diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..062eefe
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,7 @@
+*.csv
+*.jpg
+*.xlsx
+.DS_Store
+.ipynb_checkpoints/
+4- API call.ipynb
+/Images
\ No newline at end of file
diff --git a/1- Cleaning.ipynb b/1- Cleaning.ipynb
new file mode 100644
index 0000000..6a3bdd1
--- /dev/null
+++ b/1- Cleaning.ipynb	
@@ -0,0 +1,966 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "static-stake",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import libraries\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "lasting-petite",
+   "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>distance</th>\n",
+       "      <th>consume</th>\n",
+       "      <th>speed</th>\n",
+       "      <th>temp_inside</th>\n",
+       "      <th>temp_outside</th>\n",
+       "      <th>specials</th>\n",
+       "      <th>gas_type</th>\n",
+       "      <th>AC</th>\n",
+       "      <th>rain</th>\n",
+       "      <th>sun</th>\n",
+       "      <th>refill liters</th>\n",
+       "      <th>refill gas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>28.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>26</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>45.0</td>\n",
+       "      <td>E10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>12.0</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>30</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>13</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>11.2</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>38</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>12.9</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>36</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>18.5</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>46</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>15</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   distance  consume  speed  temp_inside  temp_outside specials gas_type  AC  \\\n",
+       "0      28.0      5.0     26         21.5            12      NaN      E10   0   \n",
+       "1      12.0      4.2     30         21.5            13      NaN      E10   0   \n",
+       "2      11.2      5.5     38         21.5            15      NaN      E10   0   \n",
+       "3      12.9      3.9     36         21.5            14      NaN      E10   0   \n",
+       "4      18.5      4.5     46         21.5            15      NaN      E10   0   \n",
+       "\n",
+       "   rain  sun  refill liters refill gas  \n",
+       "0     0    0           45.0        E10  \n",
+       "1     0    0            NaN        NaN  \n",
+       "2     0    0            NaN        NaN  \n",
+       "3     0    0            NaN        NaN  \n",
+       "4     0    0            NaN        NaN  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# get to know the dataset\n",
+    "# change the dataset separation to ','\n",
+    "df = pd.read_csv('dataset/measurements.csv', decimal = ',')\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "valued-mission",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 388 entries, 0 to 387\n",
+      "Data columns (total 12 columns):\n",
+      " #   Column         Non-Null Count  Dtype  \n",
+      "---  ------         --------------  -----  \n",
+      " 0   distance       388 non-null    float64\n",
+      " 1   consume        388 non-null    float64\n",
+      " 2   speed          388 non-null    int64  \n",
+      " 3   temp_inside    376 non-null    float64\n",
+      " 4   temp_outside   388 non-null    int64  \n",
+      " 5   specials       93 non-null     object \n",
+      " 6   gas_type       388 non-null    object \n",
+      " 7   AC             388 non-null    int64  \n",
+      " 8   rain           388 non-null    int64  \n",
+      " 9   sun            388 non-null    int64  \n",
+      " 10  refill liters  13 non-null     float64\n",
+      " 11  refill gas     13 non-null     object \n",
+      "dtypes: float64(4), int64(5), object(3)\n",
+      "memory usage: 36.5+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "charming-favorite",
+   "metadata": {},
+   "source": [
+    "**We find a 12 column dataset, with 387 rows. Each row give us information about one different trip, including distance, consume, average speed, temperature inside, temperature outside, special data (about weather), the gas type used, if the air conditioner was on/off, if it was raining or sunny, and  the refilled of gas**\n",
+    "\n",
+    "**Columns \"refill liters\" and \"refill gas\", and \"specials\" have a wide range of NAN values**\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dutch-simon",
+   "metadata": {},
+   "source": [
+    "## Distance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "champion-softball",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# check info\n",
+    "distance_sorted = sorted(df.distance.unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "cubic-simple",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "nans =  0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# to float\n",
+    "df.distance = pd.to_numeric(df.distance)\n",
+    "# check nans after convert to float\n",
+    "print('nans = ', df.distance.isna().sum())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "conditional-mason",
+   "metadata": {},
+   "source": [
+    "## Consume"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "remarkable-electricity",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "consume_sorted = sorted(df.consume.unique())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "mobile-pioneer",
+   "metadata": {},
+   "source": [
+    "## Average speed in km/h"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "choice-malaysia",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "speed_sorted = sorted(df.speed.unique())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "attached-monroe",
+   "metadata": {},
+   "source": [
+    "## Temperature inside the car"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "defensive-representation",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Have found 12 empty values in this serie\n"
+     ]
+    }
+   ],
+   "source": [
+    "temp_inside_sorted = sorted(df.temp_inside.unique())\n",
+    "print('Have found', df.temp_inside.isna().sum(), 'empty values in this serie')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "micro-grant",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "21.5    133\n",
+      "22.0    102\n",
+      "22.5     59\n",
+      "20.0     25\n",
+      "21.0     13\n",
+      "23.0     13\n",
+      "25.0     12\n",
+      "24.5      7\n",
+      "20.5      4\n",
+      "24.0      3\n",
+      "25.5      2\n",
+      "23.5      2\n",
+      "19.0      1\n",
+      "Name: temp_inside, dtype: int64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df.temp_inside.value_counts())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "analyzed-collective",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.03\n"
+     ]
+    }
+   ],
+   "source": [
+    "# 3% of our data are null, so we decided to replace it for the average temperature\n",
+    "print(round((df.temp_inside.isna().sum())/(df.shape[0]), 2 ))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "sensitive-incentive",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mean_temp = round(df.temp_inside.mean(), 2) \n",
+    "df.temp_inside.fillna(mean_temp, inplace = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "active-parade",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.temp_inside.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "funded-authentication",
+   "metadata": {},
+   "source": [
+    "## Temperature outside"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "injured-college",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([12, 13, 15, 14, 10, 11,  6,  4,  9,  0,  5,  3,  8,  1,  2,  7, -3,\n",
+       "       17, 18, -5, 16, 19, 21, 20, 25, 23, 27, 24, 26, 22, 30, 31, 28])"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.temp_outside.unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "historical-annotation",
+   "metadata": {},
+   "source": [
+    "## Specials"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "intimate-conjunction",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([nan, 'AC rain', 'AC', 'rain', 'snow', 'AC snow',\n",
+       "       'half rain half sun', 'sun', 'AC sun', 'sun ac', 'ac', 'AC Sun',\n",
+       "       'ac rain'], dtype=object)"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.specials.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "applied-portugal",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.76\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(round((df.specials.isna().sum())/(df.shape[0]), 2 ))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "experienced-picking",
+   "metadata": {},
+   "source": [
+    "**Specials column doesn't give us relevant information, and the 76% of values are nulls, so we decided to drop it**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "agricultural-master",
+   "metadata": {},
+   "source": [
+    "## Gas Type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "registered-electric",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['E10', 'SP98'], dtype=object)"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.gas_type.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "classical-musician",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[\"gas_type\"] = df[\"gas_type\"].astype('category')\n",
+    "df[\"gas_type_coded\"] = df[\"gas_type\"].cat.codes"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eastern-bahrain",
+   "metadata": {},
+   "source": [
+    "## Air Conditionair"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "moving-purpose",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0, 1])"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.AC.unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "molecular-tampa",
+   "metadata": {},
+   "source": [
+    "## Rain"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "individual-passing",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0, 1])"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.rain.unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "structured-oregon",
+   "metadata": {},
+   "source": [
+    "## Sun"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "becoming-salem",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0, 1])"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.sun.unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "romance-session",
+   "metadata": {},
+   "source": [
+    "## Refill liters"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "narrow-monte",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([45. ,  nan, 37.6, 37.7, 38. , 38.3, 10. , 39. , 41. , 37. , 37.2])"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['refill liters'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "important-reducing",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.97\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(round((df['refill liters'].isna().sum())/(df.shape[0]), 2 ))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "strong-possession",
+   "metadata": {},
+   "source": [
