Difference between revisions of "Project Groups"

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<center><br/>[[John Bau|John Bau]]
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<center>[[Group01_proposal|Precision Policy And Planning]] </center>
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[[File:Precision_Policy_And_Planning_logo.png|center|250px]]
[[File:John Bau 300.gif|frameless|center]]
 
<br/>
 
</center><br/>
 
 
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''' Korea Suicide Analysis '''
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'''Enhancing the exploration of resident distribution and social demographic across planning area with Visual Analytics'''
  
South Korea is one of the fast-growing countries yet has the highest suicide rate in the world. According to OECD Statistics, 25.6 people commit suicide per 100,000 people (OECD, 2018). In other words, 36 people per day, 13,092 people per year; much higher than the OECD average of 11.6.
+
With Singapore’s growing population and limited resources, she has to oversee several developing social trends to enjoy consistent prosperity and harmony. These social trends encompass growing income inequality, low birth rates and equal opportunities for education across planning areas. As such, insights on educational qualification, resident distribution, and demographics are key in ensuring better awareness of these dangerous trends and will help educate and inspire both the public and policy makers to build a holistic Singapore together.
 
+
<br>
Hence, our group would like to analyze multiple data sets to discover the cause, reason, gender, status and age of different suicide rate and understand the underlying social issue of South Korea.
+
<br>
 
+
Given the government’s effort of making [https://www.smartnation.sg/resources/open-data socially relevant data public], we were inspired to use this data to build a visual analytics application to enhance the exploration of resident distribution and social demographic across planning area. This visual analytics platform will largely be based on Population Census data and uses several time series and map-based charts to manifest the different population trends. By using charts such as  choropleth map, ternary plot, and dotted line chart, we will enable the user to interactively explore large amounts of data in a much more interpretative manner. This will help them identify key trends to get new ideas for policies and residential planning.  
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* [[John Bau|Proposal]]
 
* [[John Bau: Poster|Poster]]
 
* [https://wiki.smu.edu.sg/1920t1is428g1/John_Bau%3A_Application Application]
 
* [https://wiki.smu.edu.sg/1920t1is428g1/John_Bau%3A_Research_Paper Research Paper]
 
||
 
* Yicheng He
 
* Sunho Lee
 
* Ronald Lay
 
|-
 
 
 
||
 
<center><br/>[[DreamWorks: Proposal|DreamWorks]]
 
<br/>
 
[[File:Dreamworks.png|300px|frameless|center]]
 
<br/>
 
</center><br/>
 
||
 
Singapore Real Estate Index 2019
 
 
 
The Housing Development Board (HDB) is the primary source of information for all things related to housing estates in Singapore. However, the team identifies that there is a lack of context in the understanding of how the Singapore population influences the price of resale and rental in Singapore. Hence, the team would like to identify trends that would highlight the fluctuations in price and present a visual representation of the relevant data that is publicly available.
 
  
 
||
 
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* [[DreamWorks: Proposal|Proposal]]
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* [[Group01_proposal|Proposal]]
* [[DreamWorks: Poster|Poster]]
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* [[Group01_poster|Poster]]
* [[DreamWorks: Application|Application]]
+
* [[Group01_application|Application]]
* [[DreamWorks: Research Paper|Research Paper]]
+
* [[Group01_research_paper| Research Paper]]
 
||
 
||
* Chan Huang Suan
+
* Ng Jun Hong
* Wong Kuan Wai Gordon
+
* Choy Yu Min Justin
* Yuen Chui Shan Jessica
+
* Jiang Xi
 
|-
 
|-
  
 +
|| <center>[[Group02_team|Rain & Shine]]</center>
 +
[[File:Rain & Shine(new).png|300px|frameless|center]]
 
||
 
||
<center><br/>[[HappinessWatch: Proposal v3|HappinessWatch]]
+
'''Identify in-depth insights and trends of the Climate in Singapore with Interactive Visualisations'''
<br/>
 
[[File:Team_3_-_HappinessWatch_Logo.png|300px|frameless|center]]
 
<br/>
 
</center><br/>
 
||
 
'''Visualising Global Happiness and its Contributing Factors'''
 
 
 
Traditionally, a country’s well-being has been measured on economic variables like GDP or unemployment rate. However, no institution, nation or group of people can really be properly understood without also factoring in a number of other elements. One of these key elements is happiness. What contributes to a country’s happiness? Why are some countries happier than others? Are there any trends or patterns we can discern from the available data? With reference to the World Happiness Report, we attempt to visualize the factors that contribute to a country’s happiness on a global scale.
 
  
 +
The current reporting of Singapore's Climate has always been primitive and thus it is challenging to derive in-depth insights for viewers. In 2019, multiple news companies reported that Singapore is heating up twice as fast as the rest of the world. When combined with the island’s constant high humidity, it could be life-threatening. Professor Matthias Roth of the department of geography at the National University of Singapore (NUS) attributed the rising temperatures to global warming and the Urban Heat Island (UHI) effect. However, there was no data given to back up their claims on the changes in Singapore's weather.
 +
<br>
 +
<br>
 +
Our team aims to present Singapore's climate data in more user-friendly and meaningful interpretation ways. Through Rain&Shine, an interactive and user-friendly visualization dashboard that shows the distribution of the climate by Subzone, Region, and Overall, we hope to provide Singaporeans with knowledge and in-depth insights to Singapore's Climate. Additionally, we want to identify the trends inherent within the weather data available and answer questions regarding the changes in Singapore's weather from available historical data.
 
||
 
||
* [[HappinessWatch: Proposal v3|Proposal]]
+
* [[Group02_proposal_v2|Proposal]]
* [[HappinessWatch: Poster|Poster]]
+
* [[Group02_poster|Poster]]
* [[HappinessWatch: Application|Application]]
+
* [[Group02_application|Application]]
* [[HappinessWatch: Research Paper|Research Paper]]
+
* [[Group02_research_paper| Research Paper]]
 
||
 
||
* Goh Jia Xian
+
* Chua Ming Yu
* Lim Pei Xuan
+
* Guo Lingxing
* Li Xiaohang
+
* Tanny Lai
 
|-
 
|-
  
 +
||<center>[[Group03_proposal|DevBuzz]] </center>
 +
[[File:devbuzz.jpg|center|300px]]
 
||
 
||
<center><br/>[[IS428 AY2019-20 T1 EC Inspector: Proposal V2|EC Inspector]]
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'''Visualizations of Stack Overflow Developers' Survey'''
<br/>
 
