Group 4
ISSS608 Visual Analytics and Applications - Project Group 4
Exploring and Visualising Spatio-temporal Patterns of Self-inflicted Deaths in India
Abstract
India covers around 17.8% of world population, about 800,000 people commit suicide worldwide every year, and out of this 17% are Indian residents. This is a huge number especially for a developing nation like India it can hamper its growth. As the world is moving towards Smart Nations, India being one of them being enrolled into it, there is high need to educate the people on the consequences of such an act.
From our analysis, we will try to find out the patterns and various factors that lie behind such an action that becomes vital to one’s life. This will help the government officials and NGOs to identify and understand the potential victim and help the society to overcome this situation. This will help them plan different programs to run at different levels in order to enable them to fight the situation in a better way.
Using R markdown involving various packages of R, we created some good visuals which will give a clear picture to the people using it. This data visualization will not be complete if we cannot compare various factors, hence, R shiny is used to build interactive and meaningful dashboard.
About Us
We are postgraduate students at SMU, pursuing Master of IT in Business (Analytics) degree. Meet our team.
Akanksha Mittal
- (akanksham.2016@mitb.smu.edu.sg)
Sivagamy Balamourougane
- (sivagamyb.2016@mitb.smu.edu.sg)
Sanghavy Balamourougane
- (sanghavyb.2016@mitb.smu.edu.sg)
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