Difference between revisions of "ISSS608 2017-18 T1 Assign ZHANG Lidan Data Preparation"
Jump to navigation
Jump to search
| Line 1: | Line 1: | ||
<div style=background:#2B3820 border:#A3BFB1> | <div style=background:#2B3820 border:#A3BFB1> | ||
[[Image:title_momo.png|150px]] | [[Image:title_momo.png|150px]] | ||
| − | <font size = 5; color="#FFFFFF"> | + | <font size = 5; color="#FFFFFF">Epidemic Spread in Smartpolis</font> |
</div> | </div> | ||
<!--MAIN HEADER --> | <!--MAIN HEADER --> | ||
Revision as of 17:30, 15 October 2017
Epidemic Spread in Smartpolis
|
|
|
|
|
Data Preparation
I import the microblog data set into the JMP at first. Firstly, I exclude 48 rows of missing text. Next, I separate the location into longitude and latitude through Word function. Then, because these locations are at the western hemisphere, I change the longitude coordinates into negative value by Num function. In addition, to exclude the irrelevant information, I create the subset dataset which consists of main flulike symptoms, such as chill, flu, fever, sweat, pain, fatigue, ache, cough, breath, nausea, vomit, diarrhea. Here, I use the Text Explorer in JMP to generate these new columns.