[[File:IS428 AY2019-20 T1 Group4 logo.jpg|400px|frameless|center]]
 
<br/>
 
</center><br/>
 
||
 
'''EC Inspector'''
 
 
 
Executive Condominium (EC) is a special type of public housing in Singapore, which is similar to private condominiums in terms of facilities and amenities. Introduced in Q2 1996,  it was meant to cater to the  needs of the middle income home buyers; especially young graduates and professionals who can  afford more than a HDB flat but find private property to be out of their reach. For direct purchases from a developer, there is a minimum occupancy period of five years, only after which the EC can be resold or rented for whole. <br>
 
In this project, we hope to find out the real value and status change of EC in Singapore since 1996 considering economic factors such as inflation rate through our visualization.
 
  
 +
Stack Overflow is arguably the biggest online community for developers all around the world. Each year, Stack Overflow field a survey with questions ranging from developers’ favorite technologies to their job preferences. This is done to allow Stack Overflow to better understand its active users. For 2019, nearly 90,000 developers participated in this 20-minute survey. Although the official Stack Overflow website provides a series of visualizations for all the results of their survey questions, we found that there is a lack of comprehensive and interactive visualizations. After much deliberation, our team has narrowed down to three main aspects that we think are the most interesting and useful to the general users: Technology, Salary, and Job.
 +
<br>
 +
<br>
 +
Our team aims to build user-friendly dashboards that highlight the most interesting aspects of the active developers in Stack Overflow. This will allow any interested users to get a quick overview of the essential results of this annual survey without the need to tediously scroll through a long list of static visualizations. Additionally, through various useful interactive filters, users can customize their explorations and gain more meaningful insights that suit their needs.
 +
<br>
 +
<br>
 +
In order to help us expedite the building of these interactive visualizations, our team has decided to use R which gives us access to a wide variety of libraries and tools for data preprocessing and building user-friendly dashboards.
 
||
 
||
* [[IS428 AY2019-20 T1 EC Inspector: Proposal V2|Proposal]]
+
* [[Group03_proposal|Proposal]]
* [[IS428 AY2019-20 T1 EC Inspector: Poster|Poster]]
+
* [[Group_3_Poster|Poster]]
* [[IS428 AY2019-20 T1 EC Inspector: Application|Application]]
+
* [[Group_3_Application|Application]]
* [[IS428 AY2019-20 T1 EC Inspector: Research Paper|Research Paper]]
+
* [[Group_3_Research_Paper| Research Paper]]
 
||
 
||
* Abhyuday Samadder
+
* Ang Wei Xuan Dion
* Ng Kai Ling Bernice
+
* David Chow Jing Shan
* Wei Ming
+
* Peh Anqi
 
|-
 
|-
 
||
 
<center><br/>[[Crime Scream-Proposal|Crime Scream]]
 
<br/>
 
  
  
[[File:Picture2.png|300px|frameless|center]]
+
||<center>[[Group04_proposal|Anti-Suicide Squad]]</center>
<br/>
+
[[File:AntiSuicideSquad.jpg|center|300px]]
</center><br/>
 
 
||
 
||
'''Crime Scream'''
+
'''Visualize the underlying patterns behind suicide'''
 
 
There has been a lack of platform to visualize the local area security in respect to the police forces and location of crime over time. Currently, with the police budgets being cut and number of officers decreasing, it is crucial to show the areas with lack of security and an attempt to lower crime rates in these crime hotspots in London.
 
  
This includes letting citizens and the police force to know which areas are more prone to crimes happening, let citizens be aware of the type of crimes that are happening in which areas of singapore such as the neighbourhoods and allow the Police department to analyze the security and increase security such as increasing patrol/security in that area.
+
Close to 800 000 people die due to suicide every year, which comes up to one every 40 seconds according to the World Health Organisation (WHO). Suicide is a global phenomenon, present in many countries and is pervasive to people from all walks of life. In the last 45 years, suicide rates have increased by 60% worldwide and is now the second leading cause of death among young people after road injury.
  
  
 +
Every life is precious. The numbers in the dataset was once a person who took their own lives, and had a ripple effect affecting their loved ones, family and friends. Our group would like to analyse factors such as gender, age, generation and GDP per capita to better understand the demographic of those who are likely to commit suicides, so that organisations such as Samaritans of Singapore or even schools and companies can identify those that are of higher risk and take measures to mitigate the likelihood of suicides for those people.
 
||
 
||
* [[Crime Scream-Proposal|Proposal]]
+
* [[Group04_proposal|Proposal]]
* [[Crime Scream-Poster|Poster]]
+
* [[Group04_poster|Poster]]
* [[Crime Scream-Application|Application]]
+
* [[Group04_application|Application]]
* [[Crime Scream-Research Paper|Research Paper]]
+
* [[Group04_research_paper| Research Paper]]
 
||
 
||
* Ngoh Yi Long
+
* Sherry Tao Shi Hua
* Jazreel Tho
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* Tian Mingze
* Ng Jue Hong
 
 
|-
 
|-
  
  
 +
||<center>[[Group05_proposal|No Game No Life]]</center>
 +
[[File:Nogamenolife.png|center|300px]]
 
||
 
||
<center><br/>[[Two Eyes One Pizza|Two Eyes One Pizza]]
+
'''Visualizing the trends and pattern of video game sales'''
<br/>
 
[[File:2e1p2.png|300px|frameless|center]]
 
<br/>
 
</center><br/>
 
||
 
'''Visualization of IFC Trade Area and Performance'''
 
 
 
International Food Chain (IFC) is a leading brand in its sector, with over 18000 outlets worldwide and an ever-growing presence in the global market. In Taiwan alone, IFC has over 240 branches and are constantly expanding.
 
