I have three datasets:
Dataset_1= column name as
ID, Date, counter_id
Dataset_2= column name as
ID, no. of tickets sold
Dataset_3= column names as
country_code ranges from 1 to 30 as codes for different countries and
counter_id as counter codes ranging from 1 to 100. I merged the datasets based on common column
I have to estimate how many tickets will be sold during the next 20 days in a given country and through a specific counter.
What I have done is predict the number of tickets sold for next 10 days using time series forecasting. But, I'm not able to decide how I can predict the
country_code along with tickets sold? Please give me some useful feedback. I am a beginner in data science. Thanks!