docs fixes

Author: AndreiKingsley

docs/StardustDocs/topics/collectionsInterop/associate.md

@@ -1,15 +1,15 @@
 # associate
 
 <web-summary>
-Discover `associate` interop for Kotlin DataFrame.
+Discover `associate` operation for Kotlin DataFrame.
 </web-summary>
 
 <card-summary>
-Discover `associate` interop for Kotlin DataFrame.
+Discover `associate` operation for Kotlin DataFrame.
 </card-summary>
 
 <link-summary>
-Discover `associate` interop for Kotlin DataFrame.
+Discover `associate` operation for Kotlin DataFrame.
 </link-summary>
 
 <!---IMPORT org.jetbrains.kotlinx.dataframe.samples.api.collectionsInterop.AssociateSamples-->
@@ -23,7 +23,7 @@ If multiple rows produce the same key, only the last value for that key is kept.
 ```kotlin
 df.associate { pairSelector }
 
-pairSelector := (DataRow) -> Pair
+pairSelector: (DataRow) -> Pair
 ```
 
 ### Related functions

docs/StardustDocs/topics/collectionsInterop/associateBy.md

@@ -1,15 +1,15 @@
 # associateBy
 
 <web-summary>
-Discover `associateBy` interop for Kotlin DataFrame.
+Discover `associateBy` operation for Kotlin DataFrame.
 </web-summary>
 
 <card-summary>
-Discover `associateBy` interop for Kotlin DataFrame.
+Discover `associateBy` operation for Kotlin DataFrame.
 </card-summary>
 
 <link-summary>
-Discover `associateBy` interop for Kotlin DataFrame.
+Discover `associateBy` operation for Kotlin DataFrame.
 </link-summary>
 
 <!---IMPORT org.jetbrains.kotlinx.dataframe.samples.api.collectionsInterop.AssociateBySamples-->
@@ -26,7 +26,7 @@ function.
 ```kotlin
 df.associateBy { keySelector }
 
-keySelector := (DataRow) -> Key
+keySelector: (DataRow) -> Key
 ```
 
 ### Related functions

docs/StardustDocs/topics/info/tail.md

@@ -15,14 +15,17 @@ Discover `tail` operation in Kotlin Dataframe.
 
 <!---IMPORT org.jetbrains.kotlinx.dataframe.samples.api.info.TailSamples-->
 
-Returns a [`DataFrame`](DataFrame.md) with the last `numRows` rows.
+Returns a [`DataFrame`](DataFrame.md) with the last five rows.
 
-This is equivalent to calling [`takeLast`](sliceRows.md#takelast) with the same argument. By default, `numRows = 5`.
+This is equivalent to calling [`takeLast`](sliceRows.md#takelast) with the same `numRows` argument.
+By default, `numRows = 5`.
 
 ```kotlin
-df.tail(numRows: Int)
+df.tail(numRows: Int = 5)
 ```
 
+**Related operations**: [`head`](head.md), [`takeLast`](sliceRows.md#takelast), [`take`](sliceRows.md#take).
+
 ### Examples
 
 <!---FUN notebook_test_tail_1-->

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

@@ -20,3 +20,5 @@ Returns values of this [`DataColumn`](DataColumn.md) as
 ```kotlin
 col.asIterable()
 ```
+
+**Related operation**: [](asSequenceColumn.md).

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

@@ -20,3 +20,5 @@ Returns values of this [`DataColumn`](DataColumn.md) as
 ```kotlin
 col.asSequence()
 ```
+
+**Related operation**: [](asIterable.md).

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

@@ -45,7 +45,7 @@ df.age.between(left = 18, right = 25)
 <!---END-->
 <inline-frame src="./resources/notebook_test_between_2.html" width="100%" height="500px"></inline-frame>
 
-Strictly between 18 and 25 (exclude boundaries):
+Strictly between 18 and 25 (excluding boundaries):
 <!---FUN notebook_test_between_3-->
 
 ```kotlin

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

@@ -22,7 +22,7 @@ Returns `Boolean` — `true` if every row satisfies the predicate, `false` other
 ```kotlin
 all { rowCondition }
 
-rowCondition := (DataRow) -> Boolean
+rowCondition: (DataRow) -> Boolean
 ```
 
 **Related operations**: [](any.md), [](filter.md), [](single.md), [](count.md).

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

@@ -22,7 +22,7 @@ Returns `Boolean` — `true` if there is at least one row that satisfies the pre
 ```kotlin
 df.any { rowCondition }
 
-rowCondition := (DataRow) -> Boolean
+rowCondition: (DataRow) -> Boolean
 ```
 
 **Related operations**: [](all.md), [](filter.md), [](single.md), [](count.md).

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

@@ -19,7 +19,7 @@ Splits a [`DataFrame`](DataFrame.md) into consecutive sub-dataframes (chunks) an
 [`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."
+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.

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

@@ -18,7 +18,7 @@ Discover `shuffle` operation in Kotlin Dataframe.
 Returns a new [`DataFrame`](DataFrame.md) with rows in random order.
 
 You can supply a [kotlin.random.Random](https://kotlinlang.org/api/latest/jvm/stdlib/kotlin.random/-random/)
-instance for reproducible results.
+instance with a fixed seed for reproducible results.
 
 ```Kotlin
 df.shuffle()