Project Groups

ISSS608 Visual Analytics and Applications

About

Weekly Session

DataViz Makeover

Assignment

Visual Analytics Project

Resources

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
Group 1	Grocery - Product Maze: Navigating the Products through the maze by Network Visualization In this era of information explosion, this poses challenges in continuing the current conventional way to analyze association rules. Often these conventional methods do not show the underlying complex relationships between different items. Besides that, the conventional interface of the analytical software lack of interactivity between the graphs and the underlying model. Hence, in this research paper, an alternative way to visualize the association rules is presented. Demonstrations are also included to show interactivity functions are integrated into the application to provide a more seamless process in calibrating the model and visualizing the association rules. The designed application will provide users more control and flexibility.	Proposal Poster Application Research Paper	Jun Haur LOK Xingwen WANG Shifeng XU
Group 2	A Visual Exploration of Media Consumption in Singapore Government communicators’ real-world experience of using survey data to better understand their audiences falls short of ambition. The analytics practices of market research firms goes some way to explaining why this gap persists. This project aims to provide government communicators with a user-friendly web-enabled application to visually discover the media consumption patterns and behaviours of major audiences in Singapore. Untapped insights from survey data can be revealed by encouraging deeper interaction through this interface.	Proposal Poster Application Research Paper	Cherie Wong Pei Qi Denny Ramon Dunsford Vinit Nair
Group 3	Gateway to the Future Singapore Management University's 2 physical libraries – the Li Ka Shing Library and Kua Geok Chee Library aim to drive intellectual exchange and creation of new knowledge in our world and every 2 years, will conduct a library survey to discover what students, faculty and staff think about the services which the library provides to the SMU community. Our project aims to create a R Shiny application to ease the discovery of insights in the 2018 Library Survey by SMU library staff and management in order to guide future strategy and operations management, and hopefully the application can be used for analysis of this year's Library Survey 2020 results.	Proposal Poster Application User Guide Research Paper	Joshua LAM Karthik NITYANAND Shreyansh SHIVAM
Group 4	China Happiness Analysis Happiness is a very important topic all around the world nowadays, especially in China, the country which is becoming more and more focus on people’s happiness because of the development. Happiness can be influenced by a lot of factors, such as health, education and income. Also, happiness can show different features in different regions. Our objective is to get the most important factors to happiness in China. Therefore, we will use several types of graphs such as likert scale, bubble plot and mapping to analyze the result of a survey on Chinese people’s happiness in 2015 and consider different provinces in China.	Proposal Poster Application Research Paper User Guide	XU Yang SU Yu SONG Jiashun
Group 5	SHNVIZ: An Interactive Framework to Visualize Singapore’s Healthcare Network and Social Indices using Shiny App​ Our project aims to develop a data-driven decision support tool for policy-makers and analysts to explore relationships pertaining to healthcare equity and availability in Singapore. This includes a geo-spatial break-down of Singapore's income, demographic and healthcare availability indices to draw associative relationships as well as a postal-code based dynamic tool that fetches information on the nearest healthcare facilities.	Proposal Poster Application Research Paper	YEE Jiahao Andrew LIM LEE Pei Zhi
Group 6	ATMs by Spar Nord in Denmark With banks transforming digital, there is less demand for cash. As reported by Mckinsey, in Denmark where electronic instruments have driven cash usage below 40 percent, banks are facing a constant challenge to reduce the fixed cost of ATM networks and the high manual cost of cash in operations, distribution, maintenance, and processing. In this project, we will use data visualization techniques to map out the ATMs location, volume of transactions, frequency of transactions. We will apply several data analysis techniques to analyze the utility of the ATMs.	Proposal Poster Application Research Paper	Wei Yuqi Liu Xinran Ren Siqi
