Violent Crime Rates By US State

Manuel Martinez
22/11/2020

Data

Description: This data set contains statistics, in arrests per 100,000 residents for assault, murder, and rape in each of the 50 US states in 1973. Also given is the percent of the population living in urban areas.

Format: A data frame with 50 observations on 4 variables.

Murder numeric Murder arrests (per 100,000)
Assault numeric Assault arrests (per 100,000)
UrbanPop numeric Percent urban population
Rape numeric Rape arrests (per 100,000)

Description

summary(USArrests)

     Murder          Assault         UrbanPop          Rape      
 Min.   : 0.800   Min.   : 45.0   Min.   :32.00   Min.   : 7.30  
 1st Qu.: 4.075   1st Qu.:109.0   1st Qu.:54.50   1st Qu.:15.07  
 Median : 7.250   Median :159.0   Median :66.00   Median :20.10  
 Mean   : 7.788   Mean   :170.8   Mean   :65.54   Mean   :21.23  
 3rd Qu.:11.250   3rd Qu.:249.0   3rd Qu.:77.75   3rd Qu.:26.18  
 Max.   :17.400   Max.   :337.0   Max.   :91.00   Max.   :46.00

Codes for Histogram Plot

inputVar <- 'Rape'; inputBin <- 25; histVal <- USArrests[, inputVar]
hist(histVal, breaks = seq(min(histVal), max(histVal), length.out = inputBin+1),
     xlab = inputVar, main = paste('Distribution of', inputVar),
     col = 'darkgray', border = 'white')

plot of chunk unnamed-chunk-2

Codes for Scatter Plot

library(ggplot2)
scatX <- 'Murder'; scatY <- 'Rape'; scatC <- 'UrbanPop'
ggplot(data = USArrests, aes(x = Murder, y = Rape, color = UrbanPop)) + 
      geom_point() + xlab(scatX) + ylab(scatY) + labs(colour = scatC) +
      ggtitle(paste('Scatter plot of', scatX, 'vs', scatY)) +
      theme(plot.title = element_text(hjust = 0.5))

plot of chunk .smaller