G4 Report

CHINA HAPPINESS SURVEY

Proposal

Poster

Application

Report

Project Motivation

Association Rule Mining is Powerful

Room for Improvement of Current Packages

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’

Data Cleaning and Preparation

Datasets

• happiness_train_abbr: lite version of survey dataset
• happiness_train_complete: full version of survey dataset
• happiness_index: index and description of survey dataset

Index and Description - happiness_train_abbr

Data field	Original questionnaire number	Question	Remarks
id	-	ID	-
province	s41	Survey Location - Province/Autonomous Region/Municipality	1 = Shanghai; 2 = Yunnan Province; 3 = Inner Mongolia Autonomous Region; 4 = Beijing; 5 = Jilin Province; 6 = Sichuan Province; 7 = Tianjin; 8 = Ningxia Hui Autonomous Region; 9 = Anhui Province; 10 = Shandong Province ; 11 = Shanxi Province; 12 = Guangdong Province; 13 = Guangxi Zhuang Autonomous Region; 14 = Xinjiang Uygur Autonomous Region; 15 = Jiangsu Province; 16 = Jiangxi Province; 17 = Hebei Province; 18 = Henan Province; 19 = Zhejiang Province; 20 = Hainan Province; 21 = Hubei Province; 22 = Hunan Province; 23 = Gansu Province; 24 = Fujian Province; 25 = Tibet Autonomous Region; 26 = Guizhou Province; 27 = Liaoning Province; 28 = Chongqing City; 29 = Shaanxi Province; 30 = Qinghai Province; 31 = Heilongjiang Province;
gender	a2	Gender	1 = Male; 2 = Female
birth	a301	Birthday	-
health	a15	Do you feel your current physical health	1 = Unhealthy; 2 = Less healthy; 3 = Fair; 4 = healthy; 5 = Very Healthy;
depression	a17	How often you feel depressed or depressed in the past four weeks	1 = Always; 2 = Often; 3 = Sometimes; 4 = Rarely; 5 = Never;
relax	a312	In the past year, do you often do the following in your free time-relax	1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Always;
learn	a313	In the past year, do you often do the following in your free time-study	1 = Never; 2 = Rarely; 3 = Sometimes; 4 = Often; 5 = Always;
equity	a35	Generally speaking, do you think society is unfair today?	1 = Completely unfair; 2 = More unfair; 3 = Not fair but not unfair; 4 = More fair; 5 = Completely fair;
happiness	a36	Overall, do you think your life is happy	1 = Very unhappy; 2 = Relatively unhappy; 3 = Not happy or unhappy; 4 = Relatively happy; 5 = Very happy;
class	a431	At what level do you think you are currently	1 = 1(bottom); 10 = 10(top);
status_peer	b1	What is your socioeconomic status compared to your peers	1 = Higher; 2 = Almost; 3 = Lower;
inc_ability	b5	Considering your ability and working conditions, is your current income reasonable?	1 = Very reasonable; 2 = Reasonable; 3 = Unreasonable; 4 = Very unreasonable;

Use Cases

1.Bashboard

2.Exploratory Data Analysis

3.Multivariate Matrix Analysis

4.Likert & Bubble Plot

5.Choropleth Mapping

6.Cluster Analysis

References

• World Happiness Report 2020
• Shiny Application layout guide,JJ Allaire
• Event handler R Shiny
• Build your first web app dashboard using Shiny and R
• Enterprise-ready dashboards
• ggplot2 Reference and Examples (Part 2) - Colours
• Hands-On Exercise 8: Diverging Stacked Bar Chart, Dr. Kam Tin Seong
• Hands-on Exercise 8: Heatmap Visualisation with R, Dr. Kam Tin Seong
• Hands-On Exercise 8: Visualising Correlation Matrix, Dr. Kam Tin Seong
• Hands-on Exercise 10: Choropleth Mapping with R, Dr. Kam Tin Seong
• Hands-on Exercise 10: Mapping Geospatial Point Data with R, Dr. Kam Tin Seong