Difference between revisions of "Project Groups"

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[[ISSS608_2016_17T1_Group1|SG Bus Data]]
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[[File:SGBus.jpg|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016_17T1_Group1_Proposal]]
 
||
 
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'''Transport Data retreiven from EZlink'''
+
'''Transport Data from EZlink'''
−
With the increase in population and frequency of train breakdowns, it is important to understand the usage of our bus network and how people move around the island.
+
 
 +
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.
  
  
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*[[ISSS608_2016_17T1_Group1_Proposal|Proposal]]
 
*[[ISSS608_2016_17T1_Group1_Proposal|Proposal]]
 
*[[ISSS608_2016_17T1_Group1_Poster|Poster]]
 
*[[ISSS608_2016_17T1_Group1_Poster|Poster]]
−
*[[ISSS608_2016_17T1_Group1_Application|Application]]
 
 
*[[ISSS608_2016_17T1_Group1_Report|Report]]
 
*[[ISSS608_2016_17T1_Group1_Report|Report]]
 +
 
||
 
||
 
* Raymond Goh
 
* Raymond Goh
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|-
 
|-
 
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[[ISSS608 2016-17 T1 Project Team 3|Team 3]]
+
[[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'''
 
'''A Peek into University Ranking - A Visualization'''
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|-
 
|-
 
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 +
[[image:DashboardViz_logo.jpg|100px]]
 
[[ISSS608_2016_17T1_Group5|Team 5]]
 
[[ISSS608_2016_17T1_Group5|Team 5]]
 
||
 
||
−
E-commerce Marketing Dashboard
+
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.
−
 
 
−
xxxxxxxxxxxxxxxxxxxxxxxxx
 
  
 
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[[File:threetify_logo2.png|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016_17T1_Group6]]
 
[[File:threetify_logo2.png|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016_17T1_Group6]]
 
||
 
||
−
'''Team 6'''
+
'''Visualising Terrorism'''
  
−
Visualisation exploration on the effect of Internet on global terrorism attacks.
+
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_Proposal|Proposal]]
 
*[[ISSS608_2016_17T1_Group6_Poster|Poster]]
 
*[[ISSS608_2016_17T1_Group6_Poster|Poster]]
−
*[[ISSS608_2016_17T1_Group6_Application|Application]]
+
*[https://threetify.github.io/welcome/ Application]
−
*[[ISSS608_2016_17T1_Group6_Report|Report]]
+
*[[ISSS608_2016_17T1_Group6_Project_Report|Report]]
 
||
 
||
 
* Xi Qiuyun
 
* Xi Qiuyun
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|-
 
|-
 
||
 
||
−
[[ISSS608_2016_17T1_Group4|Team 4]]
+
[[File:Rplot06 1.png|100px]]
 +
[[ISSS608_2016_17T1_Group4|AnalyTweets]]
 
||
 
||
−
'''Team 4'''
+
'''Visualising Twitter: Hashtags and User Mentions Network'''
  
−
TBC
+
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.
  
 
||
 
||
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*[[ISSS608_2016_17T1_Group4_Report|Report]]
 
*[[ISSS608_2016_17T1_Group4_Report|Report]]
 
||
 
||
−
* Parikshit Ravindra Mayee
+
* Kuar Kah Ling
 
* Meenakshi Gopalakrishnan
 
* Meenakshi Gopalakrishnan
−
* Kuar Kah Ling
+
* Parikshit Mayee
−
 
 
 
|-
 
|-
 
||
 
||
−
[[ISSS608_2016_17T1_Group14|Team 14]]
+
[[File:ProjectGroup14.png|100px|frameless| link=https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016_17T1_Group14_Proposal]]
 
||
 
||
−
'''Team 14'''
+
'''European Football Visualization'''
  
−
TBC
+
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)
  
 
||
 
||
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|-
 
|-
 
||
 
||
−
[[ISSS608 2016-17 T1 Project Team 2|Team 2]]
+
[[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.'''
 
'''Cancer in U.S.'''
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||
 
||
  
−
*[[ISSS608 2016-17 T1 Project Team 2|Proposal]]
+
*[[ISSS608_2016_17T1_Group2_Proposal|Proposal]]
 
*[[ISSS608_2016_17T1_Group2_Poster|Poster]]
 
*[[ISSS608_2016_17T1_Group2_Poster|Poster]]
 
*[[ISSS608_2016_17T1_Group2_Application|Application]]
 
*[[ISSS608_2016_17T1_Group2_Application|Application]]
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|-
 
|-
−
|}
+
||
 +
[[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.
  
  
−
{| class="wikitable centered" width="90%"
+
||
−
!Team
+
 
−
!colspan="18"|Members
+
*[[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
  
 
|-
 
|-
−
|width="10%"|<!-- Team --> [[Law403G1|TBC]]
+
 
−
|colspan="3"|<!-- First team member  --> Raymond Goh
+
||
−
|colspan="3"|<!-- Second team member --> Strong Shanna Elizabeth
+
[[File:Signboard-hdb.jpg|100px|center]]
−
|colspan="3"|<!-- Third team member -->  Kee Bei Jia
+
 
−
|-
+
||
−
|width="10%"|<!-- Team --> [[Law403G4|Team 2 - TBC]]
+
 
−
|colspan="3"|<!-- Fourth team member --> Li Dan
+
'''A View at HDB Car Parking System'''
−
|colspan="3"|<!-- Fifth team member --> Wei Jingxian
+
 
−
|colspan="3"|<!-- Sixth team member --> Zhang Zhe
+
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.
−
|-
+
||
−
|width="10%"|<!-- Team --> [[Law403G3|Team 3 - TBC]]
+
 
