Lesson11-Univariate,Bivariate and MultiVariate单变量多变量分析及柱状图.ipynb

{
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  {
   "cell_type": "markdown",
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   "source": [
    "# 第十一课 Univariate,Bivariate,MultiVariate Analysis & Histograms\n",
    "\n",
    "源文件下载链接: https://pan.baidu.com/s/1yuNlG6u9_C31fzhzbzqASA 提取码: ebrh\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=sns.load_dataset('iris')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa\n",
       "3           4.6          3.1           1.5          0.2  setosa\n",
       "4           5.0          3.6           1.4          0.2  setosa\n",
       "5           5.4          3.9           1.7          0.4  setosa\n",
       "6           4.6          3.4           1.4          0.3  setosa\n",
       "7           5.0          3.4           1.5          0.2  setosa\n",
       "8           4.4          2.9           1.4          0.2  setosa\n",
       "9           4.9          3.1           1.5          0.1  setosa"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
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       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
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       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
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       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
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       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
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      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
       "145           6.7          3.0           5.2          2.3  virginica\n",
       "146           6.3          2.5           5.0          1.9  virginica\n",
       "147           6.5          3.0           5.2          2.0  virginica\n",
       "148           6.2          3.4           5.4          2.3  virginica\n",
       "149           5.9          3.0           5.1          1.8  virginica"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(150, 5)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df.shape"
   ]
  },
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   "execution_count": 11,
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       "pandas.core.frame.DataFrame"
      ]
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     "execution_count": 11,
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   "source": [
    "type(df)"
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   "execution_count": 12,
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    {
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       "      <td>setosa</td>\n",
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       "      <td>setosa</td>\n",
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       "      <td>setosa</td>\n",
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       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
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       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
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       "      <td>6.5</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
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       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
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       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
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       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0             5.1          3.5           1.4          0.2     setosa\n",
       "1             4.9          3.0           1.4          0.2     setosa\n",
       "2             4.7          3.2           1.3          0.2     setosa\n",
       "3             4.6          3.1           1.5          0.2     setosa\n",
       "4             5.0          3.6           1.4          0.2     setosa\n",
       "..            ...          ...           ...          ...        ...\n",
       "145           6.7          3.0           5.2          2.3  virginica\n",
       "146           6.3          2.5           5.0          1.9  virginica\n",
       "147           6.5          3.0           5.2          2.0  virginica\n",
       "148           6.2          3.4           5.4          2.3  virginica\n",
       "149           5.9          3.0           5.1          1.8  virginica\n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 150 entries, 0 to 149\n",
      "Data columns (total 5 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   sepal_length  150 non-null    float64\n",
      " 1   sepal_width   150 non-null    float64\n",
      " 2   petal_length  150 non-null    float64\n",
      " 3   petal_width   150 non-null    float64\n",
      " 4   species       150 non-null    object \n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 6.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['setosa', 'versicolor', 'virginica'], dtype=object)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['species'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": []
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   "cell_type": "markdown",
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  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       True\n",
       "1       True\n",
       "2       True\n",
       "3       True\n",
       "4       True\n",
       "       ...  \n",
       "145    False\n",
       "146    False\n",
       "147    False\n",
       "148    False\n",
       "149    False\n",
       "Name: species, Length: 150, dtype: bool"
      ]
     },
     "execution_count": 15,
     "metadata": {},
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   ],
   "source": [
    "df['species']=='setosa'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
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       "      <td>setosa</td>\n",
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       "      <th>4</th>\n",
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       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
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       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>5.2</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>5.5</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>5.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>4.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>5.3</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal_length  sepal_width  petal_length  petal_width species\n",
