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Updated 3 years ago
Exploratory Data Analysis of Suicide Rates from 1985 till 2016
Description : I have collected this dataset from kaggle and it has been combined with 4 datasets with time & place, and was built to find out the signals/factors that are correlated to increased suicide rates among different cohorts globally, across the socio-economic spectrum.The objective of the analysis is Suicide Prevention.
Variable Description :
- country : place of suicide
- year : Year of Suicide
- sex : gender of the person who committed suicide
- age : age category
- suicides_no
- population : the population of the country
- suicides/100k pop : The ratio of suicide rate to 100 thousand of the population.
- country-year : we will don't use
- HDI for year : Human Development Index-we will don't use
- gdp_for_year : Gross domestic product(is a monetary measure of the market value of all the final goods and services produced in a specific time period) for year
- gdp_per_capita : Gross Domestic Product per capita shows a country's GDP divided by its total population.(Gross domestic product/total population)
- generation:
- G.I Generation(Greatest Generation) : 1901-1927
- Silient : 1928-1945
- Boomers : 1946-1964
- Generation X : 1965-1980
- Millenials(Generation Y) : 1981-1996
- Generation Z : 1997-?*
project_name = "suicide-rates-overview-1985-2016-eda" # change this (use lowercase letters and hyphens only)!pip install jovian --upgrade --quiet
import jovianjovian.commit(project=project_name)[jovian] Attempting to save notebook..
[jovian] Updating notebook "chiggy1994/suicide-rates-overview-1985-2016-eda" on https://jovian.ai
[jovian] Uploading notebook..
[jovian] Uploading additional files...
[jovian] Committed successfully! https://jovian.ai/chiggy1994/suicide-rates-overview-1985-2016-eda