{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Предварительные действия"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Импортируем необходимые библиотеки\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "from IPython.display import display\n",
    "plt.rc('font', family='Verdana')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>возраст</th>\n",
       "      <th>образование</th>\n",
       "      <th>стаж</th>\n",
       "      <th>проживание</th>\n",
       "      <th>доход</th>\n",
       "      <th>статус</th>\n",
       "      <th>дефолт</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41</td>\n",
       "      <td>незак. высшее</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "      <td>176</td>\n",
       "      <td>постоянный</td>\n",
       "      <td>да</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>27</td>\n",
       "      <td>неполное среднее</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>31</td>\n",
       "      <td>постоянный</td>\n",
       "      <td>нет</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>40</td>\n",
       "      <td>среднее</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>55</td>\n",
       "      <td>постоянный</td>\n",
       "      <td>нет</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>41</td>\n",
       "      <td>среднее</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>120</td>\n",
       "      <td>постоянный</td>\n",
       "      <td>нет</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24</td>\n",
       "      <td>среднее специальное</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>постоянный</td>\n",
       "      <td>да</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   возраст          образование  стаж  проживание  доход      статус дефолт\n",
       "0       41        незак. высшее    17          12    176  постоянный     да\n",
       "1       27     неполное среднее    10           6     31  постоянный    нет\n",
       "2       40              среднее    15          14     55  постоянный    нет\n",
       "3       41              среднее    15          14    120  постоянный    нет\n",
       "4       24  среднее специальное     2           0     28  постоянный     да"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Считываем данные\n",
    "data = pd.read_csv(\"C:/Trees/Visualizations.csv\", encoding='cp1251', sep = ';')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 700 entries, 0 to 699\n",
      "Data columns (total 7 columns):\n",
      "возраст        700 non-null int64\n",
      "образование    700 non-null object\n",
      "стаж           700 non-null int64\n",
      "проживание     700 non-null int64\n",
      "доход          700 non-null int64\n",
      "статус         700 non-null object\n",
      "дефолт         700 non-null object\n",
      "dtypes: int64(4), object(3)\n",
      "memory usage: 38.4+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# Проверяем наличие пропусков и типы переменных\n",
    "print(data.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Построение графиков с помощью matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение гистограммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x1f647c062b0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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P6bweOLfG/f0YuLvK4/aeKsvulMz7WmraNoQDVx9PblcAU5K6lw1jLM8jHJ2/hHCAZy/h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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f647bcc5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Строим гистограмму распределения по возрасту\n",
    "data.возраст.hist()\n",
    "plt.title('Гистограмма распределения по возрасту')\n",
    "plt.xlabel('Возраст')\n",
    "plt.ylabel('Частота')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение круговой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "образование\n",
       "высшее                 163\n",
       "незак. высшее           22\n",
       "неполное среднее        34\n",
       "среднее                283\n",
       "среднее специальное    198\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Вычисляем частоты значений переменной \"образование\", на основе которых\n",
    "# мы сформируем сектора будущей круговой диаграммы\n",
    "agr_ed=data.groupby(['образование']).size()\n",
    "agr_ed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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R4+7GvFj0m2Nq1QdFRAa0j09tIOZ5+cCXw45FREmxSN9yvW828uZJ9ZF8X3+e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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f647fa6b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Создаем список из 5 цветов по количеству будущих секторов\n",
    "colors = [\"#E13F29\", \"#D69A80\", \"#D63B59\", \"#AE5552\", \"#CB5C3B\"]\n",
    "\n",
    "# Создаем круговую диаграмму\n",
    "plt.pie(\n",
    "    # используем частоты значений переменной \"образование\"\n",
    "    agr_ed,\n",
    "    # задаем список меток\n",
    "    labels=[\"высшее\", \"незаконченное высшее\", \"неполное среднее\", \"среднее\", \"среднее специальное\"],\n",
    "    # без использования тени\n",
    "    shadow=False,\n",
    "    # задаем список цветов\n",
    "    colors=colors,\n",
    "    # один сектор отделяем от других\n",
    "    explode=(0, 0, 0, 0, 0.15),\n",
    "    # задаем начальный угол в градусах\n",
    "    startangle=90,\n",
    "    # выводим значения в виде процентов\n",
    "    autopct='%1.1f%%'\n",