+    "## Refill gas "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "collect-lease",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['E10', nan, 'SP98'], dtype=object)"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['refill gas'].unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "theoretical-system",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.97\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(round((df['refill gas'].isna().sum())/(df.shape[0]), 2 ))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "enabling-affect",
+   "metadata": {},
+   "source": [
+    "**97% of values in refill liters and refill gas are empty values**\n",
+    "\n",
+    "**We decided to drop \"refill liters\" and \"refill gas\" columns, as well as \"specials\"**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "restricted-ranking",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df.drop(columns = ['specials', 'refill gas', 'refill liters'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "outside-twenty",
+   "metadata": {},
+   "source": [
+    "## Resultant dataset after cleaning"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "constitutional-score",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 388 entries, 0 to 387\n",
+      "Data columns (total 10 columns):\n",
+      " #   Column          Non-Null Count  Dtype   \n",
+      "---  ------          --------------  -----   \n",
+      " 0   distance        388 non-null    float64 \n",
+      " 1   consume         388 non-null    float64 \n",
+      " 2   speed           388 non-null    int64   \n",
+      " 3   temp_inside     388 non-null    float64 \n",
+      " 4   temp_outside    388 non-null    int64   \n",
+      " 5   gas_type        388 non-null    category\n",
+      " 6   AC              388 non-null    int64   \n",
+      " 7   rain            388 non-null    int64   \n",
+      " 8   sun             388 non-null    int64   \n",
+      " 9   gas_type_coded  388 non-null    int8    \n",
+      "dtypes: category(1), float64(3), int64(5), int8(1)\n",
+      "memory usage: 25.3 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "competent-pleasure",
+   "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>distance</th>\n",
+       "      <th>consume</th>\n",
+       "      <th>speed</th>\n",
+       "      <th>temp_inside</th>\n",
+       "      <th>temp_outside</th>\n",
+       "      <th>AC</th>\n",
+       "      <th>rain</th>\n",
+       "      <th>sun</th>\n",
+       "      <th>gas_type_coded</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>388.000000</td>\n",
+       "      <td>388.000000</td>\n",
+       "      <td>388.000000</td>\n",
+       "      <td>388.000000</td>\n",
+       "      <td>388.000000</td>\n",
+       "      <td>388.000000</td>\n",
+       "      <td>388.000000</td>\n",
+       "      <td>388.000000</td>\n",
+       "      <td>388.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>19.652835</td>\n",
+       "      <td>4.912371</td>\n",
+       "      <td>41.927835</td>\n",
+       "      <td>21.929536</td>\n",
+       "      <td>11.358247</td>\n",
+       "      <td>0.077320</td>\n",
+       "      <td>0.123711</td>\n",
+       "      <td>0.082474</td>\n",
+       "      <td>0.587629</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>22.667837</td>\n",
+       "      <td>1.033172</td>\n",
+       "      <td>13.598524</td>\n",
+       "      <td>0.994666</td>\n",
+       "      <td>6.991542</td>\n",
+       "      <td>0.267443</td>\n",
+       "      <td>0.329677</td>\n",
+       "      <td>0.275441</td>\n",
+       "      <td>0.492897</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.300000</td>\n",
+       "      <td>3.300000</td>\n",
+       "      <td>14.000000</td>\n",
+       "      <td>19.000000</td>\n",
+       "      <td>-5.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>11.800000</td>\n",
+       "      <td>4.300000</td>\n",
+       "      <td>32.750000</td>\n",
+       "      <td>21.500000</td>\n",
+       "      <td>7.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>14.600000</td>\n",
+       "      <td>4.700000</td>\n",
+       "      <td>40.500000</td>\n",
+       "      <td>22.000000</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>19.000000</td>\n",
+       "      <td>5.300000</td>\n",
+       "      <td>50.000000</td>\n",
+       "      <td>22.500000</td>\n",
+       "      <td>16.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>216.100000</td>\n",
+       "      <td>12.200000</td>\n",
+       "      <td>90.000000</td>\n",
+       "      <td>25.500000</td>\n",
+       "      <td>31.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         distance     consume       speed  temp_inside  temp_outside  \\\n",
+       "count  388.000000  388.000000  388.000000   388.000000    388.000000   \n",
+       "mean    19.652835    4.912371   41.927835    21.929536     11.358247   \n",
+       "std     22.667837    1.033172   13.598524     0.994666      6.991542   \n",
+       "min      1.300000    3.300000   14.000000    19.000000     -5.000000   \n",
+       "25%     11.800000    4.300000   32.750000    21.500000      7.000000   \n",
+       "50%     14.600000    4.700000   40.500000    22.000000     10.000000   \n",
+       "75%     19.000000    5.300000   50.000000    22.500000     16.000000   \n",
+       "max    216.100000   12.200000   90.000000    25.500000     31.000000   \n",
+       "\n",
+       "               AC        rain         sun  gas_type_coded  \n",
+       "count  388.000000  388.000000  388.000000      388.000000  \n",
+       "mean     0.077320    0.123711    0.082474        0.587629  \n",
+       "std      0.267443    0.329677    0.275441        0.492897  \n",
+       "min      0.000000    0.000000    0.000000        0.000000  \n",
+       "25%      0.000000    0.000000    0.000000        0.000000  \n",
+       "50%      0.000000    0.000000    0.000000        1.000000  \n",
+       "75%      0.000000    0.000000    0.000000        1.000000  \n",
+       "max      1.000000    1.000000    1.000000        1.000000  "
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "pressed-prescription",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.to_csv('dataset/df_clean.csv', index = False)"
+   ]
+  }
+ ],
+ "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": "3.8.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/2- Visualization.ipynb b/2- Visualization.ipynb
new file mode 100644
index 0000000..e28dd27
--- /dev/null
+++ b/2- Visualization.ipynb	
@@ -0,0 +1,1006 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "handed-manchester",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "spoken-notebook",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# reading our clean dataset\n",
+    "df = pd.read_csv('dataset/df_clean.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "located-thunder",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 388 entries, 0 to 387\n",
+      "Data columns (total 10 columns):\n",
+      " #   Column          Non-Null Count  Dtype  \n",
+      "---  ------          --------------  -----  \n",
+      " 0   distance        388 non-null    float64\n",
+      " 1   consume         388 non-null    float64\n",
+      " 2   speed           388 non-null    int64  \n",
+      " 3   temp_inside     388 non-null    float64\n",
+      " 4   temp_outside    388 non-null    int64  \n",
+      " 5   gas_type        388 non-null    object \n",
+      " 6   AC              388 non-null    int64  \n",
+      " 7   rain            388 non-null    int64  \n",
+      " 8   sun             388 non-null    int64  \n",
+      " 9   gas_type_coded  388 non-null    int64  \n",
+      "dtypes: float64(3), int64(6), object(1)\n",
+      "memory usage: 30.4+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "hourly-lindsay",
+   "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>distance</th>\n",
+       "      <th>consume</th>\n",
+       "      <th>speed</th>\n",
+       "      <th>temp_inside</th>\n",
+       "      <th>temp_outside</th>\n",
+       "      <th>AC</th>\n",
+       "      <th>rain</th>\n",
+       "      <th>sun</th>\n",
+       "      <th>gas_type_coded</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>distance</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.128967</td>\n",
+       "      <td>0.562299</td>\n",
+       "      <td>0.075175</td>\n",
+       "      <td>0.088175</td>\n",
+       "      <td>-0.025738</td>\n",
+       "      <td>-0.019791</td>\n",
+       "      <td>0.081120</td>\n",
+       "      <td>-0.053411</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>consume</th>\n",
+       "      <td>-0.128967</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.227866</td>\n",
+       "      <td>-0.160629</td>\n",
+       "      <td>-0.320811</td>\n",
+       "      <td>0.096591</td>\n",
+       "      <td>0.248118</td>\n",
+       "      <td>-0.170667</td>\n",
+       "      <td>-0.015327</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>speed</th>\n",
+       "      <td>0.562299</td>\n",
+       "      <td>-0.227866</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.059292</td>\n",
+       "      <td>0.015411</td>\n",
+       "      <td>-0.035408</td>\n",
+       "      <td>0.009489</td>\n",
+       "      <td>0.081618</td>\n",
+       "      <td>-0.097360</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>temp_inside</th>\n",
+       "      <td>0.075175</td>\n",
+       "      <td>-0.160629</td>\n",
+       "      <td>0.059292</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.359502</td>\n",
+       "      <td>0.297372</td>\n",
+       "      <td>-0.036939</td>\n",
+       "      <td>0.242248</td>\n",
+       "      <td>0.010203</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>temp_outside</th>\n",
+       "      <td>0.088175</td>\n",
+       "      <td>-0.320811</td>\n",
+       "      <td>0.015411</td>\n",
+       "      <td>0.359502</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.167562</td>\n",
+       "      <td>-0.186315</td>\n",
+       "      <td>0.346903</td>\n",
+       "      <td>0.148705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>AC</th>\n",
+       "      <td>-0.025738</td>\n",
+       "      <td>0.096591</td>\n",
+       "      <td>-0.035408</td>\n",
+       "      <td>0.297372</td>\n",
+       "      <td>0.167562</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.242915</td>\n",
+       "      <td>0.088598</td>\n",
+       "      <td>0.105285</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rain</th>\n",
+       "      <td>-0.019791</td>\n",
+       "      <td>0.248118</td>\n",
+       "      <td>0.009489</td>\n",
+       "      <td>-0.036939</td>\n",
+       "      <td>-0.186315</td>\n",
+       "      <td>0.242915</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.112650</td>\n",
+       "      <td>0.060328</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sun</th>\n",
+       "      <td>0.081120</td>\n",
+       "      <td>-0.170667</td>\n",
+       "      <td>0.081618</td>\n",
+       "      <td>0.242248</td>\n",
+       "      <td>0.346903</td>\n",
+       "      <td>0.088598</td>\n",
+       "      <td>-0.112650</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.022761</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>gas_type_coded</th>\n",
+       "      <td>-0.053411</td>\n",
+       "      <td>-0.015327</td>\n",
+       "      <td>-0.097360</td>\n",
