Difference between revisions of "Project Groups"
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− | ''' | + | ''' Korea Suicide Analysis ''' |
− | + | 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. | |
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+ | 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. | ||
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− | * [[ | + | * [[John Bau|Proposal]] |
* [[IS428-AY2019-20T1_Group01-Poster|Poster]] | * [[IS428-AY2019-20T1_Group01-Poster|Poster]] | ||
* [[IS428-AY2019-20T1_Group01-|Application]] | * [[IS428-AY2019-20T1_Group01-|Application]] | ||
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* Yicheng He | * Yicheng He | ||
* Sunho Lee | * Sunho Lee | ||
− | * Ronald | + | * Ronald Lay |
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Revision as of 15:02, 13 October 2019
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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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John Bau
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Korea Suicide Analysis 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. 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. |
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DreamWorks
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Project Title Project description. Not more than 350 words |
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SuicideWatch
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Visualising Global Suicide Rates and its Complexities Death by suicide is an extremely complex issue that causes pain to hundreds of thousands of people every year around the world. Close to 800 000 people die due to suicide globally every year, which is one person every 40 seconds. In Singapore, suicide is the leading cause of death for those aged 10-29. The mortality data from the WHO suggests that the prevalence and characteristics of suicidal behavior vary widely between different communities, in different demographic groups and over time. One important source of heterogeneity, both globally and within countries, is gender: suicide rates are much higher for males, particularly in high-income countries. Interestingly in Singapore, females are more likely to be diagnosed with depression and attempt suicide, but males accounted for more than 71% of all suicides in Singapore in 2018. But are there other similarities or patterns that we can discern from the available data? Often seen as a taboo topic, suicide is a very real problem that is not talked about enough. Through our visualisation, we hope to be able to shed some light on and spur conversations on this issue. |
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Group04
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Project Title Project description. Not more than 350 words |
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Crime Scream
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Crime Scream Project description. Not more than 350 words |
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Two Eyes One Pizza
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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.
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Macau777
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Visualising Macau's Tourism Industry Project description. Not more than 350 words |
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Climate Vizards
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Visualisation of Singapore's climate 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. |
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KAWAII
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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. |
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Task Force 428
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Visualising Global Terrororism Acts 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. |
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HomeIntel
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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.
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HDBViz
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HDBViz 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 of the flats and the facilities available. |
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Group01
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Project Title Project description. Not more than 350 words |
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Cakrawala
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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. |
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Group01
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Project Title Project description. Not more than 350 words |
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Project Groups
Please change Your Team name to your project topic and change student name to your own name
Team | Members | |||||||||||||||||
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Ice-cream | Ngoh Yi Long | Ho Jue Hong | Jazreel Tho Wei Wen | |||||||||||||||
TBC | Sin Myeong Eun | Harvey Kristanto Lauw | Wendy Ng Sock Ling | |||||||||||||||
SuicideWatch | Lim Pei Xuan | Li XiaoHang | Goh Jia Xian | Student name | Student name | Student name | ||||||||||||
John Bau | Ronald Lay | He Yicheng | Lee Sunho | |||||||||||||||
Not Sure Yet | Lee Cheng Leng | Lim Zi Yuan | Sean Chai Shong Hee Hee | |||||||||||||||
Task Force 428 | Benedict Then | Kok Jim Meng | Victor Lin | |||||||||||||||
Dreamworks | Chan Huang Suan | Wong Kuan Wai Gordon | Yuen Chui Shan Jessica | - | - | - | ||||||||||||
Macau777 | Damian Er | Chew Hui Ling | Jenny Lee | |||||||||||||||
Two Eyes One Pizza | Linus Cheng Xin Wei | Kelvin Chia Sen Wei | Wang Xuze | |||||||||||||||
HDBViz | Lee Hui Xin Anne | Tan Sok Yi | Teng Jing Wen |