diff --git a/samples/04_gis_analysts_data_scientists/designate_bike_routes_for_commuting_professionals.ipynb b/samples/04_gis_analysts_data_scientists/designate_bike_routes_for_commuting_professionals.ipynb
index 730527839..d257cdb3e 100644
--- a/samples/04_gis_analysts_data_scientists/designate_bike_routes_for_commuting_professionals.ipynb
+++ b/samples/04_gis_analysts_data_scientists/designate_bike_routes_for_commuting_professionals.ipynb
@@ -102,7 +102,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -168,7 +168,7 @@
        "                        </a>\n",
        "                        <br/>datascience<br/><img src='https://geosaurus.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/featureshosted16.png' style=\"vertical-align:middle;\" width=16 height=16>Feature Layer Collection by api_data_owner\n",
        "                        <br/>Last Modified: June 13, 2019\n",
-       "                        <br/>0 comments, 127 views\n",
+       "                        <br/>0 comments, 154 views\n",
        "                    </div>\n",
        "                </div>\n",
        "                "
@@ -319,7 +319,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -328,7 +328,7 @@
        "<FeatureSet> 185 features"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -340,7 +340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -367,7 +367,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -387,7 +387,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -396,7 +396,7 @@
        "<FeatureSet> 6605 features"
       ]
      },
-     "execution_count": 96,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -426,13 +426,13 @@
    ],
    "source": [
     "busy_streets_map = gis.map('Seattle')\n",
-    "busy_streets_map.basemap.basemap = \"arcgis-streets\n",
+    "busy_streets_map.basemap.basemap = \"arcgis-streets\"\n",
     "busy_streets_map"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -452,7 +452,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -475,7 +475,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -497,7 +497,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -505,26 +505,26 @@
       "text/html": [
        "<div class=\"item_container\" style=\"height: auto; overflow: hidden; border: 1px solid #cfcfcf; border-radius: 2px; background: #f6fafa; line-height: 1.21429em; padding: 10px;\">\n",
        "                    <div class=\"item_left\" style=\"width: 210px; float: left;\">\n",
-       "                       <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=167d56ea96eb40f3a819a7410ee804e9' target='_blank'>\n",
+       "                       <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=df4963a84fbc4be7a41faf2bd31fd4bb' target='_blank'>\n",
        "                        <img src='http://static.arcgis.com/images/desktopapp.png' class=\"itemThumbnail\">\n",
        "                       </a>\n",
        "                    </div>\n",
        "\n",
        "                    <div class=\"item_right\"     style=\"float: none; width: auto; overflow: hidden;\">\n",
-       "                        <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=167d56ea96eb40f3a819a7410ee804e9' target='_blank'><b>MadisonStreet694249</b>\n",
+       "                        <a href='https://geosaurus.maps.arcgis.com/home/item.html?id=df4963a84fbc4be7a41faf2bd31fd4bb' target='_blank'><b>MadisonStreet486681</b>\n",
        "                        </a>\n",
-       "                        <br/><br/><img src='https://geosaurus.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/featureshosted16.png' style=\"vertical-align:middle;\" width=16 height=16>Feature Layer Collection by arcgis_python\n",
-       "                        <br/>Last Modified: October 22, 2024\n",
+       "                        <br/><br/><img src='https://geosaurus.maps.arcgis.com/home/js/jsapi/esri/css/images/item_type_icons/featureshosted16.png' style=\"vertical-align:middle;\" width=16 height=16>Feature Layer Collection by MMajumdar_geosaurus\n",
+       "                        <br/>Last Modified: August 13, 2025\n",
        "                        <br/>0 comments, 0 views\n",
        "                    </div>\n",
        "                </div>\n",
        "                "
       ],
       "text/plain": [
-       "<Item title:\"MadisonStreet694249\" type:Feature Layer Collection owner:arcgis_python>"
+       "<Item title:\"MadisonStreet486681\" type:Feature Layer Collection owner:MMajumdar_geosaurus>"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -535,7 +535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -544,15 +544,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
     "stat_1 = madison_street_lyr.query(where='1=1',\n",
-    "                                  returnGeometry=False,\n",
-    "                                  spatialRel='esriSpatialRelIntersects',\n",
-    "                                  outFields='Length',\n",
-    "                                  outStatistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"countField\"},\n",
+    "                                  return_geometry=False,\n",
+    "                                  out_fields='Length',\n",
+    "                                  out_statistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"countField\"},\n",
     "                                              {\"statisticType\":\"sum\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"sumField\"},\n",
     "                                              {\"statisticType\":\"min\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"minField\"},\n",
     "                                              {\"statisticType\":\"max\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"maxField\"},\n",
@@ -562,7 +561,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -571,7 +570,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -580,16 +579,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "2.47538356"
