#count total rows in data frame
nrow(df)
#count total rows with no NA values in any column of data frame
nrow(na.omit(df))
#count total rows with no NA values in specific column of data frame
nrow(df[!is.na(df$column_name),])
setNames(as.data.frame(table(df1$asa)), c("asa", "n"))
# asa n
#1 aa 3
#2 bb 2
#3 cc 1
#4 dd 1
df <- df[1:5,]
df %>%
count(column_to_check)
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