This repository contains the code for a crime forecasting Shiny dashboard that utilizes time series analysis to predict crime trends in the city of Barranquilla. The dashboard provides insights into criminal activity and enables law enforcement agencies to make data-driven decisions about crime prevention and response efforts.
- Crime forecasting based on time series analysis techniques
- Interactive dashboard to visualize crime patterns, trends over time and predict future crime activity
- Crime data sourced from the National Police of Colombia public database
App is currently hosted on shinyapps.io here: Barranquilla Crime Forecasting App
About
Explore Time Series
Forecast with different Models
Ensemble Forecast
feasts package was used for seasonal summaries and autocorrelation plots.
anomalize package was used for anomaly detection.
modeltime and parsnip were used for modeling.
App was created using shiny, and shinydashboardPlus.
Theming was done with fresh. Other components used: shinybusy and, summaryBox.
Icons from Font Awesome.
For more information please contact:
| Name | |
|---|---|
| Maria Aroca | [email protected] or [email protected] |