An automatically-updating analysis of police killings in the United States using data from Mapping Police Violence, with static visualizations showing temporal trends, demographic patterns, and geographic distributions.
An interactive Shiny dashboard for exploring temporal, demographic, and geographic patterns in the Mapping Police Violence dataset.
Introduction Researchers might be interested in developing a descriptive understanding of the gender and race composition of a particular industry, organization, or other institution. Oftentimes this is done with sampling from a population.
The article begins with promises of a “deep dive” but ends up misjudging the depth of the pool. It soon became clear where the author went wrong: He forgot to listen to cops.
Libraries library(tidytext) library(ggthemes) library(tidyverse) library(ggplot2) library(dplyr) library(scales) Load Previous STM Objects I have previously run stm models for topics ranging from 3 to 25. Based on the fit indices, a six-topic model was selected.
“That’s the problem with police, you don’t show enough feeling,” she said. “You don’t feel enough.” She’s right, of course.
A drowning in a desert town with no lakes.
I was dispatched on a gunshot. The 65-year-old mother reported her son had just shot himself. She was refusing to provide CPR or go see if he was okay.