       "0            5.1          3.5           1.4          0.2  setosa\n",
       "1            4.9          3.0           1.4          0.2  setosa\n",
       "2            4.7          3.2           1.3          0.2  setosa\n",
       "3            4.6          3.1           1.5          0.2  setosa\n",
       "4            5.0          3.6           1.4          0.2  setosa\n",
       "5            5.4          3.9           1.7          0.4  setosa\n",
       "6            4.6          3.4           1.4          0.3  setosa\n",
       "7            5.0          3.4           1.5          0.2  setosa\n",
       "8            4.4          2.9           1.4          0.2  setosa\n",
       "9            4.9          3.1           1.5          0.1  setosa\n",
       "10           5.4          3.7           1.5          0.2  setosa\n",
       "11           4.8          3.4           1.6          0.2  setosa\n",
       "12           4.8          3.0           1.4          0.1  setosa\n",
       "13           4.3          3.0           1.1          0.1  setosa\n",
       "14           5.8          4.0           1.2          0.2  setosa\n",
       "15           5.7          4.4           1.5          0.4  setosa\n",
       "16           5.4          3.9           1.3          0.4  setosa\n",
       "17           5.1          3.5           1.4          0.3  setosa\n",
       "18           5.7          3.8           1.7          0.3  setosa\n",
       "19           5.1          3.8           1.5          0.3  setosa\n",
       "20           5.4          3.4           1.7          0.2  setosa\n",
       "21           5.1          3.7           1.5          0.4  setosa\n",
       "22           4.6          3.6           1.0          0.2  setosa\n",
       "23           5.1          3.3           1.7          0.5  setosa\n",
       "24           4.8          3.4           1.9          0.2  setosa\n",
       "25           5.0          3.0           1.6          0.2  setosa\n",
       "26           5.0          3.4           1.6          0.4  setosa\n",
       "27           5.2          3.5           1.5          0.2  setosa\n",
       "28           5.2          3.4           1.4          0.2  setosa\n",
       "29           4.7          3.2           1.6          0.2  setosa\n",
       "30           4.8          3.1           1.6          0.2  setosa\n",
       "31           5.4          3.4           1.5          0.4  setosa\n",
       "32           5.2          4.1           1.5          0.1  setosa\n",
       "33           5.5          4.2           1.4          0.2  setosa\n",
       "34           4.9          3.1           1.5          0.2  setosa\n",
       "35           5.0          3.2           1.2          0.2  setosa\n",
       "36           5.5          3.5           1.3          0.2  setosa\n",
       "37           4.9          3.6           1.4          0.1  setosa\n",
       "38           4.4          3.0           1.3          0.2  setosa\n",
       "39           5.1          3.4           1.5          0.2  setosa\n",
       "40           5.0          3.5           1.3          0.3  setosa\n",
       "41           4.5          2.3           1.3          0.3  setosa\n",
       "42           4.4          3.2           1.3          0.2  setosa\n",
       "43           5.0          3.5           1.6          0.6  setosa\n",
       "44           5.1          3.8           1.9          0.4  setosa\n",
       "45           4.8          3.0           1.4          0.3  setosa\n",
       "46           5.1          3.8           1.6          0.2  setosa\n",
       "47           4.6          3.2           1.4          0.2  setosa\n",
       "48           5.3          3.7           1.5          0.2  setosa\n",
       "49           5.0          3.3           1.4          0.2  setosa"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df['species']=='setosa']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_setosa=df.loc[df['species']=='setosa']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 50 entries, 0 to 49\n",
      "Data columns (total 5 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   sepal_length  50 non-null     float64\n",
      " 1   sepal_width   50 non-null     float64\n",
      " 2   petal_length  50 non-null     float64\n",
      " 3   petal_width   50 non-null     float64\n",
      " 4   species       50 non-null     object \n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 2.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df_setosa.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_virginica=df.loc[df['species']=='virginica']\n",
    "df_versicolor=df.loc[df['species']=='versicolor']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 50 entries, 100 to 149\n",
      "Data columns (total 5 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   sepal_length  50 non-null     float64\n",
      " 1   sepal_width   50 non-null     float64\n",
      " 2   petal_length  50 non-null     float64\n",
      " 3   petal_width   50 non-null     float64\n",
      " 4   species       50 non-null     object \n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 2.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df_virginica.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sepal_length    50\n",
       "sepal_width     50\n",
       "petal_length    50\n",
       "petal_width     50\n",
       "species         50\n",
       "dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_versicolor.count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Univariate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa['sepal_length'])\n",
    "plt.plot(df_virginica['sepal_length'])\n",
    "plt.plot(df_versicolor['sepal_length'])\n",
