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Applying market basket analysis to official statistical data

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Szymkowiak M., Klimanek T., Józefowski T.
Econometrics. Ekonometria. Advances in Applied Data Analytics
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2018
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issue vol. 22 no. 1
38-57
EN
Market basket analysis, which is a method of discovering co-occurrence relationships, is widely used for the purposes of marketing research and e-commerce, mainly by supermarkets and online stores. Moving beyond the traditional notion of a market basket understood as a fixed list of products, the technique can be applied for data mining in other fields of research which do not involve traditional transactions and purchases made by customers. The following article describes theoretical aspects of market basket analysis with an illustrative application based on data from the National Census of Population and Housing 2011 with respect to marital status. This is the first application of market basket analysis to census data to be conducted in Poland, in which attributes of the market basket have been replaced with respondents’ demographic characteristics. This approach makes it possible to identify relationships between legal (de jure) marital status and actual (de facto) marital status, taking into account other basic socio-demographic variables available in large datasets. Using the R software to generate choropleth maps classified by province as a method of visualizing association rules, it was possible to conduct a spatial analysis of the phenomenon of interest.
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Market Basket Analysis as a Support Tool for The Management of Public Transport

100%
Sokołowska D.
Studies in Logic, Grammar and Rhetoric
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2014
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vol. 37
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issue 1
219-237
EN
The aim of this paper is to characterize a non-standard use of the method of market basket analysis in one of the areas of economy, i.e. public transport. Generally, one of the aims of the market basket analysis method is associating the consumer's market basket – in the case of public transport this being the choice of bus stops in the city area made by passengers. Owing to a new, practical use of this method, it was possible to build an efficient model characterizing the movement of flows of public transport passengers, and assess the degree of transferring (changing lines), thus making it possible to adapt the routes of buses to the needs of people using this particular means of transport, as well as to plot new communication lines. The data analysis was performed using the Statistica statistical package and its SAL application, i.e. the algorithms used in Data Mining.
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