Week 4 HMWK

#Library
library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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## ✔ forcats   1.0.1     ✔ stringr   1.6.0
## ✔ ggplot2   4.0.2     ✔ tibble    3.3.1
## ✔ lubridate 1.9.4     ✔ tidyr     1.3.2
## ✔ purrr     1.2.1     
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(readxl)

#set working directory
setwd("~/Desktop/My Class Stuff")

#Data

district <- read_excel("district.xls")

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

summary(districtclosing)

##    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 the missing values.

whatever<-districtclosing %>% drop_na()

There are 1202 observations left.

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

cor(whatever$DPETSPEP,whatever$DPFPASPEP)

## [1] 0.3700234

There is a moderate correlation between the money spent on special education and the percent of children attending special ed.