03_01_rezepte_analysis_cloud.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# [Chefkoch.de](http://www.chefkoch.de/) Maturaarbeit 2017/18\n",
    "------\n",
    "\n",
    "## Ziel: \n",
    "### Analyse der Hauptrezeptesammlung von über 300'000 verschiedenen Rezepten (3.Teil)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: seaborn in /usr/local/lib/python3.5/dist-packages\r\n"
     ]
    }
   ],
   "source": [
    "!pip install seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.5/dist-packages/sklearn/cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "# Modelling Algorithms\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import SVC, LinearSVC\n",
    "from sklearn.ensemble import RandomForestClassifier , GradientBoostingClassifier\n",
    "\n",
    "# Modelling Helpers\n",
    "from sklearn.preprocessing import Imputer , Normalizer , scale\n",
    "from sklearn.cross_validation import train_test_split , StratifiedKFold\n",
    "from sklearn.feature_selection import RFECV\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.style as style\n",
    "style.use('fivethirtyeight')\n",
    "import matplotlib.pylab as pylab\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "from scipy.stats import norm\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from scipy import stats\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "%matplotlib inline\n",
    "\n",
    "sns.set_style( 'white' )\n",
    "pylab.rcParams[ 'figure.figsize' ] = 8 , 6"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Bereinigung\n",
    "\n",
    "1. Die Spalte *average_rating* soll nur noch die letzte Zahl enthalten. \"n Bewertungen - Ø\" kann gelöscht werden da die Anzahl Bewertungen in der Spalte *votes* gespeichert ist.\n",
    "2. Von der Spalte *stars_shown* kann der substring 'star-' gelöscht werden. Danach in Typ Category umwandeln.\n",
    "3. Die Klammern sind nicht von Gebrauch in *votes*.\n",
    "4. *difficulty* kann in eine Category umgewandelt werden.\n",
    "5. *preparation_time*: substring ' min.' kann gelöscht werden.\n",
    "6. *date* kann in datetime umgewandelt werden.\n",
    "7. *has_picture* kann in eine Category umgewandelt werden.\n",
    "8. Bereinige 'recipe-' von *recipe_id*\n",
    "9. Die Spalte *link* ist nicht von Bedeutung für Data Analysis und wird entfernt."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1\n",
    "rezepte['average_rating'] = rezepte['average_rating'].apply(lambda x: x.replace(\" Bewertungen - Ø \", \":\"))\n",
    "rezepte['average_rating'] = rezepte['average_rating'].apply(lambda x: x.replace(\" Bewertung - Ø \", \":\"))\n",
    "rezepte['average_rating'].replace(to_replace='(.*?):', value='',inplace=True,regex=True)\n",
    "rezepte['average_rating'] = rezepte['average_rating'].astype('float64')\n",
    "\n",
    "# 2\n",
    "rezepte['stars_shown'] = rezepte['stars_shown'].apply(lambda x: x.replace(\"star-\", \"\"))\n",
    "rezepte['stars_shown'] = rezepte['stars_shown'].astype('category')\n",
    "\n",
    "# 3\n",
    "rezepte['votes'] = rezepte['votes'].str.extract('(\\d+)')\n",
    "rezepte['votes'] = rezepte['votes'].astype('float64')\n",
    "\n",
    "# 4\n",
    "rezepte['difficulty'] = rezepte['difficulty'].astype('category')\n",
    "\n",
    "# 5\n",
    "rezepte['preparation_time'] = rezepte['preparation_time'].apply(lambda x: x.replace(\" min.\", \"\")).astype('float64')\n",
    "\n",
    "# 6\n",
    "rezepte['date'] = pd.to_datetime(rezepte['date'])\n",
    "\n",
    "# 7\n",
    "rezepte['has_picture'] = rezepte['has_picture'].astype('category')\n",
    "\n",
    "# 8\n",
    "rezepte['recipe_id'] = rezepte['recipe_id'].apply(lambda x: x.replace(\"recipe-\", \"\"))\n",
    "\n",
    "# 9\n",
    "rezepte.drop(rezepte.columns[[-2]], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "rezepte = pd.read_csv('/input/chefkoch_rezepte_analysis.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>recipe_id</th>\n",
       "      <th>recipe_name</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>stars_shown</th>\n",
       "      <th>votes</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>preparation_time</th>\n",
       "      <th>date</th>\n",
       "      <th>has_picture</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3449791514066439</td>\n",
       "      <td>Bratapfel-Rotkohl</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>3449721514056932</td>\n",
       "      <td>„Frühstückswolke 7“ aus Fiefhusen</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>pfiffig</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>3449701514054063</td>\n",
       "      <td>Deichgrafensalat von der Westküste</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>3449651514047893</td>\n",
       "      <td>Geschichteter Kohl</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>3449681514052511</td>\n",
       "      <td>Rinderlendenragout</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0         recipe_id                         recipe_name  \\\n",
       "0           0  3449791514066439                   Bratapfel-Rotkohl   \n",
       "1           1  3449721514056932   „Frühstückswolke 7“ aus Fiefhusen   \n",
       "2           2  3449701514054063  Deichgrafensalat von der Westküste   \n",
       "3           3  3449651514047893                  Geschichteter Kohl   \n",
       "4           4  3449681514052511                  Rinderlendenragout   \n",
       "\n",
       "   average_rating stars_shown  votes difficulty  preparation_time        date  \\\n",
       "0             2.5         unb    0.0     normal              45.0  2017-12-24   \n",
       "1             2.5         unb    0.0    pfiffig              15.0  2017-12-24   \n",
       "2             2.5         unb    0.0     normal              30.0  2017-12-24   \n",
       "3             2.5         unb    0.0     normal              40.0  2017-12-24   \n",
       "4             2.5         unb    0.0     normal              15.0  2017-12-24   \n",
       "\n",
       "  has_picture  \n",
       "0          no  \n",
       "1          no  \n",
       "2          no  \n",
       "3          no  \n",
       "4          no  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rezepte.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 316755 entries, 0 to 316754\n",
      "Data columns (total 9 columns):\n",
      "recipe_id           316755 non-null int64\n",
      "recipe_name         316755 non-null object\n",
      "average_rating      316755 non-null float64\n",
      "stars_shown         316755 non-null object\n",
      "votes               316755 non-null float64\n",
      "difficulty          316755 non-null object\n",
      "preparation_time    316755 non-null float64\n",
      "date                316755 non-null object\n",
      "has_picture         316527 non-null object\n",
      "dtypes: float64(3), int64(1), object(5)\n",
      "memory usage: 24.2+ MB\n"
     ]
    }
   ],
   "source": [
    "rezepte.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>average_rating</th>\n",
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       "      <th>votes</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>preparation_time</th>\n",
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       "      <th>has_picture</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3449791514066439</td>\n",
       "      <td>Bratapfel-Rotkohl</td>\n",
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       "      <td>unb</td>\n",
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       "      <td>normal</td>\n",
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       "    </tr>\n",
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       "      <th>1</th>\n",
       "      <td>3449721514056932</td>\n",
       "      <td>„Frühstückswolke 7“ aus Fiefhusen</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>pfiffig</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3449701514054063</td>\n",
       "      <td>Deichgrafensalat von der Westküste</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3449651514047893</td>\n",
       "      <td>Geschichteter Kohl</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3449681514052511</td>\n",
       "      <td>Rinderlendenragout</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "          recipe_id                         recipe_name  average_rating  \\\n",
       "0  3449791514066439                   Bratapfel-Rotkohl             2.5   \n",
       "1  3449721514056932   „Frühstückswolke 7“ aus Fiefhusen             2.5   \n",
