Difference between revisions of "Assignments"

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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.
 
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 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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Air pollution is an important risk factor for health in Europe and worldwide. A recent review of the global burden of disease showed that it is one of the top ten risk factors for health globally.  Worldwide an estimated 7 million people died prematurely because of pollution; in the European Union (EU) 400,000 people suffer a premature death. The Organisation for Economic Cooperation and Development (OECD) predicts that in 2050 outdoor air pollution will be the top cause of environmentally related deaths worldwide. In addition, air pollution has also been classified as the leading environmental cause of cancer. 
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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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Air quality in Bulgaria is a big concern: measurements show that citizens all over the country breathe in air that is considered harmful to health. For example, concentrations of PM2.5 and PM10 are much higher than what the EU and the World Health Organization (WHO) have set to protect health.
 
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Bulgaria had the highest PM2.5 concentrations of all EU-28 member states in urban areas over a three-year average. For  PM10, Bulgaria is also leading on the top polluted countries with 77 μg/m3on the daily mean concentration (EU limit value is 50 μg/m3).
 
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According to the WHO, 60 percent of the urban population in Bulgaria is exposed to dangerous (unhealthy) levels of particulate matter (PM10).
 
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=The Task=
 
  
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In this assignment, you are required to use visual analytics approach to reveal spatio-temporal patterns of air quality in Sofia City and to identify issues of concern.  
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==Mini-Challenge 1==
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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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==Task 1: Spatio-temporal Analysis of Official Air Quality==
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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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Characterize the past and most recent situation with respect to air quality measures in Sofia City. What does a typical day look like for Sofia city? Do you see any trends of possible interest in this investigation?  What anomalies do you find in the official air quality dataset? How do these affect your analysis of potential problems to the environment? 
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==Mini-Challenge 2==
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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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Your submission for this questions should contain no more than 10 images and 1000 words.
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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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==Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements ==
 
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Using appropriate data visualisation, you are required will be asked to answer the following types of questions:
 
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* Characterize the sensors’ coverage, performance and operation. Are they well distributed over the entire city? Are they all working properly at all times? Can you detect any unexpected behaviors of the sensors through analyzing the readings they capture? Limit your response to no more than 4 images and 600 words.
 
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* Now turn your attention to the air pollution measurements themselves.  Which part of the city shows relatively higher readings than others?  Are these differences time dependent? Limit your response to no more than 6 images and 800 words.
 
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==Task 3==
 
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Urban air pollution is a complex issue.  There are many factors affecting the air quality of a city.  Some of the possible causes are:
 
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* Local energy sources.  For example, according to [http://unmaskmycity.org/project/sofia/ Unmask My City], a global initiative by doctors, nurses, public health practitioners, and allied health professionals dedicated to improving air quality and reducing emissions in our cities, Bulgaria’s main sources of PM10, and fine particle pollution PM2.5 (particles 2.5 microns or smaller) are household burning of fossil fuels or biomass, and transport. 
 
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* Local meteorology such as temperature, pressure, rainfall, humidity, wind etc
 
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* Local topography
 
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* Complex interactions between local topography and meteorological characteristics.
 
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* Transboundary pollution for example the haze that intruded into Singapore from our neighbours.
 
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In this third task, you are required to reveal the relationships between the factors mentioned above and the air quality measure detected in Task 1 and Task 2.  Limit your response to no more than 5 images and 600 words. 
 
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=The Data Sets=
 
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Four major data sets in zipped file format are provided for this assignment, they are:
 
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* Official air quality measurements (5 stations in the city)(EEA Data.zip) – as per EU guidelines on air quality monitoring see the data description [https://drive.google.com/file/d/1v5yCL-LdriDwa65qXPbFL7b0tydylDlb/view HERE…]
 
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* Citizen science air quality measurements (Air Tube.zip) , incl. temperature, humidity and pressure (many stations) and topography (gridded data).
 
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* Meteorological measurements (1 station)(METEO-data.zip): Temperature; Humidity; Wind speed; Pressure; Rainfall; Visibility
 
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* Topography data (TOPO-DATA)
 
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They can be download by click on this [https://storage.cloud.google.com/global-datathon-2018/sofia-air/air-sofia.zip link].
 
  
  
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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 '''11th November 2018, 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 '''13th October 2019, 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_2018-19_T1_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_AY2019-20T1_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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=Reference=
 
=Reference=
  
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==Past Assignment Page==
 +
* [https://wiki.smu.edu.sg/1617t1IS428g1/Assignment_Dropbox AY2016-2017 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]
 +
 +
==Specially mentioned==
 
* [https://wiki.smu.edu.sg/1617t1IS428g1/IS428_2016-17_Term1_Assign3_Gwendoline_Tan_Wan_Xin IS428 2016-17 Term1 Assign3 Gwendoline Tan Wan Xin]
 
* [https://wiki.smu.edu.sg/1617t1IS428g1/IS428_2016-17_Term1_Assign3_Gwendoline_Tan_Wan_Xin IS428 2016-17 Term1 Assign3 Gwendoline Tan Wan Xin]
 
* [https://wiki.smu.edu.sg/1617t1IS428g1/IS428_2016-17_Term1_Assign3_Lim_Kim_Yong IS428 2016-17 Term1 Assign3 Lim Kim Yong]  
 
* [https://wiki.smu.edu.sg/1617t1IS428g1/IS428_2016-17_Term1_Assign3_Lim_Kim_Yong IS428 2016-17 Term1 Assign3 Lim Kim Yong]  

Latest revision as of 21:54, 20 August 2019

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 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.

The assignment topics are based on VAST Challenge 2019. You are required to choose one of the challenge topic provided below and work out the solution.

Overview

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.

Mini-Challenge 1

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.

Please visit VAST Challenge 2019: Mini-Challenge 1 for more information and to download the data.

Mini-Challenge 2

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.

Please visit VAST Challenge 2019: Mini-Challenge 2 for more information and to download the data.


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 13th October 2019, 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_AY2019-20T1_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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