+       "      <td>0.010203</td>\n",
+       "      <td>0.148705</td>\n",
+       "      <td>0.105285</td>\n",
+       "      <td>0.060328</td>\n",
+       "      <td>0.022761</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                distance   consume     speed  temp_inside  temp_outside  \\\n",
+       "distance        1.000000 -0.128967  0.562299     0.075175      0.088175   \n",
+       "consume        -0.128967  1.000000 -0.227866    -0.160629     -0.320811   \n",
+       "speed           0.562299 -0.227866  1.000000     0.059292      0.015411   \n",
+       "temp_inside     0.075175 -0.160629  0.059292     1.000000      0.359502   \n",
+       "temp_outside    0.088175 -0.320811  0.015411     0.359502      1.000000   \n",
+       "AC             -0.025738  0.096591 -0.035408     0.297372      0.167562   \n",
+       "rain           -0.019791  0.248118  0.009489    -0.036939     -0.186315   \n",
+       "sun             0.081120 -0.170667  0.081618     0.242248      0.346903   \n",
+       "gas_type_coded -0.053411 -0.015327 -0.097360     0.010203      0.148705   \n",
+       "\n",
+       "                      AC      rain       sun  gas_type_coded  \n",
+       "distance       -0.025738 -0.019791  0.081120       -0.053411  \n",
+       "consume         0.096591  0.248118 -0.170667       -0.015327  \n",
+       "speed          -0.035408  0.009489  0.081618       -0.097360  \n",
+       "temp_inside     0.297372 -0.036939  0.242248        0.010203  \n",
+       "temp_outside    0.167562 -0.186315  0.346903        0.148705  \n",
+       "AC              1.000000  0.242915  0.088598        0.105285  \n",
+       "rain            0.242915  1.000000 -0.112650        0.060328  \n",
+       "sun             0.088598 -0.112650  1.000000        0.022761  \n",
+       "gas_type_coded  0.105285  0.060328  0.022761        1.000000  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# correlation matrix\n",
+    "corr = df.corr()\n",
+    "corr"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "sonic-lighter",
+   "metadata": {},
+   "source": [
+    "### There is not a high correlation between variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "persistent-adobe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# heatmap\n",
+    "plt.figure(figsize = (10,6))\n",
+    "sns.heatmap(corr, annot = True);\n",
+    "plt.savefig('Images/matrix.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "reported-inside",
+   "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>distance</th>\n",
+       "      <th>consume</th>\n",
+       "      <th>speed</th>\n",
+       "      <th>temp_inside</th>\n",
+       "      <th>temp_outside</th>\n",
+       "      <th>AC</th>\n",
+       "      <th>rain</th>\n",
+       "      <th>sun</th>\n",
+       "      <th>gas_type_coded</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>gas_type</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>E10</th>\n",
+       "      <td>21.096250</td>\n",
+       "      <td>4.931250</td>\n",
+       "      <td>43.506250</td>\n",
+       "      <td>21.917437</td>\n",
+       "      <td>10.11875</td>\n",
+       "      <td>0.043750</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>0.075000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SP98</th>\n",
+       "      <td>18.639912</td>\n",
+       "      <td>4.899123</td>\n",
+       "      <td>40.820175</td>\n",
+       "      <td>21.938026</td>\n",
+       "      <td>12.22807</td>\n",
+       "      <td>0.100877</td>\n",
+       "      <td>0.140351</td>\n",
+       "      <td>0.087719</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           distance   consume      speed  temp_inside  temp_outside        AC  \\\n",
+       "gas_type                                                                        \n",
+       "E10       21.096250  4.931250  43.506250    21.917437      10.11875  0.043750   \n",
+       "SP98      18.639912  4.899123  40.820175    21.938026      12.22807  0.100877   \n",
+       "\n",
+       "              rain       sun  gas_type_coded  \n",
+       "gas_type                                      \n",
+       "E10       0.100000  0.075000             0.0  \n",
+       "SP98      0.140351  0.087719             1.0  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# We would like to see if there is any specific difference in means by gasoline type\n",
+    "means = df.groupby('gas_type').mean()\n",
+    "means"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "daily-turning",
+   "metadata": {},
+   "source": [
+    "### Despite a higher speed uses to correlate inversely with consume, E10 shows a higher mean for speed and for consume"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "exempt-medication",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/victor/Library/Python/3.8/lib/python/site-packages/seaborn/distributions.py:306: UserWarning: Dataset has 0 variance; skipping density estimate.\n",
+      "  warnings.warn(msg, UserWarning)\n",
+      "/Users/victor/Library/Python/3.8/lib/python/site-packages/seaborn/distributions.py:306: UserWarning: Dataset has 0 variance; skipping density estimate.\n",
+      "  warnings.warn(msg, UserWarning)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1680.88x1620 with 90 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.pairplot(df, \n",
+    "             hue = 'gas_type',\n",
+    "             palette = 'rainbow_r');"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "celtic-anderson",
+   "metadata": {},
+   "source": [
+    "# Distance & average Speed, by gas type\n",
+    "- Higher distances usually mean higher speed\n",
+    "- Long distances are been drived using SP98 rather than E10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "little-marble",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1008x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# We start analyzing the higher correlation in the matrix\n",
+    "plt.figure(figsize = (14, 6))\n",
+    "plot_speed_distance = sns.lineplot(x = df.speed, \n",
+    "                                  y = df.distance,\n",
+    "                                  hue = df.gas_type,\n",
+    "                                  palette = 'rainbow_r');\n",
+    "plot_speed_distance.set(xlabel = 'Average speed', \n",
+    "                        ylabel = 'Distance',\n",
+    "                       title = 'Relation between speed and distance');\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "enormous-hungary",
+   "metadata": {},
+   "source": [
+    "# Distance & consume, by gas type\n",
+    "\n",
+    "- Consume decreases with longer distances, independently of the gas type\n",
+    "- The consume of SP98 keeps more stable in large distances than the E10\n",
+    "- For distances between 40-55 km, could be recommeded to use E10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "golden-donor",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (16, 6))\n",
+    "plot_dist_consume = sns.lineplot(x = df.distance, \n",
+    "                                  y = df.consume,\n",
+    "                                  hue = df.gas_type,\n",
+    "                                  palette = 'rainbow_r');\n",
+    "plot_dist_consume.set(xlabel = 'Distance', \n",
+    "                      ylabel = 'Consume',\n",
+    "                      title = 'Relation between distance and consume by gas type');\n",
+    "plt.savefig('Images/consume-distance.png', bbox_inches = 'tight', dpi = 150)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "center-people",
+   "metadata": {},
+   "source": [
+    "# Consume by gas type\n",
+    "\n",
+    "- Mean consume with E10 is kept more stable (less variable) than with SP98\n",
+    "- Mean consume is a little bit higher with E10\n",
+    "- Variability in SP98 consume must be caused by other factors"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "combined-stewart",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 1008x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 432x288 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (14, 6))\n",
+    "plot_dist_consume = sns.boxplot(x = df.consume, \n",
+    "                                  y = df.gas_type,\n",
+    "                                  palette = 'rainbow_r');\n",
+    "plot_dist_consume.set(xlabel = 'Consume', \n",
+    "                      ylabel = 'Gas type',\n",
+    "                      title = 'Consume by gas type');\n",
+    "\n",
+    "plt.show()\n",
+    "plt.savefig('Images/consume-gas.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cooked-strategy",
+   "metadata": {},
+   "source": [
+    "# Average Speed & Consume, by Gas Type\n",
+    "- Higher consume when the speed is lower, in both gases type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "instrumental-grant",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 432x288 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (16, 6))\n",
+    "plot_dist_consume = sns.lineplot(x = df.speed, \n",
+    "                                  y = df.consume,\n",
+    "                                  hue = df.gas_type,\n",
+    "                                  palette = 'rainbow_r');\n",
+    "plot_dist_consume.set(xlabel = 'Speed', \n",
+    "                      ylabel = 'Consume',\n",
+    "                      title = 'Relation between average speed and consume by gas type');\n",
+    "\n",
+    "plt.show()\n",
+    "plt.savefig('Images/consume-speed.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "obvious-pavilion",
+   "metadata": {},
+   "source": [
+    "# Temperature inside the car & Consume, by Gas Type\n",
+    "- Higher consume with SP98 when the temperature inside the car is 23,5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "advisory-press",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (16, 6))\n",
+    "plot_dist_consume = sns.lineplot(x = df.temp_inside, \n",
+    "                                  y = df.consume,\n",
+    "                                  hue = df.gas_type,\n",
+    "                                  palette = 'rainbow_r');\n",
+    "plot_dist_consume.set(xlabel = 'Temperature inside the car', \n",
+    "                      ylabel = 'Consume',\n",
+    "                      title = 'Relation between temperature inside the car and consume by gas type');\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "continental-plymouth",
+   "metadata": {},
+   "source": [
+    "# Air Conditioner & Consume, by Gas Type\n",
+    "- Without AC, the consume is almost equal between both gas types (a little bit higher with E10)\n",
+    "- With AC ON, the consume of both increases slightly, growing more for SP98"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "continuous-imagination",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (12, 6))\n",
+    "plot_dist_consume = sns.barplot(x = df.AC, \n",
+    "                                  y = df.consume,\n",
+    "                                  hue = df.gas_type,\n",
+    "                                  palette = 'rainbow_r');\n",
+    "plot_dist_consume.set(xlabel = 'Air Conditioner', \n",
+    "                      ylabel = 'Consume',\n",
+    "                      title = 'Relation between Air Conditioner and consume by gas type');\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fifty-lafayette",
+   "metadata": {},
