diff --git a/book/00_MinIO_Object_Store.ipynb b/book/00_MinIO_Object_Store.ipynb
index 4fe016b..7a3aad9 100644
--- a/book/00_MinIO_Object_Store.ipynb
+++ b/book/00_MinIO_Object_Store.ipynb
@@ -29,7 +29,7 @@
    "id": "8a8d65c2-8638-4385-a40d-0dfa190d4601",
    "metadata": {},
    "source": [
-    "# Connect to MinIO via DuckDB"
+    "## Connect to MinIO via DuckDB"
    ]
   },
   {
diff --git a/book/01a_Data_Extraction_DuckDB_PyIceberg.ipynb b/book/01a_Data_Extraction_DuckDB_PyIceberg.ipynb
index de9c90e..cdfd2ec 100644
--- a/book/01a_Data_Extraction_DuckDB_PyIceberg.ipynb
+++ b/book/01a_Data_Extraction_DuckDB_PyIceberg.ipynb
@@ -3,19 +3,19 @@
   {
    "cell_type": "markdown",
    "id": "7ee2c20c-e467-4499-84c5-0d583cee77b6",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
+   "metadata": {},
    "source": [
-    "# DuckDB + PyIceberg: Data Extraction from *geo-sorted ohsome contributions* \n",
+    "# Download latest OSM data as GeoPackage\n",
     "\n",
-    ":::{note}\n",
-    "1. Set the connection params and configure DuckDB.\n",
-    "2. Download the data in 3 steps:\n",
-    "    * Download data with PyIceberg.\n",
-    "    * Fitler and process data with DuckDB.\n",
-    "    * Export results into geopackage file with GeoPandas.\n",
-    ":::"
+    "In this notebook we demonstrate how you can download the latest OSM data in GeoPackage format.\n",
+    "\n",
+    "These are the steps you see further down:\n",
+    "\n",
+    "* Set the connection parameters.\n",
+    "* Prepare your input parameters, e.g. define area of interest and OSM tag filter.\n",
+    "* **Download data** using PyIceberg and DuckDB.\n",
+    "* Filter and process data with DuckDB.\n",
+    "* Export results into geopackage file with GeoPandas. "
    ]
   },
   {
@@ -23,13 +23,13 @@
    "id": "b6ec70ad-bce1-4052-b151-23fe47fad942",
    "metadata": {},
    "source": [
-    "# Getting started\n",
+    "## Getting started\n",
     "Set connection params."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "id": "554c5bc9-8962-44ed-96f8-fd34b3efe564",
    "metadata": {},
    "outputs": [],
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "id": "f2e24802-8629-4648-afe5-d4c5f21403df",
    "metadata": {},
    "outputs": [],
@@ -61,7 +61,6 @@
     "    config={\n",
     "        'threads': 8,\n",
     "        'max_memory': '8GB',\n",
-    "        # 'enable_object_cache': True\n",
     "    }\n",
     ")\n",
     "con.install_extension(\"spatial\")\n",
@@ -88,7 +87,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "id": "825cd3dc-18d1-48fb-ad47-2945bb3a8c53",
    "metadata": {},
    "outputs": [],
@@ -113,7 +112,7 @@
    "id": "bed363ef-ee28-411e-9d56-501c1005beac",
    "metadata": {},
    "source": [
-    "# Download data with PyIceberg table scan\n",
+    "## Download data with PyIceberg table scan\n",
     "In this step we can already filter all OSM contributions by four major factors. We will perform more detailed filtering (e.g. for OSM tags values) later:\n",
     "* **status** (e.g. latest, historic or deleted OSM features)\n",
     "* **location** (using the bounding box coordinates of each OSM feature)\n",
@@ -123,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "id": "872da17b-f490-4a1a-8aec-09ad847db0ea",
    "metadata": {},
    "outputs": [],
@@ -146,8 +145,6 @@
     "\n",
     "selected_region = 'nairobi'\n",
     "xmin, ymin, xmax, ymax = bboxes[selected_region]\n",
-    "area_of_interest_file =f\"../data/{selected_region}.geojson\"\n",
-    "area_of_interest_file = f\"https://raw.githubusercontent.com/GIScience/sotm-2024-ohsome-data-insights-workshop/main/data/{selected_region}.geojson\"\n",
     "\n",
     "# Define geometry type filter\n",
     "geometry_type = 'Polygon'\n",
@@ -188,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "5ab182ee-d069-46cb-a88d-e1a76f7ab1f6",
    "metadata": {},
    "outputs": [
@@ -196,7 +193,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "download took 198.388 sec.\n"
+      "download took 15.965 sec.\n"
      ]
     }
    ],
@@ -230,7 +227,7 @@
    "id": "f7965fc4-e82d-4972-8d5c-760fe45d3614",
    "metadata": {},
    "source": [
-    "# Filter and process data with DuckDB\n",
+    "## Filter and process data with DuckDB\n",
     "Second, we use DuckDB to perform the more detailed filtering. In this step we can filter for:\n",
     "* **tags**\n",
     "* **location** (using the exact geometry of each OSM contribution)"
@@ -238,19 +235,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "id": "d2125907-3028-4e76-ae26-39ac7adf0f94",
    "metadata": {},
    "outputs": [
     {
-     "ename": "IOException",
-     "evalue": "IO Error: GDAL Error (4): Failed to open file https://raw.githubusercontent.com/GIScience/sotm-2024-ohsome-data-insights-workshop/main/data/nairobi.geojson: {\"exception_type\":\"IO\",\"exception_message\":\"Cannot open file \\\"https://raw.githubusercontent.com/GIScience/sotm-2024-ohsome-data-insights-workshop/main/data/nairobi.geojson\\\": No such file or directory\",\"errno\":\"2\"}",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mIOException\u001b[0m                               Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[9], line 20\u001b[0m\n\u001b[1;32m      2\u001b[0m start_time \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[1;32m      4\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m      5\u001b[0m \u001b[38;5;124mDROP TABLE IF EXISTS osm_data;\u001b[39m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;124mCREATE TABLE osm_data AS\u001b[39m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[38;5;124m;\u001b[39m\n\u001b[1;32m     19\u001b[0m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[0;32m---> 20\u001b[0m \u001b[43mcon\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msql\u001b[49m\u001b[43m(\u001b[49m\u001b[43mquery\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     22\u001b[0m processing_time \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mround\u001b[39m(time\u001b[38;5;241m.\u001b[39mtime() \u001b[38;5;241m-\u001b[39m start_time, \u001b[38;5;241m3\u001b[39m)\n\u001b[1;32m     23\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprocessing took \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mprocessing_time\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m sec.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "\u001b[0;31mIOException\u001b[0m: IO Error: GDAL Error (4): Failed to open file https://raw.githubusercontent.com/GIScience/sotm-2024-ohsome-data-insights-workshop/main/data/nairobi.geojson: {\"exception_type\":\"IO\",\"exception_message\":\"Cannot open file \\\"https://raw.githubusercontent.com/GIScience/sotm-2024-ohsome-data-insights-workshop/main/data/nairobi.geojson\\\": No such file or directory\",\"errno\":\"2\"}"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing took 0.552 sec.\n"
      ]
     }
    ],
@@ -265,12 +258,9 @@
     "SELECT a.*  \n",
     "FROM\n",
     "    raw_osm_data as a,\n",
-    "    st_read('{area_of_interest_file}') as aoi\n",
     "WHERE 1=1\n",
     "    and tags['building'][1] is not null\n",
     "    and tags['building'][1] != 'no'\n",
-    "    -- spatial filtering part\n",
-    "    and ST_Intersects(st_GeomFromText(a.geometry), aoi.geom)\n",
     ")\n",
     ";\n",
     "\"\"\"\n",
@@ -285,7 +275,7 @@
    "id": "73b8b5e7-41b7-4c3f-a901-3c5403dc4150",
    "metadata": {},
    "source": [
-    "# Save data as GeoPackage"
+    "## Save data as GeoPackage"
    ]
   },
   {
@@ -298,28 +288,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 12,
    "id": "d738f1c2-cbaf-49ce-9350-e6b28e2414b3",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "┌─────────────┬────────────────────────────────────────────────────────────┬─────────┬─────────┬─────────┬─────────┐\n",
-       "│ column_name │                        column_type                         │  null   │   key   │ default │  extra  │\n",
-       "│   varchar   │                          varchar                           │ varchar │ varchar │ varchar │ varchar │\n",
-       "├─────────────┼────────────────────────────────────────────────────────────┼─────────┼─────────┼─────────┼─────────┤\n",
-       "│ user_id     │ INTEGER                                                    │ YES     │ NULL    │ NULL    │ NULL    │\n",
-       "│ valid_from  │ TIMESTAMP                                                  │ YES     │ NULL    │ NULL    │ NULL    │\n",
-       "│ osm_id      │ VARCHAR                                                    │ YES     │ NULL    │ NULL    │ NULL    │\n",
-       "│ osm_version │ INTEGER                                                    │ YES     │ NULL    │ NULL    │ NULL    │\n",
-       "│ tags        │ MAP(VARCHAR, VARCHAR)                                      │ YES     │ NULL    │ NULL    │ NULL    │\n",
-       "│ bbox        │ STRUCT(xmin DOUBLE, ymin DOUBLE, xmax DOUBLE, ymax DOUBLE) │ YES     │ NULL    │ NULL    │ NULL    │\n",
-       "│ geometry    │ VARCHAR                                                    │ YES     │ NULL    │ NULL    │ NULL    │\n",
-       "└─────────────┴────────────────────────────────────────────────────────────┴─────────┴─────────┴─────────┴─────────┘"
+       "┌─────────────┬───────────────────────┬─────────┬─────────┬─────────┬─────────┐\n",
+       "│ column_name │      column_type      │  null   │   key   │ default │  extra  │\n",
+       "│   varchar   │        varchar        │ varchar │ varchar │ varchar │ varchar │\n",
+       "├─────────────┼───────────────────────┼─────────┼─────────┼─────────┼─────────┤\n",
+       "│ user_id     │ INTEGER               │ YES     │ NULL    │ NULL    │ NULL    │\n",
+       "│ valid_from  │ TIMESTAMP             │ YES     │ NULL    │ NULL    │ NULL    │\n",
+       "│ osm_id      │ VARCHAR               │ YES     │ NULL    │ NULL    │ NULL    │\n",
+       "│ osm_version │ INTEGER               │ YES     │ NULL    │ NULL    │ NULL    │\n",
+       "│ tags        │ MAP(VARCHAR, VARCHAR) │ YES     │ NULL    │ NULL    │ NULL    │\n",
+       "│ geometry    │ VARCHAR               │ YES     │ NULL    │ NULL    │ NULL    │\n",
+       "└─────────────┴───────────────────────┴─────────┴─────────┴─────────┴─────────┘"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -342,22 +331,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 13,
    "id": "7fc355bf-cf38-487d-9b80-5cc02b9edc31",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "┌─────────┬────────────┬─────────┬─────────────┬──────────────────────┬─────────────────────────────────────┬──────────┐\n",
-       "│ user_id │ valid_from │ osm_id  │ osm_version │         tags         │                bbox                 │ geometry │\n",
-       "│  int32  │ timestamp  │ varchar │    int32    │ map(varchar, varch…  │ struct(xmin double, ymin double, …  │ varchar  │\n",
-       "├─────────┴────────────┴─────────┴─────────────┴──────────────────────┴─────────────────────────────────────┴──────────┤\n",
-       "│                                                        0 rows                                                        │\n",
-       "└──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘"
+       "┌──────────┬─────────────────────┬────────────────┬─────────────┬──────────────────────┬───────────────────────────────┐\n",
+       "│ user_id  │     valid_from      │     osm_id     │ osm_version │         tags         │           geometry            │\n",
+       "│  int32   │      timestamp      │    varchar     │    int32    │ map(varchar, varch…  │            varchar            │\n",
+       "├──────────┼─────────────────────┼────────────────┼─────────────┼──────────────────────┼───────────────────────────────┤\n",
+       "│  1122708 │ 2021-09-07 23:04:37 │ way/500108893  │           5 │ {building=yes, rai…  │ POLYGON ((36.89974139999999…  │\n",
+       "│ 13366421 │ 2023-01-10 06:13:29 │ way/1130552834 │           1 │ {building=yes, add…  │ POLYGON ((36.8719435 -1.241…  │\n",
+       "│ 18306654 │ 2023-11-11 01:58:08 │ way/88406439   │          16 │ {building=yes, aer…  │ POLYGON ((36.9238579 -1.331…  │\n",
+       "│ 17770290 │ 2022-11-27 17:57:39 │ way/1117632750 │           1 │ {building=yes}       │ POLYGON ((36.6824404 -1.442…  │\n",
+       "│  3733993 │ 2023-04-11 09:02:45 │ way/1161291128 │           1 │ {building=yes}       │ POLYGON ((36.6824528 -1.438…  │\n",
+       "└──────────┴─────────────────────┴────────────────┴─────────────┴──────────────────────┴───────────────────────────────┘"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -381,7 +374,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 14,
    "id": "d070a68f-1615-4e5f-94ea-3cd837f2be4b",
    "metadata": {},
    "outputs": [
@@ -392,11 +385,11 @@
        "│ count_star() │\n",
        "│    int64     │\n",
        "├──────────────┤\n",
-       "│            0 │\n",
+       "│       527170 │\n",
        "└──────────────┘"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -419,7 +412,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 16,
    "id": "3648c939-7813-4be3-b1d0-b51d3fbad4de",
    "metadata": {},
    "outputs": [
@@ -427,7 +420,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "processing took 0.109 sec.\n"
+      "processing took 16.175 sec.\n"
      ]
     }
    ],
@@ -436,12 +429,7 @@
     "\n",
     "start_time = time.time()\n",
     "query = f\"\"\"\n",
-    "    SELECT osm_data.*\n",
-    "    FROM\n",
-    "        osm_data,\n",
-    "        st_read('{area_of_interest_file}') as aoi\n",
-    "    WHERE 1=1\n",
-    "        and ST_Intersects(st_GeomFromText(osm_data.geometry), aoi.geom)\n",
+    "    SELECT * FROM osm_data\n",
     "\"\"\"\n",
     "df = con.sql(query).df()\n",
     "\n",
@@ -461,7 +449,7 @@
    "id": "50bf5649-9176-4e7f-83ac-752fc9e6faae",
    "metadata": {},
    "source": [
-    "# Work with the data in QGIS\n",
+    "## Work with the data in QGIS\n",
     "Add your geopackage file in QGIS, e.g. via drag-and-drop or through file manager."
    ]
   },
diff --git a/book/01b_Data_Extraction_DuckDB_only.ipynb b/book/01b_Data_Extraction_DuckDB_only.ipynb
index 8fbe783..cfa3d8f 100644
--- a/book/01b_Data_Extraction_DuckDB_only.ipynb
+++ b/book/01b_Data_Extraction_DuckDB_only.ipynb
@@ -22,7 +22,7 @@
    "id": "b6ec70ad-bce1-4052-b151-23fe47fad942",
    "metadata": {},
    "source": [
-    "# Getting started\n",
+    "## Getting started\n",
     "Set connection params."
