Difference between revisions of "Group15 application&user-guide"

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==Our Application==
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[https://xinrubaobao.shinyapps.io/Covid19/ VRshiny Application: You are welcomed to click the link here to try out our application VRshiny yourself. Have fun!]
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<table>
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<table border='1'>
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<tr>
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<th>Design Concepts</th>
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<th>Dashboard</th>
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<td><b>1.Load data dashboard</b>
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This dashboard allows the user to load their data for using our app
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<br>
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It has to be highlighted that only categorical variables are accepted by arules package for doing association rule mining. We thus provided a functionality to transform the numeric variables and binary numeric variables to categorical variables first at the data importing stage.
  
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The screen displays the original data uploaded and the transformed data (if it contains numeric variables)
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The transformation process will be discussed in the next section on the detailed application designs.
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</td>
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<td>[[File:VRshiny_report_grp8_files_image013.png|700px|center]]</td>
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</tr>
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<tr>
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<td> <b>2.Dashboard for generic market basket analysis</b>
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This dashboard is designed for the generic MBA analysis, where we allow the users to have an overview of the individual rules before they choose one particular area to investigate.
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<br>
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The zoom-in scatter plot, the network visualization and the data table will be filtered based on the selected box in the first overview scatterplot.
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</td>
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<td>[[File:VRshiny_report_grp8_files_image015.png|700px|center]]</td>
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Revision as of 22:13, 26 April 2020

Group15 banner.png



Proposal

Poster

Application

Research Paper

Back to Main


Our Application

VRshiny Application: You are welcomed to click the link here to try out our application VRshiny yourself. Have fun!

Design Concepts Dashboard
1.Load data dashboard

This dashboard allows the user to load their data for using our app
It has to be highlighted that only categorical variables are accepted by arules package for doing association rule mining. We thus provided a functionality to transform the numeric variables and binary numeric variables to categorical variables first at the data importing stage.


The screen displays the original data uploaded and the transformed data (if it contains numeric variables)


The transformation process will be discussed in the next section on the detailed application designs.

2.Dashboard for generic market basket analysis

This dashboard is designed for the generic MBA analysis, where we allow the users to have an overview of the individual rules before they choose one particular area to investigate.


The zoom-in scatter plot, the network visualization and the data table will be filtered based on the selected box in the first overview scatterplot.