diff --git a/cleaning_extracting_data_for_2015-2019.ipynb b/cleaning_extracting_data_for_2015-2019.ipynb
index 23b0cf7..74801d6 100644
--- a/cleaning_extracting_data_for_2015-2019.ipynb
+++ b/cleaning_extracting_data_for_2015-2019.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -27,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -89,7 +89,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -101,7 +101,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -111,7 +111,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -182,7 +182,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -359,20 +359,7 @@
       "278  TEHAMA      DALE 2028-07-09 2018-07-09   856            0           0   \n",
       "\n",
       "     Deaths_FF  Deaths_Civil  Duration  \n",
-      "278          0             0   -3652.0  \n",
-      "       County Fire Name      Start  Contained  Acres  Strux_Destr  Strux_Dmgd  \\\n",
-      "26       MONO  VAN DYKE 2015-02-06 2015-02-10    509            0           0   \n",
-      "0        INYO     ROUND 2015-02-06 2015-02-13  7,000           43           5   \n",
-      "1   RIVERSIDE   HIGHWAY 2015-04-18 2015-04-24  1,049            0           0   \n",
-      "27  SAN DIEGO      CARL 2015-04-28 2015-04-29  4,000            0           0   \n",
-      "28  SAN DIEGO    MORTAR 2015-04-28 2015-04-29    800            0           0   \n",
-      "\n",
-      "    Deaths_FF  Deaths_Civil  Duration  \n",
-      "26          0             0       5.0  \n",
-      "0           0             0       8.0  \n",
-      "1           0             0       7.0  \n",
-      "27          0             0       2.0  \n",
-      "28          0             0       2.0  \n"
+      "278          0             0   -3652.0  \n"
      ]
     }
    ],
@@ -397,16 +384,55 @@
     "        print(\"No rows found where 'Start' is after 'Cont.'\")\n",
     "\n",
     "# Update 'Start' to be equal to 'Cont.' where 'Start' is after 'Cont.' as in it seems like simplie mistype in the year\n",
-    "fires_2015_2019_filtered.loc[fires_2015_2019_filtered['Start'] > fires_2015_2019_filtered['Contained'], 'Start'] = fires_2015_2019_filtered['Contained']\n",
-    "\n",
+    "fires_2015_2019_filtered.loc[fires_2015_2019_filtered['Start'] > fires_2015_2019_filtered['Contained'], 'Start'] = fires_2015_2019_filtered['Contained']\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "No errors were found in fire duration count.\n",
+      "       County Fire Name      Start  Contained  Acres  Strux_Destr  Strux_Dmgd  \\\n",
+      "26       MONO  VAN DYKE 2015-02-06 2015-02-10    509            0           0   \n",
+      "0        INYO     ROUND 2015-02-06 2015-02-13  7,000           43           5   \n",
+      "1   RIVERSIDE   HIGHWAY 2015-04-18 2015-04-24  1,049            0           0   \n",
+      "27  SAN DIEGO      CARL 2015-04-28 2015-04-29  4,000            0           0   \n",
+      "28  SAN DIEGO    MORTAR 2015-04-28 2015-04-29    800            0           0   \n",
+      "\n",
+      "    Deaths_FF  Deaths_Civil Duration  \n",
+      "26          0             0   4 days  \n",
+      "0           0             0   7 days  \n",
+      "1           0             0   6 days  \n",
+      "27          0             0   1 days  \n",
+      "28          0             0   1 days  \n"
+     ]
+    }
+   ],
+   "source": [
     "# Assign the cleaned data to a new variable\n",
     "fires_2015_2019_cleaned = fires_2015_2019_filtered\n",
     "\n",
+    "# based on incorred 'Start\" date corrected the calculation of duration of the fire\n",
+    "fires_2015_2019_cleaned['Duration'] = fires_2015_2019_cleaned['Contained'] - fires_2015_2019_cleaned['Start']\n",
+    "\n",
+    "# Display the rows where 'Duration' is negative\n",
+    "negative_duration = fires_2015_2019_cleaned[fires_2015_2019_cleaned['Duration'] < pd.Timedelta(0)]\n",
+    "if not negative_duration.empty:\n",
+    "    print(\"Duration is incorrect:\")\n",
+    "    print(negative_duration)\n",
+    "else:\n",
+    "        print(\"No errors were found in fire duration count.\")\n",
+    "\n",
     "# Save a cleaned data to \"Outputs\" folder\n",
     "fires_2015_2019_cleaned.to_csv('Outputs/fires_2015_2019_cleaned.csv', index=False)\n",
     "\n",
     "# Optionally, print the cleaned data to check\n",
-    "print(fires_2015_2019_cleaned.head())\n"
+    "print(fires_2015_2019_cleaned.head())"
    ]
   }
  ],