Analysis of suicides that occurred in 35-year period
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Updated
May 6, 2019 - Jupyter Notebook
Analysis of suicides that occurred in 35-year period
Data analysis of suicide happened in India between year 2001 to 2012
Our study aims to explore the suicides pattern from the year 1985 to the year 2016 through global, continent and country scales, as well as gender, age, GDP and generation factors. The descriptive exploration obtained will then be verified through statistical inferential analysis. We set the target audience as World Health Organization officer w…
From growing up in the heart of Silicon Valley, I have always wondered what was the factors that play a role in Suicide. There have been a plethora of suicide clusters from my High School in Palo Alto. This project seeks to explore the underlying factors. We will use a sample of 44,000 gather data from 141 different Countries, between the 80's …
Analysis scripts and randomly generated data for Suicide and Life-Threatening Behavior paper: 'Identifying person-specific coping responses to suicidal urges: A case series analysis and illustration of the idiographic method'
To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.
Statistical analysis of relationship between overall happiness, climate and suicide ratio accross the Globe.
This repo contains code, a presentation, and a project report regarding suicide rates in the US from 1985 - 2015
Building a dashboard to present the suicide rate (per 100,000 population) for 2019 across the world for as crude suicide rate and suicides rate by gender.
This repo contains the analysis of suicide data over years implemented through streamlit
Visualizing suicide data with javascript libraries
Suicide Statistics for India in the year 2020 classified by Gender, Age Bracket and Reposted Cause. Visualised using Python
Data Analysis of suicides in India
You don't have to face it alone.
Problem to solve: find the patterns for increased suicide rates (1985 to 2016) among different cohorts globally, across the socioeconomic spectrum, using exploratory data analysis. Using bivariate analysis, I try to determine if there is any relationship between two variables.
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