diff --git a/analysis/total diseases analysis.ipynb b/analysis/total diseases analysis.ipynb
index 8bf7dcd881580b315574d850933c5f2147db57e8..5ecfdbcf29ab21824b53d82c6b3e097576576c35 100644
--- a/analysis/total diseases analysis.ipynb	
+++ b/analysis/total diseases analysis.ipynb	
@@ -288,7 +288,7 @@
     "df = pd.DataFrame(columns=[\"ID\", \"Drugs\", \"Dc_mean\", \"Dc_std\"])\n",
     "\n",
     "# empty file in which I will add the results\n",
-    "with open(\"Rand_closest_distance_rand.csv\", 'w', newline='') as file:\n",
+    "with open(\"Closest_distance_rand.csv\", 'w', newline='') as file:\n",
     "    writer = csv.writer(file)\n",
     "    writer.writerow([\"ID\", \"Drugs\", \"Dc_mean\", \"Dc_std\"])\n",
     "\n",
@@ -305,7 +305,7 @@
     "    for _, row in proximity_rand.iterrows():\n",
     "        results.append({\"ID\": dis, \"Drugs\": row[\"Drugs\"], \"Dc_mean\": row[\"dc_mean\"], \"Dc_std\": row[\"dc_std\"]})\n",
     "    \n",
-    "    with open(\"Rand_closest_distance_rand.csv\", 'a', newline='') as file:\n",
+    "    with open(\"Closest_distance_rand.csv\", 'a', newline='') as file:\n",
     "        writer = csv.writer(file)\n",
     "        for result in results:\n",
     "            writer.writerow([result[\"ID\"], result[\"Drugs\"], result[\"Dc_mean\"], result[\"Dc_std\"]])\n"
@@ -318,7 +318,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "rand_prox = pd.read_csv(\"Rand_closest_distance_rand.csv\", sep = \",\")"
+    "rand_prox = pd.read_csv(\"Closest_distance_rand.csv\", sep = \",\")"
    ]
   },
   {