 When doing our exploratory analysis, I'd like to understand the bread and butter of the time series that is trend and seasonality. So first of all, does this data exhibit seasonality? Basically, we are hit relatively hard on Mondays, low on Thursdays, and so on. Now question two. Over time, we'd probably want to know if the orders have been increasing or decreasing in volume. And this probably happens because we launched a promotional event that month, and we see another trend change in October, and mostly because we changed our payment strategy. Now that we have like a basic understanding of our data, how do we make predictions? If we think of this as a traditional time series forecasting problem, there are several approaches like Arima, Profit, Neural Profit, and Vector Auto-Regression.