    ]
   },
@@ -116,7 +116,7 @@
    "id": "bed363ef-ee28-411e-9d56-501c1005beac",
    "metadata": {},
    "source": [
-    "# Download with DuckDB\n",
+    "## Download with DuckDB\n",
     "In this step we can already filter all OSM contributions by four major factors. We will perform more detailed filtering (e.g. for OSM tags values) later:\n",
     "* **status** (e.g. latest, historic or deleted OSM features)\n",
     "* **location** (using the bounding box coordinates of each OSM feature)\n",
@@ -257,7 +257,7 @@
    "id": "73b8b5e7-41b7-4c3f-a901-3c5403dc4150",
    "metadata": {},
    "source": [
-    "# Save data as GeoPackage"
+    "## Save data as GeoPackage"
    ]
   },
   {
@@ -436,7 +436,7 @@
    "id": "50bf5649-9176-4e7f-83ac-752fc9e6faae",
    "metadata": {},
    "source": [
-    "# Work with the data in QGIS\n",
+    "## Work with the data in QGIS\n",
     "Add your geopackage file in QGIS, e.g. via drag-and-drop or through file manager."
    ]
   },
diff --git a/book/02a_buildings_currentness_DuckDB_PyIceberg.ipynb b/book/02a_buildings_currentness_DuckDB_PyIceberg.ipynb
index c245042..adc95c5 100644
--- a/book/02a_buildings_currentness_DuckDB_PyIceberg.ipynb
+++ b/book/02a_buildings_currentness_DuckDB_PyIceberg.ipynb
@@ -5,7 +5,7 @@
    "id": "376bf8342197f6a6",
    "metadata": {},
    "source": [
-    "# DuckDB + PyIceberg: Currentness of Buildings\n",
+    "# Currentness of Buildings\n",
     "In this notebook we demonstrate how to analyze and visualize the up-to-date-ness or currentness of the latest OSM data.\n",
     "\n",
     "These are the steps you see further down:\n",
@@ -22,7 +22,7 @@
    "id": "23f48837-22c6-4c12-ab34-a99881cd844b",
    "metadata": {},
    "source": [
-    "# Getting started\n",
+    "## Getting started\n",
     "Set connection params."
    ]
   },
@@ -106,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 10,
    "id": "f79d24f5f976b9e3",
    "metadata": {
     "ExecuteTime": {
@@ -135,7 +135,6 @@
     "\n",
     "selected_region = 'heidelberg'\n",
     "xmin, ymin, xmax, ymax = bboxes[selected_region]\n",
-    "area_of_interest_file =f\"../data/{selected_region}.geojson\"\n",
     "\n",
     "# Define geometry type filter\n",
     "geometry_type = 'Polygon'"
@@ -157,7 +156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 7,
    "id": "30a0e2f1-4efc-46b4-a0c8-89ced449a456",
    "metadata": {},
    "outputs": [
@@ -165,7 +164,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "download took 30.733 sec.\n"
+      "download took 5.492 sec.\n"
      ]
     }
    ],
@@ -177,18 +176,15 @@
     "    row_filter=(\n",
     "        f\"status = '{status}' \"\n",
     "        f\"and geometry_type = '{geometry_type}' \"\n",
-    "        # ToDO: add bbox query here once available in iceberg table\n",
-    "        #f\"and (bbox.xmax >= {xmin} and bbox.xmin <= {xmax}) \"\n",
-    "        #f\"and (bbox.ymax >= {ymin} and bbox.ymin <= {ymax}) \"\n",
+    "        f\"and (bbox.xmax >= {xmin} and bbox.xmin <= {xmax}) \"\n",
+    "        f\"and (bbox.ymax >= {ymin} and bbox.ymin <= {ymax}) \"\n",
     "    ),\n",
     "    selected_fields=(\n",
     "        \"valid_from\",\n",
     "        \"tags\",\n",
     "        \"geometry\",\n",
     "        \"bbox\"\n",
-    "    ),\n",
-    "    # ToDO: add bbox query here once available in iceberg table\n",
-    "    limit=1_000_000\n",
+    "    )\n",
     ").to_duckdb('raw_osm_data',connection=con)\n",
     "\n",
     "download_time = round(time.time() - start_time, 3)\n",
@@ -207,7 +203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 11,
    "id": "4c0e802d-013b-43ac-87fa-5b22059f93fa",
    "metadata": {},
    "outputs": [
@@ -215,7 +211,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "processing took 0.025 sec.\n"
+      "processing took 0.229 sec.\n"
      ]
     }
    ],
@@ -233,14 +229,9 @@
     "    a.geometry   \n",
     "FROM\n",
     "    raw_osm_data as a,\n",
-    "    st_read('{area_of_interest_file}') as aoi\n",
     "WHERE 1=1\n",
     "    and tags['building'][1] is not null\n",
     "    and tags['building'][1] != 'no'\n",
-    "    -- spatial filtering part\n",
-    "    and (a.bbox.xmax >= {xmin} AND a.bbox.xmin <= {xmax})\n",
-    "    and (a.bbox.ymax >= {ymin} AND a.bbox.ymin <= {ymax})\n",
-    "    and ST_Intersects(st_GeomFromText(a.geometry), aoi.geom)\n",
     ")\n",
     ";\n",
     "\"\"\"\n",
@@ -255,69 +246,105 @@
    "id": "68ed309a-2e60-4ad5-aa00-c2edcd858cf5",
    "metadata": {},
    "source": [
-    "\n",
     "## Plot currentness chart with polars and hvplot"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 12,
    "id": "07f16b43-3cda-4a76-a99d-1ce96633ca66",
    "metadata": {},
    "outputs": [
     {
-     "ename": "IndexError",
-     "evalue": "index 0 is out of bounds for axis 0 with size 0",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mIndexError\u001b[0m                                Traceback (most recent call last)",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/IPython/core/formatters.py:977\u001b[0m, in \u001b[0;36mMimeBundleFormatter.__call__\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m    974\u001b[0m     method \u001b[38;5;241m=\u001b[39m get_real_method(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprint_method)\n\u001b[1;32m    976\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m method \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 977\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[43minclude\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minclude\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mexclude\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mexclude\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    978\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m    979\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/dimension.py:1275\u001b[0m, in \u001b[0;36mDimensioned._repr_mimebundle_\u001b[0;34m(self, include, exclude)\u001b[0m\n\u001b[1;32m   1268\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_repr_mimebundle_\u001b[39m(\u001b[38;5;28mself\u001b[39m, include\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, exclude\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m   1269\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m   1270\u001b[0m \u001b[38;5;124;03m    Resolves the class hierarchy for the class rendering the\u001b[39;00m\n\u001b[1;32m   1271\u001b[0m \u001b[38;5;124;03m    object using any display hooks registered on Store.display\u001b[39;00m\n\u001b[1;32m   1272\u001b[0m \u001b[38;5;124;03m    hooks.  The output of all registered display_hooks is then\u001b[39;00m\n\u001b[1;32m   1273\u001b[0m \u001b[38;5;124;03m    combined and returned.\u001b[39;00m\n\u001b[1;32m   1274\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m-> 1275\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mStore\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrender\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/options.py:1428\u001b[0m, in \u001b[0;36mStore.render\u001b[0;34m(cls, obj)\u001b[0m\n\u001b[1;32m   1426\u001b[0m data, metadata \u001b[38;5;241m=\u001b[39m {}, {}\n\u001b[1;32m   1427\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m hook \u001b[38;5;129;01min\u001b[39;00m hooks:\n\u001b[0;32m-> 1428\u001b[0m     ret \u001b[38;5;241m=\u001b[39m \u001b[43mhook\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1429\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m ret \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   1430\u001b[0m         \u001b[38;5;28;01mcontinue\u001b[39;00m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/ipython/display_hooks.py:287\u001b[0m, in \u001b[0;36mpprint_display\u001b[0;34m(obj)\u001b[0m\n\u001b[1;32m    285\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m ip\u001b[38;5;241m.\u001b[39mdisplay_formatter\u001b[38;5;241m.\u001b[39mformatters[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtext/plain\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mpprint:\n\u001b[1;32m    286\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 287\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdisplay\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mraw_output\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/ipython/display_hooks.py:255\u001b[0m, in \u001b[0;36mdisplay\u001b[0;34m(obj, raw_output, **kwargs)\u001b[0m\n\u001b[1;32m    253\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj, (CompositeOverlay, ViewableElement)):\n\u001b[1;32m    254\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m option_state(obj):\n\u001b[0;32m--> 255\u001b[0m         output \u001b[38;5;241m=\u001b[39m \u001b[43melement_display\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    256\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj, (Layout, NdLayout, AdjointLayout)):\n\u001b[1;32m    257\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m option_state(obj):\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/ipython/display_hooks.py:149\u001b[0m, in \u001b[0;36mdisplay_hook.<locals>.wrapped\u001b[0;34m(element)\u001b[0m\n\u001b[1;32m    147\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m    148\u001b[0m     max_frames \u001b[38;5;241m=\u001b[39m OutputSettings\u001b[38;5;241m.\u001b[39moptions[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax_frames\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m--> 149\u001b[0m     mimebundle \u001b[38;5;241m=\u001b[39m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[43melement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_frames\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmax_frames\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    150\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m mimebundle \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    151\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m {}, {}\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/ipython/display_hooks.py:195\u001b[0m, in \u001b[0;36melement_display\u001b[0;34m(element, max_frames)\u001b[0m\n\u001b[1;32m    192\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mtype\u001b[39m(element) \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m Store\u001b[38;5;241m.\u001b[39mregistry[backend]:\n\u001b[1;32m    193\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m--> 195\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrender\u001b[49m\u001b[43m(\u001b[49m\u001b[43melement\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/ipython/display_hooks.py:76\u001b[0m, in \u001b[0;36mrender\u001b[0;34m(obj, **kwargs)\u001b[0m\n\u001b[1;32m     73\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m renderer\u001b[38;5;241m.\u001b[39mfig \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpdf\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m     74\u001b[0m     renderer \u001b[38;5;241m=\u001b[39m renderer\u001b[38;5;241m.\u001b[39minstance(fig\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpng\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 76\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrenderer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcomponents\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/plotting/renderer.py:396\u001b[0m, in \u001b[0;36mRenderer.components\u001b[0;34m(self, obj, fmt, comm, **kwargs)\u001b[0m\n\u001b[1;32m    394\u001b[0m embed \u001b[38;5;241m=\u001b[39m (\u001b[38;5;129;01mnot\u001b[39;00m (dynamic \u001b[38;5;129;01mor\u001b[39;00m streams \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwidget_mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlive\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m config\u001b[38;5;241m.\u001b[39membed)\n\u001b[1;32m    395\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m embed \u001b[38;5;129;01mor\u001b[39;00m config\u001b[38;5;241m.\u001b[39mcomms \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdefault\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[0;32m--> 396\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_render_panel\u001b[49m\u001b[43m(\u001b[49m\u001b[43mplot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43membed\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    397\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_render_ipywidget(plot)\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/plotting/renderer.py:403\u001b[0m, in \u001b[0;36mRenderer._render_panel\u001b[0;34m(self, plot, embed, comm)\u001b[0m\n\u001b[1;32m    401\u001b[0m doc \u001b[38;5;241m=\u001b[39m Document()\n\u001b[1;32m    402\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m config\u001b[38;5;241m.\u001b[39mset(embed\u001b[38;5;241m=\u001b[39membed):\n\u001b[0;32m--> 403\u001b[0m     model \u001b[38;5;241m=\u001b[39m \u001b[43mplot\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlayout\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_render_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    404\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m embed:\n\u001b[1;32m    405\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m render_model(model, comm)\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/panel/viewable.py:737\u001b[0m, in \u001b[0;36mViewable._render_model\u001b[0;34m(self, doc, comm)\u001b[0m\n\u001b[1;32m    735\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m comm \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    736\u001b[0m     comm \u001b[38;5;241m=\u001b[39m state\u001b[38;5;241m.\u001b[39m_comm_manager\u001b[38;5;241m.\u001b[39mget_server_comm()\n\u001b[0;32m--> 737\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_root\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    739\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_design \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_design\u001b[38;5;241m.\u001b[39mtheme\u001b[38;5;241m.\u001b[39mbokeh_theme:\n\u001b[1;32m    740\u001b[0m     doc\u001b[38;5;241m.\u001b[39mtheme \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_design\u001b[38;5;241m.\u001b[39mtheme\u001b[38;5;241m.\u001b[39mbokeh_theme\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/panel/layout/base.py:318\u001b[0m, in \u001b[0;36mPanel.get_root\u001b[0;34m(self, doc, comm, preprocess)\u001b[0m\n\u001b[1;32m    314\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_root\u001b[39m(\n\u001b[1;32m    315\u001b[0m     \u001b[38;5;28mself\u001b[39m, doc: Optional[Document] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m, comm: Optional[Comm] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[1;32m    316\u001b[0m     preprocess: \u001b[38;5;28mbool\u001b[39m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m    317\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Model:\n\u001b[0;32m--> 318\u001b[0m     root \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_root\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreprocess\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    319\u001b[0m     \u001b[38;5;66;03m# ALERT: Find a better way to handle this\u001b[39;00m\n\u001b[1;32m    320\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(root, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstyles\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124moverflow-x\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m root\u001b[38;5;241m.\u001b[39mstyles:\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/panel/viewable.py:668\u001b[0m, in \u001b[0;36mRenderable.get_root\u001b[0;34m(self, doc, comm, preprocess)\u001b[0m\n\u001b[1;32m    666\u001b[0m wrapper \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_design\u001b[38;5;241m.\u001b[39m_wrapper(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m    667\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m wrapper \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28mself\u001b[39m:\n\u001b[0;32m--> 668\u001b[0m     root \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    669\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m preprocess:\n\u001b[1;32m    670\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_preprocess(root)\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/panel/layout/base.py:184\u001b[0m, in \u001b[0;36mPanel._get_model\u001b[0;34m(self, doc, root, parent, comm)\u001b[0m\n\u001b[1;32m    182\u001b[0m root \u001b[38;5;241m=\u001b[39m root \u001b[38;5;129;01mor\u001b[39;00m model\n\u001b[1;32m    183\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_models[root\u001b[38;5;241m.