resolves the comments on the PR

Author: tarunkukreja003

guide/04-feature-data-and-analysis/analyzing-patterns-in-feature-data.ipynb

@@ -22,40 +22,47 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Connect to GIS\n",
+    "from arcgis.gis import GIS\n",
+    "gis = GIS(profile=\"your_online_profile\") or GIS(profile=\"your_enterprise_profile\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\tar12555\\AppData\\Local\\ESRI\\conda\\envs\\pyapi-dev\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n",
-      "C:\\Users\\tar12555\\AppData\\Local\\ESRI\\conda\\envs\\pyapi-dev\\lib\\site-packages\\numpy\\.libs\\libopenblas64__v0.3.23-246-g3d31191b-gcc_10_3_0.dll\n",
-      "C:\\Users\\tar12555\\AppData\\Local\\ESRI\\conda\\envs\\pyapi-dev\\lib\\site-packages\\numpy\\.libs\\libopenblas64__v0.3.23-gcc_10_3_0.dll\n",
-      "  warnings.warn(\"loaded more than 1 DLL from .libs:\"\n",
-      "C:\\Users\\tar12555\\AppData\\Local\\ESRI\\conda\\envs\\pyapi-dev\\lib\\site-packages\\scipy\\__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.25.2)\n",
-      "  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of \"\n"
-     ]
+     "data": {
+      "text/plain": [
+       "[<Item title:\"chennai_rain\" type:Feature Layer Collection owner:arcgis_python>]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "# Connect to GIS\n",
-    "from arcgis.gis import GIS\n",
-    "gis = GIS(profile=\"your_online_profile\")"
+    "gis.content.search(\"title:chennai_rain type:Feature Service\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
-    "chennai_rainfall = gis.content.search(\"chennai_rain\")[0]"
+    "chennai_rainfall = gis.content.search(\"title:chennai_rain type:Feature Service\")[0]"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -71,13 +78,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
     "map1.add_layer(chennai_rainfall, { \"renderer\":\"ClassedSizeRenderer\", \"field_name\":\"RAINFALL\" })"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "map1"
+   ]
+  },
   {
    "attachments": {
     "image-chennai-rainfall.png": {
@@ -99,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -130,7 +146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -139,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -191,7 +207,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.16"
+   "version": "3.9.18"
   },
   "toc": {
    "base_numbering": 1,