Difference between revisions of "Project Groups"

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'''Singapore Healthcare Network'''
 
'''Singapore Healthcare Network'''

Revision as of 00:12, 8 March 2020

Vaa logo.jpg 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
Group1 Icon.jpg

Market Basket Analysis

Market Basket Analysis (MBA) is one of the key techniques used by large retailers to uncover associations between products brought by consumers. In our case, we apply a sequential version of MBA, called “sequential itemset mining” or “sequential pattern mining”, to analyze whether buying one item in the past indicates a higher likelihood of buying other things in the future. For instance, whether purchasing peanut butter implies sales of bread in the near future.

  • Lok Jun Haur
  • Wang Xingwen
  • Xu Shifeng
Group 2
Group 02 icon.jpg

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.

  • Cherie Wong Pei Qi
  • Denny Ramon Dunsford
  • Vinit Nair
Group 3
Group 03 -

Keys to the Past, Gateway to the Future

As persons in academia or students currently being educated - we are so intimately connected to the library - as it is the place we consume knowledge and share ideas with each other. Therefore, wouldn't we hope the library be as good as it can be - giving us creature comfortable while having information accessible at our fingertips? Libraries are quipped to be the keys to the past and gateway to our future, but in a twist, data from Singapore Management University's 2018 Library Survey will be our keys to unlock insights so that we can pave the way for a better library for us to enjoy in the future.

  • Joshua LAM Jie Feng
  • Karthik NITYANAND
  • Shreyansh SHIVAM
Group 4

Project title

Abstract (NOT more that 350 words)

  • SU Yu
  • SONG Jiashun
  • XU Yang
Group 5

Singapore Healthcare Network

The Ministry of Health (MOH) believes in ensuring quality and affordable basic medical services for all. Singapore’s healthcare system is designed to ensure that everyone has access to different levels of healthcare in a timely, cost-effective and seamless manner.

Despite the efforts mentioned above, there are growing signs of inequality in Singapore . Whilst social inequality can be measurable by many means, we will like to particularly highlight healthcare accessibility as a proxy for social inequality. We intend to test out whether the same standard of healthcare access is provided to all planning area/region in Singapore despite differences in income levels per planning area as well as whether there is appropriate healthcare coverage for the ageing population.

  • Yee Jiahao
  • Andrew Lim
  • Lee Pei Zhi
Group 6
Group6-proj cover.jpg

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.

  • Wei Yuqi
  • Liu Xinran
  • Ren Siqi
Group 7
Cryptocurrencies - PicSource:https://www.verdict.co.uk/central-bank-cryptocurrency/

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.

  • Chen Peng
  • Guo Yichao


Group 8
Bus meme.jpg

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.

  • Lee Mengyong
  • Chan Jiayi
  • Koh Yongshan
Group 9
Inequity.png

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.

  • Lee Yajung
  • Jiang Linlin
  • Wang Yuechen
Group 10
Landed.PNG

Properties of CrazyRichAsians

Abstract (NOT more that 350 words)

  • Chan Yen Yen Fiona
  • Lam Siew Peng Shannen
  • Ho Chin Tee
Group 11 - LRT
Group 11

Google Analytics - Power Up!

Google Analytics is a suite of analytical tools to provide insights on website access to aid businesses decisions. Our project aims to deliver a R-Shiny app that provides better interactivity in user interface, enhanced visualization and statistical analysis of key audience, behaviour and performance insights and a repeatable workflow for the export and import of Google Analytics data.

  • LI Junyi Darren
  • Muhammad
    Jufri Bin
    RAMLI
  • TEO Lip Peng Raymond
Group 12
Global warming.jpg

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.

  • Lyu Ruiqi
  • Yao Zhiqian
  • Zhao Chengyang
Group 13
Income-inequality.jpg

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.

  • GENG Minghong
  • JI Xiaojun
  • ZHU Honglu
Group 14
Customer churn pic.png

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.


  • Qiu Yang
  • Shi Yawen
  • Zhu Keyu
Project team name

Project title

Abstract (NOT more that 350 words)

  • Member 1 name
  • Member 2 name
  • Member 3 name
Project team name

Project title

Abstract (NOT more that 350 words)

  • Member 1 name
  • Member 2 name
  • Member 3 name
Group 17 : Detectives
Group 17

Armed Conflicts in South Asia

With the persistent existence of armed conflicts, it is important to understand the behavior of these events and how various factors impact the intensities of these events. This project aims at delivering an R shiny app that first provides a basic understanding of the nature of the armed conflict events, e.g. the different types of armed conflicts, the intensities in different countries in south Asia, and time series analysis to visualize the evolution of the armed conflicts with the impact in terms of fatalities over the period of 2016-2020 in South Asia.

  • Oishee Bhattacharyya
  • Jaideep Ballani
  • Denise Adele Chua Hui Shan