\u001b[39mref[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mid\u001b[39m\u001b[38;5;124m'\u001b[39m]] \u001b[38;5;241m=\u001b[39m (model, parent)\n\u001b[0;32m--> 184\u001b[0m objects, _ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_objects\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mroot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    185\u001b[0m props \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_properties(doc)\n\u001b[1;32m    186\u001b[0m props[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_property_mapping[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mobjects\u001b[39m\u001b[38;5;124m'\u001b[39m]] \u001b[38;5;241m=\u001b[39m objects\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/panel/layout/base.py:166\u001b[0m, in \u001b[0;36mPanel._get_objects\u001b[0;34m(self, model, old_objects, doc, root, comm)\u001b[0m\n\u001b[1;32m    164\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    165\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 166\u001b[0m         child \u001b[38;5;241m=\u001b[39m \u001b[43mpane\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_model\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mroot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    167\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m RerenderError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m    168\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m e\u001b[38;5;241m.\u001b[39mlayout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m e\u001b[38;5;241m.\u001b[39mlayout \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m:\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/panel/pane/holoviews.py:429\u001b[0m, in \u001b[0;36mHoloViews._get_model\u001b[0;34m(self, doc, root, parent, comm)\u001b[0m\n\u001b[1;32m    427\u001b[0m     plot \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobject\n\u001b[1;32m    428\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 429\u001b[0m     plot \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_render\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcomm\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mroot\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    431\u001b[0m plot\u001b[38;5;241m.\u001b[39mpane \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m    432\u001b[0m backend \u001b[38;5;241m=\u001b[39m plot\u001b[38;5;241m.\u001b[39mrenderer\u001b[38;5;241m.\u001b[39mbackend\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/panel/pane/holoviews.py:525\u001b[0m, in \u001b[0;36mHoloViews._render\u001b[0;34m(self, doc, comm, root)\u001b[0m\n\u001b[1;32m    522\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m comm:\n\u001b[1;32m    523\u001b[0m         kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcomm\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m comm\n\u001b[0;32m--> 525\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mrenderer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_plot\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mobject\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/plotting/bokeh/renderer.py:68\u001b[0m, in \u001b[0;36mBokehRenderer.get_plot\u001b[0;34m(self_or_cls, obj, doc, renderer, **kwargs)\u001b[0m\n\u001b[1;32m     61\u001b[0m \u001b[38;5;129m@bothmethod\u001b[39m\n\u001b[1;32m     62\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_plot\u001b[39m(self_or_cls, obj, doc\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, renderer\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m     63\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     64\u001b[0m \u001b[38;5;124;03m    Given a HoloViews Viewable return a corresponding plot instance.\u001b[39;00m\n\u001b[1;32m     65\u001b[0m \u001b[38;5;124;03m    Allows supplying a document attach the plot to, useful when\u001b[39;00m\n\u001b[1;32m     66\u001b[0m \u001b[38;5;124;03m    combining the bokeh model with another plot.\u001b[39;00m\n\u001b[1;32m     67\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m---> 68\u001b[0m     plot \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_plot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdoc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrenderer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     69\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m plot\u001b[38;5;241m.\u001b[39mdocument \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m     70\u001b[0m         plot\u001b[38;5;241m.\u001b[39mdocument \u001b[38;5;241m=\u001b[39m Document() \u001b[38;5;28;01mif\u001b[39;00m self_or_cls\u001b[38;5;241m.\u001b[39mnotebook_context \u001b[38;5;28;01melse\u001b[39;00m curdoc()\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/plotting/renderer.py:239\u001b[0m, in \u001b[0;36mRenderer.get_plot\u001b[0;34m(self_or_cls, obj, doc, renderer, comm, **kwargs)\u001b[0m\n\u001b[1;32m    236\u001b[0m     defaults \u001b[38;5;241m=\u001b[39m [kd\u001b[38;5;241m.\u001b[39mdefault \u001b[38;5;28;01mfor\u001b[39;00m kd \u001b[38;5;129;01min\u001b[39;00m plot\u001b[38;5;241m.\u001b[39mdimensions]\n\u001b[1;32m    237\u001b[0m     init_key \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(v \u001b[38;5;28;01mif\u001b[39;00m d \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m d \u001b[38;5;28;01mfor\u001b[39;00m v, d \u001b[38;5;129;01min\u001b[39;00m\n\u001b[1;32m    238\u001b[0m                      \u001b[38;5;28mzip\u001b[39m(plot\u001b[38;5;241m.\u001b[39mkeys[\u001b[38;5;241m0\u001b[39m], defaults))\n\u001b[0;32m--> 239\u001b[0m     \u001b[43mplot\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mupdate\u001b[49m\u001b[43m(\u001b[49m\u001b[43minit_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    240\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    241\u001b[0m     plot \u001b[38;5;241m=\u001b[39m obj\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/plotting/plot.py:956\u001b[0m, in \u001b[0;36mDimensionedPlot.update\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m    954\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mupdate\u001b[39m(\u001b[38;5;28mself\u001b[39m, key):\n\u001b[1;32m    955\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m key \u001b[38;5;129;01min\u001b[39;00m (\u001b[38;5;241m0\u001b[39m, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mkeys[\u001b[38;5;241m0\u001b[39m]) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdrawn:\n\u001b[0;32m--> 956\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minitialize_plot\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    957\u001b[0m     item \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__getitem__\u001b[39m(key)\n\u001b[1;32m    958\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtraverse(\u001b[38;5;28;01mlambda\u001b[39;00m x: \u001b[38;5;28msetattr\u001b[39m(x, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_updated\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;28;01mTrue\u001b[39;00m))\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/plotting/bokeh/element.py:2130\u001b[0m, in \u001b[0;36mElementPlot.initialize_plot\u001b[0;34m(self, ranges, plot, plots, source)\u001b[0m\n\u001b[1;32m   2128\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mautorange:\n\u001b[1;32m   2129\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_setup_autorange()\n\u001b[0;32m-> 2130\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_init_glyphs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mplot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43melement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mranges\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msource\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2131\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39moverlaid:\n\u001b[1;32m   2132\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_plot(key, plot, style_element)\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/plotting/bokeh/element.py:2030\u001b[0m, in \u001b[0;36mElementPlot._init_glyphs\u001b[0;34m(self, plot, element, ranges, source)\u001b[0m\n\u001b[1;32m   2028\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   2029\u001b[0m     style \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mstyle[\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcyclic_index]\n\u001b[0;32m-> 2030\u001b[0m     data, mapping, style \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43melement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mranges\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstyle\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2031\u001b[0m     current_id \u001b[38;5;241m=\u001b[39m element\u001b[38;5;241m.\u001b[39m_plot_id\n\u001b[1;32m   2033\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m abbreviated_exception():\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/plotting/bokeh/chart.py:370\u001b[0m, in \u001b[0;36mCurvePlot.get_data\u001b[0;34m(self, element, ranges, style)\u001b[0m\n\u001b[1;32m    367\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m {}, \u001b[38;5;28mdict\u001b[39m(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my), style\n\u001b[1;32m    369\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msteps\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minterpolation:\n\u001b[0;32m--> 370\u001b[0m     element \u001b[38;5;241m=\u001b[39m \u001b[43minterpolate_curve\u001b[49m\u001b[43m(\u001b[49m\u001b[43melement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minterpolation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minterpolation\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    371\u001b[0m data \u001b[38;5;241m=\u001b[39m {x: element\u001b[38;5;241m.\u001b[39mdimension_values(xidx),\n\u001b[1;32m    372\u001b[0m         y: element\u001b[38;5;241m.\u001b[39mdimension_values(yidx)}\n\u001b[1;32m    373\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_hover_data(data, element)\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/param/parameterized.py:4468\u001b[0m, in \u001b[0;36mParameterizedFunction.__new__\u001b[0;34m(class_, *args, **params)\u001b[0m\n\u001b[1;32m   4466\u001b[0m inst \u001b[38;5;241m=\u001b[39m class_\u001b[38;5;241m.\u001b[39minstance()\n\u001b[1;32m   4467\u001b[0m inst\u001b[38;5;241m.\u001b[39mparam\u001b[38;5;241m.\u001b[39m_set_name(class_\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m)\n\u001b[0;32m-> 4468\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43minst\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__call__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/operation.py:220\u001b[0m, in \u001b[0;36mOperation.__call__\u001b[0;34m(self, element, **kwargs)\u001b[0m\n\u001b[1;32m    218\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlink_dataset\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_propagate_dataset\n\u001b[1;32m    219\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlink_inputs\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mp\u001b[38;5;241m.\u001b[39mlink_inputs\n\u001b[0;32m--> 220\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43melement\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/accessors.py:43\u001b[0m, in \u001b[0;36mAccessorPipelineMeta.pipelined.<locals>.pipelined_call\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     40\u001b[0m     inst\u001b[38;5;241m.\u001b[39m_obj\u001b[38;5;241m.\u001b[39m_in_method \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m     42\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m---> 43\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;21;43m__call__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     45\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m in_method:\n\u001b[1;32m     46\u001b[0m         init_op \u001b[38;5;241m=\u001b[39m factory\u001b[38;5;241m.\u001b[39minstance(\n\u001b[1;32m     47\u001b[0m             output_type\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mtype\u001b[39m(inst),\n\u001b[1;32m     48\u001b[0m             kwargs\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmode\u001b[39m\u001b[38;5;124m'\u001b[39m: \u001b[38;5;28mgetattr\u001b[39m(inst, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmode\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)},\n\u001b[1;32m     49\u001b[0m         )\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/accessors.py:203\u001b[0m, in \u001b[0;36mApply.__call__\u001b[0;34m(self, apply_function, streams, link_inputs, link_dataset, dynamic, per_element, **kwargs)\u001b[0m\n\u001b[1;32m    201\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(apply_function, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdynamic\u001b[39m\u001b[38;5;124m'\u001b[39m):\n\u001b[1;32m    202\u001b[0m     inner_kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdynamic\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m--> 203\u001b[0m new_obj \u001b[38;5;241m=\u001b[39m \u001b[43mapply_function\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43minner_kwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    204\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (link_dataset \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_obj, Dataset) \u001b[38;5;129;01mand\u001b[39;00m\n\u001b[1;32m    205\u001b[0m     \u001b[38;5;28misinstance\u001b[39m(new_obj, Dataset) \u001b[38;5;129;01mand\u001b[39;00m new_obj\u001b[38;5;241m.\u001b[39m_dataset \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m    206\u001b[0m     new_obj\u001b[38;5;241m.\u001b[39m_dataset \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_obj\u001b[38;5;241m.\u001b[39mdataset\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/operation.py:214\u001b[0m, in \u001b[0;36mOperation.__call__\u001b[0;34m(self, element, **kwargs)\u001b[0m\n\u001b[1;32m    210\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m element\u001b[38;5;241m.\u001b[39mclone([(k, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_apply(el, key\u001b[38;5;241m=\u001b[39mk))\n\u001b[1;32m    211\u001b[0m                               \u001b[38;5;28;01mfor\u001b[39;00m k, el \u001b[38;5;129;01min\u001b[39;00m element\u001b[38;5;241m.\u001b[39mitems()])\n\u001b[1;32m    212\u001b[0m     \u001b[38;5;28;01melif\u001b[39;00m ((\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_per_element \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(element, Element)) \u001b[38;5;129;01mor\u001b[39;00m\n\u001b[1;32m    213\u001b[0m           (\u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_per_element \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(element, ViewableElement))):\n\u001b[0;32m--> 214\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_apply\u001b[49m\u001b[43m(\u001b[49m\u001b[43melement\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    215\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstreams\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m kwargs:\n\u001b[1;32m    216\u001b[0m     kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstreams\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mp\u001b[38;5;241m.\u001b[39mstreams\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/operation.py:141\u001b[0m, in \u001b[0;36mOperation._apply\u001b[0;34m(self, element, key)\u001b[0m\n\u001b[1;32m    139\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m in_method:\n\u001b[1;32m    140\u001b[0m         element\u001b[38;5;241m.\u001b[39m_in_method \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m--> 141\u001b[0m ret \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_process\u001b[49m\u001b[43m(\u001b[49m\u001b[43melement\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    142\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(element, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_in_method\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m in_method:\n\u001b[1;32m    143\u001b[0m     element\u001b[38;5;241m.\u001b[39m_in_method \u001b[38;5;241m=\u001b[39m in_method\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/operation/element.py:1099\u001b[0m, in \u001b[0;36minterpolate_curve._process\u001b[0;34m(self, element, key)\u001b[0m\n\u001b[1;32m   1098\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_process\u001b[39m(\u001b[38;5;28mself\u001b[39m, element, key\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m-> 1099\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43melement\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_process_layer\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mElement\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/data/__init__.py:196\u001b[0m, in \u001b[0;36mPipelineMeta.pipelined.<locals>.pipelined_fn\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    193\u001b[0m     inst\u001b[38;5;241m.\u001b[39m_in_method \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m    195\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 196\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mmethod_fn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    197\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m PipelineMeta\u001b[38;5;241m.