From 5441166662562745b1a9300e460f593d34daa0f2 Mon Sep 17 00:00:00 2001
From: 0db2f0554d3b3bbdf0f34a0c1240bdef
 <0db2f0554d3b3bbdf0f34a0c1240bdef@app-learninglab.inria.fr>
Date: Fri, 12 Jun 2020 16:53:32 +0000
Subject: [PATCH] version 0.2

---
 ...ans l'atmosph\303\250re depuis 1958.ipynb" | 1038 ++++++
 module3/exo3/concentrationCO2.csv             | 3217 +++++++++++++++++
 2 files changed, 4255 insertions(+)
 create mode 100644 module3/exo3/concentrationCO2.csv

diff --git "a/module3/exo3/Concentration de CO2 dans l'atmosph\303\250re depuis 1958.ipynb" "b/module3/exo3/Concentration de CO2 dans l'atmosph\303\250re depuis 1958.ipynb"
index aeaa6ce..7689440 100644
--- "a/module3/exo3/Concentration de CO2 dans l'atmosph\303\250re depuis 1958.ipynb"	
+++ "b/module3/exo3/Concentration de CO2 dans l'atmosph\303\250re depuis 1958.ipynb"	
@@ -35,6 +35,1044 @@
     "En 1958, Charles David Keeling  a initié une mesure de la concentration de CO2 dans l'atmosphère à l'observatoire de Mauna Loa, Hawaii, États-Unis qui continue jusqu'à aujourd'hui.\n",
     "Les données sont disponibles sur le [site Web de l'institut Scripps](https://scrippsco2.ucsd.edu/data/atmospheric_co2/primary_mlo_co2_record.html)."
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Le format des données est explicité dans le fichier CSV :\n",
+    "\n",
+    "\"The data file below contains 2 columns indicaing the date and CO2       \"\n",
+    "\" concentrations in micro-mol CO2 per mole (ppm), reported on the 2008A  \"\n",
+    "\" SIO manometric mole fraction scale.  These weekly values have been     \"\n",
+    "\" adjusted to 12:00 hours at middle day of each weekly period as         \"\n",
+    "\" indicated by the date in the first column.                             \"\n",
+    "\n",
+    "Les 43 premières lignes sont des commentaires que nous ignorons en précisant skiprows=43."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Vérifions qu'une copie locale des données existe dans le répertoire de travail sinon nous la téléchargeons.\n",
+    "\n",
+    "**NB:** La version de la base de données hebdomadaires utilisée dans la création de ce document computationnel a été téléchargé le 12/06/2020.\n",
+    "\n",
+    "Nous ajoutons un nom aux colonnes pour les identifier plus facilement par la suite"
+   ]
+  },
+  {
+   "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>CO2_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",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1958-05-03</td>\n",
+       "      <td>316.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1958-05-17</td>\n",
+       "      <td>317.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1958-05-24</td>\n",
+       "      <td>317.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1958-07-05</td>\n",
+       "      <td>315.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1958-07-12</td>\n",
+       "      <td>315.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1958-07-19</td>\n",
+       "      <td>315.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1958-07-26</td>\n",
+       "      <td>315.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>1958-08-02</td>\n",
+       "      <td>315.64</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>1958-08-09</td>\n",
+       "      <td>315.10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>1958-08-16</td>\n",
+       "      <td>315.09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>1958-08-30</td>\n",
+       "      <td>314.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>1958-09-06</td>\n",
+       "      <td>313.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>1958-11-08</td>\n",
+       "      <td>313.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>1958-11-15</td>\n",
+       "      <td>313.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>1958-11-22</td>\n",
+       "      <td>313.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>1958-11-29</td>\n",
+       "      <td>314.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>1958-12-06</td>\n",
+       "      <td>314.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1958-12-13</td>\n",
+       "      <td>314.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1958-12-20</td>\n",
+       "      <td>314.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1958-12-27</td>\n",
+       "      <td>315.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>1959-01-03</td>\n",
+       "      <td>315.24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1959-01-10</td>\n",
+       "      <td>315.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>1959-01-17</td>\n",
+       "      <td>315.69</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>1959-01-24</td>\n",
+       "      <td>315.86</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>1959-01-31</td>\n",
+       "      <td>315.42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3143</th>\n",
+       "      <td>2019-11-02</td>\n",
+       "      <td>409.86</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3144</th>\n",
+       "      <td>2019-11-09</td>\n",
+       "      <td>410.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3145</th>\n",
+       "      <td>2019-11-16</td>\n",
+       "      <td>410.22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3146</th>\n",
+       "      <td>2019-11-23</td>\n",
+       "      <td>410.48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3147</th>\n",
+       "      <td>2019-11-30</td>\n",
+       "      <td>410.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3148</th>\n",
+       "      <td>2019-12-07</td>\n",
+       "      <td>411.27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3149</th>\n",
+       "      <td>2019-12-14</td>\n",
+       "      <td>411.67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3150</th>\n",
+       "      <td>2019-12-21</td>\n",
+       "      <td>412.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3151</th>\n",
+       "      <td>2019-12-28</td>\n",
+       "      <td>412.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3152</th>\n",
+       "      <td>2020-01-04</td>\n",
