diff --git a/data-preparation.ipynb b/data-preparation.ipynb
index 70c6ced..c8c09e4 100644
--- a/data-preparation.ipynb
+++ b/data-preparation.ipynb
@@ -38,33 +38,22 @@
     "    x = x[x[\"systolic\"] > x[\"relaxation\"]]\n",
     "    \n",
     "    # Cholesterin\n",
-    "    x = x[abs(x[\"Cholesterol\"] - x[\"HDL\"] - x[\"LDL\"] - x[\"triglyceride\"] / 5) < 30]\n",
+    "    x = x[abs(x[\"Cholesterol\"] - x[\"HDL\"] - x[\"LDL\"] - x[\"triglyceride\"] / 5) < 1]\n",
     "    \n",
+    "    # Entfernt nach Fachgespräch mit Ärztin\n",
     "    # BMI > 16\n",
-    "    x = x[(x[\"weight(kg)\"] / ((x[\"height(cm)\"] / 100) ** 2)) >= 15]\n",
-    "    \n",
-    "    # Anderes -> 10-facher Normbereich\n",
-    "    x = x[x[\"AST\"] < 500] # 8 Werte\n",
-    "    x = x[x[\"ALT\"] < 500] # 4 Werte\n",
-    "    x = x[x[\"Gtp\"] < 660] # 26 Werte\n",
-    "    x = x[x[\"hemoglobin\"] < 180] # 0 Werte\n",
-    "    x = x[x[\"serum creatinine\"] < 12] # 0 Werte\n",
-    "    x = x[x[\"fasting blood sugar\"] < 1000] # 0 Werte\n",
+    "    # x = x[(x[\"weight(kg)\"] / ((x[\"height(cm)\"] / 100) ** 2)) >= 15]\n",
+    "    # # Anderes -> 10-facher Normbereich\n",
+    "    # x = x[x[\"AST\"] < 500] # 8 Werte\n",
+    "    # x = x[x[\"ALT\"] < 500] # 4 Werte\n",
+    "    # x = x[x[\"Gtp\"] < 660] # 26 Werte\n",
+    "    # x = x[x[\"hemoglobin\"] < 180] # 0 Werte\n",
+    "    # x = x[x[\"serum creatinine\"] < 12] # 0 Werte\n",
+    "    # x = x[x[\"fasting blood sugar\"] < 1000] # 0 Werte\n",
     "    \n",
     "    return x \n",
     "\n",
-    "print(len(clean_up(original)))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "19704c5b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "y = original[\"fasting blood sugar\"].sort_values()\n",
-    "y.tail(30)"
+    "print(33467-len(clean_up(original)))"
    ]
   }
  ],