Difference between revisions of "ISSS608 2016-17 T3 Assign GUAN YIFEI"

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[[ISSS608_2016-17_T3_Assign_GUAN_YIFEI|<b><font color="#BC8F8F">Background</font></b>]]
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[[ISSS608_2016-17_T3_Assign_GUAN_YIFEI_Data_Preparation|<b><font color="#BC8F8F">Methodology & Data Preparation</font></b>]]
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[[ISSS608_2016-17_T3_Assign_GUAN_YIFEI_Data_Preparation|<b><font size="2"><font color="#BC8F8F">Methodology & Dashboard Design</font></font></b>]]
  
 
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[[ISSS608_2016-17_T3_Assign_GUAN_YIFEI_Visualization|<b><font color="#BC8F8F">Insights</font></b>]]
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[[ISSS608_2016-17_T3_Assign_GUAN_YIFEI_Visualization|<b><font size="2"><font color="#BC8F8F">Insights</font></font></b>]]
  
 
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[[ISSS608_2016-17_T3_Assign_GUAN_YIFEI_Conclusion| <b><font color="#BC8F8F">Conclusion</font></b>]]
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[[ISSS608_2016-17_T3_Assign_GUAN_YIFEI_Conclusion| <b><font size="2"><font color="#BC8F8F">Conclusion</font></font></b>]]
  
 
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<font size="5">'''To be a Visual Detective'''</font>
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<font size="5"><font color="#8B4513">'''To be a Visual Detective'''</font></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 assignment topics are based on VAST Challenge 2017.  You are required to choose one of the challenge topic provided below and work out the solution. 
 
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=Overview=
 
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Mistford is a mid-size city is located to the southwest of a large nature preserve. The city has a small industrial area with four light-manufacturing endeavors.  Mitch Vogel is a post-doc student studying ornithology at Mistford College and has been discovering signs that the number of nesting pairs of the Rose-Crested Blue Pipit, a popular local bird due to its attractive plumage and pleasant songs, is decreasing! The decrease is sufficiently significant that the Pangera Ornithology Conservation Society is sponsoring Mitch to undertake additional studies to identify the possible reasons. Mitch is gaining access to several datasets that may help him in his work, and he has asked you (and your colleagues) as experts in visual analytics to help him analyze these datasets.
 
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==Mini-Challenge 1==
 
 
The Boonsong Lekagul Nature Preserve is used by local residents and tourists for day-trips, overnight camping or sometimes just passing through to access main thoroughfares on the opposite sides of the preserve.  The entrance booths of the preserve are monitored in order to generate revenue as well as monitor usage.  Vehicles entering and exiting the preserve must pay a fee based on their number of axles (personal auto, recreational trailer, semi-trailer, etc.).  This generates a data stream with entry/exit timestamps and vehicle type. There are also other locations in the part that register traffic passing through. While hiking through the various parts of the preserve, Mitch has noticed some odd behaviors of vehicles that he doesn’t think are consistent with the kinds of park visitors he would expect. If there were some way that Mitch could analyze the behaviors of vehicles through the park over time, this may assist him in his investigations.
 
The Boonsong Lekagul Nature Preserve is used by local residents and tourists for day-trips, overnight camping or sometimes just passing through to access main thoroughfares on the opposite sides of the preserve.  The entrance booths of the preserve are monitored in order to generate revenue as well as monitor usage.  Vehicles entering and exiting the preserve must pay a fee based on their number of axles (personal auto, recreational trailer, semi-trailer, etc.).  This generates a data stream with entry/exit timestamps and vehicle type. There are also other locations in the part that register traffic passing through. While hiking through the various parts of the preserve, Mitch has noticed some odd behaviors of vehicles that he doesn’t think are consistent with the kinds of park visitors he would expect. If there were some way that Mitch could analyze the behaviors of vehicles through the park over time, this may assist him in his investigations.
  
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Please visit [http://vacommunity.org/VAST+Challenge+2017+MC1 VAST Challenge 2017: Mini-Challenge 1] for more information and to download the data.
 
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==Mini-Challenge 2==
 
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The four factories in the industrial area are subjected to higher-than-usual environmental assessment, due to their proximity to both the city and the preserve. Gaseous effluent data from several sampling stations has been collected over several months, along with meteorological data (wind speed and direction), that could help Mitch understand what impact these factories may be having on the Rose-Crested Blue Pipit. These factories are supposed to be quite compliant with recent years’ environmental regulations, but Mitch has his doubts that the actual data has been closely reviewed. Could visual analytics help him understand the real situation?
 
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Please visit [http://vacommunity.org/VAST+Challenge+2017+MC2 VAST Challenge 2017: Mini-Challenge 2].
 
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==Mini-Challenge 3==
 
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As Mitch works independently, he realizes that he cannot continually visit all areas of the preserve to inspect for environmental impacts as well as he would like to. He realizes that his analysis would be incomplete without thorough surveillance and knowledge of the preserve health over time. Fortunately, Mitch has acquired data from some commercial multi-spectral imagers that have been routinely covering the nature preserve every few weeks. Mitch believes that a visual analytics approach can help him achieve an understanding of the preserve health and alert him to possible conditions that may be impacting his birds.
 
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Please visit [http://vacommunity.org/VAST+Challenge+2017+MC3 VAST Challenge 2017: Mini-Challenge 3] for more information and to download the data.
 