Group 7	Cryptocurrency Portfolio Selection As of March 2018, there are 1,658 cryptocurrencies in existence. The total cryptocurrency market capitalization is just under $369 billion. With the help of cryptography and a collective booking system called blockchain, cryptocurrencies build a distributed, safe and decentralized payment system, which does not need banks, intermediates, an organization or a central technical infrastructure to work. However, mainly due to lack of regulatory support, Cryptocurrencies are highly volatile, which makes it a risky investment. Therefore, in this project, a Shiny web application is created with the cryptocurrency analysis in mind. It integrates three types of analysis: Time Series Analysis, Correlation Analysis and Portfolio Selection Analysis within one application. This application is made to be informative and allows potential investors of cryptocurrency to interact with the data embedded within the application, view the visualization and generate results based on the selected filters before they make decision on cryptocurrency investment.	Proposal Poster Application Research Paper	Chen Peng Guo Yichao
Group 8	Re-imagining Bus Transport Network in Singapore Singapore's public transport use rose to hit a record high in 2018, with a total of 7.54 million trips made on buses or trains each day. Here's what may come across your mind: Do you ever have experiences where a bus ride that is supposed to be short and quick took way longer than expected? Are you frustrated that the bus stops at every stop even though there’s nobody boarding or alighting? And why do we have so many bus stops that almost nobody uses? What if we can reimagine the public bus network in Singapore through data? In this project, we will use data visualization techniques to map out all transportation nodes in Singapore and re-propose a different way of organizing our bus services, which include bus stops, bus routes, and connectivity within region and from regions to regions.	Proposal Poster Application & User Guide Research Paper	Lee Mengyong Chan Jiayi Koh Yongshan
Group 9	Poor In Wealth , Poor In Health ? Income equility is a hot issue these years,many sub-topics have been derived from this theme.Scholars have studied about the rootcause that result in this situation,the post-impact of income inequility and so on.Our project is to explore the relationship between individual income inequility and health.It will be a extension study of a existing work,published by Bakkeli, N., Income inequality and health in China: A panel data analysis. CHNS(China Health and Nutrition Survey) offer good resource for us to explore the income inequility problem in China,with more than 10 years data.Beyond original work scope,we will involve updated survey data to show the result.Besides,China context-income inequility gap among regions,will also be taken into consideration when conducting the analysis.The final result will be presented in a interactive visualization view.	Proposal Poster Application Research Paper	Lee Yajung Jiang Linlin Wang Yuechen
Group 10	SPIVA: A Singapore Property Interactive Visual Analytics Dashboard URA has done a great job at providing us with accurate data of all the private properties transaction in Singapore. However, many users use these data at a transactional level and thus does not bring out the full value of what the data tells us. Moreover, user might lack the analytical knowledge or tools to perform in depth analysis on these data. To overcome this issue, we designed and developed SPIVA, Singapore Property Interactive Visual Analytics Dashboard, to democratise data and analytics by allowing property marketplace stakeholders to explore and analyse Singapore private property data to gain valuable insights about Singapore property market price trends and expectations.	Proposal Poster Application Research Paper	Chan Yen Yen Fiona Lam Siew Peng Shannen Ho Chin Tee
Group 11 - LRT	SGSAS: Simple Geo-Spatial Analysis using R-Shiny Using Tesco Grocery data, we will present a link between nutrients from food purchases in Greater London to a number of geographically-salient indicators. Segmentation using both aspatial and geospatial clustering techniques are deployed in a R SHINY application. The application would also allow exploratory techniques like Geographically weighted regression (GWR) to facilitate visualisation of the nutirents information. Simple Feature (SF) data are used at 4 levels (LAD, Ward, MSOA, LSOA) in this user interactive application.	Proposal Poster Application Research Paper	LI Junyi Darren Muhammad Jufri Bin RAMLI TEO Lip Peng Raymond
Group 12	Global Warming, Global Warning! Global warming is an ongoing problem, and for a long time scientists have sounded the alarm about taking action to slow it down. Meanwhile, the situation continues to deteriorate. Rising temperatures have led to rising sea levels, changing rainfall patterns and more frequent extreme weather. Recent severe fires in Australia and locust plagues in Africa have been linked to droughts caused by warming temperatures. It is well known that the main cause of global warming is the massive use of fossil fuels (such as coal, oil, etc.) for nearly a century, which emits a large amount of CO2 and other greenhouse gases. These greenhouse gases absorb infrared light from the radiation emitted by the earth, causing the earth's temperature to rise. This project aims to let everyone know the trend of global warming and the emission of carbon dioxide in various countries, so that everyone can attach importance to this problem.	Proposal Poster Application Research Paper	Lyu Ruiqi Yao Zhiqian Zhao Chengyang
