address comments

Signed-off-by: Nitish Bharambe <nitish.bharambe@alliander.com>

docs/examples/arrow_example.ipynb

@@ -117,9 +117,16 @@
     "Note that the asymmetric type of attribute in power-grid-model has a shape of `(3,)` along with a specific type. These represent the 3 phases of electrical system.\n",
     "Hence, special care is required when handling asymmetric attributes. \n",
     "\n",
-    "In this example, we use the respective primitive types for the symmetrical attributes and a `FixedSizeListArray` of the primitive types with length 3 for asymmetrical attributes. This results in them being stored as contiguous memory which would enable zero-copy conversion. Other possible solutions to this problem are beyond the scope of this example."
+    "In this example, we use the respective primitive types for the symmetrical attributes and a `FixedSizeListArray` of the primitive types with length 3 for asymmetrical attributes. This results in them being stored as contiguous memory which would enable zero-copy conversion. Other possible workarounds to this are possible, but are beyond the scope of this example."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -270,11 +277,11 @@
    "source": [
     "### Convert the Arrow data to power-grid-model input data\n",
     "\n",
-    "The Arrow record batch or tables can then be converted to row based data or columnar data.\n",
+    "The Arrow `RecordBatch` or `Table` can then be converted to row based data or columnar data.\n",
     "Converting Arrow data to columnar NumPy arrays is recommended to leverage the columnar nature of Arrow data. \n",
     "This conversion can be done with zero-copy operations.\n",
     "\n",
-    "A similar approach be adopted by the user to convert to row based data."
+    "A similar approach can be adopted by the user to convert to row based data instead."
    ]
   },
   {
@@ -468,7 +475,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Converting symmetrical results is straightforward by using schema from [Creating Schema](#creating-a-schema)"
+    "Converting symmetrical results is straightforward by using schema from [Creating Schema](#creating-a-schema)\n",
+    "Using types other than the ones from this schema might make a copy of the data. "
    ]
   },
   {