Difference between revisions of "Project Groups"

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<font size = 5; color="#FFFFFF">ISSS608 Visual Analytics and Applications</font>
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[[Course_information| <font color="#FFFFFF">About</font>]]
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[[Lesson_Plan| <font color="#FFFFFF">Weekly Session</font>]]
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[[VAProject| <font color="#FFFFFF">Visual Analytics Project</font>]]
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[[Course_Resources| <font color="#FFFFFF">Course Resources</font>]]
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|  &nbsp;
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== Project Groups ==
 +
 +
Please change ''Your Team name'' to your project topic and change ''student name'' to your own name
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{| border="1" cellpadding="1"
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|- style="background-color:#2B3856; color:white; height:50px"
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! style="width:100px"| Project Team
 +
! style="width:650px"| Project Title/Description
 +
! style="width:150px"| Project Artifacts
 +
! style="width:150px"| Project Member
 +
|-
 +
||
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[[File:SGBus.jpg|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016_17T1_Group1_Proposal]]
 +
||
 +
'''Transport Data from EZlink'''
 +
 +
Singapore is a highly urbanised city state with a good network of public transport. It is important to understand how the population flows within the city state through the public transport system. The public transport planners will need to understand the characteristics of the population commuting on the public transport system, especially the public bus system. The public bus system has a greater reach to majority of the population and is more dynamic in nature as compared to the train system. By understanding the characteristics of the commuters, it will allow the planners to twist the public bus system in order to make it more efficiency and support the initiative of a car-lite society.
 +
 +
 +
||
 +
*[[ISSS608_2016_17T1_Group1_Proposal|Proposal]]
 +
*[[ISSS608_2016_17T1_Group1_Poster|Poster]]
 +
*[[ISSS608_2016_17T1_Group1_Report|Report]]
 +
 +
||
 +
* Raymond Goh
 +
* Kee Bei Jia
 +
 +
|-
 +
||
 +
[[File:TeamA lg.png|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016-17_T1_Project_Team_11]]
 +
||
 +
'''Project A'''
 +
 +
An integrated business dashboard for an interior furnishing business (Company A) in Singapore to conduct customers, sales, and product analysis through visual analytics.  The dashboard will also compare current business performance with the current market's potential and identify untapped market opportunities. With the dashboard, the management no longer has to analyze the business performance from static visuals using traditional tools such as MS Powerpoint & Excel, and does not have to wait for hours for their staff to provide them with further breakdowns. Last but not least, the dashboard enables them to compare their gut feel and past experiences with the current pulse of the market. These, in turn, will empower the management to make better and more realistic business decisions.
 +
 +
||
 +
