A Jupyter Notebook with the data analysis and data visualization of crimes in Chicago from 2017 to 2023 using libraries such as seaborn and folium
The dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2017 to 2023. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system.
Several question were proposed in orden to get insights related with the crimes rates during that period of time (2017-2023) in Chicago:
1. How has been the change of numbers of crimes from 2017 to 2023?
2. What are the months, days of the week, and time of day with the highest crime rates?
3. What are the most common Types of Crimes?
4. How have most common crimes changed through time?
5. Analysis of Crimes with Arrest
6. Analysis of Domestic Crimes
7. Description and Location Analysis for Top 3 Crimes
8. Geographic Data Visualization for Crimes in Chicago
