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https://github.com/hafidaso/competition-analyzing-crimes-in-la


https://github.com/hafidaso/competition-analyzing-crimes-in-la

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# LAPD Crime Data Analysis (2020-2022)

This project provides a comprehensive analysis of crime patterns in Los Angeles based on LAPD's crime dataset spanning 2020 to 2022.

![Image](https://github.com/hafidaso/Competition-Analyzing-Crimes-in-LA/blob/main/la_skyline.jpg)

## Table of Contents
- [Overview](#overview)
- [Dataset Description](#dataset-description)
- [Key Insights](#key-insights)
- [Technologies Used](#technologies-used)
- [Results](#results)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)

## Overview
The primary objective of this analysis is to uncover trends and patterns in crime data, which can aid the LAPD in decision-making, resource allocation, and strategic planning.

## Dataset Description
The dataset comprises several attributes, including date of occurrence, area, crime type, victim details, and more. [More details here](https://github.com/hafidaso/Competition-Analyzing-Crimes-in-LA/blob/main/data.zip).

## Key Insights
- Peak crime times are Fridays and late evenings (6 PM-12 AM).
- The Central area emerges as a significant hotspot for crimes.
- Residential zones witness high incidences of identity thefts and intimate partner assaults.
- Handguns and firearms are predominantly used in violent crimes.

[See detailed analysis and visualizations here](https://github.com/hafidaso/Competition-Analyzing-Crimes-in-LA/blob/main/Competition%20-%20Analyzing%20Crimes%20in%20LA.ipynb).

## Technologies Used
- Python
- Pandas
- Matplotlib
- Scikit-learn

## License
[License](https://github.com/hafidaso/Competition-Analyzing-Crimes-in-LA/blob/main/LICENSE)

## Contact
- 📧 Email: [[email protected]](mailto:[email protected])
- 🌐 Website: [https://ymadigital.com/](https://ymadigital.com/)
- 🔗 LinkedIn: [Hafida Belayd](https://www.linkedin.com/in/hafida-belayd/)