I have a dataset regrading fees charged for hotel rooms for a period of days mostly 7 - majority of the values have hotel booked for 7 days only and few values have 3 or 2 .
I kind of quite new to Time series and it may sound silly but I have these basic questions.
Can I use other factors like type of rooms(deluxe, super deluxe encoded into 0 and 1) along with data taken out of date such as day, month, wday, ordinal date into building a time series.?
How can I make the time series uniform as some values have days booked for 2 or 3 days where majority have 7 days.
The data provided is actual booking data of the rooms and I am now considering taking different rooms seperately in a time series to build a forecast for each of the rooms.
Please I would appreciate if anyone can throw light on same clearly to help me build a solution for it.