```
df <- tibble(
x = sample(10, 100, rep = TRUE),
y = sample(10, 100, rep = TRUE)
)
nrow(df)
nrow(distinct(df))
nrow(distinct(df, x, y))
distinct(df, x)
distinct(df, y)
# You can choose to keep all other variables as well
distinct(df, x, .keep_all = TRUE)
distinct(df, y, .keep_all = TRUE)
# You can also use distinct on computed variables
distinct(df, diff = abs(x - y))
# use across() to access select()-style semantics
distinct(starwars, across(contains("color")))
# Grouping -------------------------------------------------
# The same behaviour applies for grouped data frames,
# except that the grouping variables are always included
df <- tibble(
g = c(1, 1, 2, 2),
x = c(1, 1, 2, 1)
) %>% group_by(g)
df %>% distinct(x)
```

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