diff --git a/QUIZ_leaderboard.ipynb b/QUIZ_leaderboard.ipynb
index 92459444cebef9fdaabe1a49ce8d15d578434105..176ae1d8b7e8e68603cd65640c38f727380c2666 100644
--- a/QUIZ_leaderboard.ipynb
+++ b/QUIZ_leaderboard.ipynb
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 15,
    "id": "e5396acf",
    "metadata": {},
    "outputs": [
@@ -18,183 +18,94 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "                      w1     w2     w3     w4     w5     w6     w7     w8     w9    \n",
-      "                       1 2 3  1 2 3  1 2 3  1 2 3  1 2 3  1 2 3  1 2 3  1 2 3  1 2 3\n",
-      "        NielsPeter 27  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓\n",
-      "          Caroline 26  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✗ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓\n",
-      "              Ingi 26  ✓ ✗ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓\n",
-      "      Ida Puggaard 25  ✓ ✓ ✓  ✓ ✓ ✗  ✓ ✓ ✓  ✓ ✓ ✓  ✗ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓\n",
-      "            J5gbqp 24  ✓ ✗ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✗  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✗\n",
-      "     HannahNielsen 23  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✗  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✗ ✗  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✗ ✓\n",
-      "AstridVesterbrandt 21  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✗  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✗ ✗  ✓ ✓ ✓  ✗ ✓ ✗  ✓ ✗ ✓\n",
-      "           Olczixo 19  ✓ ✗ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✗  ✓ ✓ ✓  ✓ ✗ ✗  ✗ ✗ ✗  ✗ ✓ ✓\n",
-      "           s184009 18  ✓ ✗ ✗  ✓ ✗ ✓  ✓ ✓ ✓  ✗ ✓ ✓  ✓ ✓ ✓  ✓ ✗ ✗  ✓ ✓ ✓  ✓ ✓ ✓  ✗ ✗ ✗\n",
-      "     ET_Phone_Home 16  ✓ ✓ ✓  ✗ ✓ ✓  ✓ ✓ ✓  ✗ ✗ ✓  ✓ ✓ ✓  - - -  - - -  ✓ ✓ ✓  ✓ ✗ ✗\n",
-      "               RSM 16  ✓ ✗ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✗ ✓ ✓  ✗ ✗ ✗  - - -  ✓ ✗ ✗  ✓ ✓ ✗  ✓ ✓ ✓\n",
-      "     JuliusKokholm 15  ✓ ✗ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✗ ✓ ✗  ✓ ✓ ✓  - - -  - - -  - - -\n",
-      "      HelenaJensen 15  ✓ ✓ ✗  ✓ ✗ ✓  ✓ ✗ ✗  ✗ ✓ ✓  ✗ ✓ ✓  ✗ ✓ ✗  ✓ ✓ ✓  ✓ ✓ ✗  - - -\n",
-      "         jsimonsen 14  ✓ ✓ ✓  - - -  - - -  ✓ ✓ ✓  ✓ ✓ ✓  ✗ ✓ ✓  - - -  - - -  ✓ ✓ ✓\n",
-      "            Delfin 14  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✗  ✓ ✓ ✓  ✗ ✗ ✗  ✓ ✓ ✓  - - -  - - -  ✗ ✗ ✗\n",
-      "          SeverinH 14  ✓ ✓ ✓  ✗ ✗ ✓  ✓ ✓ ✓  ✓ ✓ ✓  ✗ ✓ ✗  ✓ ✓ ✓  - - -  - - -  - - -\n",
-      "     askefandersen 13  ✓ ✗ ✓  ✓ ✓ ✓  ✗ ✓ ✗  ✓ ✗ ✓  ✗ ✗ ✗  ✗ ✓ ✓  ✓ ✓ ✓  ✗ ✗ ✗  ✗ ✗ ✗\n",
-      "        CassandraD 13  ✓ ✓ ✓  ✓ ✓ ✓  - - -  ✗ ✓ ✓  ✗ ✓ ✓  - - -  ✓ ✓ ✓  - - -  - - -\n",
-      "             Nojus 10  ✗ ✓ ✗  ✓ ✓ ✓  ✓ ✓ ✓  ✓ ✓ ✓  - - -  - - -  - - -  - - -  - - -\n",
-      "           Denitsa 10  ✓ ✗ ✗  ✓ ✓ ✗  ✓ ✓ ✗  ✗ ✓ ✓  ✗ ✗ ✓  ✗ ✗ ✗  ✓ ✗ ✗  - - -  ✗ ✓ ✗\n",
-      "     ViktorIsaksen  8  ✓ ✓ ✓  - - -  - - -  ✗ ✓ ✗  ✓ ✗ ✗  - - -  ✓ ✓ ✓  ✗ ✗ ✗  ✗ ✗ ✗\n",
-      "       chuan kuang  8  ✗ ✗ ✗  - - -  - - -  - - -  - - -  ✓ ✓ ✓  - - -  ✓ ✓ ✓  ✓ ✗ ✓\n",
-      "    Anonymous_Duck  8  ✓ ✗ ✓  ✓ ✓ ✓  ✗ ✗ ✗  - - -  ✓ ✓ ✓  - - -  - - -  - - -  - - -\n",
-      "            ngre98  7  ✗ ✓ ✓  ✓ ✓ ✓  ✓ ✗ ✓  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "               jkb  6  - - -  - - -  ✓ ✓ ✗  - - -  ✗ ✓ ✗  ✗ ✓ ✗  ✓ ✓ ✗  - - -  - - -\n",
-      "       RyanWasHere  5  ✓ ✗ ✗  - - -  - - -  - - -  - - -  - - -  - - -  ✓ ✓ ✗  ✓ ✗ ✓\n",
-      "       EmilRamovic  5  ✗ ✓ ✗  ✓ ✓ ✗  ✗ ✓ ✓  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "        Louis Kamp  5  ✓ ✓ ✓  ✓ ✗ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "              Rami  3  - - -  - - -  - - -  ✓ ✓ ✓  - - -  - - -  - - -  - - -  - - -\n",