\u001b[39mdisable:\n\u001b[1;32m    198\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/data/__init__.py:1213\u001b[0m, in \u001b[0;36mDataset.map\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m   1211\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(LabelledData\u001b[38;5;241m.\u001b[39mmap)\n\u001b[1;32m   1212\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmap\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m-> 1213\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmap\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/core/dimension.py:695\u001b[0m, in \u001b[0;36mLabelledData.map\u001b[0;34m(self, map_fn, specs, clone)\u001b[0m\n\u001b[1;32m    693\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m deep_mapped\n\u001b[1;32m    694\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 695\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmap_fn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m applies \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/operation/element.py:1093\u001b[0m, in \u001b[0;36minterpolate_curve._process_layer\u001b[0;34m(self, element, key)\u001b[0m\n\u001b[1;32m   1091\u001b[0m     x \u001b[38;5;241m=\u001b[39m x\u001b[38;5;241m.\u001b[39mastype(dt_type)\n\u001b[1;32m   1092\u001b[0m dvals \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(element\u001b[38;5;241m.\u001b[39mdimension_values(d) \u001b[38;5;28;01mfor\u001b[39;00m d \u001b[38;5;129;01min\u001b[39;00m element\u001b[38;5;241m.\u001b[39mdimensions()[\u001b[38;5;241m1\u001b[39m:])\n\u001b[0;32m-> 1093\u001b[0m xs, dvals \u001b[38;5;241m=\u001b[39m \u001b[43mINTERPOLATE_FUNCS\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43minterpolation\u001b[49m\u001b[43m]\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdvals\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1094\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_datetime:\n\u001b[1;32m   1095\u001b[0m     xs \u001b[38;5;241m=\u001b[39m xs\u001b[38;5;241m.\u001b[39mastype(dt_type)\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/holoviews/operation/element.py:1055\u001b[0m, in \u001b[0;36minterpolate_curve.pts_to_midstep\u001b[0;34m(cls, x, values)\u001b[0m\n\u001b[1;32m   1052\u001b[0m value_steps \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtuple\u001b[39m(np\u001b[38;5;241m.\u001b[39mempty(\u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m \u001b[38;5;28mlen\u001b[39m(x), dtype\u001b[38;5;241m=\u001b[39mv\u001b[38;5;241m.\u001b[39mdtype) \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m values)\n\u001b[1;32m   1054\u001b[0m steps[\u001b[38;5;241m1\u001b[39m:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m:\u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m=\u001b[39m steps[\u001b[38;5;241m2\u001b[39m::\u001b[38;5;241m2\u001b[39m] \u001b[38;5;241m=\u001b[39m x[:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m+\u001b[39m (x[\u001b[38;5;241m1\u001b[39m:] \u001b[38;5;241m-\u001b[39m x[:\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m])\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m2\u001b[39m\n\u001b[0;32m-> 1055\u001b[0m steps[\u001b[38;5;241m0\u001b[39m], steps[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[43mx\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m, x[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\n\u001b[1;32m   1057\u001b[0m val_arrays \u001b[38;5;241m=\u001b[39m []\n\u001b[1;32m   1058\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m v, s \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(values, value_steps):\n",
-      "\u001b[0;31mIndexError\u001b[0m: index 0 is out of bounds for axis 0 with size 0"
-     ]
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+     "output_type": "display_data"
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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"1d2b37cc-3516-4f93-b7d2-a930c98a3e8b\",\"roots\":{\"p1079\":\"ebe0ad18-b92e-4406-9f42-6ab7b448b1d7\"},\"root_ids\":[\"p1079\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  async function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ],
       "text/plain": [
        ":Curve   [month]   (n_edits)"
       ]
      },
-     "execution_count": 26,
-     "metadata": {},
+     "execution_count": 12,
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "p1079"
+      }
+     },
      "output_type": "execute_result"
     }
    ],
@@ -351,7 +378,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "id": "9550233a-592f-4d4c-9d97-f334bdd503d2",
    "metadata": {},
    "outputs": [],
@@ -384,7 +411,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 14,
    "id": "6d5bf28a-a70c-4cc6-8633-8dad9d36a744",
    "metadata": {},
    "outputs": [],
@@ -429,17 +456,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 15,
    "id": "95b75d40-3a35-40a3-b215-6e673892af7e",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<traitlets.traitlets.directional_link at 0x7e30a802d6d0>"
+       "<traitlets.traitlets.directional_link at 0x754e04508110>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -480,14 +507,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 16,
    "id": "d79e15a5-d969-4fb6-a548-06d147334c1b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8d0780a21a21470c936398b675e95a4f",
+       "model_id": "9b46fb7f5bc342cb895be8b4b243badd",
        "version_major": 2,
        "version_minor": 1
       },
@@ -501,7 +528,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "79f266344362405381e8e725a9db5a1a",
+       "model_id": "bcd2f0f5aa3449adb6fa6bd29f88d691",
        "version_major": 2,
        "version_minor": 0
       },
diff --git a/book/02b_buildings_currentness_DuckDB_only.ipynb b/book/02b_buildings_currentness_DuckDB_only.ipynb
index 86466fc..a1547c2 100644
--- a/book/02b_buildings_currentness_DuckDB_only.ipynb
+++ b/book/02b_buildings_currentness_DuckDB_only.ipynb
@@ -22,13 +22,13 @@
    "id": "23f48837-22c6-4c12-ab34-a99881cd844b",
    "metadata": {},
    "source": [
-    "# Getting started\n",
+    "## Getting started\n",
     "Set connection params."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 1,
    "id": "331fd063-1ce7-46c9-96ea-e2984cf5459b",
    "metadata": {},
    "outputs": [],
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 2,
    "id": "96acb582-a7e9-440d-914d-969fcf25a5c1",
    "metadata": {},
    "outputs": [],
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "id": "d668f6b2-5d83-43d0-8f36-93f676385216",
    "metadata": {},
    "outputs": [
@@ -120,7 +120,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 4,
    "id": "f79d24f5f976b9e3",
    "metadata": {
     "ExecuteTime": {
@@ -163,14 +163,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "id": "4c0e802d-013b-43ac-87fa-5b22059f93fa",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "57657fe12bc14467a4e33c59bf132156",
+       "model_id": "8b0b959e81be4f5ca563cb9343d048ef",
        "version_major": 2,
        "version_minor": 0
       },
@@ -185,7 +185,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "download took 6.076 sec.\n"
+      "download took 7.882 sec.\n"
      ]
     }
    ],
@@ -233,7 +233,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "id": "07f16b43-3cda-4a76-a99d-1ce96633ca66",
    "metadata": {},
    "outputs": [
@@ -757,11 +757,11 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1002'>\n",
-       "  <div id=\"de85972b-630d-4182-9c79-38473b5c6045\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"abbe808d-91bd-4af4-b3c9-ee08795c0450\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"a6c2127a-c28e-4a57-9a24-6184c5e767f0\":{\"version\":\"3.4.3\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"6fb72c05c00d409da9c791b534833cad\",\"client_comm_id\":\"6fd4eb3274a74a408498d3abd3ba10e3\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
-       "  var render_items = [{\"docid\":\"a6c2127a-c28e-4a57-9a24-6184c5e767f0\",\"roots\":{\"p1002\":\"de85972b-630d-4182-9c79-38473b5c6045\"},\"root_ids\":[\"p1002\"]}];\n",
+       "  var docs_json = {\"e95b6650-e3b6-4d28-bec8-334bbdbd5a68\":{\"version\":\"3.4.3\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"759487e5751f49dba10b82692b3ea1c9\",\"client_comm_id\":\"e8df33e674594332afa8caa74203fd21\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"e95b6650-e3b6-4d28-bec8-334bbdbd5a68\",\"roots\":{\"p1002\":\"abbe808d-91bd-4af4-b3c9-ee08795c0450\"},\"root_ids\":[\"p1002\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
@@ -845,11 +845,11 @@
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
        "<div id='p1004'>\n",
-       "  <div id=\"d78942dd-8424-4b18-9967-129d309daed8\" data-root-id=\"p1004\" style=\"display: contents;\"></div>\n",
+       "  <div id=\"f803e201-c46e-4bc7-a51d-d6a33823b778\" data-root-id=\"p1004\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
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fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"9c8736ef-ff65-448b-9505-ffb8f79b84f3\",\"roots\":{\"p1004\":\"f803e201-c46e-4bc7-a51d-d6a33823b778\"},\"root_ids\":[\"p1004\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
@@ -919,7 +919,7 @@
        ":Curve   [month]   (n_edits)"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 6,
      "metadata": {
       "application/vnd.holoviews_exec.v0+json": {
        "id": "p1004"
@@ -958,7 +958,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 7,
    "id": "9550233a-592f-4d4c-9d97-f334bdd503d2",
    "metadata": {},
    "outputs": [],
@@ -991,7 +991,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "id": "6d5bf28a-a70c-4cc6-8633-8dad9d36a744",
    "metadata": {},
    "outputs": [],
@@ -1036,17 +1036,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "id": "95b75d40-3a35-40a3-b215-6e673892af7e",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<traitlets.traitlets.directional_link at 0x7e30a802d6d0>"
+       "<traitlets.traitlets.directional_link at 0x7cdde89582c0>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1087,14 +1087,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "id": "d79e15a5-d969-4fb6-a548-06d147334c1b",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8d0780a21a21470c936398b675e95a4f",
+       "model_id": "7a0aeff9c5bd48bfabb7df58e5d26f70",
        "version_major": 2,
        "version_minor": 1
       },
@@ -1108,7 +1108,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "79f266344362405381e8e725a9db5a1a",
+       "model_id": "03d57db12aa34f86bb20c33b05221623",
        "version_major": 2,
        "version_minor": 0
       },
diff --git a/book/03_hot_tm_project_analysis.ipynb b/book/03_hot_tm_project_analysis.ipynb
index 0253e8a..2a25874 100644
--- a/book/03_hot_tm_project_analysis.ipynb
+++ b/book/03_hot_tm_project_analysis.ipynb
@@ -23,7 +23,7 @@
    "id": "e1f3f905-3bea-40ba-b986-952783ac9a85",
    "metadata": {},
    "source": [
-    "# Getting started\n",
+    "## Getting started\n",
     "Set connection params."
    ]
   },
diff --git a/book/03_mapillary_data_analysis.ipynb b/book/03_mapillary_data_analysis.ipynb
index 37af5a2..b91f1a8 100644
--- a/book/03_mapillary_data_analysis.ipynb
+++ b/book/03_mapillary_data_analysis.ipynb
@@ -5,7 +5,7 @@
    "id": "92ed789b-0939-4569-b6df-59a7d1fe84b6",
    "metadata": {},
    "source": [
-    "# DuckDB: Mapillary Coverage Analysis"
+    "# Mapillary Coverage Analysis"
    ]
   },
   {
@@ -30,13 +30,13 @@
    "id": "e82e4711-603e-48cf-b354-98c747369b6f",
    "metadata": {},
    "source": [
-    "# Getting started\n",
+    "## Getting started\n",
     "Set connection params."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "e4b65819-7f54-4274-bce1-a3fff65f6622",
    "metadata": {},
    "outputs": [],
@@ -57,7 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "96689ade-33d6-4ec2-8891-0064b091e492",
    "metadata": {},
    "outputs": [],
@@ -74,6 +74,36 @@
     "con.load_extension(\"spatial\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "6488fb48-98c0-4efc-b620-90360620fb70",
+   "metadata": {},
+   "source": [
+    "Set the connection params to Iceberg Rest Catalog."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "3573e2f8-187f-4764-80b7-4839e39fbff1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyiceberg.catalog.rest import RestCatalog\n",
+    "\n",
+    "catalog = RestCatalog(\n",
+    "    name=\"default\",\n",
+    "    **{\n",
+    "        \"uri\": \"https://sotm2024.iceberg.ohsome.org\",\n",
+    "        \"s3.endpoint\": \"https://sotm2024.minio.heigit.org\",\n",
+    "        \"py-io-impl\": \"pyiceberg.io.pyarrow.PyArrowFileIO\",\n",
+    "        \"s3.access-key-id\": s3_user,\n",
+    "        \"s3.secret-access-key\": s3_password,\n",
+    "        \"s3.region\": \"eu-central-1\"\n",
+    "    }\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "f887fd5d-12c5-4b40-ac81-9d5335e8ae72",
@@ -84,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "id": "e706d9de-d90e-4f7d-8ee3-c59dce2eb211",
    "metadata": {},
    "outputs": [
@@ -128,15 +158,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 9,
    "id": "3c96e350-9ee5-4ce3-ac6f-bc36f58069da",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Set s3 path for parquet input data\n",
-    "osm_parquet_data_path = \"s3a://heigit-ohsome-sotm24/data/geo_sort_ext/contributions_germany/**\"\n",
-    "#osm_parquet_data_path = \"s3a://heigit-ohsome-sotm24/data/geo_sort_ext/global_wkt_smaller/**\"\n",
-    "\n",
+    "# Set iceberg table\n",
+    "namespace = 'geo_sort'\n",
+    "tablename = 'contributions'\n",
+    "icebergtable = catalog.load_table((namespace, tablename))\n",
     "\n",
     "mapillary_parquet_data_path = \"s3a://heigit-ohsome-sotm24/data/mapillary_sequences/*\"\n",
     "\n",
@@ -153,7 +183,7 @@
     "\n",
     "selected_region = 'nairobi'\n",
     "xmin, ymin, xmax, ymax = bboxes[selected_region]\n",
-    "area_of_interest_file =f\"../data/{selected_region}.geojson\"\n",
+    "area_of_interest_file = f\"s3a://heigit-ohsome-sotm24/data/sample_data/{selected_region}.geojson\"\n",
     "\n",
     "epsg_codes = {\n",
     "    'heidelberg': 'EPSG:32632',\n",
@@ -173,20 +203,82 @@
    "id": "46b5e594-4809-494d-b57d-21be66ba6dda",
    "metadata": {},
    "source": [
-    "# Get OSM data"
+    "## Get OSM data\n",
+    "Download latest OSM data for bounding box."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "5242ac0a-b4dd-4ee0-9b25-870c14eb85df",
+   "execution_count": 8,
+   "id": "72c702fd-6008-495f-b0d3-ea30dba45e05",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "download took 17.048 sec.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import time\n",
+    "start_time = time.time()\n",
+    "\n",
+    "icebergtable.scan(\n",
+    "    row_filter=(\n",
+    "        f\"status = '{status}' \"\n",
+    "        f\"and geometry_type = '{geometry_type}' \"\n",
+    "        f\"and (xmax >= {xmin} and xmin <= {xmax}) \"\n",
+    "        f\"and (ymax >= {ymin} and ymin <= {ymax}) \"\n",
+    "    ),\n",
+    "    selected_fields=(\n",
+    "        \"user_id\",\n",
+    "        \"osm_id\",\n",
+    "        \"osm_version\",\n",
+    "        \"valid_from\",\n",
+    "        \"tags\",\n",
+    "        \"geometry\",\n",
+    "    ),\n",
+    ").to_duckdb('raw_osm_data',connection=con)\n",
+    "\n",
+    "download_time = round(time.time() - start_time, 3)\n",
+    "print(f\"download took {download_time} sec.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7f24165f-4487-4a3d-8420-e5efb509bdd5",
+   "metadata": {},
+   "source": [
+    "Clip OSM highways with to area of interest and calculate road length in kilometer."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "659edf3c-6c10-47a5-865e-91536b6663c3",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "871b0e2dfb9c4247916b38b95d543210",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "download took 1.619 sec.\n"
+      "processing took 3.557 sec.\n"
      ]
     }
    ],
@@ -205,23 +297,19 @@
     "    ST_GeomFromText(a.geometry) as geometry,\n",
     "    a.geometry.ST_GeomFromText().ST_Length_Spheroid() / 1000 as length_km,\n",
     "FROM\n",
-    "    read_parquet('{osm_parquet_data_path}', hive_partitioning=true) as a,\n",
+    "    raw_osm_data as a,\n",
     "    st_read('{area_of_interest_file}') as aoi\n",
     "WHERE 1=1\n",
-    "    and status = '{status}'\n",
-    "    and geometry_type = '{geometry_type}'\n",
     "    and tags['highway'][1] is not null\n",
     "    -- spatial filtering part\n",
-    "    and (a.bbox.xmax >= {xmin} AND a.bbox.xmin <= {xmax})\n",
-    "    and (a.bbox.ymax >= {ymin} AND a.bbox.ymin <= {ymax})\n",
     "    and ST_Intersects(st_GeomFromText(a.geometry), aoi.geom)\n",
     ")\n",
     ";\n",
     "\"\"\"\n",
     "con.sql(query)\n",
     "\n",
-    "download_time = round(time.time() - start_time, 3)\n",
-    "print(f\"download took {download_time} sec.\")"
+    "processing_time = round(time.time() - start_time, 3)\n",
+    "print(f\"processing took {processing_time} sec.\")"
    ]
   },
   {
@@ -229,12 +317,12 @@
    "id": "e56b851e-11db-4303-8932-12465b74aec7",
    "metadata": {},
    "source": [
-    "Display OSM data."
