Difference between revisions of "ISSS608 2017-18 T1 Assign GONG QIANG"

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Analysis:
 
Analysis:
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by filtering key word : flu|sort|cold|fever|cough in Text, then sort by blog time (Created_at,converted to Date type), I can narrow down all blogs only to those flu-relevant blogs.
 
by filtering key word : flu|sort|cold|fever|cough in Text, then sort by blog time (Created_at,converted to Date type), I can narrow down all blogs only to those flu-relevant blogs.
put the sorted & filtered data into Tableau,and plot them by day, I can see almost every day people mention flu,fever etc.,but only from May 18, the total amount rising signification comparing to previous days, after 8am it hit 123 records which is evidently not normal, hence I determine the first outbreak happens in May 18.
+
Then load the sorted & filtered data into Tableau,and plot them by day, I can see almost every day people mention flu,fever etc.,but only from May 18, the total amount rising signification comparing to previous days, after 8am it hit 123 records which is evidently not normal, hence I determine the first outbreak happens in May 18.
 
Moreover,by plotting all blogs into the map per latitude,longitude, put a time animation there to check hour by hour on May 18, I can see outbreak burst in Downtown area then move to Eastside
 
Moreover,by plotting all blogs into the map per latitude,longitude, put a time animation there to check hour by hour on May 18, I can see outbreak burst in Downtown area then move to Eastside

Revision as of 15:58, 15 October 2017

The first ourbreak looks to have happend in Downtown area on May 18. The affect area was from Downtown to Eastside as per the hourly trend.

Analysis:

by filtering key word : flu|sort|cold|fever|cough in Text, then sort by blog time (Created_at,converted to Date type), I can narrow down all blogs only to those flu-relevant blogs. Then load the sorted & filtered data into Tableau,and plot them by day, I can see almost every day people mention flu,fever etc.,but only from May 18, the total amount rising signification comparing to previous days, after 8am it hit 123 records which is evidently not normal, hence I determine the first outbreak happens in May 18. Moreover,by plotting all blogs into the map per latitude,longitude, put a time animation there to check hour by hour on May 18, I can see outbreak burst in Downtown area then move to Eastside