Exploring Iris Dataset with Seaborn.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "--Zz-ucxoTP_"
   },
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "JAM_ZRbknDxR"
   },
   "outputs": [
    {
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       " 'target': array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
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       "        2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]),\n",
       " 'frame': None,\n",
       " 'target_names': array(['setosa', 'versicolor', 'virginica'], dtype='<U10'),\n",
       " 'DESCR': '.. _iris_dataset:\\n\\nIris plants dataset\\n--------------------\\n\\n**Data Set Characteristics:**\\n\\n    :Number of Instances: 150 (50 in each of three classes)\\n    :Number of Attributes: 4 numeric, predictive attributes and the class\\n    :Attribute Information:\\n        - sepal length in cm\\n        - sepal width in cm\\n        - petal length in cm\\n        - petal width in cm\\n        - class:\\n                - Iris-Setosa\\n                - Iris-Versicolour\\n                - Iris-Virginica\\n                \\n    :Summary Statistics:\\n\\n    ============== ==== ==== ======= ===== ====================\\n                    Min  Max   Mean    SD   Class Correlation\\n    ============== ==== ==== ======= ===== ====================\\n    sepal length:   4.3  7.9   5.84   0.83    0.7826\\n    sepal width:    2.0  4.4   3.05   0.43   -0.4194\\n    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\\n    petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\\n    ============== ==== ==== ======= ===== ====================\\n\\n    :Missing Attribute Values: None\\n    :Class Distribution: 33.3% for each of 3 classes.\\n    :Creator: R.A. Fisher\\n    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\\n    :Date: July, 1988\\n\\nThe famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\\nfrom Fisher\\'s paper. Note that it\\'s the same as in R, but not as in the UCI\\nMachine Learning Repository, which has two wrong data points.\\n\\nThis is perhaps the best known database to be found in the\\npattern recognition literature.  Fisher\\'s paper is a classic in the field and\\nis referenced frequently to this day.  (See Duda & Hart, for example.)  The\\ndata set contains 3 classes of 50 instances each, where each class refers to a\\ntype of iris plant.  One class is linearly separable from the other 2; the\\nlatter are NOT linearly separable from each other.\\n\\n.. topic:: References\\n\\n   - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\\n     Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\\n     Mathematical Statistics\" (John Wiley, NY, 1950).\\n   - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\\n     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\\n   - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\\n     Structure and Classification Rule for Recognition in Partially Exposed\\n     Environments\".  IEEE Transactions on Pattern Analysis and Machine\\n     Intelligence, Vol. PAMI-2, No. 1, 67-71.\\n   - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\\n     on Information Theory, May 1972, 431-433.\\n   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\\n     conceptual clustering system finds 3 classes in the data.\\n   - Many, many more ...',\n",
       " 'feature_names': ['sepal length (cm)',\n",
       "  'sepal width (cm)',\n",
       "  'petal length (cm)',\n",
       "  'petal width (cm)'],\n",
       " 'filename': 'iris.csv',\n",
       " 'data_module': 'sklearn.datasets.data'}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe = load_iris()\n",
    "dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "uBxdbJ1opRZx"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "id": "WN4IqRhRphuC"
   },
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>Species</th>\n",
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       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
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       "      <td>2.0</td>\n",
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       "      <th>146</th>\n",
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       "      <td>2.3</td>\n",
       "      <td>2.0</td>\n",
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       "      <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>2.0</td>\n",
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       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                  5.1               3.5                1.4               0.2   \n",
       "1                  4.9               3.0                1.4               0.2   \n",
       "2                  4.7               3.2                1.3               0.2   \n",
       "3                  4.6               3.1                1.5               0.2   \n",
       "4                  5.0               3.6                1.4               0.2   \n",
       "..                 ...               ...                ...               ...   \n",
       "145                6.7               3.0                5.2               2.3   \n",
       "146                6.3               2.5                5.0               1.9   \n",
       "147                6.5               3.0                5.2               2.0   \n",
       "148                6.2               3.4                5.4               2.3   \n",
       "149                5.9               3.0                5.1               1.8   \n",
       "\n",
       "     Species  \n",
       "0        0.0  \n",
       "1        0.0  \n",
       "2        0.0  \n",
       "3        0.0  \n",
       "4        0.0  \n",
       "..       ...  \n",
       "145      2.0  \n",
       "146      2.0  \n",
       "147      2.0  \n",
       "148      2.0  \n",
       "149      2.0  \n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe = pd.DataFrame(data= np.c_[dataframe['data'], \n",
    "                                     dataframe['target']],\n",
    "                  columns= dataframe['feature_names'] + ['Species'])\n",
    "dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "E2uWuTdpqpwN"
   },
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "sns.set_style(\"dark\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IfvLL-YtrAZr"
   },
   "source": [
    "## 1. Scatterplot\n",
    "\n",
    "A scatter plot is a type of plot used to display values for typically two variablesin a dataset. \n",
    "Sepal length v Sepal Width."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 386
    },
    "id": "tbQCUtyeq3FT",
    "outputId": "576333fa-9f6e-45a9-f681-05881d688559"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1ec69cbe130>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='sepal length (cm)', \n",
    "           y='sepal width (cm)', \n",
    "           data=dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 386
    },
    "id": "58EpQJ7stDnP",
    "outputId": "8b9644f2-efcb-4f40-981a-6cb2fcb2dc31"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1ec7d10e400>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 410x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='sepal length (cm)', \n",
    "           y='sepal width (cm)', \n",
    "           data=dataframe,\n",
    "           fit_reg=False, # remove regression line\n",
    "           hue='Species')   # set color by species"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Fyvim-I1toHw"
   },
   "source": [
    "## 2. Boxplot \n",
    "\n",
    "A boxplot is a standardized way of displaying the distribution of data based on a five number summary\n",
    "- 1.Minimum           \n",
    "- 2.1st quartile(Q1)\n",
    "- 3.Median            \n",
    "- 4.3rd quartile(Q3)\n",
    "- 5.Maximum\n",
    "- It also provides information about outliers and their values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 500
    },
    "id": "QGRw6gVouCpG",
    "outputId": "3ebe3198-efc7-42d8-f241-c180d101dea3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8)) \n",
    "sns.boxplot(data=dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 500
    },
    "id": "Ej0qp_hPuhM5",
    "outputId": "642306ce-d7a9-4c35-ba10-67a43deeabba"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataframe_1 = dataframe.drop(['Species'], axis=1) # Remove Species column\n",
    "\n",
    "plt.figure(figsize=(10,8)) \n",
    "sns.boxplot(data=dataframe_1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "atBUBjnJvqZy"
   },
   "outputs": [],
   "source": [