*[[ISSS608 2016-17 T1 Project Team 11| <font color="#000000">Project A Portfolio</font>]]
 +
 +
||
 +
* Chia Yong Jian
 +
* Nguyen Tien Duong
 +
* Ong Han Ying
 +
 +
|-
 +
||
 +
 +
[[File:L_LOGO.png|100px|frameless]|
 +
 +
[ISSS608 2016-17 T1 Project Team 10]]
 +
||
 +
'''VAST Challenge 2016 – Return to Kronos
 +
(Mini challenge 2)'''
 +
 +
This challenge involves analysis of a collection of static data about two weeks of GAStech operations data, including building sensor readings and prox-card movement throughout the building. Deliverables include interesting patterns, anomalies/unusual events that are most likely to represent a danger or a serious issue for building operations, and relationships between the proximity card data and building data elements.
 +
 +
http://vacommunity.org/2016+VAST+Challenge%3A+MC2
 +
 +
||
 +
*[[ISSS608_2016_17T1_Group10_Proposal|Proposal]]
 +
*[[ISSS608_2016_17T1_Group10_Poster|Poster]]
 +
*[[ISSS608_2016_17T1_Group10_Application|Application]]
 +
*[[ISSS608_2016_17T1_Group10_Report|Report]]
 +
||
 +
* Wesley Fabrice
 +
* Cheryl Lee Mei Hui
 +
* Linda Teo Kwee Ang
 +
 +
|-
 +
||
 +
[[File:Tfm UR.jpg|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016_17_T1_Project_Team_3_Proposal]]
 +
 +
||
 +
'''A Peek into University Ranking - A Visualization'''
 +
 +
University ranking is always one consideration for to-be applicants. There is a certain prestige in having a better ranking, and universities generally work towards having better standing. According to Kaggle, "Ranking universities is a difficult, political, and controversial practice." Through this visual analytics project, we look to analyse the world distribution of these universities, its attributes, rankings over time, and seek to draw insights from them.
 +
 +
||
 +
 +
*[[ISSS608_2016_17 T1 Project Team 3_Proposal|Proposal]]
 +
*[[ISSS608_2016_17 T1 Project Team 3_Poster|Poster]]
 +
*[[ISSS608_2016_17 T1 Project Team 3_Application|Application]]
 +
*[[ISSS608_2016_17 T1 Project Team 3_Report|Report]]
 +
 +
||
 +
* HO Li Chin
 +
* Christine THIAN
 +
* Alvin YUEN
 +
 +
|-
 +
 +
|-
 +
||
 +
[[File:group8_icon.png|100px|frameless|link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016-17_T1_Project_Team_8]]
 +
||
 +
Even though Zika virus has been identified as early as in 1940s, it wasn't widely reported till it outbroke rapidly in south America in 2015. In Singapore, the first case was found in August 2016. Within 2 months, there are more than 400 cases identified locally. In this project, we will exam spread pattern of the Zika virus, are there any relationship between the weather or geolocation and the spread of this virus.
 +
||
 +
 +
*[[ISSS608 2016-17 T1 Project Team 8|Proposal]]
 +
*[[ISSS608_2016_17T1_Group8_Poster|Poster]]
 +
*[[ISSS608_2016_17T1_Group8_Application|Application]]
 +
*[[ISSS608_2016_17T1_Group8_Report|Report]]
 +
||
 +
* Ye JiaTao
 +
* Yang YuWei
 +
* Chen YiFan
 +
 +
|-
 +
||
 +
[[image:DashboardViz_logo.jpg|100px]]
 +
[[ISSS608_2016_17T1_Group5|Team 5]]
 +
||
 +
For an ecommerce website, they’ve tremendous of data from sales log, source traffic, etc. It’s a challenging task for digital marketer to make decision quickly based on the information in hand. The data was stored in various storage such as Google Analytics and SQL databases. To combine and visualize them is a manual work that requires lot of time and efforts. Creating this visualization dashboard would help a digital marketer to be able to see and explore their marketing campaign effectively.
