describe {SparkR}R Documentation

describe

Description

Computes statistics for numeric and string columns. If no columns are given, this function computes statistics for all numerical or string columns.

Usage

describe(x, col, ...)

## S4 method for signature 'SparkDataFrame,character'
describe(x, col, ...)

## S4 method for signature 'SparkDataFrame,ANY'
describe(x)

Arguments

x

a SparkDataFrame to be computed.

col

a string of name.

...

additional expressions.

Value

A SparkDataFrame.

Note

describe(SparkDataFrame, character) since 1.4.0

describe(SparkDataFrame) since 1.4.0

See Also

See summary for expanded statistics and control over which statistics to compute.

Other SparkDataFrame functions: SparkDataFrame-class, agg, alias, arrange, as.data.frame, attach,SparkDataFrame-method, broadcast, cache, checkpoint, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, cube, dapplyCollect, dapply, dim, distinct, dropDuplicates, dropna, drop, dtypes, exceptAll, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, hint, histogram, insertInto, intersectAll, intersect, isLocal, isStreaming, join, limit, localCheckpoint, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, rename, repartitionByRange, repartition, rollup, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, summary, take, toJSON, unionByName, union, unpersist, withColumn, withWatermark, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.stream, write.text

Examples

## Not run: 
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D describe(df)
##D describe(df, "col1")
##D describe(df, "col1", "col2")
## End(Not run)

[Package SparkR version 2.4.1 Index]