Crime In Los Angeles Analysis
Crime Data Analysis – Los Angeles Crime Trends This project analyzes crime trends using real-world police report data. It answers key questions about the timing, location, and victim demographics of crimes in Los Angeles.
📄 Dataset The project uses a CSV file crimes.csv with columns including:
DATE OCC, Date Rptd: when the crime occurred and was reported
TIME OCC: time of occurrence (HHMM format)
AREA NAME: name of the reporting district
Vict Age: age of the victim
🔍 Questions Answered Which hour has the highest frequency of crimes?
Which area has the highest number of night-time crimes (10 PM to 4 AM)?
What are the crime frequencies against victims in various age groups?
📈 Visualizations Histogram of crime by hour (0–23)
Bar chart of night crimes by area
Bar chart of victim age group frequencies
🛠️ Tools Used Pandas – data manipulation
NumPy – numerical operations
Seaborn & Matplotlib – data visualization
Python 3.x