Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/18307#discussion_r125146093
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -2205,37 +2205,151 @@ class Dataset[T] private[sql](
* // max 92.0 192.0
* }}}
*
+ * See also [[summary]]
+ *
+ * @param cols Columns to compute statistics on.
+ *
* @group action
* @since 1.6.0
*/
@scala.annotation.varargs
- def describe(cols: String*): DataFrame = withPlan {
+ def describe(cols: String*): DataFrame = {
+ val selected = if (cols.isEmpty) this else select(cols.head,
cols.tail: _*)
+ selected.summary("count", "mean", "stddev", "min", "max")
+ }
+
+ /**
+ * Computes specified statistics for numeric and string columns.
Available statistics are:
--- End diff --
I'd also give an example of how to compute summary for specific columns.
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