PRODUCT {regclass}

Sales of a product one quarter after release

Description

Sales of a product two quarters after release

Usage

data("PRODUCT")

Format

A data frame with 2768 observations on the following 4 variables.

Outcome

a factor with levels fail success indicating whether the product was deemed a success or failure

Category

a factor with levels A B C D, the type of item (e.g., kitchen, toys, consumables)

Trend

a factor with levels down up, indicating whether the sales over the first 13 weeks had an upward trend or downward trend according to a simple linear regression

SoldWeek13

a numeric vector, the number of items sold 13 weeks after release

Details

Inspired by the dunnhumby hackathon hosted at https://www.kaggle.com/c/hack-reduce-dunnhumby-hackathon. The goal is to predict whether a product will be a success or failure half a year after its release based on its characteristics and performance during the first quarter after its release.

Source

Adapted from https://www.kaggle.com/c/hack-reduce-dunnhumby-hackathon