Difference between revisions of "ISS608 2017-18 T1 Assign KyonghwanKim Visualization"

From Visual Analytics and Applications
Jump to navigation Jump to search
(Created page with "file:title.png <div style=background:#B4CE20 border:#D8CBA4> <font size = 6; color="#000000">Vastropolis Epidemic Report</font> </div> <!--MAIN HEADER --> {|style="backgr...")
 
 
(6 intermediate revisions by the same user not shown)
Line 1: Line 1:
 
[[file:title.png]]
 
[[file:title.png]]
<div style=background:#B4CE20 border:#D8CBA4>
+
<div style=background:#8B8B8B border:#8B8B8B>
 
<font size = 6; color="#000000">Vastropolis Epidemic Report</font>
 
<font size = 6; color="#000000">Vastropolis Epidemic Report</font>
 
</div>
 
</div>
Line 6: Line 6:
 
<!--MAIN HEADER -->
 
<!--MAIN HEADER -->
 
{|style="background-color:#B4CE20;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0"  |
 
{|style="background-color:#B4CE20;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0"  |
| style="font-family:Century Gothic; font-size:100%; solid #000000; background:#B4CE20; text-align:center;" width="16.67%" |  
+
| style="font-family:Century Gothic; font-size:100%; solid #000000; background:#8B8B8B; text-align:center;" width="20%" |  
 
;
 
;
 
[[ISS608_2017-18_T1_Assign_KyonghwanKim| <font color="#000000">Background</font>]]
 
[[ISS608_2017-18_T1_Assign_KyonghwanKim| <font color="#000000">Background</font>]]
  
| style="font-family:Century Gothic; font-size:100%; solid #D8CBA4; background:#B4CE20; text-align:center;" width="16.67%" |  
+
| style="font-family:Century Gothic; font-size:100%; solid #8B8B8B; background:#8B8B8B; text-align:center;" width="20%" |  
 
;
 
;
 
[[ISS608_2017-18_T1_Assign_KyonghwanKim_Data_Preparation| <font color="#000000">Data Preparation</font>]]
 
[[ISS608_2017-18_T1_Assign_KyonghwanKim_Data_Preparation| <font color="#000000">Data Preparation</font>]]
  
| style="font-family:Century Gothic; font-size:100%; solid #D8CBA4; background:#F18D50; text-align:center;" width="16.67%" |  
+
| style="font-family:Century Gothic; font-size:100%; solid #8B8B8B; background:#EEDB1A; text-align:center;" width="20%" |  
 
;
 
;
 
[[ISS608_2017-18_T1_Assign_KyonghwanKim_Visualization| <font color="#000000">Visualization</font>]]
 
[[ISS608_2017-18_T1_Assign_KyonghwanKim_Visualization| <font color="#000000">Visualization</font>]]
  
| style="font-family:Century Gothic; font-size:100%; solid #D8CBA4; background:#B4CE20; text-align:center;" width="16.67%" |  
+
| style="font-family:Century Gothic; font-size:100%; solid #8B8B8B; background:#8B8B8B; text-align:center;" width="20%" |  
 
;
 
;
[[ISS608_2017-18_T1_Assign_KyonghwanKim_Answer| <font color="#000000">Answer</font>]]
+
[[ISS608_2017-18_T1_Assign_KyonghwanKim_Solution| <font color="#000000">Solution</font>]]
  
| style="font-family:Century Gothic; font-size:100%; solid #D8CBA4; background:#B4CE20; text-align:center;" width="16.67%" |
+
| style="font-family:Century Gothic; font-size:100%; solid #8B8B8B; background:#8B8B8B; text-align:center;" width="20%" |  
;
 
[[ISS608_2017-18_T1_Assign_KyonghwanKim_Reference| <font color="#000000">Reference</font>]]
 
 
 
| style="font-family:Century Gothic; font-size:100%; solid #D8CBA4; background:#B4CE20; text-align:center;" width="16.67%" |  
 
 
;
 
;
 
[[Talk:ISS608_2017-18_T1_Assign_KyonghwanKim_Feedback| <font color="#000000">Feedback</font>]]
 
[[Talk:ISS608_2017-18_T1_Assign_KyonghwanKim_Feedback| <font color="#000000">Feedback</font>]]
Line 33: Line 29:
 
