📌Project Overview
This project provides an in-depth analysis of crime data using Power BI. The dataset includes various crime attributes such as type, location, time, and status. Through interactive dashboards, users can gain valuable insights into crime patterns, trends, and distributions.
🚀Features
- Interactive Dashboards 📊 for data visualization
- Crime Trends Analysis 🕵️♂️
- Geospatial Mapping 📍 to analyze crime locations
- Demographic Insights 📈 on victims
- Filterable Reports 🔍 for deep exploration
🔗Live Dashboard
Experience the interactive Power BI dashboard here:
🔗Microsoft Power BI
📂Dataset Description
The dataset includes:
- More than 1 million crime records in the United States from 2020 to 2024 📅
- Most crimes occurred in the first quarter of the year, particularly in January ❄️
- The highest crime activity was recorded in 2022 and 2023 📊
- The most common crimes were theft-related incidents 🏠🚗
- Crime Type (Assault, Theft, Vandalism, etc.)
- Date & Time of Incident
- Location Information (Latitude, Longitude, Cross Streets)
- Weapons Used
- Victim Demographics (Age, Gender, Ethnicity)
📥Download Dataset
You can access the dataset from Google Drive:
📂Crime Data
🛠️ Technologies Used
- Power BI for data visualization
- Excel/CSV for data preprocessing
- Python (optional) for data cleaning and transformation
📌How to Use
- Visit the Power BI Dashboard via the provided link.
- Use filters to explore crime trends in different areas.
- Analyze victim demographics and crime locations.
👤About Me
👋Hi, I'm Rufyda Rahma, a data analyst passionate about uncovering insights through data visualization. Connect with me on LinkedIn!
⭐Contribute
If you have any suggestions or improvements, feel free to open an issue or fork the repository.
📢 Don't forget to give this project a ⭐ on GitHub!
Rufyda (Rufyda Rahma)
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