divinemorningstar76-rgb/Niger_Delta_Crime_Analysis

Crime Analysis of the Niger Delta using Python and Power BI # 🛡️ Niger Delta Crime Analysis Dashboard ## 📌 Project Overview This project analyzes crime trends across the Niger Delta region of Nigeria using Python for data analysis and Power BI for interactive dashboard visualization. The goal is to identify crime patterns and examine how poverty and unemployment relate to crime rates. --- ## 📊 Dashboard Preview --- ## 🎯 Project Objectives - Analyze crime trends over time. - Identify states with the highest crime occurrence. - Examine the relationship between poverty and crime. - Examine the relationship between unemployment and crime. - Create an interactive Power BI dashboard for decision-making. --- ## ❓ Business Questions Answered 1. Which Niger Delta state recorded the highest crime occurrence? 2. How has crime changed over the years? 3. Which crime type is most prevalent? 4. Is there a relationship between poverty and crime rate? 5. Is unemployment associated with crime occurrence? --- ## 📈 Python Visualizations ### Crime Trend Over the Years ### Crime Occurrence by State ### Poverty vs Crime Rate ### Monthly Crime Distribution --- ## 📊 Power BI Dashboard The interactive Power BI dashboard includes: - KPI Cards - Crime Trend Analysis - Crime by State - Scatter Plot - Interactive Filters The dashboard allows users to explore crime patterns across Niger Delta states. --- ## 🔍 Key Findings - Some states consistently recorded higher crime occurrence than others. - Crime trends varied across the years analyzed. - Poverty showed a noticeable relationship with crime rate. - Interactive filtering makes it easy to compare states and years. --- ## 🛠️ Tools Used - Python - Jupyter Notebook - Matplotlib - Power BI --- ## 📂 Repository Contents - README.md - Python Notebook (.ipynb) - Power BI Dashboard (.pbix) - Dataset (.csv) - Dashboard Screenshots --- ## 👤 Author **Meru Divine**