 +
 +
||
 +
*[[ISSS608_2016_17T1_Group5_Proposal|Proposal]]
 +
*[[ISSS608_2016_17T1_Group5_Poster|Poster]]
 +
*[[ISSS608_2016_17T1_Group5_Application|Application]]
 +
*[[ISSS608_2016_17T1_Group5_Report|Report]]
 +
||
 +
* Lee Gwo Mey
 +
* Prasongthanakit Kanokkorn (Lin)
 +
* Vaishnavi A M S
 +
 +
|-
 +
||
 +
[[File:threetify_logo2.png|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016_17T1_Group6]]
 +
||
 +
'''Visualising Terrorism'''
 +
 +
In recent years, terrorism attacks in the western world are the centre of focus and receive extensive reporting. However, terrorist attacks in the Middle East, South America, Africa and South Asia often receive much less attention or totally neglected. This creates a perspective that is far from the truth. We aim to present a holistic picture of the global terrorist attacks: across time, countries, targets and methods, to help the viewers have a better understanding of terrorist attacks in various countries during different periods of time. As such, we have built an interactive dashboard visualisation that showcases the changes in terrorist attacks from 1985 to 2016.
 +
 +
||
 +
*[[ISSS608_2016_17T1_Group6_Proposal|Proposal]]
 +
*[[ISSS608_2016_17T1_Group6_Poster|Poster]]
 +
*[https://threetify.github.io/welcome/ Application]
 +
*[[ISSS608_2016_17T1_Group6_Project_Report|Report]]
 +
||
 +
* Xi Qiuyun
 +
* Liu Jialin
 +
* Lim Hui Ting Jaclyn
 +
 +
|-
 +
||
 +
[[File:Rplot06 1.png|100px]]
 +
[[ISSS608_2016_17T1_Group4|AnalyTweets]]
 +
||
 +
'''Visualising Twitter: Hashtags and User Mentions Network'''
 +
 +
Twitter is described as the SMS of the internet. When key events occur, knowing the buzz from an information network such as Twitter tells you the present. Our aim is to visually analyze the association of #tags, representing a key idea, with @mentions.
 +
 +
||
 +
*[[ISSS608_2016_17T1_Group4_Proposal|Proposal]]
 +
*[[ISSS608_2016_17T1_Group4_Poster|Poster]]
 +
*[[ISSS608_2016_17T1_Group4_Application|Application]]
 +
*[[ISSS608_2016_17T1_Group4_Report|Report]]
 +
||
 +
* Kuar Kah Ling
 +
* Meenakshi Gopalakrishnan
 +
* Parikshit Mayee
 +
|-
 +
||
 +
[[File:ProjectGroup14.png|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016_17T1_Group14_Proposal]]
 +
||
 +
'''European Football Visualization'''
 +
 +
One of the most popular sports worldwide is football. Football can be considered as the most favourite sport in the world, especially in Europe. The motivation of this project is to discover interesting findings about the top 4 leagues in Europe. (England, Spain, Italy, Germany)
 +
 +
||
 +
*[[ISSS608_2016_17T1_Group14_Proposal|Proposal]]
 +
*[[ISSS608_2016_17T1_Group14_Poster|Poster]]
 +
*[[ISSS608_2016_17T1_Group14_Application|Application]]
 +
*[[ISSS608_2016_17T1_Group14_Report|Report]]
 +
||
 +
* Frandy Eddy
 +
* Franky Eddy
 +
* Aditya Hariharan
 +
 +
|-
 +
||
 +
[[File:Imdbtop250.jpg|100px|center]]
 +
||
 +
'''IMDb'''
 +
 +
The project aims to enable the user to explore various aspects of IMDb data set through interactive visualization tools and techniques.
 +
 +
||
 +
*[[ISSS608_2016_17T1_Group9_Proposal|Proposal]]
 +
*[[ISSS608_2016_17T1_Group9_Poster|Poster]]
 +
*[[ISSS608_2016_17T1_Group9_Application|Application]]
 +
*[[ISSS608_2016_17T1_Group9_Report|Report]]
 +
||
 +
* Abhinav Ghildiyal
 +
* Agrim Gairola
