Category Archives: DataViz

126,241 Heroin Arrests Visualized, Chicago 2001 – 2020

A look into heroin related arrests spanning almost 2 decades. The data is collected by the Chicago Police Department and available at Chicago Data Portal – Public Safety section. Click on static maps below to enlarge and/or play animation.

Full city map of all incidents.

West Side of Chicago. Heroin enforcement in the west side is so dense that city blocks are fully illuminated by incident reports.

West Side of Chicago over-time animation (Geo Temporal map). Interesting migration patterns can be seen here.

South Side of Chicago (2133x2917px).

South Side of Chicago over-time animation.

Over the last two decades CPD’s enforcement of heroin has gone down.

Time Lapse Maps of Residential Property Completion North of Chicago

Watch Cook County Grow over time!
Northern Triennial Townships. Residential Property Age visualized over time. Data ranges over 100 years. Data Source datacatalog.cookcountyil.gov

Assessment dataset used by the Cook County Assessor in their Computer Assisted Mass Appraisal (CAMA) system used to assess residential properties in Northern Triennial Townships.

[1821×727]

[1813×719]

New York City Drug Crime Map Visualizations

The data is collected by the New York Police Department. It can be found here data.cityofnewyork.us. To create the maps below, the dataset titled “NYPD Complaint Data Historic” was filtered down by the calcification of “Dangerous Drugs”. Carto was used to render maps.

[1261×341] Point map of incidents with screening. Click to enlarge.

[1585×1501] Heat map of incidents. Click to enlarge.

[935×837] Categorical point map by suspect’s race. Click to enlarge.

[800×668] Heatmap animation. 2008 – 2017 excluding Marijuana. Click to play.

Reddit’s most hateful subs, or subs most hated by r/AgainstHateSubreddits

I’ve always been interested in the ever dynamic classification of hate on Reddit. As the post modernist set of moralities continues to expand, more and more subjects, ideas, and opinions become taboo. A growing creep of egg shells in Reddit’s ecosystem. One particular subreddit spearheads the outrage operations: /r/AgainstHateSubreddits.

It being a new year, I wanted to get a clearer picture of the sub’s current targets. So I wrote a quick script to parse out all subreddits names from hot post titles and created a simple wordcloud. Font size emphasis is increased by frequency of occurrence.

Reddit’s Most Hateful Subs of 2019

Previous post looking into Reddit mod astroturfing and TheBanOut2018