diff --git a/compareDBs.ipynb b/compareDBs.ipynb
index ae4e834..4d714f9 100644
--- a/compareDBs.ipynb
+++ b/compareDBs.ipynb
@@ -47,12 +47,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 65,
    "id": "ab6c6c81-6ac1-4668-a79b-a9a0341fb35a",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import configparser\n",
     "import time\n",
@@ -61,6 +72,8 @@
     "\n",
     "import duckdb\n",
     "import influxdb_client\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
     "import pandas as pd\n",
     "\n",
     "# import pymongo\n",
@@ -449,12 +462,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "id": "8faa5683-a204-461d-80c3-67644aa714ce",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 1.15 s, sys: 216 ms, total: 1.36 s\n",
+      "Wall time: 5.24 s\n"
+     ]
+    }
+   ],
    "source": [
     "%%time\n",
     "dfCh = cHouseQueryDf(dbname)"
@@ -1049,10 +1071,51 @@
     "q.close()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7baf1fd1-2afd-41b5-a579-33f053e4ddfc",
+   "metadata": {},
+   "source": [
+    "## Graph\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "a9740731-6077-4bf1-bb65-b4c4225ac79b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x = np.arange(1)\n",
+    "width = 0.40\n",
+    "y1 = [cHouse_read_execution_time]\n",
+    "y2 = [cHouse_write_execution_time]\n",
+    "plt.bar(x - 0.2, y1, width)\n",
+    "plt.bar(x + 0.2, y2, width)\n",
+    "plt.xticks(x, [\"Click House\"])\n",
+    "plt.xlabel(\"Databases\")\n",
+    "plt.ylabel(\"Seconds\")\n",
+    "plt.legend([\"Read\", \"Write\"])  # ver\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "adf9720e-0692-462e-aa99-8b91b454b741",
+   "id": "cac1c82a-bcab-47b1-b302-77d1341e5304",
    "metadata": {},
    "outputs": [],
    "source": []