SuicideWatch: Proposal v2
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 signals 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?
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 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
