PCA_and_tSNE_Case_Study.ipynb

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    "# **PCA and t-SNE Project: Auto MPG**\n",
    "\n",
    "\n",
    "Welcome to the project on PCA and t-SNE. In this project, we will be using the **auto-mpg dataset**.\n",
    "\n",
    "-----------------------------\n",
    "## **Objective**\n",
    "-----------------------------\n",
    "The objective of this problem is to **explore the data, reduce the number of features by using dimensionality reduction techniques like PCA and t-SNE, and extract meaningful insights**.\n",
    "\n",
    "-----------------------------\n",
    "## **Dataset** \n",
    "-----------------------------\n",
    "There are 8 variables in the data: \n",
    "\n",
    "- mpg: miles per gallon\n",
    "- cyl: number of cylinders\n",
    "- disp: engine displacement (cu. inches) or engine size\n",
    "- hp: horsepower\n",
    "- wt: vehicle weight (lbs.)\n",
    "- acc: time taken to accelerate from 0 to 60 mph (sec.)\n",
    "- yr: model year\n",
    "- car name: car model name"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "e7YUSFfGu4Du"
   },
   "source": [
    "## **Importing the necessary libraries and overview of the dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "aVFeA7eWu4Dv"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import seaborn as sns\n",
    "\n",
    "# To scale the data using z-score \n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "# Importing PCA and t-SNE\n",
    "from sklearn.decomposition import PCA\n",
    "\n",
    "from sklearn.manifold import TSNE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "g2bXBiAivujY"
   },
   "source": [
    "### **Loading the data**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "MuQU1BD-u4Dx"
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"auto-mpg.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "KczGshrVu4Dy",
    "outputId": "f93467ba-526b-4d6c-e0cd-b45a565bcf5d"
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model year</th>\n",
       "      <th>car name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>chevrolet chevelle malibu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>buick skylark 320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>plymouth satellite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>amc rebel sst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>ford torino</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mpg  cylinders  displacement horsepower  weight  acceleration  model year  \\\n",
       "0  18.0          8         307.0        130    3504          12.0          70   \n",
       "1  15.0          8         350.0        165    3693          11.5          70   \n",
       "2  18.0          8         318.0        150    3436          11.0          70   \n",
       "3  16.0          8         304.0        150    3433          12.0          70   \n",
       "4  17.0          8         302.0        140    3449          10.5          70   \n",
       "\n",
       "                    car name  \n",
       "0  chevrolet chevelle malibu  \n",
       "1          buick skylark 320  \n",
       "2         plymouth satellite  \n",
       "3              amc rebel sst  \n",
       "4                ford torino  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "sTXXY0cVvuja"
   },
   "source": [
    "### **Checking the info of the data**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "iNuAIXhqvuja",
    "outputId": "9b8f4ee0-1f3c-4cb0-acbe-6ec39b89b859"
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   "outputs": [
    {
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     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 398 entries, 0 to 397\n",
      "Data columns (total 8 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   mpg           398 non-null    float64\n",
      " 1   cylinders     398 non-null    int64  \n",
      " 2   displacement  398 non-null    float64\n",
      " 3   horsepower    398 non-null    object \n",
      " 4   weight        398 non-null    int64  \n",
      " 5   acceleration  398 non-null    float64\n",
      " 6   model year    398 non-null    int64  \n",
      " 7   car name      398 non-null    object \n",
      "dtypes: float64(3), int64(3), object(2)\n",
      "memory usage: 25.0+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yfUl_sjHvujb"
   },
   "source": [
    "**Observations:**\n",
    "\n",
    "- There are **398 observations and 8 columns** in the data.\n",
    "- **All variables except horsepower and car name are of numeric data type.**\n",
    "- The horsepower must be a numeric data type. We will explore this further."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1B_nVTGSvujb"
   },
   "source": [
    "## **Data Preprocessing and Exploratory Data Analysis**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Checking the unique values in the 'car name' column**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "xwmALVCRvujb",
    "outputId": "7d593b59-02d9-4612-8f44-acac854c64dd"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "305"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"car name\"].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HtksWvFgu4Dz"
   },
   "source": [
    "- The column 'car name' is of object data type containing a lot of unique entries and would not add values to our analysis. We can drop this column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "x_gzOWz7u4D0"
   },
   "outputs": [],
   "source": [
    "# Creating copy of the data so that we don't lose the original data\n",
    "data1 = data.copy()\n",
    "\n",
    "# Dropping the column 'car name'\n",
    "data = data.drop(['car name'], axis = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5h4vat2Wvujc"
   },
   "source": [
    "### **Checking values in the horsepower column**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "S7lk2lGQvujc",
    "outputId": "49039370-367d-424a-dd3e-ada47832ce3e"
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       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
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       "      <td>2046</td>\n",
       "      <td>19.0</td>\n",
       "      <td>71</td>\n",
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       "      <th>336</th>\n",
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       "      <td>14.3</td>\n",
       "      <td>80</td>\n",
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       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>34.5</td>\n",
       "      <td>4</td>\n",
       "      <td>100.0</td>\n",
       "      <td>?</td>\n",
       "      <td>2320</td>\n",
       "      <td>15.8</td>\n",
       "      <td>81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>23.0</td>\n",
       "      <td>4</td>\n",
       "      <td>151.0</td>\n",
       "      <td>?</td>\n",
       "      <td>3035</td>\n",
       "      <td>20.5</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "      mpg  cylinders  displacement horsepower  weight  acceleration  \\\n",
       "32   25.0          4          98.0          ?    2046          19.0   \n",
       "126  21.0          6         200.0          ?    2875          17.0   \n",
       "330  40.9          4          85.0          ?    1835          17.3   \n",
       "336  23.6          4         140.0          ?    2905          14.3   \n",
       "354  34.5          4         100.0          ?    2320          15.8   \n",
       "374  23.0          4         151.0          ?    3035          20.5   \n",
       "\n",
       "     model year  \n",
       "32           71  \n",
       "126          74  \n",
       "330          80  \n",
       "336          80  \n",
       "354          81  \n",
       "374          82  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking if there are values other than digits in the column 'horsepower'\n",
    "\n",
    "hpIsDigit = pd.DataFrame(data.horsepower.str.isdigit())  # If the string consists of digits return True else False\n",
    "\n",
    "data[hpIsDigit['horsepower'] == False]   # Take only those rows where horsepower is not a digit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Z1qqm_S0vujd"
   },
   "source": [
    "**Observations:**\n",
    "- There are **6 observations where horsepower is ?**. We can consider these values as **missing values**.\n",
    "- We can **impute these missing values and change the data type** of horsepower column. \n",
    "- First, we need to **replace the ? with np.nan**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "xWvn0LhBvujd",
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       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model year</th>\n",
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       "      <td>98.0</td>\n",
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       "      <th>374</th>\n",
       "      <td>23.0</td>\n",
       "      <td>4</td>\n",
       "      <td>151.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3035</td>\n",
       "      <td>20.5</td>\n",
       "      <td>82</td>\n",
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      "text/plain": [
       "      mpg  cylinders  displacement horsepower  weight  acceleration  \\\n",
       "32   25.0          4          98.0        NaN    2046          19.0   \n",
       "126  21.0          6         200.0        NaN    2875          17.0   \n",
       "330  40.9          4          85.0        NaN    1835          17.3   \n",
       "336  23.6          4         140.0        NaN    2905          14.3   \n",
       "354  34.5          4         100.0        NaN    2320          15.8   \n",
       "374  23.0          4         151.0        NaN    3035          20.5   \n",
       "\n",
       "     model year  \n",
       "32           71  \n",
       "126          74  \n",
       "330          80  \n",
       "336          80  \n",
       "354          81  \n",
       "374          82  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replacing ? with np.nan\n",
    "data = data.replace('?', np.nan)\n",
    "\n",
    "data[hpIsDigit['horsepower'] == False]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "w56loeKtvujd"
   },
   "outputs": [],
   "source": [
    "# Imputing the missing values with the median value of the column horsepower\n",
    "data.horsepower.fillna(data.horsepower.median(), inplace = True)\n",
    "\n",
    "data['horsepower'] = data['horsepower'].astype('float64')  # Converting the horsepower column from object data type to float"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Ejfe_eP4vuje"
   },
   "source": [
    "### **Summary Statistics**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "t_C7ym49vuje"
   },
   "source": [
    "### **Question 1:** \n",
    "- **Check the summary statistics of the data (use the describe function) (1 Mark)**\n",
    "- **Write your observations (1 Mark)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "bK37aYa5vuje",
    "outputId": "129bc052-b1ce-4068-e1cd-294675e97bfc"
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   "outputs": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>398.000000</td>\n",
       "      <td>398.000000</td>\n",
       "      <td>398.000000</td>\n",
       "      <td>398.000000</td>\n",
       "      <td>398.000000</td>\n",
       "      <td>398.000000</td>\n",
       "      <td>398.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>23.514573</td>\n",
       "      <td>5.454774</td>\n",
       "      <td>193.425879</td>\n",
       "      <td>104.304020</td>\n",
       "      <td>2970.424623</td>\n",
       "      <td>15.568090</td>\n",
       "      <td>76.010050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>7.815984</td>\n",
       "      <td>1.701004</td>\n",
       "      <td>104.269838</td>\n",
       "      <td>38.222625</td>\n",
       "      <td>846.841774</td>\n",
       "      <td>2.757689</td>\n",
       "      <td>3.697627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1613.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>70.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>104.250000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>2223.750000</td>\n",
       "      <td>13.825000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>148.500000</td>\n",
       "      <td>93.500000</td>\n",
       "      <td>2803.500000</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>76.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>262.000000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>3608.000000</td>\n",
       "      <td>17.175000</td>\n",
       "      <td>79.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>46.600000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>455.000000</td>\n",
       "      <td>230.000000</td>\n",
       "      <td>5140.000000</td>\n",
       "      <td>24.800000</td>\n",
       "      <td>82.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              mpg   cylinders  displacement  horsepower       weight  \\\n",
       "count  398.000000  398.000000    398.000000  398.000000   398.000000   \n",
       "mean    23.514573    5.454774    193.425879  104.304020  2970.424623   \n",
       "std      7.815984    1.701004    104.269838   38.222625   846.841774   \n",
       "min      9.000000    3.000000     68.000000   46.000000  1613.000000   \n",
       "25%     17.500000    4.000000    104.250000   76.000000  2223.750000   \n",
       "50%     23.000000    4.000000    148.500000   93.500000  2803.500000   \n",
       "75%     29.000000    8.000000    262.000000  125.000000  3608.000000   \n",
       "max     46.600000    8.000000    455.000000  230.000000  5140.000000   \n",
       "\n",
       "       acceleration  model year  \n",
       "count    398.000000  398.000000  \n",
       "mean      15.568090   76.010050  \n",
       "std        2.757689    3.697627  \n",
       "min        8.000000   70.000000  \n",
       "25%       13.825000   73.000000  \n",
       "50%       15.500000   76.000000  \n",
       "75%       17.175000   79.000000  \n",
       "max       24.800000   82.000000  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Write your code here\n",
    "\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "YJB5hRFevuje"
   },
   "source": [
