Final Project Proposal

Em Tallman, Jirat Rymparsurat, Martin Truong, Tyler Takeuchi

Domain of Interest

• Why are you interested in this field/domain?

  This is something that is prevalent in the world and does not seem to be going away anytime soon. Also we have two psychology majors.

• What other examples of data driven project have you found related to this domain (share at least 3)?

  1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068947/
  • This shows suicide rates and the epidemiology of it.
  2. https://www.frontiersin.org/articles/10.3389/fpsyt.2018.00540/full
  • This shows suicide risks in relation to youth.
  3. https://jech.bmj.com/content/57/8/594
  • This shows unemployment rates and suicide looking to see if the data can show causation instead of correlation.

• What data-driven questions do you hope to answer about this domain (share at least 3)?

  1. How has time influenced propensities in age ranges to commit suicide?
  2. Can the amount of mental health resources affect suicide rates?
  3. What ages/demographics seem to have the most suicides?

Finding Data

Dataset 1 - Suicide Mortality by State

https://www.cdc.gov/nchs/pressroom/sosmap/suicide-mortality/suicide.htm

The data was collected from 3000+ local jurisdictions and each city, county, and state determines the data to share with the CDC. However, the CDC plays a neutral role as the reporting is conducted by local jurisdictions. There are 400 rows within this dataset from the CDC. There are 5 columns, but one is a URL and does not contain specific data about the state/year/suicide/death count This dataset could be merged with economic trends by year to answer how the state of economy influences suicide rates. Other datasets merged with this one could show causal factors for suicide propensity such as technological access, GDP, homelessness, and much more.

Dataset 2 - Suicide in the Twenty-First Century

https://www.kaggle.com/code/szamil/suicide-in-the-twenty-first-century/data

This set of data was collected by WHO, and it talks about suicide rates throughout the world. The data talks about world suicide rates. There are 6 features and 43776 observations. We can answer the amount of suicides by year, sex, and age.

Dataset 3 - Mental Health and Suicide Rates (Human Resources)

https://www.kaggle.com/datasets/twinkle0705/mental-health-and-suicide-rates?select=Human+Resources.csv

This dataset was collected by who, but was organized by Twinkle Khanna. For the human resources part, it shows the type of healthcare worker and the amount of them working per 100,000 population for each country in the data. There are 6 features and 107 observations. This dataset can be merged with the previous datasets to show factors of how the amount of resources is related to suicide rates.