A Power BI Project on Kidnapping & Abduction Dataset in India 

Download Dataset 👉👉👉👉Kidnapping & Abduction

 

Dataset Description

This dataset represents child victims of kidnapping & abduction cases across different cities. The victims are classified into three age groups:

1. Below 6 Years

2. 6 to 12 Years

3. 12 to 16 Years

For each age group, victims are further divided by gender:

• M = Male victims

• F = Female victims

• Tr = Transgender victims

• T = Total victims (sum of M, F, Tr)

Research / Analysis Questions for Students

1. Descriptive Analysis

   • Which city reports the highest total number of child kidnapping/abduction cases?

   • What is the age group most affected across all cities?

   • Are female victims more than male victims across all age groups?

2. Comparative Analysis

   • Compare the kidnapping cases between below 6 years and 12–16 years age groups.

   • In which city is the gender gap (Male vs Female victims) the widest?

   • Which city has the highest proportion of transgender child victims?

3. Trend & Pattern Analysis

   • Do cases increase with age group (below 6 → 6–12 → 12–16), or decrease?

   • Are urban cities reporting higher abduction rates compared to semi-urban/rural cities?

   • Which age + gender group (e.g., Female 12–16) is most vulnerable?

4. Statistical / Visualization Tasks

   • Create a heatmap showing cities vs. number of child victims by age group.

   • Plot a stacked bar chart of male vs. female vs. transgender victims across all cities.

   • Calculate percentage contribution of each age group to the total abductions.

5. Critical Thinking Questions

   • What socio-economic or cultural factors might explain differences in kidnapping/abduction cases across age groups and cities?

   • Based on the dataset, what preventive measures could be suggested for the most vulnerable groups?