dataMATCH: An artificial scanner data set for product matching
In PriceIndices: Calculating Bilateral and Multilateral Price Indexes
dataMATCH R Documentation
An artificial scanner data set for product matching
Description
A collection of scanner data on the sale of sample artificial products.
Usage
dataMATCH
Format
A data frame with 7 columns and 30 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 [liters]
codeIN - Unique internal (retailer) product codes (data set contains 5 different codeINs)
codeOUT - Unique external product codes (data set contains 5 different codeOUTs)
retID - Unique codes identifying outlets/retailer sale points (data set contains 2 different retIDs)
description Descriptions of sold products (data set contains 3 different product descriptions)
PriceIndices documentation built on July 9, 2023, 6:20 p.m.
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| dataMATCH | R Documentation |
An artificial scanner data set for product matching
Description
A collection of scanner data on the sale of sample artificial products.
Usage
dataMATCH
Format
A data frame with 7 columns and 30 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 [liters]
codeIN - Unique internal (retailer) product codes (data set contains 5 different codeINs)
codeOUT - Unique external product codes (data set contains 5 different codeOUTs)
retID - Unique codes identifying outlets/retailer sale points (data set contains 2 different retIDs)
description Descriptions of sold products (data set contains 3 different product descriptions)
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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