diff --git a/Aigrind/Analisys.ipynb b/Aigrind/Analisys.ipynb
index 3937fac..84ea999 100644
--- a/Aigrind/Analisys.ipynb
+++ b/Aigrind/Analisys.ipynb
@@ -778,14 +778,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 29,
    "id": "e950eeaf",
    "metadata": {},
    "outputs": [],
    "source": [
     "T_df = pd.DataFrame(T, columns=[\"Media Source\", 'Campaign type', 'Target', \"Time, (months)\"])\n",
     "T_df = T_df.set_index([\"Media Source\", 'Campaign type', 'Target'])\n",
-    "T_df.to_csv('tables/payback-period.csv')"
+    "T_df.to_csv('tables/payback-period.csv')\n",
+    "T_df.to_markdown('tables/payback-period.md')"
    ]
   },
   {
@@ -837,13 +838,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 30,
    "id": "9dfee9c7",
    "metadata": {},
    "outputs": [],
    "source": [
     "T_sorted_df = T_df.sort_values(by='Time, (months)')\n",
-    "T_sorted_df.to_csv('tables/payback-period.sorted.csv')"
+    "T_sorted_df.to_csv('tables/payback-period.sorted.csv')\n",
+    "T_sorted_df.to_markdown('tables/payback-period.sorted.md')"
    ]
   },
   {
@@ -1197,7 +1199,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 31,
    "id": "f2c30d3d",
    "metadata": {},
    "outputs": [],
@@ -1206,7 +1208,8 @@
     "# df_ARPU\n",
     "df_ARPU['days'] = list(map(lambda x: f\"{x} days\" if x > 1 else f\"{x} day\", dates))\n",
     "df_ARPU_melted = df_ARPU.melt('days', var_name='Campaign type', value_name='ARPU')\n",
-    "df_ARPU.iloc[[6, 13, 29]].to_csv('tables/arpu.csv')"
+    "df_ARPU.iloc[[6, 13, 29]].to_csv('tables/arpu.csv')\n",
+    "df_ARPU.iloc[[6, 13, 29]].to_markdown('tables/arpu.md')"
    ]
   },
   {
@@ -1297,7 +1300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 32,
    "id": "b7a20a84",
    "metadata": {},
    "outputs": [],
@@ -1305,7 +1308,8 @@
     "df = pd.DataFrame(CPI, columns=[\"Media Source\", 'Campaign type', 'Target', \"CPI\"])\n",
     "df = df.set_index([\"Media Source\", 'Campaign type', 'Target'])\n",
     "df = df.sort_values(by='CPI')\n",
-    "df.to_csv('tables/cpi.sorted.csv')"
+    "df.to_csv('tables/cpi.sorted.csv')\n",
+    "df.to_markdown('tables/cpi.sorted.md')"
    ]
   },
   {