    "plt.ylabel('sepal_length')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "双引号与单引号有差别吗？In Python, such sequence of characters is included inside single or double quotes. As far as language syntax is concerned, there is no difference in single or double quoted string. Both representations can be used interchangeably. However, if either single or double quote is a part of the string itself, then the string must be placed in double or single quotes respectively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HUVlEGI0ybN1EnAy4ZmAgg9AkYPAgI4FgIyvdUKqAbFyoeXTSbYY4E14eA8h1E3HLoHYqcHw3E7k9lufgdMyeDCQ/y5zmvRE4uJuIC8jGMhtOpTusn930dBgBVN0yoJTGKKWTKKUDhm13qUQANYrorymlHZTS0ymlG6o9J4GxBQ/xoMZXg6HUkBCVxzJs3UR5NIPQJEYW6SgQamAZy5WwDDyqZXDqFToxeP0sGc44F6tlwGso2YWXpqIOloFsvhZHJq1bBtxlxcH7I/Cy2V4/UHeK/lkKuO/pMAIQ5SgExgRqfbUYSg0JUXksQxNhY/riZxtNpO4LTdLPDTaqmcGlCMh2mgGYBcDF3UxKdw9ZQ0tjBssAyEMGNbnbOdlYdQOjgAyYXUWRFpaZbOzHLIfNLTnd9nQYAQgyEBgTiPgiGEoNYdXiVZD5k5+KgDeAVYtXjdLMBDQYF1GeyatY8wwUs2XAEWpkC2RJArKDZhDtAWYsZe/nfooJtAAjDuKxdxMZ525EPs0AyI0oMrqJgFzLIXoMaJ7P3k9bAiT61SY/AE67yn1PhxGAIAOBMYGIL4LB1CA62ztx8fSLte2t4VasXrp63OkFE7LMhjFqhruK+CLotxGQQ4368UGVDKxuomIibHIsA3WBXvFjYN5l7P3Z1wOfuZu998jm/IDYCfYk7q9ln+3qEzm6iWye/AGLmwi5lsPKh4HWs9j7hhnA1zbo937+zWz/GIsuEmQgMCYQkSMYSrN/ltYaJgz+33P/L9ZdvW5cEsHq9asnXkSUcUHkZGDVDJzIIOQgIL/8o8IRNk6WQTatj59J6uN6JHO10fgJINjAWnACDpZBlLlyrCjkJnKyDIzjHN0OHH3PcD/qnMdYdJGoWiowJhDxRTCsuhAGkizWIO1Us36MI1+ZjfFGbCYY3USaZWAJLaUZZ83AaBnka5ZjjbBRkqzjGIfHEFrKS2MoKZ0MvBI73mgZhBoBOZh7H9r9OLiJpAJuIieyAHQy6H0fOPCOvv2hPzFfb4xEFwnLQGBMgGsGANCf6AcApMZpAbAJGxFl6yaySzpz0Ax8Bs2AR9wQdQkyNssxglL7DGSAlbHmloGS0BdYj2xjGTSyMYBcy4DSwm6ivNFEcCADdW40C2x7XN/e+W/s3vm5HmlMRBcJMhAYE4j4IhhODyOTzaA/qZJBdnySwYSNiLJ1E3EyUGP7rXkGAIv6kYO6ZZDN6hE3vFdyxiHCJpMGQC2agerQyKT0eVjdRMbexbETbC7cMrAmnmVS5gJ3RvCGOm4FZIDNbdIc9v7wu0CN+vvn3wW/Jk+UG+XoIkEGAmMCER+LtBhOD+tuoioXAKuWyLtq8Sp4bP614kq85DHGhCBtXPD4E74S1wVbwGwZ+CMs4SyrMJHUHwFAdddO9BhbbKUAE4DtImysLS8B89O4ZhkY3URWAfk4sPdV3SKwkoFTxVJ+LT6WEZm0+b6d3ESTT9W1iJaF+j1FjwHTz9OP3fYk+45GUVQWZCAwJsDJYCg1pFsGVXQTVVPkvWzWZQhKQcjEHCLbn+wvaYwxI0grSX3xM0YTyUE9oYoaSlh7ZL3C6Cs/0iOOuIh8zf1sXyYFdP6r3izHOiZgTwbZtCHENWEY16v3GcikGXENHQE23s/255CBQ8VS41g50URqOYq8AnKcEQy/brxf377yYRYOCwAeH2v688qPRlVUFmQgMCbAyWAwNTgiAnI1eyn0xnsRVaIIcrdEmWOMmb4PmRTzvQPmaCIe1w+Yk87+/WP6IrrhXuC5b7D3XESO9gKgZgKxQrMMLCWsAXWh526ilFkzkPzAB+uAHzapJ1Fgm1o0+dmvm8dIqYTiVI6Cj2VEMQLywH7g3UeYFQAAB9XiCi/8A3v93x+yV+4O5UIyzbLX1XVMaB8hCDIQGBOo9bEY8CPRI1AoWxiqqRlUU+TdeWInAEZslRhjzAjSSpKFaAIGN1GCCbN8gTZqBvMuM5RgCAIz/kg9VyUDo1vIqYAcX2Rt3USG0FLFJrR06tnAnOX6efwaH/+WeYxS3USFyMAbAJrm6roDF7DPv5m9Lv6SWjbbn3uuk6BeRQgyEBgT4JbB/iG9z1E13UTVFHl39e0CAEwJ2QuCbscYM4K0kgACdWwBM0YTyQG9iJtRM/CpArEUYBZCQE360iyDHvO1ncYE7MtRZFK6myhj0Qwkn9ophejb+N+TJcO9KDdRTjRRATdRNgtkEkw8z6b17wDQCdLjVd1oaUvtJclZUK8iBBkIjAlwMjgwdEDbVk0B2amXQiXKXuw6sQvTaqbhG2d/oyJjVHOurpBJscXPV2OOJpL8Bs3AYBnETzBh+C/+m71yrSBpYxkUJAO7EtYFNAMlqbtornmAzQEkN7TUqf8xYF+OgtLCbiLFYLEYvwPi0e8pHWOf+X7e82HxnzsL6lWESDoTGBPQLINhg2VQpJuoa08X1mxagyPRI2gJt2DV4lUFk7v4/u+9/j2ks2m0hluLOq+Yubz00UvI0AzWbFqDK2dficd2PQYAJY/Bj//2q98GBcWU0BR84+xvjHwCm5JkloEvbI4mkoJ6W8usIensqv8Awmp46advB07sAe5YpJOCyU3kRAZcQLYpR5FN6/5+JWnJM1AF5DOuAw5tBmb+ETC/k+kGVuLJ6yayWew1CyRPaCmf18e+Apzzl/p38IdfG8ggAdROY9sB4G+2AT+ayUphd/6r/fdRRQjLQGBMICyxpzJuGQSlYFECcjmRNp3tnZhdPxsA8OKfvlgRIli9fjUylC2Gh6OH8fTupxGWwrh67tVllda4bNZlIGq9/LuX3z06mcy8RpAvbHgiT1rcRBnzE7oRfoubaNiQbevUgczOMjBlIMf19/zvxSPpfQaGj7Jz+dhSwMYy4G6iUO74dtFEnHTyJZ3x8FlrEIEc1IkvHc/dXzNl1IrYFU0GhJC5hJB7CCHrCCH/y3+qOTmBkwdejxc1cg0ODh8EAEwOTS5KMyg30iap/pNXQqx2mksik0CULw4lIpFJIKsmaB2PHy/rWiUjk2RiqC9siSZy0Aw8FscDf/K2E5DtQjON2201A8VQjiKhWyReQwby8DGgZrLeeMa4GHPkcxPZlaPgf5f53EScpGQLwUh+neAUGzIIN5tJcgThxk30BIC7ANwDIFPgWAEB14j4IhiOsqe0SYFJRZFBuZE2nAwSSgJ+r01Uhws4jZmhmbLJwHh+b7y3rGuVDMVGM+ClIuw0AysZSH72VG+0DIiXneMUTZRPM0gNG3oEGENLvXoG8vBRIGwIz5SDzppBsYXqjJZBITdRDhkEDW6iuPm+AGYZHByd/l5u3EQKpfROSunblNKN/KdqMxM46cB1g4gvUrSbqNxIG04GSac+ti7gNKbP45sgZJDQ3UTG0FLZqBkY8gysZECIuVjd8DHmM+fXsR0zj2aQGNC3mcpRqJaBkgKGe9gCyyEHbTSDYbYoe22ejbVoIiMZGC0Dv3kbByccq+tJDujEl47nkkXNlFGzDAqSASGkkRDSCOBZQshfEUJa+TZ1e6Hz6wkhTxJCdhJCdhBCzrfs/wQhZIAQskX9uaWM+xEYx+BkUO+vh+yVNcsgXymGciNtKkkGqxavAuGhjIa5dNR1lE0Gw2m99PPouYlSbPGTQ/rTdDIK7Pmdnl2bzTprBgBbjN97mpVbGD7Gav0DzmTAXUnGPghcMzCSgZI0awZemRHE8FHmJuKQgvblKOxcRPxaIBbLwEAGHg87xmoZcDKwWhtSQD82HdfLanPUTGbncpF9BMtTFGMZbASwAcCfA/hbAOvVbXx7IawB8AKldD6AMwHssDnmVUrpWerPPxY1c4EJBxMZeGSks+mCAnFneye+c+53tGu4bYaTVP8xk04+axdYMWsFJCIhJIVAQLS5zKqfpZXnLhXR1FiwDNRS0kY3UXKALeobfsE+c82AeHQ/vRHpOMsv+N0/sXN5OKVTNNHO59nrW/+hb/N4mCWSQwYGzYALyLHjuZaBGzIgRI9M4jC6iYDc/fyafDwjpIAuljtZBoBOgiNYnqKgZkApnQUAhJAApdT0GyOEBOzP0vbXAlgG4EvqtVIAxmcpSoGqg2ch1/nr4PP6kMqkiuoNcMmMS3DL+ltw8fSL8dOLflr0eFma1YTjSlgG+4f2I03T+N4538NVc67Stm86ugkxxaahigtwy0LySOhNjAIZUMqetKUAWzgHD7JyCRy81MMzN7MMW6uLyNq/YNMD7HXrf7JXazSR9fgtD7MfXvPf68t1Exk1A68fAGWfayyawZBF20kN24eVcuSQgcEysNsPGJr+WN1EhvEVO82gmb3+/DzzNUeg54EbzWB9kduMaAfQA+A+QshmQsgvCCF2FHw+IeRdQshvCSGn2V2IEHIDIWQDIWRDT0+P3SEC4xzcMmjwN8Dn8SGVTRUlEHNtwW3GsvH4SpABL0Mxr3GeaXvYFy7bMuBuoraattFxExkXQF+YPZmfeoW+ny9qF3+fWQZWMtD6F6iuI+5rX34be7VaZtbjreUZvD7WVxgA/HWWchSyuRmOlQysxJOOOVsGgLkctvW7AHQrxHpNIH80UT7LYMW/AO0XGc6rfnmKYjSDFkLI2QCChJBFhJDF6s8nANgE5pogAVgM4E5K6SIAUQD/YDlmE4AZlNIzAfwMwG/sLkQpvZtSuoRSuqS5ubnQtAXGITgZcMsgnUkXJRAr2dJqGRkJwGp9lIJdJ3bBS7zoqO8wbQ9LYaSyqbIyqrllMLN25uiQgVHI9YVZBBBf1Lyyvt8XYu4aKxnY9S8AgJbT2avVdRNpYYswzTBCsJZn8Eq6ZRCsN2sGPLSUw+gmkgLu3ESAuRw2YOMm8jsLyE7RRJQ6aAbqXDMp/fu1u/8qoBjL4FMAfgKgDcDtAP5V/fkmgO/kOQ8ADgA4QCl9S/38JBg5aKCUDlJKh9X3zwOQCSFNEDjpUCMzU51rBqlsCqsWr4LP4zMdZxWIuWXgdrFNGETLSmgGu/p2YVbdrJwQ1RrVBVGOiMzPnV47HScSJ5DJjnB0t7GUNHepnNjDXr/wFHDWF9h7LiDbicfRY8CSL5tDPfMJyIffZa9/ek9ueQajmyhYryadGaKYvIb6QybLIORABvncRLJzngFgbrGpXZOTgTXpTCWjTJoRnXV/aBLTW6LHgAGWc4P2T4xIeYpiNIMHADxACPlTSul/ubk4pfQIIWQ/IWQepXQXgIsBvGc8hhDSAuAopZQSQs4BI6hRCpcQGE18OPAhAGDtlrUIy2Ek0gl0tneiu78b92y7B4B9SQduGbgteW1yE2VLJwNeDuNw9DCCUhBde7pM8wtJ7OkwqkRRj/qSxoimo/ASL6bVTEOGsm5wk4KTCp9YKfAnea8PkNRnyEgri3ppXwa0ng5s+RUjAmpjGQB6v4JgPfCqodyC15dLBkNHgL69wKS5wGmfARb+qXm/R9YL3QUbgP59Bs1AMoeimvIMbCyDRD+w/y0WsWP35E28wO6X9P1OmsHQEeDJ64Gr72eWgTEZj4NHE3FXldVy8HjVxLOjQLgJGNgHJAf1khVVhJuksxmEkG9atg0A2Egp3ZLnvK8BeJgQ4gOwB8D1hJCbAIBSeheAqwF8lRCiAIgDWEkppS7mJTAB0LWnC890P6N95k/Cz3U/h0WTFwEAPjfvc/jued/NOZdbBG41A6NrqFTLgEc78WvFlThWr18NQK8pxC2DcnSDaDqKkBxCU5AZzb3x3pElA6ObiC+CBzawmj9AbtKZHRlwnPl5nQxevV113VjI4MXvMGE3WG8fleSVdY0g2GjudMZLWAPMtWIUceWQmpOQZVFJAOuroCRYxI7dohvvBxJ9+n6naKKXfwTse4MdR0juQg/o0USckKwCMsAsmcFDwDH1ubl/X+4xVYAbMlii/jyrfu4E8A6AmwghT1BKf2x3kkoUSyyb7zLsXwtgrYt5CExArNm0xvbJ/o7Nd+DvPvZ3ANhCawdNQC5DMyhVQC4m2imsxpqX4yYaTg+jRq7RyGDEdQMjGfBFTonrrRytSWdOZGCNEtpwL3t9+25gxf/L3X/gbRa1ZI2i8Rpch8F6dYE3Zgar+8MWfZEvvkoc+PGs3LkYI3bs5rrhXj3Pgc/h8LvQIpeM9xSqm9cAACAASURBVGQHOcB0k4Ta68KOMMKTgf1vM4Jq7ABOdDOytOoLFYabaKJJABZTSr9FKf0W2ALfDEPoqIBAqcgXNcRJIGYtI6BCE5BdWgaVIINiop0qQQbRdBRhOayTQWKEyUBzE/nNYisXgK3Nbew0A0CPEuKLshRkC+Kpl5v3exyiiDiM2cLBBjYmzxI2WgY1FrcPX3zTCTaWKSLKMpY2F96gJ8D2r1Bj/jkZtJ2jN/3h16ltAxrbc++f33e8T52PnWUwhbmGAFZpFQAGDuQeV2G4IYPpMOcIpMGigOIAylffBE5qOEUNTQ5N1hZqp1j9UgVko2uoVDIoJtqJC+OVIAPuGhrxxDO+0Eo+MxlM4WRgqVrqZBnwqKJMSm/4Ymw2w/dzMdgpioYvxMTLjgfU/gBeNVFMvaZRPAb0xTcdY2NxeOTcsaxzUdT9nFD4GIGIvrgDuv7B52VEDhnYWAZ8zl4fMPti9r7/o9zjKgw3ZPAIgDcJId8nhHwfwOsAHlXzBt7Lf6qAQH7YlZUAgC8v/LIW9cMtA2t5ilcPvArAvZvIpBm4IAPj+LF0DLKlc5Y12qlSlkGNXIPf7fsdCAhu33h7TmmOqkArh3CYfTZGE4HoTe55D+RiNIPoMXPDF1CzgBw9BtRNBybNcY6i4d+5HNKtgOSQ4Sle3caFYQ7NxaWON6hG7HzmbvuxeATUlNPZff/h12rvZuhkwMNlORZcoYaN2oSr8ughTga2msEU/R79amLfCOgGRWsGlNIfEkJ+C+ACsF5yN1FKeTmKL1RjcgInD7h/nTepqfXXYiA5gGVty/DC3hcAMMvAKtgejh7Gg+89CKDMaKIiBWTr+AOpAUhEgpd4kaEZ22gnTgbG+kJuEU1HQSnFD974Aajqn+alOQBUr78BL4fACcDkJqLA73/CRFVC2FN5Ic0A0KOKAHbu0e1mMlj5MPDLFczacIqi4QuxL6Qv/KmoOfYfYGRmFIYlg2UAAKddBRzcCHR8Elj4Gee5brwfeHYVAALsUgmYWyc8xLamFRg+DJx1HdC/374/ghvLIB1lmdoeaWyRgYrNAA7x8wgh0ymlIyN1C0x4dLZ3aova83uex9+/+vdIZVMmy8BOsOUWQTnRRMUmndmNr1AFHuLB5e2X47aP35ZzjhZaWqaAfDh6uKBYXTFYxdMP1rHXey8xH2cUXT1SYc3ADpI/N5ooMQA0znI+hy/EclAng3SMjWuaOzXPceWj6rHqeP372NN3ME/Ir/V6+95gb38yx3zcsGo9/efngUmzAXmazb0W0Ays3/vG+9jr6z8FLvm+8xwrADfNbb4G4CiAlwA8B6BLfRUQqDh86j97OpM2aQb5+hSks2m4iUrm1oCHeIomEqfxszSLqTVTbfd5PV4EpWDZbiKnaKpieze4wqqtwLwV+me++H72V8DCq+3LRHi8eqG6fJaBFZJNiYjEAGux6QRuAchh3QpIDTPXyqqtwII/0V1XxjlqArJqGfTvA+pPyT8/rTSGej3uovrKS2y7lnymuoDO/xq7vq2biJPBCfWzxTJYtRU49Urz3MPNQOuZ+edYAbjRDFYBmEcpPY1Segal9HRK6RnVmpjAyQ1OBqlMSlsE40q8YJ8CN64iTjK1vtqiLYN84zuRAcBE5FLJIEuziKVjmhDtZk4lI9IC8DwGj6TH1rcsVFtIUl0A5qKrR2L+c7dkIAdyM3iLJQOrm8gjqXNXq+tb58gXY+6W6t+vV051grWUBv8bm7pIFZgVgxjuY8SWiuVmF/P5AM6aQaSFZSEb5x6ozy2uVwW4IYP9YElmAgJVh6QuJqlsSlu040ocX1v0NY0oOIwCrhtXEb9unb+uaM3ATujm5TLykUFYDpdMBnElDgqKZdOWldW7wTUS/QAIcMZKYMZStk3y5wrAXHQlnuI0Ayus9YKyGdYaMx8ZaAJy0F4zcJqj0TKgVLUMCpABv16HGtnDG/J4pNxxvDIbKx13aKNpEZDtCMN6TUKYgF+Bkin54EYz2APgZUJIFwyhpJTS6udJC5x04AtsOps21RC6ePrF+HDgQ1N5ivOnno+nPnhKO75YJDIJEBCE5bApmoiXlzgSPYKWcItJEO5s74SSVfDd11kmtOyRcXnH5fivD/4L08I2PmIVYTlcsoDMSWRJ6xIsO2UZfvjmDxFNR23FarfId69Y+TDwL3OY++fUK4CPXmcLt1UA5jBqBl5zhFVeSAGzgMxj7PNaBlwzCOvvU1Fdq3CaI38S/91twOSFjHSKIYOVD7PyGGvOZETi9bFF2jpOzy4WvZSO2YvDchECsvWaWx4BfvNV4JeXAp//z6oVq3NjGewD0wt8ACKGHwGBisPoJjK6cGJKDAubWNbr5+Z9DuuuXocFjQu0/W4sg1QmBb/Xj4A3oJFBoWY6ADC/cT4A5p4hIGgMNIKA5HXXlGMZcBIJS2F0tnfiywu/DAB47qrnyiaCQveKUCPzbxtrEzmhVM3A2oqSF6ArSjMI6gs81wzyjqUuvse7gZf/ib2vK6AZcNTPYO6meJ/z91DTrOYE0CLcRMRcQ8lxXJWsDm2uapMbN6GlPwAAQkiYUlpeDz8BgQIwCshGyyCWjmEoxVogcitAoYq2302uQUJJwC/54ff6EVXYn3Qx5SV434LL2y/HPdvuwRuH3kBzqBlynqfhsBzGweGDRc/NCN7ljNc4MuYtWF1mblDMvSLYCMT6DElneRYvj1RcnoEV1mgiN2TgC+mlJ1IxIJKHDKxRQe89zd7+11eABUX0SCEEmLIQ2Lfe2fKpmcLqCgEObiKVDGJ9au9om7pL+eZcxSY3bqKJzieEvAe1bSUh5ExCyM8rOhsBARXcTWQMLQWYZcDJgFsBxsxjN1nIyUwSfq8ffsmvXauY8hK7+nYh4A1g+czlAIDtx7djWo2ziwgoT0DmRMVJoBIZzUBx92qyDIgn/yLv8RbOQLaDFNSLxwFFkgF3ExmSzjLJ/CGtTlFBN75W/Fx5+Q1Hy2AytDpFdpYB35YcsE84s2LVVnPF1io2uXHjJvopWG+D4wBAKX0XrC6RgEDFwUXhVCalLdpAZS0DjQy8fo1wiikvsevELsxpmIOO+g5tnvnEYwAIyaHSySBlJoNKZDQDxd0rgg1A7ARz43j9+Z9kCSeDjLs8A+5H566oYsiAk40cMi+q+dxEWlSQulhn0+z45rnFz5UX5nMkA2O/ZbukM3/+/VZEWvQsZOKpapMbN2QASul+y6YR7rAhcLKAu1zS2TTiShyNARYqGFNiGEwxgdGtZWAtY7F3YK9GBlwzsIsW4hE7/Py3j7yN7v5u/OjtH2nZwK/sfyVvaYgauQbD6WFXeRAcVssgX0az9R7zzSnfvWrgloGSMreStINHKjHPgGcFqxFFnAz8tc7n8MXYFzbPq9C40WPAoj/TrQmaBYZduFu4ZRDtMZe54ChIBgZrodgqpNFjQE0Lc1FVscmNq9BSQshSAJQQ4iOE/B+oLiMBgUrDKCAnM0mdDAyWAbcCjBFETpaBnVi6s28nEumESUDubO/E6qWr4VFdCZMCk7B66WoA0M4HGCk9tusxrWLqcHo4V3w1ICyHoWQV1/WTAL0PQiHLoChB2AB+rzxDut5fj9VLV5tF6WAjKyoXP1HYrVFy0pkl9t+VmyhobnFZKIpp5cPAlT8DFlzJPtOMO1G2+VR9rnbnGUtm25Wj8HjMcy8GKx8GOi4CYsdZdJEx2qiCcEMGNwH4awDTwNpZnqV+FhCoOKyhpQ0BViI4psS0J2JuBfAFGXCOJrITS7M0i6Pxo/B5fabQ0hWzVsCj/mvc+ke3orO90/Z8K7j4aodyXDv8HK4VOGkG+QRhJ3S2d2JZG/P2fvPsb+ZGJ4XU5K2hI+ZF1w4lJ52pi6JGBoNgRfDyWQZGN5FhXsW4p26dDGx7XP+84V7WM+HWyc7n8PP+yfDkb3eeyTJw6KtsLN9dLOqnq7kG7h8mikXRZEAp7aWUfoFSOoVSOplSeh2lVLSnFKgKrKGltpZBJtcycMozcBJL09k0AlLAlHQ2kBzQdAg+VrElH5yO0/ogp0ojA9kja99JSLavdVSUIGyD/mQ/AIfKrTyTd+hwYTeRKenMZW0iQI8oSgwwIvDkWZ6MArKJDIrIb1i11bmkRsHzrtHHsDsv3ARWxxPOT/6cDIq1DABGBjSrV1mtAgrSNyHkZzC18TGDUvr1is5IQADmDOSEkkCDX7cM8rqJHCyDlnCL5uIxgmsGClWgZBVIHsnUK4CP5XS+3Th2CEuqZaC4J4Ph9LBmWQDOloHTHAuVqxhIMreMLRlwy2DwcP7CcYClUJ3LaCJAr09UqBQFoC/IvpDZYilm3EiLc0mNgudFmGvJ6TyvzMpJxHrt3USArhW4JQOAZUwX+j2UiGIsgw0ANub5yQtCSD0h5ElCyE5CyA5CyPmW/YQQcgchZDchZCshZLH72xCYaPAQDySPxEo3g6LOXwcP8SCW1gVkLZrI4CZysgxWLV6l6QAcBATzGuZpkUqcSIxkwMdy6rdgRL7SEGE15ryUPsi8sQ0HtwysAnJRgrANuGWQsDalB3TLIB3Nn3AGlJF0xjUDQzRRITLQks5CzILQWlEWmfnsVK6iEudxV5FTtFAplgFPjBuwxvBUDgV/Y5TSB4q5ECHkZ5TSr9nsWgPgBUrp1YQQHwDrN7QCwBz151wAd6qvAic5fB6f9mQekAIISSHElbgeWqpqBoUsg649Xfi3jf+GrKEJSWu4FdF0FLPqZmlkkMgkEJJDppaSfKzO9k4klARWv7FaO39Z2zL8/sDv7Us5WLD56GYAwPUvXp+3jIS1PMSytmV46aOXkMwksfzJ5dp5ISk3VJVf75bXb0Eqm0Kdrw7fPvfbBbOU87qJuGUAFM6WLTnpzCaaqBAZ8GO5a0nyA6l08e4pp3IVlTgvoGodyWH7Gg2laAa105gbrop9Ddz2M8iHC6wbCCG1MPRIppSmYG6dCQBXAniQspi7N1VLopVSWtgmF5jQ8Hl9GFTr1HAyiKaj2hOxUTMISkHElXhOtI61GQ3Hlxd+GT/f8nMEpAAC6j8nvx5vNu/3+jUyAID2etbTdu0n1+LCUy4s+j669nTh3u16k3SnpjR2jXse2/WY7XlOSWyd7Z345fZf4v2+9/HZeZ8tSATGqrD2moGxt28BMjDlGZQZTVSorPQHL7HXbY8DCy7XrZZiNINqg4eqvrEWuPynuftLsQwkHxCZOm7IwA7tAHoA3EcIORPMrbTKUs5iGlhFVI4D6jZBBic5fB4fhtKqZeANICSH0Bvv1Z7w+cKvZBWdDCyWgVMU0N1b70Yyk4TP69OEWe4m6Y33wu/1oyXcYnLr7DqxCwAwr3Geq/tYs2lNzkJr15TGTcRSviQ2TmDFaBzcKgAcyMArM794crCIaCIvc/W4bW6TE000AAQW2h9rbf6y4xkW0aPNodpLWh7YNabZeF9u6YhSNAOAEWQVycBV0lkJkAAsBnAnpXQRgCiAf7AcY5fSmCNYE0JuIIRsIIRs6Okpoo6IwLiH7JVNlkFQCuJojPloA96AyTLgPnVr0plTJE1PvAfJTBIBb0Dzs/PFsDfei6ZgEyJyBIPpQe2cnSd2ot5fjykhd9mfxUb5uIlY4klsduBkcGj4UMFrFSQDQHcVFUw6M2gGpMxoIic3EY/o4S4WHtFT18Y+e0eRDLS5GdxAdlFKfO6uyWA6679QJVSSDOwW9QMADlBK31I/PwlGDtZjjDZhG1hrTRMopXdTSpdQSpc0NzdbdwtMQMgeWVvY/F4/QnIIx2LsCWtScJKmFaSzaS1xyiogO0XS1PvrkaEZLZoIMJPBpOAkRHwRk5to14ldmNcwD6RQcTELiir7kOc4u/PCvrBtmGomm9FIopjCeDySCMjTB9rYKCYfSs5ANkQTZbPMCnEiAx7Rk0maI3q4wD6aloE2t1T+KCVOfqWQweBBIKMUPrYEVJIMcjJbKKVHwDKXuV19MYD3LIc9A+CLalTReQAGhF4gADDNgC/GQSmIkBTSnmQbA42mpLOguqAYNYOuPV2I8faGFiydypq12JHB8cRxTAroZMBLPGw/vh3be7fnLfFgh2KjfFYtXqWF1DqBnxeWwrZhqpwIauQa9MR7Chbu49+nh3icXVTcMijkJiJevSNaKdFE6QTrLwCaX0C2i+jhC+xoawbFRBvJBqvGDeqnM4H+l8vtS2GUiWLyDJ5F/jyDK9TX+x0O+RqAh9VIoj0ArieE3KSecxeA5wFcBmA3gBiA613MX2ACw04z4JgUmASFKsjSLNKZNGSvDNkja64jJ+G4zl+HgeQAmoJNAMBKWEsWMogfx1nNZyFLs+iJ9ZiuE1WituJvPvDjfvDGDxBX4o7RRJ3tnXh81+PYdGwTALVxT+v5eGr3U9pnft76Q+ttLQNOnnMb5mLTsU04EjuCUyLOYiwng+Zgs3MviKALNxF3NblKOjMIyMWUorCL6PnFJeq4o2gZAMVFG5UiIAN6eOnBTawUhpsoqCJQzDf3k3IGoJRuAbDEsvkuw34KUdZCwAbGWv1+ya+5ggCgUV2gUpkUlKyCgBSAz+vTFjQnMTYkhZBQEpr2YLIMlCTS2TT6En1oCjYhoSRs/fJ24m8hdLZ3Yt/QPvx8y8/x3FXPOfYh4KJwvb8e665eh6PRo3hq91O45fxbcM3ca0z3kc8ymN84H5uObcKh4UN5yYC7iaaEphS2DIqpTcRdTW4WZa8PACmeDGyvoVoGo6kZFItSyGAE+hoUk2fwSkVGEhBwCWNv46A3qLmCAGYZAMwtlM6mWbkGj0/TDPKJts2hZhyN5pJBIpNAX6IPFBRNwSaTP93uOm7Bex4cjh7GjNoZOfvTmTS6B7rhIR4MpYZAKdWe9CM+c8B6ja8G0VQUlFKThsGP5xFPhUTk/kQ/At4AIv4IBhIO98stg4JJZ1JpZEAIWxjT8dLJYKy4iYpBKdFEq7YCL3wb+MOvwTKng8CpnwaW/1PFpuWmuc0cNZP4PULIHv5TsZkICFhg7Bzml/xmN1FQJYMMIwPJI0H26m6ifKJtvb9eE6KN0USpTErLPuaagROKFXuNaA23AnAWdvcM7IGSVXBq46nI0AziSlx70q+VzUXbwnIYCs2tgsozpmfXz4aHeHAoWoAMkv2o89exyq3ZQtFERSSdlUIG/NpKsrjy1U7nlzLuaEAqQTOItACBekacbkpouIAbAfk+sOxgBcBFAB4E8FDFZiIgYAGvXAroSWcAE5O5laBkWU0h2cM0A24Z5BNtjWRgyjPIJLSEMx5NBECzHKzXcQtuGTg9rfN2mkumMK/qYGpQW9ytxKT1NLCUt+CWQWOgEZNDkwtaBgPJAdT761lPB8doIjXxrJiks1I0A4AtjEoZlgG3WootRzGaKDWaqNQSGkXCDRkEKaX/A4BQSj+ilK4G8MmKzmYC4a5XurG+u9e0bX13L+56pXuUZjT+YPSrGwXkiC9i6oSmuYkMmgGv1c/RGm7VavXX+eu0qqTGDOQtR7fg2699GwDwrZe/hR3HWbuOryz8Crxq3LzxOm4xOTQZXuK1XaC79nThn9/6ZwDA092sN+9Qakhb3HnVUw6nYnX8+DcOvYHj8eN4pvuZvE1u+pP9GhkU1Aw2PZg/isXj1RPH3D6hywEWTcTj6N2WatYsA5ckNBrgEVe8pEaxWPkwE41bTq9KXwM3ZJAghHgAfEAIuZkQchWAAgXAT16c0VaHmx/ZjP/ZcRTxVAbru3tx8yObcUabyyeekxicDDzEA9kja5ZBra9WcyEZ3UQ+j8/kNrl05qUAgL8686+w7up12gJe76/XjjFqBus+WqfpBMfix/DozkcBAKc1nQYCgr88/S9N13ELySOhJdyS47rhkU9cEOYRPi/ufdFRM3AqY82P//E7P9aspHxNbribyO/1F44m6vsofyMY40Ls2k0UYESy6wX2+a07XZ4/jjSDD1UZ9t1HRnceFrj5jf0NWJG5rwP4IZhV8OfVmNREwNKOJqy9dhG+eO/bmDEphL5YGmuvXYSlHU2jPbVxA/707/f6QQhBUDWrI76I5kJKZVOam8jn9Zni6vmTbsASBWMlAx7bb+ylzK8NAHv690ChSsE+x8Vgas3UHMvAKfLp8V2P488W/BkAGwFZtQys0U5DqSEQEMcmN1Yi45ZBQArYZyC7iWIxEoBbMji2AzhmSEFyKuXgBO840Ays5Sr+8Gv2U8GIoHLgprnNO5TSYQCDAL5OKf0MpfTN6k1t/GNpRxPCfi+6e6K4atE0QQQuwcmA6wPcMqiRa0zNbzQB2SObLANegC1oEerq/Lp1ZtUD7LCzj/nyK0EGreHWHAHZKTKpL9mHodSQyXrh4JqBNaluKDWk9WW2wjpOlmYxmBpEnb8OPq8PCSWR26NZK7Ggjp+vEQwpwzKYtkS3QAqNYwc+v7GsGTiV0ij2HqsMN9FESwgh2wBsBbCNEPIuIeTs6k1t/GN9dy+GEuxp89G39+VoCAL5wRd8vhByMjBaBulsWheQvbLJMuBkkM8y4Ps8ef4VeIE6LgCXg2k109ATM2cGO0Um1fpqMZgatI1q0gRkG8vAKYvZOs5QaghZmmWWgTcACmrqDQHAUGIhXTiKxWQZuPTdByKszzLAFnS30TLjQTNwKqVRwYigcuBGM/glgL+ilM6klM4ESxS7ryqzmgDgGoHsVRurh324+ZHNWN/di/XdvfjSfW8LgbkAOBnwBXvjUdZL6fkPn8ff/f7vALDY/HSWZSBbNQNehdRqGRjJgI9R46vJIYSANwACgg8HPgSgh4aWg55YDygozv7V2Zqwu2rxKlNOBcd5redhKDVkSwaOAnJ6CNPC0xwjqXhpjdMfOB3LHmO9j+/Zdg+6+9nfXSKT0I4544Ez2BwHdhUXxWJsU+naXaPmSkhB4Cv/4z5axjtONIMqRwSVAzdkMEQpfZV/oJS+BmAoz/EnNbYeGMDaaxdB8rA/8v19cfyf5XPx7LuHcPMjm3HB7EkaOQAQArMN+NN/wBtA154u3LPtHm0fb0Dz+qHXtXaVxmgioDg3EV80GwONWsQQAdGihnhBu+Zgs2PWcLHo2tOFZ7qfAQBQUFN/ghUzV5jGlomMqTVTHcmAWwZ2AvKsullYvXS11iq0KdikRVatXr9aK23NS4H3J/ux7qN12hz5Mdoc0YOuBRcXjmIpRzPoU1OWmuYAU890Hy3DS2WMZc0AqHpEUDlw8829TQj5DwCPgtUq+hyAl3mbSkrppirMb9zipgs7ALAv6sK5TXjl/V489s5+7O+La0LyaVPrcMODG/GxmY1490C/EJgt4BFDASlg2xMAgLa4WjOQAWcysLMM/F4/0jQND/HgzWvf1M75+Zafoy/ZVxG9YM2mNTlJYlzY/dTMT8Hv9eOdL7wDQgg++fgntdDSOpuY+6AUBAGxdRPNqZ+DzvZONAQacONLN+L2T9yORZMXYfmTyx3DR/n3ds/We4oWn3NQimZgFVWPbGX9CdyKqtwVOJY1gzEON2Rwlvr6fcv2pWBrnsg5sEFKyeK0qXXYfWwY7x4YwNc/OVtb8Jd2NKE54sfvdh0zbRdg4K6TgDfgKLLyMExrBjJQ2E0kEUnzr3NdYkbtDNPx/Km8EmSQr0TGweGDaA23aqUlIr4IBlODGEoPoS3SlnMOIQRhOZwjIBs1Bq6x8GOKKaHRE7fvFVJU+Y1SNINVW4EXvwvseFot/VximQWt09kY1gzGONxEE12U50cQgQ2yWQolS3F0MIHe4RRCPi9+9dY+k2to/4kY/JLHtF2AQXtql/x5RVYAORnIgEFAtvjPI74ICIhWrZSPAQDzG+bnHAsAU8Plk0G+EhmHhg+ZBGpePtvJTQQwV5HRMsjSLKLpqHY8J7WYEss7vhG8zEexczehlDwDLqpmlfJE1fGUZzBG4SaaaAoh5F5CyG/VzwsIIV+p3tTGP9JZ5pN9ftsRXH7mVMRSGdz+2TNx8yObcc+r3bj5kc2YWh9EOpPFz1YuMmkIArpmEPQGbctLAMA5LecAQE4GMmBwE1nS/r0eL2r9taZwTf5+buNc07GVtAzylcg4NHzINEYxZGDtgxxLx5ClWd0ykM2WgZNQDejf9dVzrs45pujyG6UmnVVCVOVuorGuGYxhuBGQ7wfwIgD+F/s+WCKagANSCiODzyyehvPb2RPX9MYQ1l67CK/vPo611y5CJkuRpcAZp9Rh7bWLsPWAc6XMkw1Gy4CXl2gNt4KAaK0neXlmnoFcjGXQtacLw6lhnEicwPInl+PWN2/FhiMbAAAPvfeQlqnbtacLrx18DQDw71v+3XVTGyv4PXBrZnJoMlYvXY2LTrkoR5eI+CLojfcinU3bkkHXni7sG9qHlz56SYtKsmYra24iJYauPV1Ys2mN6fvxEPbv3xpuxZcWfgkAcHbL2bhs1mUAzEJ6UVnXpeYZVEJUTanuspSIaSkVbmi0iVL6OCHk2wBAKVUIIZkqzWtCIJ1hCTxzp0TQ1sCeTg/0xbFsbrOmDwwm0uqrgqUdTUI3MEATkNXFvLO9U1uUYukYzn3kXO3JOK9lYNAAeLRMhrI/3cPRw3hs12Pa/hOJE1i9fjU2H9uMp3c/rYmpfDufR6nobO9ES7gFX3rhS/j++d/HsrZlWlin0RVV66vViulx8rDeg7XcxA1n3AAAOZbBpiOb8PKBl03CcMAbMC3y23u34+6tdyOpJLXy2u9c905RSXkayokmKhc7nmWv255kiVwCruHGMogSQiZB7XrGW1RWZVYTBOkMswxkrwdtjewf80CfXpwqm6UYTrIkn8F4/vaEJyM0AdmmqQq3Grg/nAvIGZpBJssWertyFE6lH4xIZBJ44v0nHKNqysXcBuaK4slsPCPZahnwTGKrZWB3D4lMAg/veNh0PM+TeO3QawXvxdj60ynruSBMbqIREnJvncyij3az8wy8iQAAIABJREFU0Fi8/wL7fKsom+YWbsjgm2D9ijsIIa+DlbD+WlVmNUHA3USyl2BKxA/JQ3CwX4/+GEoq4Nn/ggxyoeUZ2JCB5JHgIR6TZcDJgz8xx9NxBLwBzR0CFN+UhsfgW1FKUxsrIr4IptVMw64+Rga8VpFVQLZ7n28OPPeCH08IQUgO2XZrs16HW1/JTNIx67kgRsMyGOMlHsYT3JBBB4AVYKGkLwL4AO7cTCcdUqpl4JM8kLwetNQFTJaBkQAGE0rO+Sc7rOUorJA9smYZ8DwDQC8wl8gkcsJKi21KYySQUs4vhPmN8zXL4FD0EHwenymSJx8ZOM2Bh8waG+GEpFDOd2B3HWNPh3yidV6UU7W0VIzxEg/jCW7I4HuU0kEADQAuAXA3WLObvCCE7CWEbCOEbCGEbLDZ/wlCyIC6fwsh5BYXcxrT4G4in1qSoq0haCaDhIEMRtAycOq1MNZKZHBRd82mNbY1+X0eH+JqTXiegQxA0w3iSjzHqnCKSjIi4A3gmrnXOEb+VAKEEuwd3IvTHzgd922/D6lsCpf+16XaPUZkAxnI5oXZ6R54+e3rX7xeu05IDmFO/ZyC98K/p1QmVToZlFOorhyM4RIP4wluyICLxZ0A7qKUPg2g2Pz8iyilZ1FKlzjsf1Xdfxal9B9dzGlMQ3cTcTII4UCfwU1ksAaMxFBt8F4L1lIYY6lERteeLvzyD7/UPtvV5Je9su4m8soaGfAicHElnvNUbI1Kag234nPzPmf6vHrpanz3vO/mHFdqUxu7e3vlYG5rceM95rMM+D3U+cy/F64xHI0d1a4TkkJoDDRi9dLVGiHY3YvWB1pJYDg9XAE30Qgmf43hEg/jCW7o+6BajuISAD8ihPjhjkxOOqQNbiIAmFYfxLGhJJJKBn7Ja3YTxUfOTbS0owlrP78IX77/HfzJWdOw7r2jphIZf/HABixfMAW//6B31EpkrNm0JqfZirUsgs/r0wVkIundz7K6ZWDnIjFGJeVDsce5hTXE0wh+jz+58CfaNruFubO9E2s2rcFAyj6Gg1+nNdyKmBJDZ3snnul+BsOpYTzcmbtYciLlAnJbTW7Wc0GMhptIoGJws5h/FkwruJRS2g+gEcDfFnEeBbCOELKREHKDwzHnqyWxf0sIOc3uAELIDYSQDYSQDT099inzYw0phT2pyQY3EaXA4X4W2TE4SpYBAMxtiSCRzuI/39mP686dbiqRkclS/GbLIdP2kUa+0g0cssdsGRi7nwH2bqKxgEIi9JHoEY0AZI/sqJkUc52QHNKSzvK5fzzEA5/HN/4EZIGKwU05ihil9ClK6Qfq58OU0nVFnHoBpXQxmPj814SQZZb9mwDMoJSeCeBnAH7jMP7dlNIllNIlzc3NxU57VKELyKzeTFuDObyUWwZB2YuhESaD325jlSvPmFZnKoXx2ge9SCpZzJwUGtUSGflKN3D4PD5bAZk/dSeUXAF5LKCQCN0SbtEW44gvotUrKuU6ISmkfUdDqaGcXspG+CW/ZhnkO84RRtFdkMG4Q9XdPJTSQ+rrMQC/BnCOZf+g2kENlNLnAciEkAmReZVWuIDMzGc98Yz9c3JrYGp9YETdROu7e/GjF1gkS8fkGqy9dpFeIuNRVny2qcavbR8NQshXuoHD5/VpzVicBOSxSAb5RGx+j5wMrAlnbq8TlIIaGRR64vd7/RhIDjhmPRfEaGkGAhVBVcmAEBImhET4ewDLAWy3HNNC1EcfQsg56pyOV3Ne+eAUaWONqCnmOC3pTCK465Vu7D0ehYcAB/uZZbDr8BBkL0FDyIcdhwerFsljnevWAwM4dxardT+USGv9ml/ffRzf7TxV3a5o20ejRIad0GsVPWVDueLxZBkY7w0wl4Xg9/jfH/03AGDv4F7bSKpir8PdRJTSglFCfq8fvXH2d5KPhBwhNINxjWr/xqYA+LW61ksAHqGUvkAIuQkAKKV3AbgawFcJIQqAOICVNKcR68iBR9qsvuI0XHHmVC2iZu21i2yPu/XK03DJghZs+OhEznEpQwYyP74x5MOBvjjWd/fif3YdQyQgoTYoozeaxM2PbMbtnz0TC6fV4f2jQ7bjlnNPP7jiNHSe3ooz2urwby+9D0AXrnkpjI0fsdaD3GoZzRIZhQRcvvgD0NpeAmPfMgDy3xsvN8FhbIJjPafQd8TdRMlMEulsOu8iH/AGNDIQlsHJh6qSAaV0D4AzbbbfZXi/FsDaas7DDZZ2NOHbK+bj649uxu/fP4b/3dljG1GztKMJd6xchD+79y1cMLsJ7x0ezDkupeh5Bvwp+4v3vo039xzHK+/34Iy2OgzFFdQGJGSzwNprWYSP5CHwSd6KRfIs7WjC//vM6bjhoY14ZsshbNzXhwWttdi8vz9HuO6LqrWSxkFGtLG6Ji9UB1gE5AI5BWMRTuUmimowY0FIDkHJKuhL9AHIzVkwwuf1aV3QxlWegUBFIEJDbVAXZIvMkxsP5o2oWTC1FhTAa7t7bY9LWUJLl3Y0YfbkGhweSOC6c6dD9nhQG2SWwaDqrmmpDWA4mcE1Z7dV9Il8ZhNrk/jSjqO47tzpiKbsayL1xdhCGk1loGTsSzKMFRjbUBotg3Q2jSzNsgxkeWxaBvlQTCRVseCVS4/GWCJWvkU+IAW0ZkHjJgNZoGIQZGCDtz5kksXF8yfnjaj5353sH2x+S8T2uLQl6Wx9dy/2HmehkA+9+REOD8RRG5BRG5AxGE9j/e5e7D/B9IRH36lsJM/63exaU2r9+NVb+/DRcS5im4Xr/phODkNjvESGkQxMlkE2pXU5G4+WQTGRVMWCVy4thgyM32fZZOBQzkNg7EL8xixY392LR97aDwD4+Jwmx4ia9d29+Mdn3wMAnKL2KLAex0tY+ySPpj188byZAIDvX34a9p2IIalkURuUkKXAXz+yCbKXhRHe8PH2ikXyrO/uxU/W6RrBbVctRFLJIiR7MJxUTBbAiZie6FXp3IdixfliYXQT8RLWAMtA5m6WsaoZ5EMxkVTFQrMMokVYBoYxSxOQJf3VIRxWYOxCkIEFWw8M4ILZrGBYNJVxjKjZemAANyxrB8BcLXbH6QIywdYDA1h77SJ8Yh7LkZgc8SMoexFPKagNsEXtbz81DwnVmqjxSxWL5Nl6YAB/fj6rUR9PZ5BUx2iKsGQmXkYbAPqNZFDhcFenMhillrswuYm8etXSVCZl28tgvKCYSKpi4cYyMCa31cil5BmoloFwEY1LiN+aBTdd2IEb9zGxLZYyR9pYj3tiA7MguDvFepxRQL7pwg4AwD7VPbO/L4Z4OoPzO5oQUcnAJ+lm9oG+OL50wayK6AY3XdiBh97Yq31e9x5bGC45tQW/fP1DDMYV1IfYwsoFZKDylgEnzK/+ahPaGoI41B/Hv39hccn3aBKQiSHPIJvSCtiNRzIAKlcKg9+/GzLIl/WcF0bLQGDcQVgGNugZSgIAosn8jdy4f91p0UxnspC9xJRB2lIXACHAriPDyFKoAjL753nv0CAAwOshpuqmlQDXBrwegld2sXIeC6bW5sy/L5ZCJMDmU42s