diff --git a/compareDBs.ipynb b/compareDBs.ipynb
index 494fa83..704b1e5 100644
--- a/compareDBs.ipynb
+++ b/compareDBs.ipynb
@@ -7,16 +7,15 @@
     "tags": []
    },
    "source": [
-    "## Benchmark: ClickHouse Vs. InfluxDB Vs. Postgresql Vs. Parquet \n",
+    "## Benchmark Fastest Timeseries alternatives: ClickHouse Vs. InfluxDB Vs. Postgresql Vs. Parquet  Vs. MongoDB Vs. DuckDB Vs Kdb+\n",
     "\n",
     "-----\n",
-    "\n",
     "#### How to use:\n",
     "* Rename the file \"properties-model.ini\" to \"properties.ini\"\n",
     "* Fill with your own credentials\n",
     "----\n",
     "\n",
-    "The proposal of this work is to compare the speed in read/writing a midle level of data ( a dataset with 9 columns and 50.000 lines) to four diferent databases:\n",
+    "The proposal of this work is to compare the speed in read/writing a midle level of data ( a dataset with 9 columns and 1.000.000 lines) to four diferent databases:\n",
     "\n",
     "* [ClickHouse](#ClickHouse)\n",
     "* [InfluxDB](#InfluxDB)\n",
@@ -25,7 +24,13 @@
     "* [MongoDB](#MongoDB)\n",
     "* [DuckDB](#DuckDB)\n",
     "* [Kdb+](#Kdb+)\n",
-    "\n"
+    "\n",
+    "Jump to:\n",
+    "\n",
+    "* [Table with Results](#Table)\n",
+    "* [Graph with Read/Write result](#Graph)\n",
+    "* [Graph with the best results](#Graph-(bests))\n",
+    "* [Size Ocuppied on Disk](#Size)\n"
    ]
   },
   {
@@ -2198,7 +2203,9 @@
   {
    "cell_type": "markdown",
    "id": "7baf1fd1-2afd-41b5-a579-33f053e4ddfc",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "source": [
     "## Graph\n"
    ]
@@ -2275,9 +2282,11 @@
   {
    "cell_type": "markdown",
    "id": "aeda3a71-f57d-419d-98b4-b711ea2e61af",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "source": [
-    "## Graph (bests)"
+    "## Graph-(bests)"
    ]
   },
   {
@@ -2340,6 +2349,14 @@
     "plot(dark=True)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "bcfa53b5-137b-4c26-91f2-740cc2e93df8",
+   "metadata": {},
+   "source": [
+    "## Size"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 225,