homework 3 html

library(tidyverse)

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library(readxl)

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district<-read_excel("district.xls")

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

summary(data1)

##       DISTNAME       DPETSPEP       DPFPASPEP     
##  Length   :1207   Min.   : 0.00   Min.   : 0.000  
##  N.unique :1196   1st Qu.: 9.90   1st Qu.: 5.800  
##  N.blank  :   0   Median :12.10   Median : 8.900  
##  Min.nchar:   7   Mean   :12.27   Mean   : 9.711  
##  Max.nchar:  50   3rd Qu.:14.20   3rd Qu.:12.500  
##                   Max.   :51.70   Max.   :49.000  
##                                   NAs    :5

which variable as missing values? DPFPASPEP has missing values.

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

1,207 observations in data1. 1,202 observations are left in data2.

cor(data2$DPFPASPEP,data2$DPETSPEP)

## [1] 0.3700234

my interpretation: positive correlation, but not a strong correlation. a positive weak correlation between spending on special education and the percent of students in special education.