Load the information

library(tidyverse)
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## ✖ dplyr::filter() masks stats::filter()
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scorecard = read.csv("https://asayanalytics.com/scorecard_csv")

A hypothesis

What state costs the most?

scorecard %>%
  group_by(STABBR) %>%
  summarize(`Average Cost` = mean(COSTT4_A, NA.rm=TRUE)) %>%
  ggplot(aes(x=STABBR, y=`Average Cost`)) +
  geom_col()