    "**Observations:**\n",
    "\n",
    "* we can see the scale ranges daramtically for each of the features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kNOc_6aZvujf"
   },
   "source": [
    "### **Let's check the distribution and outliers for each column in the data**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Cj6WLN6tvujf"
   },
   "source": [
    "### **Question 2:**\n",
    "- **Create histograms to check the distribution of all the variables (use .hist() attribute) (2 Marks)**\n",
    "- **Create boxplots to visualize the outliers for all the variables (use sns.boxplot()) (2 Marks)**\n",
    "- **Write your observations (2 Marks)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "id": "w21FDMJSvujf",
    "outputId": "9cf6d49d-50bd-4b28-c21c-fb75ad743d32",
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mpg\n",
      "Skew : 0.46\n"
     ]
    },
    {
     "data": {
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9+/cnScaPH59KZfRf8RoAXolm/N3oTDMAAKixf//+LFq0KIsWLRr4AwEAmlkz/m4UmgEAAABADaEZAAAAANQQmgEAAABADaEZAAAAANQQmgEAAABADaEZAAAAANQQmgEAAABADaEZAAAAANQQmgEAAABADaEZAAAAANQQmgEAAABADaEZAAAAANQQmgEAAABAjXFlFwCMbqddfedLXrc6tsi6C5JZHd9K78HKMFb10v30hovKLgEAAIA65EwzAAAAAKghNAMAAACAGkIzAAAAAKghNAMAAACAGkIzAAAAAKghNAMAAACAGkIzAAAAAKghNAMAAACAGkIzAAAAAKhRamjW0dGRSqUy6KutrW3g9qIo0tHRkalTp2bChAlZsGBBHnnkkRIrBgAAAKAZlH6m2VlnnZUnnnhi4Ovhhx8euG3dunVZv359Nm7cmO3bt6etrS0LFy7M3r17S6wYAAAAgEZXemg2bty4tLW1DXyddNJJSZ47y2zDhg255pprsnjx4syaNSubNm3Kvn37snnz5pKrBgAAAKCRlR6a/fjHP87UqVMzY8aMvP/9789PfvKTJMnOnTvT3d2d9vb2gXWr1Wrmz5+fbdu2lVUuAAAAAE1gXJkbnzNnTr785S/njDPOyD//8z/nuuuuy7x58/LII4+ku7s7SdLa2jroPq2trdm1a9dRH7O3tze9vb0Dyz09PUmSvr6+9PX1DUMXL9+hOuqlnurYYmS3N6YY9L3ZNHP/9dj7SD4P6+25P9L0r//nf693o6VOAACGT6mh2aJFiwZ+PvvsszN37ty8/vWvz6ZNm/KWt7wlSVKpVAbdpyiKw8aeb+3atVm9evVh452dnZk4ceIQVT40urq6yi4hSbLugnK2+7nZ/eVsuE40c//11Ptdd9014tusl+d+WfSv/9Fg3759ZZcAAEDJSg3Nar3qVa/K2WefnR//+Md5z3vekyTp7u7OlClTBtbZvXv3YWefPd+qVauyYsWKgeWenp5Mnz497e3tmTx58rDV/nL09fWlq6srCxcuTEtLS9nlZFbHt0Z0e9UxRT43uz/X7hiT3v6jB6CNqpn7r8fef9DxrhHbVr0990ea/vU/mvo/dKY6AADNq65Cs97e3vzwhz/Mr//6r2fGjBlpa2tLV1dX3vzmNydJDhw4kK1bt+bGG2886mNUq9VUq9XDxltaWupukl4vNfUeLCe86O2vlLbtetDM/ddT72U8B+vluV8W/et/NPQ/GmoEAGB4lRqa/af/9J9y8cUX55RTTsnu3btz3XXXpaenJ0uXLk2lUsny5cuzZs2azJw5MzNnzsyaNWsyceLELFmypMyyAQAAAGhwpYZm//AP/5APfOAD+dnPfpaTTjopb3nLW3Lffffl1FNPTZKsXLkyzzzzTJYtW5Y9e/Zkzpw56ezszKRJk8osGwAAAIAGV2podvvtt7/g7ZVKJR0dHeno6BiZggAAAAAgyZiyCwAAAACAelNXFwIAGGmnXX3niG2rOrbIugueu2LtUF0I4ac3XDQkjwMAAMBgzjQDAAAAgBpCMwAAAACoITQDAAAAgBpCMwAAAACoITQDAAAAgBpCMwAAAACoITQDAAAAgBpCMwAAAACoITQDAAAAgBrHFJpdeOGFeeqppw4b7+npyYUXXvhKawIAAACAUh1TaHbPPffkwIEDh43v378/3/nOd15xUQAAAABQpnEvZ+Xvf//7Az//3d/9Xbq7uweWDx48mLvvvjuve93rhq46AAAAACjBywrNfu3Xfi2VSiWVSuWIb8OcMGFCPv/5zw9ZcQAAAABQhpcVmu3cuTNFUeT000/P/fffn5NOOmngtuOOOy4nn3xyxo4dO+RFAgAAAMBIelmh2amnnpok6e/vH5ZiAAAAAKAevKzQ7Pl+9KMf5Z577snu3bsPC9H+4A/+4BUXBgAAAABlOabQ7Atf+EI+/vGP58QTT0xbW1sqlcrAbZVKRWgGAAAAwKh2TKHZddddl+uvvz5XXXXVUNcDAAAAAKUbcyx32rNnTy655JKhrgUAAAAA6sIxhWaXXHJJOjs7h7oWAAAAAKgLx/T2zDe84Q259tprc9999+Xss89OS0vLoNt/7/d+b0iKAwAAAIAyHFNoduutt+b444/P1q1bs3Xr1kG3VSoVoRkAAAAAx2Tbtm256aabcuWVV2bevHml1XFModnOnTuHug4AAAAAmtz+/fuzfv36/OxnP8v69evzb/7Nv8n48eNLqeWYPtMMAAAAAIbaf//v/z1PPvlkkuTJJ5/M5s2bS6vlmM40+8hHPvKCt//Zn/3ZMRUDAAD1oCiKgZ/3799fYiW8VIP20/P2H7xsnv9wRM9/PhTD9Dr7D//wD9m8efPA4xdFkc2bN6e9vT3Tpk0blm2+kGMKzfbs2TNoua+vLz/4wQ/y1FNP5cILLzymQtauXZtPf/rTufLKK7Nhw4Ykz/3jrF69Orfeemv27NmTOXPm5E/+5E9y1llnHdM2AAAYvXp7e9Pb2zuw3NPTM6zbOuS3f/u3h207DJP+Z5McV3YVjFb9zw786PkPR9bb25uJEycO6WMWRZGbbrrpqOPr1q1LpVIZ0m2+mGMKze64447Dxvr7+7Ns2bKcfvrpL/vxtm/fnltvvTXnnHPOoPF169Zl/fr1+dKXvpQzzjgj1113XRYuXJhHH300kyZNOpbSAQAYpdauXZvVq1eXXQYAMAwee+yxbN++/bDxgwcPZvv27Xnsscdy6qmnjmhNxxSaHcmYMWPyyU9+MgsWLMjKlStf8v1++ctf5tJLL80XvvCFXHfddQPjRVFkw4YNueaaa7J48eIkyaZNm9La2prNmzfnsssuG6rSAQAYBVatWpUVK1YMLPf09GT69OnDsq1qtTrw8x133FHaBxDz0u3fv/9fzwoaM2R/5tCMnnf8eP7Dv3r+6+zzf08OlVNOOSXnn39+/uZv/iYHDx4cGB87dmzOO++8nHLKKUO+zRczpL9N/t//+3959tlnX3zF57n88stz0UUX5Td+4zcGhWY7d+5Md3d32tvbB8aq1Wrmz5+fbdu2HTU0O9pp+319fenr63tZtQ2XQ3XUSz3VsSP7mQ/VMcWg782mmftv5t6T4em/Xl5HXop6e+0bafofXf2PljqbTbVaHZZJ+pE8/+0f48ePz4QJE0ZkuwyREX77Dg3G8x9e1HC8TbJSqeTKK6/M0qVLjzg+0m/NTI4xNHv+//Alz50V9sQTT+TOO+88rLkXcvvtt+eBBx7Ijh07Drutu7s7SdLa2jpovLW1Nbt27TrqYx7ttP3Ozs4hf7/tK9XV1VV2CUmSdReUs93Pze4vZ8N1opn7b+bek6Ht/6677hqyxxop9fLaVxb9j47+9+3bV3YJAABNZ9q0aVmyZEm+8pWvpCiKVCqVLFmyJK973etKqeeYQrMHH3xw0PKYMWNy0kkn5Y/+6I9e9Mqahzz++OO58sor09nZ+YKnu9YmiYf+0Y7maKftt7e3Z/LkyS+ptuHW19eXrq6uLFy4MC0tLWWXk1kd3xrR7VXHFPnc7P5cu2NMevub738Bm7n/Zu49GZ7+f9DxriF5nJFQb699I03/o6v/4fyAeQAAju7SSy/Nli1b8rOf/SwnnnhilixZUlotxxSaffvb337FG37ggQeye/funHfeeQNjBw8ezL333puNGzfm0UcfTfLcGWdTpkwZWGf37t2HnX32fEc7bb+lpaXuJun1UlPvwXLCi97+SmnbrgfN3H8z954Mbf/18BryctXLa19Z9D86+h8NNQIANKLx48dnxYoVuemmm3LllVeW+rmCr+gzzf7lX/4ljz76aCqVSs4444ycdNJJL/m+73znO/Pwww8PGvud3/mdnHnmmbnqqqty+umnp62tLV1dXXnzm9+cJDlw4EC2bt2aG2+88ZWUDQAAAECdmjdvXubNm1d2GccWmj399NO54oor8uUvfzn9/c99Ns/YsWPzoQ99KJ///Odf0meHTZo0KbNmzRo09qpXvSqvfe1rB8aXL1+eNWvWZObMmZk5c2bWrFmTiRMnlnpqHgAAAACNb8yx3GnFihXZunVr/vf//t956qmn8tRTT+Uv/uIvsnXr1nzqU58asuJWrlyZ5cuXZ9myZZk9e3b+8R//MZ2dnZk0adKQbQMAAAAAah3TmWZf/epX87/+1//KggULBsZ+8zd/MxMmTMh73/ve3HzzzcdUzD333DNouVKppKOjIx0dHcf0eAAAAABwLI7pTLN9+/Yd8cP4Tz75ZJdoBwAAAGDUO6YzzebOnZvPfOYz+fKXvzxwFYNnnnkmq1evzty5c4e0QACO7rSr7yy7hJesOrbIuguSWR3fGrh66E9vuKjkqgAAAI7smEKzDRs2ZNGiRZk2bVrOPffcVCqVPPTQQ6lWq+ns7BzqGgEAAABgRB1TaHb22Wfnxz/+cb7yla/k7//+71MURd7//vfn0ksvzYQJE4a6RgAAAAAYUccUmq1duzatra352Mc+Nmj8z/7sz/Iv//Ivueqqq4akOAAAAAAowzFdCOC//tf/mjPPPPOw8bPOOiu33HLLKy4KAAAAAMp0TKFZd3d3pkyZctj4SSedlCeeeOIVFwUAAAAAZTqm0Gz69On53ve+d9j49773vUydOvUVFwUAAAAAZTqmzzT76Ec/muXLl6evry8XXnhhkuT//J//k5UrV+ZTn/rUkBYIAAAAACPtmEKzlStX5uc//3mWLVuWAwcOJEnGjx+fq666KqtWrRrSAgEAAABgpB1TaFapVHLjjTfm2muvzQ9/+MNMmDAhM2fOTLVaHer6AAAAAGDEHVNodsjxxx+f888/f6hqAQAAAIC6cEwXAgAAAACARiY0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqFFqaHbzzTfnnHPOyeTJkzN58uTMnTs3W7ZsGbi9KIp0dHRk6tSpmTBhQhYsWJBHHnmkxIoBAAAAaAalhmbTpk3LDTfckB07dmTHjh258MIL8+53v3sgGFu3bl3Wr1+fjRs3Zvv27Wlra8vChQuzd+/eMssGAAAAoMGVGppdfPHF+c3f/M2cccYZOeOMM3L99dfn+OOPz3333ZeiKLJhw4Zcc801Wbx4cWbNmpVNmzZl37592bx5c5llAwAAANDgxpVdwCEHDx7M//yf/zNPP/105s6dm507d6a7uzvt7e0D61Sr1cyfPz/btm3LZZdddsTH6e3tTW9v78ByT09PkqSvry99fX3D28RLdKiOeqmnOrYY2e2NKQZ9bzbN3H8z957o/0j918vr4Eiot9f+kTba+h8tdQIAMHxKD80efvjhzJ07N/v378/xxx+fO+64I29605uybdu2JElra+ug9VtbW7Nr166jPt7atWuzevXqw8Y7OzszceLEoS3+Ferq6iq7hCTJugvK2e7nZveXs+E60cz9N3Pvif6f3/9dd91VYiXlqJfX/rKMlv737dtXdgkAAJSs9NDsjW98Yx566KE89dRT+epXv5qlS5dm69atA7dXKpVB6xdFcdjY861atSorVqwYWO7p6cn06dPT3t6eyZMnD30Dx6Cvry9dXV1ZuHBhWlpayi4nszq+NaLbq44p8rnZ/bl2x5j09h99XzaqZu6/mXtP9H+k/n/Q8a6Sqxo59fbaP9JGW/+HzlQHAKB5lR6aHXfccXnDG96QJJk9e3a2b9+em266KVdddVWSpLu7O1OmTBlYf/fu3YedffZ81Wo11Wr1sPGWlpa6m6TXS029B8v54723v1LatutBM/ffzL0n+n9+//XwGjjS6uW1vyyjpf/RUCMAAMOr1AsBHElRFOnt7c2MGTPS1tY26G0cBw4cyNatWzNv3rwSKwQAAACg0ZV6ptmnP/3pLFq0KNOnT8/evXtz++2355577sndd9+dSqWS5cuXZ82aNZk5c2ZmzpyZNWvWZOLEiVmyZEmZZQMAAADQ4EoNzf75n/85H/zgB/PEE0/khBNOyDnnnJO77747CxcuTJKsXLkyzzzzTJYtW5Y9e/Zkzpw56ezszKRJk8osGwAAAIAGV2po9sUvfvEFb69UKuno6EhHR8fIFAQAAAAAqcPPNAMAAACAsgnNAAAAAKCG0AwAAAAAagjNAAAAAKCG0AwAAAAAagjNAAAAAKCG0AwAAAAAagjNAAAAAKCG0AwAAAAAagjNAAAAAKCG0AwAAAAAagjNAAAAAKCG0AwAAAAAagjNAAAAAKDGuLILAACAejN+/Phs2bJl4GcAaHbN+LtRaAYAADUqlUomTJhQdhkAUDea8Xejt2cCAAAAQA2hGQAAAADUEJoBAAAAQA2hGQAAAADUEJoBAAAAQA2hGQAAAADUEJoBAAAAQI1xZRcAQPM67eo7yy7hFfnpDReVXQIAADBMnGkGAAAAADWEZgAAAABQo9TQbO3atTn//PMzadKknHzyyXnPe96TRx99dNA6RVGko6MjU6dOzYQJE7JgwYI88sgjJVUMAAAAQDMoNTTbunVrLr/88tx3333p6urKs88+m/b29jz99NMD66xbty7r16/Pxo0bs3379rS1tWXhwoXZu3dviZUDAAAA0MhKvRDA3XffPWj5tttuy8knn5wHHnggb3/721MURTZs2JBrrrkmixcvTpJs2rQpra2t2bx5cy677LIyygYAAACgwdXVZ5r94he/SJK85jWvSZLs3Lkz3d3daW9vH1inWq1m/vz52bZtWyk1AgAAAND4Sj3T7PmKosiKFSvytre9LbNmzUqSdHd3J0laW1sHrdva2ppdu3Yd8XF6e3vT29s7sNzT05Mk6evrS19f33CU/rIdqqNe6qmOLUZ2e2OKQd+bTTP338y9J/pvxP5fzut4vb32j7TR1v9oqRMAgOFTN6HZJz7xiXz/+9/Pd7/73cNuq1Qqg5aLojhs7JC1a9dm9erVh413dnZm4sSJQ1PsEOnq6iq7hCTJugvK2e7nZveXs+E60cz9N3Pvif4bqf+77rrrZd+nXl77yzJa+t+3b1/ZJQAAULK6CM2uuOKKfOMb38i9996badOmDYy3tbUlee6MsylTpgyM7969+7Czzw5ZtWpVVqxYMbDc09OT6dOnp729PZMnTx6mDl6evr6+dHV1ZeHChWlpaSm7nMzq+NaIbq86psjnZvfn2h1j0tt/5PCzkTVz/83ce6L/Ruz/Bx3vesnr1ttr/0gbbf0fOlMdAIDmVWpoVhRFrrjiitxxxx255557MmPGjEG3z5gxI21tbenq6sqb3/zmJMmBAweydevW3HjjjUd8zGq1mmq1eth4S0tL3U3S66Wm3oPl/PHa218pbdv1oJn7b+beE/03Uv/H8hpeL6/9ZRkt/Y+GGgEAGF6lhmaXX355Nm/enL/4i7/IpEmTBj7D7IQTTsiECRNSqVSyfPnyrFmzJjNnzszMmTOzZs2aTJw4MUuWLCmzdAAAAAAaWKmh2c0335wkWbBgwaDx2267LR/+8IeTJCtXrswzzzyTZcuWZc+ePZkzZ046OzszadKkEa4WAAAAgGZR+tszX0ylUklHR0c6OjqGvyAAAAAASDKm7AIAAAAAoN4IzQAAAACghtAMAAAAAGoIzQAAAACghtAMAAAAAGoIzQAAAACghtAMAAAAAGoIzQAAAACghtAMAAAAAGoIzQAAAACghtAMAAAAAGoIzQAAAACghtAMAAAAAGoIzQAAAACghtAMAAAAAGoIzQAAAACghtAMAAAAAGoIzQAAAACghtAMAAAAAGoIzQAAAACgxriyC2gEp11958tavzq2yLoLklkd30rvwcowVQUAAADAsXKmGQAAAADUEJoBAAAAQA2hGQAAAADUEJoBAAAAQA2hGQAAAADUEJoBAAAAQI1SQ7N77703F198caZOnZpKpZKvf/3rg24viiIdHR2ZOnVqJkyYkAULFuSRRx4pp1gAAAAAmkapodnTTz+dc889Nxs3bjzi7evWrcv69euzcePGbN++PW1tbVm4cGH27t07wpUCAAAA0EzGlbnxRYsWZdGiRUe8rSiKbNiwIddcc00WL16cJNm0aVNaW1uzefPmXHbZZSNZKgAAAABNpNTQ7IXs3Lkz3d3daW9vHxirVquZP39+tm3bdtTQrLe3N729vQPLPT09SZK+vr709fUNS63VscXLW39MMeh7s9F/8/bfzL0n+m/E/l/O75VD6w7X76J6N9r6Hy11AgAwfOo2NOvu7k6StLa2DhpvbW3Nrl27jnq/tWvXZvXq1YeNd3Z2ZuLEiUNb5P9v3QXHdr/Pze4f2kJGGf03b//N3Hui/0bq/6677nrZ9+nq6hqGSkaP0dL/vn37yi4BAICS1W1odkilUhm0XBTFYWPPt2rVqqxYsWJguaenJ9OnT097e3smT548LDXO6vjWy1q/OqbI52b359odY9Lbf/ReGpX+m7f/Zu490X8j9v+Djne95HX7+vrS1dWVhQsXpqWlZRirqk+jrf9DZ6oDANC86jY0a2trS/LcGWdTpkwZGN+9e/dhZ589X7VaTbVaPWy8paVl2CbpvQeP7Y+/3v7KMd+3Eei/eftv5t4T/TdS/8fye2U4fx+NBqOl/9FQIwAAw6vUq2e+kBkzZqStrW3Q2zgOHDiQrVu3Zt68eSVWBgAAAECjK/VMs1/+8pf5v//3/w4s79y5Mw899FBe85rX5JRTTsny5cuzZs2azJw5MzNnzsyaNWsyceLELFmypMSqAQAAAGh0pYZmO3bsyDve8Y6B5UOfRbZ06dJ86UtfysqVK/PMM89k2bJl2bNnT+bMmZPOzs5MmjSprJIBAIA6V+l/No1zreZX6GDfkX/mqCr9z5ZdAlAnSg3NFixYkKI4+q+zSqWSjo6OdHR0jFxRAADAqHb8Q/+j7BLq0qS/vb3sEgBGlbr9TDMAAAAAKEvdXj0TAADgpRo/fny2bNlSdhl1pyiK9Pb2Jkmq1Woqlca4gvVIGT9+fNklACUSmgEAAKNepVLJhAkTyi6jLk2cOLHsEgBGJW/PBAAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAarp4JAE3qtKvvHLFtVccWWXdBMqvjW+k9WBmSx/zpDRcNyeMAAMCRONMMAAAAAGoIzQAAAACghtAMAAAAAGr4TDMAOEYv5zPBhuMzvQAAgOHjTDMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaQjMAAAAAqCE0AwAAAIAaoyI0+9M//dPMmDEj48ePz3nnnZfvfOc7ZZcEAAAAQAOr+9Dsz//8z7N8+fJcc801efDBB/Prv/7rWbRoUR577LGySwMAAACgQdV9aLZ+/fr8x//4H/PRj340v/qrv5oNGzZk+vTpufnmm8suDQAAAIAGNa7sAl7IgQMH8sADD+Tqq68eNN7e3p5t27Yd8T69vb3p7e0dWP7FL36RJPn5z3+evr6+Yalz3LNPv7z1+4vs29efcX1jcrC/Miw11TP9N2//zdx7on/963+o+3/yySeH5HGOZO/evUmSoiiGbRu8cof2T09PT8mVAACjyaG5w4vN9eo6NPvZz36WgwcPprW1ddB4a2truru7j3iftWvXZvXq1YeNz5gxY1hqPFZLyi6gZPpvXs3ce6J//Te3oe7/xD8a4gc8gr179+aEE04Y/g1xTA6Fm9OnTy+5EgBgNHqxuV5dh2aHVCqD/0e6KIrDxg5ZtWpVVqxYMbDc39+fn//853nta1971PuMtJ6enkyfPj2PP/54Jk+eXHY5I07/zdt/M/ee6F//+h9N/RdFkb1792bq1Klll8ILmDp1ah5//PFMmjTJPK9O6F//zdp/M/ee6F//o6//lzrXq+vQ7MQTT8zYsWMPO6ts9+7dh519dki1Wk21Wh009upXv3q4SnxFJk+ePGoOqOGg/+btv5l7T/Svf/2Plv6dYVb/xowZk2nTppVdxhGNpmN9OOhf/83afzP3nuhf/6Or/5cy16vrCwEcd9xxOe+889LV1TVovKurK/PmzSupKgAAAAAaXV2faZYkK1asyAc/+MHMnj07c+fOza233prHHnssv/u7v1t2aQAAAAA0qLoPzd73vvflySefzGc/+9k88cQTmTVrVu66666ceuqpZZd2zKrVaj7zmc8c9jbSZqH/5u2/mXtP9K9//Tdz/zSPZj/W9a//Zu2/mXtP9K//xu2/UriWOgAAAAAMUtefaQYAAAAAZRCaAQAAAEANoRkAAAAA1BCaAQAAAEANodkwuvfee3PxxRdn6tSpqVQq+frXvz7o9qIo0tHRkalTp2bChAlZsGBBHnnkkXKKHWIv1vuHP/zhVCqVQV9vectbyil2GKxduzbnn39+Jk2alJNPPjnvec978uijjw5ap5H3/0vpv5GPgZtvvjnnnHNOJk+enMmTJ2fu3LnZsmXLwO2NvO9frPdG3u9Hsnbt2lQqlSxfvnxgrJH3f60j9d9sxwCNyzzPPM88zzzPPM88zzyv8ed5QrNh9PTTT+fcc8/Nxo0bj3j7unXrsn79+mzcuDHbt29PW1tbFi5cmL17945wpUPvxXpPkn/7b/9tnnjiiYGvu+66awQrHF5bt27N5Zdfnvvuuy9dXV159tln097enqeffnpgnUbe/y+l/6Rxj4Fp06blhhtuyI4dO7Jjx45ceOGFefe73z3wC7OR9/2L9Z407n6vtX379tx6660555xzBo038v5/vqP1nzTPMUBjM88zzzPPM88zzzPPM89rgnlewYhIUtxxxx0Dy/39/UVbW1txww03DIzt37+/OOGEE4pbbrmlhAqHT23vRVEUS5cuLd797neXUk8Zdu/eXSQptm7dWhRFc+3/oji8/6JovmPgV37lV4r/9t/+W9Pt+6L4196Lonn2+969e4uZM2cWXV1dxfz584srr7yyKIrmee4frf+iaJ5jgOZinnfHoLFme56b55nnmeeZ5xVF8zz3m22e50yzkuzcuTPd3d1pb28fGKtWq5k/f362bdtWYmUj55577snJJ5+cM844Ix/72Meye/fusksaNr/4xS+SJK95zWuSNN/+r+3/kGY4Bg4ePJjbb789Tz/9dObOndtU+76290OaYb9ffvnlueiii/Ibv/Ebg8abZf8frf9DmuEYoLk1y3P9hTTT89w8zzzPPM88L2me536zzfPGlV1As+ru7k6StLa2DhpvbW3Nrl27yihpRC1atCiXXHJJTj311OzcuTPXXnttLrzwwjzwwAOpVqtllzekiqLIihUr8ra3vS2zZs1K0lz7/0j9J41/DDz88MOZO3du9u/fn+OPPz533HFH3vSmNw38wmzkfX+03pPG3+9Jcvvtt+eBBx7Ijh07DrutGZ77L9R/0hzHADTDc/2FNNPz3DzPPM88zzzvkGZ47jfjPE9oVrJKpTJouSiKw8Ya0fve976Bn2fNmpXZs2fn1FNPzZ133pnFixeXWNnQ+8QnPpHvf//7+e53v3vYbc2w/4/Wf6MfA2984xvz0EMP5amnnspXv/rVLF26NFu3bh24vZH3/dF6f9Ob3tTw+/3xxx/PlVdemc7OzowfP/6o6zXq/n8p/Tf6MQDP16jP9RfTTM9z8zzzPPM887xajbr/m3We5+2ZJWlra0vyr2n0Ibt37z4smW4GU6ZMyamnnpof//jHZZcypK644op84xvfyLe//e1MmzZtYLxZ9v/R+j+SRjsGjjvuuLzhDW/I7Nmzs3bt2px77rm56aabmmLfH633I2m0/f7AAw9k9+7dOe+88zJu3LiMGzcuW7duzR//8R9n3LhxA/u4Uff/i/V/8ODBw+7TaMcAJM3ze/6latTnuXmeeZ55nnmeeV7jz/OEZiWZMWNG2tra0tXVNTB24MCBbN26NfPmzSuxsnI8+eSTefzxxzNlypSySxkSRVHkE5/4RL72ta/lr/7qrzJjxoxBtzf6/n+x/o+k0Y6BWkVRpLe3t+H3/ZEc6v1IGm2/v/Od78zDDz+chx56aOBr9uzZufTSS/PQQw/l9NNPb+j9/2L9jx079rD7NNoxAEnj/55/uRrteW6eZ55XyzzPPM88r4HneSN73YHmsnfv3uLBBx8sHnzwwSJJsX79+uLBBx8sdu3aVRRFUdxwww3FCSecUHzta18rHn744eIDH/hAMWXKlKKnp6fkyl+5F+p97969xac+9ali27Ztxc6dO4tvf/vbxdy5c4vXve51DdF7URTFxz/+8eKEE04o7rnnnuKJJ54Y+Nq3b9/AOo28/1+s/0Y/BlatWlXce++9xc6dO4vvf//7xac//elizJgxRWdnZ1EUjb3vX6j3Rt/vR1N7VaFG3v9H8vz+m/UYoDGZ55nnmeeZ55nnmeeZ5zX+PE9oNoy+/e1vF0kO+1q6dGlRFM9dkvYzn/lM0dbWVlSr1eLtb3978fDDD5db9BB5od737dtXtLe3FyeddFLR0tJSnHLKKcXSpUuLxx57rOyyh8yRek9S3HbbbQPrNPL+f7H+G/0Y+MhHPlKceuqpxXHHHVecdNJJxTvf+c6BiVRRNPa+f6HeG32/H03tZKqR9/+RPL//Zj0GaEzmeeZ55nnmeeZ55nnmeY0/z6sURVEM/flrAAAAADB6+UwzAAAAAKghNAMAAACAGkIzAAAAAKghNAMAAACAGkIzAAAAAKghNAMAAACAGkIzAAAAAKghNAMAAACAGkIzAAAAAKghNAMAAACAGkIzAAAA6taCBQtyxRVXZPny5fmVX/mVtLa25tZbb83TTz+d3/md38mkSZPy+te/Plu2bEmS3HPPPalUKrnzzjtz7rnnZvz48ZkzZ04efvjhQY/7hS98IdOnT8/EiRPz27/921m/fn1e/epXl9AhUK+EZgAAANS1TZs25cQTT8z999+fK664Ih//+MdzySWXZN68efmbv/mbvOtd78oHP/jB7Nu3b+A+v//7v58//MM/zPbt23PyySfn3/27f5e+vr4kyfe+97387u/+bq688so89NBDWbhwYa6//vqy2gPqVKUoiqLsIgAAAOBIFixYkIMHD+Y73/lOkuTgwYM54YQTsnjx4nz5y19OknR3d2fKlCn567/+6+zfvz/veMc7cvvtt+d973tfkuTnP/95pk2bli996Ut573vfm/e///355S9/mW9+85sD2/kP/+E/5Jvf/GaeeuqpEe8RqE/ONAMAAKCunXPOOQM/jx07Nq997Wtz9tlnD4y1trYmSXbv3j0wNnfu3IGfX/Oa1+SNb3xjfvjDHyZJHn300VxwwQWDtlG7DCA0AwAAoK61tLQMWq5UKoPGKpVKkqS/v/8FH+fQekVRDPx8iDdhAbWEZgAAADSc++67b+DnPXv25Ec/+lHOPPPMJMmZZ56Z+++/f9D6O3bsGNH6gPo3ruwCAAAAYKh99rOfzWtf+9q0trbmmmuuyYknnpj3vOc9SZIrrrgib3/727N+/fpcfPHF+au/+qts2bLlsLPPgObmTDMAAAAazg033JArr7wy5513Xp544ol84xvfyHHHHZckeetb35pbbrkl69evz7nnnpu77747n/zkJzN+/PiSqwbqiatnAgAA0DDuueeevOMd78iePXvy6le/+iXf72Mf+1j+/u//fuAqnQDengkAAEDT+cM//MMsXLgwr3rVq7Jly5Zs2rQpf/qnf1p2WUAdEZoBAADQdO6///6sW7cue/fuzemnn54//uM/zkc/+tGyywLqiLdnAgAAAEANFwIAAAAAgBpCMwAAAACoITQDAAAAgBpCMwAAAACoITQDAAAAgBpCMwAAAACoITQDAAAAgBpCMwAAAACoITQDAAAAgBr/H5HHxPEGCDuNAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cylinders\n",
