The data for the Rossman Store Sales competition can be found in the link
https://www.kaggle.com/c/rossmann-store-sales/data

Data fields

Most of the fields are self-explanatory. The following are descriptions for those that aren't.

    Id - an Id that represents a (Store, Date) duple within the test set
    Store - a unique Id for each store
    Sales - the turnover for any given day (this is what you are predicting)
    Customers - the number of customers on a given day
    Open - an indicator for whether the store was open: 0 = closed, 1 = open
    StateHoliday - indicates a state holiday. Normally all stores, with few exceptions, are closed on state holidays.
	Note that all schools are closed on public holidays and weekends. a = public holiday, b = Easter holiday, c = Christmas, 0 = None
    SchoolHoliday - indicates if the (Store, Date) was affected by the closure of public schools
    StoreType - differentiates between 4 different store models: a, b, c, d
    Assortment - describes an assortment level: a = basic, b = extra, c = extended
    CompetitionDistance - distance in meters to the nearest competitor store
    CompetitionOpenSince[Month/Year] - gives the approximate year and month of the time the nearest competitor was opened
    Promo - indicates whether a store is running a promo on that day
    Promo2 - Promo2 is a continuing and consecutive promotion for some stores: 0 = store is not participating, 1 = store is participating
    Promo2Since[Year/Week] - describes the year and calendar week when the store started participating in Promo2
    PromoInterval - describes the consecutive intervals Promo2 is started,
	naming the months the promotion is started anew. E.g. "Feb,May,Aug,Nov" means each round starts in February, May, August, November
	of any given year for that store

Source and Reference

https://www.kaggle.com/nsecord/rossmann-store-sales/filling-gaps-in-the-training-set

https://www.kaggle.com/thie1e/rossmann-store-sales/exploratory-analysis-rossmann
 