|}
 
|}
 
<br/>
 
<br/>
 +
 +
 +
=Population=
 +
Population data has ''Daytime_Population'' and ''Population_Density'' by area. Using these 2 variables, ''"Floating_Population"'' variable is created by taking ''Population_Density'' away from ''Daytime_Population''. <br/>
 +
 +
[[file:floating.png]]
 +
 +
''"Floating_Population"'' represent how many people are moving into each area as well as moving out after work. <br/>
 +
 +
 +
[[file:population.png|700px]]<br/>
 +
'''''Box plot with area, population density, and floating population'''''[https://public.tableau.com/profile/kyonghwan.kim#!/vizhome/Book1_24755/Sheet2]
 +
 +
It is straight forward that area ''Suburbia'' has the largest population followed by ''Lakeside'' and ''Riverside'' whereas area ''Uptown'' has the largest floating population followed by ''Downtown'' and ''Westside''. Also, all of top '''7''' areas have negative floating population, meaning people are travelling to ''Uptown'', ''Downtown'' and ''Westside'' everyday for work.
 +
 +
 +
 +
=Weather=
 +
 +
Wind speed and direction are presented below.
 +
 +
[[file:wind.png|900px]]<br/>
 +
'''''Heatmap of wind speed and direction'''''
 +
 +
Wind direction has changed from South/East to North/West from May 4th. It gets very strong from May 3rd till May 8th, and get strong again from May 11th onward.
 +
 +
 +
 +
=Key Words Analysis=
 +
 +
 +
Following key words are used for analysis.
 +
 +
{| class="wikitable"
 +
|-
 +
|style="text-align:center;" |'''Diagnosis'''
 +
|'''''flu''''', '''''cold'''''
 +
|-
 +
|style="text-align:center;" |'''Symptoms'''
 +
|fever, chill, sweat, pain, fatigue, cough, ''breathing difficulty'', nausea, vomit, diarrhea, headache, sick, ''shortness of breath'', ''declining health'', ''hurts to move'', ''aching muscles'', ''sore throat'', ''runny nose'', ''problems breathing'', pneumonia
 +
|-
 +
|}
 +
 +
 +
 +
Using above key words, text traffic is plotted into Vastropolis map.[https://public.tableau.com/profile/kyonghwan.kim#!/vizhome/VistropolisFlu/Sheet2?publish=yes][https://public.tableau.com/profile/kyonghwan.kim#!/vizhome/VistropolisCold/Sheet1?publish=yes][https://public.tableau.com/profile/kyonghwan.kim#!/vizhome/VistropolisSymptom/Sheet5?publish=yes]
 +
 +
{| class="wikitable"
 +
|-
 +
|style="text-align:center;" |'''Date'''
 +
|style="text-align:center;" |'''''Flu'''''
 +
|style="text-align:center;" |'''''Cold'''''
 +
|style="text-align:center;" |'''Symptoms'''
 +
|-
 +
|May 16th
 +
|[[file:flumap16.png|250px]]
 +
|[[file:coldmap16.png|250px]]
 +
|[[file:symmap16.png|250px]]
 +
|-
 +
|May 17th
 +
|[[file:flumap17.png|250px]]
 +
|[[file:coldmap17.png|250px]]
 +
|[[file:symmap17.png|250px]]
 +
|-
 +
|May 18th
 +
|[[file:flumap18.png|250px]]
 +
|[[file:coldmap18.png|250px]]
 +
|[[file:symmap18.png|250px]]
 +
|-
 +
|May 19th
 +
|[[file:flumap19.png|250px]]
 +
|[[file:coldmap19.png|250px]]
 +
|[[file:symmap19.png|250px]]
 +
|-
 +
|May 20th
 +
|[[file:flumap20.png|250px]]
 +
|[[file:coldmap20.png|250px]]
 +
|[[file:symmap20.png|250px]]
 +
|-
 +
|}
 +
 +
Above series of plot in Map shows following points.
 +
*Frequency of text '''''cold''''' leap up on May 18th whereas frequency of text '''''flu''''' remain clam on same day. '''''Cold''''' is less likely used for diagnosis, but is likely used to describe temperature.
 +
*Frequency of text '''Symtom''' leap up on May 18th, then text '''''flu''''' leap up on following day. People describe their contagion symptoms 1 day before writing '''''flu'''''.
 +
*Frequency of text '''''cold''''' decreased on May 19th. It may referring the temperature of Vastropolis warm up again.

Latest revision as of 23:39, 15 October 2017

Title.png

Vastropolis Epidemic Report

Background

Data Preparation

Visualization

Solution

Feedback

 



Population

Population data has Daytime_Population and Population_Density by area. Using these 2 variables, "Floating_Population" variable is created by taking Population_Density away from Daytime_Population.

Floating.png

"Floating_Population" represent how many people are moving into each area as well as moving out after work.


Population.png
Box plot with area, population density, and floating population[1]

It is straight forward that area Suburbia has the largest population followed by Lakeside and Riverside whereas area Uptown has the largest floating population followed by Downtown and Westside. Also, all of top 7 areas have negative floating population, meaning people are travelling to Uptown, Downtown and Westside everyday for work.


Weather

Wind speed and direction are presented below.

Wind.png
Heatmap of wind speed and direction

Wind direction has changed from South/East to North/West from May 4th. It gets very strong from May 3rd till May 8th, and get strong again from May 11th onward.


Key Words Analysis

Following key words are used for analysis.

Diagnosis flu, cold
Symptoms fever, chill, sweat, pain, fatigue, cough, breathing difficulty, nausea, vomit, diarrhea, headache, sick, shortness of breath, declining health, hurts to move, aching muscles, sore throat, runny nose, problems breathing, pneumonia


Using above key words, text traffic is plotted into Vastropolis map.[2][3][4]

Date Flu Cold Symptoms
May 16th Flumap16.png Coldmap16.png Symmap16.png
May 17th Flumap17.png Coldmap17.png Symmap17.png
May 18th Flumap18.png Coldmap18.png Symmap18.png
May 19th Flumap19.png Coldmap19.png Symmap19.png
May 20th Flumap20.png Coldmap20.png Symmap20.png

Above series of plot in Map shows following points.

  • Frequency of text cold leap up on May 18th whereas frequency of text flu remain clam on same day. Cold is less likely used for diagnosis, but is likely used to describe temperature.
  • Frequency of text Symtom leap up on May 18th, then text flu leap up on following day. People describe their contagion symptoms 1 day before writing flu.
  • Frequency of text cold decreased on May 19th. It may referring the temperature of Vastropolis warm up again.