dataCOICOP: A real scanner data set for the product classification
In PriceIndices: Calculating Bilateral and Multilateral Price Indexes
dataCOICOP R Documentation
A real scanner data set for the product classification
Description
A collection of real scanner data on the sale of milk products sold in a period: Dec, 2020 - Feb, 2022.
Usage
dataCOICOP
Format
A data frame with 10 columns and 139600 rows. The used variables are as follows:
time - Dates of transactions (Year-Month-Day)
prices - Prices of sold products [PLN]
quantities - Quantities of sold products
description - Descriptions of sold products (original: in Polish)
codeIN - Retailer product codes
retID - Unique codes identifying outlets/retailer sale points
grammage - Product grammages
unit - Sales units, e.g.: kg, ml, etc.
category - Product categories (in English) corresponding to COICOP 6 levels
coicop6 - Identifiers of local COICOP 6 groups (6 groups)
PriceIndices documentation built on April 4, 2025, 4:11 a.m.
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| dataCOICOP | R Documentation |
A real scanner data set for the product classification
Description
A collection of real scanner data on the sale of milk products sold in a period: Dec, 2020 - Feb, 2022.
Usage
dataCOICOP
Format
A data frame with 10 columns and 139600 rows. The used variables are as follows:
time - Dates of transactions (Year-Month-Day)
prices - Prices of sold products [PLN]
quantities - Quantities of sold products
description - Descriptions of sold products (original: in Polish)
codeIN - Retailer product codes
retID - Unique codes identifying outlets/retailer sale points
grammage - Product grammages
unit - Sales units, e.g.: kg, ml, etc.
category - Product categories (in English) corresponding to COICOP 6 levels
coicop6 - Identifiers of local COICOP 6 groups (6 groups)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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