Difference between revisions of "John Bau"

From Visual Analytics for Business Intelligence
Jump to navigation Jump to search
Line 148: Line 148:
  
  
| <center>Entry by nationality by age
+
| <center>Suicide_15to64_By occupation_ By year
(2007 - 2018)<br/><br/><br/>
+
(1993 - 2017)<br/><br/><br/>
([http://know.tour.go.kr/stat/tourStatSearchDis.do;jsessionid=18780F0E8CFAFBBCEB58B0A96098EDD3 Click to View Data])</center>
+
([http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B34E05&conn_path=I2 Click to View Data])</center>
 
||
 
||
  
* City
+
* Cause of death
  
* Age Range
+
* Gender
  
* Date
+
* Occupation
 +
 
 +
*Unit
 +
 
 +
*Year
  
 
||
 
||
<center>This data set will be used to understand the general demographic of international visitors coming to Korea from 2007 - 2018. We will be able to gain descriptive insights on the visitor demographics by Age Range.</center>
+
<center>This data set will be used to understand the general demographic of occupations of who committed suicide in Korea from 1993 - 2017. We will be able to gain descriptive insights of which occupation tend to have higher suicide rate.</center>
 
|-
 
|-
 
| <center>Entry by nationality by Sex
 
| <center>Entry by nationality by Sex

Revision as of 18:21, 21 September 2019

버티다.jpg


Team

 

Proposal

 

Poster

 

Application

 

Research Paper


<--- Go Back to Project Groups

PROBLEM


South Korea is one of the fast-growing country yet has the highest suicide rate.

Suicide in South Korea according to OECD Statistics, 25.6 people commit suicide per 100,000 people (2018, OECD). In other words, 36 people per day, 13,092 people per year. This is much higher than the OECD average of 11.6.

Hence, our group would like to analyze multiple data sets. To find the cause, reason, gender, status and age of different suicide rate. To understand the true story and understand South Korea.

Every number in the stats affects loved ones, family and precious life. Through our journey to analyse, we hope to find insightful meanings.




MOTIVATION


Our motivation is to analyse the trend and correlations of South Korea Suicide rate.



OBJECTIVES





SELECTED DATASET


The Data Sets we will be using for our analysis and for our application is listed below:

Dataset/Source Data Attributes Rationale Of Usage
Impulse_to_Commit_Suicide_and_Reasons__13_years_old_and_over

(2008 - 2018)


(http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1SSHE130R&conn_path=I2)


  • Type(1)

Gender Age Educational Attainment Economically Active Satisfaction with Life

  • Type(2) - Total

Total for Dongs Total for Eups & Myeons Male Female 15~19 years old 13~19 years old 20~29 years old 30~39 years old 40~49 years old 50~59 years old 60 years old and over 65 years old and over Elementary School Graduate & Under Middle School Graduate High School Graduate College or University Graduate & Over Employed Unemployed or Not Economically Active Satisfied Neither satisfied nor dissatisfied Dissatisfied


  • Year

Total Felt subtotal Economic hardships Problems with significant other Physical or mental sickness or disability Job Issues Loneliness, solitude Family issues School performance, concerns about higher education Problems with friends or colleagues Others Didn't feel


This dataset will be used to understand the reasons for suicide thought in South Korea from 2008 2018
Suicide rate_region

(1998 - 2017 )


(http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1YL21121E&conn_path=I2)
  • By Region
  • Gender
  • Year


This dataset will be used to understand suicide rate in the different major cities in Korea. We will also be able to gain insights on the Number of suicide .
Suicide_15to64_By occupation_ By year

(1993 - 2017)


(Click to View Data)
  • Cause of death
  • Gender
  • Occupation
  • Unit
  • Year
This data set will be used to understand the general demographic of occupations of who committed suicide in Korea from 1993 - 2017. We will be able to gain descriptive insights of which occupation tend to have higher suicide rate.
Entry by nationality by Sex

(2007 - 2018)


(Click to View Data)
  • City
  • Sex
  • Date
This data set will be used to understand the general demographic of international visitors coming to Korea from 2007 - 2018. We will be able to gain descriptive insights on the visitor demographics by Gender.
Entry by nationality by Purpose

(2007 - 2018)


(Click to View Data)
  • City
  • Purpose of Visit
  • Date
This data set will be used to understand the general demographic of international visitors coming to Korea from 2007 - 2018. We will be able to gain descriptive insights on the visitor demographics by Purpose of Visit.


BACKGROUND SURVEY




CONSIDERATION & VISUAL SELECTION


Below are a few visualizations and charts we considered making for our projects.

Reference of Other Interactive Visualization Learning Point

BRAINSTORMING SESSIONS






PROPOSED STORYBOARD





TECHNOLOGIES





TIMELINE




COMMENTS


Feel free to leave us some comments so that we can improve!

Visual Considerations Insights / Comments
No. Name Date Comments
1. Insert your name here Insert date here Insert comment here
2. Insert your name here Insert date here Insert comment here
3. Insert your name here Insert date here Insert comment here