Scholarly record
AN APPROACH FOR MANAGING AND COMPARING DATA CONCERNING SOME MAIN FOOD PRODUCTS
Abstract
This article presents an approach for managing and comparing data, concerning some main food products in Bulgaria. The source for the search of these product categories (bakery products, milk and milk products, fish and fish products and etc.) is the created relational database. The extracted data for the selected category have been grouped, compared and processed. The obtained results enable the user to present relevant conclusions for the examined time interval. This approach is applied to the data on bread and bakery products. The first of the listed categories contains two product types (white and Dobrudzha bread), while the second consists of four (pasta, bakery, other bakery and pastry-cook products). The change of average prices and purchased quantities per household for each of these six products has been studied for the period 2001-2016. The indicators? increase or decrease pace has been discussed. Some statistical methods have been used for data analysis in this article. The coefficients of correlation and determination have been calculated and discussed, as well as the differences between the largest and lowest value of each mentioned indicator for the relevant products. The present approach could also be used for the study other economic indicators.
Publication Impact Profile
Publication details
References0
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