+       "      <td>413.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3153</th>\n",
+       "      <td>2020-01-11</td>\n",
+       "      <td>413.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3154</th>\n",
+       "      <td>2020-01-25</td>\n",
+       "      <td>413.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3155</th>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>413.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3156</th>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>414.83</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3157</th>\n",
+       "      <td>2020-02-15</td>\n",
+       "      <td>413.81</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3158</th>\n",
+       "      <td>2020-02-22</td>\n",
+       "      <td>414.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3159</th>\n",
+       "      <td>2020-02-29</td>\n",
+       "      <td>413.89</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3160</th>\n",
+       "      <td>2020-03-07</td>\n",
+       "      <td>414.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3161</th>\n",
+       "      <td>2020-03-14</td>\n",
+       "      <td>414.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3162</th>\n",
+       "      <td>2020-03-21</td>\n",
+       "      <td>414.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3163</th>\n",
+       "      <td>2020-03-28</td>\n",
+       "      <td>415.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3164</th>\n",
+       "      <td>2020-04-04</td>\n",
+       "      <td>415.61</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3165</th>\n",
+       "      <td>2020-04-11</td>\n",
+       "      <td>416.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3166</th>\n",
+       "      <td>2020-04-18</td>\n",
+       "      <td>416.60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3167</th>\n",
+       "      <td>2020-04-25</td>\n",
+       "      <td>415.86</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3168</th>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>417.20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3169</th>\n",
+       "      <td>2020-05-09</td>\n",
+       "      <td>416.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3170</th>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>416.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3171</th>\n",
+       "      <td>2020-05-23</td>\n",
+       "      <td>417.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3172</th>\n",
+       "      <td>2020-05-30</td>\n",
+       "      <td>417.19</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3173 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            date  CO2_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\n",
+       "5     1958-05-03             316.95\n",
+       "6     1958-05-17             317.56\n",
+       "7     1958-05-24             317.99\n",
+       "8     1958-07-05             315.85\n",
+       "9     1958-07-12             315.85\n",
+       "10    1958-07-19             315.46\n",
+       "11    1958-07-26             315.59\n",
+       "12    1958-08-02             315.64\n",
+       "13    1958-08-09             315.10\n",
+       "14    1958-08-16             315.09\n",
+       "15    1958-08-30             314.14\n",
+       "16    1958-09-06             313.54\n",
+       "17    1958-11-08             313.05\n",
+       "18    1958-11-15             313.26\n",
+       "19    1958-11-22             313.57\n",
+       "20    1958-11-29             314.01\n",
+       "21    1958-12-06             314.56\n",
+       "22    1958-12-13             314.41\n",
+       "23    1958-12-20             314.77\n",
+       "24    1958-12-27             315.21\n",
+       "25    1959-01-03             315.24\n",
+       "26    1959-01-10             315.50\n",
+       "27    1959-01-17             315.69\n",
+       "28    1959-01-24             315.86\n",
+       "29    1959-01-31             315.42\n",
+       "...          ...                ...\n",
+       "3143  2019-11-02             409.86\n",
+       "3144  2019-11-09             410.15\n",
+       "3145  2019-11-16             410.22\n",
+       "3146  2019-11-23             410.48\n",
+       "3147  2019-11-30             410.92\n",
+       "3148  2019-12-07             411.27\n",
+       "3149  2019-12-14             411.67\n",
+       "3150  2019-12-21             412.30\n",
+       "3151  2019-12-28             412.59\n",
+       "3152  2020-01-04             413.19\n",
+       "3153  2020-01-11             413.39\n",
+       "3154  2020-01-25             413.36\n",
+       "3155  2020-02-01             413.99\n",
+       "3156  2020-02-08             414.83\n",
+       "3157  2020-02-15             413.81\n",
+       "3158  2020-02-22             414.17\n",
+       "3159  2020-02-29             413.89\n",
+       "3160  2020-03-07             414.00\n",
+       "3161  2020-03-14             414.30\n",
+       "3162  2020-03-21             414.62\n",
+       "3163  2020-03-28             415.57\n",
+       "3164  2020-04-04             415.61\n",
+       "3165  2020-04-11             416.47\n",
+       "3166  2020-04-18             416.60\n",
+       "3167  2020-04-25             415.86\n",
+       "3168  2020-05-02             417.20\n",
+       "3169  2020-05-09             416.99\n",
+       "3170  2020-05-16             416.54\n",
+       "3171  2020-05-23             417.49\n",
+       "3172  2020-05-30             417.19\n",
+       "\n",
+       "[3173 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data_url = \"https://scrippsco2.ucsd.edu/assets/data/atmospheric/stations/in_situ_co2/weekly/weekly_in_situ_co2_mlo.csv\"\n",
+    "data_file = \"concentrationCO2.csv\"\n",
+    "\n",
+    "os.path.isfile(data_file)\n",
+    "if os.path.isfile(data_file) == 0:\n",
+    "   urllib.request.urlretrieve(data_url, data_file)\n",
+    "\n",
+    "raw_data = pd.read_csv(data_file, names = ['date','CO2_concentration'], skiprows=44)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Y a-t-il des points manquants dans ce jeux de données ?"