       "2  3449701514054063  Deichgrafensalat von der Westküste             2.5   \n",
       "3  3449651514047893                  Geschichteter Kohl             2.5   \n",
       "4  3449681514052511                  Rinderlendenragout             2.5   \n",
       "\n",
       "  stars_shown  votes difficulty  preparation_time        date has_picture  \n",
       "0         unb    0.0     normal              45.0  2017-12-24          no  \n",
       "1         unb    0.0    pfiffig              15.0  2017-12-24          no  \n",
       "2         unb    0.0     normal              30.0  2017-12-24          no  \n",
       "3         unb    0.0     normal              40.0  2017-12-24          no  \n",
       "4         unb    0.0     normal              15.0  2017-12-24          no  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rezepte.drop(rezepte.columns[[0]], axis=1, inplace=True)\n",
    "rezepte.drop_duplicates(subset=['recipe_id'], keep='first', inplace=True)\n",
    "rezepte.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "347111119278630     1\n",
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       "1922151313497059    1\n",
       "2460121387272014    1\n",
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       "449491137318517     1\n",
       "1386851243779752    1\n",
       "1392671244280062    1\n",
       "60671022158473      1\n",
       "Name: recipe_id, dtype: int64"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rezepte.recipe_id.value_counts()[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "rezepte['date'] = pd.to_datetime(rezepte['date'])\n",
    "rezepte['year'] = rezepte['date'].map(lambda x: x.year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\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>recipe_id</th>\n",
       "      <th>recipe_name</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>stars_shown</th>\n",
       "      <th>votes</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>preparation_time</th>\n",
       "      <th>date</th>\n",
       "      <th>has_picture</th>\n",
       "      <th>year</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3449791514066439</td>\n",
       "      <td>Bratapfel-Rotkohl</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3449721514056932</td>\n",
       "      <td>„Frühstückswolke 7“ aus Fiefhusen</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>pfiffig</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          recipe_id                        recipe_name  average_rating  \\\n",
       "0  3449791514066439                  Bratapfel-Rotkohl             2.5   \n",
       "1  3449721514056932  „Frühstückswolke 7“ aus Fiefhusen             2.5   \n",
       "\n",
       "  stars_shown  votes difficulty  preparation_time       date has_picture  year  \n",
       "0         unb    0.0     normal              45.0 2017-12-24          no  2017  \n",
       "1         unb    0.0    pfiffig              15.0 2017-12-24          no  2017  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rezepte.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pylab import rcParams\n",
    "rcParams['figure.figsize'] = 16, 8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: ggplot in /usr/local/lib/python3.5/dist-packages\n",
      "Requirement already satisfied: patsy>=0.4 in /usr/local/lib/python3.5/dist-packages (from ggplot)\n",
      "Requirement already satisfied: scipy in /usr/local/lib/python3.5/dist-packages (from ggplot)\n",
      "Requirement already satisfied: cycler in /usr/local/lib/python3.5/dist-packages (from ggplot)\n",
      "Requirement already satisfied: statsmodels in /usr/local/lib/python3.5/dist-packages (from ggplot)\n",
      "Requirement already satisfied: numpy in /usr/local/lib/python3.5/dist-packages (from ggplot)\n",
      "Requirement already satisfied: brewer2mpl in /usr/local/lib/python3.5/dist-packages (from ggplot)\n",
      "Requirement already satisfied: pandas in /usr/local/lib/python3.5/dist-packages (from ggplot)\n",
      "Requirement already satisfied: six in /usr/local/lib/python3.5/dist-packages (from ggplot)\n",
      "Requirement already satisfied: matplotlib in /usr/local/lib/python3.5/dist-packages (from ggplot)\n",
      "Requirement already satisfied: pytz>=2011k in /usr/local/lib/python3.5/dist-packages (from pandas->ggplot)\n",
      "Requirement already satisfied: python-dateutil>=2 in /usr/local/lib/python3.5/dist-packages (from pandas->ggplot)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.5/dist-packages (from matplotlib->ggplot)\n"
     ]
    }
   ],
   "source": [
    "#!pip install statsmodels\n",
    "!pip install ggplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import re\n",
    "import statsmodels as sm\n",
    "\n",
    "\n",
    "from ggplot import *\n",
    "theme_bw()\n",
    "\n",
    "import matplotlib.pyplot as mpl\n",
    "mpl.style.use('ggplot')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 17.5)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe1c34c7e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rezepte.groupby('year').count().plot(kind='bar', color='darkgreen', title=\"Anzahl Rezepte hinzugefügt pro Jahr\", legend=None).set_xlim(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "rezepte['YearMonth'] = rezepte['date'].map(lambda x: 1000*x.year + x.month)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2017012\n",
       "1    2017012\n",
       "2    2017012\n",
       "3    2017012\n",
       "4    2017012\n",
       "Name: YearMonth, dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rezepte['YearMonth'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe1c2fe1d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe1c32a1550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe1c2a65080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "rezepte.groupby('YearMonth').count().plot(kind='bar', color='darkgreen', title=\"Anzahl Rezepte hinzugefügt pro Jahr\", legend=None).set_xlim(0)\n",
    "rezepte.groupby('year').count().plot(color='darkgreen', title=\"Anzahl Rezepte hinzugefügt pro Jahr\", legend=None)\n",
    "#ax1 = plt.axes()\n",
    "#x_axis = ax1.axes.get_xaxis()\n",
    "#x_axis.set_visible(False)\n",
    "#for label in x_axis.get_ticklabels()[::2]:\n",
    "#    label.set_visible(False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<bound method Artist.set of <matplotlib.axes._subplots.AxesSubplot object at 0x7fb153a4a5c0>>"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb153b4a550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rezepte.sort_values(by='year', ascending=True).groupby('year').count().cumsum(0).plot(kind='bar', color='darkgreen', title='Gesamte Anzahl an Rezepten', legend=None).set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "rezepte['new_rating'] = [rezepte['average_rating'][i] if x > 0 else 0 for i, x in enumerate(rezepte['votes'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 5.1135000000000002)"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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bpl0CAAAAjdAjAwAAAGiGIAMAAABohiADAAAAaIYgAwAAAGiGIAMAAABohiADAAAAaIYgAwAAAGiGIAMAAABohiADAAAAaIYgAwAAAGiGIAMAAABohiADAAAAaIYgAwAAAGiGIAMAAABohiADAAAAaIYgAwAAAGiGIAMAAABohiADAAAAaIYgAwAAAGiGIAMAAABohiADAAAAaMamaRcAAMD62Hr21tv83JmZmezcuXMVq9m3bDt227RLANhr6JEBAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANGPTtAsopbwgye8kmU3y+SRPT3LPJO9Kcvckn0nytFrrDaWUOyY5K8n9k3wzyRNrrZeP+3lpkmckuSnJ82qt543tRyc5OcnGJKfVWk9av7MDAAAAVtNUe2SUUg5I8rwkD6i13jdD2PCkJK9P8pZa672SXJchoMj4/bqx/S3jdimlHDo+7z5Jjk7y1lLKxlLKxiSnJHlUkkOTPHncFgAAAGjQnjC0ZFOS/Uopm5L8RJKrkxyZ5K/H9duSPH58fMy4nHH9UaWUDWP7u2qtP6i1fiXJpUkOG78urbVeVmu9IUMvj2PW4ZwAAACANTDVoSW11qtKKW9K8tUk30/yvzMMJflWrfXGcbPtSQ4YHx+Q5MrxuTeWUq7PMPzkgCQXTux68jlXLmh/4GK1zMzM7Pb5cNts3rx52iWwgNcE5rke2Jvs7vsd75duO/+X7H28pjBvva+HqQYZpZS7ZeghcXCSbyX5fzMMDVl3O3funMZhSbJjx45pl8CEzZs3e01g5Hpgb7M773dmZma8X9oN/i/Zu/j9APPW8npYKiCZ9tCShyX5Sq31G7XWHyZ5b5IHJbnrONQkSbYkuWp8fFWSA5NkXP9TGSb9vLl9wXOWagcAAAAaNO27lnw1yeGllJ/IMLTkqCQXJ7kgyW9nmNNia5L3j9ufMy5/clz/0VrrbCnlnCT/q5Ty5iSbkxyS5NNJNiQ5pJRycIYA40lJnrJO5wYAAACssqn2yKi1firDpJ2fzXDr1dsl+YskL0nywlLKpRnmwDh9fMrpSe4+tr8wyYnjfr6QpCb5YpIPJ3l2rfWmcZ6N5yQ5L8klw6b1C+t0egAAAMAq2zA7OzvtGvYEsw9/48OnXcM+a9ux23a9EevGmE+Y53pgb7P17K23+bnmyNg93u/sXfx+gHnrMEfGhoXt054jAwAAAGDZBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDM2TbsAAADY2209e+u0S9inbTt227RLAFaRHhkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAM6Y+2Wcp5a5JTkty3ySzSf5rkj7Ju5MclOTyJKXWel0pZUOSk5M8Osn3khxfa/3suJ+tSV427vZPaq3bxvb7JzkzyX5Jzk1yQq11dj3ODQAAAFhde0KPjJOTfLjWeu8k90tySZITk3yk1npIko+My0nyqCSHjF+/m+TUJCml/HSSVyR5YJLDkryilHK38TmnJnnmxPOOXodzAgAAANbAVIOMUspPJfmtJKcnSa31hlrrt5Ick2TuHknbkjx+fHxMkrNqrbO11guT3LWUcs8kj0xyfq312lrrdUnOT3L0uO4utdYLx14YZ03sCwAAAGjMtIeWHJzkG0neXkq5X5LPJDkhyf611qvHbb6WZP/x8QFJrpx4/vax7dbaty/SfgszMzO7dSLcdps3b552CSzgNYF5rgf2Jrv7fsf7JVq1Fv+X+/0A89b7eph2kLEpya8meW6t9VOllJMzP4wkSVJrnS2lrPmcFjt37lzrQ7CEHTt2TLsEJmzevNlrAiPXA3ub3Xm/MzMz4/0SzVrt/8v9foB5a3k9LBWQTHuOjO1JttdaPzUu/3WGYOPr47CQjN+vGddfleTAiedvGdturX3LIu0AAABAg6YaZNRav5bkylJKNzYdleSLSc5JsnVs25rk/ePjc5IcV0rZUEo5PMn14xCU85I8opRyt3GSz0ckOW9c9+1SyuHjHU+Om9gXAAAA0JhpDy1JkucmObuUcocklyV5eoaApZZSnpHkiiRl3PbcDLdevTTD7VefniS11mtLKa9OctG43atqrdeOj5+V+duvfmj8AgAAABo09SCj1vq5JA9YZNVRi2w7m+TZS+znjCRnLNJ+cZL77maZAAAAwB5g2nNkAAAAACybIAMAAABohiADAAAAaIYgAwAAAGiGIAMAAABohiADAAAAaIYgAwAAAGiGIAMAAABoxrKDjFLKCaWUe6xlMQAAAAC3ZtMKtj0yyWtKKR9L8o4k76u1/mBNqgIAAABYxLJ7ZNRaj0nyc0k+lOT5Sb5WSjmtlPJba1UcAAAAwKSV9MhIrfWbSU5Jckop5Zcy9Mx4einlyiR/meTkWut3V79MAAAAgBUGGUlSSjkqyVOTHJPk4iRvSPLVJCdk6K3xm6tZIAAAAMCcZQcZpZQ3JXlSkuuTnJXkZbXWqybWX5jkulWvEAAAAGC0kh4ZM0n+c631osVW1lp/WEp5wOqUBQAAAHBLKwkyXpfke5MNpZS7Jdmv1rojSWqtX1rF2gAAAAB+zLLvWpLkfUm2LGjbkuRvVq8cAAAAgKWtJMjoaq2fn2wYl++9uiUBAAAALG4lQcY1pZR7TTaMy99c3ZIAAAAAFreSOTLOSPKeUsofJrksyS8keXWS09aiMAAAAICFVhJknJTkh0nelOTAJFdmCDHevAZ1AQAAANzCsoOMWuuPkrxx/AIAAABYdyvpkZFSSpfkfknuNNleaz1jNYsCAAAAWMyyg4xSyh8k+aMk/5jkexOrZjPMnwEAAACwplbSI+P5SQ6rtf7TWhUDAAAAcGtWcvvV7yf50loVAgAAALArK+mR8fIk/6OU8sokX59cMU4ECgAAALCmVhJknDl+/52Jtg0Z5sjYuFoFAQAAACxlJUHGwWtWBQAAAMAyLDvIqLVekSSllNsl2b/WevWaVQUAAACwiJXcfvWuSd6a5LeT/DDJT5ZSHpfhTiYvW6P6AAAAAG62kruW/M8k1yf5uSQ3jG2fTPLE1S4KAAAAYDErCTKOSvK8cUjJbJLUWr+R5N+tRWEAAAAAC60kyLg+yT0mG0op/z6JuTIAAACAdbGSIOO0JO8ppTw0ye1KKb+eZFuGIScAAAAAa24lt199fZLvJzklye2TnJHkbUlOXoO6AAAAAG5hJbdfnc0QWgguAAAAgKlYye1Xj1xqXa31o6tTDgAAAMDSVjK05PQFyz+T5A5Jtif5+VWrCAAAAGAJKxlacvDkcillY5KXJfnOahcFAAAAsJiV3LXkx9Rab0rymiQvXr1yAAAAAJZ2m4OM0cOT/Gg1CgEAAADYlZVM9nllktmJpp9IMpPkWatdFAAAAMBiVjLZ51MXLP9bki/XWr+9ivUAAAAALGklk31+fC0LAQAAANiVlQwteUd+fGjJomqtx+1WRQAAAABLWMlkn99K8vgkG5NsH597zNj+LxNfAAAAAGtiJXNk/Ickj6m1/v1cQynlwUleXmt95KpXBgAAALDASnpkHJ7kwgVtn0ry66tXDgAAAMDSVhJk/J8kry2l7Jck4/fXJPncWhQGAAAAsNBKgozjkzwoyfWllK8nuT7Jg5NsXYO6AAAAAG5hJbdfvTzJb5RSDkyyOcnVtdavrlVhAAAAAAutpEdGSil3T3JEkofUWr9aStlcStmyJpUBAAAALLDsIKOU8pAkfZJjk7x8bD4kyalrUBcAAADALaykR8afJXlirfXoJDeObZ9KctiqVwUAAACwiJUEGQfVWj8yPp4dv9+QFcyzAQAAALA7VhJkfLGU8sgFbQ9L8vlVrAcAAABgSSvpTfGiJB8opXwwyX6llLcl+U9JjlmTygAAAAAWWHaPjFrrhUl+KckXkpyR5CtJDqu1XrRGtQEAAAD8mGX1yCilbEzykSSPrLW+YW1LAgAAAFjcsnpk1FpvSnLwcrcHAAAAWAsrmSPjj5OcWkp5RZLtmb9zSWqtP1rtwgAAAAAWWkmQcdr4/bjMhxgbxscbV7MoAAAAgMXscqhIKeVnx4cHT3z9/Pg19xgAAABgzS2nR8aXk9yl1npFkpRS3ltrfcLalgUAAABwS8uZvHPDguUj1qAOAAAAgF1aTpAxu+tNAAAAANbecoaWbCqlPDTzPTMWLqfW+tG1KA4AAABg0nKCjGuSnDGx/M0Fy7Mx4ScAAACwDnYZZNRaD1qHOgAAAAB2aTlzZAAAAADsEQQZAAAAQDMEGQAAAEAzBBkAAABAMwQZAAAAQDMEGQAAAEAzBBkAAABAMzZNu4AkKaVsTHJxkqtqrY8tpRyc5F1J7p7kM0meVmu9oZRyxyRnJbl/km8meWKt9fJxHy9N8owkNyV5Xq31vLH96CQnJ9mY5LRa60nrenIAAADAqtlTemSckOSSieXXJ3lLrfVeSa7LEFBk/H7d2P6WcbuUUg5N8qQk90lydJK3llI2jgHJKUkeleTQJE8etwUAAAAaNPUgo5SyJcljkpw2Lm9IcmSSvx432Zbk8ePjY8bljOuPGrc/Jsm7aq0/qLV+JcmlSQ4bvy6ttV5Wa70hQy+PY9b+rAAAAIC1MPUgI8mfJXlxkh+Ny3dP8q1a643j8vYkB4yPD0hyZZKM668ft7+5fcFzlmoHAAAAGjTVOTJKKY9Nck2t9TOllCOmWcvMzMw0D79P27x587RLYAGvCcxzPbA32d33O94v0arfe8/vTbuEfdbfPvdvp10C62C93y9Ne7LPByV5XCnl0Ulmktwlw8Scdy2lbBp7XWxJctW4/VVJDkyyvZSyKclPZZj0c659zuRzlmr/MTt37lyVE2LlduzYMe0SmLB582avCYxcD+xtduf9zszMjPdLMHI9LJ/fo3u/tXy/tFRAMtWhJbXWl9Zat9RaD8owWedHa63HJrkgyW+Pm21N8v7x8Tnjcsb1H621zo7tTyql3HG848khST6d5KIkh5RSDi6l3GE8xjnrcGoAAADAGtgT5shYzEuSvLCUcmmGOTBOH9tPT3L3sf2FSU5MklrrF5LUJF9M8uEkz6613jT26HhOkvMy3BWljtsCAAAADdowOzs77Rr2BLMPf+PDp13DPmvbsdt2vRHrRld6mOd6YG9nsAhHAAAK00lEQVSz9eytu95oCbrSwzzXw/J5r7/3W4ehJRsWtu+pPTIAAAAAbkGQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Q5ABAAAANEOQAQAAADRDkAEAAAA0Y9M0D15KOTDJWUn2TzKb5C9qrSeXUn46ybuTHJTk8iSl1npdKWVDkpOTPDrJ95IcX2v97LivrUleNu76T2qt28b2+yc5M8l+Sc5NckKtdXZdThAAAABYVdPukXFjkhfVWg9NcniSZ5dSDk1yYpKP1FoPSfKRcTlJHpXkkPHrd5OcmiRj8PGKJA9McliSV5RS7jY+59Qkz5x43tHrcF4AAADAGphqkFFrvXquR0Wt9TtJLklyQJJjkmwbN9uW5PHj42OSnFVrna21XpjkrqWUeyZ5ZJLza63X1lqvS3J+kqPHdXeptV449sI4a2JfAAAAQGOmOrRkUinloCS/kuRTSfavtV49rvpahqEnyRByXDnxtO1j2621b1+k/RZmZmZ27wS4zTZv3jztEljAawLzXA/sTXb3/Y73SzDP9bA8fo/uG9b7dd4jgoxSyp2SvCfJ82ut3y6l3Lyu1jpbSlnzOS127ty51odgCTt27Jh2CUzYvHmz1wRGrgf2NrvzfmdmZsb7JRi5HpbP79G931q+X1oqIJn2HBkppdw+Q4hxdq31vWPz18dhIRm/XzO2X5XkwImnbxnbbq19yyLtAAAAQIOmGmSMdyE5PckltdY3T6w6J8nW8fHWJO+faD+ulLKhlHJ4kuvHISjnJXlEKeVu4ySfj0hy3rju26WUw8djHTexLwAAAKAx0x5a8qAkT0vy+VLK58a2P0hyUpJaSnlGkiuSzI01OTfDrVcvzXD71acnSa312lLKq5NcNG73qlrrtePjZ2X+9qsfGr8AAACABk01yKi1/kOSDUusPmqR7WeTPHuJfZ2R5IxF2i9Oct/dKBMAAADYQ0x9jgwAAACA5RJkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzdg07QIAgH3L1rO3TrsEAKBhemQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADN2DTtAgAAANg7bT1767RL2KdtO3bbtEtYE3pkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzRBkAAAAAM0QZAAAAADNEGQAAAAAzdg07QIAYL1tPXvrsrabmZnJzp0717gaAABWQo8MAAAAoBmCDAAAAKAZggwAAACgGYIMAAAAoBmCDAAAAKAZggwAAACgGYIMAAAAoBmCDAAAAKAZggwAAACgGYIMAAAAoBmCDAAAAKAZggwAAACgGYIMAAAAoBmCDAAAAKAZggwAAACgGYIMAAAAoBmbpl3AeiilHJ3k5CQbk5xWaz1pyiUBZOvZW6ddAgAANGev75FRStmY5JQkj0pyaJInl1IOnW5VAAAAwG2x1wcZSQ5Lcmmt9bJa6w1J3pXkmCnXBAAAANwG+8LQkgOSXDmxvD3JAxdudP7vn79uBcGebvPmzdMuYZ/g/x0AAPYG6/35YV8IMpZjw7QLAAAAAHZtXxhaclWSAyeWt4xtAAAAQGP2hR4ZFyU5pJRycIYA40lJnjLdkgAAAIDbYq/vkVFrvTHJc5Kcl+SSoal+YbpVAQAAALfFhtnZ2WnXMFWllKOTnJxkY5LTaq0nTbkkmIpSyhlJHpvkmlrrfaddD0xTKeXAJGcl2T/JbJK/qLWePN2qYDpKKTNJPpHkjhl68/51rfUV060KpquUsjHJxUmuqrU+dtr1wLSUUi5P8p0kNyW5sdb6gPU47l7fI+PWjP8BnZLkUUkOTfLkUsqh060KpubMJEdPuwjYQ9yY5EW11kOTHJ7k2X4/sA/7QZIja633S/LLSY4upRw+5Zpg2k7I0NsbSB5aa/3l9Qoxkn08yEhyWJJLa62X1VpvSPKuJMdMuSaYilrrJ5JcO+06YE9Qa7261vrZ8fF3MrxZPWC6VcF01Fpna63fHRdvP37t21162aeVUrYkeUyS06ZdC+yr9oXJPm/NAUmunFjenuSBU6oFgD1QKeWgJL+S5FNTLgWmZuzF+pkk90pySq3V9cC+7M+SvDjJnaddCOwBZpP871LKbJK31Vr/Yj0Ouq/3yACAJZVS7pTkPUmeX2v99rTrgWmptd5Ua/3lDLexP6yUYi4l9kmllLn5xD4z7VpgD/HgWuuvZpiu4dmllN9aj4Pu60HGVUkOnFjeMrYBsI8rpdw+Q4hxdq31vdOuB/YEtdZvJbkg5lRi3/WgJI8bJzh8V5IjSyl/Nd2SYHpqrVeN369J8jcZpm9Yc/v60JKLkhxSSjk4Q4DxpCRPmW5JAExbKWVDktOTXFJrffO064FpKqX8TJIf1lq/VUrZL8nDk7x+ymXBVNRaX5rkpUlSSjkiyX+rtT51qkXBlJRSfjLJ7Wqt3xkfPyLJq9bj2Pt0j4xa641JnpPkvAwTudVa6xemWxVMRynlnUk+maQrpWwvpTxj2jXBFD0oydMy/KXtc+PXo6ddFEzJPZNcUEr5pwx/BDq/1vqBKdcEwPTtn+QfSin/mOTTST5Ya/3wehx4w+ysSacBAACANuzTPTIAAACAtggyAAAAgGYIMgAAAIBmCDIAAACAZggyAAAAgGYIMgAAAIBmCDIAAACAZvz/CZm2KMto2BcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb155106c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rezepte.plot(kind='hist', y='new_rating',\n",
    "        color='darkgreen', alpha=0.7, legend=None,\n",
    "        title='Distribution der Bewertungen').set_xlim(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 3449.2499999999995)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABB8AAAHOCAYAAADQYqGFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4xLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvAOZPmwAAHw5JREFUeJzt3X+wpXddH/B32LVciuOPiqXeJDVRUuw2o9g6QarViCJLBaPU+Zhk1auTVpwa1Bk7tSgW/IHGH9VGjEgNO7k4K/EzgJTgttGiiH+AjVYrDXGcSNFsFonll/hjhcD2j3NWLsvezTl77vece+++XjN3zn2+5znP+dyzn31u9p3v830uOX36dAAAAABGedSqCwAAAAD2N+EDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhjq46gIW5FYdAAAAsLtccvbAXg8fcvLkyVWXwB62vr6uh1iIHmJReoidoI9YlB5iUXqIM9bX18857rILAAAAYCjhAwAAADCU8AEAAAAYSvgAAAAADCV8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMNTBVRewqI1jG+d9fvPI5pIqAQAAAM7FzAcAAABgKOEDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChhA8AAADAUMIHAAAAYCjhAwAAADCU8AEAAAAYSvgAAAAADCV8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChDq66gHOpqmuT/ECSe5Pc2d1vWGlBAAAAwAVbWvhQVUeTPDPJQ9199Zbxw0luTXIgye3dfUuS00n+IslakhPLqhEAAADYecu87OKOJIe3DlTVgSS3JXlGkkNJbqiqQ0l+s7ufkeS7knzfEmsEAAAAdtjSZj509xur6oqzhq9Jcn93vy1JqurOJNd191unz78nyaPPd9y1tbXzvu/6+voF1cvFQ4+wKD3EovQQO0EfsSg9xKL0EOez6jUfLk3ywJbtE0meXFXPTvL0JJ+U5KfPd4BTp06d9w1Onjy5YInsZ+vr63qEheghFqWH2An6iEXpIRalhzhjuxBq1eHDOXX3q5O8etV1AAAAAItb9a02H0xy+Zbty6ZjAAAAwD6x6pkP9yS5qqquzCR0uD7JjastCQAAANhJS5v5UFWvSPKmJE+sqhNVdVN3P5zk5iR3J7kvSXf3vcuqCQAAABhvmXe7uGGb8eNJji+rDgAAAGC5Vr3mAwAAALDPCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChhA8AAADAUMIHAAAAYCjhAwAAADCU8AEAAAAYSvgAAAAADCV8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChhA8AAADAUMIHAAAAYCjhAwAAADCU8AEAAAAYSvgAAAAADCV8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABjq4KoL2E5VPTbJbyR5YXe/btX1AAAAABdmaeFDVR1N8swkD3X31VvGDye5NcmBJLd39y3Tp74rSS+rPgAAAGCMZc58uCPJTyd5+ZmBqjqQ5LYkT0tyIsk9VfXaJJcmeWuStSXWBwAAAAywtPChu99