 +
* Vishal Bansal
 +
 +
|-
 +
||
 +
[[Image:8-1405231122100-L.jpg|100px|center]]
 +
||
 +
'''Cancer in U.S.'''
 +
 +
 +
Prevention and treatment of cancers are always important issues on people's health. In our project, we would explore relationships among ages, sex, states and various cancers. 
 +
 +
 +
||
 +
 +
*[[ISSS608_2016_17T1_Group2_Proposal|Proposal]]
 +
*[[ISSS608_2016_17T1_Group2_Poster|Poster]]
 +
*[[ISSS608_2016_17T1_Group2_Application|Application]]
 +
*[[ISSS608_2016_17T1_Group2_Report|Report]]
 +
||
 +
* Li Dan
 +
* Wei Jingxian
 +
* Zhang Zhe
 +
 +
|-
 +
||
 +
[[File:ISSS608 1617 project team1 logo.png|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016_17_T1_Project_Team_1_Proposal]]
 +
||
 +
'''Video Game Analytics'''
 +
 +
Vgchartz.com, is a video game sales tracking website that provides weekly sales figures of console software and hardware by region. The site was launched in June 2005 and is run by a small team of ten. Presently, users find the visualizations time consuming, difficult to comprehend and navigate.
 +
 +
 +
||
 +
 +
*[[ISSS608_2016_17 T1 Project Team 1_Proposal|Proposal]]
 +
*[[ISSS608_2016_17 T1 Project Team 1_Poster|Poster]]
 +
*[[ISSS608_2016_17 T1 Project Team 1_Application|Application]]
 +
*[[ISSS608_2016_17 T1 Project Team 1_Report|Report]]
 +
 +
||
 +
* Zhang Jinchuan
 +
* Li Nanxun
 +
* Chris Thng
 +
* Ling Jingting
 +
 +
|-
 +
 +
||
 +
[[File:Signboard-hdb.jpg|100px|center]]
 +
 +
||
 +
 +
'''A View at HDB Car Parking System'''
 +
 +
The HDB car parking system in Singapore is a very mature one. This project aims to visualize this car parking system. The various types of car parking  are understood and visualized. These car parking systems are  broken down area-wise and block-wise and  visualized using various tools and visualizations such as hierarchical tree and sunburst diagrams.
 +
||
 +
 +
*[[ISSS608_2016_17 T1 Project Team 12_Project Home Page|Project Home Page]]
 +
*[[ISSS608_2016_17 T1 Project_Team_12_Proposal|Proposal]]
 +
*[[ISSS608_2016_17 T1 Project_Team_12_Poster|Poster]]
 +
*[[ISSS608_2016_17 T1 Project_Team_12_Application|Application]]
 +
*[[ISSS608_2016_17 T1 Project_Team_12_Report|Report]]
 +
||
 +
 +
* Arcchit Mittal
 +
* Mukund Krishna Ravi
 +
* Shishir Pravin Nehete
 +
 +
|-
 +
||
 +
[[File:Team7-project-icon.png|100px|center]]
 +
 +
||
 +
'''Getting To Know Mobile Device Users'''
 +
 +
TalkingData, China’s largest third-party mobile data platform, understands that everyday choices and behaviors paint a picture of who we are and what we value. Currently, TalkingData is seeking to leverage behavioral data from more than 70% of the 500 million mobile devices active daily in China to help its clients better understand and interact with their audiences.
 +
 +
In this project, we are challenged to visualize users’ demographic characteristics based on their app usage, geolocation, and mobile device properties. Doing so will help millions of developers and brand advertisers around the world pursue data-driven marketing efforts which are relevant to their users and catered to their preferences.
 +
||
 +
 +
*[[ISSS608_2016_17 T1 Project Team 7_Proposal|Proposal]]
 +
*[[ISSS608_2016_17 T1 Project Team 7_Poster|Poster]]
 +
*[[ISSS608_2016_17 T1 Project Team 7_Application|Application]]
 +
*[[ISSS608_2016_17 T1 Project Team 7_Report|Report]]
 +
 +
||
 +
* Wan Xulang
 +
* Xu Qiuhui
 +
|}
 +
 +
 +
 
