G4 Report

CHINA HAPPINESS SURVEY

Proposal

Poster

Application

Report

R Packages Used

• For Interactive Application: R Shiny and Shiny Dashboard

Shiny is an R Studio package for developing interactive charts, data visualizations and applications to be hosted on the web using the R programming language. It enables developer to make an interactive application which allow user to understand a certain model or do some data explorations. In this case, we could visualize the underlying rules beyond given datasets which show a clear picture of how those items correlate with each other. Package ‘shiny’Package ‘shinydashboard’

• For Interactive Plot: ggplot2, plotly and gghighlight Package ‘plotly’ Package ‘ggplot2’ Package ‘gghighlight’

• For Choropleth Mapping: tmap, sf and leaflet Package ‘tmap’Package ‘leaflet’

• For HeatMap: heatmaply Package ‘heatmaply’

• For Likert Scale: likert Package ‘likert’

• For Correlation Matrix: corrplot Package ‘corrplot’

• For data preparation: sqldf(for SQL operations in R),dplyr,stringr Package ‘sqldf’ Package ‘dplyr’ Package ‘stringr’

Use Cases

1.Bashboard

2.Exploratory Data Analysis

3.Multivariate Matrix Analysis

4.Likert & Bubble Plot

5.Choropleth Mapping

6.Cluster Analysis

References

• visNetwork, an R package for interactive network visualization
• Association Rules and the Apriori Algorithm: A Tutorial,Annalyn Ng, Ministry of Defence of Singapore
• Association Rule Mining with R,Yanchang Zhao
• Market basket analysis,S. Bushmanov
• Market Basket Analysis Using R and Shiny, Maureen O'Donnell
• Shiny Application layout guide,JJ Allaire
• Zoomable plots in Shiny, RStudio, Inc.
• Introduction to visNetwork,B. Thieurmel - DataStorm
• Interactive arules with arulesViz and visNetwork,timelyportfolio
• Network visualization with R Workshop,Katya Ognyanova
• Selecting rows of data R Shiny
• Write Transactions or Associations to a File
• Event handler R Shiny
• Using Action Buttons R Shiny
• Create an object for storing reactive values R Shiny