Mental state of a person is an indication of emotive, psychological and social welfare. Various parameters like pressure, strain, social fretfulness, dejection, obsessive compulsive disorder, drug obsession and personality disorders leads to mental illness. The purpose of the research was to analyse, predict and make better mental health solutions for the individuals using data visualization tool on selected datasets in metropolitan and semi-urban population. The study was undertaken among wide age range group from less than 18 to 50 plus of all around India. A 747 samples were collected using Google Form, out of which 425 were male (56.09%) and female were 319 (42.07%). The figure of 307 people of total population showed prevalence of diagnosable mental disorders. Hence, there is a great need to upsurge the prevention policies both at initial and tributary levels to overcome the mental distress and economic loss to society due to mental disorders. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Data Analytics and Visualization to Aid Mental Health Care