Project Groups
IS428 Visual Analytics for Business Intelligence
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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 |
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Visualizing Global Warming and Climate Change Recent president candidate of the US, Mr Donald Trump thinks that climate change is a hoax. That is really worrying, especially when current polls are showing that he is having a real chance in winning the election. Our team seeks to validate the climate change's truthfulness by exploring and visualizing ocean, land and weather data. Thus, we hope through this project, we settle the fact once and for all. Moreover, this serves as a tool to raise the awareness and understanding of our mother Earth's health status. How the climate has changed over time, which stage are we in and how many years does Singapore has left to stay above the sea level. |
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Stackoverflow StackOverflow is the largest, most trusted online community for developers to learn, share their programming knowledge, and build their careers. This is achieved through questions and answers posted on the site that concerns a wide range of topics related to computer programming. The success of such a platform depends on high quality questions and answers contributed by an engaged community. Thus, some measures to screen for quality includes using ‘badges’ to signify reputation for users, votes on post (upvote or downvote) and using community administrators to close questions that have been answered before or are irrelevant. |
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With housing prices being a hot topic that most undergraduates are talking about as we approach that final period called graduation, don't you wish that there was a way for us to get a better picture of the housing market so that we can make our big decision on where we are going to live from now on? Thus, we sought out to look for a dataset which would be able to provide us with the required information we needed to come up with useful visualizations. Unfortunately, most datasets are incomplete or not useful in providing us with any insight unless a good amount of data cleaning and wrangling is done. For example, transaction data which only gives you the block number and road name with no postal code. How is that useful? Therefore, one of our primary goals is to come up with a visualization which would provide users with useful information about the resale market in Singapore and help people gain access to a better data set than the ones currently out there. In terms of what visualizations we would be going for, we felt that it would be interesting to look into the historical flat data so that we can see which flats in Singapore would be the most value for money so that we can actually get a home which is worth its investment. We also felt that it would be fun to explore trends in the resale flat prices and see what factors really affect the prices of HDBs and see how much of a premium people attach to amenities such as proximity to public transport, schools and etc... |
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Visualizing Singapore's Energy Consumption Experts have warned that power demand is set to double by 2030 globally despite authoritative control. According to Energy Market Authority (EMA), Singapore has faced increasing power consumption from 1965 to 2013. As Singapore is land-scarce and does not have significant renewable energy options such as hydro-power, wave, or sufficient land for mass solar energy production, energy has been a top concern in the urban nation. It is thus important to promote energy saving concepts to the public as well as deploying energy saving solution island wide. Our team aims to create a visualisation that leverages on energy datasets provided by EMA to perform spatial analysis to identify energy usage clusters. |
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Visualizing Trade of Goods between Countries Singapore’s location at the tip of the Malay Peninsula has long made it a vital hub for the trade of goods through the Straits of Malacca. This establishes the importance of understanding trade patterns, influenced by multiple macroeconomic factors, to safeguard the stability and future of the nation. Various government bodies pay close attention to these figures, continuously monitoring the trade numbers and the countries that contribute to it. Although the Straits Times regularly refers to trade figures during reporting, we would like to challenge the status-quo and come out with better visualisations that can display this information for the relevant agencies and the general public much quickly, clearly and concisely. |
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Visualizing Private Property Market in Singapore Real Estate investment has always been a relatively safe choice for those seeking to gain decent returns on investment. Although there are plenty of opportunities to make huge profits from a real estate investment, it is a complexed investment vehicle due to the economic, financial and geographical issues that one has to consider. In Singapore, several analytical tools have been created to guide people in property purchase but they might be lacking in certain analysis capabilities. Therefore, we aim to develop an improved visualisation of the Singapore private property market that offers better analysis capabilities to meet the needs of analysts, investors and real estate agents. |
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Visualizing Visitors to Singapore Tourism has always been a sector of large importance to Singapore's economy. The Singapore Tourism Board (STB) has outlined a strategy to grow Singapore's tourism industry through identifying growth potential for current and future markets, especially focusing on Asia. Hence, we will be conducting a data discovery of the Top 15 visitor countries to Singapore, to analyse their growth potential and discover if STB has really won a significant amount of their tourist numbers. This project will provide an interactive visualisation to better analyse STB's strategy: should resources be allocated to investments in these markets to continue to drive demand? Or should STB start look at how it can diversify its market portfolio beyond Asia? |
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| Team | Members
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| Home Sweet Home | Russell Yap Song Chen | Benedict Wee Yu Rui | Lucas Leong Li Heng | - | - | - | ||||||||||||
| Visual Autolytics | Cheryl Chiam | Low Kang Li | Sarah Jane Tong | |||||||||||||||
| kiloGrab | Felicia Anto Christy | Foo Ru Jia | M Has Nilofar | - | - | - | ||||||||||||
| Tax-Ed | Bryan Lau | Taffy | Tam Kei Wen | - | - | - | ||||||||||||
| Mighty Morphine Power Rangers | Fan Kaiyang | Mark Ng Wei Jie | Gary Quek Jian Zhang | - | - | - | ||||||||||||
| Same Same But Different | He Xi | Wang Miao Qiong | Shi XiaoYu | - | - | - | ||||||||||||
| Data Tsunami | DONG RUIYAN | ZHANG QIAN | LEE TING KOK JEREMY | - | - | - | ||||||||||||
| Duo | Wilson Lim Wang Chun | Jianhua Wu | - | - | - | |||||||||||||
| Los Tres Moscatero | Victoria Koh Wei Ting | Jonathan Chew Yee Long | Siew Xue Quan Jazreel | - | - | - | ||||||||||||
| Null Sector | Dinh Viet Nguyen | Duong Ngo Bao Tran | Yorisan Khosugi | - | - | - | ||||||||||||