 
 
However, as the franchise grows bigger, so does its challenges. One of the challenges involves the lack of a tool to efficiently compare the performance of each chain to one another.
 
 
 
Leveraging on this fact, our group aims to build a dashboard for IFC that allows for visualization and modelling. We hope to track the performance of each chain in relation to Point-Of-Interests surrounding each chain, uncovering and comprehending phenomena, with the aid of spatial data.
 
 
 
  
 +
The video game industry has grown massively over the years, with $2.3 billion in sales in the US alone in 2019. However, the industry has also shown signs of stagnation, with a 19% decline in sales from the previous year. With an increasingly saturated market and disruption caused by mobile and VR games, we aim to create an interactive platform to understand the trends of the industry and come up with insights to aid future and existing developers.
 
||
 
||
* [[Two Eyes One Pizza|Proposal]]
+
* [[Group05_proposal|Proposal]]
* [[Two_Eyes_One_Pizza_Poster|Poster]]
+
* [[Group05_poster|Poster]]
* [[Two_Eyes_One_Pizza_Application|Application]]
+
* [[Group05_application|Application]]
* [[Two_Eyes_One_Pizza_Research_Paper|Research Paper]]
+
* [[Group05_research_paper| Research Paper]]
 
||
 
||
* Linus Cheng Xin Wei
+
* Darren Sim
* Kelvin Chia Sen Wei
+
* Neo Tee Yong
* Wang Xuze
+
* Alyssa Rinelli
 
|-
 
|-
 
 
||
 
||
<center><br/>[[Macao Travels|Macao Travels]]
+
<center>[[Group06 proposal|Growth Signal]] </center>
<br/>
+
[[File:Growth Signal Logo.jpg|center|300px]]
[[File:VA Project Logo1.png|300px|frameless|center]]
 
<br/>
 
</center><br/>
 
 
||
 
||
'''Visualising Macao's Tourism Industry'''
+
'''Visualizing Singapore's Higher Education Landscape'''
  
Macao’s tourism industry has always been one of the most important industries driving economic progress, with visitor arrivals in Macao reporting around 32 million visitors in 2017. Another key aspect of tourism in Macao is its gaming industry. The most densely populated region in the world heavily relies on the popularity of being a gambling destination. 40% of Macao’s GDP comes from the gaming industry and more than 70% of tax revenues are collected from casinos.  
+
Singapore’s education system has always been regarded as one of the most successful in the word and Education have been a key area of focus of development by the government to produce new talents and act as a source of revenue by attracting international students. Information such as the Graduate Employment Survey, Enrolment of students, government expenditure and the Global Competitiveness Index (GCI) rankings report on Singapore's education system are located either on various institutions’ website, government generated reports or on data sites. Hence, the general reader is unable to get the full information on higher learning institutions in Singapore.
Despite the rapid growth, the Macao SAR Government has the vision to build it into a World Centre of Tourism and Leisure in the next 15 years. Hence, one of the key questions while analyzing Macao’s tourism statistics would be how the Government of Macao could uncover and utilise trends and patterns to further boost their economy by optimising marketing campaigns and imports.
+
<br>
 +
<br>
 +
How successful is Singapore’s graduates in securing employment and high income? What are the most popular and successful courses across different demographic and how has they changed over the years?
 +
<br>
 +
<br>
 +
As such, our team planned to build a dashboard to act as a centralised platform to portray Singapore’s Higher Education Landscape, particularly those of Polytechnics and Universities in terms of its performance, enrolment, government spending and graduates’ prospects to help students gain insights to better plan their education path.
  
 
||
 
||
* [[Macao Travels-Proposal|Proposal]]
+
* [[Group06_proposal|Proposal]]
* [[Macao Travels-Poster|Poster]]
+
* [[Group06_poster|Poster]]
* [[Macao Travels-Application|Application]]
+
* [[Group06_application|Application]]
* [[Macao Travels-Research Paper|Research Paper]]
+
* [[Group06_research_paper| Research Paper]]
 
||
 
||
* Chew Hui Ling
+
* Daniel Soh
* Damian Er
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* Lim Si Ling
* Jenny Lee
+
* Kang Hui Yun
 
|-
 
|-
 
 
||
 
||
<center><br/>[[IS428-AY2019-20T1_Climate_Vizards:_Team|Climate Vizards]]
+
<center>[[Group07 proposal|WE ARE TEAM HIVA]] </center>
<br/>
+
[[File:team_mers_logo.png|center|250px]]
[[File:Group1logo.jpg|300px|frameless|center]]
 
<br/>
 
</center><br/>
 
 
||
 
||
'''Visualisation of Singapore's climate'''
+
'''Visualization and insights of HIV in the United States'''
 
+
Singapore's weather and climate service provider, Meteorological Service Singapore, is a division under National Environmental Agency which provides reliable climate information based on the data that they collect. The firm also works on researching and predicting accurate weather forecasts in Singapore. Their website currently has numerous visualisations that make use of historical temperature and rain data but some of these visualisations can be further improved so as to increase the ease and deepen the understanding for any users.  
+
HIV/AIDS, a chronic manageable disease, is a global pandemic that has created unprecedented challenges for physicians and health infrastructures. There is no cure for HIV yet. However, treatment can control HIV and enable people to live a long healthy life.<br>
 +
<br>
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Our project aims to provide visualizations for the public to better understand the extent of the problem. We also aim to show the importance of treatment by analysing links between seeking treatment and death rate.
  
