diff --git a/module3/exo3/Correction.ipynb b/module3/exo3/Correction.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..9498488938cf57c0d5e558617c67045ad6a4fc66
--- /dev/null
+++ b/module3/exo3/Correction.ipynb
@@ -0,0 +1,237 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    " %matplotlib inline\n",
+    "import os\n",
+    "from datetime import datetime\n",
+    "import requests\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "from scipy import stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>date</th>\n",
+       "      <th>concentration</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1958-03-29</td>\n",
+       "      <td>316.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1958-04-05</td>\n",
+       "      <td>317.31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1958-04-12</td>\n",
+       "      <td>317.69</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1958-04-19</td>\n",
+       "      <td>317.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1958-04-26</td>\n",
+       "      <td>316.48</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        date  concentration\n",
+       "0 1958-03-29         316.19\n",
+       "1 1958-04-05         317.31\n",
+       "2 1958-04-12         317.69\n",
+       "3 1958-04-19         317.58\n",
+       "4 1958-04-26         316.48"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = pd.read_csv('weekly_in_situ_co2_mlo.csv', skiprows=44, names=['date', 'concentration'])\n",
+    "data['date'] = data['date'].apply(lambda x: datetime.strptime(x, '%Y-%m-%d'))\n",
+    "data = data.sort_values(by=['date'])\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>year</th>\n",
+       "      <th>concentration</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1958-01-01</td>\n",
+       "      <td>315.474000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1959-01-01</td>\n",
+       "      <td>315.945417</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1960-01-01</td>\n",
+       "      <td>316.898868</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1961-01-01</td>\n",
+       "      <td>317.634038</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1962-01-01</td>\n",
+       "      <td>318.597708</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        year  concentration\n",
+       "0 1958-01-01     315.474000\n",
+       "1 1959-01-01     315.945417\n",
+       "2 1960-01-01     316.898868\n",
+       "3 1961-01-01     317.634038\n",
+       "4 1962-01-01     318.597708"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_year = []\n",
+    "\n",
+    "for year in range(data['date'].iloc[0].year, data['date'].iloc[-1].year + 1):\n",
+    "    data_year.append([datetime(year, 1, 1), data[data['date'].dt.year == year]['concentration'].mean()])\n",
+    "    \n",
+    "data_year = pd.DataFrame(data_year, columns=['year', 'concentration'])\n",
+    "data_year.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(16,10))\n",
+    "plt.plot(data['date'], data['concentration'])\n",
+    "plt.plot(data_year['year'], data_year['concentration'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/module3/exo3/weekly_in_situ_co2_mlo.csv b/module3/exo3/weekly_in_situ_co2_mlo.csv
new file mode 100644
index 0000000000000000000000000000000000000000..8c25ae2c0e8769c42d90aca3ab055fc1a887f89a
--- /dev/null
+++ b/module3/exo3/weekly_in_situ_co2_mlo.csv
@@ -0,0 +1,3343 @@
+"-------------------------------------------------------------------------------------------"
+" Atmospheric CO2 concentrations (ppm) derived from in situ air measurements                "
+" at Mauna Loa, Observatory, Hawaii: Latitude 19.5°N Longitude 155.6°W Elevation 3397m      "
+"                                                                                           "
+" Source: R. F. Keeling, S. J. Walker, S. C. Piper and A. F. Bollenbacher                   "
+" Scripps CO2 Program ( http://scrippsco2.ucsd.edu )                                        "
+" Scripps Institution of Oceanography (SIO)                                                 "
+" University of California                                                                  "
+" La Jolla, California USA 92093-0244                                                       "
+"                                                                                           "
+" Status of data and correspondence:                                                        "
+"                                                                                           "
+" These data are subject to revision based on recalibration of standard gases. Questions    "
+" about the data should be directed to Dr. Ralph Keeling (rkeeling@ucsd.edu), Stephen Walker"
+" (sjwalker@ucsd.edu) and Stephen Piper (scpiper@ucsd.edu), Scripps CO2 Program.            "
+"                                                                                           "
+" Baseline data in this file through 01-Nov-2022 from archive dated 02-Nov-2022 13:32:39    "
+"                                                                                           "
+"-------------------------------------------------------------------------------------------"
+"                                                                                           "
+" Please cite as:                                                                           "
