Difference between revisions of "Wyz-Visualization & Insights"
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<font size="5"><font color="#8B4513">'''Visualization & Insights'''</font></font> | <font size="5"><font color="#8B4513">'''Visualization & Insights'''</font></font> | ||
| − | ==The | + | ==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. | ||
| + | <br/> | ||
| + | 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. | ||
| + | |||
| + | <table border='1'> | ||
| + | <tr> | ||
| + | <th>Visualization</th> | ||
| + | <th>Insights</th> | ||
| + | </tr> | ||
| + | <tr> | ||
| + | <td><b> 1. Setting the scene – classification of visitors & the “most scenic path” </b> | ||
| + | <br>The visitors were divided into 6 segments based on the types of vehicles they drive and their activities patterns, summarized in Fig 1.A below. The patterns of life analysis will address each segment separately. | ||
| + | |||
| + | <br>Fig 1.B shows the most frequently visited paths (by gate categories) for all segments of visitors, in which we noticed the route “general gate-rangerstop-rangerstop-general gate” appeared very frequently. The high visitor volume indicates that most likely this path has most attractions in the reserve. For easier identification, this route will be addressed as “the most scenic route” in the subsequent analysis. | ||
| + | </td> | ||
| + | <td>[[File:gyf_updated1_1.png|800px|center]]</td> | ||
| + | </tr> | ||
| + | <tr> | ||
| + | <td><b>2.Day Campers</b><br>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.</td> | ||
| + | <td>[[File:gyf_updated2.png|800px|center]]</td> | ||
| + | |||
| + | </tr> | ||
Revision as of 17:08, 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.
| Visualization | Insights |
|---|---|
| 1. Setting the scene – classification of visitors & the “most scenic path”
|
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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. |
