fix count kdocs

Author: AndreiKingsley

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/count.kt

@@ -40,17 +40,14 @@ public fun <T> DataColumn<T>.count(predicate: Predicate<T>? = null): Int =
 /**
  * Returns the number of columns in this [DataRow].
  *
- * For more information: {@include [DocumentationUrls.Count]}
- *
  * @return the number of columns in this row.
+ * @see [columnsCount].
  */
 public fun AnyRow.count(): Int = columnsCount()
 
 /**
  * Counts the number of elements in the current row that satisfy the given [predicate].
  *
- * For more information: {@include [DocumentationUrls.Count]}
- *
  * @param predicate A predicate function to test each element.
  * The predicate should return `true` for elements to be counted.
  * @return The number of elements that satisfy the predicate.
@@ -110,7 +107,7 @@ public inline fun <T> DataFrame<T>.count(predicate: RowFilter<T>): Int = rows().
  *
  * This is equivalent to applying `.aggregate { count() }`, but more efficient.
  *
- * See also common [aggregate][Grouped.aggregate].
+ * See also [DataFrame.groupBy] and common [aggregate][Grouped.aggregate].
  *
  * For more information: {@include [DocumentationUrls.Count]}
  *
@@ -143,7 +140,7 @@ public fun <T> Grouped<T>.count(resultName: String = "count"): DataFrame<T> =
  *
  * This is equivalent to calling `.aggregate { count(predicate) }`, but more efficient.
  *
- * See also: common [aggregate][Grouped.aggregate].
+ * See also [DataFrame.groupBy] and common [aggregate][Grouped.aggregate].
  *
  * For more information: {@include [DocumentationUrls.Count]}
  *
@@ -186,6 +183,7 @@ public inline fun <T> Grouped<T>.count(
  * This is equivalent to calling `.aggregate { count() }`, but more efficient.
  *
  * See also:
+ * - [pivot].
  * - common [aggregate][Pivot.aggregate].
  * - [pivotCounts][DataFrame.pivotCounts] shortcut.
  *
@@ -223,6 +221,7 @@ public fun <T> Pivot<T>.count(): DataRow<T> = delegate { count() }
  * This is equivalent to calling `.aggregate { count(predicate) }`, but more efficient.
  *
  * See also:
+ * - [pivot].
  * - common [aggregate][Pivot.aggregate].
  * - [pivotCounts][DataFrame.pivotCounts] shortcut.
  *
@@ -261,6 +260,7 @@ public inline fun <T> Pivot<T>.count(crossinline predicate: RowFilter<T>): DataR
  * This is equivalent to calling `.aggregate { count() }`, but more efficient.
  *
  * See also:
+ *  - [pivot], [DataFrame.groupBy], [Pivot.groupBy] and [GroupBy.pivot].
  *  - common [aggregate][PivotGroupBy.aggregate];
  *  - [GroupBy.pivotCounts] shortcut.
  *
@@ -297,6 +297,7 @@ public fun <T> PivotGroupBy<T>.count(): DataFrame<T> = aggregate { count() defau
  * This is equivalent to calling `.aggregate { count() }`, but more efficient.
  *
  * See also:
+ *  - [pivot], [DataFrame.groupBy], [Pivot.groupBy] and [GroupBy.pivot].
  *  - common [aggregate][PivotGroupBy.aggregate];
  *  - [GroupBy.pivotCounts] shortcut.
  *
@@ -314,8 +315,7 @@ public fun <T> PivotGroupBy<T>.count(): DataFrame<T> = aggregate { count() defau
  */
 public inline fun <T> PivotGroupBy<T>.count(crossinline predicate: RowFilter<T>): DataFrame<T> =
     aggregate {
-        count(predicate) default
-            0
+        count(predicate) default 0
     }
 
 // endregion

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/countDistinct.kt

@@ -7,6 +7,7 @@ import org.jetbrains.kotlinx.dataframe.DataFrame
 import org.jetbrains.kotlinx.dataframe.annotations.AccessApiOverload
 import org.jetbrains.kotlinx.dataframe.columns.toColumnSet
 import org.jetbrains.kotlinx.dataframe.documentation.DocumentationUrls
+import org.jetbrains.kotlinx.dataframe.documentation.ExcludeFromSources
 import org.jetbrains.kotlinx.dataframe.documentation.SelectingColumns
 import org.jetbrains.kotlinx.dataframe.indices
 import org.jetbrains.kotlinx.dataframe.util.DEPRECATED_ACCESS_API
@@ -31,7 +32,7 @@ import kotlin.reflect.KProperty
 public fun AnyFrame.countDistinct(): Int = countDistinct { all() }
 
 /**
- * Returns number of distinct combinations of values in selected [columns] in this [DataFrame].
+ * Returns number of distinct combinations of values in selected [columns\] in this [DataFrame].
  *
  * Compares values in the selected columns and returns
  * the number of unique values combinations.
@@ -44,6 +45,7 @@ public fun AnyFrame.countDistinct(): Int = countDistinct { all() }
  *
  * ### This [countDistinct] overload
  */
+@ExcludeFromSources
 internal interface CountDistinctDocs
 
 /**