 
||
 
||
* [[IS428-AY2019-20T1_Climate_Vizards:_Proposal|Proposal]]
+
* [[Group07_proposal|Proposal]]
* [[IS428-AY2019-20T1_Climate_Vizards:_Poster|Poster]]
+
* [[Group07_poster|Poster]]
* [[IS428-AY2019-20T1_Climate_Vizards:_Application|Application]]
+
* [[Group07_application|Application]]
* [[IS428-AY2019-20T1_Climate_Vizards:_Research_Paper|Research Paper]]
+
* [[Group07_research_paper| Research Paper]]
 
||
 
||
* Sin Myeong Eun
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* Nicholas Tan Jun Hao
* Wendy Ng Sock Ling
+
* Ong Li Ting
* Harvey Kristianto Lauw
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* Yip Jian Ming
 
|-
 
|-
 
+
|| <center> [[Group08 proposal|Wolf of HDB Street]] </center>
 +
<br> [[File:WOHS.png|300px|frameless|center]] <br>
 
||
 
||
<center><br/>[[IS428-AY2019-20T1_Group09-Proposal|KAWAII]]
+
'''Visualization: Singapore HDB Resale Flat Trend Analysis using Price and Volume '''
<br/>
 
[[File:G9TeamLogo.png|150px|frameless|center]]
 
<br/>
 
</center><br/>
 
||
 
'''Visualising Crimes Against Women in India'''
 
 
 
According to the Thomson Reuters Foundation Annual Poll, India is ranked as the world’s most dangerous country for women. This is not surprising, as India has had a long-standing history of violence against women, which is deeply rooted in certain cultural practices such as female infanticide and acid attacks.
 
 
 
Even with the increasing public outcry regarding such discrimination and the enactment of laws protecting women, the number of crimes committed against women is increasing steadily over the years. 
 
 
 
Hence, our project aims to look into the trends of crimes against women in India at various geographic levels, and analyse the effects of various socioeconomic factors on the rate of crime against women to gain a better understanding of this issue.
 
  
 +
As a buyer looking for Resale HDB flats, it can be difficult to make a purchase decision due to the lack of information in the market. Information such as increasing or decreasing price trends over the years for each estate (e.g. Tampines) or submarket (e.g. 4-ROOM flats) could be essential in the decision making process. Current tools available in the market are insufficient to supplement this decision making process as they can be unnecessarily detailed resulting in the inability to conduct a high level analysis (e.g. Price trends for each submarket and/or estate). <br>
 +
<br>
 +
Our project aims to provide a one-stop visualization tool that allows Resale flat buyers the flexibility to switch between high level and funneled down views so as to make better purchase decisions. The high level views include box plots showing price distributions across flat types which can then be funneled down into a histogram showing the volume distribution by size of flat filtered by flat type. The high level views also include line charts showing resale price and volume transacted trends across the years for each selected estate. The view of the line chart could be changed to focus on the trends by quarter of the year instead. We also have a dashboard which uses a tree map to display the resale price and transacted volume patterns for the range of storeys a flat is situated in (e.g. Are lower storeys in a building transacted more than the higher storeys?)   
 
||
 
||
* [[IS428-AY2019-20T1_Group09-Proposal|Proposal]]
+
* [[Group08_proposal|Proposal]]
* [[IS428-AY2019-20T1_Group09-Poster|Poster]]
+
* [[Group08_poster|Poster]]
* [[IS428-AY2019-20T1_Group09-Application|Application]]
+
* [[Group08_application|Application]]
* [[IS428-AY2019-20T1_Group09-Research Paper|Research Paper]]
+
* [[Group08_research_paper| Research Paper]]
 
||
 
||
* Lee Cheng Leng
+
* Aaron Sim Huei Min
* Lim Zi Yuan
+
* Arino Ang Jia Ler
* Sean Chai Shong Hee
+
* Shivika Khemka
 
|-
 
|-
 
+
|| <center> [[Group09 proposal|Purple Haze]] </center>
||
+
[[File:Purple haze.jpg|300px|frameless|center]]
<center><br/>[[Task Force 428|Task Force 428]]
 
[[File:Task force 428.png|280px|frameless|center]]
 
<br/>
 
</center><br/>
 
 
||
 
||
'''Visualising Global Terrororism Acts'''
+
'''GDP per Capita vs Air Quality: Does Economic Development Necessitate Pollution?'''
 
+
<br>
Threats of terrorism are still relevant in today's context as many countries are still taking steps in alleviating the threat of terrorism. However, we believe that more actions can be done by analysing past terrorist activities in order to gain insights to place actions quickly in responding to the worst case scenario. Hence, we are interested to find out and understand more information about terrorism patterns (eg: frequency, rate, spread) and how development status (i.e. GNI per capita) has a correlation with terrorism occurred in those particular countries.
+
We aim to show the relationship between GDP per Capita and air quality through our application. Does a higher GDP per Capita mean more pollution? Does an increase in GDP per Capita come with more air pollution? We aim to show this data across countries using visualisations like maps and scatterplots in our application, along with time series data showing the extensive history of air quality and economic data across the world.
 
 
 
||
 
||
* [[Task Force 428: Proposal|Proposal]]
+
* [[Group09_proposal|Proposal]]
* [[Task Force 428: Poster|Poster]]
+
* [[Group09_poster|Poster]]
* [[Task Force 428: Application|Application]]
+
* [https://jodianlord.shinyapps.io/aqi_app/ Application]
* [[Task Force 428: Research Paper|Research Paper]]
+
* [[Group09_user_guide|User Guide]]
 +
* [[Group09_research_paper| Research Paper]]
 
||
 
||
* Benedict Then
+
* Jordy Nelson Samuel
* Kok Jim Meng
+
* Parbat Shreyas
* Victor Lin
+
* Gabriel Chuan Zhan Hong
 
|-
 
|-
 
+
||<center>[[Group10_proposal|Impex]]<center>
 +
[[File:Impex Logo.jpg|200px|center]]
 
||
 
||
<center><br/>[[HomeIntel|HomeIntel]]
+
'''Visualizing the Imports and Exports of Singapore's Foreign Trading'''
<br/>
 
[[File:Logo home.png|300px|center|frameless]]
 
<br/>
 
</center><br/>
 
||
 
'''Visualising HDB Price '''
 
  
Did you know that 82% of Singaporeans actually lives in HDB flats? Everyone wants to own their dream house! Our group members are all currently at the age where friends talk about housing prices in the hope of securing their dream house soon. For young adults who are looking to start their own family, it is always a huge financial commitment to buy a new house. Hence, this make resale houses a considerable worthwhile choice to look towards.
+
Singapore has long been the key transport hub in the ASEAN region. However, global developments such as the trade war between the US and China, and events closer to home such as Thailand building the Kra canal may shift the balance out of Singapore’s favour.
<br><br>
 
Many people are always worried about not getting the best price for their dream house and there are just too much information all over the internet which take hours to read up on. To make it easier for resale flat buyers, our team aims to come out with visualization that best represent the current resale flat industry, allowing people to understand the market better. We hope that through these visualizations, potential HDB resale flat buyers are able to better analyse and compare the costs of owning a flat across different towns, prioritize what is important to them before deciding on their dream home.  
 
