Data analysis and visualization on crimes in Boston

Analyze the crime data from San Francisco using exploratory data analysis (EDA)

Investigating the problem of slowing police response rates and evaluating if a practical software solution can be produced to predict and provide informed decisions to ground officers

A simple crime statistics app, used to get UK crime data based on location, crime categories and dates.

A Crime Statistics dashboard to visualise the trend of crime rates in America

This is a project made by me to study CrimeRate in Maringá(PR) using Pandas and Seaborn in Python.

DATA MINING 18IS62

This project analyzes hate crimes reported in the NYPD using data from a Kaggle dataset. It explores temporal and spatial patterns, offense types, bias motivations, and arrest trends. The analysis involves data cleaning, preprocessing, and visualization to reveal insights into crime trends and geographical concentrations.

Project for Open Data course

This repository is dedicated to raising awareness about possible crimes in Derbyshire through the critical analysis of the different crimes

Data Ingestion Lab with Nifi and Data Analysis on PySpark and Pandas of UK Police Crime API

Crime analysis tools using R

In this simulation, we will explore the Los Angeles crime statistics, specifically rapes, based on law enforcement data.

Link of the dataset: https://catalog.data.gov/dataset/crime-data-from-2020-to-present

The goal of this project is to reduce the number of safety incidents riders experience by optimizing the officer allocation per region to deter crime.

Detecting the key reason for crime(manslaughter) happened in 30 years. There's a lot of aspect present in the data published by US government. The data and the finding can be used in any country prospect,if not all but handy few.

This repo contains all files needed for visualizing and analyzing crime situation in California from 2000-2013 with Tableau Dashboard.

A console based projects in which the camera detects the face of a criminal and updates the location of the criminal to a realtime database to alert the officers in the control room . STACK USED - Python , OpenCv , Firebase

Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.