Hello Professor I am very sorry I have searched high and low for a new data set that doesn’t suck and continue to come up empty handed. I wanted to redo the data selection before I turned in my hypothesis.
library(tidyverse)
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 3.5.2 ✔ tibble 3.3.0
## ✔ lubridate 1.9.4 ✔ tidyr 1.3.1
## ✔ purrr 1.1.0
## ── 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)
setwd("C:/Users/KaeRo/Desktop/R Studio/Reseach Data Selection")
library(readxl)
district <- read_excel("district.xls")
summary(district$DPETHISP)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.00 21.00 37.90 43.29 61.90 100.00
hist(district$DPETASIP)
plot(district$DPSTTOSA,district$DPSTWHFP)
Cor_district<-district %>% select(DPSTTOSA,DPSTWHFP) %>% drop_na()
cor(Cor_district$DPSTTOSA,Cor_district$DPSTWHFP)
## [1] -0.1932555