Ekezie, Janet Homework 3

library(readxl)
library(tidyverse)

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district<-read_excel("district.xls")
special_education_proportion <- district |> select("DISTNAME", "DPETSPEP", "DPFPASPEP")
summary(special_education_proportion$DPETSPEP)

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##    0.00    9.90   12.10   12.27   14.20   51.70

summary(special_education_proportion$DPFPASPEP)

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
##   0.000   5.800   8.900   9.711  12.500  49.000       5

cleaned_special_education_proportation <- special_education_proportion |> filter(DPFPASPEP>0)

ggplot(cleaned_special_education_proportation, aes(DPFPASPEP,DPETSPEP)) + 
 geom_point()

 cor(cleaned_special_education_proportation$DPFPASPEP, cleaned_special_education_proportation$DPETSPEP)

## [1] 0.371033

#negative correlation