      "Skew : 0.53\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "displacement\n",
      "Skew : 0.72\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "horsepower\n",
      "Skew : 1.11\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "weight\n",
      "Skew : 0.53\n"
     ]
    },
    {
     "data": {
      "image/png": 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AAKBYehWafec734nPfe5zceihh0ZNTU3kcrnCtlwuJzQDAAAAYEDrVWj29a9/Pa655pq44oor+roeAAAAACi6st4ctHHjxjjnnHP6uhYAAAAA6Bd6FZqdc8450dTU1Ne1AAAAAEC/0KuXZ77jHe+Iq666Kh566KE47rjjory8PLX90ksv7ZPiAAAAAKAYehWa3XTTTXHQQQdFS0tLtLS0pLblcjmhGQAAAAADWq9Cs7Vr1/Z1HQAAAADQb/TqPc0AAAAAYDDr1ZVmF1544Ztu/+53v9urYgAAoD9IkqTw9datW4tYycCX6t8b+gqDlt8fsE/e+HOTFPl5o1eh2caNG1O3Ozs746mnnopNmzbFGWec0SeFAQDAG3V0dERHR0fhdltb2369r53+6Z/+ab/dT8np2h4Rw4pdBexfXdsLX/r9Afumo6MjKisri3b/vQrN7rjjjm5jXV1dMXv27Bg/fvw+FwUAAFmLFy+OhQsXFrsMAKBE9Co060lZWVl8/vOfj6lTp8a8efP66rQAABAREfPnz4+5c+cWbre1tUVdXd1+ua98Pl/4+o477ojhw4fvl/spBVu3bn39apuyPvvnB/Rfb5jnfn/A3nvj88Ybn4+LoU+ftf74xz/G9u3bd78jAADspXw+f8AWz7lcrvD18OHDo6Ki4oDc76D3hr7CoOX3B/SZXJGfN3oVmr3xf/giXntjtvXr18ddd90VM2fO7JPCAAAAAKBYehWaPfbYY6nbZWVlMWrUqPjmN7+520/WBAAAAID+rleh2b333tvXdQAAAABAv7FP72n24osvxpo1ayKXy8VRRx0Vo0aN6qu6AAAAAKBoynpz0CuvvBIXXnhhjBkzJk4//fR473vfG7W1tfGpT30qtmzZ0tc1AgAAAMAB1avQbO7cudHS0hI//elPY9OmTbFp06b4yU9+Ei0tLXH55Zf3dY0AAAAAcED16uWZt99+e/zP//xPTJ06tTD2D//wD1FRUREf/ehH44Ybbuir+gAAAADggOvVlWZbtmyJ6urqbuOjR4/28kwAAAAABrxehWaTJk2Kq6++OrZu3VoYe/XVV2PhwoUxadKkPisOAAAAAIqhVy/PXLZsWUyfPj0OP/zwOOGEEyKXy8WqVasin89HU1NTX9cIAAAAAAdUr0Kz4447Lp555pn4wQ9+EL///e8jSZL42Mc+FhdccEFUVFT0dY0AAAAAcED1KjRbvHhxVFdXx2c+85nU+He/+9148cUX44orruiT4gAAAACgGHr1nmb/+Z//GUcffXS38WOPPTZuvPHGfS4KAAAAAIqpV6FZa2trjBkzptv4qFGjYv369ftcFAAAAAAUU69Cs7q6unjggQe6jT/wwANRW1u7z0UBAAAAQDH16j3NPv3pT8ecOXOis7MzzjjjjIiI+OUvfxnz5s2Lyy+/vE8LBAAAAIADrVdXms2bNy8+9alPxezZs2P8+PExfvz4uOSSS+LSSy+N+fPn96qQxYsXRy6Xizlz5hTGkiSJxsbGqK2tjYqKipg6dWqsXr26V+cHAAAAgD3Vq9Asl8vFddddFy+++GI89NBD8fjjj8ff/va3+MpXvtKrIh555JG46aab4vjjj0+NL1myJJYuXRrXX399PPLII1FTUxPTpk2L9vb2Xt0PAAAAAOyJXoVmOx100EFx8sknR319feTz+V6d4+WXX44LLrggvvOd78QhhxxSGE+SJJYtWxYLFiyIs88+O+rr6+OWW26JLVu2xK233rovZQMAAADAm+rVe5r1pYsuuihmzJgRH/jAB+LrX/96YXzt2rXR2toaDQ0NhbF8Ph9TpkyJFStWxKxZs3o8X0dHR3R0dBRut7W1RUREZ2dndHZ29njMzvFdbR/s8kOS9O2yJPV3qdOPtGw/SvXnZqdS//2RpR9p+pE2kPoxEGoEAGD/Kmpodtttt8XKlSvj0Ucf7battbU1IiKqq6tT49XV1bFu3bpdnnPx4sWxcOHCbuNNTU1RWVn5pvU0NzfvSdmDzpJTeh7/2sSuA1tIP6cfaTv7cffddxe5kv6hVH9/7Ip+pOlH2kDox5YtW4pdAgAARVa00OyFF16Iyy67LJqammL48OG73C+Xy6VuJ0nSbeyN5s+fH3Pnzi3cbmtri7q6umhoaIgRI0b0eExnZ2c0NzfHtGnTory8fC8fycBX3/jz1O18WRJfm9gVVz1aFh1du+51qdCPtGw/nmo8s9gl7ZPs/N9bxZ4f/a3/pf77NEs/0gZSP3ZeqQ4AQOkqWmi2cuXK2LBhQ5x00kmFsR07dsR9990X119/faxZsyYiXrvibMyYMYV9NmzY0O3qszfK5/M9vr9aeXn5bhfoe7LPYNSxo+d/6Hd05Xa5rRTpR9rOfgz0n5m++p4Wa3701/6X6u/TXdGPtIHQj/5eHwAA+98+fRDAvnj/+98fTz75ZKxatarwZ+LEiXHBBRfEqlWrYvz48VFTU5N6Cce2bduipaUlJk+eXKyyAQAAACgBRbvSrKqqKurr61Njb3nLW+Jtb3tbYXzOnDmxaNGimDBhQkyYMCEWLVoUlZWVcf755xejZAAAAABKRNE/PfPNzJs3L1599dWYPXt2bNy4MU499dRoamqKqqqqYpcGAAAAwCDWr0Kz5cuXp27ncrlobGyMxsbGotQDAAAAQGkq2nuaAQAAAEB/JTQDAAAAgAyhGQAAAABk9Kv3NAMGniOvvKvYJQAAAECfc6UZAAAAAGQIzQAAAAAgQ2gGAAAAABlCMwAAAADIEJoBAAAAQIbQDAAAAAAyhGYAAAAAkCE0AwAAAIAMoRkAAAAAZAwtdgEAlK4jr7yr2CXsk+eunVHsEgAAgP3ElWYAAAAAkCE0AwAAAIAMoRkAAAAAZAjNAAAAACBDaAYAAAAAGUIzAAAAAMgQmgEAAABAhtAMAAAAADKEZgAAAACQMbTYBQwGR155V7FLAAAAAKAPudIMAAAAADKEZgAAAACQITQDAAAAgAyhGQAAAABkCM0AAAAAIMOnZwIMYP3t03vzQ5JYckpEfePPo2NHrtjlAAAA9JorzQAAAAAgQ2gGAAAAABlengkAABnDhw+Pe+65p/A1AHBg9KfnYKEZAABk5HK5qKioKHYZAFBy+tNzsJdnAgAAAECG0AwAAAAAMoRmAAAAAJAhNAMAAACADKEZAAAAAGQIzQAAAAAgQ2gGAAAAABlCMwAAAADIEJoBAAAAQIbQDAAAAAAyhGYAAAAAkCE0AwAAAIAMoRkAAAAAZAjNAAAAACBDaAYAAAAAGUIzAAAAAMgQmgEAAABAhtAMAAAAADKEZgAAAACQITQDAAAAgIyihmaLFy+Ok08+OaqqqmL06NHxkY98JNasWZPaJ0mSaGxsjNra2qioqIipU6fG6tWri1QxAAAAAKWgqKFZS0tLXHTRRfHQQw9Fc3NzbN++PRoaGuKVV14p7LNkyZJYunRpXH/99fHII49ETU1NTJs2Ldrb24tYOQAAAACD2dBi3vnPfvaz1O2bb745Ro8eHStXrozTTz89kiSJZcuWxYIFC+Lss8+OiIhbbrklqqur49Zbb41Zs2YVo2wAAAAABrl+9Z5mmzdvjoiIt771rRERsXbt2mhtbY2GhobCPvl8PqZMmRIrVqwoSo0AAAAADH5FvdLsjZIkiblz58Zpp50W9fX1ERHR2toaERHV1dWpfaurq2PdunU9nqejoyM6OjoKt9va2iIiorOzMzo7O3s8Zuf4rrbvTn5I0qvj+qt8WZL6u9TpR5p+pOlHWqn1Y3fPG/v6/DLYDKR+DIQaAQDYv/pNaHbxxRfHE088Effff3+3bblcLnU7SZJuYzstXrw4Fi5c2G28qakpKisr37SG5ubmvaj4dUtO6dVh/d7XJnYVu4R+RT/S9CNNP9JKpR933333Hu3X2+eXwWog9GPLli3FLgEAgCLrF6HZJZdcEnfeeWfcd999cfjhhxfGa2pqIuK1K87GjBlTGN+wYUO3q892mj9/fsydO7dwu62tLerq6qKhoSFGjBjR4zGdnZ3R3Nwc06ZNi/Ly8r2uv77x53t9TH+WL0viaxO74qpHy6Kjq+dwspToR5p+pOlHWqn146nGM990+74+vww2A6kfO69UBwCgdBU1NEuSJC655JK44447Yvny5TFu3LjU9nHjxkVNTU00NzfHiSeeGBER27Zti5aWlrjuuut6PGc+n498Pt9tvLy8fLcL9D3ZpycdOwbnPww7unKD9rH1hn6k6UeafqSVSj/29Dmjt88vg9VA6Ed/rw8AgP2vqKHZRRddFLfeemv85Cc/iaqqqsJ7mI0cOTIqKioil8vFnDlzYtGiRTFhwoSYMGFCLFq0KCorK+P8888vZukAAAAADGJFDc1uuOGGiIiYOnVqavzmm2+OT37ykxERMW/evHj11Vdj9uzZsXHjxjj11FOjqakpqqqqDnC1AAAAAJSKor88c3dyuVw0NjZGY2Pj/i8IAAAAAKKffBAAAAxER15515tuzw9JYskpr31gTH98j7fnrp1R7BIAAKDfKit2AQAAAADQ3wjNAAAAACBDaAYAAAAAGUIzAAAAAMgQmgEAAABAhtAMAAAAADKEZgAAAACQITQDAAAAgAyhGQAAAABkCM0AAAAAIENoBgAAAAAZQjMAAAAAyBCaAQAAAECG0AwAAAAAMoRmAAAAAJAhNAMAAACADKEZAAAAAGQIzQAAAAAgQ2gGAAAAABlCMwAAAADIEJoBAAAAQIbQDAAAAAAyhGYAAAAAkCE0AwAAAIAMoRkAAAAAZAwtdgEAAEBpyHVtj6TYRQwkOzp7/pp+Lde1vdglAH1EaAYAABwQB636f8UuYcCqevy2YpcAUHK8PBMAAAAAMlxpBgAA7DfDhw+Pe+65p9hlDEhJkkRHR0dEROTz+cjlckWuiL01fPjwYpcA7AOhGQAAsN/kcrmoqKgodhkDVmVlZbFLAChZXp4JAAAAABlCMwAAAADIEJoBAAAAQIbQDAAAAAAyhGYAAAAAkCE0AwAAAIAMoRkAAAAAZAjNAAAAACBjaLELAACK48gr7zqg95cfksSSUyLqG38eHTty+3y+566d0QdVAQBAz1xpBgAAAAAZQjMAAAAAyBCaAQAAAECG0AwAAAAAMoRmAAAAAJAhNAMAAACADKEZAAAAAGQIzQAAAAAgQ2gGAAAAABlCMwAAAADIEJoBAAAAQIbQDAAAAAAyhGYAAAAAkCE0AwAAAIAMoRkAAAAAZAyI0Ow//uM/Yty4cTF8+PA46aST4le/+lWxSwIAAABgEOv3odkPf/jDmDNnTixYsCAee+yxeO973xvTp0+P559/vtilAQAAADBI9fvQbOnSpfGpT30qPv3pT8c73/nOWLZsWdTV1cUNN9xQ7NIAAAAAGKSGFruAN7Nt27ZYuXJlXHnllanxhoaGWLFiRY/HdHR0REdHR+H25s2bIyLib3/7W3R2dvZ4TGdnZ2zZsiVeeumlKC8v3+s6h25/Za+P6c+GdiWxZUtXDO0six1duWKXU3T6kaYfafqRph9p+pHW1/146aWX+qCqnrW3t0dERJIk++0+2Hc7vz9tbW1FrgQAGEh2rh12t9br16HZX//619ixY0dUV1enxqurq6O1tbXHYxYvXhwLFy7sNj5u3Lj9UuNgdX6xC+hn9CNNP9L0I00/0vQjrS/7ceg3+/Bku9De3h4jR47c/3dEr+wMN+vq6opcCQAwEO1urdevQ7Odcrn0/0YnSdJtbKf58+fH3LlzC7e7urrib3/7W7ztbW/b5TFtbW1RV1cXL7zwQowYMaLvCh+g9CNNP9L0I00/0vQjTT/SBlI/kiSJ9vb2qK2tLXYpvIna2tp44YUXoqqqyjpvD+lHmn6k6UeafqTpR5p+pA20fuzpWq9fh2aHHnpoDBkypNtVZRs2bOh29dlO+Xw+8vl8auzggw/eo/sbMWLEgPjmHij6kaYfafqRph9p+pGmH2kDpR+uMOv/ysrK4vDDD9+jfQfKvDtQ9CNNP9L0I00/0vQjTT/SBlI/9mSt168/CGDYsGFx0kknRXNzc2q8ubk5Jk+eXKSqAAAAABjs+vWVZhERc+fOjY9//OMxceLEmDRpUtx0003x/PPPx2c/+9lilwYAAADAINXvQ7Nzzz03XnrppfjqV78a69evj/r6+rj77rtj7NixfXYf+Xw+rr766m4v6yxV+pGmH2n6kaYfafqRph9p+kExmHdp+pGmH2n6kaYfafqRph9pg7UfucRnqQMAAABASr9+TzMAAAAAKAahGQAAAABkCM0AAAAAIENoBgAAAAAZgyI0u+++++JDH/pQ1NbWRi6Xix//+Mep7Z/85Ccjl8ul/rz73e9O7dPR0RGXXHJJHHroofGWt7wl/vEf/zH+7//+L7XPxo0b4+Mf/3iMHDkyRo4cGR//+Mdj06ZN+/nR7b3FixfHySefHFVVVTF69Oj4yEc+EmvWrEntkyRJNDY2Rm1tbVRUVMTUqVNj9erVqX0GS0/2pB+lNEduuOGGOP7442PEiBExYsSImDRpUtxzzz2F7aU0NyJ2349Smhs9Wbx4ceRyuZgzZ05hrNTmyBv11I9SmyONjY3dHm9NTU1heynPD/Yfa73XWeelWeelWeelWee9Oeu8NOs867weJYPA3XffnSxYsCC5/fbbk4hI7rjjjtT2mTNnJh/84AeT9evXF/689NJLqX0++9nPJocddljS3Nyc/OY3v0ne9773JSeccEKyffv2wj4f/OAHk/r6+mTFihXJihUrkvr6+uSss846EA9xr5x55pnJzTffnDz11FPJqlWrkhkzZiRHHHFE8vLLLxf2ufbaa5Oqqqrk9ttvT5588snk3HPPTcaMGZO0tbUV9hksPdmTfpTSHLnzzjuTu+66K1mzZk2yZs2a5Etf+lJSXl6ePPXUU0mSlNbcSJLd96OU5kbWww8/nBx55JHJ8ccfn1x22WWF8VKbIzvtqh+lNkeuvvrq5Nhjj0093g0bNhS2l+r8YP+y1nuddV6adV6adV6add6uWeelWee9xjqvu0ERmr3RrhZSH/7wh3d5zKZNm5Ly8vLktttuK4z96U9/SsrKypKf/exnSZIkyW9/+9skIpKHHnqosM+DDz6YRETy+9//vk8fQ1/bsGFDEhFJS0tLkiRJ0tXVldTU1CTXXnttYZ+tW7cmI0eOTG688cYkSQZ3T7L9SBJz5JBDDkn+67/+q+Tnxk47+5EkpTs32tvbkwkTJiTNzc3JlClTCouHUp0ju+pHkpTeHLn66quTE044ocdtpTo/OLCs9dKs89Ks87qzzkuzzrPOy7LOe511XneD4uWZe2L58uUxevToOOqoo+Izn/lMbNiwobBt5cqV0dnZGQ0NDYWx2traqK+vjxUrVkRExIMPPhgjR46MU089tbDPu9/97hg5cmRhn/5q8+bNERHx1re+NSIi1q5dG62tranHm8/nY8qUKYXHMph7ku3HTqU4R3bs2BG33XZbvPLKKzFp0qSSnxvZfuxUinPjoosuihkzZsQHPvCB1HipzpFd9WOnUpsjzzzzTNTW1sa4cePiYx/7WDz77LMRUbrzg/6h1H4Od7LOS7POe511Xpp13uus89Ks89Ks89KGFruAA2H69OlxzjnnxNixY2Pt2rVx1VVXxRlnnBErV66MfD4fra2tMWzYsDjkkENSx1VXV0dra2tERLS2tsbo0aO7nXv06NGFffqjJEli7ty5cdppp0V9fX1ERKHe6urq1L7V1dWxbt26wj6DsSc99SOi9ObIk08+GZMmTYqtW7fGQQcdFHfccUccc8wxhV9SpTY3dtWPiNKbGxERt912W6xcuTIeffTRbttK8ffHm/UjovTmyKmnnhrf//7346ijjoq//OUv8fWvfz0mT54cq1evLsn5Qf9Qaj+HO1nnpVnnvcY6L806L806L806L806r7uSCM3OPffcwtf19fUxceLEGDt2bNx1111x9tln7/K4JEkil8sVbr/x613t099cfPHF8cQTT8T999/fbVu27j15LAO9J7vqR6nNkb/7u7+LVatWxaZNm+L222+PmTNnRktLS2F7qc2NXfXjmGOOKbm58cILL8Rll10WTU1NMXz48F3uVypzZE/6UWpzZPr06YWvjzvuuJg0aVK8/e1vj1tuuaXwxrilMj/oP0rt53An67w067zXWOelWee9zjovzTqvO+u87krm5ZlvNGbMmBg7dmw888wzERFRU1MT27Zti40bN6b227BhQyFFrampib/85S/dzvXiiy92S1r7i0suuSTuvPPOuPfee+Pwww8vjO/89Itsipt9vIOtJ7vqR08G+xwZNmxYvOMd74iJEyfG4sWL44QTToh///d/L9m5sat+9GSwz42VK1fGhg0b4qSTToqhQ4fG0KFDo6WlJb71rW/F0KFDC/WWyhzZXT927NjR7ZjBPkey3vKWt8Rxxx0XzzzzTMn+DqH/KYWfQ+u8NOu811nnpVnnvc46L806b/es80o0NHvppZfihRdeiDFjxkRExEknnRTl5eXR3Nxc2Gf9+vXx1FNPxeTJkyMiYtKkSbF58+Z4+OGHC/v8+te/js2bNxf26S+SJImLL744fvSjH8X//u//xrhx41Lbx40bFzU1NanHu23btmhpaSk8lsHUk931oyeDfY5kJUkSHR0dJTc3dmVnP3oy2OfG+9///njyySdj1apVhT8TJ06MCy64IFatWhXjx48vqTmyu34MGTKk2zGDfY5kdXR0xO9+97sYM2aM3yH0G4P559A6L806b/es89Ks86zzdrLO2z3rvIhB8emZ7e3tyWOPPZY89thjSUQkS5cuTR577LFk3bp1SXt7e3L55ZcnK1asSNauXZvce++9yaRJk5LDDjus28eiHn744ckvfvGL5De/+U1yxhln9PixqMcff3zy4IMPJg8++GBy3HHH9cuPRf3c5z6XjBw5Mlm+fHnqo2K3bNlS2Ofaa69NRo4cmfzoRz9KnnzyyeS8887r8aNiB0NPdtePUpsj8+fPT+67775k7dq1yRNPPJF86UtfSsrKypKmpqYkSUprbiTJm/ej1ObGrmQ/RajU5kjWG/tRinPk8ssvT5YvX548++yzyUMPPZScddZZSVVVVfLcc88lSWJ+sH9Y673OOi/NOi/NOi/NOm/3rPPSrPOs87IGRWh27733JhHR7c/MmTOTLVu2JA0NDcmoUaOS8vLy5IgjjkhmzpyZPP/886lzvPrqq8nFF1+cvPWtb00qKiqSs846q9s+L730UnLBBRckVVVVSVVVVXLBBRckGzduPICPdM/01IuISG6++ebCPl1dXcnVV1+d1NTUJPl8Pjn99NOTJ598MnWewdKT3fWj1ObIhRdemIwdOzYZNmxYMmrUqOT9739/YSGVJKU1N5LkzftRanNjV7KLqVKbI1lv7EcpzpFzzz03GTNmTFJeXp7U1tYmZ599drJ69erC9lKfH+wf1nqvs85Ls85Ls85Ls87bPeu8NOs867ysXJIkyf69lg0AAAAABpaSfE8zAAAAAHgzQjMAAAAAyBCaAQAAAECG0AwAAAAAMoRmAAAAAJAhNAMAAACADKEZAAAAAGQIzQAAABgUjjzyyFi2bNke7//cc89FLpeLVatW7beagIFLaAYAAMCg8Mgjj8S//du/9ek5v/e978XBBx/cp+cEBoahxS4AAAAA+sKoUaOKXQIwiLjSDAAAgKL46U9/GgcffHB0dXVFRMSqVasil8vFF7/4xcI+s2bNivPOOy8iIlasWBGnn356VFRURF1dXVx66aXxyiuvFPbNvjzz97//fZx22mkxfPjwOOaYY+IXv/hF5HK5+PGPf5yq49lnn433ve99UVlZGSeccEI8+OCDERGxfPny+Nd//dfYvHlz5HK5yOVy0djYuH+aAfQ7QjMAAACK4vTTT4/29vZ47LHHIiKipaUlDj300GhpaSnss3z58pgyZUo8+eSTceaZZ8bZZ58dTzzxRPzwhz+M+++/Py6++OIez93V1RUf+chHorKyMn7961/HTTfdFAsWLOhx3wULFsQXvvCFWLVqVRx11FFx3nnnxfbt22Py5MmxbNmyGDFiRKxfvz7Wr18fX/jCF/q+EUC/JDQDAACgKEaOHBnvete7Yvny5RHxWkD2+c9/Ph5//PFob2+P1tbWePrpp2Pq1KnxjW98I84///yYM2dOTJgwISZPnhzf+ta34vvf/35s3bq127mbmprij3/8Y3z/+9+PE044IU477bS45ppreqzjC1/4QsyYMSOOOuqoWLhwYaxbty7+8Ic/xLBhw2LkyJGRy+WipqYmampq4qCDDtqfLQH6EaEZAAAARTN16tRYvnx5JEkSv/rVr+LDH/5w1NfXx/333x/33ntvVFdXx9FHHx0rV66M733ve3HQQQcV/px55pnR1dUVa9eu7XbeNWvWRF1dXdTU1BTGTjnllB5rOP744wtfjxkzJiIiNmzY0MePFBhofBAAAAAARTN16tT47//+73j88cejrKwsjjnmmJgyZUq0tLTExo0bY8qUKRHx2sstZ82aFZdeemm3cxxxxBHdxpIkiVwut0c1lJeXF77eeczO91kDSpfQDAAAgKLZ+b5my5YtiylTpkQul4spU6bE4sWLY+PGjXHZZZdFRMTf//3fx+rVq+Md73jHHp336KOPjueffz7+8pe/RHV1dUREPPLII3td37Bhw2LHjh17fRww8Hl5JgAAAEWz833NfvCDH8TUqVMj4rUg7Te/+U3h/cwiIq644op48MEH46KLLopVq1bFM888E3feeWdccsklPZ532rRp8fa3vz1mzpwZTzzxRDzwwAOFDwLY0yvQIl77RM6XX345fvnLX8Zf//rX2LJlyz49XmDgEJoBAABQVO973/tix44dhYDskEMOiWOOOSZGjRoV73znOyPitfcda2lpiWeeeSbe+973xoknnhhXXXVV4T3IsoYMGRI//vGP4+WXX46TTz45Pv3pT8eXv/zliIgYPnz4Htc2efLk+OxnPxvnnntujBo1KpYsWbJvDxYYMHJJkiTFLgIAAAD2twceeCBOO+20+MMf/hBvf/vbi10O0M8JzQAAABiU7rjjjjjooINiwoQJ8Yc//CEuu+yyOOSQQ+L+++8vdmnAAOCDAAAAABiU2tvbY968efHCCy/EoYceGh/4wAfim9/8ZrHLAgYIV5oBAAAAQIYPAgAAAACADKEZAAAAAGQIzQAAAAAgQ2gGAAAAABlCMwAAAADIEJoBAAAAQIbQDAAAAAAyhGYAAAAAkCE0AwAAAICM/w/EHLY7O3XhHQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "acceleration\n",
      "Skew : 0.28\n"
     ]
    },
    {
     "data": {
