Homework 3

library(readxl)

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

district<-read_excel("district.xls")

summary(district$DISTNAME)

##    Length     Class      Mode 
##      1207 character character

#No missing variables here

summary(district$DPETSPEP)

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

summary(district$DPFPASPEP)

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

#NA’s is 5

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

your_variable_here_cleaned<-newone%>% filter(!is.na(DPFPASPEP))

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

How this can be interpreted is that there is money for special eductation until around 20% then the money tapers off.

cor(your_variable_here_cleaned$DPETSPEP,your_variable_here_cleaned$DPFPASPEP)

## [1] 0.3700234