+       "np.float64(2.47538356)"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -607,7 +606,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -641,7 +640,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -665,7 +664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -687,7 +686,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -721,7 +720,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -744,7 +743,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -768,7 +767,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -777,20 +776,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
     "stat_2 = broadway_ave_layer.query(where='1=1',\n",
-    "                                  returnGeometry=False,\n",
-    "                                  spatialRel='esriSpatialRelIntersects',\n",
-    "                                  outFields='Length',\n",
-    "                                  outStatistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"countField\"},{\"statisticType\":\"sum\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"sumField\"},{\"statisticType\":\"min\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"minField\"},{\"statisticType\":\"max\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"maxField\"},{\"statisticType\":\"avg\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"avgField\"},{\"statisticType\":\"stddev\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"stddevField\"}])"
+    "                                  return_geometry=False,\n",
+    "                                  out_fields='Length',\n",
+    "                                  out_statistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"countField\"},{\"statisticType\":\"sum\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"sumField\"},{\"statisticType\":\"min\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"minField\"},{\"statisticType\":\"max\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"maxField\"},{\"statisticType\":\"avg\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"avgField\"},{\"statisticType\":\"stddev\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"stddevField\"}])"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -799,7 +797,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -808,16 +806,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "1.98774174"
+       "np.float64(1.98774174)"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -860,7 +858,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -876,9 +874,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 0.022}\n"
+     ]
+    }
+   ],
    "source": [
     "buffer_street_broadway = create_buffers(broadway_ave_layer,\n",
     "                                        dissolve_type='Dissolve',\n",
@@ -915,7 +921,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -938,9 +944,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 6.61}\n"
+     ]
+    }
+   ],
    "source": [
     "ave = find_existing_locations(input_layers=[{'url': busy_streets_layer.url},\n",
     "                                            {'url': bike_route_neighbourhood.url, 'filter':\"L_HOOD = 'CAPITOL HILL'\"}],\n",
@@ -954,7 +968,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -963,15 +977,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [],
    "source": [
     "stat_3 = ave_layer.query(where='1=1',\n",
-    "                         returnGeometry=False,\n",
-    "                         spatialRel='esriSpatialRelIntersects',\n",
-    "                         outFields='Length',\n",
-    "                         outStatistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"countField\"},\n",
+    "                         return_geometry=False,\n",
+    "                         out_fields='Length',\n",
+    "                         out_statistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"countField\"},\n",
     "                                        {\"statisticType\":\"sum\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"sumField\"},\n",
     "                                        {\"statisticType\":\"min\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"minField\"},\n",
     "                                        {\"statisticType\":\"max\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"maxField\"},\n",
@@ -981,7 +994,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -990,7 +1003,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -999,16 +1012,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "1.63694922"
+       "np.float64(1.63694922)"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1051,7 +1064,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1067,9 +1080,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 53,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 0.026}\n"
+     ]
+    }
+   ],
    "source": [
     "buffer_street_ave = create_buffers(ave_layer,\n",
     "                                   dissolve_type='Dissolve',\n",
@@ -1106,7 +1127,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1129,9 +1150,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 56,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 26.214}\n"
+     ]
+    }
+   ],
    "source": [
     "capitol_hill_streets = find_existing_locations(input_layers=[{'url': bike_route_streets.url},\n",
     "                                                             {'url': bike_route_neighbourhood.url, 'filter':\"L_HOOD = 'CAPITOL HILL'\"}],\n",
@@ -1143,7 +1172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1152,15 +1181,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [],
    "source": [
     "stat_4 = capitol_hill_lyr.query(where='1=1',\n",
-    "                                returnGeometry=False,\n",
-    "                                spatialRel='esriSpatialRelIntersects',\n",
-    "                                outFields='Length',\n",
-    "                                outStatistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"Length\",\n",
+    "                                return_geometry=False,\n",
+    "                                out_fields='Length',\n",
+    "                                out_statistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"Length\",\n",