+   "source": [
+    "# Temperature outside the car & Consume, by Gas Type\n",
+    "- Doesn't seem to be a difference between gas types related to the temperature outside the car"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "subject-blame",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (16, 6))\n",
+    "plot_dist_consume = sns.lineplot(x = df.temp_outside, \n",
+    "                                  y = df.consume,\n",
+    "                                  hue = df.gas_type,\n",
+    "                                  palette = 'rainbow_r');\n",
+    "plot_dist_consume.set(xlabel = 'Temperature outside the car', \n",
+    "                      ylabel = 'Consume',\n",
+    "                      title = 'Relation between temperature outside the car and consume by gas type');\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "brave-dairy",
+   "metadata": {},
+   "source": [
+    "# Rain & Consume relation, by Gas Type\n",
+    "- Without rain, the consume is slightly higher with E10\n",
+    "- This little difference decreases with rain, bringing both types closer together"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "downtown-plymouth",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (12, 6))\n",
+    "plot_dist_consume = sns.barplot(x = df.rain, \n",
+    "                                  y = df.consume,\n",
+    "                                  hue = df.gas_type,\n",
+    "                                  palette = 'rainbow_r');\n",
+    "plot_dist_consume.set(xlabel = 'Rain', \n",
+    "                      ylabel = 'Consume',\n",
+    "                      title = 'Relation between rain and consume by gas type');\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "oriented-arnold",
+   "metadata": {},
+   "source": [
+    "# Sun & Consume relation, by Gas Type\n",
+    "- Without sun, the consume almost the same for both types\n",
+    "- In sunny days, the consume is decreased for both, specially for SP98"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "polished-receptor",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (12, 6))\n",
+    "plot_dist_consume = sns.barplot(x = df.sun, \n",
+    "                                  y = df.consume,\n",
+    "                                  hue = df.gas_type,\n",
+    "                                  palette = 'rainbow_r');\n",
+    "plot_dist_consume.set(xlabel = 'Sun', \n",
+    "                      ylabel = 'Consume',\n",
+    "                      title = 'Relation between sun and consume by gas type');\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "alternate-extension",
+   "metadata": {},
+   "source": [
+    "# Price and consume\n",
+    "- E10 is sold for 1,38€/liter\n",
+    "- SP98 is sold for 1,46€"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "australian-monkey",
+   "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>distance</th>\n",
+       "      <th>consume</th>\n",
+       "      <th>speed</th>\n",
+       "      <th>temp_inside</th>\n",
+       "      <th>temp_outside</th>\n",
+       "      <th>AC</th>\n",
+       "      <th>rain</th>\n",
+       "      <th>sun</th>\n",
+       "      <th>gas_type_coded</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>gas_type</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>E10</th>\n",
+       "      <td>21.096250</td>\n",
+       "      <td>4.931250</td>\n",
+       "      <td>43.506250</td>\n",
+       "      <td>21.917437</td>\n",
+       "      <td>10.11875</td>\n",
+       "      <td>0.043750</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>0.075000</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>SP98</th>\n",
+       "      <td>18.639912</td>\n",
+       "      <td>4.899123</td>\n",
+       "      <td>40.820175</td>\n",
+       "      <td>21.938026</td>\n",
+       "      <td>12.22807</td>\n",
+       "      <td>0.100877</td>\n",
+       "      <td>0.140351</td>\n",
+       "      <td>0.087719</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           distance   consume      speed  temp_inside  temp_outside        AC  \\\n",
+       "gas_type                                                                        \n",
+       "E10       21.096250  4.931250  43.506250    21.917437      10.11875  0.043750   \n",
+       "SP98      18.639912  4.899123  40.820175    21.938026      12.22807  0.100877   \n",
+       "\n",
+       "              rain       sun  gas_type_coded  \n",
+       "gas_type                                      \n",
+       "E10       0.100000  0.075000             0.0  \n",
+       "SP98      0.140351  0.087719             1.0  "
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "means"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "descending-hurricane",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mid_E10 = (means.consume[0])*1.38"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "lovely-scotland",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mid_SP98 = (means.consume[1]*1.46)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "aboriginal-renaissance",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Price for mean consume driving with E10 is 6.81\n",
+      "Price for mean consume driving with SP98 is 7.15\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Price for mean consume driving with E10 is', round(mid_E10,2))\n",
+    "print('Price for mean consume driving with SP98 is', round(mid_SP98,2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "better-crash",
+   "metadata": {},
+   "source": [
+    "### Despite the car consumes E10 faster than SP98, the price difference shows that using E10 is rentable"
+   ]
+  }
+ ],
+ "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": "3.8.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/3- Webscraping prices.ipynb b/3- Webscraping prices.ipynb
new file mode 100644
index 0000000..02b9c50
--- /dev/null
+++ b/3- Webscraping prices.ipynb	
@@ -0,0 +1,676 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "bridal-theory",
+   "metadata": {},
+   "source": [
+    "It has been gived to us the **general** price for E10 and SP98\n",
+    "- E10 is sold for 1,38€/liter\n",
+    "- SP98 is sold for 1,46€\n",
+    "\n",
+    "### However, as we want to do a real comparison and get to know which one do we should use, could be interesting know the *current price* of each one in Spain."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "changed-columbus",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import libraries\n",
+    "import requests\n",
+    "from bs4 import BeautifulSoup\n",
+    "import pandas as pd\n",
+    "from urllib.request import urlopen\n",
+    "import re\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "faced-recipe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def gasoil(url):\n",
+    "    response = requests.get(url)\n",
+    "    soup = BeautifulSoup(response.content,\"html.parser\")\n",
+    "    scrap = soup.find_all(\"table\", {'class':'panel tabla_precio_hoy' })\n",
+    "    price = [s.getText().split() for s in scrap]\n",
+    "    # getting the mean, min and max prices for this gasoil\n",
+    "    medio = price[0][3]\n",
+    "    minimo = price[0][4]\n",
+    "    maximo = price[0][5]\n",
+    "\n",
+    "    return list((re.findall('\\d+\\.\\d+', medio), re.findall('\\d+\\.\\d+', minimo), re.findall('\\d+\\.\\d+', maximo)))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "spare-collapse",
+   "metadata": {},
+   "source": [
+    "## Prices for SP98"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "ongoing-investing",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mean price today is ['1.537']\n",
+      "Min price today is ['1.188']\n",
+      "Max price today is ['1.645']\n"
+     ]
+    }
+   ],
+   "source": [
+    "SP98 = gasoil(url = 'https://www.clickgasoil.com/c/precio-gasolina-98')\n",
+    "print('Mean price today is', SP98[0])\n",
+    "print('Min price today is', SP98[1])\n",
+    "print('Max price today is', SP98[2])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "received-georgia",
+   "metadata": {},
+   "source": [
+    "## Prices for E10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "attended-chile",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mean price today is ['1.379']\n",
+      "Min price today is ['1.083']\n",
+      "Max price today is ['1.491']\n"
+     ]
+    }
+   ],
+   "source": [
+    "E10 = gasoil(url = 'https://www.clickgasoil.com/c/precio-gasolina-95')\n",
+    "print('Mean price today is', E10[0])\n",
+    "print('Min price today is', E10[1])\n",
+    "print('Max price today is', E10[2])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "systematic-recipe",
+   "metadata": {},
+   "source": [
+    "# Comparative of consume and current prices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "egyptian-spouse",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv('dataset/df_clean.csv')\n",
+    "means = df.groupby('gas_type').mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "standard-january",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mean_E10 = round((means.consume[0])*float(E10[0][0]),2)\n",
+    "min_E10 = round((means.consume[0])*float(E10[1][0]),2)\n",
+    "max_E10 = round((means.consume[0])*float(E10[2][0]),2)\n",
+    "mean_SP98 = round((means.consume[0])*float(SP98[0][0]),2)\n",
+    "min_SP98 = round((means.consume[0])*float(SP98[1][0]),2)\n",
+    "max_SP98 = round((means.consume[0])*float(SP98[2][0]),2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "pediatric-business",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mean consume with E10  price today is 6.8\n",
+      "Min  consume with E10  price today is 5.34\n",
+      "Max  consume with E10  price today is 7.35\n",
+      "Mean consume with SP98 price today is 7.58\n",
+      "Min  consume with SP98 price today is 5.86\n",
+      "Max  consume with SP98 price today is 8.11\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('Mean consume with E10  price today is', mean_E10)\n",
+    "print('Min  consume with E10  price today is', min_E10)\n",
+    "print('Max  consume with E10  price today is', max_E10)\n",
+    "print('Mean consume with SP98 price today is', mean_SP98)\n",
+    "print('Min  consume with SP98 price today is', min_SP98)\n",
+    "print('Max  consume with SP98 price today is', max_SP98)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "french-inclusion",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "details = {\n",
+    "    'gas type': ['E10', 'SP98'],\n",
+    "    'consume_price_min': [min_E10, min_SP98],\n",
+    "    'consume_price_mean': [mean_E10, mean_SP98],\n",
+    "    'consume_price_max': [max_E10, max_SP98],\n",
+    "    'price_min':[E10[1][0], SP98[1][0]],\n",
+    "    'price_mean':[E10[0][0], SP98[0][0]],\n",
+    "    'price_max':[E10[2][0], SP98[2][0]]\n",
+    "}  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "educated-cursor",
+   "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>gas type</th>\n",
+       "      <th>consume_price_min</th>\n",
+       "      <th>consume_price_mean</th>\n",
+       "      <th>consume_price_max</th>\n",
+       "      <th>price_min</th>\n",
+       "      <th>price_mean</th>\n",
+       "      <th>price_max</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>E10</td>\n",
+       "      <td>5.34</td>\n",
