Difference between revisions of "SuicideWatch: Proposal v2"

From Visual Analytics for Business Intelligence
Jump to navigation Jump to search
Line 138: Line 138:
 
<p><center>'''Source''': https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904786/</center></p>
 
<p><center>'''Source''': https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904786/</center></p>
 
  ||  
 
  ||  
This paper supports our hypothesis on use of social media leaders to depression and suicide. The research results shows that membership in 2 clusters – “Wired” and “Connected” – increased the odds of elevated depression and anxiety symptoms (AOR = 2.7, 95% CI = 1.5–4.7; AOR = 3.7, 95% CI = 2.1–6.5, respectively, and AOR = 2.0, 95% CI = 1.3–3.2; AOR = 2.0, 95% CI = 1.3–3.1, respectively).
+
This paper supports our hypothesis on use of social media leaders to depression and suicide. The research results shows that membership in 2 clusters – “Wired” and “Connected” – increased the odds of elevated depression and anxiety symptoms (AOR = 2.7, 95% CI = 1.5–4.7; AOR = 3.7, 95% CI = 2.1–6.5, respectively, and AOR = 2.0, 95% CI = 1.3–3.2; AOR = 2.0, 95% CI = 1.3–3.1, respectively). <br>
 
We will further look into this issue by plotting the correlation line graph for suicide rate against social media penetration by country.
 
We will further look into this issue by plotting the correlation line graph for suicide rate against social media penetration by country.
 
|}
 
|}

Revision as of 13:34, 7 October 2019

<--- Back to Project Groups

Team 3 - SuicideWatch Logo.png

ABOUT US

PROPOSAL

POSTER

APPLICATION

RESEARCH PAPER


Version 2



PROBLEM & MOTIVATION

Suicide rates are at their highest since WWII. Close to 800 000 people die due to suicide globally every year, which is one person every 40 seconds. Suicide is a global phenomenon and occurs throughout the lifespan. In Singapore, suicide is the leading cause of death for those aged 10-29. Females are more likely to be diagnosed with depression and attempt suicide, but males accounted for more than 71% of all suicides in Singapore in 2018. The steady suicide figures signal the presence of an unseen epidemic, one that silently tips people over the edge. While most push the blame to depression, there is no one size fits all explanation when it comes to suicide. Can suicide rates be simply mapped to the Happiness Index or GDP per Capita? Or is there more than meets the eye?



OBJECTIVES

In this project, we are interested to create a visualization that helps analysts perform the following:

  1. Explore suicides rates in each country
  2. Explore if there is a correlation between the suicide rate and happiness index
  3. Explore suicide demographic of each country
  4. Compare the political climate of each country
  5. Establish possible correlations of each country’s suicide with its GDP and the include of social media / technological advancements


SELECTED DATASET

Primary data sets:
Suicide statistics: https://www.kaggle.com/russellyates88/suicide-rates-overview-1985-to-2016
This data set consists of the suicide statistics for worldwide countries from 1985 to 2016. Further breakdown for gender, age group is provided.
https://www.who.int/mental_health/prevention/suicide/countrydata/en/

Secondary data sets:
World Happiness index 2019: https://worldhappiness.report/ed/2019/
World GDP report for correlation analysis: https://data.worldbank.org/indicator/ny.gdp.mktp.cd
Social media penetration for correlation analysis:
Source a: https://www.statista.com/statistics/282846/regular-social-networking-usage-penetration-worldwide-by-country/
Source b: https://ourworldindata.org/internet

Dataset/Source Data Attributes Why this Dataset?
Dataset 1
(hyperlink)
  • Attribute 1
  • Attribute 2
This dataset will be used ...
Dataset 2
(hyperlink)
  • Attribute 1
  • Attribute 2
This dataset will be used ...
Dataset 3
(hyperlink)
  • Attribute 1
  • Attribute 2
This dataset will be used ...



RELATED WORKS

Example Takeaways

An interactive dashboard for worldwide suicide data 1985-2015 on Kaggle

Worldmap suicide rate.png

Source: https://www.kaggle.com/tavoosi/suicide-data-full-interactive-dashboard/#data

We get inspiration from this dashboard, which utilises the same set of data for world suicide statistics. This dashboard used a world map and bar chart for worldwide suicide rates, which we found informational and easy to understand.

Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis

Social media and depression.png

Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904786/

This paper supports our hypothesis on use of social media leaders to depression and suicide. The research results shows that membership in 2 clusters – “Wired” and “Connected” – increased the odds of elevated depression and anxiety symptoms (AOR = 2.7, 95% CI = 1.5–4.7; AOR = 3.7, 95% CI = 2.1–6.5, respectively, and AOR = 2.0, 95% CI = 1.3–3.2; AOR = 2.0, 95% CI = 1.3–3.1, respectively).
We will further look into this issue by plotting the correlation line graph for suicide rate against social media penetration by country.



DESIGN INSPIRATIONS

Example Takeaways

Title/Description

Team 3 - SuicideWatch Logo.png

Source: hyperlink

  • This visualization is well organised...

Title/Description

Team 3 - SuicideWatch Logo.png

Source: hyperlink

  • This visualization is well organised...



PROPOSED STORYBOARD

Our proposed application will consist of three pages... as can be seen below

LANDING PAGE

The purpose of this page is...

Proposed Storyboard Description

Title/Description

Team 3 - SuicideWatch Logo.png
  • The purpose of this is...

Title/Description

Team 3 - SuicideWatch Logo.png
  • The purpose of this is...


OVERVIEW

The purpose of this page is...

Proposed Storyboard Description

Title/Description

Team 3 - SuicideWatch Logo.png
  • The purpose of this is...

Title/Description

Team 3 - SuicideWatch Logo.png
  • The purpose of this is...


DEMOGRAPHICS

The purpose of this page is...

Proposed Storyboard Description

Title/Description

Team 3 - SuicideWatch Logo.png
  • The purpose of this is...

Title/Description

Team 3 - SuicideWatch Logo.png
  • The purpose of this is...


SOCIOECONOMIC ANALYSIS

The purpose of this page is...

Proposed Storyboard Description

Title/Description

Team 3 - SuicideWatch Logo.png
  • The purpose of this is...

Title/Description

Team 3 - SuicideWatch Logo.png
  • The purpose of this is...



PROJECT TIMELINE

Team 3 - SuicideWatch Logo.png


KEY CHALLENGES

Challenge Mitigation

No experience with this and that...

  • Cry and hope for the best

No time!!!!

  • Cry more



REFERENCES

  • link 1
  • link 2


COMMENTS

Feel free to leave us some comments or feedback!

Name Comment/Feedback

Your Name

  • Comment

Your Name

  • Comment