    "species_colors = ['#78C850',  # Setosa\n",
    "                    '#F08030',  # Versicolor\n",
    "                    '#6890F0',  # Verginica\n",
    "                  ]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "CKRzwiCkxC97"
   },
   "source": [
    "## 3. Violin Plot\n",
    "\n",
    "A violin plot is used to visualize the distribution of numerical data. Violin plots depict summary statistics and the density of each variable. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 500
    },
    "id": "tFwj2DHrwssV",
    "outputId": "1a694bf5-b21c-475e-f344-7c5a547f69d2"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8)) \n",
    "sns.violinplot( data=dataframe, \n",
    "               palette=species_colors) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "O914SDH0xN_A"
   },
   "source": [
    "## 4. Swarm Plot\n",
    "\n",
    "A swarm plot is another way of plotting the distribution of an attribute or the joint distribution of a couple of attributes. \n",
    "Here we create a Swarm plot of Petal length across the species."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 514
    },
    "id": "ja1N5-LLx90M",
    "outputId": "6f432a49-a0d8-4622-c942-40b1e2141658"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Species', ylabel='petal length (cm)'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8)) \n",
    "sns.swarmplot(y='petal length (cm)',\n",
    "              x='Species', \n",
    "              data=dataframe, \n",
    "              palette=species_colors)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 530
    },
    "id": "yLspoEmuy0oO",
    "outputId": "b1fb6168-944d-40ad-9c79-6975e0924bf4"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Combined Plot')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Combining the Violin and Swarm plots\n",
    "plt.figure(figsize=(10,8))\n",
    " \n",
    "sns.violinplot(x='Species',\n",
    "               y='petal length (cm)', \n",
    "               data=dataframe, \n",
    "               inner=None, # Remove the inner bars of the violin plots\n",
    "               palette=species_colors)\n",
    " \n",
    "sns.swarmplot(y='petal length (cm)', \n",
    "              x='Species', \n",
    "              data=dataframe, \n",
    "              color='w', # Make points white\n",
    "              alpha=0.5) # Transparency\n",
    " \n",
    "plt.title('Combined Plot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-xX_a3bIIIC1"
   },
   "source": [
    "## 5. Correlation Heatmap\n",
    "\n",
    "Correlation describes the size and direction of a relationship between two (or more) variables. i.e. the directionality of the variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "RGCHh23sIjvR"
   },
   "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 (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sepal length (cm)</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 (cm)</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 (cm)</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 (cm)</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 (cm)  sepal width (cm)  petal length (cm)  \\\n",
       "sepal length (cm)           1.000000         -0.117570           0.871754   \n",
       "sepal width (cm)           -0.117570          1.000000          -0.428440   \n",
       "petal length (cm)           0.871754         -0.428440           1.000000   \n",
       "petal width (cm)            0.817941         -0.366126           0.962865   \n",
       "\n",
       "                   petal width (cm)  \n",
       "sepal length (cm)          0.817941  \n",
       "sepal width (cm)          -0.366126  \n",
       "petal length (cm)          0.962865  \n",
       "petal width (cm)           1.000000  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr = dataframe_1.corr()\n",
    "corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 504
    },
    "id": "6ki9byzSI-P-",
    "outputId": "1f8ffe2f-5740-4e14-fd79-2e1a5bb8337d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "sns.heatmap(corr, cmap=\"crest\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "aL1OwhWeJIJj"
   },
   "source": [
    "## 6. Histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 514
    },
    "id": "iQZ36DGJJUbp",
    "outputId": "e43bf959-a4e6-4da3-887b-59afa1da4a94"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='petal length (cm)', ylabel='Count'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "sns.histplot(dataframe,\n",
    "             x='petal length (cm)',\n",
    "             kde=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "n9m2aKVKJlbX"
   },
   "source": [
    "## 7. Bar Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 522
    },
    "id": "h19kp3CmJprF",
    "outputId": "6961f024-bddc-414a-e212-276ff5b6bca8"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2]), [Text(0, 0, '0.0'), Text(1, 0, '1.0'), Text(2, 0, '2.0')])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "sns.countplot(x='Species',\n",
    "              data=dataframe, \n",
    "              palette=species_colors)\n",
    "plt.xticks(rotation=-45) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8Q2rxJ8lLIr5"
   },
   "source": [
    "## 8. CatPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 450
    },
    "id": "Dh-yBA9kLNZw",
    "outputId": "1de5a53d-b395-4743-e6d7-8bb7c181ca7f"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\seaborn\\categorical.py:1296: UserWarning: 28.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1ec0038ddf0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.catplot(x='Species', \n",
    "                   y='petal width (cm)', \n",
    "                   data=dataframe, \n",
    "                   hue='Species',  # Color by species\n",
    "                   kind='swarm') # Swarmplot\n",
    " \n",
    "# Rotate x-axis labels\n",
    "g.set_xticklabels(rotation=-45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vU8XhA_ULhjh"
   },
   "source": [
    "## 9. Density Plot\n",
    "\n",
    "Density plot represents the distribution of a numeric variable that uses a kernel density estimate to show the probability density function of the variable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 296
    },
    "id": "Lz5tgkhGLsu9",
    "outputId": "487c1f03-5220-44b1-e031-a7c4d290fdce"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sepal length (cm)', ylabel='sepal width (cm)'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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jM3C0sJ69ObUcKqinVqkFTME7xtuRSE97Qt3tCXSV4e1k02VbpCAI1Kp0FNWryKhUcLqsiWOFDTS36HGylXJNrDc3DfU7p+Ly8aJ6HlyTzNIR/vxjYuhZX+ev6573xTEi5Pa8c11sv1zzSqaoXs32zCr25tSSUalAAESAj7MtgS4yPB2tcZFZIWvdPBgFAZXWSKNaR6WihZIGNaUNGvP3RXk5MCXCg5lRnudlmv1SxjLkdZlR0aThmY3ppJQ3c+MQXx6ZGHpWu2K9UeDnk6V8drAQgyBw24gAlozw79WO2CgIHC9qYEtaJbuza1HpDDjaSBkd7MqYYFdGBLr0y5St3ihwvKieDSmV7MyqRiIWcdNQP+4cHXjWvfX/+SOTLelV/HT7cAJd+8eZ7J09ufx8soytD4y2TPyeBUZBYE9OLasTSzhZ2gRAnI8jY0LcGOrvTJSXQ5/+3iqtgYyqZk4UN3Iov47k8mYAxoa4cvvIQIZcIZLcluB/GXG4oI4XNmWgNwq8MDOSaWfZv55ZpeD1bVmkVyoYG+LKk1PDe3VyqFNp+S25gl9Pl1PW1IKDjYRpEXKuGiBnWIDzec29ljaq+fJwERtTK/FytOG1q6POSle/Vqll/pfHmBjmzutzo/tlbemVzSxdeZJnrorg+niL2mdvEQSBvTm1fHyggPw6Fb7OtiyI92FGlLxfJTrKGjVsSqtk7aky6lQ6xoe68eTU8Mv+JGAJ/pcBRkHgm6NFfHawkHC5PW/OG3hWu1at3shXR0xdQc4yK56YGs70XqR48mqV/JBQyub0SnQGgeGBLlwX582kcA9sziEXfzacLmvi5S0ZlDVqeHxKGIuG9H3A6oN9+Xx/vJi1d47ol92/IAjc+F0iDtYSvr55yDlf70qgtFHNm9tzOFJYT4ibHXePCWRapPy8+iRodAZ+PlnGV0eKEIng+RmRTB9w+Q6ZWoL/3xxFi55X/shkT04ts6I9ee6qiLMqVmZWKnjpjwxya1TMGejJY5PDcO6hGJZZpeCrI0Xszq7BRipmbowXNw7xI8T94rp8KVr0vLwlk725tdw7Noh7+qiuWaPUcs0XR5kf58O/p4X3y5p+SCzhnT15rLx1KAO8+qeb6HJlY2oF/7czF5EI7h8XzA2DfC5ox05Zo4bnN5k65J6cGs6iIb4X7LUvJJbg/zempEHN47+mUlSn4p+Tw1g8xLfPQ1t6o8CKY8V8frgQV5kVz82IYHyoe7ffk1+r4pODBezOrsHBRsKNQ/xYPMQPF7ve5bONgkC1Qkt5o4ZqpZbmFj0anQEAa4kYZ5mpM8PfRYb7WRqi640Cr2/LYmNqJY9NDu3zANdLWzLYm1PL5vtGY2d97p0/TRod8z4/xpgQV96cN/Ccr3c5ojcYeWt3LuuSyhkW4MxLswbgc4EMhP5Ki97IsxvT2Z9by7vXxzI25PLzqrY4ef1NSSxu4Knf0wD44Iaz0+Ypa9TwwuYMTpc1cdUAOU9NC+92t1+j1PLpwQI2pFQgs5Jw9+hAbh7mj6Nt92+VOpWWE8WNnCptJK1CQU6NArXO2Ks1ejpYE+/rzIQwNyaEuvf4Wm1IxSKenxGJSmvgvb15hLrbMboPZvPXx/uwOa2KHVnVXBPr3evv6wonWytuGe7HF4eLSChqYHigyzlf83JCqdXzzIZ0DhfUs3SEPw+OD7moVpg2UjGvz4nijh9O8fq2LNbdOeKiCRJeDCw7/0uUTamVvLYtiwAXGf+bH0PAWeSld2ZV89q2LAQB/j0tnKsHdt2DrjMY+SGxlK+PFKE1GLlhsC93jQrsdqefX6tiV3Y1e3NqSa80yXTYSsVEezkQ6elAsJsdfi62yO1tWvv6Tcd6rd5Io0ZPRXMLhXUq0iqaSSxupEapxUYqZna0J7cO9yeolwbyap2BO344SZ1Sx+rbh+Fm17uThCAILPwmAReZFV/eNLhX39MTGp2Bm1YkYjAKfH/r0B7TalcKihY9j6xLIa2iiaenRzD/EiqKHyus56G1ybwye0C3n5G/I5a0