Difference between revisions of "Analysis"

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<h2>Preliminary Analysis in JMP </h2>
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[[File:Matilda JMP preliminarypic.png|250px|thumb|left]]
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Due to the possibility of describing sickness in slang or terms which we are not as familiar with, the JMP text explorer was used to identify such terms through its in-built text analysis function.Terms such as those circled in red in the figure below were considered when compiling the list of symptoms to filter the posts with, in order to get more accurate results.
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Also notable were its mention of a music festival and a truck accident, which we would later learn more about in our following analysis through visualisation of the data in Tableau.
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<br>
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<br>
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<h2>Data Analysis in  Tableau </h2>
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<h6>Analysis of travel patterns</h6>
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[[File:Matilda sp1.png|800px|center]]
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<h6>Comparison with content from posts </h6>
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[[File:Matilda sp2.png|800px|center]]
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<h6>Hourly microblog feed dashboard</h6>
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[[File:Matilda sp3.png|800px|center]]
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<h6>Strategy for target narrowing</h6>
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[[File:Matilda sp4.png|800px|center]]
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<h6>Creating a holistic view </h6>
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[[File:Matilda sp5.png|800px|center]]
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<h6>Proliferation of disease dashboard</h6>
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[[File:Matilda sp6.png|800px|center]]
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<h2>Insights from Analysis</h2>
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<h6>Suspicious events: Possible human to human transmission</h6>
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[[File:Matilda sp7.png|800px|center]]
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<h6>Suspicious events: Possible wind and water transmission</h6>
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[[File:Matilda sp8.png|800px|center]]
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<h2>Results and conclusion</h2>
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<h6>Origin and channel of transmission</h6>
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[[File:Matilda sp9.png|800px|center]]
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<h6>Deployment of emergency services</h6>
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[[File:Matilda sp10.png|800px|center]]

Latest revision as of 18:35, 16 October 2017

Overview Data Preparation Analysis and Results


Preliminary Analysis in JMP

Matilda JMP preliminarypic.png


Due to the possibility of describing sickness in slang or terms which we are not as familiar with, the JMP text explorer was used to identify such terms through its in-built text analysis function.Terms such as those circled in red in the figure below were considered when compiling the list of symptoms to filter the posts with, in order to get more accurate results.

Also notable were its mention of a music festival and a truck accident, which we would later learn more about in our following analysis through visualisation of the data in Tableau.






Data Analysis in Tableau



Analysis of travel patterns
Matilda sp1.png



Comparison with content from posts
Matilda sp2.png


Hourly microblog feed dashboard
Matilda sp3.png


Strategy for target narrowing
Matilda sp4.png


Creating a holistic view
Matilda sp5.png


Proliferation of disease dashboard
Matilda sp6.png


Insights from Analysis


Suspicious events: Possible human to human transmission
Matilda sp7.png



Suspicious events: Possible wind and water transmission
Matilda sp8.png


Results and conclusion


Origin and channel of transmission
Matilda sp9.png


Deployment of emergency services
Matilda sp10.png
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