  
 +
It is key to correctly strategise in such uncertain times. We aim to be able to create new insight and actionable strategy as to how Singapore can maintain its position as a key transport hub.
  
 
||
 
||
* [[HomeIntel|Proposal]]
+
* [[Group10_proposal|Proposal]]
* [[HomeIntel_Poster|Poster]]
+
* [[Impex_ProjectPoster|Poster]]
* [[HomeIntel_Application|Application]]
+
* [[Impex_ProjectApplication|Application]]
* [[HomeIntel_Research Paper|Research Paper]]
+
* [[Impex_ResearchPaper| Research Paper]]
 
||
 
||
* Chua Xuan Ni Rachel
+
* Cerulean
* Nurul Khairina Binte Abdul Kadir
+
* Melanie Tan
* Ong Qian Ling
+
* Ryan Wong
 
|-
 
|-
 
 
||
 
||
<center><br/>[[IS428-AY2019-20T1_HDBViz-Proposal|HDBViz]]
+
<center>[[Group11_proposal|WeHouse]] </center>
<br/>
+
[[File:WeHouse Logo.png|200px|frameless|center]]
[[File:hdbviz-final.png|300px|frameless|center]]
 
<br/>
 
</center><br/>
 
 
||
 
||
'''HDBViz'''
+
'''(DR.HDB) - Dissecting the Resale HDB'''
 
 
Our team has identified a lack of information on the HDB for homebuyers who wants to understand and make analysis on which HDB to buy. With the increasing demand for housing, there is a need for homeowners to have a better understanding over the flats they are purchasing. Hence, there is a need to analyze the resale prices and transaction volume of the flats.
 
 
 
||
 
* [[IS428-AY2019-20T1_HDBViz-Proposal|Proposal]]
 
* [[IS428-AY2019-20T1_HDBViz-Poster|Poster]]
 
* [[IS428-AY2019-20T1_HDBViz-Application|Application]]
 
* [[IS428-AY2019-20T1_HDBViz-Research Paper|Research Paper]]
 
||
 
* Lee Hui Xin Anne
 
* Teng Jing Wen
 
* Tan Sok Yi
 
|-
 
  
 +
In the past, Singaporeans would turn to the primary source giver of Resale housing information known as The Housing Development Board (HDB) to understand the changes surrounding real estate. With the advent of Singstat and other public domain data sources, there are various online visualisations that Singaporeans seek guidance from, to understand the Housing situation in Singapore.
 +
</br>
 +
</br>
 +
To meet analytical needs of HDB buyers or sellers, our team has contributed the DR.HDB tool which identifies numerous dashboards that provide an overview of resale markets in Singapore At times, such displays can be confusing for users to understand. In this project, we would like to demonstrate the potential of DR.HDB by breaking down resale and unit prices to allow users to understand the costs across various granularity from planning regions, towns to floor level. Through the use of treemaps, time-series charts and correlation boxplots dynamically linked to interactive maps, the user would have an interactive overview of the general resale price level and volume across the years.
 
||
 
||
<center><br/>[[IS428-AY2019-20T1_Sunny Singapore|Sunny Singapore]]
+
* [[Group11_proposal|Proposal]]
<br/>
+
* [[Group11_poster|Poster]]
[[File:Sunny Singapore logo.png|300px|frameless|center]]
+
* [[Group11_application|Application]]
<br/>
+
* [[Group11_research_paper| Research Paper]]
</center><br/>
 
 
||
 
||
'''What does the Jewel of Southeast Asia actually look like? '''
+
* Koh Teck Yun
 
+
* Lu ZhiMao
When Crazy Rich Asians topped the global box-office, it was a cultural moment that put Singapore on the map as a destination for lavish lifestyles and towering skyscrapers. With these ostentatious displays of wealth littered all over Singapore, even we forget sometimes that this image of prosperity is much further from the truth for many citizens.
+
* Rachel Lim Pao Ling
 
 
Through our project, we seek to shed a different light on Singapore by uncovering various echelons of society through our Sunny Singapore story.
 
 
 
||
 
* [[Sunny Singapore|Proposal]]
 
* [[Sunny Singapore|Poster]]
 
* [[Sunny Singapore|Application]]
 
* [[Sunny Singapore|Research Paper]]
 
||
 
* Pham Anh Kim Chau
 
* Hsu En Yang
 
* Parth Goda Rajesh
 
|-
 
 
 
||
 
<center><br/>[[Cakrawala|Cakrawala]]
 
<br/>
 
[[File:Cakrawala_logo.png|300px|frameless|center]]
 
<br/>
 
</center><br/>
 
||
 
'''Visualizing Indonesia's Trade'''
 
 
 
The Ministry of Trade (Kementrian Perdagangan Republik Indonesia) and Central Agency of Statistics (Badan Pusat Statistik) of Indonesia has been providing comprehensive Indonesia’s trading data. However, the information is mostly displayed in a table format. Hence, it is challenging to derive analysis and insights.
 
Our team aim to address the lack of a comprehensive visualization platform to show the impact of export and import on Indonesia's trade of balance. Furthermore, through this platform, users can essentially identify areas of deficit and improvement on the available data that Indonesia can work on.
 
