Difference between revisions of "ISSS608 2016-17 T3 Assign XU YUE"

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==Objectives==
 
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With the massive amount of data being collected by the various sensors, there's definitely no way any GAStech employee can deal with the data to discover relationships or patterns without using any visualization tools. Hence, using all the visualization and analytical technique that I have learned in class, I aim to create an interactive data visualization to help GAStech management to be able to see patterns/identify anomalies/connections to better understand its operations in order to make better and informed decision.
 
  
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With this interactive visualization, departments such as Security will be able to keep track of employee movements within the building to ensure that they are safe and also to prevent any unauthorized access to areas/zones that are prohibited. Furthermore, facility managers and executives could possibly identify areas that can improve the office environment such as to save costs and also to provide a conducive working environment for all GAStech employees.
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==Mini-Challenge 1 : Traffic Patterns of Life through the Preserve ==
  
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==Information Gathering==
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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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Looking at the given description of this challenge, there are some key information mentioned that are helpful and critical for my investigation.
 
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*Staff members are required to wear proximity (prox) cards while in the building.
 
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*The building is instrumented with passive prox card readers that cover individual building zones.
 
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*Rosie – a free robotic mail delivery system is equipped with a mobile prox sensor, which identifies the prox cards in the areas she travels through.
 
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Based on the given data, like any visualization processes, it is imperative and critical to understand and look through the data before using any visualization software. I will be using Tableau as my visualization software and there are some work to be done on the given datasets before I plot my visualizations.
 
  
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Objectives:
  
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Based on the information gathered above, the typical day for GAStech employees, in all departments:
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*“Patterns of Life” analyses depend on recognizing repeating patterns of activities by individuals or groups. Describe up to six daily patterns of life by vehicles traveling through and within the park.  
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#Employees start entering into the building at 7am. By 9am, majority of the employees would have already reached their compartment/office.
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*Patterns of Life analyses may also depend on understanding what patterns appear over longer periods of time (in this case, over multiple days). Describe up to six patterns of life that occur over multiple days (including across the entire data set) by vehicles traveling through and within the park.
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#Lunch break is usually in between 12pm to 2pm.
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*Unusual patterns may be patterns of activity that changes from an established pattern, or are just difficult to explain from what you know of a situation. Describe up to six unusual patterns (either single day or multiple days) and highlight why you find them unusual. Please limit your answer to six images and 500 words.
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#By 2pm, most of the employees will be back as observed by the large amount of movements/activities occurring during that period in all level of floors.
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*What are the top 3 patterns you discovered that you suspect could be most impactful to bird life in the nature preserve?
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#Employees typically ends work at around 5-6pm.
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#After 6pm, most of the departments would have left except employees from the Facilities,Engineering and IT department.
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#After 7pm, employees working in level 3, mainly executives, would have left the office.
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#At 12am, most of the employees would have left the building except for Facilities department who are on 24-hour rotational shift.
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==Data Preparation==
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#It is always the same people in facilities department that perform the night shift(Employee Stenig and Varja are found in Floor 1 as their offices are located in that floor).
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==Dataset Analysis==
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# Most GAStech employees do not work during the weekends. However, a few of the employees from the administration department came back during the weekends and work from 8am onwards till latest 3pm.
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==Visualization==
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# Some Employees from the Engineering & IT departments often stay till 11pm-12am.
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==Pattern & Anomalous Observations==
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'''Typical Patterns in Proximity Card Data'''
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Using the dashboard as a platform for investigation and analysis, the following aims to provide answers to the questions posed.
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''' Q1: Describe up to six daily patterns of life by vehicles traveling through and within the park'''
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# pattern 1
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# pattern 2
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''' Q2: Describe up to six patterns of life that occur over multiple days by vehicles traveling through and within the park.'''
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# pattern 1
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# pattern 2
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''' Q3:  Describe up to six unusual patterns (either single day or multiple days) and highlight why you find them unusual'''
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# pattern 1
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# pattern 2
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''' Q4:  What are the top 3 patterns you discovered that you suspect could be most impactful to bird life in the nature preserve? '''
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# pattern 1
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# pattern 2
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==Reference==

Revision as of 11:10, 2 July 2017

Mini-Challenge 1 : Traffic Patterns of Life through the Preserve

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.

Objectives:

  • “Patterns of Life” analyses depend on recognizing repeating patterns of activities by individuals or groups. Describe up to six daily patterns of life by vehicles traveling through and within the park.
  • Patterns of Life analyses may also depend on understanding what patterns appear over longer periods of time (in this case, over multiple days). Describe up to six patterns of life that occur over multiple days (including across the entire data set) by vehicles traveling through and within the park.
  • Unusual patterns may be patterns of activity that changes from an established pattern, or are just difficult to explain from what you know of a situation. Describe up to six unusual patterns (either single day or multiple days) and highlight why you find them unusual. Please limit your answer to six images and 500 words.
  • What are the top 3 patterns you discovered that you suspect could be most impactful to bird life in the nature preserve?


Data Preparation

Dataset Analysis

Visualization

Pattern & Anomalous Observations

Using the dashboard as a platform for investigation and analysis, the following aims to provide answers to the questions posed.

Q1: Describe up to six daily patterns of life by vehicles traveling through and within the park

  1. pattern 1
  2. pattern 2

Q2: Describe up to six patterns of life that occur over multiple days by vehicles traveling through and within the park.

  1. pattern 1
  2. pattern 2

Q3: Describe up to six unusual patterns (either single day or multiple days) and highlight why you find them unusual

  1. pattern 1
  2. pattern 2

Q4: What are the top 3 patterns you discovered that you suspect could be most impactful to bird life in the nature preserve?

  1. pattern 1
  2. pattern 2

Reference

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