Sunny Singapore

PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER

Introduction

Singapore is a leading economy in its region, but an astonishing number of its citizens fall below the first-world poverty line.

First-world poverty is a new concept to many, as it represents a group of citizens who are earning less than sufficient to cover the cost of living of their country of residence. For the fifth consecutive year, Singapore has held to its number one position as the most expensive city to live in. Although welfare is extensive in Singapore, it is definitely not exhaustive. Thus, this has become our main source of motivation for this project.

We seek to develop a tool that is easy use, analyse and to act on because we strongly believe that helping our communities should not be limited to the efforts of the government. We aim to design a platform where users can recognise the less-privileged areas and understand intuitively the type of support required. As such, any citizen, committees or even organisations can utilise this resource to lend a helping hand immediately and effectively.

Problem and Motivation

In this project, we are creating a visualisation dashboard that is able to discover different aspects of Singapore:

• Economic situation and demographic of different planning areas
• The income inequality and wealth distribution
• The life standard of Singapore residents through:
  • Highest qualification achieved
  • Marital status
  • Choice of transportation
  • Accommodation situation

Objectives

In this project, we are creating a visualisation dashboard that is able to discover different aspects of Singapore:

• Economic situation and demographic of different planning areas
• The income inequality and wealth distribution
• The life standard of Singapore residents through:
  • Highest qualification achieved
  • Marital status
  • Choice of transportation
  • Accommodation situation

Background Survey of Related Works

There are multiple visualizations around the world with the goal to uncover the poverty situation in different countries. Although there are not a lot of visualizations about the situation in Singapore, we were able to found a few visualizations about the US to draw inspiration from:

Reference of Other Visualizations	What we can learn from
Title: 2018 Median Household Income in the United State	Example
Example	Example
Example	Example

Proposed Storyboard

#1: Home Page

To provide background story, define Singapore's first-world poverty and navigation to other pages

#2: Geographical overview

Income by geography - highlight the areas that are below Singapore's poverty line

#3: Socioeconomic Overview

Compare the areas where this group of people have fallen behind the average

#4: Support type

Proposed support suggestions for these groups of people

Tools and Libraries

• Microsoft Excel
• R Studio
• Tableau
• Tableau Prep
• Google Drive

Datasets

These are the datasets we plan to use:

Dataset	Rationale
Planing Areas of Singapore	A dataset containing SHP files of the administrative boundaries of Singapore Used as a reference to digitize Singapore planning areas https://data.gov.sg/dataset/master-plan-2014-planning-area-boundary-no-sea?resource_id=c8185fd3-3c78-48c8-94bc-a957699b4e92
Population distribution in Singapore by age, sex and planning areas	A dataset containing the total number of citizen by age and sex at each planning area in Singapore Used to visualize the demographic at each planning area https://data.gov.sg/dataset/singapore-residents-by-planning-area-subzone-age-group-and-sex
Resident households in Singapore by household size and planning areas	A dataset containing the total number of households in each planning area by household size Used to visualize the population demographic and living standard in Singapore https://data.gov.sg/dataset/resident-households-by-planning-area-and-household-size-2015
Resident households in Singapore by household income and planning areas	A dataset containing the total number of households in each planning area by household income range Used to visualize the population demographic and living standard in Singapore https://data.gov.sg/dataset/resident-households-by-planning-area-and-monthly-household-income-from-work-2015
Population in Singapore by sex, economy status and planning areas	A dataset containing the total number of people by economic status and sex at each planning area Used to visualize the population demographic and living standard in Singapore https://data.gov.sg/dataset/resident-population-aged-15-years-and-over-by-planning-area-economic-status-and-sex-2015
Population in Singapore by sex, marital status and planning areas	A dataset containing the total number of people by marital status and sex at each planning area Used to visualize the population demographic and living standard in Singapore https://data.gov.sg/dataset/resident-population-aged-15-years-and-over-by-planning-area-marital-status-and-sex-2015
Working residents in Singapore by industry and planning areas	A dataset containing the total number of people working in each industry at each each planning area Used to visualize the population demographic https://data.gov.sg/dataset/resident-working-persons-aged-15-years-and-over-by-planning-area-and-industry-2015

Foreseen Technical Challenges

We encountered the following technical challenges throughout the course of the project. We have indicated our proposed solutions, and the outcomes of the solutions.

Key Technical Challenges	Reason	Proposed Solution
Data is limited	We will be retrieving our datasets from singstat.gov.sg and data.gov.sg. These two platforms provide an exhaustive list but only have data for the recent decades.	NA
Technical difficulties	Unfamiliar with tools that are required to for data visualisation.	Complete the Datacamp course to learn more about R and R Shiny

Data Analysis and Transformation

Proposed Visualizations and Storyboard

Project Timeline

Week 8: Complete detailed project proposal and gather datasets supervised by Alexia
Week 9: Clean datasets supervised by Pham
Week 10: Create data visualisation & consult on quality of work supervised by Parth
Week 11: Finalise storyboard teamwork with help of professor!
Week 12: Get ready for deadlines whoop!

References

• Tableau: https://www.tableau.com/learn/training
• R Shiny: https://shiny.rstudio.com/tutorial/

Comments

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