R package for accessing data from the Crime Open Database
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Updated
Nov 8, 2023 - R
R package for accessing data from the Crime Open Database
R package with helper functions for Poisson data
The analysis tackles the following: -Descriptive visualization; Histogram, Boxplot, and Bar plot. -Exploring the relationship in the data by doing hierarchical clustering, Linear Regression, Scatterplot, and Heatmap. -Data interrogation and analysis to determine the meaning of the data, which will be justified by visualisations (Geo-mapping).
Open crime data from US cities in a harmonised format
A dashboard for visualization of crime rate from a dataset collected in the 1990s, including interactive map, data filtering, and factor analysis.
Analysis and parsing of crime data from around the world using SQL, R, and Python. Creates a heat map and more visualisations in the future.
Crime analysis tools using R
Analysis of crime data by U.S. Census Bureau block groups within the city of San Diego.
Analyzed FBI Crime Statistics through clustering and machine learning models using R
With the rapid improvement of lifestyle and urbanization, the graph of crimes is also on the increase. As the report says that India has a high illiteracy rate, high population density, low job opportunities, these have become one of the reasons for the high crime rate in India. Due to different problems in every state, different states have dif…
R Dashboard that provides insights on questions asked on the Crime Surveillance System - Survey. The questions are based on how communities feel about crime related to arson, common assault and possession of deadly weapons. Additionally, on how the implementation of smart surveillance systems would help in detecting the crimes mentioned in real-…
An app to visualise, map and predict crime. It is a Proof of Concept for future web applications. Data is from the City of São Paulo.
This was the final product of my masters degree capstone project. It is an R Shiny application showcasing an analysis of KCPD Crime Databetween 2016 and 2019. In the project I used a Poisson distribution to forecast hotsposts of crime around Kansas City using crime data, and census data from the U. S. Census Bureau.
Project for Open Data course
Rshiny Dashboard
Is there a correlation between crime and fear of crime? 🤔
Experimenting with dataframes --> early days of learning R
A selection of Shiny apps
Crime analysis and visualization in the city of Boston. Utilizing Boston Police Department's dataset available at https://data.boston.gov/dataset/crime-incident-reports-august-2015-to-date-source-new-system . Project currently in progress
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