    "    )\n",
    "\n",
    "plt.axis('equal')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение простой столбиковой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IOg5tDRxKs3Plz5j4/42m7nSaFWo/B7wQ2BL4q04rGgAvHwzAuNXexhvJwSld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\nAPj/AQjO9IkjKxEkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f647fa1c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_bar_plot = agr_ed.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение кластеризованной столбиковой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1f64906eda0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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WSZIkDQG9vcT/PLAR8DmyB/XfVFT3eEQsAi4he1i/JEmS1Gu9fQ7qXKCBbMT0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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f6490779e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.crosstab(data.образование, data.дефолт).plot.barh(stacked=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение состыкованной столбиковой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1f648010da0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kqT50ewQ1pfReRHwcWA04D9geOBT4KzAQ2AO4OCIWpZSuXgGxSpIkqQ709BL/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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f648045400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.crosstab(data.образование, data.дефолт).plot.barh(stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение диаграммы рассеяния"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 500.0)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lJpJaE1jfBHzXzP5rcYOZzQG2UgphRUREajJnzpzwX/dX7AlWGpk7d27T7l1slRkevp2g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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f6490fa240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot.scatter(x='возраст', y='доход')\n",
    "plt.xlim(0)\n",
    "plt.ylim(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Построение графиков с помощью seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Импортируем библиотеку seaborn, предварительно установив ее в Anaconda Prompt с помощью\n",
    "# команды conda install -c anaconda seaborn=0.7.1\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение столбиковой диаграммы с настройками по умолчанию"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1AAAUnqgFAKDwRC0AAIUnagEAKDxRCwBA4YlaAAAKT9QCAFB4ohYAgMITtQAA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\nE7UAABSeqAUAoPD+fzycEu60ogGSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f649d334e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot=sns.countplot(x='дефолт', data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение столбиковой диаграммы (изменена ориентация меток оси x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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A8Si1AAAAMB6lFgAAAMaj1AIAAMB4lFoAAAAYj1ILAAAA41FqAQAAYDy3L7Ub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\nLx8fH8f2jRs3WhUNLnK9ObU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hoaHXHL/8pEjAk/GYXA/w/vvvy2azlRgvLCzUF198YUEi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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f649d27e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Устанавливаем угол поворота меток вокруг оси x в 90 градусов\n",
    "plt.xticks(rotation=90)\n",
    "plot=sns.countplot(x='образование', data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение столбиковой диаграммы (задана процентная шкала)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Случай 1. Количественная переменная"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.text.Text at 0x1f649e4c198>]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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y5YqOjpYkJSQkqLS0VI899phGjhypsLCwCo8PDw9TRES4SgKcIyIiXJGR4b7bxUHMCtZs\nERGBP8F99Gy2ZNk8W9msYLN5NgAAqpqjYrpixQolJSUpMrL84UVFRVq4cKG6du3qV96RUnpEs2bN\nVFRUpP3796tOnToVHhsbW1PR0TW0z6/PeLwZaqhOnZq+23uDmLU7SLNFR9fQgSBlHbltS5bNs5XN\nCjabZwMAoKo5KqZ9+vTRd999d8y76NPT0zVs2DC/iunSpUv16KOPavHixb5LRK1bt04xMTEnLaWS\ntHfvQeXlFfq3gOPIyyvUvn0HfbdtySqbFyrrtG22slnBZvNsAAAES2WfRKl0MX377bc1adIkSZIx\nRlddddVxP65169aVjZQkJSUlqUaNGnr88cf14IMPKisrS1OmTNEDDzxQqeNLS41KSkr9+pzHU1JS\nquLiUt9tW7LK5oXKOm2brWxWsNk8GwAAVa3SxbR3796KiYlRaWmpRo0apZEjR6p27dq+/x8WFqaz\nzz5bV1xxhV8D1KxZUzNnztQzzzyjW2+9VTVr1lSvXr3Ut29fv3IAAABweqt0MY2MjNTNN98s6ZcS\neuONNwbt3zVv1qyZZs6cGZQsAAAAnJ4cnWN6yy23aNu2bVq9erW8Xu8x//9IgQUAAAAqy1Ex/fDD\nDzV27FiVlBx7IaSwsDCKKQAAAPzmqJi+9tpr6tWrl4YMGaJatWoFeyYAAACEIEdX5t61a5fuu+8+\nSikAAACCxlExbdGihdLT04M9CwAAAEKYo5fy77//fo0bN07Z2dm66KKLjnl3fkpKSlCGAwAAQOhw\nVEwHDRokSXr66aeP+X9hYWFav359YFMBAAAg5DgqpgsWLAj2HAAAAAhxjoppw4YNJUler1c5OTlq\n0qSJjDE666yzgjocAAAAQoejNz8ZY/Tcc88pJSVF3bt3V25uroYPH67HH39chw8fDvaMAAAACAGO\niumsWbP02WefacyYMb43PnXu3Fnz58/XK6+8EtQBAQAAEBocFdM5c+Zo9OjR6tmzp8LCwiRJN9xw\ngyZMmKAvvvgiqAMCAAAgNDgqpjk5OWrRosUx9yckJGjXrl0BDwUAAIDQ46iYNmzYUGlpacfcv3jx\nYjVu3DjgoQAAABB6HL0rv1+/fho7dqx27dolY4yWLVumOXPmaNasWRoxYkSwZwQAAEAIcFRMf//7\n36u4uFjTpk3Tzz//rNGjRys2NlYPP/yw7rzzzmDPCAAAgBDgqJhK0h133KFbbrlFBQUFMsaouLhY\n9evXD+ZsAAAACCGOzjHdu3ev+vTpo7/+9a+KjY1VXFycbrnlFvXt21cHDhwI9owAAAAIAY6K6dNP\nP63CwkLdeOONvvtmzJih/Px8TZo0KWjDAQAAIHQ4KqZLly7V+PHjdckll/juS0xM1JgxY7Rw4cJg\nzQYAAIAQ4qiYlpSUyBhzzP1nnXWWCgsLAx4KAAAAocfRm59SUlL0/PPP64UXXlCtWrUkSQUFBXrp\npZeUkpIS1AEBm3i9Xnk8x17D1x+Jia18/5QvAAD4laNiOmLECN19993q2LGjmjZtKknaunWrYmJi\n9MYbbwRzPsAqHk+a/vbxQDVoWMvR8du3FehuvaKkpOQgTwYAwOnPUTG94IIL9PXXX+urr77Spk2b\nFBkZqTvvvFM33XSTqlevHuwZAas0aFhLTS86x+0xAAA44zgqpgMHDtSQIUPUq1evYM8DAACAEOXo\nzU///ve/Va1atWDPAgAAgBDmqJjecssteu6557Rp0yZ5vd5gzwQAAIAQ5Oil/EWLFikrK0vffPPN\ncf//+vXrAxoKgP9svmJAoLNxJQMACA2OiumAAQOCPQeAAHk8aXrxs4d0bmNnVwzYnV2ghzX1lFwx\nwONJ09AvJ6pW4zi/jy3I3qPnNIIrGQBACHBUTG+55ZZgzwEgCM5tXEvnN7fzigG1Gscp5uLz3B4D\nAGAxR+eYSr+8nN+nTx9dffXV2rZtm6ZOnarPPvssmLMBAAAghDgqpt99950GDhyoBg0aKC8vT6Wl\npSouLtbIkSP16aefBntGAAAAhABHxXTq1Kl69NFHNXHiREVEREiShgwZoiFDhmjmzJlBHRAAAACh\nwVEx3bhxo1JTU4+5//rrr1dWVlbAQwEAACD0OCqmtWvX1k8//XTM/enp6TrnHDvfeAEAAAC7OSqm\nN910k5555hlt2LBBYWFhOnjwoBYvXqzx48frhhtuCPaMAAAACAGOLhf18MMPa8eOHbr55psl/XL5\nKGOMrr32Wg0ZMsTxMP3791dcXJyeffZZxxkAAAA4PflVTHfs2KF58+apWrVqGjZsmAYPHqx169ap\ntLRUl1xyiZo3b+54kK+++kqLFy/mGqkAAAAhqtLFdOXKlbr//vv1888/S5LOPvtsvfzyy7r++usD\nHuLAgQOaMmWKWrduHXAWAAAATk+VPsf0pZdeUocOHbR48WJ99913uuaaazRx4sSgDDFp0iT16NFD\nzZo1C0oeAAAATj+VLqbr1q3To48+qnr16ikuLk6jRo1SRkaGCgoKAhpg2bJlWrVqlR588MGAcgAA\nAHB6q/RL+YcOHVJMTIzv9/Xr19dZZ52lAwcOqFatWo4+udfr1VNPPaUxY8YoKirKUUZ4eJgiIsJV\n4ujoX0VEhCsyMtx3uziIWcGaLSLC8b8ge8LZbMmyebZQWefRecEUzHUCAM5clS6mxhiFhYWVuy8i\nIkKlpaWOP/nUqVPVsmVLXXnllY4zYmNrKjq6hvY5TvhFdHQN1alT03d7bxCzdgdptujoGjoQpKwj\nt23Jsnm2UFnn0XnBFMx1AgDOXI4uFxUs//jHP7Rnzx4lJSVJkg4fPixJ+uabb/Sf//ynUhl79x5U\nXl5hwLPk5RVq376Dvtu2ZJXNC5V12jZbqKzz6LxgCuY6AQCnn8o+ueBXMX3zzTdVo8avz3wUFxfr\n3XffPeZfexo4cGCl8mbPnq3i4l9fNJ8yZYokadiwYZWeqbTUqKTE+bO2R5SUlKq4uNR325assnmh\nsk7bZguVdR6dF0zBXCcA4MxV6WLaoEEDff311+Xuq1u3rhYsWFDuvrCwsEoX0/PPP7/c72vW/KVN\nN27cuLJjAQAA4AxR6WL67bffnso5AAAAEOJcPcf0aPxTpAAAAKHLqmIKACfj9Xrl8aQFlJGY2Mrx\nJeoAAKcOxRTAacXjSdPQL15Rrcb1HR1fkL1Tz2mgkpKSgzwZACBQFFMAp51ajesr5uJGbo8BAAgy\n/ikVAAAAWIFiCgAAACtQTAEAAGAFzjEFcAze+Q4AcAPFFMAxPJ40Df/yIdVuUsvR8flZBZqkqbzz\nHQDgF4opgOOq3aSWYi4+x+0xAAAhhHNMAQAAYAWKKQAAAKxAMQUAAIAVKKYAAACwAm9+AgALccku\nAKGIYgoAFvJ40jTss/dVu3FDR8fnZ2/TFIlLdgE4rVBMAcBStRs3VEzzZm6PAQBVhnNMAQAAYAWK\nKQAAAKxAMQUAAIAVKKYAAACwAsUUAAAAVqCYAgAAwAoUUwAAAFiBYgoAAAArUEwBAABgBYopAAAA\nrEAxBQAAgBUopgAAALACxRQAAABWoJgCAADAChRTAAAAWIFiCgAAACtQTAEAAGAFiikAAACsQDEF\nAACAFawopllZWerXr5+SkpKUmpqqmTNnuj0SAAAAqlik2wMYY9S/f3+1adNGn332mbZu3apHHnlE\n5513nm688Ua3xwMAAEAVcf0Z0927d+vSSy/VmDFj1KRJE3Xs2FEdOnTQqlWr3B4NAAAAVcj1Ylq3\nbl09//zzOvvssyVJq1at0ooVK3T55Ze7PBkAAACqkusv5ZeVmpqq3NxcXXvtterSpYvb4wAAAKAK\nWVVMp06dqt27d2vMmDF6+umn9cQTT5z0mPDwMEVEhKskwM8dERGuyMhw3+3iIGYFa7aIiMCf4D56\nNluybJ4tVNZZNi9U1mmzUFknAJRlVTFNTEyUJI0cOVLDhg3TiBEjFBlZ8YixsTUVHV1D+wL83NHR\nNVSnTk3f7b1BzNodpNmio2voQJCyjty2Jcvm2UJlnWXzQmWdNguVdQJAWa4X0z179ui///2vOnfu\n7LuvefPmOnz4sAoKChQTE1Ph8Xv3HlReXmHAc+TlFWrfvoO+27Zklc0LlXXaNluorLNsXqis02ah\nsk4AoaGyf0l2vZjm5OTooYce0qJFi1SvXj1JUlpammJjY09aSiWptNSopKQ04DlKSkpVXFzqu21L\nVtm8UFmnbbOFyjrL5oXKOm0WKusEgLJcP/moVatWatmypUaNGqWMjAwtWrRIzz33nAYMGOD2aAAA\nAKhCrj9jGh4erldffVXjx49Xr169VKNGDfXp00e9e/d2ezQAAABUIdeLqfTLtUxffvllt8cAAACA\ni1x/KR8AAACQKKYAAACwBMUUAAAAVqCYAgAAwAoUUwAAAFiBYgoAAAArUEwBAABgBSuuYwoAZwKv\n1yuPJ83x8YmJrRQVFRXEiQDg9EIxBYAg8XjSNOzzd1WrcQO/jy3I3q4p6qOkpORTMBkAnB4opgAQ\nRLUaN1BM8wvdHgMATkucYwoAAAArUEwBAABgBYopAAAArEAxBQAAgBUopgAAALACxRQAAABWoJgC\nAADAChRTAAAAWIFiCgAAACtQTAEAAGAF/klSAIBfvF6vPJ60gDISE1spKioqSBMBOFNQTAEAfvF4\n0jT8s89Vu/EFjo7Pz87UJElJScnBHQzAaY9iCgDwW+3GF6hO80vcHgPAGYZzTAEAAGAFiikAAACs\nQDEFAACAFSimAAAAsALFFAAAAFagmAIAAMAKFFMAAABYgWIKAAAAK1BMAQAAYAWKKQAAAKxAMQUA\nAIAVKKYAAACwAsUUAAAAVnC9mO7cuVODBg3S5Zdfrk6dOmnixInyer1ujwUAAIAqFun2AIMGDVJM\nTIzee+897d+/X6NGjVJERISGDRvm9mgAAACoQq4+Y7p582atWbNGzz77rJo1a6bk5GQNGjRIX375\npZtjAQAAwAWuFtO6devqjTfeUGxsrO8+Y4zy8/NdnAoAAABucLWY1q5dW1dddZXv98YYzZ49W1de\neaWLUwEAAMANrp9jWtbkyZO1YcMGffLJJ5U+Jjw8TBER4SoJ8HNHRIQrMjLcd7s4iFnBmi0iIvC/\nRxw9my1ZNs8WKussmxcq65Qkr9ertWvTHGe1bNlKUVFRQZntVK4zmGyeDcDpzZpiOmXKFM2aNUsv\nvviimjVrVunjYmNrKjq6hvYF+Pmjo2uoTp2avtt7g5i1O0izRUfX0IEgZR25bUuWzbOFyjrL5oXK\nOiVpxYp1emTu66rV5Dy/cwqyduiN6MFKSUkJymyncp3BZPNsAE5vVhTT8ePHa86cOZoyZYo6d+7s\n17F79x5UXl5hwDPk5RVq376Dvtu2ZJXNC5V12jZbqKyzbF6orPPI7VpNzlNM8wtcn+1UrjOYbJ4N\ngJ0q+xdR14vpK6+8ojlz5uiFF17Qdddd5/fxpaVGJSWlAc9RUlKq4uJS321bssrmhco6bZstVNZZ\nNi9U1mnbbKdyncFk82wATm+uFtOMjAxNmzZNf/zjH5WUlKTdu3990fvcc891cTIAAABUNVeL6YIF\nC1RaWqpp06Zp2rRpkn55Z35YWJjWr1/v5mgAAACoYq4W0/79+6t///5ujgAAQJXwer3yeJxfASIx\n8dcrQABnKtfPMQUAIBR4PGma8cWPqt843u9jd2Zv1AOSkpKSgz8YYBGKKQAAVaR+43g1vrit22MA\n1uLqxgAAALACxRQAAABWoJgCAADAChRTAAAAWIE3PwFACLD1UkWBziVxGSXgTEIxBYAQ4PGk6bHP\nPlbtxo39PjY/O1uTdWouVeTxpGnE5/9UdOMLHR2fl71FE8VllIAzBcUUAEJE7caNFdO8udtjHCO6\n8YWq0zzB7TEAWIBzTAEAAGAFiikAAACsQDEFAACAFSimAAAAsALFFAAAAFagmAIAAMAKFFMAAABY\ngWIKAAAAK1BMAQAAYAWKKQAAAKxAMQUAAIAVKKYAAACwAsUUAAAAVqCYAgAAwAoUUwAAAFiBYgoA\nAAArUEwBAABgBYopAAAArEAxBQAAgBUopgAAALACxRQAAABWoJgCAADAChRTAAAAWIFiCgAAACtE\nuj0AAACfBrERAAAfkUlEQVQ28nq98njSAspITGylqKioIE0EnPkopgAAHIfHk6YnP1+pc5pc7Oj4\nA1mbNF5SUlJycAcDzmBWFVOv16vf//73Gj16tFJSUtweBwAQ4s5pcrHimrdxewwgZFhzjqnX69Uj\njzyi9PR0t0cBAACAC6wophkZGbr99tuVk5Pj9igAAABwiRXF9IcfflCHDh00Z84cGWPcHgcAAAAu\nsOIc0zvvvNPtEQAAAOAyK4ppIMLDwxQREa6SAHMiIsIVGRnuu10cxKxgzRYREfgT3EfPZkuWzbOF\nyjrL5oXKOm2bLVTWWTYv2OsMJpu/BsCZ6rQvprGxNRUdXUP7AsyJjq6hOnVq+m7vDWLW7iDNFh1d\nQweClHXkti1ZNs8WKussmxcq67RttlBZZ9m8YK8zmH6ZLbCfLsf+uR0MShZwpjrti+nevQeVl1cY\ncE5eXqH27Tvou21LVtm8UFmnbbOFyjrL5oXKOm2bLVTWWTYv2OsMJpu/BsDpprJ/qTrti2lpqVFJ\nSWnAOSUlpSouLvXdtiWrbF6orNO22UJlnWXzQmWdts0WKussmxfsdQaTzV8D4EzFySoAAACwgnXF\nNCwszO0RAAAA4ALrXspfv3692yMAAADABdY9YwoAAIDQRDEFAACAFSimAAAAsALFFAAAAFagmAIA\nAMAKFFMAAABYgWIKAAAAK1h3HVMAAJzyer3yeNIcH5+Y2EpRUVFBnOjUCJV1IvRQTAEAZwyPJ02j\nPl+o6MbN/D42LztDz0hKSkoO/mBB5vGk6ePP09SoSbzfx+ZkbZR0eqwToYdiCgA4o0Q3bqbY5olu\nj3