summary

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, ...)

summary(object, ...)

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

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

## S4 method for signature 'SparkDataFrame'
summary(object, ...)

Arguments

Value

A SparkDataFrame.

Note

describe(SparkDataFrame, character) since 1.4.0

describe(SparkDataFrame) since 1.4.0

summary(SparkDataFrame) since 1.5.0

See Also

Other SparkDataFrame functions: SparkDataFrame-class, agg, arrange, as.data.frame, attach,SparkDataFrame-method, cache, checkpoint, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, dapplyCollect, dapply, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, hint, histogram, insertInto, intersect, isLocal, isStreaming, join, limit, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, take, toJSON, union, unpersist, withColumn, 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)