+    "Display OSM data on a map."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 22,
    "id": "88978e29-f19f-406b-8c55-adf8b7165ba2",
    "metadata": {},
    "outputs": [],
@@ -256,25 +344,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 23,
    "id": "bfb73ca1-53f5-4b89-b33a-26966bf03a17",
    "metadata": {},
    "outputs": [
     {
-     "ename": "ValueError",
-     "evalue": "Geometry type combination is not supported ([])",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[7], line 4\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mlonboard\u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;66;03m# the lonboard map definition\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m osm_layer \u001b[38;5;241m=\u001b[39m \u001b[43mlonboard\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPathLayer\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_geopandas\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m      5\u001b[0m \u001b[43m    \u001b[49m\u001b[43mosm_data_gdf\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[43m    \u001b[49m\u001b[43mget_color\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m255\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m255\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m255\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m      7\u001b[0m \u001b[43m)\u001b[49m\n\u001b[1;32m      9\u001b[0m view_state \u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m     10\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlongitude\u001b[39m\u001b[38;5;124m\"\u001b[39m: xmin \u001b[38;5;241m+\u001b[39m ((xmax \u001b[38;5;241m-\u001b[39m xmin) \u001b[38;5;241m/\u001b[39m \u001b[38;5;241m2\u001b[39m),\n\u001b[1;32m     11\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlatitude\u001b[39m\u001b[38;5;124m\"\u001b[39m: ymin \u001b[38;5;241m+\u001b[39m ((ymax \u001b[38;5;241m-\u001b[39m ymin) \u001b[38;5;241m/\u001b[39m \u001b[38;5;241m2\u001b[39m),\n\u001b[1;32m     12\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mzoom\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m12\u001b[39m\n\u001b[1;32m     13\u001b[0m }\n\u001b[1;32m     15\u001b[0m osm_map \u001b[38;5;241m=\u001b[39m lonboard\u001b[38;5;241m.\u001b[39mMap(\n\u001b[1;32m     16\u001b[0m     basemap_style\u001b[38;5;241m=\u001b[39mlonboard\u001b[38;5;241m.\u001b[39mbasemap\u001b[38;5;241m.\u001b[39mCartoBasemap\u001b[38;5;241m.\u001b[39mPositron,\n\u001b[1;32m     17\u001b[0m     layers\u001b[38;5;241m=\u001b[39m[osm_layer],\n\u001b[1;32m     18\u001b[0m     view_state\u001b[38;5;241m=\u001b[39mview_state\n\u001b[1;32m     19\u001b[0m )\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/lonboard/_layer.py:1211\u001b[0m, in \u001b[0;36mPathLayer.from_geopandas\u001b[0;34m(cls, gdf, auto_downcast, **kwargs)\u001b[0m\n\u001b[1;32m   1203\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m   1204\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfrom_geopandas\u001b[39m(\n\u001b[1;32m   1205\u001b[0m     \u001b[38;5;28mcls\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1209\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Unpack[PathLayerKwargs],\n\u001b[1;32m   1210\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Self:\n\u001b[0;32m-> 1211\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_geopandas\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgdf\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgdf\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mauto_downcast\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mauto_downcast\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/lonboard/_layer.py:333\u001b[0m, in \u001b[0;36mBaseArrowLayer.from_geopandas\u001b[0;34m(cls, gdf, auto_downcast, **kwargs)\u001b[0m\n\u001b[1;32m    329\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m auto_downcast:\n\u001b[1;32m    330\u001b[0m     \u001b[38;5;66;03m# Note: we don't deep copy because we don't need to clone geometries\u001b[39;00m\n\u001b[1;32m    331\u001b[0m     gdf \u001b[38;5;241m=\u001b[39m _auto_downcast(gdf\u001b[38;5;241m.\u001b[39mcopy())  \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[0;32m--> 333\u001b[0m table \u001b[38;5;241m=\u001b[39m \u001b[43mgeopandas_to_geoarrow\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgdf\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    334\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mcls\u001b[39m(table\u001b[38;5;241m=\u001b[39mtable, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/lonboard/_geoarrow/geopandas_interop.py:21\u001b[0m, in \u001b[0;36mgeopandas_to_geoarrow\u001b[0;34m(gdf, columns, preserve_index)\u001b[0m\n\u001b[1;32m     18\u001b[0m     df_attr \u001b[38;5;241m=\u001b[39m df_attr[columns]\n\u001b[1;32m     20\u001b[0m table \u001b[38;5;241m=\u001b[39m pa\u001b[38;5;241m.\u001b[39mTable\u001b[38;5;241m.\u001b[39mfrom_pandas(df_attr, preserve_index\u001b[38;5;241m=\u001b[39mpreserve_index)\n\u001b[0;32m---> 21\u001b[0m field, geom_arr \u001b[38;5;241m=\u001b[39m \u001b[43mconstruct_geometry_array\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     22\u001b[0m \u001b[43m    \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgeometry\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     23\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcrs_str\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcrs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_json\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mgdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcrs\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mis\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m     24\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     26\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m table\u001b[38;5;241m.\u001b[39mappend_column(field, geom_arr)\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/lonboard/_geoarrow/extension_types.py:292\u001b[0m, in \u001b[0;36mconstruct_geometry_array\u001b[0;34m(shapely_arr, include_z, field_name, crs_str)\u001b[0m\n\u001b[1;32m    282\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mconstruct_geometry_array\u001b[39m(\n\u001b[1;32m    283\u001b[0m     shapely_arr: NDArray[np\u001b[38;5;241m.\u001b[39mobject_],\n\u001b[1;32m    284\u001b[0m     include_z: Optional[\u001b[38;5;28mbool\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    290\u001b[0m     \u001b[38;5;66;03m# extension metadata on the field without instantiating extension types into the\u001b[39;00m\n\u001b[1;32m    291\u001b[0m     \u001b[38;5;66;03m# global pyarrow registry\u001b[39;00m\n\u001b[0;32m--> 292\u001b[0m     geom_type, coords, offsets \u001b[38;5;241m=\u001b[39m \u001b[43mshapely\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mto_ragged_array\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    293\u001b[0m \u001b[43m        \u001b[49m\u001b[43mshapely_arr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minclude_z\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minclude_z\u001b[49m\n\u001b[1;32m    294\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    296\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m coords\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m2\u001b[39m:\n\u001b[1;32m    297\u001b[0m         dims \u001b[38;5;241m=\u001b[39m CoordinateDimension\u001b[38;5;241m.\u001b[39mXY\n",
-      "File \u001b[0;32m~/GIT_REPOS/sotm-2024-ohsome-data-insights-workshop/venv/lib/python3.12/site-packages/shapely/_ragged_array.py:292\u001b[0m, in \u001b[0;36mto_ragged_array\u001b[0;34m(geometries, include_z)\u001b[0m\n\u001b[1;32m    287\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    288\u001b[0m             \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGeometry type combination is not supported \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    289\u001b[0m             \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m[GeometryType(t)\u001b[38;5;241m.\u001b[39mname\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mfor\u001b[39;00m\u001b[38;5;250m \u001b[39mt\u001b[38;5;250m \u001b[39m\u001b[38;5;129;01min\u001b[39;00m\u001b[38;5;250m \u001b[39mgeom_types]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    290\u001b[0m         )\n\u001b[1;32m    291\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 292\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m    293\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mGeometry type combination is not supported \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    294\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m[GeometryType(t)\u001b[38;5;241m.\u001b[39mname\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mfor\u001b[39;00m\u001b[38;5;250m \u001b[39mt\u001b[38;5;250m \u001b[39m\u001b[38;5;129;01min\u001b[39;00m\u001b[38;5;250m \u001b[39mgeom_types]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    295\u001b[0m     )\n\u001b[1;32m    297\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m typ, coords, offsets\n",
-      "\u001b[0;31mValueError\u001b[0m: Geometry type combination is not supported ([])"
-     ]
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "84c0e71559bd46f8857c9bc71153bcf8",
+       "version_major": 2,
+       "version_minor": 1
+      },
+      "text/plain": [
+       "Map(basemap_style=<CartoBasemap.Positron: 'https://basemaps.cartocdn.com/gl/positron-gl-style/style.json'>, la…"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -306,12 +392,13 @@
    "id": "8874992b-af6f-4bd8-8354-02310f9f9821",
    "metadata": {},
    "source": [
-    "# Get Mapillary Data"
+    "## Get Mapillary Data\n",
+    "We are going to download Mapillary sequences."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 24,
    "id": "08b7b00d-3d96-4927-81cc-5f08d0ee5e5c",
    "metadata": {},
    "outputs": [
@@ -319,7 +406,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "download took 1.247 sec.\n"
+      "download took 1.241 sec.\n"
      ]
     }
    ],
@@ -350,9 +437,17 @@
     "print(f\"download took {download_time} sec.\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "67c78055-cc67-4d53-a12e-5cd64603177a",
+   "metadata": {},
+   "source": [
+    "Display Mapillary data on a map."
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 25,
    "id": "3695df2a-3f3f-4ab1-a73e-be191a550e79",
    "metadata": {},
    "outputs": [],
@@ -375,14 +470,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 26,
    "id": "27898d66-7197-4e3e-802f-30705f9e882c",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8ac1aed14af542fbaf658988ebbf6734",
+       "model_id": "b8352f7712924d11b563c744332d5845",
        "version_major": 2,
        "version_minor": 1
       },
@@ -421,7 +516,7 @@
    "id": "9cdefd71-ba3c-4051-9664-063ceb14c574",
    "metadata": {},
    "source": [
-    "# Find OSM ways not covered by (buffered) Mapillary sequence"
+    "## Find OSM ways not covered by (buffered) Mapillary sequence"
    ]
   },
   {
@@ -433,7 +528,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "b923769266024fc2b7c6b15f9a7b2cca",
+       "model_id": "53c6b2b8978045c3977416c142207b20",
        "version_major": 2,
        "version_minor": 0
       },
@@ -485,6 +580,14 @@
     "con.sql(query)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "89fec34f-b678-4d53-936b-3b1cf805dcd3",
+   "metadata": {},
+   "source": [
+    "Display results on a map."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 28,
@@ -504,14 +607,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 29,
    "id": "c77d9fb1-f74e-4060-9f34-3542335d1465",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "519d5f1a28a04245a61acdce50e54981",
+       "model_id": "8f5166aa808046d4bc0c2dd1b62948ca",
        "version_major": 2,
        "version_minor": 1
       },
@@ -551,12 +654,12 @@
    "id": "915f2efc-8c92-4e00-bdb4-8d55b1b26f4f",
    "metadata": {},
    "source": [
-    "# Calculate share of road network covered by Mapillary"
+    "## Calculate share of road network covered by Mapillary"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 30,
    "id": "6270a460-ef7f-42fb-8aba-21db40fee454",
    "metadata": {},
    "outputs": [
@@ -586,7 +689,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 31,
    "id": "d1db4e67-72f5-453f-8249-82780a2c1b4f",
    "metadata": {},
    "outputs": [
@@ -598,26 +701,26 @@
       "│ highway_value  │ total_length_km │ not_covered_length_km │ mapillary_coverage │\n",
       "│    varchar     │     double      │        double         │       double       │\n",
       "├────────────────┼─────────────────┼───────────────────────┼────────────────────┤\n",
-      "│ motorway       │          40.216 │                 2.624 │              0.935 │\n",
-      "│ trunk          │         183.263 │                19.269 │              0.895 │\n",
-      "│ motorway_link  │          13.904 │                 1.776 │              0.872 │\n",
-      "│ trunk_link     │          22.641 │                 4.927 │              0.782 │\n",
+      "│ motorway       │          40.217 │                 2.624 │              0.935 │\n",
+      "│ trunk          │         183.268 │                19.269 │              0.895 │\n",
+      "│ motorway_link  │            13.9 │                 1.776 │              0.872 │\n",
+      "│ trunk_link     │          22.638 │                 4.927 │              0.782 │\n",
       "│ primary_link   │           12.95 │                  3.43 │              0.735 │\n",
-      "│ primary        │         105.382 │                 34.93 │              0.669 │\n",
-      "│ cycleway       │          29.469 │                12.762 │              0.567 │\n",
-      "│ secondary      │         365.844 │               165.322 │              0.548 │\n",
-      "│ secondary_link │           9.282 │                 4.257 │              0.541 │\n",
-      "│ tertiary       │         180.208 │                 97.04 │              0.462 │\n",
-      "│ tertiary_link  │           1.126 │                 0.694 │              0.384 │\n",
-      "│ unclassified   │         354.191 │               226.411 │              0.361 │\n",
-      "│ steps          │           1.386 │                 0.946 │              0.317 │\n",
-      "│ pedestrian     │           4.059 │                 3.114 │              0.233 │\n",
-      "│ residential    │        3576.012 │              2868.926 │              0.198 │\n",
-      "│ footway        │         136.649 │               110.634 │               0.19 │\n",
-      "│ service        │        1391.092 │               1134.82 │              0.184 │\n",
-      "│ living_street  │           8.259 │                 6.841 │              0.172 │\n",
-      "│ track          │         401.247 │               335.547 │              0.164 │\n",
-      "│ path           │         212.552 │               194.438 │              0.085 │\n",
+      "│ primary        │         105.381 │                 34.93 │              0.669 │\n",
+      "│ cycleway       │          29.471 │                12.762 │              0.567 │\n",
+      "│ secondary      │         365.832 │               165.322 │              0.548 │\n",
+      "│ secondary_link │           9.276 │                 4.257 │              0.541 │\n",
+      "│ tertiary       │         180.199 │                 97.04 │              0.461 │\n",
+      "│ tertiary_link  │           1.121 │                 0.694 │              0.381 │\n",
+      "│ unclassified   │         354.176 │               226.411 │              0.361 │\n",
+      "│ steps          │           1.389 │                 0.946 │              0.319 │\n",
+      "│ pedestrian     │           4.057 │                 3.114 │              0.233 │\n",
+      "│ residential    │        3575.996 │              2868.926 │              0.198 │\n",
+      "│ footway        │         136.661 │               110.634 │               0.19 │\n",
+      "│ service        │        1391.071 │               1134.82 │              0.184 │\n",
+      "│ living_street  │           8.256 │                 6.841 │              0.171 │\n",
+      "│ track          │         401.246 │               335.547 │              0.164 │\n",
+      "│ path           │         212.548 │               194.438 │              0.085 │\n",
