Track: Data Analytics

Abstract

Advent of sophisticated technologies has drastically reduced the cost of data collection and storage but unless we exploit the data in order to gain meaningful insights, it is just the data. Data Analytics can be considered as an approach to carve out information from a very large data set. Analytics is becoming prevalent in the field of healthcare, manufacturing industries, and service industries. In this paper, an attempt has been made to analyze the mortality data set of the USA-2014 using data analytics and data visualization tools. Findings of the study suggest that number of suicides and level of education are inversely related, and in the USA, men tend to have more suicidal tendencies compared to that of women. The study also includes analysis of deaths in 2014 with respect to marital status, age-group, injury at work, leading causes of death, and manner of death. This analysis can also be used to build predictive models which may help to take preventive steps in order to reduce untimely deaths in the future. It could also be helpful for government agencies and policy makers to set strategies to avoid unwanted incidence in the society.