StadiumData

#load Packages
library(tidyverse)

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr     1.2.1     ✔ readr     2.2.0
## ✔ forcats   1.0.1     ✔ stringr   1.6.0
## ✔ ggplot2   4.0.3     ✔ tibble    3.3.1
## ✔ lubridate 1.9.5     ✔ tidyr     1.3.2
## ✔ purrr     1.2.2     
## ── 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)

Stadium <- read_csv("us_sportsvenues1909_2027.csv")

## Rows: 219 Columns: 11
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (3): venuename, teams, source
## dbl (8): year, totalcost, publiccost, totalcost2020, publiccost2020, pubpct1...
## 
## 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.

 data<- Stadium %>% na.omit

summary(data$publiccost2020)

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##     0.0     0.0   156.2   190.1   286.2  1228.5

hist(data$publiccost2020)

plot(data$publiccost,data$totalcost2020)

 cor(data$publiccost2020,data$totalcost2020)

## [1] 0.4671439