z98IQRD49lgxHx8oYHigC/+dN7DXO+E2tHoj7+3N4+dTZcR4O/LanKhuO3mOF9WzfEcOhfVqJoa5889JoV0WQRvVOjanV7ExpYKsapNUR5yPE+NCXRkZ6Eq0l8NZ5W6NgkBqeTO/JVfwR0YVeoORBYN8eWB8cK+mZnNqlCxdeYIp4R596uD57lgxH+7PZ+0dw3t9s+mJ1PIm7vkpiUi5Ax/eEHfFT/0qWvQ8vDaZjCoFb8yNZmqEx8VeUjuMgsCMjw8zOdyD52dGXuzl9CuW4P83QRAE3tubz6rEEmZGyXlp1oA+a+9XNbfw9IY0ksubuXmYHw9PCOnyGo1qHe/szWNTaiX+LrY8MTWccV3kPbOqFPx4opRtGVVoDQLRXg7MHujF9EgP5P0kw9BGnUrL54cKWX+6HE8HG16bE8Ugv55bOr84VMjnhwv5uA/y1TWKFuZ+fpRbhvff0BfA3pwant6QTqCrjDfnDbzoBfKLhVpn4J+/pHC6rInl86KZFH5pBf42Fn5znBB3e/57zeVVqznr4K9QKFi/fj3Hjx+nvr4ed3d3xowZw9y5c7G3v3ACX1dC8DcKAv/dmcO6pHIWDvblialhfbZYTCpt5N+/p6HRGXlpVmS3GvZ7c2p5Y3sWjRo9S4b7c9fowE7znUmljXx1pIjDBfXYSsXMifHi+ngfIvtJG6c7UsqbeH5TBhXNLbw0K5LZ0d0fyVv0RhZ9cxx7Gykrlwzt9e/vyd9SSSptYsO9o/q1bfVoYT0vbMpApTNw28gAbh3uf0UZvqt1Bh5bn8LJkkZevfrcpEfOJ2qdgas+PsyCQT48Njms52/4G3FWwX/dunX88ccfTJo0iQEDBiCXy2lqaiIpKYm9e/cyc+ZMFi5ceN4WfSaXe/AXBIHlrYF/6Qh/Hp4Q0ueOns1plby6NQtvJxveujamSyE2ldbA27tz+S2lggi5PS/NGtCpyFlaRTOfHCjgSGE9bnZWLB7qx4JBPt1Orypa9OTWKClt1FDV3EJzi4EWvQGRSITMSoyrnTUBLraEe9j3eoCnWaPnyd9NjllPTw9nwaDuW/L+SK/ihc0ZvHZ1FDN7qd7ZJvnwzPRwru/h+n2lWtHC27tz2ZFVg5udFdfH+3BdvM8l53/Q3zSodTzxayrJ5U28MjuqX5VU+5sfT5Ty9u5cPr9x0GU3+XtWwX/v3r1MmjSpy2/s6fH+5HIO/oIg8P6+fFYmlHDbyAAeGh/cp8AvCAJfHi7i88OFDA904c250V0WGbOqFDyzMZ3iejW3jQzg3rFBHVJCVc0tfLA/nz/Sq3CRWbF0hD8LB/t2eipoUOk4XFjHscIGTpc1UVSvbve4lUSErVSCURDQ6AycocOFt6MN40LdmBXlySA/p25/Zq3eyFMb0jiYV8frc6O5qpuhHKMgcPOKRPQGgZ9uH96rbhJBELjrx1NUNrect46PpNJGvjlazKH8OkQiGB7gwqRwd8aFuuHn3D8SE5cKGZXNPLcpg4omDf+5Ouqsp9AvBKkVzdz/UxKD/Zx5f0HsOXlfXIqcc85foVDQ0tJi/n939+57xPubyzn4f3+8mPf35bNwsC9PTg3r05vvzFTRnBgvnrsqosv8/oaUCt7ckY2TrRWvzYliWIBLu8f1RoEfE0v44nAhBqPJ9OS2kQEdipWKFj3bM6vZllnNieIGjAI420oZ5OdMrI8jYR4mATcvR5t2KQ6jINCo1lFUryazSkFCq+ZKi95IhNyeO0cFdismp9EZeHhtMumVzXx502Civbp+U+/KquapDem8enXvd5yJxQ3c//Np7hkTyL1jg3v1PWdDSYOaDSkV7MiqMd8sA11lDPZzIsbHiRgvR0I97M6b8fz5pKJJw6rEUtacLMXVzpo350X3qlZzsThcUMdzGzNwtJXy1eJB/SYhfilxTsH/3//+N4mJiTg5OSEIAiKRiPXr1/f7Irvjcg3+2zOreXZjOlcNkPPanKg+5fgNRoH/bM1kc1oVS0cE8PCEzk8MeqPAu3ty+elkGcMDXXh9TlSHVsjsagWv/JFFZpWCCaFu/GtqWIfdaG6Nkp9OlrI5rYoWvZEgVxnTBsiZGOZOlKfDWfVrq7QGdmRV8/3xYgrq1Azxd+bZqyII7qLrpkGl49aVJ5CIRaxaMrTLLhqjIHDLihPoDMZe7/4Bnt+Uzo7Maj5fPJj4PkpZnw1F9WoO5tdxrLCe5LImGjV6wHRiCnW3J8zDjiBXOwJdZfi72OLvIrvkOocqmjQkFDewN6eW/bm1CMC8WG8emRhyyQrcNah0fHG4kJ9PlRHqbse718detEGz8805Bf+FCxeyZs2afl9UX7gcg39GZTN3r04iytOBjxbG96nQaDAKvLQlg60Z1dw/Loi7RncubXDmUM3Nw/z4x8RQpGcEQqMgsPJ4CZ8cLMDJVspT08KZEtF+951R2cyXh4vYm1uLjVTMrChP5sd7E+Pt2OnNRhAENHojGp0BSatJS0+7WEOrgcyH+/PR6o08PyOyy3z96bIm7l19ilnRnrw8O6rLa7bt/v9z9YAeC8VtNGv0LFl5ArXOwFc3DT5rieyzQRAEShs1pFU0k1GpILtaSV6tkiqFtt3znGyl+DjZ4u1og6ejDe72VrjZWeMqs8JFZoWTTIqTjRRHWyusJaJzSmMIgoBaZ6RRo6NOpaNG0UJlcwuljRoK69RkVyvM65M7WDNjgCeLhvhesmJpFU0a1p8u56eTZah1BhYM8uWRiSGX9WDXOQX/V199lVtuuYXQ0P5rg+srl1vwb1DpWLrqBEYBVtw6pNdDSWD6QL6+LZvfUip4aHwwt48K7PR5dSot/1yXQna1gqemR3DdX4ZqGlQ6XtiSwZGCeqZEePDs9Ih2A10VTRo+3J/P1oxqHG2k3DTUj4VDfNsZY7TojaSUN3GipJHMSgX5dSoqm1to0bef7HWVWRHsJiPa25GxwW5dqn9WK1p4bmM6J0ubur2pfXKwgK+PFPHu9bFdtqYaBYFbvz9hEvK6fXivZw/ya1Xcs/oUUomYd6+LIaqb9NKFQKU1UNKgNmnUN2oobdRQ3qShoqmFGqWWptbTQmdIxSLsrSXYWkmwlYqxkYqRSsRIxSIkIhCJRAiA0ShgEAR0BoEWvYEWvRGV1oBSa2hnrtOGjVRMgIuMcLk9sd6ODPZ3JlJuf0nmy2uUWg7l1bE9s5pjRfUIAkyO8OD+cUF/O0vSs+Gcgv8777zD999/j53dn0fxAwcO9N/qesHlFPyNgsBj61M4XtTAl4sHM7CPRugfH8jnm6PF3Dk6kAfGBXf6nGpFCw+uOU15UwvL5w1kXGj7AJlVpeBfv6ZSp9Lyrylh7Uze9QYjKxNK+PJIEQC3DPNjyYg/c/96g5H9eXVsy6jiYH4dap0REaa8dZiHPT5OtrjaWSGzEmMQTDWCquYWcmtUZFUraNEbcbaVMj/eh8VD/fD4i66PzmDktW1ZbE6r4r6xQdzdiWCbVm/k1u9P0GIw8tNtw7rcue3PreXxX1P7LNyVV6vkkXUp1Ku03D8umJuG+l2yNoFavZE6lZYGtY4GtY4mjZ4mjZ7mFj1KrQFlix613kiLzojWYERnMKI3ChgFgbZPvrj1ZmAlEZtvEjIrCfY2plOEs0yKi8wauYM1ng7WuNtbX5KB/szT0+ky06Yku3UQ0dfJhlnRnlwb53PJnkzOB+cU/BcvXszKlSuRSi9ervFyCv6rEkp4d28e/54WzsLBfWsr/C25nNe2ZTM/zptnr4ro9ANYo9Ry/09JVCu0vHN9DEP9Xdo9fjC/jmc2pOFoI+X/ro1pd/PJr1Xx0pYM0isVTA53519TwswtmQ1qHWtPlbGmVQ/dzc6KyeEejA0x7eR7k4tuc/zamFrJvtxabKUS7hodyM3D2gdXoyDwn61ZbEqt5LmrOpcCSChq4IE1p7l3TBD3jO38hCAIAg+uOU12tZJ1d47ok9RCvUrL69uy2ZtbS6CrjNtGBjBjgPyyThH8XdAbBcobNRQ1qCmsU1FQpyKvRkVOjRKl1iQeaCMVM8jXieGBLowNcbtkTybnm3MK/k8//TSPPfbYRfXavVyCf1aVgttWnWRciBv/d+3APr0ZT5U0cv+a04wIdOGd62Lb5e7baNboue/nJIrr1XywIK6D0cnW9Cpe2pJBuNyBd66LaTeZuym1kjd3ZGNrJeGZ6eHmATGV1sCqhBJWJpSg0hkYF+LGgkE+jAlx63QNvaW4Xs27e/PYl1vLIF8n3pgb3a73XW8UeOyXFBKKG/jypsHEdHJCemZDOvvzavnlzhFd9s1nVyu49fsTXBvnzbNX9W10XxAE9ufV8dnBArKqldhbS5gS4cHEMHeGBThfsgXNywWDUSC/VkVmlYLcGiUFdSoK603pL8MZ6ShnWymh7naEetgT6elAjJcjYR52l+xp7UJyTsH/qquuoqysDFfXP8flLWmfvqMzGLlt1UnqVDpWLx3Wa2lkMO3ml3x/ApmVmO9uGdqp1o/OYOSRX1I4VdLIO9fFdFC33JxWyctbMhni78z/5seYd+oGo8C7e/NYfaKUof7OvD4nytzytjenhv/uzKFKoWVKhAf3jg0ivIvhMb3BSHVbDloAWysx3k62PRayt2VU8dq2LBxspHx8QzzBZ8ggNKh1LPn+BFKJiB+XdkzvlDaqWfhNArOjPXlh5oAuX+O9vXmsTCjh/QWxjOmD6mcbgiCQUNzA5rQqdmfXmHeXQa4yBng6EC63J8hVRoCrDB8n20uuI+fvhKJFz86savbn1pFQ3GD+XVtJRAS6yghs7X4KdJER6CojyE2Gax9qZlca59znr1KpsLOzo7Ky8qKcAC6H4P/pwQK+OlLEW9fGMCm893MSBqPAw+uSSS5r4tubhxAu7zz4LtuezS+ny3l51gDmxLT/G+3KruGZDWkMDXDhnfkx5iDaojfy/KZ09uTUctNQPx6ZZOoGUmkN/HdXDptSKwnzsOOZ6REd+rV1BiNHCuo5XFDPyZJGCupUHYqDbbWA0cGuTI30YIifc6ennexqBQ+vTUYiFvH1TYPbTf+29d8vGe7PI5M6Nh28vTuXn06W8tPtw7tsEdXoDCxddZImjZ5VS4aetX8AmG5yp8ubSCptIqW8mexqBeVNLe2eY2clQe5gjYeDNR721rjZWeNmZ4Wbfeu/7f7899l4L1+OCILAmlNlfHaokCaNHm9HG8aGuDHIz4loL0cCXGXndNK8Ujmn4P/hhx+iUCh4+umneeSRR4iNjeXee+/t90V2x989+GdXK1iy8iQzBsj5z9Vdtyd2xopjxXywP5/nZ0RwbVznMri/ni7n9e3Z3DYygIcnhLR7LKm0kQfXnGZAa0up7IzA/+RvqRwuqOdfU8JYPNRkhVhcr+bxX1MorFNz5+hA7h4d2O74XNXcwo8nStmQUkGjRo+tVMxgP2ciPR0IcLHFWWaFWATK1i6V1Fa55ha9kShPBx6dHNphwAwgp1rJ3atP4etsy7c3D2kXFF/dmsmmtCp+7sRwvU5l8uMdH+rOG92oeWZXK7jjh1NEyO35ZGF8v+bulVo9RfVqiuvVVDa3UKXQUq1ooUahpValpU6pQ9VqZPNXHGwkuNlZ425nhbu9qXVT7mCD3MFUYPVytMXL0eaCW2VeaD7Yl8+K48WMCnLh/nHBXbYSW+gb5xT8r7/+en755Rfz/y9evJjVq1f33+p6wd85+BuMAvesPkVxg4Y1dwxv1yrZE5lVCm5fdZKJYe68OS+60w9DTrWS2384yWA/J967Pq7dQFNlcwtLV57AzlrCNzcPMb+2wSjw9IY09uTUtiuoplY08891yQAsmxfdThlTpTXw1ZEifkgswSgITI3wYG6MNyODXHrs49foDPyRXsU3R4soa2rhpqF+/HNSaIfhq7bunKUjAvjHxD9vYm2G65PC3XltTscA/9H+fL47Vszq24d12763O7uGp35PY2yIG2/Oi76gxVuNzmC+EdSptNSqdNSb/19HrUpLrdL0T1uq40xcZVZ4Odrg7WSDt5MtPk42+Dnb4uciw9/Z9m9diM6rVbL420SuifXmuRmdNzJYODvOyclLJBKh1WqxtrZGp9PRGwVog8HA888/T35+PhKJhGXLlhEY+Gc/+jfffMPatWtxczPlX1955ZWLOkdwPvnpZCnJ5c28enVUnwK/3mDklT8ycZZZ8UwXnT0teiPPbUrH3lrCK7Oj2gVTvcHIMxtMCp+fLhrU7rXf2ZPLnpxanpgS1i7wP7TmNM4yKz5YENduh51U2mhW15wb48XdYwL7pEdjayVhfrwPs6I9+XB/Pj+eKKVWqeXVv0w1TwhzZ16MF6sSS7gm1susr+9ub80Ng335IbGEB8eHdGjVu2W4Pz+dLOXbo8XdnqymRHjwzFURLNuezUNrk/nvNQPPKQXUF2ytJPg5y3r1e1NpDVQrWqhStFDVrKWiWUNls2nAqrBezdHC+g4uaV6ONvi72BLgIiPIzY5gNxkh7nb4ONn2WR32QnOypBEBuHN0oCXwX0B6DP6LFy9m3rx5REZGkpeXxz333NPjRXfv3g3A6tWrOXr0KMuWLeOTTz4xP56amsry5cuJjY09h6Vf+lQ2t/DZwULGhrgyM6pv4lYrjpeQXa3k/64Z2OVN4/NDBeTVqnjv+tgOQezzw4UklzfzxtzodlryG1Mr+OlkGTcN9ePG1lRPQZ2Kf65Lxllmxec3DsLrjM6ZX5LK+O+uXLwdbfhy8aBz0mqxtZLwxNRwPOyt+ehAAf6usg6zCg9NCGFbZjXfHivmpVl/FnFvHGIK/r8ml/Pg+PapLReZFdfF+/DTiVLuGxfUbYC9Lt4HJ1spL23J5OYViTw+OYwZUfJLKujYWUsIcrPr0lxGEAQa1XpKG9WUNGgoblCb/qnXsCenlgZ1hfm5MisxYR72hLnbEy63J8rT5LLWH57F/cWlfnO6XOkx+C9cuJBp06ZRXFxMQECAebfeHdOnT2fy5MkAlJWV4eHR3sAhNTWVzz//nOrqaiZPnsx99913dqu/xHlrVw4GQeDJqeF9Ci4FdSq+PFLI9Eg5k7twPUqtaGZlQgnXxnl3MJ5OLmviu2PFXBPr1U4Bs6BOxfIdOQwLcDYXTxUtep74NRWRSMRHN8S1C/wrE0p4b28e40Pd+M/sqD47inXFbSMDKKhX892xYmZHebbr8HG3t2ZujBcbUyv515Qwc+eMt5Mto4Nd+SO9igfGddQxumWYPz+fLGPl8RKemh7R7etPi5QT5GrHf7Zm8vzmDL47Xsyiwb5MDvfoUxfWxUIkEuFiZ4WLnRUxPh01iBrVOlPve62K3BolOTVK9uTU8FuK6aYgFkGIux2x3k7E+DgyyM+JEDe7i3YDbGvjPZhf1+fZFwtnT5ef5hdffJFbb72VyMhI3Nzc2gX99PR0fvzxR/7zn/90fWGplKeeeort27fz/vvvt3tszpw53HzzzTg4OPDwww+ze/dupkyZ0g8/zqXDnuwa9uTU8sjEkD5pxLRp+9tKJTwxtXNjCb1R4PVtWbjbW/PoXzpgtHojr27NwtPBpp0xhcEo8MofmdhIxbx6dZS5c+LNHdkUN6j5eGF8u3VuSKngvb15TI+U8+rVA/q1Z1okEvHPiSHsyKxmVWIJz81o338/K8qTdUnlHCmoZ/oZN69pEXJezc8iu1rZwUzG09GG2dGebEit5L5xwT2m2MLl9nxz8xC2pFey4ngJr2/PZtmObCLlDgzwdMDPxRZ3e2scbKTYSMSIRKbfoc5okqfW6EzyB20yCEqt3vzfap0Bjc5Ii8GIVm+aqjUItEuZSsQipGIRVhLTRK2tVIK9tQR7GwkO5slaK1xlVrjaWeFubyoAu9lZ9yhU5yyzYpCfc7tTmiAI1Ci1ZFYpSKtoJrWiud0NwUVmxfAAZ0YEuTIqyOWCykxHyO2J9nJgVUIJ18Z6WzqgLhBdBv/HH3+cd999l5SUFEJCQvDw8KCpqYn09HTi4+N59NFHe7z48uXLeeKJJ1i0aBGbNm3Czs4OQRC47bbbcHQ03e0nTZpEWlraZRX8VVoDb+3OJdzDnptaUyu9ZUt6FQlFDTw9PbzLfPTPJ0vJrlayfF50h57yVYkl5NepePe62HaPrT1VRkpr7aFtuGt3dg1bM6q5d2xQuw6crCoFb+7IZkSgS78H/jZc7ayZGuHBnpxanrlKaHf0j/V1wlYqJqmsqV3wHxVsKkAnljR26iR283B/NqRWsv50OXd0oXl0JhKxiLkx3swZ6EVGlYL9ubUklTaxN7eWBrWuVz+HCFOaxs7aFLxlVqb/dre3xtZKbA7wUrEIsUiESGSaYDYaQW80ojUItOiNqHUGFFo9lc0tNLfoadLo0Bo61tckIpA72ODjbIuvsy3+zia1T1MPfNeqnyKRqLWLyIbxoaZWY0EQKKpXk1TWxIniBo4XNbAjqwaAEDc7JoS5MzncnRgfx/OamhGJRDwwPphH1qXw9dEi7u9CtsRC/9Jl8HdxceHll19GoVCQlJRktnF87rnn2un8dMavv/5KZWUl9913HzKZDJFIhERiyjEqFArmzp3L5s2bsbOz4+jRoyxYsKB/f6qLzCcHC6hqbuH1OVF9CpxNGh3v7skjzsexgxBbGzWKFj4/VMiYYFem/CUlVNGk4esjRUyJ8Gin51On0vLpoQJGB/1Ze1DrDPxvdy4RcnvuGBlgfq7eYOTlPzJxbNX9P59TkoP9ndmSXkVFU0u7Iq5ULCLE3Y7CuvYdXl6ONng6WJNe0dzp9cI97Bkd5MrqE6XcNNSv1x0wIpGIaC/Hdh4BGp2BGqUWtc6AVm/EKJg0cKzEImytJMisxNi1BvvzERjb1FHrW7uCapRaqhVaqhQtVDS1UNGk4VhhPZv+ovrp6WBNmIc9EXJ7IuWm/H6gq6zT04JIJDLXFq6J9UYQBArr1BwurOdAbi2rEktYcbwYTwdrZkR5Mjva87zZd44JduPqgZ58c7SIof7OjAzqnQezhbOnxySug4MD48aN69NFZ8yYwTPPPMMtt9yCXq/n2WefZdu2bahUKm688UYee+wxli5dirW1NWPGjLlgjmAXgrSKZn46UcqCQT59Lo5+erCQRo2OD6bFdRlQPtyfj9Zg7LSO8OH+fIyC0CEV9MWhQtRaA/+a8qdZzA+JJVQ2t/Da1e0D/G8pFaZTxTUD+6Q2eja4tqZmmjS6Dh08LjIrs779mQS72XVwDDuT20cFcP/Pp9mYWskN55A/trWSXFBJ579isr6UIHOWdCtEptEZKG3UUFSvpqBORX5rnj+huAFd68nBzkpCtLcDcT5ODPJzIt7XqVNpCpFIRLC7HcHudtw01I9mjZ4D+bVsz6jmxxOlrEwoIUJuz3XxPsyO9uz3SeZ/TwsnvVLB0xvS+fKmQVeE6ubF5LzModvZ2fHee+91+fj8+fOZP3/++Xjpi4reKPDmjmzc7K156C/DVj2RUdnMuqQybhjkywCvzndXqRXNbGo1bwn4y7BTemUzWzOquX1kQLtgUdKgZn1yBfPjfcyFVUWLnpUJJUwKc2+n/6M3GPnmaDHxvk5M6cMU8tnS3GIK7vbWHd+GgmBKqfwVuaMNBYX1XV5zqL8zcT6OrDhezLVx3hfFEUsQBOpUOrMMc2VzC9UKUw9/o8akvKnSGtDoTTUBQ6vKplgkQiIWYSURmeoAVhIcrCU42kpxtjXl/j3sTZPDXo42eDva4uloY+rm+Yvshs5gpKDOpIuTXqEgubyJ7xNK+PaYgAiI9HRgRKALo4NdGeLn3Gme3dFWyuxoL2ZHe9Gg1rE9s5rfkiv4784cPtyXz7xYLxYP9eu3m6S9tZR3r4vljh9O8o+1yXx246CLegO+3LGIkPQjP58sJb1Swetzovq0K2qzY3SRWXWZ7xQEgf/tysXd3po7RgV0ePyDffm4yKy4bWT7x74+UoRULOKu0X/mwNcllaNoMXD3mPZ58b25tVQ2t/DvaX3rTjpb0iuasZWK8elkZ1ur0rbrPGrDwVrS5bQsmHavd40J4tFfUvjpZBm3Dvfv1zX/Fb1RIK9GSVpFM5lVbSYsKvONrQ0nWyludibDFW9HG+xtpMisxFhLxEjEIkSIEBBMReVWXX2VzoiyRU+9SkdBrYo6lQ7NX7wSJGIRvk42BLraEeQmM7d0mlI/DkTIHZgbY3quRmcgtaKZEyWNJBY38NNJ025eZiVmZKArk8LdmRjm3qn6qYvMioWDfblhkA9pFc38fKqMdUnlrDlVxtQIOXeODiBCfu4pIV9nWz68IY4Hfj7NfT8l8dFf9J4s9B89Rqjk5GTWr1+PWv3nUXvZsmXndVF/R87MxXdnMN4Zm9MqSS5v5sWZkV22U27PrCa5vIkXZkR2uLEcLazneFEDj00ObfdYWaOGzWmm9EdbkVdvFPj5ZCkjAl06GJVsTK3E08G6S4OU/kRvMLInp5ZRQa4dNFt0BiOFdSpGBnbM+4pEInqaMxwb7MrEMHc+PVjAmGDXDrvic0GjM5Bc3sSJ4kZOlTaSWtFsHriyt5YQIbdnRpScIDc7Al1k+LmYXLf6awJXqdVT3aylsrmF8iYNZU0aius1FNarSChuMBvpSEQQ6mHPQC9H4nwdGeTnTJCrjGEBLgwLcOGeMUGodQYSiho4lF/Hvtxa9ubWIhGLGB3kyqxoTyaHu3dYt0gkIsbHiVd8nHh4QgirT5SxLqmMHVnVTI3w4IFxweccrCPkDnyyKJ6H1yZz9+pTvH1d7AWx1bzS6DH4v/zyy9x6660devUttOfdvXld5uK7Q9Gi54N9+cT5OHYQZGtDqzfy0YECIuT2HZ4jCAKfHizAy9GGGwa1z3H/kFiCSCRqt/vdn1tLlULLv6e174Vv0Rs5XtTA/Djvs/Lj7StbM6qpUWqZH+/d4bHk8ia0BoF4v44f+Ba9oUedG5FIxDPTw7nl+xM88Vsq718f1yFN1lt0BiOp5c0cL24goaiB5PImdAYBscgUpObFeBPn60SMtyN+Lt1P02p0BkoaNJQ0qKloNjlx1atMSqhKrak91NQWakrNSMQirCVibK3E2FtLzekfd3tT+ifYzY6xIW54OFgjFokwGE1mJtnVCrKqFKRVKtq1c7rZWTE8wIWRQSaNe7mDDRPC3JkQ5s6/p4WTVqlgV1Y12zKqeWFzBvbWEmZFe3JdnE+nqUi5gw3/mBjCbSP9+TGxlB8SS9mTU8M1sd7cNy64g1FPX4iQO/Dl4sH885dkHlxzmpdmDejzpspC9/Sq4HvdddddiLX8bUkoamBrRjV3jw7sc5D56kgR9Sod714f22Xg+PlUGWWNGj5cENchMB/KryelvJlnropol7dt0uj4LbmCmdGe7VQyf0+pQO5g3cHdK72imRa9kRGBLn1a/9nQpNHx8YF8or0cOgyoAezKqsFaImJUUMe1NGv0OPYipebhYMNb18bw2PoUbv/hJPePC2bOQK8eJ1sb1TrSK01OUKdKmzhd1kSL3uRWNsDTgUWD/RgR6MIgP6duU3ttKZbksibSKxVkVSsobdBw5qFFKhbhameFk60Ue2tTGshZJkUsEiEIJmtFrUFApTVQpdDSrNHToNZ1UE+1kYrxd7ElxK1V017uwPWDfHnA0cbUwVOv5mRJIydKGkkoamBbZjUAUZ4OTAp3Z3qknGB3O2K8HYnxduShCSGcLGlkQ0oFG1MrWZdUTryvE7cM82NSuEeH96CTrRX3jQtm0RBfvj5azJpTZWzLqObO0YHcNNTvrPv2A1xlfHXTYJ78LY1nN6aTXa3gvrHBF2RzciXQ5bu3TbPf0dGRTz/9lJiYGPOOdvz48RdmdX8DDEaBt/fk4uNk0yHf3hMlDWp+OlnKnBivdm2GZ6Jo0fPN0SJGB7ua+9zbEASBLw4X4utkw7y/nAh+PV2BRm/k5jPmDBrUOpOZ+1C/DqmWjCoFQJ9tJfuKIAgs255NrVLLf6+N6XDD0+gMbEmvYmKYR6eF4NpWF7HeEOfrxLe3DOHlLZn8d2cOH+3PJ97XiVB3e5xlUkSAptUGsbyphYJaFRXNJnlmEaZBsPlx3gwLcGGov3O3TmCCIJBXq+JAXh1HCupIKmsyd9v4u9gywNOBq6O9CHKT4e8iw9vJBleZFQKmv0uNwmTFqNAaUGsNaA1GjK0nAKlYjLXU1FrqYC3BSiLCKJgK5hVNLRQ3qCmqV5NRpWBnVo35BiN3sCbOx4kh/s4MD3BhfpzplJVbo+JAXi37cuv4/FAhnx0qJEJuz9UDvZgV7YmHvbU5PfSvKXo2pFbw88kyntqQbnY1uzras0MbsKudNf+aEsbCwb68tzePD/fn83tKBf+eGt7hvdtbXO2s+XhhPP+3K4dvjhabZ1UulCbT5UyXwX/Tpk2AKfgXFhZSWFhofswS/P9kQ2tr5Otzovqc1/1wfz5SsYgHxwd3+ZyVCSU0afQ8PL5j99CxwgZSK0y7/jO7WgxGgbVJZQz1d27Xl70nuwaDUWBGJzpDxfVq7K0l53RU7w3fHitmR1YND08I6dSd6/eUSpo0ehYO6XzOoVapJbIPhUV/FxlfLB5EcnkzG1IqzAXPM03m3exMipmD/JxY4GFPdOsOuKeivSAIZFYp2J5Zza7sGkoaNIBpYnXRYD+GBjgT7+tknjaubG4htaKZvTk15NaoKKpXU9qo7nSYqzfYSMV4O9rg52JLoKtpKMvf2RYQyK9Vk1xuOrnsyjYNbrnbWzM22JUJYe4sHurH7aMCqVa0sDOrhq0ZVeaAPSnMnUVDfBnq74yjrZSbh/lz4xA/9uTU8M3RYl7dmsVXR4q4b2wQM6M8O+zEA11l/G9+DIcL6vi/nTk8vC6ZmVFy/jUl7KyMV6ylYp6bEUmcjxP/3ZXDzSsS+c/sqLO+oVgw0eW7u62ou2bNGhYuXGj++ooVK87/qv4maHQGPjtUSLyvU5/zkWkVzezMquHu0YHt7BTPpEGt48fEUqZFenSac/3ueDFyB2vmDmy/6z9SWE95UwuPTGzf778npxZfZ9Mu9K/UKLV4Otic1y6ftafK+PhAATOj5Cwd0bELR6Mz8N2xIgb5OjGkixmJBrUO1z7q74hEIuJ9ndoVDVv0RgRBwFoq7vOQVnmTqZC+Ja2Kwno1ErGIEYEuLBnuz/hQd7OlZKNax5GCeo4U1pNY3GA2fZGIMHfnjAt1w8vRpN/vIrPC0UaKzEqCtVSMRARGAQyCaQpYpTWYUz+1Ki1VzVrKmzSUNmo4UVxu7gQSiyDMw554XyceGh9CgKuMnBolRwrq2ZNTy4bUSmylYiaEuTM72pMbBvuyeKgfBbUqfkupYENKBbuya4iU23PbyACmRcqRiEVMi5QzNcKDg/l1fHqwkJe2ZLIqoYTHp4R16tEwJtiNH28bzrdHi/j2WDFHCup5cmr4WQvpXRPnzUAfR57dmM7D65K5ZZg/D44PtshBnCVdBv+NGzeya9cujh49ypEjRwAwGo1kZWWxdOnSC7bAS5m1SeXUKLW8Mbdzrf3u+PxQIc62Um7pphVx9YlSVDoD94zpaFCeVaXgeFEDD08I6fDm35BSgYvMqp1jmEZnIKHYVNDtbK1qnQHZeVJ6FASBVYmlvLc3jwmhbrw8a0Cna/jxRClVCi3/uTqqy9+nWmcwG9KcC301R1Fq9ezOrmFTaiUJxY0ADPF35ubh/kyN8DDv7utUWtaeKmNnVjUnSxoxCCaP2aEBLtw0zJ84H0ci5A7YSMVodAZya5Tk16nIqjI5gtUoW9M/LaZZAL1RMM08iExrlllJcLKV4iKzQu5gTbiHPZPC3QlylSGzklDcoCa9UkFqeTN/pFexLqkcMNUrxoe6sWS4H00aPbtzatmRWc32zGrkDtbMi/XmhkE+/HNSKPeNDeKP9CqT7tKmDD47VMi9Y4K4KkqOWCRifKg7Y0Pc2JZRzUf787n/59PMGCDnscmhZgvQM3/P940LZvoAOa9ty+L5zRnsyKrmmasizmqIMNzDnhW3DOHdvXmsSizhaGE9/7l6QL+0mV5pdBn8J0yYgFwup6GhgRtvvBEAsVhMQEDf8tqXKxqdgZUJJQwPdGGIf98medMqmjmYX8eD44O7TC2odQbWnipjcrh7p62Ka06VYSMVc91fumUULXr259ZyXbxPu1RQSrmpoDu6i6OyRCxCbzB2+ti5oDcYeXdvHj+dLGN6pAevzO5cMqKquYVvjhYxKcy9011kG1KxCN15WGdn6A1Gjhc3sKXVu1ejN+LvYst9Y4O4eqCXeZhOqzeyI7OaTWmVHM6vwyBAsJuMpSMDmBjmTrSXIxKxiAaVjuPFDWxMreR0WRN5NUraMj4SkUmczsPeBl8nWxxspcikYqxaReWMgul1lFo9Ta27/+xqJTXKP+Ud2mwzB3o7Mincnccmh6LSGTje2s75zdEivjpSRJCrjKsHerHi1iFkVyv5NbmCb44U8d2xYmZGybl9ZCDz4324Js6bPdk1fHG4iOc3Z7AqsYTHJocxxN8ZsUhkbgddcbyY744Vc6igjkcmhna6wQjzsOfLxYNZlVDCZ4cKWPxtIs/NiOyTpWkbtlYSnp4ewfhQN17dmsXSlSe5d2wQS0YEWKwe+0CXwV+pVBIQEMBrr73W7usGQ9cDNlcSm9MqqVVqeX1O32wZwZTHd7CRdCtf+0d6FY0aPTcP63gyUOsMbMuoZsYAeYcx/YN5dWgNQoc0VHJ5E0CX/dLudtaklneumXO21Cq1PLsxnRMljdw8zOTe1VWK5d29eRiMAo9O7t7Ux9fZlrxaZb+u80x0BiOJxQ3syq5hd7ZJ4M3RRsrsgZ7MGehFvK+TObDl1ij5LbmCzWmVNGr0eDpYc8vwAGZHexLmYZJILmlQsyqhhL25tSSXNSFgmgeI9XFkwqhABng6EOpuh7+z7VnpKLXojZQ1aiioU5FToySzUsGxoga2pFcBJj2k8aFu3D06iFAPO/bn1rI1o5pPDhbw+aECJoV7cPvIAP41JYyfTpbxW3I5W9KqmBXtyf3jgpnaKiv+R3oVH+3P596fkpgz0JN/TgrF1c4aWysJ944NZla0F29sz+KN7dnsyq7hxZmRHdKZErGIpSMDGBvqxkubM3jit1Suj/fhscmhZzUHMT7UnZ9uG87yndl8fKCAfbm1vDRzgGUorJd0Gfwfe+wxRCIR9fX1KJVKIiIiyMnJwcPDg/Xr11/INV5yCILA6pNlRHs5MLSPu/4apZZd2TXcOMS324Li+tPlhHvYM7iTXvf9ubWodAbmxnacCziYX4eLzIrYv+i859Yo8Xa06VTTBUxFyt9SKihtVPeLnO/+3Fpe3ZqFSmfgldkDuHpg5zMMAEcL6tmeWc29Y4J6HOcfF+LGqoQScqqVXZrZ9wVBEChr0nC8sIHDBfUcLaxHqTUgsxIzIdSdGVFyRge7mdNEKq2BHVnV/Hq6guTyJqRiEZPD3bkmzpuRga6mHb5ax5pT5WxJrySl9YY6wNOBu8cEMibYjWhvx3Y7VEWLnqSyJnJrlBTVq83pn3qVydKxRW9EbxSQtvb921tLcG5N+3g72hDgaprsXTjIFxc7KwRBoKRBw/Gieg4X1LOptV3Tzc6KOQO9eG5GJGIR/JJUzu+t+f1hAc7cNzaYu0YFsuJ4MT+3pq5uHRHAHSMDuHqgF1MjPPj6aBHfHy/hUH49T18VwdRWccFAVxkfL4xn7alyPtiXx03fJfLirAFMDOu4sw/3MMlpf3qwgJUJJZwoaeD1OdFnJRrnYmfFsnkDmZJRxX935nDryhM8MC6YxUP9LC2hPdCjh+9DDz3E8uXLcXBwQKVS8fjjj/Ppp59eqPUBl56H7+myJu768VS3pupd8f3xYt7fl8+a24d3uUMprFNxwzcJPDoptNOawHMb00kobmDL/aM77KSv/eIoA70dWTZvYLuv37P6FGKRiM9uHNTpa5Y0qLnuq+PcPy6Iu0Z3rDH0lnqVlnf25LElvYoIuT2vXh3V7YStRmdg8XeJSMQiflg6rMdcfINax8JvErCSiHim9ejfl3pLk0ZHTo2SjEoFyWXNnC5rpKpVGdOzdf5hfKg7IwNdzLtRoyCQVNrExtQKdmTWoNIZCHKVMT/ehzkDPXG1s8YoCBwvbODX5Ar25tagMwhEyO2ZFeXJ9AHydnpLihY9x4oaOF5Yz4mSRvJrVeb2TDsrk5Cb3MEaVzsrHKyl2EhNEhAGo6nwq9TqaVDrqVa0UNakQdHy52k80FVmVsUcE+yKg40Ujc7Aofw6tqRXsT+vDqNRYGKYO7eNDCBcbs/60+WsOF5CrVLLlAgPHp0UilQs4oP9+fyRXkWAiy0vzhxg1oHKqVHynz8ySa9UcG2cN09MCWu3cy+oU/HcxnSyqpUsHeHPA+NDukzHHCus56UtmTRpdDw6OYwbBvmcddNBjVLLG9uy2J9XxxB/Z16aFXlBfQkuRc7Jw7eiogIHB9Md2c7Ojqqqqv5b2d+UbRlVWEtM3Q99/95qBno7dns03ZdbC8C0yI5T1YIgkFDcwKgg1w6BX9Gip6yppVM5aKXWgI9T1+qQ/i4yxoe6seJYCRPD3PtcQNPoDPx0soxvjxWh0Rm5c3Qgd40K7LET4+ujRZQ2avhkYXyvirAuMis+vCGOFzZn8PivqXg72jAs0IUgV5lJQ7/1Gi16I80teupUOqqaWyhr1FDSqKH2jBy5qb3TmSH+zgz1dybU/U83K0EQyKxUsC2zmu2ZVZQ3tWBnJWFapAfXxHozyM+U/qlqbuGrI4X8nlxBWVMLzrZSro/34ZpY73Y72XqVlt3ZNezKriGhuBGDUUBmJWaQnzNXDZAz0NuRcA975A7WfQ5+9SotOTVK0isUnCptNJ1MkiuwlogYG+LGvFhvJoZ7MDVSTo3SVJBee6qMvT/WMjncnX9MDOX6eB9+SCzlm6NFHM6v4x8TQ3hl9gCuifXita1Z3PtTEnePCeSu0UGEe9jz9U2D+exQId8dKya9opm35seY31/BbnZ8c/MQ/rc7lxXHS8ioVLBsXnSnp86RQa78sHQoL/9hmsU4UdzIczMizkox1MPemv/Nj2FDaiVv787l5u9O8MTUMObGeF1SNp2XCj3u/N955x0SExOJjY3l9OnTzJw5k9tuu+1CrQ+4tHb+giAw5/OjxHg78n/XxvTpe6sVLVz92VEenhDS7UDYo7+kUNao4ec7hnd4rLK5hbmfH+XJqeEsGtK+ZpBXq+TGbxN57eooZkZ7tnvsjh9OYmcl4aOF8V2