Nathan’s Homework 3

library("tidyverse")

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library("readxl")
district_data <- read_xls("district.xls")

HomeworkVariables<-district_data %>% select(DISTNAME,DPETSPEP,DPFPASPEP)

summary(HomeworkVariables)

##    DISTNAME            DPETSPEP       DPFPASPEP     
##  Length:1207        Min.   : 0.00   Min.   : 0.000  
##  Class :character   1st Qu.: 9.90   1st Qu.: 5.800  
##  Mode  :character   Median :12.10   Median : 8.900  
##                     Mean   :12.27   Mean   : 9.711  
##                     3rd Qu.:14.20   3rd Qu.:12.500  
##                     Max.   :51.70   Max.   :49.000  
##                                     NA's   :5

#DPFPASPEP has missing variables

HomeworkVariables_Clean<-HomeworkVariables %>% 
  drop_na(DPFPASPEP) 

ggplot(HomeworkVariables_Clean,aes(x=DPETSPEP,y=DPFPASPEP))+geom_point()

cor(HomeworkVariables_Clean$DPFPASPEP, HomeworkVariables_Clean$DPETSPEP)

## [1] 0.3700234

As the percentage of students in special education increases, spending on special education tends to increase but not strongly. There is a relatively low correlation and a significant number of outliers.