 
 
||
 
* [[Cakrawala|Proposal]]
 
* [[Cakrawala_Poster|Poster]]
 
* [[Cakrawala_Application|Application]]
 
* [[Cakrawala_Research Paper|Research Paper]]
 
||
 
* Christine
 
* Fresi
 
* Tommy Johnson
 
|-
 
 
 
||
 
<center><br/>[[IS428-AY2019-20T1_Group01|Group01]]
 
<br/>
 
[[File:NogadaFinal.png|300px|frameless|center]]
 
<br/>
 
</center><br/>
 
||
 
'''Project Title'''
 
 
 
Project description.  Not more than 350 words
 
 
 
||
 
* [[IS428-AY2019-20T1_Group01-Proposal|Proposal]]
 
* [[IS428-AY2019-20T1_Group01-Poster|Poster]]
 
* [[IS428-AY2019-20T1_Group01-|Application]]
 
* [[IS428-AY2019-20T1_Group01-Research Paper|Research Paper]]
 
||
 
* Student1
 
* Student2
 
* Student3
 
|-
 
 
 
||
 
<center><br/>[[ball4life]]
 
<br/>
 
[[File:ball4life.png|300px|frameless|center]]
 
<br/>
 
</center><br/>
 
||
 
'''Project Title'''
 
 
 
Project description.  Not more than 350 words
 
 
 
||
 
* [[Ball4life Proposal V2|Proposal]]
 
* [[ball4life_poster|Poster]]
 
* [[ball4life_application|Application]]
 
* [[ball4life_research_paper|Research Paper]]
 
||
 
* Chye Soon Hang
 
* Foo Yong Long
 
* Greg Tan Boon Kit
 
|-
 
 
 
|}
 
 
 
 
 
 
 
== Project Groups ==
 
 
 
 
 
Please change ''Your Team name'' to your project topic and change ''student name'' to your own name
 
 
 
 
 
{| class="wikitable centered" width="90%"
 
!Team
 
!colspan="18"|Members
 
 
 
|-
 
|width="10%"|<!-- Team --> [[Crime Scream-Proposal|Crime Scream]]
 
|colspan="3"|<!-- First team member  --> Ngoh Yi Long
 
|colspan="3"|<!-- Second team member --> Ho Jue Hong
 
|colspan="3"|<!-- Third team member --> Jazreel Tho Wei Wen
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
|-
 
|width="10%"|<!-- Team --> [[TBC|TBC]]
 
|colspan="3"|<!-- First team member  --> [https://www.linkedin.com/in/myeong-eun/ Sin Myeong Eun]
 
|colspan="3"|<!-- Second team member --> [https://www.linkedin.com/in/harvey-lauw-462479157/ Harvey Kristanto Lauw]
 
|colspan="3"|<!-- Third team member --> [https://www.linkedin.com/in/wendy-ng-8bab3a129/ Wendy Ng Sock Ling]
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
|-
 
|width="10%"|<!-- Team --> [[SuicideWatch|SuicideWatch]]
 
|colspan="3"|<!-- First team member  --> Lim Pei Xuan
 
|colspan="3"|<!-- Second team member --> Li XiaoHang
 
|colspan="3"|<!-- Third team member -->  Goh Jia Xian
 
|colspan="3"|<!-- Fourth team member --> Student name
 
|colspan="3"|<!-- Fifth team member --> Student name
 
|colspan="3"|<!-- Sixth team member --> Student name
 
|-
 
|width="10%"|<!-- Team --> [[Johnbau|John Bau]]
 
|colspan="3"|<!-- First team member  --> [https://www.linkedin.com/in/ronald-lay/ Ronald Lay]
 
|colspan="3"|<!-- Second team member --> [https://www.linkedin.com/in/heyicheng/ He Yicheng]
 
|colspan="3"|<!-- Third team member -->  [https://www.linkedin.com/in/sunho-lee-08846b153/ Lee Sunho]
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
|-
 
|width="10%"|<!-- Team --> [[IS428-AY2019-20T1_Group09-Proposal|KAWAII]]
 
|colspan="3"|<!-- First team member  --> [https://www.linkedin.com/in/cheng-leng-lee/ Lee Cheng Leng]
 
|colspan="3"|<!-- Second team member --> [https://www.linkedin.com/in/lim-zi-yuan/ Lim Zi Yuan]
 
|colspan="3"|<!-- Third team member -->  [https://www.linkedin.com/in/seanchai96/ Sean Chai Shong Hee Hee]
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
|-
 
|width="10%"|<!-- Team --> [[Task Force 428|Task Force 428]]
 
|colspan="3"|<!-- First team member  --> [https://www.linkedin.com/in/benedict-then/ Benedict Then]
 
|colspan="3"|<!-- Second team member --> [https://www.linkedin.com/in/jimmengkok/ Kok Jim Meng]
 
|colspan="3"|<!-- Third team member -->  [https://www.linkedin.com/in/victlin/ Victor Lin]
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
|-
 
|width="10%"|<!-- Team --> [[DreamWorks|Dreamworks]]
 
|colspan="3"|<!-- First team member  --> Chan Huang Suan
 
|colspan="3"|<!-- Second team member --> Wong Kuan Wai Gordon
 
|colspan="3"|<!-- Third team member -->  Yuen Chui Shan Jessica
 
|colspan="3"|<!-- Fourth team member --> -
 
|colspan="3"|<!-- Fifth team member -->  -
 
|colspan="3"|<!-- Sixth team member -->  -
 
|-
 
|width="10%"|<!-- Team --> [[Macao Travels|Macao Travels]]
 
|colspan="3"|<!-- First team member  --> [https://www.linkedin.com/in/hui-ling-chew-6776a7124/ Chew Hui Ling]
 
|colspan="3"|<!-- Second team member --> [https://www.linkedin.com/in/damianezy/ Damian Er]
 
|colspan="3"|<!-- Third team member -->  [https://www.linkedin.com/in/jenny-lee-001942bb/ Jenny Lee]
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
|-
 
|width="10%"|<!-- Team --> [[Two Eyes One Pizza]]
 
|colspan="3"|<!-- First team member  --> Linus Cheng Xin Wei
 
|colspan="3"|<!-- Second team member --> Kelvin Chia Sen Wei
 
|colspan="3"|<!-- Third team member -->  Wang Xuze
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
|-
 
