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Fathiyah-Abba/Nigeria-Kidnapping-Analysis

Domaine:

peace and security

Type de record:

dataset
Créateur:
Fat
Hôte:
Analysis of kidnapping, killings, and abduction trends in Nigeria from September 2021 to September 2022, providing insights into demographic patterns, regional hotspots, and key findings to support informed decision-making in security and risk management. # Nigeria-Kidnapping-Analysis Analysis of kidnapping, killings, and abduction trends in Nigeria from September 2021 to September 2022, providing insights into demographic patterns, regional hotspots, and key findings to support informed decision-making in security and risk management. # Nigeria Kidnapping, Killings, and Abductions Analysis ## Project Overview This project aims to analyze data on kidnappings, killings, and abductions in Nigeria from September 2021 to September 2022. By examining demographic information, regional patterns, and other factors, this analysis provides crucial insights into security trends across Nigeria. ## Objective The main objectives of this project are: To identify trends and patterns in kidnapping, killings, and abduction incidents. To provide demographic breakdowns (e.g., age, gender) of victims. To highlight regional hotspots for these incidents. To derive actionable insights that can help stakeholders enhance security measures. ## Data The dataset used in this project consists of compiled information on kidnapping, killing, and abduction incidents across Nigeria from September 2021 to September 2022. The dataset includes several important fields: Date: The exact date when each incident occurred, allowing for analysis of temporal trends. Location: The state and region where the incident took place, enabling geographic analysis to identify hotspots and patterns. Incident Type: Classification of incidents into kidnapping, killing, or abduction, which helps to determine the frequency and severity of each type. Demographics: Information about the victims, including gender and age, providing insights into the populations most affected by these incidents. This data offers a foundation for understanding the dynamics and impact of insecurity across different parts of Nigeria. ## Tools and Technologies The analysis was conducted using: Python: For data cleaning, analysis, and visualization. Pandas: To manipulate and analyze data. Matp …