lakshaysahni08 / suicide-rate-analysis

Shiny app developed in R. Examines suicide rates around the world based upon various categories such as GDP, age-range, and gender across different countries and draws conclusions accordingly.

Suicide Rates in Various Countries

Team 37 : Kevin Ko, Lakshay Sahni, Ethan Tong

An Overview of Suicide Rates from 1985-2016

Suicide Rates have always been an issue around the world. In that particular sense, we want to continue to raise awareness towards this issue and allow more and more people to understand and examine the increase of suicide rates over the past few years - specifically from 1985 - 2016.

Project Description

The data that we will be examining is Suicide rates around the world based upon various catagories such as GDP, age-range, and gender across different countries. This dataset was acquired from Kaggle which pulls data from the United Nations, The World Bank, World Health Organization, and a notebook that contains records of suicides across the world. This is important for people to be able to analyze patterns and recognize specific danger areas that need help. Identifying troubling areas to send councillors and experts can help decrease suicide occurrences and possibly help communities grow.

APP Link : https://kevinkochunyu.shinyapps.io/suicide_rates_various_countries/

Expected Audience

The target audience is adults and teenagers since the end goal is to spread awareness of mental health. Mental health advocates and possibly doctors with the background in mental health would be able to target these zones and decrease the number of suicides; Teenagers should be more aware of the mental health of their peers as well, so targeting this broad range would help increase the awareness in a school setting and a public setting. Looking at different demographics across the world may give people ideas on how to treat mental health universally.

What Should People Learn From our Presentation?

The audience should learn at least four key things about our dataset:

1. Examine the country's data concerning the number of suicides

2. Examine and observe the suicide numbers in each given age group for that country

3. Identify trends in a line graph that shows the total suicide rates for selected years

4. Draw conclusions based on gdp comparisons, age comparisons, gender comparisons, and percent increase/decrease in the number of suicides.

Most importantly, we want the user to understand that suicide rates is in general affected by many, many factors. We show that GDP does have an effect in suicide rates, however it is not only the reason that defines suicide rates in the world today. We want to show awareness but also allow the user to at the same time answer/observe the following questions:

1. What is the most vulnerable age group in a specific year in a specific country?

2. Is there an increase or decrease of total suicide numbers across the years?

3. What is the increase and decrease percentage of suicide rates between a range of years?

4. Does a change in GDP show a relationship with suicide rates?

5. Of a particular year, which age group contributed to the highest number of suicides?

References

Suicide Rate Dataset : click to go to dataset

Image source : link

Presented and Created by

Kevin Ko, Lakshay Sahni, Ethan Tong