Group 13	Visualization of Human Development Data In every corner of the world, people wish to live a life with greater prosperity. Well, if a dream can come true, it won't be called a "dream" anymore. For many people in many countries, a dream will always be a dream. From time to time, we hear melancholy stories telling the life of people who live on the sideline of society. In this project, the real situation of the world will be uncovered. Can the people living in developed countries all enjoy beautiful lives? And what will the distribution of wealth in developing countries look like? The truth is cruel. People may think the inequality in the world has already been a problem, but in reality, we may be still over-optimistic. Inequality in some cases is undeniable. In this project, the team is going to figure out how severe the situation is. What is a huge gap between the rich and the poor? How different are women and men from factors such as education level and economic participation? Is there any country that does very well in dealing with the inequality situation? The team will conclude the inequality situation and find a solution to deal with this inequality problem. Inequality is widespread and exists in many countries. The task of our group is to study the severity of inequality and how we can address these issues.	Proposal Poster Application Research Paper	GENG Minghong JI Xiaojun ZHU Honglu
Group 14	Customer Attrition Prediction and Visualization In order to understand more directly the main factors that affect customer churn and better maintain the relationship with customers, relevant models will be built so as to select and visualize important variables. Lastly, we will present the comparison among models towards Recall, Accuracy, Precision and F1 score and evaluate the performances of different models.	Proposal Poster Application Research Paper	Qiu Yang Shi Yawen Zhu Keyu
Group 15	COVID-19 Diffusion Visualization Since December 2019, new cases of COVID-19 have been discovered in Wuhan, it has spread to all over China and other countries. As of 2019-03-01, a total of 79,971 cases have been diagnosed and a total of 2,873 deaths have been confirmed in China. The situation in the rest of the world is not optimistic, 7,277 cases have been confirmed and the total 18 deaths occurred in other countries. Its widespread and rapid speed is alarming. The 2019 nCov has caused a certain impact on the economy of China and even countries around the world, even has been taken seriously by WHO. In order to study trends in number of diagnoses, the number of suspected patients, and deaths over time for different areas, we use the 2019 nCov data for further analysis and visualization.	Proposal Poster Application Research Paper	Zhang Kaiyue Tao Xinru
Group 16	Think before we eat meat Meat is almost on every table across some developing and most developed countries. And it seems that we shall have more meat in the future. But is this true? By 2050, global food systems will need to meet the dietary demands of more than 10 billion people who on average will be wealthier than people today and will aspire to the type of food choices currently available only in high‑income countries. It would be impossible for a global population of 10 billion people to eat the amount of meat typical of diets in North America and Europe and keep within the agreed sustainable development goals (SDGs) for the environment and climate: it would require more land, world, and crops. Given these obvious concerns, can humans have more meat to eat in nearly future? Our team wish to have a close look to the global meat market, including production, consumption and trade to answer the question.	Proposal Poster Application Research Paper	GAO Yu HUANG Lu LI Ying
Group 17 : Detectives	Geospatial Visual Analytics Tool for Exploring and Analyzing Armed Conflicts in South Asia In this age of growing socio-political and cultural dissimilarities, the occurrences of armed conflicts have risen. This has been observed especially in nations that are in proximity to each other and those who share borders. Non-profit organizations like ACLED have been collating the data of such conflicts in a tabular form, analyzing such data and mapping the crisis of these events. By leveraging this data, which entails the conflict occurrences, date of conflicts, fatalities, types of conflicts, among other factors, we contribute a geo-spatial analytics tool to allow users to visualize the data for South Asian countries and garner insights with respect to conflict occurrences with great user experience. We demonstrate the potential of our application through interactive visualizations to explore the data alongside statistical analysis such as, spatio-temporal analysis and multitype point pattern analysis.	Proposal Poster Application Research Paper	Oishee Bhattacharyya Jaideep Ballani Denise Adele Chua Hui Shan