Hello,
I have five years of historical daily sales data (2010 to 2014) and i need to predict the sales for jan 1st to jan 15th in the year 2015. The data is not continuous. There are dates/ month missing for example: in the year of 2010, the data for jan is absent and in the year of 2014 the data for oct, nov, dec is absent. Also i need to determine any seasonality that exist but so far i dont have any luck. i would like to know to how rectify missing months and dates so as to get a patterned data?
any help would be greatly appreciated.