+       "      <td>6.80</td>\n",
+       "      <td>7.35</td>\n",
+       "      <td>1.083</td>\n",
+       "      <td>1.379</td>\n",
+       "      <td>1.491</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SP98</td>\n",
+       "      <td>5.86</td>\n",
+       "      <td>7.58</td>\n",
+       "      <td>8.11</td>\n",
+       "      <td>1.188</td>\n",
+       "      <td>1.537</td>\n",
+       "      <td>1.645</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  gas type  consume_price_min  consume_price_mean  consume_price_max  \\\n",
+       "0      E10               5.34                6.80               7.35   \n",
+       "1     SP98               5.86                7.58               8.11   \n",
+       "\n",
+       "  price_min price_mean price_max  \n",
+       "0     1.083      1.379     1.491  \n",
+       "1     1.188      1.537     1.645  "
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "gas = pd.DataFrame(details)\n",
+    "gas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "individual-timber",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.1 0.11 0.1\n"
+     ]
+    }
+   ],
+   "source": [
+    "dif_min = round((min_SP98/min_E10)-1, 2)\n",
+    "dif_mean = round((mean_SP98/mean_E10)-1, 2)\n",
+    "dif_max = round((max_SP98/max_E10)-1, 2)\n",
+    "print(dif_min, dif_mean, dif_max)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "offensive-gates",
+   "metadata": {},
+   "source": [
+    "## In all cases price/consume of E10 is lower.\n",
+    "## SP98 increases price in, at least, a 10% respect to the E10\n",
+    "## We recomend to use E10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "heated-ministry",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Data enrichment\n",
+    "\n",
+    "price_min = dict(zip(gas['gas type'], gas['price_min']))\n",
+    "price_mean = dict(zip(gas['gas type'], gas['price_mean']))\n",
+    "price_max = dict(zip(gas['gas type'], gas['price_max']))\n",
+    "\n",
+    "df['price_min'] = df.gas_type.map(price_min)\n",
+    "df['price_mean'] = df.gas_type.map(price_mean)\n",
+    "df['price_max'] = df.gas_type.map(price_max)\n",
+    "\n",
+    "df.price_min = pd.to_numeric(df.price_min)\n",
+    "df.price_mean = pd.to_numeric(df.price_mean)\n",
+    "df.price_max = pd.to_numeric(df.price_max)\n",
+    "\n",
+    "df['consume_price_min'] = round(df.price_min * df.consume, 2)\n",
+    "df['consume_price_mean'] = round(df.price_mean * df.consume, 2)\n",
+    "df['consume_price_max'] = round(df.price_max * df.consume, 2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "announced-apparel",
+   "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>distance</th>\n",
+       "      <th>consume</th>\n",
+       "      <th>speed</th>\n",
+       "      <th>temp_inside</th>\n",
+       "      <th>temp_outside</th>\n",
+       "      <th>gas_type</th>\n",
+       "      <th>AC</th>\n",
+       "      <th>rain</th>\n",
+       "      <th>sun</th>\n",
+       "      <th>gas_type_coded</th>\n",
+       "      <th>price_min</th>\n",
+       "      <th>price_mean</th>\n",
+       "      <th>price_max</th>\n",
+       "      <th>consume_price_min</th>\n",
+       "      <th>consume_price_mean</th>\n",
+       "      <th>consume_price_max</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>28.0</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>26</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>12</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.083</td>\n",
+       "      <td>1.379</td>\n",
+       "      <td>1.491</td>\n",
+       "      <td>5.42</td>\n",
+       "      <td>6.90</td>\n",
+       "      <td>7.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>12.0</td>\n",
+       "      <td>4.2</td>\n",
+       "      <td>30</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>13</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.083</td>\n",
+       "      <td>1.379</td>\n",
+       "      <td>1.491</td>\n",
+       "      <td>4.55</td>\n",
+       "      <td>5.79</td>\n",
+       "      <td>6.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>11.2</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>38</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>15</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.083</td>\n",
+       "      <td>1.379</td>\n",
+       "      <td>1.491</td>\n",
+       "      <td>5.96</td>\n",
+       "      <td>7.58</td>\n",
+       "      <td>8.20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>12.9</td>\n",
+       "      <td>3.9</td>\n",
+       "      <td>36</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>14</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.083</td>\n",
+       "      <td>1.379</td>\n",
+       "      <td>1.491</td>\n",
+       "      <td>4.22</td>\n",
+       "      <td>5.38</td>\n",
+       "      <td>5.81</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>18.5</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>46</td>\n",
+       "      <td>21.5</td>\n",
+       "      <td>15</td>\n",
+       "      <td>E10</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.083</td>\n",
+       "      <td>1.379</td>\n",
+       "      <td>1.491</td>\n",
+       "      <td>4.87</td>\n",
+       "      <td>6.21</td>\n",
+       "      <td>6.71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>383</th>\n",
+       "      <td>16.0</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>39</td>\n",
+       "      <td>24.5</td>\n",
+       "      <td>18</td>\n",
+       "      <td>SP98</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.188</td>\n",
+       "      <td>1.537</td>\n",
+       "      <td>1.645</td>\n",
+       "      <td>4.40</td>\n",
+       "      <td>5.69</td>\n",
+       "      <td>6.09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>384</th>\n",
+       "      <td>16.1</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>38</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>31</td>\n",
+       "      <td>SP98</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.188</td>\n",
+       "      <td>1.537</td>\n",
+       "      <td>1.645</td>\n",
+       "      <td>5.11</td>\n",
+       "      <td>6.61</td>\n",
+       "      <td>7.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>385</th>\n",
+       "      <td>16.0</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>45</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>19</td>\n",
+       "      <td>SP98</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.188</td>\n",
+       "      <td>1.537</td>\n",
+       "      <td>1.645</td>\n",
+       "      <td>4.51</td>\n",
+       "      <td>5.84</td>\n",
+       "      <td>6.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>386</th>\n",
+       "      <td>15.4</td>\n",
+       "      <td>4.6</td>\n",
+       "      <td>42</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>31</td>\n",
+       "      <td>SP98</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.188</td>\n",
+       "      <td>1.537</td>\n",
+       "      <td>1.645</td>\n",
+       "      <td>5.46</td>\n",
+       "      <td>7.07</td>\n",
+       "      <td>7.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>387</th>\n",
+       "      <td>14.7</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>25</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>30</td>\n",
+       "      <td>SP98</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.188</td>\n",
+       "      <td>1.537</td>\n",
+       "      <td>1.645</td>\n",
+       "      <td>5.94</td>\n",
+       "      <td>7.68</td>\n",
+       "      <td>8.22</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>388 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     distance  consume  speed  temp_inside  temp_outside gas_type  AC  rain  \\\n",
+       "0        28.0      5.0     26         21.5            12      E10   0     0   \n",
+       "1        12.0      4.2     30         21.5            13      E10   0     0   \n",
+       "2        11.2      5.5     38         21.5            15      E10   0     0   \n",
+       "3        12.9      3.9     36         21.5            14      E10   0     0   \n",
+       "4        18.5      4.5     46         21.5            15      E10   0     0   \n",
+       "..        ...      ...    ...          ...           ...      ...  ..   ...   \n",
+       "383      16.0      3.7     39         24.5            18     SP98   0     0   \n",
+       "384      16.1      4.3     38         25.0            31     SP98   1     0   \n",
+       "385      16.0      3.8     45         25.0            19     SP98   0     0   \n",
+       "386      15.4      4.6     42         25.0            31     SP98   1     0   \n",
+       "387      14.7      5.0     25         25.0            30     SP98   1     0   \n",
+       "\n",
+       "     sun  gas_type_coded  price_min  price_mean  price_max  consume_price_min  \\\n",
+       "0      0               0      1.083       1.379      1.491               5.42   \n",
+       "1      0               0      1.083       1.379      1.491               4.55   \n",
+       "2      0               0      1.083       1.379      1.491               5.96   \n",
+       "3      0               0      1.083       1.379      1.491               4.22   \n",
+       "4      0               0      1.083       1.379      1.491               4.87   \n",
+       "..   ...             ...        ...         ...        ...                ...   \n",
+       "383    0               1      1.188       1.537      1.645               4.40   \n",
+       "384    0               1      1.188       1.537      1.645               5.11   \n",
+       "385    0               1      1.188       1.537      1.645               4.51   \n",
+       "386    0               1      1.188       1.537      1.645               5.46   \n",
+       "387    0               1      1.188       1.537      1.645               5.94   \n",
+       "\n",
+       "     consume_price_mean  consume_price_max  \n",
+       "0                  6.90               7.46  \n",
+       "1                  5.79               6.26  \n",
+       "2                  7.58               8.20  \n",
+       "3                  5.38               5.81  \n",
+       "4                  6.21               6.71  \n",
+       "..                  ...                ...  \n",
+       "383                5.69               6.09  \n",
+       "384                6.61               7.07  \n",
+       "385                5.84               6.25  \n",
+       "386                7.07               7.57  \n",
+       "387                7.68               8.22  \n",
+       "\n",
+       "[388 rows x 16 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "continent-rover",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df.to_csv('dataset/df_rich.csv', index = False)"
+   ]
+  }
+ ],
+ "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": "3.8.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/4- Models.ipynb b/4- Models.ipynb
new file mode 100644
index 0000000..df330cd
--- /dev/null
+++ b/4- Models.ipynb	
@@ -0,0 +1,943 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "found-fruit",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Importing libraries\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "from sklearn.linear_model import Ridge, Lasso\n",
+    "from sklearn.linear_model import SGDRegressor\n",
