As part of my AI and machine learning program, I just finished a data processing course. During the course, I worked with Python modules such as Pandas, Seaborn, and Plotly Express.
For the last assignment, I analysed crime data from Chicago to answer various questions.
Important
This is only a select portion of the assignment, and not the entire project (i.e. not all questions are included). In this notebook, I specifically want to showcase the data visualisation work I've done. 😁
◆ Data Sources:
-
Chicago crime data: https://data.cityofchicago.org/Public-Safety/Crimes-2001-to-Present/ijzp-q8t2
-
Chicago census data: https://data.cityofchicago.org/Health-Human-Services/Census-Data-Selected-socioeconomic-indicators-in-C/kn9c-c2s2
-
Chicago community areas GeoJSON: https://data.cityofchicago.org/resource/igwz-8jzy.geojson
Note
The Plotly plot and the two interactive maps don't render in the Jupyter Notebook here on GitHub - I solved this by saving them as HTML files, which can be opened in any browser of your choice.