+   ]
+  },
+  {
+   "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>date</th>\n",
+       "      <th>CO2_concentration</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [date, CO2_concentration]\n",
+       "Index: []"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data[raw_data.isnull().any(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "À la date de création de ce document il n'y a pas de données manquante. Cependant on introduisons une procédure pour supprimer les lignes avec de telles données manquantes susceptibles d'être introduite dans la base de données par la suite."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "scrolled": false
+   },
+   "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>CO2_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",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1958-05-03</td>\n",
+       "      <td>316.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1958-05-17</td>\n",
+       "      <td>317.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1958-05-24</td>\n",
+       "      <td>317.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1958-07-05</td>\n",
+       "      <td>315.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1958-07-12</td>\n",
+       "      <td>315.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1958-07-19</td>\n",
+       "      <td>315.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1958-07-26</td>\n",
+       "      <td>315.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>1958-08-02</td>\n",
+       "      <td>315.64</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>1958-08-09</td>\n",
+       "      <td>315.10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>1958-08-16</td>\n",
+       "      <td>315.09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>1958-08-30</td>\n",
+       "      <td>314.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>1958-09-06</td>\n",
+       "      <td>313.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>1958-11-08</td>\n",
+       "      <td>313.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>1958-11-15</td>\n",
+       "      <td>313.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>1958-11-22</td>\n",
+       "      <td>313.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>1958-11-29</td>\n",
+       "      <td>314.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>1958-12-06</td>\n",
+       "      <td>314.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>1958-12-13</td>\n",
+       "      <td>314.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>1958-12-20</td>\n",
+       "      <td>314.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>1958-12-27</td>\n",
+       "      <td>315.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>1959-01-03</td>\n",
+       "      <td>315.24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>1959-01-10</td>\n",
+       "      <td>315.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>1959-01-17</td>\n",
+       "      <td>315.69</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>1959-01-24</td>\n",
+       "      <td>315.86</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>1959-01-31</td>\n",
+       "      <td>315.42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3143</th>\n",
+       "      <td>2019-11-02</td>\n",
+       "      <td>409.86</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3144</th>\n",
+       "      <td>2019-11-09</td>\n",
+       "      <td>410.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3145</th>\n",
+       "      <td>2019-11-16</td>\n",
+       "      <td>410.22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3146</th>\n",
+       "      <td>2019-11-23</td>\n",
+       "      <td>410.48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3147</th>\n",
+       "      <td>2019-11-30</td>\n",
+       "      <td>410.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3148</th>\n",
+       "      <td>2019-12-07</td>\n",
+       "      <td>411.27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3149</th>\n",
+       "      <td>2019-12-14</td>\n",
+       "      <td>411.67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3150</th>\n",
+       "      <td>2019-12-21</td>\n",
+       "      <td>412.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3151</th>\n",
+       "      <td>2019-12-28</td>\n",
+       "      <td>412.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3152</th>\n",
+       "      <td>2020-01-04</td>\n",
+       "      <td>413.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3153</th>\n",
+       "      <td>2020-01-11</td>\n",
+       "      <td>413.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3154</th>\n",
+       "      <td>2020-01-25</td>\n",
+       "      <td>413.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3155</th>\n",
+       "      <td>2020-02-01</td>\n",
+       "      <td>413.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3156</th>\n",
+       "      <td>2020-02-08</td>\n",
+       "      <td>414.83</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3157</th>\n",
+       "      <td>2020-02-15</td>\n",
+       "      <td>413.81</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3158</th>\n",
+       "      <td>2020-02-22</td>\n",
+       "      <td>414.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3159</th>\n",
+       "      <td>2020-02-29</td>\n",
+       "      <td>413.89</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3160</th>\n",
+       "      <td>2020-03-07</td>\n",
+       "      <td>414.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3161</th>\n",
+       "      <td>2020-03-14</td>\n",
+       "      <td>414.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3162</th>\n",
+       "      <td>2020-03-21</td>\n",
+       "      <td>414.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3163</th>\n",
+       "      <td>2020-03-28</td>\n",
