Pandas_Live.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Pandas_Live.ipynb","version":"0.3.2","provenance":[],"collapsed_sections":["com_18z5xQ96","09wZd4kG893X","3BCOzL8gZpHo","Ps73UYYzEGtk","A2_q3KE0lZtH","-6E22e44lOXf"]},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"m8kVbGaJkNQu","colab_type":"code","colab":{}},"source":["import pandas as pd"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"ij32ar4vZCW3","colab_type":"code","outputId":"0255e3b9-4360-4d09-9d56-e0108a24b249","executionInfo":{"status":"ok","timestamp":1563407267274,"user_tz":180,"elapsed":617,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["pd.__version__"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["'0.24.2'"]},"metadata":{"tags":[]},"execution_count":2}]},{"cell_type":"markdown","metadata":{"id":"com_18z5xQ96","colab_type":"text"},"source":["### **A estrutura de um DataFrame**"]},{"cell_type":"code","metadata":{"id":"inQlNf53kIDR","colab_type":"code","colab":{}},"source":[" df = pd.read_csv(\"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\")"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Y_V0JCLLxM_0","colab_type":"code","outputId":"71d3eab5-d234-4825-de27-49deea4e138a","executionInfo":{"status":"ok","timestamp":1563407291952,"user_tz":180,"elapsed":595,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":499}},"source":["df.head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Survived  Pclass  ...     Fare Cabin  Embarked\n","0            1         0       3  ...   7.2500   NaN         S\n","1            2         1       1  ...  71.2833   C85         C\n","2            3         1       3  ...   7.9250   NaN         S\n","3            4         1       1  ...  53.1000  C123         S\n","4            5         0       3  ...   8.0500   NaN         S\n","\n","[5 rows x 12 columns]"]},"metadata":{"tags":[]},"execution_count":4}]},{"cell_type":"code","metadata":{"id":"_vb5RTeTxNDI","colab_type":"code","outputId":"d352bc07-942e-4ee8-8111-fae9ab342fe6","executionInfo":{"status":"ok","timestamp":1563407384768,"user_tz":180,"elapsed":600,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":312}},"source":["df.info()"],"execution_count":0,"outputs":[{"output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 891 entries, 0 to 890\n","Data columns (total 12 columns):\n","PassengerId    891 non-null int64\n","Survived       891 non-null int64\n","Pclass         891 non-null int64\n","Name           891 non-null object\n","Sex            891 non-null object\n","Age            714 non-null float64\n","SibSp          891 non-null int64\n","Parch          891 non-null int64\n","Ticket         891 non-null object\n","Fare           891 non-null float64\n","Cabin          204 non-null object\n","Embarked       889 non-null object\n","dtypes: float64(2), int64(5), object(5)\n","memory usage: 83.6+ KB\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"HfyG4lXfxtp4","colab_type":"text"},"source":["**Indice**"]},{"cell_type":"code","metadata":{"id":"iwXWLN2RxNJn","colab_type":"code","outputId":"74ae97a0-bf9a-4043-c9d7-494f53a0031a","executionInfo":{"status":"ok","timestamp":1563407481802,"user_tz":180,"elapsed":603,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["df.index"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["RangeIndex(start=0, stop=891, step=1)"]},"metadata":{"tags":[]},"execution_count":6}]},{"cell_type":"markdown","metadata":{"id":"_m0iAm2Tu0vj","colab_type":"text"},"source":["*Alterando o índice do DataFrame*"]},{"cell_type":"code","metadata":{"id":"6lIiaPIYxNMf","colab_type":"code","colab":{}},"source":[" # df = pd.read_csv(\"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\", index_col=0)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"6q7TPhpMu57P","colab_type":"code","colab":{}},"source":["df.set_index('PassengerId', inplace=True)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"u_soEyBXvMvc","colab_type":"code","outputId":"02127e49-56bc-4c32-85f6-82adb488a914","executionInfo":{"status":"ok","timestamp":1563407598726,"user_tz":180,"elapsed":611,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":530}},"source":["df.head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Survived  Pclass  ... Cabin Embarked\n","PassengerId                    ...               \n","1                   0       3  ...   NaN        S\n","2                   1       1  ...   C85        C\n","3                   1       3  ...   NaN        S\n","4                   1       1  ...  C123        S\n","5                   0       3  ...   NaN        S\n","\n","[5 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":8}]},{"cell_type":"markdown","metadata":{"id":"pTRTUXTnyaVE","colab_type":"text"},"source":["*Colunas*"]},{"cell_type":"code","metadata":{"id":"6P9LTfe-xNPp","colab_type":"code","outputId":"123d400e-9d77-4e2f-9406-79dc3086f4e7","executionInfo":{"status":"ok","timestamp":1563407726718,"user_tz":180,"elapsed":600,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":69}},"source":["df.columns"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp', 'Parch', 'Ticket',\n","       'Fare', 'Cabin', 'Embarked'],\n","      dtype='object')"]},"metadata":{"tags":[]},"execution_count":9}]},{"cell_type":"markdown","metadata":{"id":"2nUph1RNydYW","colab_type":"text"},"source":["*Valores*"]},{"cell_type":"code","metadata":{"id":"hbWIWGnYyVcw","colab_type":"code","outputId":"6bfa3f4f-2ec2-4b33-90de-b498275dd446","executionInfo":{"status":"ok","timestamp":1563407752431,"user_tz":180,"elapsed":601,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":173}},"source":["df.values"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["array([[0, 3, 'Braund, Mr. Owen Harris', ..., 7.25, nan, 'S'],\n","       [1, 1, 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)', ...,\n","        71.2833, 'C85', 'C'],\n","       [1, 3, 'Heikkinen, Miss. Laina', ..., 7.925, nan, 'S'],\n","       ...,\n","       [0, 3, 'Johnston, Miss. Catherine Helen \"Carrie\"', ..., 23.45,\n","        nan, 'S'],\n","       [1, 1, 'Behr, Mr. Karl Howell', ..., 30.0, 'C148', 'C'],\n","       [0, 3, 'Dooley, Mr. Patrick', ..., 7.75, nan, 'Q']], dtype=object)"]},"metadata":{"tags":[]},"execution_count":10}]},{"cell_type":"markdown","metadata":{"id":"E_7o5_71y00q","colab_type":"text"},"source":["*Internamente o Pandas trata dados como Arrays Numpy!*\n"]},{"cell_type":"code","metadata":{"id":"MNL7iqyJyVfw","colab_type":"code","outputId":"72737771-f81d-4495-979f-0ce903513101","executionInfo":{"status":"ok","timestamp":1563407869152,"user_tz":180,"elapsed":1257,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["type(df)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["pandas.core.series.Series"]},"metadata":{"tags":[]},"execution_count":13}]},{"cell_type":"markdown","metadata":{"id":"blfszsJUvwGi","colab_type":"text"},"source":["**DataFrames e Séries**\n","\n","\n","*   Métodos diferentes\n","*   N dimesões\n","\n"]},{"cell_type":"markdown","metadata":{"id":"SwuaPRaB1REw","colab_type":"text"},"source":["*Consultando dados*"]},{"cell_type":"markdown","metadata":{"id":"JkVLYtWE1po8","colab_type":"text"},"source":["*Seleciona linhas pelo índice de valor \"1\"*"]},{"cell_type":"code","metadata":{"id":"SxkF5DUIYLfW","colab_type":"code","outputId":"0a2588de-67e1-4de3-d7fe-f7c659103169","executionInfo":{"status":"ok","timestamp":1563407993765,"user_tz":180,"elapsed":1044,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":530}},"source":["df.head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Survived  Pclass  ... Cabin Embarked\n","PassengerId                    ...               \n","1                   0       3  ...   NaN        S\n","2                   1       1  ...   C85        C\n","3                   1       3  ...   NaN        S\n","4                   1       1  ...  C123        S\n","5                   0       3  ...   NaN        S\n","\n","[5 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":14}]},{"cell_type":"code","metadata":{"id":"o1b4Rq5QyViY","colab_type":"code","outputId":"b12d87c2-f442-4cb4-a340-6528d42f0aba","executionInfo":{"status":"ok","timestamp":1563408005487,"user_tz":180,"elapsed":1981,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":225}},"source":["df.loc[1]"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Survived                          0\n","Pclass                            3\n","Name        Braund, Mr. Owen Harris\n","Sex                            male\n","Age                              22\n","SibSp                             1\n","Parch                             0\n","Ticket                    A/5 21171\n","Fare                           7.25\n","Cabin                           NaN\n","Embarked                          S\n","Name: 1, dtype: object"]},"metadata":{"tags":[]},"execution_count":15}]},{"cell_type":"code","metadata":{"id":"3jYsvhWszS8k","colab_type":"code","outputId":"d0d6a963-d250-475b-82a9-609e46af2c15","executionInfo":{"status":"ok","timestamp":1563408027960,"user_tz":180,"elapsed":1251,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["type(df.loc[1])"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["pandas.core.series.Series"]},"metadata":{"tags":[]},"execution_count":16}]},{"cell_type":"markdown","metadata":{"id":"3jCvrxSj2FpC","colab_type":"text"},"source":["Selecionando várias linhas usando o loc"]},{"cell_type":"code","metadata":{"id":"7jPd5qJS14xo","colab_type":"code","outputId":"2038dda2-f6f9-4602-d344-ee8a8b51988b","executionInfo":{"status":"ok","timestamp":1563408057897,"user_tz":180,"elapsed":609,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":347}},"source":["df.loc[[1,2,3]]"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Survived  Pclass  ... Cabin Embarked\n","PassengerId                    ...               \n","1                   0       3  ...   NaN        S\n","2                   1       1  ...   C85        C\n","3                   1       3  ...   NaN        S\n","\n","[3 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":17}]},{"cell_type":"markdown","metadata":{"id":"dtJCtqHy3phv","colab_type":"text"},"source":["*Consultando dados usando Slice*"]},{"cell_type":"code","metadata":{"id":"4MukLk-D140w","colab_type":"code","outputId":"2f945702-5a3e-40ef-e91b-30e631450da1","executionInfo":{"status":"ok","timestamp":1563408123095,"user_tz":180,"elapsed":621,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":887}},"source":["df.loc[10:20]"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>10</th>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n","      <td>female</td>\n","      <td>14.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>237736</td>\n","      <td>30.0708</td>\n","      <td>NaN</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Sandstrom, Miss. Marguerite Rut</td>\n","      <td>female</td>\n","      <td>4.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>PP 9549</td>\n","      <td>16.7000</td>\n","      <td>G6</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Bonnell, Miss. Elizabeth</td>\n","      <td>female</td>\n","      <td>58.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>113783</td>\n","      <td>26.5500</td>\n","      <td>C103</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Saundercock, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>20.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>A/5. 2151</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Andersson, Mr. Anders Johan</td>\n","      <td>male</td>\n","      <td>39.0</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>347082</td>\n","      <td>31.2750</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n","      <td>female</td>\n","      <td>14.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>350406</td>\n","      <td>7.8542</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Hewlett, Mrs. (Mary D Kingcome)</td>\n","      <td>female</td>\n","      <td>55.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>248706</td>\n","      <td>16.0000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Rice, Master. Eugene</td>\n","      <td>male</td>\n","      <td>2.0</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>382652</td>\n","      <td>29.1250</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Williams, Mr. Charles Eugene</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>244373</td>\n","      <td>13.0000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n","      <td>female</td>\n","      <td>31.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>345763</td>\n","      <td>18.0000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Masselmani, Mrs. Fatima</td>\n","      <td>female</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2649</td>\n","      <td>7.2250</td>\n","      <td>NaN</td>\n","      <td>C</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Survived  Pclass  ... Cabin Embarked\n","PassengerId                    ...               \n","10                  1       2  ...   NaN        C\n","11                  1       3  ...    G6        S\n","12                  1       1  ...  C103        S\n","13                  0       3  ...   NaN        S\n","14                  0       3  ...   NaN        S\n","15                  0       3  ...   NaN        S\n","16                  1       2  ...   NaN        S\n","17                  0       3  ...   NaN        Q\n","18                  1       2  ...   NaN        S\n","19                  0       3  ...   NaN        S\n","20                  1       3  ...   NaN        C\n","\n","[11 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":18}]},{"cell_type":"code","metadata":{"id":"YG9DwqSJ143y","colab_type":"code","outputId":"29aa3efc-4a13-4be3-9e78-f5c17f27f4f0","executionInfo":{"status":"ok","timestamp":1563408160264,"user_tz":180,"elapsed":633,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":853}},"source":["df.loc[10:30:2]"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>10</th>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n","      <td>female</td>\n","      <td>14.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>237736</td>\n","      <td>30.0708</td>\n","      <td>NaN</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Bonnell, Miss. Elizabeth</td>\n","      <td>female</td>\n","      <td>58.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>113783</td>\n","      <td>26.5500</td>\n","      <td>C103</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Andersson, Mr. Anders Johan</td>\n","      <td>male</td>\n","      <td>39.0</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>347082</td>\n","      <td>31.2750</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Hewlett, Mrs. (Mary D Kingcome)</td>\n","      <td>female</td>\n","      <td>55.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>248706</td>\n","      <td>16.0000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Williams, Mr. Charles Eugene</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>244373</td>\n","      <td>13.0000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Masselmani, Mrs. Fatima</td>\n","      <td>female</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2649</td>\n","      <td>7.2250</td>\n","      <td>NaN</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Beesley, Mr. Lawrence</td>\n","      <td>male</td>\n","      <td>34.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>248698</td>\n","      <td>13.0000</td>\n","      <td>D56</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Sloper, Mr. William Thompson</td>\n","      <td>male</td>\n","      <td>28.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>113788</td>\n","      <td>35.5000</td>\n","      <td>A6</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Asplund, Mrs. Carl Oscar (Selma Augusta Emilia...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>347077</td>\n","      <td>31.3875</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>Fortune, Mr. Charles Alexander</td>\n","      <td>male</td>\n","      <td>19.0</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>19950</td>\n","      <td>263.0000</td>\n","      <td>C23 C25 C27</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>30</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Todoroff, Mr. Lalio</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>349216</td>\n","      <td>7.8958</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Survived  Pclass  ...        Cabin Embarked\n","PassengerId                    ...                      \n","10                  1       2  ...          NaN        C\n","12                  1       1  ...         C103        S\n","14                  0       3  ...          NaN        S\n","16                  1       2  ...          NaN        S\n","18                  1       2  ...          NaN        S\n","20                  1       3  ...          NaN        C\n","22                  1       2  ...          D56        S\n","24                  1       1  ...           A6        S\n","26                  1       3  ...          NaN        S\n","28                  0       1  ...  C23 C25 C27        S\n","30                  0       3  ...          NaN        S\n","\n","[11 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":19}]},{"cell_type":"code","metadata":{"id":"n_pgYU5x14-U","colab_type":"code","colab":{}},"source":["df.loc[10:]"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"xvlGAZCHgWiM","colab_type":"text"},"source":["*Selecionando linhas e Colunas com o loc*"]},{"cell_type":"markdown","metadata":{"id":"Mc29b7C7gxUR","colab_type":"text"},"source":["df.loc[['linha1, linha2], ['coluna1', 'coluna2', 'coluna3']]"]},{"cell_type":"code","metadata":{"id":"kMBn6nb36AaJ","colab_type":"code","outputId":"b7f58513-75ea-449a-803e-c5c7935a4906","executionInfo":{"status":"ok","timestamp":1563408322962,"user_tz":180,"elapsed":619,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":141}},"source":["df.loc[[1,2], ['Name','Sex','Age']]"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                                          Name     Sex   Age\n","PassengerId                                                                 \n","1                                      Braund, Mr. Owen Harris    male  22.0\n","2            Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0"]},"metadata":{"tags":[]},"execution_count":22}]},{"cell_type":"markdown","metadata":{"id":"L_SjouqX6Gwc","colab_type":"text"},"source":["*Slice com linhas e selecionando colunas*"]},{"cell_type":"code","metadata":{"id":"GFsMPtdM4ojk","colab_type":"code","outputId":"44d646c2-f8e1-4913-8b95-ea09b196a24d","executionInfo":{"status":"ok","timestamp":1563408348839,"user_tz":180,"elapsed":607,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":386}},"source":["df.loc[1:10, ['Name','Sex','Age']]"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Moran, Mr. James</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>McCarthy, Mr. Timothy J</td>\n","      <td>male</td>\n","      <td>54.0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>Palsson, Master. Gosta Leonard</td>\n","      <td>male</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n","      <td>female</td>\n","      <td>27.0</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n","      <td>female</td>\n","      <td>14.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                                                          Name     Sex   Age\n","PassengerId                                                                 \n","1                                      Braund, Mr. Owen Harris    male  22.0\n","2            Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0\n","3                                       Heikkinen, Miss. Laina  female  26.0\n","4                 Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0\n","5                                     Allen, Mr. William Henry    male  35.0\n","6                                             Moran, Mr. James    male   NaN\n","7                                      McCarthy, Mr. Timothy J    male  54.0\n","8                               Palsson, Master. Gosta Leonard    male   2.0\n","9            Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)  female  27.0\n","10                         Nasser, Mrs. Nicholas (Adele Achem)  female  14.0"]},"metadata":{"tags":[]},"execution_count":23}]},{"cell_type":"markdown","metadata":{"id":"rkBXhtp97HjU","colab_type":"text"},"source":["*Selecionando todas as linhas e apenas algumas colunas.*"]},{"cell_type":"code","metadata":{"id":"_c1rNxCF4osJ","colab_type":"code","colab":{}},"source":["df.loc[:, ['Name', 'Sex', 'Age']]"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"aB0ExNUsf6oC","colab_type":"text"},"source":["*Trabalhando com o método query()*"]},{"cell_type":"code","metadata":{"id":"p1r8XrLk4ovI","colab_type":"code","outputId":"c7cbbe77-0a73-48c4-e0e7-615916620c2f","executionInfo":{"status":"ok","timestamp":1563408438354,"user_tz":180,"elapsed":612,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":530}},"source":["df.query('Age > 20').head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Survived  Pclass  ... Cabin Embarked\n","PassengerId                    ...               \n","1                   0       3  ...   NaN        S\n","2                   1       1  ...   C85        C\n","3                   1       3  ...   NaN        S\n","4                   1       1  ...  C123        S\n","5                   0       3  ...   NaN        S\n","\n","[5 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":25}]},{"cell_type":"code","metadata":{"id":"nWLu6U6_gCiy","colab_type":"code","outputId":"f1376b02-82f6-41f9-c3fb-014959b55ff8","executionInfo":{"status":"ok","timestamp":1563408463672,"user_tz":180,"elapsed":622,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":681}},"source":["df.query('Age > 20 & Sex==\"male\"').head(10)"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>McCarthy, Mr. Timothy J</td>\n","      <td>male</td>\n","      <td>54.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>17463</td>\n","      <td>51.8625</td>\n","      <td>E46</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Andersson, Mr. Anders Johan</td>\n","      <td>male</td>\n","      <td>39.0</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>347082</td>\n","      <td>31.2750</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>Fynney, Mr. Joseph J</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>239865</td>\n","      <td>26.0000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Beesley, Mr. Lawrence</td>\n","      <td>male</td>\n","      <td>34.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>248698</td>\n","      <td>13.0000</td>\n","      <td>D56</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Sloper, Mr. William Thompson</td>\n","      <td>male</td>\n","      <td>28.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>113788</td>\n","      <td>35.5000</td>\n","      <td>A6</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>31</th>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>Uruchurtu, Don. Manuel E</td>\n","      <td>male</td>\n","      <td>40.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>PC 17601</td>\n","      <td>27.7208</td>\n","      <td>NaN</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>34</th>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>Wheadon, Mr. Edward H</td>\n","      <td>male</td>\n","      <td>66.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>C.A. 24579</td>\n","      <td>10.5000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>35</th>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>Meyer, Mr. Edgar Joseph</td>\n","      <td>male</td>\n","      <td>28.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17604</td>\n","      <td>82.1708</td>\n","      <td>NaN</td>\n","      <td>C</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Survived  Pclass  ... Cabin Embarked\n","PassengerId                    ...               \n","1                   0       3  ...   NaN        S\n","5                   0       3  ...   NaN        S\n","7                   0       1  ...   E46        S\n","14                  0       3  ...   NaN        S\n","21                  0       2  ...   NaN        S\n","22                  1       2  ...   D56        S\n","24                  1       1  ...    A6        S\n","31                  0       1  ...   NaN        C\n","34                  0       2  ...   NaN        S\n","35                  0       1  ...   NaN        C\n","\n","[10 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":26}]},{"cell_type":"markdown","metadata":{"id":"SOhd0tEPgYRj","colab_type":"text"},"source":["**Usando o operador OR **"]},{"cell_type":"code","metadata":{"id":"oXBc9dX0gCri","colab_type":"code","outputId":"9caa7855-ec8f-4f8e-d58d-f6d2b966781c","executionInfo":{"status":"ok","timestamp":1563408508419,"user_tz":180,"elapsed":630,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":909}},"source":["df.query('Age > 20 | Sex==\"male\"').head(10)"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Moran, Mr. James</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>330877</td>\n","      <td>8.4583</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>McCarthy, Mr. Timothy J</td>\n","      <td>male</td>\n","      <td>54.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>17463</td>\n","      <td>51.8625</td>\n","      <td>E46</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Palsson, Master. Gosta Leonard</td>\n","      <td>male</td>\n","      <td>2.0</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>349909</td>\n","      <td>21.0750</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n","      <td>female</td>\n","      <td>27.0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>347742</td>\n","      <td>11.1333</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Bonnell, Miss. Elizabeth</td>\n","      <td>female</td>\n","      <td>58.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>113783</td>\n","      <td>26.5500</td>\n","      <td>C103</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Survived  Pclass  ... Cabin Embarked\n","PassengerId                    ...               \n","1                   0       3  ...   NaN        S\n","2                   1       1  ...   C85        C\n","3                   1       3  ...   NaN        S\n","4                   1       1  ...  C123        S\n","5                   0       3  ...   NaN        S\n","6                   0       3  ...   NaN        Q\n","7                   0       1  ...   E46        S\n","8                   0       3  ...   NaN        S\n","9                   1       3  ...   NaN        S\n","12                  1       1  ...  C103        S\n","\n","[10 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":27}]},{"cell_type":"markdown","metadata":{"id":"oSq8P9v1ghd3","colab_type":"text"},"source":["*Operador In  e o parâmetro inplace*"]},{"cell_type":"code","metadata":{"id":"Ac6-KJwFgCuS","colab_type":"code","colab":{}},"source":["df.query('Embarked in [\"C\",\"Q\"]', inplace=True)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"MobM_m6Pg72Y","colab_type":"code","outputId":"12c44dc1-a5c2-46bd-e70d-ad5706b04d54","executionInfo":{"status":"ok","timestamp":1563408603170,"user_tz":180,"elapsed":599,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":443}},"source":["df.head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","    <tr>\n","      <th>PassengerId</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Moran, Mr. James</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>330877</td>\n","      <td>8.4583</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n","      <td>female</td>\n","      <td>14.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>237736</td>\n","      <td>30.0708</td>\n","      <td>NaN</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Rice, Master. Eugene</td>\n","      <td>male</td>\n","      <td>2.0</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>382652</td>\n","      <td>29.1250</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Masselmani, Mrs. Fatima</td>\n","      <td>female</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2649</td>\n","      <td>7.2250</td>\n","      <td>NaN</td>\n","      <td>C</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["             Survived  Pclass  ... Cabin Embarked\n","PassengerId                    ...               \n","2                   1       1  ...   C85        C\n","6                   0       3  ...   NaN        Q\n","10                  1       2  ...   NaN        C\n","17                  0       3  ...   NaN        Q\n","20                  1       3  ...   NaN        C\n","\n","[5 rows x 11 columns]"]},"metadata":{"tags":[]},"execution_count":29}]},{"cell_type":"markdown","metadata":{"id":"I1kewkiP02i9","colab_type":"text"},"source":["*Filtrando dados do tipo object*"]},{"cell_type":"code","metadata":{"id":"pdv3Ra3t0yIJ","colab_type":"code","outputId":"b9d39c63-5875-42d1-f731-d6ed6b22815c","executionInfo":{"status":"ok","timestamp":1563408972443,"user_tz":180,"elapsed":587,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["df.select_dtypes(include=['float'])"],"execution_count":0,"outputs":[{"output_type":"execute_result","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>Age</th>\n","      <th>Fare</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>22.0</td>\n","      <td>7.2500</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>38.0</td>\n","      <td>71.2833</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>26.0</td>\n","      <td>7.9250</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>35.0</td>\n","      <td>53.1000</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>35.0</td>\n","      <td>8.0500</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>NaN</td>\n","      <td>8.4583</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>54.0</td>\n","      <td>51.8625</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>2.0</td>\n","      <td>21.0750</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>27.0</td>\n","      <td>11.1333</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>14.0</td>\n","      <td>30.0708</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>4.0</td>\n","      <td>16.7000</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>58.0</td>\n","      <td>26.5500</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>20.0</td>\n","      <td>8.0500</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>39.0</td>\n","      <td>31.2750</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>14.0</td>\n","      <td>7.8542</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>55.0</td>\n","      <td>16.0000</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>2.0</td>\n","      <td>29.1250</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>NaN</td>\n","      <td>13.0000</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>31.0</td>\n","      <td>18.0000</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>NaN</td>\n","      <td>7.2250</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>35.0</td>\n","      <td>26.0000</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>34.0</td>\n","      <td>13.0000</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>15.0</td>\n","      <td>8.0292</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>28.0</td>\n","      <td>35.5000</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>8.0</td>\n","      <td>21.0750</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>38.0</td>\n","      <td>31.3875</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>NaN</td>\n","      <td>7.2250</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>19.0</td>\n","      <td>263.0000</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>NaN</td>\n","      <td>7.8792</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>NaN</td>\n","      <td>7.8958</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>861</th>\n","      <td>21.0</td>\n","      <td>11.5000</td>\n","    </tr>\n","    <tr>\n","      <th>862</th>\n","      <td>48.0</td>\n","      <td>25.9292</td>\n","    </tr>\n","    <tr>\n","      <th>863</th>\n","      <td>NaN</td>\n","      <td>69.5500</td>\n","    </tr>\n","    <tr>\n","      <th>864</th>\n","      <td>24.0</td>\n","      <td>13.0000</td>\n","    </tr>\n","    <tr>\n","      <th>865</th>\n","      <td>42.0</td>\n","      <td>13.0000</td>\n","    </tr>\n","    <tr>\n","      <th>866</th>\n","      <td>27.0</td>\n","      <td>13.8583</td>\n","    </tr>\n","    <tr>\n","      <th>867</th>\n","      <td>31.0</td>\n","      <td>50.4958</td>\n","    </tr>\n","    <tr>\n","      <th>868</th>\n","      <td>NaN</td>\n","      <td>9.5000</td>\n","    </tr>\n","    <tr>\n","      <th>869</th>\n","      <td>4.0</td>\n","      <td>11.1333</td>\n","    </tr>\n","    <tr>\n","      <th>870</th>\n","      <td>26.0</td>\n","      <td>7.8958</td>\n","    </tr>\n","    <tr>\n","      <th>871</th>\n","      <td>47.0</td>\n","      <td>52.5542</td>\n","    </tr>\n","    <tr>\n","      <th>872</th>\n","      <td>33.0</td>\n","      <td>5.0000</td>\n","    </tr>\n","    <tr>\n","      <th>873</th>\n","      <td>47.0</td>\n","      <td>9.0000</td>\n","    </tr>\n","    <tr>\n","      <th>874</th>\n","      <td>28.0</td>\n","      <td>24.0000</td>\n","    </tr>\n","    <tr>\n","      <th>875</th>\n","      <td>15.0</td>\n","      <td>7.2250</td>\n","    </tr>\n","    <tr>\n","      <th>876</th>\n","      <td>20.0</td>\n","      <td>9.8458</td>\n","    </tr>\n","    <tr>\n","      <th>877</th>\n","      <td>19.0</td>\n","      <td>7.8958</td>\n","    </tr>\n","    <tr>\n","      <th>878</th>\n","      <td>NaN</td>\n","      <td>7.8958</td>\n","    </tr>\n","    <tr>\n","      <th>879</th>\n","      <td>56.0</td>\n","      <td>83.1583</td>\n","    </tr>\n","    <tr>\n","      <th>880</th>\n","      <td>25.0</td>\n","      <td>26.0000</td>\n","    </tr>\n","    <tr>\n","      <th>881</th>\n","      <td>33.0</td>\n","      <td>7.8958</td>\n","    </tr>\n","    <tr>\n","      <th>882</th>\n","      <td>22.0</td>\n","      <td>10.5167</td>\n","    </tr>\n","    <tr>\n","      <th>883</th>\n","      <td>28.0</td>\n","      <td>10.5000</td>\n","    </tr>\n","    <tr>\n","      <th>884</th>\n","      <td>25.0</td>\n","      <td>7.0500</td>\n","    </tr>\n","    <tr>\n","      <th>885</th>\n","      <td>39.0</td>\n","      <td>29.1250</td>\n","    </tr>\n","    <tr>\n","      <th>886</th>\n","      <td>27.0</td>\n","      <td>13.0000</td>\n","    </tr>\n","    <tr>\n","      <th>887</th>\n","      <td>19.0</td>\n","      <td>30.0000</td>\n","    </tr>\n","    <tr>\n","      <th>888</th>\n","      <td>NaN</td>\n","      <td>23.4500</td>\n","    </tr>\n","    <tr>\n","      <th>889</th>\n","      <td>26.0</td>\n","      <td>30.0000</td>\n","    </tr>\n","    <tr>\n","      <th>890</th>\n","      <td>32.0</td>\n","      <td>7.7500</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>891 rows × 2 columns</p>\n","</div>"],"text/plain":["      Age      Fare\n","0    22.0    7.2500\n","1    38.0   71.2833\n","2    26.0    7.9250\n","3    35.0   53.1000\n","4    35.0    8.0500\n","5     NaN    8.4583\n","6    54.0   51.8625\n","7     2.0   21.0750\n","8    27.0   11.1333\n","9    14.0   30.0708\n","10    4.0   16.7000\n","11   58.0   26.5500\n","12   20.0    8.0500\n","13   39.0   31.2750\n","14   14.0    7.8542\n","15   55.0   16.0000\n","16    2.0   29.1250\n","17    NaN   13.0000\n","18   31.0   18.0000\n","19    NaN    7.2250\n","20   35.0   26.0000\n","21   34.0   13.0000\n","22   15.0    8.0292\n","23   28.0   35.5000\n","24    8.0   21.0750\n","25   38.0   31.3875\n","26    NaN    7.2250\n","27   19.0  263.0000\n","28    NaN    7.8792\n","29    NaN    7.8958\n","..    ...       ...