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sum

Computes the sum of values.

NA values (null and NaN) are ignored.

df.sum() // sum of values per every numeric column df.sum { age and weight } // sum of all values in `age` and `weight` df.sumFor { age and weight } // sum of values per `age` and `weight` separately df.sumOf { (weight ?: 0) / age } // sum of expression evaluated for every row
df.age.sum() df.groupBy { city }.sum() df.pivot { city }.sum() df.pivot { city }.groupBy { name.lastName }.sum()

See statistics for details on complex data aggregations.

Last modified: 29 March 2024