+       "      <td>415.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3164</th>\n",
+       "      <td>2020-04-04</td>\n",
+       "      <td>415.61</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3165</th>\n",
+       "      <td>2020-04-11</td>\n",
+       "      <td>416.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3166</th>\n",
+       "      <td>2020-04-18</td>\n",
+       "      <td>416.60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3167</th>\n",
+       "      <td>2020-04-25</td>\n",
+       "      <td>415.86</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3168</th>\n",
+       "      <td>2020-05-02</td>\n",
+       "      <td>417.20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3169</th>\n",
+       "      <td>2020-05-09</td>\n",
+       "      <td>416.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3170</th>\n",
+       "      <td>2020-05-16</td>\n",
+       "      <td>416.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3171</th>\n",
+       "      <td>2020-05-23</td>\n",
+       "      <td>417.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3172</th>\n",
+       "      <td>2020-05-30</td>\n",
+       "      <td>417.19</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3173 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            date  CO2_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\n",
+       "5     1958-05-03             316.95\n",
+       "6     1958-05-17             317.56\n",
+       "7     1958-05-24             317.99\n",
+       "8     1958-07-05             315.85\n",
+       "9     1958-07-12             315.85\n",
+       "10    1958-07-19             315.46\n",
+       "11    1958-07-26             315.59\n",
+       "12    1958-08-02             315.64\n",
+       "13    1958-08-09             315.10\n",
+       "14    1958-08-16             315.09\n",
+       "15    1958-08-30             314.14\n",
+       "16    1958-09-06             313.54\n",
+       "17    1958-11-08             313.05\n",
+       "18    1958-11-15             313.26\n",
+       "19    1958-11-22             313.57\n",
+       "20    1958-11-29             314.01\n",
+       "21    1958-12-06             314.56\n",
+       "22    1958-12-13             314.41\n",
+       "23    1958-12-20             314.77\n",
+       "24    1958-12-27             315.21\n",
+       "25    1959-01-03             315.24\n",
+       "26    1959-01-10             315.50\n",
+       "27    1959-01-17             315.69\n",
+       "28    1959-01-24             315.86\n",
+       "29    1959-01-31             315.42\n",
+       "...          ...                ...\n",
+       "3143  2019-11-02             409.86\n",
+       "3144  2019-11-09             410.15\n",
+       "3145  2019-11-16             410.22\n",
+       "3146  2019-11-23             410.48\n",
+       "3147  2019-11-30             410.92\n",
+       "3148  2019-12-07             411.27\n",
+       "3149  2019-12-14             411.67\n",
+       "3150  2019-12-21             412.30\n",
+       "3151  2019-12-28             412.59\n",
+       "3152  2020-01-04             413.19\n",
+       "3153  2020-01-11             413.39\n",
+       "3154  2020-01-25             413.36\n",
+       "3155  2020-02-01             413.99\n",
+       "3156  2020-02-08             414.83\n",
+       "3157  2020-02-15             413.81\n",
+       "3158  2020-02-22             414.17\n",
+       "3159  2020-02-29             413.89\n",
+       "3160  2020-03-07             414.00\n",
+       "3161  2020-03-14             414.30\n",
+       "3162  2020-03-21             414.62\n",
+       "3163  2020-03-28             415.57\n",
+       "3164  2020-04-04             415.61\n",
+       "3165  2020-04-11             416.47\n",
+       "3166  2020-04-18             416.60\n",
+       "3167  2020-04-25             415.86\n",
+       "3168  2020-05-02             417.20\n",
+       "3169  2020-05-09             416.99\n",
+       "3170  2020-05-16             416.54\n",
+       "3171  2020-05-23             417.49\n",
+       "3172  2020-05-30             417.19\n",
+       "\n",
+       "[3173 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = raw_data.dropna().copy()\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Le format de la date est conventionnelle et compris par la bibliothèque pandas. Nous pouvons utiliser les données telles quelles pour tracer un premier aperçu des données brutes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sorted_data = data.set_index('date').sort_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f25a1fc77f0>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data.plot()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Il existe clairement deux tendances. Une tendance à cours terme et une à long terme.\n",
+    "\n",
+    "Étudions d'abors la tendance oscillatoire à court terme en traçant ces données sur les dernières années. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f25a1e739e8>"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data[-200:].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/module3/exo3/concentrationCO2.csv b/module3/exo3/concentrationCO2.csv
new file mode 100644
index 0000000..f82e472
--- /dev/null
+++ b/module3/exo3/concentrationCO2.csv
@@ -0,0 +1,3217 @@
+"-------------------------------------------------------------------------------------------"
+" 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 03-Jun-2020 from archive dated 03-Jun-2020 08:07:43    "
+"                                                                                           "
+"-------------------------------------------------------------------------------------------"
+"                                                                                           "
+" 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 2008A  "
+" 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
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-- 
2.18.1