shoppingBehavior {ViSiElse}

Simulated online shopping behavior time data

Description

This dataset shows the buying process of consumers over internet based on a 5-steps model: need recognition, information search, evaluation, purchase decision, and post-purchase behavior. This simulated dataset of 100 subjects correspond to the timestamps (in s) of each action of the model (except for the post-purchase behavior) executed by the subjects.

Usage

data(shoppingBehavior)

Format

A data frame with 100 rows and 7 variables:

id

Customer ID.

need

Time (in s) when the customer decides he/she needs an item.

start_search

Time (in s) when the customer starts to search for the item.

stop_search

Time (in s) when the customer stops to search for the item.

start_eval

Time (in s) when the customer starts to evaluate the item.

stop_eval

Time (in s) when the customer stops to evaluate the item.

deci

Time (in s) when the customer decides to buy the item.

References

Garnier EM, Fouret N, Descoins M (2019) ViSiElse: An innovative R-package to visualize raw behavioral data over time. PeerJ Preprints 10.7287/peerj.preprints.27665v2 ([PeerJ](https://doi.org/10.7287/peerj.preprints.27665v2))

Examples

data(shoppingBehavior)
head(shoppingBehavior)