     "                                               \"outStatisticFieldName\":\"countField\"},\n",
     "                                               {\"statisticType\":\"sum\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"sumField\"},\n",
     "                                               {\"statisticType\":\"min\",\"onStatisticField\":\"Length\",\"outStatisticFieldName\":\"minField\"},\n",
@@ -1171,7 +1199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 59,
    "metadata": {
     "scrolled": true
    },
@@ -1224,7 +1252,7 @@
        "0        1361  93.52469  0.002864  0.944354  0.068718     0.047955"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1235,7 +1263,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1244,7 +1272,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1253,16 +1281,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "93.52469041"
+       "np.float64(93.52469041)"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1287,16 +1315,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "6.522421505228268"
+       "np.float64(6.522421505228268)"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1328,9 +1356,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 64,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 0.002}\n"
+     ]
+    }
+   ],
    "source": [
     "merge_madison_broadway_buffer = merge_layers(buffer_street,\n",
     "                                             buffer_street_broadway,\n",
@@ -1339,9 +1375,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 65,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 0.003}\n"
+     ]
+    }
+   ],
    "source": [
     "merge_all_buffers = merge_layers(merge_madison_broadway_buffer,\n",
     "                                 buffer_street_ave,\n",
@@ -1375,7 +1419,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1398,9 +1442,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 68,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 0.003}\n"
+     ]
+    }
+   ],
    "source": [
     "dissolve = dissolve_boundaries(merge_all_buffers,\n",
     "                               output_name='DissolvedLayers'+ str(dt.now().microsecond))"
@@ -1433,7 +1485,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1456,9 +1508,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 71,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 0.006}\n"
+     ]
+    }
+   ],
    "source": [
     "cliped_buffer = overlay_layers(dissolve,\n",
     "                               bike_route_neighbourhood,\n",
@@ -1469,7 +1529,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1503,7 +1563,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 74,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1533,9 +1593,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 75,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 0.05}\n"
+     ]
+    }
+   ],
    "source": [
     "clipped_enrich = enrich_layer(cliped_buffer_layer, \n",
     "                              analysis_variables=[\"AtRisk.TOTPOP_CY\"], \n",
@@ -1551,9 +1619,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 76,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "{\"cost\": 0.05}\n"
+     ]
+    }
+   ],
    "source": [
     "capitolhill_enrich = enrich_layer(bike_route_neighbourhood,\n",
     "                                  analysis_variables=[\"AtRisk.TOTPOP_CY\"],\n",
@@ -1562,7 +1638,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1571,15 +1647,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [],
    "source": [
     "stat_5 = clip_lyr.query(where='1=1',\n",
-    "                        returnGeometry=False,\n",
-    "                        spatialRel='esriSpatialRelIntersects',\n",
-    "                        outFields='TOTPOP_CY',\n",
-    "                        outStatistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"TOTPOP_CY\",\"outStatisticFieldName\":\"countField\"},\n",
+    "                        return_geometry=False,\n",
+    "                        out_fields='TOTPOP_CY',\n",
+    "                        out_statistics=[{\"statisticType\":\"count\",\"onStatisticField\":\"TOTPOP_CY\",\"outStatisticFieldName\":\"countField\"},\n",
     "                                       {\"statisticType\":\"sum\",\"onStatisticField\":\"TOTPOP_CY\",\"outStatisticFieldName\":\"sumField\"},\n",
     "                                       {\"statisticType\":\"min\",\"onStatisticField\":\"TOTPOP_CY\",\"outStatisticFieldName\":\"minField\"},\n",
     "                                       {\"statisticType\":\"max\",\"onStatisticField\":\"TOTPOP_CY\",\"outStatisticFieldName\":\"maxField\"},\n",
@@ -1589,7 +1664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 79,
    "metadata": {},
    "outputs": [
     {
@@ -1625,22 +1700,22 @@
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>5</td>\n",
-       "      <td>52490.0</td>\n",
-       "      <td>1374.0</td>\n",
-       "      <td>29400.0</td>\n",
-       "      <td>10498.0</td>\n",
-       "      <td>11313.92264</td>\n",
+       "      <td>52369.0</td>\n",
+       "      <td>1317.0</td>\n",
+       "      <td>29432.0</td>\n",
+       "      <td>10473.8</td>\n",
+       "      <td>11342.851524</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   countField  sumField  minField  maxField  avgField  stddevField\n",
-       "0           5   52490.0    1374.0   29400.0   10498.0  11313.92264"
+       "   countField  sumField  minField  maxField  avgField   stddevField\n",
+       "0           5   52369.0    1317.0   29432.0   10473.8  11342.851524"
       ]
      },
-     "execution_count": 91,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1653,7 +1728,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Approximately 49,431 Capitol Hill residents are within ½ mile of the bike routes, which constitutes approximately 99.3% of the neighborhood."
+    "Approximately 52,369 Capitol Hill residents are within ½ mile of the bike routes, which constitutes approximately 99.5% of the neighborhood."
    ]
   },
   {
@@ -1773,7 +1848,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.0"
+   "version": "3.12.11"
   }
  },
  "nbformat": 4,