PRODUCT: Sales of a product one quarter after release
In regclass: Tools for an Introductory Class in Regression and Modeling

Sales of a product two quarters after release

1	data("PRODUCT")

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

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.

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

regclass documentation built on March 26, 2020, 8:02 p.m.