ran korro

Author: Jolanrensen

docs/StardustDocs/snippets/org.jetbrains.kotlinx.dataframe.samples.api.Analyze.describe.html

@@ -491,7 +491,7 @@
 /*<!--*/
 call_DataFrame(function() { DataFrame.addTable({ cols: [{ name: "<span title=\"name: String\">name</span>", children: [], rightAlign: false, values: ["firstName","lastName","age","city","weight","isHappy"] }, 
 { name: "<span title=\"path: ColumnPath\">path</span>", children: [], rightAlign: false, values: ["<span class=\"formatted\" title=\"name\nfirstName\"><span class=\"structural\">[</span>name<span class=\"structural\">, </span>firstName<span class=\"structural\">]</span></span>","<span class=\"formatted\" title=\"name\nlastName\"><span class=\"structural\">[</span>name<span class=\"structural\">, </span>lastName<span class=\"structural\">]</span></span>","<span class=\"formatted\" title=\"age\"><span class=\"structural\">[</span>age<span class=\"structural\">]</span></span>","<span class=\"formatted\" title=\"city\"><span class=\"structural\">[</span>city<span class=\"structural\">]</span></span>","<span class=\"formatted\" title=\"weight\"><span class=\"structural\">[</span>weight<span class=\"structural\">]</span></span>","<span class=\"formatted\" title=\"isHappy\"><span class=\"structural\">[</span>isHappy<span class=\"structural\">]</span></span>"] }, 
-{ name: "<span title=\"type: Any\">type</span>", children: [], rightAlign: false, values: ["String","String","Int","String","Int","Boolean"] }, 
+{ name: "<span title=\"type: Any\">type</span>", children: [], rightAlign: false, values: ["String","String","Int","String?","Int?","Boolean"] }, 
 { name: "<span title=\"count: Int\">count</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">7</span></span>"] }, 
 { name: "<span title=\"unique: Int\">unique</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">3</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">7</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">5</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">6</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">6</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">2</span></span>"] }, 
 { name: "<span title=\"nulls: Int\">nulls</span>", children: [], rightAlign: true, values: ["<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">1</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">2</span></span>","<span class=\"formatted\" title=\"\"><span class=\"numbers\">0</span></span>"] }, 

docs/StardustDocs/topics/ColumnSelectors.md

@@ -187,19 +187,19 @@ df.select {
     Person::name.single { it.name().startsWith("first") }
 }
 
-// recursive traversal of all columns, excluding ColumnGroups from a result
+// recursive traversal of all columns, excluding ColumnGroups from result
 df.select { cols { !it.isColumnGroup() }.recursively() }
 
-// depth-first-search traversal of all columns, including ColumnGroups in a result
+// depth-first-search traversal of all columns, including ColumnGroups in result
 df.select { all().recursively() }
 
 // recursive traversal with condition
 df.select { cols { it.name().contains(":") }.recursively() }
 
-// recursive traversal of columns of a given type
+// recursive traversal of columns of given type
 df.select { colsOf<String>().rec() }
 
-// all columns except a given column set
+// all columns except given column set
 df.select { except { colsOf<String>() } }
 
 // union of column sets

docs/StardustDocs/topics/columnAccessorsApi.md

@@ -7,7 +7,7 @@ For frequently accessed columns type casting can be reduced by [Column Accessors
 <!---FUN accessors1-->
 
 ```kotlin
-val survived by column<Boolean>() // accessor for Boolean column with the name 'survived'
+val survived by column<Boolean>() // accessor for Boolean column with name 'survived'
 val home by column<String>()
 val age by column<Int?>()
 val name by column<String>()

docs/StardustDocs/topics/createDataFrame.md

@@ -204,7 +204,7 @@ val df = students.toDataFrame {
         preserve<Name>() // `Name` objects will be stored as-is without transformation into DataFrame
     }
 
-    // add a column group
+    // add column group
     "summary" {
         "max score" from { it.scores.maxOf { it.value } }
         "min score" from { it.scores.minOf { it.value } }