R Markdown

#My dataset is the HUD Consolidated Planning CHAS Data (2107-2021 ACS 5 year estimate; county summary level) This data can be found at this link: https://www.huduser.gov/portal/datasets/cp.html

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")
HousingData <- read_csv("Table1.csv")
## Rows: 3221 Columns: 300
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr   (6): source, sumlevel, geoid, name, st, cnty
## dbl (294): T1_est1, T1_est2, T1_est3, T1_est4, T1_est5, T1_est6, T1_est7, T1...
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
summary(HousingData$T1_est1)
##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##      30    4165    9820   38872   25550 3342810
hist(HousingData$T1_est1)

plot(HousingData$T1_est1,HousingData$T1_est2)

cor(HousingData$T1_est1,HousingData$T1_est2)
## [1] 0.9817561