Crime Against Women

This project analyzes crime against women in India from 2008 to 2012 using Tableau visualizations, exploring trends, regional variations, and prevalent crime types for social awareness.

Aim of the Project 🎯: The goal is to provide insights into crime trends against women in India from 2008 to 2012, helping to understand patterns and raise awareness for better social action.

Project Description 📃: This project utilizes Tableau to visualize crime data, analyzing trends, regional variations, and crime types to highlight significant patterns in crimes against women.

Project Phases:

  • Data Analysis using Tableau: Visualized crime data through line graphs, maps, and tree maps to identify trends and crime hotspots.
  • Regional Analysis: Mapped crime rates by state to identify high-risk areas, with a focus on West Bengal and Uttar Pradesh.
  • Crime Type Analysis: Analyzed year-wise crime types, with a focus on cruelty by husband, rape, and kidnapping.

Steps involved in the process:

  • Crime Trend Analysis 📊: Identified a 24.6% increase in crimes against women over the years.
  • State-wise Distribution 🗺️: Mapped state crime rates, highlighting West Bengal with the highest rates.
  • Crime Type Prevalence 📈: Analyzed prevalent crime types such as cruelty by husband and rape.

Important Insight: West Bengal had the highest crime rates, with cruelty by husband and relatives being the most common crime type across all years.

Conclusion: This analysis provides a deeper understanding of crime trends, highlighting regions and crime types most in need of intervention.

Key Learnings:

  • Identifying crime hotspots is essential for targeted interventions.
  • Social awareness plays a key role in tackling recurring crime types.
  • Data visualization helps uncover regional and crime-specific trends.

Future Scope:

  • Crime Prevention Programs: Targeted programs for high-risk regions like West Bengal.
  • Policy Advocacy: Use of insights to advocate for stronger legal frameworks.
  • Technology in Crime Monitoring: Enhancing crime reporting systems and data collection for better analytics.