6KUdTVg0vR5/ODSITy1sKYvs+OIveSQQQkz9DMazm6iS0CyDItxEfrWpfL6s57zwqMuJCCsdlxBkYIOeYUYG3DJwAo+8cQrDTClZTTzm8EketNQGsOMwW/i5gAxA23ZGW52WmFYpDMbT8EsezJlcg+Gkgohf0jKijWTQH0tjxqSQek7lBeT13b14aw/LZXju3cNlaSJcMOYkYMxA1vofj8HaRCMJYzSR5JHyCup8X0l6ASAsg3EOQQYWUErRO6SHV+ZDn2oZDCUVZLO5eXLpTFYLKzWirSGIHUdUMgjKqFVDWXccGUTEL2FBa62p1HU+GEVZ/t4oyvL3g4k0JA9Bcw17+pvWENRI6IkNBwz3lMKMRhaGWmk3EdcILl3IGo9ctWhaWSI5DyWV1MXnxb0vAmDN67/1yrcACMuA339PrAe1vtq8T/ycTEuKJAIEGYxzCDKwIJrKIJ5mJBBL5n8y5mIrpcCwjRWRytAcywBgBeu4i4lZBpJ6vTSmNQTR1hBCXyxtEnadYBRlz2irw40PbcSND23EGW11JoF2MK6gLihjo6qHtDWEsPvYEACgWRWSKaXaHAipfOIZF9Hrgqp7x0vKEsmNloE1a5cnWb195O3yJj3Owd1EClUKLvLcMiiZDISAPK4hyMACrhcAxVgGxsib3IUzpWS1LmdGTKvXn1Zrg5ImIAPMauDum4NF6AZclL35kc34zeaDUDJZZLIUb3Qf18pZLO1owmAijSl1AfzNJXPU+0zg+8/8AQCLbAKAWCqDVCaLxrAPEb9U8VacN13YgaUdTYiqJHewL46lHU2auO4WRsvAqdH9ozseLX3CEwBGyyhf9jFg1gxKAtcKhGYwLiHIwAJOBj7JU1Az6I+l4VGtbjv/ej43EUdtQIZP8iAo88qmoZzqpoWwtKMJy+Y04/ENBxBPZxFLZfCz/91tyooejKdRG5Dx2SWnwEuAdw8M4LpzZzALQF30Obk1hJjrqlolKbjFU65IbrQMnLJze+Ljo/dFtWAs4FeoLDWPICqfDIRlMB4hyMACTgYzGkOIFYgm6oulMLU+V4Tl4NFEVvC+BgA0vYBHFLU1BDGNWwZFisjru3vx4h/YYhhQyedTp00xZUUPJRTUBmW8d3gQkYCMv76oAw+/vQ8ByaMt+tx1VR/ysazoKvVY0MmgOLJzAvdxyx7ZMTt3Skg0RueuokKLvEYGBSwIRwjNYFxDkIEFvWok0YxJYa1+jx0opegzRN7YlW6wiyYCzJYBD+PkrqK2hiCaa/zwS56inpw1XeCUOjRHfJDU8Vrrgqas6MFEGrGkgpsf2YyfX7cYf/up+Vh77SIklSy6e4YBGC0DH2qDUtV6LHAyGEwoZREOjyKSPJJjbf+vL/p6ydefKOARRYWihMq2DIRmMK5xUpCBmzIIPUNJeD0EbQ1BxPJoBvF0Bikli+k88sZOM7BxE931Sjc+OsHqEwVlL+597UPc82q35pJ6c88J/OK1PQj7vTjQF8Ndr3Tjnle7TXM1zp2Lsj2DSTSEfLjzusUAgN3HhjQ94d39/RiMKxhOKqZKqEs7mtDWEMKRAeZr59FRDSHZZBmU2uPBae77jscgqf61YnQRJ3DNQPbIWtZuvb8eAFvYvPDi8tmXl3z9iYJiLYPtvazVyB2b73DsoZAXmmUgNIPxiJOCDNyUQegZSmJS2Iew34tYKgOn1gp84ZzeqMbkO7qJzF/xGW11+MZj76p+eQleD3Bb105NM2gM+3Bb107UB1nfA76fX8Y695su7MBZp9Tjw+NRXHZ6Kz4+pxmRgITZk9k//tKOJlx/wSykMllcOK85J8mrtS6AxjBzt/DoqPqQD7VBWbN2iv3+rMc5zR2g6Ghm/utydANrnkFneyd+sfwXAFh+QY2/hJIKExDcMshHBl17uvDE+09on3kPBVeEIDSDcY2T4rfGn5BveHAjQj4v0pmsYxmEnuEkmiN+hHwSMlmKpJJFQM590umLsoVTIwMbl0pKySLkM3/Fxr4GtQEJd768B9/pnI9/eeF9yB6C+9fvxXc65+MnL74PQoA7X47jO53z8bP/2Y2ntxzCob4E1n7B3Odg55EhUAosaGVugIaQzzbSqdYQtcRRG5S1BZmXoqgPyYgEJO08Pue/eGADzpnVqFkjdj0e1l67CDc+tBFzJtdg7/GYNvdntxzGgf64tn9eSwS7jg6VpRsYM5A52uvaIXtkDCQHSqryORHBy3jnI4M1m9ZoHeI4XPdQEGQwrnFSWAYAW6gumD0Jx4aSuDRPGYSeIUYGYR/7w3ZyFfHFlh9rbxlQ22iipR1NuOTUKTgRS+O6c6fjLz/egUsXtiCdpdrns06pRyKdxbXnnIK//HgHTm2txfaDg7j8zNacufMyFqdqZCBrlgugWy1crDaCl8/m9xTxS5C9HtQGZAwlFWTUZLqlHU2I+CW8vKsHn1tyiuP3t7SjCUHZi037+rHyY2zusyfXYOvBAfzp4mk4v30SokkF0xtDCMjF6SJOsFoGAHMdza6fDWB8lq+uBoqxDCrSQ0FoBuMaJ81vbX13L95UyyA8s+UQLj9zqu2C1jucxPyWCEJ+9tVEk4rmRjHC5F93CMN0iiZa392Lt/eewNc/ORu/emsfIkEJr+3uNX3edpAlYv3qrX2oC8nYsp81HXlq88Gcmj47Dg8iEtDLS9RbLIMB1WrhyW1GRAKSRhb9sRTqwzy6ib0OJxTUhWSs7+7VynQ8+OZefHyufTvMJzbsxzE1Iuvht/ahISxj+0FGVo9vOIClHZOQpUBNQEJbQ6gimoHkNd/X3Ia52HFix0mffczBNYN8AnJLuEXrcmbdXjRENNG4RtUtA0LIXkLINkLIFkLIBpv9hBByByFkNyFkKyFkcaXnYOxj7Jc8WDa32eTb5sJnNkvRq7qJ+CJ1//q9tuLps+8eApA/DNMumsg4l28un4evfqIdt3XtxFc/0W76vHwBC4lcueQU3Na1E3MmM//3gtZa3PjQRnz7qa3avN768DjqgzLe2HMcd73SrVoGuX0JIg5uoqGEgtc/6EVfLI0GtXrpscGEdi6fs1+1ctqbwtr3t767F1+6723t/fee3q5de2ZTCLd17URTDbvmN/54Dr7x2Lva9dsagjjQH9O+F7d9DbhFYLQMACCTZdbcjhM7ShNCJxC69nThd/t+BwC45fVbHL+LivRQEEln4xoj5Sa6iFJ6FqV0ic2+FQDmqD83ALiz0oNzH/fH5zRjfksE/bG0qQwCFz7/e8dRpDMUw0kF9772IQBg+qSQrXhapy6s9aoQbKsZ2EQTWf3tmSzwnc754P1l+Ge/Ws56OKngO53zNXcVf/o/OpjAzY9sxt2vdGP3sSim1AU0Ubc+5EO/oRQ1F4LrgrlPbNxauPnRTThwIob6kA/ru3vx8Fv7AAAD8bQ2Z66lbz84iB9eeRqeffcQbn5kMy6YPQk3P7IZz2w5hKDs1XQUn9eD73TOR79qNbXVh/C9T58KAHhsw35IanXWUvsaGPMMOLr2dGHdR+u0zyUJoRMEvERHTGGEezxx3PG7qEgPBeEmGtcYC7+1KwE8SFnYzpuEkHpCSCulNNdmLRHGcgcLptbit9uP4Pz2SaYQS15nHwCe2nQQ3/zj/9/emUfHVZ0J/vdVlUr7UnJJXiTjpTB4wYCMMUYEcCAJgRDo9MC0Y5NmMkkIxEzoTGcyYTLTh/RJuoeTTKbpmMRD0t3pM9hNMpmkmzFLu5vEhkQngLGCbWzZuGxj2XiRLMnaVVWqO3+8d59elapkWVs9ofs7R0d6S6m+96S63/v2K/jz7QeIhEucY59Zu4Btb5xg84Y6drxzNsW/fqZzeCuETO0o0lsvZNved/ICP93dzC1XVPGxFXPYvtfy3YoI/+sz17Fp6x6uqinnL15qAuDg+5386MHV1EfCvHmsna6BhJPNdLEAMsATn1zBV372e/x+4dFtjfzJR5bwrRcO0tkf5+FbIySTiv5Ekpsis/ht9DxbXz9B05kuR7GtmGf1RerqTxAfVPgE1iyq5DNrF/LtFywZ23tjXDnH8ls/cmuEp38dpS8+yKate8Y010DHDNwB5Kf2PEUsGUs5b6zD5Kc7mVp0jHQvxj1DwecDxCiDacpUWAYK2CEib4nIQxmO1wDNru2T9r4UROQhEdktIrtbWsbeYmDZ3DI6euOcvpD6IamPhLltaTUAH1s+mzWLKgHoiSVYHC6hsy/O5l8PtXhI969nKjrLlFo6WiqKrN+tq4J12qfu57NmUSWvvTvkvvqDuhpnMQ0Vp772YgFkgNrKQgQ4fLabB264jBsj1rQ3bfHoArwPL61mdlk+DdHzKe0u6iNhFs2yai7++MYFzKso5FR7X0oVdUdvnG77Pq1eWMmtV1hT3+5cOba5Bpksg4kcJj/dycm98AWMMpimTIUyuEkptQrLHbRJRG5JO56pp+6w5H6l1DNKqdVKqdVVVVVjFkanX+rZAZqGaCs7DlgfkleaznH4rNXRszeW4OV3TqOwZiLrFg9u/7o7COsmWzbRaAjZQWvt+9eprCc7emmItrLzUAs+sW7e7UureWn/GceVpaeWdTjzFhIE/T7H5+9Gt8H4/ivvMqjg36yq4dnXT3DkrFWVrAfc6KrhM539tPfEKS8MpLS7aIi20nSmi4rCPJ57s5nSggAn2/tSsoXae2PO7zna0s3vjp3nvutqeGnfmWFxmdGQSRlM5DD56U5O7oXPb2IG05RJVwZKqfft7+eAXwJr0k45Ccx3bdcC70+WPEttZaDTMWEoDvCpay2D5H/822ucYff7T13gu/9sDZO/bkHIafGg/eswlJ6ZXqCWrR3FaCgO+gn6fbT1xkgMJunsT+D3Cafa+3h0ayPVpfn4RPgvn1hKY3MHj6xb7MQ2KvUIS5dlUFYYyNjLXlsGOw+3Ul2az3fuu4bNG+p44v+9Y7/WtgzsRfy5N5pZd2UVSuHcix+9FuXRbY0snVvKgnAxmzfUEW3pIdrS7dQR+H2S0pb7yZcP8YONq/ju/dfy9MZVY5proN1DbjfRRA6Tn+7k5F4Yy2DaMqnKQESKRaRU/wx8DNifdtrzwB/bWUVrgQsTGS9ws2VXlL0nO1gwq4gDtmXQEG3lmVePsnlDHcX5AfIDPm5fWs33/ugaAI619HL/dbWA9YS99+QFHlm3mPM9MUK2K6etd4CkSm15rZSyAsgZUktHg4hQUZRHR0+cC7bPf0l1CUkFT9y7gnNdA9x6RRVfuDnC5g11DCZxguLaxeSexJYpXrBlV5TouW5ne8MNl/G7Y+d55tWjPGLHLnS8oSF6HoAvrbNqHjr7E6xZWMnmDXX89sh5Nm+ow+8TygoC1EfC3L1yLu29cY639hDwCQsqi+jojTlK5b//4cphMZtLnWuws3knAD899FMna2gih8lPd3JyL0Tg2KvQdXby3sMwKUy2Cp8N/NJ+Ig0A25RSL4vIwwBKqS3Ai8BdwBGgF/jsZAmjs4Yuryrm4OnOlDTP+kiYn+8+SbgkHxHh1ius+MHV88udKWad/XE+sryaR7c1MpAYJGRn3vxTo2XIdPbFKbHrExL2a8bqJoKhSmL9hL9iXjlNZ7oYTCYZSCT5sB3jqI+EUxZW7ad33ET9CachXvr92LR1j7O9aJaVMvrIusX8cOdRCvN8Tmrpd/75EADXL6p0rKqOvnjKe3f27Xe6uN4YmcUvGk/xxvF25lUUMqvEupaugaHYgxv37xkNLxx9gSffeNLZ1llDMHHD5D8ITPm9SMRgoAt2PQl3f2/q3tcwbibVMlBKHVVKXWN/rVBKfdvev8VWBCiLTUqpiFJqpVJqWC3CRKGfQPed6uT4+V42bd2TkuapW1GA5dYoyPPRGxukpXvoCbs+Euap9dfSF09y8HQnj25r5PM3L7aOu+IGsYSVKzpWNxFYQeSO3rizqK+ssVxcO96xnrr0QPt0Qo5lYI/l7I9nDB7XR8L89afrAKipKOCb2w+weUOdY20MJJLOkJzPf2gRACX5AVdwOzVrp7M/MRSQttt07z91gdpQoVUI12MFkAM+yRi/uBRGypQx5IBvVcMT5TBoD4fa/TfW9reqR36dwTPMmHYUmvpImNuXWf+gty+rTnka1a0oNMXBAD0DCWfGgV7sdduH14+18cANl3H9QivzyF1rEB8cvzIYZhnUWHn4uw63IAJL52RuL1CY5ycY8F3UTQRw85Iqrl8Y4lRH/7DsoMriIE1nunjghsucJ/6S/IATOHe3vBh6n6G5DACDSUVNRaFTCNczkKA4P3P84lIwWUMe47G9cNX9oIP5gUJYeT88ti+3chlGzYxTBg3RVn5jp2S+mJbF0tqdqgyK7M6lug2DXux3Np0DhgbIHD/fbR93WQa2MhiXm6jY6jGkF/U5ZQVUlebTGxtk0aziYU3wNCJCyI43gP3EnqHgDKz7EW3pcVphuLODOnrjzC0v4NnXT7Dfbo+Rogx6hiyD/vggA4mkY4HMKS9wpsDVhooIFQXp6I3TNZBwXGnjwWQNeYzSOZBfCmoQAgWWhZBfBqVmuNB0YUYpAx0j+MHGVZQX5rF2caWTxZIYTHK+J0ZVyXDLoNVlGTREW/nmdivTaOMNC7hjxWz+8kWrqGqPPWy+IdrK3/3WqmBuOHLpKZOaiqIgHb0xxx3z7rku54l72byyEVs4hIqC7DnRbg22cVkG7tekt8ZIzw66bkGIwqCfzRvq+Nnuk9Y9SXETDa9yLisIsGVXlDePtzG33JK1NlRIZ3+c2GCSlq6BCVEGJmvIg/Scg+s+C5//V+t7twkiTydmlDJwWkFcHmb53DLO9wy1pWjriaEUqZZB0E9PLOGyDKzWDF+wYwShoiCfvGae4/L4ScNxZyHV5ROLwsVjljdUlEciqZy5Bl/9P3uddtolwcCILRwqivLwi7Bp6x7niT297UN6awwdU9HZQZdXl9DRG3dca36fEAz4htVAwFA9QllhnhOo10Hrjr4Yz//eCrI3t/VSkiGYfamYrCEPsn6rFTSes9L6vn5rriUyXAIzShk8fGvEWfiWzS2j6XQnaxZW8vCtEafTZthtGeQHOHOhn1giSXHQT/dAgoduXsycMuuJtKIoj/pI2JkuNqs4yLdfaKI+Mottdm+f5fMurd+OG13HcKy1h8rifDZvqKPRtj5e2Hc640wBTagoyKBS/MWnVgLwxrG2lMyp9PuhqY+E+cln11AfCduunRjJpKKiKI8K2wVUHPST55e0NtnaMshzlMrRVmui2/dfOcIX7VTVUx19E2IZgKUQdty3g70P7mXHfTuMIjAYxsGMUgZuls8rYyCR5Ph5a8HST//plkFzm5WmubiqxK4lSAzNCrafkG9eUkVhnp9mu9p2+97T3HmV5bvO1MIFAgdRAAAOnElEQVR6tGjf/NGWHkK24tEtHP7o+uwzBUC3sY5TXWZdz67DLSkB4tFQUZRHUlkuoO5+K/ALugYimJJN5PQ/smMT9ZEwa+zA+gNrL2PtYqu9RXxQTZgyMBgME8fMVQa6Evm01XZCxwWq07KJdCB4cZU967g/QXtvnDy/OANwGqKt5Ad8rLvCWmhrKgp4cZ9VNze+OgPrSfz9C31ON9E3j7XzuZsW8svGUyNW7IaK8ujojfHDnVZ84Iu3LE4JEI/u/S1l1NYbo3tgMGURz9Ym2x2beOf9C3z+Q4vY9kYz79lKFzDKwGDwIDNWGVxeXUKeX5wCKm0ZuN1ERflDPVb0zN7OPivvv6IoiIg4fvhNt0XYe6qT2lABZzsHuPfaeQC8a/c4GgvaTaQUJJWy3Dwb6/hvn1zhBHuzLe6hoiCJpOJfD56jPjKLx+9adtHXDPsdxUOVzN0D8RRfv7Y8NDrTyh2beHrjKv7r3cvZvKGOb7940Dm32CgDg8FzzEhlsGVXlN3vtXF5danTlmJvcwdBv4/C4JACcKduupVBe+9QKwodhNXtIJbOKWdueQGxQasC+b3zY5/xq98DIJ5IZgz2ZmrhsGVXlFZbuYEVG2iItjqyjrbtg7vhXXdaSqi2PDRDA3QCGQPT37eL24AJCSAbDIaJZUYqA53tEi4JOm0pftXUMmy8ZZGtGPL8wvxKK02ysz9Be0/cWSh1EFZ/DxXlER9U3LHCyq++f/V8xkq5q2r4xgztGvT7Zro+PZxmTlkBPhEniyjbazLhNLzridMzzE2UbhnECfiEwjx/xsD0zUuqKLVfX5JvuloaDF5jRioD/VT91nvttHQN8KVn97C4qtiZ0KUpti2DcEm+szBry0AvlOmEiq2q4VjCsgzGU4Ec8Pucil63lXAx6iNhvnrHFQDUVBTy5ecaR8w8ysZQpXGMLlcAGYZqIHSn1k675cVIlcV6/kNJ/uivxWAwTA0zUhmAtWDeY/v1r51fQXwwmZJJBEMxg6rSfCcw2tkft2YZFGde0CqK8hhIJB23STAwvrYLOmMplEX5ZGP99ZexsqaMt060X3IWkaa0IIBPrOKynoHUZnfaAtKdWrv6E47iyoa+BuMmMhi8x4xVBg3RVna8c5ZZxUFeO9LK6Y6+YcpAWwZVJfnOQtjZl3ACyJlIHygf9I/PJaLfp+ISLAOwqqFPdfQPazNxKfh8Vgppa/cAffHhbiIYaknR2Ze5GZ4bfS3GTWQweI8Z+Yims13uWDEbvwjPvn6C3qSiLzboBFphqPNoVWk+AXtS2K+azpJIqqxuG71fF7HljdEy2LIrytW15c7vCxUHHdku5vNPb829NjJrWMHZaKkoynNaYqe6iYZaUsyvTO1YerFrKcnPG/W1GAyGqWFGWgY62+WT18xj+77TTkO1Y63dTqD16tpyfvTaUcBSBg3RVmKDSeJ2llA2y0DvP2tbBmONGeggd0JnJbX2jNh+ItP1jXd4DFgWQHOblRFV6rYM0lpSWJZB5mcLfS39cculdORc16ivxWAwTA0zUhnobJf6SJgfbFyF39YGB053OYtofSTMf7rjSsBaXB/d1khNRYEzdSybD99xE9mWwViLzvQC/ubxNgC+9eLBUT/ZZ2szMZan8FAWyyCUPk2tP05plsCwvpZXD1uuqidfPjQmK8VgMEweM1IZuKmPhLljhdU64lN181IWqI8un40w1MphTlkh71+wFsaLuok6bWUwjmyi+kiYG+02DmMNAo+XiqKgYw2lF52BO2aQvU02WNdyi12h/ek1I7fSMBgMU8+MVwYN0VYaouf53IcW8ULafINjrT2UF+U5QdjBpELPvL+Ym0gPxBlPamlDtJW3T3bw0M2L2fZG85iCwOPFrfTcAWTdtK69N04skaQvPpg1ZgA4rTS+cPMifrb7ZE6uxWAwZGdGBpA16YHW25dVO9uAM/tAB2H/3d++6bw2m2UQDPgoDvrpiQ3i94njghqrbE/b779uadWYg8Djwa303MpA10B09MZS2ldnwrnPGy3ZP7y0OifXYjAYsjMlloGI+EWkUUS2Zzi2TkQuiMjv7a8/mwqZYORAa6Zj666scl5bPkIapV5Ax9OxdCKDwOPBHRvRbqItu6I0RFvtAru4M9hGxzfS8cq1GAyG7EyVZfAYcBDIPMEdXlNK3T1FsjhkCqjq4HEmrphdyo4DZykrCBAYwf0TKraCruNxEV2qbJNFJjeRzg7SnUt/c6QFgGVZZjJ75VoMBkN2Jt0yEJFa4BPAjyf7vSYbHSANFY9cDayfpvPH0b7aK7jdRLplt36yP9HWS9PpTp58+RAAa+xgt8FgmH5MxWr1V8DXgOQI59woIm+LyEsisiLTCSLykIjsFpHdLS0tkyLoxSi1A6TZgseaITfR9FcGuu1GYZ4/xRqqj4S5traClu4YdfMrAEYMIBsMBm8zqauViNwNnFNKvTXCaXuABUqpa4DvA/+Y6SSl1DNKqdVKqdVVVVWZTpl09GJ3saZxlfbxD4QysBVb+gyChmgrh891A/CbI1ZmUKnpOWQwTFsme7W6CbhHRI4DzwG3iciz7hOUUp1KqW775xeBPBHxnDN5y64oJ9utSly9QDZEW9myKzrsXG0ZjGfKmRfYsitK0xlr3oNe6BuirTz+i708uq2Ru1bOYUl1MUk73bbpTGfWe2IwGLzNpK5WSqnHlVK1SqmFwHrgV0qpB9zniMgcsfsei8gaW6bzkynXWLi6tpynf30EsPry6HTJTC0VQh8Qy+Dq2nK+8tO3yQ/4KMkPONcMOO08TnVYbTcE2PHOWdNmwmCYpuRktRKRh0XkYXvzPmC/iLwN/DWwXukm+R6iPhLmiXuscMaB9ztHzJPXAebgOFJLvYAOFMcHk7T1DDjX/Jd/eLWTDfTUeqsmIxjwsePAWVM7YDBMU6bMyauU2gnstH/e4tq/Gdg8VXKMh48un03AJ7x+rI0v33Z51kXvg+ImAksh1IQKaW7ry3jNH10+m6VzSmk608UXb8lNywyDwTB+pv9qNYXsO3WB0oIA/+HDI88I+KC4icCKEXT3J/jSukjGa26ItnK2s5+Hb1085rkJBoMh90z/1WqKcLeH+NM7rmTzhjoe3daYcfELfUAsA/c1f+3jS4dds/v41+9cNuI9MRgM3mZ6r1ZTyGhbKmzZFeXw2S5gyDKYrhk2F7tm02bCYPjgIB6M1V6U1atXq927d+dajIzop+WO3hh3XjWXjWsvM03ZDAaDJxCRt5RSqzMdM5bBBKOfjpUamuhlFIHBYPA6RhlMAvWRMLctrebQ2e6cDaUxGAyGS8Eog0mgIdpKY3OHMxTHBFQNBoPXMcpggnEPzPmPHxs568hgMBi8glEGE4zJsDEYDNMRk01kMBgMMwSTTWQwGAyGETHKwGAwGAxGGRgMBoPBKAODwWAwYJSBwWAwGJim2UQi0gK8N8aXhwGvJ/0bGScGI+PE4HUZvS4feEfGBUqpjEPkp6UyGA8isjtbapVXMDJODEbGicHrMnpdPpgeMho3kcFgMBiMMjAYDAbDzFQGz+RagFFgZJwYjIwTg9dl9Lp8MA1knHExA4PBYDAMZyZaBgaDwWBIwygDg8FgMMwsZSAiHxeRQyJyRES+nmt5AERkvoj8WkQOisg7IvKYvb9SRP5FRN61v4dyLKdfRBpFZLtH5asQkZ+LSJN9L2/0oIxfsf/G+0XkH0SkINcyisjfisg5Ednv2pdVJhF53P78HBKRO3Io43fsv/VeEfmliFR4TUbXsa+KiBKRsGvflMt4MWaMMhARP/A0cCewHPi0iCzPrVQAJIA/VUotA9YCm2y5vg68opRaArxib+eSx4CDrm2vyfcU8LJSailwDZasnpFRRGqALwOrlVJXAX5gvQdk/Anw8bR9GWWy/y/XAyvs1/zA/lzlQsZ/Aa5SSl0NHAYe96CMiMh84KPACde+XMk4IjNGGQBrgCNKqaNKqRjwHHBvjmVCKXVaKbXH/rkLaxGrwZLt7+3T/h74g9xICCJSC3wC+LFrt5fkKwNuAf4GQCkVU0p14CEZbQJAoYgEgCLgfXIso1LqVaAtbXc2me4FnlNKDSiljgFHsD5XUy6jUmqHUiphb/4OqPWajDb/E/ga4M7UyYmMF2MmKYMaoNm1fdLe5xlEZCFQB7wOzFZKnQZLYQDVuZOMv8L6h0669nlJvsVAC/B3tivrxyJS7CUZlVKngO9iPSGeBi4opXZ4SUYX2WTy6mfo3wMv2T97RkYRuQc4pZR6O+2QZ2R0M5OUgWTY55m8WhEpAf4v8CdKqc5cy6MRkbuBc0qpt3ItywgEgFXAD5VSdUAPuXdbpWD73e8FFgHzgGIReSC3Ul0ynvsMicg3sFytW/WuDKdNuYwiUgR8A/izTIcz7Mv5WjSTlMFJYL5ruxbLTM85IpKHpQi2KqV+Ye8+KyJz7eNzgXM5Eu8m4B4ROY7lWrtNRJ71kHxg/W1PKqVet7d/jqUcvCTjR4BjSqkWpVQc+AVQ7zEZNdlk8tRnSEQeBO4GNqqhgimvyBjBUvxv25+dWmCPiMzBOzKmMJOUwZvAEhFZJCJBrADO8zmWCRERLF/3QaXU91yHngcetH9+EPinqZYNQCn1uFKqVim1EOue/Uop9YBX5ANQSp0BmkXkSnvX7cABPCQjlntorYgU2X/z27HiQ16SUZNNpueB9SKSLyKLgCXAGzmQDxH5OPCfgXuUUr2uQ56QUSm1TylVrZRaaH92TgKr7P9VT8g4DKXUjPkC7sLKPIgC38i1PLZMH8IyEfcCv7e/7gJmYWVyvGt/r/SArOuA7fbPnpIPuBbYbd/HfwRCHpTxm0ATsB/430B+rmUE/gErhhHHWrA+N5JMWK6PKHAIuDOHMh7B8rvrz8wWr8mYdvw4EM6ljBf7Mu0oDAaDwTCj3EQGg8FgyIJRBgaDwWAwysBgMBgMRhkYDAaDAaMMDAaDwYBRBgaDwWDAKAODwWAwAP8fATf0rjEKXFoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa[\"sepal_length\"],marker=\"x\")\n",
    "plt.plot(df_virginica['sepal_length'],marker='*')\n",
    "plt.plot(df_versicolor['sepal_length'],marker='o')\n",
    "plt.ylabel('sepal_length')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa['sepal_width'])\n",
    "plt.plot(df_virginica['sepal_width'])\n",
    "plt.plot(df_versicolor['sepal_width'])\n",
    "plt.ylabel('sepal_width')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa['petal_length'])\n",
    "plt.plot(df_virginica['petal_length'])\n",
    "plt.plot(df_versicolor['petal_length'])\n",
    "plt.ylabel('petal_length')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa['petal_width'])\n",
    "plt.plot(df_virginica['petal_width'])\n",
    "plt.plot(df_versicolor['petal_width'])\n",
    "plt.ylabel('petal_width')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa['species'],df_setosa['sepal_length'],marker='o')\n",
    "plt.plot(df_virginica['species'],df_virginica['sepal_length'],marker='o')\n",
