Nine Days Naptown Tabular Data

Title of reference article:<br><i>Nine Days of Naptown Arrests: How and Why Spatial Data Should Discomfort Us</i>Author J. Kevin Byrne<i><br></i>Date authored: August 23, 2020Abstract: During nine successive days in 2019 Indianapolis (IN) police made arrests across six districts. <i>Exploratory spatial data analysis</i> (ESDA) revealed how variables of arrests, race, aggressive use of force (UOF), injuries, and their location interact with each other. <i>Scatterplots</i> with R-squared values &gt; 0.6 suggested aggressive UOF contributed to injuries of arrested residents across all races, Caucasian officers may have excessively injured arrested residents, and aggressive UOF correlated with arrests of African-Americans. Findings for <i>parallel-coordinate-plots</i> dove deeper in terms of spatial implications and ethical considerations (e.g., by visually demonstrating presence of a cluster of observed residents’ arrests as coinciding with African-American census geodemographics). This “small-sample” can surprise the reader. My conclusion proposed two aims: 1) solidify hypotheses (for further ESDA) that may induce ethical discomfort (a good thing) pertaining to the subject of <i>structural racism,</i> and 2) use findings to usher civic policymakers down more strident paths to sociocultural change.<br>A “raw” downloaded .csv file – titled <i>uof.csv</i> – was opened in MS Excel software. Specific columns that were deemed target variables for ESDA tasks were renamed, and counts were tabulated and aggregated into blocks of numbers that were matched to GIS-spatial boundaries named by Indianapolis (IN) police districts and zones. Everything was cleaned up so data could be seamlessly merged into GeoDa software.<br> My final table – titled <i>NineDaysNaptownPoliceData9Days20200808.xlsx</i> – as an MS Excel file is attached herewith.<br> Path to original source:https://www.projectcomport.org/department/IMPD/schema/useofforce/