A data mining project submitted in the elective study course at university. The entire project was programmed in R programming language. R provides the useful Shiny package to host the project online as a web application.
Considering the situation where an owner of a grocery store wishes to find out a way to "help" customers select and buy more products than usual at each shopping time. By analyzing old invoices, the owner realizes that there are "connections" between the products in the store. For instance, if a customer buys coffee, then that customer is more likely to buy sugar. Thus, the owner places sugar right next to coffee, which increases the chance for sugar to be bought.
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Data set
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General graphical user interface
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Upload and display invoices on the web
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Association rules between products are analyzed and generated
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Plotting diagrams based on association rules
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Purchase hour diagram
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Parallel coordinates diagram
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Before using, please download the data set to later upload it on the web app. Download here.
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To use the web app, click me.
The report of this project can be referenced here.
- Hoang Thai Duong
- Tran Minh Hoang