YVVecNXxNkvu7+21JUlV3JrkuyccneWySQ0n+uqqOd/eHz3XctbXz5xPr6+sLVs5+p0dYlB5iUXqInaCPWJQeYlF6iPNZ9ZoPlyZ5YMv2iSRP7u6bk6SqvjHJ/9sueEiSU6dOnfcNTp48uXiV7Fvr6+t6hIXoIRalh9gJ+ohF6SEWpYc4Y7sQatXhw3l19x2rrgEAAABYzKpvtflgksu3bF82HQMAAAD2iVXPfLgnyVVVdWUmocP1SW5cbUkAAADATlrazIeqekWSNyV5YlWdqKqbuvvhJDcnuTvJfUm6u+9dVk0AAADAeMu828UN24wfT3J8WXUAAAAAy7XqNR8AAACAfU74AAAAAAwlfAAAAACGEj4AAAAAQ636VpvDbRzbmGm/zSObgysBAACAi5OZDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChhA8AAADAUMIHAAAAYCjhAwAAADCU8AEAAAAYSvgAAAAADCV8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhjq46gJ2i41jG4+4z+aRzSVUAgAAAPuLmQ8AAADAUMIHAAAAYCjhAwAAADCU8AEAAAAYSvgAAAAADCV8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABhq5vChqr69qh43shgAAABg/zk4x75PTfKiqnpDkp9P8pru/pshVe1SG8c2Ztpv88jm4EoAAABg75h55kN3X5fk05P8tyTfkeRPq+r2qvqiUcUBAAAAe988Mx/S3e9KcluS26rqszOZAfFNVfVAkp9Lcmt3/8XOlwkAAADsVXOFD0lSVV+a5OuSXJfkt5P8aJI/SfLtmcyK+Bc7WSAAAACwt80cPlTVjye5Psn7krw8yfO7+8Etz785yXt2vEIAAABgT5tn5sNakq/u7nvO9WR3f7CqPm8niqqqf5zJTIrHJXl9d79kJ44LAAAALN884cMPJ/mrrQNV9clJHtPdJ5Oku/9guxdX1dEkz0zyUHdfvWX8cJJbkxxIcnt339Ld9yX5lqp6VCazLIQPAAAAsEfNfLeLJK9JctlZY5cl+aUZX39HksNbB6rqQCYLWD4jyaEkN1TVoelzX5nkl5Mcn6NGAAAAYJeZZ+bDE7v7LVsHuvstVfVZs7y4u99YVVecNXxNkvu7+21JUlV3ZrKQ5Vu7+7VJXltVv5zkF7Y77tra2hw/wnKsr6+vugTm4M+LRekhFqWH2An6iEXpIRalhzifecKHh6rqCd19/5mBqnpCknct8P6XJnlgy/aJJE+uqmuTPDvJo/MIMx9OnTq1wNuPcfLkyVWXwIzW19f9ebEQPcSi9BA7QR+xKD3EovQQZ2wXQs0TPhxN8qqq+p4kb0vymUl+IMntC1d3lu5+Q5I37PRxAQAAgOWbJ3y4JckHk/x4ksszmbFwe5KfWOD9H5we64zLpmMAAADAPjFz+NDdH07yY9OvnXJPkquq6spMQofrk9y4g8cHAAAAVmyemQ+pqicm+ZwkH791vLuPzvDaVyS5NsnjqupEkhd098uq6uYkd2dyq82j3X3vPDUBAAAAu9vM4UNVfXeS/5jkfyf5qy1Pnc5kPYjz6u4bthk/HrfTBAAAgH1rnpkP35Hkmu7+/VHFAAAAAPvPPOHDXyf5g1GF7CcbxzYecZ/NI5tLqAQAAABWb57w4XuTvLiqXpjknVufmC5GCQAAAPAx5gkf7pg+/ustY5dksubDgZ0qCAAAANhf5gkfrhxWBQAAALBvzRw+dPcfJ0lVPSrJ47v7HcOqAgAAAPaNeW61+UlJfibJ1yT5YJLHVtVXZnIHjOcPqg8AAADY4x41x74/m+R9ST49yQemY29K8rU7XRQAAACwf8wTPnxpkm+bXm5xOkm6+8+S/P0RhQEAAAD7wzzhw/uSPG7rQFX9wyTWfgAAAAC2NU/4cHuSV1XVlyR5VFU9JclmJpdjAAAAAJzTPLfa/JEkf53ktiQfl+RokpcmuXVAXQAAAMA+Mc+tNk9nEjQIGwAAAICZzXOrzadu91x3/9rOlHPx2Di2MdN+m0c2B1cCAAAAY81z2cXLztr+1CR/J8mJJJ+xYxUBAAAA+8o8l11cuXW7qg4keX6S9+90UQAAAMD+Mc/dLj5Kd38oyYuS/PudKwcAAADYby44fJh6WpIP70QhAAAAwP40z4KTDyQ5vWXo7yZZS/Jvd7ooAAAAYP+YZ8HJrztr+y+T/GF3//kO1gMAAADsM/MsOPkbIwsBAAAA9qd5Lrv4+Xz0ZRfn1N3fsFBFAAAAwL4yz4KT703yVUkOJDkxfe110/E/2vIFAAAA8LfmWfPhHyX5iu7+zTMDVfWFSb63u5++45UBAAAA+8I8Mx8+P8mbzxr7rSRP2blyAAAAgP1mnvDhd5P8UFU9Jkmmjy9K8nsjCgMAAAD2h3nCh29M8gVJ3ldV70zyviRfmGRjQF0AAADAPjHPrTbfnuSfV9XlSdaTvKO7/2RUYQAAAMD+MM/Mh1TVpyS5NskXd/efVNV6VV02pDIAAABgX5h55kNVfXGSVyX57Uwuv/jRJFcl+XdJnjWkOrJx7JGvatk8srmESgAAAODCzDPz4T8n+druPpzk4enYbyW5ZserAgAAAPaNecKHK7r79dPvT08fP5A5Zk8AAAAAF595woe3VtXTzxr7siRv2cF6AAAAgH1mnlkL35nkdVX1y0keU1UvzWSth+uGVAYAAADsC/PcavPNVfXZSb4uydEkDyS5prtPjCqO2cyyKGViYUoAAABWY6bwoaoOJHl9kqd394+OLQkAAADYT2Za86G7P5Tkyln3BwAAADhjnjUfvi/JS6rqBUlO5CN3vEh3f3inCwMAAAD2h3nCh9unj9+QjwQPl0y/P7CTRQEAAAD7xyNeRlFV/2D67ZVbvj5j+nXmewAAAIBzmmXmwx8m+YTu/uMkqapXd/ezx5YFAAAA7BezLCB5yVnb1w6oAwAAANinZgkfTj/yLgAAAADnNstlFwer6kvykRkQZ2+nu39tRHEAAADA3jdL+PBQkqNbtt911vbpWHRyT9g4tvGI+2we2VxCJQAAAFxMHjF86O4rllAHAAAAsE/NsuYDAAAAwAUTPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGOrgqgtgd9k4tjHTfptHNgdXAgAAwH5h5gMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgqIOrLmA7VfVVSb4iySckeVl3/8qKSwIAAAAuwFLDh6o6muSZSR7q7qu3jB9OcmuSA0lu7+5buvs1SV5TVZ+c5MeTCB8AAABgD1r2ZRd3JDm8daCqDiS5LckzkhxKckNVHdqyy/OnzwMAAAB70CWnT59e6htW1RVJXndm5kNVPSXJC7v76dPt5013vWX69avd/T+2OdzpZ734WYMrZhF3PfeuVZcAAADAcl1y9sBuWPPh0iQPbNk+keTJSZ6b5MuSfGJVPaG7f/ZcLz516tT4CrlgT/uxpz3iPptHNpdQybmtr6/n5MmTK3t/9j49xKL0EDtBH7EoPcSi9BBnrK+vn3N8N4QP59TdP5Xkp1ZdBwAAALCY3XCrzQeTXL5l+7LpGAAAALAP7IaZD/ckuaqqrswkdLg+yY2rLQkAAADYKUud+VBVr0jypiRPrKoTVXVTdz+c5OYkdye5L0l3973LrAsAAAAYZ6kzH7r7hm3Gjyc5vsxaAAAAgOXYDWs+AAAAAPuY8AEAAAAYSvgAAAAADCV8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFAHV10AbBzbmGm/zSObgysBAABgBDMfAAAAgKHMfGDPmGWGhNkRAAAAu4+ZDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABjKgpPsK27bCQAAsPuY+QAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChhA8AAADAUO52Adtw5wwAAICdYeYDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChhA8AAADAUMIHAAAAYCjhAwAAADDUwVUXAKuwcWwjSbK2tpZTp06tuBoAAID9TfgACzoTZJzP5pHNJVQCAACwO7nsAgAAABhK+AAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChhA8AAADAUMIHAAAAYKiDqy4AmM/GsY2Z9ts8sjm4EgAAgNmY+QAAAAAMZeYD7CKzzmoAAADYS8x8AAAAAIYSPgAAAABDCR8AAACAoaz5ADwid9gAAAAWYeYDAAAAMJSZD7AE7mIBAABczMx8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMNTBVRdwLlX1GUm+J8kndvfXrLoe2Is2jm3syvfcPLK5hEoAAIDdZGnhQ1UdTfLMJA9199Vbxg8nuTXJgSS3d/ct3f22JDdV1SuXVR8AAAAwxjIvu7gjyeGtA1V1IMltSZ6R5FCSG6rq0BJrAgAAAAZb2syH7n5jVV1x1vA1Se6fznRIVd2Z5Lokb531uGtraztWIxcnPbRcz3nVc2ba767n3jW4kp2zvr7+UdvPevGzZnrdXvoZGevsHoILoY9YlB5iUXqI81n1mg+XJnlgy/aJJE+uqk9J8qIkn1tVz+vuH97uAKdOnRpcIvvZ2tqaHtqlTp48ueoSZrK+vv4xtc7aU3vlZ2Ssc/UQzEsfsSg9xKL0EGdsF0KtOnw4p+5+V5JvWXUdAAAAwOJWfavNB5NcvmX7sukYAAAAsE+seubDPUmuqqorMwkdrk9y42pLAnaDnbxVqNt7AgDAai1t5kNVvSLJm5I8sapOVNVN3f1wkpuT3J3kviTd3fcuqyYAAABgvGXe7eKGbcaPJzm+rDoAAACA5Vr1ZRcAw81yCYdLM+bncwUAYFarXnASAAAA2OeEDwAAAMBQwgcAAABgKOEDAAAAMJQFJwHmcPYii2trazl16tRS3/NcLOwIAMBuZuYDAAAAMJTwAQAAABhK+AAAAAAMZc0HgBWZZS0HAADYD8x8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChhA8AAADAUMIHAAAAYKiDqy4AgMVtHNuYab/NI5s7dqy9bCc/LwAAHpmZDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABhK+AAAAAAMJXwAAAAAhhI+AAAAAEMJHwAAAIChhA8AAADAUMIHAAAAYCjhAwAAADCU8AEAAAAY6uCqCwDYDTaObay6hKXYrT/nLHVtHtncsWPNatZjzVobXIhZ+nBtbS0v/VcvXUI1H7GKvx/+TgLsXWY+AAAAAEMJHwAAAIChhA8AAADAUMIHAAAAYCjhAwAAADCU8AEAAAAYSvgAAAAADCV8AAAAAIYSPgAAAABDCR8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQx1cdQHnUlWPTfIzST6Q5A3dfWzFJQEAAAAXaGnhQ1UdTfLMJA9199Vbxg8nuTXJgSS3d/ctSZ6d5JXdfVdV/WIS4QMAAADsUcu87OKOJIe3DlTVgSS3JXlGkkNJbqiqQ0kuS/LAdLcPLbFGAAAAYIctLXzo7jcmefdZw9ckub+739bdH0hyZ5LrkpzIJIBYao0AAADAzlv1mg+X5iMzHJJJ6PDkJD+V5Ker6iuS3HW+A6ytrY2rjouCHmJRemh76+vrM+03y2e4k8faabPWtlOvf9aLn7XQ+63aXc8976/2ucz6WaziPXfKrD29aB/Oa9a6nvOq5yz9PZf9WezWPpz3/Zb5uY2on9Vb9t+9vehi7v1Vhw/n1N1/meSbZtn31KlTg6thP1tbW9NDLEQPnd/Jkydn2m+Wz3Anj7XTZq3tXNbX1+d+/V7vuUU+r7PN+lms4j2XaW1tbUd/xlnsxs/hjN36WSy7D+d5vws5Fy1ip+tn9ZbdQ3vVxdD724VQq76k4cEkl2/Zvmw6BgAAAOwTq575cE+Sq6rqykxCh+uT3LjakgAAAICdtLSZD1X1iiRvSvLEqjpRVTd198NJbk5yd5L7knR337usmgAAAIDxljbzobtv2Gb8eJLjy6oDAAAAWK5Vr/kAAAAA7HPCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAwlfAAAAACGEj4AAAAAQwkfAAAAgKGEDwAAAMBQwgcAAABgKOEDAAAAMJTwAQAAABhK+AAAAAAMdcnp06dXXcMi9nTxAAAAsA9dcvbAwVVUsYM+5gcCAAAAdheXXQAAAABDCR8AAACAoYQPAAAAwFB7cs2Hqjqc5NYkB5Lc3t23rLgkdqmqenuS9yf5UJKHu/vzqurvJfnFJFckeXuS6u73VNUlmfTVv0zyV0m+sbv/1yrqZrWq6miSZyZ5qLuvno7N3TdVtZHk+dPD/mB3by7z52B1tumhFyb5N0n+bLrbd3f38elzz0tyUybnqm/r7run437fXaSq6vIkL0/y+EwW2P4v3X2rcxGzOk8PvTDORcygqtaSvDHJozP5d+Mru/sFVXVlkjuTfEqS30ny9d39gap6dCY998+SvCvJ13b326fHOmdvcXHZczMfqupAktuSPCPJoSQ3VNWh1VbFLvcl3f2k7v686fZ/SPL67r4qyeun28mkp66afn1zkpcsvVJ2izuSHD5rbK6+mf4D4QVJnpzkmiQvqKpPHl45u8Ud+dgeSpKfnJ6PnrTlP/YPJbk+yT+ZvuZnquqA33cXvYeTfGd3H0ry+Um+dfrn71zErLbrocS5iNn8TZKndvfnJHlSksNV9flJfiSTHnpCkvdkEipk+vie6fhPTvfbtreW+pOwK+y58CGTX5z3d/fbuvsDmaRu1624JvaW65Kc+b8+m0m+asv4y7v7dHe/OcknVdWnraJAVqu735jk3WcNz9s3T0/yq9397u5+T5Jfzbn/Mco+tE0Pbee6JHd299909/9Ncn8mv+v8vruIdfc7zsxc6O73J7kvyaVxLmJG5+mh7TgX8VGm55O/mG5+3PTrdJKnJnnldPzs89CZ89Mrk3zpdFbWdr3FRWYvhg+XJnlgy/aJnP9EysXtdJJfqarfqapvno49vrvfMf3+TzOZjpjoLc5v3r7RT5zLzVX1+1V1dMv/fdZDnFdVXZHkc5P8VpyLuABn9VDiXMSMprNffi/JQ5mEl3+U5L3d/fB0l6398Le9Mn3+fZlcmqGHSLI3wweYxxd29z/NZKrgt1bVF219srtPZxJQwMz0DRfoJUk+M5Opq+9I8p9WWw57QVV9fJJXJfmO7v7zrc85FzGLc/SQcxEz6+4PdfeTklyWyWyFz1pxSexhezF8eDDJ5Vu2L5uOwcfo7genjw8l+aVMTprvPHM5xfTxoenueovzmbdv9BMfpbvfOf2PuA8n+bl8ZMqpHuKcqurjMvlH47HufvV02LmImZ2rh5yLuBDd/d4kv57kKZlc1nXmxgVb++Fve2X6/CdmsvCkHiLJ3rzbxT1JrpqusvpgJouX3LjaktiNquqxSR7V3e+ffv/lSb4/yWuTbCS5Zfr4X6cveW0m0xDvzGRhrvdtmdoKc/VNVd2d5Ie2TGf98iTPW3LN7CJV9WlbzilfneT/TL9/bZJfqKqfSLKeyYKB/zPJJfH77qI1vU76ZUnu6+6f2PKUcxEz2a6HnIuYVVV9apIPdvd7q+oxSZ6WySKSv57kazJZ/+Ps89BGkjdNn/+17j5dVdv1FheZPRc+dPfDVXVzkrszud3P0e6+d8VlsTs9PskvVVUy6fVf6O7/XlX3JOmquinJHyep6f7HM7lF2f2Z3Kbsm5ZfMrtBVb0iybVJHldVJzJZKf6WzNE33f3uqvqBTALTJPn+7p51AUL2uG166NqqelIm0+TfnuQ5SdLd91ZVJ3lrJqvTf2t3f2h6HL/vLl5fkOTrk7xler11knx3nIuY3XY9dINzETP6tCSb0ztTPCpJd/frquqtSe6sqh9M8ruZhFyZPv58Vd2fyaLL1yfn7y0uLpecPu1SQQAAAGCcvbjmAwAAALCHCB8AAACAoYQPAAAAwFDCBwAAAGAo4QMAAAAwlPABAAAAGEr4AAAAAAz1/wE5430J3m6iUQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1550c1ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rezepte.plot(kind='hist', y='votes', \n",
    "        bins=100, logy=True,\n",
