Calculate Multiple Summary Statistics by Group in One Call | aggregate() | Base R & dplyr Package

R code of this video:

groups = letters[1:5])

aggregate(values ~ groups,
data,
FUN = function(x) c(mean(x), sum(x), sd(x))))
colnames(data_summary1) ＜- c("groups", "my_mean", "my_sum", "my_sd")

library("dplyr")

data_summary2 ＜- data %＞% # Calculate summary stats using dplyr
group_by(groups) %＞%
dplyr::summarize_all(list(my_mean = mean,
my_sum = sum,
my_sd = sd)) %＞%

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[bkkoumi]

How can I summarize a table with multiple variables, including categorical variables for, say 5 States, grouping the variables by State?