The dataset has information about race of the victim in each shooting as well as the location where the shooting occurred. I found a new dataset on the internet (source) which has information about each US city’s share of each race. This is based on the census data. This dataset has the following columns – City, State, Share_white, Share_Black, Share_Hispanic, Share_Native, Share_Asian and Share_other. All the Share variables are floats between 0 to 1 signifying the percentage of the population in the city that are the said race.
This data can be used in the analysis as it provides information about the racial demographic in each city. A machine learning model will pull insights from the demographic information of each city when predicting which race a person that was shot could be.