== Project Groups ==
 
== Project Groups ==
  

Revision as of 08:30, 29 July 2017

Vaa1.jpg ISSS608 Visual Analytics and Applications

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

100px

Transport Data from EZlink

Singapore is a highly urbanised city state with a good network of public transport. It is important to understand how the population flows within the city state through the public transport system. The public transport planners will need to understand the characteristics of the population commuting on the public transport system, especially the public bus system. The public bus system has a greater reach to majority of the population and is more dynamic in nature as compared to the train system. By understanding the characteristics of the commuters, it will allow the planners to twist the public bus system in order to make it more efficiency and support the initiative of a car-lite society.


  • Raymond Goh
  • Kee Bei Jia

100px

Project A

An integrated business dashboard for an interior furnishing business (Company A) in Singapore to conduct customers, sales, and product analysis through visual analytics. The dashboard will also compare current business performance with the current market's potential and identify untapped market opportunities. With the dashboard, the management no longer has to analyze the business performance from static visuals using traditional tools such as MS Powerpoint & Excel, and does not have to wait for hours for their staff to provide them with further breakdowns. Last but not least, the dashboard enables them to compare their gut feel and past experiences with the current pulse of the market. These, in turn, will empower the management to make better and more realistic business decisions.

  • Chia Yong Jian
  • Nguyen Tien Duong
  • Ong Han Ying

[ISSS608 2016-17 T1 Project Team 10

VAST Challenge 2016 – Return to Kronos (Mini challenge 2)

This challenge involves analysis of a collection of static data about two weeks of GAStech operations data, including building sensor readings and prox-card movement throughout the building. Deliverables include interesting patterns, anomalies/unusual events that are most likely to represent a danger or a serious issue for building operations, and relationships between the proximity card data and building data elements.

http://vacommunity.org/2016+VAST+Challenge%3A+MC2

  • Wesley Fabrice
  • Cheryl Lee Mei Hui
  • Linda Teo Kwee Ang

Tfm UR.jpg

A Peek into University Ranking - A Visualization

University ranking is always one consideration for to-be applicants. There is a certain prestige in having a better ranking, and universities generally work towards having better standing. According to Kaggle, "Ranking universities is a difficult, political, and controversial practice." Through this visual analytics project, we look to analyse the world distribution of these universities, its attributes, rankings over time, and seek to draw insights from them.

  • HO Li Chin
  • Christine THIAN
  • Alvin YUEN

100px

Even though Zika virus has been identified as early as in 1940s, it wasn't widely reported till it outbroke rapidly in south America in 2015. In Singapore, the first case was found in August 2016. Within 2 months, there are more than 400 cases identified locally. In this project, we will exam spread pattern of the Zika virus, are there any relationship between the weather or geolocation and the spread of this virus.

  • Ye JiaTao
  • Yang YuWei
  • Chen YiFan

100px Team 5

For an ecommerce website, they’ve tremendous of data from sales log, source traffic, etc. It’s a challenging task for digital marketer to make decision quickly based on the information in hand. The data was stored in various storage such as Google Analytics and SQL databases. To combine and visualize them is a manual work that requires lot of time and efforts. Creating this visualization dashboard would help a digital marketer to be able to see and explore their marketing campaign effectively.

  • Lee Gwo Mey
  • Prasongthanakit Kanokkorn (Lin)
  • Vaishnavi A M S

100px

Visualising Terrorism

In recent years, terrorism attacks in the western world are the centre of focus and receive extensive reporting. However, terrorist attacks in the Middle East, South America, Africa and South Asia often receive much less attention or totally neglected. This creates a perspective that is far from the truth. We aim to present a holistic picture of the global terrorist attacks: across time, countries, targets and methods, to help the viewers have a better understanding of terrorist attacks in various countries during different periods of time. As such, we have built an interactive dashboard visualisation that showcases the changes in terrorist attacks from 1985 to 2016.

  • Xi Qiuyun
  • Liu Jialin
  • Lim Hui Ting Jaclyn

100px AnalyTweets

Visualising Twitter: Hashtags and User Mentions Network

Twitter is described as the SMS of the internet. When key events occur, knowing the buzz from an information network such as Twitter tells you the present. Our aim is to visually analyze the association of #tags, representing a key idea, with @mentions.

  • Kuar Kah Ling
  • Meenakshi Gopalakrishnan
  • Parikshit Mayee

100px

European Football Visualization

One of the most popular sports worldwide is football. Football can be considered as the most favourite sport in the world, especially in Europe. The motivation of this project is to discover interesting findings about the top 4 leagues in Europe. (England, Spain, Italy, Germany)

  • Frandy Eddy
  • Franky Eddy
  • Aditya Hariharan
100px

IMDb

The project aims to enable the user to explore various aspects of IMDb data set through interactive visualization tools and techniques.

