MCI (version 1.3.3)

grocery1: Grocery store choices in Goettingen

Description

Results from a POS survey in Goettingen (Germany) from June 2015 (raw data). Amongst other things, the participants were asked about their last grocery shopping trip (store choice and expenditures) and their place of residence (ZIP code). The survey dataset contains 179 cases/interviewed individuals. The survey is not representative and should be regarded as an example.

Usage

data("grocery1")

Format

A data frame with 179 observations on the following 5 variables.

interview_nr

a numeric vector, interview/individual identifier

store_code

a factor with 32 levels (ALDI1, ALDI3, ..., EDEKA1, ... REWE1, ...), identifying the store code of the mentioned grocery store in the study area, data from Wieland (2011)

store_chain

a factor with 11 levels (Aldi, Edeka, Kaufland, ...) for the store chain of the grocery stores in the study area, data from Wieland (2011)

trip_expen

a numeric vector containing the individual trip expenditures at the last visited grocery store

plz_submarket

a factor with 7 levels (PLZ_37073, PLZ_37075, ...) representing the individuals' place of residence based on the five-digit ZIP codes in the study area

See Also

grocery2

Examples

# NOT RUN {
data(grocery1)
# Loads the data
ijmatrix.create (grocery1, "plz_submarket", "store_code")
# Creates an interaction table with local market shares 
# }