Publication · International Journal of Science and Innovative Engineering & Technology · May 2018

Role of Data Science in Suicides in India

Research paper on applying data science to suicide trends in India — ISBN 978-81-923607-3-7.

  • Research paper
  • Data Science
  • R

Problem

Suicide rates in India contribute ~17% of global fatalities, yet patterns across causes, demographics, and states remain under-analyzed at scale — limiting targeted prevention.

Metrics

  • NCRB suicide data (2001–2012) — 1.4M+ cases analyzed
  • K-means clustering across cause, means, profession, education, and geography

Outcomes

  • Identified high-vulnerability clusters: ages 15–29, family problems as dominant cause, hanging as primary means
  • Mapped state-level risk zones and education-linked suicide trends using R (dplyr, ggplot2, factoextra)
  • Published at ICSIE 2018 — ISBN 978-81-923607-3-7

Full paper

The published paper — full text, figures, and references — is on Google Drive.

PDF → Read on Notion →

Role of Data Science in Suicides in India

Co-authored research analyzing National Crime Records Bureau suicide data (2001–2012) with R — clustering, visualization, and behavioral insights across cause, means adopted, profession, social status, and education.

Full paper: Google Drive PDF · ISBN 978-81-923607-3-7

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