Difference between revisions of "Outbreak&Affected Areas"

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=Overview=
 
=Overview=
The outbreak area is in the center of the town.
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The outbreak area is in the center of the town. And then spread to other regions.
  
  
 +
=Visualazing=
 +
By watching all the scatterplots trend in the Map, found that the outbreak was happened in the downtown area. And then spread to different regions.
 +
For the different types of key words, the scatterplots trend in the Map could divided into three types. One is infectious-related symptons, such as fever, flu, cough. One is none infectious related symptons, like headache and Fatigue. The last one is intestines and stomach symptons, such as nausea and diarrhea.
  
 +
The following screenshot(Figure 1) displayed the location of all the affected areas. After tracking the scatterplots for the different key words via date, the  trends of key words of fever, flu, cough, pain, sick, breath, chill are almost the same. It first happened in the downtown area in 18th May and then spread quickly to the other regions in the next two days.
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<gallery heights="500" widths="900">
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File:ZW AffectedAreas.JPG|Figure 1: Affected Areas
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</gallery>
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The Figure 1 shows all the affected areas in the whole regions. Firstly, it happened in the center of the
  
 +
According to the founding above, then before 18th May there should be something happened. By seaching the texts during 17th May, a truck accident happened in the I-610 which is mentioned many times in the text. Figure 2 displays the number of key words truck accident mentioned in the comments.
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<gallery heights="400" widths="500">
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File:ZW TruckAcc.JPG|Figure 2: Text Analyse 17th
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</gallery>
  
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The key words increased very fast from 17th May to 18th May. The following Bar Chart displayed the number of key words trend. In contrast, the key words sweats trend is different, it first increased fast and then decreased much. Also for diahrrea, it only increased fast after 19th May with missing value in 18th May.
  
 
=Tableau Final Outputs URL=
 
=Tableau Final Outputs URL=

Revision as of 12:09, 15 October 2017

Vaa1.jpg ISSS608 Visual Analytics and Applications Assignment

Background

Outbreak&Affected_Areas

Transmission

EmergencyControl

DataPreparation

 


Overview

The outbreak area is in the center of the town. And then spread to other regions.


Visualazing

By watching all the scatterplots trend in the Map, found that the outbreak was happened in the downtown area. And then spread to different regions. For the different types of key words, the scatterplots trend in the Map could divided into three types. One is infectious-related symptons, such as fever, flu, cough. One is none infectious related symptons, like headache and Fatigue. The last one is intestines and stomach symptons, such as nausea and diarrhea.

The following screenshot(Figure 1) displayed the location of all the affected areas. After tracking the scatterplots for the different key words via date, the trends of key words of fever, flu, cough, pain, sick, breath, chill are almost the same. It first happened in the downtown area in 18th May and then spread quickly to the other regions in the next two days.

The Figure 1 shows all the affected areas in the whole regions. Firstly, it happened in the center of the

According to the founding above, then before 18th May there should be something happened. By seaching the texts during 17th May, a truck accident happened in the I-610 which is mentioned many times in the text. Figure 2 displays the number of key words truck accident mentioned in the comments.


The key words increased very fast from 17th May to 18th May. The following Bar Chart displayed the number of key words trend. In contrast, the key words sweats trend is different, it first increased fast and then decreased much. Also for diahrrea, it only increased fast after 19th May with missing value in 18th May.

Tableau Final Outputs URL