      "image/png": 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BAAAA0K41KzT78Y9/HJdccklccMEFLV0PAAAAABRcUXN2evfdd+OEE05o6VoAAAAAoE1oVmh2wgknxNy5c1u6FgAAAABoE5r19sxPfepTMWnSpHjiiSdin332iW7dutVb/73vfa9FioOm2G3CPQU9f3GXJKYfHDGo6v6ors1segcAAACgzWvWnWbXXnttbLfddrFgwYKYNWtWXHnlldmfmTNntnCJAADQ+hYuXBgnnXRSLFy4cLP2u+6662L48OFx3XXXbaXKAKBl5Hqta+5rYHs7/6Y0KzRbvnx5zp+//e1vLV0jAAC0qnXr1sWMGTPiH//4R8yYMSPWrVvXpP1WrVoVt9xyS9TV1cUtt9wSq1at2rqFAkAz5Xqta+5rYHs7f1M0KzQDAICO7JZbbom33347IiLefvvtmD17dpP2mzRpUtTV1UVERF1dXVx00UVbrUYA2BK5Xuua+xrY3s7fFM36TLMzzjgj7/rrr7++WcUAAEChvfHGGzF79uxIkiQiIpIkidmzZ0dlZWX07ds3535PP/10PP/88/WWPffcc/H000/H4MGDN3neDeeLiIL+qzptW71rY6Nrhlbgd5QtsPE1k7SB391cr3X77rtvs14D29v5m6pZodm7775b73FNTU38+c9/jlWrVsXw4cNbpDAAANhYdXV1VFdXZx+vXr26xc+RJEn85Cc/ybl8+vTpkck0/OKfurq6uPjiixs95sUXXxx33nlnFBXlf5PHxs/tq1/96mZWTqdU91FEbFPoKjqPuo+yf/Q7ypaorq6O7t27F+z8uV7rcr2Wbeo1sKXOnyRJXHzxxQ1CxZY+/+ZoVmh2xx13NFhWV1cXY8aMid13332LiwIAgLRp06bFlClTtuo5XnvttVi0aFGD5bW1tbFo0aJ47bXXon///g3WP/nkkzlDvNWrV8eTTz4ZQ4YMafF6AWBz5Xqtq6ura/S1bFOvgS11/tra2lY5/+ZoVmjWmKKiojjvvPNi2LBhMX78+JY6LAAARETExIkTY9y4cdnHq1evjn79+rXoOXbdddc46KCD4tlnn43a2trs8i5dusSBBx4Yu+66a6P7HXLIIdGzZ89GJ/vbb799HHLIIZs8d3FxcfbPd9xxR5SUlDTjGdDRrVu37v/ucipqsb/O0RQb9dvvKJtr49/djcf7Qsj1WldUVBTbbbddfPDBB5v1GthS5+/SpUtsu+228f7772c/H3RrnH9ztOgo+/LLL8dHH3206Q0BAGAzFRcXb/W/aGQymfj+978fp512WqPLc70tpKioKC666KL4wQ9+0GDd5MmTN/nWzA3n2KCkpCRKS0s3s3o6nVZ+m1Kn53eUFtLabzFs7PyNvdYVFRXF5MmTG9wItanXwJY6fyaTaZXzb45mhWYb/wtfxMfvL33rrbfinnvuafCkAQCgPenbt2+MGjUqbr755kiSJDKZTIwaNSp22WWXvPsNHjw49tlnn3pfBrDvvvvGZz/72a1dMgBsllyvdQceeGCzXgPb2/mbatP/5NWIxYsX1/t57rnnIiLiiiuuiJkzZ7ZkfQAA0OpGjx4dvXr1ioiInXbaKUaNGtWk/X70ox9l7yorKirK+eUAAFBouV7rmvsa2N7O3xTNCs0eeuihej8PPPBA3HrrrfGtb30runb1vnoAANq3kpKSGDduXJSVlcV5553X5M8u2mGHHWL06NFRVFQUo0ePjh122GHrFgoAzZTrta65r4Ht7fxNsUUJ1z//+c9YtmxZZDKZ2GOPPWLnnXduqboAAKCghg4dGkOHDt3s/c4888w488wzt0JFANCycr3WNfc1sL2df1OadafZBx98EGeccUb06dMnjjjiiPjc5z4XFRUVceaZZ8batWtbukYAAAAAaFXNCs3GjRsXCxYsiD/84Q+xatWqWLVqVdx1112xYMGCOP/881u6RgAAAABoVc16e+Ztt90Wv//972PYsGHZZcccc0yUlpbGiSeeGFdffXVL1QcAAAAAra5ZodnatWujrKyswfLevXt7eyZAK9ptwj2FLmGLvHLpsYUuAQAAoFHNenvmkCFDYvLkybFu3brssg8//DCmTJkSQ4YMabHiAAAAAKAQmnWn2cyZM+Poo4+Ovn37xn777ReZTCaWLFkSxcXFMXfu3JauEQAAAABaVbNCs3322Sf++te/xs033xwvvvhiJEkSJ598cowePTpKS0tbukYAAAAAaFXNCs2mTZsWZWVlcdZZZ9Vbfv3118c///nPuOCCC1qkOAAAAAAohGZ9ptnPf/7z2GuvvRos/8xnPhPXXHPNFhcFAAAAAIXUrNBsxYoV0adPnwbLd95553jrrbe2uCgAAAAAKKRmhWb9+vWLxx57rMHyxx57LCoqKra4KAAAAAAopGZ9ptk3v/nNGDt2bNTU1MTw4cMjIuKBBx6I8ePHx/nnn9+iBQIAAABAa2tWaDZ+/Ph45513YsyYMbF+/fqIiCgpKYkLLrggJk6c2KIFAgAAAEBra1Zolslk4rLLLotJkybF0qVLo7S0NAYOHBjFxcUtXR8AAAAAtLpmhWYbbLfddnHQQQe1VC0AAAAA0CY064sAtoZp06ZFJpOJsWPHZpclSRJVVVVRUVERpaWlMWzYsHjhhRcKVyQAAAAAnUKbCM0WLVoU1157bey77771lk+fPj1mzJgRs2bNikWLFkV5eXmMGDEi1qxZU6BKAQAAAOgMCh6avf/++zF69Oj4xS9+EZ/4xCeyy5MkiZkzZ8aFF14YI0eOjEGDBsVNN90Ua9eujdmzZxewYgAAAAA6ui36TLOWcM4558Sxxx4bX/jCF+LHP/5xdvny5ctjxYoVUVlZmV1WXFwcRx55ZCxcuDDOPvvsRo9XXV0d1dXV2cerV6+OiIiampqoqanJWceGdfm26azaem+KuySFPX9RUu+//B+9yU9/co8rbX3cKTT9ya2leqO3AAAUNDS79dZb45lnnomnn366wboVK1ZERERZWVm95WVlZfHqq6/mPOa0adNiypQpDZbPnTs3unfvvsma5s2bt8ltOqu22pvpBxe6go/9aHBdoUtos/Qmv87cnzlz5uRd31bHnbZCf3Lb0t6sXbu2hSoBAKC9Klho9vrrr8f3v//9mDt3bpSUlOTcLpPJ1HucJEmDZRubOHFijBs3Lvt49erV0a9fv6isrIyePXvm3K+mpibmzZsXI0aMiG7dum3GM+n42npvBlXdX9DzFxcl8aPBdTHp6aKorst9bXZGepOf/kT8ueqoRpe39XGn0PQnt5bqzYY71QEA6LwKFpo988wzsXLlyjjwwAOzy2pra+Phhx+OWbNmxbJlyyLi4zvO+vTpk91m5cqVDe4+21hxcXEUFxc3WN6tW7cmTZ6bul1n1FZ7U13bNsKG6rpMm6mlrdGb/DpzfzY1prTVcaet0J/ctrQ3+goAQMG+CODzn/98PP/887FkyZLsz+DBg2P06NGxZMmS2H333aO8vLze2yvWr18fCxYsiKFDhxaqbAAAAAA6gYLdadajR48YNGhQvWXbbrtt9OrVK7t87NixMXXq1Bg4cGAMHDgwpk6dGt27d49Ro0YVomQAAAAAOomCf3tmPuPHj48PP/wwxowZE++++24ccsghMXfu3OjRo0ehSwMAAACgA2tTodn8+fPrPc5kMlFVVRVVVVUFqQcAAACAzqlgn2kGAAAAAG2V0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKR0LXQBAABARElJSdx7773ZPwPQcRjj2yehGQAAtAGZTCZKS0sLXQYAW4Exvn3y9kwAAAAASBGaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFKEZgAAAACQIjQDAAAAgBShGQAAAACkFDQ0mzZtWhx00EHRo0eP6N27d3zlK1+JZcuW1dsmSZKoqqqKioqKKC0tjWHDhsULL7xQoIoBAAAA6AwKGpotWLAgzjnnnHjiiSdi3rx58dFHH0VlZWV88MEH2W2mT58eM2bMiFmzZsWiRYuivLw8RowYEWvWrClg5QAAAAB0ZF0LefL77ruv3uMbbrghevfuHc8880wcccQRkSRJzJw5My688MIYOXJkRETcdNNNUVZWFrNnz46zzz67EGUDAAAA0MEVNDRLe++99yIiYscdd4yIiOXLl8eKFSuisrIyu01xcXEceeSRsXDhwkZDs+rq6qiurs4+Xr16dURE1NTURE1NTc5zb1iXb5vOqq33prhLUtjzFyX1/sv/0Zv89Cf3uNLWx51C05/cWqo3egsAQJsJzZIkiXHjxsXhhx8egwYNioiIFStWREREWVlZvW3Lysri1VdfbfQ406ZNiylTpjRYPnfu3Ojevfsm65g3b97mlt5ptNXeTD+40BV87EeD6wpdQpulN/l15v7MmTMn7/q2Ou60FfqT25b2Zu3atS1UCQAA7VWbCc3OPffceO655+LRRx9tsC6TydR7nCRJg2UbTJw4McaNG5d9vHr16ujXr19UVlZGz549c56/pqYm5s2bFyNGjIhu3bo181l0TG29N4Oq7i/o+YuLkvjR4LqY9HRRVNc1fl12VnqTn/5E/LnqqEaXt/Vxp9D0J7eW6s2GO9UBAOi82kRo9t3vfjfuvvvuePjhh6Nv377Z5eXl5RHx8R1nffr0yS5fuXJlg7vPNiguLo7i4uIGy7t169akyXNTt+uM2mpvqmvbRthQXZdpM7W0NXqTX2fuz6bGlLY67rQV+pPblvZGXwEAKOi3ZyZJEueee27cfvvt8eCDD8aAAQPqrR8wYECUl5fXe4vF+vXrY8GCBTF06NDWLhcAAACATqKgd5qdc845MXv27LjrrruiR48e2c8w23777aO0tDQymUyMHTs2pk6dGgMHDoyBAwfG1KlTo3v37jFq1KhClg4AAABAB1bQ0Ozqq6+OiIhhw4bVW37DDTfE6aefHhER48ePjw8//DDGjBkT7777bhxyyCExd+7c6NGjRytXCwAAAEBnUdDQLEmSTW6TyWSiqqoqqqqqtn5BAAAAABAF/kwzAAAAAGiLhGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAAAAAFK6FroACm+3CffkXV/cJYnpB0cMqro/qmszrVQVAAAAQOG40wwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgxbdnAlAwub69t718a+8rlx5b6BIAAICtxJ1mAAAAAJAiNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABSuha6AAAAADZfpu6jSApdxOaqrWn8z+1Apu6jQpcAtDKhGQAAQDu03ZJfF7qELdLjT7cWugSAvLw9EwAAAABS3GkGAADQTpSUlMS9995b6DKaLUmSqK6ujoiI4uLiyGQyBa6oeUpKSgpdAtAKhGYAAADtRCaTidLS0kKXsUW6d+9e6BIAmsTbMwEAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABSfHsmADTTbhPuKch5i7skMf3giEFV90d1babZx3nl0mNbsCoAAOhY3GkGAAAAAClCMwAAAABIEZoBAAAAQIrPNGsBhfpMGwAAAAC2DneaAQAAAECK0AwAAAAAUoRmAAAAAJAiNAMAAACAFKEZAAAAAKT49kwA6KTa+7c/v3LpsYUuAQCADsydZgAAAACQIjQDAAAAgBShGQAAAACkCM0AAAAAIEVoBgAAAAApQjMAAAAASBGaAQAAAECK0AwAAAAAUtpFaPazn/0sBgwYECUlJXHggQfGI488UuiSAAAAAOjA2nxo9pvf/CbGjh0bF154YSxevDg+97nPxdFHHx2vvfZaoUsDAAAAoINq86HZjBkz4swzz4xvfvOb8elPfzpmzpwZ/fr1i6uvvrrQpQEAAADQQXUtdAH5rF+/Pp555pmYMGFCveWVlZWxcOHCRveprq6O6urq7OP33nsvIiLeeeedqKmpyXmumpqaWLt2bbz99tvRrVu3zaqz60cfbNb27U3XuiTWrq2LrjVFUVuXKXQ5bY7+5KY3+elPbnqTn/587O23326wbEtezze2Zs2aiIhIkqTZx2Dr2/D/Z/Xq1QWuBABoTzbMHTY112vTodm//vWvqK2tjbKysnrLy8rKYsWKFY3uM23atJgyZUqD5QMGDNgqNXYWowpdQBunP7npTX76k5ve5Kc/ETtdsfXPsWbNmth+++23/ololg3hZr9+/QpcCQDQHm1qrtemQ7MNMpn6/4qeJEmDZRtMnDgxxo0bl31cV1cX77zzTvTq1SvnPhEfp4z9+vWL119/PXr27NkyhXcQepOf/uSmN/npT256k5/+5NZSvUmSJNasWRMVFRUtWB0traKiIl5//fXo0aOHeV4z6U1++pOb3uSnP7npTX76k1tL9qapc702HZrttNNO0aVLlwZ3la1cubLB3WcbFBcXR3Fxcb1lO+ywQ5PP2bNnTxdmDnqTn/7kpjf56U9uepOf/uTWEr1xh1nbV1RUFH379m3y9n5nctOb/PQnN73JT39y05v89Ce3lupNU+Z6bfqLALbZZps48MADY968efWWz5s3L4YOHVqgqgAAAADo6Nr0nWYREePGjYtTTjklBg8eHEOGDIlrr702Xnvttfj2t79d6NIAAAAA6KDafGh20kknxdtvvx0XX3xxvPXWWzFo0KCYM2dO9O/fv0XPU1xcHJMnT27w1k70ZlP0Jze9yU9/ctOb/PQnN72hMa6L3PQmP/3JTW/y05/c9CY//cmtEL3JJL5LHQAAAADqadOfaQYAAAAAhSA0AwAAAIAUoRkAAAAApAjNAAAAACClU4Rmu+22W2QymQY/55xzTqPbz58/v9HtX3zxxVauvOU9/PDD8aUvfSkqKioik8nEnXfeWW99kiRRVVUVFRUVUVpaGsOGDYsXXnhhk8e97bbbYu+9947i4uLYe++944477thKz2DrytefmpqauOCCC2KfffaJbbfdNioqKuLUU0+NN998M+8xb7zxxkavp3Xr1m3lZ9OyNnXtnH766Q2e46GHHrrJ43aGayciGr0GMplMXH755TmP2VGunWnTpsVBBx0UPXr0iN69e8dXvvKVWLZsWb1tOuvYs6nedPZxpynXTmcfezDP25h5Xn7mebmZ5+VnnpebeV5u5nn5tZd5XqcIzRYtWhRvvfVW9mfevHkREXHCCSfk3W/ZsmX19hs4cGBrlLtVffDBB7HffvvFrFmzGl0/ffr0mDFjRsyaNSsWLVoU5eXlMWLEiFizZk3OYz7++ONx0kknxSmnnBJ/+tOf4pRTTokTTzwxnnzyya31NLaafP1Zu3ZtPPvsszFp0qR49tln4/bbb4+XXnopvvzlL2/yuD179qx3Lb311ltRUlKyNZ7CVrOpayci4otf/GK95zhnzpy8x+ws105ENPj/f/3110cmk4l/+7d/y3vcjnDtLFiwIM4555x44oknYt68efHRRx9FZWVlfPDBB9ltOuvYs6nedPZxpynXTkTnHnswz9uYeV5+5nm5meflZ56Xm3lebuZ5+bWbeV7SCX3/+99PPvnJTyZ1dXWNrn/ooYeSiEjefffd1i2slUVEcscdd2Qf19XVJeXl5cmll16aXbZu3bpk++23T6655pqcxznxxBOTL37xi/WWHXXUUcnJJ5/c4jW3pnR/GvPUU08lEZG8+uqrObe54YYbku23375liyuwxnpz2mmnJccff/xmHaczXzvHH398Mnz48LzbdMRrJ0mSZOXKlUlEJAsWLEiSxNizsXRvGtNZx50kabw/xh7SzPM+Zp6Xn3lebuZ5+Znn5Weel5t5Xn5tdZ7XKe4029j69evj5ptvjjPOOCMymUzebQ844IDo06dPfP7zn4+HHnqolSosnOXLl8eKFSuisrIyu6y4uDiOPPLIWLhwYc79Hn/88Xr7REQcddRReffpKN57773IZDKxww475N3u/fffj/79+0ffvn3juOOOi8WLF7dOga1s/vz50bt379hjjz3irLPOipUrV+bdvrNeO//4xz/innvuiTPPPHOT23bEa+e9996LiIgdd9wxIow9G0v3Jtc2nXXcydUfYw8bmOflZqzdfJ15vG2MsbZpzPPM83Ixz8uvrc7zOl1oduedd8aqVavi9NNPz7lNnz594tprr43bbrstbr/99thzzz3j85//fDz88MOtV2gBrFixIiIiysrK6i0vKyvLrsu13+bu0xGsW7cuJkyYEKNGjYqePXvm3G6vvfaKG2+8Me6+++749a9/HSUlJXHYYYfFX//611asdus7+uij45ZbbokHH3wwrrjiili0aFEMHz48qqurc+7TWa+dm266KXr06BEjR47Mu11HvHaSJIlx48bF4YcfHoMGDYoIY88GjfUmrTOPO7n6Y+xhY+Z5uRlrN09nHm8bY6xtOvM887zGmOfl15bneV2btVc7dt1118XRRx8dFRUVObfZc889Y88998w+HjJkSLz++uvxX//1X3HEEUe0RpkFlf6X2SRJNvmvtc3Zpz2rqamJk08+Oerq6uJnP/tZ3m0PPfTQeh9WeNhhh8VnP/vZuOqqq+KnP/3p1i611Zx00knZPw8aNCgGDx4c/fv3j3vuuSfvpKGzXTsREddff32MHj16k5870BGvnXPPPTeee+65ePTRRxus6+xjT77eRBh3cvXH2MPGzPM2rbOPtU3R2cfbxhhrm848zzyvMeZ5+bXleV6nutPs1VdfjT/+8Y/xzW9+c7P3PfTQQ9t1ctsU5eXlERENEtiVK1c2SGrT+23uPu1ZTU1NnHjiibF8+fKYN29e3n8FaExRUVEcdNBBHf566tOnT/Tv3z/v8+xs105ExCOPPBLLli1r1jjU3q+d7373u3H33XfHQw89FH379s0uN/bk7s0GnX3c2VR/Nmbs6bzM8/Iz1jZNZx9vm8pY2zjzPPO8xpjn5dfW53mdKjS74YYbonfv3nHsscdu9r6LFy+OPn36bIWq2o4BAwZEeXl59lunIj7+bJAFCxbE0KFDc+43ZMiQevtERMydOzfvPu3VhgHtr3/9a/zxj3+MXr16bfYxkiSJJUuWdPjr6e23347XX3897/PsTNfOBtddd10ceOCBsd9++232vu312kmSJM4999y4/fbb48EHH4wBAwbUW9+Zx55N9Saic487TelPmrGn8zLPy68zj7VN1ZnH281lrG2ceZ553sbM8/JrN/O8Zn19QDtUW1ub7LrrrskFF1zQYN2ECROSU045Jfv4yiuvTO64447kpZdeSv785z8nEyZMSCIiue2221qz5K1izZo1yeLFi5PFixcnEZHMmDEjWbx4cfbbOS699NJk++23T26//fbk+eefT772ta8lffr0SVavXp09ximnnJJMmDAh+/ixxx5LunTpklx66aXJ0qVLk0svvTTp2rVr8sQTT7T689tS+fpTU1OTfPnLX0769u2bLFmyJHnrrbeyP9XV1dljpPtTVVWV3HfffcnLL7+cLF68OPnGN76RdO3aNXnyyScL8RSbLV9v1qxZk5x//vnJwoULk+XLlycPPfRQMmTIkGSXXXZx7Wz0zTfvvfde0r179+Tqq69u9Bgd9dr5zne+k2y//fbJ/Pnz6/3erF27NrtNZx17NtWbzj7ubKo/xh42MM/7mHlefuZ5uZnn5Weel5t5Xm7mefm1l3lepwnN7r///iQikmXLljVYd9pppyVHHnlk9vFll12WfPKTn0xKSkqST3ziE8nhhx+e3HPPPa1Y7daz4WvW0z+nnXZakiQffyXw5MmTk/Ly8qS4uDg54ogjkueff77eMY488sjs9hv87ne/S/bcc8+kW7duyV577dVuJ575+rN8+fJG10VE8tBDD2WPke7P2LFjk1133TXZZpttkp133jmprKxMFi5c2PpPbgvl683atWuTysrKZOedd066deuW7Lrrrslpp52WvPbaa/WO0VmvnQ1+/vOfJ6WlpcmqVasaPUZHvXZy/d7ccMMN2W0669izqd509nFnU/0x9rCBed7HzPPyM8/LzTwvP/O83MzzcjPPy6+9zPMy/79YAAAAAOD/61SfaQYAAAAATSE0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKUIzAAAAAEgRmgEAAABAitAMAACAduPGG2+MHXbYoWDnf+WVVyKTycSSJUsKVgPQOroWugAAAABoi04//fRYtWpV3Hnnndll/fr1i7feeit22mmnwhUGtAp3mgEAANCp1NTUNHvfLl26RHl5eXTt6h4U6OiEZgAAAGyW++67Lw4//PDYYYcdolevXnHcccfFyy+/nF3/xhtvxMknnxw77rhjbLvttjF48OB48skns+vvvvvuGDx4cJSUlMROO+0UI0eOzK5bv359jB8/PnbZZZfYdttt45BDDon58+fnrecPf/hDHHjggVFSUhK77757TJkyJT766KPs+kwmE9dcc00cf/zxse2228aPf/zjqK2tjTPPPDMGDBgQpaWlseeee8ZPfvKT7D5VVVVx0003xV133RWZTCYymUzMnz+/0bdnLliwIA4++OAoLi6OPn36xIQJE+qdf9iwYfG9730vxo8fHzvuuGOUl5dHVVVVMzoPtCbROAAAAJvlgw8+iHHjxsU+++wTH3zwQVx00UXx1a9+NZYsWRJr166NI488MnbZZZe4++67o7y8PJ599tmoq6uLiIh77rknRo4cGRdeeGH893//d6xfvz7uueee7LG/8Y1vxCuvvBK33nprVFRUxB133BFf/OIX4/nnn4+BAwc2qOX++++Pr3/96/HTn/40Pve5z8XLL78c3/rWtyIiYvLkydntJk+eHNOmTYsrr7wyunTpEnV1ddG3b9/47W9/GzvttFMsXLgwvvWtb0WfPn3ixBNPjB/84AexdOnSWL16ddxwww0REbHjjjvGm2++We/8f//73+OYY46J008/PX71q1/Fiy++GGeddVaUlJTUC8ZuuummGDduXDz55JPx+OOPx+mnnx6HHXZYjBgxosX+vwAtK5MkSVLoIgAAAGi//vnPf0bv3r3j+eefj4ULF8YPfvCDeOWVV2LHHXdssO3QoUNj9913j5tvvrnBupdffjkGDhwYb7zxRlRUVGSXf+ELX4iDDz44pk6dGjfeeGOMHTs2Vq1aFRERRxxxRBx99NExceLE7PY333xzjB8/PhtwZTKZGDt2bFx55ZV5n8c555wT//jHP+L3v/99RDT+mWavvPJKDBgwIBYvXhz7779/XHjhhXHbbbfF0qVLI5PJRETEz372s7jgggvivffei6Kiohg2bFjU1tbGI488kj3OwQcfHMOHD49LL710E90FCsWdZgAAAGyWl19+OSZNmhRPPPFE/Otf/8reRfbaa6/FkiVL4oADDmg0MIuIWLJkSZx11lmNrnv22WcjSZLYY4896i2vrq6OXr16NbrPM888E4sWLYpLLrkku6y2tjbWrVsXa9euje7du0dExODBgxvse80118Qvf/nLePXVV+PDDz+M9evXx/7777/J57+xpUuXxpAhQ7KBWUTEYYcdFu+//3688cYbseuuu0ZExL777ltvvz59+sTKlSs361xA6xKaAQAAsFm+9KUvRb9+/eIXv/hFVFRURF1dXQwaNCjWr18fpaWleffNt76uri66dOkSzzzzTHTp0qXeuu222y7nPlOmTKn3uWgblJSUZP+87bbb1lv329/+Ns4777y44oorYsiQIdGjR4+4/PLL6332WlMkSVIvMNuwLCLqLe/WrVu9bTKZTDZsBNomoRkAAABN9vbbb8fSpUvj5z//eXzuc5+LiIhHH300u37fffeNX/7yl/HOO+80erfZvvvuGw888EB84xvfaLDugAMOiNra2li5cmX22Jvy2c9+NpYtWxaf+tSnNut5PPLIIzF06NAYM2ZMdtnGX2YQEbHNNttEbW1t3uPsvffecdttt9ULzxYuXBg9evSIXXbZZbNqAtoW354JAABAk33iE5+IXr16xbXXXhv/+7//Gw8++GCMGzcuu/5rX/talJeXx1e+8pV47LHH4m9/+1vcdttt8fjjj0fExx/I/+tf/zomT54cS5cujeeffz6mT58eERF77LFHjB49Ok499dS4/fbbY/ny5bFo0aK47LLLYs6cOY3Wc9FFF8WvfvWrqKqqihdeeCGWLl0av/nNb+KHP/xh3ufxqU99Kp5++um4//7746WXXopJkybFokWL6m2z2267xXPPPRfLli2Lf/3rX1FTU9PgOGPGjInXX389vvvd78aLL74Yd911V0yePDnGjRsXRUX+yg3tmd9gAAAAmqyoqChuvfXWeOaZZ2LQoEFx3nnnxeWXX55dv80228TcuXOjd+/eccwxx8Q+++wTl156afbtlsOGDYvf/e53cffdd8f+++8fw4cPr/eWyBtuuCFOPfXUOP/882PPPfeML3/5y/Hkk09Gv379Gq3nqKOOiv/5n/+JefPmxUEHHRSHHnpozJgxI/r375/3eXz729+OkSNHxkknnRSHHHJIvP322/XuOouIOOuss2LPPfeMwYMHx8477xyPPfZYg+PssssuMWfOnHjqqadiv/32i29/+9tx5plnbjK0A9o+354JAAAAACnuNAMAAACAFKEZAAAAAKQIzQAAAAAgRWgGAAAAAClCMwAAAABIEZoBAAAAQIrQDAAAAABShGYAAAAAkCI0AwAAAIAUoRkAAAAApAjNAAAAACBFaAYAAAAAKf8PCwDmmIn/iK4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "model year\n",
      "Skew : 0.01\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Complete the below code by filling the blanks, before running this cell, to avoid any errors\n",
    "\n",
    "for col in data.columns:\n",
    "    print(col)\n",
    "\n",
    "    print('Skew :', round(data[col].skew(), 2))\n",
    "    \n",
    "    plt.figure(figsize = (15, 4))\n",
    "    \n",
    "    plt.subplot(1, 2, 1)\n",
    "    \n",
    "    data[col].hist()\n",
    "    \n",
    "    plt.ylabel('count')\n",
    "    \n",
    "    plt.subplot(1, 2, 2)\n",
    "    \n",
    "    sns.boxplot(x = data[col])\n",
    "    \n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "d6Vqxb0-u4D4"
   },
   "source": [
    "### **Checking the correlation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "VP3jF_XJvujg",
    "outputId": "888a9007-0881-4fbc-fe60-8d1bdcb21afd"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8, 8))\n",
    "\n",
    "sns.heatmap(data.corr(), annot = True)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "a71M7-jdvujg"
   },
   "source": [
    "**Observations:**\n",
    "- The variable mpg has a strong negative correlation with cylinders, displacement, horsepower, and weight.\n",
    "- horsepower and acceleration are negatively correlated.\n",
    "- The variable weight has a strong positive correlation with horsepower, displacement, and cylinders.\n",
    "- model year is positively correlated with mpg."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "WVuQ8rRuvujg"
   },
   "source": [
    "### **Scaling the data**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "PWPOuZzwu4D5"
   },
   "outputs": [],
   "source": [
    "# Scaling the data\n",
    "scaler = StandardScaler()\n",
    "\n",
    "data_scaled = pd.DataFrame(scaler.fit_transform(data), columns = data.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "id": "zj6upuANvujh",
    "outputId": "f2ebdab6-9906-46fb-8782-55eb129965e1"
   },
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.706439</td>\n",
       "      <td>1.498191</td>\n",
       "      <td>1.090604</td>\n",
       "      <td>0.673118</td>\n",
       "      <td>0.630870</td>\n",
       "      <td>-1.295498</td>\n",
       "      <td>-1.627426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-1.090751</td>\n",
       "      <td>1.498191</td>\n",
       "      <td>1.503514</td>\n",
       "      <td>1.589958</td>\n",
       "      <td>0.854333</td>\n",
       "      <td>-1.477038</td>\n",
       "      <td>-1.627426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.706439</td>\n",
       "      <td>1.498191</td>\n",
       "      <td>1.196232</td>\n",
       "      <td>1.197027</td>\n",
       "      <td>0.550470</td>\n",
       "      <td>-1.658577</td>\n",
       "      <td>-1.627426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.962647</td>\n",
       "      <td>1.498191</td>\n",
       "      <td>1.061796</td>\n",
       "      <td>1.197027</td>\n",
       "      <td>0.546923</td>\n",
       "      <td>-1.295498</td>\n",
       "      <td>-1.627426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.834543</td>\n",
       "      <td>1.498191</td>\n",
       "      <td>1.042591</td>\n",
       "      <td>0.935072</td>\n",
       "      <td>0.565841</td>\n",
       "      <td>-1.840117</td>\n",
       "      <td>-1.627426</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        mpg  cylinders  displacement  horsepower    weight  acceleration  \\\n",