HKNWoSr4uaJ7k9BhBUnGMKAAAAK1BMAQAAYAWKKQAAAKzAOaYAAISwQN/hL/EufwQPxRQAgBDm\n8aTpn3PTdEHjBEfHZ2ZvkMS7/BEcFFMAAELcBY0TdEkz3uEP93GOKQAAAKxAMQUAAIAVKKYAAACw\nAsUUAAAAVuDNTwAAIGgCvfwUl56yS1V/PSmmAAAgaDyeNC36ME0XNYz3+9jN2zZKt3PpKZt4PGna\nMOtTxZ/fxO9jN+ZmSff49/WkmAIAgKC6qGG8WlzE5afOFPHnN1HSBRdXyefiHFMAAABYgWIKAAAA\nK1BMAQAAYAWKKQAAAKzAm58AAMAZL9DLHkmnz6WsTudLdlFMAQDAGc/jSZNn5o+6pL7/l7GSpP/t\n3Cj1Oz0uZeXxpGnDu18r/rymfh+7ccdWqY9766SYAgCAkHBJ/Xi1bdzW7TGqRPx5TZV0QYLbY/iN\nc0wBAABgBYopAAAArEAxBQAAgBUopgAAALACb34CAABWsvkST8G8JJPN66xqVhRTr9erp556SvPm\nzVP16tXVt29f3XfffW6PBQAAXOTxpGnF31ar2fnOLvGUkbtRuvvUXPrI40nT+jeXKb5+c7+P3bgz\nXer761weT5rWv/1/ij/vIkezbNyxWbr39LiU1clYUUwnTZqkdevWadasWcrJydHw4cPVsGFDdenS\nxe3RAACAi5qdH69WTZPcHuO44us3V9smrYKTdd5FSmpyaVCyTmeun2NaWFiojz/+WE888YQSEhLU\nuXNn3X///Zo9e7bbowEAAKAKuV5MN2zYoJKSErVt++sFb5OTk7VmzRoXpwIAAEBVc72Y7tq1SzEx\nMYqM/PWsgri4OBUVFWnfvn0uTgYAAICq5Po5poWFhce8i6zsu9ROJjw8TBER4VqXm+N4ho25Obo0\nIlyRkb/09IiIcHlydzjM2qHEo7LWbd/tfLbtu9Xq/+dFRIRrU26+46xNuflqd9Rsm7c7y9u8PV+N\njsraur3A8Wxbtxco/qi8rG3OZsvalq+ko7K2OZxt2/YCRRyVtX2b83Vu33Zs3s4cZ3k7cwoU0aF8\n1u5s57Ptzi5QRMqv32v5Wc6z8rMKFJFUfraC7D2Osgqy9yjisqOzdjqerSB7pyKSj8rLcrbfC7J2\nHJuVvd3hXNsV0a58Vn72NkdZkpSfvc339fw1L9thVrYiUjoclZUZwGyZikhJ8n2v5WVvcZyVl71F\nEe1alJstLzvDYVaGItpdUC7rQNYmx7MdyNqkiOT25fd79kZHWTuzNyoi+bJyWTlZzrJysjYqIrlN\nuazM7A2OsiQpM3uDWl5ePm/zNmezbd62UU0jymdl5DrLkn5581PdiF+/1zw7nWf9b+dGtY4o/zVY\nvzPdUdbGnelqGVG/fNaOzY5n27hjs1pGXFi+x+zY6jBrqxIjEo/qRFnOsnKzlBjRzpdVGWHGGOPo\nswXJP//5T02YMEFLly713ZeRkaHu3btr+fLlio6OdnE6AAAAVBXXX8qvX7++9u/fr9LSUt99u3fv\nVvXq1SmlAAAAIcT1YtqiRQtFRkbqxx9/9N23cuVKtWzZ0sWpAAAAUNVcL6bVq1dXjx49NGbMGKWl\npWn+/Pl666239Ic//MHt0QAAAFCFXD/HVJJ+/vlnjR07Vt98841q166t+++/X/fcc4/bYwEAAKAK\nWVFMAQAAANdfygcAAAAkiikAAAAsQTEFAACAFSimAAAAsALFFAAAAFY444up1+vVqFGjlJKSomuu\nuUZvvfVWUDJvuukmrVixwnHGzp07NWjQIF1++eXq1KmTJk6cKK/X6zgvKytL/fr1U1JSklJTUzVz\n5kzHWWX1799fI0eODChj/vz5SkhIUIsWLXz/HTx4sKMsr9ersWPHqn379rr66qv1wgsvOMqZO3fu\nMTMlJCTo0ksvdZQnSTt27NCf/vQnJScn67e//a3eeecdx1l79+7VoEGDlJKSoq5du2ru3LmOco73\nvZqTk6P77rtPSUlJ6t69u7777jvHWUds3rxZSUlJAc31448/qlevXkpKSlK3bt300UcfBZS3ZMkS\n9ejRQ23atNHNN9+sxYsXO846oqCgQB07dtSnn34a0GwTJkw45vvvb3/7m6Os3NxcPfDAA2rbtq26\ndu2qr7/+2tFcI0eOLDfTkV/33nuv43WuXLlSPXv2VFJSkm655RYtW7bMcdbatWt93x+9evXS6tWr\nK8yo6DHWyR6ozGN2Zmam2rRpE1CWv/ugoiwne6Ay66zsPqgoy8keqCjP331QNqtjx46aNGmSvF6v\no31Q0VxO9kBFef7ug4q6gZN9UJmuUdl9cELmDDdu3DjTo0cPs379ejNv3jxz2WWXmW+++cZxXlFR\nkXnwwQdNQkKC+eGHHxzn3H777aZ///4mPT3drFy50nTp0sVMnjzZUVZpaanp2rWreeyxx0xmZqZZ\ntGiRSU5ONl9++aXj+Ywx5ssvvzTx8fFmxIgRAeVMmzbNDBgwwOzZs8fs3r3b7N692+Tn5zvKevLJ\nJ03Xrl1NWlqaWbZsmbniiivMnDlz/M4pKiryzbJ7926Tm5trunTpYiZOnOhoLmN++Zo+8sgjJjMz\n08yfP9+0bdvWzJs3z1HWHXfcYe644w6zfv16s3DhQtO+fXu/s070vfq73/3OPPbYYyYjI8NMnz7d\ntG3b1uTm5jrKMsaYnJwc06VLF5OYmOh4rl27dpmUlBTzwgsvmMzMTPPVV1+Z1q1bm4ULFzrKy8zM\nNG3atDHvvPOOyc7ONm+99ZZp2bKl2bZtm+N1GvPL919CQoKZO3eu47UaY8x9991nZsyYUe578Oef\nf/Y7q7i42HTv3t08+OCDZsuWLeaDDz4wiYmJZtOmTX5n5efnl5vnxx9/NK1btzYLFixwtM49e/aY\ndu3amTfffNNkZ2eb1157zbRt29bs2LHDcdbo0aPN5s2bzVtvvWWSkpIq/L6t6DH2pptu8nsPnOwx\ne/v27aZr164mISHhpH9eJ8pysg9OlOV0D1TmZ1Nl90FFWU72wInynOyDE2U52QcnynK6B06WV9l9\ncLJu4O8+qEzX8GcfnMgZXUwPHTpkWrdubVasWOG779VXXzX33HOPo7z09HTTo0cP06NHj4CKaUZG\nhklISDB79uzx3ffll1+ajh07Osr76aefzJAhQ8zBgwd99w0cONCMHTvWUZ4xxuzfv9906tTJ3Hbb\nbQEX06FDh5rnn38+oIwjMyUmJpb7er7++utm1KhRAWe/9tprpkuXLsbr9To6/sCBAyY+Pr7cA+FD\nDz1kxo8f73dWWlqaSUhIMDk5Ob77Xn/9dXPHHXdUOuNE36vff/+9SUpKKvcD4N577zVTp071O8sY\nY/75z3+aK664wvTo0aNSxfREWe+//7654YYbyn3sk08+aYYOHeoob/ny5eaZZ54p97Ht27c3X3/9\ntaN1GmPMihUrTJcuXczVV19dqWJaUV7Hjh3Nd999d9KMk2XNnz/fpKSklNv7Dz74oPnwww8dr/OI\nvn37muHDhzuebd68eeaKK64o97Ht27ev8ImBE2W98cYb5rrrrjOlpaW+j73//vtP+LhS0WPssmXL\n/N4DJ3vMnjdvnunQoYNv7oqcKOuaa67xex9UlPXDDz/4vQcq87OpsvvgZFn+7oGK8hYsWODXPvDn\nZ/DJ9kFFXwMne6CivJkzZ/q1DyrqBk72wcm6hj/7oCJn9Ev5GzZsUElJidq2beu7Lzk5WWvWrHGU\n98MPP6hDhw6aM2eOTAD/LkHdunX1xhtvKDY21nefMUb5+fmO855//nmdffbZkqRVq1ZpxYoVuvzy\nyx3POGnSJPXo0UPNmjVznHFERkaGLrzwwoBzVq1apdq1a6tdu3a++x544AE9/fTTAeUeOHBAb7zx\nhoYOHaqzzjrLUUb16tVVo0YNffLJJyouLtbmzZv1n//8x9GpAdnZ2YqNjVXDhg1998XHx2vt2rUq\nKSmpVMaJvlfXrFmjxMREVatWzXdfcnKyfvzxR7+zJGnRokV69NFHNXz48IDm6tixo5599tljPv5k\ne+JEee3bt/edglJcXKyPPvpIXq9XrVu3drROr9er0aNHa8yYMZX+HjlRXkFBgXbu3KmmTZtWKqei\nrBUrVuiKK67w7X1JeuWVV3Tbbbf5nVXWsmXLtGrVKg0ZMsTxbDExMdq/f7/mzZsn6ZdTeg4dOqRL\nLrnE76ycnBwlJiYqLCzMd198fLz++9//HjfneI+x0i/fT6tXr/Z7D5zsMXvRokUaMmSIRo0adcKM\nk2UdeXncn31QUVZKSorfe+Bk6/RnH1SU5WQPVPQ1/eGHH/zaB5X9GVyZfVDR18DJHjjROgsKChzt\ng6O7wcqVK9W+fXvH+6CiruHPPqhIZEBHW27Xrl2KiYlRZOSvy4yLi1NRUZH27dunOnXq+JV35513\nBmWu2rVr66qrrvL93hij2bNn68orrww4OzU1Vbm5ubr22mvVpUsXRxlHNuMXX3yhMWPGBDzTli1b\ntGTJEk2bNk2lpaW6/vrrNWjQIL9LYHZ2tho2bKhPP/1U06dP1+HDh9WzZ08NGDCg3Eb113vvvaf6\n9evruuuuc5wRFRWl0aNHa9y4cXr33XdVUlKinj17qmfPnn5nnXvuucrLy1NRUZHvQSM3N1clJSXK\nz89XTEzMSTNO9L26a9cu1atXr9x9cXFx2rlzp99ZkvTMM89IUqXPHTxRVoMGDdSgQQPf7/fs2aN/\n/OMfGjRokKO8I7KystStWzeVlpbq0UcfLfc5/Ml67bXXlJiY6NcePVHe5s2bFRYWpmnTpmnx4sWK\niYnRfffdp5tvvtnvrOzsbDVq1Eh/+ctf9Nlnnyk2NlYDBw5U586d/c4qa8aMGerZs6fq169/0o89\nUV67du101113adCgQQoPD1dpaameffbZCsvIibLi4uK0cePGcvfl5uZq3759x/34Ez3GdujQwdEe\nONlj9vjx4yX9UqxPpqIsf/dBZX6W+LMHTpbnzz6oKMvJHqjoa3rkZ0Nl90FlfwZXZh9UlOVkD1S0\nzri4OK1fv77cx1e0D8o6uhs888wzfu+DivIk//ZBRc7oZ0wLCwsVFRVV7r4jvw/kjUbBNnnyZG3Y\nsKFSz06czNSpU/Xaa69p/fr1jp5J9Hq9euqppzRmzJhj/uyc2L59u37++WdVq1ZNL730koYPH64v\nvvhCU6ZM8Tvr0KFD2rp1qz788ENNnDhRI0aM0KxZswJ6k5Ekffzxx7rnnnsCypB+eWY4NTVVH330\nkSZOnKhvvvlGX375pd85bdq0Ud26dTVu3DgVFhYqMzNTb7/9tiTp8OHDAc14oj1h034oKirSQw89\npHr16umOO+4IKCs2NlaffPKJRo8erZdfftn3zIU/0tPT9eGHHwb8JsAjNm/erPDwcDVr1kwzZszQ\nbbfdpieffFLz58/3O+vQoUP6+9//rry8PE2fPl09evTQ4MGD5fF4HM+XnZ2tf//73+rdu7fjDEk6\nePCgsrOzNWjQIH388cf605/+pPHjx2vLli1+Z3Xt2lVr1qzRRx99pJKSEi1ZskTffvttpffD5MmT\ntX79eg0ZMiQoeyCYj9knynKyD46XFcgeKJsX6D44kvXwww8HZQ+U/ZoeOnRIc+fOdbwPjvfn5nQf\nlM0Kxh44ss5HHnlEXbp0cbwPjnSDDRs26Jlnngl4HwTaNSpyRj9jWq1atWP+kI/8vkaNGm6MdIwp\nU6Zo1qxZevHFF4PysnliYqKkX95hO2zYMI0YMaLcM8YnM3XqVLVs2TIoz95KvzwTtnz5ckVHR0uS\nEhISVFpaqscee0wjR47065nOiIgIHTx4UM8//7zOO+88SdK2bdv0/vvvV/qdw0dbs2aNdu7cqRtu\nuMHR8UcsW7ZMH3/8sRYvXqyoqChdeuml2rFjh6ZNm6bu3bv7lRUVFaWXX35ZDz/8sJKTkxUXF6f7\n779fEydOVK1atQKas1q1ajpw4EC5+7xer6pXrx5QbrAcOnRIAwYMUFZWlt5///1yLzM5UatWLd+7\natPT0zVr1iy/nxl/8sknNWjQoGNeWnPq5ptvVmpqqm9PXHLJJdq6davef//9Cp/pPJ6IiAjVqVNH\nY8eOlSS1aNFCK1eu1Jw5czRu3DhH8/3rX/9SixYtdNFFFzk6/ogZM2ZIkgYMGOCbbfXq1Xr33Xf9\nfiXm4osv1vjx4zV+/Hg99dRTSkhI0F133aXly5ef9Niyj7HNmzcPeA8E8zH7RFlO9sGJspzugaPz\n7rzzTsf74OivQfPmzQPaA0fnBbIPTvTn5mQfHJ314osvSnK+B44324QJExztgyPdYMSIERo6dKhu\nvfVW5eXllfsYf/ZBoF2jImf0M6b169fX/v37VVpa6rtv9+7dql69um9DuGn8+PF65513NGXKFL9/\nIJW1Z8+eY/6m2bx5cx0+fFgFBQV+Zf3jH//QggULlJSUpKSkJH3xxRf64osvdNlllzme7+g/62bN\nmqmoqEj79+/3K6devXqqVq2ar5RK0oUXXqgdO3Y4nm3p0qVKSUlR7dq1HWdIksfjUdOmTcv9DbRF\nixbavn27o7yWLVtq/vz5WrJkiRYtWqSmTZuqTp06Af+Fqn79+tq1a1e5+3bv3q26desGlBsMBQUF\n6tu3rzIyMvTOO++ocePGjrPS09O1cuXKcvc1a9asUi95lbV9+3b997//1cSJE317Ijc3V2PGjFH/\n/v0dz3f0nrjooov0008/+Z1Tt27dY14WDHRPLFmyJKDHoyPWrVunhISEcvcFsiduueUWrVq1SosW\nLdInn3wiSeXOwz6e4z3GBrIHgvWYXVGWk31wvKxA9sDReYHsgxOt0+keOF6e031Q0dfT331wvKxA\n9sCJZvNnH1TUDerWrev3Pghm16jIGV1MW7RoocjIyHIn865cuVItW7Z0capfvPLKK5ozZ45eeOEF\ndevWLaCsnJwcPfTQQ+U2dVpammJjYyt1PmJZs2fP1hdffKHPP/9cn3/+uVJTU5WamqrPPvvM0WxL\nly7V5ZdfrqKiIt9969atU0xMjN/n+LZp00ZFRUXKzMz03ZeRkXHSH04VWbNmTUCl+4h69eopMzNT\nxcXFvvs2b96sRo0a+Z114MAB3XXXXTpw4IDi4uIUHh6uhQsXqn379gHP2aZNG61bt67cKwmrVq0q\n9wZBNxhjNHDgQG3btk2zZ88O+Jmob7/9Vk8++WS5+9auXet37nnnnad58+bps88+8+2JevXqafDg\nwZowYYKj2V5++WXdd9995e5bv369ozcItm3bVps2bSr3RqFA90RaWlrQ9kR6enq5+5zuieXLl+uR\nRx5RWFiYzj33XBljtHjx4grf4Hmix1ineyCYj9knynKyD06U5XQPHC/P6T440WxO98CJ8pzsg5N9\nPf3ZByfKcroHTpTn7z44UTeIi4tTcnKyPB6PX/sgmF2jQo7fz3+aGD16tOnevbtZs2aNmTdvnklO\nTnZ8bcmy4uPjHV8uKj093Vx66aXmpZdeMrt27Sr3y4mSkhJz6623mn79+pn09HSzcOFCc9VVV5lZ\ns2Y5yitrxIgRAV0uqqCgwHTq1Mk8+uijZvPmzWbhwoW+y1448cc//tH06tXLrF+/3ixevNh06NDB\nzJ492/F8v/nNb8xXX33l+Pgj8vPzzdVXX22GDx9utmzZYhYsWGAuv/zyCi/bU5Gbb77ZPP744yYr\nK8t8+OGHpk2bNmbt2rWOssp+r5aUlJju3bubIUOGmE2bNpnp06ebyy677KTXcDxeVlnff/99pa9j\nerysOXPmmBYtWpiFCxeW2w/79+93lLdjxw7Trl0789xzz5mtW7ea2bNnm1atWpn169f7nXW03/zm\nN5W+junx8tasWWMSExPNm2++abKysszf/vY307p1a7N69Wq/s/Lz803Hjh3N6NGjTWZmppk9e7ZJ\nTEx0vM6cnBwTHx9vdu/e7df6jpf3448/msTERPP222+brKws33U009PT/c7asWOHadu2rXn//fdN\nVlaWGTNmjOnUqZM5dOjQcY+t6DHWyR6o7GP28uXLT3qZnIqy/N0HFWU52QP+/Gw62T6oKMvJHqgo\nz999cLJ1+rMPKspysgdO9jX1Zx9U1A1KSkrMjTfe6Nc+qGzXqMw+qMgZX0wLCwvNiBEjTFJSkunY\nsaN59913g5IbyHVMp0+fbhISEsr9io+PD+gL+dNPP5mHHnrItGvXzlxzzTVm+vTpjrPKCrSYGvPL\nRuvbt6+57LLLzDXXXGP++te/Os7Kz883w4cPN5dddpm56qqrzKuvvhrQbG3atDFLly4NKOOII+ts\n166d6dKlS0Dfa1u2bDG9e/c2bdu2Nd27d6/UheZP5Ojv1aysLNO7d2/TunVr0717d7Ns2TLHWUc4\nKaYJCQm+a9L269fvmD2RkJDg1zWHj55t9erV5vbbbzdt27Y1N954o/m///s/x1llpaam+l1Mj85b\nsGCB+d3vfmfatGljbrjhBr/+snx0Vnp6uu/ref311weUtXr1apOQkOD4er5H53377bemR48eJikp\nyfTs2TOg77WFCxeabt26mbZt25p7773XbN68+YTHnuwxNjMz0689UNnH7Mr8QD5e1pFf999/v1/7\n4GRz+bsH/PnZdLJ9cLIsf/fAyfL82QeV+XOr7D44WZa/e+Bkef7sA2Mq7gZOfhZUpmsEWkzDjAng\ngpwAAABAkJzR55gCAADg9EExBQAAgBUopgAAALACxRQAAABWoJgCAADAChRTAAAAWIFiCgAAACtQ\nTAEAAGAFiikAAACsQDEFAACAFSimAAAAsALFFAAAAFagmALAKXDo0CGNHz9eV199tZKSknTPPffI\n4/EoISFBLVq0UEJCgu9XixYttGLFChljNH36dF1//fVq1aqVkpOT9cADDyg7O1uS1Lt3b3Xr1k1b\nt26VJI0YMUJ9+vSRJOXl5en3v/+9OnXq5NaSASBgFFMAOAUGDx6spUuXavLkyfr888/VqFEj9e3b\nV999952WLl2qbt26KSkpSd9//72WLl2qpKQkvfPOO3rzzTc1cuRI/etf/9Krr76qrVu3atKkSZKk\nqVOnqkOHDpoyZYokKSwszPf5pk2bpri4OP397393Zb0AEAyRbg8AAGeaLVu2aMmSJXrrrbfUoUMH\nSdLYsWMVExOjgwcPqkmTJqpevbrOOussxcbG+o5r2rSpJk+e7HvW8/zzz9f111+vb775RpJUp04d\n/fnPf9Z1112n77//3ndcenq6PvjgA7333nuKi4urwpUCQHBRTAEgyP73v/8pLCxMrVu39t0XFRWl\n4cOHV3jctddeqzVr1ujll1/Wli1btGXLFqWnp6t+/fq+jzn33HM1ZswY9evXT+Hh4TLG6KabbtJD\nDz2kFi1anLI1AUBV4KV8AAiyyEhnf+d//fXX1adPH+3fv19XXnmlxo0bp759+5b7mNzcXE2ZMkV9\n+/bVtddeq5YtW2rEiBGaMWOGNmzYEIzxAcA1FFMACLJmzZpJktLS0nz3lZSUKDU1Vf/6179OeNz0\n6dM1cOBAjR49Wrfddptat26tLVu2yBjj+5gJEyaocePGGjZsmKKjo1W9enX94Q9/UKdOnfT444+f\nukUBQBWgmAJAkDVt2lTXXXedxo0bp+XLl2vLli164okn5PV61b59+xMed/755+u7775TRkaGtmzZ\nohdeeEHz5s2T1+uVJP3www9asGCBRo4cecyxQ4cO1aZNmzR37txTti4AONUopgBwCjzzzDNq166d\nHn74Yd16663auXOn3nzzTcXExJzwmClTpqiwsFC33nqr7rnnHqWnp2vcuHHau3evcnNzNXnyZHXr\n1k1t2rQ55thGjRqpd+/eevHFF1VUVHQqlwYAp0yYKfsaEQAAAOASnjEFAACAFSimAAAAsALFFAAA\nAFagmAIAAMAKFFMAAABYgWIKAAAAK1BMAQAAYAWKKQAAAKxAMQUAAIAVKKYAAACwAsUUAAAAVvh/\nb6ttX1ZQXLEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f649de04a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Передаем в качестве параметров x и у одну и ту же переменную, а с помощью параметра \n",
    "# estimator задаем расчет процентного значения для каждого столбика\n",
    "ax = sns.barplot(x=\"стаж\", y=\"стаж\", data=data, estimator=lambda x: len(x) / len(data) * 100)\n",
    "ax.set(ylabel=\"Percent\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Случай 2. Категориальная переменная"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.text.Text at 0x1f649f0c5c0>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wU9q3b68Wzl2h6lVrG11Kmfd7eqqiXpJCQ1sbXQpMjuAKALhpVa9aW7VrNjC6DAAlhDmu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\nvwALbABA64Sa0wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f649e937b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Передаем в качестве параметра у любую количественную переменную\n",