\n","861  21.0   11.5000\n","862  48.0   25.9292\n","863   NaN   69.5500\n","864  24.0   13.0000\n","865  42.0   13.0000\n","866  27.0   13.8583\n","867  31.0   50.4958\n","868   NaN    9.5000\n","869   4.0   11.1333\n","870  26.0    7.8958\n","871  47.0   52.5542\n","872  33.0    5.0000\n","873  47.0    9.0000\n","874  28.0   24.0000\n","875  15.0    7.2250\n","876  20.0    9.8458\n","877  19.0    7.8958\n","878   NaN    7.8958\n","879  56.0   83.1583\n","880  25.0   26.0000\n","881  33.0    7.8958\n","882  22.0   10.5167\n","883  28.0   10.5000\n","884  25.0    7.0500\n","885  39.0   29.1250\n","886  27.0   13.0000\n","887  19.0   30.0000\n","888   NaN   23.4500\n","889  26.0   30.0000\n","890  32.0    7.7500\n","\n","[891 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":33}]},{"cell_type":"markdown","metadata":{"id":"09wZd4kG893X","colab_type":"text"},"source":["### Analisando um Dataframe com Profiling"]},{"cell_type":"code","metadata":{"id":"D24z6zOskbZr","colab_type":"code","colab":{}},"source":["import pandas_profiling"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"iO7pxpz_lgEx","colab_type":"code","outputId":"c9c006e3-8b7c-4dcf-f710-2d03fdb9a2e4","executionInfo":{"status":"ok","timestamp":1563409364345,"user_tz":180,"elapsed":2818,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["pandas_profiling.ProfileReport(df)"],"execution_count":36,"outputs":[{"output_type":"execute_result","data":{"text/html":["<meta 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    text-align: center;\n","                background-color: #337ab7;\n","                border-radius: 3px;\n","                margin-right: 4px;\n","            }\n","            .other .bar {\n","                background-color: #999;\n","            }\n","            .missing .bar{\n","                background-color: #a94442;\n","            }\n","            .tooltip-inner {\n","                width: 100%;\n","                white-space: nowrap;\n","                text-align:left;\n","            }\n","\n","            .extrapadding{\n","                padding: 2em;\n","            }\n","\n","            .pp-anchor{\n","\n","            }\n","\n","</style>\n","\n","<div class=\"container pandas-profiling\">\n","    <div class=\"row headerrow highlight\">\n","        <h1>Overview</h1>\n","    </div>\n","    <div class=\"row variablerow\">\n","    <div class=\"col-md-6 namecol\">\n","        <p class=\"h4\">Dataset info</p>\n","        <table class=\"stats\" style=\"margin-left: 1em;\">\n","            <tbody>\n","            <tr>\n","                <th>Number of variables</th>\n","                <td>12 </td>\n","            </tr>\n","            <tr>\n","                <th>Number of observations</th>\n","                <td>891 </td>\n","            </tr>\n","            <tr>\n","                <th>Total Missing (%)</th>\n","                <td>8.1% </td>\n","            </tr>\n","            <tr>\n","                <th>Total size in memory</th>\n","                <td>83.6 KiB </td>\n","            </tr>\n","            <tr>\n","                <th>Average record size in memory</th>\n","                <td>96.1 B </td>\n","            </tr>\n","            </tbody>\n","        </table>\n","    </div>\n","    <div class=\"col-md-6 namecol\">\n","        <p class=\"h4\">Variables types</p>\n","        <table class=\"stats\" style=\"margin-left: 1em;\">\n","            <tbody>\n","            <tr>\n","                <th>Numeric</th>\n","                <td>6 </td>\n","            </tr>\n","            <tr>\n","                <th>Categorical</th>\n","                <td>4 </td>\n","            </tr>\n","            <tr>\n","                <th>Boolean</th>\n","                <td>1 </td>\n","            </tr>\n","            <tr>\n","                <th>Date</th>\n","                <td>0 </td>\n","            </tr>\n","            <tr>\n","                <th>Text (Unique)</th>\n","                <td>1 </td>\n","            </tr>\n","            <tr>\n","                <th>Rejected</th>\n","                <td>0 </td>\n","            </tr>\n","            <tr>\n","                <th>Unsupported</th>\n","                <td>0 </td>\n","            </tr>\n","            </tbody>\n","        </table>\n","    </div>\n","    <div class=\"col-md-12\" style=\"padding-left: 1em;\">\n","        \n","        <p class=\"h4\">Warnings</p>\n","        <ul class=\"list-unstyled\"><li><a href=\"#pp_var_Age\"><code>Age</code></a> has 177 / 19.9% missing values <span class=\"label label-default\">Missing</span></li><li><a href=\"#pp_var_Cabin\"><code>Cabin</code></a> has 687 / 77.1% missing values <span class=\"label label-default\">Missing</span></li><li><a href=\"#pp_var_Cabin\"><code>Cabin</code></a> has a high cardinality: 148 distinct values  <span class=\"label label-warning\">Warning</span></li><li><a href=\"#pp_var_Fare\"><code>Fare</code></a> has 15 / 1.7% zeros <span class=\"label label-info\">Zeros</span></li><li><a href=\"#pp_var_Parch\"><code>Parch</code></a> has 678 / 76.1% zeros <span class=\"label label-info\">Zeros</span></li><li><a href=\"#pp_var_SibSp\"><code>SibSp</code></a> has 608 / 68.2% zeros <span class=\"label label-info\">Zeros</span></li><li><a href=\"#pp_var_Ticket\"><code>Ticket</code></a> has a high cardinality: 681 distinct values  <span class=\"label label-warning\">Warning</span></li> </ul>\n","    </div>\n","</div>\n","    <div class=\"row headerrow highlight\">\n","        <h1>Variables</h1>\n","    </div>\n","    <div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Age\">Age<br/>\n","            <small>Numeric</small>\n","        </p>\n","    </div><div class=\"col-md-6\">\n","    <div class=\"row\">\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","                <tr>\n","                    <th>Distinct count</th>\n","                    <td>89</td>\n","                </tr>\n","                <tr>\n","                    <th>Unique (%)</th>\n","                    <td>10.0%</td>\n","                </tr>\n","                <tr class=\"alert\">\n","                    <th>Missing (%)</th>\n","                    <td>19.9%</td>\n","                </tr>\n","                <tr class=\"alert\">\n","                    <th>Missing (n)</th>\n","                    <td>177</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (n)</th>\n","                    <td>0</td>\n","                </tr>\n","            </table>\n","\n","        </div>\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","\n","                <tr>\n","                    <th>Mean</th>\n","                    <td>29.699</td>\n","                </tr>\n","                <tr>\n","                    <th>Minimum</th>\n","                    <td>0.42</td>\n","                </tr>\n","                <tr>\n","                    <th>Maximum</th>\n","                    <td>80</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Zeros (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","            </table>\n","        </div>\n","    </div>\n","</div>\n","<div class=\"col-md-3 collapse in\" id=\"minihistogram7360277838914457384\">\n","    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAATBJREFUeJzt3cGJwlAYRtFxsCSLsCfX09MUYU%2BxAbkkQsivnrMXsrl8vvDE07Isyw/w1O/RDwCTnY9%2BgKNcbv%2BbP3P/u%2B7wJExmQSB87YK8YuvqWJz3Z0EgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAguM27I785eX8WBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCu1jDuL81iwWBIBAIAoEgEAjjDukOqUxiQSCcpv2J5ysLwjYWdz0LAkEgEAQCQSAQxr3mZX9epa9nQSAIBIJAIDiDsMq3nlssCAQLwm4%2BYXXG3cWCSXzFgiAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgfAA2GcnmG8/XLAAAAAASUVORK5CYII%3D\">\n","\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives7360277838914457384,#minihistogram7360277838914457384\"\n","       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"row collapse col-md-12\" id=\"descriptives7360277838914457384\">\n","    <ul class=\"nav nav-tabs\" role=\"tablist\">\n","        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles7360277838914457384\"\n","                                                  aria-controls=\"quantiles7360277838914457384\" role=\"tab\"\n","                                                  data-toggle=\"tab\">Statistics</a></li>\n","        <li role=\"presentation\"><a href=\"#histogram7360277838914457384\" aria-controls=\"histogram7360277838914457384\"\n","                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n","        <li role=\"presentation\"><a href=\"#common7360277838914457384\" aria-controls=\"common7360277838914457384\"\n","                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n","        <li role=\"presentation\"><a href=\"#extreme7360277838914457384\" aria-controls=\"extreme7360277838914457384\"\n","                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n","\n","    </ul>\n","\n","    <div class=\"tab-content\">\n","        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles7360277838914457384\">\n","            <div class=\"col-md-4 col-md-offset-1\">\n","                <p class=\"h4\">Quantile statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Minimum</th>\n","                        <td>0.42</td>\n","                    </tr>\n","                    <tr>\n","                        <th>5-th percentile</th>\n","                        <td>4</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q1</th>\n","                        <td>20.125</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Median</th>\n","                        <td>28</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q3</th>\n","                        <td>38</td>\n","                    </tr>\n","                    <tr>\n","                        <th>95-th percentile</th>\n","                        <td>56</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Maximum</th>\n","                        <td>80</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Range</th>\n","                        <td>79.58</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Interquartile range</th>\n","                        <td>17.875</td>\n","                    </tr>\n","                </table>\n","            </div>\n","            <div class=\"col-md-4 col-md-offset-2\">\n","                <p class=\"h4\">Descriptive statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Standard deviation</th>\n","                        <td>14.526</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Coef of variation</th>\n","                        <td>0.48912</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Kurtosis</th>\n","                        <td>0.17827</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Mean</th>\n","                        <td>29.699</td>\n","                    </tr>\n","                    <tr>\n","                        <th>MAD</th>\n","                        <td>11.323</td>\n","                    </tr>\n","                    <tr class=\"\">\n","                        <th>Skewness</th>\n","                        <td>0.38911</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Sum</th>\n","                        <td>21205</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Variance</th>\n","                        <td>211.02</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Memory size</th>\n","                        <td>7.0 KiB</td>\n","                    </tr>\n","                </table>\n","            </div>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram7360277838914457384\">\n","            <img 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NXbsWG3ZssXu8QAAAH5VwBas8vJyvf3227r33nuVmZmp2NhYPfroo7r88ss1ZswYrVq1yu4RAQAATslj9wAny8/P17Jly/SPf/xDZWVluuGGG/Tyyy%2BrW7du1bfp0aOHnnjiCd144402TgoAAHBqAVewhgwZorZt22rcuHEaNmyYmjdvXuM2ffr00cGDB22YDgAA4PQCrmC98sor6tmz52lv99VXX52DaQAAAOou4F6D1aFDB40fP17r1q2rXvvb3/6me%2B%2B9VyUlJTZOBgAAUDsBV7CysrJ06NAhtWvXrnqtb9%2B%2Bqqqq0uzZs22cDAAAoHYC7hLhxx9/rFWrVikqKqp6rU2bNsrOztbvf/97GycDAAConYA7g3X06FGFhYXVWA8ODtaRI0dsmAgAAKBuAq5g9ejRQ7Nnz9aPP/5Yvfb9999rxowZfm/VAAAAEKgC7hLhtGnTdPfdd%2Bvqq69W06ZNVVVVpbKyMsXHx%2BvVV1%2B1ezwAAIDTCriCFR8fr7feeksfffSRvvvuOwUHB6tt27bq3bu3QkJC7B4PAADgtAKuYElSaGio%2Bvfvb/cYAAAAZyTgCtbevXs1Z84cffPNNzp69GiN7e%2B9916t9rNhwwZlZmYqKSlJc%2BfO9dv29ttv6/nnn9e%2BffvUtm1bPfjgg%2Brdu7ckqaqqSvPmzdPq1atVWlqqzp0764knnlB8fPzZhwMAAA1CwBWsadOmqaioSL1791aTJk3OaB8LFy7UsmXL1Lp16xrbduzYoczMTOXk5Oiqq65SXl6e7r//fq1Zs0YtW7bUkiVLtGrVKi1cuFCxsbGaO3eu0tPTtWLFCgUFBZ1tPAAA0AAEXMHaunWr3nvvPUVHR5/xPsLCwrRs2TI9%2BeSTOnbsmN%2B2pUuXqk%2BfPurTp48kaejQoVq8eLFWrlyp%2B%2B67T7m5uRozZowuueQSSdKUKVOUlJSkr776Sl26dDnzYAAAoMEIuLdpOO%2B88874zNUJaWlpioiIOOW2bdu2qWPHjn5rHTt2lNfr1dGjR/Xtt9/6bW/atKlat24tr9d7VjMBAICGI%2BDOYI0bN045OTmaOnVqvVySKykpUbNmzfzWmjVrpm%2B//VY//vijLMs65fbi4uJa30dRUZF8Pp/fmsfTRDExMWc%2B%2BC%2BEhAT7fXQLt%2BaC87nxmHTz882t2dyaS3JntoArWB999JE%2B//xzLV%2B%2BXK1atVJwsP8/9uuvv37W92FZ1lltP53c3Fzl5OT4raWnp2vSpElntd%2BTRUY2Nrq/QOHWXHAuNx%2BTZHMet%2BaS3JUt4ApW06ZNde2119bb/qOiolRSUuK3VlJSoujoaDVv3lzBwcGn3H7eeefV%2Bj5SU1OVkpLit%2BbxNFFxcdmZD/4LISHBioxsrNLSI6qsrDKyz0Dg1lxwPjcek25%2Bvrk1m1tzSfWbLSoq3Oj%2BaivgClZWVla97j8hIUFbt271W/N6vRoyZIjCwsJ06aWXatu2berZs6ckqbS0VN999506d%2B5c6/uIiYmpcTnQ5zukigqzB01lZZXxfQYCt%2BaCc7n5mCSb87g1l%2BSubAF5sXPXrl2aP3%2B%2BHn300eq1L774wsi%2Bb731Vv3P//yPPvjgAx07dkzLli3Tnj17NHToUEnS6NGj9corryg/P1%2BHDx9Wdna2Lr/8ciUmJhq5fwAA4H4BdwZr06ZNuvfee9W2bVvt2bNHWVlZ2rt3r9LS0vTMM8%2BoX79%2Bp93HiTJUUVEhSVq3bp2kn89UtW/fXtnZ2crKylJBQYHatWunF198US1atJAkjRo1Sj6fT3fccYfKysqUlJRU4/VUAAAAvyXIOttXdBt26623asiQIbrzzjvVuXNnbdmyRZL01ltv6a9//auWL19u84Rnxuc7ZGxfHk%2BwoqLCVVxc5ppTqVLg5Rr0zEa7R0CAeDfjmoA4Jk0KtOebSW7N5tZcUv1ma9Hi1G/bVN8C7hLh//3f/2n06NGS5Pc2DQMHDlR%2Bfr5dYwEAANRawBWsiIiIU/4OwqKiIoWGhtowEQAAQN0EXMG68sorNWvWLB0%2BfLh6bffu3crMzNTVV19t42QAAAC1E3Avcn/00Ud15513KikpSZWVlbryyit15MgRXXrppZo9e7bd4wEAAJxWwBWsli1bavXq1frwww%2B1e/du/e53v1Pbtm3Vq1evevnVOQAAAKYFXMGSpEaNGql///52jwEAAHBGAq5gpaSk/OaZqvfee%2B8cTgMAAFB3AVewBg8e7FewKisrtXv3bnm9Xt155502TgYAAFA7AVewMjIyTrmel5enf/7zn%2Bd4GgAAgLoLuLdp%2BDX9%2B/fXW2%2B9ZfcYAAAAp%2BWYgrV9%2B3YF2G/1AQAAOKWAu0Q4atSoGmtHjhxRfn6%2BBgwYYMNEAAAAdRNwBatNmzY1foowLCxMI0aM0MiRI22aCgAAoPYCrmDxbu0AAMDpAq5g/eMf/6j1bYcNG1aPkwAAAJyZgCtYjz32mKqqqmq8oD0oKMhvLSgoiIIFAAACUsAVrP/6r//SokWLNH78eHXo0EGWZWnnzp1auHChbr/9diUlJdk9IgAAwG8KuII1e/ZsLViwQLGxsdVr3bt3V3x8vMaOHavVq1fbOB0AAMDpBdz7YO3Zs0fNmjWrsR4ZGamCggIbJgIAAKibgCtYcXFxmj17toqLi6vXSktLNWfOHF100UU2TgYAAFA7AXeJcNq0aZo6dapyc3MVHh6u4OBgHT58WL/73e/03HPP2T0eAADAaQVcwerdu7c%2B%2BOADffjhh9q/f78sy1JsbKyuueYaRURE2D0eAADAaQVcwZKkxo0bq1%2B/ftq/f7/i4%2BPtHgcAAKBOAu41WEePHlVmZqa6du2qQYMGSfr5NVj33HOPSktLbZ4OAADg9AKuYD399NPasWOHsrOzFRz87/EqKyuVnZ1t42QAAAC1E3AFKy8vT88%2B%2B6wGDhxY/UufIyMjlZWVpbVr19o8HQAAwOkFXMEqKytTmzZtaqxHR0frp59%2BOvcDAQAA1FHAFayLLrpI//znPyXJ73cPrlmzRhdeeKFdYwEAANRawP0U4W233aaJEydq%2BPDhqqqq0ksvvaStW7cqLy9Pjz32mN3jAQAAnFbAFazU1FR5PB4tXrxYISEheuGFF9S2bVtlZ2dr4MCBdo8HAABwWgFXsA4ePKjhw4dr%2BPDhdo8CAABwRgLuNVj9%2BvXze%2B0VAACA0wTcGaykpCS98847Gjx4cL3dx6effqq7777bb82yLJWXl%2BuVV15RWlqaQkND/bb/x3/8R/UbnwIAAPyWgCtYF1xwgZ588kktWLBAF110kRo1auS3fc6cOWd9Hz169JDX6/Vbe%2BGFF/T1119LkuLi4rR%2B/fqzvh8AANAwBVzB%2Bvbbb3XxxRdLkoqLi8/Jff7rX//SSy%2B9pDfffFN79%2B49J/cJAADcK2AK1pQpUzR37ly9%2Buqr1WvPPfec0tPT6/2%2B582bp%2BHDh%2BvCCy/U3r17VVZWpvT0dG3evFmhoaG6%2B%2B67NWbMmOp3lgcAAPgtAVOwTnVJbsGCBfVesPbt26e1a9dW/xqepk2bqn379rrzzjs1d%2B5cffLJJ3rggQcUERGhESNG1GqfRUVF8vl8fmseTxPFxMQYmTkkJNjvo1u4NRecz43HpJufb27N5tZckjuzBUzBOtVPDp6LnyZcsmSJBgwYoBYtWkiSOnXq5HcWrXfv3ho1apSWL19e64KVm5urnJwcv7X09HRNmjTJ3OCSIiMbG91foHBrLjiXm49JsjmPW3NJ7soWMAXrVJffzsUluby8PGVmZv7mbeLi4pSXl1frfaampiolJcVvzeNpouLisjOa8WQhIcGKjGys0tIjqqysMrLPQODWXHA%2BNx6Tbn6%2BuTWbW3NJ9ZstKirc6P5qK2AKlh127NihgoIC9erVq3rtnXfeUXFxsW677bbqtV27dik%2BPr7W%2B42JialxOdDnO6SKCrMHTWVllfF9BgK35oJzufmYJJvzuDWX5K5s7rnYeQa2b9%2Bu5s2bq2nTptVrjRo10lNPPaWPP/5Y5eXl2rhxo/7%2B979r9OjRNk4KAACcJGDOYJWXl2vq1KmnXTPxPlgnHDhwoPq1Vyf0799f06ZN08yZM1VYWKjzzz9f06ZN04ABA4zdLwAAcLeAKVjdunVTUVHRaddMGjdunMaNG1djPTU1VampqfV2vwAAwN0CpmD98if3AAAAnKxBvwYLAACgPgTMGSwACFTXZ2%2Bwe4Q6eWdyr9PfCEC94gwWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhnnsHgBnZ9AzG%2B0eodbemdzL7hEAADgnOIMFAABgWIM8g9WhQwc1atRIQUFB1Wu33nqrHn/8cW3atElz5szRrl27dMEFF2jcuHEaOnSojdMCAACnaZAFS5LWrFmjVq1a%2Ba0VFRXpj3/8ox577DHdeOON%2BuyzzzRhwgS1bdtWiYmJNk0KAACchkuEv7Bq1Sq1adNGI0aMUFhYmJKTk5WSkqKlS5faPRoAAHCQBluw5syZo759%2B6p79%2B56/PHHVVZWpm3btqljx45%2Bt%2BvYsaO2bt1q05QAAMCJGuQlwi5duig5OVlPPfWU9u7dq8mTJ2vGjBkqKSlRbGys322bN2%2Bu4uLiOu2/qKhIPp/Pb83jaaKYmJiznl2SQkKC/T46hcfz2/M6NRcQaE73XJPc/Xxzaza35pLcma1BFqzc3Nzq/77kkkuUkZGhCRMmqFu3bsb2n5OT47eWnp6uSZMmGdn/CZGRjY3ur75FRYXX6nZOywUEmto%2B1yR3P9/cms2tuSR3ZWuQBetkrVq1UmVlpYKDg1VSUuK3rbi4WNHR0XXaX2pqqlJSUvzWPJ4mKi4uO%2BtZpZ8bfmRkY5WWHjGyv3PldPl/mauysuocTQW4T22%2B1rj5%2BebWbG7NJdVvtrp8w2FSgytY27dv18qVK/XII49Ur%2BXn5ys0NFR9%2BvTRm2%2B%2B6Xf7rVu36oorrqjTfcTExNS4HOjzHVJFhdmDxmlPsNrmr6ysMv5vBTQkdXn%2BuPn55tZsbs0luSubey521tJ5552n3NxcLViwQMePH9fu3bs1b948paam6qabblJBQYGWLl2qY8eO6cMPP9SHH36oW2%2B91e6xAQCAgzS4ghUbG6sFCxZo/fr1SkpK0qhRo3TNNdfooYce0nnnnacXX3xRixcvVrdu3TRr1iw9/fTTuuyyy%2BweGwAAOEiDu0QoST169NDrr7/%2Bq9tWrFhxjicCAABu0uDOYAEAANS3BnkGC/YY9MxGu0cAAOCc4AwWAACAYZzBAgCXcdLZ4ncm97J7BKBecAYLAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhnnsHsAuBQUFmjVrljZv3qyQkBBde%2B21mjZtmkpLS9WvXz%2BFhob63X7y5MkaO3asTdMCAAAnabAFa/z48UpISND69et16NAhpaen66mnntKECRMkSV6v1%2BYJAQCAUzXIS4SlpaVKSEjQ1KlTFR4erpYtW%2Brmm2/W5s2b7R4NAAC4QIMsWJGRkcrKytL5559fvVZYWKiYmJjqzx9%2B%2BGH17t1bV111lebMmaPy8nI7RgUAAA7UYC8R/pLX69XixYv1/PPPKzQ0VF27dtX111%2BvJ598Ujt27NDEiRPl8Xj0wAMP1Gp/RUVF8vl8fmseTxO/Anc2QkKC/T4CgFN5POa/jrn1a6Rbc0nuzBZkWZZl9xB2%2BuyzzzRhwgTdf//9SktLO%2BVt/vu//1svvviiPvzww1rtc/78%2BcrJyfFbS09P16RJk8563pN1f2yN8X0CwLmy%2BcmBdo8A1IsGfQZr/fr1euihh/T4449r2LBhv3q7uLg4HThwQJZlKSgo6LT7TU1NVUpKit%2Bax9NExcVlZz2z9HPDj4xsrNLSI0b2BwB2MfV18Zd%2B%2BTWysrLK%2BP7t4tZegCCBAAAN%2BUlEQVRcUv1mi4oKN7q/2mqwBevzzz9XZmam5s2bp969e1evb9q0SV9%2B%2BWX1TxNK0q5duxQXF1erciVJMTExNS4H%2BnyHVFFh9qBx2xMMQMNzffYGu0eok3cm97J7BFVWVhn//0mgcFM291zsrIOKigpNnz5dGRkZfuVKkiIiIvTcc89pxYoVKi8vl9fr1V//%2BleNHj3apmkBAIDTNMjXYG3evFl/%2BMMfaryZqCStWbNG27dvV05Ojvbs2aOIiAjdcccduvfeexUcfOZ91Oc7dDYj%2B/F4ghUVFa7i4jLHffcHAE5m5xmsX37td8tZnhPqM1uLFhFG91dbDfISYffu3bVz585f3R4XF6frr7/%2BHE4EAADcpEFeIgQAAKhPFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADDMY/cAAAA4xaBnNto9Qp28M7mX3SM0WJzBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBesUCgoKdN999ykpKUnXXXednn76aVVVVdk9FgAAcAh%2BF%2BEpTJw4UZ06ddK6dev0ww8/aNy4cTr//PN111132T0aAAC15qTfnbj5yYF2j2AUZ7BO4vV69fXXXysjI0MRERFq06aNxowZo9zcXLtHAwAADsEZrJNs27ZNcXFxatasWfVap06dtHv3bh0%2BfFhNmzY97T6Kiork8/n81jyeJoqJiTEyY0hIsN9HAADcwE3/X6NgnaSkpESRkZF%2BayfKVnFxca0KVm5urnJycvzW7r//fk2cONHIjEVFRXr55f9Samqqq06pFhUVKTc3V6mpqcbKaKAgmzORzZncms2tuaSfs82fP99V2dxTFQ2yLOus/n5qaqqWL1/u9yc1NdXQdJLP51NOTk6Ns2RO59ZcEtmcimzO5NZsbs0luTMbZ7BOEh0drZKSEr%2B1kpISBQUFKTo6ulb7iImJcU0DBwAAdccZrJMkJCSosLBQBw8erF7zer1q166dwsPDbZwMAAA4BQXrJB07dlRiYqLmzJmjw4cPKz8/Xy%2B99JJGjx5t92gAAMAhQp544okn7B4i0FxzzTVavXq1Zs6cqbfeeksjRozQ2LFjFRQUZPdo1cLDw9WzZ0/XnVVzay6JbE5FNmdyaza35pLcly3IOttXdAMAAMAPlwgBAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgOUhBQYHuu%2B8%2BJSUl6brrrtPTTz%2Btqqoqu8c6Yxs2bFBycrKmTJlSY9vbb7%2BtG2%2B8UV27dtUtt9yijz/%2B2IYJz0xBQYHS09OVlJSk5ORkPfLIIyotLZUk7dixQ7fffru6deumAQMGaNGiRTZPWzdff/217rzzTnXr1k3JycmaPHmyfD6fJGnTpk0aMWKErrzySg0ZMkQrV660edozM2vWLHXo0KH6c6fn6tChgxISEpSYmFj9Z%2BbMmZKcn%2B2E559/Xr1791aXLl00ZswY7du3T5Jz83366ad%2Bj1diYqISEhKqj0un5jph%2B/btSktLU/fu3dWrVy9lZGTo4MGDkpyfzY8Fx7j55put6dOnW6Wlpdbu3butAQMGWIsWLbJ7rDOyYMECa8CAAdaoUaOsyZMn%2B23bvn27lZCQYH3wwQfW0aNHrRUrVlhXXHGFVVhYaNO0dfP73//eeuSRR6zDhw9bhYWF1i233GJNmzbNOnLkiHXNNddY8%2BfPt8rKyqytW7daPXv2tPLy8uweuVaOHTtmXX311VZOTo517Ngx64cffrBuv/12649//KP1/fffW126dLGWLl1qHT161Nq4caPVuXNna8uWLXaPXSfbt2%2B3evbsabVv396yLMsVudq3b2/t3bu3xrobslmWZS1evNgaOHCglZ%2Bfbx06dMiaOXOmNXPmTNfkO%2BH555%2B3HnjgAcfnKi8vt3r16mXNmTPHOnbsmHXw4EHrrrvusiZOnOj4bCfjDJZDeL1eff3118rIyFBERITatGmjMWPGKDc31%2B7RzkhYWJiWLVum1q1b19i2dOlS9enTR3369FFYWJiGDh2q9u3bO%2BI7mdLSUiUkJGjq1KkKDw9Xy5YtdfPNN2vz5s364IMPVF5ergkTJqhJkybq1KmTRo4c6ZjH8MiRI5oyZYrGjRun0NBQRUdH6/rrr9c333yjVatWqU2bNhoxYoTCwsKUnJyslJQULV261O6xa62qqkp/%2BtOfNGbMmOo1N%2BT6NW7JtmjRIk2ZMkUXX3yxmjZtqunTp2v69OmuySdJ//rXv/TSSy/p4Ycfdnwun88nn8%2Bnm266SaGhoYqKitL111%2BvHTt2OD7byShYDrFt2zbFxcWpWbNm1WudOnXS7t27dfjwYRsnOzNpaWmKiIg45bZt27apY8eOfmsdO3aU1%2Bs9F6OdlcjISGVlZen888%2BvXissLFRMTIy2bdumDh06KCQkpHpbx44dtXXrVjtGrbNmzZpp5MiR8ng8kqRdu3bpzTff1KBBg371MXNKNkl6/fXXFRYWphtvvLF6zQ25JGnOnDnq27evunfvrscff1xlZWWuyPb9999r3759%2BvHHHzV48GAlJSVp0qRJOnjwoCvynTBv3jwNHz5cF154oeNzxcbG6vLLL1dubq7Kysr0ww8/aO3aterbt6/js52MguUQJSUlioyM9Fs7UbaKi4vtGKnelJSU%2BBVJ6eesTszp9Xq1ePFiTZgw4ZSPYfPmzVVSUuKo19IVFBQoISFBgwcPVmJioiZNmvSr2ZzymB04cEDz58/Xn/70J791p%2BeSpC5duig5OVlr165Vbm6uvvzyS82YMcMV2fbv3y9JWrNmjV566SWtWLFC%2B/fv1/Tp012RT5L27duntWvX6q677pLk/GMyODhY8%2BfP13vvvacrr7xSycnJqqio0NSpUx2f7WQULAexLMvuEc4ZN2T97LPPNHbsWE2dOlXJycm/erugoKBzONXZi4uLk9fr1Zo1a7Rnzx49/PDDdo901rKysnTLLbeoXbt2do9iXG5urkaOHKnQ0FBdcsklysjI0OrVq1VeXm73aGftxNeJe%2B65R7GxsWrZsqUmTpyo9evX2zyZOUuWLNGAAQPUokULu0cx4vjx4xo/frwGDhyozZs366OPPlJERIQyMjLsHs04CpZDREdHq6SkxG%2BtpKREQUFBio6Otmmq%2BhEVFXXKrE7KuX79et13332aNm2a0tLSJP38GJ78nVhJSYmaN2%2Bu4GBnPRWDgoLUpk0bTZkyRatXr5bH46nxmBUXFzviMdu0aZO%2B%2BOILpaen19h2qmPRKbl%2BTatWrVRZWang4GDHZztxKf6XZz3i4uJkWZbKy8sdn0%2BS8vLylJKSUv2504/JTZs2ad%2B%2BfXrwwQcVERGh2NhYTZo0Se%2B%2B%2B64rjslfctZX9QYsISFBhYWF1T/KKv18%2Baldu3YKDw%2B3cTLzEhISalxz93q9uuKKK2yaqG4%2B//xzZWZmat68eRo2bFj1ekJCgnbu3KmKiorqNSfl2rRpk2644Qa/y5knimHnzp1rPGZbt251RLaVK1fqhx9%2B0HXXXaekpCTdcsstkqSkpCS1b9/esbmkn38cfvbs2X5r%2Bfn5Cg0NVZ8%2BfRydTZJatmyppk2baseOHdVrBQUFatSokSvy7dixQwUFBerVq1f1WmJioqNzVVZWqqqqyu8qxfHjxyVJycnJjs5Wg60/w4g6GTlypDVt2jTr0KFD1rfffmulpKRYixcvtnuss5KZmVnjbRp27txpJSYmWu%2B//7519OhRa%2BnSpVbXrl2toqIim6asvfLycmvQoEHW66%2B/XmPbsWPHrOuuu8569tlnrZ9%2B%2Bsn68ssvre7du1vvv//%2BuR/0DJSWllrJycnW7NmzrZ9%2B%2Bsn64YcfrLFjx1q33XabdeDAAatr167WG2%2B8YR09etT64IMPrM6dO1s7duywe%2BzTKikpsQoLC6v/fPHFF1b79u2twsJCq6CgwLG5LMuy9u/fb3Xp0sV68cUXrWPHjlm7du2yBg8ebM2cOdPRj9kvzZo1y%2BrXr5%2B1Z88e68CBA1Zqaqr1yCOPuCLfsmXLrJ49e/qtOT3XwYMHrZ49e1p/%2BctfrJ9%2B%2Bsk6ePCgNX78eOsPf/iD47OdjILlIIWFhdY999xjde7c2UpOTraeffZZq6qqyu6xzkhCQoKVkJBgXXbZZdZll11W/fkJeXl51oABA6xOnTpZN910k/XJJ5/YOG3tffrpp1b79u2r8/zyz759%2B6ydO3dao0aNshISEqy%2BfftaS5YssXvkOvn666%2Bt22%2B/3ercubN11VVXWZMnT7b2799vWZZlffLJJ9bQoUOtTp06WQMGDHDM%2B3udbO/evdXvg2VZzs/1ySefWKmpqVaXLl2snj17WllZWdbRo0ertzk5m2X9/I3LE088YfXo0cPq0qWLlZmZaR0%2BfNiyLOfne%2BGFF6whQ4bUWHd6Lq/Xa91%2B%2B%2B1W9%2B7dreTkZFd%2BHbEsywqyLBe8mhgAACCA8BosAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADDs/wEBG3bMrpTdnwAAAABJRU5ErkJggg%3D%3D\"/>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common7360277838914457384\">\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">24.0</td>\n","        <td class=\"number\">30</td>\n","        <td class=\"number\">3.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">22.0</td>\n","        <td class=\"number\">27</td>\n","        <td class=\"number\">3.0%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">18.0</td>\n","        <td class=\"number\">26</td>\n","        <td class=\"number\">2.9%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">28.0</td>\n","        <td class=\"number\">25</td>\n","        <td class=\"number\">2.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">19.0</td>\n","        <td class=\"number\">25</td>\n","        <td class=\"number\">2.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">30.0</td>\n","        <td class=\"number\">25</td>\n","        <td class=\"number\">2.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">21.0</td>\n","        <td class=\"number\">24</td>\n","        <td class=\"number\">2.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">25.0</td>\n","        <td class=\"number\">23</td>\n","        <td class=\"number\">2.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">36.0</td>\n","        <td class=\"number\">22</td>\n","        <td class=\"number\">2.5%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">29.0</td>\n","        <td class=\"number\">20</td>\n","        <td class=\"number\">2.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"other\">\n","        <td class=\"fillremaining\">Other values (78)</td>\n","        <td class=\"number\">467</td>\n","        <td class=\"number\">52.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"missing\">\n","        <td class=\"fillremaining\">(Missing)</td>\n","        <td class=\"number\">177</td>\n","        <td class=\"number\">19.9%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme7360277838914457384\">\n","            <p class=\"h4\">Minimum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">0.42</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">0.67</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">0.75</td>\n","        <td class=\"number\">2</td>\n","        <td class=\"number\">0.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">0.83</td>\n","        <td class=\"number\">2</td>\n","        <td class=\"number\">0.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">0.92</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","            <p class=\"h4\">Maximum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">70.0</td>\n","        <td class=\"number\">2</td>\n","        <td class=\"number\">0.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">70.5</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">71.0</td>\n","        <td class=\"number\">2</td>\n","        <td class=\"number\">0.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">74.0</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">80.0</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","    </div>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Cabin\">Cabin<br/>\n","            <small>Categorical</small>\n","        </p>\n","    </div><div class=\"col-md-3\">\n","    <table class=\"stats \">\n","        <tr class=\"alert\">\n","            <th>Distinct count</th>\n","            <td>148</td>\n","        </tr>\n","        <tr>\n","            <th>Unique (%)</th>\n","            <td>16.6%</td>\n","        </tr>\n","        <tr class=\"alert\">\n","            <th>Missing (%)</th>\n","            <td>77.1%</td>\n","        </tr>\n","        <tr class=\"alert\">\n","            <th>Missing (n)</th>\n","            <td>687</td>\n","        </tr>\n","    </table>\n","</div>\n","<div class=\"col-md-6 collapse in\" id=\"minifreqtable-7026959522414849976\">\n","    <table class=\"mini freq\">\n","        <tr class=\"\">\n","    <th>B96 B98</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 0.4%\">\n","            &nbsp;\n","        </div>\n","        4\n","    </td>\n","</tr><tr class=\"\">\n","    <th>G6</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 0.4%\">\n","            &nbsp;\n","        </div>\n","        4\n","    </td>\n","</tr><tr class=\"\">\n","    <th>C23 C25 C27</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 0.4%\">\n","            &nbsp;\n","        </div>\n","        4\n","    </td>\n","</tr><tr class=\"other\">\n","    <th>Other values (144)</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:28%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 21.5%\">\n","            192\n","        </div>\n","        \n","    </td>\n","</tr><tr class=\"missing\">\n","    <th>(Missing)</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 77.1%\">\n","            687\n","        </div>\n","        \n","    </td>\n","</tr>\n","    </table>\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-7026959522414849976, #minifreqtable-7026959522414849976\"\n","       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-7026959522414849976\">\n","    \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">B96 B98</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">G6</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">C23 C25 C27</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">D</td>\n","        <td class=\"number\">3</td>\n","        <td class=\"number\">0.3%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">F33</td>\n","        <td class=\"number\">3</td>\n","        <td class=\"number\">0.3%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">F2</td>\n","        <td class=\"number\">3</td>\n","        <td class=\"number\">0.3%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">E101</td>\n","        <td class=\"number\">3</td>\n","        <td class=\"number\">0.3%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">C22 C26</td>\n","        <td class=\"number\">3</td>\n","        <td class=\"number\">0.3%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">E25</td>\n","        <td class=\"number\">2</td>\n","        <td class=\"number\">0.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">E8</td>\n","        <td class=\"number\">2</td>\n","        <td class=\"number\">0.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"other\">\n","        <td class=\"fillremaining\">Other values (137)</td>\n","        <td class=\"number\">173</td>\n","        <td class=\"number\">19.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"missing\">\n","        <td class=\"fillremaining\">(Missing)</td>\n","        <td class=\"number\">687</td>\n","        <td class=\"number\">77.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Embarked\">Embarked<br/>\n","            <small>Categorical</small>\n","        </p>\n","    </div><div class=\"col-md-3\">\n","    <table class=\"stats \">\n","        <tr class=\"\">\n","            <th>Distinct count</th>\n","            <td>4</td>\n","        </tr>\n","        <tr>\n","            <th>Unique (%)</th>\n","            <td>0.4%</td>\n","        </tr>\n","        <tr class=\"ignore\">\n","            <th>Missing (%)</th>\n","            <td>0.2%</td>\n","        </tr>\n","        <tr class=\"ignore\">\n","            <th>Missing (n)</th>\n","            <td>2</td>\n","        </tr>\n","    </table>\n","</div>\n","<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1337197489763799401\">\n","    <table class=\"mini freq\">\n","        <tr class=\"\">\n","    <th>S</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 72.3%\">\n","            644\n","        </div>\n","        \n","    </td>\n","</tr><tr class=\"\">\n","    <th>C</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:26%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 18.9%\">\n","            168\n","        </div>\n","        \n","    </td>\n","</tr><tr class=\"\">\n","    <th>Q</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:12%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 8.6%\">\n","            &nbsp;\n","        </div>\n","        77\n","    </td>\n","</tr><tr class=\"missing\">\n","    <th>(Missing)</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 0.2%\">\n","            &nbsp;\n","        </div>\n","        2\n","    </td>\n","</tr>\n","    </table>\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1337197489763799401, #minifreqtable-1337197489763799401\"\n","       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1337197489763799401\">\n","    \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">S</td>\n","        <td class=\"number\">644</td>\n","        <td class=\"number\">72.3%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">C</td>\n","        <td class=\"number\">168</td>\n","        <td class=\"number\">18.9%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:26%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">Q</td>\n","        <td class=\"number\">77</td>\n","        <td class=\"number\">8.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"missing\">\n","        <td class=\"fillremaining\">(Missing)</td>\n","        <td class=\"number\">2</td>\n","        <td class=\"number\">0.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Fare\">Fare<br/>\n","            <small>Numeric</small>\n","        </p>\n","    </div><div class=\"col-md-6\">\n","    <div class=\"row\">\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","                <tr>\n","                    <th>Distinct count</th>\n","                    <td>248</td>\n","                </tr>\n","                <tr>\n","                    <th>Unique (%)</th>\n","                    <td>27.8%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (n)</th>\n","                    <td>0</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (n)</th>\n","                    <td>0</td>\n","                </tr>\n","            </table>\n","\n","        </div>\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","\n","                <tr>\n","                    <th>Mean</th>\n","                    <td>32.204</td>\n","                </tr>\n","                <tr>\n","                    <th>Minimum</th>\n","                    <td>0</td>\n","                </tr>\n","                <tr>\n","                    <th>Maximum</th>\n","                    <td>512.33</td>\n","                </tr>\n","                <tr class=\"alert\">\n","                    <th>Zeros (%)</th>\n","                    <td>1.7%</td>\n","                </tr>\n","            </table>\n","        </div>\n","    </div>\n","</div>\n","<div class=\"col-md-3 collapse in\" id=\"minihistogram3309140819464124320\">\n","    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAARNJREFUeJzt3bEJAkEQQFEVS7IIezK2J4uwpzUX%2BejCeYe%2Bly9M8hkm2v0YY%2ByAlw5rDwBbdlx7gGeny%2B3jN/freYFJwAaBJBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoGwuX/SZ/hbnaXYIBAEAkEgEAQC4SeO9BkOe97xt4F8w0yEM4S7nP0YY6w9BGyVGwSCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCATCA5JpFJU50JYtAAAAAElFTkSuQmCC\">\n","\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives3309140819464124320,#minihistogram3309140819464124320\"\n","       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"row collapse col-md-12\" id=\"descriptives3309140819464124320\">\n","    <ul class=\"nav nav-tabs\" role=\"tablist\">\n","        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles3309140819464124320\"\n","                                                  aria-controls=\"quantiles3309140819464124320\" role=\"tab\"\n","                                                  data-toggle=\"tab\">Statistics</a></li>\n","        <li role=\"presentation\"><a href=\"#histogram3309140819464124320\" aria-controls=\"histogram3309140819464124320\"\n","                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n","        <li role=\"presentation\"><a href=\"#common3309140819464124320\" aria-controls=\"common3309140819464124320\"\n","                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n","        <li role=\"presentation\"><a href=\"#extreme3309140819464124320\" aria-controls=\"extreme3309140819464124320\"\n","                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n","\n","    </ul>\n","\n","    <div class=\"tab-content\">\n","        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles3309140819464124320\">\n","            <div class=\"col-md-4 col-md-offset-1\">\n","                <p class=\"h4\">Quantile statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Minimum</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>5-th percentile</th>\n","                        <td>7.225</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q1</th>\n","                        <td>7.9104</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Median</th>\n","                        <td>14.454</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q3</th>\n","                        <td>31</td>\n","                    </tr>\n","                    <tr>\n","                        <th>95-th percentile</th>\n","                        <td>112.08</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Maximum</th>\n","                        <td>512.33</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Range</th>\n","                        <td>512.33</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Interquartile range</th>\n","                        <td>23.09</td>\n","                    </tr>\n","                </table>\n","            </div>\n","            <div class=\"col-md-4 col-md-offset-2\">\n","                <p class=\"h4\">Descriptive statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Standard deviation</th>\n","                        <td>49.693</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Coef of variation</th>\n","                        <td>1.5431</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Kurtosis</th>\n","                        <td>33.398</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Mean</th>\n","                        <td>32.204</td>\n","                    </tr>\n","                    <tr>\n","                        <th>MAD</th>\n","                        <td>28.164</td>\n","                    </tr>\n","                    <tr class=\"\">\n","                        <th>Skewness</th>\n","                        <td>4.7873</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Sum</th>\n","                        <td>28694</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Variance</th>\n","                        <td>2469.4</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Memory size</th>\n","                        <td>7.0 KiB</td>\n","                    </tr>\n","                </table>\n","            </div>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram3309140819464124320\">\n","            <img 