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- W3138659653 abstract "The paper analyzes product data collected from the VK social network (N=26295). The study aims to analyze the prices of ordered goods from the VK social network communities of self-employed citizens and then find any exciting observations from the data. The research methods are correlation analysis and K-means cluster analysis. We are interested in finding correlated prices for self-employed goods to use these results in future studies to determine the balance of the market for household goods. As a result of the study, we identified correlations between the following products: 'rabbit carcass' and 'salted cucumbers' ; 'Belper Knolle' and 'chicken roll'; 'breast fillet' and 'chicken eggs'; '... hot smoked' and 'homemade cutlets'; 'pork tenderloin' and 'pork ribs'." @default.
- W3138659653 created "2021-03-29" @default.
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- W3138659653 date "2021-03-01" @default.
- W3138659653 modified "2023-10-18" @default.
- W3138659653 title "Cluster analysis of agricultural household production of self-employed" @default.
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- W3138659653 doi "https://doi.org/10.1088/1755-1315/677/2/022080" @default.
- W3138659653 hasPublicationYear "2021" @default.
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