Difference between revisions of "SuicideWatch: Proposal v2"
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<div style="background: #364558; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;font-size:20px"><font color=#fbfcfd>BACKGROUND RESEARCH</font></div> | <div style="background: #364558; padding: 15px; font-weight: bold; line-height: 0.3em; text-indent: 15px;font-size:20px"><font color=#fbfcfd>BACKGROUND RESEARCH</font></div> | ||
− | + | An interactive dashboard for world suicide statistics 1985-2015 on Kaggle: https://www.kaggle.com/tavoosi/suicide-data-full-interactive-dashboard/#data <br> | |
− | https://www.kaggle.com/tavoosi/suicide-data-full-interactive-dashboard/#data <br> | ||
We found inspiration from the display of this dashboard. For worldwide visualization, we will make improvements from the current design. <br> | We found inspiration from the display of this dashboard. For worldwide visualization, we will make improvements from the current design. <br> | ||
<br/> | <br/> | ||
− | + | Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904786/ <br> | |
− | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904786/ <br> | ||
This paper supports our hypothesis that the use of social media leads to depression and suicide. We will look into this hypothesis by plotting the correlation graph for suicide index and social media penetration by country. | This paper supports our hypothesis that the use of social media leads to depression and suicide. We will look into this hypothesis by plotting the correlation graph for suicide index and social media penetration by country. |
Revision as of 11:43, 7 October 2019
Version 2
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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?
With primary investigation, we found out that the suicide rate varies from country to country. To further study the suicide rate breakdown and the reason behind, we looked into Japan as it is an Asia country known for its high suicide rate, and the Japan government has published more detailed statistics for the annual suicide rate. This gives us a good starting point for visualization.
In this project, we are interested to create a visualization that helps analysts perform the following:
- Explore suicides rates in each country
- Explore if there is a correlation between the suicide rate and happiness index
- Explore suicide demographic of each country
- Compare the political climate of each country
- Establish possible correlations of each country’s suicide with its GDP and the include of social media / technological advancements
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: https://data.worldbank.org/indicator/ny.gdp.mktp.cd
Social media penetration:
- https://www.statista.com/statistics/282846/regular-social-networking-usage-penetration-worldwide-by-country/
- https://ourworldindata.org/internet
Japan Suicide Report published by Japan National Police Agency: https://www.npa.go.jp/publications/statistics/safetylife/jisatsu.html
An interactive dashboard for world suicide statistics 1985-2015 on Kaggle: https://www.kaggle.com/tavoosi/suicide-data-full-interactive-dashboard/#data
We found inspiration from the display of this dashboard. For worldwide visualization, we will make improvements from the current design.
Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5904786/
This paper supports our hypothesis that the use of social media leads to depression and suicide. We will look into this hypothesis by plotting the correlation graph for suicide index and social media penetration by country.