Analysis of Mortality data of WHO and visualization using Power BI
-
Updated
Aug 21, 2023 - Jupyter Notebook
Analysis of Mortality data of WHO and visualization using Power BI
Explore the various factors that influence suicide rates, such as the impact of suicide prevention and support organizations, geographical variations, the interplay of age groups and generational factors, and make insightful comparisons with other leading causes of death.
Analysis of Suicide Rate dataset & Happiness Report dataset to identify the relationship between a crude suicide rate & the happiness measure
Data analysis project on suicide rates using statistical tests and logistic regression.
Testing a significance of the correlation between a suicide rate and a number of psychiatrists and psychologists working in the mental health sector
Shiny app for the Public Health PhD Thesis (Relationship between exposure to pesticides with suicide attempts and suicide in Colombia during the period 2009-2018)
Add a description, image, and links to the suicide-rate topic page so that developers can more easily learn about it.
To associate your repository with the suicide-rate topic, visit your repo's landing page and select "manage topics."