+    "from sklearn.neighbors import KNeighborsRegressor\n",
+    "from sklearn.ensemble import GradientBoostingRegressor\n",
+    "from sklearn.tree import DecisionTreeRegressor \n",
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    "from sklearn.linear_model import LinearRegression\n",
+    "\n",
+    "from sklearn import metrics\n",
+    "from sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error, mean_squared_log_error\n",
+    "\n",
+    "from sklearn.model_selection import GridSearchCV\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "tough-safety",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# reading the enriched csv\n",
+    "df = pd.read_csv('dataset/df_rich.csv')\n",
+    "\n",
+    "# we have a categorical column (gas_type) but we had already categorilized it on the column \"gas_type_coded\"\n",
+    "# E10 = 0 /// SP98 = 1\n",
+    "df = df.drop(['gas_type'], axis = 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "emerging-single",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# split dataset in X and y for supervised learning\n",
+    "X = df.drop(['consume'], axis = 1)\n",
+    "y = df.consume"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "ranking-turning",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# split dataset in train and test\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "vulnerable-ethiopia",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X_train shape is: (310, 14)\n",
+      "y_train shape is: (310,)\n",
+      "X_test shape is: (78, 14)\n",
+      "y_test shape is: (78,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# checking the split has been done correctly\n",
+    "print(f'X_train shape is:', X_train.shape)\n",
+    "print(f'y_train shape is:', y_train.shape)\n",
+    "print(f'X_test shape is:', X_test.shape)\n",
+    "print(f'y_test shape is:', y_test.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "solid-sheriff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# we decided to use different models\n",
+    "models = {\"linear\": LinearRegression(),\n",
+    "          \"ridge\": Ridge(),\n",
+    "          \"lasso\": Lasso(),\n",
+    "          \"knn\": KNeighborsRegressor(),\n",
+    "          \"gradient\": GradientBoostingRegressor(),\n",
+    "          \"tree\": DecisionTreeRegressor(),\n",
+    "          \"forest\": RandomForestRegressor()}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "crucial-timing",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--linear--\n",
+      "MAE: 0.011442266315568364\n",
+      "MSE: 0.00017696276549505048\n",
+      "RMSE: 0.013302735263661021\n",
+      "R2: 0.9997197596300553\n",
+      "--ridge--\n",
+      "MAE: 0.02329147139100728\n",
+      "MSE: 0.0009357484087630585\n",
+      "RMSE: 0.03059000504679688\n",
+      "R2: 0.9985181375329817\n",
+      "--lasso--\n",
+      "MAE: 0.3446671239515349\n",
+      "MSE: 0.21755444464092116\n",
+      "RMSE: 0.4664273197840379\n",
+      "R2: 0.6554781573472768\n",
+      "--knn--\n",
+      "MAE: 0.35025641025641036\n",
+      "MSE: 0.20773333333333333\n",
+      "RMSE: 0.4557777236036589\n",
+      "R2: 0.6710309876752085\n",
+      "--gradient--\n",
+      "MAE: 0.025980080420087245\n",
+      "MSE: 0.003585584360863322\n",
+      "RMSE: 0.05987974917168009\n",
+      "R2: 0.9943218253571866\n",
+      "--tree--\n",
+      "MAE: 0.011538461538461732\n",
+      "MSE: 0.0029487179487179527\n",
+      "RMSE: 0.054302098934736885\n",
+      "R2: 0.9953303746892773\n",
+      "--forest--\n",
+      "MAE: 0.014205128205128674\n",
+      "MSE: 0.0019382307692307466\n",
+      "RMSE: 0.04402534235222648\n",
+      "R2: 0.9969305943751058\n"
+     ]
+    }
+   ],
+   "source": [
+    "# we fit our models and get the metrics for each one\n",
+    "for name, model in models.items():\n",
+    "    print(f\"--{name}--\")\n",
+    "    model.fit(X_train,y_train)\n",
+    "    y_pred = model.predict(X_test)\n",
+    "    print(\"MAE:\", metrics.mean_absolute_error(y_test, y_pred))\n",
+    "    print(\"MSE:\", metrics.mean_squared_error(y_test,y_pred))\n",
+    "    print(\"RMSE:\", np.sqrt(metrics.mean_squared_error(y_test,y_pred)))\n",
+    "    print(\"R2:\", metrics.r2_score(y_test,y_pred))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cooperative-electric",
+   "metadata": {},
+   "source": [
+    "# Ridge model\n",
+    "\n",
+    "### This model presents a very high fit with a R squared really near to 1 (0,998) and mean errors (MAE, MSE, RMSE) tending to zero"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "crazy-lover",
+   "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>gas_type</th>\n",
+       "      <th>consume_real</th>\n",
+       "      <th>consume_predicted</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>279</th>\n",
+       "      <td>SP98</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>4.500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>34</th>\n",
+       "      <td>E10</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>4.288</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>290</th>\n",
+       "      <td>SP98</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>4.100</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>212</th>\n",
+       "      <td>SP98</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>5.528</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>246</th>\n",
+       "      <td>E10</td>\n",
+       "      <td>5.7</td>\n",
+       "      <td>5.680</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    gas_type  consume_real  consume_predicted\n",
+       "279     SP98           4.5              4.500\n",
+       "34       E10           4.3              4.288\n",
+       "290     SP98           4.1              4.100\n",
+       "212     SP98           5.5              5.528\n",
+       "246      E10           5.7              5.680"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Training the model again independently, in order to get a dataframe to plot\n",
+    "ridge = Ridge()\n",
+    "ridge = ridge.fit(X_train, y_train)\n",
+    "y_pred = model.predict(X_test)\n",
+    "\n",
+    "ridge_df = pd.DataFrame({'gas_type':X_test['gas_type_coded'].apply(lambda x: 'E10' if x == 0 else 'SP98'),\n",
+    "                         'consume_real':y_test,\n",
+    "                         'consume_predicted': y_pred})\n",
+    "ridge_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "cooperative-georgia",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (12, 8))\n",
+    "ridge_plot = sns.regplot(x = ridge_df.consume_real,\n",
+    "                         y = ridge_df.consume_predicted,\n",
+    "                         color = 'g',\n",
+    "                         marker = 'x')\n",
+    "\n",
+    "ridge_plot.set(xlabel = 'Real', \n",
+    "               ylabel = 'Predicted',\n",
+    "               title = 'Ridge model fit: real vs predicted');\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "outdoor-minute",
+   "metadata": {},
+   "source": [
+    "### As Ridge regression is a method of estimating the coefficients of multiple-regression models in scenarios where independent variables are highly correlated, we would like to check if it is so fitted because of the enrichment of the dataset. \n",
+    "\n",
+    "So we are replicating the previous code with the clean (but not enriched) dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "narrow-minute",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "--linear--\n",
+      "MAE: 0.6082772048467537\n",
+      "MSE: 0.7556591974854234\n",
+      "RMSE: 0.8692866026147092\n",
+      "R2: 0.20805504035986166\n",
+      "--ridge--\n",
+      "MAE: 0.6091107976152826\n",
+      "MSE: 0.7561722543636066\n",
+      "RMSE: 0.8695816547993677\n",
+      "R2: 0.20751734716425452\n",
+      "--lasso--\n",
+      "MAE: 0.6538521964080044\n",
+      "MSE: 0.8455342052775158\n",
+      "RMSE: 0.919529338997683\n",
+      "R2: 0.11386435273849027\n",
+      "--knn--\n",
+      "MAE: 0.40333333333333343\n",
+      "MSE: 0.30335897435897446\n",
+      "RMSE: 0.5507803322187299\n",
+      "R2: 0.6820741261343198\n",
+      "--gradient--\n",
+      "MAE: 0.42100643504807234\n",
+      "MSE: 0.3880785749231158\n",
+      "RMSE: 0.6229595291213674\n",
+      "R2: 0.5932864016246983\n",
+      "--tree--\n",
+      "MAE: 0.5666666666666667\n",
+      "MSE: 0.5612820512820512\n",
+      "RMSE: 0.7491875941858963\n",
+      "R2: 0.4117659218223536\n",
+      "--forest--\n",
+      "MAE: 0.36585498575498565\n",
+      "MSE: 0.24273140563469434\n",
+      "RMSE: 0.4926777908884206\n",
+      "R2: 0.7456129510784256\n"
+     ]
+    }
+   ],
+   "source": [
+    "# reading the clean csv (not enriched yet)\n",
+    "df = pd.read_csv('dataset/df_clean.csv')\n",
+    "\n",
+    "# we have a categorical column (gas_type) but we had already categorilized it on the column \"gas_type_coded\"\n",
+    "# E10 = 0 /// SP98 = 1\n",
+    "df = df.drop(['gas_type'], axis = 1)\n",
+    "\n",
+    "# split dataset in X and y for supervised learning\n",
+    "X = df.drop(['consume'], axis = 1)\n",
+    "y = df.consume\n",
+    "\n",
+    "# split dataset in train and test\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2)\n",
+    "\n",
+    "# we decided to use different models\n",
+    "models = {\"linear\": LinearRegression(),\n",
+    "          \"ridge\": Ridge(),\n",
+    "          \"lasso\": Lasso(),\n",
+    "          \"knn\": KNeighborsRegressor(),\n",
+    "          \"gradient\": GradientBoostingRegressor(),\n",
+    "          \"tree\": DecisionTreeRegressor(),\n",
+    "          \"forest\": RandomForestRegressor()}\n",
+    "\n",
+    "# we fit our models and get the metrics for each one\n",
+    "for name, model in models.items():\n",
+    "    print(f\"--{name}--\")\n",
+    "    model.fit(X_train,y_train)\n",
+    "    y_pred = model.predict(X_test)\n",
+    "    print(\"MAE:\", metrics.mean_absolute_error(y_test, y_pred))\n",
+    "    print(\"MSE:\", metrics.mean_squared_error(y_test,y_pred))\n",
+    "    print(\"RMSE:\", np.sqrt(metrics.mean_squared_error(y_test,y_pred)))\n",
+    "    print(\"R2:\", metrics.r2_score(y_test,y_pred))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "solid-hospital",
+   "metadata": {},
+   "source": [
+    "After checking that there was overfitting due to the fact that enrichment columns were a multiplication of the values contained in X and y, we decided to go on with **K Nearest Neighbours** despite it is more used for classification than for regression as it has the higher R squared. As well, we will also search for better parameters for **gradient boosting** and **random forest** models."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "revised-month",
+   "metadata": {},
+   "source": [
+    "# Grid search: looking for parameters values in order to improve our model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "incredible-observer",
+   "metadata": {},
+   "source": [
+    "### K Nearest Neighbours"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "perceived-eclipse",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "knn = KNeighborsRegressor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "cutting-committee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Hyperparameter optimization \n",
