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Functions
get-alt-text - Read the alt text stored on a plot spec.
qnorm - Inverse of the standard-normal cumulative distribution function.
resolution - Smallest non-zero gap between unique numeric values in values.
Binning helpers
cut-interval - Cut a numeric vector into n equal-width bins.
cut-number - Cut a numeric vector into n bins of (approximately) equal count.
cut-width - Cut a numeric vector into bins of fixed width.
Data wrangling
anti-join - Keep the rows of x that have no match in y, adding no columns.
bind-cols - Glue datasets side by side (column bind).
bind-rows - Stack datasets on top of each other (row union).
count - Count the rows in each group, one output row per group.
distinct - Keep the first row of each distinct combination of the named columns.
drop-na - Drop rows carrying a missing value in the named columns.
full-join - Keep every row of both x and y, matching on the key columns.
inner-join - Keep only the rows of x and y that share a key.
left-join - Keep every row of x, adding the matching columns from y.
pivot-longer - Melt several columns into a single name/value column pair (wide to long).
pivot-wider - Spread a name column and a value column into one column per name (long to wide).
relocate - Move columns to a new position, keeping their values and every other column.
rename - Rename columns, leaving every other column and the column order unchanged.
select - Keep only the named columns, in the given order.
semi-join - Keep the rows of x that have a match in y, adding no columns.
slice-max - Keep the n rows with the largest value of col.
slice-min - Keep the n rows with the smallest value of col.
summarise - Collapse each group of rows to a single row of named aggregations.
Summary functions
mean - Mean as a degenerate summary (y, ymin: y, ymax: y).
mean-cl-boot - Mean with a bootstrap percentile confidence interval.
mean-cl-normal - Mean with normal-approximation confidence interval.
mean-sd - Mean and standard-deviation band: mean ± multiplier * sd.
mean-se - Mean and standard-error band: mean ± multiplier * se.
median - Median as a degenerate summary (y, ymin: y, ymax: y).
median-hilow - Median plus a central interval covering conf proportion of the data.
quantile - Single quantile as a degenerate summary (y, ymin: y, ymax: y).
quantiles - Three quantiles packed into the standard summary shape.
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