    "ax = sns.barplot(x=\"образование\", y=\"стаж\", data=data, estimator=lambda x: len(x) / len(data) * 100)\n",
    "ax.set(ylabel=\"Percent\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение столбиковой диаграммы (задана процентная шкала и отображение процентных значений)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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f/+guV9c/jlhffvmFVq9erp9++kleXl5q0KCRevd+VX5+/vY+Bw7s09tvz9Oh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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f649f60d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.barplot(x=\"образование\", y=\"стаж\", data=data, estimator=lambda x: len(x) / len(data) * 100)\n",
    "plot.set(ylabel=\"Percent\")\n",
    "for p in plot.patches:\n",
    "    plot.annotate('{:.2f}%'.format(p.get_height()), (p.get_x()+0.15, p.get_height()+1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение столбиковой диаграммы (изменена ориентация диаграммы)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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+WH5+fho8eLA2b96sZ555RqtXr9aIESPUuXNnSdKYMWP06aefKiEhQc8995wk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\nwhRg6eq1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f647f82d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot=sns.countplot(y='образование', data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение кластеризованной столбиковой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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lJiYqPDxcbdq00aBBg/Tll1/ql19+UXZ2tsaMGaMmTZooPj5erVq10uLFiyVJn3zyiVq0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\nERERcXv/B+zuFoyaXAh8AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f64a065358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xticks(rotation=90)\n",
    "plot = sns.countplot(x=\"образование\", hue=\"дефолт\", data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение столбиковой диаграммы, где столбики - средние значения количественной переменной в уровнях категориальной переменной"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KiYlxrb5KUlxcnDIyMhoyHgAAAHyATxTXAwcO6PPPP9cNN9ygfv366R//+IdOnTqlgoIC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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f64a23d470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.xticks(rotation=90)\n",
    "plot=sns.barplot(x='образование', y='доход', data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение панельной столбиковой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Xy+UwMjLCggULAAC2trY4ffo0duzYgZCQEDRq1Khcgq5QKGBoaFjtPoyN9SCT1d8/5ERU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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f64a4c02e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.factorplot(x=\"статус\", hue=\"образование\", col=\"дефолт\",\n",
    "                   data=data, kind=\"count\",\n",
    "                   size=4, aspect=.7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение диаграммы рассеяния"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1efNmPfvss0omk9lpEgcOHNDNN98sSdqwYYMOHjyY/V6xWExHjx7V/fffP602WJYt0+SD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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f64a5c24a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.regplot(x=\"возраст\", y=\"доход\", data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение простой ящичковой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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p4hEAgDTxCABAmngEACBNPAI92sSJE6OmpqbFn5kzZ5bu/+CDD2LWrFnx5S9/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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f64ac53b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.boxplot(x=data[\"доход\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение ящичковых диаграмм с несколькими переменными"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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112vAgAHKycnRxx9/rOLiYs2aNUsdO3ZUamqqEhIStG7dOknSmjVr1L17d6WkpCguLk5z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\nIYQQQohaTzq1QgghhBCi1vs/KHPwLJd3s0gAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f64c0eb0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.boxplot(x=\"образование\", y=\"доход\", data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1akSVb8zQeAQGNqu2LSyshQnVADUzPdQuXLhQa9as0WuvvaY77rjD0z5//nxl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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f64a590ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.boxplot(x=\"образование\", y=\"доход\", hue=\"дефолт\", data=data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение точечных диаграмм"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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V/mpVQKmqGZ98WzxI3RERERFZD4PrEBEX5om7Z0b1qC+dFwd7mem3OS2zAicL1YPVGhER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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f64a4e3160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot=sns.pointplot(x=\"образование\", y=\"доход\", data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iIiIiOyQRJLi1840tuibSuyvCPTs3f2ILNdX9AAD69OmL//3vdWzcuA5Tp07Cli2b8Npr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\npPf+H8eUEse7G6/wAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1f64c0a3588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot = sns.pointplot(x=\"образование\", y=\"доход\", hue=\"дефолт\", data=data, dodge=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Построение графиков с помощью plotly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Импортируем библиотеку plotly, предварительно установив ее в Anaconda Prompt с помощью\n",