       "├────────────────┴─────────────────┴───────────────────────┴────────────────────┤\n",
       "│ 20 rows                                                             4 columns │\n",
       "└───────────────────────────────────────────────────────────────────────────────┘\n",
@@ -660,6 +763,14 @@
     "\"\"\"\n",
     "con.sql(query).show()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d994fc9a-0ef4-44ca-b1d3-92b4bbc2eb7c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/book/04_Country_User_Activity_DuckDB_only.ipynb b/book/04_Country_User_Activity_DuckDB_only.ipynb
index b04acf8..180b153 100644
--- a/book/04_Country_User_Activity_DuckDB_only.ipynb
+++ b/book/04_Country_User_Activity_DuckDB_only.ipynb
@@ -5,7 +5,7 @@
    "id": "e9dc6612-474d-4acc-b582-c1938fc934e7",
    "metadata": {},
    "source": [
-    "# DuckDB: Country user activity map\n",
+    "# User activity map\n",
     "In this notebook we demonstrate how to analyze and visualize daily OSM user activity for a country.\n",
     "\n",
     "These are the steps you see further down:\n",
@@ -21,13 +21,13 @@
    "id": "c05030dc-5478-4d48-a1c3-514393d1ce1c",
    "metadata": {},
    "source": [
-    "# Getting started\n",
+    "## Getting started\n",
     "Set connection params."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "id": "28abef98-ce6d-416f-b9e5-6902792febec",
    "metadata": {},
    "outputs": [],
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "id": "d025997b-17a6-42b9-9b76-e95c5293fc79",
    "metadata": {},
    "outputs": [],
@@ -66,6 +66,46 @@
     "con.load_extension(\"spatial\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "3698a75f-ff95-463b-98dd-2dd05680c94e",
+   "metadata": {},
+   "source": [
+    "Set the connection params to Iceberg Rest Catalog."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39b78ffb-9f49-4a66-bbb3-b752992deb07",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install \"pyiceberg[s3fs,duckdb,sql-sqlite,pyarrow]\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "939cfc99-0c29-4e09-872a-083d7364a957",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyiceberg.catalog.rest import RestCatalog\n",
+    "\n",
+    "catalog = RestCatalog(\n",
+    "    name=\"default\",\n",
+    "    **{\n",
+    "        \"uri\": \"https://sotm2024.iceberg.ohsome.org\",\n",
+    "        \"s3.endpoint\": \"https://sotm2024.minio.heigit.org\",\n",
+    "        \"py-io-impl\": \"pyiceberg.io.pyarrow.PyArrowFileIO\",\n",
+    "        \"s3.access-key-id\": s3_user,\n",
+    "        \"s3.secret-access-key\": s3_password,\n",
+    "        \"s3.region\": \"eu-central-1\"\n",
+    "    }\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "7da992ee-ac70-4d31-98f7-a3a2d301855a",
@@ -123,14 +163,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 77,
    "id": "c125effb-70cc-4b35-9246-72e334c8f4e4",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Set s3 path for parquet input data\n",
-    "#parquet_data_path = \"s3a://heigit-ohsome-sotm24/data/geo_sort_ext/contributions_germany_h3/**\"\n",
-    "parquet_data_path = \"s3a://heigit-ohsome-sotm24/data/geo_sort_ext/contributions/**\"\n",
+    "# Set iceberg table\n",
+    "namespace = 'geo_sort'\n",
+    "tablename = 'contributions'\n",
+    "icebergtable = catalog.load_table((namespace, tablename))\n",
     "\n",
     "# Define location filter\n",
     "bboxes = {\n",
@@ -139,12 +180,11 @@
     "    'brazil': (-73.99, -33.77, -34.73, 5.24)\n",
     "}\n",
     "\n",
-    "selected_region = 'germany'\n",
+    "selected_region = 'kenya'\n",
     "xmin, ymin, xmax, ymax = bboxes[selected_region]\n",
     "\n",
     "# Define time range filter\n",
-    "start_timestamp = '2024-01-01'\n",
-    "end_timestamp = '2024-06-01'\n",
+    "start_timestamp = '2024-01-01T00:00:00'\n",
     "time_interval = 'day'"
    ]
   },
@@ -159,29 +199,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
-   "id": "cb1514a0-6c0b-4313-a777-ae204ee7ce91",
+   "execution_count": 78,
+   "id": "b951b95d-11a7-4d2b-a81f-3ab8e5339a1b",
    "metadata": {},
    "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f2e1851ba80f44b388711e63a96f87af",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "this took 328.781 sec.\n"
+      "download took 16.318 sec.\n"
      ]
     }
    ],
@@ -189,27 +215,22 @@
     "import time\n",
     "start_time = time.time()\n",
     "\n",
-    "query = f\"\"\"\n",
-    "DROP TABLE IF EXISTS user_contributions;\n",
-    "CREATE TABLE user_contributions AS\n",
-    "SELECT\n",
-    "    h3_r5,\n",
-    "    valid_from,\n",
-    "    user_id\n",
-    "FROM read_parquet('{parquet_data_path}', hive_partitioning=true) a \n",
-    "WHERE 1=1\n",
-    "    and (status = 'latest' or status = 'history')\n",
-    "    and valid_from >= '{start_timestamp}'\n",
-    "    and valid_from < '{end_timestamp}'\n",
-    "    -- spatial filtering part\n",
-    "    and (a.bbox.xmax >= {xmin} AND a.bbox.xmin <= {xmax})\n",
-    "    and (a.bbox.ymax >= {ymin} AND a.bbox.ymin <= {ymax})\n",
-    ";\n",
-    "\"\"\"\n",
-    "con.sql(query)\n",
+    "icebergtable.scan(\n",
+    "    row_filter=(\n",
+    "        f\"(status = 'latest' or status = 'history')\"\n",
+    "        f\"and (xmax >= {xmin} and xmin <= {xmax}) \"\n",
+    "        f\"and (ymax >= {ymin} and ymin <= {ymax}) \"\n",
+    "        f\"and valid_from >= '{start_timestamp}'\"\n",
+    "    ),\n",
+    "    selected_fields=(\n",
+    "        \"user_id\",\n",
+    "        \"valid_from\",\n",
+    "        \"h3_r5\"\n",
+    "    ),\n",
+    ").to_duckdb('raw_osm_data',connection=con)\n",
     "\n",
     "download_time = round(time.time() - start_time, 3)\n",
-    "print(f\"this took {download_time} sec.\")"
+    "print(f\"download took {download_time} sec.\")"
    ]
   },
   {
@@ -224,26 +245,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 79,
    "id": "7bde9b9b-b4bd-488e-8dc3-b0b5ccbdba79",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing took 0.166 sec.\n"
+     ]
+    }
+   ],
    "source": [
+    "start_time = time.time()\n",
+    "\n",
     "query = f\"\"\"\n",
     "INSTALL h3 FROM community;\n",
     "LOAD h3;\n",
     "\n",
     "SELECT\n",
     "    h3_r5,\n",
-    "    epoch_ms(date_trunc('{time_interval}', valid_from)) as time_interval,\n",
+    "    1.0 * epoch_ms(date_trunc('{time_interval}', valid_from)) as time_interval,\n",
     "    count(distinct user_id) as n_users,\n",
     "    h3_cell_to_boundary_wkt(h3_r5) as geometry\n",
-    "FROM user_contributions\n",
+    "FROM raw_osm_data\n",
     "GROUP BY 1, 2\n",
     "ORDER BY 2, 1;\n",
     "\"\"\"\n",
     "\n",
-    "df = con.sql(query).df()"
+    "df = con.sql(query).df()\n",
+    "\n",
+    "processing_time = round(time.time() - start_time, 3)\n",
+    "print(f\"processing took {processing_time} sec.\")"
    ]
   },
   {
@@ -257,7 +291,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 80,
    "id": "1d7426fa-44ab-461a-97f3-7f378cc15c6d",
    "metadata": {},
    "outputs": [],
@@ -282,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 81,
    "id": "9153d200-dbd6-45dd-ad91-1d6823b32d8a",
    "metadata": {},
    "outputs": [],
@@ -303,8 +337,8 @@
     "heights = gdf[\"height\"].to_numpy()\n",
     "heights = np.nan_to_num(heights, nan=1)\n",
     "\n",
-    "min_valid_from = 1000 * datetime.datetime(2024,1,1).timestamp()\n",
-    "max_valid_from = 1000 * datetime.datetime(2024,6,1).timestamp()\n",
+    "min_valid_from = 1000 * datetime.datetime(2023,1,1).replace(tzinfo=datetime.timezone.utc).timestamp()\n",
+    "max_valid_from = 1000 * datetime.datetime(2024,6,1).replace(tzinfo=datetime.timezone.utc).timestamp()\n",
     "\n",
     "# the lonboard map definition\n",
     "layer = lonboard.PolygonLayer.from_geopandas(\n",
@@ -341,17 +375,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 82,
    "id": "b6151959-5eb1-414f-a6d9-1b4d9dab41f3",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<traitlets.traitlets.directional_link at 0x742148909ac0>"
+       "<traitlets.traitlets.directional_link at 0x7da1d41f6720>"
       ]
      },
-     "execution_count": 152,
+     "execution_count": 82,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -365,11 +399,10 @@
     "end = datetime.datetime(2024,6,1)\n",
     "delta = end - start   # returns timedelta\n",
     "dates = [start + timedelta(days=i) for i in range(delta.days + 1)]\n",
-    "options = [(i.strftime('%d-%b-%Y'), int(1000* i.timestamp())) for i in dates]\n",
+    "options = [(i.strftime('%d-%b-%Y'), 1000* i.replace(tzinfo=datetime.timezone.utc).timestamp()) for i in dates]\n",
     "\n",
     "date_slider = ipywidgets.SelectionSlider(\n",
     "    options=options,\n",
-    "    #index=(0, len(dates)-1),\n",
     "    description='Day:',\n",
     "    layout=ipywidgets.Layout(width='1000px'),\n",
     "    disabled=False\n",
@@ -392,14 +425,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 153,
+   "execution_count": 83,
    "id": "d4a7fba3-f047-464e-9c2d-ba3ce2a89726",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2a9704153ea24afdbe496d217d3923fb",
+       "model_id": "f0abda2707564f008a48071ccd169db0",
        "version_major": 2,
        "version_minor": 1
       },
@@ -413,12 +446,12 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "99b8681c31c148c6b7d0f42d1e15f601",
+       "model_id": "9b62e0719de04a948fb41741e2e977a8",
        "version_major": 2,
        "version_minor": 0
       },
       "text/plain": [
-       "SelectionSlider(description='Day:', layout=Layout(width='1000px'), options=(('01-Jan-2024', 1704067200000), ('…"
+       "SelectionSlider(description='Day:', layout=Layout(width='1000px'), options=(('01-Jan-2024', 1704067200000.0), …"
       ]
      },
      "metadata": {},
diff --git a/book/04_highways_timeline_DuckDB_only.ipynb b/book/04_highways_timeline_DuckDB_only.ipynb
index 0ffec5a..c247fad 100644
--- a/book/04_highways_timeline_DuckDB_only.ipynb
+++ b/book/04_highways_timeline_DuckDB_only.ipynb
@@ -5,7 +5,7 @@
    "id": "4db2bafd-697e-4c56-a0aa-9aba263c72d6",
    "metadata": {},
    "source": [
-    "# DuckDB: Development of highways over time\n",
+    "# Road Network Evolution\n",
     "In this notebook we demonstrate how to analyze and visualize the development highways in OSM over time.\n",
     "\n",
     "These are the steps you see further down:\n",
@@ -22,13 +22,13 @@
    "id": "3d674481-bbd1-41e8-af30-06f55ddca03c",
    "metadata": {},
    "source": [
-    "# Getting started\n",
+    "## Getting started\n",
     "Set connection params."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "id": "c9e38420-73a3-45d6-a84a-fb5448b3dedc",
    "metadata": {},
    "outputs": [],
@@ -49,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "id": "86bcd8e2-9285-44f2-bd3c-948fe08c545f",
    "metadata": {},
    "outputs": [],
@@ -66,6 +66,46 @@
     "con.load_extension(\"spatial\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "6dca6f2a-15ff-45da-84e1-e033c4697a10",
+   "metadata": {},
+   "source": [
+    "Set the connection params to Iceberg Rest Catalog."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "89e176e1-f855-4c3d-bd7d-cfe37728b777",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip install \"pyiceberg[s3fs,duckdb,sql-sqlite,pyarrow]\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "705608ac-3b13-4f3b-b8cf-685afa1ddbd2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyiceberg.catalog.rest import RestCatalog\n",
+    "\n",
+    "catalog = RestCatalog(\n",
+    "    name=\"default\",\n",
+    "    **{\n",
+    "        \"uri\": \"https://sotm2024.iceberg.ohsome.org\",\n",
+    "        \"s3.endpoint\": \"https://sotm2024.minio.heigit.org\",\n",
+    "        \"py-io-impl\": \"pyiceberg.io.pyarrow.PyArrowFileIO\",\n",
+    "        \"s3.access-key-id\": s3_user,\n",
+    "        \"s3.secret-access-key\": s3_password,\n",
+    "        \"s3.region\": \"eu-central-1\"\n",
+    "    }\n",
+    ")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "1e729452-d070-4d4e-a59c-58cf7d9b54e0",
@@ -76,7 +116,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "id": "da021474-99e1-40b2-871f-0a817738e60f",
    "metadata": {},
    "outputs": [
@@ -120,14 +160,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 11,
    "id": "fdb4522d-9326-490d-b4fd-8999bda14553",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Set s3 path for parquet input data\n",
-    "#parquet_data_path = \"s3a://heigit-ohsome-sotm24/data/geo_sort_ext/contributions_germany/**\"\n",
-    "parquet_data_path = \"s3a://heigit-ohsome-sotm24/data/geo_sort_ext/contributions/**\"\n",
+    "# Set iceberg table\n",
+    "namespace = 'geo_sort'\n",
+    "tablename = 'contributions'\n",
+    "icebergtable = catalog.load_table((namespace, tablename))\n",
     "\n",
     "\n",
     "# Define location filter\n",
@@ -140,8 +181,7 @@
     "\n",
     "selected_region = 'nairobi'\n",
     "xmin, ymin, xmax, ymax = bboxes[selected_region]\n",
-    "#area_of_interest_file =f\"../data/{selected_region}.geojson\"\n",
-    "area_of_interest_file =f\"{selected_region}.geojson\"\n",
+    "area_of_interest_file = f\"s3a://heigit-ohsome-sotm24/data/sample_data/{selected_region}.geojson\"\n",
     "\n",
     "# Define geometry type filter\n",
     "geometry_type = 'LineString'\n",
@@ -156,19 +196,69 @@
    "id": "173104f5-0439-4259-97dd-82cc0ecbea5a",
    "metadata": {},
    "source": [
-    "## Get the Data"
+    "## Get the Data\n",
+    "Download historic and latest OSM data for bounding box."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 13,
+   "id": "95ce78e6-0b90-4449-8b12-d567005dc709",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "download took 21.174 sec.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import time\n",
+    "start_time = time.time()\n",
+    "\n",
+    "icebergtable.scan(\n",
+    "    row_filter=(\n",
+    "        f\"(status = 'latest' or status = 'history')\"\n",
+    "        f\"and geometry_type = '{geometry_type}' \"\n",
+    "        f\"and (xmax >= {xmin} and xmin <= {xmax}) \"\n",
+    "        f\"and (ymax >= {ymin} and ymin <= {ymax}) \"\n",
+    "    ),\n",
+    "    selected_fields=(\n",
+    "        \"user_id\",\n",
+    "        \"osm_id\",\n",
+    "        \"osm_version\",\n",
+    "        \"status\",\n",
+    "        \"valid_from\",\n",
+    "        \"valid_to\",\n",
+    "        \"tags\",\n",
+    "        \"geometry\",\n",
+    "    ),\n",
+    ").to_duckdb('raw_osm_data',connection=con)\n",
+    "\n",
+    "download_time = round(time.time() - start_time, 3)\n",
+    "print(f\"download took {download_time} sec.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6dbda76a-49e0-4bfb-8305-e30bdcbe4fd0",
+   "metadata": {},
+   "source": [
+    "Clip OSM highways with to area of interest and calculate road length in kilometer."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
    "id": "f6af5983-b350-4a8a-81b1-cdd27a327896",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f7d2f1a0fa4f444c9378bbe48a00f6c3",
+       "model_id": "eee160e4381b41c4a444f49265e5df15",
        "version_major": 2,
        "version_minor": 0
       },
@@ -183,7 +273,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "download took 169.913 sec.\n"
+      "processing took 65.732 sec.\n"
      ]
     }
    ],
@@ -205,23 +295,19 @@
     "    ST_Intersection(ST_GeomFromText(a.geometry), aoi.geom) as clipped_geometry,\n",
     "    ST_Length_Spheroid(clipped_geometry) / 1000 as length_km\n",
     "FROM\n",
-    "    read_parquet('{parquet_data_path}', hive_partitioning=true) as a,\n",
+    "    raw_osm_data as a,\n",
     "    st_read('{area_of_interest_file}') as aoi\n",
     "WHERE 1=1\n",
-    "    and (status = 'latest' or status = 'history')\n",
-    "    and geometry_type = '{geometry_type}'\n",
     "    and tags['highway'][1] is not null\n",
     "    -- spatial filtering part\n",
-    "    and (a.bbox.xmax >= {xmin} AND a.bbox.xmin <= {xmax})\n",
-    "    and (a.bbox.ymax >= {ymin} AND a.bbox.ymin <= {ymax})\n",
     "    and ST_Intersects(st_GeomFromText(a.geometry), aoi.geom)\n",
     ")\n",
     ";\n",
     "\"\"\"\n",
     "con.sql(query)\n",
     "\n",
-    "download_time = round(time.time() - start_time, 3)\n",
-    "print(f\"download took {download_time} sec.\")"
