Chapter 3: Non-Daily Data
When Prophet was first released, it assumed all data would be on a daily scale, with one row of data per day. It has since grown to handle many different granularities of data, but because of its historical conventions, there are few things to be cautious of when working with non-daily data.
In this chapter, you will look at monthly data (and in fact, any data that is measured in timeframes greater than a day) and see how to change the frequency of predictions to avoid unexpected results. You will also look at hourly data and observe an additional component in the components plot. Finally, you will learn how to handle data that has regular gaps along the time axis.
This chapter will cover the following:
- Using monthly data
- Using sub-daily data
- Using data with regular gaps