+    "parameters = {'n_neighbors': [2, 3, 4, 5],\n",
+    "              'weights': ['uniform','distance'],\n",
+    "              'leaf_size': [15, 30, 50]}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "ethical-pressing",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\ngrid = GridSearchCV(knn, parameters, verbose = 1)\\ngrid.fit(X_train,y_train)\\n\\n# Print best params for KNN model\\nprint(grid.best_params_)\\n'"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# we keep this code commented to avoid running it constant\n",
+    "'''\n",
+    "grid = GridSearchCV(knn, parameters, verbose = 1)\n",
+    "grid.fit(X_train,y_train)\n",
+    "\n",
+    "# Print best params for KNN model\n",
+    "print(grid.best_params_)\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "handmade-charlotte",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MAE: 0.40333333333333343\n",
+      "MSE: 0.30335897435897446\n",
+      "RMSE: 0.5507803322187299\n",
+      "R2: 0.6820741261343198\n"
+     ]
+    }
+   ],
+   "source": [
+    "knn_grid = KNeighborsRegressor(leaf_size = 15,\n",
+    "                               n_neighbors = 5, \n",
+    "                               weights = 'uniform')\n",
+    "\n",
+    "knn_grid = knn_grid.fit(X_train,y_train)\n",
+    "y_pred = knn_grid.predict(X_test)\n",
+    "\n",
+    "print(\"MAE:\", metrics.mean_absolute_error(y_test, y_pred))\n",
+    "print(\"MSE:\", metrics.mean_squared_error(y_test,y_pred))\n",
+    "print(\"RMSE:\", np.sqrt(metrics.mean_squared_error(y_test,y_pred)))\n",
+    "print(\"R2:\", metrics.r2_score(y_test,y_pred))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "underlying-athletics",
+   "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>gas_type</th>\n",
+       "      <th>consume_real</th>\n",
+       "      <th>consume_predicted</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>353</th>\n",
+       "      <td>SP98</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>4.312364</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>E10</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>4.937630</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>107</th>\n",
+       "      <td>SP98</td>\n",
+       "      <td>6.5</td>\n",
+       "      <td>6.430771</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>171</th>\n",
+       "      <td>E10</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>4.894826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>43</th>\n",
+       "      <td>E10</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>4.938153</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    gas_type  consume_real  consume_predicted\n",
+       "353     SP98           3.7           4.312364\n",
+       "6        E10           4.4           4.937630\n",
+       "107     SP98           6.5           6.430771\n",
+       "171      E10           4.8           4.894826\n",
+       "43       E10           4.3           4.938153"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# create a new df with the real consume and the predicted consume, in order to plot it\n",
+    "knn_df = pd.DataFrame({'gas_type':X_test['gas_type_coded'].apply(lambda x: 'E10' if x == 0 else 'SP98'),\n",
+    "                         'consume_real':y_test,\n",
+    "                         'consume_predicted': y_pred})\n",
+    "knn_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "incorporate-ground",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize = (12, 8))\n",
+    "knn_plot = sns.regplot(x = knn_df.consume_real,\n",
+    "                         y = knn_df.consume_predicted,\n",
+    "                         color = 'g',\n",
+    "                         marker = 'x')\n",
+    "\n",
+    "knn_plot.set(xlabel = 'Real', \n",
+    "               ylabel = 'Predicted',\n",
+    "               title = 'K Neighbors Regressor model fit: real vs predicted');\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "antique-stable",
+   "metadata": {},
+   "source": [
+    "## Random Forest Regressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "potential-technical",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "forest = RandomForestRegressor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "intellectual-roads",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Hyperparameter optimization \n",
+    "parameters = {'n_estimators': [10, 25, 50, 100, 250, 400],\n",
+    "             'criterion': ['mse', 'mae'],\n",
+    "             'max_depth': [1, 2, 3, 4],\n",
+    "              'min_samples_leaf': [1, 2, 3, 4],\n",
+    "              'max_features': ['auto', 'sqrt', 'log2'],\n",
+    "             'bootstrap': ['True', 'False']}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "chinese-reverse",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\ngrid = GridSearchCV(forest, parameters, verbose = 1)\\ngrid.fit(X_train,y_train)\\n\\n# Print best params for random forest model\\nprint(grid.best_params_)\\n\\n'"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# we keep this code commented to avoid running it constant\n",
+    "'''\n",
+    "grid = GridSearchCV(forest, parameters, verbose = 1)\n",
+    "grid.fit(X_train,y_train)\n",
+    "\n",
+    "# Print best params for random forest model\n",
+    "print(grid.best_params_)\n",
+    "\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "particular-motorcycle",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MAE: 0.44435374718132375\n",
+      "MSE: 0.34561567944148597\n",
+      "RMSE: 0.5878908737525068\n",
+      "R2: 0.6377883095751423\n"
+     ]
+    }
+   ],
+   "source": [
+    "forest_grid = RandomForestRegressor(bootstrap = True, \n",
+    "                                    criterion = 'mse',\n",
+    "                                    max_depth = 4,\n",
+    "                                    max_features = 'log2',\n",
+    "                                    min_samples_leaf = 3,\n",
+    "                                    n_estimators = 50)\n",
+    "\n",
+    "forest_grid = forest_grid.fit(X_train,y_train)\n",
+    "y_pred = forest_grid.predict(X_test)\n",
+    "\n",
+    "print(\"MAE:\", metrics.mean_absolute_error(y_test, y_pred))\n",
+    "print(\"MSE:\", metrics.mean_squared_error(y_test,y_pred))\n",
+    "print(\"RMSE:\", np.sqrt(metrics.mean_squared_error(y_test,y_pred)))\n",
+    "print(\"R2:\", metrics.r2_score(y_test,y_pred))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "lyric-speaking",
+   "metadata": {},
+   "source": [
+    "## Gradient Boosting Regressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "figured-negative",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "gradient = GradientBoostingRegressor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "close-armstrong",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Hyperparameter optimization \n",
+    "parameters = {'loss': ['ls', 'lad', 'huber', 'quantile'],\n",
+    "              'n_estimators': ['10', '25', '50', '100', '250', '400'],\n",
+    "              'criterion': ['friendman_mse','mse', 'mae'], \n",
+    "              'subsample': [0.9, 1.0, 1.1],\n",
+    "              'max_depth': [1, 2, 3, 4, 5],\n",
+    "              'min_samples_leaf': [1, 2, 3, 4],\n",
+    "              'max_features': ['auto', 'sqrt', 'log2']}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "respective-inspection",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\ngrid = GridSearchCV(gradient, parameters, verbose = 1)\\ngrid.fit(X_train,y_train)\\n\\n# Print best params for gradient boosting\\nprint(grid.best_params_)\\n'"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# we keep this code commented to avoid running it constant\n",
+    "'''\n",
+    "grid = GridSearchCV(gradient, parameters, verbose = 1)\n",
+    "grid.fit(X_train,y_train)\n",
+    "\n",
+    "# Print best params for gradient boosting\n",
+    "print(grid.best_params_)\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "controversial-seller",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MAE: 0.5798885809778862\n",
+      "MSE: 0.547979235212322\n",
+      "RMSE: 0.740256195659531\n",
+      "R2: 0.42570752164737935\n"
+     ]
+    }
+   ],
+   "source": [
+    "gradient_grid = GradientBoostingRegressor(criterion='friedman_mse',\n",
+    "                                          loss = 'ls',\n",
+    "                                          max_depth = 1,\n",
+    "                                          max_features = 'auto',\n",
+    "                                          min_samples_leaf = 1,\n",
+    "                                          n_estimators = 10,\n",
+    "                                          subsample = 0.9)\n",
+    "\n",
+    "gradient_grid = gradient_grid.fit(X_train,y_train)\n",
+    "y_pred = gradient_grid.predict(X_test)\n",
+    "\n",
+    "print(\"MAE:\", metrics.mean_absolute_error(y_test, y_pred))\n",
+    "print(\"MSE:\", metrics.mean_squared_error(y_test,y_pred))\n",
+    "print(\"RMSE:\", np.sqrt(metrics.mean_squared_error(y_test,y_pred)))\n",
+    "print(\"R2:\", metrics.r2_score(y_test,y_pred))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "economic-metabolism",
+   "metadata": {},
+   "source": [
+    "# Decision Tree Regressor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "charming-painting",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "tree = DecisionTreeRegressor()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "straight-washer",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Hyperparameter optimization \n",
+    "parameters = {'criterion': ['mse', 'friendman_mse', 'mae', 'poisson'],\n",
+    "              'max_depth': [1, 2, 3, 4],\n",
+    "              'max_features': ['auto', 'sqrt', 'log2']}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "greater-budapest",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\ngrid = GridSearchCV(tree, parameters, verbose = 1)\\ngrid.fit(X_train,y_train)\\n\\n# Print best params for decision tree\\nprint(grid.best_params_)\\n'"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# we keep this code commented to avoid running it constant\n",
+    "'''\n",
+    "grid = GridSearchCV(tree, parameters, verbose = 1)\n",
+    "grid.fit(X_train,y_train)\n",
+    "\n",
+    "# Print best params for decision tree\n",
+    "print(grid.best_params_)\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "brown-ethics",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "MAE: 0.45719901831046283\n",
+      "MSE: 0.36159613839840105\n",
+      "RMSE: 0.6013286442523764\n",
+      "R2: 0.6210404899683954\n"
+     ]
+    }
+   ],
+   "source": [
+    "tree_grid = GradientBoostingRegressor(criterion = 'mae',\n",
+    "                                          max_depth = 4,\n",
+    "                                          max_features = 'log2')\n",
+    "\n",
+    "tree_grid = forest_grid.fit(X_train,y_train)\n",
+    "y_pred = forest_grid.predict(X_test)\n",
+    "\n",
+    "print(\"MAE:\", metrics.mean_absolute_error(y_test, y_pred))\n",
+    "print(\"MSE:\", metrics.mean_squared_error(y_test,y_pred))\n",
+    "print(\"RMSE:\", np.sqrt(metrics.mean_squared_error(y_test,y_pred)))\n",
+    "print(\"R2:\", metrics.r2_score(y_test,y_pred))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "regulated-patrol",