       "0 -0.706439   1.498191      1.090604    0.673118  0.630870     -1.295498   \n",
       "1 -1.090751   1.498191      1.503514    1.589958  0.854333     -1.477038   \n",
       "2 -0.706439   1.498191      1.196232    1.197027  0.550470     -1.658577   \n",
       "3 -0.962647   1.498191      1.061796    1.197027  0.546923     -1.295498   \n",
       "4 -0.834543   1.498191      1.042591    0.935072  0.565841     -1.840117   \n",
       "\n",
       "   model year  \n",
       "0   -1.627426  \n",
       "1   -1.627426  \n",
       "2   -1.627426  \n",
       "3   -1.627426  \n",
       "4   -1.627426  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_scaled.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3.980000e+02</td>\n",
       "      <td>3.980000e+02</td>\n",
       "      <td>3.980000e+02</td>\n",
       "      <td>3.980000e+02</td>\n",
       "      <td>3.980000e+02</td>\n",
       "      <td>3.980000e+02</td>\n",
       "      <td>3.980000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2.761610e-16</td>\n",
       "      <td>-5.171742e-16</td>\n",
       "      <td>-8.312725e-17</td>\n",
       "      <td>1.458911e-16</td>\n",
       "      <td>-9.902743e-17</td>\n",
       "      <td>8.982206e-17</td>\n",
       "      <td>-8.837152e-16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.001259e+00</td>\n",
       "      <td>1.001259e+00</td>\n",
       "      <td>1.001259e+00</td>\n",
       "      <td>1.001259e+00</td>\n",
       "      <td>1.001259e+00</td>\n",
       "      <td>1.001259e+00</td>\n",
       "      <td>1.001259e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-1.859374e+00</td>\n",
       "      <td>-1.444949e+00</td>\n",
       "      <td>-1.204411e+00</td>\n",
       "      <td>-1.527300e+00</td>\n",
       "      <td>-1.604943e+00</td>\n",
       "      <td>-2.747814e+00</td>\n",
       "      <td>-1.627426e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-7.704907e-01</td>\n",
       "      <td>-8.563206e-01</td>\n",
       "      <td>-8.563178e-01</td>\n",
       "      <td>-7.414364e-01</td>\n",
       "      <td>-8.828266e-01</td>\n",
       "      <td>-6.328794e-01</td>\n",
       "      <td>-8.150739e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>-6.591883e-02</td>\n",
       "      <td>-8.563206e-01</td>\n",
       "      <td>-4.314040e-01</td>\n",
       "      <td>-2.830161e-01</td>\n",
       "      <td>-1.973624e-01</td>\n",
       "      <td>-2.472221e-02</td>\n",
       "      <td>-2.721449e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.027050e-01</td>\n",
       "      <td>1.498191e+00</td>\n",
       "      <td>6.584879e-01</td>\n",
       "      <td>5.421404e-01</td>\n",
       "      <td>7.538337e-01</td>\n",
       "      <td>5.834349e-01</td>\n",
       "      <td>8.096310e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2.957335e+00</td>\n",
       "      <td>1.498191e+00</td>\n",
       "      <td>2.511784e+00</td>\n",
       "      <td>3.292662e+00</td>\n",
       "      <td>2.565185e+00</td>\n",
       "      <td>3.351912e+00</td>\n",
       "      <td>1.621983e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                mpg     cylinders  displacement    horsepower        weight  \\\n",
       "count  3.980000e+02  3.980000e+02  3.980000e+02  3.980000e+02  3.980000e+02   \n",
       "mean   2.761610e-16 -5.171742e-16 -8.312725e-17  1.458911e-16 -9.902743e-17   \n",
       "std    1.001259e+00  1.001259e+00  1.001259e+00  1.001259e+00  1.001259e+00   \n",
       "min   -1.859374e+00 -1.444949e+00 -1.204411e+00 -1.527300e+00 -1.604943e+00   \n",
       "25%   -7.704907e-01 -8.563206e-01 -8.563178e-01 -7.414364e-01 -8.828266e-01   \n",
       "50%   -6.591883e-02 -8.563206e-01 -4.314040e-01 -2.830161e-01 -1.973624e-01   \n",
       "75%    7.027050e-01  1.498191e+00  6.584879e-01  5.421404e-01  7.538337e-01   \n",
       "max    2.957335e+00  1.498191e+00  2.511784e+00  3.292662e+00  2.565185e+00   \n",
       "\n",
       "       acceleration    model year  \n",
       "count  3.980000e+02  3.980000e+02  \n",
       "mean   8.982206e-17 -8.837152e-16  \n",
       "std    1.001259e+00  1.001259e+00  \n",
       "min   -2.747814e+00 -1.627426e+00  \n",
       "25%   -6.328794e-01 -8.150739e-01  \n",
       "50%   -2.472221e-02 -2.721449e-03  \n",
       "75%    5.834349e-01  8.096310e-01  \n",
       "max    3.351912e+00  1.621983e+00  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# if check summary stats should have the same scale\n",
    "\n",
    "data_scaled.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eIAZ2xZuvujh"
   },
   "source": [
    "## **Principal Component Analysis**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4B9fk5wTvuji"
   },
   "source": [
    "### **Question 3:**\n",
    "\n",
    "- **Apply the PCA algorithm with number of components equal to the total number of columns in the data (2 Marks)**\n",
    "- **Write your observations on the variance explained by the principal components (2 Marks)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "SqS_ahV0vuji"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.71476787 0.1236554  0.10414042 0.02671968 0.01778617 0.00790889\n",
      " 0.00502158]\n"
     ]
    }
   ],
   "source": [
    "# Defining the number of principal components to generate \n",
    "n = data_scaled.shape[1]\n",
    "\n",
    "# Finding principal components for the data\n",
    "pca = PCA(n_components=n, random_state = 1)  # Apply the PCA algorithm with random_state = 1\n",
    "\n",
    "data_pca1 = pd.DataFrame(pca.fit_transform(data_scaled))   # Fit and transform the pca function on scaled data\n",
    "\n",
    "# The percentage of variance explained by each principal component\n",
    "exp_var = pca.explained_variance_ratio_\n",
    "\n",
    "print(exp_var)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "id": "1OiDLM52vuji",
    "outputId": "a19b17aa-644e-457f-ce5b-df84a4c792ae"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the explained variance by individual components\n",
    "plt.figure(figsize = (10, 10))\n",
    "\n",
    "plt.plot(range(1, 8), exp_var.cumsum(), marker = 'o', linestyle = '--')\n",
    "\n",
    "plt.title(\"Explained Variances by Components\")\n",
    "\n",
    "plt.xlabel(\"Number of Components\")\n",
    "\n",
    "plt.ylabel(\"Cumulative Explained Variance\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "id": "qclnWlJ9vujj",
    "outputId": "d0a90e0f-be3d-4cd0-ca40-5e506efb09d3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of PCs that explain at least 90% variance:  3\n"
     ]
    }
   ],
   "source": [
    "# Finding the least number of components that can explain more than 90% variance\n",
    "sum = 0\n",
    "\n",
    "for ix, i in enumerate(exp_var):\n",
    "    sum = sum + i\n",
    "    if(sum>0.90):\n",
    "        print(\"Number of PCs that explain at least 90% variance: \", ix + 1)\n",
    "        break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-P3Hl-3Pvujj"
   },
   "source": [
    "**Observations:**\n",
    "\n",
    "* This means we can comfortable consider 3 principal components to understand the variation in the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "_G_-CsZJvujj",
    "outputId": "bcdbe123-e1f6-470b-ded9-91d18eeaf1a1"
   },
   "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>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>PC3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mpg</th>\n",
       "      <td>-0.40</td>\n",
       "      <td>-0.21</td>\n",
       "      <td>-0.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cylinders</th>\n",
       "      <td>0.42</td>\n",
       "      <td>-0.19</td>\n",
       "      <td>0.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>displacement</th>\n",
       "      <td>0.43</td>\n",
       "      <td>-0.18</td>\n",
       "      <td>0.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>horsepower</th>\n",
       "      <td>0.42</td>\n",
       "      <td>-0.09</td>\n",
       "      <td>-0.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight</th>\n",
       "      <td>0.41</td>\n",
       "      <td>-0.22</td>\n",
       "      <td>0.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acceleration</th>\n",
       "      <td>-0.28</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model year</th>\n",
       "      <td>-0.23</td>\n",
       "      <td>-0.91</td>\n",
       "      <td>-0.02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               PC1   PC2   PC3\n",
       "mpg          -0.40 -0.21 -0.26\n",
       "cylinders     0.42 -0.19  0.14\n",
       "displacement  0.43 -0.18  0.10\n",
       "horsepower    0.42 -0.09 -0.17\n",
       "weight        0.41 -0.22  0.28\n",
       "acceleration -0.28  0.02  0.89\n",
       "model year   -0.23 -0.91 -0.02"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pc_comps = ['PC1', 'PC2', 'PC3']\n",
    "\n",
    "data_pca = pd.DataFrame(np.round(pca.components_[:3,:], 2), index = pc_comps, columns = data_scaled.columns)\n",
    "\n",
    "data_pca.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZDG7G_ZDvujk"
   },
   "source": [
    "### **Question 4: Interpret the coefficients of the first three principal components from the below DataFrame (4 Marks)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "id": "mi16_6Bxvujk",
    "outputId": "5a1d6297-5d23-4588-d369-64a694b72b18"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_783e3_row0_col0, #T_783e3_row6_col1 {\n",
       "  background: pink;\n",
       "}\n",
       "#T_783e3_row1_col0, #T_783e3_row2_col0, #T_783e3_row3_col0, #T_783e3_row4_col0, #T_783e3_row5_col2 {\n",
       "  background: skyblue;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_783e3\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_783e3_level0_col0\" class=\"col_heading level0 col0\" >PC1</th>\n",
       "      <th id=\"T_783e3_level0_col1\" class=\"col_heading level0 col1\" >PC2</th>\n",
       "      <th id=\"T_783e3_level0_col2\" class=\"col_heading level0 col2\" >PC3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_783e3_level0_row0\" class=\"row_heading level0 row0\" >mpg</th>\n",
       "      <td id=\"T_783e3_row0_col0\" class=\"data row0 col0\" >-0.400000</td>\n",
       "      <td id=\"T_783e3_row0_col1\" class=\"data row0 col1\" >-0.210000</td>\n",
       "      <td id=\"T_783e3_row0_col2\" class=\"data row0 col2\" >-0.260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_783e3_level0_row1\" class=\"row_heading level0 row1\" >cylinders</th>\n",
       "      <td id=\"T_783e3_row1_col0\" class=\"data row1 col0\" >0.420000</td>\n",
       "      <td id=\"T_783e3_row1_col1\" class=\"data row1 col1\" >-0.190000</td>\n",
       "      <td id=\"T_783e3_row1_col2\" class=\"data row1 col2\" >0.140000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_783e3_level0_row2\" class=\"row_heading level0 row2\" >displacement</th>\n",
       "      <td id=\"T_783e3_row2_col0\" class=\"data row2 col0\" >0.430000</td>\n",
       "      <td id=\"T_783e3_row2_col1\" class=\"data row2 col1\" >-0.180000</td>\n",
       "      <td id=\"T_783e3_row2_col2\" class=\"data row2 col2\" >0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_783e3_level0_row3\" class=\"row_heading level0 row3\" >horsepower</th>\n",
       "      <td id=\"T_783e3_row3_col0\" class=\"data row3 col0\" >0.420000</td>\n",
       "      <td id=\"T_783e3_row3_col1\" class=\"data row3 col1\" >-0.090000</td>\n",
       "      <td id=\"T_783e3_row3_col2\" class=\"data row3 col2\" >-0.170000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_783e3_level0_row4\" class=\"row_heading level0 row4\" >weight</th>\n",
       "      <td id=\"T_783e3_row4_col0\" class=\"data row4 col0\" >0.410000</td>\n",
       "      <td id=\"T_783e3_row4_col1\" class=\"data row4 col1\" >-0.220000</td>\n",
       "      <td id=\"T_783e3_row4_col2\" class=\"data row4 col2\" >0.280000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_783e3_level0_row5\" class=\"row_heading level0 row5\" >acceleration</th>\n",
       "      <td id=\"T_783e3_row5_col0\" class=\"data row5 col0\" >-0.280000</td>\n",
       "      <td id=\"T_783e3_row5_col1\" class=\"data row5 col1\" >0.020000</td>\n",
       "      <td id=\"T_783e3_row5_col2\" class=\"data row5 col2\" >0.890000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_783e3_level0_row6\" class=\"row_heading level0 row6\" >model year</th>\n",
       "      <td id=\"T_783e3_row6_col0\" class=\"data row6 col0\" >-0.230000</td>\n",
       "      <td id=\"T_783e3_row6_col1\" class=\"data row6 col1\" >-0.910000</td>\n",
       "      <td id=\"T_783e3_row6_col2\" class=\"data row6 col2\" >-0.020000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1ed64841820>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def color_high(val):\n",
    "    if val <= -0.40:\n",
    "        return 'background: pink'\n",
    "    \n",
    "    elif val >= 0.40:\n",
    "        return 'background: skyblue'   \n",
    "    \n",
    "data_pca.T.style.applymap(color_high)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oG5orJKGvujk"
   },
   "source": [
    "**Observations:__________________**\n",
    "\n",
    "* PC1 is mainly made up of the build of car\n",
    "* PC2 is how the car can perform \n",
    "* PC3 is mostly about the year"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jZo1h9pNvujk"
   },
   "source": [
    "#### We can also visualize the data in 2 dimensions using the first two principal components "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "id": "7iWxTqHfvujl",