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RosXL9aiRYvUpUsXLVu2TL169ZIkDR48WI888ojy8vJ04sQJJSYmKj8/X%2BHh4TafFQAACBQh1uW%2BoxvNUlV10vgxnU6H7lr%2BjvHjtpRtebfaPcIFOZ0ORUe3k9td0%2BouZ7cUMjWPTFsGuZrnD5l26tTBltcNyluEAAAAdqJgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAzzu4KVnp6uVatW6dixY3aPAgAAcEn8rmCNGTNGW7du1Z133qlJkyZpx44dOnPmjN1jAQAANJvfFazc3Fxt3bpVr7zyirp3766nnnpKaWlpWrZsmQ4fPmz3eAAAABfkdwXrrD59%2BmjOnDnatWuX5s2bp1deeUUjRozQxIkT9fe//93u8QAAAM7LbwvW6dOntXXrVk2ePFlz5sxR586d9dhjj6l3796aMGGCNm/ebPeIAAAA5%2BS0e4DvOnTokDZs2KCNGzeqpqZGw4cP10svvaQBAwZ4H3PTTTfpiSeeUEZGho2TAgAAnJvfFayRI0eqa9eumjJliu69915FRUU1eUxaWpq%2B/PJLG6YDAAC4ML8rWAUFBRo0aNAFH/fRRx9dgWkAAAAunt%2B9B6tnz56aOnWq3nrrLe/a7373O02ePFkej8fGyQAAAJrH7wrWkiVLdPLkSXXr1s27NmTIEDU2Nmrp0qU2TgYAANA8fneL8N1339XmzZsVHR3tXYuLi9Py5cv1k5/8xMbJAAAAmsfvrmDV1dUpLCysybrD4VBtba0NEwEAAFwcvytYN910k5YuXaqvvvrKu/b5559r0aJFPh/VAAAA4K/87hbhvHnz9POf/1y33HKL2rdvr8bGRtXU1Oi6667T73//e7vHAwAAuCC/K1jXXXed3njjDf3xj3/Up59%2BKofDoa5du%2Bq2225TaGio3eMBAABckN8VLElq06aN7rzzTrvHAAAAuCR%2BV7COHj2qFStW6OOPP1ZdXV2T/bffftuGqQAAAJrP7wrWvHnzVFlZqdtuu01t27a1exwAAICL5ncFq7S0VG%2B//bZiYmLsHgUAAOCS%2BN3HNHTs2JErVwAAIKD5XcGaMmWKVq1aJcuy7B4FAADgkvjdLcI//vGP%2BvDDD/Xqq6/q2muvlcPh2wFffvllmyYDAABoHr8rWO3bt9fgwYONHvOpp57SSy%2B9pAMHDkiSSkpKtGLFCn3yySf64Q9/qClTpmjUqFHexxcUFGj9%2BvWqqqpSz549NX/%2BfCUkJBidCQAABC%2B/K1hLliwxerx9%2B/bp9ddf9/6%2BsrJS06dP1/z585WRkaEPPvhA06ZNU9euXZWYmKidO3dq5cqVeuGFF9SzZ08VFBRo6tSp2rFjB%2B8NAwAAzeJ378GSpE8%2B%2BUQrV67UY4895l3bs2fPRR%2BnsbFRjz/%2BuCZMmOBd27x5s%2BLi4pSVlaWwsDClpqYqPT1dRUVFkqTCwkJlZmYqKSlJ4eHhmjRpkiRp165dl3dSAACg1fC7K1glJSWaPHmyunbtqiNHjmjJkiU6evSo7r//fv3mN7/RHXfc0exjvfzyywoLC1NGRoZ%2B85vfSJLKysoUHx/v87j4%2BHht27bNuz9ixAjvnsPhUO/eveVyuTRy5MhmvW5lZaWqqqp81pzOtoqNjW327M0RGuqX/fi8nE7/n/dspoGWrT8jU/PItGWQq3mtOVO/K1hPP/20fvGLX%2BiBBx5Q3759JX378wmXLl2q5557rtkF64svvtDKlSub/IBoj8ejzp07%2B6xFRUXJ7XZ79yMjI332IyMjvfvNUVhYqFWrVvms5ebmasaMGc0%2BRjCKjm5n9wjNFhFxld0jBB0yNY9MWwa5mtcaM/W7gvXf//3fWrdunSQpJCTEu3733Xdr3rx5zT7OkiVLlJmZqW7duumzzz67qBku9yMisrOzlZ6e7rPmdLaV211zWcf9rkD7jsD0%2BbeE0FCHIiKuUnV1rRoaGu0eJyiQqXlk2jLI1Tx/yNSub%2B79rmB16NBBdXV1atOmjc96ZWVlk7XzKSkp0Z49e7Rly5Yme9HR0fJ4PD5rbrfb%2B8nx59r3eDzq3r17s88hNja2ye3AqqqTOnOmdf%2BBDaTzb2hoDKh5AwGZmkemLYNczWuNmfrdJZDk5GQ99dRTOnXqlHft8OHDmjNnjm655ZZmHWPTpk06ceKEhg4dqpSUFGVmZkqSUlJS1KNHD5WWlvo8vrS0VElJSZKkhIQElZWVefcaGhpUXl7u3QcAALgQvytYjz32mPbs2aOUlBTV19crOTlZI0aMkMfj0dy5c5t1jLlz52r79u16/fXX9frrrys/P1%2BS9PrrrysjI0MVFRUqKipSfX29iouLVVxcrHHjxkmScnJytHHjRu3du1e1tbVavXq12rRpoyFDhrTUKQMAgCDjd7cIr7nmGm3ZskXFxcU6fPiwwsPD1bVrV916660%2B78n6PpGRkT5vVD9z5oz32JK0Zs0aLV68WIsWLVKXLl20bNky9erVS5I0ePBgPfLII8rLy9OJEyeUmJio/Px8hYeHGz5TAAAQrEIsfujfFVFVddL4MZ1Oh%2B5a/o7x47aUbXm32j3CBTmdDkVHt5PbXdPq3i/QUsjUPDJtGeRqnj9k2qlTB1te1%2B%2BuYKWnp3/vlaq33377Ck4DAABw8fyuYI0YMcKnYDU0NOjw4cNyuVx64IEHbJwMAACgefyuYM2ePfuc69u3b9df/vKXKzwNAADAxfO7f0V4PnfeeafeeOMNu8cAAAC4oIApWOXl5Zf9CesAAABXgt/dIhw/fnyTtdraWh06dEjDhg2zYSIAAICL43cFKy4ursm/IgwLC1NWVpbGjh1r01QAAADN53cFa%2BnSpXaPAAAAcFn8rmBt3Lix2Y%2B99957W3ASAACAS%2BN3BWv%2B/PlqbGxs8ob2kJAQn7WQkBAKFgAA8Et%2BV7BeeOEFrV27VlOnTlXPnj1lWZYOHDig3/72t7rvvvuUkpJi94gAAADfy%2B8K1tKlS5Wfn6/OnTt71wYOHKjrrrtOEydO1JYtW2ycDgAA4ML87nOwjhw5osjIyCbrERERqqiosGEiAACAi%2BN3BatLly5aunSp3G63d626ulorVqzQ9ddfb%2BNkAAAAzeN3twjnzZunWbNmqbCwUO3atZPD4dCpU6cUHh6u5557zu7xAAAALsjvCtZtt92m3bt3q7i4WMePH5dlWercubNuv/12dejQwe7xAAAALsjvCpYkXXXVVbrjjjt0/PhxXXfddXaPAwAAcFH87j1YdXV1mjNnjvr376977rlH0rfvwZo0aZKqq6ttng4AAODC/K5gLVu2TPv27dPy5cvlcPxzvIaGBi1fvtzGyQAAAJrH7wrW9u3b9eyzz%2Bruu%2B/2/tDniIgILVmyRDt27LB5OgAAgAvzu4JVU1OjuLi4JusxMTH6%2Buuvr/xAAAAAF8nvCtb111%2Bvv/zlL5Lk87MH33zzTf3oRz%2ByaywAAIBm87t/Rfizn/1MDz/8sMaMGaPGxka9%2BOKLKi0t1fbt2zV//ny7xwMAALggvytY2dnZcjqdWrdunUJDQ/X888%2Bra9euWr58ue6%2B%2B267xwMAALggvytYX375pcaMGaMxY8bYPQoAAMAl8bv3YN1xxx0%2B770CAAAINH5XsFJSUrRt2za7xwAAALhkfneL8Ic//KF%2B%2BctfKj8/X9dff71%2B8IMf%2BOyvWLHCpskAAACax%2B8K1sGDB/XjH/9YkuR2u22eBgAA4OL5TcGaOXOmnn76af3%2B97/3rj333HPKzc21cSoAAICL5zfvwdq5c2eTtfz8fBsmAQAAuDx%2BU7DO9S8HL%2BdfE%2B7fv18PPPCABgwYoNTUVOXl5amqqkqSVFJSoqysLCUnJ2vkyJHatGmTz3MLCgo0fPhwJScnKycnR6WlpZc8BwAAaH38pmCd/cHOF1prjm%2B%2B%2BUY///nPNWjQIJWUlGjLli06ceKEnnjiCVVWVmr69OkaP368SkpKNH/%2BfC1cuFAul0vSt1fSVq5cqV//%2Btd67733NHToUE2dOpWfgwgAAJrNbwqWSbW1tZo5c6amTJmiNm3aKCYmRnfddZc%2B/vhjbd68WXFxccrKylJYWJhSU1OVnp6uoqIiSVJhYaEyMzOVlJSk8PBwTZo0SZK0a9cuO08JAAAEEL95k7tJkZGRGjt2rPf3n3zyiV577TXdc889KisrU3x8vM/j4%2BPjvZ%2B9VVZWphEjRnj3HA6HevfuLZfLpZEjRzbr9SsrK723I89yOtsqNjb2Uk/pnEJDA6sfO53%2BP%2B/ZTAMtW39GpuaRacsgV/Nac6Z%2BU7BOnz6tWbNmXXDtYj4Hq6KiQsOHD9eZM2c0btw4zZgxQ5MnT1bnzp19HhcVFeX9SAiPx6PIyEif/cjIyIv6yIjCwkKtWrXKZy03N1czZsxo9jGCUXR0O7tHaLaIiKvsHiHokKl5ZNoyyNW81pip3xSsAQMGqLKy8oJrF6NLly5yuVz6xz/%2BoX/7t3/To48%2B2qznXe6P6snOzlZ6errPmtPZVm53zWUd97sC7TsC0%2BffEkJDHYqIuErV1bVqaGi0e5ygQKbmkWnLIFfz/CFTu76595uC9X8//8qkkJAQxcXFaebMmRo/frzS0tLk8Xh8HuN2uxUTEyNJio6ObrLv8XjUvXv3Zr9mbGxsk9uBVVUndeZM6/4DG0jn39DQGFDzBgIyNY9MWwa5mtcaMw2sSyDNVFJSouHDh6ux8Z//Mx2Ob0%2B1b9%2B%2BTT52obS0VElJSZKkhIQElZWVefcaGhpUXl7u3QcAALiQoCxYCQkJOnXqlJYtW6ba2lp9%2BeWXWrlypQYOHKicnBxVVFSoqKhI9fX1Ki4uVnFxscaNGydJysnJ0caNG7V3717V1tZq9erVatOmjYYMGWLvSQEAgIARlAWrQ4cOWrt2rUpLS3XzzTdr5MiR6tChg/7jP/5DHTt21Jo1a7Ru3ToNGDBATz31lJYtW6ZevXpJkgYPHqxHHnlEeXl5GjRokN577z3l5%2BcrPDzc5rMCAACBIsS63Hd0o1mqqk4aP6bT6dBdy98xftyWsi3vVrtHuCCn06Ho6HZyu2ta3fsFWgqZmkemLYNczfOHTDt16mDL6wblFSwAAAA7UbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAsKAtWBUVFcrNzVVKSopSU1M1d%2B5cVVdXS5L27dun%2B%2B67TwMGDNCwYcO0du1an%2Bdu3bpVGRkZ6t%2B/vzIzM/Xuu%2B/acQoAACBABW3Bmjp1qiIiIrRz5069%2Buqr%2Bvjjj/WrX/1KdXV1mjJlim6%2B%2BWa98847evrpp7VmzRrt2LFD0rfla86cOZo9e7b%2B/Oc/a8KECXrooYd0/Phxm88IAAAEiqAsWNXV1UpISNCsWbPUrl07XXPNNRo9erT%2B9re/affu3Tp9%2BrSmTZumtm3bqk%2BfPho7dqwKCwslSUVFRUpLS1NaWprCwsI0atQo9ejRQ5s2bbL5rAAAQKAIyoIVERGhJUuW6Oqrr/auHTt2TLGxsSorK1PPnj0VGhrq3YuPj1dpaakkqaysTPHx8T7Hi4%2BPl8vlujLDAwCAgOe0e4ArweVyad26dVq9erW2bdumiIgIn/2oqCh5PB41NjbK4/EoMjLSZz8yMlIHDx5s9utVVlaqqqrKZ83pbKvY2NhLP4lzCA0NrH7sdPr/vGczDbRs/RmZmkemLYNczWvNmQZ9wfrggw80bdo0zZo1S6mpqdq2bds5HxcSEuL9b8uyLus1CwsLtWrVKp%2B13NxczZgx47KOG%2Biio9vZPUKzRURcZfcIQYdMzSPTlkGu5rXGTIO6YO3cuVO/%2BMUvtHDhQt17772SpJiYGB05csTncR6PR1FRUXI4HIqOjpbH42myHxMT0%2BzXzc7OVnp6us%2Ba09lWbnfNpZ3IeQTadwSmz78lhIY6FBFxlaqra9XQ0Gj3OEGBTM0j05ZBrub5Q6Z2fXMftAXrww8/1Jw5c/TMM8/otttu864nJCToD3/4g86cOSOn89vTd7lcSkpK8u6ffT/WWS6XSyNHjmz2a8fGxja5HVj1DaE0AAAQdElEQVRVdVJnzrTuP7CBdP4NDY0BNW8gIFPzyLRlkKt5rTHTwLoE0kxnzpzRggULNHv2bJ9yJUlpaWlq3769Vq9erdraWn300UfasGGDcnJyJEnjxo3Te%2B%2B9p927d6u%2Bvl4bNmzQkSNHNGrUKDtOBQAABKCgvIK1d%2B9eHTp0SIsXL9bixYt99t588009//zzevzxx5Wfn6%2Brr75aM2fO1JAhQyRJPXr00PLly7VkyRJVVFSoW7duWrNmjTp16mTDmQAAgEAUlAVr4MCBOnDgwPc%2B5g9/%2BMN594YNG6Zhw4aZHgsAALQSQXmLEAAAwE4ULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGBY0Basd955R6mpqZo5c2aTva1btyojI0P9%2B/dXZmam3n33Xe9eY2Ojnn76ad1xxx266aabNHHiRB09evRKjg4AAAJcUBas3/72t1q8eLFuuOGGJnv79u3TnDlzNHv2bP35z3/WhAkT9NBDD%2Bn48eOSpPXr12vz5s3Kz8/Xrl27FBcXp9zcXFmWdaVPAwAABCin3QO0hLCwMG3YsEG//OUvVV9f77NXVFSktLQ0paWlSZJGjRqldevWadOmTXrwwQdVWFioCRMm6MYbb5QkzZw5UykpKfroo4/Ur1%2B/K34uweSe3/zJ7hEuyra8W%2B0eAQAQoIKyYN1///3n3SsrK/OWq7Pi4%2BPlcrlUV1engwcPKj4%2B3rvXvn173XDDDXK5XM0uWJWVlaqqqvJZczrbKjY29iLO4sJCQ4PyAqTfcDrJ14SzX6d8vZpDpi2DXM1rzZkGZcH6Ph6PR5GRkT5rkZGROnjwoL766itZlnXOfbfb3ezXKCws1KpVq3zWcnNzNWPGjEsfHFdcdHQ7u0cIKhERV9k9QtAh05ZBrua1xkxbXcGSdMH3U13u%2B62ys7OVnp7us%2BZ0tpXbXXNZx/2u1vgdwZVk%2Bv9XaxUa6lBExFWqrq5VQ0Oj3eMEBTJtGeRqnj9katc3y62uYEVHR8vj8fiseTwexcTEKCoqSg6H45z7HTt2bPZrxMbGNrkdWFV1UmfO8Ac2kPD/y6yGhkYyNYxMWwa5mtcaM211l0ASEhJUWlrqs%2BZyuZSUlKSwsDB1795dZWVl3r3q6mp9%2Bumn6tu375UeFQAABKhWV7DGjRun9957T7t371Z9fb02bNigI0eOaNSoUZKknJwcFRQU6NChQzp16pSWL1%2Bu3r17KzEx0ebJAQBAoAjKW4Rny9CZM2ckSW%2B99Zakb69U9ejRQ8uXL9eSJUtUUVGhbt26ac2aNerUqZMkafz48aqqqtK//Mu/qKamRikpKU3esA4AAPB9Qiw%2BQfOKqKo6afyYTqdDdy1/x/hx8S0%2BB8sMp9Oh6Oh2crtrWt17MFoKmbYMcjXPHzLt1KmDLa/b6m4RAgAAtDQKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGOa0ewDAX93zmz/ZPcJF2ZZ3q90jAAD%2BF1ewAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMP4HCwAVxyfMQYg2HEF6xwqKir04IMPKiUlRUOHDtWyZcvU2Nho91gAACBAcAXrHB5%2B%2BGH16dNHb731lk6cOKEpU6bo6quv1r/%2B67/aPRoAAAgAFKzvcLlc2r9/v1588UV16NBBHTp00IQJE/TSSy9RsIBWiluaAC4WBes7ysrK1KVLF0VGRnrX%2BvTpo8OHD%2BvUqVNq3779BY9RWVmpqqoqnzWns61iY2ONzhoayh1e/FOglQC0HKeTvxsuxdm/U4Pp79a7lr9j9wjN9v9m3273CEZRsL7D4/EoIiLCZ%2B1s2XK73c0qWIWFhVq1apXP2kMPPaSHH37Y3KD6tsg9cM3Hys7ONl7eWqvKykoVFhaSqUFkah6ZtozKykq99NILQZXr3355t62v35q/VoOnphtkWdZlPT87O1uvvvqqz6/s7GxD0/1TVVWVVq1a1eRqGS4dmZpHpuaRacsgV/Nac6ZcwfqOmJgYeTwenzWPx6OQkBDFxMQ06xixsbGtrqkDAIB/4grWdyQkJOjYsWP68ssvvWsul0vdunVTu3btbJwMAAAECgrWd8THxysxMVErVqzQqVOndOjQIb344ovKycmxezQAABAgQp944okn7B7C39x%2B%2B%2B3asmWLnnzySb3xxhvKysrSxIkTFRISYvdoTbRr106DBg3i6ppBZGoemZpHpi2DXM1rrZmGWJf7jm4AAAD44BYhAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEUrABUUVGhBx98UCkpKRo6dKiWLVumxsZGu8fye%2B%2B8845SU1M1c%2BbMJntbt25VRkaG%2Bvfvr8zMTL377rvevcbGRj399NO64447dNNNN2nixIk6evTolRzdb1VUVCg3N1cpKSlKTU3V3LlzVV1dLUnat2%2Bf7rvvPg0YMEDDhg3T2rVrfZ77fZm3Zvv379cDDzygAQMGKDU1VXl5eaqqqpIklZSUKCsrS8nJyRo5cqQ2bdrk89yCggINHz5cycnJysnJUWlpqR2n4Neeeuop9ezZ0/t7Mr10PXv2VEJCghITE72/nnzySUnkKkmyEHBGjx5tLViwwKqurrYOHz5sDRs2zFq7dq3dY/m1/Px8a9iwYdb48eOtvLw8n73y8nIrISHB2r17t1VXV2e9/vrrVlJSknXs2DHLsiyroKDAGjp0qHXw4EHr5MmT1r//%2B79bGRkZVmNjox2n4ld%2B8pOfWHPnzrVOnTplHTt2zMrMzLTmzZtn1dbWWrfffru1cuVKq6amxiotLbUGDRpkbd%2B%2B3bKsC2feWtXX11u33HKLtWrVKqu%2Bvt46ceKEdd9991nTp0%2B3Pv/8c6tfv35WUVGRVVdXZ/3pT3%2By%2Bvbta/3973%2B3LMuy3n77bWvgwIHW3r17rdraWmvNmjXWrbfeatXU1Nh8Vv6jvLzcGjRokNWjRw/LsiwyvUw9evSwjh492mSdXL/FFawA43K5tH//fs2ePVsdOnRQXFycJkyYoMLCQrtH82thYWHasGGDbrjhhiZ7RUVFSktLU1pamsLCwjRq1Cj16NHD%2Bx1XYWGhJkyYoBtvvFHt27fXzJkzdejQIX300UdX%2BjT8SnV1tRISEjRr1iy1a9dO11xzjUaPHq2//e1v2r17t06fPq1p06apbdu26tOnj8aOHev9Or1Q5q1VbW2tZs6cqSlTpqhNmzaKiYnRXXfdpY8//libN29WXFycsrKyFBYWptTUVKWnp6uoqEjSt1%2BnmZmZSkpKUnh4uCZNmiRJ2rVrl52n5DcaGxv1%2BOOPa8KECd41Mm0Z5PotClaAKSsrU5cuXRQZGeld69Onjw4fPqxTp07ZOJl/u//%2B%2B9WhQ4dz7pWVlSk%2BPt5nLT4%2BXi6XS3V1dTp48KDPfvv27XXDDTfI5XK16Mz%2BLiIiQkuWLNHVV1/tXTt27JhiY2NVVlamnj17KjQ01LsXHx/vvQ3wfZm3ZpGRkRo7dqycTqck6ZNPPtFrr72me%2B6557yZnS9Th8Oh3r17t/pMz3r55ZcVFhamjIwM7xqZXr4VK1ZoyJAhGjhwoBYuXKiamhpy/V8UrADj8XgUERHhs3a2bLndbjtGCngej8ensErfZup2u/XVV1/Jsqzz7uOfXC6X1q1bp2nTpp3z6zQqKkoej0eNjY3fmzm%2BfW9bQkKCRowYocTERM2YMeO8mZ7NjEzP74svvtDKlSv1%2BOOP%2B6yT6eXp16%2BfUlNTtWPHDhUWFmrv3r1atGgRuf4vClYAsizL7hGCzoUyJfPv98EHH2jixImaNWuWUlNTz/u4kJAQ73%2BT6fl16dJFLpdLb775po4cOaJHH320Wc8j03NbsmSJMjMz1a1bt4t%2BLpmeX2FhocaOHas2bdroxhtv1OzZs7VlyxadPn36gs9tDblSsAJMTEyMPB6Pz5rH41FISIhiYmJsmiqwRUdHnzPTmJgYRUVFyeFwnHO/Y8eOV3JMv7Vz5049%2BOCDmjdvnu6//35J336dfve7UY/H483z%2BzLHt0JCQhQXF6eZM2dqy5YtcjqdTTJzu93ezMj03EpKSrRnzx7l5uY22TtXZmR66a699lo1NDSc8%2B/M1pgrBSvAJCQk6NixY/ryyy%2B9ay6XS926dVO7du1snCxwJSQkNPknwi6XS0lJSQoLC1P37t1VVlbm3auurtann36qvn37XulR/c6HH36oOXPm6JlnntG9997rXU9ISNCBAwd05swZ79rZTM/uny/z1qykpETDhw/3%2BdgVh%2BPbv6b79u3bJLPS0lKfTP/v12lDQ4PKy8tbfaabNm3SiRMnNHToUKWkpCgzM1OSlJKSoh49epDpJSovL9fSpUt91g4dOqQ2bdooLS2NXCU%2BpiEQjR071po3b5518uRJ6%2BDBg1Z6erq1bt06u8cKCHPmzGnyMQ0HDhywEhMTrV27dll1dXVWUVGR1b9/f6uystKyLMv6z//8T2vIkCHej2lYuHChNWbMGDvG9yunT5%2B27rnnHuvll19usldfX28NHTrUevbZZ62vv/7a2rt3rzVw4EBr165dlmVdOPPWqrq62kpNTbWWLl1qff3119aJEyesiRMnWj/72c%2BsL774wurfv7/1yiuvWHV1ddbu3butvn37Wvv27bMsy7KKi4utAQMGWHv27LG%2B/vpra%2BXKlVZaWppVW1tr81nZy%2BPxWMeOHfP%2B2rNnj9WjRw/r2LFjVkVFBZleouPHj1v9%2BvWz1qxZY9XX11uffPKJNWLECOvJJ5/ka/V/UbAC0LFjx6xJkyZZffv2tVJTU61nn32Wz2S6gISEBCshIcHq1auX1atXL%2B/vz9q%2Bfbs1bNgwq0%2BfPtZPf/pT6/333/fuNTY2Ws8884x1yy23WH379rUmT57c6j%2BvybIs669//avVo0cPb5b/99dnn31mHThwwBo/fryVkJBgDRkyxFq/fr3P878v89Zs//791n333Wf17dvXuvnmm628vDzr%2BPHjlmVZ1vvvv2%2BNGjXK6tOnjzVs2DDv54qdtX79eistLc1KSEiwcnJyrAMHDthxCn7t6NGj3s/BsiwyvRzvv/%2B%2BlZ2dbfXr188aNGiQtWTJEquurs6719pzDbGsVvBOMwAAgCuI92ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGH/H7aZdVOxsWZ2AAAAAElFTkSuQmCC\"/>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common3309140819464124320\">\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">8.05</td>\n","        <td class=\"number\">43</td>\n","        <td class=\"number\">4.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">13.0</td>\n","        <td class=\"number\">42</td>\n","        <td class=\"number\">4.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">7.8958</td>\n","        <td class=\"number\">38</td>\n","        <td class=\"number\">4.3%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">7.75</td>\n","        <td class=\"number\">34</td>\n","        <td class=\"number\">3.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:6%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">26.0</td>\n","        <td class=\"number\">31</td>\n","        <td class=\"number\">3.5%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">10.5</td>\n","        <td class=\"number\">24</td>\n","        <td class=\"number\">2.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:4%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">7.925</td>\n","        <td class=\"number\">18</td>\n","        <td class=\"number\">2.0%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">7.775</td>\n","        <td class=\"number\">16</td>\n","        <td class=\"number\">1.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">26.55</td>\n","        <td class=\"number\">15</td>\n","        <td class=\"number\">1.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">0.0</td>\n","        <td class=\"number\">15</td>\n","        <td class=\"number\">1.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"other\">\n","        <td class=\"fillremaining\">Other values (238)</td>\n","        <td class=\"number\">615</td>\n","        <td class=\"number\">69.0%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme3309140819464124320\">\n","            <p class=\"h4\">Minimum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">0.0</td>\n","        <td class=\"number\">15</td>\n","        <td class=\"number\">1.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">4.0125</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">5.0</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">6.2375</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">6.4375</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","            <p class=\"h4\">Maximum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">227.525</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">247.5208</td>\n","        <td class=\"number\">2</td>\n","        <td class=\"number\">0.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">262.375</td>\n","        <td class=\"number\">2</td>\n","        <td class=\"number\">0.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:50%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">263.0</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">512.3292</td>\n","        <td class=\"number\">3</td>\n","        <td class=\"number\">0.3%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:75%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","    </div>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Name\">Name<br/>\n","            <small>Categorical, Unique</small>\n","        </p>\n","    </div><div class=\"col-md-3 collapse in\" id=\"minivalues-2172881833273901740\"><table border=\"1\" class=\"dataframe example_values\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th>First 3 values</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>Hale, Mr. Reginald</td>\n","    </tr>\n","    <tr>\n","      <td>Hosono, Mr. Masabumi</td>\n","    </tr>\n","    <tr>\n","      <td>Carrau, Mr. Francisco M</td>\n","    </tr>\n","  </tbody>\n","</table></div>\n","<div class=\"col-md-6 collapse in\" id=\"minivalues-2172881833273901740\"><table border=\"1\" class=\"dataframe example_values\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th>Last 3 values</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <td>Sunderland, Mr. Victor Francis</td>\n","    </tr>\n","    <tr>\n","      <td>Lindblom, Miss. Augusta Charlotta</td>\n","    </tr>\n","    <tr>\n","      <td>Lindell, Mr. Edvard Bengtsson</td>\n","    </tr>\n","  </tbody>\n","</table></div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#values-2172881833273901740,#minivalues-2172881833273901740\" aria-expanded=\"false\"\n","       aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"col-md-12 collapse\" id=\"values-2172881833273901740\">\n","    <p class=\"h4\">First 10 values</p>\n","    \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">Abbing, Mr. Anthony</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">Abbott, Mr. Rossmore Edward</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">Abbott, Mrs. Stanton (Rosa Hunt)</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">Abelson, Mr. Samuel</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">Abelson, Mrs. Samuel (Hannah Wizosky)</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","    <p class=\"h4\">Last 10 values</p>\n","    \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">de Mulder, Mr. Theodore</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">de Pelsmaeker, Mr. Alfons</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">del Carlo, Mr. Sebastiano</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">van Billiard, Mr. Austin Blyler</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">van Melkebeke, Mr. Philemon</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Parch\">Parch<br/>\n","            <small>Numeric</small>\n","        </p>\n","    </div><div class=\"col-md-6\">\n","    <div class=\"row\">\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","                <tr>\n","                    <th>Distinct count</th>\n","                    <td>7</td>\n","                </tr>\n","                <tr>\n","                    <th>Unique (%)</th>\n","                    <td>0.8%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (n)</th>\n","                    <td>0</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (n)</th>\n","                    <td>0</td>\n","                </tr>\n","            </table>\n","\n","        </div>\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","\n","                <tr>\n","                    <th>Mean</th>\n","                    <td>0.38159</td>\n","                </tr>\n","                <tr>\n","                    <th>Minimum</th>\n","                    <td>0</td>\n","                </tr>\n","                <tr>\n","                    <th>Maximum</th>\n","                    <td>6</td>\n","                </tr>\n","                <tr class=\"alert\">\n","                    <th>Zeros (%)</th>\n","                    <td>76.1%</td>\n","                </tr>\n","            </table>\n","        </div>\n","    </div>\n","</div>\n","<div class=\"col-md-3 collapse in\" id=\"minihistogram-1386322969748148097\">\n","    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAARtJREFUeJzt3cEJwkAQQFEjlmQR9uTZnizCnta7yIcEYqK%2Bd1%2BYy2eSvew0xhgH4K3j1gPAnp22HuDV%2BXqffeZxu6wwCdggkAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCYXfPQC/h6WjWYoNA%2BIkN8ilzN5Ut9f1sEAgCgSAQCAKB4Cd9Z5ZcWc%2B15PLgX6/SpzHG2HoI2CufWBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBCeJpIXlS2QVCEAAAAASUVORK5CYII%3D\">\n","\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-1386322969748148097,#minihistogram-1386322969748148097\"\n","       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"row collapse col-md-12\" id=\"descriptives-1386322969748148097\">\n","    <ul class=\"nav nav-tabs\" role=\"tablist\">\n","        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-1386322969748148097\"\n","                                                  aria-controls=\"quantiles-1386322969748148097\" role=\"tab\"\n","                                                  data-toggle=\"tab\">Statistics</a></li>\n","        <li role=\"presentation\"><a href=\"#histogram-1386322969748148097\" aria-controls=\"histogram-1386322969748148097\"\n","                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n","        <li role=\"presentation\"><a href=\"#common-1386322969748148097\" aria-controls=\"common-1386322969748148097\"\n","                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n","        <li role=\"presentation\"><a href=\"#extreme-1386322969748148097\" aria-controls=\"extreme-1386322969748148097\"\n","                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n","\n","    </ul>\n","\n","    <div class=\"tab-content\">\n","        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-1386322969748148097\">\n","            <div class=\"col-md-4 col-md-offset-1\">\n","                <p class=\"h4\">Quantile statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Minimum</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>5-th percentile</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q1</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Median</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q3</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>95-th percentile</th>\n","                        <td>2</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Maximum</th>\n","                        <td>6</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Range</th>\n","                        <td>6</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Interquartile range</th>\n","                        <td>0</td>\n","                    </tr>\n","                </table>\n","            </div>\n","            <div class=\"col-md-4 col-md-offset-2\">\n","                <p class=\"h4\">Descriptive statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Standard deviation</th>\n","                        <td>0.80606</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Coef of variation</th>\n","                        <td>2.1123</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Kurtosis</th>\n","                        <td>9.7781</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Mean</th>\n","                        <td>0.38159</td>\n","                    </tr>\n","                    <tr>\n","                        <th>MAD</th>\n","                        <td>0.58074</td>\n","                    </tr>\n","                    <tr class=\"\">\n","                        <th>Skewness</th>\n","                        <td>2.7491</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Sum</th>\n","                        <td>340</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Variance</th>\n","                        <td>0.64973</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Memory size</th>\n","                        <td>7.0 KiB</td>\n","                    </tr>\n","                </table>\n","            </div>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-1386322969748148097\">\n","            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X9YlXWe//EXcAIUBMEEd%2BgHlUYSDIUaDTmi9IOS1U1DkXa23LLUSFfUSfPHlldOWug2rXSZ1GZRXdsZvBpFS/NqMKZWmp1%2B2BzQ3DJrks0g5EQa/uDH94%2B%2BntkjxY3y0fucw/NxXVyTn/uc%2B37fr6R5ed%2B3h6COjo4OAQAAwJhguwcAAAAINBQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGCYw%2B4BeouGhu%2BM7zM4OEixsRE6dOiI2ts7jO8/EJBR18jHGhlZI6OukY%2B1s5nRwIH9jO6vuwLyCtaf//xnpaamen2lpKQoKSlJklRdXa28vDylp6crNzdXFRUVXu8vKytTTk6O0tPTVVBQoJqaGjtOw1JwcJCCgoIUHBxk9yg%2Bi4y6Rj7WyMgaGXWNfKwFYkYBeQVrxIgRcrlcXmtPP/20Pv74Y9XX1%2Bu%2B%2B%2B7T4sWLNW7cOL3//vuaOXOmLrnkEqWmpqqyslJr1qzRs88%2Bq6SkJJWVlWnGjBnavn27%2Bvbta9MZAQAAfxKQV7BO9b//%2B79av369HnjgAW3evFmJiYnKy8tTWFiYMjMzlZ2drfLyckmS0%2BnUxIkTlZaWpvDwcE2bNk2StGPHDjtPAQAA%2BJGAvIJ1qieffFK33Xabfvazn6m2tlbJycle25OTk7V161ZJUm1trcaOHevZFhwcrKFDh8rlcik3N7dbx6uvr1dDQ4PXmsPRV3FxcT08E28hIcFe/4vOyKhr5GONjKyRUdfIx1ogZhTwBevAgQPavn27tm/fLklyu92Kj4/3ek3//v3V1NTk2R4dHe21PTo62rO9O5xOp0pKSrzWCgsLNXv27DM5BUtRUX3Oyn4DCRl1jXyskZE1Muoa%2BVgLpIwCvmC9/PLLuummmzRw4MBuv6ejo2d/gyE/P1/Z2dleaw5HXzU1HenRfk8VEhKsqKg%2Bam5uUVtbu9F9Bwoy6hr5WCMja2TUNfKxdjYziomJMLq/7gr4gvXGG29owYIFnl/HxMTI7XZ7vaapqUmxsbE/ud3tdmvIkCHdPmZcXFyn24ENDd%2BptfXsfGO1tbWftX0HCjLqGvlYIyNrZNQ18rEWSBkFzs3OH7Fnzx7V1dXpuuuu86ylpqZ2%2BtiFmpoapaWlSZJSUlJUW1vr2dbW1qbdu3d7tgMAAFgJ6IK1e/du9e/fX5GRkZ61cePGqa6uTuXl5Tp27JiqqqpUVVWlyZMnS5IKCgq0ceNG7dq1Sy0tLVq7dq1CQ0M1evRom84CAAD4m4C%2BRfjNN990evZqwIABWrdunZYvX65ly5YpISFBxcXFuuKKKyRJo0aN0ty5czVnzhw1NjYqNTVVpaWlCg8Pt%2BMUAACAHwrq6OkT3eiWs/GjchyOYMXERKip6UjA3LM2jYy6Rj7WyMgaGXWNfKydzYz4UTkAAAABgoIFAABgGAULAADAsIB%2ByL03GL54m90jdNvWOddZvwgAgADAFSwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgWEAXrLVr12rkyJG66qqrNHXqVB04cECSVF1drby8PKWnpys3N1cVFRVe7ysrK1NOTo7S09NVUFCgmpoaO8YHAAB%2BKmAL1ssvv6yKigqVlZXpnXfe0eDBg/X888%2Brvr5e9913n6ZMmaLq6motXrxYS5culcvlkiRVVlZqzZo1evzxx7Vz506NGTNGM2bM0Pfff2/zGQEAAH8RsAXrueeeU1FRkS699FJFRkZqyZIlWrJkiTZv3qzExETl5eUpLCxMmZmZys7OVnl5uSTJ6XRq4sSJSktLU3h4uKZNmyZJ2rFjh52nAwAA/IjD7gHOhq%2B//loHDhzQt99%2Bq7Fjx6qxsVEZGRl6%2BOGHVVtbq%2BTkZK/XJycna%2BvWrZKk2tpajR071rMtODhYQ4cOlcvlUm5ubreOX19fr4aGBq81h6Ov4uLienhm3kJC/KsfOxznft6TGflbVucK%2BVgjI2tk1DXysRaIGQVkwTp48KAkadu2bVq/fr06Ojo0e/ZsLVmyREePHlV8fLzX6/v376%2BmpiZJktvtVnR0tNf26Ohoz/bucDqdKikp8VorLCzU7Nmzz%2BR0AkZMTIRtx46K6mPbsf0B%2BVgjI2tk1DXysRZIGQVkwero6JAkTZs2zVOmZs2apXvuuUeZmZndfv%2BZys/PV3Z2tteaw9FXTU1HerTfU/lb0zd9/t0REhKsqKg%2Bam5uUVtb%2Bzk/vq8jH2tkZI2MukY%2B1s5mRnb94T4gC9b5558vSYqKivKsJSQkqKOjQydOnJDb7fZ6fVNTk2JjYyVJMTExnba73W4NGTKk28ePi4vrdDuwoeE7tbb27m8sO8%2B/ra291%2BffFfKxRkbWyKhr5GMtkDLyr0sg3TRo0CBFRkZqz549nrW6ujqdd955ysrK6vSxCzU1NUpLS5MkpaSkqLa21rOtra1Nu3fv9mwHAACwEpAFy%2BFwKC8vT08//bS%2B%2BOILNTY26qmnntK4ceM0YcIE1dXVqby8XMeOHVNVVZWqqqo0efJkSVJBQYE2btyoXbt2qaWlRWvXrlVoaKhGjx5t70kBAAC/EZC3CCVp3rx5On78uCZNmqQTJ04oJydHS5YsUUREhNatW6fly5dr2bJlSkhIUHFxsa644gpJ0qhRozR37lzNmTNHjY2NSk1NVWlpqcLDw20%2BIwAA4C%2BCOnr6RDe6paHhO%2BP7dDiCdeOqt43v92zZOue6c35MhyNYMTERamo6EjD39U0iH2tkZI2MukY%2B1s5mRgMH9jO6v%2B4KyFuEAAAAdqJgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABgWsAUrKSlJKSkpSk1N9Xw98sgjkqTq6mrl5eUpPT1dubm5qqio8HpvWVmZcnJylJ6eroKCAtXU1NhxCgAAwE857B7gbNq2bZsuuOACr7X6%2Bnrdd999Wrx4scaNG6f3339fM2fO1CWXXKLU1FRVVlZqzZo1evbZZ5WUlKSysjLNmDFD27dvV9%2B%2BfW06EwAA4E8C9grWT9m8ebMSExOVl5ensLAwZWZmKjs7W%2BXl5ZIkp9OpiRMnKi0tTeHh4Zo2bZokaceOHXaODQAA/EhAX8FavXq1PvzwQx0%2BfFi33HKLFi5cqNraWiUnJ3u9Ljk5WVu3bpUk1dbWauzYsZ5twcHBGjp0qFwul3Jzc7t13Pr6ejU0NHitORx9FRcX18Mz8hYS4l/92OE49/OezMjfsjpXyMcaGVkjo66Rj7VAzChgC9ZVV12lzMxMPfbYY/ryyy81Z84cLVu2TG63W/Hx8V6v7d%2B/v5qamiRJbrdb0dHRXtujo6M927vD6XSqpKTEa62wsFCzZ88%2Bw7MJDDExEbYdOyqqj23H9gfkY42MrJFR18jHWiBlFLAFy%2Bl0ev75sssu0/z58zVz5kwNGzbM8r0dHR09OnZ%2Bfr6ys7O91hyOvmpqOtKj/Z7K35q%2B6fPvjpCQYEVF9VFzc4va2trP%2BfF9HflYIyNrZNQ18rF2NjOy6w/3AVuwTnXBBReora1NwcHBcrvdXtuampoUGxsrSYqJiem03e12a8iQId0%2BVlxcXKfbgQ0N36m1tXd/Y9l5/m1t7b0%2B/66QjzUyskZGXSMfa4GUkX9dAumm3bt3a%2BXKlV5r%2B/btU2hoqLKysjp97EJNTY3S0tIkSSkpKaqtrfVsa2tr0%2B7duz3bAQAArARkwRowYICcTqdKS0t1/Phx7d%2B/X08%2B%2BaTy8/P1D//wD6qrq1N5ebmOHTumqqoqVVVVafLkyZKkgoICbdy4Ubt27VJLS4vWrl2r0NBQjR492t6TAgAAfiMgbxHGx8ertLRUq1ev9hSkCRMmqKioSGFhYVq3bp2WL1%2BuZcuWKSEhQcXFxbriiiskSaNGjdLcuXM1Z84cNTY2KjU1VaWlpQoPD7f5rAAAgL8I6ujpE93oloaG74zv0%2BEI1o2r3ja%2B37Nl65zrzvkxHY5gxcREqKnpSMDc1zeJfKyRkTUy6hr5WDubGQ0c2M/o/rorIG8RAgAA2ImCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMMznClZ2drZKSkr01Vdf2T0KAADAGfG5gnXbbbfp9ddf1w033KBp06Zp%2B/btam1ttXssAACAbvO5glVYWKjXX39dv/vd7zRkyBA9%2BuijysrKUnFxsfbv32/3eAAAAJZ8rmCddOWVV2rBggXasWOHFi1apN/97ncaO3as7r77bv3lL3%2BxezwAAICf5LMF68SJE3r99dd1zz33aMGCBYqPj9eDDz6ooUOHaurUqdq8ebPdIwIAAPwoh90DnGrfvn3asGGDNm7cqCNHjignJ0cvvPCChg0b5nnNiBEj9PDDD2vcuHE2TgoAAPDjfK5g5ebm6pJLLtH06dN16623qn///p1ek5WVpUOHDtkwHQAAgDWfK1hlZWW65pprLF/30UcfnYNpAAAATp/PPYOVlJSkGTNm6M033/SsPf/887rnnnvkdrttnAwAAKB7fK5grVixQt99950GDx7sWRs9erTa29u1cuXKM9rno48%2BqqSkJM%2Bvq6urlZeXp/T0dOXm5qqiosLr9WVlZcrJyVF6eroKCgpUU1NzZicDAAB6JZ8rWO%2B8845KSkqUmJjoWUtMTNSqVav09ttvn/b%2B9uzZo02bNnl%2BXV9fr/vuu09TpkxRdXW1Fi9erKVLl8rlckmSKisrtWbNGj3%2B%2BOPauXOnxowZoxkzZuj777/v8bkBAIDewecK1tGjRxUWFtZpPTg4WC0tLae1r/b2dj300EOaOnWqZ23z5s1KTExUXl6ewsLClJmZqezsbJWXl0uSnE6nJk6cqLS0NIWHh2vatGmSpB07dpz5SQEAgF7F5x5yHzFihFauXKl58%2BYpOjpakvT111/rscce8/qohu545ZVXFBYWpnHjxum3v/2tJKm2tlbJycler0tOTtbWrVs928eOHevZFhwcrKFDh8rlcik3N7dbx62vr1dDQ4PXmsPRV3Fxcac1v5WQEJ/rx11yOM79vCcz8reszhXysUZG1sioa%2BRjLRAz8rmCtWjRIt111136xS9%2BocjISLW3t%2BvIkSO68MIL9eKLL3Z7P998843WrFnT6T1ut1vx8fFea/3791dTU5Nn%2B8lid1J0dLRne3c4nU6VlJR4rRUWFmr27Nnd3kcgiomJsO3YUVF9bDu2PyAfa2RkjYy6Rj7WAikjnytYF154oV577TX98Y9/1F//%2BlcFBwfrkksu0ciRIxUSEtLt/axYsUITJ07U4MGDdeDAgdOaoaOj43TH9pKfn6/s7GyvNYejr5qajvRov6fyt6Zv%2Bvy7IyQkWFFRfdTc3KK2tvZzfnxfRz7WyMgaGXWNfKydzYzs%2BsO9zxUsSQoNDdUNN9xwxu%2Bvrq7Whx9%2BqC1btnTaFhMT0%2BnjHpqamhQbG/uT291ut4YMGdLt48fFxXW6HdjQ8J1aW3v3N5ad59/W1t7r8%2B8K%2BVgjI2tk1DXysRZIGflcwfryyy%2B1evVqffLJJzp69Gin7X/4wx8s91FRUaHGxkaNGTNG0t%2BuSGVkZOiuu%2B7qVLxqamqUlpYmSUpJSVFtba0mTJggSWpra9Pu3buVl5fXo/MCAAC9h88VrEWLFqm%2Bvl4jR45U3759z2gfCxcu1L/8y794fn3w4EHl5%2Bdr06ZNam9v17p161ReXq7x48fr3XffVVVVlZxOpySpoKBAc%2BfO1d///d8rKSlJ//Ef/6HQ0FCNHj3axOkBAIBewOcKVk1Njf7whz94btmdiejoaK8H1VtbWyVJgwYNkiStW7dOy5cv17Jly5SQkKDi4mJdccUVkqRRo0Zp7ty5mjNnjhobG5WamqrS0lKFh4f34KwAAEBv4nMFa8CAAWd85eqnXHDBBdq7d6/n1yNGjPD68NFT3X777br99tuNzgAAAHoPn/traNOnT1dJSUmP/yYfAACAXXzuCtYf//hHffDBB3r11Vd1wQUXKDjYuwO%2B8sorNk0GAADQPT5XsCIjIzVq1Ci7xwAAADhjPlewVqxYYfcIAAAAPeJzz2BJ0meffaY1a9bowQcf9Kx9%2BOGHNk4EAADQfT5XsKqrqzV%2B/Hht377d84GgX375pe64445ufcgoAACA3XyuYD3xxBP69a9/rc2bNysoKEjSDz%2BfcOXKlXrqqadsng4AAMCazxWs//mf/1FBQYEkeQqWJN18883at2%2BfXWMBAAB0m88VrH79%2Bv3ozyCsr69XaGioDRMBAACcHp8rWOnp6Xr00Ud1%2BPBhz9r%2B/fu1YMEC/eIXv7BxMgAAgO7xuY9pePDBB3XnnXcqIyNDbW1tSk9PV0tLi4YMGaKVK1faPR4AAIAlnytYgwYN0pYtW1RVVaX9%2B/crPDxcl1xyia677jqvZ7IAAAB8lc8VLEk677zzdMMNN9g9BgAAwBnxuYKVnZ3d5ZUqPgsLAAD4Op8rWGPHjvUqWG1tbdq/f79cLpfuvPNOGycDAADoHp8rWPPnz//R9TfeeEN/%2BtOfzvE0AAAAp8/nPqbhp9xwww167bXX7B4DAADAkt8UrN27d6ujo8PuMQAAACz53C3CKVOmdFpraWnRvn37dNNNN9kwEQAAwOnxuYKVmJjY6W8RhoWFKS8vT5MmTbJpKgAAgO7zuYLFp7UDAAB/53MFa%2BPGjd1%2B7a233noWJwEAADgzPlewFi9erPb29k4PtAcFBXmtBQUFUbAAAIBP8rmC9eyzz%2Bq5557TjBkzlJSUpI6ODu3du1fPPPOMfvWrXykjI8PuEQEAALrkcwVr5cqVKi0tVXx8vGdt%2BPDhuvDCC3X33Xdry5YtNk4HAABgzec%2BB%2Bvzzz9XdHR0p/WoqCjV1dXZMBEAAMDp8bmClZCQoJUrV6qpqcmz1tzcrNWrV%2Buiiy6ycTIAAIDu8blbhIsWLdK8efPkdDoVERGh4OBgHT58WOHh4XrqqafsHg8AAMCSzxWskSNH6q233lJVVZUOHjyojo4OxcfH65e//KX69etn93gAAACWfK5gSVKfPn10/fXX6%2BDBg7rwwgvtHgcAAOC0%2BNwzWEePHtWCBQt09dVX65ZbbpH0wzNY06ZNU3Nzs83TAQAAWPO5glVcXKw9e/Zo1apVCg7%2B23htbW1atWqVjZMBAAB0j88VrDfeeEP//u//rptvvtnzQ5%2BjoqK0YsUKbd%2B%2B3ebpAAAArPlcwTpy5IgSExM7rcfGxur7778/9wMBAACcJp8rWBdddJH%2B9Kc/SZLXzx7ctm2bfvazn3V7Px9//LHuvPNODRs2TJmZmZozZ44aGhokSdXV1crLy1N6erpyc3NVUVHh9d6ysjLl5OQoPT1dBQUFqqmpMXBmAACgt/C5gnX77bdr1qxZeuyxx9Te3q7169dr3rx5WrRoke68885u7eP48eO66667dM0116i6ulpbtmxRY2OjHn74YdXX1%2Bu%2B%2B%2B7TlClTVF1drcWLF2vp0qVyuVySpMrKSq1Zs0aPP/64du7cqTFjxmjGjBlcPQMAAN3mcwUrPz9fCxYs0LvvvquQkBA9/fTTqqur06pVq1RQUNCtfbS0tKioqEjTp09XaGioYmNjdeONN%2BqTTz7R5s2blZiYqLy8PIWFhSkzM1PZ2dkqLy%2BXJDmdTk2cOFFpaWkKDw/XtGnTJEk7duw4a%2BcMAAACi899DtahQ4d022236bbbbjvjfURHR2vSpEmeX3/22Wf6/e9/r1tuuUW1tbVKTk72en1ycrK2bt0qSaqtrdXYsWM924KDgzV06FC5XC7l5uZ26/j19fWe25EnORx9FRcXd6an9KNCQnyuH3fJ4Tj3857MyN%2ByOlfIxxoZWSOjrpGPtUDMyOcK1vXXX68PPvjA8zcIe6Kurk45OTlqbW3V5MmTNXv2bN1zzz2Kj4/3el3//v09P/vQ7XZ3%2BmHT0dHRXj8b0YrT6VRJSYnXWmFhoWbPnn2GZxIYYmIibDt2VFQf247tD8jHGhlZI6OukY%2B1QMrI5wpWRkaGtm7d6nUV6UwlJCTI5XLpiy%2B%2B0L/%2B67/qgQce6Nb7/u/D9WciPz9f2dnZXmsOR181NR3p0X5P5W9N3/T5d0dISLCiovqoublFbW3t5/z4vo58rJGRNTLqGvlYO5sZ2fWHe58rWH/3d3%2Bn3/zmNyotLdVFF12k8847z2v76tWrT2t/QUFBSkxMVFFRkaZMmaKsrCy53W6v1zQ1NSk2NlaSFBMT02m72%2B3WkCFDun3MuLi4TrcDGxq%2BU2tr7/7GsvP829rae33%2BXSEfa2RkjYy6Rj7WAikjn7sE8umnn%2BrSSy9Vv3791NTUpPr6eq%2Bv7qiurlZOTo7a2//2L%2Bnkp8L//Oc/7/SxCzU1NUpLS5MkpaSkqLa21rOtra1Nu3fv9mwHAACw4jMFq6ioSJL04osver6uvfZar1%2B/%2BOKL3dpXSkqKDh8%2BrOLiYrW0tOjQoUNas2aNhg8froKCAtXV1am8vFzHjh1TVVWVqqqqNHnyZElSQUGBNm7cqF27dqmlpUVr165VaGioRo8efbZOHQAABBifKViVlZWd1kpLS89oX/369dNzzz2nmpoaXXvttcrNzVW/fv30b//2bxowYIDWrVunl156ScOGDdOjjz6q4uJiXXHFFZKkUaNGae7cuZozZ46uueYa7dy5U6WlpQoPD%2B/R%2BQEAgN7DZ57B%2BrEHy3vysHlSUtJPXvEaMWKENm3a9JPvvf3223X77bef8bEBAEDv5jNXsH7sYxlMfFQDAADAueYzBQsAACBQULAAAAAM85lnsE6cOKF58%2BZZrp3u52ABAACcaz5TsIYNG9bpc65%2BbA0AAMDX%2BUzB6u5nXAEAAPg6nsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYQFbsOrq6lRYWKiMjAxlZmZq4cKFam5uliTt2bNHv/rVrzRs2DDddNNNeu6557ze%2B/rrr2vcuHG6%2BuqrNXHiRL3zzjt2nAIAAPBTAVuwZsyYoaioKFVWVurVV1/VJ598oscee0xHjx7V9OnTde211%2Brtt9/WE088oXXr1mn79u2SfihfCxYs0Pz58/Xuu%2B9q6tSpuv/%2B%2B3Xw4EGbzwgAAPiLgCxYzc3NSklJ0bx58xQREaFBgwZpwoQJeu%2B99/TWW2/pxIkTmjlzpvr27asrr7xSkyZNktPplCSVl5crKytLWVlZCgsL0/jx43X55ZeroqLC5rMCAAD%2BwmH3AGdDVFSUVqxY4bX21VdfKS4uTrW1tUpKSlJISIhnW3JyssrLyyVJtbW1ysrK8npvcnKyXC5Xt49fX1%2BvhoYGrzWHo6/i4uJO91S6FBLiX/3Y4Tj3857MyN%2ByOlfIxxoZWSOjrpGPtUDMKCAL1qlcLpdeeuklrV27Vlu3blVUVJTX9v79%2B8vtdqu9vV1ut1vR0dFe26Ojo/Xpp592%2B3hOp1MlJSVea4WFhZo9e/aZn0QAiImJsO3YUVF9bDu2PyAfa2RkjYy6Rj7WAimjgC9Y77//vmbOnKl58%2BYpMzNTW7du/dHXBQUFef65o6OjR8fMz89Xdna215rD0VdNTUd6tN9T%2BVvTN33%2B3RESEqyoqD5qbm5RW1v7OT%2B%2BryMfa2RkjYy6Rj7WzmZGdv3hPqALVmVlpX79619r6dKluvXWWyVJsbGx%2Bvzzz71e53a71b9/fwUHBysmJkZut7vT9tjY2G4fNy4urtPtwIaG79Ta2ru/sew8/7a29l6ff1fIxxoZWSOjrpGPtUDKyL8ugZyGDz74QAsWLNCTTz7pKVeSlJKSor1796q1tdWz5nK5lJaW5tleU1Pjta//ux0AAMBKQBas1tZWLVmyRPPnz9fIkSO9tmVlZSkyMlJr165VS0uLPvroI23YsEEFBQWSpMmTJ2vnzp166623dOzYMW3YsEGff/65xo8NT3%2B2AAANvklEQVQfb8epAAAAPxSQtwh37dqlffv2afny5Vq%2BfLnXtm3btunpp5/WQw89pNLSUp1//vkqKirS6NGjJUmXX365Vq1apRUrVqiurk6DBw/WunXrNHDgQBvOBAAA%2BKOALFjDhw/X3r17u3zNf/7nf/7ktptuukk33XST6bEAAEAvEZC3CAEAAOxEwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDHHYPgN7jlt/%2Bl90jnJatc66zewQAgJ/iChYAAIBhFCwAAADDKFgAAACGBWzBevvtt5WZmamioqJO215//XWNGzdOV199tSZOnKh33nnHs629vV1PPPGErr/%2Beo0YMUJ33323vvzyy3M5OgAA8HMBWbCeeeYZLV%2B%2BXBdffHGnbXv27NGCBQs0f/58vfvuu5o6daruv/9%2BHTx4UJL08ssva/PmzSotLdWOHTuUmJiowsJCdXR0nOvTAAAAfiogC1ZYWJg2bNjwowWrvLxcWVlZysrKUlhYmMaPH6/LL79cFRUVkiSn06mpU6fqsssuU2RkpIqKirRv3z599NFH5/o0AACAnwrIj2m44447fnJbbW2tsrKyvNaSk5Plcrl09OhRffrpp0pOTvZsi4yM1MUXXyyXy6WrrrqqW8evr69XQ0OD15rD0VdxcXGncRbWQkICsh/7DIcj8PM9%2BXuI30s/jYyskVHXyMdaIGYUkAWrK263W9HR0V5r0dHR%2BvTTT/Xtt9%2Bqo6PjR7c3NTV1%2BxhOp1MlJSVea4WFhZo9e/aZD45zLiYmwu4RzpmoqD52j%2BDzyMgaGXWNfKwFUka9rmBJsnyeqqfPW%2BXn5ys7O9trzeHoq6amIz3a76kCqen7ItP/vnxRSEiwoqL6qLm5RW1t7XaP45PIyBoZdY18rJ3NjOz6w3KvK1gxMTFyu91ea263W7Gxserfv7%2BCg4N/dPuAAQO6fYy4uLhOtwMbGr5TayvfWP6kN/37amtr71XneybIyBoZdY18rAVSRr3uEkhKSopqamq81lwul9LS0hQWFqYhQ4aotrbWs625uVl//etf9fOf//xcjwoAAPxUrytYkydP1s6dO/XWW2/p2LFj2rBhgz7//HONHz9eklRQUKCysjLt27dPhw8f1qpVqzR06FClpqbaPDkAAPAXAXmL8GQZam1tlSS9%2Beabkn64UnX55Zdr1apVWrFiherq6jR48GCtW7dOAwcOlCRNmTJFDQ0N%2Bqd/%2BicdOXJEGRkZnR5YBwAA6EpQB5%2BgeU40NHxnfJ8OR7BuXPW28f3iB1vnXGf3CGedwxGsmJgINTUdCZjnHkwjI2tk1DXysXY2Mxo4sJ/R/XVXr7tFCAAAcLZRsAAAAAwLyGewgN7olt/%2Bl90jdFtvuP0KoHfjChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAXrR9TV1enee%2B9VRkaGxowZo%2BLiYrW3t9s9FgAA8BMOuwfwRbNmzdKVV16pN998U42NjZo%2BfbrOP/98/fM//7PdowEAAD9AwTqFy%2BXSxx9/rPXr16tfv37q16%2Bfpk6dqhdeeIGCBfRSwxdvs3uEgLV1znV2j3Babvntf9k9wmnxt3wDCQXrFLW1tUpISFB0dLRn7corr9T%2B/ft1%2BPBhRUZGWu6jvr5eDQ0NXmsOR1/FxcUZnTUkhDu8Z5PDQb5niz9ly/fZ2eVPvxf8kb/ke/L7LJC%2B3yhYp3C73YqKivJaO1m2mpqaulWwnE6nSkpKvNbuv/9%2BzZo1y9yg%2BqHI3TnoE%2BXn5xsvb4Givr5eTqezV2T03m9uPu339KZ8zhTfZ9Z60%2B8jvs/Ojvr6er3wwrMBlVHgVEWDOjo6evT%2B/Px8vfrqq15f%2Bfn5hqb7m4aGBpWUlHS6Woa/IaOukY81MrJGRl0jH2uBmBFXsE4RGxsrt9vtteZ2uxUUFKTY2Nhu7SMuLi5gGjgAADh9XME6RUpKir766isdOnTIs%2BZyuTR48GBFRETYOBkAAPAXFKxTJCcnKzU1VatXr9bhw4e1b98%2BrV%2B/XgUFBXaPBgAA/ETIww8//LDdQ/iaX/7yl9qyZYseeeQRvfbaa8rLy9Pdd9%2BtoKAgu0frJCIiQtdccw1X17pARl0jH2tkZI2MukY%2B1gIto6COnj7RDQAAAC/cIgQAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjILlh%2Brq6nTvvfcqIyNDY8aMUXFxsdrb2%2B0ey%2Be8/fbbyszMVFFRkd2j%2BKS6ujoVFhYqIyNDmZmZWrhwoZqbm%2B0ey6d8/PHHuvPOOzVs2DBlZmZqzpw5amhosHssn/Too48qKSnJ7jF8TlJSklJSUpSamur5euSRR%2Bwey%2BesXbtWI0eO1FVXXaWpU6fqwIEDdo/UYxQsPzRr1izFx8frzTff1Pr16/Xmm2/qhRdesHssn/LMM89o%2BfLluvjii%2B0exWfNmDFDUVFRqqys1KuvvqpPPvlEjz32mN1j%2BYzjx4/rrrvu0jXXXKPq6mpt2bJFjY2N4se3drZnzx5t2rTJ7jF81rZt2%2BRyuTxfS5cutXskn/Lyyy%2BroqJCZWVleueddzR48GA9//zzdo/VYxQsP%2BNyufTxxx9r/vz56tevnxITEzV16lQ5nU67R/MpYWFh2rBhAwXrJzQ3NyslJUXz5s1TRESEBg0apAkTJui9996zezSf0dLSoqKiIk2fPl2hoaGKjY3VjTfeqE8%2B%2BcTu0XxKe3u7HnroIU2dOtXuUeCnnnvuORUVFenSSy9VZGSklixZoiVLltg9Vo9RsPxMbW2tEhISFB0d7Vm78sortX//fh0%2BfNjGyXzLHXfcoX79%2Btk9hs%2BKiorSihUrdP7553vWvvrqK8XFxdk4lW%2BJjo7WpEmT5HA4JEmfffaZfv/73%2BuWW26xeTLf8sorrygsLEzjxo2zexSftXr1ao0ePVrDhw/X0qVLdeTIEbtH8hlff/21Dhw4oG%2B//VZjx45VRkaGZs%2BerUOHDtk9Wo9RsPyM2%2B1WVFSU19rJstXU1GTHSAgALpdLL730kmbOnGn3KD6nrq5OKSkpGjt2rFJTUzV79my7R/IZ33zzjdasWaOHHnrI7lF81lVXXaXMzExt375dTqdTu3bt0rJly%2Bwey2ccPHhQ0g%2B3UdevX69Nmzbp4MGDXMGCPTo6OuweAQHk/fff191336158%2BYpMzPT7nF8TkJCglwul7Zt26bPP/9cDzzwgN0j%2BYwVK1Zo4sSJGjx4sN2j%2BCyn06lJkyYpNDRUl112mebPn68tW7bo%2BPHjdo/mE07%2B/9m0adMUHx%2BvQYMGadasWaqsrNSxY8dsnq5nKFh%2BJjY2Vm6322vN7XYrKChIsbGxNk0Ff1VZWal7771XixYt0h133GH3OD4rKChIiYmJKioq0pYtWwLi9kVPVVdX68MPP1RhYaHdo/iVCy64QG1tbWpsbLR7FJ9w8jGF/3tnJiEhQR0dHX6fEQXLz6SkpOirr77y%2Bg%2B8y%2BXS4MGDFRERYeNk8DcffPCBFixYoCeffFK33nqr3eP4nOrqauXk5Hh9BEpw8A//yTzvvPPsGstnVFRUqLGxUWPGjFFGRoYmTpwoScrIyNBrr71m83S%2BYffu3Vq5cqXX2r59%2BxQaGsrzjv/foEGDFBkZqT179njW6urqdN555/l9RhQsP5OcnKzU1FStXr1ahw8f1r59%2B7R%2B/XoVFBTYPRr8SGtrq5YsWaL58%2Bdr5MiRdo/jk1JSUnT48GEVFxerpaVFhw4d0po1azR8%2BHD%2BAoWkhQsX6o033tCmTZu0adMmlZaWSpI2bdqk7Oxsm6fzDQMGDJDT6VRpaamOHz%2Bu/fv368knn1R%2Bfr5CQkLsHs8nOBwO5eXl6emnn9YXX3yhxsZGPfXUUxo3bpznL5j4q6AOHujxOwcPHtTSpUv13//934qMjNSUKVN0//33KygoyO7RfEZqaqqkH4qEJM83qsvlsm0mX/Lee%2B/pH//xHxUaGtpp27Zt25SQkGDDVL5n7969Wr58uf7yl7%2Bob9%2B%2Buvbaa7Vw4ULFx8fbPZrPOXDggK6//nrt3bvX7lF8yp///GetXr1ae/fuVWhoqCZMmKCioiKFhYXZPZrPOH78uFasWKHXXntNJ06cUE5OjpYuXer3d2UoWAAAAIZxixAAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADPt/qOF8JunOYd8AAAAASUVORK5CYII%3D\"/>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-1386322969748148097\">\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">0</td>\n","        <td class=\"number\">678</td>\n","        <td class=\"number\">76.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">1</td>\n","        <td class=\"number\">118</td>\n","        <td class=\"number\">13.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">80</td>\n","        <td class=\"number\">9.0%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">5</td>\n","        <td class=\"number\">5</td>\n","        <td class=\"number\">0.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">5</td>\n","        <td class=\"number\">0.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">4</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">6</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-1386322969748148097\">\n","            <p class=\"h4\">Minimum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">0</td>\n","        <td class=\"number\">678</td>\n","        <td class=\"number\">76.