+"                                                                                           "
+" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and       "
+" H. A. Meijer, Exchanges of atmospheric CO2 and 13CO2 with the terrestrial biosphere and   "
+" oceans from 1978 to 2000.  I. Global aspects, SIO Reference Series, No. 01-06, Scripps    "
+" Institution of Oceanography, San Diego, 88 pages, 2001.                                   "
+"                                                                                           "
+" If it is necessary to cite a peer-reviewed article, please cite as:                       "
+"                                                                                           "
+" C. D. Keeling, S. C. Piper, R. B. Bacastow, M. Wahlen, T. P. Whorf, M. Heimann, and       "
+" H. A. Meijer, Atmospheric CO2 and 13CO2 exchange with the terrestrial biosphere and       "
+" oceans from 1978 to 2000: observations and carbon cycle implications, pages 83-113,       "
+" in "A History of Atmospheric CO2 and its effects on Plants, Animals, and Ecosystems",     "
+" editors, Ehleringer, J.R., T. E. Cerling, M. D. Dearing, Springer Verlag,                 "
+" New York, 2005.                                                                           "
+"                                                                                           "
+"-------------------------------------------------------------------------------------------"
+"                                                                                           "
+"                                                                        "
+" The data file below contains 2 columns indicaing the date and CO2      "
+" concentrations in micro-mol CO2 per mole (ppm), reported on the 2012  "
+" SIO manometric mole fraction scale.  These weekly values have been     "
+" adjusted to 12:00 hours at middle day of each weekly period as         "
+" indicated by the date in the first column.                             "
+1958-03-29, 316.19
+1958-04-05, 317.31
+1958-04-12, 317.69
+1958-04-19, 317.58
+1958-04-26, 316.48
+1958-05-03, 316.95
+1958-05-17, 317.56
+1958-05-24, 317.99
+1958-07-05, 315.85
+1958-07-12, 315.85
+1958-07-19, 315.46
+1958-07-26, 315.59
+1958-08-02, 315.64
+1958-08-09, 315.10
+1958-08-16, 315.09
+1958-08-30, 314.14
+1958-09-06, 313.54
+1958-11-08, 313.05
+1958-11-15, 313.26
+1958-11-22, 313.57
+1958-11-29, 314.01
+1958-12-06, 314.56
+1958-12-13, 314.41
+1958-12-20, 314.77
+1958-12-27, 315.21
+1959-01-03, 315.24
+1959-01-10, 315.50
+1959-01-17, 315.69
+1959-01-24, 315.86
+1959-01-31, 315.42
+1959-02-14, 316.94
+1959-02-21, 316.61
+1959-02-28, 316.62
+1959-03-07, 316.81
+1959-03-21, 316.73
+1959-03-28, 316.71
+1959-04-04, 317.72
+1959-04-11, 317.12
+1959-04-18, 317.64
+1959-04-25, 318.32
+1959-05-02, 318.27
+1959-05-09, 318.78
+1959-05-16, 318.05
+1959-05-23, 318.43
+1959-06-06, 318.53
+1959-06-13, 318.14
+1959-06-20, 317.88
+1959-06-27, 317.76
+1959-07-04, 316.86
+1959-07-11, 316.83
+1959-07-18, 316.45
+1959-07-25, 316.16
+1959-08-01, 315.62
+1959-08-08, 314.91
+1959-08-22, 315.00
+1959-08-29, 314.15
+1959-09-05, 314.45
+1959-09-12, 313.93
+1959-09-19, 313.57
+1959-09-26, 313.54
+1959-10-03, 313.04
+1959-10-10, 313.15
+1959-10-17, 313.43
+1959-10-24, 313.46
+1959-10-31, 314.12
+1959-11-07, 314.42
+1959-11-14, 314.88
+1959-11-21, 315.20
+1959-11-28, 315.11
+1959-12-05, 315.06
+1959-12-12, 315.64
+1959-12-19, 315.86
+1959-12-26, 315.77
+1960-01-02, 315.72
+1960-01-09, 316.40
+1960-01-16, 316.73
+1960-01-23, 316.57
+1960-01-30, 316.68
+1960-02-06, 316.61
+1960-02-13, 316.98
+1960-02-20, 317.42
+1960-02-27, 317.00
+1960-03-05, 316.96
+1960-03-12, 317.76
+1960-03-19, 318.07
+1960-03-26, 317.77
+1960-04-02, 318.61
+1960-04-09, 319.34
+1960-04-16, 319.01
+1960-04-23, 319.03
+1960-04-30, 319.77
+1960-05-07, 319.96
+1960-05-14, 319.82
+1960-05-21, 320.04
+1960-05-28, 320.06
+1960-06-04, 319.46
+1960-06-11, 320.08
+1960-06-18, 319.42
+1960-06-25, 319.09
+1960-07-02, 318.18
+1960-07-09, 318.64
+1960-07-16, 318.41
+1960-07-23, 317.91
+1960-07-30, 317.33
+1960-08-06, 316.62
+1960-08-13, 316.70
+1960-08-20, 315.10
+1960-08-27, 314.78
+1960-09-03, 314.72
+1960-09-10, 314.58
+1960-09-17, 314.28
+1960-09-24, 313.33
+1960-10-01, 313.66
+1960-10-08, 313.32
+1960-10-15, 313.92
+1960-10-22, 314.21
+1960-10-29, 314.29
+1960-11-05, 314.50
+1960-11-12, 315.10
+1960-11-19, 315.10
+1960-11-26, 315.41
+1960-12-03, 315.84
+1960-12-10, 316.07
+1960-12-17, 316.21
+1960-12-24, 316.40
+1960-12-31, 316.67
+1961-01-07, 316.73
+1961-01-14, 317.02
+1961-01-21, 317.03
+1961-01-28, 317.01
+1961-02-04, 317.06
+1961-02-11, 317.75
+1961-02-18, 317.94
+1961-02-25, 318.00
+1961-03-04, 318.04
+1961-03-11, 318.51
+1961-03-18, 318.92
+1961-03-25, 318.71
+1961-04-01, 319.41
+1961-04-08, 319.55
+1961-04-15, 318.90
+1961-04-22, 319.74
+1961-04-29, 319.67
+1961-05-06, 320.67
+1961-05-13, 320.46
+1961-05-20, 320.61
+1961-05-27, 320.36
+1961-06-03, 320.09
+1961-06-10, 320.02
+1961-06-17, 319.62
+1961-06-24, 319.49
+1961-07-01, 319.26
+1961-07-08, 319.07
+1961-07-15, 318.49
+1961-07-22, 317.16
+1961-07-29, 317.97
+1961-08-05, 317.91
+1961-08-12, 317.33
+1961-08-19, 316.76
+1961-08-26, 315.26
+1961-09-02, 315.28
+1961-09-09, 314.97
+1961-09-16, 314.53
+1961-09-23, 315.06
+1961-09-30, 315.61
+1961-10-07, 314.97
+1961-10-14, 315.43
+1961-10-21, 315.48
+1961-10-28, 315.72
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