library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.2.0 ✔ readr 2.1.6
## ✔ 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)
TEA_Data<-read_excel("district.xls")
community<-TEA_Data %>% select(DISTNAME,COMMTYPE,DPETALLC,DZRVLOCP)
summary(TEA_Data$DZRVLOCP)
## Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
## -6.20 21.10 35.30 37.92 53.70 97.60 5
summary(TEA_Data$DPETALLC)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 4.0 337.5 884.0 4476.3 2746.0 193727.0
hist(TEA_Data$DZRVLOCP)

plot(TEA_Data$DZRVLOCP,TEA_Data$DPETALLC)

TEA_Data_Clean<-community%>% drop_na(DZRVLOCP)
cor(TEA_Data_Clean$DZRVLOCP,TEA_Data_Clean$DPETALLC)
## [1] 0.1288399