diff --git a/src/intensivstationen/Intensivstationen.ipynb b/src/intensivstationen/Intensivstationen.ipynb
index 669efdf259d..4855e673976 100644
--- a/src/intensivstationen/Intensivstationen.ipynb
+++ b/src/intensivstationen/Intensivstationen.ipynb
@@ -14,6 +14,27 @@
     "pd.set_option('display.max_columns', None)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f179762b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def readTimeseries():\n",
+    "    timeseries = pd.read_csv(\n",
+    "        'zeitreihe-tagesdaten.csv',\n",
+    "        low_memory = False,\n",
+    "        usecols = ['date', 'bundesland', 'gemeindeschluessel', 'betten_belegt', 'betten_frei'],\n",
+    "        parse_dates = ['date'],\n",
+    "        date_parser = lambda dateStr: pd.to_datetime(dateStr, format = \"%Y-%m-%d\"),\n",
+    "        dtype = {\n",
+    "            'gemeindeschluessel': 'string',\n",
+    "            'bundesland': 'string'\n",
+    "            })\n",
+    "    return timeseries.sort_values(by = 'date', ascending = True)\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -21,48 +42,15 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "kreise = pd.read_excel(\n",
-    "    '04-kreise.xlsx',\n",
-    "    sheet_name = 'Kreisfreie Städte u. Landkreise',\n",
-    "    header = 5,\n",
-    "    index_col = 0)\n",
-    "kreise = kreise.rename(columns = {'2': 'Bundesland', 3: 'Kreis', 6: 'Einwohnerzahl'})[['Bundesland', 'Kreis', 'Einwohnerzahl']]\n",
-    "kreise.index.set_names(\"Key\", inplace = True)\n",
-    "kreise"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c1dea262",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "class TimeseriesReader:\n",
-    "    \n",
-    "    def readTimeseries(self):\n",
-    "        timeseries = pd.read_csv(\n",
-    "            'zeitreihe-tagesdaten.csv',\n",
-    "            low_memory = False,\n",
-    "            usecols = ['date', 'bundesland', 'gemeindeschluessel', 'betten_belegt', 'betten_frei'],\n",
-    "            parse_dates = ['date'],\n",
-    "            date_parser = lambda dateStr: pd.to_datetime(dateStr, format = \"%Y-%m-%d\"),\n",
-    "            dtype = {\n",
-    "                'gemeindeschluessel': 'string',\n",
-    "                'bundesland': 'string'\n",
-    "                })\n",
-    "        return timeseries.sort_values(by = 'date', ascending = True)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d978b069",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "timeSeries = TimeseriesReader().readTimeseries()\n",
-    "timeSeries"
+    "def readKreise():\n",
+    "    kreise = pd.read_excel(\n",
+    "        '04-kreise.xlsx',\n",
+    "        sheet_name = 'Kreisfreie Städte u. Landkreise',\n",
+    "        header = 5,\n",
+    "        index_col = 0)\n",
+    "    kreise = kreise.rename(columns = {'2': 'Bundesland', 3: 'Kreis', 6: 'Einwohnerzahl'})[['Bundesland', 'Kreis', 'Einwohnerzahl']]\n",
+    "    kreise.index.set_names(\"Key\", inplace = True)\n",
+    "    return kreise"
    ]
   },
   {
@@ -102,7 +90,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "timeSeries = ColumnsAdder(kreise).addKreisAndBundeslandAndEinwohnerzahlColumns(timeSeries)\n",
+    "timeSeries = ColumnsAdder(readKreise()).addKreisAndBundeslandAndEinwohnerzahlColumns(readTimeseries())\n",
     "timeSeries"
    ]
   },