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">1</td>\n","        <td class=\"number\">118</td>\n","        <td class=\"number\">13.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">80</td>\n","        <td class=\"number\">9.0%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:12%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">5</td>\n","        <td class=\"number\">0.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">4</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","            <p class=\"h4\">Maximum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">80</td>\n","        <td class=\"number\">9.0%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">5</td>\n","        <td class=\"number\">0.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">4</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">5</td>\n","        <td class=\"number\">5</td>\n","        <td class=\"number\">0.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:7%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">6</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","    </div>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_PassengerId\">PassengerId<br/>\n","            <small>Numeric</small>\n","        </p>\n","    </div><div class=\"col-md-6\">\n","    <div class=\"row\">\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","                <tr>\n","                    <th>Distinct count</th>\n","                    <td>891</td>\n","                </tr>\n","                <tr>\n","                    <th>Unique (%)</th>\n","                    <td>100.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (n)</th>\n","                    <td>0</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (n)</th>\n","                    <td>0</td>\n","                </tr>\n","            </table>\n","\n","        </div>\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","\n","                <tr>\n","                    <th>Mean</th>\n","                    <td>446</td>\n","                </tr>\n","                <tr>\n","                    <th>Minimum</th>\n","                    <td>1</td>\n","                </tr>\n","                <tr>\n","                    <th>Maximum</th>\n","                    <td>891</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Zeros (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","            </table>\n","        </div>\n","    </div>\n","</div>\n","<div class=\"col-md-3 collapse in\" id=\"minihistogram-5228131368374748187\">\n","    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAQNJREFUeJzt1sEJwkAURVEjlmQR9uQ6PVmEPX0bkAsGQoKcsx94DFxmlpmZC/DV9egBcGa3owfwv%2B7P189n3utjhyXbnS6QLZcKe/HFgiAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBsMzMHD0CzsoLAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAuEDaakM%2BHufcbcAAAAASUVORK5CYII%3D\">\n","\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-5228131368374748187,#minihistogram-5228131368374748187\"\n","       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"row collapse col-md-12\" id=\"descriptives-5228131368374748187\">\n","    <ul class=\"nav nav-tabs\" role=\"tablist\">\n","        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-5228131368374748187\"\n","                                                  aria-controls=\"quantiles-5228131368374748187\" role=\"tab\"\n","                                                  data-toggle=\"tab\">Statistics</a></li>\n","        <li role=\"presentation\"><a href=\"#histogram-5228131368374748187\" aria-controls=\"histogram-5228131368374748187\"\n","                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n","        <li role=\"presentation\"><a href=\"#common-5228131368374748187\" aria-controls=\"common-5228131368374748187\"\n","                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n","        <li role=\"presentation\"><a href=\"#extreme-5228131368374748187\" aria-controls=\"extreme-5228131368374748187\"\n","                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n","\n","    </ul>\n","\n","    <div class=\"tab-content\">\n","        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-5228131368374748187\">\n","            <div class=\"col-md-4 col-md-offset-1\">\n","                <p class=\"h4\">Quantile statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Minimum</th>\n","                        <td>1</td>\n","                    </tr>\n","                    <tr>\n","                        <th>5-th percentile</th>\n","                        <td>45.5</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q1</th>\n","                        <td>223.5</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Median</th>\n","                        <td>446</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q3</th>\n","                        <td>668.5</td>\n","                    </tr>\n","                    <tr>\n","                        <th>95-th percentile</th>\n","                        <td>846.5</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Maximum</th>\n","                        <td>891</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Range</th>\n","                        <td>890</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Interquartile range</th>\n","                        <td>445</td>\n","                    </tr>\n","                </table>\n","            </div>\n","            <div class=\"col-md-4 col-md-offset-2\">\n","                <p class=\"h4\">Descriptive statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Standard deviation</th>\n","                        <td>257.35</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Coef of variation</th>\n","                        <td>0.57703</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Kurtosis</th>\n","                        <td>-1.2</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Mean</th>\n","                        <td>446</td>\n","                    </tr>\n","                    <tr>\n","                        <th>MAD</th>\n","                        <td>222.75</td>\n","                    </tr>\n","                    <tr class=\"\">\n","                        <th>Skewness</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Sum</th>\n","                        <td>397386</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Variance</th>\n","                        <td>66231</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Memory size</th>\n","                        <td>7.0 KiB</td>\n","                    </tr>\n","                </table>\n","            </div>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-5228131368374748187\">\n","            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3X1Q1WX%2B//EXN4qJIJCBu35tsHE1gUQRZUPNJDPTvA1DyzEr71npBhtMcdRpV23UbUods920G5uVpWnyJu82Tdt2qda0FpDccm03GRQUTiqKguf6/eEv7ISumpd%2B%2BMDzMeNMXOdw%2BYarmfP0cw4HP2OMEQAAAKzxd3oAAACAhobAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsIzAAgAAsCzQ6QEai7KyE1b38/f3U0REsMrLK%2BX1Gqt748pxDvUD51B/cBb1A%2BdwwS23hDjy93IFy6X8/f3k5%2Bcnf38/p0dp1DiH%2BoFzqD84i/qBc3AegQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGBZoNMDAACA6%2BPexX91eoQrtvmpnk6PYBVXsAAAACwjsAAAACwjsAAAACzjNVgu56bn1wEAaCy4ggUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGAZgQUAAGBZow2sffv2aezYsUpMTFTPnj01ffp0lZeXS5Ly8vKUmpqqhIQEDRo0SOvXr3d4WgAA4CaNMrBqamo0ceJEdenSRX//%2B9%2B1ceNGlZeXa%2B7cuSotLdXUqVM1atQo5eXladasWZo9e7by8/OdHhsAALhEowyssrIylZWVaejQoWratKnCw8N17733qqioSBs2bFB0dLRSU1MVFBSk5ORkpaSkKDc31%2BmxAQCASwQ6PYAToqKi1KlTJ%2BXk5OjJJ59UVVWVtm3bprvvvluFhYWKiYnxuX9MTIw2b958xfuXlpaqrKzMZy0wsLkiIyOtzC9JAQGNso0BAA1UYGDDelxrlIHl7%2B%2BvpUuXaty4cXrjjTckST169FBmZqamTp2qqKgon/uHhYWpoqLiivfPycnRsmXLfNbS09OVkZFx7cMDANAAhYcHOz2CVY0ysM6ePavJkydrwIABmjx5sk6dOqV58%2BZp%2BvTpVvZPS0tTSkqKz1pgYHNVVFRa2V86fwUrNPQma/sBAOAkm4%2BRP%2BZUuDXKwMrLy9OhQ4f0zDPPKCAgQCEhIcrIyNDQoUPVu3dveTwen/tXVFQoIiLiivePjIys83RgWdkJ1dR4rcwPAEBD09AeIxvWE55X6Ny5c/J6vTLG1K6dPXtWkpScnKyCggKf%2BxcUFCg%2BPv6GzggAANyrUQZW165d1bx5cy1dulSnT59WRUWFVqxYoe7du2vo0KEqLi5Wbm6uzpw5o127dmnXrl166KGHnB4bAAC4RKMMrPDwcL322mvas2eP7rrrLj3wwANq1qyZlixZoptvvlkrV67UmjVr1K1bN82fP1%2BLFi3S7bff7vTYAADAJfzMj58nw3VTVnbC6n6Bgf4KDw9W4qwtVvcFAMAJm5/qeV32veWWkOuy7%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%2B%2B22tX79eb775pj7%2B%2BGO1b99er7/%2BukpLSzV16lSNGjVKeXl5mjVrlmbPnq38/HynRwYAAC4R6PQATlm1apWysrJ02223SZKys7MlSa%2B99pqio6OVmpoqSUpOTlZKSopyc3N1xx13ODYvAABwj0Z5BevIkSM6dOiQvv/%2Bew0cOFBJSUnKyMhQeXm5CgsLFRMT43P/mJgYFRQUODQtAABwm0Z5Bevw4cOSpC1btmj16tUyxigjI0PZ2dmqqqpSVFSUz/3DwsJUUVFxxfuXlpaqrKzMZy0wsLkiIyOvffj/LyCgUbYxAKCBCgxsWI9rjTKwjDGSpPHjx9fG1LRp0zRhwgQlJydf8/45OTlatmyZz1p6eroyMjKueW8AABqi8PBgp0ewqlEGVqtWrSRJoaGhtWtt2rSRMUbV1dXyeDw%2B96%2BoqFBERMQV75%2BWlqaUlBSftcDA5qqoqLyGqX0FBPgrNPQma/sBAOAkm4%2BRP%2BZUuDXKwGrdurVatGihoqIixcbGSpKKi4vVpEkT9enTR%2BvWrfO5f0FBgeLj4694/8jIyDpPB5aVnVBNjffahwcAoAFqaI%2BRDesJzysUGBio1NRUvfLKK/rPf/6jY8eOafny5Ro8eLCGDx%2Bu4uJi5ebm6syZM9q1a5d27dqlhx56yOmxAQCASzTKK1iSlJmZqbNnz2rkyJGqrq7Wfffdp%2BzsbAUHB2vlypX67W9/q3nz5qlNmzZatGiRbr/9dqdHBgAALuFnfnjFN66rsrITVvcLDPRXeHiwEmdtsbovAABO2PxUz%2Buy7y23hFyXfS%2BnUT5FCAAAcD0RWAAAAJYRWAAAAJYRWAAAAJa5KrBSUlK0bNkylZSUOD0KAADAJbkqsB588EFt2rRJ/fr10/jx47Vt2zbV1NQ4PRYAAIAPV75NQ2FhoTZu3KjNmzerurpaw4YNU2pqqtq1a%2Bf0aJfE2zQAAHBpDe1tGlwZWD8wxmjTpk2aO3euTp48qeTkZD355JPq3Lmz06PVQWABAHBpDS2wXPUU4Q%2Bqq6u1adMmTZgwQVlZWYqKitJzzz2nTp06ady4cdqwYYPTIwIAgEbMVb8q58CBA3rnnXf03nvvqbKyUvfdd5/eeOMNdevWrfY%2B3bt319y5czV48GAHJwUAAI2ZqwJr0KBBateunSZNmqRhw4YpLCyszn369Omj8vJyB6YDAAA4z1WB9eabb6pHjx6Xvd%2BXX355A6YBAAC4OFe9Bqtjx46aPHmyPvjgg9q1119/XRMmTJDH43FwMgAAgAtcFVgLFizQiRMn1L59%2B9q1u%2B%2B%2BW16vVwsXLnRwMgAAgAtc9RThxx9/rA0bNig8PLx2LTo6WosXL9YDDzzg4GQAAAAXuOoKVlVVlYKCguqs%2B/v76/Tp0w5MBAAAUJerAqt79%2B5auHChvv/%2B%2B9q1I0eOaN68eT5v1QAAAOAkVz1FOHPmTD3%2B%2BOO688471aJFC3m9XlVWVqpt27Z66623nB4PAABAkssCq23btnr//ff10Ucf6b///a/8/f3Vrl079erVSwEBAU6PBwAAIMllgSVJTZs2Vb9%2B/ZweAwAA4JJcFVjfffedlixZoq%2B//lpVVVV1bt%2B%2BfbsDUwEAAPhyVWDNnDlTpaWl6tWrl5o3b%2B70OAAAABflqsAqKCjQ9u3bFRER4fQoAAAAl%2BSqt2m4%2BeabuXIFAADqPVcF1qRJk7Rs2TIZY5weBQAA4JJc9RThRx99pD179ujdd9/V//3f/8nf37cP165d69BkAAAAF7gqsFq0aKG77rrL6TEAAAD%2BJ1cF1oIFC5weAQAA4LJc9RosSfr3v/%2BtpUuX6rnnnqtd27t3r4MTAQAA%2BHJVYOXl5WnIkCHatm2bNm7cKOn8m4%2BOHTuWNxkFAAD1hqsC68UXX9Szzz6rDRs2yM/PT9L530%2B4cOFCLV%2B%2B3OHpAAAAznNVYP3rX//S6NGjJak2sCRpwIABOnDggFNjAQAA%2BHBVYIWEhFz0dxCWlpaqadOmDkwEAABQl6sCKyEhQfPnz9fJkydr1w4ePKisrCzdeeedDk4GAABwgavepuG5557To48%2BqqSkJJ07d04JCQk6ffq0fvWrX2nhwoVOjwcAACDJZYHVunVrbdy4Ubt27dLBgwfVrFkztWvXTj179vR5TRYAAICTXBVYktSkSRP169fP6TEAAAAuyVWBlZKS8j%2BvVPFeWAAAoD5wVWANHDjQJ7DOnTungwcPKj8/X48%2B%2BqiDkwEAAFzgqsCaPn36Rde3bt2qTz/99AZPAwAAcHGuepuGS%2BnXr5/ef/99p8cAAACQ1EACa9%2B%2BfTLGOD0GAACAJJc9RThq1Kg6a6dPn9aBAwfUv39/ByYCAACoy1WBFR0dXeenCIOCgpSamqqRI0c6NBUAAIAvVwUW79YOAADcwFWB9d57713xfYcNG3YdJwEAALg0VwXWrFmz5PV667yg3c/Pz2fNz8%2BPwAIAAI5xVWD98Y9/1KpVqzR58mR17NhRxhjt379ff/jDHzRmzBglJSU5PSIAAIC7AmvhwoV69dVXFRUVVbuWmJiotm3b6oknntDGjRsdnA4AAOA8V70P1rfffquWLVvWWQ8NDVVxcbEDEwEAANTlqsBq06aNFi5cqIqKitq148ePa8mSJbr11lsdnAwAAOACVz1FOHPmTGVmZionJ0fBwcHy9/fXyZMn1axZMy1fvtzp8QAAACS5LLB69eqlnTt3ateuXTp8%2BLCMMYqKilLv3r0VEhLi9HgAAACSXBZYknTTTTfpnnvu0eHDh9W2bVunxwEAAKjDVa/BqqqqUlZWlrp27ar7779f0vnXYI0fP17Hjx93eDoAAIDzXBVYixYtUlFRkRYvXix//wujnzt3TosXL3ZwMgAAgAtcFVhbt27Vyy%2B/rAEDBtT%2B0ufQ0FAtWLBA27Ztc3g6AACA81wVWJWVlYqOjq6zHhERoVOnTv2sPefPn6%2BOHTvWfpyXl6fU1FQlJCRo0KBBWr9%2B/c8dFwAANFKuCqxbb71Vn376qST5/O7BLVu26Je//OVV71dUVKR169bVflxaWqqpU6dq1KhRysvL06xZszR79mzl5%2Bdf%2B/AAAKDRcFVgPfzww5o2bZpeeOEFeb1erV69WpmZmZo5c6YeffTRq9rL6/Vqzpw5GjduXO3ahg0bFB0drdTUVAUFBSk5OVkpKSnKzc21/JUAAICGzFWBlZaWpqysLH3yyScKCAjQK6%2B8ouLiYi1evFijR4%2B%2Bqr3Wrl2roKAgDR48uHatsLBQMTExPveLiYlRQUGBlfkBAEDj4Kr3wSovL9eDDz6oBx988Jr2OXr0qJYuXaq33nrLZ93j8fj8ImlJCgsL8/nVPFeitLRUZWVlPmuBgc0VGRn58wa%2BiIAAV7UxAAD/U2Bgw3pcc1Vg3XPPPdqzZ0/tTxD%2BXAsWLNCIESPUvn17HTp0yNJ0F%2BTk5GjZsmU%2Ba%2Bnp6crIyLD%2BdwEA0BCEhwc7PYJVrgqspKQkbd68WQMHDvzZe%2BTl5Wnv3r3auHFjndvCw8Pl8Xh81ioqKhQREXFVf0daWppSUlJ81gIDm6uiovLqB76EgAB/hYbeZG0/AACcZPMx8secCjdXBdYvfvEL/e53v9Orr76qW2%2B9VU2aNPG5fcmSJZfdY/369Tp27Jj69u0r6cJPIyYlJenxxx%2BvE14FBQWKj4%2B/qjkjIyPrPB1YVnZCNTXeq9oHAIDGoqE9RroqsL755hvddtttknTVr4v6wYwZM/Tkk0/Wfnz48GGlpaVp3bp18nq9WrlypXJzczVkyBB98skn2rVrl3JycqzMDwAAGgdXBNbTTz%2BtF1980edF6cuXL1d6evpV79WyZUu1bNmy9uOamhpJUuvWrSVJK1eu1G9/%2B1vNmzdPbdq00aJFi3T77bdf41cAAAAaEz/z43fsrKfi4%2BP15ZdfXnatPisrO2F1v8BAf4WHBytx1har%2BwIA4ITNT/W8LvveckvIddn3clzxM5EXa0AXdCEAAGikXBFYF3tbhmt9qwYAAIDrxRWBBQAA4CYEFgAAgGWu%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%2B%2BvVatWOTwtAABwk0YbWJMnT1ZoaKh27Nihd999V19//bVeeOEFVVVVadKkSfr1r3%2Btv/71r3rxxRe1cuVKbdu2zemRAQCASzTKwDp%2B/Lji4uKUmZmp4OBgtW7dWsOHD9fu3bu1c%2BdOVVdXa8qUKWrevLliY2M1cuRI5eTkOD02AABwiUCnB3BCaGioFixY4LNWUlKiyMhIFRYWqmPHjgoICKi9LSYmRrm5uVe8f2lpqcrKynzWAgObKzIy8toG/5GAgEbZxgCABiowsGE9rjXKwPqp/Px8rVmzRitWrNDmzZsVGhrqc3tYWJg8Ho%2B8Xq/8/S//P0BOTo6WLVvms5aenq6MjAyrcwMA0FCEhwc7PYJVjT6wPv/8c02ZMkWZmZlKTk7W5s2bL3o/Pz%2B/K94zLS1NKSkpPmuBgc1VUVF5TbP%2BWECAv0JDb7K2HwAATrL5GPljToVbow6sHTt26Nlnn9Xs2bM1bNgwSVJERIS%2B/fZbn/t5PB6FhYVd0dUrSYqMjKzzdGBZ2QnV1HitzA0AQEPT0B4jG9YTnldhz549ysrK0ksvvVQbV5IUFxen/fv3q6ampnYtPz9f8fHxTowJAABcqFEGVk1NjbKzszV9%2BnT16tXL57Y%2BffqoRYsWWrFihU6fPq0vv/xS77zzjkaPHu3QtAAAwG38jDHG6SFutN27d%2BuRRx5R06ZN69y2ZcsWVVZWas6cOSooKFCrVq00YcIEPfzww9f0d5aVnbimz/%2BpwEB/hYcHK3HWFqv7AgDghM1P9bwu%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%2B%2BWrRokbxer9NjAQAAlwh0eoD6aNq0aYqNjdUHH3ygY8eOadKkSWrVqpUee%2Bwxp0cDAAAuwBWsn8jPz9dXX32l6dOnKyQkRNHR0Ro3bpxycnKcHg0AALgEV7B%2BorCwUG3atFHLli1r12JjY3Xw4EGdPHlSLVq0uOwepaWlKisr81kLDGyuyMhIa3MGBNDGAICGIzCwYT2uEVg/4fF4FBoa6rP2Q2xVVFRcUWDl5ORo2bJlPmu/%2Bc1vNG3aNGtzlpaW6o03/qhNT6ZZDTdcndLSUuXk5CgtjXNwEudQf3AW9QPn4LyGlYuWGGOu6fPT0tL07rvv%2BvxJS0uzNN15ZWVlWrZsWZ0rZbixOIf6gXOoPziL%2BoFzcB5XsH4iIiJCHo/HZ83j8cjPz08RERFXtEdkZCT/YgAAoBHjCtZPxMXFqaSkROXl5bVr%2Bfn5at%2B%2BvYKDgx2cDAAAuAWB9RMxMTG64447tGTJEp08eVIHDhzQ6tWrNXr0aKdHAwAALhEwd%2B7cuU4PUd/07t1bGzdu1PPPP6/3339fqampeuKJJ%2BTn5%2Bf0aD6Cg4PVo0cPrqw5jHOoHziH%2BoOzqB84B2f5mWt9RTcAAAB88BQhAACAZQQWAACAZQQWAACAZQQWAACAZQQWAACAZQQWAACAZQQWAACAZQQWAACAZQQWAACAZQSWCxUXF2vixIlKSkpS3759tWjRInm9XqfHanCKi4uVnp6upKQkJScna8aMGTp%2B/LgkqaioSGPGjFG3bt3Uv39/rVq1yudzN23apMGDB6tr164aMWKEPv74Yye%2BhAZn/vz56tixY%2B3HeXl5Sk1NVUJCggYNGqT169f73P/NN9/Ufffdp4SEBI0ePVoFBQU3euQGZ8WKFerVq5e6dOmicePG6dChQ5I4ixtp3759Gjt2rBITE9WzZ09Nnz5d5eXlkjiHesXAdYYPH26ys7PN8ePHzcGDB03//v3NqlWrnB6rwXnggQfMjBkzzMmTJ01JSYkZMWKEmTlzpjl9%2BrTp3bu3Wbp0qamsrDQFBQWmR48eZuvWrcYYY/bt22fi4uLMzp07TVVVlVm3bp2Jj483JSUlDn9F7rZv3z7To0cP06FDB2OMMUeOHDFdunQxubm5pqqqyvztb38znTt3Nv/85z%2BNMcZs377dJCYmmi%2B%2B%2BMKcPn3arFy50vTs2dNUVlY6%2BWW42po1a8yAAQPMgQMHzIkTJ8zzzz9vnn/%2Bec7iBqqurjY9e/Y0S5YsMWfOnDHl5eXmscceM9OmTeMc6hmuYLlMfn6%2BvvrqK02fPl0hISGKjo7WuHHjlJOT4/RoDcrx48cVFxenzMxMBQcHq3Xr1ho%2BfLh2796tnTt3qrq6WlOmTFHz5s0VGxurkSNH1p5Bbm6u%2BvTpoz59%2BigoKEhDhgxRhw4d6vxLElfO6/Vqzpw5GjduXO3ahg0bFB0drdTUVAUFBSk5OVkpKSnKzc2VJOXk5GjEiBGKj49Xs2bNNH78eEnShx9%2B6MSX0CCsWrVKTz/9tG677Ta1aNFC2dnZys7O5ixuoLKyMpWVlWno0KFq2rSpwsPDde%2B996qoqIhzqGcILJcpLCxUmzZt1LJly9q12NhYHTx4UCdPnnRwsoYlNDRUCxYsUKtWrWrXSkpKFBkZqcLCQnXs2FEBAQG1t8XExNReai8sLFRMTIzPfjExMcrPz78xwzdAa9euVVBQkAYPHly7dqnv86XOwd/fX506deIcfqYjR47o0KFD%2Bv777zVw4EAlJSUpIyND5eXlnMUNFBUVpU6dOiknJ0eVlZU6duyYtm3bprvvvptzqGcILJfxeDwKDQ31WfshtioqKpwYqVHIz8/XmjVrNGXKlIueQVhYmDwej7xerzwej08AS%2BfPiPP5eY4ePaqlS5dqzpw5PuuXOocfvs%2Bcg12HDx%2BWJG3ZskWrV6/WunXrdPjwYWVnZ3MWN5C/v7%2BWLl2q7du3KyEhQcnJyaqpqVFmZibnUM8QWC5kjHF6hEbl888/1xNPPKHMzEwlJydf8n5%2Bfn61/80Z2bNgwQKNGDFC7du3v%2BrP5Rzs%2BeF7OX78eEVFRal169aaNm2aduzYcVWfj2tz9uxZTZ48WQMGDNDu3bv10UcfKSQkRNOnT7%2Biz%2BccbhwCy2UiIiLk8Xh81jwej/z8/BQREeHQVA3Xjh07NHHiRM2cOVNjx46VdP4MfvovPo/Ho7CwMPn7%2Bys8PPyiZ8T5XL28vDzt3btX6enpdW672Pe5oqKi9vvMOdj1w9PlP75C0qZNGxljVF1dzVncIHl5eTp06JCeeeYZhYSEKCoqShkZGfrLX/4if39/zqEeIbBcJi4uTiUlJbU/kiudf/qqffv2Cg4OdnCyhmfPnj3KysrSSy%2B9pGHDhtWux8XFaf/%2B/aqpqaldy8/PV3x8fO3tP/3R5x/fjiu3fv16HTt2TH379lVSUpJGjBghSUpKSlKHDh3qfJ8LCgp8zqGwsLD2tnPnzmnfvn2cw8/UunVrtWjRQkVFRbVrxcXFatKkifr06cNZ3CDnzp2T1%2Bv1uRJ19uxZSVJycjLnUJ849wOM%2BLlGjhxpZs6caU6cOGG%2B%2BeYbk5KSYtasWeP0WA1KdXW1uf/%2B%2B83atWvr3HbmzBnTt29f8/LLL5tTp06ZL774wiQmJpoPP/zQGGPM/v37zR133GE%2B/PBDU1VVZXJzc03Xrl1NaWnCMjY/AAABwUlEQVTpDf4q3M/j8ZiSkpLaP3v37jUdOnQwJSUlpri42HTt2tX8%2Bc9/NlVVVWbnzp2mc%2BfOpqioyBhjzK5du0y3bt3M3r17zalTp8zSpUtNnz59zOnTpx3%2Bqtxr/vz55p577jHffvutOXr0qElLSzMzZswwR48e5SxukPLyctOjRw/z%2B9//3pw6dcqUl5ebyZMnm0ceeYRzqGcILBcqKSkx48ePN507dzbJycnm5ZdfNl6v1%2BmxGpR//OMfpkOHDiYuLq7On0OHDpn9%2B/ebUaNGmbi4OHP33Xebt99%2B2%2Bfzt27davr3729iY2PN0KFDzWeffebQV9KwfPfdd7Xvg2WMMZ999pkZMmSIiY2NNf379699L7IfvP3226ZPnz4mLi7OjB492uzfv/9Gj9ygnDlzxsydO9d0797ddOnSxWRlZZmTJ08aYziLGyk/P9%2BMGTPGJCYmmuTkZPPUU0%2BZw4cPG2M4h/rEzxhe8QYAAGATr8ECAACwjMACAACwjMACAACwjMACAACwjMACAACwjMACAACwjMACAACwjMACAACwjMACAACwjMACAACwjMACAACwjMACAACwjMACAACw7P8B6wE1dOrHiy4AAAAASUVORK5CYII%3D\"/>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-5228131368374748187\">\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">891</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">293</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">304</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">303</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">302</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">301</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">300</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">299</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">298</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">297</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"other\">\n","        <td class=\"fillremaining\">Other values (881)</td>\n","        <td class=\"number\">881</td>\n","        <td class=\"number\">98.9%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-5228131368374748187\">\n","            <p class=\"h4\">Minimum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">1</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">4</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">5</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","            <p class=\"h4\">Maximum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">887</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">888</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">889</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">890</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">891</td>\n","        <td class=\"number\">1</td>\n","        <td class=\"number\">0.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","    </div>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Pclass\">Pclass<br/>\n","            <small>Numeric</small>\n","        </p>\n","    </div><div class=\"col-md-6\">\n","    <div class=\"row\">\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","                <tr>\n","                    <th>Distinct count</th>\n","                    <td>3</td>\n","                </tr>\n","                <tr>\n","                    <th>Unique (%)</th>\n","                    <td>0.3%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (n)</th>\n","                    <td>0</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (n)</th>\n","                    <td>0</td>\n","                </tr>\n","            </table>\n","\n","        </div>\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","\n","                <tr>\n","                    <th>Mean</th>\n","                    <td>2.3086</td>\n","                </tr>\n","                <tr>\n","                    <th>Minimum</th>\n","                    <td>1</td>\n","                </tr>\n","                <tr>\n","                    <th>Maximum</th>\n","                    <td>3</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Zeros (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","            </table>\n","        </div>\n","    </div>\n","</div>\n","<div class=\"col-md-3 collapse in\" id=\"minihistogram-3460073302413522622\">\n","    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAQtJREFUeJzt3MEJAkEQAEEVQzIIc/JtTgZhTmMC0qAgt5xV/4X5NDOvPc7MHIC3TlsPACs7bz0A%2B3W5PT5%2B87xffzDJ92wQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCMv9rLiH3/jYDxsEgkAgLHdi/Tsn5lpsEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIAoEgEAgCgSAQCAKBIBAIx5mZrYeAVdkgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAkEgEF7/3RGT0dEIxAAAAABJRU5ErkJggg%3D%3D\">\n","\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives-3460073302413522622,#minihistogram-3460073302413522622\"\n","       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"row collapse col-md-12\" id=\"descriptives-3460073302413522622\">\n","    <ul class=\"nav nav-tabs\" role=\"tablist\">\n","        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles-3460073302413522622\"\n","                                                  aria-controls=\"quantiles-3460073302413522622\" role=\"tab\"\n","                                                  data-toggle=\"tab\">Statistics</a></li>\n","        <li role=\"presentation\"><a href=\"#histogram-3460073302413522622\" aria-controls=\"histogram-3460073302413522622\"\n","                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n","        <li role=\"presentation\"><a href=\"#common-3460073302413522622\" aria-controls=\"common-3460073302413522622\"\n","                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n","        <li role=\"presentation\"><a href=\"#extreme-3460073302413522622\" aria-controls=\"extreme-3460073302413522622\"\n","                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n","\n","    </ul>\n","\n","    <div class=\"tab-content\">\n","        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles-3460073302413522622\">\n","            <div class=\"col-md-4 col-md-offset-1\">\n","                <p class=\"h4\">Quantile statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Minimum</th>\n","                        <td>1</td>\n","                    </tr>\n","                    <tr>\n","                        <th>5-th percentile</th>\n","                        <td>1</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q1</th>\n","                        <td>2</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Median</th>\n","                        <td>3</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q3</th>\n","                        <td>3</td>\n","                    </tr>\n","                    <tr>\n","                        <th>95-th percentile</th>\n","                        <td>3</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Maximum</th>\n","                        <td>3</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Range</th>\n","                        <td>2</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Interquartile range</th>\n","                        <td>1</td>\n","                    </tr>\n","                </table>\n","            </div>\n","            <div class=\"col-md-4 col-md-offset-2\">\n","                <p class=\"h4\">Descriptive statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Standard deviation</th>\n","                        <td>0.83607</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Coef of variation</th>\n","                        <td>0.36215</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Kurtosis</th>\n","                        <td>-1.28</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Mean</th>\n","                        <td>2.3086</td>\n","                    </tr>\n","                    <tr>\n","                        <th>MAD</th>\n","                        <td>0.76197</td>\n","                    </tr>\n","                    <tr class=\"\">\n","                        <th>Skewness</th>\n","                        <td>-0.63055</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Sum</th>\n","                        <td>2057</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Variance</th>\n","                        <td>0.69902</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Memory size</th>\n","                        <td>7.0 KiB</td>\n","                    </tr>\n","                </table>\n","            </div>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram-3460073302413522622\">\n","            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3XtcVXW%2B//E3F4EUQbHQRk2cvCRiHO9Fjiiamo5OGor0sDK1vFCOpKVpTVomNup0Ujwm0ziTNachrbxl1ikvWdI8uozOBu0i6bHhaJCyQxBRYP3%2B8OeetqiAfmHvvXo9H48ejd%2B1WHzerVm7d2ttNn6WZVkCAACAMf6eHgAAAMBuKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwLBATw/wc1FQcNL4Mf39/RQR0UgnTpSostIyfnxPsWsuyb7Z7JpLIpsvsmsuyb7Z6jLXddc1Nnq8muIOlg/z9/eTn5%2Bf/P39PD2KUXbNJdk3m11zSWTzRXbNJdk3mx1zUbAAAAAMo2ABAAAYRsECAAAwzLYFq2PHjoqJiVGXLl1cfz3zzDOSpKysLCUmJqpbt24aNmyYNm3a5Pa1a9eu1eDBg9WtWzclJycrOzvbExEAAICPsvVPEW7btk2tWrVyW8vPz9e0adM0b948DR8%2BXJ9//rmmTp2qtm3bqkuXLtq%2BfbtWrFihl156SR07dtTatWs1ZcoUvffee2rYsKGHkgAAAF9i2ztYl7J582ZFRUUpMTFRwcHBiouLU0JCgtatWydJyszM1KhRoxQbG6uQkBBNmjRJkrRjxw5Pjg0AAHyIrQvWsmXL1K9fP/Xo0UNPPvmkSkpKlJOTo%2BjoaLf9oqOjXY8BL9zu7%2B%2BvTp06yeFw1OvsAADAd9n2EeF//Md/KC4uTs8995y%2B%2B%2B47zZgxQwsWLJDT6VTz5s3d9m3SpIkKCwslSU6nU%2BHh4W7bw8PDXdtrIj8/XwUFBW5rgYENFRkZeYVpLi4gwN/t73Zh11ySfbPZNZdENl9k11ySfbPZMZdtC1ZmZqbrf994442aNWuWpk6dqu7du1f7tZZ1dZ8im5mZqfT0dLe1lJQUTZ8%2B/aqOeylhYdfUyXE9za65JPtms2suiWy%2ByK65JPtms1Mu2xasC7Vq1UoVFRXy9/eX0%2Bl021ZYWKiIiAhJUtOmTatsdzqdat%2B%2BfY2/V1JSkhISEtzWAgMbqrCw5Aqnv7iAAH%2BFhV2joqJSVVRUGj22J9k1l2TfbHbNJZHNF9k1l2TfbHWZq2nTRkaPV1O2LFj79%2B/Xpk2bNGfOHNdabm6ugoKCFB8fr7feestt/%2BzsbMXGxkqSYmJilJOTo5EjR0qSKioqtH//fiUmJtb4%2B0dGRlZ5HFhQcFLl5XVzMVRUVNbZsT3Jrrkk%2B2azay6JbL7Irrkk%2B2azUy77POz8iWbNmikzM1MZGRk6c%2BaMDh06pBdeeEFJSUn6zW9%2Bo7y8PK1bt05lZWXatWuXdu3apTFjxkiSkpOTtWHDBu3du1elpaVatWqVgoKC1K9fP8%2BGAgAAPsOWd7CaN2%2BujIwMLVu2zFWQRo4cqdTUVAUHB2v16tVauHChFixYoJYtW2rJkiW66aabJEl9%2B/bVI488ohkzZuj48ePq0qWLMjIyFBIS4uFUAADAV/hZV/uObtRIQcFJ48cMDPRX06aNVFhYYptbqpJ9c0n2zWbXXBLZfJFdc0m1z3bHf35cD1OZ8dmzQ%2BrknF13XWOjx6spWz4iBAAA8CQKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMN%2BFgVr0aJF6tixo%2BvPWVlZSkxMVLdu3TRs2DBt2rTJbf%2B1a9dq8ODB6tatm5KTk5WdnV3fIwMAAB9m%2B4J14MABbdy40fXn/Px8TZs2TWPHjlVWVpbmzZunJ598Ug6HQ5K0fft2rVixQr///e%2B1Z88e9e/fX1OmTNGpU6c8FQEAAPgYWxesyspKPfXUUxo/frxrbfPmzYqKilJiYqKCg4MVFxenhIQErVu3TpKUmZmpUaNGKTY2ViEhIZo0aZIkaceOHZ6IAAAAfJCtC9bf/vY3BQcHa/jw4a61nJwcRUdHu%2B0XHR3tegx44XZ/f3916tTJdYcLAACgOoGeHqCu/PDDD1qxYoVeeeUVt3Wn06nmzZu7rTVp0kSFhYWu7eHh4W7bw8PDXdtrIj8/XwUFBW5rgYENFRkZWZsI1QoI8Hf7u13YNZdk32x2zSWRzRfZNZdk72ySvXLZtmClpaVp1KhRateunf71r3/V6msty7qq752Zman09HS3tZSUFE2fPv2qjnspYWHX1MlxPc2uuST7ZrNrLolsvsiuuST7ZrNTLlsWrKysLP3jH//Qli1bqmxr2rSpnE6n21phYaEiIiIuud3pdKp9%2B/Y1/v5JSUlKSEhwWwsMbKjCwpIaH6MmAgL8FRZ2jYqKSlVRUWn02J5k11ySfbPZNZdENl9k11ySvbNJqpNcTZs2Mnq8mrJlwdq0aZOOHz%2Bu/v37S/r3HanevXtrwoQJVYpXdna2YmNjJUkxMTHKycnRyJEjJUkVFRXav3%2B/EhMTa/z9IyMjqzwOLCg4qfLyurkYKioq6%2BzYnmTXXJJ9s9k1l0Q2X2TXXJJ9s9kpl30edv7EnDlz9O6772rjxo3auHGjMjIyJEkbN27U8OHDlZeXp3Xr1qmsrEy7du3Srl27NGbMGElScnKyNmzYoL1796q0tFSrVq1SUFCQ%2BvXr58FEAADAl9jyDlZ4eLjbG9XLy8slSS1atJAkrV69WgsXLtSCBQvUsmVLLVmyRDfddJMkqW/fvnrkkUc0Y8YMHT9%2BXF26dFFGRoZCQkLqPwgAAPBJtixYF2rVqpW%2B%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%2Bdu3atRo8eLC6deum5ORkZWdnG80IAADszesK1nmdO3fW7NmztWPHDs2dO1evv/66hg4dqokTJ%2Bqf//znZb/2zJkzmjBhgnr16qWsrCxt2bJFx48f1/z585Wfn69p06Zp7NixysrK0rx58/Tkk0/K4XBIkrZv364VK1bo97//vfbs2aP%2B/ftrypQpOnXqVH3EBgAANuC1Bevs2bPaunWrHnjgAc2ePVvNmzfX448/rk6dOmn8%2BPHavHnzJb%2B2tLRUqampmjx5soKCghQREaHbb79d33zzjTZv3qyoqCglJiYqODhYcXFxSkhI0Lp16yRJmZmZGjVqlGJjYxUSEqJJkyZJknbs2FEvuQEAgO8L9PQAF8rNzdX69eu1YcMGlZSUaPDgwXr55ZfVvXt31z49e/bU/PnzNXz48IseIzw8XKNHj3b9%2Bdtvv9Vbb72lO%2B64Qzk5OYqOjnbbPzo6Wu%2B8844kKScnR0OHDnVt8/f3V6dOneRwODRs2DCTUQEAgE15XcEaNmyY2rZtq8mTJ%2BvOO%2B9UkyZNquwTHx%2BvEydOVHusvLw8DR48WOXl5RozZoymT5%2BuBx54QM2bN3fbr0mTJiosLJQkOZ1OhYeHu20PDw93ba%2BJ/Px81/u9zgsMbKjIyMgaH6MmAgL83f5uF3bNJdk3m11zSWTzRXbNJdk7m2SvXF5XsNauXatevXpVu9%2B%2Bffuq3adly5ZyOBz63//9X/3ud7/TY489VqMZLMuq0X6XkpmZqfT0dLe1lJQUTZ8%2B/aqOeylhYdfUyXE9za65JPtms2suiWy%2ByK65JPtms1MurytYHTt21JQpU5SYmKiBAwdKkv7yl7/o448/1pIlSy56R%2Bty/Pz8FBUVpdTUVI0dO1bx8fFyOp1u%2BxQWFioiIkKS1LRp0yrbnU6n2rdvX%2BPvmZSUpISEBLe1wMCGKiwsqdXs1QkI8FdY2DUqKipVRUWl0WN7kl1zSfbNZtdcEtl8kV1zSfbOJqlOcjVt2sjo8WrK6wpWWlqaTp48qXbt2rnW%2BvXrp927d2vx4sVavHhxtcfIysrS/Pnz9c4778jf/9ztxvN/v/nmm/Xuu%2B%2B67Z%2Bdna3Y2FhJUkxMjHJycjRy5EhJUkVFhfbv36/ExMQaZ4iMjKzyOLCg4KTKy%2BvmYqioqKyzY3uSXXNJ9s1m11wS2XyRXXNJ9s1mp1xe97Dzo48%2BUnp6uqKiolxrUVFRWrp0qXbv3l2jY8TExKi4uFhLlixRaWmpTpw4oRUrVqhHjx5KTk5WXl6e1q1bp7KyMu3atUu7du3SmDFjJEnJycnasGGD9u7dq9LSUq1atUpBQUHq169fHaQFAAB25HUF6/Tp0woODq6y7u/vr9LS0hodo3HjxlqzZo2ys7N1yy23aNiwYWrcuLH%2B8Ic/qFmzZlq9erVeffVVde/eXYsWLdKSJUt00003SZL69u2rRx55RDNmzFCvXr20Z88eZWRkKCQkxGhOAABgX173iLBnz55avHixZs6c6fppvu%2B//17PPfec20c1VKdjx4565ZVXLvk9Nm7ceMmvvfvuu3X33XfXbnAAAID/z%2BsK1ty5czVhwgTdeuutCg0NVWVlpUpKStS6detLFiYAAABv4nUFq3Xr1nr77bf14Ycf6siRI/L391fbtm3Vp08fBQQEeHo8AACAanldwZKkoKAg10c0AAAA%2BBqvK1jfffedli1bpm%2B%2B%2BUanT5%2Busv2DDz7wwFQAAAA153UFa%2B7cucrPz1efPn3UsGFDT48DAABQa15XsLKzs/XBBx%2B4PlkdAADA13jd52A1a9aMO1cAAMCneV3Bmjx5stLT06/6Fy4DAAB4itc9Ivzwww/1xRdf6M0331SrVq1cv0PwvL/97W8emgwAAKBmvK5ghYaGqm/fvp4eAwAA4Ip5XcFKS0vz9AgAAABXxevegyVJ3377rVasWKHHH3/ctfaPf/zDgxMBAADUnNcVrKysLI0YMULvvfeetmzZIunch4/ee%2B%2B9fMgoAADwCV5XsJ5//nk9%2Buij2rx5s/z8/CSd%2B/2Eixcv1sqVKz08HQAAQPW8rmB9/fXXSk5OliRXwZKkIUOGKDc311NjAQAA1JjXFazGjRtf9HcQ5ufnKygoyAMTAQAA1I7XFaxu3bpp0aJFKi4udq0dOnRIs2fP1q233urByQAAAGrG6z6m4fHHH9d9992n3r17q6KiQt26dVNpaanat2%2BvxYsXe3o8AACAanldwWrRooW2bNmiXbt26dChQwoJCVHbtm112223ub0nCwAAwFt5XcGSpAYNGmjgwIGeHgMAAOCKeF3BSkhIuOydKj4LCwAAeDuvK1hDhw51K1gVFRU6dOiQHA6H7rvvPg9OBgAAUDNeV7BmzZp10fV3331Xf//73%2Bt5GgAAgNrzuo9puJSBAwfq7bff9vQYAAAA1fKZgrV//35ZluXpMQAAAKrldY8Ix44dW2WttLRUubm5GjRokAcmAgAAqB2vK1hRUVFVfoowODhYiYmJGj16tIemAgAAqDmvK1h8WjsAAPB1XlewNmzYUON977zzzjqcBAAA4Mp4XcGaN2%2BeKisrq7yh3c/Pz23Nz8%2BPggUAALyS1xWsl156SWvWrNGUKVPUsWNHWZalr776Sn/84x81btw49e7d29MjAgAAXJbXFazFixcrIyNDzZs3d6316NFDrVu31sSJE7VlyxYPTgcAAFA9r/scrMOHDys8PLzKelhYmPLy8jwwEQAAQO14XcFq2bKlFi9erMLCQtdaUVGRli1bphtuuMGDkwEAANSM1z0inDt3rmbOnKnMzEw1atRI/v7%2BKi4uVkhIiFauXOnp8QAAAKrldQWrT58%2B2rlzp3bt2qVjx47Jsiw1b95cv/rVr9S4cWNPjwcAAFAtrytYknTNNddowIABOnbsmFq3bu3pcQAAAGrF696Ddfr0ac2ePVtdu3bVHXfcIence7AmTZqkoqIiD08HAABQPa8rWEuWLNGBAwe0dOlS%2Bfv/e7yKigotXbrUg5MBAADUjNcVrHfffVfLly/XkCFDXL/0OSwsTGlpaXrvvfc8PB0AAED1vK5glZSUKCoqqsp6RESETp06Vf8DAQAA1JLXFawbbrhBf//73yXJ7XcPbtu2Tb/4xS88NRYAAECNed1PEd599916%2BOGHddddd6myslJ//vOflZ2drXfffVfz5s3z9HgAAADV8rqClZSUpMDAQL366qsKCAjQiy%2B%2BqLZt22rp0qUaMmSIp8cDAAColtcVrBMnTuiuu%2B7SXXfd5elRAAAArojXvQdrwIABbu%2B9AgAA8DVedwerd%2B/eeueddzR06FBPj%2BITeszb5ukRauydGbd5egQAAOqF1xWs66%2B/Xs8%2B%2B6wyMjJ0ww03qEGDBm7bly1b5qHJAAAAasbrCtbBgwf1y1/%2BUpJUWFjo4WkAAABqz2sKVmpqqp5//nm98sorrrWVK1cqJSXFg1MBAADUnte8yX379u1V1jIyMjwwCQAAwNXxmoJ1sZ8cvJqfJszLy1NKSop69%2B6tuLg4zZkzR0VFRZKkAwcOaNy4cerevbsGDRqkNWvWuH3t1q1bNXz4cHXt2lWjRo3SRx99dMVzAACAnx%2BvKVjnf7FzdWs1NWXKFIWFhWn79u1688039c033%2Bi5557T6dOnNXnyZN1yyy3avXu3nn/%2Bea1evdr1i6QPHDig2bNna9asWfrkk080fvx4PfTQQzp27NgVzwIAAH5evKZgmVRUVKSYmBjNnDlTjRo1UosWLTRy5Eh99tln2rlzp86ePaupU6eqYcOG6ty5s0aPHq3MzExJ0rp16xQfH6/4%2BHgFBwdrxIgR6tChgzZt2uThVAAAwFfYsmCFhYUpLS1N1157rWvt6NGjioyMVE5Ojjp27KiAgADXtujoaGVnZ0uScnJyFB0d7Xa86OhoORyO%2BhkeAAD4PK/5KcKzZ89q5syZ1a5dyedgORwOvfrqq1q1apXeeecdhYWFuW1v0qSJnE6nKisr5XQ6FR4e7rY9PDxcBw8erPH3y8/PV0FBgdtaYGBDRUZG1nr2ywkI8K1%2BHBhYs3nP5/K1fDVh12x2zSWRzRfZNZdk72ySvXJ5TcHq3r278vPzq12rrc8//1xTp07VzJkzFRcXp3feeeei%2B/30/V5X%2B6t6MjMzlZ6e7raWkpKi6dOnX9VxfV3Tpo1qtX9Y2DV1NInn2TWbXXNJZPNFds0l2TebnXJ5TcH66edfmbJ9%2B3Y9%2BuijevLJJ3XnnXdKkiIiInT48GG3/ZxOp5o0aSJ/f381bdpUTqezyvaIiIgaf9%2BkpCQlJCS4rQUGNlRhYcmVBbkEX2v6Nc0fEOCvsLBrVFRUqoqKyjqeqn7ZNZtdc0lk80V2zSXZO5ukOslV2/%2B4N8VrCpZpX3zxhWbPnq0XXnhBffr0ca3HxMTotddeU3l5uQIDz8V3OByKjY11bT//fqzzHA6Hhg0bVuPvHRkZWeVxYEHBSZWX2%2B9iqI3a5q%2BoqLTtPzO7ZrNrLolsvsiuuST7ZrNTLt%2B6BVJD5eXleuKJJzRr1iy3ciVJ8fHxCg0N1apVq1RaWqp9%2B/Zp/fr1Sk5OliSNGTNGe/bs0c6dO1VWVqb169fr8OHDGjFihCeiAAAAH2TLO1h79%2B5Vbm6uFi5cqIULF7pt27Ztm1588UU99dRTysjI0LXXXqvU1FT169dPktShQwctXbpUaWlpysvLU7t27bR69Wpdd911HkgCAAB8kS0LVo8ePfTVV19ddp/XXnvtktsGDRqkQYMGmR4LAAD8TNjyESEAAIAnUbAAAAAMo2ABAAAYRsECAAAwzJZvcgcAk3rM2%2BbpEWrlnRm3eXoE4GePO1gAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAw2xas3bt3Ky4uTqmpqVW2bd26VcOHD1fXrl01atQoffTRR65tlZWVev755zVgwAD17NlTEydO1HfffVefowMAAB9ny4L1xz/%2BUQsXLlSbNm2qbDtw4IBmz56tWbNm6ZNPPtH48eP10EMP6dixY5Kkv/71r9q8ebMyMjK0Y8cORUVFKSUlRZZl1XcMAADgo2xZsIKDg7V%2B/fqLFqx169YpPj5e8fHxCg4O1ogRI9ShQwdt2rRJkpSZmanx48frxhtvVGhoqFJTU5Wbm6t9%2B/bVdwwAAOCjbFmw7r33XjVu3Pii23JychQdHe22Fh0dLYfDodOnT%2BvgwYNu20NDQ9WmTRs5HI46nRkAANhHoKcHqG9Op1Ph4eFua%2BHh4Tp48KB%2B/PFHWZZ10e2FhYU1/h75%2BfkqKChwWwsMbKjIyMgrH/wiAgJ8qx8HBtZs3vO5fC1fTdg1m11zSb6Z6ed%2Brdk1l2TvbJK9cv3sCpakat9PdbXvt8rMzFR6errbWkpKiqZPn35Vx/V1TZs2qtX%2BYWHX1NEknmfXbHbN5Wu41s6xay7JvtnslOtnV7CaNm0qp9PptuZ0OhUREaEmTZrI39//otubNWtW4%2B%2BRlJSkhIQEt7XAwIYqLCy58sEvwteafk3zBwT4KyzsGhUVlaqiorKOp6pfds1m11yS711nEteaXXNJ9s4mqU5y1fY/OEz52RWsmJgYZWdnu605HA4NGzZMwcHBat%2B%2BvXJyctSrVy9JUlFRkY4cOaKbb765xt8jMjKyyuPAgoKTKi%2B338VQG7XNX1FRadt/ZnbNZtdcvoZr7Ry75pLsm81OuXzvP82u0pgxY7Rnzx7t3LlTZWVlWr9%2BvQ4fPqwRI0ZIkpKTk7V27Vrl5uaquLhYS5cuVadOndSlSxcPTw4AAHyFLe9gnS9D5eXlkqT3339f0rk7VR06dNDSpUuVlpamvLw8tWvXTqtXr9Z1110nSRo7dqwKCgp0zz33qKSkRL17967yfioAAIDLsWXBqu4jFQYNGqRBgwZddJufn5%2BmT5/%2Bs39DOgAAuHI/u0eEAAAAdY2CBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEUrIvIy8vTgw8%2BqN69e6t///5asmSJKisrPT0WAADwEYGeHsAbPfzww%2BrcubPef/99HT9%2BXJMnT9a1116r%2B%2B%2B/39OjAQAAH8AdrAs4HA59%2BeWXmjVrlho3bqyoqCiNHz9emZmZnh4NAAD4CO5gXSAnJ0ctW7ZUeHi4a61z5846dOiQiouLFRoaWu0x8vPzVVBQ4LYWGNhQkZGRRmcNCPCtfhwYWLN5z%2BfytXw1Yddsds0l%2BWamn/u1Ztdckr2zSfbKRcG6gNPpVFhYmNva%2BbJVWFhYo4KVmZmp9PR0t7XIE7amAAAPS0lEQVSHHnpIDz/8sLlBda7I3dfiGyUlJRkvb56Un5%2Bvl19%2ByXa5JPtms2suyb7XmWTf82bXXFLts3327JB6mOrq5efna8WKFbY6Z/apigZZlnVVX5%2BUlKQ333zT7a%2BkpCRD0/1bQUGB0tPTq9wt83V2zSXZN5tdc0lk80V2zSXZN5sdc3EH6wIRERFyOp1ua06nU35%2BfoqIiKjRMSIjI23TwAEAQO1xB%2BsCMTExOnr0qE6cOOFaczgcateunRo1auTByQAAgK%2BgYF0gOjpaXbp00bJly1RcXKzc3Fz9%2Bc9/VnJysqdHAwAAPiJg/vz58z09hLf51a9%2BpS1btuiZZ57R22%2B/rcTERE2cOFF%2Bfn6eHq2KRo0aqVevXra7u2bXXJJ9s9k1l0Q2X2TXXJJ9s9ktl591te/oBgAAgBseEQIAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsHyMrt371ZcXJxSU1Mvu19lZaWef/55DRgwQD179tTEiRP13XffubY7nU7NmDFDcXFx6tOnj%2BbNm6fTp0/X9fiXVZts6enpSkhIUNeuXZWUlKTPPvvMtf2ee%2B5R586d1aVLF9dfI0aMqOvxL6mmuebMmeP6XZfn/%2BrRo4druy%2Bfs8GDB7vl6tKli2666Sa99dZbkqSEhATFxMS4bZ8yZUp9RLiovLw8paSkqHfv3oqLi9OcOXNUVFR00X23bt2q4cOHq2vXrho1apQ%2B%2Bugj17bqrkNPqE229957TyNGjFDXrl01ePBgvf76665tK1asUKdOnaqc1x9%2B%2BKG%2Boripaa4333xTN910U5W5//nPf0ry7XP2xBNPVMkVHR2txx9/XFL1rzH17csvv9R9992n7t27Ky4uTjNmzFBBQcFF9127dq0GDx6sbt26KTk5WdnZ2a5tZWVl%2Bt3vfqe%2Bffuqd%2B/emj59ugoLC%2BsrxpWz4DUyMjKsQYMGWWPHjrVmzJhx2X3Xrl1r9e/f3zp48KB18uRJ6%2Bmnn7aGDx9uVVZWWpZlWQ899JD14IMPWsePH7eOHTtmJSUlWc8880x9xLio2mT705/%2BZPXr18/6%2BuuvrbKyMmv58uVWr169rJMnT1qWZVnjxo2z3njjjfoYu1q1yTV79mxr%2BfLll9zuy%2BfsQkeOHLFuvfVWq6CgwLIsy%2Brfv7/1ySef1MWYV%2BTXv/61NWfOHKu4uNg6evSoNWrUKGvu3LlV9tu/f78VExNj7dy50zp9%2BrS1ceNGKzY21jp69KhlWdVfh55Q02z79u2zunTpYv3P//yPdfbsWWvnzp1W586drU8//dSyLMtavny5NXv27Poe/5JqmuuNN96wxo0bd8nj%2BPI5u9DZs2etYcOGWTt37rQsq/rXmPpUVlZm3XrrrVZ6erpVVlZmHT9%2B3Bo3bpw1bdq0Kvt%2B8MEHVo8ePay9e/dapaWl1urVq63bbrvNKikpsSzLstLS0qxRo0ZZ//d//2cVFhZaDz30kDV58uT6jlRr3MHyIsHBwVq/fr3atGlT7b6ZmZkaP368brzxRoWGhio1NVW5ubnat2%2BffvjhB73//vtKTU1VRESEmjdvrmnTpumNN97Q2bNn6yFJVbXJ5u/vr8cee0zt27dXUFCQJkyYIKfTqa%2B//roeJq2d2uS6HF8/Zxd69tlnNWHCBF177bV1MNnVKSoqUkxMjGbOnKlGjRqpRYsWGjlypNtd0vPWrVun%2BPh4xcfHKzg4WCNGjFCHDh20adMmSZe/Dj2hNtmcTqcmT56sgQMHKjAwUPHx8erQocNF9/W02uSqji%2Bfswu9/PLL%2BsUvfqH4%2BPh6mLR2SktLlZqaqsmTJysoKEgRERG6/fbb9c0331TZNzMzU6NGjVJsbKxCQkI0adIkSdKOHTtUXl6u9evXa9q0abr%2B%2BuvVpEkTzZgxQzt37tT3339f37FqhYLlRe699141bty42v1Onz6tgwcPKjo62rUWGhqqNm3ayOFw6MCBAwoICFDHjh1d2zt37qxTp07p22%2B/rZPZq1PTbJI0fvx43XHHHa4/Hzt2TJIUGRnpWtu6dauGDh2qrl27avz48Tpy5IjZgWuoNrkk6ZNPPtGdd96prl27KjEx0XUb3NfP2U998sknOnDggO6991639bVr12rgwIHq2rWrpk%2BfruPHj5satVbCwsKUlpbmVv6OHj3q9v%2Bv83JyctyuM0mKjo6Ww%2BGo9jr0hNpk69u3r1JSUlx/Li8vV0FBgZo3b%2B5a%2B%2BqrrzR27Fh169ZNw4YNc3s8Wp9qk%2Bv8tvvvv189e/bUgAEDtHHjRknVv3Z6Qm2znVdUVKQXX3xRjz76qNv6pV5j6lt4eLhGjx6twMBASdK3336rt956y%2B21/bwLrzN/f3916tRJDodDR44c0cmTJ9W5c2fX9htvvFEhISHKycmp%2ByBXgYLlg3788UdZlqXw8HC39fDwcBUWFsrpdCo0NFR%2Bfn5u2yT5xnPrnzhz5ozmzZunESNGqFWrVpLOXVzt27fXf//3f%2BuDDz5QRESEJk2apDNnznh42str3bq12rRpo9WrV2v37t3q0aOHJkyYYLtz9uKLL%2Br%2B%2B%2B9XUFCQa61Tp066%2BeabtXHjRm3dulVOp1O//e1vPTjlvzkcDr366quaOnVqlW1Op/OS11l116E3uFy2Cy1dulQNGzbU0KFDJUktWrRQ69at9dxzz%2Bnjjz/W6NGjNWXKFI8V/p%2B6XK6IiAhFRUXp0Ucf1ccff6xHHnlEc%2BfOVVZWlq3O2auvvqqePXuqffv2rrXLvcZ4Sl5enmJiYjR06FB16dJF06dPr7LP5a4zp9Mp6VwR/amwsDCvOWeXQsHyYZZlXdE2X1FcXKwHHnhAAQEBWrBggWt9/vz5mj17tpo0aaKIiAg9/fTTysvL0%2Beff%2B7BaauXkpKiRYsWqXnz5goNDdWjjz6qoKAgvf/%2B%2B5Lscc6%2B/vpr7d27V2PGjHFbX7lypSZPnqxGjRrp%2Buuv11NPPaVPP/3UY3cez/v88881ceJEzZw5U3FxcRfdp7rz4q3nrSbZpHPzL1myRFu2bNGqVasUHBwsSRo9erSWL1%2BuNm3a6JprrtH48ePVqVMn1%2BNRT6kuV79%2B/fTSSy8pOjpaQUFBGjZsmG6//Xa9%2Beabrn18/ZxVVFTor3/9a5W7xNW9xnhCy5Yt5XA4tG3bNh0%2BfFiPPfbYRffz1evscihYPqhJkyby9/d3NfvznE6nmjVrpoiICBUXF6uiosJtmyQ1a9asXme9UidOnNC4cePUuHFj/elPf1LDhg0vuW9oaKjCw8O9/nn8hQICAnT99dcrPz/fFudMkrZt26ZbbrnlsudLOveiK0n5%2Bfn1MdZFbd%2B%2BXQ8%2B%2BKDmzp1b5V9U5zVt2vSi11lERES116En1SSbdO4n6ubMmaPt27frtdde0y9/%2BcvLHrdly5Zef84u5vzcdjhnkvTpp5/qzJkz1f6E4E9fYzzJz89PUVFRSk1N1ZYtW3TixAm37Ze7ziIiIlx//qkff/zR4%2BesOhQsHxQcHKz27du7PX8uKirSkSNHdPPNN6tTp06yLEtffvmla7vD4VBYWJjatm3riZFrpaysTJMnT1bnzp21fPlyhYSEuLYVFxdr/vz5bmXqxIkTOnHihFq3bu2JcWvEsiylpaW5nZMzZ87oyJEjat26tc%2Bfs/M%2B%2BOAD3XbbbW5reXl5euqpp9we4ebm5kqSx87ZF198odmzZ%2BuFF17QnXfeecn9YmJiqryHxeFwKDY2ttrr0FNqmk2SFi1apG%2B%2B%2BUavvfZalXPxX//1X8rKynJby83N9fpz9tprr2nr1q1ua%2BfntsM5k85dZ7fccovr/U1S9a8x9S0rK0uDBw9WZWWla83f/1zlaNCggdu%2BMTExbuekoqJC%2B/fvV2xsrFq3bq3w8HC37V9//bXOnDmjmJiYOk5xdShYPuL777/XkCFDXJ/XkpycrLVr1yo3N1fFxcVaunSp6zNrIiIiNHjwYP3nf/6nTpw4oWPHjmnlypVKTEx0uyC9xYXZ1qxZowYNGuiZZ55xXZDnhYaGat%2B%2BfVq4cKGcTqd%2B/PFHLViwQB07dlTXrl09Mf4l/TSXn5%2Bf/vWvf2nBggX6/vvvVVJSoqVLl6pBgwYaOHCgz58z6dyL%2BcGDB13vlTuvWbNm2r59uxYvXqxTp07p%2B%2B%2B/V1pamvr37%2B/2hur6Ul5erieeeEKzZs1Snz59qmy/7777XP%2BCHjNmjPbs2aOdO3eqrKxM69ev1%2BHDh12fu3a569ATapPt888/16ZNm5SRkaEmTZpU2dfpdGrBggX69ttvVVZWpjVr1ujIkSMaOXJknee4UG1ynTlzRs8884wcDofOnj2rLVu26MMPP9TYsWMl%2BfY5O%2B/AgQNVrrPqXmPqW0xMjIqLi7VkyRKVlpbqxIkTWrFihXr06KHGjRtryJAhrp%2BUTE5O1oYNG7R3716VlpZq1apVCgoKUr9%2B/RQQEKAxY8boxRdf1NGjR1VYWKg//OEPuv32273yp5R/yvteuX/Gzl/g5eXlkuR6bn7%2BheLQoUOuuwBjx45VQUGB7rnnHpWUlKh3795KT093Hevpp5/WU089pQEDBqhBgwb69a9/Xe2HRdal2mR74403dPToUcXGxrodY%2BrUqZo2bZpWrlypRYsWafDgwTpz5oxuvfVWZWRkVClj9aE2uZ599lk999xzGjVqlIqLi3XzzTfr5Zdfdj1O8%2BVzJp37F3J5eXmVF72QkBC99NJLWrx4sfr27StJuv32210fjljf9u7dq9zcXC1cuFALFy5027Zt2zZ99913%2BvHHHyVJHTp00NKlS5WWlqa8vDy1a9dOq1ev1nXXXSep%2BuuwvtUm2xtvvKGTJ0%2Bqf//%2Bbvv17NlTa9as0cyZMyWd%2B6lep9Opdu3a6S9/%2BYtatGhRP2F%2Boja57r33XpWUlOi3v/2tCgoK1KpVK61cudJ1t8OXz9l5BQUFFy0X1b3G1KfGjRtrzZo1WrhwoettA7fccoueffZZSdKhQ4d06tQpSed%2BovWRRx7RjBkzdPz4cXXp0kUZGRmupxfTp09XSUmJfvOb36i8vFz9%2B/fX/Pnz6z1TbflZvvjOMQAAAC/GI0IAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMOz/Aa2/dwgjw9l6AAAAAElFTkSuQmCC\"/>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common-3460073302413522622\">\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">491</td>\n","        <td class=\"number\">55.