PAD 6833 Omar Nesbit Homework 4

library(readxl)
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   3.5.1     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ✔ purrr     1.0.2     
## ── 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

Hot<-read_excel("HOTax.xlsx")

Hot_clean<-Hot %>%filter(!is.na(`Tax Code Ch. 351 Rate`)&!is.na(`Tax Code Ch. 351 Revenue`)&!is.na(`Advertising Percentages`))

summary(Hot_clean$`Tax Code Ch. 351 Rate`,Hot_clean$`Tax Code Ch. 351 Revenue`,Hot_clean$`Advertising Percentages`)

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##   0.070   7.000   7.000   6.662   7.000   9.000

hist(Hot_clean$`Tax Code Ch. 351 Rate`)

hist(Hot_clean$`Tax Code Ch. 351 Revenue`)

hist(Hot_clean$`Advertising Percentages`)

plot(Hot_clean$`Tax Code Ch. 351 Rate`,Hot_clean$`Tax Code Ch. 351 Revenue`)

cor(Hot_clean$`Tax Code Ch. 351 Rate`,Hot_clean$`Tax Code Ch. 351 Revenue`)

## [1] 0.03508806