diff --git a/docs/static/results_overview.png b/docs/static/results_overview.png
index c03377e..ee781cf 100644
Binary files a/docs/static/results_overview.png and b/docs/static/results_overview.png differ
diff --git a/notebooks/Data Vizualization.ipynb b/notebooks/Data Vizualization.ipynb
index 530710b..c07c6dc 100644
--- a/notebooks/Data Vizualization.ipynb	
+++ b/notebooks/Data Vizualization.ipynb	
@@ -127,8 +127,8 @@
    "source": [
     "def clean_ooms(dct):\n",
     "    for k in dct:\n",
-    "        if dct[k][\"total_time\"] == -1:\n",
-    "            dct[k][\"total_time\"] = 0\n",
+    "        if dct[k] == -1:\n",
+    "            dct[k] = 0\n",
     "\n",
     "clean_ooms(results_tiny)\n",
     "clean_ooms(results_small)\n",
@@ -143,7 +143,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1200x1200 with 3 Axes>"
       ]
@@ -159,28 +159,28 @@
     "\n",
     "y_pos = list(range(len(results_tiny)))\n",
     "ax[0].set_title(\"17M of rows\")\n",
-    "ax[0].barh(y_pos, [v[\"total_time\"] for _, v in results_tiny.items()], align=\"center\")\n",
+    "ax[0].barh(y_pos, [v for _, v in results_tiny.items()], align=\"center\")\n",
     "ax[0].set_yticks(y_pos, results_tiny.keys())\n",
     "for i, kk in enumerate(results_medium):\n",
-    "    if results_tiny[kk][\"total_time\"] == 0:\n",
+    "    if results_tiny[kk] == 0:\n",
     "        # Inspired by https://stackoverflow.com/a/30229062\n",
     "        ax[0].text(100, i, \"Memory error or no space left on device\", color=\"red\", verticalalignment=\"center\")\n",
     "\n",
     "y_pos = list(range(len(results_small)))\n",
     "ax[1].set_title(\"170M of rows\")\n",
-    "ax[1].barh(y_pos, [v[\"total_time\"] for _, v in results_small.items()], align=\"center\")\n",
+    "ax[1].barh(y_pos, [v for _, v in results_small.items()], align=\"center\")\n",
     "ax[1].set_yticks(y_pos, results_small.keys())\n",
     "for i, kk in enumerate(results_medium):\n",
-    "    if results_small[kk][\"total_time\"] == 0:\n",
+    "    if results_small[kk] == 0:\n",
     "        # Inspired by https://stackoverflow.com/a/30229062\n",
     "        ax[1].text(100, i, \"Memory error or no space left on device\", color=\"red\", verticalalignment=\"center\")\n",
     "\n",
     "y_pos = list(range(len(results_medium)))\n",
     "ax[2].set_title(\"1.7B of rows\")\n",
-    "ax[2].barh(y_pos, [v[\"total_time\"] for _, v in results_medium.items()], align=\"center\")\n",
+    "ax[2].barh(y_pos, [v for _, v in results_medium.items()], align=\"center\")\n",
     "ax[2].set_yticks(y_pos, results_medium.keys())\n",
     "for i, kk in enumerate(results_medium):\n",
-    "    if results_medium[kk][\"total_time\"] == 0:\n",
+    "    if results_medium[kk] == 0:\n",
     "        # Inspired by https://stackoverflow.com/a/30229062\n",
     "        ax[2].text(100, i, \"Memory error or no space left on device\", color=\"red\", verticalalignment=\"center\")\n",
     "\n",