    "outputId": "c19271e0-592d-4875-896c-5b476f22bf20"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QbAouEEtEdsFARtJw2my4XL0zoeFRrOkIZH1+WmvWEj1xb7w3gE3LWwEgLZQtLuLFUPOdIUtEZDRXPB6Pi26EVcLhMLxeL0KhEGpqakQ3h3QIRWIZyzUkLGlpkHI2XCgSw5qOgGLvjN9Xj9amOmze2Vnw8wt0D2DZln0AAI+7FO1tzWidVYvo2AQqykrQNM2DlulTC3ouskv0vHKBWCIykp7cwR4ykoITZ8Nl653x++qxyt+MtR0BAIU/v9SeuMRCsaleXXdhXo/rJNw0nIhEYyAj21GqExuMOnM2XKIW7C/BYbzbH0FFWQkCR4NY2xFAJDaevF8hz8/IOikn1fAREdkJAxnZSrY6sfuunJfco1GJzLPhvJ6Ta4Td9PSbaT9PHV4cnYij6/hgXgEo0RN3z46D+PSMmuRwZZ2nHE3TPJofz2k1fEREdsIaMrKNXHVil8+fgfXPHVC8TcYaslR/GYjgu8/ux56Piu097lJsWt6KbXuPpBXgFxKA/ufDCNY/tx+783g8O9XwsZeOiGShJ3dwHTKyjVx1Ymc31ea1GbfdhSIx3PPCIaz0N8PvqwcAtLc1Z4QxIPuisaFITHXD8FAkhvXbD6SFMbXHmyzfNdOM1hMcxuqOAJY+sgvLtuzD0od3YU1HAD3BYUv+PhGRWThkSbaRa12u4dh4XvtF2l3fYAz//sde7OvqR3tbM9r9zfjE1ArFDcKBzCJ/LUOJhU6KsMOK9tx3koicjIGMbEPLqulOnA2XCDupMyC3XH+26u8kApDWkFJooLLDivZOnGlLRJTAIUuyDS17NDqRUtipKFP/aiYCkNahxEIDlR3eGzv00hERmYWBjGwjnz0anUAp7ASOBpP1ZJOlBiCtIaXQQGWH98YOvXRERGbhkCXZip49Gp1CaYHYrXuOYOvKc1HicmXUhqUGIK0hxYgtgkS/N9x3koicjMteENmE0vY9AFQDkNr2S0rLUci+RVBPcDhrqJzBtdCIyGb05A4GMiLJFVtIkT1UElHx4F6WRJLTs/ip6KFEqzlxpi0REQMZkc3ks0URQwoRkdwYyIhsRGldMY+7FAtm1eLdviG8HxqG1+PmdkFERA7DQEZkI5PXFUvd0zJ15X5u6i0P7r1JRFowkBHZyOR1xXLtacntguwtn+FnIipOXBiWyEYmryvWOqs2I4wlWLmpN+mXa1urXBu6E1FxYSAjspHJK+pHxyZU769lu6BQJIau3kEEugfQdXyQQcAiWre1IiICOGRJZCuTV9TXuqdlNhwyE4d7bxKRHuwhI7KZxLpir667EE3TPFic5x6UVgyZsfctO+69SUR6sIeMyIZS1xX7UZ57UGoZMitkQgB739Rx700i0oOBjMjm8l2J38whs1y9b5z9acyG7kRUPBjIiCSQz0r8Zg6Zmd375hTFtq0VEeWPgYzIocwcMmPBunbc1oqItGBRP5FE9BTRJ4bMlkyaFGDEkBkL1gvDyRBENBl7yIgkkU8RvVlDZixYzx8nQxCRElc8Ho+LboRVwuEwvF4vQqEQampqRDeHSLNQJIbVHQHFuq0lLQ1Ciuh7gsNZC9ZnMFgoyvd95H6YRHLSkzvYQ0YkATsW0bNgXb983kf2qBEVBwYyIgnYtYieBev66H0fJy8v4nGXor2tGa2zavHHY2EMRcfQOLWC7wGRAzCQEUmARfTOkOt9rHKXJv8/FInhWGgEy89rwip/Mw78JYj5n/TiiT1HsHlnZ/J+7C0jcgYGMiIJOLWIvthqo9TeR7+vHm92B3FKTSWGYuMZw5QPLJuHbXuOYG9nf9rvcTFeImfgshdEEjBzCQtReoLDWN0RwNJHdmHZln1Y+vAurOkIoCc4LLpphkssc/Fu/xDuvfJM+H31abf7ffVY5W/G/S/9Ab0nooq7IEyvqcTuSWEsIVF/RkTyYg8ZkSScVERfTFsvTS7K//E3zkFrUx3a/c2Ijk2goqwEgaNBrO0IIBIbR2h4VLHwPzo2ofp3uBgvkdwYyEgadhveEtEepxTR23HWqBmUgmdZiSutBmwyT0odWaqKMvUBDdYREsmNgYykYLep/3Zrj2zsOmvUaErBM3A0CL+vPqMWDDj5GZriVj4s5/o9WesIiegk1pCR7eUa3rJ62xmj2lPM2+cUy6xRpeC5dc8RrPI3p9WRedyl2Hj1fNzxxdPRPxRFx7fOx+pLfGm9ZVv3HMGaS1ocVUdIRB9jDxnZnt2Gt4xoT7H3sDl11uhkSsEzEhvH2o4A2tuacdcXz0BsbBw1VW7c9fxBrH/uQPJ+bb56bFremqwtWzS7DnOmeRxTR0hE6RjIyPbsNrxVaHuKqaA9m8Ss0WxbLznl+WcLnpHYOPYfDeJbbc0AcHI7pc70++zp7IfL5cKOm/0ocbnSgpdTXh8i+hgDGdme3Ya3Cm2P3Xr8RHHSrNFstATPrt7BrJ+H3Yf7UOJyYW5jtVVNJiJBGMjI9uw2vFVoe+zW4yeSU2aNqskVPPl5ICKARf1koXyL2O22KGqh7bFbjx+Zz+txY25jNRY21WFuY3XaZ4SfByIC2ENGFim0iN1uw1uFtMduPX5GsttacTJw8ueBiLRzxePxuOhGWCUcDsPr9SIUCqGmpkZ0c4pGKBI7WbSc5YRTDEXsk/UEh7PWFc2QdJZlsc8cLYQTPw9EpC93MJCR6bp6B7H0kV1Zb3913YVFWbSc6E2yQ49foRi6C+ekzwMRnaQnd3DIkkxnRtGyE4bGnFTQzpmjhXPS54GI9GMgI9MZXbTMoTH74UxBIqLCcJYlmS5RtKxEb9Gy3bZRopM4U5CIqDAMZGQ6I5et0DI0RtYzMnQTERUjFvWTZQopWk78bv9QDIPRMbzZPYCte44gEhtPu9/zN12AhU11ZjSfcuBMQSKidI4t6n/ttdfw4IMP4o033sCxY8ewfft2XHXVVaKbRRrlW7SsVDPmn7TxcoLeoTErJwc4YSKCGrutFUdEJBOpAtnQ0BDOOussrFq1Ctdcc43o5pAFstWM7e3sBwC0tzVj885OAPqHxqycHJDv35ItxHGmIBFRfqQKZJdffjkuv/xy0c0gC6nVjO3t7Ee7vxmA/nq0XJMDjFw3K9+/xdmkRETFQ6pAplc0GkU0Gk3+OxwOC2wN5SPXcgpTK8vx6roLdQ+NWbluVj5/a3KI87hL0d7WjNZZtfjjsTCGomNonFrB3igiIodwdCDbuHEj7r33XtHNoALkWk6hfoo7r1X+rVw3K5+/lRriPO5SbFreim17jySHZwH2lhEROYmjl71Yv349QqFQ8r+jR4+KbhLpZNZyClaum5XP30oNce1tzdi290iybi6Ba68RETmHowNZRUUFampq0v4juRi5hlkqK9fNyudvpYa41lm1GWEsgWuvERkrFImhq3cQge4BdB0f5AUPWcbRQ5bkDGYsp5AIetnWzTKyNiufv5UIca8d7kN0bEL18bktEZExOJGGRJIqkA0ODqKz8+MamiNHjuCtt97CtGnT0NTUJLBlZDYzllMwc90speUq9Pyt1BBXUabekc1tiZTJtmQIiRWKxHD3joM4a1YtVl4wB9GxCVSWl+LN7gHcs+MgHrr2LH5+yFRSrdT/m9/8BhdffHHGz1esWIEnn3wy5+9zpX6yglFX2aFIDMHIKMYn4rjnxUMZMzU97lLcdcUZWDS7DoPRMYaOFOzpIL2B/J3jg3inbyijXtPvq8cqfzNOa5iC0z6hfwIRFTc9uUOqQFYoBjIyWygSw+qOgOIyF0taGjSvb5YaKBKzLJ/cewR7PjpReNyl2LryXPz9zk7s7swvdDi1B8mo94DklU8gf/uDE7j3xUOK9Zp+Xz02fOlMtEyfalqbyZkcu3USkd0Zsb7Z5DXIIrFxfO/Z/fjRNQuw/vLTMRQbwyeqK3D3jkNpYSzxN7QsbOvkHiQr15gj+8l3IeaJiXjWyTN7O/sxPlE0fRckiKNnWRJZzYj1zSYHCo+7FD+8ZgG27j2CLz62B1/98X/hnb6hjDCWkGvmZa4TluyzyqxcY47sR0sgVxKJjak+buqeuURmYCAjMpAR65tNDhRK65AVMvMy3xOWLKxcY47sJ99A7q1S7zX1VvFzQ+ZiICMykBHrm00OFErrkBUy89LpPUhWrjFH9pNvIOfnhkRjICMykBEL2U4+MSj1hgWOBuH31Sv+fq6Th9N7kMxaTJjkkG+w4ueGROMsSyITJGYw5ru+WU9wOLmQ7BMrFuGGp15Puz11f8vU3rPEyWOGSmF+KBLDmo5A2iK1qb/vlFmIhb4HJK/U70+Clu8GkPm5qa4sw1B0DKFhZ81GJmtw2YssGMhIJokTw0Q8jvte+oPqOmRD0TFdoaOQExaRDIwI5E6ejUzWYCDLgoGMZGVGgGIPElF2XM+OjMB1yIgEMmPBVbP28+QJhUiZbOvZOXWh52LCQEZkIDOHOBig7IMnP+eTaTYyh1adgbMsiQzi9AVX6aSe4DBWPxPA0kd2YdmWfVj68C6s6QigJzgsumlkIFlmI/O44xwMZEQGcfqCq/TRye9f9ytuWfVdnvwcRZZ1yXjccQ4GMiKDyDTEQfnpPRHNumXV7sN96D0RtbhFZBZZ1iXjccc5WENGZBBZhjgof8Fh9ZNbKMftJBczJtOoyac2kccd52AgI1uRrVg6tb3VFWXYePV83P/SHzI2IrbTEAflb4q7VPV2T47bST5WTabJtzA/MbSabaFnHnfkwUBGtiHbTCGl9i5uacDWleei/cnfJUOZ3YY4KH9V5aXw++oz9hYFAL+vHlPcPKSSfrkK89XWPEsMrWZbp5DHHXnw6EG2UMgBSYRs7d19uA8uAL9auxgDkRgXXHWARC9oaDgGj7sUay72AUBaKPP76rHmkhbUejg8RPoVuuaZlqFV2UYfihEDGdmCbIsw5mrv2EQcC5vqLG4VGW1yL6jHXYptKxfhivkz0e5vRnRsAhVlJfggPIIZNZW2+oySPPIpzFcKWHMbqxV/X7bRh2LFQEa2INtMIdnaS/op9YJGYuNY9eTruPOLp8NbVZ6cVdkTGkH/UBS1nnKGMtJNb2F+toB135XzEBqOobry4x4w2UYfihkDGdmCbDOFZGsv6ZetFzQSG8ft2w/iiRWLcNPTbyZ/fnZTHV4++D7ObqpFJDbOYSHSTE9hvlrAuuP5A2htqsPmnZ3JHrDh2LhUow/FjOuQkS3IsghjgmztLRahSAxdvYMIdA+g6/hgQQu15uoFjY5NJP/f76tHQ7UbL+3vwV89upsr+JMuetY8UyuX2NvZj9ZZtQBSVuofVv8OsDffPthDRrYg20wh2dpbDIyuk8nVC1pRdvJ61u+rx21/9Rk8+u9vZ8y+5LAQaaV1zTM9FwqvHe7D7V84XfX+7M23DwYysg2rF2Es1BR3Ke6/ch6GYmOIxMbhrSpH49QK27bXycyok1EbRlrc0oBpU9x4YsUiBI4GMTAUw84/HVd8HA4LkVZa1jzTeqGQUFri4jplkmAgI1uxahHGQqn1xng9xv0dTlXXxoxZumq9oPddOQ9f2LQ7udbcluvPVn0sDguRUVQvFHwnLxS2rjwXb3YPYOueIygtcbE3XxIMZEQ6WTVriVPVtTNr1mu2XlsAWDS7LnmCm9wrMRmHhcgo2S4U2nz1WOGfg+v/8b8RiY3D76vH1pXnov6jiziZRh+KFQMZkU5WrJnGqer6mDnrNVuvbepJMXA0mHUFfw4LkdFSLxRCw6MYGR3Hvnf6sbYjkOy13dvZjxKXC5uXtwLIf/SBvfTWYSAjKYk8SFixBplsC+WKJmI/v9ST4lB0FF85+1TcveMgh4XIEomA1dU7iKsf36d4n90FHivYS28tBjKSjuiDhBVrkOkNfWnb+1SUocTlQlmJKzlc4XSiZr1O7nXgsBBZzawLRPbSW4+BjKRih4OEFb0xekKfUkD1++qxyt+MjS//EfdeOa8ormbtMEtXlkkp5BxmXSCyl956XBiWpKLlIGE2PYs45kvrwrPZAurezn5s23sEn55Rc3JxyBwLpBq5oKpIXs/J/fwWNtVhbmM1TxjkeGYtUs3t4azHHjKSil0OEmb3xmgdgsu1ane7vxmbd3aqXs2KHgImovyZNVxvVM8bJwVox0BGpjDrS2inPSTNHp7SEvq0rtqdLajaYQiYiApjxgWiEaUZvNjTh4GMDGfml1DEbDqRcoU+rat2ZwuqrBMhcgajLxAL7XnjxZ5+DGRkKLO/hNxDMp1aQPX76hE4GlQNqnYZAiYi+ymk540Xe/oxkJGhrPgS2mE2nV1kC6iJWZY/+213MqgqDiNX2WcImIjsJ9+eN17s6cdARoay6kvI5QU+NnnVbo+7FKUlLpSWuPDQtWfB63FnHUZ+YNl8fP70Rrzyx96Mx3XiEDARGUetVthO9b6yYCAjQ/FLKIZaQFUbRr59+wFsvHo+omMTeQ8BcxYVUfHJVStcbPW+RmAgI0PxS2g/uYaRR0Yn8h4C5iwqouKjtVaY9b76MJCRofgltB8tw8haF1FN7Q2bNsWNO7cfxO5OzqIiKiZaa4UT5RT9QzGMT8QxPhFHJDaGyOg4QhEW9U/GQEaGY9G9vRg1jDy5N+yJFYsywlgCZ1FRMXP6ML6eWmGvx42h2Dh70jVgICNTsOjePowYRlYaokgsOpuNFbOonH7iI/kUwzC+nos8rkemHfeyJHI4I/beVBqiSCw6m43ZEzh6gsNY3RHA0kd2YdmWfVj68C6s6QigJzhs6t8lyiZX+JB1j9jJ9OyfaYf9h2XBHjIijWTujSl0GFlpiCJwNAi/rx57O/szbjN7AgevusmOimUxVD21wlyPTDsGMrIFu4edbMMQ9105D6HhGKor7dfmyQoZRlYaoti65wj+/utn44vzZ2B6TSWiYxOoLC/FB+ERXPypT5j6WhTLiY/kUkzhQ+tFHpdC0o6BjISze82FWm/MHc8fQGtTHTbv7MTnT2/Ehi+fiZHRCcVgaffQqSZbHVoccfzqwDHsTuklW9LSgAs/9QlT25PPiU/P6y/ze0XiFFv40HKRx6WQtGMgI6FkGHpS643Z29mPdn8zPO5SfO28Jtz27P60IbxEsHQBuM3GoTMXpSGK9rZmPLHnSMaQpRXvnd4Tn57Qb/cLBLIvho9MXApJO1c8Ho+LboRVwuEwvF4vQqEQampqRDeHAHT1DmLpI7uy3v7qugsxt7HawhZlCnQPYNmWffC4S9He1ozWWbXJ4bk3uwcw/5NeHPhLCIHugaz1VJfPn4H1zx1QvM0OoVOrRM/RiZFRVJaX4rK/2531vma+d6FIDGs6AllPfKmvaSgSw+qOgGKoLuS+REp6gsNZw8eMIg70qceOYloKSU/uYA8ZCSVDzUVNZTk87lJsWt6KbXuPYPPOzuRtfl89vrxgJipKS9J+nuq1w31YccGcrLfJVO+UOkQR6B5Qva+Z752eq2499WZm1aZxCLR4aKmtKsbPA5dCyo2BjISSoeaiodqNu644A9v2Zg7P7e3sx/0vHcK6Sz+t+hhqa3bZIXTmQ/R7p7WoWE/oN+MCgUOgxUctfPDzQNlwHTISSs96NlqEIjF09Q4i0D2AruODhqz74/W4cXZTreJwJADs7uxHWalL9TEqy0ux+hIfnlixCFuuPxtbV56L1Zf44HGX2iJ05sPo9y4fXo8bcxursbCpLuv2T3qCo9Ehs1jWpSJt+HkgNewhI6GMLPg088ozEhtXvX0gMoo2Xz32ZKkhm+GtRKB7IGO4c+vKc6Ut9JWlWFdPobXRRdlcnoNS8fNAahjISDgj9r40e7Zmrp6TxqkV+OHVC3D79gMZ4eSBZfOx4YVDisOdJS4XNi9vzbtdosmwb6me4Gh0yJShRpKsw88DqWEgI1sotODT7CvPXD0nM2oq4fW4FcNJ/1AM//6nXsXH3e2Aq2IZinX1BEcjQ6boOjuyF34eSA0DGTmC2VeeWntOlMLJO31DpraNtNETHI0KmVyXilIZ9XkoxlmaxYCBjBzBiivPfHtOzGobD8r2J0udHVnDiM8DZ2k6FwMZOYJVPRH59JyY0TYelOUhQ51dsbPy4qaQz4MMO5tQ/rhSPzmGnVfINrJtXE2eyDgyXdzIsLMJpeNK/VSU7NwTYWTbOHWeyBiy9ThxlqazMZCRo9h5xp9RbeNBmcgYsl3ccJams3GlfiLJ8KBMZAzZLm7ssDuGGczYYUVG7CEjkgyXUlCnt0Cbs1WLl2wXN06ctStTDZ/ZWNRPJCE7T2AQSe/BnSeD4haKxPDywffROLUC0bEJVJaX4s3uAWzdcwSLZtfZroYsIXERYbdaWb2KYYKSntzBQEYkWL49NE45KBtF78HdypOB2nvMHjpxeoLD+O6/7sfuzo8/A35fPdZc0oLGqRUAgPqP3g++T8YrhlmjnGVJJIlCemjsPIFBBL0F2lYVdKu9xy4At026bXFLA+6/ch7qPOV8f02UnGHZmf4Z2NvZjxIA58yZhkf//TA+f3oj7rriDNzx/EH2pBrM7Bo+2UI0i/qJBMk15V5rYauWgthiKJrVe3C3oqA713v8m7ePZ9y2+3Af7nj+AF4++D56gsMFt4GUqQXy3Z39mP9JLwDg0zNqsH77gYK/p5TJzBq+nuAwVncEsPSRXVi2ZR+WPrwLazoCtv5OsYeMSBAjemi09LAVS52U3oO7FQXdud7jFRfMUbxtb2c/2v3NtlwLyylyBfLo2AQAoHVWLTbv7AQAeNylaG9rRuus2mTNWTAyyvcnT2ZNUJJtfbkE9pARCVJoD42WHjajeuH0EtEjV11ZhsU6lgSwYgkBrSf9bLclgjkZL1cgryg7eXpMvEcedyk2LW9FoHsANzz1Om56+k20P/k73LnjoK17XewsMWt08vew0FmjWi527Yg9ZESCFNpDo/WgY/XClyJ65HqCw7h7x0GsuGAOJuJx7O3sT/vbSgd3K5YQ0HrSV7vNbmthOYVa74zfV4/A0SCAj9+H9rZmbNt7JO2zBZz8ftm518XuzNhhRbb15RIYyIgEKbS7XstBJ3UKtdJwy4TBk6xFDBWk/s19Xf1ob2tGu78Z0bEJ1FaVY25jNabXVCr+rtnbbeV6j3tPRBV/LzUQ2G0tLKfIFsj9vnqs8jdjbUcAABA4GkSbrz5t6HIyO67qLxOjJyjluhByl5Wg6/ig7Yr8GciIBCm0h0ZPD1tiuGXb3iNpJ5XFH/0to3quRGxFk/o3I7HxjJPmq+suxHSV2eZmzlbN9R4n/j9bIOBCv+aaHMir3KV4szuItR0BRGLjAIA/HwvjgWXzcbh3UPWx7NrrUoxy9X6+fPB9bN7ZabtaWgYyoiysmDJdSA+N1h62JS0NWDCr1pLhFhFDBXYfnsj1Hj+2vBXvh0fwPwMn65ACR08GgkWz66RdfV0mkwP5KTWVOG/OtIz3Sq3eD2BPpp0oXQh53KW484unY/6pXvzPwDC2rjwXb3YP4J4dB/HQtWfZ4nvGQEakwMo6qHx7aLT2sP3wmgV4t2/IkuEWEVvRyLD9jdp7nLjtlJpK9A3GUD/FjWULP1n0C/2Kku29apxakfUCaHFLA6oreTq1k9QLodBwDNUV5bjvpUO4ffvB5H0SvdH9Q/YYbuYniGgSmaZMa+lhm1lbhfdD6rPAjOpFErHPplP29uRCv/amVnO24oI5uHP7Adx75TzbDH/Rx9+ptz84gXtfPJQxQpD494YvnSmieRkYyIgmEVEHVQgtJ3JvlfrtRvUiidj82IkbLpM9zaytwoPXnoWu3kEEh0dRUVaSHGKOxMYRHbPXBRudNDERzwhjCXs7+zE+YY8dJBnIqCjoqQfLVZMUGh5FV++gNNtxANb2Ipk9c9Euf5OK0+DIGL7+j/+teJsdL9gKIdvWQ9lEYmM5bh+3qCXqGMjI8fTWg+WqSRoZHcfVj+/T9Fh2YXUvkojhNw75kRWMWNBZhpDjpB0+co0QeKvE15kCDGTkQKkHvGlT3Lhz+8GMDYTV6sHUepPafPXY905617cda8uUsBcpkywnR7KPQiaRyBJyZKqj1UKWOlNunUSOMnlD2c7ewYwwlpBtC41s23ksbmnASn8ztu45ovmx7MbrcWNuYzUWNtVhbmO1VAdVo8m4+TCJl++WW6K2McuHrFsPZWPWFk1GYw8ZSSdbr4bSAS/X2kHZhheUepPG43Fc9fd7s9YbiF7virQLRWLY9fZxrLxgDpaf14TK8lK82T2ArXuOSNkDQNbJd/hfpslC2YZlE7t9RMfGEegekKpXWYYRAgYyKpiVwz5qXf7DsfGMA57aXoGA+vDC5Jqkrt5B1eJPO6x3RdoMREbx0v6etJlXfl89Ni1vxdqOgK1OjmS9XMe0fE7udl/AOJXSsGy23T7sOOSajd3rTBnIqCBW1kTk6vK/5XMtGb8TOBqE31evOOVZb+2ALHUIpC4UieGu5w9kXZOova05eXJkjVnx0XpM03tyN2IBY6s+j0rHumybq8taV2ZHDGSUN6sLP/sGY3jjvQGsvsSXtkF2YqjJ4878OG/dcwSblrcCQNqBJJ/aAa535Qx9gzHsVlmTqN3fjKmV5dIUYJNx1I5p3312P+664gyUlrjyCkKFXtApfR4XtzRgw5fPhAtAvYHhTOlYV8jm6ryw0YaBjPJmdU3EYHRUscs8MdRUWuLKOOBFYuNY2xHAXVecgQ1fOhND0bGCagdkqEMgdbmGjgCgurIMt/7i946ZZUbaqB3Tdh/uw9EPI7jhqdfzCuaFXNBlC4q7D/fh7h0H0dpUh/1Hg4ZeLEw+1o3mWDw125ArL2y0YyCjvFldE1Fb5cb//bc/Zx1q2njVfMUD3qLZdbjoU5/ADIO+/CLqEHiFaZxcQ0en1lVhKDomTQE2GSfXMS0xSSjfYK7ngi71O1/lLs36eUz06m7e2Wn4xULqsa6rd1D1vkpDrk5bPsNsDGSUN6s3dY6NT6hufxEdn0BTwxTH9WDxCtNYuYaOTqmpxDt9Q6qPYacCbDJOrmNa6iShfIO5lgu6yd/5LdefrXr/1KBo1sVCPkOuMs0stQOuQ0Z5y3c9nnwNRtW3vxj66HYnrbUl09pFstCyJpHVFxtkvlAkhq7eQQS6B9B1fFDxu6N2TPP76hE4Gkz7mRnBXOk7n2u2eOrtZl0s5LOWl0wzS+2APWSUN6uL3IvxJCnTFaZMw6q5ho6UegMSazBdcFo9QsMxdB0ftPVzpI/pmTmpdEzz++qxyt+MtR2BtMc145ij9J1Xmy0+OSiaeRzUW0NbjMfsQjCQUUGsLHK367IToUgMvSeiCA6PYoq7FFMqylBbVW7IayDLFaaMw6pqQ0eTT8xOWIOpWOmtY0o9poWGRzEyOo597/RjbUcgbR1Cs445St/5bLPFJwdFK46Dempo7XrMtitXPB5Xnzoxye9//3u8+OKLmDZtGr761a+ioeHj7stwOIxbbrkFW7duNbyhRgiHw/B6vQiFQqipqRHdHMpDT3A4a4+cUUX7etvz3X/dn7Y9k99XjzWXtGD2NE/BberqHcTSR3Zlvf3VdRdibmN1QX+jUKFIDKs7Aoo9eUtaGqQu3E30+k3E47jvxUOKy2XI/hydrtDvkNXHnGztTfTQXjF/BoZiY4iOTmDfO/3YuucIIrFxocdBNXY7ZltNT+7Q1UP261//Gl/60pfQ0tKCEydO4J577sHPf/5zXHzxxQCA4eFhPPXUU7YNZCQ/Oy07EYrEMsIY8PEV7BULZuIL804pqG0yXGHadVjViCHURG9AV+9g1rXL8nmOMg3vyi7fXubU9+iuK86Au7QEoeEYplSYe8zJ9p2PxMax/2gQ32prTm4V98naKnxh3ikYio2jtqocHnepKW0qhJ2O2XanK5Bt2LABt956K37wgx8gHo/joYcewpe//GX84he/wGWXXWZWG4nS2GX7i5MLjKpPRS80jMiwGK0dh1WNGEJNPSGP5bkGk1ltI+3yqWMS+R5p/c4PxcZx546DUnyO7HLMtjtdgezQoUP46U9/CgBwuVz4m7/5G5x66qn4yle+go6ODpx33nmmNJLIjrSsWWREGLH7FabdCneNWPto8gn5iRWLVO+vddubYGQUdz5/IKO3jesymUdvL7Md1s7K9Z23Qxv1YI+wNroCWUVFBYLBYNrPli9fjpKSElx33XV4+OGHjWwbkakKPUhoWbPIqDBi5ytMuw2rFjqEqnSyK3RP1ETAW3nBHEOHPik3vb3MdhmCV/vO26WNWrBHWDtdgWzhwoX4j//4D5xzzjlpP//a176GiYkJrFixwtDGEZnFiIOEWhDx++rReyKKRbPrDGuzXdltWLXQIVSlk10he6KmBrzl5zUV1DbKj55eZjsOwU8mQxsB+XryRNMVyL797W/jtddeU7xt+fLlAICf/OQnhbeKyERGHSQSQWTyYyVmWc6Z5imag42dhlULHUJVOtkl9kRtb2vG7V84HUPRcdRUlaHO48b0mkrVx0sNeLkW+OS6TObR2stcyOfHqqE5u5UJZCNTT54d6Apky5Ytw7Jly7Levnz58mQwI7IrIw8SM2ursHl5K3pPRBEaHoXHXYop7jLUeoxZh0wmdhlWLXQINdvJLhIbx+adnWidVYsbnno9+Xi5elVTA16hQ59kvnw/P1YOzdmtTCAbWXry7ELX1kkDAwN47LHHEA6HM24LhUJZbyOyE6MPEl6PGy3Tp2LRnGk4Y6YXsxum2CKYaNkqxony2eIllZ7tc7RsYZUa8P7lt924+4oz0earT7tPm68e379qni0+N8Uun8+P1VucFfoZt4osPXl2oauHbPPmzdi/fz/WrFmTcZvX68Xu3bsRDodxxx13GNZAIqMVw0Gi2AtpCxlC1bt9Tq5e1dTejOvOa8KP/t8fsbCpDqv8zYiOTaCirASBo0Hc/9If8NC1Z9nmZFrM9H5+RAzN2alMIBtZevLsQlcge/bZZ1VnUv6f//N/cOuttzKQka05+SCR2Map+8MIVvmbcdas2uRK3sVWSFvIEOrkk527rAQvH3w/Y/ucBLVe1dSA1zqrFpt3dmLnn44r3pc1NfYx+fOT6HFWqg8TNTRnlzKBbOw24cfudAWyrq4utLS0ZL29paUFXV1dBTeKyExOPUgo9Yr5ffXYtLw1GSRYSKtd6smuq3cwbQ/LyXL1qiYC3tu9g6r3Y02NPeXqcS6GXvd8ydCTZxe6AllpaSl6enrQ1KQ8dbunpwclJbrK0sghZFv4z2kHiWw1LIni8fa25mSg4ElfPyN6Vb0eN6bl+HwV84nbrrTMypa1192q47bde/LsQlcga21txfPPP4//9b/+l+Lt27dvR2trqyENI3nIWq/kpIOEWg1LYhunBJ709TOqV1XWE3cx01IfNrex2tJedyOClJ7jtmwX3LLSFchWr16N6667Dqeeeiq+/e1vo7T05Eam4+Pj2LJlC/72b/8WzzzzjCkNJXviwn/2oGUbJ4An/UIY0avq1OFyJ9NaH2ZVr7tR+7RqPW7LesEtI12B7JprrsFtt92GtWvX4o477sBpp50Gl8uFrq4uDA4O4m/+5m/wla98xay2kg1x4T970LKNE0/6hTOiV9Vpw+VOp/bd8rhLUedxpxf7V7sxt7HalLYYdQGs9bjNC25r6QpkAPCDH/wAV111FZ5++mkcPnwY8XgcS5Yswde//nVLNhffsmULHnzwQRw7dgxnnnkmHn30USxevNj0v0vKuPCfPagNhS1uaYDvE9U8eNqIk4bLnS7bd8vjLsXWlefizucPYnenNb1HRl0Aaz1u84LbWroq8CORCG6++WZcddVVeOaZZ1BTU4N/+qd/wqOPPmpJGPvZz36GW265BXfccQcCgQAWL16Myy+/HN3d3ab/bVIm2+wipy6WqrZQ5P+9ZoFtFqslkk2279ZdV5yBv9/ZmRbGAGMXg804Xg2rP6bWC2Ctx21ecFtLVw/ZPffcgyeffBLXX389qqqq8Mwzz+Db3/42fvGLX5jVvjSPPPIIbrjhBnzzm98EADz66KP4t3/7Nzz++OPYuHGjJW2gdDIVKTu9FsLOQ2GyFAXL0k6yltJ3ayIex/rnDije34jeI6Xj1TPfPF/1d7ReAGs9bst2wS07XYHsueeewxNPPIHrrrsOAHD99dfD7/djfHw8WeBvllgshjfeeAPf+9730n5+6aWXYt++fYq/E41GEY1Gk//mtk7Gk6VIuVhqIbQOhVkZPGQJwrK0k8SY/N0KdA+o3r+Q3qNsx6t97/SjzVePPQXuhar1uC3TBbcT6ApkR48eTavXOu+881BWVoaenh7MmjXL8Mal6uvrw/j4OKZPn5728+nTp+P9999X/J2NGzfi3nvvNbVdZO+emQTWQnzMyuAhSxCWpZ1kH2b2HmU7Xm3dcwSblrfC5XJlfH/1XgBrOW7LcsHtFLoC2fj4ONzu9DegrKwMY2NjhjZKjcvlSvt3PB7P+FnC+vXrsW7duuS/w+Gw6cGxWNm9SDlX7UVouDhqIawOHrIEYVnaSfZhVu9RKBJDdGwcW64/G5XlpXizeyC5/VkkNo61HQHsuNmPEper4AtgLcdtGS64nUJXIIvH41i5ciUqKiqSPxsZGcGNN96IKVOmJH/23HPPGdfCjzQ0NKC0tDSjN6y3tzej1yyhoqIira1UvDwV6h91T4W5Q+5m0jP8aHXwMLMo2MhhVxYvk15m9B5p2f4sEhtHictl2tIaSux+we0UugLZihUrMn72v//3/zasMWrcbjfOOeccvPLKK1i2bFny56+88gquvPJKS9pA8nKXlMDvq09uJZTK76uHW9Itv/QOP1odPMwa1jF62JXFy5QPI3uPtG5/xtot59IVyLZt22ZWOzRZt24dvvGNb2DRokX47Gc/i5/85Cfo7u7GjTfeKLRdpJ2oWWwDwzGs+mj7oNRQ5vfVY5W/GcEcQ5p2lM/wo9XBw4xhHTOGXVm8TPkyqvdIy/ZnrN1yNt0Lw4r0ta99Df39/bjvvvtw7NgxzJs3Dy+//DJmz54tummkgchZbDWV5fjGE79Fe1sz2v3NiI5NoKKsBIGjwWRNhmzyGX60OngYPawTisRwLDRi+LCrWcXLXEbDGMXwOubqvfZWlXNyyUec+nmQKpABwE033YSbbrpJdDNIJ9Gz2BqnVuCc2XXYvLMz47bFLQ1onCpfrWE+w48iZk0ZNayTCPTLz2tSvV++w65GFy9zGQ1jFMvrmKv3uo51XACc/XmQLpCRnETPYvN63PiRw6Zv5zv8KGLWVKHDOqmBfuUFc1TvW8iwq1HDT6IvQJyimF5HDpvn5vTPAwMZWcIOs9icNn27kAO4bLOmUgN94Ggw6wQNu5y4RF+AOEUxvY5m9147YZjP6Z8HBjKyhFHF5IUeVGQJIlqeZzEt2pga6BOLYwLpEzTs9LztcAHiBMX2Opp10eiUYT6nfx4YyMgSRnTH2+GgYsVVpp7n6bRev2xSA31icczUCRqnNUzBDG+lbZ43l9EwRjG+jkZfNDppmM/pnwc5F18i6SR6c5a0NKT9XGuvRq6DSihi/rIVPcFhrO4IYOkju7Bsyz4sfXgX1nQE0BMcNuxv5PM8vR435jZWY2FTHeY2Vht2cA1FYujqHUSgewBdxwcteY2z/e3qyjJ8/vTG5O2R2Dg27+zEDU+9jn/5bXfBYczo55q4AFFil2FVGfB1LJyWYT5ZOP3zwB4yskwhvTmiawesusoU/TwTRPZGZvvb379qHgDglT/2pv280GFKM55rMQ0nm4mvo3bZeu+dNMzn9M8DAxlZKt/ueNEHFauCkujnCYgd4lD723c+fxAPXnsWvnf5mGHDs2Y+12IZTjYbX8fc1C4qnDbM5+TPAwMZSUH0QcWqoCT6eQJie+ly/e3BkTFD9/Az+7nabRKJrDPt7PY62kmui4oHrz3LcctpOPXzwEBGUhC9Ro9VQUnr8zTzxCqyl87qvz3573ncpWhva0brrFpExyYQGxtHKCL3VPoEO0yKsRtZA2qqyRcVkz/DweEYHlg2H7dvP+DIYT4nYSAjKYiuHbAqEGp5ntlOrPddOQ+h4RiqKws7sYjspbP6b6f+PY+7FJuWt2Lb3iNpOzo4IbQ4aaadXtlCl1MCaupFRbbP8OdPb8TGq+djZHTCccN8TsJARtIQWTtgZSBUe55qJ9Y7nj+A1qaT20PlOrGo9QyI7I20+m+n/r32tmZs23skY8FZJ4QWu0wWsVq20LXx6vn43nMHHBFQUy8qsn2GX/ljL6JjE3hseauhQ/5kLAYykorI2gErA2G256l2Yt3b2Y92fzMA9RNLrp4Bkb2RVv/t1L/XOqtWca9TQP7QYofJIlZTu3h5rz/imICaelHh5M9wMWAgI9JBdDFprhNrdGwi+f9KB2CtQ1f5hE+j6nGs7glN/L23ewdV72dUaBFRt2SHySJWU7t4CQ47J6CmXlSkfv+VyPS8ihEDGZFEcp1YK8rS13qefADWM3SlJ3waXY9jdfD1etyYluPvGRFaRNUtiZ4UI4Laxcvk78lksgXUxEXFsdCI6v0qy0sR6B6QdgKD03GlfiKJqK1UvdhXj8aplVh9iQ8edymAzBOLGUNXdthFwQhmrwIu8nUqdKcMGaldvASOBrHYYSu+ez1uzPBWZv0Mt/nq8dKBY6btMkKFYyAjw4jcaqdYZDux+n31WOFvxtd+8p8IdA9g0/JWfP70xowTixlDV07ZmqWQ0KLlsy/6dUr0ory67kI8f9MFeHXdhXhseStmSDSjUA+1gP3nY2FsXDbfcQE122e4zVePlf5mbN1zJPkz2S6YigGHLCVi5zVz9AzF2Pl5yCBxYu09EUX3hxEAJ6/413YEEImNY29nP1yA4onFjKErJxWM51O/pvWzb4fXSXQNpJXUJojcd+U8zEj5HoWGR+Fxl2JKRVmyd1lWkz/DleWleOnAseTxIRUL/e2FgUwSdl4zR88aR3Z+HjLxetzoG4zhhqdeV7x9T2c/RkYzC3zNmMXotIJxPaFFz2ffaa+TDHIF7KHYOO576Q+OOx6lfoYD3QNZZ14Ccl0wOR0DmQTsvqij1kJxuz8P2eTb42L0LMZiLBhP0DNJophfJ5GyBexiOR7xQkAerCGTgOjak1y0BgO7Pw/ZFHKg9XrcmNtYjYVNdZjbWF3wfo3FVjCeoCcUF/PrZEdGH4/sWkNr9mQVMg57yCRgh9oTNVqDgd2fh2zs1OMichcFkfSG4mJ9nezIyOORnUsxCilTYL2vtRjIJGD3LmetwUD083DawUX0/p5K7ZH59cxHPqG4GF8nOzLqeCTD0KeZk1XIOAxkErBTT4gSrcFA5PNw6sGFPS5i2S0Uk3ZGHY9k2SfUrMkqZBxXPB6Pi26EVcLhMLxeL0KhEGpqakQ3R5ee4HDWg75d1hFK9ECpBQMRzyMUiWF1R0DxoLmkpYEHFyqYls8+2Y8Rx6NA9wCWbdmX9fbnb7oAC5vqCm6rlbp6B7H0kV1Zb3913YXcpFwjPbmDPWSSkKEnRMsVmIjnIcsVLMmLw5ByMuJ4JLoUwwys9xWDgUwiTjnoW/08eHAhomwKPR7ZvaQkH04MmTLgshckjXynlfPgQkRmceJyJlwqQwz2kJEUCinKd+IVLBHZhwwlJXpwsooYLOon2zOiKF+GSRFE5HwyLb/DySqFY1E/OYoRRflOu4IlIvnItvyOU+qWZcEaMrI9o4ryjdwuiIhIj1xre9llqyUShz1kZHssyiezyDR8RHLj8juUCwMZ2V4xFOXnGwwYKPIn2/ARyY3L71AuDGRke06f8ZNvMGCgyJ/a8NF3n92Pu644A6UlLgZcMgx7+tXx4pKBjCTh1KL8fPeM415zhVEbPtp9uA9HP4zghqdeLzjg8iRDCcXQ058vXlyexKJ+koYTi/K11JUY+Xt0Uq7ho+jYBIDCCq57gsNY3RHA0kd2YdmWfVj68C6s6QigJzicV5tJbk5cQNYInOzwMfaQEQmUb10J61EKk2v4qKLs42vVfAqu2YNJSpza01+IXBeXx0IjeKdvqCh6mBnISFrZhoNkGibKt66E9SiFURs+8vvqETgaTPuZ3oDLGXWUDdf2Spfr4vKdviHc9PSbAJw/jMkhS5JStuGg7v4h/PUvfo8vbd6DV//Ui3f7hvD6ewN4+/0Ttuz6znfPuGLaay7fPUzVZBs+8vvqscrfjK17jqT9XG/AZQ8mkTZ6e6udPIzJHjKSjtpw0O3bD2DRnGm47rwmbNt7BJt3diZvt+PVVSQ2jpsu9mE8Hsfezv7kzxfnqCtx+szTBDOLfRPDR38JDqNvKIZSlwv/+U4/1nYEEImNJ++3OEfAVeyRrWIPJpEWenurndzDzEBG0lEbDtrT2Y9bPvcp/O2/v50WcAD71e+EIjHc9ux+vPHeANrbmtHub0Z0bAIVZSXoPRGFx12q+vtOr0exog7L63GjbzCGG3/6BjYtb0WgeyAtjPl99bj/ynlZ/062wPjAsvn4/OmNeOWPvRm/47QeTKJCZLu4TPRWr+0IpN3f4y7FRDyOrt5BKcpS9GAgI+nkGg4am4hnhLEEtasrq2vPUoNlak9ewnlzpuX8+06uR7GqDquh2o1Fs+uwtiOgGIzrPMq9Wbl6ajdePR/RsQlH92ASGWHyxWVleSleOnAso7fa4y7FpuWtuO/FQ9idcoy34+hHPhjISDq5ag5y9Swp1e+IWAeHdUbKEsG4fyiGrSvPxZvdA9i650jagRkw7vVJvUKfPMStFp5yBcaR0QlH92ASGSn14jIUiWH/0WDGd769rRnb9h6x/ehHvhjISDpqNQdtvvqcvz+5fkfUEgWcKZlJKRj7ffXYtLw142rZyNcnn+FfLYHaKevlEVkp2zDmBafVK44mAM6oLWMgIyndd+U83LXjYEaP1vevmof/PvIh/L56xWFLpfodUUsUcOXudNmCceJ9bG9rTh6MzXh99A7/pgZqj7sU7W3NaJ1Vi+jYBCrLS1En8YmBSDSli6TQsPrsStlHFRjISCqJHpREIfzKC+YAAE6tq8IpNZUnT6pV5Th3zrSMwOb31eOmi32IxMbh9Xz8mKKGDotlpqRWasF4b2c/2v3NAOzz+iQC9evvDWDT8lYpZvXKSKZ1BclYky+SunoHVe8v+6gCAxlJY3IPyuST32PLWwEg+QX+wvwZWHnBnGSBduBoEO1P/g6LZtelDUOKHDp0+kxJPXIF46mV5Xh13YW2eX0SgXrX28cdXdciEvc4pFROH1VgICNp6Bla7BuMYf1zBzTdV/SX3MkzJfWorlA/HNV5yjG3sdqi1mgzs7YKi2bXaf6skXbcfoomc/qoAgMZSUPP0KKe+9rtS16sQzTu0pKstX9+Xz3cpfbcWGQwOqZ6u+x1LaJw+ylS4uRRBQYykoaeoUW9w5B2+ZIX8xBNcDiGVR/ViaWGssQCkScLeqdk/X1RQZazZc3BZWEoG6NGFex28ctARtLQM7SYzzCk6KHDYh+iqa4ox/L/778zFmcNHA1ibUcAL65uy/q7IoOs6CFvp2LQJTPZ8eLXnmMARAqybQitNLSo5752oWWIxskSK+Zv3tmJG556HTc9/SZueOp1bN7ZiUWz67IGm1xB1uyNiGX8rMkgEXSV6A26ZmxQT/ISfczIhj1kJBU9Q4t2GYbUqtiHaPKt5bNDrZFsnzUZGFXbaceeEBLLDscMJQxkJB09Q4uihyH14BCNeSvmW0Gmz5osCg26xV4GQMrscsyYjIGMyCZYi3RSISvmKymGIOskSoXW+S53km9PSK5ib7sVg5M+dj1mMJAR2YTdlt+QBYOscxg9vJhPT0iuNnAIVH52PWa44vF4XMhfFiAcDsPr9SIUCqGmpkZ0c8gksl+9JtrPWiTteoLDWYPsDJ4kpRCKxLC6I6DYo5XYiUPv96CrdxBLH9mV9fZX112Y1vuWqw0PXnsWbv3F7w1tI4lh1TFDT+5gDxk5ihOuXlmLpB+L6uVnRqG1np6QUCSGY6ERLD+vCav8zXizewBb9xxBJDaebMPAkD2LwUk/Ox4zGMjIMVjAW9wYZOVmRqG11jIApQs5v68em5a3Ym1HIBnKwiPclcFJ7HbMYCAjWzBimNGuU5mJKDezCq1z9YRku5BL7BbR3taMzTs7P2qj+ilTrY2yl1KQ+RjISDijhhntOpWZxPsgPIKBoRjCI2OoqSpDnceN6TWVoptFKcwstFbrCVG7kNvb2Y/2j7bzWtLSgLop+bXRCaUUZD6u1E9CGblisl2nMpNY3f1DWPfzt3DZ3+3GV3/8n7js0d3465+/he7+oeR9uJK7eKJ2PMh1IRcdm0i2YXpNpe422nVVeLIf9pCRUEYOM9p1KjOJ80F4BOu3H0jbrBwA9nT24/btB/DIVxdibCLO3gubEFFonetC7rSGKWn1p3rbyFIK0oqBjLKyoubByGFGr8eNjVfPx3v9EQSHR1FZXoo3uwfw52Nh3HflPB70BBJVPzMwFMsIYwl7OvsxFB3D3S8cUuy9+O6z+/H9q+ahtqqcnx0LWV1onetCboa3MqM9etrIUgrSioGMFBld85DthGzkMGNPcBjfe+5AWpsXtzRg47L50qxF5cTCX5H1M7lmxUVGx7P2Xuw+3IfO3kE8te9d9pY5mNkLMrOUgrRiIKMMRi8foXZCNmqYMVubdx/uw+3bDyi22W7hx4mFv6KXIsk1Ky4SHVe9PTo2wWVTioCZQ6UspSCtWNRPGbTUPGiV64QMwJBCXr1t7gkOY3VHAEsf2YVlW/Zh6cO7sKYjgJ7gsNanZiinFv4a+VnKR90UN9p89Yq3tfnq4a1S752oKDt5iDSjrZxIYC9ez8k9Mxc21WFuY7Vh4VvUZAWSD3vIKIORNQ9aTshzG6sLvjrV02bRvTZKnFr4K7p+ZnpNJR5YNh+3bz+APSm1ZG2+ejywbD68VeVZey/8vnoEjgZNaasTe0OLlZaedjuuCk/2w0BGGYysedB6Qi60kFdPm+0YfkQHF7PYoX6mqX4KHv7qwo/XIassQ92Uj9chU6of8vvqscrfjLUdAcPbascLAsqPnmBtt1XhyX4YyCiDkTUPVp2QqyvL0OarT+sFSWjz1aM6pZbIjuHH6uBiVf2cXepnptdUZl0INtF70Xsiiu4PIwCAwNFg2pY5RrbVjhcEpB+DNRmNNWSUwciah8QJWYmRJ7mh6BhW+pvhn1Qv5PfVY6W/GUPRj2fb2aHXBkivIZqIx7Hx6vnwuEsz7md0cLGyfk6W+hmvx42W6VNx+owaPLXvXWze2ZkWxoxsqx0vCEg/0fWR5DzsISNFRtU8mD2lPCE0PIq1HQG0tzWj3d+M6NgEKspKkj0dz3zz/OR9G6rdWNzSoHgwXWxRr43SUMfilgZsXXku2p/8nWlhQMRVvUz1M1a01S4XBFQYBmsyGgMZZWVUzYNVJ7lIbDy5CfBkk09yN1/sw0Q8nrZoqN9Xj5sv9hnWpmw+CI/gu//6e+yeNLy6+3AfXAB+tXYxBiIxU14nUcNlMtXPmN1WuwzjUmEYrMloDGRkCTud5PoGY2h/8neKvWntT/4OL65uM62tPcFhvNs3lBHGEl473IexiTgWNtWZ8vd5VS+eVb3GZC4GazIaAxk5gp6TXHhkVLU3zaxQkhguXH5ek+r9zAxFvKq3BzN7je224LEs9L5uDNZkNAYySiPzwVzrSU5UKEkMF668YI6Qvw/wqt5OzOg11roMg8zfc630PMd814WTqT6S7I+BjJKMWKxS9IFey0lOVChJDBcGjgbh99Urbnrd5qtHZbmxk59T3xNvVXlyoVRe1TuL1gkbxbAorZ7nWOhEF5nqI8neGMgIgDGz77LNHNzw5TPhAlBvk6twUUMNiZ65rXuOYNPyVgBIC2WLfQ1Y4Z+DDS8cwkPXnmVIO5Tek8+f3oiNV8/HyOgEr+odROsyDE5fO0vvsYzrwpFdMJARgMIPSmqbe9+94yBam+qw/2jQNlfhIoYaUnvmJi/R4a0qx8joONZ8tBipESeBbO/JK3/sRXRsAo8tb8XcxuqC/gbZh9YJG04PH3qPZYVOdBE9KkDOwUBmIyK/2IUelNQOgns7+9Hub8bmnZ1pV6iiD2RWDzUkeubu2XEQn55Rg9ZZtYiOTaDWU47qijJ8518+XhneiMJ+XvkXFy21kcUwy1bvcyykprQYhn/JOgxkNiH6i11ooXuug2B0bALAySDQPxTDUGxccXjz/ivnoc5T7tigMLO2Cvd86Uysf25/2ixPv68eP7xmQXK7HiMK+5108hUd3mVgRG2kE2bZ6j2W5fu6ceskMhq3TrKBXF/sUMT8LTgK3eIo10Gwouzjj9r4RDzr8OYdzx/AywffN2UbHzsIRWJYv/1Axjpkezv7sW3vEbS3NRs2scApS1xYudWTzLRsU2XVVmYi6X2O+W7vxa2TyGjsIbOBYGQUKy+Yg+XnNaGyvBRvdg9g654jiMTGLRtaKrTQXe0q0++rR+BoMPnv8Yl4zuFNp15h5hravfkiH64/r8mQ5+2EJS7YC6FPrtrIYlg7K5/nmE9NqZN6oMkeGMgE6wkO487n03tM/L56bFremhy+suqLXUihe7aDoN9Xj1X+ZqztCAA4eVCMxMayPQyAk8ObTq1xynUQrywvxQyDhqidcPJlHZx+uWoji2HtrHyeo96aUqf0QJN9MJAJlLz6Vxi+AoD2tpOF8FZ+sQspdE89CAaHY4iOTmDfO/3JYJkIAonC9WxmTavCluvPRmxsHKGIs064uQ7i3ipj32vZT77j8TieWLEI0bGJjN5jgL0Q+SqGtbPstF2bKKy9lAsDmUBaZiba5YutVepBMBSJYXpNJT73mca0IBCKxLIeyNp89fi3Qx8kC96dNmNJxEFc1pNvT3AY9794SLX3mL0QJIrde6BFTxQj/VzxeDwuuhFWCYfD8Hq9CIVCqKmpEd0cBLoHsGzLvqy3P7FiEc6YUWPYEJad9ASHMw5kbb56rPxoeDO1F21JS4PhtUIirxyVnnviIG7Gey3jVXIoEsPqjoDiBYvfV59c1441ZCRa4vtlpx5ote+PGcdTyk5P7mAPmUC5hq+apnksDWOFnrj1/H5iKO398Aj+Z2AY02sq8UF4BKUuFx669qy04Smja4X0XjkaHWisHEaU9SrZyskPRIWwYw80ay/lxEAmUK7hq8apFZa1JfXE7XGXor2tGRecVg93WQnqprhzhpB8TvyJA9kpNZU4PhjD1r1H0rYSSh2eMqpWSO+sPbMCjRUHcZlnKFo5+YHIaTgDVE5ch0ygfNe/MVrqidvjLsWm5a0IdA/g6//43/jKP/xnznWfjFhH7d4XDmZstp26NpdRtUJ61g6yw/pwhZB5nSSrJz8QOQlngMqJPWSC2WEWXOqJu72tGdsm9VQB6r0qhXaP9w3GMmaaJiSGp4wqdtdz5Sh7t7/MV8lqvcdtvnpUlhd2LSljXR2RVjLMAKVM7CGzAa/HjbmN1VjYVIe5jdWWnxhST9yts2ozwlhCtl6VQk/8uX6/tMSlerseeq4cjQg0oUgMXb2DCHQPoOv4oKW9ajJfJXs9bjywbD7afPVpP/d/NPFjwwuH8n4tufI/OZ1dRl9IH/aQUdqJO7HnZDZKIaTQE3+u3x+KjRvWG5XryrG6sgxdvYMIj4yiyl2q+li5npfognrZr5Jj4xNY2FSHVf5mRMcmUFFWgsDRYHIWbj6fCZnr6oodezX1scPoC+nDQEZpJ+7UPSeVKIWQQk/8DdVuLG5pyLrEwZvdA5jmMa43544vno4VA8NwuVzJmZyLZtfh+1fNwx3bD+Df/9gLAFh9iQ9tvnrsUegxzPW87HDit/s6SbmEhkfTNmCfLJ8h11zD0L0nojzp25DoixtZ2XEGKGXHQEZpJ+7A0SD8vnrFYcvUEBKKxNA/FMPYRBwT8TjWLm3BTRf5sKerL7mSutYTv9fjxv1XzsMdzx/ImGWZ2HZp2cJPan4+2a6klQ7qi1sa8PLaxfC4S3F7ShgDgK17jmDT8lYASAtlWp6XXerPZL5KNmPINdcwdPeHEdzw1OvJf9vppF+sPUR2uLghsgIDWRFRO6AnTtz9QzEsa/0kNrxwKONqNBFCeoLDuHvHQVx3XlPGBIDFLQ14cU0bXADqdZww6jzluGLBTLQrDE8tml2neXgt25X0A8vmY8OLhzIO6rsP9+HuHQdx/5Xz0sIYAERi41jbEUB7WzPu/OIZGBkd1xxo7FRQL+tVshlDrrlC3mR2OekXcw8RezWpWDCQFQktB/TUE/fmLL0qiavVs2bVKs7G3H24D/e+cEj3CczrcePCT31C8/CaUrgEkPVKev32AzhrVm1G6ErcPpRlw/NIbBybd3bic59pxMKmOs3PJ9uJP7HGW2V5KQLdAzyBqDBjyFUt5Pl99QgcDWb8XPSM2mLvIZK5V5NIDwayIpDPAT1br0rianXlBXOy1vfkewLTOryWLVze8cXTs15J7z7ch+8sbUHrrFrFjapzbXiud3hM6cSfWONt294jaa8dTyDZGT3kmi3kLW5pwIoL5mBtR0Dx90QuEWKX4W9RZO3VzEexDkvTSQxkRcDIA3riajWf2Zha5BpeUwuXKwbUly0IDY+mXUmn7gTgrSo3dHhM6cSfzxpvZPyQq1LIKytx4fJNu7MGc5FLhNhp+FuEQns1ZQk5xTwsTScxkBUBIw/oiavVfGZjGkEtXOqVCEZ3XXEGGqdWGD48NvnEX1leamivoiwnGjuaHPJCkRgWza6z5RIhMq8nZ4R8ezWHoqPShJxiH5amkxjIioCRB/TE1arW2ZhGUwuXgaNB1eUzlK6k93b24+4rzvjoBA3DZySmnvgD3QPJGjKloVM9wViWE40s7LxEiOzryRkhn15Nb5VbmpBT7MPSdBIDWREw8oCeOHHds+MgVvmbASAtlOk5geXTw6MWLrfuOYKX1y7G3TsO4rVJm6SXuFwYHh3H6kt8ybqxhOGU/zdzRqK3qlyxhiwxdFqjcX9GXk2bw65LhNg5LFpJb69mbHxCmpBT7MPSdBIDWREw+oA+s7YKD117FvqHYtjwpTMxPhFHJDYOb5X2E1i+PTxq4XLR7DrUecqTy3fEAWzYcVAx/CRWewesG/KZUlGmWEO2t7MfLgAPf3Whpsfh1bR57LpEiF3Doki5jmvvh0dUf99OIafYh6XpJAayImHGbLV8f7eQHh494XJ1RyBj0/JEGGpva8bmnZ2WDvkMjoxl3Sd0T2c/BkfGML0m9+Pwaro42TUsiqR2XDN65rSZOCxNgESB7Ac/+AF++ctf4q233oLb7UYwGBTdJOnY5YBeaA+PlnCp9jf2dvaj3d9s+ZCPUUGKV9MkM6Mno2Q7rskUcjgsTYBEgSwWi+Haa6/FZz/7WTzxxBOim0MFMCKY5AqXuf5GTWU57rziDAyPjiMUsWaIz6ggJdOJhiiVlZNRZAs5HJYmaQLZvffeCwB48sknxTaECpYrmNRUlRd8FZ3rb4RHRnHtj/8TgHWzE40KUrKdaIgAMZNRZAs5dhnFIDGkCWT5iEajiEajyX+Hw2GBraEEtWDy+dMb4S4tOVn/VcBVtJ7FJK2anWhkkJLtRJMvrrXmHKImozDkkCwcHcg2btyY7Fkj+1ALJhu+fCa+99yBgq+iI7Fx3HSxD+PxeFohvd9Xj1X+5ozFJK2anWhkkHL6iYZrrTkLJ6MQqRMayDZs2JAzMP3ud7/DokWL8nr89evXY926dcl/h8NhzJo1K6/HImNlCyZGXEWHIjHc9ux+vPHeANrbmtHub0Z0bAKn1lXh13/4IG3Ji1RWnRCcHqSMwLXWnIeTUYjUCQ1kq1evxnXXXad6nzlz5uT9+BUVFaioqMj798lcSsHknb4h1d/REppSQ13qGmRPrFiUdesigCcEO+Faa87DyShE6oQGsoaGBjQ0NIhsAtmMEVfR2YZGRG33RPpxeMt5OBmFSJ00NWTd3d348MMP0d3djfHxcbz11lsAAJ/Ph+rqarGNI8MYcRWdLdRt3XMEm5a3osTlyqhL0ntCYLG5uTi85Ux2nYzC7zPZgTSB7O6778ZTTz2V/HdraysA4D/+4z9w0UUXCWoVGc2Iq+hsoS4SG8fPftuNh649C4MjY3mfEFhsbj4ObzmX3Woo+X0mu3DF4/G46EZYJRwOw+v1IhQKoaZGwx41JEziirWQ0JQt1M0o4CAbisQyluRIfXwWmxvHrPeQrGXn3ierv892fi3IHHpyhzQ9ZFRcCr2KNmtoRGuxOQ+8hbPr8BZpZ/feJysnj9j9tSDxGMjIscwYGtFSbM4Dr3HsNrxF2smwdIlVk0dkeC1IvBLRDSCyo1Akhq7eQQS6B9B1fBChSAxA7mLzKRVlqgfexOMQOZ2W3ifRrJo8IsNrQeKxh4yKTq7hRLUerlzF5u7SEq6fRQQ5li6xavKIDK8FicceMioqPcFhrO4IYOkju3D9P/43tgf+gkM9Ybz+7ofoOj6ID8IjuHvHwaw9XADww2sWYElL+vp5iWLz4LD6lS4PvFQsZFi6JDGrO9v32aiLJxleCxKPPWRUNFLrODzuUmxa3opte4+krd6/uKUBKy6Yg31d/RnbKyV6uOY2VmctNlfakikVD7xULGRZusSKySOyvBYkFgMZ6SbrDMLUOo72tmZs23skY9X+3Yf7MBGPo72tWXGbpUQPV7Zicx54iU6KxMZx08U+jMfjad+zxTZcmd/sySPcpYC0YCAjXWSeQZhax9E6qzbrvpZ7O/vR7m9WvC1XDxcPvEQnL9pue3Y/3nhvAO1tzWj3NyM6NoGKshL0nojC4y4V3UTLcRkXyoWBjDQrZOp2Pr1qRvfEpdZxRMcmVO+rdLvWHi4eeKnYpfZGK134nDdnWlF+H7iMC6lhICPN8l1EUW+vWigSw0BkFHc9fwC7U4Y6Cu2JSx1OrChTn89SW5XeE6a3h0vtwKs3aMo6RGwmvib2xlmFRPoxkJFmuQ6yQ9HRjBNldUUZfvDLP+CsWbVYecEcRMcmUFleije7B3DPjoN46NqzMpac2PX2cby0vyejvqvQRRRThxMDR4Pw++oz/gZwMnzNbazGq+suNLyHS284lXmIWIkRQcppr4kT6ZlVyHBNdBIDGWmmdpD1uEtRU+XO2BducUsD7vziGfjR//tj2tCF31ePVf5m9A993KuWGBJdecEcxaAEFL6WV2I4sX8ohmWtn8SGFw5lnNh/dM0CTK+pxPQc253m09OlZ8g3cf833hvA6kt8aJ1Vmwy0u94+ji/MO0WqE5cRQYornstB6+QWhmuijzGQkWZqB9m7rjgDdz1/ELs702/bfbgP9790CAub6rDzT8eTP08Erg1fOjP5s8SQ6PLzmlTbUehwR+pw4uY8a73yOZHoHfLtG4zhjfcGFJfn8Pvq8dnT6qUJH0YFKSv3HqT8aZncwnBNlI6BjDRTO8ie3VSL9c8dUPy9PZ39WKUwa3FvZz/GJ+LJfyeGRHPVdxm5llc+Rbb5nkj01tWER0azLs+xt7Mfd+04iM2SnLSMClKsTZJHrsktDNdE6RjISJdsB9l3+oZUfy/brMbUhVQTQ6K56rvMXssr11BkrhNJ/1Aseb/Ux9C7WndNZbnq8hy7JTppGRWkuOK5XNQuePL5TLDejJyMgYx0UzrI1lSqbxmUrdfLmzKbMTEkunXPEWxa3goAaaHMirW8tAxFqp1IPO5SxIGMWrolLQ3YePX85JCvx12K9rbmZF1Ynacc1ZXpX8eGajfe7VcPurL0CBkVpLjwrnPo/Uyw3uxjDKbOxEBGhlA7Ubb56hE4Gsz4+eQTaOqQ6NqOQHJBSQA4ta4Kp9RU6jromFV0r3YiaW9rxoYdB9OW60g8xoYXDuGBZfNx74uH8LXzmjLqwiafXLweN06tUz/RyNIjVGiQSn0v7/ziGXijewD3v/SHZA8rF96Vj57PBOvNPsZg6lyueDwez303ZwiHw/B6vQiFQqipyTGFjnTrCQ4r1pd9/6p5uP+lP+CVP/am/fxH1yzAjNoqxaUyhqJjCA/nLrQPRWIIRkYxFBvDUGwctVXlaJxagaHYuO6DVlfvIJY+sivr83t13YWY21iNUCSGNR0BxRPJM988H1//x//O+hg7//pCTKkow60/fysjtCXamHpyUftbk+9rd9k+H4nPgdrvKb2X9105D+HhGKZUcOFdWWn9TGj9bjpdKBLL6H1PkO14UCz05A72kJFh1Ip4H7r2LMWfq13tnfYJ9QPsseAw3vswgsd2Hk4b2tx49Xy8vP9YxoxPo4ru1SY3TB6anTw0GR0dR6nLhTe6g4p/Y3Ixs5O2YspnBwO1npG7dxzkCSgPdhru0vqZ4GSOk5TqV1OPMW/3DmLaFDeHMCXFQEaGylbEq/TzQrdi+k2WBWQbp1ZkhLHUx85WCK+npiXbiaRv8ONaOo+7VHHJisUtDdi0vBVrOwJpkxoSJp9cnLQVk95ZrXpn4tkpbNiRHYe7tHwmOJnjpMnBNNsxRvR7SvlhICNhCpn23jcYQ+PUCsWZmLn2qcx2Na23zinbiSTxGNmWrNh9uA8T8Tja25oVZ1AqnVyKcQ+8UCSG6Ng4tlx/dnJ3h617jqSF2NT30o5hw05krsPiZI6TJgfTbMcYGd5TyqS+4BNpForE0NU7iED3ALqODyIUUZ91SIUNQ4RHRrMGr3zXMUsMDy5paUj7uZ7hwdTHaJ1Vm3XHgb2d/WidVZvx82I6uajpCQ5jdUcAX9i0Bzc9/Sban/wdAt0nF8n1uEuT90u8l7nCBr+P2i6A7MqI76YTJIJpgtoxxu7vKWViD5kBeGWen0KGIWoqy/HhkPLBRm0ds8UtDSgrdSEUUe59M2J4MPEYb/cOav4d4ORs1O9fNa9oTi7ZZAtXifcz0bOYGl65yGhustdhOWnoPl+Ta0rzHQ0ge2IgK5DMwwCiFTIM0VDtxm/f/VAxeG3dcwRbV56LUpcr7bH9vnqsuGAOLv+73Vg0uy5rYDZieNDrcWNajsfwVpXjiRWLEB2bQEVZCQJHg7j/pT9kbLhebNTC1d7OfrT7mzN6RmQPG1ZwQh1WMQ7dT5YaTKNjmTWoqWR4T+ljDGQF4pV5/gqZQej1uHHRpz6B5oYpANIXkD1ndh3mTPPgseWt6D0RRfeHEQAne84ShfRWBGa1wOn31eM3bx9XrCEr9s9MrnDlrSrPeN+cEDbMxjos50gE01AkxvfUQRjICsQr88IUMgwxo7YKHncpHrhqPoZiY4jExuH9aB2y1P3ybnjqdcXfNzswZwuci1sasOKCOVjbEVD8vWL/zOQKV3UKvSQMG7k5aQkVOonvqbMwkBWIV+aFK2QYItfvig7MSoGzrMSFyzftVlzyAuBnJp9wxROTNlbWYXEJEmuwts45GMgKxCtze7NDYJ4cGkORGBbNruNnJgu1cPXAsvnoH4rhnb6hjJM8