SparkR (version 2.4.6)

describe: 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 SparkDataFrame,character
describe(x, col, ...)
# S4 method for SparkDataFrame,ANY
describe(x)

Arguments

x

a SparkDataFrame to be computed.

col

a string of name.

...

additional expressions.

Value

A SparkDataFrame.

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 {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
describe(df)
describe(df, "col1")
describe(df, "col1", "col2")
# }