Your task is to predict the number of daily tickets sold for next year in a swimming pool in a large city. The swimming pool sells tickets through its sales terminal that records all transactions. You aggregate that data to daily frequency. How should you use the information on daily sales to produce your forecast? In particular, how should you model trend, and how should you model seasonality by months of the year and days of the week to produce the best prediction?
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