    "        legend=None, color='darkgreen', alpha=0.7).set_xlim(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import cycle, islice\n",
    "my_colors = list(islice(cycle(['b', 'r', 'g', 'y', 'k']), None, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 17.5)"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1534d62e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rezepte[['votes','difficulty','year']].groupby(['year','difficulty']).count().unstack().plot(kind='bar',colormap='RdYlGn',stacked=True).set_xlim(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>recipe_id</th>\n",
       "      <th>recipe_name</th>\n",
       "      <th>average_rating</th>\n",
       "      <th>stars_shown</th>\n",
       "      <th>votes</th>\n",
       "      <th>difficulty</th>\n",
       "      <th>preparation_time</th>\n",
       "      <th>date</th>\n",
       "      <th>has_picture</th>\n",
       "      <th>year</th>\n",
       "      <th>new_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3449791514066439</td>\n",
       "      <td>Bratapfel-Rotkohl</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>45.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3449721514056932</td>\n",
       "      <td>„Frühstückswolke 7“ aus Fiefhusen</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>pfiffig</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3449701514054063</td>\n",
       "      <td>Deichgrafensalat von der Westküste</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>30.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3449651514047893</td>\n",
       "      <td>Geschichteter Kohl</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>40.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3449681514052511</td>\n",
       "      <td>Rinderlendenragout</td>\n",
       "      <td>2.5</td>\n",
       "      <td>unb</td>\n",
       "      <td>0.0</td>\n",
       "      <td>normal</td>\n",
       "      <td>15.0</td>\n",
       "      <td>2017-12-24</td>\n",
       "      <td>no</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          recipe_id                         recipe_name  average_rating  \\\n",
       "0  3449791514066439                   Bratapfel-Rotkohl             2.5   \n",
       "1  3449721514056932   „Frühstückswolke 7“ aus Fiefhusen             2.5   \n",
       "2  3449701514054063  Deichgrafensalat von der Westküste             2.5   \n",
       "3  3449651514047893                  Geschichteter Kohl             2.5   \n",
       "4  3449681514052511                  Rinderlendenragout             2.5   \n",
       "\n",
       "  stars_shown  votes difficulty  preparation_time       date has_picture  \\\n",
       "0         unb    0.0     normal              45.0 2017-12-24          no   \n",
       "1         unb    0.0    pfiffig              15.0 2017-12-24          no   \n",
       "2         unb    0.0     normal              30.0 2017-12-24          no   \n",
       "3         unb    0.0     normal              40.0 2017-12-24          no   \n",
       "4         unb    0.0     normal              15.0 2017-12-24          no   \n",
       "\n",
       "   year  new_rating  \n",
       "0  2017         0.0  \n",
       "1  2017         0.0  \n",
       "2  2017         0.0  \n",
       "3  2017         0.0  \n",
       "4  2017         0.0  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rezepte.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb15488e7f0>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb1548ae7b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from string import ascii_letters\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.set(style=\"white\")\n",
    "# Compute the correlation matrix\n",
    "corr = rezepte.drop(['new_rating', 'recipe_id'], 1).corr()\n",
    "\n",
    "mask = np.zeros_like(corr, dtype=np.bool)\n",
    "mask[np.triu_indices_from(mask)] = True\n",
    "\n",
    "f, ax = plt.subplots(figsize=(11, 9))\n",
    "\n",
    "cmap = sns.diverging_palette(220, 10, as_cmap=True)\n",
    "\n",
    "# heatmap with mask and correct aspect ratio\n",
    "sns.heatmap(corr, mask=mask, cmap=cmap, vmax=.3, center=0,\n",
    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_correlation_map(df):\n",
    "    corr = rezepte.drop(['new_rating', 'recipe_id'], 1).corr()\n",
    "    _ , ax = plt.subplots( figsize =( 12 , 10 ))\n",
    "    cmap = sns.diverging_palette( 220 , 10 , as_cmap = True )\n",
    "    _ = sns.heatmap(\n",
    "        corr, \n",
    "        cmap = cmap,\n",
    "        square=True, \n",
    "        cbar_kws={ 'shrink' : .9 }, \n",
    "        ax=ax, \n",
    "        annot = True, \n",
    "        annot_kws = { 'fontsize' : 12 })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jksKTmv+fSco/nCOTyayopvG6eMQ1atGhs28uSC2Zs3qTr0uoM2P69dCN/XspMMCqZVt26x9zvvKs8zrtvhv1zvIftHDjDo0b3Fu3XX6pSsqrNqNXvvBvz8/XXNJFtwy6REEBVm08cEivzF2qIwWFdXo+dWXJMw/4uoRq9t98l9eP0ertf59/kB8w3LxKlR9P7tmzR5LUpk2bc96kZQTNK86loTevuHANpXmFdzSm5hUXhubVv/2iLynYtGmTsrKy5HQ6tW1b5UcT1113nVcKAwAAaDSY9mWY4eb18ccfV2Zmpjp27CiLpfJrBE0mE80rAAAA6ozh5nXTpk2aN29elYWwAQAAUHP0V8YZzqjbt2+vI0eOeLMWAAAA4JwMJ6/Hjx9XamqqunXrVmVprClTpnilMAAAgEbDTPJqlOHmNT093Zt1AAAAAOdluHnt06ePN+sAAABovEysNmDUeZvXG2+8Ue+995569uxZZTLxT19FuGbNGq8WCAAA0OBxw5Zh521e33vvPUnS2rVrvV4MAAAAcC6GM+rHH3/c0DYAAAD8MiazyeuPhsJw87pr164qzx0OhzZv3lzrBQEAAABnc95pA1OnTtWUKVNUVlamXr16Saqc72qz2TR27FivFwgAANDgMefVsPM2r3fffbfuvvtuvfzyy3r00UfroiYAAADgjAwvlfXoo48qPz9f+/fvV1lZmWd77969vVIYAABAo2FmqSyjDDevH3zwgaZPn66cnBx17NhR69evV48ePTR9+nRv1gcAAAB4GG7zp0+frg8//FAJCQmaMWOGMjIyFBER4c3aAAAAGgWT2ez1R0Nh+ExsNpsCAwMlSeXl5UpKStLevXu9VhgAAABwOsPTBuLj41VQUKArrrhCt912myIiIpSQkODN2gAAABoHVhswzHDz+tprr0mS0tPTdemll+rkyZMaOHCg1woDAAAATmeoeXU6nUpNTdX8+fMlSX369PFqUQAAAI0Kyathhua8WiwWtWnTRtnZ2d6uBwAAADgrw9MGCgoKlJqaqm7duik4ONizfcqUKV4pDAAAoNFoQKsBeJvh5vXBBx/0Zh0AAADAeRluXs83z/WGG27QzJkza1wQAABAY2NizqthtZZRn/qVsQAAAIA3GE5ez4e/GAAAAC4QfZRhzA4GAACA36i15NXtdtfWWwEAADQuZpJXo35R8pqVlaWvv/5aklRaWqrCwkLPay+99FLtVgYAAACcxnDzOmvWLP3+97/XhAkTJEk5OTm6//77Pa8nJyfXfnUAAACNgcns/UcDYfhM3nnnHb333nsKCwuTJLVu3Vp5eXleKwwAAKCxMJlNXn80FIabV5vNJpvN5nnucDi8UhAAAABwNoZv2Ordu7emTJmi0tJSrVy5Uu+++65SUlK8WRsAAEDjwNfDGmb4Sj322GOKiYlRcnKyZs6cqcGDB+uhhx7yZm0AAABAFYaTV7PZrLFjx2rs2LHerAcAAKDx4UsKDDPcvF599dXVtoWHh6tLly669957FR0dXauFAQAAAKcz3LwOHDhQFotFV111lSRp3rx5KikpUZMmTfTkk09qypQpXisSAACgITORvBpmuHn95ptvlJGR4XneoUMHXX/99crIyDhjKgsAAADUNsM3bDmdTm3YsMHzfMOGDXI6nZIki8VS+5UBAAA0Fmaz9x8NhOHk9fnnn9cf//hHFRUVSZJCQ0P15z//WcXFxbrrrru8ViAAAADwE8PNa7du3fTZZ5/p5MmTkipv1vrJyJEja78yAACAxoI5r4YZbl4lacmSJdq5c6fKyso82x544IFaLwoAAAA4E8PN64QJE1RaWqrvvvtOY8aM0RdffKGuXbt6szYAAIDGgeTVMMOzd9euXauXXnpJEREReuCBB/T+++9r3759XiwNAAAAqMpw8hoYGChJCg4OVm5urqKjo3XkyBGvFQYAANBYmBrQagDeZrh5vfzyy1VQUKA77rhDaWlpMplMGjNmjDdrAwAAAKow1Ly6XC7169dPERERGj58uC6//HKVlZVVWXEAAAAAF4g5r4YZyqjNZrOeffZZz3ObzUbjCgAAgDpneNpAv3799MUXX2jYsGF8/y4AAEBtMtff3mrZsmX685//LJfLpTFjxlT7cqoXXnhB3333nSSptLRUx44d0+rVqyVJnTp1UnJysiSpWbNmmjJlSo3rMdy8vv/++5o2bZosFosCAwPldrtlMpm0Zs2aGhcBAACA+sfpdOrZZ5/VtGnTZLfbNXr0aKWkpKhdu3aeMU899ZTn5xkzZmjLli2e50FBQfrkk09qtSbDzevatWtr9cAAAAD4UT39VHvDhg1q1aqVEhMTJUmpqalatGhRleb1VHPnzlV6erpXazK8LoPb7dYnn3yi1157TZJ06NAhbdiwwWuFAQAANBYms9nrj0mTJqlDhw7VHpMmTTprXbm5uYqPj/c8t9vtys3NPePYrKwsHTx4UH379vVsKysrU1pamsaOHauFCxfWyrUynLw+88wzMpvN+vbbb3X//fcrJCREf/rTnzR79uxaKQQAAADek56e7tVUdO7cuRo+fLgsFotn21dffSW73a7MzEyNGzdOycnJatmyZY2OYzh53bBhgyZOnOj5soLIyEhVVFTU6OAAAACQZDJ7/3EB7Ha7cnJyPM9zc3Nlt9vPOHbevHlKTU2ttr8kJSYmqk+fPlXmw14ow2ditVrldDo9Kw3k5eXJzLdBAAAANFhdu3bVvn37lJmZqfLycs2dO1cpKSnVxu3evVsFBQXq2bOnZ1t+fr7Ky8slVfaNa9asOetc2V/C8LSBW265Rffff7+OHTumV155RfPnz9dDDz1U4wIAAAAavXq6VJbVatWECRN05513yul0atSoUWrfvr1effVVdenSRUOGDJFUmbqOHDmyynKqu3fv1sSJE2UymeR2u/W73/2uVppXk9vtdhsdvHv3bn377bdyu93q16+fkpKSanTwnQOG12h/NGwR8z7ydQmop2YsW+XrElCPzVm9ydcloJ5b8swDvi6hmty/vOL1Y9ifeNjrx6gLhpPX559/XiNHjtRNN93kzXoAAAAaHb4AyjjDzetFF12k119/XXv37tXQoUM1cuRIde3a1Zu1AQAAAFUYbl6vv/56XX/99Tpx4oQWLFigv//97zp06JAWLFjgzfoAAAAavgtcDaAx+sVX6sCBA9qzZ4+ys7PVtm1bb9QEAAAAnJHh5PWll17SwoULlZiYqNTUVN13332KiIjwZm0AAACNQz1dbaA+Mty8tmzZUu+//75nna/t27dLknr37n3BB+ducpxLwcg0X5eAeso1/glfl4B6rK29ia9LAOBFhptXs9mscePGKScnRx07dtT69evVo0cPTZ8+3Zv1AQAANHysNmCY4TmvM2bM0IcffqiEhATNmDFDGRkZTBsAAABAnTKcvNpsNgUGBkqSysvLlZSUpL1793qtMAAAgMbCxJxXwww3r/Hx8SooKNAVV1yh2267TREREUpISPBmbQAAAEAVhpvX1157TZKUnp6uSy+9VCdPntTAgQO9VhgAAECjwTqvhhluXk/Vp0+f2q4DAAAAOK8Lal4BAABQi1htwDAyagAAAPgNklcAAABfY7UBw2heAQAAfMxk5sNwo7hSAAAA8BskrwAAAL7GUlmGcaUAAADgN0heAQAAfI0btgwjeQUAAIDfIHkFAADwMRNfUmAYySsAAAD8BskrAACAr5G8GkbyCgAAAL9B8goAAOBrfMOWYVwpAAAA+A2SVwAAAF9jzqthJK8AAADwGySvAAAAPsY6r8aRvAIAAMBvkLwCAAD4GqsNGMaVAgAAgN8geQUAAPA15rwaRvIKAAAAv0HyCgAA4GvMeTWM5hUAAMDHTGamDRhFmw8AAAC/QfIKAADga9ywZRjJKwAAAPwGySsAAICvmcgTjeJKAQAAwG+QvAIAAPgYqw0YR/IKAAAAv0HyCgAA4GusNmAYySsAAAD8BskrAACAr7HagGFcKQAAAPgNklcAAABfY7UBw0heAQAA4DdIXgEAAHzMxGoDhpG8AgAAwG+QvAIAAPgac14NI3kFAACA3yB5BQAA8DUzeaJRXCkAAAD4DZJXAAAAX+MbtgzjSgEAAMBvkLwCAAD4GOu8GkfzCgAA4GsslWUY0wYAAADgN0heAQAAfI1pA4aRvAIAAMBvkLwCAAD4GktlGcaVAgAAgN8geQUAAPAxE6sNGEbyCgAAAL9B8goAAOBrrDZgGMkrAAAA/AbJq5cV5Ofrr88/q1XffqPIqCjddX+6ho64stq4We++rdkzZyo//4SCg4OVMnSY7v39Q7JarTqel6d/vvw3rVvzg0pLStUmKUkPPPyIOnfp6oMzQl2KTLtGESOHyta2tQoXLlHuCy/7uiTUQFCAVSO6d1TruBiVlFdo2bbd2pp1+IxjB3dqq24tEyRJGw5ka+nWPZ7XmkaEaUT3jooND9Gxk8Wav36bDhcUnnff6NBg/apzkppHR8pkMinnxEkt2rRDeUUlkqSOCU01oEMbhQba5HC5tPfwMS3ctFPlDqdXrgdqbmi3ZI3s2Uk2q1Wrd2dqxrLVcrhc1cZZzGbdfUU/tY6LUZOIUP31k8Xanl393z2L2aw/jR2uoIAAPTbj07o4BfzETJ5oFFfKy1556S+yWq36+IuFevq5P+sff3lRe3fvrjau/6DB+s/b72r+kuV66/0PtGvnDs2e+b4kqaS4WB07X6Q3ZryjOYu+0ojUqzT+oQdVXFxc16eDOuY4ekx5b72rgrkLfF0KasHQrslyuVx6bcFKzVm7RcO6dlBsWEi1cd1bJah9fJymLV2laUu/V5K9iXq0qmxGzSaTru/dVVuycvTP+cu16eAhXd+7q8w/fuR4rn0DA6zalXNM//nqO722YKUOnSjQ9X1+/iM4Ky9f76xco1fnL9e/F30rs8mkgR3a1sGVwYW4KDFeI3t21t8+/UqPz/hUcRFhuq53l7OO35lzRG8s+kYnfvxj5Uyu7NFRJ0vKvFEuUGtoXr2opKRESxcv0p333KeQkBB169FT/QcN0hfz5lYb27xFosLDwyVJbrdbZpNZWZmZkqSEFi10w003q0mTOFksFl2TNkoVjgpl7t9Xl6cDHyhatlJFy7+Rq6DA16WghgIsZiU3i9Py7XtV4XQqKy9fu3KP6qIW8dXGdmkRr1W7D6iwtEyFpeVatTtTXRIrx7VsEiWzyaTVew7K6XJrzd4smUxSqybR590358RJbcw8pNIKh1xut1bvyVRsWKiCAio/hDtZWqaS8gpPHS63FBUa7O1LgwvUv0MbLd+2R9nHC1RcXqHPftis/h3bnHGs0+XSlxt2aGfOUbnc7jOOaRIeqr7JrTRv7VZvlo2zMJlMXn80FIaa1x9++MGT8n3yySd68cUXlZWV5dXCGoLMA/tlsViV2KqVZ1tS+2Tt21M9eZWkL+d/rhG/Gqirh6Zo184duiZt1BnH7dy+XY6KCjVPTPRK3QBqX3RoiFxut46fknodzi9Uk/DQamObhIfqcEGR5/mRgp/HNQkP1ZGThVXGn/762fY9XYvYKBWWlqm0wuHZ1jwmUg+OGKiHRw5ScrM4/bA38wLOFnWheXSEMo8e9zzPPHZckSHBCg20XdD73TSglz76bgPTRFDvGWpen3nmGQUHB2vbtm2aNm2aWrZsqfHjxxs+yKRJk9ShQ4dqj4aupLhYoaFV/6cRFhZ21o/7h464UvOXLNc7sz/WtWmjFR0TU21MUWGhnp/4tG698y6FhYV7pW4Atc9mtajslCZRksocDtmslmpjA6wWlTkcp42rTEcDLGd4n4qf3+dc+54qLChQQ7sk66vNu6psz8rL16vzl+tfX67Uqt0HlF9c+gvPFHUlMCCgSlL+089BtoBf/F692jSX2WzSmr0EUz5jNnv/0UAYOhOr1SqTyaSFCxfqpptu0k033aSioqLz7/ij9PR0bd++vdqjoQsOCal2nYqKihQSUn2O26kSW7ZUm6Qk/eOvL1bZXlZaqiceeUgXdemqm2+7vdbrBeA95Q6nAgOqNpGBVusZU64Kh7NKU2uzWlT+Y0Na4XRWa0Ztp7zPufb9SbAtQGP7dtfa/VnaeoabdiTINmCJAAAgAElEQVSpsLRcew7n6ZqLL/oFZwlv6tu+lf515yj9685Rejh1kMoqKhR8SqMaFFD5c+kpDa0RNqtFY/r20Dsr1tRqvYC3GFptIDQ0VFOnTtWnn36qd955Ry6XS47TfhmiusSWreR0OpR54IASW7aUJO3euUOt2yadd1+nw6HsrIOe5+Xl5Xrq8UcU19Sux576o9dqBuAdx4uKZTaZFB0a7Jk6EBcRpqMnqwcBR08WqWlEmHJOnJRUubrAT+OOnixS77ZVpwzFRYRp7b6s8+4rVd60NbZvd+3KOapvd+4/Z81ms0lRIcx5rS++3bm/yj+zu67op8TYKK3aXTm1I7FJlPKLS1RUVv6L3tceGa7Y8FA9ed0QSZUrDoTYAvTKuGv1/EcLdewM/47CCxrQnFRvM5S8vvLKK7LZbHrhhRcUFxennJwc3XHHHd6uze8FBwdr0OUpenPq6yopKdHG9eu0YulSDR+ZWm3snI8zdDwvT5K0b88evf3fabq4dx9JksNRoQnjH1dgYJCeeuZPMjeg6B/nYTHLZAvwfORjsgVIFv75+6MKp0s7Dh3RgA5tFGAxq3l0pNrHN9HmgznVxm4+mKPebRMVFmRTWKBNvZNaalNm5bgDR0/I5ZYubtNCFrNJPVs3lyTt/3Hu47n2tVktGntpd2Xl5WvZtj3Vjtu5uV3hwYGSpIjgQA3q2Nbzvqh/vt6+VwM7tVVCdISCbQG6+uKLtHLb3rOOt5rNsv74++PUn7Py8vXYjE81cdYXmjjrC/13ySoVlJRp4qwvlFfIqjaofwwlr3FxcRo2bJj276/8iy86OlpXXHGFVwtrKB4Z/6T+8tyfdO2wIYqIjNIjTzypNklJWr92jf7wYLq+WLZSkrRx/Tq98fprKikuVlR0tH415Ardcc99kqRN6zfo6xXLFRgYpNSUwZ73funVSeres5dPzgt1I2bcbxR7+y2e5xEjrtCxN2co7823fVgVLtSXG3foyh4ddf+wASqtqNCCjdt1rLBYLWIiNfrSbvrfz5dLktbtz1ZkSLBuG1z5B+yGA4e0bn+2JMnlditj1UaN6N5Rgzq1VV5hsTJWbfTcQX6ufdvHx6lZdIRiw0M9KxBI0v8t+V4nS8oUGx6iwZ3aKjAgQGUVFdpzOE9Lt575BlP43qbMHH2+dpsevyZFNqtFP+zJ1MerNnlef+6GKzV3zRZPWvvCjalqElF5H8ajV/9KkvT425/p2MkiFZT8PLe5qKxcLre7yjbUATPJq1Emt/ssa2acYtasWZo5c6by8/O1cOFC7du3TxMnTtRbb71Vo4PnFvBRBM6uYGSar0tAPZUx/glfl4B6bNvBXF+XgHruzXt/7esSqilc/rXXjxE28DKvH6MuGPr88Z133tF7772nsLAwSVLr1q2V9+NH3AAAAKgZk8ns9UdDYWjagM1mk83287px3KwFAABQi7hhyzBDzWvv3r01ZcoUlZaWauXKlXr33XeVkpLi7doAAACAKgxlyI899phiYmKUnJysmTNnavDgwXr44Ye9XRsAAEDjYDZ5/9FAGEpeZ8yYoXHjxmns2LGebW+99ZbGjRvntcIAAACA0xlKXj/++ONq2zIyMmq9GAAAgEbJZPb+o4E4Z/I6Z84czZkzRwcPHtQ999zj2V5UVKTIyEivFwcAAACc6pzNa8+ePRUXF6fjx4/r9ttv92wPDQ1Vhw4dvF4cAABAY2BqQHNSve2czWvz5s3VvHlzzZw5U0ePHtXGjRslSUlJSbJaDU2XBQAAAGqNoQkQn3/+ucaMGaP58+dX+RkAAAC1wGTy/uMCLVu2TMOHD9fQoUP173//u9rrH330kfr27atrr71W1157rT744APPaxkZGRo2bJiGDRtWa/dLGYpPX3/9dX344YeKjY2VJOXl5enWW2/ViBEjaqUIAAAA1D9Op1PPPvuspk2bJrvdrtGjRyslJUXt2rWrMm7kyJGaMGFClW0nTpzQ5MmTNXv2bJlMJqWlpSklJaXG900ZSl7dbrencZWkqKgoud3uGh0YAAAAP6qnyeuGDRvUqlUrJSYmymazKTU1VYsWLTK074oVK9S/f39FRUUpMjJS/fv31/Llyy+ojlMZSl4HDhyoO+64Q6mpqZKkefPmadCgQTU+OAAAAOrGpEmTNHny5GrbH3jgAaWnp59xn9zcXMXHx3ue2+12bdiwodq4BQsWaNWqVWrTpo2efPJJNWvW7Iz75ubm1vg8DDWvsbGxuvrqq7Vt2zZJ0g033KChQ4fW+OAAAACQTGbvr8Oanp5+1ia1Ji6//HJdddVVstlsev/99zV+/HhNnz691o/zE0NXqqSkRG+88YY2bNigFi1aqGfPnl4rCAAAAPWD3W5XTk6O53lubq7sdnuVMdHR0bLZbJKkMWPGaPPmzYb3vRCGmtcHHnhAc+fO1YQJE3TkyBHdfPPNuvXWW2t8cAAAAEgym73/uABdu3bVvn37lJmZqfLycs2dO1cpKSlVxhw+fNjz8+LFi5WUlCRJGjBggFasWKH8/Hzl5+drxYoVGjBgwIVfox/9osVaY2Nj1aRJE0VFRenYsWM1PjgAAADqL6vVqgkTJujOO++U0+nUqFGj1L59e7366qvq0qWLhgwZohkzZmjx4sWyWCyKjIzUiy++KKnyBv/77rtPo0ePliTdf//9ioqKqnFNJreBZQPeeecdzZ8/X3l5eRoxYoSuvPLKakskXIjcgqIavwcaroKRab4uAfVUxvgnfF0C6rFtB2t+Qwgatjfv/bWvS6imZP0mrx8juHsXrx+jLhhKXnNycvTUU0+pU6dO3q4HAAAAOCtDzeujjz7q7ToAAAAaL/OFfwNWY+P9dRkAAACAWvKLbtgCAABA7TOZyBONonkFAADwtQv8+tbGiDYfAAAAfoPkFQAAwNe4YcswklcAAAD4DZJXAAAAX2POq2EkrwAAAPAbJK8AAAA+xlJZxnGlAAAA4DdIXgEAAHyN1QYMI3kFAACA3yB5BQAA8DUzeaJRXCkAAAD4DZJXAAAAHzOxzqthJK8AAADwGySvAAAAvsacV8O4UgAAAPAbJK8AAAC+xpxXw0heAQAA4DdIXgEAAHyN5NUwklcAAAD4DZJXAAAAHzOZSV6NonkFAADwNRMfhhvFlQIAAIDfIHkFAADwNW7YMozkFQAAAH6D5BUAAMDXuGHLMJJXAAAA+A2SVwAAAB8zsdqAYVwpAAAA+A2SVwAAAF9jzqthJK8AAADwGySvAAAAPlYSFOj1Y4R7/Qh1g+QVAAAAfoPmFQAAAH6D5hUAAAB+g+YVAAAAfoPmFQAAAH6D5hUAAAB+g+YVAAAAfoPmFQAAAH7Dp19SMGPZKl8eHvWca/wTvi4B9dT1f/2Lr0tAPfZW+kO+LgGAF5G8AgAAwG/QvAIAAMBv0LwCAADAb9C8AgAAwG/QvAIAAMBv0LwCAADAb9C8AgAAwG/QvAIAAMBv0LwCAADAb/j0G7YAAAAgVVgCfF2C3yB5BQAAgN8geQUAAPAxt9vXFfgPklcAAAD4DZJXAAAAH3MRvRpG8goAAAC/QfIKAADgY26SV8NIXgEAAOA3SF4BAAB8jOTVOJJXAAAA+A2SVwAAAB9jtQHjSF4BAADgN0heAQAAfIzg1TiSVwAAAPgNklcAAAAfY7UB42heAQAAfMwlmlejmDYAAAAAv0HyCgAA4GNMGzCO5BUAAAB+g+QVAADAx/iSAuNIXgEAAOA3SF4BAAB8zOUieTWK5BUAAAB+g+QVAADAx5jyahzJKwAAAPwGySsAAICPsc6rcSSvAAAA8BskrwAAAD7mEsmrUSSvAAAA8BskrwAAAD7GnFfjSF4BAADgN0heAQAAfIzk1TiSVwAAAPgNklcAAAAfcxG8GkbyCgAAAL9B8goAAOBj9XnO67Jly/TnP/9ZLpdLY8aM0V133VXl9WnTpumDDz6QxWJRTEyMXnjhBTVv3lyS1KlTJyUnJ0uSmjVrpilTptS4HppXAAAAH6uvzavT6dSzzz6radOmyW63a/To0UpJSVG7du08Yzp16qTZs2crODhY7777rv72t7/pf//3fyVJQUFB+uSTT2q1JqYNAAAA4Iw2bNigVq1aKTExUTabTampqVq0aFGVMX379lVwcLAkqUePHsrJyfFqTTSvAAAAPuZyu73+mDRpkjp06FDtMWnSpLPWlZubq/j4eM9zu92u3Nzcs47/8MMPNWjQIM/zsrIypaWlaezYsVq4cGGtXCumDQAAADQC6enpSk9P99r7f/LJJ9q0aZPefvttz7avvvpKdrtdmZmZGjdunJKTk9WyZcsaHYfmFQAAwMdc9XTOq91urzINIDc3V3a7vdq4r7/+WlOmTNHbb78tm81WZX9JSkxMVJ8+fbRly5YaN69MGwAAAMAZde3aVfv27VNmZqbKy8s1d+5cpaSkVBmzZcsWTZgwQa+//rpiY2M92/Pz81VeXi5JysvL05o1a6rc6HWhSF4BAAB8rL6uNmC1WjVhwgTdeeedcjqdGjVqlNq3b69XX31VXbp00ZAhQ/TSSy+puLhYDz74oKSfl8TavXu3Jk6cKJPJJLfbrd/97nc0rwAAAPCuwYMHa/DgwVW2/dSoStJ///vfM+7Xq1cvffbZZ7VeD80rAACAj9XXOa/1EXNeAQAA4DdIXgEAAHyM4NU4klcAAAD4DZJXAAAAH6uvqw3URySvAAAA8BskrwAAAD7GagPGkbwCAADAb5C8AgAA+BhzXo2jea2h0uIiLZs5XVk7tigoNEy9R16vdr36VBvndrv1/dyPtP27lZKkDpf2V5/UNJlMJknSsaxMLZs1XcdzDyna3kyDxv5Wsc0TJUlOR4W+/niW9m9cK5fTKXubJA0YfZNCI6MlSXP+9bIO798jk9kiSQqNjNLYJ56ti9PHaYICrBrRvaNax8WopLxCy7bt1tasw2ccO7hTW3VrmSBJ2nAgW0u37vG81jQiTCO6d1RseIiOnSzW/PXbdLig8Lz7RocG61edk9Q8OlImk0k5J05q0aYdyisqkSR1TGiqAR3aKDTQJofLpb2Hj2nhpp0qdzi9cj3gXZFp1yhi5FDZ2rZW4cIlyn3hZV+XBC+7LLm1BnZsqwCrRZszc/TpD5vldLnOOLZt01hdfXFnRYYE6+CxE/ro+w06UVxaZUywLUAPXTlIR08W6o3F33m2B1jMGtGjo7okNpPlx98l//nqu9MPAfgEzWsNfT37PVksFt38zN90LOug5v/fJMUktFBMfEKVcdu+Xa79m9Yr7dGnZTJJ86a+qvCYJup82WA5HQ4tmPYvdRk4RJ37D9bWb5ZrwbR/aewTz8litWrTssU6vG+P0h6bIFtQsJZ/8La+znhfQ2+91/P+l11/ozr2HVDXp4/TDO2aLJfLpdcWrFTTyDCN7tNNh/MLdaywuMq47q0S1D4+TtOWrpLk1ti+PZRfXKp1+7NlNpl0fe+u+mFvptbuy1L3Vgm6vndXvbH4W7nc7nPuGxhg1a6cY/p83TaVO5y6LLm1ru/TVf/31feSpKy8fL2zco1KyisUYLFoeLdkDezQVos276z7i4Uacxw9pry33lVIn0tkDrT5uhx4Wbv4JhrUqa3e/Op7FZSU6qYBvTSkSzst2LCj2tgQW4B+07+nMlZt0vbswxrStb1uuKynpi78psq44d066EhBoX7MUTyuvaSLzGaTXv18uUrKy9UsKsKbpwaxzusvwZzXGqgoK9PejWt08ZXXKiAwSPFt26nVRd21a/W31cbuWPWNug6+QmFR0QqNjFbXwVdo56rKXyKHdu+Qy+lSl0FDZLEGqMvAFLndbmXv2iZJOpl3VC06dFZIeISsAQFK6nGJjuccqtNzxfkFWMxKbhan5dv3qsLpVFZevnblHtVFLeKrje3SIl6rdh9QYWmZCkvLtWp3prokVo5r2SRKZpNJq/cclNPl1pq9WTKZpFZNos+7b86Jk9qYeUilFQ653G6t3pOp2LBQBQVU/p16srRMJeUVnjpcbikqNNjblwZeUrRspYqWfyNXQYGvS0Ed6Nm6uX7Yc1CHCwpVWuHQV5t3q2frFmcc27lFvA4XFGrzwRw5XC4t3rRL8ZHhahIe6hmTGBulppFhWrPvYJV9m4SHqmNzuz5ZtVnFZeVyu6Xs4/w7hvqD5LUG8o/kymQ2KyrO7tkW26yFDu2p/lfw8dxsxSYk/jwuoYWO52ZXvpaTrZiE5p4pBJIU06yFjuccUmLHLupwaX998/EsFeWfUGBwiHat+U6JHS+q8v6r5mXo+7kfKappvC658loltOtQ26eL84gODZHL7dbxHz+il6TD+YVKjI2qNrZJeKgOFxR5nh8pKPT8T6VJeKiOnCysMv6n1/ceyTvnvqdrERulwtIylVY4PNuax0RqdJ9uCgywqtzh1MerN17YCQOoU00jw7Q1K9fzPOdEgcKDAxVsC6jyR+lPYw+dOOl5XuF0Kq+oWE0jw3T0ZJFMJunqizvr41WbZI8Mr7Jvi9hInSgqUUqXdurRurlOlpRp8ead2nIwV/AeVhsw7hc1r6WlpcrOzlbbtm29VY9fqSgvky2oamplCw5WRVlZtbGOsqpjbUGV49xu95nfJyhYFWWVc5Mim9gVGhWtd58dL5PZrJj45ros7UbP2D6paYqyN5PFatHutau14M3XlPbI04poElebp4vzsFktKjulSZSkModDNqul2tgAq0VlDsdp4yr/cwywnOF9Kn5+n3Pte6qwoEAN7ZKsrzbvqrI9Ky9fr85frrAgm7q3TFD+aXPgANRPgVZrld8NP/1RGmi1VmteA60WFZWVV9lWWuFQ4I+/K/q1b63MY/nKPl5QrXmNDA5SfFS4thzM0UufLlZibLRuGXixjuR/rSMniwTv4IYt4wxPG1i8eLGuvfZa3XnnnZKkrVu36p577jG076RJk9ShQ4dqD38XYAtUeWlJlW3lpaUKCAysNtYaGKjyspJq40wmkwJsgaoordpAVJSVKCAwSJK08qN35XQ4dMtz/9BtL/5Trbv11Pw3/ukZ27RVG9mCgmSxBii5dz/ZWyfpwFbStLpW7nAqMKBqExlotZ7xZqgKh7NKU2uzWlT+Y0Na4XRWa0Ztp7zPufb9SbAtQGP7dtfa/Vnamn3mG8YKS8u153Cerrn4ojO+DsC3urdK0NNpQ/V02lD9dtAlKnM4qvyO+ennstP++6/cdubfR2UOh8KDAtWvfSst3Fj9U0JJqnC65HC6tGTLbjldbu07kqe9h/PULr5JLZ4dcOEMN6+TJ0/Whx9+qIiIyknbnTp1UlZWlqF909PTtX379moPfxcZZ5fb5VL+kZ8/SjmWfVDR9oRqY6PtCcrL/nleUd4p46LjE5R36GCVv7ryDmUpOr6Z5z2Te/dTUEioLNYAXTTgch05sE+lhVU/WvY4feY96sTxomKZTSZFnzKHNC6i8iO60x09WaSmEWGe501PGVf5WtVpAHHVXj/zvlLl/9DG9u2uXTlH9e3O/ees2Ww2KSqEOa9AfbR+f7ae++hLPffRl5q+bLUO5xcqPurnlLRZVLhOlpRVS10l/Tj255usAiwWxYSF6HB+oVrERiosOFC/HzFQ469JUWrPTmoeE6Xx16TIZKqcO386t0gFvc3ldnv90VAYbl6tVqvCw8PPP7ARCQgMVOuuPfXD/M9UUVamnL27tH/zOrW7pG+1se0v6auNSxeqKP+4ivJPaMPSL9W+dz9JUrOkZJnMZm1evlhOR4U2r/hKkpTQrqMkKS6xlXau/lblJSVyOZ3asnKJQiKiFBQWprKSYmVu2yxHRYVcTqd2/fCdcvbsVIuOpGl1rcLp0o5DRzSgQxsFWMxqHh2p9vFNtPlgTrWxmw/mqHfbRIUF2RQWaFPvpJbalFk57sDRE3K5pYvbtJDFbFLP1s0lSfuPHj/vvjarRWMv7a6svHwt27an2nE7N7crPLjyk4GI4EAN6tjW877wQxazTLYAyWyWzD/+bOE+3IZq3b4sXdwmUXERYQoKsOpXndtp7Wk3W/1kS1au7BFh6tzCLqvZrMsvaqfc/JM6erJIOw4d1ctzlui1BSv02oIVWrRppw6dKNBrC1bI7Zb2HclTfnGJBnVqK7PJpJZNotS2aax25hyt4zMGzszwnNd27drps88+k9Pp1L59+zRjxgz17NnTm7X5hf6jfqNl77+lt595TIEhoRow6ibFxCfo0J6dmv/GJN32YuXH+536DdLJY0c1+2+V6692uHSAOvUbJEmyWK0aeuu9Wv7BDH0/N0NR9ngNvfVeWX786PjSq0fr64yZmvmXp+VyOBQdn6Cht1VO2XA5nVo9/xPlH86RyWRWVNPKfU+9iQx158uNO3Rlj466f9gAlVZUaMHG7TpWWKwWMZEafWk3/e/nyyVJ6/ZnKzIkWLcNrlwTeMOBQ1q3v/IGPpfbrYxVGzWie0cN6tRWeYXFyli10fNX87n2bR8fp2bREYoND/WsQCBJ/7fke50sKVNseIgGd2qrwIAAlVVUaM/hPC3durvOrg9qV8y43yj29ls8zyNGXKFjb85Q3ptv+7AqeMvOnKNavm2P7ri8j6wWi7YczNGiTT/PaU8fMUDLtu7R+v3ZKi4r13tfr9VVvTprzKXddTDvhGZ+vU6S5HS5VFj683zY0gqHXKdsc7ndemfFGl3Xu4sGdWqrE0Wl+vC7DWf8FAm1pyElo95mchucIVxSUqIpU6ZoxYoVcrvdGjhwoO677z4FnmF+p1F/n7PkgvdFw8d/yDib6//6F1+XgHrsrfSHfF0C6rnnb7jS1yVUs2Rr9U/LatuvOjWMG+4NJ6/BwcF6+OGH9fDDD3uzHgAAgEaH1QaMM9y8bty4UVOnTlVWVpYcp9zZ+Nlnn3mlMAAAAOB0hpvXxx57TH/4wx+UnJwss5kbAgAAAGoLyatxhpvXmJgYDRkyxJu1AAAAAOdkuHn9/e9/rz/+8Y/q16+fbDabZ/uwYcO8UhgAAEBj4SJ4Ncxw8zp79mzt2bNHDoejyrQBmlcAAADUlV90w9YXX3zhzVoAAAAaJea8Gmf4zqtevXpp165d5x8IAAAAeInh5HXdunW67rrr1Lx58ypzXlkqCwAAoGZIXo0z3Lz+5z//8WYdAAAAwHmdt3ktLCxUWFiYQkND66IeAACARsclklejztu8Pvroo5o6darS0tJkMpmqxNomk0mLFi3yaoEAAADAT87bvE6dOlWStHjxYq8XAwAA0Bgx59U4w6sNjBs3ztA2AAAAwFvOm7yWlZWppKREx48fV35+vucvg8LCQuXm5nq9QAAAgIaOb9gy7rzN6/vvv6+33npLhw8fVlpamqd5DQsL08033+z1AgEAAICfnLd5HTdunMaNG6cZM2bolltuOeu4lStXqn///rVaHAAAQGPgIno1zPCc13M1rpL097//vcbFAAAANEZut9vrj4bCcPN6Pg3pogAAAKB+MvwNW+djMplq660AAAAaFUJA42oteQUAAAC8rdaS1+bNm9fWWwEAADQqfD2scb+oeV2zZo2ysrLkdDo926677jpJ0uTJk2u3MgAAAOA0hpvXxx9/XJmZmerYsaMsFoukynmuPzWvAAAAuDDMeTXOcPO6adMmzZs3jxuzAAAA4DOGb9hq3769jhw54s1aAAAAGiW32/uPhsJw8nr8+HGlpqaqW7duCggI8GyfMmWKVwoDAAAATme4eU1PT/dmHQAAAI2WqyFFo15muHnt06ePjh49qo0bN0qSunXrptjYWK8VBgAAAJzO8JzXefPmacyYMZo/f74+//xzz88AAACoGbfb7fVHQ2E4eZ0yZYo+/PBDT9qal5enW2+9VSNGjPBacQAAAMCpDDevbre7yjSBqKioBtXFAwAA+Ao9lXGGm9cBAwbojjvuUGpqqqTKaQSDBg3yWmEAAADA6Qw3r+PHj9cXX3yhNWvWSJJuuOEGDR061GuFAQAANBasNmCc4eZVkoYPH67hw4d7qxYAAADgnM7bvN54441677331LNnzypfDet2u2UymTxJLAAAAC4Myatx521e33vvPUnS2rVrvV4MAAAAcC6G13l9/PHHDW0DAADAL8M6r8YZnvO6a9euKs8dDoc2b95c6wUBAAA0Nq6G01t63Xmb16lTp2rKlCkqKytTr169JFX+dWCz2TR27FivFwgAAAD85LzN69133627775bL7/8sh599NG6qAkAAKBRaUgf63ub4WkDjz76qPLz87V//36VlZV5tvfu3dsrhQEAAACnM9y8fvDBB5o+fbpycnLUsWNHrV+/Xj169ND06dO9WR8AAECDR/JqnOHVBqZPn64PP/xQCQkJmjFjhjIyMhQREeHN2gAAAIAqDCevNptNgYGBkqTy8nIlJSVp7969XisMAACgseBLCowz3LzGx8f/f3t3Hh5FlfZ9/NfZIAQSlkBYkmFfZRcEFFAQkBC2yKoMgg7ig0MYUVneGVlVVAQRgjry8DgI6qiogLKIgIIossm+yhIgYQlbgJCQdNJ93j8YeggJUCxNp5Pv57r6urqqTlXd1V3VufvOqdO6cOGC2rRpo6efflrBwcEqW7asO2MDAAAAsrCcvL733nuSpJiYGDVp0kTJyclq0aKF2wIDAADILyi8Wmepz6vD4VD79u1d0w888IAeffRRBQQEuC0wAAAA4FqWkldfX19VrFhRx44dc3c8AAAA+Q4/D2ud5W4DFy5cUFRUlOrWravAwEDX/H/+859uCQwAAAC4luXk9W9/+5s74wAAAMi3GG3AOsvJ6wMPPODOOAAAAICbspy8btmyRa+++qoOHjyojIwMORwOBQYGatOmTe6MDwAAIM/LS31S3c3yL2yNHz9e77zzjsqXL6+tW7fqtddeU58+fdwZGwAAAJCF5eRVksqXLy+HwyFfX19169ZNq1evdldcAAAA+YbTGLc/8grL3QZ3ydIAACAASURBVAYCAwNlt9tVs2ZNTZw4UaVKlZLT6XRnbAAAAEAWliuvEydOlDFGo0ePVqFChXT8+HHFxsa6MzYAAIB8gcqrdZYrr+XKlZPdbldCQoLatm2rihUr8gtbAAAAuKcsJ68rV67UmDFj9Kc//UnGGCUkJGjcuHF6+OGH3RkfAABAnsdoA9ZZTl7ffPNNzZ49W+XLl5ckHTlyRAMHDiR5BQAAuEPkrtZZ7vMaFBTkSlwlKSIiQkFBQW4JCgAAAMiJ5cpr7dq19eyzzyoyMlI2m03ff/+96tSpox9++EGS1K5dO7cFCQAAkJflpRuq3M1y8mq32xUaGqoNGzZIkooXL6709HT99NNPkm4veV24ccctr4P8o1JYqKdDQC71Rp+nVbZ4iKfDQC7WL/ZdT4eA3KxXpKcjwB2wnLy+8cYb7owDACwjccWNkLjCG3HDlnWW+7zGxcWpX79+6tixoyRpz549ev/9990WGAAAAHAty8nrqFGj9NJLL8nP73KxtkaNGlq8eLHbAgMAAMgvjDFuf+QVlpPXS5cuqW7dulnm+fr63vWAAAAAgOux3Oe1WLFiOnLkiGw2myTp+++/V8mSJd0WGAAAQH7BaAPWWU5ex4wZo1GjRungwYNq0aKFwsPDNWnSJHfGBgAAAGRhKXl1Op3avn27Zs2apdTUVDmdThUuXNjdsQEAAOQLubnu+vPPP+v111+X0+lUjx49NHDgwCzL7Xa7hg8frp07d6po0aKaMmWKwsPDJUkffvihvvrqK/n4+OiVV15RixYt7jgeS31efXx8NHPmTElSoUKFSFwBAADyAYfDofHjx2vmzJlatGiRFi5cqP3792dpM3fuXAUHB2vZsmXq37+/6z/z+/fv16JFi7Ro0SLNnDlT48aNk8PhuOOYLN+w9eCDD+r//u//dPz4cZ07d871AAAAwJ1xGuP2x+3Ytm2bypcvr4iICAUEBCgqKkorVqzI0ubHH39UdHS0JOmxxx7Tb7/9JmOMVqxYoaioKAUEBCgiIkLly5fXtm3b7vi1stzndfHixbLZbPrss8+yzL/2AAAAAJD7xMbGavr06dnmDx48WDExMTmuk5iYqNKlS7umw8LCsiWgiYmJKlOmjCTJz89PRYoUUVJSkhITE1WvXr0s6yYmJt7xcdxS8vrZZ5/p999/l81mU6NGjdS7d+87DgAAACC/uxfjsMbExFw3SfUmlrsNjBgxQgcOHFDfvn315z//Wfv379eIESPcGRsAAAA8KCwsTCdOnHBNJyYmKiwsLFub48ePS5IyMzOVnJysYsWKWVr3dlhOXvft26fXX39dTZs2VdOmTfXaa69p3759dxwAAABAfud0Grc/bkedOnV06NAhxcfHy263a9GiRWrdunWWNq1bt9a8efMkSUuXLlXTpk1ls9nUunVrLVq0SHa7XfHx8Tp06FC2H7y6HZa7DdSqVUtbtmxR/fr1JUlbt25V7dq17zgAAAAA5E5+fn4aPXq0BgwYIIfDoW7duqlq1aqaOnWqateurUcffVTdu3fXsGHD1LZtW4WEhGjKlCmSpKpVqyoyMlIdOnSQr6+vRo8efVd+ndVmLHayiIyMVFxcnMqWLStJOnbsmCpWrCg/v8v573fffXfLO39kbPZOw8AVlcJCPR0CcqmyxUM8HQJysX6x73o6BORyVX9Z6ukQspkwb7nb9/H36DZu38e9YLnyemWcVwAAAMBTLCev5cqVc2ccAAAA+dbtjsOaH1lOXgEAAOAepK7WWR5tAAAAAPA0Kq8AAAAedi9+pCCvoPIKAAAAr0HlFQAAwMO4Ycs6Kq8AAADwGlReAQAAPIw+r9ZReQUAAIDXoPIKAADgYfR5tY7KKwAAALwGlVcAAAAPo/BqHZVXAAAAeA0qrwAAAB7GaAPWUXkFAACA16DyCgAA4GGMNmAdlVcAAAB4DSqvAAAAHkbl1ToqrwAAAPAaVF4BAAA8jNEGrKPyCgAAAK9B5RUAAMDDqLxaR+UVAAAAXoPKKwAAgIc5KbxaRvIKAADgYXQbsI5uAwAAAPAaVF4BAAA8jMqrdVReAQAA4DWovAIAAHgYPw9rHZVXAAAAeA0qrwAAAB5Gn1frqLwCAADAa1B5BQAA8DB+pMA6Kq8AAADwGlReAQAAPMxpnJ4OwWtQeQUAAIDXoPIKAADgYQw2YB2VVwAAAHgNKq8AAAAexjiv1lF5BQAAgNeg8goAAOBhTiqvllF5BQAAgNeg8goAAOBh9Hm1jsorAAAAvAaVVwAAAA+j8modySsAAICHOcldLaPbAAAAALwGldd7oHvTenqyeUMV8PfXql37NWXhSmU4nNna1QoP0zOtmqha2VJyOo22HDqqaUt+1tmLqa42VcuU1OD2zVWtTEldsmfq09Ub9fW6bffycHCXta1bTR0a1FSAn582HojXnJ83KtOZ/fzw9fHRc22aqULJ4goNDtJbC37U3mMnc2w3rudjKujvr5fnfHsvDgF30YPVKqhFjUry9/PVzvgT+vb3nXLkcD5IUqVSJdTp/loKKRSohDPn9M36bTqXmpalTWCAv16IbKnTyRf1vz+uc8339/VR+/o1VDuijHxtNp04l6yZP627dhfwYiGPd1Zwh7YKqFRBF5evVOKEyZ4OCTdAtwHrqLy6WePKf9KTze/Xix8vUK8pH6tssRA93apJjm0LFyyg737fqd7vfqxe736sVLtdI7s+6loeUqigJv65k77buFOd35qpPtPmaMOB+Ht1KHCD+yJKq0ODWnr72580bM63KhlcWF0b175u+30nTul/V/ymcymXrtsmsn4NJV9Kd0e4cLMqpUPVsmYl/Wvlek367icVLxyoR2tXybFtoQB/PflQAy3fvk8T5i3X0aTz6vVgg2ztHqtbXacuXMw2v0uj2goM8NfUJav1+vzlWrxl910/HnhW5ukzOvvxZ7qw6AdPhwLcVSSvbvZY/RpavHmXDp06q4tp6Zq9aoPa16+RY9v1+49o1a4DSk3PUHpGpuat367aEWVcy3s0q68N+49o+fY/lOFw6pI9Q0dOJ92rQ4EbPFS9olbvOahjSReUas/Qd7/v1EM1KubY1uF0atm2P7TvxOnrDmYdWiRITauV1+LNJCLeqEGFcvr9YIJOXriotIxM/bTzgBpUCM+xba3w0jp54aJ2JpxQptOpH3fsV+mQIgotEuRqE1GiqEqFFNamQwlZ1g0tEqQa5cK0YMNOpabbZYx0LOmCW48N917Kz78qZfVvcl7gvfUGThm3P/KKmyavTqdTmzZtuhex5EkVShbXgROnXdMHEk+reOEgBQcWvOm69cqX1aFTZ13TtcJL68KldE3/SzfNG/aMJjwRpVIhhd0SN+6NcsWCFX/VF5D4M0kKKRSooAIBt7W9Ps0b6pt122TPdNytEHEPlQoprOPn/ptonDh3QUUCCygwwP86bZNd0xkOh86mpLo+E2w2qdP9tbRw0y5d+10nvESIzqVcUuvaVfT/uj6qwY81V63wMPccFADcZTdNXn18fDR+/Ph7EUueFBjgr5R0u2v6Ytrl54UKZP9jdLVKYSX01MON9cEPv7rmlQwurPb1ayh2yWr1mvKxjp+7oFHdHnNP4LgnCvj765I9wzV95XnBHJKVm2lYsZx8fGzaFHf0rsWHe6uAn5/SMzJd02n/eV7AL/vtCQX8fJWekZFlXlpGpqtts6oVFH/mfI4V1ZDAgipdtIjSMzI18dsftXDTLnV7oK5KXlW1BXBvGWPc/sgrLN2w1axZMy1dulTt2rWTzWa75Z3ExsZq+vTp2eaXeSLmlreV27WpU00vdXpEkrTt8HFdsmeo0FVVtCsVtdT0jJxWlySVKx6it/p0UuyS1dp+5LhrfnpGplbvPui6SefjlRv07YgBCioQkCVBRu7VtGp5PfVwI0nSvuOnlJ6RkaWqVtD/8vM0+/XPj5wE+PmqR9P6mrJ41d0LFm5Xr3xZdb7/PknS4dNJSs/MVAH//