    "plt.plot(df_versicolor['species'],df_versicolor['sepal_length'],marker='o')\n",
    "plt.ylabel('sepal_length')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa['petal_width'],df_setosa['species'],marker='o')\n",
    "plt.plot(df_virginica['petal_width'],df_virginica['species'],marker='x')\n",
    "plt.plot(df_versicolor['petal_width'],df_versicolor['species'],marker='*')\n",
    "plt.xlabel('petal_width')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa['petal_length'],np.zeros_like(df_setosa['petal_length']),'o')\n",
    "plt.plot(df_virginica['petal_length'],np.zeros_like(df_virginica['petal_length']),'x')\n",
    "plt.plot(df_versicolor['petal_length'],np.zeros_like(df_versicolor['petal_length']),'*')\n",
    "#plt.plot(df_setosa['sepal_length'],np.ones_like(df_setosa['sepal_length']),'o')\n",
    "#plt.plot(df_virginica['sepal_length'],np.ones_like(df_virginica['sepal_length']),'x')\n",
    "#plt.plot(df_versicolor['sepal_length'],np.ones_like(df_versicolor['sepal_length']),'*')\n",
    "plt.xlabel('Petal length')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa['petal_length'],np.ones_like(df_setosa['petal_length']),'o')\n",
    "plt.plot(df_virginica['petal_length'],np.ones_like(df_virginica['petal_length']),'x')\n",
    "plt.plot(df_versicolor['petal_length'],np.ones_like(df_versicolor['petal_length']),'*')\n",
    "#plt.plot(df_setosa['sepal_length'],np.ones_like(df_setosa['sepal_length']),'o')\n",
    "#plt.plot(df_virginica['sepal_length'],np.ones_like(df_virginica['sepal_length']),'x')\n",
    "#plt.plot(df_versicolor['sepal_length'],np.ones_like(df_versicolor['sepal_length']),'*')\n",
    "plt.xlabel('Petal length')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bivariate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_setosa['petal_length'],df_setosa[\"petal_width\"],'o')\n",
    "plt.plot(df_virginica['petal_length'],df_virginica[\"petal_width\"],'x')\n",
    "plt.plot(df_versicolor['petal_length'],df_versicolor[\"petal_width\"],'*')\n",
    "plt.xlabel('Petal length')\n",
    "plt.ylabel('petal_width')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x222c9633f08>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 588.75x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(df,hue=\"species\",height=7).map(plt.scatter,\"petal_length\",\"petal_width\").add_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x222c972d448>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 444.75x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(df,hue=\"species\",height=5).map(plt.scatter,\"petal_length\",\"sepal_width\").add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multivariate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x222c97bea48>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 948.75x864 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df,hue=\"species\",height=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "scrolled": true
   },
   "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>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sepal_length</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.117570</td>\n",
       "      <td>0.871754</td>\n",
       "      <td>0.817941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sepal_width</th>\n",
       "      <td>-0.117570</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.428440</td>\n",
       "      <td>-0.366126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>petal_length</th>\n",
       "      <td>0.871754</td>\n",
       "      <td>-0.428440</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.962865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>petal_width</th>\n",
       "      <td>0.817941</td>\n",
       "      <td>-0.366126</td>\n",
       "      <td>0.962865</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              sepal_length  sepal_width  petal_length  petal_width\n",
       "sepal_length      1.000000    -0.117570      0.871754     0.817941\n",
       "sepal_width      -0.117570     1.000000     -0.428440    -0.366126\n",
       "petal_length      0.871754    -0.428440      1.000000     0.962865\n",
       "petal_width       0.817941    -0.366126      0.962865     1.000000"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Histograms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([37., 13.,  0.,  3.,  8., 26., 29., 18., 11.,  5.]),\n",
       " array([1.  , 1.59, 2.18, 2.77, 3.36, 3.95, 4.54, 5.13, 5.72, 6.31, 6.9 ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df[\"petal_length\"]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 1.,  2.,  3.,  2.,  8.,  7.,  6., 10.,  7.,  4.]),\n",
       " array([3.  , 3.21, 3.42, 3.63, 3.84, 4.05, 4.26, 4.47, 4.68, 4.89, 5.1 ]),\n",
       " <a list of 10 Patch objects>)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df_setosa[\"petal_length\"]) \n",
    "plt.hist(df_virginica[\"petal_length\"]) \n",
    "plt.hist(df_versicolor[\"petal_length\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x222ca8c9948>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df[\"petal_length\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x222ca926e08>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df_setosa[\"petal_length\"])\n",
    "sns.distplot(df_virginica[\"petal_length\"])\n",
    "sns.distplot(df_versicolor[\"petal_length\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2427bcfcd08>"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df_versicolor[\"petal_length\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "What Is a Bell Curve?\n",
    "\n",
    "A bell curve is a common type of distribution for a variable, also known as the normal distribution. The term \"bell curve\" originates from the fact that the graph used to depict a normal distribution consists of a symmetrical bell-shaped curve.\n",
    "The highest point on the curve, or the top of the bell, represents the most probable event in a series of data (its mean, mode, and median in this case), while all other possible occurrences are symmetrically distributed around the mean, creating a downward-sloping curve on each side of the peak. The width of the bell curve is described by its standard deviation.\n",
    "\n",
    "Normal distribution, also known as the Gaussian distribution, is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. In graph form, normal distribution will appear as a bell curve.\n",
    "\n",
    "正态分布（Normal distribution），也称“常态分布”，又名高斯分布（Gaussian distribution），最早由棣莫弗（Abraham de Moivre）在求二项分布的渐近公式中得到。C.F.高斯在研究测量误差时从另一个角度导出了它。P.S.拉普拉斯和高斯研究了它的性质。是一个在数学、物理及工程等领域都非常重要的概率分布，在统计学的许多方面有着重大的影响力。\n",
    "正态曲线呈钟型，两头低，中间高，左右对称因其曲线呈钟形，因此人们又经常称之为钟形曲线。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}