HW 3

library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
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## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(readxl)

district<-read_excel("district.xls")

data1<-district %>% select(DISTNAME,DPETSPEP,DPFPASPEP)

summary(data1)

##    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

The missing values are in DPFPASPEP.

data2<-data1%>%na.omit()

There are 1,202 observations remaining in data2

cor(data2$DPFPASPEP,data2$DPETSPEP)

## [1] 0.3700234

There is a weak correlation between spending on special education and the percent of students in special education.