Homework 3

library(readxl)
district<-read_excel("district.xls")
library(tidyverse)

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#2.)create an R markdown with "DISTNAME", "DPETSPEP", and "DPFPASPEP".
obj2<-district %>% select(DISTNAME,DPETSPEP,DPFPASPEP)

#3.)"summary()" statistics for both DPETSPEP and DFPASPEP.
summary(obj2)

##    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

4.) which variable has missing values? - The variable DPFPASPEP has 5 NA’s.

#5.)remove the missing observations. 
obj2_cleaned<-obj2 %>% filter(!is.na(DPFPASPEP))
#How many are left overall? - Originally, there were 1207 observations and after removing NA's, there are now 1202 observations.

#6.) create a point graph to compare DPFPASPEP and DPETSPEP.
ggplot(obj2,aes(DPETSPEP,DPFPASPEP)) + geom_point()

## Warning: Removed 5 rows containing missing values or values outside the scale range
## (`geom_point()`).

#6.) Are they correlated - No, they are not correlated. 
#7.) Do a mathematical check of DPFPASPEP and DPETSPEP. What is the result? 
cor(obj2_cleaned$DPETSPEP,obj2_cleaned$DPFPASPEP)

## [1] 0.3700234

8.) How would you interpret these results? - the theory is that the more special education students you have, the more a district spends on the special education department. What it shows it that some districts spend more on a small percentage of special education students while other districts have high percentage of special education students and spend around the same amount as those districts that have small percentages.