+   "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": "3.8.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/5- Rest API.ipynb b/5- Rest API.ipynb
new file mode 100644
index 0000000..363fcab
--- /dev/null
+++ b/5- Rest API.ipynb	
@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Cobify.ipynb b/Cobify.ipynb
new file mode 100644
index 0000000..7054044
--- /dev/null
+++ b/Cobify.ipynb
@@ -0,0 +1,222 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "packed-disney",
+   "metadata": {},
+   "source": [
+    "# Cobify aim\n",
+    "\n",
+    "Cobify is a company dedicated to transporting people, characterized by operating without a license of any kind and\n",
+    "by the use of high-end rigged cars. \n",
+    "\n",
+    "Cobify has been using gasoline with a high cetane index such as SP98 to avoid delays / advance in fuel injection (avoiding crankshaft)for the rigged cars. However, they wonder if it would be more profitable the use of fuels that add ethanol in their formulations are cheaper and offer the same cetane number as the more expensive gasoline, as E10. \n",
+    "\n",
+    "Through this analysis, we seek to answer the question:\n",
+    "##  <span style=\"color:blue\"> What kind of fuel should Cobify use for rigged cars? </span>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "compact-invalid",
+   "metadata": {},
+   "source": [
+    "# Analysis\n",
+    "\n",
+    "### Cleaning\n",
+    "\n",
+    "For this analysis we have cleaned the dataset [dataset provided by Cobify](https://www.kaggle.com/anderas/car-consume?select=measurements.csv) using _Pandas_. It turned out to be pretty clean.\n",
+    "\n",
+    "We find a 12 column dataset, with 388 rows. Each row give us information about one different trip, including distance, consume, average speed, temperature inside, temperature outside, special data (about weather), the gas type used, if the air conditioner was on/off, if it was raining or sunny, and the refilled of gas\n",
+    "\n",
+    "Columns _refill liters_, _refill gas_ and _specials_ have a wide range of NAN values (97%, 97% and 76% of nan values respectively), and they didn't give us relevant information so we decided to drop them.\n",
+    "\n",
+    "Regarding the _temperature inside the car_, 3% of our data were null, so we decided to replace it for the average temperature. \n",
+    "\n",
+    "Also, we coded the _gasoline type_ into a numeric category.\n",
+    "\n",
+    "### Relations and Visualization\n",
+    "\n",
+    "Through a correlation matrix and a heat map we find that there was not a high correlation between variables.\n",
+    "![matrix](./Images/matrix.png)\n",
+    "\n",
+    "Despite of it, we decided to take a closer look at the highest correlation _speed - distance._\n",
+    "- Distances over 50km usually mean higher speed\n",
+    "- Long distances are been drived more often using SP98 rather than E10\n",
+    "![speed-distance](./Images/speed-distance.png)\n",
+    "\n",
+    "We would like to see if there is any specific difference in means by gasoline type, and we find that despite a higher speed uses to correlate inversely with consume, **E10 shows a higher mean for speed and for consume.**\n",
+    "Besides it, SP98 show a higher mean-values in the temperature (specially outside), the use of air conditioner (probably related to the higher temperatures outside) and variability of the weather.\n",
+    "\n",
+    "We center the analysis in the **difference of consume** in both gas types, starting with a general view:\n",
+    "- Mean consume with E10 is kept more stable (less variable) than with SP98\n",
+    "- Mean consume is a little bit higher with E10\n",
+    "- Variability in SP98 consume must be caused by other factors (more outliers, and more spreaded)\n",
+    "![consume](./Images/consume.png)\n",
+    "\n",
+    "After analysing relation between consume and distance, some insights were found:\n",
+    "- Consume decreases with longer distances, independently of the gasoline type\n",
+    "- The consume of SP98 keeps more stable in large distances than the E10\n",
+    "- For distances between 40-55 km, could be recommeded to use E10\n",
+    "![distances](./Images/distance.png)\n",
+    "\n",
+    "The analysis of speed and consume does not reveal information of interest\n",
+    "- Higher consume when the speed is lower, in both gases type\n",
+    "![speed](./Images/speed.png)\n",
+    "\n",
+    "Relationship of consume with the temperature inside and outside of the car\n",
+    "- Higher consume with SP98 when the temperature inside the car is 23,5\n",
+    "- Consume with E10 is lower than with SP98 until 24,5º \n",
+    "- Doesn't seem to be a difference between gas types related to the temperature outside the car\n",
+    "\n",
+    "|Temperature inside the car | Temperature outside the car|\n",
+    "|:-------------------:|:-------------------:|\n",
+    "|![temp_inside](./Images/temp_inside.png)  |  ![temp_outside](./Images/temp_out.png)|\n",
+    "\n",
+    "Related to the temperature, we have studied the variances with the air conditioner ON/OFF, with the expected results\n",
+    "- Without air conditioner, the consume is almost equal between both gas types (a little bit higher with E10)\n",
+    "- With the air conditioner connected, the consume of both increases slightly, growing more for SP98\n",
+    "![AC](./Images/ac.png)\n",
+    "\n",
+    "After the comparison in sunny days and rainy days for both types of gasoline, we see that the variability of the climate influences more on the driving carried out with SP98\n",
+    "- Without sun, the consume is almost the same for both types\n",
+    "- In sunny days, the consume is decreased for both, specially for SP98\n",
+    "\n",
+    "- Without rain, the consume is slightly higher with E10\n",
+    "- This little difference decreases with rain, bringing both types closer together\n",
+    "\n",
+    "|Sun | Rain |\n",
+    "|:-------------------:|:-------------------:|\n",
+    "|![sun](./Images/sun.png)|![rain](./Images/rain.png)|\n",
+    "\n",
+    "### Enrichment of current gasoline price\n",
+    "\n",
+    "Cobify team knows that the general prices are 1,38€/liter for E10 and 1,46€/liter for SP98.\n",
+    "If we calculate the cost we incur in gasoline taking into account the consumption and the price given by the Cobify team, we obtain that:\n",
+    "- Price for mean consume driving with E10 is 6.81\n",
+    "- Price for mean consume driving with SP98 is 7.15   \n",
+    "\n",
+    "\n",
+    "**Despite the car consumes E10 faster than SP98, the price difference shows that using E10 is profitable**.\n",
+    "\n",
+    "However, as we want to do a real comparison and get to know which one do we should use, could be interesting know the *current price* of each one in Spain. \n",
+    "\n",
+    "We carry out a webscraping of the [clickgasoil page](https://www.clickgasoil.com/) to obtain the minimum, maximum and average price of both fuels updated daily. We define a function that will allow us to keep this data up to date.\n",
+    "\n",
+    "This information has allowed us to make a real calculation of consume by filling the gasoil today, \n",
+    "letting us know if there is any change and allowing us to change the gasoline if necessary.\n",
+    "\n",
+    "> Min consume with E10  price today is 5.34   \n",
+    "> Min consume with SP98 price today is 5.86\n",
+    "\n",
+    "> Mean consume with E10  price today is 6.8   \n",
+    "> Mean consume with SP98 price today is 7.58\n",
+    "\n",
+    "> Max consume with E10  price today is 7.35   \n",
+    "> Max consume with SP98 price today is 8.11\n",
+    "\n",
+    "In all cases price/consume of E10 is lower. \n",
+    "SP98 increases price in, at least, a 10% respect to the E10.\n",
+    "\n",
+    "### Predicting Consume\n",
+    "\n",
+    "As we already have the updated price, we would like to be able to predict the consume in different circumstances.\n",
+    "In order to predice the gasoil consume we fit different models and get the metrics for each one:\n",
+    "- Linear Regression\n",
+    "- Ridge\n",
+    "- Lasso\n",
+    "- K Neighbors Regressor\n",
+    "- Gradient Boosting Regressor\n",
+    "- Decision Tree Regressor\n",
+    "- Random Forest Regressor\n",
+    "\n",
+    "During the first fitting using the enriched dataset, the Ridge model presents a very high fit with a R squared really near to 1 (0,998) and mean errors (MAE, MSE, RMSE) tending to zero.\n",
+    "![ridge](./Images/ridge.png)\n",
+    "\n",
+    "As Ridge is a method of estimating the coefficients of multiple-regression models in scenarios where independent variables are highly correlated, _we would like to check if it is so fitted because of the enrichment of the dataset_. So we are replicating the previous code with the clean (but not enriched) dataset.\n",
+    "\n",
+    "After checking that there was overfitting due to the fact that enrichment columns were a multiplication of the values contained in X and y, we decided to go on with K Nearest Neighbours despite it is more used for classification than for regression as it has the higher R squared. As well, we will also search for better parameters for gradient boosting, random forest and decision tree models.\n",
+    "\n",
+    "There was used grid search in order to choose a set of optimal hyperparameters for those learning algorithms.   \n",
+    "After training the models, we obtain the following results:\n",
+    "> **K Neighbors Regressor**    \n",
+    "MAE: 0.403      \n",
+    "MSE: 0.303    \n",
+    "RMSE: 0.550 \n",
+    "R2: 0.682   \n",
+    "\n",
+    "> **Random Forest Regressor**    \n",
+    "MAE: 0.444     \n",
+    "MSE: 0.345     \n",
+    "RMSE: 0.587    \n",
+    "R2: 0.637  \n",
+    "\n",
+    "> **Decision Tree Regressor**    \n",
+    "MAE: 0.457   \n",
+    "MSE: 0.361   \n",
+    "RMSE: 0.601   \n",
+    "R2: 0.621   \n",
+    "\n",
+    "> **Gradient Boosting Regressor**    \n",
+    "MAE: 0.579   \n",
+    "MSE: 0.547   \n",
+    "RMSE: 0.740   \n",
+    "R2: 0.425     \n",
+    "\n",
+    "With a 0.68 of the variance explained and a mean absolute error of 0.4 _(we have use MAE because it's robust to the outliers we have to the outliers that we had detected in the previous inspection of the data)_, the *K Neighbors Regressor* is the model that we have choose for the prediction of the consume.\n",
+    "\n",
+    "![knn](./Images/knn.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "descending-porter",
+   "metadata": {},
+   "source": [
+    "# Conclusion\n",
+    "## <span style=\"color:blue\"> We recommend changing the gasoil to E10  </span>\n",
+    "\n",
+    "- In all cases price/consume of E10 is lower. SP98 increases price in a 10-11%\n",
+    "- Even if mean consume is a little bit higher with E10, is kept more stable (less affected by climate factors) than with SP98"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "confused-salad",
+   "metadata": {},
+   "source": [
+    "# Technologies\n",
+    "- Python 3.8.5\n",
+    "- Pandas\n",
+    "- Numpy\n",
+    "- Seaborn\n",
+    "- Matplotlib\n",
+    "- Requests\n",
+    "- BeautifulSoup\n",
+    "- Regular Expressions\n",
+    "- Sklearn"
+   ]
+  }
+ ],
+ "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": "3.8.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
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