Difference between revisions of "ISSS608 2017-18 T1 Assign MATILDA TAN YING XUAN"

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<u>Introduction</u><br>
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<h2> Introduction </h2><br>
 
A mysterious illness with flu-like symptoms is spreading in Smartpolis, and the authorities have provided the following information for the deduction of the channel through which the illness is spread, and also whether emergency personnel needs to be deployed outside the affected areas.
 
A mysterious illness with flu-like symptoms is spreading in Smartpolis, and the authorities have provided the following information for the deduction of the channel through which the illness is spread, and also whether emergency personnel needs to be deployed outside the affected areas.
  
<u>Dataset 1 - Microblog entries (1023077 observations)</u><br>
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 +
<b>Dataset 1 - Microblog entries (1023077 observations) </b><br>
 
Variables available:
 
Variables available:
 
<ul>1) User ID</ul>
 
<ul>1) User ID</ul>
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<ul>4) Content of post</ul>
 
<ul>4) Content of post</ul>
  
<u>Dataset 2 - Population Data (13 observations for the thirteen towns)</u><br>
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<b>Dataset 2 - Population Data (13 observations for the thirteen towns) </b><br>
 
Variables available:
 
Variables available:
 
<ul>1) Town name</ul>
 
<ul>1) Town name</ul>
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<ul>4) Daytime population</ul>
 
<ul>4) Daytime population</ul>
  
<u>Dataset 3 - Weather Data (21 entries for the 21 days in the timeperiod observed)</u><br>
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<b>Dataset 3 - Weather Data (21 entries for the 21 days in the timeperiod observed) </b><br>
 
Variables available:
 
Variables available:
 
<ul>1) Date</ul>
 
<ul>1) Date</ul>
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<ul>4) Weather</ul>
 
<ul>4) Weather</ul>
  
The link to the tableau workbook solution (in the story tab) is as follows: https://public.tableau.com/views/VisualAnalyticsAssignment-VASTMC12011/Story?:embed=y&:display_count=yes&publish=yes
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<h2> Tableau workbook </h2>
 +
The link to the tableau workbook solution (in the story tab) is as follows: <br>
 +
https://public.tableau.com/views/VisualAnalyticsAssignment-VASTMC12011/Story?:embed=y&:display_count=yes&publish=yes
 +
 
 +
 
 +
<h2>Resources and acknowledgements</h2>
 +
 
 +
<h6>Software used</h6>
 +
<li>JMP Pro 13</li>
 +
<li>Tableau Desktop 10.3</li>
 +
<li>Python (for text processing</li>
 +
 
 +
 
 +
<h6>Books used</h6>
 +
<li>Bird, S., Klein,E., Loper,E. (2009) Natural Language Processing with Python. Sebastapol, CA: O Reilly Media</li>
 +
 
 +
 
 +
<h6>Acknowledgements</h6>
 +
<li>thenounproject for the images</li>
 +
<li>Prof Kam for guidance in visual analytics</li>
 +
<li>MITB coursemates Rachel Tong and Fam Guo Teng for the enlightening discussions</li>

Latest revision as of 18:37, 16 October 2017

Overview Data Preparation Analysis and Results


Introduction


A mysterious illness with flu-like symptoms is spreading in Smartpolis, and the authorities have provided the following information for the deduction of the channel through which the illness is spread, and also whether emergency personnel needs to be deployed outside the affected areas.


Dataset 1 - Microblog entries (1023077 observations)
Variables available:

    1) User ID
    2) Time post was created
    3) Location of user during post (Lat, Long values)
    4) Content of post

Dataset 2 - Population Data (13 observations for the thirteen towns)
Variables available:

    1) Town name
    2) Location of town (Lat, Long values)
    3) Population Density
    4) Daytime population

Dataset 3 - Weather Data (21 entries for the 21 days in the timeperiod observed)
Variables available:

    1) Date
    2) Wind direction
    3) Average Wind Speed
    4) Weather

Tableau workbook

The link to the tableau workbook solution (in the story tab) is as follows:
https://public.tableau.com/views/VisualAnalyticsAssignment-VASTMC12011/Story?:embed=y&:display_count=yes&publish=yes


Resources and acknowledgements

Software used
  • JMP Pro 13
  • Tableau Desktop 10.3
  • Python (for text processing
  • Books used
  • Bird, S., Klein,E., Loper,E. (2009) Natural Language Processing with Python. Sebastapol, CA: O Reilly Media
  • Acknowledgements
  • thenounproject for the images
  • Prof Kam for guidance in visual analytics
  • MITB coursemates Rachel Tong and Fam Guo Teng for the enlightening discussions