    "# команды conda install -c plotly plotly=1.3.2,\n",
    "# чтобы устранить ошибку Notebook Validation failed, обновите nbformat \n",
    "# в Anaconda Prompt с помощью команды conda update nbformat \n",
    "# и перезапустите Jupiter-сервер\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "init_notebook_mode(connected=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение круговой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "labels": [
          "высшее",
          "незаконченное высшее",
          "неполное среднее",
          "среднее",
          "среднее специальное"
         ],
         "type": "pie",
         "values": [
          163,
          22,
          34,
          283,
          198
         ]
        }
       ],
       "layout": {
        "title": "Распределение клиентов по уровню образования"
       }
      },
      "text/html": [
       "<div id=\"8f4372c6-20e1-41be-a18e-2b2b3f800aa4\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"8f4372c6-20e1-41be-a18e-2b2b3f800aa4\", [{\"values\": [163, 22, 34, 283, 198], \"labels\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"type\": \"pie\"}], {\"title\": \"\\u0420\\u0430\\u0441\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u0438\\u0435 \\u043a\\u043b\\u0438\\u0435\\u043d\\u0442\\u043e\\u0432 \\u043f\\u043e \\u0443\\u0440\\u043e\\u0432\\u043d\\u044e \\u043e\\u0431\\u0440\\u0430\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u044f\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<div id=\"8f4372c6-20e1-41be-a18e-2b2b3f800aa4\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"8f4372c6-20e1-41be-a18e-2b2b3f800aa4\", [{\"values\": [163, 22, 34, 283, 198], \"labels\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"type\": \"pie\"}], {\"title\": \"\\u0420\\u0430\\u0441\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u0438\\u0435 \\u043a\\u043b\\u0438\\u0435\\u043d\\u0442\\u043e\\u0432 \\u043f\\u043e \\u0443\\u0440\\u043e\\u0432\\u043d\\u044e \\u043e\\u0431\\u0440\\u0430\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u044f\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "labels = [\"высшее\", \"незаконченное высшее\", \"неполное среднее\", \"среднее\", \"среднее специальное\"]\n",
    "values = agr_ed\n",
    "\n",
    "trace = go.Pie(labels=labels, values=values)\n",
    "\n",
    "layout = go.Layout(title=\"Распределение клиентов по уровню образования\")\n",
    "\n",
    "fig = go.Figure(data=[trace], layout = layout)\n",
    "iplot(fig)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение простой столбиковой диаграммы"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Вертикальная простая столбиковая диаграмма"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "type": "bar",
         "x": [
          "высшее",
          "незаконченное высшее",
          "неполное среднее",
          "среднее",
          "среднее специальное"
         ],
         "y": [
          163,
          22,
          34,
          283,
          198
         ]
        }
       ],
       "layout": {
        "title": "Распределение клиентов по уровню образования"
       }
      },
      "text/html": [
       "<div id=\"16a310fe-51ab-42da-bf76-6a05021b12fe\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"16a310fe-51ab-42da-bf76-6a05021b12fe\", [{\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [163, 22, 34, 283, 198], \"type\": \"bar\"}], {\"title\": \"\\u0420\\u0430\\u0441\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u0438\\u0435 \\u043a\\u043b\\u0438\\u0435\\u043d\\u0442\\u043e\\u0432 \\u043f\\u043e \\u0443\\u0440\\u043e\\u0432\\u043d\\u044e \\u043e\\u0431\\u0440\\u0430\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u044f\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<div id=\"16a310fe-51ab-42da-bf76-6a05021b12fe\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"16a310fe-51ab-42da-bf76-6a05021b12fe\", [{\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [163, 22, 34, 283, 198], \"type\": \"bar\"}], {\"title\": \"\\u0420\\u0430\\u0441\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u0438\\u0435 \\u043a\\u043b\\u0438\\u0435\\u043d\\u0442\\u043e\\u0432 \\u043f\\u043e \\u0443\\u0440\\u043e\\u0432\\u043d\\u044e \\u043e\\u0431\\u0440\\u0430\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u044f\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace = go.Bar(x=[\"высшее\", \"незаконченное высшее\", \"неполное среднее\", \"среднее\", \"среднее специальное\"], y=agr_ed)\n",
    "layout = go.Layout(title=\"Распределение клиентов по уровню образования\")\n",
    "\n",
    "fig = go.Figure(data=[trace], layout = layout)\n",
    "iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Горизонтальная простая столбиковая диаграмма"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "orientation": "h",
         "type": "bar",
         "x": [
          163,
          22,
          34,
          283,
          198
         ],
         "y": [
          "высшее",
          "нез. высшее",
          "неполн. средн.",
          "среднее",
          "средн. спец."
