Visualizing suicide data with javascript libraries

Data analysis of suicide happened in India between year 2001 to 2012

Data Analysis of suicides in India

To categorize tweets according to the severity level of suicidal intentions expressed in tweets’ text.

This research project seeks to comprehensively investigate suicide rates and their underlying factors over the period from 1985 to 2020.

In this project, three different models based on GAT, GCN and SAGE have been implemented to examine their performance on two prominent social networking platforms, namely Twitter and Reddit.

You don't have to face it alone.

This project is about the suicide rate in India and comparison between the different states and union territories of India of the year 2022. This Report will help us to know the official rate of suicide in India and the number of male and female suicide rate, the status of the person, and mode or methods of suicide also the different causes.

Python Data Visualization

This part of the Capstone Project entails a machine learning model to predict macroeconomic movements using geo-regional data in the EU. This project involved extensive data analysis, predictive modeling, and cross-comparison techniques.

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'

Suicide Statistics for India in the year 2020 classified by Gender, Age Bracket and Reposted Cause. Visualised using Python

https://group102-suicide-app-r.herokuapp.com/

An interactive Excel dashboard analyzing global suicide data from 1985 to 2015. Explore trends by generations, age groups, countries, and continents to better understand global suicide rates.

Analysis of the suicide death rates within the US Hispanic & Latino population. Data collected from the Centers for Disease Control and Prevention.

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.

Analysis of suicides that occurred in 35-year period

https://suicideanalysis.onrender.com/

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…