diff --git a/HowBadIsMyBatch.ipynb b/HowBadIsMyBatch.ipynb
index e5cae328bb5..3a3f429ad6f 100644
--- a/HowBadIsMyBatch.ipynb
+++ b/HowBadIsMyBatch.ipynb
@@ -273,7 +273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "id": "41d4fa30",
    "metadata": {},
    "outputs": [],
@@ -340,15 +340,15 @@
     "    # FK-TODO: refactor\n",
     "    @staticmethod\n",
     "    def _fun2(row):\n",
+    "        unknown = 'Unknown Country'\n",
     "        if isinstance(row['SPLTTYPE'], str):\n",
     "            country = pycountry.countries.get(alpha_2 = row['SPLTTYPE'][:2])\n",
     "            if country is None:\n",
-    "                return 'NO-COUNTRY: ' + row['SPLTTYPE'][:2]\n",
+    "                return unknown\n",
     "            else:\n",
     "                return country.name\n",
     "        else:\n",
-    "            # FK-TODO: add missing InternationalLotAnalysisTests for this else branch\n",
-    "            return 'NO-COUNTRY: ' + str(row['SPLTTYPE'])\n"
+    "            return unknown\n"
    ]
   },
   {
@@ -798,11 +798,15 @@
     "            columns = ['DIED', 'L_THREAT', 'DISABLE', 'VAX_TYPE', 'VAX_MANU', 'VAX_LOT', 'VAX_DOSE_SERIES', 'SPLTTYPE'],\n",
     "            data = [  [1,      0,          0,         'COVID19',  'MODERNA',  '016M20A', '2',               'GBPFIZER INC2020486806'],\n",
     "                      [1,      0,          0,         'COVID19',  'MODERNA',  '030L20A', '1',               'FRMODERNATX, INC.MOD20224'],\n",
-    "                      [1,      1,          1,         'COVID19',  'MODERNA',  '030L20B', '1',               'FRMODERNATX, INC.MOD20224']],\n",
+    "                      [1,      1,          1,         'COVID19',  'MODERNA',  '030L20B', '1',               'FRMODERNATX, INC.MOD20224'],\n",
+    "                      [0,      0,          0,         'COVID19',  'MODERNA',  '030L20B', '1',               'dummy'],\n",
+    "                      [0,      0,          0,         'COVID19',  'MODERNA',  '030L20B', '1',               123]],\n",
     "            index = [\n",
     "                \"1048786\",\n",
     "                \"1048786\",\n",
-    "                \"4711\"])\n",
+    "                \"4711\",\n",
+    "                \"0815\",\n",
+    "                \"0816\"])\n",
     "        \n",
     "        # When\n",
     "        internationalLotTable = InternationalLotAnalysis.getInternationalLotTable(dataFrame)\n",
@@ -813,12 +817,13 @@
     "            self.createDataFrame(\n",
     "                columns = ['Total reports', 'Deaths', 'Disabilities', 'Life Threatening Illnesses', 'Severe reports (%)'],\n",
     "                data = [  [2,               2,        1,              1,                            (2 + 1 + 1) / 2 * 100],\n",
-    "                          [1,               1,        0,              0,                            (1 + 0 + 0) / 1 * 100]],\n",
+    "                          [1,               1,        0,              0,                            (1 + 0 + 0) / 1 * 100],\n",
+    "                          [2,               0,        0,              0,                            (0 + 0 + 0) / 2 * 100]],\n",
     "                index = pd.Index(\n",
     "                    [\n",
     "                        'France',\n",
-    "                        'United Kingdom'\n",
-    "                        \n",
+    "                        'United Kingdom',\n",
+    "                        'Unknown Country'\n",
     "                    ],\n",
     "                    name = 'Country')))\n",
     "\n",