Difference between revisions of "Wyz-Visualization & Insights"
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| − | <br>The | + | <td><b> 1. Infer the disease outbreak date </b> |
| − | + | <br>The line chart is to show daily total flu-related microblog messages trend. It can be seen from the graph that there is a significant rise on May 17th. | |
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Revision as of 17:13, 13 October 2017
Vast2011 MC1: Characterization of an Epidemic Spread
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Visualization & Insights
Origin and Epidemic Spread
Identify approximately where the outbreak started on the map (ground zero location). Outline the affected area. Explain how you arrived at your conclusion.
After a quick browse around the dataset, we can find that the content of over 1M microblog messages contains all aspects of life. So first, we start by extracting flu-related microblog messages. A list of keywords was selected to filter raw data. The list consists of keywords including flu, chill, fever, sweat, ache, pain, fatigue, cough, breath, nausea, vomit, diarrhea, and lymph, which are from observed symptoms and human judgement. After filtering, there are 71939 flu-related microblog messages left.
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1. Infer the disease outbreak date
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| 2.Day Campers Refer to Fig 2.1, day campers started to enter the reserve at 5am and left the park by 18:00. In terms of camp selection, Fig 2.2 reveals that camp3 and 6 are their most popular choices, possibly because they are located nearer to the entrances. Accessibility could be one of the considerations for the day campers in choosing their campaign locations due to the limited time they have in the park. |
