| describe {SparkR} | R Documentation |
Computes statistics for numeric and string columns. If no columns are given, this function computes statistics for all numerical or string columns.
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, ...)
x |
a SparkDataFrame to be computed. |
col |
a string of name. |
... |
additional expressions. |
object |
a SparkDataFrame to be summarized. |
A SparkDataFrame.
describe(SparkDataFrame, character) since 1.4.0
describe(SparkDataFrame) since 1.4.0
summary(SparkDataFrame) since 1.5.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, arrange,
as.data.frame, attach,
cache, coalesce,
collect, colnames,
coltypes,
createOrReplaceTempView,
crossJoin, dapplyCollect,
dapply, dim,
distinct, dropDuplicates,
dropna, drop,
dtypes, except,
explain, filter,
first, gapplyCollect,
gapply, getNumPartitions,
group_by, head,
histogram, insertInto,
intersect, isLocal,
join, limit,
merge, mutate,
ncol, nrow,
persist, printSchema,
randomSplit, rbind,
registerTempTable, rename,
repartition, sample,
saveAsTable, schema,
selectExpr, select,
showDF, show,
storageLevel, str,
subset, take,
union, unpersist,
withColumn, with,
write.df, write.jdbc,
write.json, write.orc,
write.parquet, write.text
## 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)