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==Grand Challenge==
 
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Mitch realizes that explorations into each of these three areas (covered by the mini-challenges) will reveal important, enlightening information. However, could there be relationships among discoveries made across two or even all of the investigations that could reveal even more about what is happening across the nature preserve and how it is happening. Mitch remembers that you mentioned to him how important it is to analyze not only what is happening, but the entire range of “who-what-where-why-when- and –how”. This understanding will enable him to pursue positive steps in helping to save the Rose-Crested Blue Pipit. 
 
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Please visit [http://vacommunity.org/VAST+Challenge+2017+Grand+Challenge VAST Challenge 2017: Grand Challenge] for more information and to download the data.
 
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=Visualisation Software=
 
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To perform the visual analysis, students are encouraged to explore any one or a combination of the following software:
 
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*Tableau
 
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*JMP Pro
 
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*Qlik Sense
 
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*Microsoft Power BI
 
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One of the goals of this assignment is for you to learn to use and evaluate the effectiveness of these visual analytics tools.
 
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=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 '''7th July 2017, 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: ISS608_2016-17_T3_Assign_FullName.
 
  
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The assignment wiki page should include the URL link to the web-based interactive data visualization system prepared.
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==Mini Challenge 1 Background==
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View the interactive Tableau design here: [https://public.tableau.com/profile/yifei2012#!/vizhome/Updated1/VASTChallenge2017MC1 Link to tableau dashboard]
  
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<br> <b> Before we start, what do you need to know? </b>
  
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=Reference=
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1. The Gates
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<br>Based on the data description and reserve map, the restricted gates are highlighted in red.
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<p>[[File:GYF_the_gates.png|600px|center]]</p>
  
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==Past assignment by ISSS608 students==
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2. The time
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* [https://wiki.smu.edu.sg/1617t1ISSS608g1/ISSS608_2016-17_T1_Assign3_Ong_Han_Ying ISSS608_2016-17_T1_Assign3_Ong_Han_Ying]
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<p>[[File:GYF_timeframe.png|250px|center]]</p>
  
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==Past assignment by IS428 students==
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3. The Cars
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* [https://wiki.smu.edu.sg/1617t1IS428g1/IS428_2016-17_Term1_Assign3_Gwendoline_Tan_Wan_Xin IS428 2016-17 Term1 Assign3 Gwendoline Tan Wan Xin]
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<p>[[File:gyf_cars.png|200px|center]]</p>
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* [https://wiki.smu.edu.sg/1617t1IS428g1/IS428_2016-17_Term1_Assign3_Lim_Kim_Yong IS428 2016-17 Term1 Assign3 Lim Kim Yong]  
 
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* [https://wiki.smu.edu.sg/1617t1IS428g1/IS428_2016-17_Term1_Assign3_Tan_Kee_Hock IS428 2016-17 Term1 Assign3 Tan Kee Hock]
 
  
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4. The Visitors
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The visitors were segmented as follows based on the nature of their movements in the reserve.
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<p>[[File:gyf_m_1.png|400px|center]]</p>
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The graph below shows the composition of each cluster by car types.
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<p>[[File:gyf_m_10.png|400px|center]]</p>
  
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=Assignment Q&A=
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5. The Data
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<br> Timestamp:  the date and time the sensor reading was taken
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<br> Car-id:  the assigned car ID from the entry gate
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<br>Car-type: Vehicle type as enumerated above.  “P” is appended when it is a park vehicle
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<br>Gate-name:  name of the sensors taking the reading.  See the map
  
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Need more clarification, please feel free to pen down your questions.
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6. The Reserve Map
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<p>[[File:gyf_map_background.png|450px|center]]</p>

Latest revision as of 22:21, 13 July 2017

TRIO.jpg VAST Challenge 2017:Mystery at the Wildlife Preserve

Background

Methodology & Dashboard Design

Insights

Conclusion

 


To be a Visual Detective

The Boonsong Lekagul Nature Preserve is used by local residents and tourists for day-trips, overnight camping or sometimes just passing through to access main thoroughfares on the opposite sides of the preserve. The entrance booths of the preserve are monitored in order to generate revenue as well as monitor usage. Vehicles entering and exiting the preserve must pay a fee based on their number of axles (personal auto, recreational trailer, semi-trailer, etc.). This generates a data stream with entry/exit timestamps and vehicle type. There are also other locations in the part that register traffic passing through. While hiking through the various parts of the preserve, Mitch has noticed some odd behaviors of vehicles that he doesn’t think are consistent with the kinds of park visitors he would expect. If there were some way that Mitch could analyze the behaviors of vehicles through the park over time, this may assist him in his investigations.


Mini Challenge 1 Background

View the interactive Tableau design here: Link to tableau dashboard


Before we start, what do you need to know?

1. The Gates
Based on the data description and reserve map, the restricted gates are highlighted in red.

GYF the gates.png

2. The time

GYF timeframe.png

3. The Cars

Gyf cars.png

4. The Visitors The visitors were segmented as follows based on the nature of their movements in the reserve.

Gyf m 1.png

The graph below shows the composition of each cluster by car types.

Gyf m 10.png

5. The Data
Timestamp: the date and time the sensor reading was taken
Car-id: the assigned car ID from the entry gate
Car-type: Vehicle type as enumerated above. “P” is appended when it is a park vehicle
Gate-name: name of the sensors taking the reading. See the map

6. The Reserve Map

Gyf map background.png

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