−
|colspan="3"|<!-- First team member  --> Ho Li Chin
+
*[[ISSS608_2016_17 T1 Project Team 12_Project Home Page|Project Home Page]]
−
|colspan="3"|<!-- Second team member --> Thian Fong Mei, Christine
+
*[[ISSS608_2016_17 T1 Project_Team_12_Proposal|Proposal]]
−
|colspan="3"|<!-- Third team member -->  Alvin Yuen
+
*[[ISSS608_2016_17 T1 Project_Team_12_Poster|Poster]]
−
|-
+
*[[ISSS608_2016_17 T1 Project_Team_12_Application|Application]]
−
|width="10%"|<!-- Team --> [[Law403G12|Team 4]]
+
*[[ISSS608_2016_17 T1 Project_Team_12_Report|Report]]
−
|colspan="3"|<!-- Fourth team member --> Parikshit Ravindra Mayee
+
||
−
|colspan="3"|<!-- Fifth team member --> Meenakshi Gopalakrishnan
+
 
−
|colspan="3"|<!-- Sixth team member --> Kuar Kah Ling
+
* Arcchit Mittal
−
|-
+
* Mukund Krishna Ravi
−
|width="10%"|<!-- Team --> [[Law403G2|TBC]]
+
* Shishir Pravin Nehete
−
|colspan="3"|<!-- Fourth team member --> Serene Su
+
 
−
|colspan="3"|<!-- Fifth team member --> Bing
 
−
|colspan="3"|<!-- Sixth team member -->
 
−
|-
 
−
|width="10%"|<!-- Team --> [[Law403G5| Group 5 (E-commerce Marketing Dashboard)]]
 
−
|colspan="3"|<!-- First team member --> Vaishnavi A M S
 
−
|colspan="3"|<!-- Second team member --> Lee Gwo Mey
 
−
|colspan="3"|<!-- Third team member --> Prasongthanakit Kanokkorn (Lin)
 
−
|-
 
−
|width="10%"|<!-- Team --> [[ISSS608_Team_6|Team 6]]
 
−
|colspan="3"|<!-- First team member --> Xi Qiuyun
 
−
|colspan="3"|<!-- Second team member --> Liu Jialin
 
−
|colspan="3"|<!-- Third team member --> Lim Hui Ting Jaclyn
 
−
|-
 
−
|width="10%"|<!-- Team --> [[Law403G7|Team 7]]
 
−
|colspan="3"|<!-- First team member --> Wan Xulang
 
−
|colspan="3"|<!-- Second team member --> Xu Qiuhui
 
−
|colspan="3"|<!-- Third team member -->
 
−
|-
 
−
|width="10%"|<!-- Team --> [[ISSS608 2016-17 T1 Project Team 8|Team 8]]
 
−
|colspan="3"|<!-- Fourth team member --> YE JIATAO
 
−
|colspan="3"|<!-- Fifth team member --> YANG YUWEI
 
−
|colspan="3"|<!-- Sixth team member --> CHEN YIFAN
 
−
|-
 
−
|width="10%"|<!-- Team --> [[Law403G9|GOT_Career]]
 
−
|colspan="3"|<!-- First team member  --> ZHANG JINCHUAN
 
−
|colspan="3"|<!-- Second team member --> LI NANXUN
 
−
|colspan="3"|<!-- Third team member -->  CHRIS THNG
 
−
|-
 
−
|width="10%"|<!-- Team --> [[Law403G10|Team 10]]
 
−
|colspan="3"|<!-- First team member --> Wesley
 
−
|colspan="3"|<!-- Second team member --> Cheryl Lee
 
−
|colspan="3"|<!-- Third team member --> Linda Teo Kwee Ang
 
−
|-
 
−
|width="10%"|<!-- Team --> [[ISSS608 2016-17 T1 Project Team 11|Team 11]]
 
−
|colspan="3"|<!-- First team member  --> Chia Yong Jian
 
−
|colspan="3"|<!-- Second team member --> Nguyen Tien Duong
 
−
|colspan="3"|<!-- Third team member -->  Ong Han Ying
 
−
|-
 
−
|width="10%"|<!-- Team --> [[Law403G13|Your Team name]]
 
−
|colspan="3"|<!-- First team member  --> Student name
 
−
|colspan="3"|<!-- Second team member --> Student name
 
−
|colspan="3"|<!-- Third team member -->  Student name
 
−
|-
 
−
|width="10%"|<!-- Team --> [[Law403G13|Your Team name]]
 
−
|colspan="3"|<!-- First team member  --> Student name
 
−
|colspan="3"|<!-- Second team member --> Student name
 
−
|colspan="3"|<!-- Third team member -->  Student name
 
−
|-
 
−
|width="10%"|<!-- Team --> [[Law403G14|Team 14]]
 
−
|colspan="3"|<!-- Fourth team member --> Franky Eddy
 
−
|colspan="3"|<!-- Fifth team member -->  Frandy Eddy
 
−
|colspan="3"|<!-- Sixth team member -->  Aditya Hariharan
 
 
|-
 
|-
 +
||
 +
[[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
 
|}
 
|}

Latest revision as of 22:25, 28 November 2016

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

SGBus.jpg

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

TeamA lg.png

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

Group8 icon.png

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

DashboardViz logo.jpg 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

Threetify logo2.png

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

Rplot06 1.png 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

ProjectGroup14.png

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
Imdbtop250.jpg

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
8-1405231122100-L.jpg

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

ISSS608 1617 project team1 logo.png

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
Signboard-hdb.jpg

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
Team7-project-icon.png

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
Retrieved from ‘https://wiki.smu.edu.sg/1617t1ISSS608g1/index.php?title=Project_Groups&oldid=9668’