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">1</td>\n","        <td class=\"number\">216</td>\n","        <td class=\"number\">24.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:44%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">184</td>\n","        <td class=\"number\">20.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme-3460073302413522622\">\n","            <p class=\"h4\">Minimum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">1</td>\n","        <td class=\"number\">216</td>\n","        <td class=\"number\">24.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:44%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">184</td>\n","        <td class=\"number\">20.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">491</td>\n","        <td class=\"number\">55.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","            <p class=\"h4\">Maximum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">1</td>\n","        <td class=\"number\">216</td>\n","        <td class=\"number\">24.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:44%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">184</td>\n","        <td class=\"number\">20.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:38%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">491</td>\n","        <td class=\"number\">55.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","    </div>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Sex\">Sex<br/>\n","            <small>Categorical</small>\n","        </p>\n","    </div><div class=\"col-md-3\">\n","    <table class=\"stats \">\n","        <tr class=\"\">\n","            <th>Distinct count</th>\n","            <td>2</td>\n","        </tr>\n","        <tr>\n","            <th>Unique (%)</th>\n","            <td>0.2%</td>\n","        </tr>\n","        <tr class=\"ignore\">\n","            <th>Missing (%)</th>\n","            <td>0.0%</td>\n","        </tr>\n","        <tr class=\"ignore\">\n","            <th>Missing (n)</th>\n","            <td>0</td>\n","        </tr>\n","    </table>\n","</div>\n","<div class=\"col-md-6 collapse in\" id=\"minifreqtable-1855033249335826904\">\n","    <table class=\"mini freq\">\n","        <tr class=\"\">\n","    <th>male</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 64.8%\">\n","            577\n","        </div>\n","        \n","    </td>\n","</tr><tr class=\"\">\n","    <th>female</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:54%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 35.2%\">\n","            314\n","        </div>\n","        \n","    </td>\n","</tr>\n","    </table>\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-1855033249335826904, #minifreqtable-1855033249335826904\"\n","       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-1855033249335826904\">\n","    \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">male</td>\n","        <td class=\"number\">577</td>\n","        <td class=\"number\">64.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">female</td>\n","        <td class=\"number\">314</td>\n","        <td class=\"number\">35.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:54%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_SibSp\">SibSp<br/>\n","            <small>Numeric</small>\n","        </p>\n","    </div><div class=\"col-md-6\">\n","    <div class=\"row\">\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","                <tr>\n","                    <th>Distinct count</th>\n","                    <td>7</td>\n","                </tr>\n","                <tr>\n","                    <th>Unique (%)</th>\n","                    <td>0.8%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (n)</th>\n","                    <td>0</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Infinite (n)</th>\n","                    <td>0</td>\n","                </tr>\n","            </table>\n","\n","        </div>\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","\n","                <tr>\n","                    <th>Mean</th>\n","                    <td>0.52301</td>\n","                </tr>\n","                <tr>\n","                    <th>Minimum</th>\n","                    <td>0</td>\n","                </tr>\n","                <tr>\n","                    <th>Maximum</th>\n","                    <td>8</td>\n","                </tr>\n","                <tr class=\"alert\">\n","                    <th>Zeros (%)</th>\n","                    <td>68.2%</td>\n","                </tr>\n","            </table>\n","        </div>\n","    </div>\n","</div>\n","<div class=\"col-md-3 collapse in\" id=\"minihistogram8659858870752709049\">\n","    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAABLCAYAAAA1fMjoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAAR9JREFUeJzt3cEJAjEUQMFVLMki7MmzPVmEPcW7yINd0A06cw/8Qx4hEMhhjDEW4K3j3gPAzE57D/DqfL2vXvO4XT4wCThBIAkEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBIJAIAgEgkAgCASCQCAIBMJ03x9s4csEPsUJAkEgEAQCQSAQBAJBIBAEAkEgEAQCQSAQBAJBIBAEAuEnXvNuMesL4Fnn%2Bld/G8gWazfvtzbur8y1LPPFfhhjjL2HgFm5g0AQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUAQCASBQBAIBIFAEAgEgUB4AgF1HZVgFOXZAAAAAElFTkSuQmCC\">\n","\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#descriptives8659858870752709049,#minihistogram8659858870752709049\"\n","       aria-expanded=\"false\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"row collapse col-md-12\" id=\"descriptives8659858870752709049\">\n","    <ul class=\"nav nav-tabs\" role=\"tablist\">\n","        <li role=\"presentation\" class=\"active\"><a href=\"#quantiles8659858870752709049\"\n","                                                  aria-controls=\"quantiles8659858870752709049\" role=\"tab\"\n","                                                  data-toggle=\"tab\">Statistics</a></li>\n","        <li role=\"presentation\"><a href=\"#histogram8659858870752709049\" aria-controls=\"histogram8659858870752709049\"\n","                                   role=\"tab\" data-toggle=\"tab\">Histogram</a></li>\n","        <li role=\"presentation\"><a href=\"#common8659858870752709049\" aria-controls=\"common8659858870752709049\"\n","                                   role=\"tab\" data-toggle=\"tab\">Common Values</a></li>\n","        <li role=\"presentation\"><a href=\"#extreme8659858870752709049\" aria-controls=\"extreme8659858870752709049\"\n","                                   role=\"tab\" data-toggle=\"tab\">Extreme Values</a></li>\n","\n","    </ul>\n","\n","    <div class=\"tab-content\">\n","        <div role=\"tabpanel\" class=\"tab-pane active row\" id=\"quantiles8659858870752709049\">\n","            <div class=\"col-md-4 col-md-offset-1\">\n","                <p class=\"h4\">Quantile statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Minimum</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>5-th percentile</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q1</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Median</th>\n","                        <td>0</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Q3</th>\n","                        <td>1</td>\n","                    </tr>\n","                    <tr>\n","                        <th>95-th percentile</th>\n","                        <td>3</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Maximum</th>\n","                        <td>8</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Range</th>\n","                        <td>8</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Interquartile range</th>\n","                        <td>1</td>\n","                    </tr>\n","                </table>\n","            </div>\n","            <div class=\"col-md-4 col-md-offset-2\">\n","                <p class=\"h4\">Descriptive statistics</p>\n","                <table class=\"stats indent\">\n","                    <tr>\n","                        <th>Standard deviation</th>\n","                        <td>1.1027</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Coef of variation</th>\n","                        <td>2.1085</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Kurtosis</th>\n","                        <td>17.88</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Mean</th>\n","                        <td>0.52301</td>\n","                    </tr>\n","                    <tr>\n","                        <th>MAD</th>\n","                        <td>0.71378</td>\n","                    </tr>\n","                    <tr class=\"\">\n","                        <th>Skewness</th>\n","                        <td>3.6954</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Sum</th>\n","                        <td>466</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Variance</th>\n","                        <td>1.216</td>\n","                    </tr>\n","                    <tr>\n","                        <th>Memory size</th>\n","                        <td>7.0 KiB</td>\n","                    </tr>\n","                </table>\n","            </div>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-8 col-md-offset-2\" id=\"histogram8659858870752709049\">\n","            <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAGQCAYAAAByNR6YAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzt3XtU1XW%2B//EXsAVF5KaCDVZYXhJhNFNpyPFCpaVHJ6%2BI5xxz0lJDWaLMaF5OuiKxlNV40GXSrCzLNe3R1Xi/HdOsfjJzxspmg5dTXprkaDDIzjC8cPn94U9%2Bs9NyKx/87v3t%2BVjLVX6%2BX777/WKLvvh%2Bv3sTUFdXVycAAAAYE2j1AAAAAHZDwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhjmsHuCnoqzsW%2BPHDAwMUHR0c509e161tXXGj28Vu%2BaS7JvNrrkksvkju%2BaS7JutMXO1bt3C6PG8xRksPxYYGKCAgAAFBgZYPYpRds0l2TebXXNJZPNHds0l2TebHXNRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMIfVAzSmlStXau3ataqsrFS3bt2Uk5Ojtm3bqrCwUHl5eTp%2B/LjuuOMOTZo0SUOHDq3/uDVr1mjt2rUqKytTp06dNHfuXCUmJlqY5If1mLvD6hG8tn36Q1aPAADAbWHbM1hr167Vpk2btGbNGn300Udq37693njjDZWWlurZZ5/VmDFjVFhYqLlz52r%2B/PlyuVySpD179ig/P18vv/yy9u/fr/79%2B2vy5Mn67rvvLE4EAAD8hW0L1uuvv66srCzdc889CgsL07x58zRv3jxt3rxZ8fHxGjlypEJCQpSSkqLU1FStW7dOkuR0OjV8%2BHB17dpVTZs21cSJEyVJe/futTIOAADwI7a8RPj111/r1KlT%2BuabbzRo0CCVl5crOTlZCxYsUHFxsRISEjz2T0hI0Pbt2yVJxcXFGjRoUP22wMBAde7cWS6XS4MHD/bq8UtLS1VWVuax5nCEKiYmpoHJPAUF%2BVc/dji8m/dqLn/L5w27ZrNrLols/siuuST7ZrNjLlsWrDNnzkiSduzYodWrV6uurk6ZmZmaN2%2BeLly4oNjYWI/9IyMjVVFRIUlyu92KiIjw2B4REVG/3RtOp1PLly/3WMvIyFBmZuatxLGNqKjmN7V/eHizRprEenbNZtdcEtn8kV1zSfbNZqdctixYdXV1kqSJEyfWl6lp06bp6aefVkpKitcff6vS0tKUmprqseZwhKqi4nyDjvt9/tb0vc0fFBSo8PBmOneuSjU1tY081e1l12x2zSWRzR/ZNZdk32yNmetmv7k3xZYFq1WrVpKk8PDw%2BrW4uDjV1dXp8uXLcrvdHvtXVFQoOjpakhQVFXXNdrfbrQ4dOnj9%2BDExMddcDiwr%2B1bV1fb5YrgVN5u/pqbWtp8zu2azay6JbP7Irrkk%2B2azUy7/OgXipTZt2igsLEyHDx%2BuXyspKVGTJk3Ut29fFRUVeexfVFSkrl27SpISExNVXFxcv62mpkaHDh2q3w4AAHAjtixYDodDI0eO1Kuvvqovv/xS5eXlWrFihYYMGaJhw4appKRE69at08WLF7Vv3z7t27dPo0ePliSlp6drw4YNOnjwoKqqqrRy5UoFBwerX79%2B1oYCAAB%2Bw5aXCCVp5syZunTpkkaNGqXLly9r4MCBmjdvnpo3b65Vq1YpJydHCxcuVFxcnJYsWaL77rtPktSnTx/NmDFD06dPV3l5uZKSklRQUKCmTZtanAgAAPiLgLqG3tENr5SVfWv8mA5HoB5d%2BqHx4zYWb9/J3eEIVFRUc1VUnLfNtfir7JrNrrkksvkju%2BaS7JutMXO1bt3C6PG8ZctLhAAAAFaiYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAw2xbsDp16qTExEQlJSXV/3rhhRckSYWFhRo5cqS6d%2B%2BuwYMHa9OmTR4fu2bNGg0cOFDdu3dXenq6ioqKrIgAAAD8lMPqARrTjh071LZtW4%2B10tJSPfvss5o7d66GDBmijz/%2BWFOmTFG7du2UlJSkPXv2KD8/X7///e/VqVMnrVmzRpMnT9auXbsUGhpqURIAAOBPbHsG64ds3rxZ8fHxGjlypEJCQpSSkqLU1FStW7dOkuR0OjV8%2BHB17dpVTZs21cSJEyVJe/futXJsAADgR2x9BisvL0%2BffvqpKisr9fjjj2v27NkqLi5WQkKCx34JCQnavn27JKm4uFiDBg2q3xYYGKjOnTvL5XJp8ODBXj1uaWmpysrKPNYcjlDFxMQ0MJGnoCD/6scOh3fzXs3lb/m8Yddsds0lkc0f2TWXZN9sdsxl24LVrVs3paSk6KWXXtJXX32l6dOna%2BHChXK73YqNjfXYNzIyUhUVFZIkt9utiIgIj%2B0RERH1273hdDq1fPlyj7WMjAxlZmbeYhp7iIpqflP7h4c3a6RJrGfXbHbNJZHNH9k1l2TfbHbKZduC5XQ66///3nvvVXZ2tqZMmaIHHnjghh9bV1fXoMdOS0tTamqqx5rDEaqKivMNOu73%2BVvT9zZ/UFCgwsOb6dy5KtXU1DbyVLeXXbPZNZdENn9k11ySfbM1Zq6b/ebeFNsWrO9r27atampqFBgYKLfb7bGtoqJC0dHRkqSoqKhrtrvdbnXo0MHrx4qJibnmcmBZ2beqrrbPF8OtuNn8NTW1tv2c2TWbXXNJZPNHds0l2TebnXL51ykQLx06dEiLFy/2WDt27JiCg4PVt2/fa952oaioSF27dpUkJSYmqri4uH5bTU2NDh06VL8dAADgRmxZsFq2bCmn06mCggJdunRJJ06c0LJly5SWlqZf/epXKikp0bp163Tx4kXt27dP%2B/bt0%2BjRoyVJ6enp2rBhgw4ePKiqqiqtXLlSwcHB6tevn7WhAACA37DlJcLY2FgVFBQoLy%2BvviANGzZMWVlZCgkJ0apVq5STk6OFCxcqLi5OS5Ys0X333SdJ6tOnj2bMmKHp06ervLxcSUlJKigoUNOmTS1OBQAA/IUtC5Yk9ezZU%2B%2B8884Pbtu4ceMPfuzYsWM1duzYxhoNAADYnC0vEQIAAFiJggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADPtJFKxFixapU6dO9b8vLCzUyJEj1b17dw0ePFibNm3y2H/NmjUaOHCgunfvrvT0dBUVFd3ukQEAgB%2BzfcE6fPiwNm7cWP/70tJSPfvssxozZowKCws1d%2B5czZ8/Xy6XS5K0Z88e5efn6%2BWXX9b%2B/fvVv39/TZ48Wd99951VEQAAgJ%2BxdcGqra3V888/r/Hjx9evbd68WfHx8Ro5cqRCQkKUkpKi1NRUrVu3TpLkdDo1fPhwde3aVU2bNtXEiRMlSXv37rUiAgAA8EMOqwdoTO%2B8845CQkI0ZMgQ/e53v5MkFRcXKyEhwWO/hIQEbd%2B%2BvX77oEGD6rcFBgaqc%2BfOcrlcGjx4sFePW1paqrKyMo81hyNUMTExDYlzjaAg/%2BrHDod3817N5W/5vGHXbHbNJZHNH9k1l2TfbHbMZduC9Y9//EP5%2Bfl66623PNbdbrdiY2M91iIjI1VRUVG/PSIiwmN7RERE/XZvOJ1OLV%2B%2B3GMtIyNDmZmZNxPBdqKimt/U/uHhzRppEuvZNZtdc0lk80d2zSXZN5udctm2YOXm5mr48OFq3769Tp06dVMfW1dX16DHTktLU2pqqseawxGqiorzDTru9/lb0/c2f1BQoMLDm%2BncuSrV1NQ28lS3l12z2TWXRDZ/ZNdckn2zNWaum/3m3hRbFqzCwkJ9%2Bumn2rJlyzXboqKi5Ha7PdYqKioUHR39g9vdbrc6dOjg9ePHxMRcczmwrOxbVVfb54vhVtxs/pqaWtt%2Bzuyaza65JLL5I7vmkuybzU65/OsUiJc2bdqk8vJy9e/fX8nJyRo%2BfLgkKTk5WR07drzmbReKiorUtWtXSVJiYqKKi4vrt9XU1OjQoUP12wEAAG7ElgVr9uzZ2rlzpzZu3KiNGzeqoKBAkrRx40YNGTJEJSUlWrdunS5evKh9%2B/Zp3759Gj16tCQpPT1dGzZs0MGDB1VVVaWVK1cqODhY/fr1szARAADwJ7a8RBgREeFxo3p1dbUkqU2bNpKkVatWKScnRwsXLlRcXJyWLFmi%2B%2B67T5LUp08fzZgxQ9OnT1d5ebmSkpJUUFCgpk2b3v4gAADAL9myYH1f27ZtdfTo0frf9%2BzZ0%2BPNR79v7NixGjt27O0YDQAA2JAtLxECAABYyecKVmpqqpYvX67Tp09bPQoAAMAt8bmCNWLECG3btk2PPPKIJk6cqF27dtXfQwUAAOAPfK5gZWRkaNu2bfrjH/%2BoDh06aNGiRerbt6%2BWLFmiEydOWD0eAADADflcwbqqS5cumjVrlvbu3as5c%2Bboj3/8owYNGqQJEybob3/7m9XjAQAA/CCfLViXL1/Wtm3b9PTTT2vWrFmKjY3Vc889p86dO2v8%2BPHavHmz1SMCAABcl8%2B9TcOxY8e0fv16bdiwQefPn9fAgQP15ptv6oEHHqjfp2fPnlqwYIGGDBli4aQAAADX53MFa/DgwWrXrp0mTZqkJ554QpGRkdfs07dvX509e9aC6QAAAG7M5wrWmjVr1KtXrxvu99lnn92GaQAAAG6ez92D1alTJ02ePFm7d%2B%2BuX3vjjTf09NNPy%2B12WzgZAACAd3yuYOXm5urbb79V%2B/bt69f69eun2tpaLV682MLJAAAAvONzlwg/%2Bugjbd68WVFRUfVr8fHxWrp0qf7lX/7FwskAAAC843NnsC5cuKCQkJBr1gMDA1VVVWXBRAAAADfH5wpWz549tXjxYn3zzTf1a19//bUWLlzo8VYNAAAAvsrnLhHOmTNHTz31lH7xi18oLCxMtbW1On/%2BvO6880699dZbVo8HAABwQz5XsO68805t3bpVH3zwgf7%2B978rMDBQ7dq1U%2B/evRUUFGT1eAAAADfkcwVLkoKDg/XII49YPQYAAMAt8bmC9dVXXykvL0%2Bff/65Lly4cM329957z4KpAAAAvOdzBWvOnDkqLS1V7969FRoaavU4AAAAN83nClZRUZHee%2B89RUdHWz0KAADALfG5t2lo2bIlZ64AAIBf87mCNWnSJC1fvlx1dXVWjwIAAHBLfO4S4QcffKBPPvlE7777rtq2bavAQM8O%2BM4771g0GQAAgHd8rmCFhYWpT58%2BVo8BAABwy3yuYOXm5lo9AgAAQIP43D1YknT8%2BHHl5%2Bfrueeeq1/79NNPLZwIAADAez5XsAoLCzV06FDt2rVLW7ZskXTlzUfHjRvHm4wCAAC/4HMF65VXXtFvfvMbbd68WQEBAZKu/HzCxYsXa8WKFRZPBwAAcGM%2BV7D%2B53/%2BR%2Bnp6ZJUX7Ak6bHHHtOxY8esGgsAAMBrPlewWrRocd2fQVhaWqrg4GALJgIAALg5PlewunfvrkWLFqmysrJ%2B7cSJE5o1a5Z%2B8YtfWDgZAACAd3zubRqee%2B45Pfnkk0pOTlZNTY26d%2B%2BuqqoqdejQQYsXL7Z6PAAAgBvyuYLVpk0bbdmyRfv27dOJEyfUtGlTtWvXTg899JDHPVkAAAC%2ByucKliQ1adJEjzzyiNVjAAAA3BKfK1ipqak/eqaK98ICAAC%2BzucK1qBBgzwKVk1NjU6cOCGXy6Unn3zSwskAAAC843MFKzs7%2B7rrO3fu1F/%2B8pfbPA0AAMDN87m3afghjzzyiLZu3Wr1GAAAADfkNwXr0KFDqqurs3oMAACAG/K5S4Rjxoy5Zq2qqkrHjh3TgAEDvD7OkSNHlJubq6KiIoWEhKhXr16aO3euWrdurcLCQuXl5en48eO64447NGnSJA0dOrT%2BY9esWaO1a9eqrKxMnTp10ty5c5WYmGgkHwAAsD%2BfO4MVHx%2Bvdu3aefy6//77NWvWLC1atMirY1y6dElPPfWUevXqpcLCQm3ZskXl5eVasGCBSktL9eyzz2rMmDEqLCzU3LlzNX/%2BfLlcLknSnj17lJ%2Bfr5dffln79%2B9X//79NXnyZH333XeNGRsAANiIz53BMvFu7VVVVcrKytKwYcPkcDgUHR2tRx99VG%2B//bY2b96s%2BPh4jRw5UpKUkpKi1NRUrVu3TklJSXI6nRo%2BfLi6du0qSZo4caLWrFmjvXv3avDgwQ2eDQAA2J/PFawNGzZ4ve8TTzxx3fWIiAiNGjWq/vfHjx/Xn/70Jz3%2B%2BOMqLi5WQkKCx/4JCQnavn27JKm4uFiDBg2q3xYYGKjOnTvL5XJRsAAAgFd8rmDNnTtXtbW119zQHhAQ4LEWEBDwgwXrqpKSEg0cOFDV1dUaPXq0MjMz9fTTTys2NtZjv8jISFVUVEiS3G63IiIiPLZHRETUb/dGaWmpysrKPNYcjlDFxMR4fQxvBAX53BXeH%2BVweDfv1Vz%2Bls8bds1m11wS2fyRXXNJ9s1mx1w%2BV7B%2B//vf6/XXX9fkyZPVqVMn1dXV6ejRo3rttdf0b//2b0pOTvb6WHFxcXK5XPryyy/1H//xH/rtb3/r1cc19NWKTqdTy5cv91jLyMhQZmZmg47r76Kimt/U/uHhzRppEuvZNZtdc0lk80d2zSXZN5udcvlcwVq8eLEKCgo8zjL16NFDd955pyZMmKAtW7bc1PECAgIUHx%2BvrKwsjRkzRn379pXb7fbYp6KiQtHR0ZKkqKioa7a73W516NDB68dMS0tTamqqx5rDEaqKivM3NfuN%2BFvT9zZ/UFCgwsOb6dy5KtXU1DbyVLeXXbPZNZdENn9k11ySfbM1Zq6b/ebeFJ8rWCdPnrzmEp0khYeHq6SkxKtjFBYWasGCBdq%2BfbsCA6%2BUkKv//fnPf66dO3d67F9UVFR/U3tiYqKKi4s1bNgwSVd%2BVM%2BhQ4fqb4r3RkxMzDWXA8vKvlV1tX2%2BGG7Fzeavqam17efMrtnsmksimz%2Byay7JvtnslMvnToHExcVp8eLFHvc8nTt3Tnl5ebrrrru8OkZiYqIqKyu1ZMkSVVVV6ezZs8rPz1ePHj2Unp6ukpISrVu3ThcvXtS%2Bffu0b98%2BjR49WpKUnp6uDRs26ODBg6qqqtLKlSsVHBysfv36NUZcAABgQz53BmvOnDmaOXOmnE6nmjdvrsDAQFVWVqpp06ZasWKFV8do0aKFXn/9deXk5OjBBx9UaGioHnzwQb344otq2bKlVq1apZycHC1cuFBxcXFasmSJ7rvvPklSnz59NGPGDE2fPl3l5eVKSkpSQUGBmjZt2pixAQCAjQTU%2BeDPn6mqqtK%2Bfft05swZ1dXVKTY2Vr/85S/VokULq0e7ZWVl3xo/psMRqEeXfmj8uI1l%2B/SHvNrP4QhUVFRzVVSct82p4qvsms2uuSSy%2BSO75pLsm60xc7VubU138LkzWJLUrFkzPfzwwzpz5ozuvPNOq8cBAAC4KT53D9aFCxc0a9Ys3X///Xr88cclXbkHa%2BLEiTp37pzF0wEAANyYzxWsJUuW6PDhw1q6dGn9K/%2BkK6/mW7p0qYWTAQAAeMfnCtbOnTv1n//5n3rssccUEBAg6cpbNOTm5mrXrl0WTwcAAHBjPlewzp8/r/j4%2BGvWo6Oj9d13393%2BgQAAAG6SzxWsu%2B66S3/5y18kef7Imh07duhnP/uZVWMBAAB4zedeRTh27FhNmzZNI0aMUG1trVavXq2ioiLt3LlTc%2BfOtXo8AACAG/K5gpWWliaHw6G3335bQUFBevXVV9WuXTstXbpUjz32mNXjAQAA3JDPFayzZ89qxIgRGjFihNWjAAAA3BKfuwfr4Ycflg%2B%2BuTwAAIDXfK5gJScna/v27VaPAQAAcMt87hLhHXfcoRdffFEFBQW666671KRJE4/teXl5Fk0GAADgHZ8rWF988YXuueceSVJFRYXF0wAAANw8nylYWVlZeuWVV/TWW2/Vr61YsUIZGRkWTgUAAHDzfOYerD179lyzVlBQYMEkAAAADeMzBet6rxzk1YQAAMAf%2BUzBuvqDnW%2B0BgAA4Ot8pmABAADYBQULAADAMJ95FeHly5c1c%2BbMG67xPlgAAMDX%2BUzBeuCBB1RaWnrDNQAAAF/nMwXrn9//CgAAwJ9xDxYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEOqwdoLCUlJVq0aJEOHDigoKAg9enTR3PmzFF4eLgOHz6sF198UYcPH1bLli01ZswYPfXUU/Ufu23bNq1cuVKnTp1Su3btNGPGDPXu3dvCNPbw%2BO/%2Bj9Uj3JTt0x%2ByegQAgJ%2By7RmsyZMnKzw8XHv27NG7776rzz//XC%2B99JIuXLigSZMm6cEHH9SHH36oV155RatWrdKuXbskSYcPH9asWbOUnZ2tP//5zxo/frymTp2qM2fOWJwIAAD4C1sWrHPnzikxMVEzZ85U8%2BbN1aZNGw0bNkwHDhzQ%2B%2B%2B/r8uXL2vKlCkKDQ1Vly5dNGrUKDmdTknSunXr1LdvX/Xt21chISEaOnSoOnbsqE2bNlmcCgAA%2BAtbFqzw8HDl5uaqVatW9WunT59WTEyMiouL1alTJwUFBdVvS0hIUFFRkSSpuLhYCQkJHsdLSEiQy%2BW6PcMDAAC/Z9t7sP6Zy%2BXS22%2B/rZUrV2r79u0KDw/32B4ZGSm3263a2lq53W5FRER4bI%2BIiNAXX3zh9eOVlpaqrKzMY83hCFVMTMyth7iOoCBb9mOf4XCY//xefc7s9tzZNZdENn9k11ySfbPZMZftC9bHH3%2BsKVOmaObMmUpJSdH27duvu19AQED9/9fV1TXoMZ1Op5YvX%2B6xlpGRoczMzAYdF7dXVFTzRjt2eHizRju2leyaSyKbP7JrLsm%2B2eyUy9YFa8%2BePfrNb36j%2BfPn64knnpAkRUdH6%2BTJkx77ud1uRUZGKjAwUFFRUXK73ddsj46O9vpx09LSlJqa6rHmcISqouL8rQX5AXZq%2Br7I9PMlXXnOwsOb6dy5KtXU1Bo/vlXsmksimz%2Byay7JvtkaM1djfrP8Y2xbsD755BPNmjVLy5Yt83iLhcTERP3hD39QdXW1HI4r8V0ul7p27Vq//er9WFe5XC4NHjzY68eOiYm55nJgWdm3qq62zxfDT0FjPl81NbW2/PNg11wS2fyRXXNJ9s1mp1y2PAVSXV2tefPmKTs7%2B5r3r%2Brbt6/CwsK0cuVKVVVV6bPPPtP69euVnp4uSRo9erT279%2Bv999/XxcvXtT69et18uRJDR061IooAADAD9nyDNbBgwd17Ngx5eTkKCcnx2Pbjh079Oqrr%2Br5559XQUGBWrVqpaysLPXr10%2BS1LFjRy1dulS5ubkqKSlR%2B/bttWrVKrVu3dqCJAAAwB/ZsmD16NFDR48e/dF9/vCHP/zgtgEDBmjAgAGmxwIAAD8RtrxECAAAYCUKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwzLYF68MPP1RKSoqysrKu2bZt2zYNGTJE999/v4YPH66PPvqoflttba1eeeUVPfzww%2BrZs6cmTJigr7766naODgAA/JwtC9Zrr72mnJwc3X333ddsO3z4sGbNmqXs7Gz9%2Bc9/1vjx4zV16lSdOXNGkrR27Vpt3rxZBQUF2rt3r%2BLj45WRkaG6urrbHQMAAPgpWxaskJAQrV%2B//roFa926derbt6/69u2rkJAQDR06VB07dtSmTZskSU6nU%2BPHj9e9996rsLAwZWVl6dixY/rss89udwwAAOCnbFmwxo0bpxYtWlx3W3FxsRISEjzWEhIS5HK5dOHCBX3xxRce28PCwnT33XfL5XI16swAAMA%2BHFYPcLu53W5FRER4rEVEROiLL77QN998o7q6uutur6io8PoxSktLVVZW5rHmcIQqJibm1gc%2BSlQDAAAMvklEQVS/jqAgW/Zjn%2BFwmP/8Xn3O7Pbc2TWXRDZ/ZNdckn2z2THXT65gSbrh/VQNvd/K6XRq%2BfLlHmsZGRnKzMxs0HFxe0VFNW%2B0Y4eHN2u0Y1vJrrkksvkju%2BaS7JvNTrl%2BcgUrKipKbrfbY83tdis6OlqRkZEKDAy87vaWLVt6/RhpaWlKTU31WHM4QlVRcf7WB78OOzV9X2T6%2BZKuPGfh4c107lyVampqjR/fKnbNJZHNH9k1l2TfbI2ZqzG/Wf4xP7mClZiYqKKiIo81l8ulwYMHKyQkRB06dFBxcbF69eolSTp37pz%2B/ve/6%2Bc//7nXjxETE3PN5cCysm9VXW2fL4afgsZ8vmpqam3558GuuSSy%2BSO75pLsm81OuX5yp0BGjx6t/fv36/3339fFixe1fv16nTx5UkOHDpUkpaena82aNTp27JgqKyu1dOlSde7cWUlJSRZPDgAA/IUtz2BdLUPV1dWSpN27d0u6cqaqY8eOWrp0qXJzc1VSUqL27dtr1apVat26tSRpzJgxKisr07//%2B7/r/PnzSk5OvuZ%2BKgAAgB9jy4J1o7dUGDBggAYMGHDdbQEBAcrMzOSGdAAAcMt%2BcpcIAQAAGhsFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjIIFAABgGAULAADAMAoWAACAYRQsAAAAwyhYAAAAhlGwAAAADKNgAQAAGEbBAgAAMIyCBQAAYBgFCwAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAxzWD0A4Kse/93/sXqEm7J9%2BkNWjwAA%2BH84gwUAAGAYBQsAAMAwChYAAIBhFCwAAADDuMkdAG6gx9wdVo9wU3jBA2A9ChZgE/70qkcKAAC74xIhAACAYRQsAAAAwyhYAAAAhnEP1nWUlJRo4cKF%2BuyzzxQaGqpBgwZp5syZCgykjwIA/Ic/3Zt54MXHrB7BKArWdUybNk1dunTR7t27VV5erkmTJqlVq1b69a9/bfVoAHBD/vSPKi94gF1xSuZ7XC6Xjhw5ouzsbLVo0ULx8fEaP368nE6n1aMBAAA/wRms7ykuLlZcXJwiIiLq17p06aITJ06osrJSYWFhNzxGaWmpysrKPNYcjlDFxMQYnTUoiH4M/%2BRw%2BM%2BfXb7OGldj/Fm4%2BpzZ8bmzczbJXrkoWN/jdrsVHh7usXa1bFVUVHhVsJxOp5YvX%2B6xNnXqVE2bNs3coLpS5J5s87nS0tKMlzcrlZaWyul02i6XZN9sds0l2ffrTLLv81ZaWqo33/y97XJJN5/NX%2B5rKi0tVX5%2Bvq2eM/tURYPq6uoa9PFpaWl69913PX6lpaUZmu7/Kysr0/Lly685W%2Bbv7JpLsm82u%2BaSyOaP7JpLsm82O%2BbiDNb3REdHy%2B12e6y53W4FBAQoOjraq2PExMTYpoEDAICbxxms70lMTNTp06d19uzZ%2BjWXy6X27durefPmFk4GAAD8BQXrexISEpSUlKS8vDxVVlbq2LFjWr16tdLT060eDQAA%2BImgBQsWLLB6CF/zy1/%2BUlu2bNELL7ygrVu3auTIkZowYYICAgKsHu0azZs3V69evWx3ds2uuST7ZrNrLols/siuuST7ZrNbroC6ht7RDQAAAA9cIgQAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAMo2ABAAAYRsECAAAwjILlh0pKSvTMM88oOTlZ/fv315IlS1RbW2v1WMZ8%2BOGHSklJUVZWltWjGFVSUqKMjAwlJycrJSVFs2fP1rlz56weq8GOHDmiJ598Ug888IBSUlI0ffp0lZWVWT2WUYsWLVKnTp2sHsOYTp06KTExUUlJSfW/XnjhBavHMmblypXq3bu3unXrpvHjx%2BvUqVNWj9Rgf/3rXz2er6SkJCUmJtriz%2BWhQ4c0btw49ejRQw899JCys7N19uxZq8dqMAqWH5o2bZpiY2O1e/durV69Wrt379abb75p9VhGvPbaa8rJydHdd99t9SjGTZ48WeHh4dqzZ4/effddff7553rppZesHqtBLl26pKeeekq9evVSYWGhtmzZovLyctnpR5wePnxYGzdutHoM43bs2CGXy1X/a/78%2BVaPZMTatWu1adMmrVmzRh999JHat2%2BvN954w%2BqxGqxnz54ez5fL5dLUqVP1%2BOOPWz1ag1RXV%2BuZZ55Rt27dtH//fm3ZskVnz561xd8hFCw/43K5dOTIEWVnZ6tFixaKj4/X%2BPHj5XQ6rR7NiJCQEK1fv952BevcuXNKTEzUzJkz1bx5c7Vp00bDhg3TgQMHrB6tQaqqqpSVlaVJkyYpODhY0dHRevTRR/X5559bPZoRtbW1ev755zV%2B/HirR4GXXn/9dWVlZemee%2B5RWFiY5s2bp3nz5lk9lnH/%2B7//q9WrV%2Bu3v/2t1aM0SFlZmcrKyvSrX/1KwcHBioqK0qOPPqrDhw9bPVqDUbD8THFxseLi4hQREVG/1qVLF504cUKVlZUWTmbGuHHj1KJFC6vHMC48PFy5ublq1apV/drp06cVExNj4VQNFxERoVGjRsnhcEiSjh8/rj/96U9%2B/131Ve%2B8845CQkI0ZMgQq0cxLi8vT/369VOPHj00f/58nT9/3uqRGuzrr7/WqVOn9M0332jQoEFKTk5WZmamLS43fd%2ByZcs0YsQI/exnP7N6lAaJjY1V586d5XQ6df78eZWXl2vXrl3q16%2Bf1aM1GAXLz7jdboWHh3usXS1bFRUVVoyEW%2BByufT2229rypQpVo9iRElJiRITEzVo0CAlJSUpMzPT6pEa7B//%2BIfy8/P1/PPPWz2Kcd26dVNKSop27dolp9OpgwcPauHChVaP1WBnzpyRdOXy5%2BrVq7Vx40adOXPGdmewTp06pV27dunXv/611aM0WGBgoPLz8/Xee%2B%2Bpe/fuSklJUXV1tWbOnGn1aA1GwfJDdXV1Vo%2BABvj44481YcIEzZw5UykpKVaPY0RcXJxcLpd27NihkydP%2Bv1lC0nKzc3V8OHD1b59e6tHMc7pdGrUqFEKDg7Wvffeq%2BzsbG3ZskWXLl2yerQGufp348SJExUbG6s2bdpo2rRp2rNnjy5evGjxdOasXbtWAwYMUOvWra0epcEuXbqkyZMn67HHHtOBAwf0wQcfqEWLFsrOzrZ6tAajYPmZ6Ohoud1ujzW3262AgABFR0dbNBW8tWfPHj3zzDOaM2eOxo0bZ/U4RgUEBCg%2BPl5ZWVn1N6r6q8LCQn366afKyMiwepTbom3btqqpqVF5ebnVozTI1Uvw/3yWPy4uTnV1dX6f7Z/t3LlTqampVo9hRGFhoU6dOqUZM2aoRYsWio2NVWZmpv7rv/7rmn/r/A0Fy88kJibq9OnTHv94uVwutW/fXs2bN7dwMtzIJ598olmzZmnZsmV64oknrB7HiMLCQg0cONDjbUICA6/8tdKkSROrxmqwTZs2qby8XP3791dycrKGDx8uSUpOTtbWrVstnq5hDh06pMWLF3usHTt2TMHBwX5/T2CbNm0UFhbmcYN0SUmJmjRp4vfZrjp8%2BLBKSkr00EMPWT2KETU1NaqtrfW4MuPvZ1KvomD5mYSEBCUlJSkvL0%2BVlZU6duyYVq9erfT0dKtHw4%2Borq7WvHnzlJ2drd69e1s9jjGJiYmqrKzUkiVLVFVVpbNnzyo/P189evTw6xcrzJ49Wzt37tTGjRu1ceNGFRQUSJI2btzo92cOWrZsKafTqYKCAl26dEknTpzQsmXLlJaWpqCgIKvHaxCHw6GRI0fq1Vdf1Zdffqny8nKtWLFCQ4YMqX8hhr87dOiQIiMjFRYWZvUoRtx///0KDQ1Vfn6%2BqqqqVFFRoZUrV6pnz56KjIy0erwGCajjhh6/c%2BbMGc2fP1///d//rbCwMI0ZM0ZTp05VQECA1aM1WFJSkqQrhURS/V%2BKLpfLsplMOHDggP71X/9VwcHB12zbsWOH4uLiLJjKjKNHjyonJ0d/%2B9vfFBoaqgcffFCzZ89WbGys1aMZc%2BrUKT388MM6evSo1aMY8de//lV5eXk6evSogoODNWzYMGVlZSkkJMTq0Rrs0qVLys3N1datW3X58mUNHDhQ8%2BfPt80Z/lWrVmnz5s3asmWL1aMYU1RUpJdeeklHjhxRcHCwevXqZYu/QyhYAAAAhnGJEAAAwDAKFgAAgGEULAAAAMMoWAAAAIZRsAAAAAyjYAEAABhGwQIAADCMggUAAGAYBQsAAMAwChYAAIBhFCwAAADDKFgAAACGUbAAAAAM%2B7%2B69GkTvWIoZgAAAABJRU5ErkJggg%3D%3D\"/>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\" id=\"common8659858870752709049\">\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">0</td>\n","        <td class=\"number\">608</td>\n","        <td class=\"number\">68.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">1</td>\n","        <td class=\"number\">209</td>\n","        <td class=\"number\">23.5%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">28</td>\n","        <td class=\"number\">3.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">4</td>\n","        <td class=\"number\">18</td>\n","        <td class=\"number\">2.0%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">16</td>\n","        <td class=\"number\">1.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">8</td>\n","        <td class=\"number\">7</td>\n","        <td class=\"number\">0.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:2%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">5</td>\n","        <td class=\"number\">5</td>\n","        <td class=\"number\">0.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","        <div role=\"tabpanel\" class=\"tab-pane col-md-12\"  id=\"extreme8659858870752709049\">\n","            <p class=\"h4\">Minimum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">0</td>\n","        <td class=\"number\">608</td>\n","        <td class=\"number\">68.2%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">1</td>\n","        <td class=\"number\">209</td>\n","        <td class=\"number\">23.5%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:35%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">28</td>\n","        <td class=\"number\">3.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:5%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">16</td>\n","        <td class=\"number\">1.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">4</td>\n","        <td class=\"number\">18</td>\n","        <td class=\"number\">2.0%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:3%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","            <p class=\"h4\">Maximum 5 values</p>\n","            \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">2</td>\n","        <td class=\"number\">28</td>\n","        <td class=\"number\">3.1%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3</td>\n","        <td class=\"number\">16</td>\n","        <td class=\"number\">1.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:57%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">4</td>\n","        <td class=\"number\">18</td>\n","        <td class=\"number\">2.0%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:64%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">5</td>\n","        <td class=\"number\">5</td>\n","        <td class=\"number\">0.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:18%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">8</td>\n","        <td class=\"number\">7</td>\n","        <td class=\"number\">0.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:25%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","        </div>\n","    </div>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Survived\">Survived<br/>\n","            <small>Boolean</small>\n","        </p>\n","    </div><div class=\"col-md-6\">\n","    <div class=\"row\">\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","                <tr class=\"\">\n","                    <th>Distinct count</th>\n","                    <td>2</td>\n","                </tr>\n","                <tr>\n","                    <th>Unique (%)</th>\n","                    <td>0.2%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (%)</th>\n","                    <td>0.0%</td>\n","                </tr>\n","                <tr class=\"ignore\">\n","                    <th>Missing (n)</th>\n","                    <td>0</td>\n","                </tr>\n","            </table>\n","        </div>\n","        <div class=\"col-sm-6\">\n","            <table class=\"stats \">\n","                <tr>\n","                    <th>Mean</th>\n","                    <td>0.38384</td>\n","                </tr>\n","            </table>\n","        </div>\n","    </div>\n","</div>\n","<div class=\"col-md-3 collapse in\" id=\"minifreqtable-4759210686237630450\">\n","    <table class=\"mini freq\">\n","        <tr class=\"\">\n","    <th>0</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 61.6%\">\n","            549\n","        </div>\n","        \n","    </td>\n","</tr><tr class=\"\">\n","    <th>1</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:62%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 38.4%\">\n","            342\n","        </div>\n","        \n","    </td>\n","</tr>\n","    </table>\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-4759210686237630450, #minifreqtable-4759210686237630450\"\n","        aria-expanded=\"true\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-4759210686237630450\">\n","    \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">0</td>\n","        <td class=\"number\">549</td>\n","        <td class=\"number\">61.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">1</td>\n","        <td class=\"number\">342</td>\n","        <td class=\"number\">38.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:62%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","</div>\n","</div><div class=\"row variablerow\">\n","    <div class=\"col-md-3 namecol\">\n","        <p class=\"h4 pp-anchor\" id=\"pp_var_Ticket\">Ticket<br/>\n","            <small>Categorical</small>\n","        </p>\n","    </div><div class=\"col-md-3\">\n","    <table class=\"stats \">\n","        <tr class=\"alert\">\n","            <th>Distinct count</th>\n","            <td>681</td>\n","        </tr>\n","        <tr>\n","            <th>Unique (%)</th>\n","            <td>76.4%</td>\n","        </tr>\n","        <tr class=\"ignore\">\n","            <th>Missing (%)</th>\n","            <td>0.0%</td>\n","        </tr>\n","        <tr class=\"ignore\">\n","            <th>Missing (n)</th>\n","            <td>0</td>\n","        </tr>\n","    </table>\n","</div>\n","<div class=\"col-md-6 collapse in\" id=\"minifreqtable-8026753753785516481\">\n","    <table class=\"mini freq\">\n","        <tr class=\"\">\n","    <th>347082</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 0.8%\">\n","            &nbsp;\n","        </div>\n","        7\n","    </td>\n","</tr><tr class=\"\">\n","    <th>CA. 2343</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 0.8%\">\n","            &nbsp;\n","        </div>\n","        7\n","    </td>\n","</tr><tr class=\"\">\n","    <th>1601</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:1%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 0.8%\">\n","            &nbsp;\n","        </div>\n","        7\n","    </td>\n","</tr><tr class=\"other\">\n","    <th>Other values (678)</th>\n","    <td>\n","        <div class=\"bar\" style=\"width:100%\" data-toggle=\"tooltip\" data-placement=\"right\" data-html=\"true\"\n","             data-delay=500 title=\"Percentage: 97.6%\">\n","            870\n","        </div>\n","        \n","    </td>\n","</tr>\n","    </table>\n","</div>\n","<div class=\"col-md-12 text-right\">\n","    <a role=\"button\" data-toggle=\"collapse\" data-target=\"#freqtable-8026753753785516481, #minifreqtable-8026753753785516481\"\n","       aria-expanded=\"true\" aria-controls=\"collapseExample\">\n","        Toggle details\n","    </a>\n","</div>\n","<div class=\"col-md-12 extrapadding collapse\" id=\"freqtable-8026753753785516481\">\n","    \n","<table class=\"freq table table-hover\">\n","    <thead>\n","    <tr>\n","        <td class=\"fillremaining\">Value</td>\n","        <td class=\"number\">Count</td>\n","        <td class=\"number\">Frequency (%)</td>\n","        <td style=\"min-width:200px\">&nbsp;</td>\n","    </tr>\n","    </thead>\n","    <tr class=\"\">\n","        <td class=\"fillremaining\">347082</td>\n","        <td class=\"number\">7</td>\n","        <td class=\"number\">0.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">CA. 2343</td>\n","        <td class=\"number\">7</td>\n","        <td class=\"number\">0.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">1601</td>\n","        <td class=\"number\">7</td>\n","        <td class=\"number\">0.8%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">CA 2144</td>\n","        <td class=\"number\">6</td>\n","        <td class=\"number\">0.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">3101295</td>\n","        <td class=\"number\">6</td>\n","        <td class=\"number\">0.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">347088</td>\n","        <td class=\"number\">6</td>\n","        <td class=\"number\">0.7%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">382652</td>\n","        <td class=\"number\">5</td>\n","        <td class=\"number\">0.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">S.O.C. 14879</td>\n","        <td class=\"number\">5</td>\n","        <td class=\"number\">0.