|width="10%"|<!-- Team --> [[HDBViz]]
 
|colspan="3"|<!-- First team member  --> [https://www.linkedin.com/in/anne-lee-hui-xin-64a53b117/ Lee Hui Xin Anne]
 
|colspan="3"|<!-- Second team member --> Tan Sok Yi
 
|colspan="3"|<!-- Third team member -->  Teng Jing Wen
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member --> 
 
|-
 
|width="10%"|<!-- Team --> [[IS428 AY2019-20 T1 EC Inspector: Proposal V2|EC Inspector]]
 
|colspan="3"|<!-- First team member  --> [https://www.linkedin.com/in/bernice-ng-kai-ling/ Ng Kai Ling Bernice]
 
|colspan="3"|<!-- Second team member --> Abhyuday
 
|colspan="3"|<!-- Third team member -->  Ming Wei
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
|-
 
|width="10%"|<!-- Team --> [[ball4life]]
 
|colspan="3"|<!-- First team member  --> Greg Tan Boon Kit
 
|colspan="3"|<!-- Second team member --> Chye Soon Hang
 
|colspan="3"|<!-- Third team member -->  Foo Yong Long
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
|-
 
|width="10%"|<!-- Team --> [[Sunny Singapore]]
 
|colspan="3"|<!-- First team member  --> Pham Anh Kim Chau
 
|colspan="3"|<!-- Second team member --> Hsu En Yang
 
|colspan="3"|<!-- Third team member -->  Parth Goda Rajesh
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
 
|-
 
|-
|width="10%"|<!-- Team --> [[HomeIntel]]
 
|colspan="3"|<!-- First team member  --> Chua Xuan Ni, Rachel
 
|colspan="3"|<!-- Second team member --> Nurul Khairina Binte Abdul Kadir
 
|colspan="3"|<!-- Third team member -->  Ong Qian Ling
 
|colspan="3"|<!-- Fourth team member -->
 
|colspan="3"|<!-- Fifth team member -->
 
|colspan="3"|<!-- Sixth team member -->
 
 
|}
 
|}

Latest revision as of 01:23, 13 April 2020

Va.jpg IS428 Visual Analytics for Business Intelligence

About

Weekly Session

Assignments

Visual Analytics Project

Course Resources

 



Project Groups

Please change Your Team name to your project topic and change student name to your own name

Project Team Project Title/Description Project Artifacts Project Member
Precision Policy And Planning
Precision Policy And Planning logo.png

Enhancing the exploration of resident distribution and social demographic across planning area with Visual Analytics

With Singapore’s growing population and limited resources, she has to oversee several developing social trends to enjoy consistent prosperity and harmony. These social trends encompass growing income inequality, low birth rates and equal opportunities for education across planning areas. As such, insights on educational qualification, resident distribution, and demographics are key in ensuring better awareness of these dangerous trends and will help educate and inspire both the public and policy makers to build a holistic Singapore together.

Given the government’s effort of making socially relevant data public, we were inspired to use this data to build a visual analytics application to enhance the exploration of resident distribution and social demographic across planning area. This visual analytics platform will largely be based on Population Census data and uses several time series and map-based charts to manifest the different population trends. By using charts such as choropleth map, ternary plot, and dotted line chart, we will enable the user to interactively explore large amounts of data in a much more interpretative manner. This will help them identify key trends to get new ideas for policies and residential planning.

  • Ng Jun Hong
  • Choy Yu Min Justin
  • Jiang Xi
Rain & Shine
Rain & Shine(new).png

Identify in-depth insights and trends of the Climate in Singapore with Interactive Visualisations

The current reporting of Singapore's Climate has always been primitive and thus it is challenging to derive in-depth insights for viewers. In 2019, multiple news companies reported that Singapore is heating up twice as fast as the rest of the world. When combined with the island’s constant high humidity, it could be life-threatening. Professor Matthias Roth of the department of geography at the National University of Singapore (NUS) attributed the rising temperatures to global warming and the Urban Heat Island (UHI) effect. However, there was no data given to back up their claims on the changes in Singapore's weather.

Our team aims to present Singapore's climate data in more user-friendly and meaningful interpretation ways. Through Rain&Shine, an interactive and user-friendly visualization dashboard that shows the distribution of the climate by Subzone, Region, and Overall, we hope to provide Singaporeans with knowledge and in-depth insights to Singapore's Climate. Additionally, we want to identify the trends inherent within the weather data available and answer questions regarding the changes in Singapore's weather from available historical data.

  • Chua Ming Yu
  • Guo Lingxing
  • Tanny Lai
DevBuzz
Devbuzz.jpg

Visualizations of Stack Overflow Developers' Survey

Stack Overflow is arguably the biggest online community for developers all around the world. Each year, Stack Overflow field a survey with questions ranging from developers’ favorite technologies to their job preferences. This is done to allow Stack Overflow to better understand its active users. For 2019, nearly 90,000 developers participated in this 20-minute survey. Although the official Stack Overflow website provides a series of visualizations for all the results of their survey questions, we found that there is a lack of comprehensive and interactive visualizations. After much deliberation, our team has narrowed down to three main aspects that we think are the most interesting and useful to the general users: Technology, Salary, and Job.

Our team aims to build user-friendly dashboards that highlight the most interesting aspects of the active developers in Stack Overflow. This will allow any interested users to get a quick overview of the essential results of this annual survey without the need to tediously scroll through a long list of static visualizations. Additionally, through various useful interactive filters, users can customize their explorations and gain more meaningful insights that suit their needs.

In order to help us expedite the building of these interactive visualizations, our team has decided to use R which gives us access to a wide variety of libraries and tools for data preprocessing and building user-friendly dashboards.

  • Ang Wei Xuan Dion
  • David Chow Jing Shan
  • Peh Anqi
Anti-Suicide Squad
AntiSuicideSquad.jpg

Visualize the underlying patterns behind suicide

Close to 800 000 people die due to suicide every year, which comes up to one every 40 seconds according to the World Health Organisation (WHO). Suicide is a global phenomenon, present in many countries and is pervasive to people from all walks of life. In the last 45 years, suicide rates have increased by 60% worldwide and is now the second leading cause of death among young people after road injury.


