Future Time-varying Covariates for the Apparel Retailer Dataset

This simulated data contains seasonal information and additional covariates on all 600 customers in the "apparelTrans" after the last transaction in the dataset. This information can be used as time-varying covariates for prediction future customer behavior.

data("apparelDynCovFuture")

Format

A data.table with 56,400 rows and 5 variables

Id

Customer Id

Cov.Date

Date of contextual factor

High.Season

Seasonal variable: 1 indicating a time-period that is considered "high season".

Gender

0=male, 1=female

Channel

Acquisition channel: 0=online, 1=offline