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">349909</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"\">\n","        <td class=\"fillremaining\">113760</td>\n","        <td class=\"number\">4</td>\n","        <td class=\"number\">0.4%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:1%\">&nbsp;</div>\n","        </td>\n","</tr><tr class=\"other\">\n","        <td class=\"fillremaining\">Other values (671)</td>\n","        <td class=\"number\">834</td>\n","        <td class=\"number\">93.6%</td>\n","        <td>\n","            <div class=\"bar\" style=\"width:100%\">&nbsp;</div>\n","        </td>\n","</tr>\n","</table>\n","</div>\n","</div>\n","    <div class=\"row headerrow highlight\">\n","        <h1>Correlations</h1>\n","    </div>\n","    <div class=\"row variablerow\">\n","    <img src=\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAn4AAAIzCAYAAACeFhTSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzs3Xt8jGf%2B//HXZEhCcxIS1FK2RJzFoYrUIVJRrQZddfhVKVqKKKXVqlYp1ra0XYce2K/TbqvRVlHtbitUadltHUqaNnXKViiRNhkEOc/vj8isISoxcd/GvJ%2BPRx4zue7D57qvZDKffO77usdit9vtiIiIiMhNz8vsDoiIiIiIMZT4iYiIiHgIJX4iIiIiHkKJn4iIiIiHUOInIiIi4iGU%2BImIiIh4CCV%2BIiIiIh5CiZ%2BIiIiIh1DiJyIiIuIhlPiJiIiIeIgKZndARNxPw4YNr7isYsWKBAUF0bRpU3r37k1MTAwWi8XA3omIyJVY9Fm9IlJWxYlf8%2BbNCQkJcVqWk5PD4cOH%2BeWXXwDo2rUr8%2BfPx9vb2/B%2BioiIMyV%2BIlJmxYnfokWLiI6OLnGdhIQEnnrqKc6dO8ewYcOYPHmykV0UEZES6Bo/EbkuoqOjmThxIgCrVq0iJyfH5B6JiIiu8ROR66Z79%2B689NJLnD9/nh9%2B%2BIGIiAin5Tt27OCdd97hu%2B%2B%2Bw2az4efnR3h4OA888AC9evUqcZ82m41ly5bx5Zdf8vPPP5Obm0tgYCDNmzfnkUceoV27dpdtExUVxbFjx1iyZAk5OTm89tprpKamsnz5clq3bg3A/v37Wbp0KTt37iQtLY0KFSoQGhrKHXfcwUMPPVTidY1nzpxhxYoVbNq0iZ9//pm8vDyqVatGq1atGDp0KM2aNXNa/%2BjRo3Tr1g2Affv2cejQId5880327NmDzWYjNDSUbt26MWHCBCpXrnxNYy4i8ntU8ROR6yYoKMjx/PTp007LXnvtNYYOHcrGjRvx8/OjXbt2BAcHs2PHDiZNmsT48eMpKChw2iY9PZ2%2Bffvy1ltvcfjwYRo3bsydd96Jt7c3X3zxBUOGDOHDDz%2B8Yn8OHz7MhAkTqFixInfeeSe%2Bvr4AfPPNNzzwwAN89NFH5OTk0Lp1ayIiIsjKymL16tU8%2BOCD7Nixw2lfx44do0%2BfPixYsICDBw8SHh7OnXfeid1uZ8OGDTz44IN88MEHV%2BzL7t27GTRoEElJSYSHh1OvXj2OHTvGypUriYuLK/UYi4iUiV1EpIzCwsLsYWFh9o0bN/7ueocOHXKsu2/fPkf7559/bg8LC7O3bdvW/p///Mdpm2%2B%2B%2BcbeoUMHe1hYmH3ZsmVOy2bOnGkPCwuzx8TE2H/99VdHe35%2Bvn3WrFn2sLAwe%2BvWre1ZWVlO23Xt2tUeFhZmj4qKsr/55puX9bNfv372sLAw%2B5w5c%2BwFBQVO%2B33ttdfsYWFh9vvuu89pm0GDBtnDwsLsffv2taelpTnaCwoK7AsWLLCHhYXZmzZtaj98%2BLBjWWpqqmM8unTpYl%2B8eLG9sLDQsfyjjz5yLP/xxx9/b2hFRK6JKn4ict18/vnnAAQGBtKoUSNH%2B5tvvgnA5MmTueOOO5y2adu2LU8//TQAK1ascFoWGhrKvffey9ixY6lataqj3Wq1MmHCBLy8vDhz5gzfffddif0pLCzkscceu6z9xx9/BKBv3754ef3vz6LVamXcuHGMGzeOwYMHk5ubC8DevXvZuXMnAC%2B//DKhoaGObby8vBg7dixNmjQhNzeX9957r8S%2BNGjQgEcffdTpVjexsbEEBwc7YoiIlDdd4yci18WXX37J22%2B/DcCIESOoUKHoz01aWhpJSUkA3H333SVuGx0djcVi4ZdffiElJYV69eoB8Oijj14xXqVKlahatSrp6emkp6eXuM6dd97plNgVCwgI4Ndff%2BXTTz/liSeecFrm5eXFmDFjnNq2bdsGFM1uvv322694DElJSZedIi5W0jWMFouF2rVrk5GRQWZmZonbiYi4QomfiFyzt99%2BmzVr1ji15ebm8t///pfU1FSgqIo2YsQIx/L9%2B/c7nj/zzDNX3HeFChXIy8vjv//9ryPxK97/l19%2Byffff8/Jkyc5ffo09gt3pTpz5gxQVNkrSfXq1UtsHzJkCPPmzeONN95g27Zt3HfffbRv3/6KN6o%2BePAgUFS1u5I//vGPQNF1hSWpU6dOie0%2BPj4A5OXlXXHfIiLXSomfiFyzffv2XdZmtVqpUqUK3bp1o3///nTu3Nlp%2BalTpxzPN23adNUYxckcQHJyMmPGjOHo0aPX1N/AwMAS24tP/7799tskJiaSmJgIQEhICD169GDIkCHUrl37sj4FBARcMZa/vz9QlMBlZ2c7JpIU0w2tRcQMSvxE5Jr93g2cr6T4mraKFSuSmJhY6o9zy87O5vHHH%2BeXX36hbt26jB49mvbt21OlShUqVqwI/O%2B2LVeLXZLHHnuMAQMGkJCQwJdffsn27dtJT0/n73//O/Hx8bz88svcc889pT5O%2B0X3xi/p9LKIiBmU%2BImIoYpv8ZKXl0dmZqZjMsPVbN26lV9%2B%2BQWLxcLixYu57bbbLlsnOzvbpb4FBATQt29f%2BvbtS0FBAdu3b2fRokXs2bOH5557jjvvvJMqVao4KoeX3qLmYsXLfH19Vd0TkRuG/g0VEUOFhYU5nh84cKDU2/33v/8Fiq6NKynpO3LkCL/99pvL/StmtVq56667WLlyJdWrV%2Bfs2bOOU9vF1/ZdfL3ipYqX/d51gCIiRlPiJyKGCgkJoUmTJgCsXr26xHVSUlKIjY113PYF/nfN3JU%2B%2Bm3RokWO55fe%2BPn37N27lylTprB06dISl3t7e1OtWjXgfxXF4usW9%2B/fX2LyV1hY6LiVzV133VXqvoiIXG9K/ETEcKNGjQJgw4YNLF%2B%2B3Ol6uJ9//plx48aRnJzM8ePHHe3h4eEAnDhxgoSEBEf7%2BfPnmTlzJomJiY6PhLvSTNqSWK1WPvzwQ%2BbPn8%2BWLVsuW75x40Z%2B/PFHKlasSKtWrQBo3LgxkZGRAEyZMoWMjAzH%2Bvn5%2BbzyyiscOnQIf39/BgwYUOq%2BiIhcb7rGT0QM1717dx577DEWL17Mn//8Z1auXMkf//hHMjMz%2BfHHHykoKKBx48ZMmjTJsU1ERASRkZF89dVXxMXF0aJFC3x8fPj%2B%2B%2B%2BpUKECy5Yt45NPPmHPnj2sXLmSn376iccff5y2bdv%2Bbl%2BaNm3KsGHDWLp0KSNHjqRWrVrcdttteHl5cfToUccp5ueee46QkBDHdrNnz2bIkCEkJiYSFRVFWFgYPj4%2BHDhwgMzMTHx9fZk3b94VbyEjImIGJX4iYoqJEyfSoUMH/vGPf/Ddd9%2BxY8cOfHx8aNq0KT179mTQoEGXTYp4/fXXmTt3Lps2beL7778nNDSUmJgYRo0aRZ06dahRowY//PADu3fv5sCBA6WeMTx58mTatm3L2rVr%2Bf7779mzZw/5%2BfmEhIRw33338dBDDzmqicWqV6/OBx98wPLly9m4cSMHDhwgPz%2Bf6tWr0717d4YPH17itYgiImay2C8%2BxyIiIiIiNy1d4yciIiLiIZT4iYiIiHgIJX4iIiIiHkKJn4iIiIgLtm3bRocOHZgwYcLvrldYWMhrr71Gt27daNu2LcOHDyc1NdWx3GazMX78eDp06EBkZCTPPfecy59IdCklfiIiIiLXaMmSJcycObNUs/jfeecdPv74YxYvXswXX3xB3bp1GTNmjONeps8//zznz59nw4YNfPjhhxw6dIi5c%2BeWa3%2BV%2BImIiIhcIx8fHz744INSJX7x8fEMHTqU22%2B/HT8/PyZMmMChQ4fYu3cvv/76KwkJCUyYMIHg4GCqV6/O6NGj%2BfDDD8nLyyu3/uo%2BfiIiIuKxTp48SXp6ulNbSEgIoaGhpdr%2B4YcfLtV62dnZHDx4kMaNGzva/Pz8uO2220hMTOTMmTNYrVYaNmzoWN6kSRPOnTvH4cOHndpdocTvRlbKm8%2BWq3r14MABaNAAUlIMD28v9KzbSpbzpRulYrGAjw/k5IAZd/GsxHljA5p8wKdyKxke02IBf384c8acn3FAgPExzWQpLP1nQ5crLy8oLDQnttVqTtzr8L4YP38%2BCxcudGobO3YscXFx5Rrn1KlT2O12AgMDndoDAwPJzMwkKCgIPz8/pxvPF6%2BbmZlZbv1Q4ifOgoKKXtBBQWb3xDAWizlvjmYy438KU3nYAVss//vylN9tTzpWBw/7vb5e%2BvfvT1RUlFPbxR/PWN5%2B73MzjPhMDSV%2BIiIi4h68yn9qQmhoaKlP67oiKCgILy8vbDabU7vNZqNq1aoEBweTlZVFQUEB1gsV1eJ1q1atWm790OQOERERkevMx8eHBg0akJSU5Gg7ffo0R44coXnz5jRq1Ai73U5ycrJjeWJiIgEBAdSrV6/c%2BqHET0RERNyDl1f5f11HaWlp9OjRw3GvvoEDB7Jy5UoOHTpEVlYWc%2BfOpVGjRjRr1ozg4GBiYmJ4/fXXycjI4MSJEyxatIg//elPVKhQfidodapXRERE3MN1TtSuRbNmzQDIz88HICEhASiq1uXl5ZGSkkJubi4AAwYMID09ncGDB3P27FnatWvnNLFkxowZTJs2jW7dulGxYkXuu%2B%2B%2Bq94UuqwsdiOuJJRrY8aFuxERsHs3tGoFe/YYHt6MWb1mXhRu1qxeX9%2Bi2B4zq9fEAzZjVq%2BX1/9m9Zox6dOMWb1mvo5Nm9VrtUKBibHN4ONT/vvMySn/fd7AVPETERER93ADVvzcjUZQRERExEOo4iciIiLuQRU/lynxExEREfegxM9lGkERERERD6GKn4iIiLgHVfxcphEUERER8RCq%2BImIiIh7UMXPZUr8RERExD0o8XOZRlBERETEQ6jiJyIiIu5BFT%2BXKfETERER96DEz2UaQREREREPoYqfiIiIuAdV/FymERQRERHxEKr4iYiIiHtQxc9lSvxERETEPSjxc5lGUERERMRDKPErZzk5OTRs2JD//Oc/ZndFRETk5uLlVf5fHqZMRxwVFUWTJk1o1qwZzZo1o3Xr1gwaNIhvvvnmevXvhvOf//yHhg0bkpOTY3ZXRERERMqkzKnu1KlTSUxMJDExka%2B%2B%2Boro6Ggee%2BwxUlNTr0f/RERERIqo4ucyl464UqVKDBs2jNDQULZu3UpGRgbjxo2jffv2tGnThkcffZTjx4871l%2B8eDFdu3alRYsWxMTEsG7dOgAKCwuZM2cOkZGRtGzZkvvvv59t27Y5ttuxYwf9%2B/cnIiKCu%2B66i0WLFjmWLViwgMcff5wlS5bQsWNH2rZty8yZMx3LMzIyGDJkCM2bNyc2NpYvv/yShg0bcvToUQCOHTvGqFGjaNeuHW3btuXpp58mKysLKKruRUREsHz5clq1asWePXsuG4Nz587x5JNP0qZNG6Kjo9m8ebMrQyoiIiJXosTPZeUyq7egoACr1corr7zC2bNn2bRpE3a7nfHjxzN79mwWLFjA7t27WblyJatXr6ZmzZp8/fXXxMXFERkZyfbt29m%2BfTvr168nMDCQtWvXMnnyZL788kt%2B%2B%2B03Ro8ezbRp0%2BjVqxcHDx5kxIgR1KlTh169egGwe/dumjdvzhdffMGuXbsYOnQo999/P82bN%2Be5554jLy%2BPrVu3kpmZycSJEx39ttvtjB49mlatWvHaa685kri//OUvvPTSSwDk5eXx888/s337dnx8fC47rf3WW2%2BRnJzMJ598go%2BPD9OmTbumMTx58iTp6elObSH16hEaFHRN%2B7tm4eHOj3JdWSzmxTQj9oXIBocz94DNeF8pjumB72kichUuJX5nz57lvffeIyMjg86dO9O3b1/y8/OpXLkyANHR0bz11lsAnDlzBi8vL3x9fbFYLERGRrJr1y68vLw4ffo0FSpUoFKlSlitVh544AH69OmDl5cXGzZsoEGDBvTu3RuAhg0bMmDAANatW%2BdI/KxWKyNHjsTLy4v27dsTHBzMoUOHaNq0Kdu2beP1118nKCiIoKAg%2BvfvzwsvvABAYmIiBw4cYNWqVVSqVIlKlSoRFxfH8OHDmTFjBlCU%2BA0aNAhfX98Sx2Djxo0MGjSI6tWrA/Doo4/yr3/9q8xjGR8fz8KFC53axj7xBHFPPFHmfZWLd981JaxZuYhZSdAVfq0M4eNjVmSTDtqkA/Y38Wd8yy3mxTaDaf/MWK0mBTYpdkGB8TGL6b8Zl5U58Zs5cyazZ88GwNfXl0aNGrF8%2BXJq1qzJgQMHmDNnDvv27SM7O5vCwkKCLlSs2rdvT%2BPGjYmKiqJ9%2B/Z06tSJ2NhYKleuzL333su6devo1KkTHTt2pEuXLtx77714eXlx5MgREhMTadasmaMPdrudevXqOb6/9dZb8brol6FSpUpkZ2djs9nIy8ujVq1ajmUX7yc1NZWCggLatWvndIwFBQVkZmY67f9KTpw4wR/%2B8AfH93Xr1i3tUDrp378/UVFRTm0hvXrBihXXtL9rFh5elPQNGgTJycbGBuy7dhse02IBu93wsACYMUfIYinKgXJyzDluX7KNDWjyAZ/JMz7z8/IqSvrOnoXCQsPD4%2BdnfEwzX8eWQpMSIavV3CRM3FKZE7%2BpU6cycODAy9oLCwsZOXIkrVu35rPPPiM4OJj333%2Bf119/HQBvb2/HadFNmzbxzjvvsHTpUtasWUNQUBCrV69m9%2B7dfPHFF8yfP59Vq1bxzjvv4OvrS%2BfOnR2Vw5J4XeE/APuFvwIVKlQocV0fHx8qV65c4rV7F7t4%2B0vl5eVRcNELz36Nf3lCQ0MJDQ11bkxJuaZ9lYvkZLjKuIjrzHqjKo5tTnyTDtqkAzYj8bo4tpnxRcqdKn4uK7cR/PXXXzl27BiDBw8mODgYgB9%2B%2BMGxPC8vj6ysLMLDwxkzZgxr167FYrGwfft2cnJyOH/%2BPK1atWLixIls2LCB/fv3k5ycTJ06ddi/f79TQpWenk5ubu5V%2BxQUFITVauWXX35xtCUmJjqe16lTh3PnzjnNSM7KynKq9l1NaGio0wSWgwcPlnpbERERKQNN7nBZuR1xcHAwlStX5rvvviMnJ4ePP/6YH3/8kaysLM6ePcvSpUt59NFHOXHiBACHDh3i1KlT1KlTh1mzZjF58mQyMjKw2%2B0kJSVRWFjIrbfeyr333ovNZuONN94gOzub1NRUhg0bxopSnAK1Wq20adOGZcuWcebMGVJSUnj//fcdy8PCwoiIiGDWrFlkZGRw%2BvRppk2bxtNPP13q477rrrtYvXo16enpZGRk8Le//a3sgyciIiJigHJL/CpUqMCLL77I4sWL6dChA99%2B%2By0LFiygRo0adO/enUceeYSwsDB69%2B5Ny5YtGT9%2BPJMmTaJRo0ZMnDgRLy8vYmJiaNWqFbNmzWLevHkEBwdTpUoV3njjDTZt2kTbtm156KGH6Nq1K8OGDStVv2bNmsXp06fp2LEjzz77LCNHjiw68AtZ/rx587Db7XTr1o27776bgoIC5syZU%2Brjfuqpp6hXrx49evTgT3/6E3369PndU8MiIiJyjVTxc5nFfq0XpbmR3NxcvL29Afj3v//NI488wt69ex1tNywzpqhFRMDu3dCqlSnX%2BNkLjf91NPOi8GyD5zlA0fH6%2BhbFNuO4K3He2IAmH/Cp3EqGx/TyAn9/OHPGnGv8AgKMj6nJHSbENkOTJuW/z6Sk8t/nDeymL01NmTKFY8eOsWDBAiwWC8uWLaNDhw43ftInIiIizjywQlfebvoRfOqppwgMDCQ6Opro6GisViuzZs0yu1siIiJSVjrV67KbvuJXpUoV5s%2Bfb3Y3REREREx30yd%2BIiIicpPwwApdedMIioiIiHgIVfxERETEPaji5zIlfiIiIuIelPi5TCMoIiIi4iFU8RMRERH3oIqfyzSCIiIiIh5CFT8RERFxD6r4uUyJn4iIiLgHJX4uU%2BInIiIico2OHTvG9OnT2bt3L5UrV6Znz55MnDgRr0uS1GHDhvHtt986teXn5zNmzBjGjh3L4MGD2b17t9N29erVY/369eXaXyV%2BIiIi4h5uwIpfXFwcTZo0ISEhgd9%2B%2B42RI0dSrVo1HnnkEaf1li5d6vT96dOn6dmzJ3fffbej7aWXXqJv377Xtb833giKiIiIuIHExESSk5OZNGkS/v7%2B1K1bl6FDhxIfH3/VbV9//XXuvvtuGjZsaEBP/0cVPxEREXEP16Hid/LkSdLT053aQkJCCA0Nveq2SUlJ1KpVi8DAQEdbkyZNSElJISsrCz8/vxK3%2B/nnn1m7di0JCQlO7Z9%2B%2Bil/%2B9vfOH78OC1atGDGjBnUqVPnGo7qylTxExEREffg5VXuX/Hx8fTt29fpqzQVOwCbzUZAQIBTW3ESmJmZecXtFi9ezAMPPEBwcLCj7fbbb6dBgwa8%2B%2B67bNq0ieDgYEaMGEFubu41DNSVqeInIiIiHqt///5ERUU5tYWEhJR6e7vdXqZ4NpuNdevW8c9//tOp/cUXX3T6fsaMGbRr145du3bRvn37MsX4PUr8RERExD1ch1O9oaGhpTqtW5Lg4GBsNptTm81mw2KxOFXzLrZp0ybq1atH7dq1f3fffn5%2BBAYGkpaWdk19uxKd6hURERG5Bk2bNuX48eNkZGQ42hITE6lfvz633HJLidts2rSJjh07OrVlZWXx4osvOiV5GRkZZGRkXDVBLCslfiIiIuIersM1fq5o3LgxzZo1Y968eWRlZXHo0CGWLVvGwIEDAejRowc7d%2B502ubHH3/kD3/4g1Obn58fe/fuZebMmdhsNk6dOsX06dNp2LAhERERLvXxUkr8RERExD3cYIkfwPz58zl58iQdO3bk4Ycfpnfv3gwaNAiAlJQUzp0757R%2Beno61apVu2w/ixYtwm63ExMTQ5cuXcjLy2Px4sWX3QjaVRZ7Wa9KFMOY9ZOxWEyM7WUxNmBEBOzeDa1awZ49xsYG4t8zfqCrVIHu3eHzz%2BF3Jp1dN9HRxsazWiEoCGw2KCgwNjZA5crGx7RYwNcXsrPNeS1Xykq/%2BkrlqUKFol/szEzIzzc2NsD33xsf088P2raFb7%2BFrCzj43ftanxMgJiY8t/nZ5%2BV/z5vYJrcISIiIu7hBvzkDnejxE9ERETcgxI/l2kERURERDyEKn4iIiLiHlTxc5lGUERERMRDqOInIiIi7kEVP5cp8RMRERH3oMTPZRpBEREREQ%2Bhip%2BIiIi4B1X8XKYRFBEREfEQqviJiIiIe1DFz2VK/ERERMQ9KPFzmUZQRERExEOo4iciIiLuQRU/l2kERURERDyEKn4iIiLiHlTxc5kSPxEREXEPSvxcphEUERER8RCq%2BImIiIh7UMXPZRpBEREREQ%2Bhip%2BIiIi4B1X8XKbET0RERNyDEj%2BXaQRFREREPIQqfiIiIuIeVPFzmUZQRERExEOo4iciIiLuQRU/l3nsCK5du5aoqKjrsu8HH3yQBQsWXJd9i4iIeCwvr/L/8jA31BHn5eUxf/58YmJiaNmyJREREQwePJidO3eWe6zevXuzefPmct%2BviIiIyI3qhkr85syZw%2BbNm5k/fz67du1i27ZtdOjQgWHDhpGammp290RERMRMqvi57IY64q%2B//pp7772Xhg0bYrVa8fPz4/HHH2fmzJl4e3sTFRXFqlWrHOtv3bqVhg0bOr5v2LAhy5cvJzIykoULF9K0aVO%2B%2BeYbpxj3338/ixcvZs2aNXTs2JHCwkIiIyP56KOPnNZ7/PHHeeGFFwBITk5myJAhtGnThjvvvJOZM2eSl5fnWHfRokVERkbSrl07Fi1adD2GRkRERMRlN9Tkjnr16vHRRx8RGRlJo0aNHO33339/qfeRkJDA2rVrqVq1KomJiSQkJHDHHXcAkJqayk8//cSiRYv49ttvAfDy8qJ79%2B4kJCTQp08fAM6dO8fXX3/NkiVLOH/%2BPCNGjGDw4MEsWbKEtLQ0Ro8ezf/93/8xatQovvrqKxYvXszSpUtp2rQpS5YsYf/%2B/dx1111lOvaTJ0%2BSnp7u1FatWgihoaFl2o/bi4gwNl54uPOjwapUMT6mv7/zo9GsVnPiGR23mMViXkwzYgNQweC3FrN/yH5%2BxsesXNn50UhZWcbHLOaBFbrydkMlfs8//zxPPvkkvXv3platWrRu3ZrOnTvTvXt3vL29S7WPe%2B65h2rVqjmeL1iwgClTpgCwceNGmjdvTu3atR2JX/F6jz76KNnZ2fj6%2BrJt2zYCAgJo27Ytn332GXa7nZEjRwJQu3Zthg8fzttvv82oUaPYuHEjnTp1onXr1gCMHDmSlStXlvnY4%2BPjWbhwoVPbmDFjGTcursz7Kg%2BmvWHs3m1O3HffNSVsd1OiFmnf3sTgJjAr0TWTj49JgX1N%2BI8GICDAnLht25oTF6BJE%2BNjfvGF8TGLKfFz2Q2V%2BN1666289957HDx4kO3bt/Ptt98ydepU/vrXv/KPf/yj1Pso1q1bN6ZOnUpycjLh4eFs3LiRe%2B%2B997JtWrdujZ%2BfH1999RXR0dFs3LiRHj164OXlRWpqKr/99hvNmjVzrG%2B32x2JaFpaGvXq1XMsq1ixIn/4wx/KfOz9%2B/e/bJZxtWoh2O1l3pXLLBZMiQtgad3K2IDh4UVJ36BBkJxsbGzg8znGJ7r%2B/kVJ344dcOaM4eG5UIA3jNVadMxnzkBBgbGxAXx9jY9psRQlfTk55ryWfc9nGhvQai1K%2Bk6fNueHfPCg8TErVy5K%2BpKS4Nw54%2BOL27qhEr9i9evXp379%2Bjz88MOkp6fTr18/VqxYcdl6hYWFl7VZLyr1%2B/v7ExkZSUJCAlWrVmXfvn28/vrrl23j5eVFTEwMmzZtonPnzmzZsoXFixcD4OPjQ4MGDfj4449L7Gtubi75%2BflX7dfVhIaGXnZa16zky1R79pgTNznZlNiZBr8/XuzMGXPim/G%2BXBzXjNhmvo7tdpPiX/I30TAFBebENvPU57lz5sY3mip%2BLrthRvDEiRO8%2BOKLZF3yCxwSEkJ4eDjnz5/H29ub7Oxsx7IjR45cdb89evTgiy%2B%2BICEhgZYtW1K9evUrrrdlyxa2b9%2BOv78/EReuNatTpw6pqamcPXvWsW5mZqajn6GhoZw4ccKxLDc3VzPnS%2BSmAAAgAElEQVSQRURE5IZ0wyR%2BwcHBbN%2B%2BnaeeeorDhw9TWFjI%2BfPn2bBhAzt27CAqKoq6deuyZcsWsrOz%2Bfnnn69YhbtYt27dOHjwIOvXr6dnz55XXK9169ZYrVYWL15Mjx49sFy4yC0yMpLg4GD%2B8pe/kJWVRXp6Ok888QRz584FoFOnTnz11Vfs27eP7OxsFi5ceE0VPxEREbkK3c7FZTfMEXt7e/P3v/%2BdqlWrMnz4cCIiIujQoQPvvvsu8%2BbN46677mL8%2BPFkZGTQrl07Jk%2BezPDhw6%2B6X39/f9q3b8/evXvp0aPHFdcrPt27c%2BdOp%2BsAK1asyBtvvMHhw4fp2LEjvXv3pm7dukyePBkomhjy8MMPM2rUKDp37oy3tzctW7Z0fUBERETEmRI/l1nsdo%2B8kswtmDbBwszJHV4GTyeOiCiaSdyqlSnX%2BMW/Z/xAV6kC3bvD55%2Bbc41fdLSx8axWCAoCm82ca/zMuNuGxVI0qSQ725zXcqWs9KuvVJ4qVCj6xc7MNOcav%2B%2B/Nz6mn1/RbOJvvzXnGr%2BuXY2PCfDUU%2BW/z1deKf993sBuyMkdIiIiIpfxwApdedMIioiIiHgIVfxERETEPaji5zIlfiIiIuIelPi5TCMoIiIico2OHTvGY489Rrt27ejatSuvvPJKibd1W7BgAY0aNaJZs2ZOX7/%2B%2BisAOTk5vPDCC3Tq1Il27doxbtw4Mq/DDDwlfiIiIuIebsDbucTFxVG9enUSEhJYtmwZCQkJJX7aGEBsbCyJiYlOX9WqVQPgtddeIykpifj4eD777DPsdjvPPvusy/27lBI/ERERkWuQmJhIcnIykyZNwt/fn7p16zJ06FDi4%2BPLtJ/8/Hw%2B%2BOADRo8eTc2aNQkKCmL8%2BPFs2bKFtLS0cu2zrvETERER93AdrvE7efIk6enO954MCQkhNDT0qtsmJSVRq1YtAgMDHW1NmjQhJSWFrKws/Pz8nNb/6aefGDBgAPv376dmzZo8%2B%2ByzREZGcuTIEc6cOUOTJk0c695%2B%2B%2B34%2BvqSlJR0xY%2BbvRZK/ERERMQ9XIfELz4%2BnoULFzq1jR07lri4uKtua7PZCAgIcGorTgIzMzOdEr8aNWpQu3ZtJk6cSGhoKPHx8YwaNYr169djs9kALttXQEBAuV/np8RPREREPFb//v2JiopyagsJCSn19qX9ALR%2B/frRr18/x/dDhw7lk08%2BYf369XTq1KlM%2B3KFEj8RERFxD9eh4hcaGlqq07olCQ4OdlTritlsNiwWC8HBwVfdvlatWpw8edKxrs1m45ZbbnEsP3XqFFWrVr2mvl2JJneIiIiIe7jBZvU2bdqU48ePk5GR4WhLTEykfv36TgkcwBtvvMGOHTuc2g4dOkTt2rWpXbs2gYGBJCUlOZbt37%2Bf3NxcmjZt6lIfL6XET0REROQaNG7cmGbNmjFv3jyysrI4dOgQy5YtY%2BDAgQD06NGDnTt3AkXVvOnTp3P48GFycnJYunQpR44coU%2BfPlitVh588EHeeustjh8/TmZmJq%2B%2B%2Bip3332343Yv5UWnekVERMQ93ICf3DF//nyef/55OnbsiJ%2BfHwMGDGDQoEEApKSkcO7cOQAmTpwIFF3bZ7PZqF%2B/PsuXL6dGjRoAjBs3jrNnzxIbG0t%2Bfj5du3blxRdfLPf%2BKvETERERuUY1atRgyZIlJS776aefHM99fHyYMmUKU6ZMKXFdb29vpk2bxrRp065LP4sp8RMRERH3cANW/NyNEj8RERFxD0r8XKYRFBEREfEQqviJiIiIe1DFz2UaQREREREPoYqfiIiIuAdV/FymxE9ERETcgxI/lynxu4FlZxsf02IBX1/IyQEDPiv6MuvfMzZolSrQHfh8zm4yMw0NDUD/ARbjg0ZEQPfddH%2BmFezZY3j4FcuN/RkHB0OvXrBtG1z0qUqGGdIz3figFSqAbxV8z2dCfr7x8YOCjI8J4OdnStgnP%2B5qeMxatWBiW5i3tS3HjhkenleNP2QpJ0r8RERExD2o4ucyjaCIiIiIh1DFT0RERNyDKn4uU%2BInIiIi7kGJn8s0giIiIiIeQhU/ERERcQ%2Bq%2BLlMIygiIiLiIVTxExEREfegip/LlPiJiIiIe1Di5zKNoIiIiIiHUMVPRERE3IMqfi7TCIqIiIh4CFX8RERExD2o4ucyJX4iIiLiHpT4uUwjKCIiIuIhVPETERER96CKn8s0giIiIiIeQhU/ERERcQ%2Bq%2BLlMiZ%2BIiIi4ByV%2BLtMIioiIiHgIVfxERETEPaji5zKNoIiIiIiHUMVPRERE3IMqfi5T4iciIiLuQYmfyzSCIiIiIh7CoxO/qKgoVq1aZXY3REREpDS8vMr/y8O4/aneqKgo0tLS8Lrww/P29qZhw4aMHz%2BeO%2B64w%2BTeiYiIiNw4bopUd%2BrUqSQmJpKYmMhXX31FdHQ0jz32GKmpqWZ3TURERMqLKn4uu%2BmOuFKlSgwbNozQ0FC2bt3K%2BfPnef7552nXrh133nknzz//PLm5uZdtl5OTw9SpU4mMjKRVq1YMGjSI/fv3O5avWbOGmJgYWrZsSdeuXVm6dKlj2eLFi%2BnatSstWrQgJiaGdevWGXKsIiIiHkWJn8vc/lTvlRQUFGC1Wnn11Vc5ePAg//znPwEYMWIEixYtYsKECU7rL1myhL1797JhwwYqV67MjBkzeOaZZ1izZg0nTpxgxowZxMfH07BhQ77//nuGDx/OnXfeSXZ2NitXrmT16tXUrFmTr7/%2Bmri4OCIjI6latWqp%2B3vy5EnS09Od2gICQggJCXV9MMrAYnF%2BNFqVKsbG8/d3fjRcRITxMcPDnR8NFhxsbLzAQOdHw1Uw4c%2Bs1er8KNdVrVrGxwwNdX400rFjxseU8nPTJX5nz57lvffeIyMjg86dOzNv3jxmz55N8IV3m9mzZ3P69OnLths5ciRDhw7Fz88PgB49erBmzRry8/PJysqisLCQypUrA9C0aVN27NiBl5cXX375JV5eXvj6%2BmKxWIiMjGTXrl2Oaw5LKz4%2BnoULFzq1jRkzlnHj4q5lGFzm42NKWLp3Nydu%2B/bmxKX7bpMCA%2B%2B%2Ba0rYXqZEhU6dTAqMwf/NXCwgwLzYZqhY0ZSwEyeaEhaAwYONj/nkk8bHdPDACl15uykSv5kzZzJ79mwAfH19adSoEcuXL8fHx4fTp0/zhz/8wbFu%2BBWqHBkZGcycOZNvvvmGs2fPAkVVw4KCAm6//XZiY2O55557uOOOO4iMjKRPnz5UqVKF9u3b07hxY6Kiomjfvj2dOnUiNjbWkSSWVv/%2B/YmKinJqCwgIITu7TLtxmcVSlPTl5IDdbmxsgK1bjY3n71%2BU9O3YAWfOGBsboPszrYwPGh5elPQNGgTJyYaH/3i6scluYGBR0rd1K5w6ZWhoAHpFZhof1GotSvpOn4aCAuPjX/gH2lAVK0JenvFxgXnzjU84Q0OLkr6//x1OnjQ8vHmU%2BLnspkj8pk6dysCBAy9rt9lsABQWFl51HxMmTMDHx4d169ZRo0YNduzYwdChQwGwWCy89NJLjBgxgoSEBP71r3%2BxZMkSVq9eTe3atXnrrbdITk5m06ZNvPPOOyxdupQ1a9bgX4bzh6GhoYReUrM/f96c5AuK4poRO9OE90goSvpMib1njwlBL0hONiV%2BRobhIYGipM%2BU2Pn5JgS9oKDA3PgewsxTnydP6tSrlM1NnToHBQUREBBASkqKoy0pKanEyRf79u3jwQcfpEaNGo71ihUWFnL69Gluu%2B02hg8fzurVq6lfvz4bN24kLy%2BPrKwswsPDGTNmDGvXrsVisbB9%2B/brf4AiIiKeRJM7XHbTH3Hfvn3529/%2BRlpaGpmZmbz00kscOHDgsvVq1arFvn37yMvLY%2BvWrXz99dcApKWl8emnn9KvXz8OHz4MwLFjx0hLS6NOnTosXbqURx99lBMnTgBw6NAhTp06RZ06dYw7SBERETHFsWPHeOyxx2jXrh1du3bllVdeueKZxlWrVhETE0NERASxsbEkJCQ4lj3zzDM0btyYZs2aOb7atGlT7v29KU71/p6JEycyc%2BZMevbsibe3N9HR0YwdO/ay9V544QVeeOEF3nvvPe666y5effVVRo4cSd%2B%2BffnXv/7FgQMHGDJkCKdPn6ZatWr069eP6OhoOnXqxC%2B//ELv3r3Jzs6mZs2aTJo0iUaNGplwtCIiIjexG7BCFxcXR5MmTUhISOC3335j5MiRVKtWjUceecRpvc8%2B%2B4x58%2Bbx9ttv07x5c9auXcv48eP55z//Se3atQF4/PHHiYu7vpM63T7x27x58%2B8u9/b2ZsaMGcyYMeN3t%2B3YsSObNm1yWr569WrH8wkTJlx2C5ji/U%2BfPp3p06eXtesiIiJSFjdY4peYmEhycjLLli3D398ff39/hg4dyooVKy5L/LKzs3nyySdp3bo1AP369WPu3Ll89913jsTPCG6f%2BImIiIhcq5LuoxsSEnLZhMuSJCUlUatWLQIvulFokyZNSElJISsry3GLOIDY2FinbU%2BfPs3Zs2epXr26o%2B3f//43mzZt4ueff%2Bb222/nxRdfpGnTptd6aCVS4iciIiLu4TpU/Eq6j%2B7YsWNLdcrVZrMRcMn9MouTwMzMTKfE72J2u52pU6fSokUL7rjjDgBq166Nl5cXTzzxBLfccgsLFy5k2LBhfPbZZ1Qpx083UOInIiIiHquk%2B%2BiGhISUent7Ge99lpeXxzPPPMPBgwdZuXKlo33MmDFO6z311FNs2LCBhIQE%2BvXrV6YYv0eJn4iIiLiH61DxK%2Bk%2BuqUVHBzsuGdwMZvNhsVicXxi2MWys7MZPXo058%2Bf55133vndSp7VaqVmzZqcLOc7dN9YV0mKiIiIXMkNdh%2B/pk2bcvz4cTIuujt8YmIi9evX55ZbbnFa1263M2HCBCpUqMDy5cudkj673c6f//xnki/6NKXc3FyOHDlS7hM/lPiJiIiIXIPi%2B%2B7NmzePrKwsDh06xLJlyxyfJtajRw927twJwMcff8zBgwf561//io%2BPj9N%2BLBYLR48eZfr06aSlpXH27Fnmzp1LxYoViY6OLtc%2B61SviIiIuIcb7HYuAPPnz%2Bf555%2BnY8eO%2BPn5MWDAAAYNGgRASkoK586dA%2BDDDz/k2LFjjskcxWJjY5k5cyazZs3iL3/5C3379iUrK4vmzZuzYsUKKleuXK79VeInIiIico1q1KjBkiVLSlz2008/OZ6vWLHid/cTFBTEn//853LtW0mU%2BImIiIh7uAErfu5GiZ%2BIiIi4ByV%2BLtMIioiIiHgIVfxERETEPaji5zKNoIiIiIiHUMVPRERE3IMqfi5T4iciIiLuQYmfyzSCIiIiIh5CFT8RERFxD6r4uUwjKCIiIuIhVPETERER96CKn8uU%2BImIiIh7UOLnMo2giIiIiIdQxU9ERETcgyp%2BLtMIioiIiHgIi91ut5vdCbmC8%2BeNj2mxgK8vZGeDCb8av52rZGg8qxWCgsBmg4ICQ0MDsGGD8TGDg6FXL/j4Y8jIMD7%2BkKEWYwNGRMDu3dCqFezZY2xsYN1a419HgYHQpQts2QKnThkenjp1jI1XqRKEh0Nysjl/NiNqHDc%2BaIUKEBIC6emQn298/Jo1jY8JcOBA%2Be%2BzQYPy3%2BcNTKd6RURExD3oVK/LNIIiIiIiHkIVPxEREXEPqvi5TCMoIiIi4iFU8RMRERH3oIqfy5T4iYiIiHtQ4ucyjaCIiIiIh1DFT0RERNyDKn4u0wiKiIiIeAhV/ERERMQ9qOLnMiV%2BIiIi4h6U%2BLlMIygiIiLiIVTxExEREfegip/LlPiJiIiIe1Di5zKNoIiIiIiHUMVPRERE3IMqfi7TCIqIiIh4CFX8RERExD2o4ucyJX4iIiLiHpT4uUwjKCIiIuIhVPETERER96CKn8s0giIiIiIeQhU/ERERcQ%2Bq%2BLlMiZ%2BIiIi4ByV%2BLtMIioiIiHgIVfxERETEPaji5zKN4AVfffUVDRs2ZPr06WZ3RURERNzEsWPHeOyxx2jXrh1du3bllVdeobCwsMR1V65cSUxMDK1atWLgwIF8//33jmU5OTm88MILdOrUiXbt2jFu3DgyMzPLvb9K/C54//33uffee/nkk0/IyckxuzsiIiJyKS%2Bv8v9yUVxcHNWrVychIYFly5aRkJDAihUrLltv8%2BbNLFiwgJdffpnt27fTtWtXRo0axblz5wB47bXXSEpKIj4%2Bns8%2B%2Bwy73c6zzz7rcv8upcQPyMzMZPPmzYwbN44qVaqwceNGx7KMjAyGDBlC8%2BbNiY2N5csvv6Rhw4YcPXoUKMr0R40aRbt27Wjbti1PP/00WVlZZh2KiIjIzesGS/wSExNJTk5m0qRJ%2BPv7U7duXYYOHUp8fPxl68bHx9O3b19atGiBr68vI0aMAOCLL74gPz%2BfDz74gNGjR1OzZk2CgoIYP348W7ZsIS0tzaU%2BXkrX%2BAHr1q2jUaNG1K1bl169evHBBx9w3333AfDcc8%2BRl5fH1q1byczMZOLEiY7t7HY7o0ePplWrVrz22mucO3eOJ598kr/85S%2B89NJLZerDyZMnSU9Pd2oLCQggNCTE9QMsC4vF%2BdFgVqs58YyOWyw42PiYgYHOj4aLiDA2Xni486PBzBhnPz/nR6NVqmRsPB8f50fDVTDhrbQ4phmx8/ONj3kdlfj%2BGxJCaGjoVbdNSkqiVq1aBF70Qm/SpAkpKSlkZWXhd9GLMCkpiZ49ezq%2B9/LyolGjRiQmJtKoUSPOnDlDkyZNHMtvv/12fH19SUpKonr16q4cohMlfsAHH3zAwIEDAYiNjWXRokUcPXqUW2%2B9lW3btvH6668TFBREUFAQ/fv354UXXgCKMv0DBw6watUqKlWqRKVKlYiLi2P48OHMmDEDSxmSp/j4eBYuXOjUNnbMGOLGjSu/Ay0Lk/6CBvmaEhZ/f3Pi9uplTlyATp1MCtxrtzlx333XlLBdTIlapE0bE4OboF49syIb/A/6xapUMT7m8ePGx7zATvkXJUp8/x07lri4uKtua7PZCAgIcGorTgIzMzOdEj%2BbzeaUIBavm5mZic1mA7hsXwEBAeV%2BnZ/HJ37fffcd//3vf7nnnnsAqF27Ni1btmTNmjU89NBD5OXlUatWLcf6zZo1czxPTU2loKCAdu3aOe2zoKCAzMxMgstQzunfvz9RUVFObSEBAZCdfS2Hde0slqKkLycH7HZjYwO2bGMzP6u1KOk7cwYKCgwNDcC2bcbHDAwsSvq2boVTp4yP32taK2MDhocXJX2DBkFysrGxgS2vGp/o%2BvkVJX07d4IZV57UqGFsPB%2BfoqQvJaXoT5fRwqumX32l8lahQlHSl5l501XgjFbi%2B28ZzrbZy/BeebV1y7Kva%2BXxid/7779Pfn4%2B3bp1c7Tl5eWRlpbG//t//w%2BACheV0r0uuh7Ax8eHypUrs2fPHpf7ERoaenlZ%2Bfx5U5IvoCiuCbHNSL6K45oROyPD%2BJjFTp0yKX45vF6uSXKyKbHNSK6LZWWZE9%2Bsywhycor%2BbBrOzMQrP9%2BjEr8rTJZ1SYnvv6UUHBzsqNYVs9lsWCyWy4o/VapUKXHdBg0aONa12WzccsstjuWnTp2iatWq19S3K/HoyR1nz57l008/Zfr06axdu9bx9cEHH3Dy5El%2B%2BOEHrFYrv/zyi2ObxMREx/M6depw7tw5UlNTHW1ZWVnXZfq1iIiIpyssLP8vVzRt2pTjx4%2BTcdF/0YmJidSvX98pgSteNykpyfF9QUEBP/zwAy1atKB27doEBgY6Ld%2B/fz%2B5ubk0bdrUtU5ewqMTv08//RQfHx/69OnDbbfd5vgKDw8nKiqKNWvW0KZNG5YtW8aZM2dISUnh/fffd2wfFhZGREQEs2bNIiMjg9OnTzNt2jSefvppE49KREREjNC4cWOaNWvGvHnzyMrK4tChQyxbtswxb6BHjx7s3LkTgIEDB7J27Vq%2B%2B%2B47zp8/z5tvvom3tzddunTBarXy4IMP8tZbb3H8%2BHEyMzN59dVXufvuu6lWrVq59tmjE78PP/yQXr164e3tfdmyBx54gISEBJ5%2B%2BmlOnz5Nx44defbZZxk5ciTwv1O%2B8%2BbNw263061bN%2B6%2B%2B24KCgqYM2eOocchIiLiCW60ih/A/PnzOXnyJB07duThhx%2Bmd%2B/eDBo0CICUlBTHffo6derEk08%2Byfjx47njjjvYvn07ixcvxte36Nr2cePG0aJFC2JjY%2BnWrRu33HILs2bNcr2Dl7DYjbiS0M3l5uY6ksN///vfPPLII%2Bzdu7fEhLFcmXGxisUCvr5Fk0pM%2BNX47Zyx94GwWiEoCGw2c67x27DB%2BJjBwUWziT/%2B2Jxr/IYMNfhWQRERsHs3tGplyjV%2B69Ya/zoKDIQuXWDLFnOu8atTx9h4lSoVzeFJTjbnz2ZEDRNmuVaoACEhkJ5uzjV%2BNWsaH5PrM3nHtNsAmcTjJ3dczZQpUzh27BgLFizAYrGwbNkyOnTocP2TPhEREXFyPSZ3eBqPPtVbGk899RSBgYFER0cTHR2N1Wq9LqVXERER%2BX034qled6OK31VUqVKF%2BfPnm90NEREREZcp8RMRERG34IkVuvKmU70iIiIiHkIVPxEREXELqvi5TomfiIiIuAUlfq7TqV4RERERD6GKn4iIiLgFVfxcp4qfiIiIiIdQxU9ERETcgip%2BrlPiJyIiIm5BiZ/rdKpXRERExEOo4iciIiJuQRU/16niJyIiIuIhVPETERERt6CKn%2BuU%2BImIiIhbUOLnOp3qFREREfEQqviJiIiIW1DFz3Wq%2BImIiIh4CFX8RERExC2o4uc6JX4iIiLiFpT4uc5it9vtZndCSnbqlPExvbzA3x/OnDHnBebtbWw8iwV8fSE7G8x4JVTKSjc%2BaIUKUKUKZGZCfr7h4ddtDzE0XmAgdOkCW7aY85qK7W0xPmhEBOzeDa1awZ49xsdfsMDYeCEh0L8/xMdDugmvqW7djI/p6wv16kFKStEfMKM1amR8TODQofLf5%2B23l/8%2Bb2Sq%2BImIiIhbUMXPdUr8RERExC0o8XOdZvWKiIiIeAhV/ERERMQtqOLnOlX8RERERDyEKn4iIiLiFlTxc50SPxEREXELSvxcp1O9IiIiIh5CFT8RERFxC6r4uU4VPxEREREPoYqfiIiIuAVV/FynxE9ERETcghI/1%2BlUr4iIiIiHUMVPRERE3IIqfq5TxU9ERETEQ6jiJyIiIm5BFT/XKfETERERt6DEz3U61SsiIiLiIVTxExEREbegip/rVPETERERuU5sNhvjx4%2BnQ4cOREZG8txzz5GdnX3F9T///HPuv/9%2BIiIiiImJYfXq1Y5lCxYsoFGjRjRr1szp69dffy11f1TxExEREbfgjhW/559/ntzcXDZs2EBeXh5PPPEEc%2BfOZerUqZetu2/fPiZNmsSrr75Kly5d%2BPrrrxkzZgx//OMfadOmDQCxsbHMmTPnmvujxE9ERETcwvVI/E6ePEl6erpTW0hICKGhoS7v%2B9dffyUhIYGPPvqI4OBgAEaPHs0TTzzB5MmTqVixotP6NpuNkSNHEh0dDUDnzp0JCwtj586djsTPVUr8RERExGPFx8ezcOFCp7axY8cSFxfn8r5//PFHrFYrDRs2dLQ1adKEc%2BfOcfjwYad2gE6dOtGpUyfH9/n5%2BaSnp1O9enVH208//cSAAQPYv38/NWvW5NlnnyUyMrLUfVLiJyIiIm7helT8%2BvfvT1RUlFNbSEhIuezbZrPh5%2BeHxWJxtAUGBgKQmZl51e3nzp1L5cqV6dmzJwA1atSgdu3aTJw4kdDQUOLj4xk1ahTr16/nj3/8Y6n6pMRPREREPFZoaKhLp3XXrVvH008/XeKyCRMmYLfby7xPu93O3Llz2bBhAytXrsTHxweAfv360a9fP8d6Q4cO5ZNPPmH9%2BvWMHz%2B%2BVPv2yMQvJiaGESNG0K9fPwYPHkyLFi2YNGmS2d0SERGR33EjTu6IjY0lNja2xGVff/01WVlZFBQUYLVagaIqIEDVqlVL3KawsJBnn32Wffv2sWrVKmrXrv278WvVqsXJkydL3d%2BbMvHLy8vjzTff5JNPPiEtLQ2LxULTpk154oknaNOmDZ999lmZ9rd8%2BXI%2B/PBDjh49SmFhIQ0aNGDUqFGOiy9FRETk%2BrsRE7/f06hRI%2Bx2O8nJyTRp0gSAxMREAgICqFevXonbzJ49mwMHDrBq1SqCgoKclr3xxhtERETQvn17R9uhQ4ccp4JL46a8j9%2BcOXPYvHkz8%2BfPZ9euXWzbto0OHTowbNgwUlNTy7SvpUuXsnz5cl566SW%2B%2BeYbvvnmGwYMGMD48ePZtWvXdToCERERcXfBwcHExMTw%2Buuvk5GRwYkTJ1i0aBF/%2BtOfqFChqPY2ZMgQPv30UwB27drF%2BvXrWbx48WVJHxRVC6dPn87hw4fJyclh6dKlHDlyhD59%2BpS6Tzdlxe/rr7/mgQcecMyW8fPz4/HHH6dWrVp4e3sTFRXFo48%2BysCBAwHIzs5m4sSJbN68mWrVqjFx4kR69Ojh2FeXLl1o2bKlY/9/%2BtOfCAwMpFq1agAMHjyYiIgIjhw5wpYtWwgMDGTq1KncfffdBh%2B5iIjIzcvdKn4AM2bMYNq0aXTr1o2KFSty3333MWHCBMfy1NRUTp06BcCHH37ImTNn6Nq1q9M%2B2rZty9KlS5k4cSJQdG2fzWajfv36LF%2B%2BnBo1apS6Pzdl4levXj0%2B%2BugjIiMjadSokaP9/vvvL3H9devWMWfOHP785z%2BzatUqJk2aREREBNWrV6devXr861//omfPntxxxx2ObS5N6t577z1efvllXn75ZVavXs2ECRPYunWr4749V1PSfYQqVQohJMT1%2BwiVhZeX86PRLpr4ZGg8o%2BM6VDDhJXjhOhPHo8EuTGgzjJ%2Bf86PhIiKMjxke7vxotHKaEVlqVao4PxrN19f4mN7ezo9G%2Bp1PnZDL%2Bfv78%2Bqrr4Tlh3gAACAASURBVF5x%2BebNmx3PZ8%2BezezZs6%2B4ro%2BPD1OmTGHKlCnX3J%2BbMvF7/vnnefLJJ%2Bnduze1atWidevWdO7cme7du%2BNdwoukefPmdOvWDYCHHnqIN954g%2B3bt9OnTx/i4uI4evQogwcPJiQkhFatWnHXXXdxzz334HfRO0nLli3p0qULAIMGDWLBggV89dVXV0w2L1XSfYTGjBnLuHGu30foWtxyiylhTXNhwpTxfE16owIICDAl7IWXieHK6d6nZbd7t0mBgXffNS%2B2Gbp3N7sHxqtVy/iYP/5ofMwL3LHid6O5KRO/W2%2B9lffee4%2BDBw%2Byfft2vv32W6ZOncpf//pX/vGPf1y2fv369R3PrVYrtWrVIi0tDSi6385bb71FamqqY18vv/wyr776KsuWLSP8wn/UF1%2Bk6eXlRc2aNcs0y6ak%2BwhVqhTCmTNlOnSXeXkVJX1nz5rzArvkJubXncVSlPTl5MA1zLh3me/5q9/HqdxZrUVJ3%2BnTUFBgePgte41Ndv38ipK%2BnTshK8vQ0AB0ebKV8UHDw4uSvkGDIDnZ%2BPiTJxsbr0qVoqTv88%2BhFPdGK3cXnQ0yjLd3UdJ37Bjk5hof3yRK/Fx3UyZ%2BxerXr0/9%2BvV5%2BOGHSU9Pp1%2B/fqxYseKy9bxKOK/pc0kJqHbt2vTv35/%2B/fuTlZXFww8/zJtvvslf//pXAAoueQO12%2B1ON2y8mpLuI3TqlHm/5IWF5sQ2I/kqjmtK7Px8E4JeUFBgSvwLl7IYLivLpNh79pgQ9ILkZHPiX3LZimEyM82Jbeapz9xcnXqVMrnpZvWeOHGCF198kaxL/rUPCQkhPDyc8%2BfPX7ZNSkqK43lBQQHHjh2jevXqZGVlMXPmzMtmAvv5%2BREREeG0r4vX%2Bf/t3X18zvX////bsbHNzNnYVk7zLiFh623kpDAxGfalsvROoRMaFsq8e0shZ9WcNUXCW7xTcxYa5WN0YlFZyCYqUq1hm2zYWTs7fn/s7fg5opr3cex4dRzH/Xq57HLseL5ex/F8vLB5HI/nyau8vJwzZ85c02RLERER%2BWOXihL2/HI3Lpf4%2Bfv7s3fvXiZNmsT3339PeXk5hYWFJCYmsm/fviuGUwEOHDjAp59%2BSklJCe%2B88w5FRUV069YNPz8/jh07xqRJkzh69CilpaUUFxezZ88eEhMTLfMCAQ4ePMjevXspLi7mP//5D/n5%2BXTt2tWRly4iIiLyh1xuqNfLy4s1a9YQHx/PI488wrlz5/Dw8KB169bMmzePO%2B6444rXDBkyhHXr1jF27FgCAwNZsGABtf878X3p0qXEx8cTExNjWXX7t7/9jaefftrqtikDBw4kISGB6OhoateuzaJFi666B4%2BIiIj8b9yxQmdvLpf4AQQFBTFz5szfPX750uk1a9b84Xv5%2BfnxzDPP8Mwzz/zheT4%2BPpb5fiIiImJ/Svxs53JDvSIiIiJydS5Z8RMRERHXo4qf7ZT42cGfDReLiIiI/BUo8RMRERGnoIqf7ZT4iYiIiFNQ4mc7Le4QERERcROq%2BImIiIhTUMXPdkr8RERExCko8bOdhnpFRERE3IQqfiIiIuIUVPGznSp%2BIiIiIm5CFT8RERFxCqr42U6Jn4iIiDgFJX6201CviIiIiJtQxU9EREScgip%2BtlPFT0RERMRNqOInIiIiTkEVP9sp8RMRERGnoMTPdhrqFREREXETqviJiIiIU1DFz3aq%2BImIiIi4CVX8RERExCmo4mc7JX4iIiLiFJT42U6J319Y7drG9e3nZ0y/prPZju2wWjXwqYdPYQ6Uljq2b4C6dR3f5yUG/SU3berY/mrUqHi87jqoU8exfQMQH%2B/4PgMCKh4nT4ZsB/9MAYwb59j%2BQkIgKgpefBEOHnRs3wCffeb4Pi/9vsrLg4ICx/cvTkuJn4iIiDgFVfxsp8UdIiIiIm5CFT8RERFxCqr42U6Jn4iIiDgFJX6201CviIiIiJtQxU9EREScgip%2BtlPFT0RERMRNqOInIiIiTkEVP9sp8RMRERGnoMTPdhrqFREREXETSvxERETEKZSX2/%2BrquXm5jJ%2B/Hi6dOlCt27dmDJlCkVFRVc9d9OmTbRq1Yq2bdtafR0%2BfPi/11/OggUL6NWrF6GhoTzyyCOkp6dfUzxK/ERERESqyNSpUyksLCQxMZGNGzdy4sQJ4uLifvf80NBQUlNTrb7atWsHwFtvvcV7773HsmXL%2BPDDD7nhhhsYM2YMZrO50vEo8RMRERGn4GwVv7Nnz5KUlMSECRPw9/cnKCiI6OhoNm7cSElJyTW/X0JCAsOHD%2BfGG2/Ez8%2BPCRMmcOLECb766qtKv4cWd4iIiIhTqIpELSsri%2BzsbKu2gIAAAgMDbX7vo0eP4unpScuWLS1tbdq0oaCggO%2B//96q/ZLTp08zYsQI0tLSqF27NjExMURGRlJUVMTx48e55ZZbLOf6%2BfnRrFkzUlNTCQ4OrlRMSvxERETEbSUkJLB48WKrtrFjxzJu3Dib3zs3Nxc/Pz9MJpOlrU6dOgDk5ORccb6/vz833HADEydO5KabbmLnzp3ExsYSGBjI3/72N8xms%2BX1l7/f1d7r9yjxExEREadQFRW/qKgowsLCrNoCAgIq/fotW7YQGxt71WMTJky4pvl3PXr0oEePHpbnERER7Ny5k02bNvH0008DXNP7XY0SPxEREXFbgYGBNg3rRkZGEhkZedVjn376KXl5eZSVleHp6QlUVAEB6tevX6n3b9SoEWlpadStWxcPDw/L6y/Jzc2t9HuBFneIiIiIk3C2xR2tW7fGbDZz7NgxS1tqaiq1a9emefPmV5z/9ttvs337dqu2EydO0KRJE7y9vWnRogVHjhyxHLtw4QI//fSTZdVvZSjxExEREafgbImfv78/4eHhLFy4kHPnznHmzBleffVV7r33XqpVqxh0ffjhhy3JXnFxMS%2B88AKpqamUlJSQmJjIJ598wv333w/A0KFDWb16NSdOnCAvL4%2B4uDhat25N27ZtKx2ThnpFREREqsiMGTN4/vnn6dWrF9WrV6d///5MmDDBcjw9PZ3z588D8NBDD5Gfn8%2BTTz5JdnY2jRs35tVXX%2BXWW28F4P777yc7O5thw4aRn59Pp06drliY8meU%2BImIiIhTcMZ79daqVYv58%2Bf/7vHdu3dbvjeZTERHRxMdHX3Vc00mEzExMcTExPzP8WioV0RERMRNqOInIiIiTsEZK35/NUr8RERExCko8bOdhnpFRERE3IQSPxt9/vnntGzZkl9//dXoUERERFyas23n8lfkkkO9YWFhZGZm4uFRkdd6eXnRsmVLxo8fT8eOHQ2OTkRERP4X7pio2ZvLVvyeffZZUlNTSU1NJTk5mbvuuovHH3%2Bc9PR0o0MTERERMYTLJn6Xq1GjBiNHjiQwMJBPPvmEc%2BfOERMTQ%2BfOnenQoQOPPfYYp0%2BftpzfsmVLVq1aRbdu3Vi2bBkAycnJDBw4kODgYCIjI9m3b59VH19%2B%2BSURERHceuutPPbYY1y8eNGh1ygiIuLqNNRrO5cc6v09l26S/PLLL5Ofn8%2BuXbswm82MHz%2Be2bNnEx8fbzk3KSmJzZs3U79%2BfTIzMxk3bhyzZs2id%2B/evPfee4wZM8Zq08XExETefvttzp8/z5AhQ9iwYQMjRoyodGxZWVlkZ2dbtTVoEGDTjaOdUjUH/5P8702zLY9S5WrUcGx/3t7Wjw4XEOD4PuvVs350tJAQx/bXqpX1o6P5%2Bjq%2BTx8f60dHKihwfJ9iN26R%2BOXn5/POO%2B9w7tw5unfvzuDBgyktLcX3vz%2Bsd911F0uXLrV6zd13302DBg0AeP/992nSpAn9%2BvUDYPDgwXh7e1N%2B2UeFkSNHUrt2bWrXrk1wcDAnT568phgTEhKuuO3KmDFjiYkZd83Xaw8mkyHdGvcfVe3axvRrpOrVDenWqP%2Bbr3I/dMdoFWVQx0CfPsb0G2XQNa9da0y/RmrRwvF9fv654/v8L3es0NmbyyZ%2BM2fOZPbs2QD4%2BPjQunVrVq1axfXXX893333H3LlzOXz4MEVFRZSXl1O3bl2r1zds2NDy/U8//UTjxo2tjkdERFg9v/y4j48PxcXF1xRvVFQUYWFhVm0NGgRgNl/T29iFyYQh/QKYcnMc26GnZ0XSd%2BEClJU5tm8APz/H9wkVSV9JiSFdHzvh2ITT27si6Tt5EoxYfN/qqwTHd1qvXkXS93//BzkO/pkCePFFx/bXqlVF0vfAA3DsmGP7BnjzTcf36eNTkfR99x0UFTm%2Bf4Mo8bOdyyZ%2Bzz77LEOHDr2ivby8nFGjRvH3v/%2BdHTt24O/vz/r161m4cKHVeZ6XDf15eHhYVfeuxmRjiSwwMPCKYV2jki9DlZYa029ZmXF9u5nCQmP6/fVXg/r%2BzRQOh8rJMab/gwcd3ydUJH1G9G3k0GdRkYZe5Zq4xeKOy509e5aMjAyGDRuGv78/AF9//fUfvqZx48ZXDN3%2B5z//0QphERERB9LiDtu5XeLn7%2B%2BPr68vhw4d4tdff%2BW9997j6NGj5OXlkZ%2Bff9XX9O/fn9OnT7Nu3TqKi4vZtm0b8%2BfPp2bNmg6OXkREROR/53aJX7Vq1Zg2bRrLli2jS5cu7N%2B/n/j4eK677jr6/M5E6AYNGrBixQpWrVpFaGgoy5Yt49VXX7VUDEVERKTqqeJnO5ec43f5NitXExkZSWRkpFXbjh07LN9/8803V7wmNDSU7du3X9HeqVOnK85fsGDBtYQrIiIileCOiZq9uV3FT0RERMRduWTFT0RERFyPKn62U8VPRERExE2o4iciIiJOQRU/2ynxExEREaegxM92GuoVERERcROq%2BImIiIhTUMXPdqr4iYiIiLgJVfxERETEKajiZzslfiIiIuIUlPjZTkO9IiIiIm5CFT8RERFxCqr42U4VPxERERE3oYqfiIiIOAVV/GynxE9EREScghI/22moV0RERMRNqOInIiIiTkEVP9up4iciIiLiJlTxExEREaegip/tlPiJiIiIU1DiZzsN9YqIiIi4CVX8RERExCmo4mc7JX5/YabyMmM69vQ0ru%2B0NMf25%2BcHoaFw/Djk5Tm2b2Diez0d3mejRvDUUzDvlepkZDi8e%2BZPOu3YDqtVAwJoVT8bSksd2zdAr16O79PHp%2BKxY0coKnJ8/5995tj%2BfH0rHt98EwoKHNs3wO23O77PkBA4cAAefhgOHnR8/2az4/sUu1DiJyIiIk5BFT/bKfETERERp6DEz3Za3CEiIiLiJlTxExEREafgjBW/3Nxcpk2bxhdffIGHhwfdu3dn6tSp%2BFyai3uZZ599li1btli1lZWVERkZyZw5c/jnP//J1q1b8fT0tBz39vYmJSWl0vGo4iciIiJSRaZOnUphYSGJiYls3LiREydOEBcXd9VzZ86cSWpqquXr4MGD/O1vf6Nv376Wc5544gmrc64l6QMlfiIiIuIkysvt/1WVzp49S1JSEhMmTMDf35%2BgoCCio6PZuHEjJSUlf/r6N998k4YNG9K9e3e7xaShXhEREXEKVZGoZWVlkZ2dbdUWEBBAYGCgze999OhRPD09admypaWtTZs2FBQU8P3331u1/9aFCxdYunQpa9eutWr/7LPP2LVrFz/%2B%2BCM33ngj06ZN49Zbb610TEr8RERExG0lJCSwePFiq7axY8cybtw4m987NzcXPz8/TCaTpa1OnToA5OTk/OFr//Of/xAaGkqLFi0sbU2aNMHDw4Mnn3ySmjVrsnjxYkaOHMmOHTuoV69epWJS4iciIiJOoSoqflFRUYSFhVm1BQQEVPr1W7ZsITY29qrHJkyYgPl/2Oy6rKyMt956i3nz5lm1jxkzxur5pEmTSExMJCkpifvuu69S763ET0RERNxWYGCgTcO6kZGRREZGXvXYp59%2BSl5eHmVlZZaVuLm5uQDUr1//d99z//79FBcX06FDhz/s29PTk%2Buvv56srKxKx6vFHSIiIuIUnG1xR%2BvWrTGbzRw7dszSlpqaSu3atWnevPnvvm7Xrl3cfvvtVKv2/9fnzGYzc%2BbMsXqv4uJifvrpJ5o0aVLpmJT4iYiIiFNwtsTP39%2Bf8PBwFi5cyLlz5zhz5gyvvvoq9957ryWpe/jhh9m%2BfbvV644ePUrjxo2t2kwmEz///DPTp08nMzOT/Px84uLiqF69OnfddVelY1LiJyIiIlJFZsyYQa1atejVqxcDBw6kXbt2TJgwwXI8PT2d8%2BfPW70mOzubBg0aXPFes2bN4oYbbmDw4MF06dKFo0eP8uabb%2BLr61vpeDTHT0RERJyCM965o1atWsyfP/93j%2B/evfuKth07dlz13Lp16zJnzhyb4lHiJyIiIk7BGRO/vxoN9YqIiIi4CVX8RERExCmo4mc7VfxERERE3IQqfiIiIuIUVPGznRI/ERERcQpK/GynoV4RERERN6GKn4iIiDgFVfxsp4qfiIiIiJtQxU9EREScgip%2BtlPiJyIiIk5BiZ/tNNQrIiIi4ibcsuIXFhZGZmYmHh7Wee91113Hzp07DYpKRERE/ogqfrZzy8QP4Nlnn2Xo0KFGhyEiIiLiMBrq/Q2z2UxcXBzdu3cnJCSEQYMGsX//fsvxYcOG8fLLLzNgwAAef/xxADIyMhg9ejSdOnUiNDSU2NhY8vLyjLoEERERl1Rebv8vd%2BO2Fb/fs2XLFjZv3syGDRsICAhgyZIlxMTEkJycjKenJwDbtm3jlVdeoW3btpjNZqKjo7nttttYsGABBQUFTJw4kRdffJEXXnih0v1mZWWRnZ1t1RZQvz6BAQF2vb6/PD8/x/bn62v96GCNGjm%2Bz8BA60eHq%2BbgXzuX%2BnN0v5f4%2BDi%2BTy8v60dHKy11bH%2BX/oyN%2BLMGCAlxfJ%2BtWlk/OtLBg47v87/cMVGzN5PZbDYbHYSjhYWF8dhjj111qLesrIyCggJq1aoFwMmTJ%2Bnbty9JSUk0adKEYcOGUa9ePV555RUADh8%2BzP33309KSgq%2B/00eUlJSeOSRRzh06BAmk6lSMcXHx7N48WKrtrFjxjAuJsaWSxUREbEvkwkMSh1atLD/e373nf3f86/MbSt%2BM2fOZPbs2VZtt99%2BOwsWLGD27Nl88sknnD9/3nKsuLjY8n2jy8o06enplJWV0alTJ6v3KisrIycnB39//0rFExUVRVhYmFVbQP36UFZW6WuyG09PY/oFOHDAsf35%2BkKbNnDkCBQUOLZvYN4noQ7vMzAQhg2DNWsgK8vh3fPUQ9l/fpI9VasG9epBTo7jK1EARkz78PKqKCdnZMBlv7scxtHX7ONTkRF89x0UFTm2b4CHH3Z8n61awdq18MADcOyY4/s3iCp%2BtnPbxO/3FndMmjSJb775hrfeeotmzZqRnp5O7969rc65NOQL4O3tja%2BvLwdtLH0HBgYS%2BNuxN6OSLyMZNTeyoMCQvjMyHN6lRVaWQf0bkXxd6teIvo1IRC4pLjamfwM%2BRAEV12pE3wYOfXLsmLH9i9PR4o7fOHz4MAMHDuSGG27AZDJx5MiRPzy/adOmFBQUkJ6ebmnLy8sjJyenqkMVERFxK1rcYTslfr/RuHFjUlNTKS4u5tChQ2zbtg2oWHxxNTfffDMhISHMmjWLc%2BfOceHCBZ5//nliY2MdGbaIiIjLU%2BJnOyV%2Bv/HUU09x4sQJOnbsyIIFC5g6dSq9e/cmOjr6d6t/8%2BbNw2w206tXL3r37k1ZWRlz5851cOQiIiIif8wt5/jt3r37d4/dcsstJCYmWrVdvtp2zZo1V7ymUaNGvP766/YLUERERK7gjhU6e1PFT0RERMRNuGXFT0RERJyPKn62U%2BInIiIiTkGJn%2B001CsiIiLiJlTxExEREaegip/tVPETERERcROq%2BImIiIhTUMXPdkr8RERExCko8bOdhnpFRERE3IQqfiIiIuIUVPGznSp%2BIiIiIm5CFT8RERFxCqr42U6Jn4iIiDgFJX6201CviIiIiJtQxU9EREScgip%2BtlPFT0RERMRNqOInIiIiTkEVP9sp8RMRERGnoMTPdhrqFREREXETSvxERETEKZSX2//LEVJTU%2BnduzdDhgz503NXr15NeHg4t912G0OHDiUtLc1y7Ndff%2BW5557jzjvvpFOnTsTExJCTk3NNsSjxExEREafgjInf1q1bGTduHM2aNfvTc3fv3k18fDwvvfQSe/fupWfPnowePZqCggIAFixYwJEjR0hISGDHjh2YzWaeeeaZa4pHiZ%2BIiIhIFfn1119JSEigffv2f3puQkICgwcPpn379vj4%2BPDoo48C8OGHH1JaWsqGDRuIjo7m%2Buuvp27duowfP56PPvqIzMzMSsejxR0iIiLiFKqiQpeVlUV2drZVW0BAAIGBgXZ5//vuu6/S5x45coR%2B/fpZnnt4eNC6dWtSU1Np3bo1Fy9epE2bNpbjN954Iz4%2BPhw5coSgoKBK9aHE76/M09PhXWZlZZGQkEBUVJTd/tFfk549HdpdVlYWCfHxhl3vfMdeLlBxzfHxCQwbZtDfMdc7tDerv%2BPrHds3AAb0aXXNzZs7vH9HM/rnGLPZ4V1arvmDDwz6OTZGVfxRx8cnsHjxYqu2sWPHMm7cOPt39idyc3OpU6eOVVudOnXIyckhNzcXgNq1a1sdr1279jXN89NQr1jJzs5m8eLFV3z6cVXudr3gftfsbtcL7nfN7na94J7XXFWioqLYtGmT1VdUVFSlX79lyxZatmx51a9NmzZdczzmP8lu/%2Bz4n1HFT0RERNxWYGCgTVXTyMhIIiMj7RJLvXr1LJW9S3Jzc2nRogX%2B/v6W5zVr1rQcP3/%2BPPXr1690H6r4iYiIiPwF3HrrrRw5csTyvKysjK%2B//pr27dvTpEkT6tSpY3X822%2B/pbi4mFtvvbXSfSjxExERETFI3759SUlJAWDo0KFs3ryZQ4cOUVhYyJIlS/Dy8qJHjx54enoyZMgQli5dyunTp8nJyWH%2B/Pn07t2bBg0aVLo/DfWKlYCAAMaOHUtAQIDRoTiEu10vuN81u9v1gvtds7tdL7jnNTur8PBwTp06RVlZGeXl5bRt2xaADz74gEaNGnHy5EnLPn133nknEydOZPz48fzyyy%2B0bduWZcuW4ePjA0BMTAz5%2BflERkZSWlpKz549mTZt2jXFYzLbOktQRERERJyChnpFRERE3IQSPxERERE3ocRPRERExE0o8RMRERFxE0r8RERERNyEEj8RERERN6HET0RERMRNKPETERERcRNK/ERERETchBI/ERERETehxE9EXFZOTo7RIYiI/KVUMzoAEUdYvHhxpc8dO3ZsFUZinHPnzuHv7w9AXl4e%2B/bto0mTJrRq1crgyOwrPz%2BfF198ka1bt1JaWkpaWhq5ublMnjyZOXPmWP4MXFFubi7JyclkZWVhMpkICgqiW7du1K5d2%2BjQxM5ycnKoV6%2Be0WGIE1Li56b2799f6XNDQ0OrMBLH2LNnj9Xzb7/9Fi8vLxo1aoTZbCY9PR2z2UxwcLBBEVatrVu3Mm3aNA4cOEBhYSH33HMPAOfPn2fSpEmW565gxowZZGVlsXz5ckaOHAlA9erV8fPzY%2BbMmcyfP9/gCKtGUlIS48ePx8/Pj%2Buvvx6z2czp06cpLCzklVdeoUePHkaHaHd5eXls2LCBkydPUlxcfMXxOXPmGBBV1XHnDzViP0r83NSwYcOsnptMJsxms9VzAE9PT9LS0hwaW1VISEiwfP/aa69xxx13MHr0aKpVq/gRKC4uZvHixXh7exsVYpVasmQJ8fHxAGzZsgUvLy82b97M8ePHmThxokslfh999BHvv/8%2B/v7%2Bln/HNWvW5Pnnnyc8PNzg6KrOrFmzeOaZZ3jggQcs1202m1mzZg3Tpk3jo48%2BMjbAKjBx4kTS0tIIDg7Gx8fH6HCqnLt%2BqBH7UuLnpg4fPmz5fvfu3XzwwQc89thj3HDDDZjNZr777jtWrFjB4MGDDYyyaqxZs4aPP/7YkvQBeHl5MWbMGHr06MGYMWMMjK5qnDlzhq5duwLwySef0K9fPzw9PWnZsiWnTp0yODr7MplM%2BPn5XdFeVlbGr7/%2BakBEjpGbm0tUVJQl6YOKP4uhQ4eyYMECAyOrOvv27eODDz6gUaNGRofiEO76oUbsS4s73JSXl5fla/78%2BcyYMYM2bdpQs2ZN/Pz8CAkJYcaMGcyePdvoUO3O09OTr7/%2B%2Bor2b775Bg8P1/yRqFevHpmZmeTk5LBv3z7CwsIAyMzMdLlKSUhICC%2B99BJFRUWWtoyMDKZMmULHjh0NjKxq9ejRg717917RnpKSQvfu3Q2IqOo1a9aMOnXqGB2Gw7jrhxqxL1X8hJycnKv%2B0igvLyc3N9eAiKrW0KFDGT58OHfeeSeNGzemrKyM06dPk5yczMMPP2x0eFXi/vvv595778XT05NOnTrRsmVL8vLymDBhAn379jU6PLuaOnUq0dHRdOjQgdLSUv7%2B979TUFBAcHCwSw%2BFNW3alEmTJhESEkLz5s0pKyvjp59%2B4uDBgwwcONDq2idOnGhgpLa5fC7flClTmDt3LiNHjqRx48ZXnOvl5eXI0KrcpQ81Tz/9tKUtIyODWbNmufSHGrEvk/nyiV3iliZOnMi3337L0KFDady4MaWlpZw5c4aEhASaN2/OokWLjA7R7pKTk0lKSuLMmTOUlJQQGBjIHXfcQb9%2B/YwOrcocPHiQCxcu0LlzZ7y8vCgtLWXlypUMHz7c5f6DhIrpDD///DPe3t40bdqUFi1aGB1SlfrtvN3fYzKZWL16dRVHU3VatWplNZxtNputnl/u6NGjjgrLIU6dOkV0dDTHjx%2BntLSUmjVrUlBQQEhICPPmzeP66683OkRxAkr8hMLCQpYsWWJJhIqLiwkMDOTOO%2B/k6aefvurQgjifY8eOWbZuycjIYOfOnTRt2tQy7Osq/mjOooeHBw0aNLCa3ynO5Ysvvqj0ua5aBUtN/iv9BgAAFxtJREFUTSU9Pd1tPtSIfSnxE7dTVlbGihUr2Lx5M9nZ2ezfv5/8/HzmzZvH5MmTXXJl77///W9ef/11PvvsM3Jzc4mIiODGG28kMzOTe%2B65h8cff9zoEO3mtxWh3/Lw8KBLly7MnDmToKAgB0ZWdQ4ePEiDBg1o0qQJULFd0ZIlSygsLKRXr17cd999BkdYdS5cuEBZWZllT7uff/6ZmjVruuQed6NHj2bp0qVGhyFOzjVnskulFBcXV%2BrL1cydO5dt27YxatQoy9zGkpISTpw44XL7fl2yZs0aVqxYAcC7775L48aNWb16NStXrmT9%2BvUGR2dfr7/%2BOq1bt2b69Ols2rSJd999lxkzZtCuXTtee%2B01VqxYgaenJy%2B88ILRodpFUlISDz30EN988w1Qsdfb8OHD%2BfHHH2ncuDHz5s1j06ZNBkdZNT777DPCwsLYt2%2Bfpe3jjz%2Bmd%2B/efP755wZGVjVOnTrlEttribFU8XNjf1YZuTR3xtXmyXTp0oX169fTqFEj2rdvz1dffQVAdnY2gwYNIjk52eAI7S8kJISDBw8C8Mgjj9CtWzdGjBhxxTFXMGjQIBYuXEizZs2s2k%2BePMmUKVNYu3YtFy9epE%2BfPlYJg7MaMmQIUVFRlr0Y169fT1xcHB9%2B%2BCG%2Bvr7s2bOHRYsWsWHDBoMjtb9Bgwbx0EMPMWjQIKv2bdu2sXz5ct59912DIqsacXFxbN%2B%2BnXbt2tGwYcMrpiw486IdcRxNdHFjzjzB2xYlJSVcd911V7TXqFGD/Px8AyKqeoGBgRw/fhwfHx%2B%2B%2BOILpk2bBlQkQ7Vq1TI2ODv7/vvvr3oHg4CAAKttfMrLyx0ZVpX57rvvGDBggOV5cnIy3bt3x9fXF4Dbb7%2BdmJgYo8KrUj/88AMDBw68or1Pnz48%2B%2ByzBkRUtb766isaNWrEL7/8wi%2B//GJ17I8%2BxItcTomfG7s08fmrr76iffv2BkfjOG3atGHlypU89thjlrbCwkLi4uK49dZbDYys6owaNYr77rsPs9nMoEGDaNKkCRcvXuSJJ55wqbt2AAQHB/PEE08wcuRIGjZsSPXq1cnIyODf//43N910E6WlpYwbN47OnTsbHapdmEwmPD09Lc%2B//PJLnnzySctzV92bEiq2sNm5c%2BcVWxJt3ryZhg0bGhRV1VmzZs3vHnO1kRmpOhrqFTp06MDevXtdckuPqzl27BiPPvooAL/88gstWrQgPT0df39/XnvtNVq2bGlwhFUjMzOTvLw8brzxRqBiKH/79u107tzZpe7xmZOTw7/%2B9S%2BSk5MpKSkBKjbtDg0NJTY2lltuuYUpU6YQGxvrEpv/Dhw4kJkzZ9KuXTv279/PQw89RFJSkuVuFseOHSMmJob/%2B7//MzhS%2B0tOTmbcuHE0a9aMxo0bU15ezsmTJzl9%2BjTLly%2BnQ4cORodod2azmVOnTlnNv87MzCQ6OpoDBw4YGJk4CyV%2BwptvvslPP/3EAw88QMOGDa2qB%2BB6m6ACFBUV8eGHH5Keno6Pjw9NmzalW7duLr/NR3l5OaWlpZbnl1b1XssWGc7CbDaTm5uL2Wzm66%2B/ZtOmTezatcsyp9NVrFq1itWrV9OjRw%2BSkpJo06YNS5YsASpWuMbGxtK%2BfXsmT55scKRVIzMzk/fff5/09HRMJhNNmjShf//%2B1K9f3%2BjQ7C4lJYWYmBhycnIA6z0M77rrLsv9uEX%2BiBI/ISQkhNLSUquE4HKuNoQwbdo0%2Bvfv75LVgN/z3XffMXnyZL799lvKysqsjrVr146EhASDIqs6p06dsqzqzc7OJiwsjMGDB3PnnXcaHZrdrVy5kr1799K8eXPGjRtH7dq1AZg5cybffPMNS5cupWbNmgZHaX9vvPGG1ZQNVzd48GB69epFv379GDhwINu3byctLY3t27czdepUAgMDjQ5RnIASP/nTao%2BrbYL6xBNPsHfvXurUqUPfvn2JiIhw%2BTmODz74IM2bNyc8PJzRo0fzxhtvcOTIEfbu3cuCBQtcYsgTKrYoSkpKYv369XzxxRe0b9%2Be1NRU1q9fb9m82p3k5%2Be7ZMJ3Sbdu3di6datLTVX4IyEhIRw4cACTyUS7du04fPgwAIcOHWLRokX8%2B9//NjhCcQZK/MRKTk6OS258%2BluFhYV88sknJCUl8dFHH1GrVi3uvvtuIiIiuOWWW4wOz%2B46dOjAZ599RrVq1az%2Bw9izZw8bNmxwidvyvfDCCyQmJlK3bl0GDBhAZGQkTZo0ISQkhK1bt1o2N3ZlWVlZ7N27l6ysLLy8vAgKCuKOO%2B5w2bvvrFq1il27dtGvX7%2BrTlPp1q2bQZFVjR49erBu3ToCAwPp1q0bb7/9Nk2aNKGkpISOHTu61LZMUnVce0KTVEp%2Bfj4vvvgiW7dupbS0lLS0NHJzc5k8eTJz5sxxyU/TNWrUIDw8nPDwcEpLS9m7dy/Lli1j5cqVLje0DeDj40NhYSG1atXC19eXrKwsAgMD6dy5M%2BPHjzc6PLt46623iIiI4Mknn6Rp06ZGh%2BNwO3bs4KmnnsLPz49GjRphNpvJyMiguLiYhQsX0r17d6NDtLu5c%2BcCsH///iuOueIepP379%2Beee%2B7h/fff54477mDcuHEMHDiQ1NRUGjdubHR44iSU%2BAkzZswgKyuL5cuXM3LkSACqV6%2BOn58fM2fOZP78%2BQZHWDWKi4tJTk62VP08PT35xz/%2BYXRYVaJHjx48%2BOCDvP3224SGhvLMM88wZMgQvvrqK5ep8C5fvpwNGzYwYMAAWrduTWRkJHfffbfRYTnM/PnziY2N5cEHH7Rs4VJeXs7bb7/NnDlzXDLxO3bsmNEhONTTTz/NTTfdRM2aNZkyZQrTp09n3bp1NGrUiJdeesno8MRJaKhX6NSpE%2B%2B//z7%2B/v5Wd7K4cOEC4eHhLnF3g8tt3ryZXbt2kZycjJ%2BfH%2BHh4fTt25e///3vLrsJanFxMW%2B88QajR4/m7NmzTJgwgdTUVBo1asRzzz1Hly5djA7RbnJyctiyZQsbN27k5MmTlJeXM336dAYNGuTSq7ZDQkL44osvqF69ulV7aWkpoaGhbjUMWFhYSO/evV3mLjzh4eHs2LHDqm3UqFG8/vrrBkUkzsx1fwtKpZlMpqvOASorK7Pcy9aVxMXFER4ezhtvvOHSyd7lvLy8GDNmDABBQUGsXbvW4IiqTr169Rg%2BfDjDhw/n0KFDrF%2B/njlz5rBgwQIGDhzIP//5T6NDrBJhYWF8%2Bumn9OjRw6p9//79LlntAzhz5gyzZ88mLS3Nal%2B7/Px8l1rhevr06SvaPvvsMwMiEVegxE8ICQnhpZde4umnn7a0ZWRkMGvWLJdb0QsVCxrcIdm7li1aoqKiqjAS4wQHBxMcHMyUKVPYtm0bGzduNDoku7p8Goa/vz%2BTJ0%2BmXbt23HTTTZhMJk6ePMmBAwdc9u/3ueeeA2D06NHMmDGDadOmceTIEY4ePcqrr75qcHT24w6/r8RxNNQrnDp1iujoaI4fP05paSk1a9akoKCA4OBg5s%2Bfz/XXX290iDbr1asXu3btAv58pZ%2BrDA%2BFhYVV6jyTyWT5sxHnMmzYsEqdZzKZXPLe3B07duTjjz%2BmRo0aVtNUEhMTSUlJsdyT2tldfm1/1CZSGar4CQ0bNmTz5s0cPnyYn3/%2BGW9vb5o2bUqLFi2MDs1uLr9J/VNPPWVgJI6ze/duo0OQKvZH9251B9WqVbMsZPH29iY3N5e6devSp08fpk%2Bf7jKJn4g9KfETTp06BUCDBg1o0KCBVbuHhwcNGjRw%2BknxkZGRlu/Pnj1Lv379LPcydQclJSW8%2BuqrdOvWzXLHkq1bt3L8%2BHHGjh3rkrflcwcbNmzg3nvvBf54aN9kMjFkyBBHheUwHTp0YMyYMcTHx9O2bVvmzp3Lgw8%2ByKFDh/D29jY6PLspKytj3bp1XD5Ad7U2Vx3SF/vSUK/QqlWrP5xD4uHhQZcuXZg5cyZBQUEOjKxqREZG8u2339KuXTsiIiLo27evS00Ev5rnnnuOtLQ05s6dy8033wzA119/zYwZM2jZsiXTp083OEL5X/Tt25cPPvgAuPrQvslkstzP1RWH83Nycnj55ZeZPn06P/zwA6NGjeLUqVP4%2Bvoyffp0BgwYYHSIdlGZaRuu%2Bncs9qfET/j4449ZtGgR999/P23btsVkMpGamsqGDRsYPXo0NWrUYNWqVVSrVo3FixcbHa5dpKenk5SUxM6dOzl8%2BDAhISHcfffd9O3b1yU3rO7SpQvbtm27Ys%2B%2BnJwc%2Bvfvz6effmpQZGIPGRkZVK9e3fIBJjMzk9WrV1NUVERYWBhdu3Y1OEL7%2B/nnn9mzZw%2Benp50796doKAgzGYzZ8%2Bexd/f/4q7eIhIBSV%2BwqBBg1i4cCHNmjWzaj958iRTpkxh7dq1XLx4kT59%2Brjcnn5QMfSblJTE1q1bOXz4MGlpaUaHZHedOnVix44d1K1b16o9KyuLfv36kZKSYlBkYquUlBQeffRRZs6cSf/%2B/SkuLmbAgAGUlJRw88038/nnnzN//nx69uxpdKh2s3//fh5//HECAwMpKysjJyeHVatW0bZtW6NDE/nLc%2B6JW2IX33///VWrXAEBAXz99deW5%2BXl5Y4MyyG%2B%2BeYbkpKS%2BPDDDzl%2B/LjL3dvzkj59%2BjBmzBhGjhxpuZ3XyZMnWb58OREREUaHJzaIj49n9OjR9O/fH4CdO3eSlZVFUlIS9evXJzExkRUrVrhU4rdo0SJiYmIYMWIEACtWrGDevHmsWrXK2MBEnIAqfsLDDz9MWVkZI0eOpGHDhlSvXp2MjAxWrVrFhQsXeOedd3j00UepW7cuCxcuNDpcm6WkpJCUlMSuXbvIzMykS5cu9O3bl7vuustlb2ZfVFTE/Pnz2bx5MxcuXACgdu3aDB48mKeeeuqKuz2I87jttttITk7G19cXgNjYWIqKinjllVeAir/7rl278uWXXxoZpl2FhoaSnJxsWcBRUFBAz549%2Bfzzzw2OTOSvTxU/YeHChfzrX//iySefpKSkBABPT086dOjAokWLqFatGo0aNSI2NtbgSO1jxIgRdO3alTFjxrh0snfJpblQN910E%2B%2B99x5eXl54eHhQp04do0MTOzCbzdSoUcPyPCUlxXLPbajY5sTVqvXFxcVWq3Z9fX0pKioyMCIR56HET6hXrx5LlizBbDaTm5uL2Wymbt26lv2xAGbNmmVghPY1atQoxo4da3QYDvHbuVAvvvii5kK5mKCgIE6cOMFNN93EsWPHOH36NJ07d7Yc/%2BGHH65Y1CMi7kuJnwCQmprKiRMnrnpvXlfbG%2Bqdd97hgQcecMnVu7%2BluVCur1%2B/fsTGxhIREcG7775LcHAwN954I1Bxz9q4uDiXm7uqfe1E/nea4yfMmjWLNWvW4O/vj4%2BPj9UxV9wbatWqVezatYt%2B/frRsGHDK7Z9cKX/JDUXyvWVlpYyZ84c9u7dS/PmzZk6darlNovTp09n7969rFmzxqX2qtS%2BdiL/OyV%2BQseOHVm0aJHV8JAra9Wq1e8eM5lMHD161IHRVC3d49O9ZWZm4u/vr8U7ImKhoV7By8vLchsvd3Ds2DGjQxBxCFe4046I2JcSP2H48OGsXLmSUaNGGR2K2JnmQomIyOU01CtER0dz4MABqlWrRsOGDa1W80LFYghX8mf3JnaloV7NhRIRkcup4ifccsst3HLLLUaH4TBvvPGG1fPy8nJ%2B/PFHEhMTefTRRw2Kqmrs3r3b6BBEROQvRBU/kf/68ccf%2Bec//8nbb79tdCgiIiJVwuPPTxF3sG3bNh5//HH%2B3//7f0DFzvgrVqzAnT4XXHfddVr4ISIiLk1DvcJrr71GQkICUVFRLF26FIALFy6wefNmLl68yPjx4w2O0L4SEhKuaCssLOTjjz%2BmadOmBkQkIiLiGBrqFbp3787y5ctp0aKF1R5v6enpPPTQQ3z44YcGR2hfV1vw4OPjQ9OmTRk/fvwf7vMnIiLizFTxEy5evEiLFi2uaA8MDOTcuXMGRFR1MjIyeOeddyx3McjMzGT16tUUFRURFhampE9ERFya5vgJN998M1u3br2ifeXKlZZ7frqClJQUIiIi%2BOKLL4CKeYwPPfQQ77//PhkZGYwdO9blqpsiIiKXU8VPePLJJxkzZgxr166lpKSEJ554gm%2B//Zbz58/z2muvGR2e3cTHxzN69Gj69%2B8PwM6dO8nKyiIpKYn69euTmJjIihUr6Nmzp8GRioiIVA3N8RMAzpw5w7Zt2/jpp58s890iIiKoW7eu0aHZzW233UZycjK%2Bvr4AxMbGUlRUxCuvvAJAUVERXbt25csvvzQyTBERkSqjip8AEBAQwCOPPAJUbGh87Ngxl9vKxWw2U6NGDcvzlJQURo4caXnu7e1NeXm5EaGJiIg4hOb4CcnJyXTv3h2A0tJSHnjgAf7xj38QFhbmUnPegoKCOHHiBADHjh3j9OnTdO7c2XL8hx9%2BoF69ekaFJyIiUuVU8RPi4uKYOHEiULGR89mzZ9m7dy9paWnMmTPHZea89evXj9jYWCIiInj33XcJDg62LF7Jz88nLi6Obt26GRyliIhI1VHiJ/z4448MGjQIgI8%2B%2BoiIiAhq1KhBaGgoP/zwg7HB2VF0dDTnz59nw4YNNG/enKlTp1qOxcXFcfz4cZ5//nkDIxQREalaWtwhdOvWjW3btuHt7c2dd97JsmXLCA4OJicnh/DwcMv2J64sMzMTf39/qlevbnQoIiIiVUYVP6F///48/PDDeHp60rx5c4KDgykqKuL555%2Bna9euRofnEEFBQUaHICIiUuWU%2BAmTJ09m27ZtXLhwgYiICAA8PDyoW7cukyZNMjg6ERERsRcN9QoA586dw9/fH4C8vDz27dtHkyZNdAszERERF6LtXIStW7dy1113AVBYWMg999xDXFwcw4cPZ%2BPGjQZHJyIiIvaixE9YsmQJ8fHxAGzZsgUvLy%2B2b9/Om2%2B%2BycqVKw2OTkREROxFiZ9w5swZyyKOTz75hH79%2BuHp6UnLli05deqUwdGJiIiIvSjxE%2BrVq0dmZiY5OTns27ePsLAwoGKLEx8fH4OjExEREXvRql7h/vvv595778XT05NOnTrRsmVL8vLymDBhAuHh4UaHJyIiInaiVb0CwIEDB7h48SKdO3fGy8uL0tJSVq5cyYgRI7SpsYiIiItQ4ie/q6CggD59%2BpCcnGx0KCIiImIHGuoVzpw5w%2BzZs0lLS6O4uNjSnp%2BfT2BgoIGRiYiIiD1pcYfw3HPPUVRUxKhRo8jNzWX8%2BPH07t2bli1bsnbtWqPDExERETvRUK/QsWNHPv74Y2rUqEH79u356quvAEhMTCQlJYVp06YZG6CIiIjYhSp%2BQrVq1fDwqPin4O3tTW5uLgB9%2BvRh27ZtRoYmIiIidqTET%2BjQoQNjxoyhsLCQtm3bMnfuXNLS0li3bh3e3t5GhyciIiJ2oqFeIScnh5dffpnp06fzww8/MGrUKE6dOoWvry/Tp09nwIABRocoIiIidqDEz839/PPP7NmzB09PT7p3705QUBBms5mzZ8/i7%2B%2BPp6en0SGKiIiInSjxc2P79%2B/n8ccfJzAwkLKyMnJycli1ahVt27Y1OjQRERGpAkr83NiDDz5Ir169GDFiBAArVqxgz549rFq1ytjAREREpEoo8XNjoaGhJCcnWxZwFBQU0LNnTz7//HODIxMREZGqoFW9bqy4uNhq1a6vry9FRUUGRiQiIiJVSYmfiIiIiJvQvXrdWFlZGevWrePy0f6rtUVFRRkRnoiIiNiZ5vi5sbCwsD89x2QysWvXLgdEIyIiIlVNiZ%2BIiIiIm9AcPxERERE3ocRPRERExE0o8RMRERFxE0r8RERERNyEEj8RERERN6HET0RERMRNKPETERERcRP/H%2BcO13VE1rHyAAAAAElFTkSuQmCC\" class=\"center-img\">\n","    <img 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OWLRbg0lfqWZPW46W6sWHDwIdeuCHb5CypTvXFcelPClG8ViMICbG1y4APa40MMjP9O2AQ0G8PCArCy7HPCZi%2BVtHtNgAC8vOHfOPv/G3hWc63Wcl2%2BfG4QbjZCfb5fQuLjYJ%2B6t%2BFyMnjWLOXPmWLQNHz6cqKioEo1z5swZTCYT3t7eFu3e3t6kpaXh4%2BODp6enxQ3nC9dNS0srsX4o8RNLPj4Fr2gfH3v3xGYMBvt8ONqTHb/IwvYMhv89nOQf2gkP2ckOtoBTvY5voZ49exIeHm7R5ufnd8viXWtqhS2mXSjxExEREcdgLPmpCf7%2B/sU%2BrWsNHx8fjEYj6enpFu3p6elUqlQJX19fMjIyyMvLw%2BWfkmrhupUqVSqxfmhyh4iIiMgt5ubmRt26dYmLizO3nT17lqNHj9K4cWPq16%2BPyWQiPj7evDw2NpYKFSoU%2BT3nN0uJn4iIiDgGo7HkH7dQUlISnTp1Mt%2Brr1evXixZsoTDhw%2BTkZHBtGnTqF%2B/PsHBwfj6%2BhIREcHMmTNJTU3l1KlTzJ07l8cff5wyZUruBK1O9YqIiIhjuMWJ2s0IDg4G4OLFiwDExMQABdW63NxcEhISyMnJAeDJJ58kJSWFPn36kJmZSWhoqMXEkkmTJjFhwgQ6dOhA2bJlefjhh697U%2BgbpRs4l2b2uHI3JAR274ZmzWDPHpuHt8esXnteE26vWb3u7gWxnWJWr9H4v1m9dpgCaY9ZvUbj/2b12mPWp11m9drxhWyvWb0uLpCXZ5fQ9pvV6%2BZW8vu8cKHk91mKqeInIiIijqEUVvwcjUZQRERExEmo4iciIiKOQRU/qynxExEREcegxM9qGkERERERJ6GKn4iIiDgGVfysphEUERERcRKq%2BImIiIhjUMXPakr8RERExDEo8bOaRlBERETESajiJyIiIo5BFT%2BrKfETERERx6DEz2oaQREREREnoYqfiIiIOAZV/KymERQRERFxEqr4iYiIiGNQxc9qSvxERETEMSjxs5pGUERERMRJKPErYRcuXCAoKIiff/7Z3l0RERG5vRiNJf9wMjd0xOHh4TRs2JDg4GCCg4Np3rw5vXv35pdffrlV/St1fv75Z4KCgrhw4YK9uyIiIiJyQ2441R03bhyxsbHExsayZcsWOnbsyKBBg0hMTLwV/RMREREpoIqf1aw6Yg8PD5599ln8/f3ZtGkTqampjBgxgtatW9OiRQsGDhzIyZMnzevPmzeP9u3b06RJEyIiIli5ciUA%2Bfn5TJ06lbCwMJo2bcojjzzC5s2bzdtt376dnj17EhISwr333svcuXPNy2bPns1zzz3H/Pnzadu2LS1btmTy5Mnm5ampqfTt25fGjRsTGRnJjz/%2BSFBQEMeOHQPg%2BPHjDBkyhNDQUFq2bMnYsWPJyMgACqp7ISEhLFq0iGbNmrFnz54rxuD8%2BfO88MILtGjRgo4dO7JhwwZrhlRERESuRomf1UpkVm9eXh4uLi68%2B%2B67ZGZmsn79ekwmEyNHjuStt95i9uzZ7N69myVLlrBs2TKqVavG1q1biYqKIiwsjG3btrFt2zZWrVqFt7c3K1as4KWXXuLHH3/k9OnTDB06lAkTJtC1a1cOHTrEgAEDqFGjBl27dgVg9%2B7dNG7cmB9%2B%2BIFdu3bRr18/HnnkERo3bsxrr71Gbm4umzZtIi0tjdGjR5v7bTKZGDp0KM2aNWPGjBnmJO6dd97hzTffBCA3N5e//vqLbdu24ebmdsVp7Q8//JD4%2BHjWrFmDm5sbEyZMuKkxTE5OJiUlxaLNr1Yt/H18bmp/N61ePctnuaUMBvvFtEdswPZvtJcesB3e5O3xuVIY0wk/00TkOqxK/DIzM/n8889JTU3lvvvu49FHH%2BXixYuUK1cOgI4dO/Lhhx8CcO7cOYxGI%2B7u7hgMBsLCwti1axdGo5GzZ89SpkwZPDw8cHFx4bHHHqN79%2B4YjUZWr15N3bp16datGwBBQUE8%2BeSTrFy50pz4ubi4MHjwYIxGI61bt8bX15fDhw/TqFEjNm/ezMyZM/Hx8cHHx4eePXsyfvx4AGJjYzl48CBLly7Fw8MDDw8PoqKi6N%2B/P5MmTQIKEr/evXvj7u5e5BisW7eO3r17U6VKFQAGDhzId999d8NjGR0dzZw5cyzahj//PFHPP3/D%2ByoRn31ml7D2ykXslQRd5b%2BVTbi52Suyh33C2mmwvewStUD58vaKbKcXlJ1eyC4udglrt9h5ebaPaaa/Zqx2w4nf5MmTeeuttwBwd3enfv36LFq0iGrVqnHw4EGmTp3K/v37yc7OJj8/H59/KlatW7emQYMGhIeH07p1a9q1a0dkZCTlypWjS5curFy5knbt2tG2bVvuv/9%2BunTpgtFo5OjRo8TGxhIcHGzug8lkolatWubf77jjDoyX/Gfw8PAgOzub9PR0cnNzqV69unnZpftJTEwkLy%2BP0NBQi2PMy8sjLS3NYv9Xc%2BrUKe68807z7zVr1izuUFro2bMn4eHhFm1%2BXbvC4sU3tb%2BbVq9eQdLXuzfEx9s2NmDatdvmMQ0GMJlsHhYAe8wRMhgKkr4LF%2Bxz3O6mLNsGNBgKkr7sbLsc8LmLtk90jcaCpC8zE/LzbR4eL087/Mey4ws5L99%2BCaddkzBxSDec%2BI0bN45evXpd0Z6fn8/gwYNp3rw5a9euxdfXly%2B%2B%2BIKZM2cC4Orqaj4tun79ej799FMWLFjA8uXL8fHxYdmyZezevZsffviBWbNmsXTpUj799FPc3d257777zJXDohiv8heA6Z83gTJlyhS5rpubG%2BXKlSvy2r1LXbr95XJzc8m75JVnusk3Hn9/f/z9/S0bExJual8lIj4erjMuYj17JZyFse0S39aZSOFr3mSySxZkj8Tr0tj2jC9S4lTxs1qJjeDff//N8ePH6dOnD76%2BvgD89ttv5uW5ublkZGRQr149hg0bxooVKzAYDGzbto0LFy6QlZVFs2bNGD16NKtXr%2BbAgQPEx8dTo0YNDhw4YJFQpaSkkJOTc90%2B%2Bfj44OLiwokTJ8xtsbGx5p9r1KjB%2BfPnLWYkZ2RkWFT7rsff399iAsuhQ4eKva2IiIjcAE3usFqJHbGvry/lypVj7969XLhwgW%2B%2B%2BYbff/%2BdjIwMMjMzWbBgAQMHDuTUqVMAHD58mDNnzlCjRg2mTJnCSy%2B9RGpqKiaTibi4OPLz87njjjvo0qUL6enpvP/%2B%2B2RnZ5OYmMizzz7L4mKcAnVxcaFFixYsXLiQc%2BfOkZCQwBdffGFeHhgYSEhICFOmTCE1NZWzZ88yYcIExo4dW%2Bzjvvfee1m2bBkpKSmkpqby0Ucf3fjgiYiIiNhAiSV%2BZcqU4Y033mDevHm0adOGHTt2MHv2bKpWrcqDDz7IM888Q2BgIN26daNp06aMHDmSMWPGUL9%2BfUaPHo3RaCQiIoJmzZoxZcoUpk%2Bfjq%2BvLxUrVuT9999n/fr1tGzZkqeeeor27dvz7LPPFqtfU6ZM4ezZs7Rt25ZXXnmFwYMHFxz4P1n%2B9OnTMZlMdOjQgQceeIC8vDymTp1a7ON%2B8cUXqVWrFp06deLxxx%2Bne/fu1zw1LCIiIjdJFT%2BrGUw3e1GaA8nJycHV1RWAn376iWeeeYZ9%2B/aZ20ote8xQCwmB3buhWTO7XONnyrf9f0d7Tu7IzrZ9TDvPdcAjP9O2AY1G8PCArCy7XPB25qLtp9YajeDlBefO2ecaP%2B8KmtxhC/ac3GG3mcwNG5b8PuPiSn6fpdhtX5p69dVXOX78OLNnz8ZgMLBw4ULatGlT%2BpM%2BERERseSEFbqSdtuP4Isvvoi3tzcdO3akY8eOuLi4MGXKFHt3S0RERG6UTvVa7bav%2BFWsWJFZs2bZuxsiIiIidnfbJ34iIiJym3DCCl1J0wiKiIiIOAlV/ERERMQxqOJnNSV%2BIiIi4hiU%2BFlNIygiIiLiJFTxExEREcegip/VNIIiIiIiTkIVPxEREXEMqvhZTYmfiIiIOAYlflZT4iciIiJyk44fP87EiRPZt28f5cqVo3PnzowePRrjZUnqs88%2By44dOyzaLl68yLBhwxg%2BfDh9%2BvRh9%2B7dFtvVqlWLVatWlWh/lfiJiIiIYyiFFb%2BoqCgaNmxITEwMp0%2BfZvDgwVSuXJlnnnnGYr0FCxZY/H727Fk6d%2B7MAw88YG578803efTRR29pf0vfCIqIiIg4gNjYWOLj4xkzZgxeXl7UrFmTfv36ER0dfd1tZ86cyQMPPEBQUJANevo/qviJiIiIY7gFFb/k5GRSUlIs2vz8/PD397/utnFxcVSvXh1vb29zW8OGDUlISCAjIwNPT88it/vrr79YsWIFMTExFu3ffvstH330ESdPnqRJkyZMmjSJGjVq3MRRXZ0qfiIiIuIYjMYSf0RHR/Poo49aPIpTsQNIT0%2BnQoUKFm2FSWBaWtpVt5s3bx6PPfYYvr6%2B5rbatWtTt25dPvvsM9avX4%2Bvry8DBgwgJyfnJgbq6lTxExEREafVs2dPwsPDLdr8/PyKvb3JZLqheOnp6axcuZL//ve/Fu1vvPGGxe%2BTJk0iNDSUXbt20bp16xuKcS1K/ERERMQx3IJTvf7%2B/sU6rVsUX19f0tPTLdrS09MxGAwW1bxLrV%2B/nlq1ahEQEHDNfXt6euLt7U1SUtJN9e1qdKpXRERE5CY0atSIkydPkpqaam6LjY2lTp06lC9fvsht1q9fT9u2bS3aMjIyeOONNyySvNTUVFJTU6%2BbIN4oJX4iIiLiGG7BNX7WaNCgAcHBwUyfPp2MjAwOHz7MwoUL6dWrFwCdOnVi586dFtv8/vvv3HnnnRZtnp6e7Nu3j8mTJ5Oens6ZM2eYOHEiQUFBhISEWNXHyynxExEREcdQyhI/gFmzZpGcnEzbtm15%2Bumn6datG7179wYgISGB8%2BfPW6yfkpJC5cqVr9jP3LlzMZlMREREcP/995Obm8u8efOuuBG0tQymG70qUWzGXv8yBoMdYxsNtg0YEgK7d0OzZrBnj21jA9Gf236gK1aEBx%2BE77%2BHa0w6u2U6d7ZtPKMRypeHzEzIz7dtbACv8yV7fU6xlCkDlSrB6dNw8aLt42dk2DaeqysEBEBiIpTwDMhi2bvX9jF9fKBDB1i/Hi67xswmHnvM9jEBIiJKfp9r15b8PksxTe4QERERx1AKv7nD0SjxExEREcegxM9qGkERERERJ6GKn4iIiDgGVfysphEUERERcRKq%2BImIiIhjUMXPakr8RERExDEo8bOaRlBERETESajiJyIiIo5BFT%2BraQRFREREnIQqfiIiIuIYVPGzmhI/ERERcQxK/KymERQRERFxEqr4iYiIiGNQxc9qGkERERERJ6GKn4iIiDgGVfyspsRPREREHIMSP6tpBEVERESchCp%2BIiIi4hhU8bOaRlBERETESajiJyIiIo5BFT%2BrKfETERERx6DEz2oaQREREREnoYqfiIiIOAZV/KymERQRERFxEqr4iYiIiGNQxc9qTjuCK1asIDw8/Jbs%2B4knnmD27Nm3ZN8iIiJOy2gs%2BYeTKVVHnJuby6xZs4iIiKBp06aEhITQp08fdu7cWeKxunXrxoYNG0p8vyIiIiKlValK/KZOncqGDRuYNWsWu3btYvPmzbRp04Znn32WxMREe3dPRERE7EkVP6uVqiPeunUrXbp0ISgoCBcXFzw9PXnuueeYPHkyrq6uhIeHs3TpUvP6mzZtIigoyPx7UFAQixYtIiwsjDlz5tCoUSN%2B%2BeUXixiPPPII8%2BbNY/ny5bRt25b8/HzCwsL4%2BuuvLdZ77rnnGD9%2BPADx8fH07duXFi1a0KpVKyZPnkxubq553blz5xIWFkZoaChz5869FUMjIiIiYrVSNbmjVq1afP3114SFhVG/fn1z%2ByOPPFLsfcTExLBixQoqVapEbGwsMTEx3HPPPQAkJibyxx9/MHfuXHbs2AGA0WjkwQcfJCYmhu7duwNw/vx5tm7dyvz588nKymLAgAH06dOH%2BfPnk5SUxNChQ/nPf/7DkCFD2LJlC/PmzWPBggU0atSI%2BfPnc%2BDAAe69994bOvbk5GRSUlIs2ipX9sPf3/%2BG9uPwQkJsG69ePctnG6tY0fYxvbwsn23N1n9gF8az2x/2ZezwNuviYvlsa66uto1Xtqzls635%2BNg%2Bpj1fyOnpto9ZyAkrdCWtVCV%2Br7/%2BOi%2B88ALdunWjevXqNG/enPvuu48HH3wQ12K%2BkTz00ENUrlzZ/PPs2bN59dVXAVi3bh2NGzcmICDAnPgVrjdw4ECys7Nxd3dn8%2BbNVKhQgZYtW7J27VpMJhODBw8GICAggP79%2B/Pvf/%2BbIUOGsG7dOtq1a0fz5s0BGDx4MEuWLLmUtSB3AAAgAElEQVThY4%2BOjmbOnDkWbcOGDWfEiKgb3ldJMBjsEhZ277ZP3M8%2Bs0vYB%2B0StUDr1nYMbgceHnYKXL6SnQJjn4QEoJKdjrlqVfvEDQiwT1yAfwobNvXVV7aPWUiJn9VKVeJ3xx138Pnnn3Po0CG2bdvGjh07GDduHP/3f//HJ598Uux9FOrQoQPjxo0jPj6eevXqsW7dOrp06XLFNs2bN8fT05MtW7bQsWNH1q1bR6dOnTAajSQmJnL69GmCg4PN65tMJnMimpSURK1atczLypYty5133nnDx96zZ88rZhlXruyHyXTDu7KawYBd4gIYmjezbcB69QqSvt69IT7etrGB76faPtH18ipI%2BrZvh3PnbB6etm1tG89oLEj6srIgP9%2B2sQHKZ5%2B2fVAXl4KkLz0d8vJsH//8edvGK1u2IOk7dQouuQzHZg4csH1ML6%2BCpO%2BXX%2BzzQhaHVaoSv0J16tShTp06PP3006SkpNCjRw8WL158xXr5RbyLu1xyasPLy4uwsDBiYmKoVKkS%2B/fvZ%2BbMmVdsYzQaiYiIYP369dx3331s3LiRefPmAeDm5kbdunX55ptviuxrTk4OFy9evG6/rsff3/%2BK07r2Sr7sas8e%2B8SNj7dL7LQ0m4c0O3fOPvHtkXwVxrVL7MveH2wqL88%2B8XNybB8TCpI%2Be8S256nPc%2BfsG9/WVPGzWqkZwVOnTvHGG2%2BQkZFh0e7n50e9evXIysrC1dWV7Oxs87KjR49ed7%2BdOnXihx9%2BICYmhqZNm1KlSpWrrrdx40a2bduGl5cXIf9ca1ajRg0SExPJzMw0r5uWlmbup7%2B/P6dOnTIvy8nJ0QxkERERKZVKTeLn6%2BvLtm3bePHFFzly5Aj5%2BflkZWWxevVqtm/fTnh4ODVr1mTjxo1kZ2fz119/XbUKd6kOHTpw6NAhVq1aRefOna%2B6XvPmzXFxcWHevHl06tQJwz8XuYWFheHr68s777xDRkYGKSkpPP/880ybNg2Adu3asWXLFvbv3092djZz5sy5qYqfiIiIXIdu52K1UnPErq6ufPzxx1SqVIn%2B/fsTEhJCmzZt%2BOyzz5g%2BfTr33nsvI0eOJDU1ldDQUF566SX69%2B9/3f16eXnRunVr9u3bR6dOna66XuHp3p07d1pcB1i2bFnef/99jhw5Qtu2benWrRs1a9bkpZdeAgomhjz99NMMGTKE%2B%2B67D1dXV5o2bWr9gIiIiIglJX5WM5hMTnklmUOw2wQLe07uMNp4OnFISMFM4mbN7HKNX/Tnth/oihXhwQfh%2B%2B/tc43fNQrvt4TRCOXLQ2amfa7x8zqfZPugZcoUzKw9fdo%2B1/hddsnOLefqWjCzNjHRPtf47d1r%2B5g%2BPtChA6xfb59r/B57zPYxAV58seT3%2Be67Jb/PUqxUTu4QERERuYITVuhKmkZQRERExEmo4iciIiKOQRU/qynxExEREcegxM9qGkERERGRm3T8%2BHEGDRpEaGgo7du359133y3ytm6zZ8%2Bmfv36BAcHWzz%2B/vtvAC5cuMD48eNp164doaGhjBgxgrRbMANPiZ%2BIiIg4hlJ4O5eoqCiqVKlCTEwMCxcuJCYmpshvGwOIjIwkNjbW4lG5cmUAZsyYQVxcHNHR0axduxaTycQrr7xidf8up8RPRERE5CbExsYSHx/PmDFj8PLyombNmvTr14/o6Ogb2s/Fixf58ssvGTp0KNWqVcPHx4eRI0eyceNGkpJK9pZQusZPREREHMMtuMYvOTmZlJQUizY/Pz/8/f2vu21cXBzVq1fH29vb3NawYUMSEhLIyMjA09PTYv0//viDJ598kgMHDlCtWjVeeeUVwsLCOHr0KOfOnaNhw4bmdWvXro27uztxcXFX/brZm6HET0RERBzDLUj8oqOjmTNnjkXb8OHDiYqKuu626enpVKhQwaKtMAlMS0uzSPyqVq1KQEAAo0ePxt/fn%2BjoaIYMGcKqVatI/%2Bcm3Jfvq0KFCiV%2BnZ8SPxEREXFaPXv2JDw83KLNz8%2Bv2NsX9wvQevToQY8ePcy/9%2BvXjzVr1rBq1SratWt3Q/uyhhI/ERERcQy3oOLn7%2B9frNO6RfH19TVX6wqlp6djMBjw9fW97vbVq1cnOTnZvG56ejrly5c3Lz9z5gyVKlW6qb5djSZ3iIiIiGMoZbN6GzVqxMmTJ0lNTTW3xcbGUqdOHYsEDuD9999n%2B/btFm2HDx8mICCAgIAAvL29iYuLMy87cOAAOTk5NGrUyKo%2BXk6Jn4iIiMhNaNCgAcHBwUyfPp2MjAwOHz7MwoUL6dWrFwCdOnVi586dQEE1b%2BLEiRw5coQLFy6wYMECjh49Svfu3XFxceGJJ57gww8/5OTJk6SlpfHee%2B/xwAMPmG/3UlJ0qldEREQcQyn85o5Zs2bx%2Buuv07ZtWzw9PXnyySfp3bs3AAkJCZw/fx6A0aNHAwXX9qWnp1OnTh0WLVpE1apVARgxYgSZmZlERkZy8eJF2rdvzxtvvFHi/VXiJyIiInKTqlatyvz584tc9scff5h/dnNz49VXX%2BXVV18tcl1XV1cmTJjAhAkTbkk/CynxExEREcdQCit%2BjkaJn4iIiDgGJX5W0wiKiIiIOAlV/ERERMQxqOJnNY2giIiIiJNQxU9EREQcgyp%2BVlPiJyIiIo5BiZ/VlPiVYtnZto9pMIC7O1y4ADb4rugrrPrctkErVoQHge%2Bn7iYtzaahAej5pMH2QUNC4MHdPPhyM9izx%2BbhP15i239jX1/o0gU2boRLvlXJZrp3r2LzmEYjlAPOe1QiP9/m4XHztf0xlwVyqwbYPC7A4y/UtnnMu%2B%2BGGR1g1OoOHDli8/CsfMz2MaVkKPETERERx6CKn9U0giIiIiJOQhU/ERERcQyq%2BFlNiZ%2BIiIg4BiV%2BVtMIioiIiDgJVfxERETEMajiZzWNoIiIiIiTUMVPREREHIMqflZT4iciIiKOQYmf1TSCIiIiIk5CFT8RERFxDKr4WU0jKCIiIuIkVPETERERx6CKn9WU%2BImIiIhjUOJnNY2giIiIiJNQxU9EREQcgyp%2BVtMIioiIiDgJVfxERETEMajiZzUlfiIiIuIYlPhZTSMoIiIi4iRU8RMRERHHoIqf1TSCIiIiIk5CFT8RERFxDKr4WU2Jn4iIiDgGJX5W0wiKiIiIOAmnTvzCw8NZunSpvbshIiIixWE0lvzDyTj8qd7w8HCSkpIw/vOP5%2BrqSlBQECNHjuSee%2B6xc%2B9ERERESo/bItUdN24csbGxxMbGsmXLFjp27MigQYNITEy0d9dERESkpKjiZ7Xb7og9PDx49tln8ff3Z9OmTWRlZfH6668TGhpKq1ateP3118nJybliuwsXLjBu3DjCwsJo1qwZvXv35sCBA%2Bbly5cvJyIigqZNm9K%2BfXsWLFhgXjZv3jzat29PkyZNiIiIYOXKlTY5VhEREaeixM9qDn%2Bq92ry8vJwcXHhvffe49ChQ/z3v/8FYMCAAcydO5dRo0ZZrD9//nz27dvH6tWrKVeuHJMmTeLll19m%2BfLlnDp1ikmTJhEdHU1QUBC//vor/fv3p1WrVmRnZ7NkyRKWLVtGtWrV2Lp1K1FRUYSFhVGpUqVi9zc5OZmUlBSLtgoV/PDz87d%2BMG6AwWD5bGsVK9o2npeX5bPNhYTYPma9epbPNubra9t4FSpYPtuaPT5XLn0dO%2BHnms3dfbftY955p%2BWzLR05YvuYUnJuu8QvMzOTzz//nNTUVO677z6mT5/OW2%2B9he8/nzZvvfUWZ8%2BevWK7wYMH069fPzw9PQHo1KkTy5cv5%2BLFi2RkZJCfn0%2B5cuUAaNSoEdu3b8doNPLjjz9iNBpxd3fHYDAQFhbGrl27zNccFld0dDRz5syxaBs2bDgjRkTdzDBYzc3NLmF58EH7xG3d2j5xeXC3nQIDn31ml7Bd7BIV7r3XToHtyMPD3j2wrbJl7RN3xgz7xAUYPdr2MSMjbR/TTH/JWO22SPwmT57MW2%2B9BYC7uzv169dn0aJFuLm5cfbsWe685E%2BielepcqSmpjJ58mR%2B%2BeUXMjMzgYKqYV5eHrVr1yYyMpKHHnqIe%2B65h7CwMLp3707FihVp3bo1DRo0IDw8nNatW9OuXTsiIyPNSWJx9ezZk/DwcIu2ChX8yM6%2Bod1YzWAoSPouXACTybaxATZtsm08L6%2BCpG/7djh3zraxAR58uZntg9arV5D09e4N8fE2D7/mTdsmuxUqFCR9mzdDEX/z3XLt29s%2BpsFQkPRlZdnndWyPBKxsWcjNtX1cgLFjbR/zzjsLkr7p0%2BHYMdvHtxslfla7LRK/cePG0atXryva09PTAcjPz7/uPkaNGoWbmxsrV66katWqbN%2B%2BnX79%2BgFgMBh48803GTBgADExMXz33XfMnz%2BfZcuWERAQwIcffkh8fDzr16/n008/ZcGCBSxfvhyvGzh/6O/vj7%2B/5Wlde71pQ0Fce8ROS7N9TChI%2BuwSe88eOwT9R3y8XeKnpto8JFCQ9NkjdjHefkpc4WejyWSf%2BM7Gnqc%2Bjx3TqVe5Mbd16uzj40OFChVISEgwt8XFxRU5%2BWL//v088cQTVK1a1bxeofz8fM6ePctdd91F//79WbZsGXXq1GHdunXk5uaSkZFBvXr1GDZsGCtWrMBgMLBt27Zbf4AiIiLORJM7rHbbH/Gjjz7KRx99RFJSEmlpabz55pscPHjwivWqV6/O/v37yc3NZdOmTWzduhWApKQkvv32W3r06MGRf/6sOn78OElJSdSoUYMFCxYwcOBATp06BcDhw4c5c%2BYMNWrUsN1BioiIiF0cP36cQYMGERoaSvv27Xn33XeveqZx6dKlREREEBISQmRkJDExMeZlL7/8Mg0aNCA4ONj8aNGiRYn397Y41Xsto0ePZvLkyXTu3BlXV1c6duzI8OHDr1hv/PjxjB8/ns8//5x7772X9957j8GDB/Poo4/y3XffcfDgQfr27cvZs2epXLkyPXr0oGPHjrRr144TJ07QrVs3srOzqVatGmPGjKF%2B/fp2OFoREZHbWCms0EVFRdGwYUNiYmI4ffo0gwcPpnLlyjzzzDMW661du5bp06fz73//m8aNG7NixQpGjhzJf//7XwICAgB47rnniIq6tZM6HT7x27BhwzWXu7q6MmnSJCZNmnTNbdu2bcv69estli9btsz886hRo664BUzh/idOnMjEiRNvtOsiIiJyI0pZ4hcbG0t8fDwLFy7Ey8sLLy8v%2BvXrx%2BLFi69I/LKzs3nhhRdo3rw5AD169GDatGns3bvXnPjZgsMnfiIiIiI3q6j76Pr5%2BV0x4bIocXFxVK9eHW9vb3Nbw4YNSUhIICMjw3yLOIDIy%2B6Dc/bsWTIzM6lSpYq57aeffmL9%2BvX89ddf1K5dmzfeeINGjRrd7KEVSYmfiIiIOIZbUPEr6j66w4cPL9Yp1/T0dCpcdnf4wiQwLS3NIvG7lMlkYty4cTRp0oR77rkHgICAAIxGI88//zzly5dnzpw5PPvss6xdu5aKJfjtBkr8RERExGkVdR9dPz%2B/Ym9vusF7n%2BXm5vLyyy9z6NAhlixZYm4fNmyYxXovvvgiq1evJiYmhh49etxQjGtR4iciIiKO4RZU/Iq6j25x%2Bfr6mu8ZXCg9PR2DwWD%2BxrBLZWdnM3ToULKysvj000%2BvWclzcXGhWrVqJCcn31TfrqZ0XSUpIiIicjWl7D5%2BjRo14uTJk6Recnf42NhY6tSpQ/ny5S3WNZlMjBo1ijJlyrBo0SKLpM9kMvH2228Tf8m3KeXk5HD06NESn/ihxE9ERETkJhTed2/69OlkZGRw%2BPBhFi5caP42sU6dOrFz504AvvnmGw4dOsT//d//4ebmZrEfg8HAsWPHmDhxIklJSWRmZjJt2jTKli1Lx44dS7TPOtUrIiIijqGU3c4FYNasWbz%2B%2Buu0bdsWT09PnnzySXr37g1AQkIC58%2BfB%2BCrr77i%2BPHj5skchSIjI5k8eTJTpkzhnXfe4dFHHyUjI4PGjRuzePFiypUrV6L9VeInIiIicpOqVq3K/Pnzi1z2xx9/mH9evHjxNffj4%2BPD22%2B/XaJ9K4oSPxEREXEMpbDi52iU%2BImIiIhjUOJnNY2giIiIiJNQxU9EREQcgyp%2BVtMIioiIiDgJVfxERETEMajiZzUlfiIiIuIYlPhZTSMoIiIi4iRU8RMRERHHoIqf1TSCIiIiIk5CFT8RERFxDKr4WU2Jn4iIiDgGJX5W0wiKiIiIOAlV/ERERMQxqOJnNY2giIiIiJMwmEwmk707IVeRmWn7mEYjeHhAVhbk59s8/Ln88jaNZzRC%2BfIFQ22Hw2XFCtvH9PWFLl1gzRpITbV9/D5PG2wbMCQEdu%2BGZs1gzx7bxgb27bX9W6yHBwQGwoEDBS9lW7P1/ytPT2jZEnbsgIwM28YGaF/jsO2DurpCQAAkJkJOju3j165t%2B5gABw%2BW/D7r1i35fZZiOtUrIiIijkGneq2mERQRERFxEqr4iYiIiGNQxc9qGkERERERJ6GKn4iIiDgGVfyspsRPREREHIMSP6tpBEVERESchCp%2BIiIi4hhU8bOaRlBERETESajiJyIiIo5BFT%2BrKfETERERx6DEz2oaQREREREnoYqfiIiIOAZV/KymxE9EREQcgxI/q2kERURERJyEKn4iIiLiGFTxs5pGUERERMRJqOInIiIijkEVP6sp8RMRERHHoMTPahpBERERESehip%2BIiIg4BlX8rKYRFBEREXESqviJiIiIY1DFz2pK/ERERMQxKPGzmkZQRERExEmo4iciIiKOQRU/q2kE/7FlyxaCgoKYOHGivbsiIiIiDuL48eMMGjSI0NBQ2rdvz7vvvkt%2Bfn6R6y5ZsoSIiAiaNWtGr169%2BPXXX83LLly4wPjx42nXrh2hoaGMGDGCtLS0Eu%2BvEr9/fPHFF3Tp0oU1a9Zw4cIFe3dHRERELmc0lvzDSlFRUVSpUoWYmBgWLlxITEwMixcvvmK9DRs2MHv2bP71r3%2Bxbds22rdvz5AhQzh//jwAM2bMIC4ujujoaNauXYvJZOKVV16xun%2BXU%2BIHpKWlsWHDBkaMGEHFihVZt26deVlqaip9%2B/alcePGREZG8uOPPxIUFMSxY8eAgkx/yJAhhIaG0rJlS8aOHUtGRoa9DkVEROT2VcoSv9jYWOLj4xkzZgxeXl7UrFmTfv36ER0dfcW60dHRPProozRp0gR3d3cGDBgAwA8//MDFixf58ssvGTp0KNWqVcPHx4eRI0eyceNGkpKSrOrj5XSNH7By5Urq169PzZo16dq1K19%2B%2BSUPP/wwAK%2B99hq5ubls2rSJtLQ0Ro8ebd7OZDIxdOhQmjVrxowZMzh//jwvvPAC77zzDm%2B%2B%2BeYN9SE5OZmUlBSLNj9PT/z9/a0/wBthMPzv2Q7XUtg6YuEh2uuyEV9f28esUMHy2eZCQmwbr149y2cb8/CwfUw3N8tnW/P0tG28cuUsn23O1dX2McuWtXy2pZwc28e8hYr8/PXzK9bnb1xcHNWrV8fb29vc1rBhQxISEsjIyMDzkhdDXFwcnTt3Nv9uNBqpX78%2BsbGx1K9fn3PnztGwYUPz8tq1a%2BPu7k5cXBxVqlSx5hAtKPEDvvzyS3r16gVAZGQkc%2BfO5dixY9xxxx1s3ryZmTNn4uPjg4%2BPDz179mT8%2BPFAQaZ/8OBBli5dioeHBx4eHkRFRdG/f38mTZqEoTCJKobo6GjmzJlj0TZ82DCiRowouQO9Ee7udglb3i5R7fPhDNCli33iAtx7r50Cd9ltn7iffWaXsIF2iVrgrrvsGNwOLvnMtLEAewWGqlVtH/PwYdvH/IeJ4n%2BuFleRn7/DhxMVFXXdbdPT06lw2V/RhUlgWlqaReKXnp5ukSAWrpuWlkZ6ejrAFfuqUKFCiV/n5/SJ3969e/nzzz956KGHAAgICKBp06YsX76cp556itzcXKpXr25ePzg42PxzYmIieXl5hIaGWuwzLy%2BPtLQ0fG%2BgnNOzZ0/Cw8Mt2vw8PSEr62YO6%2BYZDAVJX3Y2mEy2jQ1k5ts2AzMaC5K%2BrCy4yrW4t9TGjbaPWaFCQdK3eTOcPWv7%2BF1eb2bbgPXqFSR9vXtDfLxtYwMHPrd9ouvmVpD0/fUX2OOS5TNnbBuvXLmCpC8uDv65XMqmWlZNtH3QsmULkr5TpyA31/bxbyNFfv76%2BRV7e9MNfFZeb90b2dfNcvrE74svvuDixYt06NDB3Jabm0tSUhL/7//9PwDKlPnfMBkvOSfo5uZGuXLl2LNnj9X98Pf3v7KsnJlp%2B2yk8PhMJrtkQvZIvgrj2iN2aqrtYxY6e9ZO8Uvg9XJT4uPtEtvWf7td6sIF%2B8S312XO58/bKbY9T33m5t52p16v5Va8Txf5%2BVtMvr6%2B5mpdofT0dAwGwxXFn4oVKxa5bt26dc3rpqenU778/859nTlzhkqVKt1U367GqSd3ZGZm8u233zJx4kRWrFhhfnz55ZckJyfz22%2B/4eLiwokTJ8zbxMbGmn%2BuUaMG58%2BfJzHxf3/tZWRk3JLp1yIiIs6u8I/0knxYo1GjRpw8eZLUS/6Kjo2NpU6dOhYJXOG6cXFx5t/z8vL47bffaNKkCQEBAXh7e1ssP3DgADk5OTRq1Mi6Tl7GqRO/b7/9Fjc3N7p3785dd91lftSrV4/w8HCWL19OixYtWLhwIefOnSMhIYEvvvjCvH1gYCAhISFMmTKF1NRUzp49y4QJExg7dqwdj0pERERsoUGDBgQHBzN9%2BnQyMjI4fPgwCxcuNM8b6NSpEzt37gSgV69erFixgr1795KVlcUHH3yAq6sr999/Py4uLjzxxBN8%2BOGHnDx5krS0NN577z0eeOABKleuXKJ9durE76uvvqJr1664FjEj67HHHiMmJoaxY8dy9uxZ2rZtyyuvvMLgwYOB/53ynT59OiaTiQ4dOvDAAw%2BQl5fH1KlTbXocIiIizqC0VfwAZs2aRXJyMm3btuXpp5%2BmW7du9O7dG4CEhATzffratWvHCy%2B8wMiRI7nnnnvYtm0b8%2BbNw/2fyZQjRoygSZMmREZG0qFDB8qXL8%2BUKVOs7%2BBlDCZbXEno4HJycszJ4U8//cQzzzzDvn37ikwYS1Rm5q3df1HsPNvhXL5t5/UajVC%2BvH0upwRYscL2MX19C2YTr1ljn2v8%2Bjxd8rPyrikkBHbvhmbN7HKN3769tn%2BL9fCAwEA4cMA%2B1/jZ%2Bv%2BVpye0bAk7dtjnGr/2Newwy9XVFQICIDHRPtf41a5t%2B5jcmslK9rrtkb04/eSO63n11Vc5fvw4s2fPxmAwsHDhQtq0aXPrkz4RERGxYK8JgLcTpz7VWxwvvvgi3t7edOzYkY4dO%2BLi4nJLSq8iIiJybaXxVK%2BjUcXvOipWrMisWbPs3Q0RERERqynxExEREYfgjBW6kqZTvSIiIiJOQhU/ERERcQiq%2BFlPiZ%2BIiIg4BCV%2B1tOpXhEREREnoYqfiIiIOARV/Kynip%2BIiIiIk1DFT0RERByCKn7WU%2BInIiIiDkGJn/V0qldERETESajiJyIiIg5BFT/rqeInIiIi4iRU8RMRERGHoIqf9ZT4iYiIiENQ4mc9neoVERERcRKq%2BImIiIhDUMXPeqr4iYiIiDgJVfxERETEIajiZz0lfiIiIuIQlPhZz2AymUz27oQU7cwZ28c0GsHLC86ds88LzDs7ybYBy5SBSpXg9Gm4eNG2sYGM8lVsHtNohHLl4Px5%2B/wbHz5s23geHhAYCAcOQFaWbWMDNGlqsH3QkBDYvRuaNYM9e2wff9o028bz94c%2BfeDjjyE52bax7cXexzx6tO1jcmveP2rXLvl9lmaq%2BImIiIhDUMXPekr8RERExCEo8bOeZvWKiIiIOAlV/ERERMQhqOJnPVX8RERERJyEKn4iIiLiEFTxs54SPxEREXEISvysp1O9IiIiIk5CFT8RERFxCKr4WU8VPxEREREnoYqfiIiIOARV/KynxE9EREQcghI/6%2BlUr4iIiIiTUMVPREREHIIqftZTxU9ERETESajiJyIiIg5BFT/rKfETERERh6DEz3o61SsiIiLiJFTxExEREYegip/1VPETERERuUXS09MZOXIkbdq0ISwsjNdee43s7Oyrrv/999/zyCOPEBISQkREBMuWLTMvmz17NvXr1yc4ONji8ffffxe7P6r4iYiIiENwxIrf66%2B/Tk5ODqtXryY3N5fnn3%2BeadOmMW7cuCvW3b9/P2PGjOG9997j/vvvZ%2BvWrQwbNoy7776bFi1aABAZGcnUqVNvuj9K/ERERMQh3IrELzk5mZSUFIs2Pz8//P39rd7333//TUxMDF9//TW%2Bvr4ADB06lOeff56XXnqJsmXLWqyfnp7O4MGD6dixIwD33XcfgYGB7Ny505z4WUuJn4iIiDit6Oho5syZY9E2fPhwoqKirN7377//jouLC0FBQea2hg0bcv78eY4cOWLRDtCuXTvatWtn/v3ixYukpKRQpUoVc9sff/zBk08%2ByYEDB6hWrRqvvPIKYWFhxe6TEj8RERFxCLei4tezZ0/Cw8Mt2vz8/Epk3%2Bnp6Xh6emIwGMxt3t7eAKSlpV13%2B2nTplGuXDk6d%2B4MQNWqVQkICGD06NH4%2B/sTHR3NkCFDWLVqFXfffXex%2BqTET0RERJyWv7%2B/Vad1V65cydixY4tcNmrUKEwm0w3v02QyMW3aNFavXs2SJUtwc3MDoEePHvTo0cO8Xr9%2B/VizZg2rVq1i5MiRxdq3UyZ%2BERERDBgwgB49etCnTx%2BaNGnCmDFj7N0tERERuYbSOLkjMjKSyMjIIpdt3bqVjIwM8vLycHFxAQqqgACVKlUqcpv8/HxeeeUV9u/fz9KlSwkICLhm/OrVq5OcnFzs/t6WiV9ubi4ffPABa9asISkpCYPBQKNGjXj%2B%2Bedp0aIFa9euvaH9LVq0iK%2B%2B%2Bopjx46Rn59P3a8s3SgAACAASURBVLp1GTJkiPniSxEREbn1SmPidy3169fHZDIRHx9Pw4YNAYiNjaVChQrUqlWryG3eeustDh48yNKlS/Hx8bFY9v777xMSEkLr1q3NbYcPHzafCi6O2/I%2BflOnTmXDhg3MmjWLXbt2sXnzZtq0acOzzz5LYmLiDe1rwYIFLFq0iDfffJNffvmFX375hSeffJKRI0eya9euW3QEIiIi4uh8fX2JiIhg5syZpKamcurUKebOncvjjz9OmTIFtbe%2Bffvy7bffArBr1y5WrVrFvHnzrkj6oKBaOHHiRI4cOcKFCxdYsGABR48epXv37sXu021Z8du6dSuPPfaYebaMp6cnzz33HNWrV8fV1ZXw8HAGDhxIr169AMjOzmb06NFs2LCBypUrM3r0aDp16mTe1/3330/Tpk3N%2B3/88cfx9vamcuXKAPTp04eQkBCOHj3Kxo0b8fb2Zty4cTzwwAM2PnIREZHbl6NV/AAmTZrEhAkT6NChA2XLluXhhx9m1KhR5uWJiYmcOXMGgK%2B%2B%2Bopz587Rvn17i320bNmSBQsWMHr0aKDg2r709HTq1KnDokWLqFq1arH7c1smfrVq1eLrr78mLCyM%2BvXrm9sfeeSRItdfuXIlU6dO5e2332bp0qWMGTOGkJAQqlSpQq1atfjuu%2B/o3Pn/t3f/8TXX///Hb9vYZubX2JYfI0WosJXx9qNo8iPD3lQW7wj9oPkRyrxLCvmV5leEhETJ/AptyteoWFNZyMgqUs2vjWzYr/brfP9YzseJivc5O6/OOffr5bLL2Xm9Xuc8Hi9mHufxfL6er260bNnS/Jo/FnVr1qxh5syZzJw5k7Vr1zJ69Gh27dplXrfn71xrHaEKFfzx97d%2BHaEb4e5u%2BWh35ez8I/n7nAvzo50Z8ed8%2BeIyNzdj4leoYN94v8%2BJNj/aXUiI/WM2bmz5aG82WP/shlz%2BPXudv2%2BdgpHnfAPzyQQqVarE7Nmz/3T/zp07zd9PmzaNadOm/emxXl5evPDCC7zwwgv/cz5OWfhNmDCBMWPG8O9//5vatWtz99130759ezp37oynp%2BdVxzdr1oyOHTsC8Oijj7Jw4UKSkpLo1asXI0aM4MSJE/Tv3x9/f3/uuusu7rnnHh544AF8fX3N7xEcHEyHDh0A6NevH/PnzycxMfFPi80/utY6QsOGDWfkSOvXEfpfVKxoSFjg2pNdy9w1Wur24GNI1FL2LsAuu%2B02Y%2BLWq2dMXPbtMygwsHq1cbGNEB5udAb2Z8Q5z5pl/5i/c8SO3z%2BNUxZ%2BtWrVYs2aNRw9epSkpCT27t3Liy%2B%2ByLx583j33XevOr5Bgwbm7z08PKhduzbp6elA6Xo7ixcvJi0tzfxeM2fOZPbs2bz99ts0/v0T9ZWTNN3d3alZs%2BYNXWVzrXWEKlTw59KlGzp1q7m7lxZ9OTnG/AOrVPCrfQN6eJQWfVlZUFxs39hAbgX7F7pubqVFX14e/A%2BrDFjtxAn7xvPyKi36fv4ZfvvNvrEBbnvkLvsHbdy4tOjr1w9SU%2B0f/4phLLvw8ystgOLj4fx5%2B8Y2iiueMyr8bMEpC7/LGjRoQIMGDRgwYABnz57l4Ycf5p133rnqOPdrjHd5/WFcKCgoiMjISCIjI8nOzmbAgAEsWrSIefPmAVD8h6LBZDJZLNj4d661jtCFC8b9kJeUGBS7qMiAoJQWfQbENuLP%2BPKPu8lkTPy8PPvHhNKiz5DY%2B/cbEPR3qanGxDdqKPD8edcbhnTFcxarON1VvWfOnGHixIlkZ2dbbPf396dx48bkXeM3//Hjx83fFxcXc/LkSQIDA8nOzmbKlClXXQns6%2BtLSEiIxXtdeUxJSQlnzpy5ocmWIiIi8tcuNyVs%2BeVqnK7w8/PzIykpibFjx/Ljjz9SUlJCXl4ecXFx7Nmz56rhVIB9%2B/bx%2BeefU1hYyJo1a8jPz6ddu3b4%2BvqSmprK2LFjOXLkCEVFRRQUFLB7927i4uLM8wIB9u/fT1JSEgUFBbz77rvk5OTQtm1be566iIiIyF9yuqFeT09PVq1axfz583n88cc5f/487u7uNGnShFmzZnHPPfdc9Zo%2Bffqwdu1ahg8fTkBAAHPmzKFy5coALF68mPnz5zNy5EjzVbe33HILzz33nMVtU3r27ElsbCxRUVFUrlyZefPmXXMNHhEREfnfuGKHztacrvADCAwMZMqUKX%2B6/8pLp1etWvWX7%2BXr68vzzz/P888//5fHeXt7m%2Bf7iYiIiO2p8LOe0w31ioiIiMi1OWXHT0RERJyPOn7WU%2BFnA383XCwiIiLyT6DCT0RERByCOn7WU%2BEnIiIiDkGFn/V0cYeIiIiIi1DHT0RERByCOn7WU%2BEnIiIiDkGFn/U01CsiIiLiItTxExEREYegjp/11PETERERcRHq%2BImIiIhDUMfPeir8RERExCGo8LOehnpFREREXIQ6fiIiIuIQ1PGznjp%2BIiIiIi5CHT8RERFxCOr4WU%2BFn4iIiDgEFX7W01CviIiIiItQx09EREQcgjp%2B1lPHT0RERMRFqOMnIiIiDkEdP%2Bup8BMRERGHoMLPeir8/sGqVDYZFNmNSr4GxT6Xbd94np5QvTrk5kJBgX1jA15%2BgXaPeVn58sbEPX/evvF8fUsfL1yAbDv/eAEQE2P/mAEBpY%2BjR0NGhv3jP/ecfeOFhED//jBnDuzfb9/YAAsX2j%2Bmt/f/Pfr42D%2B%2BOCwVfiIiIuIQ1PGzni7uEBEREXER6viJiIiIQ1DHz3oq/ERERMQhqPCznoZ6RURERFyEOn4iIiLiENTxs546fiIiIiIuQh0/ERERcQjq%2BFlPhZ%2BIiIg4BBV%2B1tNQr4iIiIiLUOEnIiIiDqGkxPZfZS0rK4tRo0bRpk0b2rVrx/jx48nPz7/msRs3bqRx48Y0bdrU4uvgwYO/n38Jc%2BbMoWPHjoSGhvL444%2BTlpZ2Q/mo8BMREREpIxMmTCAvL4%2B4uDg2bNjAsWPHiPmLe3iHhoaSkpJi8dWsWTMA3nvvPT788EOWLFnCJ598ws0338ywYcMwmUzXnY8KPxEREXEIjtbxO3fuHAkJCYwePRo/Pz8CAwOJiopiw4YNFBYW3vD7xcbGMnDgQG699VZ8fX0ZPXo0x44d45tvvrnu99DFHSIiIuIQyqJQy8jI4OzZsxbb/P39CQgIsPq9jxw5goeHB40aNTJvu%2BOOO8jNzeXHH3%2B02H7Z6dOnGTRoEIcOHaJy5cqMHDmSiIgI8vPzOXr0KLfffrv5WF9fX%2BrVq0dKSgrBwcHXlZMKPxEREXFZsbGxLFiwwGLb8OHDGTFihNXvnZWVha%2BvL25ubuZtVapUASAzM/Oq4/38/Lj55psZM2YMDRo0YPv27URHRxMQEMAtt9yCyWQyv/7K97vWe/0ZFX4iIiLiEMqi4xcZGUlYWJjFNn9//%2Bt%2B/ebNm4mOjr7mvtGjR9/Q/LsOHTrQoUMH8/Pw8HC2b9/Oxo0bee655wBu6P2uRYWfiIiIuKyAgACrhnUjIiKIiIi45r7PP/%2Bc7OxsiouL8fDwAEq7gADVq1e/rvevXbs2hw4domrVqri7u5tff1lWVtZ1vxfo4g4RERFxEI52cUeTJk0wmUykpqaat6WkpFC5cmXq169/1fHvv/8%2BW7dutdh27NgxgoKC8PLyomHDhhw%2BfNi87%2BLFi/zyyy/mq36vhwo/ERERcQiOVvj5%2BfnRpUsX5s6dy/nz5zlz5gxvvPEGDz30EOXKlQ66PvbYY%2BZir6CggFdeeYWUlBQKCwuJi4tj165dPPLIIwD07duXlStXcuzYMbKzs4mJiaFJkyY0bdr0unPSUK%2BIiIhIGZk8eTIvv/wyHTt2pHz58nTv3p3Ro0eb96elpXHhwgUABgwYQE5ODs888wxnz56lTp06vPHGG9x5550APPLII5w9e5b%2B/fuTk5NDq1atrrow5e%2Bo8BMRERGH4Ij36q1UqRKzZ8/%2B0/07d%2B40f%2B/m5kZUVBRRUVHXPNbNzY2RI0cycuTI/zkfDfWKiIiIuAh1/ERERMQhOGLH759GhZ%2BIiIg4BBV%2B1tNQr4iIiIiLUOFnpS%2B//JJGjRrx22%2B/GZ2KiIiIU3O05Vz%2BiZxyqDcsLIz09HTc3UvrWk9PTxo1asSoUaNo2bKlwdmJiIjI/8IVCzVbc9qO34svvkhKSgopKSkkJiZy//3389RTT5GWlmZ0aiIiIiKGcNrC70oVKlRg8ODBBAQEsGvXLs6fP8/IkSNp3bo1LVq04Mknn%2BT06dPm4xs1asSKFSto164dS5YsASAxMZGePXsSHBxMREQEe/bssYjx9ddfEx4ezp133smTTz7JpUuX7HqOIiIizk5DvdZzyqHeP3P5JsmvvfYaOTk57NixA5PJxKhRo5g2bRrz5883H5uQkMCmTZuoXr066enpjBgxgqlTp9KpUyc%2B/PBDhg0bZrHoYlxcHO%2B//z4XLlygT58%2BrF%2B/nkGDBl13bhkZGZw9e9Zim3%2BNGlbdONoheXraN1758paPUuZ8fe0bz8fH8tHujPg37Odn%2BWhvISH2jde4seWjvdWoYf%2BYVataPtrTuXP2jyk24xKFX05ODmvWrOH8%2BfO0b9%2Be3r17U1RUhM/v/xPcf//9LF682OI1DzzwADV%2B/8f80UcfERQURLdu3QDo3bs3Xl5elFzxUWHw4MFUrlyZypUrExwczPHjx28ox9jY2KtuuzJ82DBGWLE6t1Xc3IyJGxRkTNybbjIkrJHlplG1bmioMXHvuMOYuIT2NygwEB5uTNz%2BBp3z6tXGxDVSp072j7lokf1j/s4VO3S25rSF35QpU5g2bRoA3t7eNGnShBUrVlCzZk1%2B%2BOEHZsyYwcGDB8nPz6ekpISqf/jUVKtWLfP3v/zyC3Xq1LHYH/6HX6hX7vf29qagoOCG8o2MjCQsLMxim3%2BNGmAy3dD72ISbmzFxAU6csG%2B88uVLi74zZ6Cw0L6xgcKbjCl0y5c35HQBOHDAvvF8fEqLvsOHITfXvrEBQlNX2T%2Bon19p0RcfD%2BfP2z/%2BnDn2jde4cWnR168fpKbaNzbA88/bP2bVqqVF3/btkJVl//gGUeFnPact/F588UX69u171faSkhKGDBnC3XffzbZt2/Dz82PdunXMnTvX4jgPDw/z9%2B7u7hbdvWtxs7JDFhAQcPWwrlHFl5FusGC2mcJC42K7mOxsY%2BLm5hoUOyPDgKC/O3/emPj799s/JpQWfUbENnLoMytLQ69yQ1zi4o4rnTt3jpMnT9K/f3/8fp//8u233/7la%2BrUqXPV0O27776rK4RFRETsSBd3WM/lCj8/Pz98fHw4cOAAv/32Gx9%2B%2BCFHjhwhOzubnJyca76me/funD59mrVr11JQUEB8fDyzZ8%2BmYsWKds5eRERE5H/ncoVfuXLlmDhxIkuWLKFNmzbs3buX%2BfPnc9NNN9G5c%2BdrvqZGjRosW7aMFStWEBoaypIlS3jjjTfMHUMREREpe%2Br4Wc8p5/hduczKtURERBAREWGxbdu2bebvv/vuu6teExoaytatW6/a3qpVq6uOn2Pvic0iIiIuwBULNVtzuY6fiIiIiKtyyo6fiIiIOB91/Kynjp%2BIiIiIi1DHT0RERByCOn7WU%2BEnIiIiDkGFn/U01CsiIiLiItTxExEREYegjp/11PETERERcRHq%2BImIiIhDUMfPeir8RERExCGo8LOehnpFREREXIQ6fiIiIuIQ1PGznjp%2BIiIiIi5CHT8RERFxCOr4WU%2BFn4iIiDgEFX7W01CviIiIiItQx09EREQcgjp%2B1lPHT0RERMRFqOMnIiIiDkEdP%2Bup8BMRERGHoMLPehrqFREREXER6viJiIiIQ1DHz3oq/P7BikvcDInr4WFg7AMH7BuwalUICoLvv4esLPvGBh4ac6vdY95yC8yZA9HR8OOPdg/P5tnH7BvQ0xMIIvSmNCgosG9sgH32D2m4hQvtG69GjdLH55%2BHc%2BfsGxsgKsr%2BMUNC4OGHYfp02L/f/vGfftr%2BMcUmVPiJiIiIQ1DHz3oq/ERERMQhqPCzni7uEBEREXER6viJiIiIQ3DEjl9WVhYTJ07kq6%2B%2Bwt3dnfbt2zNhwgS8vb2vOvbFF19k8%2BbNFtuKi4uJiIhg%2BvTp/Pe//2XLli14eHiY93t5eZGcnHzd%2BajjJyIiIlJGJkyYQF5eHnFxcWzYsIFjx44RExNzzWOnTJlCSkqK%2BWv//v3ccsstdO3a1XzM008/bXHMjRR9oMJPREREHERJie2/ytK5c%2BdISEhg9OjR%2BPn5ERgYSFRUFBs2bKCwsPBvX//OO%2B9Qq1Yt2rdvb7OcNNQrIiIiDqEsCrWMjAzOnj1rsc3f35%2BAgACr3/vIkSN4eHjQqFEj87Y77riD3NxcfvzxR4vtf3Tx4kUWL17M6tWrLbZ/8cUX7Nixg59//plbb72ViRMncuedd153Tir8RERExGXFxsayYMECi23Dhw9nxIgRVr93VlYWvr6%2BuLn939q4VapUASAzM/MvX/vuu%2B8SGhpKw4YNzduCgoJwd3fnmWeeoWLFiixYsIDBgwezbds2qlWrdl05qfATERERh1AWHb/IyEjCwsIstvn7%2B1/36zdv3kx0dPQ1940ePRqTyXTDORUXF/Pee%2B8xa9Ysi%2B3Dhg2zeD527Fji4uJISEjg4Ycfvq73VuEnIiIiLisgIMCqYd2IiAgiIiKuue/zzz8nOzub4uJi85W4Wb/fJap69ep/%2Bp579%2B6loKCAFi1a/GVsDw8PatasSUZGxnXnq4s7RERExCE42sUdTZo0wWQykZqaat6WkpJC5cqVqV%2B//p%2B%2BbseOHfzrX/%2BiXLn/68%2BZTCamT59u8V4FBQX88ssvBAUFXXdOKvxERETEITha4efn50eXLl2YO3cu58%2Bf58yZM7zxxhs89NBD5qLuscceY%2BvWrRavO3LkCHXq1LHY5ubmxokTJ5g0aRLp6enk5OQQExND%2BfLluf/%2B%2B687JxV%2BIiIiImVk8uTJVKpUiY4dO9KzZ0%2BaNWvG6NGjzfvT0tK4cOGCxWvOnj1LjRo1rnqvqVOncvPNN9O7d2/atGnDkSNHeOedd/Dx8bnufDTHT0RERByCI965o1KlSsyePftP9%2B/cufOqbdu2bbvmsVWrVmX69OlW5aPCT0RERByCIxZ%2B/zQa6hURERFxEer4iYiIiENQx8966viJiIiIuAh1/ERERMQhqONnPRV%2BIiIi4hBU%2BFlPQ70iIiIiLkIdPxEREXEI6vhZTx0/ERERERehjp%2BIiIg4BHX8rKfCT0RERByCCj/raahXRERExEW4ZMcvLCyM9PR03N0t696bbrqJ7du3G5SViIiI/BV1/KznkoUfwIsvvkjfvn2NTkNERETEbjTU%2Bwcmk4mYmBjat29PSEgIvXr1Yu/eveb9/fv357XXXqNHjx489dRTAJw8eZKhQ4fSqlUrQkNDiY6OJjs726hTEBERcUolJbb/cjUu2/H7M5s3b2bTpk2sX78ef39/Fi1axMiRI0lMTMTDwwOA%2BPh4Xn/9dZo2bYrJZCIqKoq77rqLOXPmkJuby5gxY3j11Vd55ZVXrjtuRkYGZ8%2BetdhWvbo//v4BNj2/f7yqVe0br1Ily0c7u%2BUW%2B8esU8fy0e48Pe0br3x5y0d7CzDg37Cfn%2BWjvXl72zfe5d8b9v79cVlIiP1jNm5s%2BWhP%2B/fbP%2BbvXLFQszU3k8lkMjoJewsLC%2BPJJ5%2B85lBvcXExubm5VPq9EDh%2B/Dhdu3YlISGBoKAg%2BvfvT7Vq1Xj99dcBOHjwII888gjJycn4%2BPgAkJyczOOPP86BAwdwc3O7rpzmz5/PggULLLYNGzackSNHWHOqIiIituXmBgaVDg0b2v49f/jB9u/5T%2BayHb8pU6Ywbdo0i23/%2Bte/mDNnDtOmTWPXrl1cuHDBvK%2BgoMD8fe3atc3fp6WlUVxcTKtWrSzeq7i4mMzMTPyu8xN3ZGQkYWFhFtuqV/enuPi6T8lmPDwwJC6Ax6c77BuwUiVo2RK%2B%2BgouXbJvbGB0XEe7x6xTB559FmbNghMn7B6eOWPS7BuwfHm46SY4cwYKC%2B0bG%2BDTT%2B0f088PwsMhPh7On7d/fCM6fp06wfbtkJVl39gA06fbP2bjxrB6NfTrB6mp9o9vEHX8rOeyhd%2BfXdwxduxYvvvuO9577z3q1atHWloanTp1sjjm8pAvgJeXFz4%2BPuy3svUdEBBAwB%2BGhIwqvgxlxC9tKC36DIj94492D2l24oRB8a/4EGVXhYXGxM7IsH/My86fNyb%2B76MfdpeVBefO2T%2BugUOfpKYaG18cji7u%2BIODBw/Ss2dPbr75Ztzc3Dh8%2BPBfHl%2B3bl1yc3NJS/u/LkZ2djaZmZllnaqIiIhL0cUd1lPh9wd16tQhJSWFgoICDhw4QHx8PFB68cW13HbbbYSEhDB16lTOnz/PxYsXefnll4mOjrZn2iIiIk5PhZ/1VPj9wbPPPsuxY8do2bIlc%2BbMYcKECXTq1ImoqKg/7f7NmjULk8lEx44d6dSpE8XFxcyYMcPOmYuIiIj8NZec47dz584/3Xf77bcTFxdnse3Kq21XrVp11Wtq167Nm2%2B%2BabsERURE5Cqu2KGzNXX8RERERFyES3b8RERExPGo42c9FX4iIiLiEFT4WU9DvSIiIiIuQh0/ERERcQjq%2BFlPHT8RERERF6GOn4iIiDgEdfysp8JPREREHIIKP%2BtpqFdERETERajjJyIiIg5BHT/rqeMnIiIi4iLU8RMRERGHoI6f9VT4iYiIiENQ4Wc9DfWKiIiIuAh1/ERERMQhqONnPXX8RERERFyEOn4iIiLiENTxs54KPxEREXEIKvysp6FeERERERehwk9EREQcQkmJ7b/sISUlhU6dOtGnT5%2B/PXblypV06dKFu%2B66i759%2B3Lo0CHzvt9%2B%2B42XXnqJe%2B%2B9l1atWjFy5EgyMzNvKBcVfiIiIuIQHLHw27JlCyNGjKBevXp/e%2BzOnTuZP38%2BM2fOJCkpifvuu4%2BhQ4eSm5sLwJw5czh8%2BDCxsbFs27YNk8nE888/f0P5qPATERERKSO//fYbsbGxNG/e/G%2BPjY2NpXfv3jRv3hxvb2%2BeeOIJAD755BOKiopYv349UVFR1KxZk6pVqzJq1Cg%2B/fRT0tPTrzsfXdwhIiIiDqEsOnQZGRmcPXvWYpu/vz8BAQE2ef%2BHH374uo89fPgw3bp1Mz93d3enSZMmpKSk0KRJEy5dusQdd9xh3n/rrbfi7e3N4cOHCQwMvK4YKvz%2BwTw87B8zIyOD2NhYIiMjbfZDf0MefNCu4TIyMoidP9%2Bw891s39MFSs95/vxYnn/eoL9jbrVrNIu/46Agu8YG4Nln7R7S6J9rezP8fJ9%2B2u4hzef88ccu8Xd8mclk%2B/ecPz%2BWBQsWWGwbPnw4I0aMsH2wv5GVlUWVKlUstlWpUoXMzEyysrIAqFy5ssX%2BypUr39A8Pw31ioWzZ8%2ByYMGCqz79OCtXO19wvXN2tfMF1ztnVztfcM1zLiuRkZFs3LjR4isyMvK6X79582YaNWp0za%2BNGzfecD6mv6lu/27/31HHT0RERFxWQECAVV3TiIgIIiIibJJLtWrVzJ29y7KysmjYsCF%2Bfn7m5xUrVjTvv3DhAtWrV7/uGOr4iYiIiPwD3HnnnRw%2BfNj8vLi4mG%2B//ZbmzZsTFBRElSpVLPZ///33FBQUcOedd153DBV%2BIiIiIgbp2rUrycnJAPTt25dNmzZx4MAB8vLyWLRoEZ6ennTo0AEPDw/69OnD4sWLOX36NJmZmcyePZtOnTpRo0aN646noV6x4O/vz/Dhw/H39zc6FbtwtfMF1ztnVztfcL1zdrXzBdc8Z0fVpUsXTp06RXFxMSUlJTRt2hSAjz/%2BmNq1a3P8%2BHHzOn333nsvY8aMYdSoUfz66680bdqUJUuW4O3tDcDIkSPJyckhIiKCoqIi7rvvPiZOnHhD%2BbiZrJ0lKCIiIiIOQUO9IiIiIi5ChZ%2BIiIiIi1DhJyIiIuIiVPiJiIiIuAgVfiIiIiIuQoWfiIiIiItQ4SciIiLiIlT4iYiIiLgIFX4iIiIiLkKFn4iIiIiLUOEnIk4rMzPT6BRERP5RyhmdgIg9LFiw4LqPHT58eBlmYpzz58/j5%2BcHQHZ2Nnv27CEoKIjGjRsbnJlt5eTk8Oqrr7JlyxaKioo4dOgQWVlZjBs3junTp5v/DJxRVlYWiYmJZGRk4ObmRmBgIO3ataNy5cpGpyY2lpmZSbVq1YxOQxyQCj8XtXfv3us%2BNjQ0tAwzsY/du3dbPP/%2B%2B%2B/x9PSkdu3amEwm0tLSMJlMBAcHG5Rh2dqyZQsTJ05k37595OXl8eCDDwJw4cIFxo4da37uDCZPnkxGRgZLly5l8ODBAJQvXx5fX1%2BmTJnC7NmzDc6wbCQkJDBq1Ch8fX2pWbMmJpOJ06dPk5eXx%2Buvv06HDh2MTtHmsrOzWb9%2BPcePH6egoOCq/dOnTzcgq7Ljyh9qxHZU%2BLmo/v37Wzx3c3PDZDJZPAfw8PDg0KFDds2tLMTGxpq/X7hwIffccw9Dhw6lXLnSfwIFBQUsWLAALy8vo1IsU4sWLWL%2B/PkAbN68GU9PTzZt2sTRo0cZM2aMUxV%2Bn376KR999BF%2Bfn7mn%2BOKFSvy8ssv06VLF4OzKztTp07l%2Beefp1%2B/fubzNplMrFq1iokTJ/Lpp58am2AZGDNmDIcOHSI4OBhvb2%2Bj0ylzrvqhRmxLhZ%2BLOnjwoPn7nTt38vHHH/Pkk09y8803YzKZ%2BOGHH1i2bBm9e/c2MMuysWrVKj777DNz0Qfg6enJsGHD6NChA8OGDTMwu7Jx5swZ2rZtC8CuXbvo1q0bHh4eNGrUiFOnThmcnW25ubnh6%2Bt71fbi4mJ%2B%2B%2B03AzKyj6ysLCIjI81FH5T%2BWfTt25c5c%2BYYmFnZ2bNnDx9//DG1a9c2OhW7cNUPNWJburjDRXl6epq/Zs%2Be8qhE5wAAGX5JREFUzeTJk7njjjuoWLEivr6%2BhISEMHnyZKZNm2Z0qjbn4eHBt99%2Be9X27777Dnd35/wnUa1aNdLT08nMzGTPnj2EhYUBkJ6e7nSdkpCQEGbOnEl%2Bfr5528mTJxk/fjwtW7Y0MLOy1aFDB5KSkq7anpycTPv27Q3IqOzVq1ePKlWqGJ2G3bjqhxqxLXX8hMzMzGv%2B0igpKSErK8uAjMpW3759GThwIPfeey916tShuLiY06dPk5iYyGOPPWZ0emXikUce4aGHHsLDw4NWrVrRqFEjsrOzGT16NF27djU6PZuaMGECUVFRtGjRgqKiIu6%2B%2B25yc3MJDg526qGwunXrMnbsWEJCQqhfvz7FxcX88ssv7N%2B/n549e1qc%2B5gxYwzM1DpXzuUbP348M2bMYPDgwdSpU%2BeqYz09Pe2ZWpm7/KHmueeeM287efIkU6dOdeoPNWJbbqYrJ3aJSxozZgzff/89ffv2pU6dOhQVFXHmzBliY2OpX78%2B8%2BbNMzpFm0tMTCQhIYEzZ85QWFhIQEAA99xzD926dTM6tTKzf/9%2BLl68SOvWrfH09KSoqIjly5czcOBAp/sPEkqnM5w4cQIvLy/q1q1Lw4YNjU6pTP1x3u6fcXNzY%2BXKlWWcTdlp3LixxXC2yWSyeH6lI0eO2Cstuzh16hRRUVEcPXqUoqIiKlasSG5uLiEhIcyaNYuaNWsanaI4ABV%2BQl5eHosWLTIXQgUFBQQEBHDvvffy3HPPXXNoQRxPamqqeemWkydPsn37durWrWse9nUWfzVn0d3dnRo1aljM7xTH8tVXX133sc7aBUtJSSEtLc1lPtSIbanwE5dTXFzMsmXL2LRpE2fPnmXv3r3k5OQwa9Ysxo0b55RX9r799tu8%2BeabfPHFF2RlZREeHs6tt95Keno6Dz74IE899ZTRKdrMHztCf%2BTu7k6bNm2YMmUKgYGBdsys7Ozfv58aNWoQFBQElC5XtGjRIvLy8ujYsSMPP/ywwRmWnYsXL1JcXGxe0%2B7EiRNUrFjRKde4Gzp0KIsXLzY6DXFwzjmTXa5LQUHBdX05mxkzZhAfH8%2BQIUPMcxsLCws5duyY0637ddmqVatYtmwZAB988AF16tRh5cqVLF%2B%2BnHXr1hmcnW29%2BeabNGnShEmTJrFx40Y%2B%2BOADJk%2BeTLNmzVi4cCHLli3Dw8ODV155xehUbSIhIYEBAwbw3XffAaVrvQ0cOJCff/6ZOnXqMGvWLDZu3GhwlmXjiy%2B%2BICwsjD179pi3ffbZZ3Tq1Ikvv/zSwMzKxqlTp5xieS0xljp%2BLuzvOiOX58442zyZNm3asG7dOmrXrk3z5s355ptvADh79iy9evUiMTHR4AxtLyQkhP379wPw%2BOOP065dOwYNGnTVPmfQq1cv5s6dS7169Sy2Hz9%2BnPHjx7N69WouXbpE586dLQoGR9WnTx8iIyPNazGuW7eOmJgYPvnkE3x8fNi9ezfz5s1j/fr1Bmdqe7169WLAgAH06tXLYnt8fDxLly7lgw8%2BMCizshETE8PWrVtp1qwZtWrVumrKgiNftCP2o4kuLsyRJ3hbo7CwkJtuuumq7RUqVCAnJ8eAjMpeQEAAR48exdvbm6%2B%2B%2BoqJEycCpcVQpUqVjE3Oxn788cdr3sHA39/fYhmfkpISe6ZVZn744Qd69Ohhfp6YmEj79u3x8fEB4F//%2BhcjR440Kr0y9dNPP9GzZ8%2Brtnfu3JkXX3zRgIzK1jfffEPt2rX59ddf%2BfXXXy32/dWHeJErqfBzYZcnPn/zzTc0b97c4Gzs54477mD58uU8%2BeST5m15eXnExMRw5513GphZ2RkyZAgPP/wwJpOJXr16ERQUxKVLl3j66aed6q4dAMHBwTz99NMMHjyYWrVqUb58eU6ePMnbb79NgwYNKCoqYsSIEbRu3droVG3Czc0NDw8P8/Ovv/6aZ555xvzcWdemhNIlbLZv337VkkSbNm2iVq1aBmVVdlatWvWn%2B5xtZEbKjoZ6hRYtWpCUlOSUS3pcS2pqKk888QQAv/76Kw0bNiQtLQ0/Pz8WLlxIo0aNDM6wbKSnp5Odnc2tt94KlA7lb926ldatWzvVPT4zMzN54YUXSExMpLCwEChdtDs0NJTo6Ghuv/12xo8fT3R0tFMs/tuzZ0%2BmTJlCs2bN2Lt3LwMGDCAhIcF8N4vU1FRGjhzJ//t//8/gTG0vMTGRESNGUK9ePerUqUNJSQnHjx/n9OnTLF26lBYtWhidos2ZTCZOnTplMf86PT2dqKgo9u3bZ2Bm4ihU%2BAnvvPMOv/zyC/369aNWrVoW3QNwvkVQAfLz8/nkk09IS0vD29ubunXr0q5dO6df5qOkpISioiLz88tX9d7IEhmOwmQykZWVhclk4ttvv2Xjxo3s2LHDPKfTWaxYsYKVK1fSoUMHEhISuOOOO1i0aBFQeoVrdHQ0zZs3Z9y4cQZnWjbS09P56KOPSEtLw83NjaCgILp370716tWNTs3mkpOTGTlyJJmZmYDlGob333%2B/%2BX7cIn9FhZ8QEhJCUVGRRUFwJWcbQpg4cSLdu3d3ym7An/nhhx8YN24c33//PcXFxRb7mjVrRmxsrEGZlZ1Tp06Zr%2Bo9e/YsYWFh9O7dm3vvvdfo1Gxu%2BfLlJCUlUb9%2BfUaMGEHlypUBmDJlCt999x2LFy%2BmYsWKBmdpe2%2B99ZbFlA1n17t3bzp27Ei3bt3o2bMnW7du5dChQ2zdupUJEyYQEBBgdIriAFT4yd92e5xtEdSnn36apKQkqlSpQteuXQkPD3f6OY6PPvoo9evXp0uXLgwdOpS33nqLw4cPk5SUxJw5c5xiyBNKlyhKSEhg3bp1fPXVVzRv3pyUlBTWrVtnXrzaleTk5DhlwXdZu3bt2LJli1NNVfgrISEh7Nu3Dzc3N5o1a8bBgwcBOHDgAPPmzePtt982OENxBCr8xEJmZqZTLnz6R3l5eezatYuEhAQ%2B/fRTKlWqxAMPPEB4eDi333670enZXIsWLfjiiy8oV66cxX8Yu3fvZv369U5xW75XXnmFuLg4qlatSo8ePYiIiCAoKIiQkBC2bNliXtzYmWVkZJCUlERGRgaenp4EBgZyzz33OO3dd1asWMGOHTvo1q3bNaeptGvXzqDMykaHDh1Yu3YtAQEBtGvXjvfff5%2BgoCAKCwtp2bKlUy3LJGXHuSc0yXXJycnh1VdfZcuWLRQVFXHo0CGysrIYN24c06dPd8pP0xUqVKBLly506dKFoqIikpKSWLJkCcuXL3e6oW0Ab29v8vLyqFSpEj4%2BPmRkZBAQEEDr1q0ZNWqU0enZxHvvvUd4eDjPPPMMdevWNTodu9u2bRvPPvssvr6%2B1K5dG5PJxMmTJykoKGDu3Lm0b9/e6BRtbsaMGQDs3bv3qn3OuAZp9%2B7defDBB/noo4%2B45557GDFiBD179iQlJYU6deoYnZ44CBV%2BwuTJk8nIyGDp0qUMHjwYgPLly%2BPr68uUKVOYPXu2wRmWjYKCAhITE81dPw8PD/7zn/8YnVaZ6NChA48%2B%2Bijvv/8%2BoaGhPP/88/Tp04dvvvnGaTq8S5cuZf369fTo0YMmTZoQERHBAw88YHRadjN79myio6N59NFHzUu4lJSU8P777zN9%2BnSnLPxSU1ONTsGunnvuORo0aEDFihUZP348kyZNYu3atdSuXZuZM2canZ44CA31Cq1ateKjjz7Cz8/P4k4WFy9epEuXLk5xd4Mrbdq0iR07dpCYmIivry9dunSha9eu3H333U67CGpBQQFvvfUWQ4cO5dy5c4wePZqUlBRq167NSy%2B9RJs2bYxO0WYyMzPZvHkzGzZs4Pjx45SUlDBp0iR69erl1Fdth4SE8NVXX1G%2BfHmL7UVFRYSGhrrUMGBeXh6dOnVymrvwdOnShW3btllsGzJkCG%2B%2B%2BaZBGYkjc97fgnLd3NzcrjkHqLi42HwvW2cSExNDly5deOutt5y62LuSp6cnw4YNAyAwMJDVq1cbnFHZqVatGgMHDmTgwIEcOHCAdevWMX36dObMmUPPnj3573//a3SKZSIsLIzPP/%2BcDh06WGzfu3evU3b7AM6cOcO0adM4dOiQxbp2OTk5TnWF6%2BnTp6/a9sUXXxiQiTgDFX5CSEgIM2fO5LnnnjNvO3nyJFOnTnW6K3qh9IIGVyj2bmSJlsjIyDLMxDjBwcEEBwczfvx44uPj2bBhg9Ep2dSV0zD8/PwYN24czZo1o0GDBri5uXH8%2BHH27dvntH%2B/L730EgBDhw5l8uTJTJw4kcOHD3PkyBHeeOMNg7OzHVf4fSX2o6Fe4dSpU0RFRXH06FGKioqoWLEiubm5BAcHM3v2bGrWrGl0ilbr2LEjO3bsAP7%2BSj9nGR4KCwu7ruPc3NzMfzbiWPr3739dx7m5uTnlvblbtmzJZ599RoUKFSymqcTFxZGcnGy%2BJ7Wju/Lc/mqbyPVQx0%2BoVasWmzZt4uDBg5w4cQIvLy/q1q1Lw4YNjU7NZq68Sf2zzz5rYCb2s3PnTqNTkDL2V/dudQXlypUzX8ji5eVFVlYWVatWpXPnzkyaNMlpCj8RW1LhJ5w6dQqAGjVqUKNGDYvt7u7u1KhRw%2BEnxUdERJi/P3fuHN26dTPfy9QVFBYW8sYbb9CuXTvzHUu2bNnC0aNHGT58uFPels8VrF%2B/noceegj466F9Nzc3%2BvTpY6%2B07KZFixYMGzaM%2BfPn07RpU2bMmMGjjz7KgQMH8PLyMjo9mykuLmbt2rVcOUB3rW3OOqQvtqWhXqFx48Z/OYfE3d2dNm3aMGXKFAIDA%2B2YWdmIiIjg%2B%2B%2B/p1mzZoSHh9O1a1enmgh%2BLS%2B99BKHDh1ixowZ3HbbbQB8%2B%2B23TJ48mUaNGjFp0iSDM5T/RdeuXfn444%2BBaw/tu7m5me/n6ozD%2BZmZmbz22mtMmjSJn376iSFDhnDq1Cl8fHyYNGkSPXr0MDpFm7ieaRvO%2BncstqfCT/jss8%2BYN28ejzzyCE2bNsXNzY2UlBTWr1/P0KFDqVChAitWrKBcuXIsWLDA6HRtIi0tjYSEBLZv387BgwcJCQnhgQceoGvXrk65YHWbNm2Ij4%2B/as2%2BzMxMunfvzueff25QZmILJ0%2BepHz58uYPMOnp6axcuZL8/HzCwsJo27atwRna3okTJ9i9ezceHh60b9%2BewMBATCYT586dw8/P76q7eIhIKRV%2BQq9evZg7dy716tWz2H78%2BHHGjx/P6tWruXTpEp07d3a6Nf2gdOg3ISGBLVu2cPDgQQ4dOmR0SjbXqlUrtm3bRtWqVS22Z2Rk0K1bN5KTkw3KTKyVnJzME088wZQpU%2BjevTsFBQX06NGDwsJCbrvtNr788ktmz57NfffdZ3SqNrN3716eeuopAgICKC4uJjMzkxUrVtC0aVOjUxP5x3PsiVtiEz/%2B%2BOM1u1z%2B/v58%2B%2B235uclJSX2TMsuvvvuOxISEvjkk084evSo093b87LOnTszbNgwBg8ebL6d1/Hjx1m6dCnh4eFGpydWmD9/PkOHDqV79%2B4AbN%2B%2BnYyMDBISEqhevTpxcXEsW7bMqQq/efPmMXLkSAYNGgTAsmXLmDVrFitWrDA2MREHoI6f8Nhjj1FcXMzgwYOpVasW5cuX5%2BTJk6xYsYKLFy%2ByZs0annjiCapWrcrcuXONTtdqycnJJCQksGPHDtLT02nTpg1du3bl/vvvd9qb2efn5zN79mw2bdrExYsXAahcuTK9e/fm2WefvepuD%2BI47rrrLhITE/Hx8QEgOjqa/Px8Xn/9daD0775t27Z8/fXXRqZpU6GhoSQmJpov4MjNzeW%2B%2B%2B7jyy%2B/NDgzkX8%2BdfyEuXPn8sILL/DMM89QWFgIgIeHBy1atGDevHmUK1eO2rVrEx0dbXCmtjFo0CDatm3LsGHDnLrYu%2BzyXKgGDRrw4Ycf4unpibu7O1WqVDE6NbEBk8lEhQoVzM%2BTk5PN99yG0mVOnK1bX1BQYHHVro%2BPD/n5%2BQZmJOI4VPgJ1apVY9GiRZhMJrKysjCZTFStWtW8PhbA1KlTDczQtoYMGcLw4cONTsMu/jgX6tVXX9VcKCcTGBjIsWPHaNCgAampqZw%2BfZrWrVub9//0009XXdQjIq5LhZ8AkJKSwrFjx655b15nWxtqzZo19OvXzymv3v0jzYVyft26dSM6Oprw8HA%2B%2BOADgoODufXWW4HSe9bGxMQ43dxVrWsn8r/THD9h6tSprFq1Cj8/P7y9vS32OePaUCtWrGDHjh1069aNWrVqXbXsgzP9J6m5UM6vqKiI6dOnk5SURP369ZkwYYL5NouTJk0iKSmJVatWOdValVrXTuR/p8JPaNmyJfPmzbMYHnJmjRs3/tN9bm5uHDlyxI7ZlC3d49O1paen4%2Bfnp4t3RMRMQ72Cp6en%2BTZeriA1NdXoFETswhnutCMitqXCTxg4cCDLly9nyJAhRqciNqa5UCIiciUN9QpRUVHs27ePcuXKUatWLYureaH0Yghn8nf3JnamoV7NhRIRkSup4yfcfvvt3H777UanYTdvvfWWxfOSkhJ%2B/vln4uLieOKJJwzKqmzs3LnT6BREROQfRB0/kd/9/PPP/Pe//%2BX99983OhUREZEy4f73h4griI%2BP56mnnuLf//43ULoy/rJly3ClzwU33XSTLvwQERGnpqFeYeHChcTGxhIZGcnixYsBuHjxIps2beLSpUuMGjXK4AxtKzY29qpteXl5fPbZZ9StW9eAjEREROxDQ71C%2B/btWbp0KQ0bNrRY4y0tLY0BAwbwySefGJyhbV3rggdvb2/q1q3LqFGj/nKdPxEREUemjp9w6dIlGjZseNX2gIAAzp8/b0BGZefkyZOsWbPGfBeD9PR0Vq5cSX5%2BPmFhYSr6RETEqWmOn3DbbbexZcuWq7YvX77cfM9PZ5CcnEx4eDhfffUVUDqPccCAAXz00UecPHmS4cOHO113U0RE5Erq%2BAnPPPMMw4YNY/Xq1RQWFvL000/z/fffc%2BHCBRYuXGh0ejYzf/58hg4dSvfu3QHYvn07GRkZJCQkUL16deLi4li2bBn33XefwZmKiIiUDc3xEwDOnDlDfHw8v/zyi3m%2BW3h4OFWrVjU6NZu56667SExMxMfHB4Do6Gjy8/N5/fXXAcjPz6dt27Z8/fXXRqYpIiJSZtTxEwD8/f15/PHHgdIFjVNTU51uKReTyUSFChXMz5OTkxk8eLD5uZeXFyUlJUakJiIiYhea4yckJibSvn17AIqKiujXrx//%2Bc9/CAsLc6o5b4GBgRw7dgyA1NRUTp8%2BTevWrc37f/rpJ6pVq2ZUeiIiImVOHT8hJiaGMWPGAKULOZ87d46kpCQOHTrE9OnTnWbOW7du3YiOjiY8PJwPPviA4OBg88UrOTk5xMTE0K5dO4OzFBERKTsq/ISff/6ZXr16AfDpp58SHh5OhQoVCA0N5aeffjI2ORuKioriwoULrF%2B/nvr16zNhwgTzvpiYGI4ePcrLL79sYIYiIiJlSxd3CO3atSM%2BPh4vLy/uvfdelixZQnBwMJmZmXTp0sW8/IkzS09Px8/Pj/LlyxudioiISJlRx0/o3r07jz32GB4eHtSvX5/g4GDy8/N5%2BeWXadu2rdHp2UVgYKDRKYiIiJQ5FX7CuHHjiI%2BP5%2BLFi4SHhwPg7u5O1apVGTt2rMHZiYiIiK1oqFcAOH/%2BPH5%2BfgBkZ2ezZ88egoKCdAszERERJ6LlXIQtW7Zw//33A5CXl8eDDz5ITEwMAwcOZMOGDQZnJyIiIraiwk9YtGgR8%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%2B01Jk2axE8//cSQIUM4deoUPj4%2BTJo0iR49ehidooiIiNiACj8Xd%2BLECXbv3o2Hhwft27cnMDAQk8nEuXPn8PPzw8PDw%2BgURURExEZU%2BLmwvXv38tRTTxEQEEBxcTGZmZmsWLGCpk2bGp2aiIiIlAEVfi7s0UcfpWPHjgwaNAiAZcuWsXv3blasWGFsYiIiIlImVPi5sNDQUBITE80XcOTm5nLffffx5ZdfGpyZiIiIlAVd1evCCgoKLK7a9fHxIT8/38CMREREpCyp8BMRERFxEbpXrwsrLi5m7dq1XDnaf61tkZGRRqQnIiIiNqY5fi4sLCzsb49xc3Njx44ddshGREREypoKPxEREREXoTl%2BIiIiIi5ChZ%2BIiIiIi1DhJyIiIuIiVPiJiIiIuAgVfiIiIiIuQoWfiIiIiItQ4SciIiLiIv4/RAS5d35ljtoAAAAASUVORK5CYII%3D\" class=\"center-img\">\n","</div>\n","    <div class=\"row headerrow highlight\">\n","        <h1>Sample</h1>\n","    </div>\n","    <div class=\"row variablerow\">\n","    <div class=\"col-md-12\" style=\"overflow:scroll; width: 100%%; overflow-y: hidden;\">\n","        <table border=\"1\" class=\"dataframe sample\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","    </div>\n","</div>\n","</div>"],"text/plain":["<pandas_profiling.ProfileReport at 0x7fc6306a7cf8>"]},"metadata":{"tags":[]},"execution_count":36}]},{"cell_type":"markdown","metadata":{"id":"-eLtWpAa_Ppt","colab_type":"text"},"source":["### Agregação de Dados"]},{"cell_type":"code","metadata":{"id":"MoDdzaa-_eny","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":499},"outputId":"b10e60cc-0ba0-4646-a77a-a225e533f18b","executionInfo":{"status":"ok","timestamp":1563409535848,"user_tz":180,"elapsed":623,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.head()"],"execution_count":37,"outputs":[{"output_type":"execute_result","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>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Survived  Pclass  ...     