Difference between revisions of "ISSS608 2016-17 T3 Assign HE LINGFEI"

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<font size = 5; color="#FFFFFF">VAST MINI CHALLENGE 1</font>
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<font size = 5; span style="font-family:Arial; color:#FFFFFF">ISSS608 2016-17 Assignment 2 - HE LINGFEI</font>
 
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[[ISSS608 2016-17 T3 HE LINGFEI INTRODUCTION| <font color="#FFFFFF">Introduction</font>]]
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[[ISSS608 2016-17 T3 Assign2 HE LINGFEI| <font color="#FFFFFF"><big><big>About</big></big></font>]]
  
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[[ISSS608 2016-17 T3 HE LINGFEI DATA EXPLORATION| <font color="#FFFFFF">Data Exploration</font>]]
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[[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Summary| <font color="#000000">Executive Summary</font>]]
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[[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Introduction| <font color="#000000">Introduction</font>]]
  
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[[ISSS608 2016-17 T3 HE LINGFEI VISUALIZATIONS| <font color="#FFFFFF">Visualizations</font>]]
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[[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Data Preparation| <font color="#000000">Data Preparation</font>]]
  
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[[ISSS608 2016-17 T3 HE LINGFEI INSIGHTS| <font color="#FFFFFF">Insights</font>]]
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[[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Approach| <font color="#000000">Approach</font>]]
  
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[[ISSS608 2016-17 T3 HE LINGFEI CONCLUSIONS| <font color="#FFFFFF">Conclusion</font>]]
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[[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Results| <font color="#000000">Results</font>]]
  
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[[ISSS608 2016-17 T3 HE LINGFEI REFERENCES| <font color="#FFFFFF">References</font>]]
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[[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Conclusion| <font color="#000000">Conclusion</font>]]
  
 
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<font span style="font-family:Arial; font-size:225%"> Welcome </font>
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This Wikipedia section is both a logbook & a report of the author's thought process & preparation work for ISSS608-608 2016-17 T3 Assignment 2 - "Data Discovery in High-dimensional Data: Visual Analytics Techniques and Methods". This layout is selected (instead of presenting everything in a single page) so as to
  
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#Guide the audience systematically through the author's thought process<br>
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#Reducing scrolling within a single Wikipedia page for the audience
  
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==About the VAST Challenge==
 
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The Visual Analytics Science and Technology (VAST) Challenge is an annual contest with the goal of advancing the field of visual analytics through competition. The VAST Challenge is designed to help researchers understand how their software would be used in a novel analytic task and determine if their data transformations, visualizations, and interactions would be beneficial for particular analytic tasks. VAST Challenge problems provide researchers with realistic tasks and data sets for evaluating their software, as well as an opportunity to advance the field by solving more complex problems.
 
  
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Researchers and software providers have repeatedly used the data sets from throughout the life of the VAST Challenge as benchmarks to demonstrate and test the capabilities of their systems. The ground truth embedded in the data sets has helped researchers evaluate and strengthen the utility of their visualizations.
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'''Note:'''The author has '''completed''' her analysis work. Thus, any feedbacks are greatly appreciated. Readers of this logbook are welcome to leave a comment in area of improvement [[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Comment|<big>'''here'''</big>]].  
  
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The VAST Challenge 2017 presents three mini-challenges and a grand challenge for you to apply your visual analytics research and technologies to help a sad state of affairs in a wildlife preserve.
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<font span style="font-family:Arial; font-size:225%"> How it Works? </font><br>
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The assignment is made up of 6 sections(excluding this page), which follows the thought process and preparation flow by the author. The objective of each of the section, is as shown below;
  
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These challenges are open to participation by individuals and teams in industry, government, and academia. We encourage your submissions and look forward to seeing your innovative approaches to solving these challenges using visual analytics.
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'''Note:''': All of the related dashboards & storyboards are also consolidated in this website : [https://hanyingong.github.io/ISSS608-Assignment2/ <big><big>'''ISSS608 - Assign2 by HE LINGFEI (On Github)'''</big></big>].  
  
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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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! Section Name !! Description !! Link
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Executive Summary
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A short page that provide a summary of the analysis and report
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[[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Summary]]
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|Introduction || An introduction to the general approach towards the assignment, and the rationale of the approach. || [[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Introduction]]
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| Data Preparation || The thought process and a description of the actual work, to prepare the original dataset such that it is ready for analysis work.<br>'''Note:''' This section is made up of 2 Sub-Sections, to guide the readers throughout the thought process. || [[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Data Preparation]]
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| Approach || The general approach of designing the visualization, the selection of visualization tools, graphics & interactive elements, the rationale for the final selection.<br>'''Note:''' This section is made up of 4 Sub-Sections, to guide the readers throughout the thought process. ||[[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Approach]]
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| Results || A showcase of the final storyboards & dashboard. <br>'''Note:''' This section is made up of 5 sub-sections, to guide the readers throughout the thought process. || [[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Results]]
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| Conclusion || A summary of potential future work, and conclusion of this report/assignment.|| [[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Conclusion]]
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==Mini Challenge 1==
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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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[[ISSS608 2016-17 T3 Assign2 HE LINGFEI - Summary|<big><div align="right"><font color="#0B5345">'''Next Section: Executive Summary'''</font></div></big>]]

Revision as of 20:51, 4 July 2017

120px ISSS608 2016-17 Assignment 2 - HE LINGFEI

About

Executive Summary

Introduction

Data Preparation

Approach

Results

Conclusion

 

Welcome

This Wikipedia section is both a logbook & a report of the author's thought process & preparation work for ISSS608-608 2016-17 T3 Assignment 2 - "Data Discovery in High-dimensional Data: Visual Analytics Techniques and Methods". This layout is selected (instead of presenting everything in a single page) so as to

  1. Guide the audience systematically through the author's thought process
  2. Reducing scrolling within a single Wikipedia page for the audience


Note:The author has completed her analysis work. Thus, any feedbacks are greatly appreciated. Readers of this logbook are welcome to leave a comment in area of improvement here.


How it Works?
The assignment is made up of 6 sections(excluding this page), which follows the thought process and preparation flow by the author. The objective of each of the section, is as shown below;

Note:: All of the related dashboards & storyboards are also consolidated in this website : ISSS608 - Assign2 by HE LINGFEI (On Github).

Section Name Description Link

Executive Summary

A short page that provide a summary of the analysis and report

ISSS608 2016-17 T3 Assign2 HE LINGFEI - Summary

Introduction An introduction to the general approach towards the assignment, and the rationale of the approach. ISSS608 2016-17 T3 Assign2 HE LINGFEI - Introduction
Data Preparation The thought process and a description of the actual work, to prepare the original dataset such that it is ready for analysis work.
Note: This section is made up of 2 Sub-Sections, to guide the readers throughout the thought process.		 ISSS608 2016-17 T3 Assign2 HE LINGFEI - Data Preparation
Approach The general approach of designing the visualization, the selection of visualization tools, graphics & interactive elements, the rationale for the final selection.
Note: This section is made up of 4 Sub-Sections, to guide the readers throughout the thought process.		 ISSS608 2016-17 T3 Assign2 HE LINGFEI - Approach
Results A showcase of the final storyboards & dashboard.
Note: This section is made up of 5 sub-sections, to guide the readers throughout the thought process.		 ISSS608 2016-17 T3 Assign2 HE LINGFEI - Results
Conclusion A summary of potential future work, and conclusion of this report/assignment. ISSS608 2016-17 T3 Assign2 HE LINGFEI - Conclusion

Next Section: Executive Summary

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