-      "               mbk  3  ✓ ✓ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "             Gruny  3  ✓ ✓ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "            MihaiA  3  ✓ ✓ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "              Tols  3  ✓ ✓ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "   DavidOstenfeldt  2  ✓ ✗ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "      Peter Jensen  2  ✓ ✗ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "Morten Christensen  2  ✓ ✗ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "      ChristianOle  2  ✓ ✗ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "      VeloPlusPlus  2  ✓ ✗ ✓  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "        Watermelon  2  ✓ ✓ ✗  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "   HelloFromCanada  2  ✓ ✓ ✗  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      " Leonardo Rodovero  1  ✓ ✗ ✗  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "     SophusBarlebo  1  ✓ ✗ ✗  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "       oliverHagel  1  ✓ ✗ ✗  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "              Rose  0  ✗ ✗ ✗  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n",
-      "         Michalina  0  ✗ ✗ ✗  - - -  - - -  - - -  - - -  - - -  - - -  - - -  - - -\n"
+      "                w1     w2    \n",
+      "                 1 2 3  1 2 3\n",
+      " LeventeBuzga 6  ✓ ✓ ✓  ✓ ✓ ✓\n",
+      "     PaulineS 6  ✓ ✓ ✓  ✓ ✓ ✓\n",
+      "         Jojo 6  ✓ ✓ ✓  ✓ ✓ ✓\n",
+      "        David 5  ✓ ✓ ✓  ✓ ✗ ✓\n",
+      "      AndrewK 4  ✗ ✓ ✓  ✗ ✓ ✓\n",
+      "      Anonyms 3  ✓ ✗ ✗  ✓ ✗ ✓\n",
+      "Luca Saladino 3  ✓ ✓ ✓  - - -\n",
+      "        vince 3  ✓ ✓ ✗  ✗ ✗ ✓\n",
+      "           mp 3  ✓ ✓ ✓  - - -\n",
+      "       Rasmus 3  ✓ ✗ ✗  ✗ ✓ ✓\n",
+      "          pbn 3  ✓ ✓ ✗  ✗ ✓ ✗\n",
+      "      Mathias 3  ✓ ✓ ✓  - - -\n",
+      "  KnudMondrup 2  ✓ ✓ ✗  - - -\n",
+      "         Emil 2  ✓ ✓ ✗  - - -\n",
+      "       Anna_E 2  ✓ ✗ ✓  - - -\n",
+      "  SportySpice 2  ✓ ✓ ✗  ✗ ✗ ✗\n",
+      "        JensL 2  ✓ ✓ ✗  - - -\n",
+      "     johnslim 2  ✗ ✓ ✓  - - -\n",
+      "       snoopy 1  ✓ ✗ ✗  - - -\n",
+      "     Joakim_P 1  ✓ ✗ ✗  - - -\n",
+      "  JBorregaard 1  ✗ ✓ ✗  - - -\n",
+      "        Sofia 1  ✓ ✗ ✗  - - -\n",
+      "Thomas Hornum 1  ✗ ✓ ✗  - - -\n",
+      "        Ninna 1  ✗ ✗ ✓  - - -\n",
+      "     andreama 1  ✓ ✗ ✗  ✗ ✗ ✗\n",
+      " GenieVickery 1  ✓ ✗ ✗  - - -\n",
+      "        Jerry 1  ✓ ✗ ✗  - - -\n",
+      "   kathariner 1  ✗ ✗ ✓  - - -\n",
+      "          JWH 1  ✓ ✗ ✗  - - -\n",
+      "     100rocks 0  ✗ ✗ ✗  - - -\n"
      ]
     }
    ],
    "source": [
     "import quizzes_helper as qh\n",
-    "summary = qh.combine_weeks('_SUBMISSIONS/', week_list = [1, 2, 3, 4, 5, 6, 7, 8, 10])\n",
+    "summary = qh.combine_weeks('_SUBMISSIONS/', week_list = [1, 2])\n",
     "qh.print_leaderboard(summary)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "a0d98b67",
+   "cell_type": "markdown",
+   "id": "ddf7eb78",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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",
-      "text/plain": [
-       "<Figure size 1500x1000 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1500x1000 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
    "source": [
-    "qh.plot_overview(summary)"
+    "# At the end of the course - finding the lucky quiz participant"
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "ddf7eb78",
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "a0d98b67",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "# Finding the lucky quiz participant"
+    "# qh.plot_overview(summary)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 17,
