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

To build a dashboard that allows for:

• Profiling of neighbourhoods in Singapore by attributes: income, job specification, transportation, housing and qualifications
• Other sub-attributes to provide for analytical context: age, race/religion, expenditure, marital status, political views
• Infographic on First-World Poverty
• General guidelines on the support type for various helpgroups

Objectives

This project aims to provide insights into the following:

1. Income data by geography
2. Socioeconomic status by income
3. Support types categorised by socioeconomic situation
4. Scalable system to incorporate future data

Background Survey of Related Works

to be updated

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
• Google Drive

Datasets

These are the datasets we plan to use:

Dataset	Rationale
Administrative Boundaries, Taiwan	A dataset containing SHP files of the administrative boundaries of taiwan (county, town, village) Used as a reference to digitize IFC branch trade areas
Branch location of IFC, Taiwan	A dataset containing the geographical information of each individual branch. Used as the main target of our project
Point of Interests , Taiwan	A dataset containing each individual Point-Of-Interests in Taiwan (e.g. ATMs, Amusement Parks, Banks) Used as features for analysis with regards to each branch
Outlets Monthly Sales Data	A dataset containing the monthly sales information of each individual branch Used to study the sales data along with the profile of each branch to generate yielding patterns (e.g. top and bottom performer)

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	Proposed Solution	Outcome
Data is already pre-aggregated to display monthly sales	The dataset is given directly to us from IFC, and we are unable to change it. Thus, We shall utilize and do our best with the available data.	NA

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

Feel free to leave comments / suggestions!