diff --git a/lib/node_modules/@stdlib/ndarray/iter/README.md b/lib/node_modules/@stdlib/ndarray/iter/README.md
index de02d92b0b6c..80f075a3b5ea 100644
--- a/lib/node_modules/@stdlib/ndarray/iter/README.md
+++ b/lib/node_modules/@stdlib/ndarray/iter/README.md
@@ -2,7 +2,7 @@
 
 @license Apache-2.0
 
-Copyright (c) 2018 The Stdlib Authors.
+Copyright (c) 2024 The Stdlib Authors.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -75,10 +75,51 @@ var o = ns;
 <!-- eslint no-undef: "error" -->
 
 ```javascript
-var objectKeys = require( '@stdlib/utils/keys' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
 var ns = require( '@stdlib/ndarray/iter' );
-
-console.log( objectKeys( ns ) );
+var mean = require( '@stdlib/stats/base/mean' );
+var variance = require( '@stdlib/stats/base/variance' );
+var randu = require( '@stdlib/random/base/randu' );
+
+var rowVariance;
+var iterRows;
+var rowMean;
+var rowData;
+var data;
+var row;
+var x;
+var j;
+var i;
+
+data = new Array( 25 );
+for ( i = 0; i < data.length; i++ ) {
+    data[ i ] = parseFloat( ( randu() * 100 ).toFixed( 2 ) );
+}
+
+console.log( data );
+
+// Logs an array of 25 elements generated randomly as above.
+
+x = ndarray( 'generic', data, [ 5, 5 ], [ 5, 1 ], 0, 'row-major' );
+iterRows = ns.nditerRows( x );
+
+while ( true ) {
+    row = iterRows.next();
+    if ( row.done ) {
+        break;
+    }
+    rowData = [];
+    for ( j = 0; j < row.value.shape[ 0 ]; j++ ) {
+        rowData.push( row.value.get( j ) );
+    }
+    rowMean = parseFloat( ( mean( rowData.length, rowData, 1 ) ).toFixed( 2 ) );
+    rowVariance = parseFloat( variance( rowData.length, 1, rowData, 1 )
+        .toFixed( 2 ) );
+
+    console.log( rowMean, rowVariance );
+
+    // Logs mean and variance of each row in the 5x5 array.
+}
 ```
 
 </section>
diff --git a/lib/node_modules/@stdlib/ndarray/iter/examples/index.js b/lib/node_modules/@stdlib/ndarray/iter/examples/index.js
index c876063831b1..1ad48acd7a1a 100644
--- a/lib/node_modules/@stdlib/ndarray/iter/examples/index.js
+++ b/lib/node_modules/@stdlib/ndarray/iter/examples/index.js
@@ -1,7 +1,7 @@
 /**
 * @license Apache-2.0
 *
-* Copyright (c) 2023 The Stdlib Authors.
+* Copyright (c) 2024 The Stdlib Authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
@@ -18,7 +18,48 @@
 
 'use strict';
 
-var objectKeys = require( '@stdlib/utils/keys' );
+var ndarray = require( '@stdlib/ndarray/base/ctor' );
+var mean = require( '@stdlib/stats/base/mean' );
+var variance = require( '@stdlib/stats/base/variance' );
+var randu = require( '@stdlib/random/base/randu' );
 var ns = require( './../lib' );
 
-console.log( objectKeys( ns ) );
+var rowVariance;
+var iterRows;
+var rowMean;
+var rowData;
+var data;
+var row;
+var x;
+var j;
+var i;
+
+data = new Array( 25 );
+for ( i = 0; i < data.length; i++ ) {
+	data[ i ] = parseFloat( ( randu() * 100 ).toFixed( 2 ) );
+}
+
+console.log( data );
+
+// Logs an array of 25 elements generated randomly as above.
+
+x = ndarray( 'generic', data, [ 5, 5 ], [ 5, 1 ], 0, 'row-major' );
+iterRows = ns.nditerRows( x );
+
+while ( true ) {
+	row = iterRows.next();
+	if ( row.done ) {
+		break;
+	}
+	rowData = [];
+	for ( j = 0; j < row.value.shape[ 0 ]; j++ ) {
+		rowData.push( row.value.get( j ) );
+	}
+	rowMean = parseFloat( ( mean( rowData.length, rowData, 1 ) ).toFixed( 2 ) );
+	rowVariance = parseFloat( variance( rowData.length, 1, rowData, 1 )
+		.toFixed( 2 ) );
+
+	console.log( rowMean, rowVariance );
+
+	// Logs mean and variance of each row in the 5x5 array.
+}