+    "processing_time = round(time.time() - start_time, 3)\n",
+    "print(f\"processing took {processing_time} sec.\")"
    ]
   },
   {
@@ -234,10 +320,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 20,
    "id": "24a1943a-9f21-434d-b682-2c18daa94345",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "7fa30607fa394f3497d1845da1d1e32f",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "query = f\"\"\"\n",
     "DROP TABLE IF EXISTS osm_stats;\n",
@@ -272,37 +373,608 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
-   "id": "4cd8b476-3440-43c3-b587-64c2548196fe",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "┌──────────────┐\n",
-      "│ count_star() │\n",
-      "│    int64     │\n",
-      "├──────────────┤\n",
-      "│      3109997 │\n",
-      "└──────────────┘\n",
-      "\n"
-     ]
-    }
-   ],
-   "source": [
-    "query = f\"\"\"\n",
-    "select count(*) from osm_stats;\n",
-    "\"\"\"\n",
-    "con.sql(query).show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 21,
    "id": "07dd3e0f-4002-4669-af00-7a300198c335",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "application/javascript": [
+       "(function(root) {\n",
+       "  function now() {\n",
+       "    return new Date();\n",
+       "  }\n",
+       "\n",
+       "  var force = true;\n",
+       "  var py_version = '3.4.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n",
+       "  var reloading = false;\n",
+       "  var Bokeh = root.Bokeh;\n",
+       "\n",
+       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
+       "    root._bokeh_timeout = Date.now() + 5000;\n",
+       "    root._bokeh_failed_load = false;\n",
+       "  }\n",
+       "\n",
+       "  function run_callbacks() {\n",
+       "    try {\n",
+       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
+       "        if (callback != null)\n",
+       "          callback();\n",
+       "      });\n",
+       "    } finally {\n",
+       "      delete root._bokeh_onload_callbacks;\n",
+       "    }\n",
+       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
+       "  }\n",
+       "\n",
+       "  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n",
+       "    if (css_urls == null) css_urls = [];\n",
+       "    if (js_urls == null) js_urls = [];\n",
+       "    if (js_modules == null) js_modules = [];\n",
+       "    if (js_exports == null) js_exports = {};\n",
+       "\n",
+       "    root._bokeh_onload_callbacks.push(callback);\n",
+       "\n",
+       "    if (root._bokeh_is_loading > 0) {\n",
+       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
+       "      run_callbacks();\n",
+       "      return null;\n",
+       "    }\n",
+       "    if (!reloading) {\n",
+       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+       "    }\n",
+       "\n",
+       "    function on_load() {\n",
+       "      root._bokeh_is_loading--;\n",
+       "      if (root._bokeh_is_loading === 0) {\n",
+       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
+       "        run_callbacks()\n",
+       "      }\n",
+       "    }\n",
+       "    window._bokeh_on_load = on_load\n",
+       "\n",
+       "    function on_error() {\n",
+       "      console.error(\"failed to load \" + url);\n",
+       "    }\n",
+       "\n",
+       "    var skip = [];\n",
+       "    if (window.requirejs) {\n",
+       "      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n",
+       "      root._bokeh_is_loading = css_urls.length + 0;\n",
+       "    } else {\n",
+       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
+       "    }\n",
+       "\n",
+       "    var existing_stylesheets = []\n",
+       "    var links = document.getElementsByTagName('link')\n",
+       "    for (var i = 0; i < links.length; i++) {\n",
+       "      var link = links[i]\n",
+       "      if (link.href != null) {\n",
+       "\texisting_stylesheets.push(link.href)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < css_urls.length; i++) {\n",
+       "      var url = css_urls[i];\n",
+       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
+       "\ton_load()\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      const element = document.createElement(\"link\");\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.rel = \"stylesheet\";\n",
+       "      element.type = \"text/css\";\n",
+       "      element.href = url;\n",
+       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
+       "      document.body.appendChild(element);\n",
+       "    }    var existing_scripts = []\n",
+       "    var scripts = document.getElementsByTagName('script')\n",
+       "    for (var i = 0; i < scripts.length; i++) {\n",
+       "      var script = scripts[i]\n",
+       "      if (script.src != null) {\n",
+       "\texisting_scripts.push(script.src)\n",
+       "      }\n",
+       "    }\n",
+       "    for (var i = 0; i < js_urls.length; i++) {\n",
+       "      var url = js_urls[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.src = url;\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (var i = 0; i < js_modules.length; i++) {\n",
+       "      var url = js_modules[i];\n",
+       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onload = on_load;\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.src = url;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    for (const name in js_exports) {\n",
+       "      var url = js_exports[name];\n",
+       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
+       "\tif (!window.requirejs) {\n",
+       "\t  on_load();\n",
+       "\t}\n",
+       "\tcontinue;\n",
+       "      }\n",
+       "      var element = document.createElement('script');\n",
+       "      element.onerror = on_error;\n",
+       "      element.async = false;\n",
+       "      element.type = \"module\";\n",
+       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+       "      element.textContent = `\n",
+       "      import ${name} from \"${url}\"\n",
+       "      window.${name} = ${name}\n",
+       "      window._bokeh_on_load()\n",
+       "      `\n",
+       "      document.head.appendChild(element);\n",
+       "    }\n",
+       "    if (!js_urls.length && !js_modules.length) {\n",
+       "      on_load()\n",
+       "    }\n",
+       "  };\n",
+       "\n",
+       "  function inject_raw_css(css) {\n",
+       "    const element = document.createElement(\"style\");\n",
+       "    element.appendChild(document.createTextNode(css));\n",
+       "    document.body.appendChild(element);\n",
+       "  }\n",
+       "\n",
+       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.3.min.js\", \"https://cdn.holoviz.org/panel/1.4.5/dist/panel.min.js\"];\n",
+       "  var js_modules = [];\n",
+       "  var js_exports = {};\n",
+       "  var css_urls = [];\n",
+       "  var inline_js = [    function(Bokeh) {\n",
+       "      Bokeh.set_log_level(\"info\");\n",
+       "    },\n",
+       "function(Bokeh) {} // ensure no trailing comma for IE\n",
+       "  ];\n",
+       "\n",
+       "  function run_inline_js() {\n",
+       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
+       "      for (var i = 0; i < inline_js.length; i++) {\n",
+       "\ttry {\n",
+       "          inline_js[i].call(root, root.Bokeh);\n",
+       "\t} catch(e) {\n",
+       "\t  if (!reloading) {\n",
+       "\t    throw e;\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "      // Cache old bokeh versions\n",
+       "      if (Bokeh != undefined && !reloading) {\n",
+       "\tvar NewBokeh = root.Bokeh;\n",
+       "\tif (Bokeh.versions === undefined) {\n",
+       "\t  Bokeh.versions = new Map();\n",
+       "\t}\n",
+       "\tif (NewBokeh.version !== Bokeh.version) {\n",
+       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
+       "\t}\n",
+       "\troot.Bokeh = Bokeh;\n",
+       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
+       "      setTimeout(run_inline_js, 100);\n",
+       "    } else if (!root._bokeh_failed_load) {\n",
+       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+       "      root._bokeh_failed_load = true;\n",
+       "    }\n",
+       "    root._bokeh_is_initializing = false\n",
+       "  }\n",
+       "\n",
+       "  function load_or_wait() {\n",
+       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
+       "    // versions of Bokeh and its dependencies at the same time.\n",
+       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
+       "    // to determine whether there is an ongoing attempt to initialize\n",
+       "    // bokeh, however for backward compatibility we also try to ensure\n",
+       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
+       "    // before older versions are fully initialized.\n",
+       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
+       "      root._bokeh_is_initializing = false;\n",
+       "      root._bokeh_onload_callbacks = undefined;\n",
+       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
+       "      load_or_wait();\n",
+       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
+       "      setTimeout(load_or_wait, 100);\n",
+       "    } else {\n",
+       "      root._bokeh_is_initializing = true\n",
+       "      root._bokeh_onload_callbacks = []\n",
+       "      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
+       "      if (!reloading && !bokeh_loaded) {\n",
+       "\troot.Bokeh = undefined;\n",
+       "      }\n",
+       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
+       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+       "\trun_inline_js();\n",
+       "      });\n",
+       "    }\n",
+       "  }\n",
+       "  // Give older versions of the autoload script a head-start to ensure\n",
+       "  // they initialize before we start loading newer version.\n",
+       "  setTimeout(load_or_wait, 100)\n",
+       "}(window));"
+      ],
+      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.4.3'.replace('rc', '-rc.').replace('.dev', '-dev.');\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks;\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {}, 'shim': {}});\n      root._bokeh_is_loading = css_urls.length + 0;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.4.3.min.js\", \"https://cdn.holoviz.org/panel/1.4.5/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n          inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t  if (!reloading) {\n\t    throw e;\n\t  }\n\t}\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/javascript": [
+       "\n",
+       "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n",
+       "  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n",
+       "}\n",
+       "\n",
+       "\n",
+       "    function JupyterCommManager() {\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        comm_manager.register_target(comm_id, function(comm) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        });\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        });\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n",
+       "          var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "          function processIteratorResult(result) {\n",
+       "            var message = result.value;\n",
+       "            console.log(message)\n",
+       "            var content = {data: message.data, comm_id};\n",
+       "            var buffers = []\n",
+       "            for (var buffer of message.buffers || []) {\n",
+       "              buffers.push(new DataView(buffer))\n",
+       "            }\n",
+       "            var metadata = message.metadata || {};\n",
+       "            var msg = {content, buffers, metadata}\n",
+       "            msg_handler(msg);\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "          return messages.next().then(processIteratorResult);\n",
+       "        })\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n",
+       "      if (comm_id in window.PyViz.comms) {\n",
+       "        return window.PyViz.comms[comm_id];\n",
+       "      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n",
+       "        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n",
+       "        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n",
+       "        if (msg_handler) {\n",
+       "          comm.on_msg(msg_handler);\n",
+       "        }\n",
+       "      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n",
+       "        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n",
+       "        comm.open();\n",
+       "        if (msg_handler) {\n",
+       "          comm.onMsg = msg_handler;\n",
+       "        }\n",
+       "      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n",
+       "        var comm_promise = google.colab.kernel.comms.open(comm_id)\n",
+       "        comm_promise.then((comm) => {\n",
+       "          window.PyViz.comms[comm_id] = comm;\n",
+       "          if (msg_handler) {\n",
+       "            var messages = comm.messages[Symbol.asyncIterator]();\n",
+       "            function processIteratorResult(result) {\n",
+       "              var message = result.value;\n",
+       "              var content = {data: message.data};\n",
+       "              var metadata = message.metadata || {comm_id};\n",
+       "              var msg = {content, metadata}\n",
+       "              msg_handler(msg);\n",
+       "              return messages.next().then(processIteratorResult);\n",
+       "            }\n",
+       "            return messages.next().then(processIteratorResult);\n",
+       "          }\n",
+       "        }) \n",
+       "        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n",
+       "          return comm_promise.then((comm) => {\n",
+       "            comm.send(data, metadata, buffers, disposeOnDone);\n",
+       "          });\n",
+       "        };\n",
+       "        var comm = {\n",
+       "          send: sendClosure\n",
+       "        };\n",
+       "      }\n",
+       "      window.PyViz.comms[comm_id] = comm;\n",
+       "      return comm;\n",
+       "    }\n",
+       "    window.PyViz.comm_manager = new JupyterCommManager();\n",
+       "    \n",
+       "\n",
+       "\n",
+       "var JS_MIME_TYPE = 'application/javascript';\n",
+       "var HTML_MIME_TYPE = 'text/html';\n",
+       "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n",
+       "var CLASS_NAME = 'output';\n",
+       "\n",
+       "/**\n",
+       " * Render data to the DOM node\n",
+       " */\n",
+       "function render(props, node) {\n",
+       "  var div = document.createElement(\"div\");\n",
+       "  var script = document.createElement(\"script\");\n",
+       "  node.appendChild(div);\n",
+       "  node.appendChild(script);\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when a new output is added\n",
+       " */\n",
+       "function handle_add_output(event, handle) {\n",
+       "  var output_area = handle.output_area;\n",
+       "  var output = handle.output;\n",
+       "  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+       "    return\n",
+       "  }\n",
+       "  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+       "  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+       "  if (id !== undefined) {\n",
+       "    var nchildren = toinsert.length;\n",
+       "    var html_node = toinsert[nchildren-1].children[0];\n",
+       "    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var scripts = [];\n",
+       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
+       "    for (var i in nodelist) {\n",
+       "      if (nodelist.hasOwnProperty(i)) {\n",
+       "        scripts.push(nodelist[i])\n",
+       "      }\n",
+       "    }\n",
+       "\n",
+       "    scripts.forEach( function (oldScript) {\n",
+       "      var newScript = document.createElement(\"script\");\n",
+       "      var attrs = [];\n",
+       "      var nodemap = oldScript.attributes;\n",
+       "      for (var j in nodemap) {\n",
+       "        if (nodemap.hasOwnProperty(j)) {\n",
+       "          attrs.push(nodemap[j])\n",
+       "        }\n",
+       "      }\n",
+       "      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n",
