between and chunked docs

docs/StardustDocs/d.tree

@@ -137,6 +137,7 @@
  <toc-element topic="ungroup.md"/>
  <toc-element topic="update.md"/>
  <toc-element topic="xs.md"/>
+ <toc-element topic="chunked.md" toc-title="chunked"/>
  <toc-element topic="addRemove.md" hidden="true"/>
  <toc-element topic="sliceRows.md" hidden="true"/>
  <toc-element topic="filterRows.md" hidden="true"/>
@@ -181,6 +182,7 @@
  <toc-element topic="columnStatistics.md" toc-title="Statistics"/>
  <toc-element topic="asIterable.md"/>
  <toc-element topic="asSequenceColumn.md" toc-title="asSequence"/>
+ <toc-element topic="between.md"/>
  </toc-element>
  <toc-element topic="ColumnSelectors.md"/>
  <toc-element topic="Utils.md">

docs/StardustDocs/topics/operations/column/between.md

@@ -0,0 +1,24 @@
+# between
+
+
+<web-summary>
+Return a Boolean DataColumn indicating whether each value lies between two bounds.
+</web-summary>
+
+<card-summary>
+Return a Boolean DataColumn indicating whether each value lies between two bounds.
+</card-summary>
+
+<link-summary>
+Return a Boolean DataColumn indicating whether each value lies between two bounds.
+</link-summary>
+
+
+Returns a [`DataColumn`](DataColumn.md) of `Boolean` values indicating whether each element in this column
+lies between the given lower and upper boundaries.
+
+If `includeBoundaries` is `true` (default), values equal to the lower or upper boundary are also considered in range.
+
+```kotlin
+col.between(left, right, includeBoundaries)
+```

docs/StardustDocs/topics/operations/utils/chunked.md

@@ -0,0 +1,32 @@
+# chunked
+
+
+<web-summary>
+Discover `chunked` operation in Kotlin Dataframe.
+</web-summary>
+
+<card-summary>
+Discover `chunked` operation in Kotlin Dataframe.
+</card-summary>
+
+<link-summary>
+Discover `chunked` operation in Kotlin Dataframe.
+</link-summary>
+
+
+Splits a [`DataFrame`](DataFrame.md) into consecutive sub-dataframes (chunks) and returns them as a
+[`FrameColumn`](DataColumn.md#framecolumn). Chunks are formed in order and do not overlap.
+
+Each chunk contains at most the specified number of rows.
+The resulting FrameColumn’s name can be customized; by default, it is "groups."
+
+`DataFrame` can be split into chunks in two ways :
+- By fixed size: split into chunks of up to the given size.
+- By start indices: split using custom zero-based start indices for each chunk; 
+each chunk ends right before the next start index or the end of the DataFrame.
+
+
+```kotlin
+df.chunked(size: Int, name: String)
+df.chunked(startIndices: Iterable<Int>, name: String)
+```