calendar year to date, we had an accuracy of 3.88%. While that accuracy is pretty good if you were to use this method to…
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Forecasting New Car Sales Seasonal Volume – Part 1
Seasonal data analysis in Python involves examining available data of past sales in an effort to draw a forecast of what future sales are likely to be, this can be vital for many reasons such as knowing how much inventory to have on hand as well as arranging marketing activities around this. The methods in…