         ]
        }
       ],
       "layout": {
        "title": "Распределение клиентов по уровню образования"
       }
      },
      "text/html": [
       "<div id=\"a6cb4e86-fd7a-4e53-8d61-22dfb350feab\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"a6cb4e86-fd7a-4e53-8d61-22dfb350feab\", [{\"orientation\": \"h\", \"x\": [163, 22, 34, 283, 198], \"y\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437. \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d. \\u0441\\u0440\\u0435\\u0434\\u043d.\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d. \\u0441\\u043f\\u0435\\u0446.\"], \"type\": \"bar\"}], {\"title\": \"\\u0420\\u0430\\u0441\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u0438\\u0435 \\u043a\\u043b\\u0438\\u0435\\u043d\\u0442\\u043e\\u0432 \\u043f\\u043e \\u0443\\u0440\\u043e\\u0432\\u043d\\u044e \\u043e\\u0431\\u0440\\u0430\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u044f\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<div id=\"a6cb4e86-fd7a-4e53-8d61-22dfb350feab\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"a6cb4e86-fd7a-4e53-8d61-22dfb350feab\", [{\"orientation\": \"h\", \"x\": [163, 22, 34, 283, 198], \"y\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437. \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d. \\u0441\\u0440\\u0435\\u0434\\u043d.\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d. \\u0441\\u043f\\u0435\\u0446.\"], \"type\": \"bar\"}], {\"title\": \"\\u0420\\u0430\\u0441\\u043f\\u0440\\u0435\\u0434\\u0435\\u043b\\u0435\\u043d\\u0438\\u0435 \\u043a\\u043b\\u0438\\u0435\\u043d\\u0442\\u043e\\u0432 \\u043f\\u043e \\u0443\\u0440\\u043e\\u0432\\u043d\\u044e \\u043e\\u0431\\u0440\\u0430\\u0437\\u043e\\u0432\\u0430\\u043d\\u0438\\u044f\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace = go.Bar(x=agr_ed, \n",
    "               y=[\"высшее\", \"нез. высшее\", \"неполн. средн.\", \"среднее\", \"средн. спец.\"],\n",
    "               orientation = 'h')\n",
    "layout = go.Layout(title=\"Распределение клиентов по уровню образования\")\n",
    "\n",
    "fig = go.Figure(data=[trace], layout = layout)\n",
    "iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение состыкованной столбиковой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "yes=data.loc[data['дефолт'] == 'да']\n",
    "no=data.loc[data['дефолт'] == 'нет']\n",
    "agr_yes=yes.groupby(['образование']).size()\n",
    "agr_no=no.groupby(['образование']).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "name": "Нет",
         "type": "bar",
         "x": [
          "высшее",
          "незаконченное высшее",
          "неполное среднее",
          "среднее",
          "среднее специальное"
         ],
         "y": [
          116,
          13,
          26,
          223,
          139
         ]
        },
        {
         "name": "Да",
         "type": "bar",
         "x": [
          "высшее",
          "незаконченное высшее",
          "неполное среднее",
          "среднее",
          "среднее специальное"
         ],
         "y": [
          47,
          9,
          8,
          60,
          59
         ]
        }
       ],
       "layout": {
        "barmode": "stack"
       }
      },
      "text/html": [
       "<div id=\"0d45478b-ed66-4897-92b3-ba51958897c4\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"0d45478b-ed66-4897-92b3-ba51958897c4\", [{\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [116, 13, 26, 223, 139], \"type\": \"bar\", \"name\": \"\\u041d\\u0435\\u0442\"}, {\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [47, 9, 8, 60, 59], \"type\": \"bar\", \"name\": \"\\u0414\\u0430\"}], {\"barmode\": \"stack\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<div id=\"0d45478b-ed66-4897-92b3-ba51958897c4\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"0d45478b-ed66-4897-92b3-ba51958897c4\", [{\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [116, 13, 26, 223, 139], \"type\": \"bar\", \"name\": \"\\u041d\\u0435\\u0442\"}, {\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [47, 9, 8, 60, 59], \"type\": \"bar\", \"name\": \"\\u0414\\u0430\"}], {\"barmode\": \"stack\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trace1 = go.Bar(\n",
    "    x=[\"высшее\", \"незаконченное высшее\", \"неполное среднее\", \"среднее\", \"среднее специальное\"],\n",
    "    y=agr_no,\n",
    "    name='Нет'\n",
    ")\n",
    "trace2 = go.Bar(\n",
    "    x=[\"высшее\", \"незаконченное высшее\", \"неполное среднее\", \"среднее\", \"среднее специальное\"],\n",
    "    y=agr_yes,\n",
    "    name='Да'\n",
    ")\n",
    "\n",
    "layout = go.Layout(\n",
    "    barmode='stack'\n",
    ")\n",
    "\n",
    "fig = go.Figure(data = [trace1, trace2], layout = layout)\n",
    "iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Построение кластеризованной столбиковой диаграммы"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "data": [
        {
         "name": "Нет",
         "type": "bar",
         "x": [
          "высшее",
          "незаконченное высшее",
          "неполное среднее",
          "среднее",
          "среднее специальное"
         ],
         "y": [
          116,
          13,
          26,
          223,
          139
         ]
        },
        {
         "name": "Да",
         "type": "bar",
         "x": [
          "высшее",
          "незаконченное высшее",
          "неполное среднее",
          "среднее",
          "среднее специальное"
         ],
         "y": [
          47,
          9,
          8,
          60,
          59
         ]
        }
       ],
       "layout": {
        "barmode": "group"
       }
      },
      "text/html": [
       "<div id=\"3ce7ec0f-09e7-48c9-a6d8-cf5210d3ff89\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"3ce7ec0f-09e7-48c9-a6d8-cf5210d3ff89\", [{\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [116, 13, 26, 223, 139], \"type\": \"bar\", \"name\": \"\\u041d\\u0435\\u0442\"}, {\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [47, 9, 8, 60, 59], \"type\": \"bar\", \"name\": \"\\u0414\\u0430\"}], {\"barmode\": \"group\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<div id=\"3ce7ec0f-09e7-48c9-a6d8-cf5210d3ff89\" style=\"height: 525px; width: 100%;\" class=\"plotly-graph-div\"></div><script type=\"text/javascript\">require([\"plotly\"], function(Plotly) { window.PLOTLYENV=window.PLOTLYENV || {};window.PLOTLYENV.BASE_URL=\"https://plot.ly\";Plotly.newPlot(\"3ce7ec0f-09e7-48c9-a6d8-cf5210d3ff89\", [{\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [116, 13, 26, 223, 139], \"type\": \"bar\", \"name\": \"\\u041d\\u0435\\u0442\"}, {\"x\": [\"\\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u0437\\u0430\\u043a\\u043e\\u043d\\u0447\\u0435\\u043d\\u043d\\u043e\\u0435 \\u0432\\u044b\\u0441\\u0448\\u0435\\u0435\", \"\\u043d\\u0435\\u043f\\u043e\\u043b\\u043d\\u043e\\u0435 \\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435\", \"\\u0441\\u0440\\u0435\\u0434\\u043d\\u0435\\u0435 \\u0441\\u043f\\u0435\\u0446\\u0438\\u0430\\u043b\\u044c\\u043d\\u043e\\u0435\"], \"y\": [47, 9, 8, 60, 59], \"type\": \"bar\", \"name\": \"\\u0414\\u0430\"}], {\"barmode\": \"group\"}, {\"linkText\": \"Export to plot.ly\", \"showLink\": true})});</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "layout = go.Layout(\n",
    "    barmode='group'\n",
    ")\n",
    "\n",
    "fig = go.Figure(data=[trace1, trace2], layout = layout)\n",
    "iplot(fig)"
   ]
  }
 ],
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  "kernelspec": {
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