T0zamFGHlRq+vFXlcJeWYP32A5zoZBHW1jkDt04yQL5bwpD57Lr1ED8zuSVO8olwVVlegnt2HMK//yl9Cy6e5MWaPMt89SU+BLoHFGc5c3sfKjZ6cgcDmUEmnzx4ZW4fdg0/qZ+ZKRVlcJeWIDgcQ3Ulh3cmC0ViWP1MQHEHhsUtDdjMk7wQSnsrPrFiUda6TaB49p0kAriXpRDsMrYvuw5lJT4zXMcut94T0azbYe0+3IfeE1Hh72cxUpplzrWxiPLDQEZFId/AbHZhMtex0yY4rH4SD+W4ncyhNGkm350yiIodAxlRFmb3XIUiMRwLjWD5eU1Y5W/O2KuR69h9bErKdklKPDluJ3MoTZpR2ymDk1aIsuNelkQKzN4bMbFX42V/t1t1r0YO75w0xV0Gv69e8Ta/rx5T3Ly2FGHy3orAyZ0yVvmb0Tbp/eISJETqeBQjUmDmDgxa92oEOLyTUOspx5pLWgCk78rg99VjzSUtqPXwdRJh8hIlHncp2tuaMcVdils+9ynceUUZSl0ulJa4UM+JKkSqGMiIFJi5oKyWvRoBDu+k8nrcmD3NgysWzES7vzm5/2fviSjmTPPwRC9QYtJM/1AMcQAbdhxM2xIsMczP94hIHYcsiRSYuaBsrrAXHZvg8I6CGbVV+MK8UzCnfgpmeisxp34KvjDvFJzCmajCeT1u1E9xY8MLh7B7Uu2YUcP8RE7HHjIiBWbuwJAr7J3WMIWzK7Pg8jL2ZeYwP1ExYA8ZkYJEbczkgmUjeq6UCqFTH3+Gt5InLpKO6H1jiWTHHjKiLMxaUJYbYZMT2WHfWCKZMZARqTBriMyuuwcQ5cvMYX6iYsBARiQI66GsY/aOC8SeX6JCMZARkaNxr1DriOj5DUViCEZGMRQbw1BsHLVV5WicWsEASNJhICMix+Jeodazsuf3WHAY730YwWM7D6ctGLz4o145Bm6SCWdZEpFjaVmKgeQUisTwm7ePZ4QxANjNtc9IQgxkRORYXIrBufoGY2icWqG4iTnAwE3yYSAjIsfiUgzOFR4ZRXRsQvU+DNwkEwYyInKsXIvwcikGedVUlqOiTP0UxsBNMmEgIyLHMnPHBRKrodqN3hNR+H31irczcJNsOMuSiByNi/A6k9fjxkWf+gSaG6YAgOIsS77HJBMGMiJyPC7C60wzaqvgcZfigavmYyg2hkhsHF6uQ0aSYiAjIiJpMWyTU7CGjIiIiEgw9pARkaGs3DeSe1Tmz6mvnVOfFzkfAxkRGcbKfSO5R2X+nPraOfV5UXHgkCURGSLXvpFGbmNj5d9yGqe+dk59XlQ8GMiIyBBW7hvJPSrz59TXzqnPi4oHAxkRGcLKfSO5R2X+nPraOfV5UfFgDRkRGcLKfSO5R2X+nPra5XpeUyrK0NU7yGJ/si32kBGRIazcN5J7VObPqa+d2vNa3NKA198bwNJHdmHZln1Y+vAurOkIoCc4bHEribJjICMiQ1i5byT3qMyfU187ted188U+3P/SH9J+zmJ/shtXPB6Pi26EVcLhMLxeL0KhEGpqakQ3h8iREutAWbFvpJV/y2mc+tpNfl5lJS5cvmk3IrFxxfu/uu5CzG2striVVCz05A7WkBGRoazcyobb5uTPqa/d5OcV6B7IGsYAFvuTfXDIkoiIHMupkxjIeRjIiIjIsZw6iYGch4GMiIgcy6mTGMh5WENGRESONrO2Co8tb3XkJAZyDgYyIiJyPKdOYiDn4JAlERERkWAMZERERESCMZARERERCcZARkRERCQYAxkRERGRYAxkRERERIIxkBEREREJxkBGREREJBgDGREREZFgDGREREREgjGQEREREQnGQEZEREQkGAMZERERkWAMZERERESCMZARERERCcZARkRERCQYAxkRERGRYAxkRERERIIxkBEREREJxkBGREREJBgDGREREZFgDGREREREgjGQEREREQnGQEZEREQkGAMZERERkWAMZERERESCMZARERERCcZARkRERCQYAxkRERGRYAxkRERERIIxkBEREREJxkBGREREJBgDGREREZFgDGREREREgjGQEREREQnGQEZEREQkmBSB7N1338UNN9yA5uZmVFVVYe7cubjnnnsQi8VEN43IVkKRGLp6BxHoHkDX8UGEIvyOEBHJoEx0A7T405/+hImJCfz4xz+Gz+fDwYMH8a1vfQtDQ0N46KGHRDePyBZ6gsP47rP7sftwX/JnS1oa8MNrFmBmbZXAlhERUS6ueDweF92IfDz44IN4/PHH8c4772j+nXA4DK/Xi1AohJqaGhNbR2StUCSG1R2BtDCWsKSlAY8tb4XX4xbQMiKi4qUnd0jRQ6YkFAph2rRpqveJRqOIRqPJf4fDYbObRSRE32BMMYwBwGuH+9A3GGMgIyKyMSlqyCbr6urCY489hhtvvFH1fhs3boTX603+N2vWLItaSGSt8Mio6u0nctxOxmItHxHpJTSQbdiwAS6XS/W/119/Pe13enp6cNlll+Haa6/FN7/5TdXHX79+PUKhUPK/o0ePmvl0iISpqSxXvX1qjtvJOD3BYazuCGDpI7uwbMs+LH14F9Z0BNATHBbdNCKyMaE1ZH19fejrUx5mSZgzZw4qKysBnAxjF198Mc4//3w8+eSTKCnRlydZQ0ZOFYrEsKYjgNdYQyYUa/mIKJU0NWQNDQ1oaGjQdN+//OUvuPjii3HOOedg27ZtusMYkZN5PW788JoF+N6z+9NC2ZKWBvzomgUMARZhLR8R5UuKov6enh5cdNFFaGpqwkMPPYTjx48nbzvllFMEtozIPmbWVuGx5a3oG4zhxMgoplaWo6HazQBgIdbyEVG+pAhkv/71r9HZ2YnOzk6ceuqpabdJumoHkSm8HgYwkVjLR0T5kmLcb+XKlYjH44r/ERHZRUO1G0talMswlrQ0oKGaYZmIlEkRyIiIZJCo5ZscyljLR0S5SDFkSUQkC9byEVE+GMiIiAzGWj4i0otDlkRERESCMZARERERCcZARkRERCQYAxkRERGRYAxkRERERIIxkBEREREJxkBGREREJBgDGREREZFgDGREREREgjGQEREREQnGQEZEREQkGAMZERERkWAMZERERESCMZARERERCcZARkRERCQYAxkRERGRYAxkRERERIIxkBEREREJVia6AVaKx+MAgHA4LLglRERE5HSJvJHIH2qKKpCdOHECADBr1izBLSEiIqJiceLECXi9XtX7uOJaYptDTExMoKenB1OnToXL5bLkb4bDYcyaNQtHjx5FTU2NJX+T9OP7ZH98j+TA98n++B5ZJx6P48SJE5g5cyZKStSrxIqqh6ykpASnnnqqkL9dU1PDD74E+D7ZH98jOfB9sj++R9bI1TOWwKJ+IiIiIsEYyIiIiIgEYyAzWUVFBe655x5UVFSIbgqp4Ptkf3yP5MD3yf74HtlTURX1ExEREdkRe8iIiIiIBGMgIyIiIhKMgYyIiIhIMAYyIiIiIsEYyASJRqNYuHAhXC4X3nrrLdHNoY+8++67uOGGG9Dc3IyqqirMnTsX99xzD2KxmOimFb0tW7agubkZlZWVOOecc7B7927RTaKPbNy4Eeeeey6mTp2KxsZGXHXVVfjzn/8sulmUw8aNG+FyuXDLLbeIbgqBgUyY2267DTNnzhTdDJrkT3/6EyYmJvDjH/8Yhw4dwt/+7d/iH/7hH3D77beLblpR+9nPfoZbbrkFd9xxBwKBABYvXozLL78c3d3doptGAHbt2oWbb74Z//Vf/4VXXnkFY2NjuPTSSzE0NCS6aZTF7373O/zkJz/BggULRDeFPsJlLwT41a9+hXXr1uHZZ5/FmWeeiUAggIULF4puFmXx4IMP4vHHH8c777wjuilF6/zzz8fZZ5+Nxx9/PPmz008/HVdddRU2btwosGWk5Pjx42hsbMSuXbuwZMkS0c2hSQYHB3H22Wdjy5Yt+P73v4+FCxfi0UcfFd2sosceMot98MEH+Na3voWf/vSn8Hg8optDGoRCIUybNk10M4pWLBbDG2+8gUsvvTTt55deein27dsnqFWkJhQKAQC/NzZ1880344tf/CI+97nPiW4KpSiqzcVFi8fjWLlyJW688UYsWrQI7777rugmUQ5dXV147LHH8PDDD4tuStHq6+vD+Pg4pk+fnvbz6dOn4/333xfUKsomHo9j3bp1aGtrw7x580Q3hyb5l3/5F7zxxht4/fXXRTeFJmEPmQE2bNgAl8ul+t/rr7+Oxx57DOFwGOvXrxfd5KKj9T1K1dPTg8suuwzXXnstvvnNbwpqOSW4XK60f8fj8YyfkXirV6/G/v370dHRIbopNMnRo0fxne98B08//TQqKytFN4cmYQ2ZAfr6+tDX16d6nzlz5uC6667Diy++mHYSGR8fR2lpKa6//no89dRTZje1aGl9jxIHqZ6eHlx88cU4//zz8eSTT6KkhNcuosRiMXg8HvziF7/AsmXLkj//zne+g7feegu7du0S2DpKtWbNGjz//PN47bXX0NzcLLo5NMnzzz+PZcuWobS0NPmz8fFxuFwulJSUIBqNpt1G1mIgs1B3dzfC4XDy3z09Pfirv/or/Ou//ivOP/98nHrqqQJbRwl/+ctfcPHFF+Occ87BP//zP/MAZQPnn38+zjnnHGzZsiX5szPOOANXXnkli/ptIB6PY82aNdi+fTt+85vfoKWlRXSTSMGJEyfw3nvvpf1s1apV+MxnPoPvfve7HGIWjDVkFmpqakr7d3V1NQBg7ty5DGM20dPTg4suughNTU146KGHcPz48eRtp5xyisCWFbd169bhG9/4BhYtWoTPfvaz+MlPfoLu7m7ceOONoptGOFkk/swzz2DHjh2YOnVqsrbP6/WiqqpKcOsoYerUqRmha8qUKaivr2cYswEGMqIUv/71r9HZ2YnOzs6MkMzOZHG+9rWvob+/H/fddx+OHTuGefPm4eWXX8bs2bNFN42A5HIkF110UdrPt23bhpUrV1rfICIJcciSiIiISDBWKhMREREJxkBGREREJBgDGREREZFgDGREREREgjGQEREREQnGQEZEREQkGAMZERERkWAMZERERESCMZARUVFauXIlXC4XXC4XysvLcdppp+HWW2/F0NBQ8j7PPvssLrroIni9XlRXV2PBggW477778OGHHwIAjh07hq9//ev49Kc/jZKSEtxyyy2Cng0RyY6BjIiK1mWXXYZjx47hnXfewfe//31s2bIFt956KwDgjjvuwNe+9jWce+65+NWvfoWDBw/i4Ycfxu9//3v89Kc/BQBEo1F84hOfwB133IGzzjpL5FMhIslx6yQiKkorV65EMBjE888/n/zZt771Lbz00kvYsWMHzj//fDz66KP4zne+k/G7wWAQtbW1aT+76KKLsHDhQjz66KPmNpyIHIk9ZEREH6mqqsLo6CiefvppVFdX46abblK83+QwRkRUKAYyIiIAv/3tb/HMM89g6dKlOHz4ME477TSUl5eLbhYRFQkGMiIqWi+99BKqq6tRWVmJz372s1iyZAkee+wxxONxuFwu0c0joiJSJroBRESiXHzxxXj88cdRXl6OmTNnJnvEPvWpT2HPnj0YHR1lLxkRWYI9ZERUtKZMmQKfz4fZs2enBa+vf/3rGBwcxJYtWxR/LxgMWtRCIioW7CEjIprk/PPPx2233Ya//uu/xl/+8hcsW7YMM2fORGdnJ/7hH/4BbW1tydmXb731FgBgcHAQx48fx1tvvQW3240zzjhD4DMgItlw2QsiKkpKy15M9vOf/xx///d/j0AggImJCcydOxdf+cpXsGbNmuRMS6Vas9mzZ+Pdd981p+FE5EgMZERERESCsYaMiIiISDAGMiIiIiLBGMiIiIiIBGMgIyIiIhKMgYyIiIhIMAYyIiIiIsEYyIiIiIgEYyAjIiIiEoyBjIiIiEgwBjIiIiIiwRjIiIiIiARjICMiIiIS7P8H7UQwWri4F40AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (7, 7))\n",
    "\n",
    "sns.scatterplot(x = data_pca1[0], y = data_pca1[1])\n",
    "\n",
    "plt.xlabel(\"PC1\")\n",
    "\n",
    "plt.ylabel(\"PC2\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "eH9VeKRBvujl"
   },
   "source": [
    "**Let's try adding hue to the scatter plot**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "13kD-jNtvujl"
   },
   "source": [
    "### **Question 5:** \n",
    "\n",
    "- **Create a scatter plot for the first two principal components with hue = 'cylinders' (2 Marks)** \n",
    "- **Write your observations on the plot (2 Marks)**\n",
    "- **Hint:** concatenate the DataFrames 'data_pca1' and 'data' on axis = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "id": "VrB1kzKpvujl",
    "outputId": "4afc14af-3b06-4f63-b345-3d7cb46ba165"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_concat = pd.concat([data, data_pca1], axis = 1)\n",
    "\n",
    "plt.figure(figsize = (7, 7))\n",
    "\n",
    "sns.scatterplot(x=df_concat[0], y=df_concat[1], hue = df_concat['cylinders'])   # Create a scatter plot with x = 0 and y = 1 using df_concat dataframe\n",
    "\n",
    "plt.xlabel(\"PC1\")\n",
    "\n",
    "plt.ylabel(\"PC2\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "v1i8nQCevujl"
   },
   "source": [
    "**Observations:**\n",
    "\n",
    "* When we consider the number of cylinders we can see these band form between PC1 and PC2, so if there are more cylinders this relates to higher PC1."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4TY5Sh719iVg"
   },
   "source": [
    "## t-SNE"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PLaYBsvIvujm"
   },
   "source": [
    "### **Question 6:** \n",
    "- **Apply the t-SNE embedding with 2 components for the DataFrame 'data_scaled' (use random_state = 1) (3 Marks)**\n",
    "- **Write your observations (2 Marks)**   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "id": "dW1jMGn7u4D7"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\AE20701\\Anaconda3\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:780: FutureWarning: The default initialization in TSNE will change from 'random' to 'pca' in 1.2.\n",
      "  warnings.warn(\n",
      "C:\\Users\\AE20701\\Anaconda3\\lib\\site-packages\\sklearn\\manifold\\_t_sne.py:790: FutureWarning: The default learning rate in TSNE will change from 200.0 to 'auto' in 1.2.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "tsne = TSNE(n_components=2, random_state=1)    # Apply the t-SNE algorithm with random_state = 1\n",
    "\n",
    "data_tsne = tsne.fit_transform(data_scaled)    # Fit and transform t-SNE function on the scaled data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "id": "gC17thkgu4D7",
    "outputId": "bcfb2a47-d252-40e7-bfad-b7959472ed4e"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(398, 2)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_tsne.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "id": "Gfybekuyu4D8"
   },
   "outputs": [],
   "source": [
    "data_tsne = pd.DataFrame(data = data_tsne, columns = ['Component 1', 'Component 2'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "id": "oNoqqDg5u4D8",
    "outputId": "18f48a19-17fe-4e23-80d9-3877d752ee9b"
   },
   "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>Component 1</th>\n",
       "      <th>Component 2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-23.104227</td>\n",
       "      <td>-30.228313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-24.950542</td>\n",
       "      <td>-29.500071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-24.119961</td>\n",
       "      <td>-30.136980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-23.673611</td>\n",
       "      <td>-29.754570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-23.841228</td>\n",
       "      <td>-30.443615</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Component 1  Component 2\n",
       "0   -23.104227   -30.228313\n",
       "1   -24.950542   -29.500071\n",
       "2   -24.119961   -30.136980\n",
       "3   -23.673611   -29.754570\n",
       "4   -23.841228   -30.443615"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_tsne.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "id": "Ix_OL7AIu4D9",
    "outputId": "3fee5301-ea4f-41d5-fc37-79ec5d61f877"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x = data_tsne.iloc[:,0], y = data_tsne.iloc[:,1])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "id": "WW3GQboou4D9",
    "outputId": "72fec8c5-1ea3-4418-be0a-dbad1788bf78"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's see the scatter plot of the data w.r.t number of cylinders\n",
    "sns.scatterplot(x = data_tsne.iloc[:,0], y = data_tsne.iloc[:,1], hue = data.cylinders)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "PEfKLZkou4D-"
   },
   "source": [
    "**Observations:______________**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "id": "aLTJSNBvu4D_"
   },
   "outputs": [],
   "source": [
    "# Let's assign points to 3 different groups\n",
    "def grouping(x):\n",
    "    first_component = x['Component 1']\n",
    "    \n",
    "    second_component = x['Component 2']\n",
    "    \n",
    "    if (first_component > 0) and (second_component > -5): \n",
    "        return 'group_1'\n",
    "    \n",
    "    if (first_component > -20 ) and (first_component < 5):\n",
    "        return 'group_2'\n",
    "    \n",
    "    else: \n",
    "        return 'group_3'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "id": "R6rWEgPPu4EA"
   },
   "outputs": [],
   "source": [
    "data_tsne['groups'] = data_tsne.apply(grouping, axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "id": "RX-r_I0-u4EA",
    "outputId": "ca9011cf-b67e-4376-be11-4692ebfe1326"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x = data_tsne.iloc[:,0], y = data_tsne.iloc[:,1], hue = data_tsne.iloc[:,2])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "id": "hHh5_G9iu4EB"
   },
   "outputs": [],
   "source": [
    "data['groups'] = data_tsne['groups'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model year</th>\n",
       "      <th>groups</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>group_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>group_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>group_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>group_3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>group_3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
       "0  18.0          8         307.0       130.0    3504          12.0   \n",
       "1  15.0          8         350.0       165.0    3693          11.5   \n",
       "2  18.0          8         318.0       150.0    3436          11.0   \n",
       "3  16.0          8         304.0       150.0    3433          12.0   \n",
       "4  17.0          8         302.0       140.0    3449          10.5   \n",
       "\n",
       "   model year   groups  \n",
       "0          70  group_3  \n",
       "1          70  group_3  \n",
       "2          70  group_3  \n",
       "3          70  group_3  \n",
       "4          70  group_3  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RMrLjS6yvujo"
   },
   "source": [
    "### **Question 7:** \n",
    "- **Complete the following code by filling the blanks (2 Marks)**\n",
    "- **Write your observations on different groups w.r.t different variables (3 Marks)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "id": "TycHswKhu4EB",
    "outputId": "0aa3d1f1-5f73-4cbc-b603-1aac27b3a874"
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x2000 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_col = data.columns.tolist()\n",
    "\n",
    "plt.figure(figsize = (20, 20))\n",
    "\n",
    "for i, variable in enumerate(all_col): \n",
    "    if i == 7:\n",
    "        break\n",
    "    \n",
    "    plt.subplot(4, 2, i + 1)\n",
    "    \n",
    "    sns.boxplot(data = data, y=variable, x='groups')      # Create the boxplot with groups on the x-axis and variable on the y-axis (use the DataFrame 'data')\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    \n",
    "    plt.title(variable)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "name": "Solution_Notebook_PCA_and_tSNE_Project.ipynb",
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}