Every life is precious. The numbers in the dataset was once a person who took their own lives, and had a ripple effect affecting their loved ones, family and friends. Our group would like to analyse factors such as gender, age, generation and GDP per capita to better understand the demographic of those who are likely to commit suicides, so that organisations such as Samaritans of Singapore or even schools and companies can identify those that are of higher risk and take measures to mitigate the likelihood of suicides for those people.

  • Sherry Tao Shi Hua
  • Tian Mingze
No Game No Life
Nogamenolife.png

Visualizing the trends and pattern of video game sales

The video game industry has grown massively over the years, with $2.3 billion in sales in the US alone in 2019. However, the industry has also shown signs of stagnation, with a 19% decline in sales from the previous year. With an increasingly saturated market and disruption caused by mobile and VR games, we aim to create an interactive platform to understand the trends of the industry and come up with insights to aid future and existing developers.

  • Darren Sim
  • Neo Tee Yong
  • Alyssa Rinelli
Growth Signal
Growth Signal Logo.jpg

Visualizing Singapore's Higher Education Landscape

Singapore’s education system has always been regarded as one of the most successful in the word and Education have been a key area of focus of development by the government to produce new talents and act as a source of revenue by attracting international students. Information such as the Graduate Employment Survey, Enrolment of students, government expenditure and the Global Competitiveness Index (GCI) rankings report on Singapore's education system are located either on various institutions’ website, government generated reports or on data sites. Hence, the general reader is unable to get the full information on higher learning institutions in Singapore.

How successful is Singapore’s graduates in securing employment and high income? What are the most popular and successful courses across different demographic and how has they changed over the years?

As such, our team planned to build a dashboard to act as a centralised platform to portray Singapore’s Higher Education Landscape, particularly those of Polytechnics and Universities in terms of its performance, enrolment, government spending and graduates’ prospects to help students gain insights to better plan their education path.

  • Daniel Soh
  • Lim Si Ling
  • Kang Hui Yun
WE ARE TEAM HIVA
Team mers logo.png

Visualization and insights of HIV in the United States

HIV/AIDS, a chronic manageable disease, is a global pandemic that has created unprecedented challenges for physicians and health infrastructures. There is no cure for HIV yet. However, treatment can control HIV and enable people to live a long healthy life.

Our project aims to provide visualizations for the public to better understand the extent of the problem. We also aim to show the importance of treatment by analysing links between seeking treatment and death rate.

  • Nicholas Tan Jun Hao
  • Ong Li Ting
  • Yip Jian Ming
Wolf of HDB Street

WOHS.png

Visualization: Singapore HDB Resale Flat Trend Analysis using Price and Volume

As a buyer looking for Resale HDB flats, it can be difficult to make a purchase decision due to the lack of information in the market. Information such as increasing or decreasing price trends over the years for each estate (e.g. Tampines) or submarket (e.g. 4-ROOM flats) could be essential in the decision making process. Current tools available in the market are insufficient to supplement this decision making process as they can be unnecessarily detailed resulting in the inability to conduct a high level analysis (e.g. Price trends for each submarket and/or estate).

Our project aims to provide a one-stop visualization tool that allows Resale flat buyers the flexibility to switch between high level and funneled down views so as to make better purchase decisions. The high level views include box plots showing price distributions across flat types which can then be funneled down into a histogram showing the volume distribution by size of flat filtered by flat type. The high level views also include line charts showing resale price and volume transacted trends across the years for each selected estate. The view of the line chart could be changed to focus on the trends by quarter of the year instead. We also have a dashboard which uses a tree map to display the resale price and transacted volume patterns for the range of storeys a flat is situated in (e.g. Are lower storeys in a building transacted more than the higher storeys?)

  • Aaron Sim Huei Min
  • Arino Ang Jia Ler
  • Shivika Khemka
Purple Haze
Purple haze.jpg

GDP per Capita vs Air Quality: Does Economic Development Necessitate Pollution?
We aim to show the relationship between GDP per Capita and air quality through our application. Does a higher GDP per Capita mean more pollution? Does an increase in GDP per Capita come with more air pollution? We aim to show this data across countries using visualisations like maps and scatterplots in our application, along with time series data showing the extensive history of air quality and economic data across the world.

  • Jordy Nelson Samuel
  • Parbat Shreyas
  • Gabriel Chuan Zhan Hong
Impex
Impex Logo.jpg

Visualizing the Imports and Exports of Singapore's Foreign Trading

Singapore has long been the key transport hub in the ASEAN region. However, global developments such as the trade war between the US and China, and events closer to home such as Thailand building the Kra canal may shift the balance out of Singapore’s favour.

It is key to correctly strategise in such uncertain times. We aim to be able to create new insight and actionable strategy as to how Singapore can maintain its position as a key transport hub.

  • Cerulean
  • Melanie Tan
  • Ryan Wong
WeHouse
WeHouse Logo.png

(DR.HDB) - Dissecting the Resale HDB

In the past, Singaporeans would turn to the primary source giver of Resale housing information known as The Housing Development Board (HDB) to understand the changes surrounding real estate. With the advent of Singstat and other public domain data sources, there are various online visualisations that Singaporeans seek guidance from, to understand the Housing situation in Singapore.

To meet analytical needs of HDB buyers or sellers, our team has contributed the DR.HDB tool which identifies numerous dashboards that provide an overview of resale markets in Singapore At times, such displays can be confusing for users to understand. In this project, we would like to demonstrate the potential of DR.HDB by breaking down resale and unit prices to allow users to understand the costs across various granularity from planning regions, towns to floor level. Through the use of treemaps, time-series charts and correlation boxplots dynamically linked to interactive maps, the user would have an interactive overview of the general resale price level and volume across the years.

  • Koh Teck Yun
  • Lu ZhiMao
  • Rachel Lim Pao Ling