Skip to content

Methodology: We defined the reporting deviation rate and total absolute reporting deviation rate to evaluate the media's reporting bias. In WP dataset analysis, we used FP-growth and word cloud to reveal the frequent patterns and DBSCAN clustering to find fatal shooting hotspots. We also implemented correlation analysis to analyze the correlatio…

Notifications You must be signed in to change notification settings

Yangxin666/US-fatal-police-shooting-analysis-and-prediction

Repository files navigation

CSC 440 Data Mining Final Project

University of Rochester Team member: Yuan Wang and Yangxin Fan

Code & Dataset

  1. Frequent pattern mining and correlation analysis.ipynb -> Dataset-1
  2. Correlation testing.Rmd -> Dataset-1
  3. Media Reporting Analysis.ipynb -> Dataset-2
  4. Chi-square-test, (DBSCAN, OPTICS, K-Means) Geo-spatial Clustering, K-mode Clustering for categorical attributes in WP Data.ipynb -> Dataset-2
  5. Victims' race prediction.ipynb -> Dataset-2

About

Methodology: We defined the reporting deviation rate and total absolute reporting deviation rate to evaluate the media's reporting bias. In WP dataset analysis, we used FP-growth and word cloud to reveal the frequent patterns and DBSCAN clustering to find fatal shooting hotspots. We also implemented correlation analysis to analyze the correlatio…

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published