34sX3menpmZbd30TEeWttJ/kt/MTBUpWEDNqpbX+8vW5LjfDIdTmQ6nVu46IKcxOnTqrOJOnlWV0qE6lZxytw4PANzCUvL6+eef61//+pf8/PwUEBAgY4xsNpvl7gQxMTGKicmeqD4yNntC6+2Wb/9Dy7f/4Zp+pVs7VQ4L1cqd+yVJlUuX0NmLKbpwKS3H9cNCimjyU1005+cNWrZtb5ZlBxNPy1zVZ8Xkof4r+cXafYe1dt9h1/TANs0UUaKo68a7iNCiOp966Za/jISFFFGJIkH6f/+5wc/Xx0eFAvw1pV8XvfbNcp0hIcmVth4+pq2Hj7mmezStp9JFi2hH/AlJUpmiRZR8KT1Ldf6Kk+cvqkHFcq5pf19fFS9cSCfPX1R4iRAVDiygIe1b/GeZj/x8fTWic2tN/O5Hnbiqu8EVfJ4AnuVkoFfLLCWvmzdvdnccedYPW/doZNdHtXz7Xp1JTlHflo31/ZY9ObYNLRKkd/p11bz12/Xtxp3Zli/Zslvje0bqm3XbFHfyrJ5q2VjbDh+j6urF1uyN019aN9HafYeVlHJJne6/T7/uibtuez8fH8n23+d+vj7KdDh19Oz5LMNiVSkdqj+3uF9j5y5VchojD3iLLYeO6vEH6mrr4eNKvpSmR2pV0eZrbra6YtfRRLWvV121wsP0x7FTanVfFSWeT9bp5BQlpVzS5IUrXW3rRJRR3fJl9ekvv8sY6dCpszqfekkta1bSz7sPKrxEiCqVKqGlW/fmuC94KV8f2Xx9JR8fycdHtgB/GYdDymGoRsCbWB7n9fz58zp8+LDS0//7h7Bx48ZuCSovWb//iP7962ZN6RetAv5++nnXAf3rqrEU//X8E/p09e9avv0PRTWspXLFQ9T/kcbq/8h/X9vICTMkSZvjjup/V6zVG092VEF/P20/clyvfs0QKN5sR/wJLdm8R8M6t1aAn69+Pxiv+Rt2uJa/2itSizbtclVrJzwRpdDgy/0Sr3RPGfbJdzqTnLWan5Jul9OY61b4kTvtO3Faq/cc1F9aPSA/X1/tSjihFTv2u5bHtG+un3cf1NbDx5Sabte/12xWx4a11KNJPSWcPacv1myRdHlkiiv966XLfWGdV81zGqNPf9mkro1rq2XNSjqXkqav1m3TaSr0eUrxfk+qxDN9XdPB7dvozEdzdPajTzwYFa4nL/VJdTebsfBqzZ07V7Nnz9aJEydUo0YNbd26VfXr19fs2bPvaOd5sdsA7p5KYaGeDgG5VNniIZ4OAblYv9h3PR0Ccrmqvyz1dAjZ9Jk2x+37+HRI35s38gKWxnmdPXu2vvrqK5UtW1Zz5szRvHnzFBwc7O7YAAAA8gWncf8jr7CUvAYEBKhAgQKSJLvdrsqVKysu7vr98gAAAAB3sNTntXTp0rpw4YLatGmjp59+WsHBwSpbtqy7YwMAAMgX6PNqnaXk9b333pN0ecirJk2aKDk5WS1atHBrYAAAAMC1LI82sHHjRh0+fFjdunXT2bNnlZiYqIiICHfGBgAAkC8w1rJ1lvq8Tp8+XTNnztSMGZeHbMrIyNCwYcPcGhgAAABwLUvJ67Jly/TBBx8oMDBQkhQWFqaUFMYDBAAAuBucxrj9kVdYSl79/f1ls9lks13+aZ/U1FS3BgUAAADkxFKf18jISI0ePVoXLlzQl19+qa+//lo9e/Z0d2wAAAD5AqMNWGcpefX391ezZs0UFBSkuLg4DRkyRA899JC7YwMAAMgX8tKPCLibpW4DZ86c0TvvvKNjx46pWbNmevDBB90dFwAAAJCNpeR16NCh+uGHH9S9e3fNmzdP7dq10zvvvKMjR464Oz4AAIA8zxjj9kdeYSl5lSSbzaaSJUsqNDRUvr6+On/+vIYMGaKJEye6Mz4AAADAxVKf148//lgLFixQsWLF1L17dw0fPlz+/v5yOp1q166dhg8f7u44AQAA8qy8VBl1N0vJ6/nz5xUbG6ty5cplme/j46MPP/zQLYEBAAAA17KUvA4ZMuS6yypXrnzXggEAAMiP8tKPCLib5T6vAAAAgKdZqrwCAADAfai8WkflFQAAAF6DyisAAICHMdqAdVReAQAA4DWovAIAAHgYhVfrqLwCAADAa1B5BQAA8DBGG7COyisAAAC8BpVXAAAAD2O0AeuovAIAAMBrUHkFAADwMPq8WkflFQAAAF6DyisAAICH0efVOpJXAAAAD/PW3PXcuXMaOnSojh49qnLlyundd99VSEhIlja7d+/W2LFjdfHiRfn4+GjQoEHq0KGDJGnkyJFav369ihQpIkl68803VbNmzRvuk+QVAAAAt2XGjBlq1qyZBg4cqBkzZmjGjBkaNmxYljYFCxbUW2+9pQoVKigxMVHdunVT8+bNFRwcLEkaPny42rdvb3mf9HkFAADwMKcxbn+4w4oVK9S1a1dJUteuXbV8+fJsbSpWrKgKFSpIksLCwlS8eHGdPXv2tvdJ8goAAIDbcubMGZUqVUqSVLJkSZ05c+aG7bdt26aMjAz96U9/cs2bMmWKOnXqpAkTJshut990n3QbAAAA8LB7ccNWbGyspk+fnm3+4MGDFRMTc931+vfvr9OnT2eb/8ILL2SZttlsstls193OyZMnNWzYML311lvy8blcP33xxRdVsmRJZWRkaNSoUZoxY4YGDx58w+MgeQUAAMgHYmJibpikXs+sWbOuu6xEiRI6efKkSpUqpZMnT6p48eI5trt48aKee+45DR06VPXr13fNv1K1DQgI0OOPP66PPvropvGQvAIAAHjYyrE3rjbmVq1bt9b8+fM1cOBAzZ8/X48++mi2Nna7XX/961/VpUuXbDdmXUl8jTFavny5qlatetN90ucVAAAAt2XgwIH69ddf1a5dO61Zs0YDBw6UJG3fvl3/+Mc/JElLlizRxo0bNW/ePHXp0kVdunTR7t27JUkvv/yyOnXqpE6dOikpKUmDBg266T5txoOj4j4yNnu/C+CKSmGhng4BuVTZ4iE3b4R8q1/su54OAblc1V+WejoE3AEqrwAAAPAaJK8AAADwGiSvAAAA8BokrwAAAPAaJK8AAADwGiSvAAAA8BokrwAAAPAaJK8AAADwGiSvAAAA8BokrwAAAPAaJK8AAADwGiSvAAAA8BokrwAAAPAaJK8AAADwGiSvAAAA8BokrwAAAPAaJK8AAADwGiSvAAAA8BokrwAAAPAaJK8AAADwGiSvAAAA8BokrwAAAPAaJK8AAADwGiSvAAAA8Bo2Y4zxdBC4LDY2VjExMZ4OA7kU5wduhPMDN8L5gbyE5DUXqV69uvbu3evpMJBLcX7gRjg/cCOcH8hL6DYAAAAAr0HyCgAAAK9B8goAAACvQfIKAAAAr+E7duzYsZ4OAv/VpEkTT4eAXIzzAzfC+YEb4fxAXsFoAwAAAPAadBsAAACA1yB5BQAAgNcgeQUAAIDXIHkFAACA1yB5BQAAgNcgeQUAAIDXIHkFcrmEhAR99913ng4DAIBcgeQ1j/rnP/+ZZbp3794eigR36ujRo1q4cKGnw0Au5O7rfNasWbp06ZJr+tlnn9WFCxfu6j6QuzgcDk+HANwUP1JwFzkcDvn6+t6TfWVmZsrPz++6yxs0aKDNmzffk1hw6yZNmqQyZcqoT58+kqTY2FgFBgbqzJkzWr16tWw2mwYNGqQOHTqoZ8+eOnDggMLDwxUdHa2+fftq0qRJWr9+vex2u/r06aPevXvr5MmTGjp0qC5evCiHw6GxY8eqUaNGHj7S/MFd176nr/PWrVvrq6++UvHixd22D9y+qVOnKiQkRP3795ckTZkyRcWLF1dGRoaWLFkiu92utm3basiQIZKk559/XidOnFB6erqeeuop9erVS9Ll86hXr15as2aNRo8ezecGcr3rfyrmA9deyE6nU0eOHNGIESMkSd9884127Nih0aNHa8GCBZozZ44yMjJUr149jRkzRr6+vtku+rVr1+qnn35Senq6GjRooPHjx8tms2nbtm36xz/+IR8fHz344INavXq1Fi5cKIfDkWMikpN169Zp6tSpCg4OVlxcnJYuXZrjh9GkSZOUlpamLl26qEqVKpo8ebLrj9y6des0ffp0FStWTH/88Yfuu+8+TZo0STabTatWrdIbb7yhQoUKqWHDhoqPj9eHH354L9+SfKNDhw6aMGGCK3ldsmSJnn32Wf36669asGCBkpKS1L17dzVq1EgvvfSSPvroI9d78cUXX6hIkSL6+uuvZbfb1bt3bz300ENatmyZmjdvrkGDBsnhcGSpmOH2JSQkaMCAAbrvvvu0a9cuVa1aVW+99ZaioqIUGRmpNWvWaMCAAapTp47GjRunpKQkFSxYUK+++qoqV66skSNHKiAgQDt27FBKSopGjhypVq1aKSEhQcOHD3e9T6NGjVLDhg3vynVujNHEiROzfRG60fV/rdmzZ+vkyZPq16+fihYtqjlz5riS2dTUVA0YMED169fX5s2bVbt2bXXr1k3Tpk3T2bNnNWnSJNWtW1epqal69dVXtW/fPmVmZmrw4MFq06bNvX4L86xu3bopJiZG/fv3l9Pp1KJFi/Tiiy/qt99+01dffSVjjAYNGqQNGzaocePGmjBhgooWLaq0tDR1795d7dq1U7FixZSamqq6detq5MiRnj4kwBqTjyUlJRljjLl06ZKJiooyp06dMm3atHEt/8tf/mI2bNhg9u/fb5577jljt9uNMcaMGTPGzJs3zxhjTLVq1cyiRYuybdMYY15++WWzYsUKY4wxUVFRZtOmTcYYY95++20TFRVljDHm888/N++9954xxpj09HQTHR1tjhw5kmO8a9euNfXq1cuy/NpjOHv2rDHGmPr162dZ98r02rVrTcOGDc3x48eNw+EwPXv2NBs2bDBpaWmmZcuWrm0PHTrUDBw40OIridvRvn17c+LECbN7927Tq1cv8/rrr5u5c+e6lr/88stm+fLlZu3atVnei5iYGNOuXTvTuXNn07lzZ9OqVSuzevVqs379etOmTRszbdo0s2vXLk8cUp4UHx9vqlWrZjZu3GiMMWbkyJFm5syZplWrVmbGjBmudk899ZSJi4szxhizZcsW07dvX2OMMSNGjDDPPPOMcTgcJi4uzrRo0cKkpaWZ1NRUk5aWZowxJi4uzkRHRxtj7s51/v3335v+/fubzMxMc+rUKfPwww+bxMTE617/19OqVStz5syZbNPx8fGmZs2aZs+ePcbhcJjo6GgzcuRI43Q6zbJly8ygQYOMMcZMnjzZzJ8/3xhjzPnz5027du1MSkrKrbz8uIn+/fubnTt3mlWrVpmYmBjz5ptvmlatWrk+H9q0aWO+/PJLY4wx06ZNM506dTKdOnUyDRs2NJs3bzbGGFOzZk2TmZnpycMAbkm+rrzOmTNHy5YtkyQdP35cCQkJioiI0JYtW1S+fHkdPHhQ999/vz799FPt2LFD3bt3lySlpaWpRIkSkiRfX1899thjrm2uW7dOM2fOVFpams6dO6eqVauqUaNGSklJUYMGDSRJHTt21MqVKyVJv/76q/bu3aulS5dKkpKTk3X48GFFRETkGHOdOnWyLLv2GA4fPqxixYrd8Ljr1q2r0qVLS5Jq1Kiho0ePKigoSBEREa5tR0VF6csvv7T+YuKWtW/fXkuXLtXp06fVoUMHJSQkWFrPGKNXXnlFLVq0yLbsk08+0apVqzRy5Eg9/fTT6tq1690OO18qU6aM7r//fklS586dNWfOHEmXK+iSlJKSos2bN+tvf/ubax273e56HhkZKR8fH1WoUEERERE6ePCgwsPDNX78eO3Zs0c+Pj46dOiQq/2dXue///67oqKi5Ovrq9DQUDVu3Fjbt29X4cKFc7z+b+ffxOHh4apevbokqUqVKmrWrJlsNpuqV6+uo0ePSpJ++eUX/fjjj/roo48kSenp6Tp+/LgqV658y/tDznr06KFvvvlGp0+fVrdu3fTbb79p4MCB2f6Dt27dOq1Zs0ZffPGFAgMD1bdvX6Wnp0uSChQocM+6vAF3Q75NXq93IXfo0EFLlixRpUqV1LZtW9lsNhljFB0drZdeeinbdq6+6NPT0zVu3Dh9/fXXKlOmjGJjY10fDtdzo0QkJ4UKFbrpMdxMQECA67mvry8d9D2kQ4cOGjVqlJKSkjRnzhxt2bJFX3zxhaKjo3X+/Hlt3LhRw4cPV2JiolJSUlzrNW/eXP/+97/VtGlT+fv7Ky4uTmFhYUpKSlLp0qXVs2dP2e127dy5k+T1Lrn23+pXpgMDAyVdvo6Dg4O1YMECy+vPmjVLoaGhWrBggZxOp+rWretafjeu8+u5W9f/1dvx8fFxTdtstizbnDZtmipVqnSb0eJm2rRpo6lTpyozM1OTJ0+Wr6+vpk6dqk6dOikoKEiJiYny8/NTcnKyQkJCFBgYqAMHDmjLli2eDh24bfl2tIHrXcht27bVihUrtHDhQkVFRUmSmjVrpqVLl+rMmTOSpHPnzrkqC1e78gelWLFiSklJcVVTg4ODFRQUpK1bt0qSFi9e7FrnSiKSkZEhSYqLi1NqauodHYMk+fn5ubZpRcWKFRUfH++q/l0dI9yjatWqSklJUalSpVSqVCm1bdtW1apVU5cuXdSvXz8NGzZMJUuWVPXq1eXj46POnTtr1qxZ6tGjh6pUqaLHH39cHTt21OjRo+VwOLR+/Xp16dJFXbt21eLFi/XUU095+hDzjGPHjrlujFq4cKGrCntF4cKFFR4eriVLlki6nMzu2bPHtfz777939amPj49XxYoVlZycrJIlS8rHx0cLFiy4bhJ5O9d5o0aNtGTJEjkcDp09e1YbN27MkhxbFRQUlOWL061q3ry5PvnkE5n/3Be8a9eu294WchYQEKAmTZooMjJSvr6+at68uTp27KjevXurU6dOGjJkiFJSUtSyZUtlZmYqMjJSkydPVv36JXqsCwAAAnxJREFU9T0dOnDb8m3ltWXLlvr8888VGRmpihUrui7kkJAQVa5cWfv373d92FepUkUvvPCCnnnmGTmdTvn7+2v06NEqV65clm0GBwerR48e6tixo0JDQ1WnTh3Xstdff12vvPKKfHx81LhxYxUuXFjS5X/5HD16VI8//riMMSpWrJjef//9OzoGSerZs6c6d+6sWrVqafLkyTfdVsGCBTVmzBgNGDBAhQoVUu3atS3FgDtz9fitNptNI0aMcN0weIW/v79mz56dZd6LL76oF198Mcu86OhoRUdHuy/YfKxixYr69NNP9fe//11VqlTRE088oU8++SRLm7fffltjx47VBx98oMzMTHXo0EE1atSQdLnbQffu3ZWSkqJx48apQIECevLJJxUTE6P58+erRYsWWaqtV7ud67xt27bavHmzunTpIpvN5voidPDgwVs67p49e2rAgAEqVaqUq6vErXj++ec1YcIEde7cWU6nU+Hh4dwEepc5nU5t3bpVU6dOdc3r16+f+vXrl63tzJkzc9wGI9PA2zBU1j2SkpKioKAgSdKMGTN08uRJvfLKKx6OKqsrMRpjNG7cOFWoUME1BAuQXyUkJOh//ud/bnus3ZEjR+qRRx5R+/bt73JkyO/279+v5557Tm3btmWkAOQr+bbyeq+tWrVKH374oRwOh8qWLas333zT0yFlM3fuXM2bN08ZGRmqWbOmawxAAEDuU6VKFa1YscLTYQD3HJXXXGjv3r0aPnx4lnkBAQGaO3euhyICkJf99a9/zTbaxcsvv2z5RlIAuJdIXgEAAOA18u1oAwAAAPA+JK8AAADwGiSvAAAA8BokrwAAAPAa/x/Kmg0ksgUe+wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb153410908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_correlation_map(rezepte)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb15267ecf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns; sns.set(style='ticks', color_codes=True)\n",
    "g = sns.pairplot(rezepte.drop(['new_rating', 'recipe_id'], 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb154039470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = sns.pairplot(rezepte[['average_rating', 'votes']], size=6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fb16c7f0080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = sns.pairplot(rezepte[['preparation_time', 'votes']], size=6)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}