Difference between revisions of "Assignments"

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<font size="5">'''To be a Visual Detective'''</font>
 
<font size="5">'''To be a Visual Detective'''</font>
  
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The assignments require you to put the concepts, methods and techniques you had learned in class to solve real world problem using visual analytics techniques.  Students should also use the assignments to gain hands-on experience on using the data visualisation toolkits I had shared with you to complate the assignment.
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The assignments require you to put the concepts, methods and techniques you had learned in class to solve real world problems using visual analytics techniques.  Students should also use the assignments to gain hands-on experiences on using the data visualisation toolkits I had shared with you to complete the assignment.
  
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The assignment topics are based on [https://vast-challenge.github.io/2019/ VAST Challenge 2019].  You are required to choose one of the challenge topic provided below and work out the solution. 
 
  
 
=Overview=
 
=Overview=
  
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St. Himark is a vibrant community located in the Oceanus Sea. Home to the world-renowned St. Himark Museum, beautiful beaches, and the Wilson Forest Nature Preserve, St. Himark is one of the region’s best cities for raising a family and provides employment across a number of industries including the Always Safe Nuclear Power Plant. Well, all that was true before the disastrous earthquake that hits the area during the course of this year’s challenge. Mayor Jordan, city officials, and emergency services are overwhelmed and are desperate for assistance in understanding the true situation on the ground and how best to deploy the limited resources available to this relatively small community.
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Every two years, SMU Libraries conduct a comprehensive survey in which faculty, students and staff have the opportunity to rate various aspects of SMU library's services. The survey provides SMU libraries with input to help enhance existing services and to anticipate emerging needs of SMU faculty, students and staff.  The [https://library.smu.edu.sg/about-us/library-service-quality-survey latest survey] is currently on going and will be ended by 17th February 2020.
  
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==Mini-Challenge 1==
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The 2018 Survey Results can be found [https://library.smu.edu.sg/about/about-us/library-service-quality-survey/2018-survey-results here] and the full report is available by following this [https://library.smu.edu.sg/sites/library.smu.edu.sg/files/library/pdf/SMULibraries_BeHeardSurvey_FullReport.pdf link]. The past reports are mainly made-up of pages of tables, which are very difficult to comprehend. In view of this, your task is to apply appropriate data visualisation to transform these tables into visual representation that allow SMU libraries to gain useful insights.
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In a prescient move, the city of St. Himark released a new damage reporting mobile application shortly before the earthquake. This app allows citizens to provide more timely information to the city to help them understand damage and prioritize their response. In this mini-challenge, use app responses in conjunction with shake maps of the earthquake strength to identify areas of concern and advise emergency planners.
 
  
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Please visit [https://vast-challenge.github.io/2019/MC1.html VAST Challenge 2019: Mini-Challenge 1] for more information and to download the data.
 
  
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==Mini-Challenge 2==
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=The Task=
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While St. Himark is proud of its Always Safe nuclear power plant, it was not quite built to be compliant with the recommended safety standards developed by international organizations. The nuclear plant sustained moderate (but not life-threatening) damage during the earthquake resulting in some contamination being released. The city has installed stationary sensors which could be used to determine effected areas but they don’t cover all parts of the city. Luckily, the Himark Science Society has stepped in with citizen scientists to help crowd source this important task. Utilize these various sensors to understand which parts of the city are most effected.
 
  
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Please visit [https://vast-challenge.github.io/2019/MC2.html VAST Challenge 2019: Mini-Challenge 2] for more information and to download the data.
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In this assignment, you are required to use visual analytics approach to reveal the level of services provided by SMU libraries as perceived by:
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* the undergraduate students,
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* the postgraduate students,
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* the faculty,
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* the staff.
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Limit your findings to not more than 10 images and 1000 words per group.
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=The Dataset=
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For the purpose of this assignment, the 2018 Survey dataset will be used. You need to download the dataset from eLearn.
  
  
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=Submission details=
 
=Submission details=
  
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This is an individual assignment. You are required to work on the assignment and prepare submission individually. Your completed assignment is due on '''13th October 2019, by 11.59pm mid-night'''.
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This is an individual assignment. You are required to work on the assignment and prepare submission individually. Your completed assignment is due on '''15th March 2020 (Sunday), by 11.59pm mid-night'''.
  
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You need to edit your assignment in the appropriate wiki page of the Assignment Dropbox. The title of the wiki page should be in the form of: IS428_AY2019-20T1_Assign_FullName.
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You need to edit your assignment in the appropriate wiki page of the Assignment Dropbox. The title of the wiki page should be in the form of: IS428_AY2019-20T2_Assign_FullName.
  
 
The assignment wiki page should include the URL link to the web-based interactive data visualization system prepared.
 
The assignment wiki page should include the URL link to the web-based interactive data visualization system prepared.
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* [https://wiki.smu.edu.sg/1718t1is428g1/Assignment_Dropbox AY2017-2018 Term 1]
 
* [https://wiki.smu.edu.sg/1718t1is428g1/Assignment_Dropbox AY2017-2018 Term 1]
 
* [https://wiki.smu.edu.sg/18191is428g1/Assignment_Dropbox AY2018-2019 Term 1]
 
* [https://wiki.smu.edu.sg/18191is428g1/Assignment_Dropbox AY2018-2019 Term 1]
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* [https://wiki.smu.edu.sg/1920t1is428g1/Assignment_Dropbox AY2019-2020 Term 1]
  
 
==Specially mentioned==
 
==Specially mentioned==

Latest revision as of 21:23, 13 February 2020

Va.jpg IS428 Visual Analytics for Business Intelligence

About

Assignment Dropbox

 


To be a Visual Detective

The assignments require you to put the concepts, methods and techniques you had learned in class to solve real world problems using visual analytics techniques. Students should also use the assignments to gain hands-on experiences on using the data visualisation toolkits I had shared with you to complete the assignment.


Overview

Every two years, SMU Libraries conduct a comprehensive survey in which faculty, students and staff have the opportunity to rate various aspects of SMU library's services. The survey provides SMU libraries with input to help enhance existing services and to anticipate emerging needs of SMU faculty, students and staff. The latest survey is currently on going and will be ended by 17th February 2020.

The 2018 Survey Results can be found here and the full report is available by following this link. The past reports are mainly made-up of pages of tables, which are very difficult to comprehend. In view of this, your task is to apply appropriate data visualisation to transform these tables into visual representation that allow SMU libraries to gain useful insights.


The Task

In this assignment, you are required to use visual analytics approach to reveal the level of services provided by SMU libraries as perceived by:

  • the undergraduate students,
  • the postgraduate students,
  • the faculty,
  • the staff.

Limit your findings to not more than 10 images and 1000 words per group.


The Dataset

For the purpose of this assignment, the 2018 Survey dataset will be used. You need to download the dataset from eLearn.


Visualisation Software

To perform the visual analysis, students are encouraged to explore any one or a combination of the following software:

  • Tableau
  • JMP Pro
  • Qlik Sense
  • Microsoft Power BI

One of the goals of this assignment is for you to learn to use and evaluate the effectiveness of these visual analytics tools.


Submission details

This is an individual assignment. You are required to work on the assignment and prepare submission individually. Your completed assignment is due on 15th March 2020 (Sunday), by 11.59pm mid-night.

You need to edit your assignment in the appropriate wiki page of the Assignment Dropbox. The title of the wiki page should be in the form of: IS428_AY2019-20T2_Assign_FullName.

The assignment wiki page should include the URL link to the web-based interactive data visualization system prepared.


Reference

Past Assignment Page

Specially mentioned


Assignment Q&A

Need more clarification, please feel free to pen down your questions.

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