  • Abhinav Ghildiyal
  • Agrim Gairola
  • Vishal Bansal
100px

Cancer in U.S.


Prevention and treatment of cancers are always important issues on people's health. In our project, we would explore relationships among ages, sex, states and various cancers.


  • Li Dan
  • Wei Jingxian
  • Zhang Zhe

100px

Video Game Analytics

Vgchartz.com, is a video game sales tracking website that provides weekly sales figures of console software and hardware by region. The site was launched in June 2005 and is run by a small team of ten. Presently, users find the visualizations time consuming, difficult to comprehend and navigate.


  • Zhang Jinchuan
  • Li Nanxun
  • Chris Thng
  • Ling Jingting
100px

A View at HDB Car Parking System

The HDB car parking system in Singapore is a very mature one. This project aims to visualize this car parking system. The various types of car parking are understood and visualized. These car parking systems are broken down area-wise and block-wise and visualized using various tools and visualizations such as hierarchical tree and sunburst diagrams.

  • Arcchit Mittal
  • Mukund Krishna Ravi
  • Shishir Pravin Nehete
100px

Getting To Know Mobile Device Users

TalkingData, China’s largest third-party mobile data platform, understands that everyday choices and behaviors paint a picture of who we are and what we value. Currently, TalkingData is seeking to leverage behavioral data from more than 70% of the 500 million mobile devices active daily in China to help its clients better understand and interact with their audiences.

In this project, we are challenged to visualize users’ demographic characteristics based on their app usage, geolocation, and mobile device properties. Doing so will help millions of developers and brand advertisers around the world pursue data-driven marketing efforts which are relevant to their users and catered to their preferences.

  • Wan Xulang
  • Xu Qiuhui


Project Groups

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


Team Members
Investigation of vehicle traffic corridors using visual analytics Kishan Bharadwaj Shridhar Ong Guan Jie Jason Zhang Yanrong
Global Warming: A Tale of Rising Temperatures Angad Srivastava Akangsha Bandalkul Dipti Kalyandurgmath
S-MALL Chen Yun-Chen Chiam Zhan Peng Zheng Bijun Ghost Lin
Group 4 Akanksha Mittal Sivagamy Balamourougane Sanghavy Balamourougane
Group 5 Vincent Mack Zhi Wei Chen Xiaoqing David Ten Kao Yuan Student name Student name Student name
Group 6 HE Lingfei MAO Chenxin WANG Yingbei
Trenchcoat Detectives Anuthama Murugesan Krutika Balveer Choudhary Sumalika Kodumuru Student name Student name Student name
theArules Cao Bo Guan Yifei Zhou Yuhui
The Indian Story Luo Mandi Sandhya Vasudeva Rao Priyadarshini Majumdar Ghost Ghost Ghost
visualizeR Eric Prabowo Asmit Adgaonkar Shuo Zhang - - -
Group11 TripleY Wei Yunna Chen Yin Jue Xu Yue -- -- --
Group 12 Arunkumar Chavarukulangara Rajan Josef Carlo Exconde Sandeep Chala -- -- --
Your Team name Student name Student name Student name Student name Student name Student name
Your Team name Student name Student name Student name Student name Student name Student name
Group 15: Characterization of Pandemic Spread Chua Gim Hong Huang Liwei Ngo Siew Hui -- -- --
Group 16 Jiaqi Zhang Xintian Liu Hongjun Qian Student name Student name Student name
Your Team name Student name Student name Student name Student name Student name Student name
Group 18 - Intelligent Airlines Network Debasish Behera Manish Mittal Roger Ganga Sundaraj Student name Student name Student name
Group 13 Rishi Tandon - - - - -
Retrieved from ‘https://wiki.smu.edu.sg/1617t3isss608g1/index.php?title=Project_Groups&oldid=7796’