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Crime in Chicago: 2001 to 2019

<p>A complete list of crimes committed in Chicago between the years 2001 – 2019 (inclusive), and was studied by Sainsbury-Dale et al. (2023). The data were provided by the Chicago Police Department and originally downloaded from the now retired open data source website, Plenario.</p><p>Before pre-processing, the data set contained 7,138,725 observations. However, 68,904 observations did not have a location recorded and were removed. A further 163 observations were removed as they were recorded at coordinates (36.619446395, -91.686565684), which is on the border of Missouri and Arkansas (certainly not in Chicago, Illinois). This left 7,069,658 valid observations.&nbsp;</p><p>The data contains the following fields:</p><ul><li>id : An identifier unique to each crime.</li><li>case_number : The case number of each crime.</li><li>date : The date and time at which each crime took place.</li><li>block : The neighbourhood block at which each crime occurred.</li><li>primary_type : A factor indicating the type of each crime (e.g., burgulary, theft, etc.).</li><li>description : A brief description of each crime.</li><li>location_description : A brief description of the location at which each crime occurred.</li><li>arrest : Logical indicating whether or not an arrest was made for each associated crime.</li><li>district : The district at which each crime occurred.</li><li>community_area : The community_area at which each crime occurred.</li><li>fbi_code : Federal Bureau of Investigation (FBI) code of each crime.</li><li>year : The year in which the crime occurred.</li><li>longitude : Latitude location of each.</li><li>latitute : Longitude location of each crime.</li><li>location : Latitude and Longitude (in that order) of each crime.</li></ul><p>&nbsp;</p><p><strong>References&nbsp;</strong></p><p>Sainsbury-Dale, M., Zammit-Mangion, A., and Cressie, N. (2023). Modelling big, heterogeneous, non-Gaussian spatial and spatio-temporal data using FRK. <i>Journal of Statistical Software</i>, to appear.&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
8
Access
16
Reuse readiness
8
Engagement
0