Difference between revisions of "ISSS608 2016-17T3 Group15 Proposal"

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[[File:Pandemicbanner.jpg|500px]]
 
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<font size = 5; color="#FFFFFF">ISSS608 Visual Analytics and Applications</font><br/>
 
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<font size = 5; color="#FFFFFF">'''Group 15 Project'''</font><br/>
 
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<font size = 5; color="#FFFFFF">Visualisation with R:</font><br/>
 
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==Project Description==
 
==Project Description==
  
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This project is based on [http://hcil2.cs.umd.edu/newvarepository/VAST%20Challenge%202010/challenges/MC2%20-%20Characterization%20of%20Pandemic%20Spread/|'''VAST Challenge 2010 – Characterisation of Pandemic Spread'''], which involves the analysis of hospital records relating to a major epidemic outbreak that spanned several cities across the world in 2009. With the use of R, our team will develop a visualisation tool to analyse the illness across these countries, so as to help characterise the spread of the disease.  
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This project is based on [http://hcil2.cs.umd.edu/newvarepository/VAST%20Challenge%202010/challenges/MC2%20-%20Characterization%20of%20Pandemic%20Spread/|'''VAST Challenge 2010 – Characterisation of Pandemic Spread'''], which involves the analysis of hospitalisation records relating to a major epidemic outbreak that spanned several cities across the world in 2009. With the use of R, the project aims to develop a visualisation tool to analyse the illness across these countries, so as to help characterise the spread of the disease.  
  
  

Revision as of 00:39, 20 June 2017

Pandemicbanner.jpg

ISSS608 Visual Analytics and Applications

Group 15 Project
Visualisation with R:
Characterisation of Pandemic Spread


Proposal

Poster

Application

Report

 


Project Title: Characterisation of Pandemic Spread

Prepared by Group 15

Team Members:

  • Chua Gim Hong
  • Huang Liwei
  • Ngo Siew Hui


Project Description

This project is based on VAST Challenge 2010 – Characterisation of Pandemic Spread, which involves the analysis of hospitalisation records relating to a major epidemic outbreak that spanned several cities across the world in 2009. With the use of R, the project aims to develop a visualisation tool to analyse the illness across these countries, so as to help characterise the spread of the disease.


Background

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Approach & Scope

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Ojectives

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Motivations

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Challenges

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Milestones & Expected Outcome

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References

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