17 years of illegal gambling in Chicago.
A look into Chicago Police Department’s history of Gambling related incident reports. The data came from https://data.cityofchicago.org
Curious as to what caused the decline over the last 17 years. Are people gambling less, or are police enforcing less?
Heat Map
Type Map (Click to enlarge)
Visualizing the formation of Close-packing defects using equal spheres.
I rolled a bunch of balls into a closed container. The top of the container is invisible and only tall enough to fit one layer of balls. once the balls finish falling, they arrange themseleves into some pretty interesting patterns.
All the usual suspects showed up:
– Point Defects, Crystallographic defect (Highlighted by different colors)
– Grain Boundaries, Lattice Regions seperated by different angles.
Below are a couple animations I rendered displaying the formation of the interesting lattice patterns.
A look into School Profile Information for the school year of 2016/2017.
Data set from Chicago Data Portal
School profile information for all schools in the Chicago Public School district for the school year 2016-2017.
Filter conditions used:
ACT vs Total Students By School Type
ACT vs Total Students By Majority Dmeographic
Maps (Click for Full Size)
Perspective from a room in which the floor, walls, and ceiling are made out of perfect mirrors. What would all those reflections look like? The images and animations below were rendered using Blender.
Mirror depth, 5 and 10. Empty room only contains light source.
Mirror depth 50 empty room and mirror depth 50 with visible objects (Click images for higher resolution)
The Denver Police Department recently released an interesting crime dataset at http://data.denvergov.org/dataset/city-and-county-of-denver-crime. The data represents approximately a half a decade worth of police incident reports. Date range January 2011 through mid-March 2016.
Below are some maps I created using CartoDB. Click on the images for higher resolution.
Cocaine
Cocaine (Sell vs. Possess)
Weapons
Heroin
Heroin (Sell vs. Possess)
Bonus Graffiti Map
Between stuffing their faces with Jaffa Cakes, and using the term “inn’it” after every statement, these Londoninians enjoy stealing each other’s bicycles.
2014 – 2015 Bicycle theft maps.
Click to enlarge [2576×1968] 6.16mb
[1549×1466] 1.6mb
The data is from data.police.uk. C# on how it was parsed can be found here.
Original Concept Art
Health Care Information Data Breaches Affecting 500 or More Individuals. [2010 – 2015] This data was found on /r/datasets, https://ocrportal.hhs.gov/ocr/breach/breach_report.jsf
“As required by section 13402(e)(4) of the HITECH Act, the Secretary must post a list of breaches of unsecured protected health information affecting 500 or more individuals. These breaches are now posted in a new, more accessible format that allows users to search and sort the posted breaches. Additionally, this new format includes brief summaries of the breach cases that OCR has investigated and closed, as well as the names of private practice providers who have reported breaches of unsecured protected health information to the Secretary. The following breaches have been reported to the Secretary“
State Map by Incidents.
State Map by Total individuals affected.
Yearly Incidents and Individuals affected.
Reasons and locations
A look into open data about crime and policing in England.
Found at https://data.police.uk/. I downloaded a date range from 2011 through 2016, ~5 years. The uncompressed filesize for all select-able policing forces was approximately 5.45 GB. A quick C# script was written to filter out only the “Drug” crime type category, and it’s long/lat degree coordinates.
The output was used to make the map below. Click map for larger size.
The downloadable data comes in a multi-directory/multi-file structure. Below is a c# console application which was created to parse the root folder, and export the specific crime type’s coordinates throughout out all the files.
Continue reading
One month of /hot/ going back from 3/19/2016 was parsed using c#. Below is a chart displaying all domains found with a frequency greater than 2.
