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Count observations in JSON data.

Source: R/verb-count.R
count.Rd

count() groups the data by the given columns and counts the rows in each group. tally() counts rows for the existing grouping set by group_by() without adding new grouping columns. Both build on the group_by()/summarise() machinery and run in the browser.

Usage

# S3 method for class 'tbl_lazy_json'
count(x, ..., wt = NULL, sort = FALSE, name = NULL)

# S3 method for class 'tbl_lazy_json'
tally(x, wt = NULL, sort = FALSE, name = NULL)

Arguments

x

A tbl_lazy_json object.

...

Columns to group by before counting (for count()). Accepts the same inputs as group_by().

wt

Not supported; weighted counts are not implemented for tbl_lazy_json. Supplying a non-NULL value raises an error.

sort

If TRUE, order the result by the count column descending.

name

Name of the count column in the output. NULL uses "n".

Value

A tbl_lazy_json object with the count appended as a lazy compute step. When evaluated it yields one row per group with the count column (named by name, default "n") added.

Examples

if (interactive()) {
  tbl(session, "mtcars") |> count(cyl)
  tbl(session, "mtcars") |> count(cyl, sort = TRUE)
  tbl(session, "mtcars") |> group_by(cyl) |> tally()
}