Open AccessCluster analysis of agricultural household production of self-employed
Author(s) -
Andrei Plotnikov
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/677/2/022080
Subject(s) - production (economics) , cluster (spacecraft) , business , agriculture , agricultural science , product (mathematics) , commerce , agricultural economics , economics , biology , computer science , mathematics , microeconomics , ecology , programming language , geometry
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’.