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
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article

A Data-Driven Exploration of Crime Against Women: Unveiling Insights Through Statistical Techniques

Zenodo (CERN European Organization for Nuclear Research)
Intimate Partner and Family Violence
article

A Data-Driven Exploration of Crime Against Women: Unveiling Insights Through Statistical Techniques

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Openalex Percentile: Top 49%
Intimate Partner and Family Violence
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A Data-Driven Exploration of Crime Against Women: Unveiling Insights Through Statistical Techniques · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS