A Data-Driven Exploration of Crime Against Women: Unveiling Insights Through Statistical Techniques
This study, "A Data-Driven Exploration of Crime Against Women: Unveiling Insights Through Statistical Techniques," examines crime trends against women in India from 2001 to 2023 using a dataset of 754 records across multiple categories such as rape, kidnapping, dowry deaths, and domestic violence. Tableau was used for data visualization, while statistical techniques, including descriptive statistics, correlation analysis, and clustering, were applied for deeper insights. The analysis reveals a steady increase in crimes up to 2013, peaking between 2015 and 2018, followed by a significant decline post-2020, potentially due to underreporting during the COVID-19 pandemic. Clustering showed regional disparities in crime, with a few states exhibiting disproportionately high violence levels. The correlation analysis found strong associations between crimes like dowry deaths, domestic violence, and kidnapping, emphasizing the need for region-specific interventions and improved crime reporting systems. This research contributes valuable insights for addressing violence against women.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-05
- DOI
- https://doi.org/10.5281/zenodo.14285292
- Primary Topic
- Intimate Partner and Family Violence
- Type
- article
- Field-Weighted Citation Impact
- 0.00