    "id": "65872a3f",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "      display name  from  to\n",
-      "        NielsPeter     0  26\n",
-      "          Caroline    27  53\n",
-      "              Ingi    54  80\n",
-      "      Ida Puggaard    81 107\n",
-      "            J5gbqp   108 134\n",
-      "     HannahNielsen   135 161\n",
-      "AstridVesterbrandt   162 188\n",
-      "           Olczixo   189 215\n",
-      "           s184009   216 242\n",
-      "     ET_Phone_Home   243 263\n",
-      "               RSM   264 287\n",
-      "     JuliusKokholm   288 305\n",
-      "      HelenaJensen   306 329\n",
-      "         jsimonsen   330 344\n",
-      "            Delfin   345 365\n",
-      "          SeverinH   366 383\n",
-      "     askefandersen   384 410\n",
-      "        CassandraD   411 425\n",
-      "             Nojus   426 437\n",
-      "           Denitsa   438 461\n",
-      "     ViktorIsaksen   462 479\n",
-      "       chuan kuang   480 491\n",
-      "    Anonymous_Duck   492 503\n",
-      "            ngre98   504 512\n",
-      "               jkb   513 524\n",
-      "       RyanWasHere   525 533\n",
-      "       EmilRamovic   534 542\n",
-      "        Louis Kamp   543 548\n",
-      "              Rami   549 551\n",
-      "               mbk   552 554\n",
-      "             Gruny   555 557\n",
-      "            MihaiA   558 560\n",
-      "              Tols   561 563\n",
-      "   DavidOstenfeldt   564 566\n",
-      "      Peter Jensen   567 569\n",
-      "Morten Christensen   570 572\n",
-      "      ChristianOle   573 575\n",
-      "      VeloPlusPlus   576 578\n",
-      "        Watermelon   579 581\n",
-      "   HelloFromCanada   582 584\n",
-      " Leonardo Rodovero   585 587\n",
-      "     SophusBarlebo   588 590\n",
-      "       oliverHagel   591 593\n",
-      "              Rose   594 596\n",
-      "         Michalina   597 599\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "chance = summary[['display name']].copy()\n",
-    "chance[['from', 'to']] = 0\n",
-    "chance['to'] = summary.iloc[:, 2:].notna().sum(axis=1).cumsum()\n",
-    "chance['from'] = chance['to'].shift(1).fillna(0).astype(int) \n",
-    "chance['to'] = chance['to'] - 1\n",
-    "print(chance.to_string(index=False, header=True))"
+    "# chance = summary[['display name']].copy()\n",
+    "# chance[['from', 'to']] = 0\n",
+    "# chance['to'] = summary.iloc[:, 2:].notna().sum(axis=1).cumsum()\n",
+    "# chance['from'] = chance['to'].shift(1).fillna(0).astype(int) \n",
+    "# chance['to'] = chance['to'] - 1\n",
+    "# print(chance.to_string(index=False, header=True))"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "id": "4c14c648",
    "metadata": {},
    "outputs": [],
    "source": [
-    "import random\n",
-    "import time\n",
-    "random.seed(time.time())\n",
-    "i = random.randint(0, chance['to'][-1])\n",
-    "print(f'Random number is {i}')\n",
-    "winner = (chance['from']<= i) & (chance['to']>= i)\n",
-    "print(f'Lucky quiz participant is {chance[winner][\"display name\"].values[0]}')"
+    "# import random\n",
+    "# import time\n",
+    "# random.seed(time.time())\n",
+    "# i = random.randint(0, chance['to'][-1])\n",
+    "# print(f'Random number is {i}')\n",
+    "# winner = (chance['from']<= i) & (chance['to']>= i)\n",
+    "# print(f'Lucky quiz participant is {chance[winner][\"display name\"].values[0]}')"
    ]
   },
   {
@@ -208,7 +119,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -222,12 +133,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.9"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "864c54ae2c00d287136c49aec72343cc9457da9cff5129afc5c16bdd0f87f600"
-   }
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,