+       "      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n",
+       "      oldScript.parentNode.replaceChild(newScript, oldScript);\n",
+       "    });\n",
+       "    if (JS_MIME_TYPE in output.data) {\n",
+       "      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n",
+       "    }\n",
+       "    output_area._hv_plot_id = id;\n",
+       "    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+       "      window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+       "    } else {\n",
+       "      window.PyViz.plot_index[id] = null;\n",
+       "    }\n",
+       "  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+       "    var bk_div = document.createElement(\"div\");\n",
+       "    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+       "    var script_attrs = bk_div.children[0].attributes;\n",
+       "    for (var i = 0; i < script_attrs.length; i++) {\n",
+       "      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+       "    }\n",
+       "    // store reference to server id on output_area\n",
+       "    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle when an output is cleared or removed\n",
+       " */\n",
+       "function handle_clear_output(event, handle) {\n",
+       "  var id = handle.cell.output_area._hv_plot_id;\n",
+       "  var server_id = handle.cell.output_area._bokeh_server_id;\n",
+       "  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n",
+       "  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n",
+       "  if (server_id !== null) {\n",
+       "    comm.send({event_type: 'server_delete', 'id': server_id});\n",
+       "    return;\n",
+       "  } else if (comm !== null) {\n",
+       "    comm.send({event_type: 'delete', 'id': id});\n",
+       "  }\n",
+       "  delete PyViz.plot_index[id];\n",
+       "  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n",
+       "    var doc = window.Bokeh.index[id].model.document\n",
+       "    doc.clear();\n",
+       "    const i = window.Bokeh.documents.indexOf(doc);\n",
+       "    if (i > -1) {\n",
+       "      window.Bokeh.documents.splice(i, 1);\n",
+       "    }\n",
+       "  }\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle kernel restart event\n",
+       " */\n",
+       "function handle_kernel_cleanup(event, handle) {\n",
+       "  delete PyViz.comms[\"hv-extension-comm\"];\n",
+       "  window.PyViz.plot_index = {}\n",
+       "}\n",
+       "\n",
+       "/**\n",
+       " * Handle update_display_data messages\n",
+       " */\n",
+       "function handle_update_output(event, handle) {\n",
+       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
+       "  handle_add_output(event, handle)\n",
+       "}\n",
+       "\n",
+       "function register_renderer(events, OutputArea) {\n",
+       "  function append_mime(data, metadata, element) {\n",
+       "    // create a DOM node to render to\n",
+       "    var toinsert = this.create_output_subarea(\n",
+       "    metadata,\n",
+       "    CLASS_NAME,\n",
+       "    EXEC_MIME_TYPE\n",
+       "    );\n",
+       "    this.keyboard_manager.register_events(toinsert);\n",
+       "    // Render to node\n",
+       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+       "    render(props, toinsert[0]);\n",
+       "    element.append(toinsert);\n",
+       "    return toinsert\n",
+       "  }\n",
+       "\n",
+       "  events.on('output_added.OutputArea', handle_add_output);\n",
+       "  events.on('output_updated.OutputArea', handle_update_output);\n",
+       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
+       "  events.on('delete.Cell', handle_clear_output);\n",
+       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
+       "\n",
+       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+       "    safe: true,\n",
+       "    index: 0\n",
+       "  });\n",
+       "}\n",
+       "\n",
+       "if (window.Jupyter !== undefined) {\n",
+       "  try {\n",
+       "    var events = require('base/js/events');\n",
+       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+       "      register_renderer(events, OutputArea);\n",
+       "    }\n",
+       "  } catch(err) {\n",
+       "  }\n",
+       "}\n"
+      ],
+      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>*[data-root-id],\n",
+       "*[data-root-id] > * {\n",
+       "  box-sizing: border-box;\n",
+       "  font-family: var(--jp-ui-font-family);\n",
+       "  font-size: var(--jp-ui-font-size1);\n",
+       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
+       "}\n",
+       "\n",
+       "/* Override VSCode background color */\n",
+       ".cell-output-ipywidget-background:has(\n",
+       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
+       "  ),\n",
+       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
+       "  background-color: transparent !important;\n",
+       "}\n",
+       "</style>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.holoviews_exec.v0+json": "",
+      "text/html": [
+       "<div id='p1002'>\n",
+       "  <div id=\"c7674070-5b8a-40b1-8939-1123252be1ad\" data-root-id=\"p1002\" style=\"display: contents;\"></div>\n",
+       "</div>\n",
+       "<script type=\"application/javascript\">(function(root) {\n",
+       "  var docs_json = {\"e77d4e92-b4e4-4ab9-8f7b-5342b0d8aeaf\":{\"version\":\"3.4.3\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"p1002\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"p1003\",\"attributes\":{\"plot_id\":\"p1002\",\"comm_id\":\"cca1f82a809940a29834a04302e26654\",\"client_comm_id\":\"0d99c4f9bd084070bc15aa51a47d426f\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"e77d4e92-b4e4-4ab9-8f7b-5342b0d8aeaf\",\"roots\":{\"p1002\":\"c7674070-5b8a-40b1-8939-1123252be1ad\"},\"root_ids\":[\"p1002\"]}];\n",
+       "  var docs = Object.values(docs_json)\n",
+       "  if (!docs) {\n",
+       "    return\n",
+       "  }\n",
+       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
+       "  async function embed_document(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+       "    for (const render_item of render_items) {\n",
+       "      for (const root_id of render_item.root_ids) {\n",
+       "\tconst id_el = document.getElementById(root_id)\n",
+       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
+       "\t  const root_el = id_el.children[0]\n",
+       "\t  root_el.id = root_el.id + '-rendered'\n",
+       "\t  for (const child of root_el.children) {\n",
+       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
+       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
+       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
+       "\t  }\n",
+       "\t}\n",
+       "      }\n",
+       "    }\n",
+       "  }\n",
+       "  function get_bokeh(root) {\n",
+       "    if (root.Bokeh === undefined) {\n",
+       "      return null\n",
+       "    } else if (root.Bokeh.version !== py_version) {\n",
+       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
+       "\treturn null\n",
+       "      }\n",
+       "      return root.Bokeh.versions.get(py_version);\n",
+       "    } else if (root.Bokeh.version === py_version) {\n",
+       "      return root.Bokeh\n",
+       "    }\n",
+       "    return null\n",
+       "  }\n",
+       "  function is_loaded(root) {\n",
+       "    var Bokeh = get_bokeh(root)\n",
+       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
+       "  }\n",
+       "  if (is_loaded(root)) {\n",
+       "    embed_document(root);\n",
+       "  } else {\n",
+       "    var attempts = 0;\n",
+       "    var timer = setInterval(function(root) {\n",
+       "      if (is_loaded(root)) {\n",
+       "        clearInterval(timer);\n",
+       "        embed_document(root);\n",
+       "      } else if (document.readyState == \"complete\") {\n",
+       "        attempts++;\n",
+       "        if (attempts > 200) {\n",
+       "          clearInterval(timer);\n",
+       "\t  var Bokeh = get_bokeh(root)\n",
+       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
+       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
+       "\t  } else {\n",
+       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
+       "\t    embed_document(root)\n",
+       "\t  }\n",
+       "        }\n",
+       "      }\n",
+       "    }, 25, root)\n",
+       "  }\n",
+       "})(window);</script>"
+      ]
+     },
+     "metadata": {
+      "application/vnd.holoviews_exec.v0+json": {
+       "id": "p1002"
+      }
+     },
+     "output_type": "display_data"
+    },
     {
      "data": {},
      "metadata": {},
@@ -312,12 +984,12 @@
      "data": {
       "application/vnd.holoviews_exec.v0+json": "",
       "text/html": [
-       "<div id='p1081'>\n",
-       "  <div id=\"d06cf3a4-1f9c-4f8d-a33f-4184a5c2fad1\" data-root-id=\"p1081\" style=\"display: contents;\"></div>\n",
+       "<div id='p1004'>\n",
+       "  <div id=\"a98a18e2-ccb6-48eb-8732-83d2f90e59b4\" data-root-id=\"p1004\" style=\"display: contents;\"></div>\n",
        "</div>\n",
        "<script type=\"application/javascript\">(function(root) {\n",
-       "  var docs_json = {\"f50444de-bd83-42e7-a0f4-1caf2f213da0\":{\"version\":\"3.5.1\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"Row\",\"id\":\"p1081\",\"attributes\":{\"name\":\"Row01052\",\"tags\":[\"embedded\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 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400px));\\n}\",{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1007\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.5/dist/css/loading.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1075\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.5/dist/css/listpanel.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1005\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.5/dist/bundled/theme/default.css\"}},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"p1006\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.4.5/dist/bundled/theme/native.css\"}}],\"min_width\":700,\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1008\",\"attributes\":{\"name\":\"HSpacer00946\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 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%T}\"],[\"length_km\",\"@{length_km}\"]],\"formatters\":{\"type\":\"map\",\"entries\":[[\"@{month}\",\"datetime\"]]}}},{\"type\":\"object\",\"name\":\"SaveTool\",\"id\":\"p1050\"},{\"type\":\"object\",\"name\":\"PanTool\",\"id\":\"p1051\"},{\"type\":\"object\",\"name\":\"BoxZoomTool\",\"id\":\"p1052\",\"attributes\":{\"overlay\":{\"type\":\"object\",\"name\":\"BoxAnnotation\",\"id\":\"p1053\",\"attributes\":{\"syncable\":false,\"level\":\"overlay\",\"visible\":false,\"left\":{\"type\":\"number\",\"value\":\"nan\"},\"right\":{\"type\":\"number\",\"value\":\"nan\"},\"top\":{\"type\":\"number\",\"value\":\"nan\"},\"bottom\":{\"type\":\"number\",\"value\":\"nan\"},\"left_units\":\"canvas\",\"right_units\":\"canvas\",\"top_units\":\"canvas\",\"bottom_units\":\"canvas\",\"line_color\":\"black\",\"line_alpha\":1.0,\"line_width\":2,\"line_dash\":[4,4],\"fill_color\":\"lightgrey\",\"fill_alpha\":0.5}}}},{\"type\":\"object\",\"name\":\"ResetTool\",\"id\":\"p1058\"}],\"active_drag\":{\"id\":\"p1051\"},\"active_scroll\":{\"id\":\"p1014\"}}},\"left\":[{\"type\":\"object\",\"name\":\"LinearAxis\",\"id\":\"p1045\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"BasicTicker\",\"id\":\"p1046\",\"attributes\":{\"mantissas\":[1,2,5]}},\"formatter\":{\"type\":\"object\",\"name\":\"BasicTickFormatter\",\"id\":\"p1047\"},\"axis_label\":\"length_km\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1048\"}}}],\"below\":[{\"type\":\"object\",\"name\":\"DatetimeAxis\",\"id\":\"p1028\",\"attributes\":{\"ticker\":{\"type\":\"object\",\"name\":\"DatetimeTicker\",\"id\":\"p1029\",\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1030\",\"attributes\":{\"num_minor_ticks\":0,\"mantissas\":[1,2,5],\"max_interval\":500.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1031\",\"attributes\":{\"num_minor_ticks\":0,\"base\":60,\"mantissas\":[1,2,5,10,15,20,30],\"min_interval\":1000.0,\"max_interval\":1800000.0}},{\"type\":\"object\",\"name\":\"AdaptiveTicker\",\"id\":\"p1032\",\"attributes\":{\"num_minor_ticks\":0,\"base\":24,\"mantissas\":[1,2,4,6,8,12],\"min_interval\":3600000.0,\"max_interval\":43200000.0}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1033\",\"attributes\":{\"days\":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1034\",\"attributes\":{\"days\":[1,4,7,10,13,16,19,22,25,28]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1035\",\"attributes\":{\"days\":[1,8,15,22]}},{\"type\":\"object\",\"name\":\"DaysTicker\",\"id\":\"p1036\",\"attributes\":{\"days\":[1,15]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1037\",\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1038\",\"attributes\":{\"months\":[0,2,4,6,8,10]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1039\",\"attributes\":{\"months\":[0,4,8]}},{\"type\":\"object\",\"name\":\"MonthsTicker\",\"id\":\"p1040\",\"attributes\":{\"months\":[0,6]}},{\"type\":\"object\",\"name\":\"YearsTicker\",\"id\":\"p1041\"}]}},\"formatter\":{\"type\":\"object\",\"name\":\"DatetimeTickFormatter\",\"id\":\"p1042\"},\"axis_label\":\"month\",\"major_label_policy\":{\"type\":\"object\",\"name\":\"AllLabels\",\"id\":\"p1043\"}}}],\"center\":[{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1044\",\"attributes\":{\"axis\":{\"id\":\"p1028\"},\"grid_line_color\":null}},{\"type\":\"object\",\"name\":\"Grid\",\"id\":\"p1049\",\"attributes\":{\"dimension\":1,\"axis\":{\"id\":\"p1045\"},\"grid_line_color\":null}}],\"min_border_top\":10,\"min_border_bottom\":10,\"min_border_left\":10,\"min_border_right\":10,\"output_backend\":\"webgl\"}},{\"type\":\"object\",\"name\":\"Spacer\",\"id\":\"p1073\",\"attributes\":{\"name\":\"HSpacer00947\",\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"p1007\"},{\"id\":\"p1005\"},{\"id\":\"p1006\"}],\"margin\":0,\"sizing_mode\":\"stretch_width\",\"align\":\"start\"}}]}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]}]}};\n",
+       "  var render_items = [{\"docid\":\"91020774-16f0-46b4-9dbd-e5cc2c0e8213\",\"roots\":{\"p1004\":\"a98a18e2-ccb6-48eb-8732-83d2f90e59b4\"},\"root_ids\":[\"p1004\"]}];\n",
        "  var docs = Object.values(docs_json)\n",
        "  if (!docs) {\n",
        "    return\n",
@@ -389,7 +1061,7 @@
      },
      "metadata": {
       "application/vnd.holoviews_exec.v0+json": {
-       "id": "p1081"
+       "id": "p1004"
       }
      },
      "output_type": "display_data"
@@ -422,7 +1094,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 22,
    "id": "efab832a-569a-4bea-9422-0a50ac1afb49",
    "metadata": {},
    "outputs": [],
@@ -459,7 +1131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 24,
    "id": "ff149fef-9f16-47fb-8f5d-953ca5b4b53c",
    "metadata": {},
    "outputs": [],
@@ -471,8 +1143,6 @@
     "# compute lonboard color style for contious color map\n",
     "min_valid_from = float(gdf[\"valid_from\"].min())\n",
     "max_valid_to = float(gdf[\"valid_to\"].max())\n",
-    "middle_timestamp = float(min_valid_from + ((max_valid_from - min_valid_from) / 2))\n",
-    "\n",
     "default_snapshot = 1000 * datetime.datetime(2012,1,1).timestamp()\n",
     "\n",
     "# lonboard gpu filtering\n",
@@ -519,17 +1189,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 25,
    "id": "f53b828c-fbf2-4e7b-980a-a9799d621434",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<traitlets.traitlets.directional_link at 0x7f78dd8656d0>"
+       "<traitlets.traitlets.directional_link at 0x767dfa7088f0>"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -567,14 +1237,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 26,
    "id": "42ac6bb9-fd86-41a2-a84a-141802abeaf9",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0ed7381342a2428daf55b639fdb156db",
+       "model_id": "3b1b01f4a98a4cea8dc41f2e0bade84f",
        "version_major": 2,
        "version_minor": 1
       },
@@ -588,7 +1258,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "aaab49020a0544e084a78e525856fa8a",
+       "model_id": "cca8a59112c84ad49224edd995fc2f6c",
        "version_major": 2,
        "version_minor": 0
       },