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library(tidyverse)
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library(readxl)
district <-read_excel("district (2).xls")
data<-district %>% select(DPETECOP,DA0912DR21R)
summary(data)
##     DPETECOP       DA0912DR21R    
##  Min.   :  0.00   Min.   :-1.000  
##  1st Qu.: 47.95   1st Qu.: 0.000  
##  Median : 61.90   Median : 0.400  
##  Mean   : 60.75   Mean   : 1.243  
##  3rd Qu.: 77.15   3rd Qu.: 1.400  
##  Max.   :100.00   Max.   :50.500  
##                   NAs    :112
data1<-data%>% na.omit()
hist(data$DPETECOP)

hist(data$DA0912DR21R)

I created a summary of STUDENTS: % ECONOMICALLY DISADVANTAGED and ANNUAL DROPOUT RATE GR. 9-12 (2020-21). The i put them in a histogram.

plot(data1$DPETECOP,data1$DA0912DR21R)

cor(data1$DPETECOP,data1$DA0912DR21R)
## [1] 0.2440435

I then plotted them and compared the data. It looks like there is a weak correlation between percent of economically disadvantaged and annual drop out rate.