R Markdown

library(readxl)
district<-read_excel("district.xls")
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
new_data_frame = district %>% select(DISTNAME,DPETSPEP,DPFPASPEP)
summary(new_data_frame$DPETSPEP)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##    0.00    9.90   12.10   12.27   14.20   51.70
summary(new_data_frame$DPFPASPEP)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's 
##   0.000   5.800   8.900   9.711  12.500  49.000       5

```{r} #DPFPASPEP(money spent on special education) has five missing values

new_data_frame_cleaned=new_data_frame%>%filter(!is.na(DPFPASPEP))
length(new_data_frame_cleaned$DPFPASPEP)
## [1] 1202

``` r
ggplot(new_data_frame_cleaned,aes(DPETSPEP,DPFPASPEP))+geom_point()

cor(new_data_frame_cleaned$DPETSPEP,new_data_frame_cleaned$DPFPASPEP)
## [1] 0.3700234

There seems to be a weak correlation between percent special education and money spent on special education.