+blVzC3f8cBK9UeA/V0cxqhea6mWNGjakVLA2qZwGtY7xoW48MjG0nW9wV+TWKLnl+xPMivbk5TP8enuDVm/kj/QqDhXUcbKkkTpV5+YrErEIub01Pk42+LuYTM1D3e0Z4OXQYaZBbxRIKm006dzk1FLaqEEiNk0az4zyZEqEBzIrCTqDkf25tfyeUsnhgjqMAgwPdOG6OG8mh3uYb3ganYF9ubVsSqvkaEE9BsG0M58c7s74UHfifBzPi1+C3iiQWt7EjqwatmVUUacySWYvHeHPvBiTU5ZKa2D1iVK+O1aMzmjknjGmgmmNooU3tmdzuKCecSFu/OfqAUjFYv67M5tNaVWMDXHl9Tl/mggdzK/j+U3pWInFvHt9bIchwd+TK1i2IxtfZ1veuz62y7SeURBYcayYTw8W4Oci4/+uHXhOks7lTRpe3pLJiZJGpkd68OxVXetmXc50t/PvMfgDZGdnk52dTWhoKFFRfS9wniuXUvDPrlZw84oTvDAzkmtiO+rSdMcf6VW8sDmDFbcO6XKiF2DmJ4cZG+LWzsC8jcTiBu7/+TQf3hDXITinVzazdOVJ3rp2IJPC258antuYTlJZExvuGdntLqigVsXjv6ZQ3KBhqL8zk8LdifVxMu1IAYXWQHG9mvTKZo4XNZhz2hPD3Fky3L+dRHR3GAWBe1cnUVCnYs0dw89q+OdM1DoDdSotLXojYkRIJSKcbKU42Ei7LDILgkkL51hhPUcLGzhWVI+ixYCVRGRWuZzS2sZpFAROlzbxR0YVOzKrzQXeOTFeXBPrbQ5qgiCQVtHMhtRKtmZUoWgx4OVow8woT2ZGyYmQ21/QXajeYGRfXh0rjhWTWtGMv4stT0wNN4v31ShaeGt3Ljuzahji78yyudG42Vmx5lQ577ROrr+/IA4/Z1t+OV3O/+3MIVzuwIcL4sx+xwV1Kv65Lpl6tY53rovt0K11sqSRJ39LRSIW8f71cV1KloPp/f3sxnTUOgMvzRpwVqfrNgxGgRXHi/msVftq2byB532C/VLjrIJ/23DX//73vw5v1scff7x/V9gDl1LwX3uqjOU7c/j17hF9zie+uyePNadK2fuPcV3u+FRaA5M+OMhD44O5vRMrwr05NTzxWxrf3zqkgypnW62gswLruqQy3tyRw49Lh/VYKG3RG1lzqoz1p8u7NE6RiExSEOND3ZkV7dmt4Uhn/HyyjP/blcNLsyKZG9O3m+jZ0uZUdbLUpMh5orjRLOfg6WDNmGA3xoaYZDTsraUYBYHk1gnZnVk1VDa3YCMVMzncnasHejEqyNVcVKxRatmSVsnG1EryalXYSMVMjfBgXqwXwwJczqsNYm8QBIEjhfW8vTuXgjo18+O8eWJquDnVtjmtkje2Z+NmZ2X2c04qbeTxX1Oxloj5/MZBBLjKOJhfx1O/pxHgIuPzGweZd9M1ihYeXJts1qD66yagoE7Fw2uTUbToeX9BXLcqndWKFp76PY3k8mbuGh3IvWODzun3l1LexDMb0qlVaXlyaniXLnmXI2cV/Pfv38+ECRM67ey50EJvl1LwX7Y9mx1Z1ex4cEyfd3BP/pZKYb2an2/vmM5po6xRw7VfHuOFGZFcE9cxKO7PreXxX1P59ubBxPylo0erNzLxg4PcMsyPf/xlurdepeWaL44xLtSNN/9SDO6OiiYNuTUqapQtCILJr9bPRUaIm12PImldkVOt5PYfTjLE35n3r489bzthldZAWkUzyeVNJJc1kVzebPbmdbOzYrCfM8NaVS6DXE12o2qdgWOF9ezPq+NAXh21Si1WEhGjgkxS3ZPDPcw/t1pnYF9OLVvSqzhSYOrvj/NxZG6sNzMGyPuct1ZpDWRVKciqVlJUr6K0UUONQotCq0erNyJttZCUO1jj7yJjgKep2yywde29QWcw8unBQlYcLybOx5H3F8SZ15lW0cwj65KxkYr5+uYheDnakFuj5L6fkrC3kfLdzUNwsbPiaGE9j/6SwiA/Jz68Id5czK1TablndRJ1Ki1f3zSkQ+qvsrmFB35Oolap48Mb4ojr5gag1RtZvjOb31MqmRbpwcuzBpyTLHaDWscLmzM4UlDPDYN8+NfU8CtiJuCc0j533XUXM2bMYPr06bi7n393p864lIL/g2tOo9Ia+PaWIX3+3rt+PIW1VMwn3eTdSxvVzP/yOC/OjGReJ2mljMpmlqw8yfJ50Uzt5Eh8309J1Cq1rLljeIeA8PWRIj45WMCzV0VctN1PtaKFu388hc4osOKWIR0mQs8WQRAobtCQ0qpnk1zWRE6NkjYBzCBXGXG+Tgz2czJr24ta1TPzalUmGYaCehJLTPaH9tYSxgS7Mjnc5IfcFiA1OgNHCurZkVXNvtxa1DojXo42zIo2zQH0ptbRhs5gJKm0icMFdRwvaiCrSmEe+rK3luDnbIvcwQYHGwnWEjFGQUDZqvBZVK8yd/n4OdtyXbwPCwb59PqGszOrmuc2ZRDv48hHC+PNA4FZVQruWZ1EiLsdX940GKlYRGp5E/f8lMSoIFfenm8SeNyUWsnLf2Ry+8iAdq515U0abl91EgcbKd/dMqTDeqqaW7jv5yQa1Xq+WDyo204wQRBYmVDCB/vyifFx5J3rYs2T1GeDwSjw0f58vk8oYUywK2/OG3jWG5i/C+cU/CsrK9m5cyf79u1Dq9UyefLkCy7vcCkF/5u+S8TP2Za35vet2Atw26qTuMikvHd9XJfPUbTomfLhIR6ZGMKSER2LwhqdgakfHWLRYL9OB6I2p1Xy0pZMll8z0NyD3YbBKPDoLykcK6rnn5NCuWmo3wXNP6dXNvPU72k0qvV8vCi+U2G33qI3mkTVTpWYUjhJpU3Ut+7q7a0lDPR2JM7XiXgfJ2J8HNsFjQa1juNFDRwpqONIQb251TPYTcbYEDfGhbgxxN/ZHBCbNXoO5texN6eGg/l1qHVGnG2lTI30YGaUp3nitTeotAYO5NWyO7uWwwV1KLUGpGIRcb5ODPFzIsbHiQGeDnj20PXTdrM7VljPzuwaEooacLaV8uTU8A7F/q7Yml7F85szuGt0YDsHue2Z1Ty7Mb1dq/GPJ0p5e3cub8yNNg8Qvro1k42play4ZWi7PP7Jkkbu/zmJ2dGevDy7Y42wrFHDnT+eQioW8e0tQ3oUE9ydXcPzm9LxcTK5fHl307XWG9afLufNHdkM9Hbk/evjLutC8DkFf0EQSElJ4eDBg+zYsQOpVMrq1av7fZHdcSkF/+u/OsZAb0demxPd5++996ckEAQ+Xzy42+d1V/AFeGRdMnm1Kn69e2SHo6veKHDLikSaNHp+XDrMXJRrQ6Mz8NymDPbl1jI62JV/TgolvB+drjqjvEnDyuMlrEsqw93emrfmx3Rb8O6K0kY1B/PqOFxQz8mSRpTaP3e+g/2dGeTrRJyvEyFudu0GfIyCQHqlgkN5dRwqqCO1vBkBcLSRmn1sRwe7tmuFLaxTcTC/jv15pm4ig1HAzc6KyeEeTI3wYFiAc687dVRaA/tza9mRVc3hgnpa9Ebc7KyYEOrOhDA3hge6dCpf3RfSK5t5a1cup8uauqwXdcbzm9LZm1PLhntGmd8rgiDwj3XJZFcr2XDPKKylYgxGgZtXJCISwY9LhyESiWjS6Lj+q+PE+jjx7vWx7a77ycECvj5SxEc3xDGyk66xzEoFd68+RZSXA58sjO/xd3mypJHH1qfgbCvl40Xx59y/vye7hmc2pjPA04EPb4jrdzP6S4VzCv6jRo3Cx8eHe+65h4kTJ+LoeOGr5ZdS8L/h6+NEyB1YNq/vwf/5TekklTax4d5R3T7vyd9STR0j947qdEfZVvTtqi6QWangrtWnCHW348Mb4jr0VwuCwJpWhU2V1sC4UDeujfVmdLBrv9gNtk3NHi1sYEdmNQlFDYhFMD/ehwfHB3c5ZdwZlc0tbEytYGdWDdnVJlkHfxdbRga6MizA1KPfmSqqzmDkWFEDu7Nr2J9bS51KhwiI8XFkTLAro4PdGHjGpK3OYORkSSP78+o4mFdLcas8c4i7HRNC3Vu7nhx7vcNXtOjZl1vLrqwajhSaAr7cwZqpER5MjfRgkK9zv0+g6gxGXtqSyc6s6g678a7IrFJw6/cnOryX9ubU8sRvqe2C9y+ny1m2PZuVS4aalWG/OFTI54cL+e3uke2K/i16Iwu/OY6rnTXf3jy401NMW/fbnaMDeaAL7+ozSato5h/rknGwkfL5jYM69XjuC3tzanhqQzpD/Jx47/q4y1Id9JyGvD799FMOHDjAunXr2Lp1K2PHjmXx4sX9usC/E062Uho1nfeU90S4hz1bM6qpV2m7bW2cGunBnpxajhc2dKpZPjHMnTgfJ97fl8foYFezhHAbA7wcWD5vIE/8lspdP55i+TXte6ZFIhGLhvgxI8qTn06Usj65ggN5aVhLRAzycybO14lIuT0BLjI8HW1wtpV2+uHVthqhVCu0lDWafGSzq5WkVjRT3ZpK8XO25Z6xQcyL8erTcT2vVslXh4vYmVWNQYBBvk48OimUCWHuBHbhlia0TuJuSqtkZ1YNzS361ty9GxPC3Bgb7NbuJNSk0XEgr479ubUcLjDJOlhLRAwLcGHxUD/Ghbr1aYdZo2hhX26t6W9X1IDeKODpYM38OG+mRcoZ5Od0Xrt+rCRinpkewcG8On5NLucpr4gevydSbo+tVEzuX/SSBrXKimRXK83Bf2zrezGptMkc/GcP9OTzw4Xsz63lxjOMg2ykYm4fGcCyHTmcLmtiUCcS3bOiPTlaWM+3R4uYEu7eoXvtrwz0duSDBXE8uOY0//wlmS9uHHxOKZtJ4R68NCuSFzdn8uaObF6YGXlFDYP1+JsbMmQIvr6+eHp6snHjRtavX39FB39vJ1tSK85OAG14q0Xi4YL6brVupkXIed8+ny8OFzIyyKXDG1IkEvHirEiWtHrUfrIovkPaYFyoGx/eEMczG9K59fsT3DEqkCXD/dvt7F1kJvu9u0YHkljSyMG8Ok6UNPLt0SLOdAoUi0xdPtYSMSKRSf1Toze2M0Rpe16Ai0leIN7XiZGBrgS59b4TBUwpmu+OFfP5oUJspGJuHOrHoiG+3QZhtc5gGjQ7VU5+nQqZlZhJ4R7MGCBnVJBrB3vL3dk17Mis4XhxAwajgIe9NdMHyJkQ6s7IIJdeS0YLgkBWlZL9ebUcyKszvy/8XWxZNMSXaZHyPp0W+gNHWymBrjJKGjW9er7Q+s9fafsdnPk39nK0QQTUqv6ckvZztsVVZmU+lZ3JrGgv3t6Tx/bM6k6DP8Bjk0M5lF/H23vy+GxRfI/vlYHejiy/ZiCP/pLC85vTeXt+7DmdoGZHe1FUp+bLI0XE+TpdUW2gPQb/+fPn4+rqyvTp03nrrbfw8uo6aLVhMBh4/vnnyc/PRyKRsGzZMgID/8xB7tq1i48++gipVMqCBQtYtGjRuf0UF5AIuT3bM6tpVOu6tfXrjIHejvg62fB7SkW3wd9aKub+cUG8ti2b9ckVXN/JGzLYzY435kbz5G+pPLw2mXfmx3bI7w8LcOHH24bx1q5cPj9UyLqkcm4a6sf8OO92a5dKxIwKcjUPjal1Borq1BQ3qKlWamloFRjTGwUMRgEriRgbqRhHGymudiYzcR9nW/ydbc8pbSQIAv/blcvPp8qYHinn39O6d37S6AysOVXGd8eKadToGejtyAszIrkqSt4ugBuMAkcL6/k9pYJ9ubXoDAL+LrbcMsyfKRHuDPTufYBWavUcLTRJJB/Kr6NaoTWnkx4YF8zEMHezoufFQKnVU1SvJsand+nZNu/miL/MfhTUmdKs3k5/niqVWgMCJv2hNkQi0zCdUqvvcG07awnxvk6cLmvq8vWdbK24a3Qg/7crl8TiRvMGqTtGBbnyrylhLN+Zw/fHi3td3+iKe8YGkVLezP925zI8wKXPPtx/V3oM/t9++y0uLi59uuju3bsBWL16NUePHmXZsmV88sknAOh0OpYtW8batWuRyWTcdNNNTJkyBbn87Cf5LiRtDlPHihr67N4lFom4YbAv7+/LJ6m0scvdEMC8WG+2ZVTz9u5cBsjtO/T0A0wIc2f5NQN5dmM6t648watXR3XwFnC3t2bZvGgWlfjy5eFCPtyfz+eHChgX6s5VA+Rm8a8zkVlJGODl0KuccX+yJ6eWn0+VcfMwPx6bHNbtc48V1vPG9mxKGzWMDnLl7jGBHX6fGp2B31Mq+fFECSUNGlxkViwY5MvsaE+ivRx6HaBLGtSmvv/cWk6UNKI3mlpBRwe7Mj7UjTHBbpeMp+x3x4pR6QwdPJ27fP7xEmRWYib/ZSJ8c1olYhHtpshPlJhMbAZ4/nmjMAoCtSotw2UunV7fz9nWrFXVFdfEevPF4SLWJZX3KvgDLBjkQ2JxI58eKmR8mPs5NS2IW0/Si75N4M0d2Xx4Q9wVkf7pMfj3NfADTJ8+ncmTJwNQVlaGh8efb6zc3FwCAwNxdjZ9UIcNG0ZCQgKzZ8/u8+tcDOJ8nXCzs2JbRlWfgz/AgkG+rEos5e09eXzV2kfdGWKRiFfnRHHHD6d4dL2p8NaZ5O2kcA++vGkwz21M576fkrgu3ocHxgd36Ice4u/MRwvjya5W8FtyBdszq9mdXYNEBNHejgzxcybGx5EoLwd8nGwvykTq98eLCXSVdbCfPBODUeDjAwWsaH1uZ90keoORX05X8NWRQupUOuJad+VTIjzaGdx0R26Nkl1ZJiG2nBpTSiPEzY7FQ/0YH+rGIF+n86LLcy7szKrmu2PFzI3x6nSz8Fc2pVayO7umg6lQfq2KdUnlzI72NN/UBEHgx8QS3Oys2sk3JJc1oWgxdDmxaxSEHgOprZWEKRHubE2vNktX94RIJOKpaeEcLzJNLX/czexMb5A72HD/2GDe2p3L/ry6TqWoLzfOW3+TVCrlqaeeYvv27bz//vvmrysUinYdQ/b29igUivO1jH5HIhZx9UAvfkwsobK5pc8dB3bWEh6fHMpzmzL45mhRpxaNbbjZWZsLXPf/fJplc6M7LQBHezny/ZKhfHqwkDUnS9maUcWNQ/1YPMS3Q9okQu7AE1PDeWxyGMllTRwqqONEcSM/nihF35rot7OSEOgqI8BVhq+zLT5ONng6mP5xd7DGVWbV750qDWodyeXN3Dc2qMtr640CL27OYHtmdZcmIKkVzby6NZPcGhVD/J1ZPi+413pDtUotf6RXsTG1kpwaJSJMhc/HJocyMcy9R6+Bi8mm1Epe3ZZFnI8T/54W3uPzD+bV8fr2LIYHOLPkDNnwRrWOpzakIbOStBve2pBisq98cmq4+QYqCALfHivGwUbSpSNXdrWyywL9mQz2c2b96QqK69W9HpRzsbPiztGBvLMnj1Mljb3+O3fFgsG+rD5ZypeHC5nQR6nwvyNdBv8DBw50+U3jx4/v1cWXL1/OE088waJFi9i0aRN2dnY4ODigVP5ZHFIqlRelffRcWDjYlx8TS1iZUMK/pnSfnuiMqwbIOZhfxxeHCgn3sGfKX4axziTQVcYXiwfx2PoUHvklmTtGBXL36MAOu057ayn/mhLG/DhvPj9UyNdHilh5vJirBsiZF+vdYRBJIhYx2N/Z/IHR6o1k1yjJrFKQW20yFUmraGZ3do35ptCGWGS6MbnbWyN3sMbL0QY/Z1sCXWWEedjj52zb5w9OcauGUGfm8m28uyeX7ZnV/GNCCEv/oooqCAI/nijl/b15plmCawcyMcy9V+vIqGxmZUIJO7JqMBgFYn0ceXJqOFMj3PttAvl8oTcY+XB/AasSSxge4Mz/XRvTY8H69+QK3tiRTaTcnuXXDDS/l+pUWh79JYWSBjXvXR9rbqE9WljPmzuzGRHowoJBf9afNqRWciCvjkcmhnQ6p5BToyS9UsE/zriJdEXboFedStunKenr43348nARa5PKzjn4S8Uibh3uz5s7ckitaO5giHS50WXw37RpU5ff1FPw//XXX6msrOS+++5DJjN1e0gkpjdkWFgYhYWFNDQ0YGdnR0JCAnfddddZLv/i4Otsy9xYb9aeKmPBIB+C3fpmGycSmYxIiurVPLcpnf+7NsasstgZPk62fH3TEP67M5uvjhSxL7eWp6aFd1ozCPMwfaALalWsPlnKH+lVbEqrwsvRhikRHkwIbT+92oa1VEyMt2OHqVuDUaBWqaWy2eQuVa3QUqvSUqvQUtP69dNlTTRp/iz4tRmWT4lwZ1KYR69G6FWtA1uOXQzbHC6o46eTZSwe6tdp4P/f7lx+OlnGlAgPXpwZ2auhnZwaJe/vzeNwQT321hIWDfblunifPgWfi0lBnYqXt2SSWtFs0quZEtZtKkqtM/DOnlzWn65gZKALy68ZaP49ZVYqeGpDGjVKLcvnDWREoOmEuSurmhc2Z5gbDNpOZXtzalm23XRDuKkTq1GDUeB/u3JwsJH0Sv227e/f206rNmytJEwf4MHW9Gq0euM59+rPivbk3T15bEytvOyDf68knc+kqqoKT8/ux8dVKhXPPPMMNTU16PV67rnnHtRqNSqVihtvvNHc7SMIAgsWLOCWW27p9nqX0pBXGzVKLTd+m0CImx2f3TjorNIgjWodD61NJrdGyQszI7vtAGpjT3YN/7crhyqFyXXpnjGB3RqvaHQGdufUsC2jmmOF9WgNJhORIf7ODPN3YZCfE9Fejuf8oWnW6CmoU5FdoyS5rIljhSbZBHtrCTcO8WXJiIBuA3KbVHVnOXxBELjl+xNodAZW3za8w1o/O1jAl0eKevQJbqNFb+Sj/fn8dLIUBxspS0cE9EkX52KjN5ry758dKsRWKuaZqyJ6lD5OKm3kP1uzKK5Xs2REAA+MD0YqFmEUBFafKOXD/fm4yqxYfs1AYn2cOgjAvd2qqyMIAmuTyvnfrhwiPR346Ib4Dr32giDwzp48fjxR2mu3uw/25bMqsYSdD43p87TzjsxqntmYzne3DOkXyeZnNqRzsrSRLfeN+tunfs5pwvf999/nhx9+QKfTodFoCA4O7vZUcD64FIM//Kmjc8+YQO4dG3xW11C06Hnit1QSi00m5w9PCOmxKKnWGViZUMKqhBKUWgPjQ91YPNSPEYHdSwertAazps3xogYKW1MtUrGISE8Hor0cGOBp+ifMw75XzlpdYRQETpU2suZkGTuyavB0sObVOVEM9Xfp9Pm5NUoWf5fI63OimBHVfnORVNrI3auTOp1oPlZYz0Nrk5kb48WLvRjSKW1U8+RvaWRXK1kwyIf7x3Usjl/KpJY3sWxHDplVCiaGufPM9PBuU1NNGh0fHyhgXVI5Pk42vDhzgLmjJrdGybLt2SSVNTE+1I0XZ0biamdNRmUzr27NIqtayXXx3jwxJRxrqZgGtY7lO3LYkVXNuBA33pgb3eFUpzMYeWtXLr+cLufGIb48MbXn+oNaZ+DaL0yyKX+ViegNOTVKburivXM2/JZczmvbsru1Wv27cE4Tvvv27WPfvn288cYb3HHHHbzyyiv9uri/M7OjPTlWWM8Xh4sI97DvVGWzJxxspHywII539+TxQ2IpicWNvDQrstvdvMxKwj1jglg02Je1SWX8dKKMh9cmE+gqY26MF7OjPTudprWzNhXm2opztUotp8uaSClvIrWima0ZVaxLKgdMev1BbnZEyO0Z4OlAlJcD0V6Ovd4di0Uihvq7MNTfhVvLm3hxSyYPrknmlVkDOhUea9PVKe1kOGlfbh1SsYhpAzoK1f1vdy7+LrY8NS28x8Bf0qDmvp+S0OiNvHtdLONCu061XWo0qHV8cqCA9afLcbe3Zvm8aKZEeHT5MxuMAhtSKvjoQAFNGh03DfXj/nHB2FlLULTo+epIET+eKMXeWsLLswZw9UBPmlv0vLUrhzWnynCRWfF/1wxkcoQHRkFgc1ol7+zJo7lFz0Pjg1k6MqDDRqOgVsVLf2SSVtHM0hEBPDwhuMefSxAE3t6dS71ax52jz65f3771BqTRGXt4Zu+I8TalezKrFH/74N8dvWr1tLa2RqlUEhQUhFrdubnHlYhIJOKZqyIpqtfwwuYMHG2l5lxpX7CSiHlyWjgjAl14Y3s2S1ae5Oahftw5OrDbYOsss+Ku0UEsGR5g9m39+EABHx8oYJCvE1MjPZgU7t7ldKy7vTVTIjzMBWejIFDWqCGzVVM+q0rBqdImtmZUm78nxM2OeD8nhgU4MzrItVcOXDE+Tnx3yxCe+C2Vl/7IxFkmZXRw+8BrZy3B08GavNqOJ7y0ymYiPR06pAOOFNaTV6vi1aujehwuU+sM/OvXVFr0Rj5dFN9nj+KLhd4osP50OZ8eLEDZomfxUD/uHRvUYwrt7d25ZFUrGeznxJNTTW3CeqPAuqQyPjtYSINaxzWx3jw8IQR7Gwk/nSzjy8OFNGn0XD/Ih4fGh+BoK+VESQPv7c0nraKZWB9HnrsqsoMZkKJFz4rjxXx/vAQ7a0mnirKdIQgCnx4s4NfkCpaO8O/W4KU7mlvrTf0lz9w25FXccHnHuh6Dv7e3t3kg66233vpbtWVeCGykYt6+Lob7fkrisfWp/G9+TK+8bztjcoQHg/2d+WBfHt8nlLAprZK7RgcyP86n25y8tVTM1QO9uHqgFyUNarZlVLM9s5p39uTxzp48QtztGBfixuhgVwb7OXeZzhGLRPi7yPB3kbXLIdertGRUKUiraCalvJldWTX8llyBCIj3dWJGlJzZ0V7d6qw42Eh569oY7v0piWc2pvPj0mEdTicRcgeyqzu+vyqaNAzsRPdlV1Y1jjbSTo3u/8rKhBLyalV8uCDubxP4jxbU8/aeXPJqVQwPdOFfU8K6HWYqqFXx/r489ufV4e1ow+tzosyzKLuza/j4QD4FdWqG+Dnx2JRYIuUObM2o4rODBZQ1tTAi0IVHJ4US6elAakUznx4s4EhBPZ4O1rwyewCzoj3b7fbVOgO/JJXz7bFiGtQ6rh7oyT8nheLWiw1Bk0bH69uy2ZVdw7Vx3u3aSvtKm7REkFv/tOK2Ta/Xd+ELfbnQY87faDRSUVGBk5MT69evZ8yYMYSH95zH608u1Zz/mdSptDy8Npn8WhUvzopkdnTvJiy7IrWimff35nGipBFPB2tuGe7P/DifPu1uShrU7M2p5UB+HadaJ1NtpGIG+zkxPMCFEYEuDPBy7LOjkVEQyKhUcDCvjp3Z1eTWqLCzknBNnDe3jwzodtq1pEHNzSsSGR7gwtvXtc/vfnqwgG+OFrHnH+PadX3M/OQwk8LdefaqyHbPX/RNAv4uth2u81cMRoHZnx4htrVwealzZheSn7Mtj0wKZUp4122rNUotXx4u5NfT5dhaSbh9ZACLh/phayUhsbiBD/fnk1LeTLCbjIcnhDA+1I09ObV8drCQ/DoVAzwdeGhCMKODXEkpb+bLI4Ucyq/H2VbKbSMDWDjYt93Jqk6lZc3JMtacKqNRo2dkoAsPTgjplT+D3mDk95QKPj1YSJNGx0MTQrh1uP85FVaf/C2V02VNbLl/dL8NJ87+9AjjQt14fkZkz0++hDmnnH99fT1ff/01BQUFRERE/G1kGC40bnbWfLoonid/S+PFzZnkVKt4cHzwWQ9DxXg78umieI4VNfD1kSLe2ZPHl4eLuC7em+sH+fRKbdLfRcYtw/25Zbg/Kq2BxOIGjhbWc7yogY8OFADgYCNhqL/pRjA80IUw9551acQiEQO9HRno7cg9Y4PIqGxm9YlS1pwsZUNKBQ9PCGHBIJ9Or+PvIuOeMUG8vy+fg/l17VpcY30cMQom6d4zp0ilYhF6Q8c9SlmThjEhPZ+y8mqV1Kt1TD+LiewLSXmThs8OFbI5tRIHGyn/nBTKosG+XZ76VFoDKxOKWZlQgtYgcMNgX+4aHYirnTWZlQo+PJBv3rk/d1UEc2K8OJhXx5KVJ8muVhLiZseyudFMiXAnsbiRB9ecJqG4EWdbKQ+ND2bhEN92qbbMKgU/nTANEWoNAhPD3Fk6wr9bmZI2lFo9G1Iq+SGxhPKmFob4O/OvKWHdznX0hoI6Fftza7lluH+/TqX3dtL470yPwf/RRx9l9uzZ3HDDDSQmJvLvf/+bzz777EKs7W+Hk60VH94Qx1u7cllxvJi0iiZevTrqrAeFRCKRWXDtdFmTebDs++MljA1x45o4byaEuvVKssDOWsKEMHcmhP1Z7E0sbuB4UQMJxQ1m/RVPB2vGhbq1Kly69qrjJ8rLkZdnR3HHqED+uzOH5TtzzIXrznLxi4f6sS6pnE8PFDA22NV8k4jzcUIEnCptbBf8nWVWZu/dM9Hqjb0SkqtrPb6fq/77+aKiScO3x4r5LbkCsQhuHubP7aMCuuxC0hmMrD9DvmJ6pAcPjA8h0FVGUb2a/9uVzvbMapxtpTwyMYQbBvmQWNLInT+cIqNKQaCrjFdmD+CqAXIO5ddx149JpFY042FvzT8nhXJ9/J8nTK3eyM7sataeKud0WRO2UjHzYr1ZPMSvx2KowShwoqSBzWlV7MisRqM3MtjPiSemhvfLBK3BKPDmjmxsrSRmx7H+wGAUaG7RdzlzcrnQq5/u5ptvBiAqKoo//vjjvC7o746VxNR3HevjyH935nDTihM8Mz38rDqBziTe14l434FUNGn4NbmC31MqeOr3NFxkVsyO9mROjBeRcvtef6Dc7a2ZEeVpbo0rb9JwtKCeQwX1bE2vZv3pCuytJUyN8GBerDeD/Zx6vHaQm8k85vvjJXy4P58mjY53rovtsHO1kpi03l/fnk1CcYO5SO4ssyJcbk9icSN3jf7z+T5OtpR0Unyzt5Gg0HRUk+zws7bmoCubW3p87oUkv1bF98eL2ZxehQi4Ns6bO0YFdnmTMgoCOzKr+eRgASUNGob6O/O/+SHE+jhRrWhh2fZsfksux1oq5s7Rgdw6zI+0CgUPrU0mubwZP2dbXpwZyYwoT3Zn13Dr9yfIq1Xh52zLM9PDmRvjbf5bVTRp+OV0Ob+erqBerSPAxZZHJ4UyL9arWzMevcFIYkkju7Nr2J1dQ51Kh721hJnRnlwX590rzaHeIAgC7+/LI7G4kRdnRvaqztBbqhUtGIxCO0XTy5Eeg39oaCi///47o0aNIjU1FRcXF/Lz8wEICTn7Is3lzrxYb2J9nHhpSwZPbUhnxoAa/jU17JzfpN5Ottw/Lpi7xwRxpKCODSmVrDlVxo8nSgnzsGPOQC9mRXt26m7VHT5OtsyP92F+vA9avZHEkga2Z1SzM6uGDamVhHvYc8eoAKYPkHd7vBaJRCxtzfu//Ecm/9mayatXR3W4ccwe6MVHBwr4+WRZuw6pEYEurD1VhkZnMO/qwzzsOJhf1+5rYPIOaJMe7o4Qdzvc7a3ZmlHVq0G684lRMMlL/3yyjAN5ddhIxSyI92HJCP8uzW4EQeBQfj0fH8gnq1pJhNyed6+LZWyIK4oWAx/uz2f1iVIMRoHrB5lSPyUNap74LY0TJY14Odrw7FURzI72ZEdWNTevSKSoVUPnldkDmBHliVRsMrNPLG5g9YlS80lwQqg7Cwb7MCrItcu/e7NGz+GCOvbl1nIwvw5FiwEbqZjxoW5Mi5QzIdStXxzi2tAbBd7dY5roXjTYl7m9VDDtLW1CfmcaIF2O9FjwXbJkSeffKBKxYsWK87Kov/J3KPh2hd5g5NtjxXx9tAg7KwkPTwjhmjjvfs1PNqh17MisZnNaJcnlzYiAkUEuXBPrzaRwj3Ma1lLrDGzPrGZlQgn5tabi4AszI3uVq/3maBEfHyjgpVmRzI3pOOL//t48fkgsYeO9o8ypscMFdTyyLqVdH36bpeCni+LbpYOW78hmU1olOx4c2+OE8rdHi/joQAHL5kZflNx/ZXMLm9Mq+T2lgpIGDW52ViwY5MPCwR3F99oQBIHjRQ18dqiQ02VN+Dnbcu/YIGZFe6LVG/n5ZBnfHS+mWaNnZrQn940NQq0z8PGBAg7k1eFmZ8WdowKZF+vN7uwavjxSSEmDhki5PXeNCWJyuDtikQit3sjWjCp+PFFKdrUSZ1sp18b5cMNgn3a+xmdS0aRhb04te1tlrg1GAVeZFeNC3Zgc7s6ooP6xBP0rhXUqXt+ezcmSxl5PdPeVD/fnszKhhN0Pj+2z3MSlxjlN+AI0NzdTWlpKQEAA9vYX/m74dw7+beTXqli2PYuTpU3E+Tjy72nhPdrWnQ2FdSq2pFexKbWSiuYWHG2kXD3Qk0VD/HqlrtgVBqPAtswq3tubT4Naxz8nhXLTGbZ9nWEUBO5dnURBnYpf7hrRIV1QUKdi4TcJPDIxhCUjTHo9LXoj0z86xNwYL56abrIhVLTomf7xYW4d7s/DZ7QEtt0ols+L7jGtptUbuf/n02RUNfPa1VHnnIbrDTVKLXtzatiRVUNiUQMCMNTfmfnx3kyPlHdZqxEEgWNFDXx1uJCTpU14Olhz12hTEBcBv6dU8OWRIqoVWsaGuPLQeFOv/mcHC/kjvQoHGylLRvizaIgvB/Pq+OxQIUX1aiLl9tw7NsgseNes0bMuqYzVJ8uoVWoJ97Bn8VBfZkZ5dhq4i+rV7MyqZldWDRlVppbcNo/jiWFuxPo49bva65m/yx8SSvjpZCnWUjFPTg0/b6e4xd8l4GRrxec3Djov17+QnFPw37p1K5988gkGg4FZs2YhEol48MEH+32R3XE5BH8wfag3p1Xx/r486lU65sd78+D4kPMiL2Bs3TX+nlzBrmyTWuW4UDfuHhPUq5a8rmhQ63h9WxZ7cmp7ZbzdZhDe1XOXrjyBIMD3S4aav9aZgf3Da09T0qBh/V0jzCkkvVHgui+P4eVowxeLB/VYk2jS6Hj0lxSSy5uZHe3JfeOC+uTR2xNavZG0imaOFdVzuKCelHKTrWOgq4wZA+TMifHqVhbaYBTYm1vL98eLSSlvxtPBmttGBnBtnA9SsYitGVV8cdi0e4/3deLhCSEEucn4+ojJCEUiFnHjED+WjvAjubyZjw8UkF2tJMzDjvvGBjO5tV20QaVjVWIJa06VodQaGBXkwpLhAZ1ahlYrWtiaUc0f6VVktgb8WB9HpkZ4MCnc45w2FD3RVj/YnFbJjkyT1v/MKE8emRhy3tRW26QinpgS1s6T+O/KOQX/xYsXs2LFCu666y5WrFjBggUL+OWXX/p9kd1xuQT/NhQtej4/VMjPrcJiD44PZn68z3kzUKlRalmfVM5PJ0tp1OiZFObOY1NCzzrwGYyCqbiYUtGp3s5fefK3VE6WNLLpvtEdUlArE0p4b28ev9w5wjxZuSW9khc3Z/LFjYPMMr1tOkofL4xrVyNYc6rM1GHUi90/mAL0V0cK+T6hBINRYHyoO5PD3RkR6GLyqO3l30CjM1DcoCanRklWlcm0Pq3VElEsMnksTAhzY1K4R4/tsyqtgY2plfx0spSiejV+zrYsHRnA3IFeSMQidmZV8+XhIvLrVETK7XlwfAjxvo6sSizlh8QStHoj18R5c8+YIMqbWvhwXx4nS5vwd7HlvrHBXDVAjkRsCvrfJxSz5lQZGp2RaZEe3DYyoMMJVG8wsi+3ll+TKzhaWI9RMFmQzoySMzXCo8vaxLliMArk1ZqEAROKGzlaWE+TRo+9tYRZ0Z7cPMz/vN5sAP67M4dfk8vZdO+oXk2vX+qcU5+/WCzG2toakUiESCRCJrt0DS3+LjjYSHl8ShjXxHnz1q4clu3I4feUSp65KuKc+547w8PemnvGBnHzcD9Wnyjl++MlLP42kUcnm9r6+tpyJxGLePqqCMqaNPxvdy6jgl27baO8YZAve3Jq2Zdb28H9bHqkB+/tzWNHVjV3tHqxTgxzx1YqZlNapTn4T4uU8+6ePFYcL2kX/K+L9+G35Are2J5NjI9Tj+2c1lIxD4wP4fpBvqxLKuP3lEpzcdNFZkWwmwwvRxucbK2QWZkM63UGIyqtgUaNnlqlloomDdUKrdn43EoiIlLuwPXxPgz1d2ZogHO3HTFt5NQo+fV0ORtTK1FqDcR4O/LG3GimRnggCAJbM6r59lgRBXVqQt3teHNeNGOCXVmXVM5LWzJo1OiZHunB/eOCMQqmwLUnpxY3OyuemhbO/DhvpBIxihY9KxNK+DGxFLXOwIwoOXeNDuogXV2jaGFdUjm/JldQo9Ti6WDN7SMDmD3Qq8+y5d2h1OopbdBQ0qCmqF5NQb2avBolebUqs2G8h701E8LcmRzmzujg81M/+Cu1Si2/p1QwM8rzsgj8PdHjzv/tt9+mtLSUlJQURo0ahZ2dHU8//fSFWh9w+e38z0QQBP7IqOLdPXk0avTcPjKgU7OW/qSiScPr27M5UlDPjUN8eXxK2FmdOkoa1Cz8JoHr4n26dY8yGAXmfn6UeF8nll8zsMPjd/5wCo3ewA9Lh5m/9sofmezKqmHTfaPMOjYrjhXzwf58PlkY387rtaBOxW0rT+LnYssnC+PbmdP3hFEQyKlWcrKkkexqJcUNaiqbW1C06FHpTBrzUrEImZUEZ5kV7nZWeDnZ4udkS5CbjFAPe4JdZb3+ezWqdWzPrGZTWiUp5c1YSURMi5SzaLAvcb5OqLQGfk+pYFVCCRXNLUTI7blzVCDjQ934PaWSb44WUaPUMjrYlQfHB+NuZ83nhwvZkFKBzErCkhH+3DTUHztrCS16I2tOlfHt0SIaNXqmRXpw39jgDkE/p0bJyuPFbM2oxmAUGBvixg2DfRgT7HZWOXxBEKhsbqGoXk1xg5rSBg1lTRrKGk3/NP6lPdfD3ppgdzsi5fZEeTkQ6+2Ev0vfDYHOlde3ZbEhtZKfbx9+3k8YF4pzLvju27ePrKwswsLCmDJlSr8urjdczsG/jUa1jrf35LI5rYo4HyfemBt13o7XYArI7+01aa7fOyaIe8Z2bSfZHa/8kcnOrGq2PTCm293ZmzuyTbnbTjpzVp8oNZmx3D7M3F6XVtHMbatO8s9JodzaOsCj0Rm48dsEpBIxq5YMbfd6RwrqePzXVHydbHn3+thLynKxUa1jf14tO7NqOFxQj8EoEOZhx7wYb+YM9MLFzorSRjVrT5Xza3I5ihYDg3ydWDoygJGBLvyeUsl3x4qoUmgZ7OfEA+ODCfew57tjpgKowdg63TsqEBc7K4yCwB/pVXxyoICK5hZGB7ny0ITgDumdjMpmvjpSxJ6cWmRWYq6J9ebGIX7m9Ftv0OqNZFYpSK9sJqtKSXaNkoJalfnGCaaTkY+TLb7Otvg52+LjZPp3gIsMPxfbS8JH4VRJI/f+lMRNw/x4bHLf3fkuVc4p+FdVVdHU1IRYLObLL79kyZIlREdH9/siu+NKCP5tbM+s5vVtWdhaSXjvulgGeJ0/ETJBEHj5j0y2pFWxaunQsxI8a9PT/9/8mG5Nr/fl1vKvX1M7NWupUWqZ89kRlo4IaCfw9cCa0+TVKFl/10jzxGnb682L8eKFv+j3nyhp4Ilf0zAYBR6ZFML8OJ/z1n3SHYIgkFur4nB+HQfy6kgqbcQggLejDVcNkDMjSs4ATwcMRoGD+XWsP13Bofw6xCKYEiHn5mF+hLjb8UtSOT+cKKVWaQr6d48JIs7HkZ9PlrHieAmKFlOL5/1nFK4Tixt4d08eGVUKBng68I+JIR2EBnNrlHx2qJDd2TU42khZPNSXG4f49erEpDcKpJQ1cbSwnsSSRlLLm9C2Sm+4tA7phbnbEexmR5CbjAAXGZ6ONuetntUfNGl0LPn+BAA/3ja839RBLwXOKfjfcccd3Hffffzwww/MnDmT1atX8/333/f7IrvjSgr+YNKieWRdCiqtgS9vGnReh00a1Trmf3WMcSFuvDan7zd1jc7A5A8OctvIAB4Y3/XQn1KrZ9qHh7p83mPrU8ioVLDhnpHmFEpyWRN3/niKO0e1/55PDxbw1ZEi7h4dyH1/6SAqb9Lw2tYsjhU1EOJmxx2jA5gWIT9np7Lu0BsF8mqUJJU1caqkkYTiBrOkRJiHqRVyUri7ucsqq1rJlrQqtqRXUqfS4WFvzTVx3lwf74MgCPx8soxfTpej1BoYGejCHaMCifF2YH1yBd8dK6ZOpWN8qBsPjAsmsrVGVFCn4oN9+ezLrcXL0YYHxwd3UOGsbG7hs4MFbEqrRGYl4eZhftw8zL/HnbfeYORIYT07s2rYn1tLo0aPWGTyWx7i78wgP2cGejn0qWB+qaA3GPnnLymcKGnki8WDLjvrxnMq+Or1ekaMGMGnn37KnDlz+OGHH/p1cRY6Eupuz+c3DuLOH0/xxK+p/LB02HkreDnLrJgWKWdHZjVGQejzDs3WSoKfi8zsCtYV9tZSorwcSSxu7PTx6+N9ePzXVHZl15glJ+J8nZgd7cl3x0uYHOFBdGva4t6xQSYlyyNFKLUGHpkUahbh8nGy5cMb4tiRVcMXhwt5cXMmb9nmMinMnXGhbgzyczabhZ8NDWodhXUq8mpV5FQrW70PFKhbjUTkDtaMCHRhZKArI4Nc8HayRRAEsquVfH6okB1Z1RTUqZGKRYwPdWNujDdjg104VdbE27tz2ZtTg4CpwH3rcH/zCeD5zRnUKrUMD3Dmv9cEm8XU6lVavjhcxC9JZdhaSXhwfDA3tSp6tqHSGlhx3CQAZxQEFg/1445RgT22GOfXqvg1uZwtaVXUq3U42Ehae/pNQ1zdSXj/HdAbBV7YnMmxogZenBl52QX+nujxr6fT6Vi2bBnDhw/nyJEjGAyGnr7FQj/g62zL63OiuP/n03x7rJj7e+inPxcGejvyW3IFVc0tZ1Vn8HS0oVqh7fF5wwJcWJVYgkpr6HC0HhfqRrCbjK+PFjEtUm5O1/xrShiJxQ08syGdb28egoudFWKRiGemRyCzkvDjiVIyqhS8MCPSnKsWiURcNUDOtEgPjhbWsym1kj05tWxIrTSt18GaQDc7fJ1scLe3xtFGisxKYvK0BfQGAbXOgKJFT71aR61SS1VzC+VNLTS3/FmslFmJiZQ7cE2sNzE+jsT7OuHrZCpUanQGEksaWZlQwv7cWsqaWhABQwOcWTzUj2mRcvQGI1vSTXMfRfVqnG2l3DzMn4VDfLGzkrDmVBmPrEumUaNneKALr8+JMk84a3QGfjxRynfHitHoDMyP9+HesUHt5EMEQWBLehUf7s+nWqFlxgA5D00Iwde567+xIAgcKaxnVUIJRwsbkIpFTAxzZ06MF2OCXXslIvh3QNGi57lN6RzKr+eRiSHM64XJ/OVGj2mfgoICDh48yMKFC9mxYwdxcXEEBARcqPUBV17a50zaeuT/eGDMeZOY3ZZRxXObMlh92zDCujEL6YqnN6SRV6Pi5zuGd/u8o4X1PNxNfaBtHX81/U4ua+L+n5MIlzvwwYLYdm2Um9Mq+e/OHHQGIzcO8ePm4f6d7uz1RoG0imaSy5rIqlZQVG/q6qlTaulELRowtbS6tHb4eDramAuVbflsX2db80mppXXA62RJI8eL6jldZsqF20jFjAh0YWKYaccss5KwN7eGP9KrOFJg6qEf7OfE/DgfpkV6UNncwk8ny9iQUoFGb2R8qBu3jwww7/T1BiO/p1by5eFCqhVaJoa58/CEkA4dPJmVCv67K4fTZU1Eeznwrylh3UovC4LAgbw6vjhcSHqlAg97axYN8eXaOO9+FU27FMipVvLspnSK6lT8e3oE18f3bDD/d+Wcu30uNldy8N+eWc2zG9P59pYh5zSZ2x2/J1fw6rYsfr17xFkNfv3nj0zTDvu+0d0+T6s3MuOTw0yL9OCFmQM6PH6mHMSPtw1rJ063L7eWpzekEexmx3+vGdium6da0cIH+/L5I70KK4mIqZFyZkV7MiLApcdcv1Ew7fLVWgN6oyntJZWIsLOSYCMVd5rD1huMFNSpzV0uqRXNZFQq0BtNH6UIuT0jAl0YHezKED9ntAYjB/Lq2J1t6vZp0RvxdrRhVqsaa4CLjIP5daw5VcaRgnqkYhGzoj25Zbi/2bnLYBTYnlnN54cKKG7QEOfjxD8mhjDEv31Ab1Tr+OSgyevX2daKhyeEMDfWq9t0XlJpI+/tzTMrf945KpDZAz0vm11+Gy16Iz8klvDl4UIcbKS8enVUh+aDy41zyvlbuLiEtu7oShvU5y34VzRrEAFy+7Mbmbezlphz3t1hLRUzOdydnVk1PDk1vEMdQywS8fyMSJasPMGzG9P58IZ480TwxDB33pkfyzMb01my8gRPTg1ndrQnIpEIuYMN/7k6invGBPFDYgnbMk1yBLZSMYP9nYn1diTC04EgVxk+TrbtUk5ikQh7a2k70xJBEFBqDVTUq1vTPRpKGjSmgaQ6FUX1anOgl1mJifJ04OZhfsT7OjPYzwknW6m52+fbo8Xmbh8Pe2uujfXmqgFy4v2cKGvUsDG1kg0pFVQptMgdrLl3TBDXDfIxn14MRpOM81dHTBO+EXJ7/jc/poMevlEQ+C25go/259PcomfhYF/uGxvcbV6+oknTOmBXg9zBmmevimBejNd5nTG5GOgNRrZmVPPF4UJKGzVMjfDg6enhV8QgV3f0e/DX6XQ8++yzlJaWotVqeeCBB5g2bZr58W+++Ya1a9fi5mZSbHzllVcIDQ3t72VcNli3fhDbgs35IL9WjY+z7Vl3xNjbSFFq9b0qGF8b58OmtCo2pVWyYJBvh8eD3e14YWakKf2zKZ035kabd6Cjgl35fskQXtiUwUtbMll/upz7xgYzLMAZkUhEgKuMp6ZH8NjkMI4V1XMov54TJQ18fdSUXmnDzkqCo60UmZXYfG2DUaBFb5rkbW7Rd/h9S0Tg5yIjyFXGhDB3wj3siZDbE+xmh1gEhfVqTpU08n+7ckgobqRWaaqBhHvYs3RkABNC3YnxcaRZo2dnq5/uydImRMDoYFf+NSWMiWH/3959h0dZpY0f/07JZCaZtEkjCQkkQCAUQUABBcFFpa8FkLLGFdRVF3+84Oouui72gvuy5XVlAQsqKrhgQ1dhV0AQkCKdUEJ6L5NMyvTyPL8/JhlFkVBmiMmcz3V5YTKTmZNA7vM859znvmN9gdfVsh/w9t5Sik3eE74vTM7iF5lxP/oZH61o4s9b8jhRbebKlEgeGdvznGm7Lo/EO9+W8fruEgB+M6Ibd1zVtcNXsPyhWrODz3Kq+ehIJZVN3gNz/5g24KJ7bHc2fg/+GzZsIDo6mj//+c+YTCZuvfXWM4J/Tk4OS5YsoX//n38v1Z+DJrs3ZTCQB2HyjGZ6XcRaf6vYsBAk2ZsJ09b68KCUSPonRfDG7hIm9k08a8C5qU8CJquL/92az/wPj/HC5CxfZkpKlI5XZw7i02NV/HNnEQ+sO0LvBO+m69jMOGLDNWjUSkZmxDIyw7uvYHV6KDZZKa73XsnXWZ002d3YXR6cHhkFoFQqCFUrfRNDjC4EQ3gICfpQukSGkhih9e25tDa0/yrPyLHKZnIqmzG1dBqLDdcwNDWqZdnHQGJEKA1WF9vyvdlHe0sa8Egy3Q06fjuyOxOyEs7YZDc73Hx0pJK1B8qpMTvJjA/nxSlZXN/rx0G/1uzgla8L+ffxGuLCNTw9sTfj+yScM93yaEUTz/4nl4I6K9f3iuOhMRkBPUx4OUmyTL7Rwu4iE1/n13GovMlXSdVf3cM6E79HlPHjxzNu3DjfxyrVmb/cOTk5rFy5ktraWsaMGcN9993n7yF0KiUtHaxSzpGhcSkcbolSk+2SShy37hMU1VvbDP4KhYIFozO4Z+1h/rG9kEd+oizEjMEpRGjVPPufXGa/vZ/HbuzlC+YqpYJbrkhifFYCX5yo4V8HK/jzljz+d0sefRL1XJUWTf+kSHrFh5Mc5V3myUqM8KWKng+XR6K62UF5o51vCk0Um2wU1lnIN1oxWr7LbOpu0HFNhoFByZEMSomim8H7syios7LpRA07Cuo4XNGEJHszuH41JIUbe3sPeX0/EBXXW1l3qIJPj1VjdXkYmhrFYzdlntHmspXd5eG9/d5MH5ckcedVqcwdnnrG0tUPtdb5f/9AOQkRoW0eyvu5kmUZq8uD0eykutlBWYONonobp40WTlY3Y3Z4sxF7xIVx74hu3Ngn3q91iToTvwf/1nr/ZrOZ+fPns2DBgjMenzRpErNnz0av1/Pggw+ydevWdikZ0VHk1ljQqBR0C1CtkbIGGx4Z0i/hF6RPyynkw+VNDO4a3ebzB6ZEMXtICu/tL/detf9EVdCJfRPpERvOn744ycKPchjRPYYHRnb3BXFtiIpbr0ji1iuSyKu1sC3fyDeFJt7bX45bKgO+Ky0QG64hRhdCuEaFNkSFqqVzlUeSsbslbC4PTXY3DS2pnSari+8v/GjVStJjw7i6WzSZ8XoyE8LJSozw3ZEZLU72lZh4e18pe4pN1LSkvvaKD2fOsDTG9Iz9UcB3eyS2F9Tz0eFKdhd7N3pv7O094Xu2Xg+tZRuW7SiiutnBmJ6xzL8uo81yDAfKGnhmUy5lDXamDUziwevSzzlRXCynWyK/zkJhnZVSk41ai5N6i5NmhxuL04PDLeH2SL4lOIXCezGgVipQKb1/KhUKlC2fb/37cbcsybWm3zp/kJ4VqlbSIy6cm3oncEVyJENbKrQK5xaQbJ/KykrmzZvH7NmzmTZtmu/zsixjNpuJiPD+w3733XdpaGhg3rx553y9YM72uXftITySzBuzrwzI6+8srGfBh8d4bebAc6YCtuXOdw7gkWTeyR58XrfWbo/Ego+Osa+kgcdvyjxnnrXLI7H2QDlv7i2lye5mYHIktw1M4roesWddDnO4JU7Xmsk3Wiiut1HZ5KDO4qDB5sbidHuDkCSjUIBK0bLco1ERqQ0hWheCIcy73JMYEUpKtDe98/unVyVZpqDOSk5lE0cqmjhU3kRJyyG3iFA1Q1syfa5NN5w1CBXVWfk0p5p/H6+mrqV65i0tk9jZ0lTlltaPL2/3tnHMStTzP6MzzuhqdjZ2l4dXdhSx9kA5KVFa/jQus82vuRAeSeZIRRM7C+s5UNrAie9lPCkAQ7gGQ1gIUVo1YRo1oWolISqFb/lKBiTpuwDvkWQ8sowkt76GdyIIUXm/zrsxryImLARDmIbEiFC6Rmt/9uUj2tNlzfYxGo3MnTuXxYsXM2LEiDMeM5vNTJ48mc8//5ywsDD27NnD1KlT/T2ETsPlkThRbWbqwMDlIVtaDi2dTwnic7llQBde+DKP3cUmRnQ3tPl8tUrJn2/uxyOf5PD0plxO1Zj5f9dlnLXlZIhKSfZVqb7yzesPV/DEF6fQqBQMTYtmWLcYBqVEkRkfjlqlJFStpH9SpF9ObDbb3RTWW9ldZGqp3W/mVI3FV7gsSqtmQHIkt16RxJDUKDLj9WetJ1RvdfLlKSMbT3hbbaoUcE26gVuuSOKadMNPnuE4VtnEKzuK+LakgeTIUJ6e2JtxfRLaDHaHyxt5elMuJSYbtw9K5sHr0v22oVtUZ+Xjo1VsPFlDncWJWqmgX5cIZg9JISsxgp7x4aREaTtdqmhn4/cr/2effZYvvvjijAye6dOnY7PZmDFjBh9//DGrV69Go9EwYsQI5s+f3+ZrBuuV/8nqZrLfOchzk/r4Sh74W+s5gos94NXK6ZaY8da3yDK8kz34vDeo3R6J/9teyJoD5aTF6HjkFz0Y3sbkIckyRyua+DLXyK7Cet9Vd4hKQbohjPTYMFKidSTqNRjCNETpQgjTePP2W4OsR5JxeiRsLgmzw02T3U291YnR7KTG7KCi0U55o91Xowe8aZ0947zLPVld9PRPiiQtRveTgbh1o/fLXCP7ik14ZG/2z8S+CUzom3jOMhO5NWZW7ipmW34dMboQ5g5P47YrktrMyHK4JVbuKuKdb8voEhHK4+Myz+h/cCmOVjTxxp4SdhTUo1IqGJVh4KY+CVyTHhOQZSTh0olDXh3Up8eqeHpTLuvnDKVbgDat9pc2cP+/jvCPqQMY1v3SgsTh8kbue/8wQ9OiWXpL/wtqHL+7qJ6XNudR2mBncNcofn11KiPOstl5NlVNdo5UNHGi2kye0UKpyUZlk52LyY7VqLznBpKivqvZ380QRkZs2Bknen9KeaONr/Pr2ZZfx8HSBjwtG7039o5nfJ8Eesafe4I9XWvm9d0lbM41og9VkT00lZmDU86r0uTxqmae2niKgjorNw/owsIxGX4JykV1Vv6+vYAdBfVE60K4/cpkpg5M6nQnfzsjEfw7qOU7i1i1p4Sd/zMyYAdvGm0ublj2Dfdd0417RlxcTf/v+yyniqc35nJl1yhenJJ1QQdpnG6JD49U8va+UmrNTtJidEzqm8i4rPgLPnnslmTqLU5fWqfN6cHulvBIMjIyKqWCUJUSbYgKfaiayFA1hvAQIkLVF5QOaHG6OVTexJ4iE98U1VNU770L6W7Q8YtecVzfK+5HG71nc7K6mTf2lLL1tJFwjYqZg1OYPSTlvJbjXB6J13eX8OaeEmLDNfzxpkyuSW976a0tNpeHlbuKWXOgHK1aya+v9k5Ene08QGcmgn8H9eKXp9mca+S/vx3R9pMvwd1rDtFsd7P2riF+2TjbeKKGZzadIkoXwqIbel1wSqHLI/HfU7V8fLSKg2XeKqCZ8eGMSDdwdVo0A5Ij2y0A1Zod5FQ2t2z0NnK8qhmP7L1juLJrFNdmxDIy3XDeDVEOlzfyxp4SdhWa0IeqvPWJzjPog3d56MmNpzhda2Fi3wQevr6nX6pt7i028dx/cqlocnDzgC7MG9k96E/EdkQi+HdQz27KZVdRPZ+3UTPnUrU2R392Yh/GZflnb+FUtZknNp4k32hlZIaB+6/tflH9iSsa7WzOreXrgnqOVDThkWRUCugVr6d3op5eceFkxIX5tWmILMvUW12UN9opMVkpMFrJM3rLN7fuAYSoFPRNjGBwahRDUqMZmBx53mW3JVlmZ0E9b+0t5XBFE9G6EGYPSWH6oOQL2it5c28pr+0uIUqr5rEbMxnd89Lz9u0uD//4upD3D1aQFqPjTzdl+vooCx2PCP4d1NKt+Xx6rIqv/t+1AX0fjyQz572DVDY5eCd7sN9ypFtTNFftKaXZ4WZkhoFpA5MZ3j3mojpstS6xHClv9BVT+34/WLVSQUJEKPHhGgzhGiK16pZyzUpC1d6SzQoFyLJ3WcjZkjve3LLha7I6MVqc1Jidvkbi4A303Q1hZCbo6Z2gp3+XCDIT9Be0pwHewPr58Wre219OsclGl4hQfjW0KzcP6HJBdzJ5RgtPfXGKkzVmxvWJ5+Ff9GyzNv/5yDda+OO/T5BvtDLjymQeHJV+WRqnC4Ejgn8H9d7+Mv76VQGbHhge8M21wjorc947SFKkllemD/Dr+zXb3fzrUDn/OlhBvdVFl4hQJvRNYGxmPJnx4Rd95F6WZeosTgrqrJQ12ilvsFPdbKfO4qTO6qLJ7sbscJ8RyH8oVK0kXKMiUqsmJkxDXLiGeL2G5EgtSVFausXoSInSXtKeS2t/3k+PVdFod9MnQc8dQ7syNjPugl7XI8ms3lfKym+K0WvULLqh5yWdzP6+DceqeGlzHuEaFU+M7+2XPQOh/Yng30EdKmvk3vcPs2RKlt9+yc9lb7GJhz7OIUGvYekt/X9UI/5SuTwS2/Lq+ORoFXtLTL6SB6MyDAzv7s3VD0QNI48k4/J4D3a1/mtXqxRoVMqA9fi1uzxsy6tjw7Eq9pY0oFLAmF5xzLwyhYEpkRc84RXVW3lq4ymOVTYzNjOOP4z1T1VKu8vDks15fJZTzdC0aJ6Z2OeSOp0JPy8i+HdQbo/E+OW7GZoWzYtT+l6W9zxa0cTvPs7B6vIw/7oMpg4MTBP0equT7Xl1bMuvY19JAw63hEoBfRIjGJgSyYCkSPolRdClA/WFdbol9pU08N/cWr46bcTi9JAUGcov+3fhl/27kHARy2mSLLP2QDnLdhQRqlbyyC96Mq5PvF9+JmUNNn6/4Th5tRbuHp7GPSO6tUvDeyFwRPDvwP72VQFrD5Sxfu5VZzQwCSSj2cFTm3LZXWQiMz6c+aMzuDotOmBB2OGWOFzeyP7SBg6WedfzW+u3RGnVZCbo6RUfTo/YcLrHhtEtRkeUH9a4L5UsyxTV29hf2sCeYhN7ixuwujzoQ1WM6RnHpL6JDE6NuuhN6LIGG09vyuVgWSMjMww8dmOvMxrcXIqdBfX86fOTKBTw9MQ+XCuWeTolEfw7sFqzg1tf38fIDMNlu/oHb2D776laXt5eSFWzg/5JEdwxtCujv1dzPlBcHonTtRZyqpo5Ve1tkF5QZz1j7T5KqyYl2rsenxTprb2TGKEhTh9KbEvtl4vtT/BDsizT7HBT1mCnuCX751SNmeNVzb4N56TIUIZ3j2F0jziuSmu7g9i5SLLMB4creXl7AUqFgofG9GBK/0S/TL6yLLNqTynLdxbRKz6cl27ue1Hd24SOQQT/Dm7VnhKW7SjimYl9GO+nVMzz5XBLfJZTxep9ZZQ32jGEhTCuTwLjshLom9j24SV/8UgyFY12iuqtFJtslJpslDV4T/JWNjnO2uwmXKMiSuctLBYeqkbfUtFTq1aiUSlRtxQZUwCSDG5J8pV8sLRmANlc1JodZ3QqUykVZMSGkZWo54rkSK7sGk1qtNYvP4vieivP//c0B8oaGd4thj/e1Mtv9fZtLg9PbzzFl7lGxvWJ5/GbMkU2Tycngn8H55Zk7n//MLm1ZlbMGHhBden9xSPJ7CqsZ8OxKnYW1uPyyCToNVybYWB4dwNDuka121KMJMuYrC6qmx3Umr2neustThpsLhrtbppbsn4sTg82l/ekr8sj4fZ4q0iCtwpl6yawNkSFXuNt6mII0xAb3lJBMkpLaoyOtBid34uWOd0Sq78t5Y3dJWjUShaO9t/VPkBlk52HP84hz2jhwVHp3DG0a4fZSxEungj+nYDR7GDOe4dweiSW3z7Q75k4F6LJ7mJ7fh3b8rybtRbndw00BiRF0q+Lt3FKemyY35ZeOitZltlVaOIvX+VTYrJxQ2Ycv7u+B3F+WtsHb9bY7zccx+mReG5ylljfDyIi+HcSRXVW7vvXYQD+dlv/drkD+CG3R+JYZTMHyho5VN7IscpmmlvKRKuU3iY0GbHhpMfq6G4IIzVGR2q0LqBtKTuK41XNLNtRyJ7iBtJidPzu+h5+z6/fcLSKF748TXKUlqU396N7O140CJefCP6dSFG9lfkfHKXB5uKJ8b0Zexny/y+EJMuUN9g5Ud3M6VoLeUYLBXVWKhvtZ3TGitKq6RqtI7llwzYpMpSkSC1dIr09cztriWBZljlc3sRb+0rZUVBPlFbN3OFpTB+U7NelJLck8/L2At7bX86wbtE8Pznrkns2CB2PCP6djNHs4PcbjnO0spnZQ1KYNzL9Z7+8Ynd5KGuwU9Jgo8xko6zR5quZX3WWDVt9qKolgyeULhFa3/8nRoSSEBFKgl7ToTYrzQ43/z1Vy0dHKjlRbSZKq2bm4BRmDk7x+11Qs93NH/99gm+KTMy4MpkFY3r8ZLMYoXMTwb8Tcrol/ratgHWHKuidoOfJ8b3brBX/c+WRZIwWJ1VNdqqbHVQ1Oagxe/+sanZQ3eygweb60ddF60JI0Gu+myQiz5wk4vWadu0mZTQ7+KbIxPb8OnYV1uP0yGTEhjFtUDJT+iUGZPIqrLPy8Cc5lDfa+f3Yntx2ReC6wAk/fyL4d2Lb8ow895/TNDvczB2Wxp1Xp15wwbGOwO7yUGP2ThA1Zu+EUNPspLplcqhudvj2GlopgJiwkJaJwHu3kNAyKcSFa4gLDyU2PIRIbcglnWxtrQJabLKSV2vlZHUzRyubfLX9E/Qaru8Vx/isBPp1iQhYls2W3Fqe2piLNkTJi1P6cqWoxhn0RPDv5ExWJ0u35rPpZC2p0Vp+94ueQZnRYXG6WyaFH0wOZge1Zm8aaJPd/aOvUyq8PYwjtWrfmYCwEBW6ECUhKm/rR5VS4Ws0bndLWJ0emuwu6q0uapod2L93AC1aF0L/pAgGd43iqrTo82rmcilcHol/fF3Ie/vL6Z8UwYtT+vqtMqvQsYngHyT2FJt4aXMeJSYb16THMP+6jEvqy9sZ2V0eas3e0s11Lf+ZbC7vmQCbm2aHC7PDg9Xlwe7y4PTIuD0SMqBUeCcBrVpJWEslUEPYd1VAu8bo6BEbRuJlrEdUXG/lT5+f5ES1mdsHJbNgTIZonC74iOAfRFweiX8drOC13cVYnR4m9k3k3hHdSI7yzylR4edBkmXWH6rg/7YXEqpW8vhNmVzfK669hyX8zIjgH4QabC5W7Slh/aEKJBl+2b8Lv746VUwCnUBBnYXn/3OawxVNjOgew5/GZfqt4JvQuYjgH8Sqmx2s2lPChmNVSDKM7xPPHVel0lMsB3U4zXY3r+0u5v2DFeg1Kv5ndAaT+/mvBITQ+YjgL1Dd7GD1vlI+OVqF3S0xonsMMwenMLx7jF/63gqBY3V6WHeogrf3ldJsd3PzgC78VjRUF87DZQ3+LpeLxx57jPLycpxOJw888ABjx471Pb5lyxZeeeUV1Go1U6dO5fbbbz+P1xTB318abC4+OFzBukOV1FmcpEZruWVAEhP7JYoOTj8zRouTDw5VsO5QBY12N9ekx/Dbken0TtC399CEDuKyBv8PPviAkydP8sc//hGTycStt97KV199BXgnhokTJ7J+/Xp0Oh2zZs1i+fLlxMefu0SBCP7+5/JIbMk1sv5wBYfKm1ApYFj3GMZnJTAqI1bU3mknHknm25IGPjlWxdbTRtySzKgMA3OGpTEgObK9hyd0MOcK/n7/DR8/fjzjxo3zfaxSfXeKMT8/n7S0NKKivIdPhgwZwrfffsuECRP8PQyhDSEqJeOyvHX5i+qtfJZTzcYTNSz+/BQhKgVDUqMZmW5gWLcYuhl0l21dWZZlLE4PzQ43lu+lXLokGUmSkWRvXr5KqSBEpSBUrSIsREV4qIqIUDXhGlWHWwN3eSQOlDWyPa+OzaeN1FmcRGnVTBuUzPRByaTFiGYrgv/5PfiHh3s3Es1mM/Pnz2fBggW+x8xmMxEREWc812w2+3sIwgXqbgjjwVHp/HZkd45WNLHltJEdBfX879Z8AAxhIQxIiqRvlwh6xofTLcZbkO1C8sklWabR5qLW7KTW4qS22VvCoabZSY3ZgdHipN7qzbf3nKUxy/lSKiBKG0K0LgRDeAhx4Rri9d5TvQn67+oCxelD263ejd3l4VSNmcPlTewva+BAaSN2t0SoWsmI7jGM65PAqB6xnfKktvDzEZB7+8rKSubNm8fs2bOZMmWK7/N6vR6LxeL72GKxnDEZCO1LqVAwMCWKgSlRLBzTg7IGG/tKGnylmrfl1/me21o6wRCmIVKrRhuiJESpRKHwLl04Pd5TsGaHh0a7i0abC88PYvr3yy8kRoTSt0sEMboQonQhRIaqCQ9VoQtR+V5bpVSgUIAse6tWujwSdreEzenB2nK30ORw02hzYbK6qLM4OVrZjNFs9PUE/u57xXdAq3VSaC37EBuuwRDmnUCidCFo1coLvpuwuzwYLU5fjaISk43ieit5RgslJhut81u3GB2T+yUyvLuBYd2iO1SxOqFj83vwNxqNzJ07l8WLFzNixIgzHuvRowfFxcU0NDQQFhbGt99+y9133+3vIQh+0jVaR9doHbe2FAezON3kG62UmmyUN9qoMTtpbOmWZbK6cEsykiyjUigIbTkFG68PJUqnJkYXQkxLsI0L99bYiQu/PIXXZFmm0e6mpqXTV3WznRqzk1qzgxqzk/JGOwfKGn9UG6iVSqlAr1ER1tIGUtNS8sGbJSXjkb1LNw63hMXpwexwn9FvGLyTTXKUlh6x4YzNjCcrMYIByREYRMaO0E78vuH77LPP8sUXX5CRkeH73PTp07HZbMyYMcOX7SPLMlOnTuVXv/pVm68pNnyFy6H1ar3O4sRkdWGyuWiyu2l2eNtA2l0ebC5vn193yx6EUuG9GwlRKX0TXmSomkitmthw72TXJVJLcqT2Z192W+h8RJ6/IAhCEDpX8BeXIoIgCEFIBH9BEIQgJIK/IAhCEBLBXxAEIQiJ4C8IghCERPAXBEEIQiL4C4IgBCER/AVBEIKQCP6CIAhBSAR/QRCEICSCvyAIQhASwV8QBCEIieAvCIIQhETwFwRBCEIi+AuCIAQhEfwFQRCCkAj+giAIQUgEf0EQhCAkgr8gCEIQEsFfEAQhCIngLwiCEIRE8BcEQQhCIvgLgiAEoYAF/8OHD5Odnf2jz69atYpJkyaRnZ1NdnY2BQUFgRqCIAiC8BPUgXjRV199lQ0bNqDT6X70WE5ODkuWLKF///6BeGtBEAThPATkyj8tLY2XX375rI/l5OSwcuVKZs2axYoVKwLx9oIgCEIbAhL8x40bh1p99puKSZMm8eSTT/LWW2+xf/9+tm7dGoghCIIgCOdwWTd8ZVnm17/+NQaDAY1Gw+jRozl+/PjlHIIgCILAZQ7+ZrOZyZMnY7FYkGWZPXv2iLV/QRCEdhCQDd8f+vTTT7FarcyYMYOFCxdy5513otFoGDFiBKNHj74cQxAEQRC+RyHLstzegxAEQRAuL3HISxAEIQiJ4C8IghCERPAXBEEIQiL4C4IgBCER/AVBEIKQCP6CIAhBSAR/QRCEIHRZDnkFo7q6Om677TbeeOMNevTo0d7DCYhbbrmFiIgIALp27coLL7zQziMKjBUrVrBlyxZcLhezZs1i+vTp7T2kgPjwww/56KOPAHA4HJw4cYKdO3cSGRnZziPzL5fLxaJFiygvL0epVPLMM8902t/RcxHBPwBcLheLFy9Gq9W291ACxuFwALB69ep2Hklg7dmzh4MHD7JmzRpsNhtvvPFGew8pYG677TZuu+02AJ566immTp3a6QI/wLZt23C73axdu5adO3fyt7/97SerEHdmYtknAJYsWcLMmTNJSEho76EEzMmTJ7HZbMydO5c777yTQ4cOtfeQAmLHjh1kZmYyb9487r//fsaMGdPeQwq4o0ePkpeXx4wZM9p7KAGRnp6Ox+NBkiTMZvNPViDu7ILzuw6gDz/8EIPBwKhRo1i5cmV7DydgtFotd999N9OnT6eoqIh7772XjRs3drpfJJPJREVFBcuXL6esrIwHHniAjRs3olAo2ntoAbNixQrmzZvX3sMImLCwMMrLy5kwYQImk4nly5e395Dahbjy97MPPviAXbt2kZ2dzYkTJ/jDH/5AbW1tew/L79LT0/nlL3+JQqEgPT2d6OjoTvl9RkdHM3LkSDQaDRkZGYSGhlJfX9/ewwqYpqYmCgoKGD58eHsPJWDefPNNRo4cyaZNm/jkk09YtGiRbxkzmIjg72fvvvsu77zzDqtXryYrK4slS5YQHx/f3sPyu/Xr1/Piiy8CUF1djdls7pTf55AhQ/j666+RZZnq6mpsNhvR0dHtPayA2bdvH9dcc017DyOgIiMjfYkKUVFRuN1uPB5PO4/q8utc9+jCZTNt2jQeffRRZs2ahUKh4Pnnn+90Sz4A119/Pfv27WPatGnIsszixYtRqVTtPayAKSwspGvXru09jIC66667eOyxx5g9ezYul4uFCxcSFhbW3sO67ERJZ0EQhCAkln0EQRCCkAj+giAIQUgEf0EQhCAkgr8gCEIQEsFfEAQhCIngLwS1RYsWsX379jY/d7EqKirYsmULANnZ2eTn55/z+UVFRSxduvSi32/NmjV88803F/31QvAQwV8QAmj37t0cOHDgvJ+/ZMkS5syZc9HvN336dJYtWxaUh5aEC9P5TuUInVJhYSGPPvooarUalUrFSy+9RGJiIkuXLmXfvn3Issxdd93FhAkTyM7OJj09ncLCQmRZ5q9//SsGg4HFixdTVVWFyWTiuuuuY8GCBed8T5fLxRNPPEFxcTGSJLFgwQKGDRvGlClTuPrqqzl16hQKhYJly5ah1+t56qmnOHbsGHFxcZSXl/PKK6+wcuVK7HY7V155JQCvvPIKRqMRm83GX/7yF1JTU33vV1BQgCzLGAwGAJYtW8aXX36Jx+Nh1qxZjBw5koULF5KUlERZWRmTJk3i9OnTHD9+nDFjxvDQQw+hVqvp168fX331FWPHjg3Y34fQ8Ykrf6FD2LVrF/369WPVqlXcf//9NDY2sm3bNsrKyli7di1vv/02y5cvp6mpCYDBgwezevVqJkyYwIoVK6isrGTQoEG8/vrrrFmzhjVr1rT5nuvWrSMmJoZ3332XZcuW8fTTTwNgsViYNGkS77zzDgkJCWzfvp3NmzfT0NDA+vXref7556msrESpVPKb3/yGyZMn+wLx6NGjefvtt7nuuuvYuHHjGe+3b98+evfuDcDx48fZvn0769atY+3ateTl5SHLMqWlpTz33HOsWLGCv//97yxatIh169axfv163+v07t2bvXv3+uXnLnRe4spf6BCmTZvGq6++yj333ENERAQLFy4kNzeXnJwcsrOzAXC73VRUVAD4CpMNHjyYLVu2EB0dzdGjR9m9ezd6vR6n09nme+bm5rJ//36OHDnie32TyQRA3759AUhKSsLhcFBeXs6gQYMAMBgMZGRknPU1+/fvD0BcXBxGo/GMx0wmE7GxsYD3TueKK65ApVKh0+l4/PHHKSsrIzU1lYiICDQaDXFxcb46Q9+vMhofH8/u3bvb/P6E4Cau/IUOYfPmzQwZMoS33nqL8ePH89prr5GRkcGwYcNYvXo1b731FhMmTPDVpTl27BgABw4coGfPnnz44YdERESwdOlS5s6di91up63KJhkZGUyaNInVq1fz6quvMn78eKKiogB+VNK5V69evp4GjY2NFBUVAaBUKpEk6by+x9jYWN+dS0ZGBsePH0eSJFwuF3PmzMHpdJ5XKemmpibf0pEg/BRx5S90CP379+eRRx7h5ZdfRqlU8uijj9K3b1/27t3L7NmzsVqt3HDDDej1egA++ugj3nzzTXQ6HS+99BJGo5GHHnqI/fv3o9Pp6NatGzU1Ned8z5kzZ/L4449zxx13YDabmT17Nkrl2a+XxowZw/bt25k5cyZxcXFotVpCQkLIzMzkn//8J/369Wvze7z66qt57rnnAMjKymLUqFHMmjULSZKYNWsWGo3mvH5Whw8f5tprrz2v5wrBSxR2Ezqd7OxsnnzyycvalzU/P5+TJ08yadIkTCYTkydPZuvWrecdsFvdf//9PPvss8TFxV3UONxuN3PmzOHNN9/s1NVHhUsnln0EwQ+SkpL47LPPuP3227nnnnt4+OGHLzjwAzzyyCOsWrXqosfx/vvvc99994nAL7RJXPkLgiAEIXHlLwiCEIRE8BcEQQhCIvgLgiAEIRH8BUEQgpAI/oIgCEHo/wMuJ87mH7R2DgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(x='sepal length (cm)',\n",
    "            y='sepal width (cm)',\n",
    "            data=dataframe)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "LrOJ8SftL-kC"
   },
   "source": [
    "## 10. Joint Distribution Plot\n",
    "\n",
    "Joint distribution plots combine information from scatter plots and histograms for bi-variate distributions. We also join a Density plot onto it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 458
    },
    "id": "R86mw6wRMKtP",
    "outputId": "ba7bffcc-a620-4c28-9e70-b9a4e0f75cd1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x1ec002fdc10>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "h= sns.jointplot(x='petal length (cm)',\n",
    "              y='petal width (cm)',\n",
    "              hue=\"Species\",\n",
    "              data=dataframe)\n",
    "\n",
    "h.plot_joint(sns.kdeplot, \n",
    "             color=\"r\", \n",
    "             zorder=0, \n",
    "             levels=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "colab": {
   "collapsed_sections": [],
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}