Fare Cabin  Embarked\n","0            1         0       3  ...   7.2500   NaN         S\n","1            2         1       1  ...  71.2833   C85         C\n","2            3         1       3  ...   7.9250   NaN         S\n","3            4         1       1  ...  53.1000  C123         S\n","4            5         0       3  ...   8.0500   NaN         S\n","\n","[5 rows x 12 columns]"]},"metadata":{"tags":[]},"execution_count":37}]},{"cell_type":"markdown","metadata":{"id":"bFLNMEwdri6B","colab_type":"text"},"source":["*Agrupa e conta a quantidade por sexo*"]},{"cell_type":"code","metadata":{"id":"MHaXpSOarYJN","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":87},"outputId":"f3bc3413-923e-42df-8018-dea7e79b894c","executionInfo":{"status":"ok","timestamp":1563409700717,"user_tz":180,"elapsed":584,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.groupby(by='Sex').size()"],"execution_count":41,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Sex\n","female    314\n","male      577\n","dtype: int64"]},"metadata":{"tags":[]},"execution_count":41}]},{"cell_type":"markdown","metadata":{"id":"XiedjSTArsuT","colab_type":"text"},"source":["*Fazendo a mesma coisa..*"]},{"cell_type":"code","metadata":{"id":"mBWwWjVLrpGK","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":69},"outputId":"0bdd80bf-ce08-4b2a-93ea-53a95511cbd6","executionInfo":{"status":"ok","timestamp":1563409647980,"user_tz":180,"elapsed":608,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.Sex.value_counts()"],"execution_count":39,"outputs":[{"output_type":"execute_result","data":{"text/plain":["male      577\n","female    314\n","Name: Sex, dtype: int64"]},"metadata":{"tags":[]},"execution_count":39}]},{"cell_type":"markdown","metadata":{"id":"MZerbDUDrxWV","colab_type":"text"},"source":["*Agrupando por sexo e calculando a média das idades*"]},{"cell_type":"code","metadata":{"id":"zGok86-onpcm","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":87},"outputId":"f5b20f32-d0dd-4b3f-c6ea-d34ef21e38d8","executionInfo":{"status":"ok","timestamp":1563409832915,"user_tz":180,"elapsed":593,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.groupby(by='Sex')['Age'].mean()"],"execution_count":44,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Sex\n","female    27.915709\n","male      30.726645\n","Name: Age, dtype: float64"]},"metadata":{"tags":[]},"execution_count":44}]},{"cell_type":"markdown","metadata":{"id":"5t7XGSK-r4Tp","colab_type":"text"},"source":["*Para trabalhar com os dados use o index e os values*"]},{"cell_type":"code","metadata":{"id":"gaWyoZZbpduu","colab_type":"code","colab":{}},"source":["s1 = df.groupby(by='Sex')['Age'].mean()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"uVTVbVEtpdx5","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"outputId":"a2e0a5f4-143c-4b08-db86-bf82025caa91","executionInfo":{"status":"ok","timestamp":1563409897044,"user_tz":180,"elapsed":595,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["s1.index.values.tolist()"],"execution_count":47,"outputs":[{"output_type":"execute_result","data":{"text/plain":["['female', 'male']"]},"metadata":{"tags":[]},"execution_count":47}]},{"cell_type":"code","metadata":{"id":"N-P6Sc4lqj7t","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"outputId":"fc41b849-d241-4b78-c6b3-52d36bc5c8e5","executionInfo":{"status":"ok","timestamp":1563409916255,"user_tz":180,"elapsed":715,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["s1.values.tolist()"],"execution_count":49,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[27.915708812260537, 30.72664459161148]"]},"metadata":{"tags":[]},"execution_count":49}]},{"cell_type":"markdown","metadata":{"id":"98VKF7Iks25n","colab_type":"text"},"source":["*Média das idades das pessoas que sobreviveram e que não sobreviveram.*"]},{"cell_type":"code","metadata":{"id":"jxNaqsNmsytU","colab_type":"code","colab":{}},"source":["import numpy as np"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"evn93pJ3sAkg","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":202},"outputId":"40fbe439-f43b-42dc-b181-972e827e29af","executionInfo":{"status":"ok","timestamp":1563410009152,"user_tz":180,"elapsed":604,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.groupby(['Sex','Survived']).agg({'Age': np.mean, 'PassengerId': np.size})"],"execution_count":52,"outputs":[{"output_type":"execute_result","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></th>\n","      <th>Age</th>\n","      <th>PassengerId</th>\n","    </tr>\n","    <tr>\n","      <th>Sex</th>\n","      <th>Survived</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th rowspan=\"2\" valign=\"top\">female</th>\n","      <th>0</th>\n","      <td>25.046875</td>\n","      <td>81</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>28.847716</td>\n","      <td>233</td>\n","    </tr>\n","    <tr>\n","      <th rowspan=\"2\" valign=\"top\">male</th>\n","      <th>0</th>\n","      <td>31.618056</td>\n","      <td>468</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>27.276022</td>\n","      <td>109</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                       Age  PassengerId\n","Sex    Survived                        \n","female 0         25.046875           81\n","       1         28.847716          233\n","male   0         31.618056          468\n","       1         27.276022          109"]},"metadata":{"tags":[]},"execution_count":52}]},{"cell_type":"code","metadata":{"id":"qzsqBmy2sAqG","colab_type":"code","colab":{}},"source":["df.reset..."],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"3BCOzL8gZpHo","colab_type":"text"},"source":["### Data Cleaning e Pré-processamento de dados"]},{"cell_type":"markdown","metadata":{"id":"TUcKyYKXIysu","colab_type":"text"},"source":["*Gerando amostras aleatórias dos dados*"]},{"cell_type":"code","metadata":{"id":"v3y2uHJHIxRH","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":395},"outputId":"e88f7589-1cae-481c-a9ed-a009c1cfebd9","executionInfo":{"status":"ok","timestamp":1563410287140,"user_tz":180,"elapsed":613,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.sample(n=50).head()\n"],"execution_count":53,"outputs":[{"output_type":"execute_result","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>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>342</th>\n","      <td>343</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>Collander, Mr. Erik Gustaf</td>\n","      <td>male</td>\n","      <td>28.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>248740</td>\n","      <td>13.0000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>265</th>\n","      <td>266</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>Reeves, Mr. David</td>\n","      <td>male</td>\n","      <td>36.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>C.A. 17248</td>\n","      <td>10.5000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>607</th>\n","      <td>608</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Daniel, Mr. Robert Williams</td>\n","      <td>male</td>\n","      <td>27.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>113804</td>\n","      <td>30.5000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>237</th>\n","      <td>238</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Collyer, Miss. Marjorie \"Lottie\"</td>\n","      <td>female</td>\n","      <td>8.0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>C.A. 31921</td>\n","      <td>26.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>821</th>\n","      <td>822</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Lulic, Mr. Nikola</td>\n","      <td>male</td>\n","      <td>27.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>315098</td>\n","      <td>8.6625</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["     PassengerId  Survived  Pclass  ...     Fare Cabin  Embarked\n","342          343         0       2  ...  13.0000   NaN         S\n","265          266         0       2  ...  10.5000   NaN         S\n","607          608         1       1  ...  30.5000   NaN         S\n","237          238         1       2  ...  26.2500   NaN         S\n","821          822         1       3  ...   8.6625   NaN         S\n","\n","[5 rows x 12 columns]"]},"metadata":{"tags":[]},"execution_count":53}]},{"cell_type":"markdown","metadata":{"id":"a8gjPVlLJGpm","colab_type":"text"},"source":["*25% de dados aleatórios*"]},{"cell_type":"code","metadata":{"id":"z-tWjUEAIyGN","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":465},"outputId":"1bbc39ec-d6b3-4d72-e3c9-228324dc0b24","executionInfo":{"status":"ok","timestamp":1563410336678,"user_tz":180,"elapsed":619,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.sample(frac=.25, random_state=1).head()"],"execution_count":54,"outputs":[{"output_type":"execute_result","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>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>862</th>\n","      <td>863</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Swift, Mrs. Frederick Joel (Margaret Welles Ba...</td>\n","      <td>female</td>\n","      <td>48.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>17466</td>\n","      <td>25.9292</td>\n","      <td>D17</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>223</th>\n","      <td>224</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Nenkoff, Mr. Christo</td>\n","      <td>male</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>349234</td>\n","      <td>7.8958</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>84</th>\n","      <td>85</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Ilett, Miss. Bertha</td>\n","      <td>female</td>\n","      <td>17.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>SO/C 14885</td>\n","      <td>10.5000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>680</th>\n","      <td>681</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Peters, Miss. Katie</td>\n","      <td>female</td>\n","      <td>NaN</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>330935</td>\n","      <td>8.1375</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","    <tr>\n","      <th>535</th>\n","      <td>536</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Hart, Miss. Eva Miriam</td>\n","      <td>female</td>\n","      <td>7.0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>F.C.C. 13529</td>\n","      <td>26.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["     PassengerId  Survived  Pclass  ...     Fare Cabin  Embarked\n","862          863         1       1  ...  25.9292   D17         S\n","223          224         0       3  ...   7.8958   NaN         S\n","84            85         1       2  ...  10.5000   NaN         S\n","680          681         0       3  ...   8.1375   NaN         Q\n","535          536         1       2  ...  26.2500   NaN         S\n","\n","[5 rows x 12 columns]"]},"metadata":{"tags":[]},"execution_count":54}]},{"cell_type":"markdown","metadata":{"id":"yPJdwJalJzo5","colab_type":"text"},"source":["*Tratando Missing Values*"]},{"cell_type":"code","metadata":{"id":"-ZMhK6WJ9U8d","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":243},"outputId":"a320de90-02c3-426a-d642-9e8a2f1773b0","executionInfo":{"status":"ok","timestamp":1563411046279,"user_tz":180,"elapsed":576,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.isnull().sum()"],"execution_count":64,"outputs":[{"output_type":"execute_result","data":{"text/plain":["PassengerId    0\n","Survived       0\n","Pclass         0\n","Name           0\n","Sex            0\n","Age            0\n","SibSp          0\n","Parch          0\n","Ticket         0\n","Fare           0\n","Cabin          0\n","Embarked       0\n","dtype: int64"]},"metadata":{"tags":[]},"execution_count":64}]},{"cell_type":"markdown","metadata":{"id":"U4NovfawBcij","colab_type":"text"},"source":["\n","---\n","\n","Métodos de preenchimento de valores faltantes.\n","\n","```\n","# df.fillna(0)\n","# df.fillna(df.Age.mean())\n","# df.fillna(method='ffill')\n","# df.fillna(method='bfill')\n","# values = {'A': 0, 'B': 1, 'C': 2, 'D': 3} -> df.fillna(value=values)\n","```\n","\n"]},{"cell_type":"code","metadata":{"id":"nJmIugaLCaqV","colab_type":"code","colab":{}},"source":["values = {'Age': df.Age.mode()[0], 'Cabin': 'SC', 'Embarked': df.Embarked.mode()[0]}"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"5LbTVy-Yjfpy","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"outputId":"bc764192-6369-41c2-a4f7-68086f9e2dcf","executionInfo":{"status":"ok","timestamp":1563410986014,"user_tz":180,"elapsed":589,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":[""],"execution_count":61,"outputs":[{"output_type":"execute_result","data":{"text/plain":["24.0"]},"metadata":{"tags":[]},"execution_count":61}]},{"cell_type":"code","metadata":{"id":"LtTmcXrCC-lU","colab_type":"code","colab":{}},"source":["df.fillna(value=values, inplace=True)"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"0XFvjoBvJpZP","colab_type":"text"},"source":["*Manipulando strings.*"]},{"cell_type":"code","metadata":{"id":"BYa7Af2cENWK","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":121},"outputId":"c698f7a8-06ed-46fb-fff4-e67bc2424f3e","executionInfo":{"status":"ok","timestamp":1563411122149,"user_tz":180,"elapsed":610,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.Name.str.rstrip().head()"],"execution_count":65,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0                              Braund, Mr. Owen Harris\n","1    Cumings, Mrs. John Bradley (Florence Briggs Th...\n","2                               Heikkinen, Miss. Laina\n","3         Futrelle, Mrs. Jacques Heath (Lily May Peel)\n","4                             Allen, Mr. William Henry\n","Name: Name, dtype: object"]},"metadata":{"tags":[]},"execution_count":65}]},{"cell_type":"code","metadata":{"id":"0wd8sksOjDfx","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":121},"outputId":"f9cca1e4-6f7e-4647-f05f-224cd7a21056","executionInfo":{"status":"ok","timestamp":1563411173234,"user_tz":180,"elapsed":628,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.Name.str.lower().head()"],"execution_count":66,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0                              braund, mr. owen harris\n","1    cumings, mrs. john bradley (florence briggs th...\n","2                               heikkinen, miss. laina\n","3         futrelle, mrs. jacques heath (lily may peel)\n","4                             allen, mr. william henry\n","Name: Name, dtype: object"]},"metadata":{"tags":[]},"execution_count":66}]},{"cell_type":"code","metadata":{"id":"vft3KBUZioZx","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":121},"outputId":"ebad5345-08bd-49c9-8738-bb26e94dbd4a","executionInfo":{"status":"ok","timestamp":1563411182627,"user_tz":180,"elapsed":600,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.Name.str.upper().head()"],"execution_count":67,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0                              BRAUND, MR. OWEN HARRIS\n","1    CUMINGS, MRS. JOHN BRADLEY (FLORENCE BRIGGS TH...\n","2                               HEIKKINEN, MISS. LAINA\n","3         FUTRELLE, MRS. JACQUES HEATH (LILY MAY PEEL)\n","4                             ALLEN, MR. WILLIAM HENRY\n","Name: Name, dtype: object"]},"metadata":{"tags":[]},"execution_count":67}]},{"cell_type":"markdown","metadata":{"id":"JiboupAKnno-","colab_type":"text"},"source":["*Cleaning textos*"]},{"cell_type":"code","metadata":{"id":"2yqVRd7Elb7R","colab_type":"code","colab":{}},"source":["def remove_parenteses(item):\n","  if '(' in item:\n","    return item.replace('(','').replace(')','')\n","  else:\n","    return item"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"yUXICVd0lb-P","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":208},"outputId":"8ca4216b-d6e1-42c1-cc81-47d776c6ea47","executionInfo":{"status":"ok","timestamp":1563411340602,"user_tz":180,"elapsed":604,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.Name.head(10).apply(remove_parenteses)"],"execution_count":69,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0                              Braund, Mr. Owen Harris\n","1    Cumings, Mrs. John Bradley Florence Briggs Thayer\n","2                               Heikkinen, Miss. Laina\n","3           Futrelle, Mrs. Jacques Heath Lily May Peel\n","4                             Allen, Mr. William Henry\n","5                                     Moran, Mr. James\n","6                              McCarthy, Mr. Timothy J\n","7                       Palsson, Master. Gosta Leonard\n","8      Johnson, Mrs. Oscar W Elisabeth Vilhelmina Berg\n","9                    Nasser, Mrs. Nicholas Adele Achem\n","Name: Name, dtype: object"]},"metadata":{"tags":[]},"execution_count":69}]},{"cell_type":"markdown","metadata":{"id":"GhdqI3cAnb7q","colab_type":"text"},"source":["\n","\n","*   **Dica**: Método applymap() pode ser usado a nível de dataframe.\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"-JbV5ThfipqM","colab_type":"text"},"source":["*Usando Expressão regular*"]},{"cell_type":"code","metadata":{"id":"Sel4l5Bs0-8i","colab_type":"code","colab":{}},"source":["import re"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"fLx4TgbG0ASy","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":534},"outputId":"b6485d91-1f7e-4171-e2c7-50ed986da188","executionInfo":{"status":"ok","timestamp":1563411524217,"user_tz":180,"elapsed":1255,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.loc[df.Name.str.contains('Mr', flags=re.I, regex=True)].head()"],"execution_count":71,"outputs":[{"output_type":"execute_result","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>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>SC</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>SC</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Moran, Mr. James</td>\n","      <td>male</td>\n","      <td>24.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>330877</td>\n","      <td>8.4583</td>\n","      <td>SC</td>\n","      <td>Q</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Survived  Pclass  ...     Fare Cabin  Embarked\n","0            1         0       3  ...   7.2500    SC         S\n","1            2         1       1  ...  71.2833   C85         C\n","3            4         1       1  ...  53.1000  C123         S\n","4            5         0       3  ...   8.0500    SC         S\n","5            6         0       3  ...   8.4583    SC         Q\n","\n","[5 rows x 12 columns]"]},"metadata":{"tags":[]},"execution_count":71}]},{"cell_type":"markdown","metadata":{"id":"9vby63cOqJDO","colab_type":"text"},"source":["*Usando lambda*"]},{"cell_type":"code","metadata":{"id":"DmsAauVc0w9y","colab_type":"code","colab":{}},"source":["def checa_nome(name,last_letter):\n","  if re.search('Mr', name):\n","    return last_letter\n","  else:\n","    return 0"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"feqywV1l0AVa","colab_type":"code","colab":{}},"source":["df['Mr_name'] =  df.Name.apply(lambda x: checa_nome(x, x[-1]))"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"RehgBi6YEBko","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":1000},"outputId":"7616fa4f-286e-4332-d783-cd270f90b2c3","executionInfo":{"status":"ok","timestamp":1563411754737,"user_tz":180,"elapsed":873,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.head(20)"],"execution_count":75,"outputs":[{"output_type":"execute_result","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>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","      <th>Mr_name</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>s</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","      <td>)</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","      <td>)</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>y</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Moran, Mr. James</td>\n","      <td>male</td>\n","      <td>24.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>330877</td>\n","      <td>8.4583</td>\n","      <td>SC</td>\n","      <td>Q</td>\n","      <td>s</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>7</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>McCarthy, Mr. Timothy J</td>\n","      <td>male</td>\n","      <td>54.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>17463</td>\n","      <td>51.8625</td>\n","      <td>E46</td>\n","      <td>S</td>\n","      <td>J</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>8</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Palsson, Master. Gosta Leonard</td>\n","      <td>male</td>\n","      <td>2.0</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>349909</td>\n","      <td>21.0750</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>9</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)</td>\n","      <td>female</td>\n","      <td>27.0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>347742</td>\n","      <td>11.1333</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>)</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>10</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Nasser, Mrs. Nicholas (Adele Achem)</td>\n","      <td>female</td>\n","      <td>14.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>237736</td>\n","      <td>30.0708</td>\n","      <td>SC</td>\n","      <td>C</td>\n","      <td>)</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>11</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Sandstrom, Miss. Marguerite Rut</td>\n","      <td>female</td>\n","      <td>4.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>PP 9549</td>\n","      <td>16.7000</td>\n","      <td>G6</td>\n","      <td>S</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>12</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Bonnell, Miss. Elizabeth</td>\n","      <td>female</td>\n","      <td>58.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>113783</td>\n","      <td>26.5500</td>\n","      <td>C103</td>\n","      <td>S</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>13</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Saundercock, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>20.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>A/5. 2151</td>\n","      <td>8.0500</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>y</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>14</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Andersson, Mr. Anders Johan</td>\n","      <td>male</td>\n","      <td>39.0</td>\n","      <td>1</td>\n","      <td>5</td>\n","      <td>347082</td>\n","      <td>31.2750</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>n</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>15</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Vestrom, Miss. Hulda Amanda Adolfina</td>\n","      <td>female</td>\n","      <td>14.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>350406</td>\n","      <td>7.8542</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>16</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Hewlett, Mrs. (Mary D Kingcome)</td>\n","      <td>female</td>\n","      <td>55.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>248706</td>\n","      <td>16.0000</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td></td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>17</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Rice, Master. Eugene</td>\n","      <td>male</td>\n","      <td>2.0</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>382652</td>\n","      <td>29.1250</td>\n","      <td>SC</td>\n","      <td>Q</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>18</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>Williams, Mr. Charles Eugene</td>\n","      <td>male</td>\n","      <td>24.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>244373</td>\n","      <td>13.0000</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>e</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>19</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Vander Planke, Mrs. Julius (Emelia Maria Vande...</td>\n","      <td>female</td>\n","      <td>31.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>345763</td>\n","      <td>18.0000</td>\n","      <td>SC</td>\n","      <td>S</td>\n","      <td>)</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>20</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Masselmani, Mrs. Fatima</td>\n","      <td>female</td>\n","      <td>24.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>2649</td>\n","      <td>7.2250</td>\n","      <td>SC</td>\n","      <td>C</td>\n","      <td>a</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    PassengerId  Survived  Pclass  ... Cabin Embarked  Mr_name\n","0             1         0       3  ...    SC        S        s\n","1             2         1       1  ...   C85        C        )\n","2             3         1       3  ...    SC        S        0\n","3             4         1       1  ...  C123        S        )\n","4             5         0       3  ...    SC        S        y\n","5             6         0       3  ...    SC        Q        s\n","6             7         0       1  ...   E46        S        J\n","7             8         0       3  ...    SC        S        0\n","8             9         1       3  ...    SC        S        )\n","9            10         1       2  ...    SC        C        )\n","10           11         1       3  ...    G6        S        0\n","11           12         1       1  ...  C103        S        0\n","12           13         0       3  ...    SC        S        y\n","13           14         0       3  ...    SC        S        n\n","14           15         0       3  ...    SC        S        0\n","15           16         1       2  ...    SC        S         \n","16           17         0       3  ...    SC        Q        0\n","17           18         1       2  ...    SC        S        e\n","18           19         0       3  ...    SC        S        )\n","19           20         1       3  ...    SC        C        a\n","\n","[20 rows x 13 columns]"]},"metadata":{"tags":[]},"execution_count":75}]},{"cell_type":"markdown","metadata":{"id":"Ps73UYYzEGtk","colab_type":"text"},"source":["### Trabalhando com grandes bases de dados"]},{"cell_type":"markdown","metadata":{"id":"zA0c7nIKg8sJ","colab_type":"text"},"source":["\n","\n","\n","1.   Tente trabalhar apenas com as colunas que você vai realmente precisar.\n","2.   Atente para o tipo de dado de cada coluna.\n","3.   Use chunksize para dividir o processamento por quantidade de linhas.\n","\n","\n","\n"]},{"cell_type":"markdown","metadata":{"id":"wKlYlG5OxnTm","colab_type":"text"},"source":["**Dica:** Se estiver no linux use o comando head para ler as 5 primeiras linhas do arquivo:\n","\n","`head -n 5 dataset.csv`"]},{"cell_type":"code","metadata":{"id":"WryGkLK2x-NV","colab_type":"code","colab":{}},"source":["# Lear a base com o parâmetro nrows\n","df = pd.read_csv(\"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\", sep=';', nrows=5)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"8oe4jhoTyCjg","colab_type":"code","colab":{}},"source":["df"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"hCsk3R2RyZWy","colab_type":"text"},"source":["*Exporte o nome das colunas para usar no parâmetro usecols*"]},{"cell_type":"code","metadata":{"id":"D76gJZoSyW-y","colab_type":"code","colab":{}},"source":["df.columns.tolist()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"TaCSIQLnij_7","colab_type":"code","colab":{}},"source":["df = pd.read_csv(\"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\", usecols=['PassengerId','Survived','Name','Sex'])"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"vwHkY5ixifdq","colab_type":"code","colab":{}},"source":["df.head()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"EiUrnBrpiOFT","colab_type":"code","colab":{}},"source":["df = pd.read_csv(\"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\", usecols=[0,1,2,3,4,5])"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"V7hYNjLni_JV","colab_type":"text"},"source":["*Veja o uso de memória*"]},{"cell_type":"code","metadata":{"id":"AgDujHlgifhn","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":243},"outputId":"43c5f867-055c-407c-fb8d-d77177f69062","executionInfo":{"status":"ok","timestamp":1563412409964,"user_tz":180,"elapsed":1664,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.info()"],"execution_count":80,"outputs":[{"output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 891 entries, 0 to 890\n","Data columns (total 8 columns):\n","PassengerId    891 non-null int64\n","Survived       891 non-null int64\n","Pclass         891 non-null int64\n","Name           891 non-null object\n","Sex            891 non-null object\n","Age            714 non-null float64\n","SibSp          891 non-null int64\n","Embarked       889 non-null object\n","dtypes: float64(1), int64(4), object(3)\n","memory usage: 55.8+ KB\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"k-h8EnoCVbcw","colab_type":"text"},"source":["*Leia todas as colunas exceto algumas..*"]},{"cell_type":"code","metadata":{"id":"uQ81ma1LVbuv","colab_type":"code","colab":{}},"source":["data = \"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\"\n","df = pd.read_csv(data, usecols = lambda column : column not in [\"Parch\" , \"Ticket\", \"Fare\",\"Cabin\"])"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"NSpNSPtnV9C1","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":219},"outputId":"bdc1dc70-e7fa-4ad1-bd69-18922711f3c3","executionInfo":{"status":"ok","timestamp":1563412400818,"user_tz":180,"elapsed":598,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.head()"],"execution_count":79,"outputs":[{"output_type":"execute_result","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>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Survived  Pclass  ...   Age SibSp  Embarked\n","0            1         0       3  ...  22.0     1         S\n","1            2         1       1  ...  38.0     1         C\n","2            3         1       3  ...  26.0     0         S\n","3            4         1       1  ...  35.0     1         S\n","4            5         0       3  ...  35.0     0         S\n","\n","[5 rows x 8 columns]"]},"metadata":{"tags":[]},"execution_count":79}]},{"cell_type":"markdown","metadata":{"id":"A2_q3KE0lZtH","colab_type":"text"},"source":["### Trabalhe com os tipos de dados adequados"]},{"cell_type":"code","metadata":{"id":"7BfQstJulllM","colab_type":"code","colab":{}},"source":["df = pd.read_csv(\"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\")"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"LCJYpb5Mj1I_","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":499},"outputId":"129a3ac2-6f19-4f41-badb-0e011414339e","executionInfo":{"status":"ok","timestamp":1563412474095,"user_tz":180,"elapsed":890,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.head()"],"execution_count":82,"outputs":[{"output_type":"execute_result","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>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Survived  Pclass  ...     Fare Cabin  Embarked\n","0            1         0       3  ...   7.2500   NaN         S\n","1            2         1       1  ...  71.2833   C85         C\n","2            3         1       3  ...   7.9250   NaN         S\n","3            4         1       1  ...  53.1000  C123         S\n","4            5         0       3  ...   8.0500   NaN         S\n","\n","[5 rows x 12 columns]"]},"metadata":{"tags":[]},"execution_count":82}]},{"cell_type":"code","metadata":{"id":"yr3i3BbyWzXO","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":312},"outputId":"3bca55b2-3cd4-42e1-9572-d96de7354d56","executionInfo":{"status":"ok","timestamp":1563412478891,"user_tz":180,"elapsed":595,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.info()"],"execution_count":83,"outputs":[{"output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 891 entries, 0 to 890\n","Data columns (total 12 columns):\n","PassengerId    891 non-null int64\n","Survived       891 non-null int64\n","Pclass         891 non-null int64\n","Name           891 non-null object\n","Sex            891 non-null object\n","Age            714 non-null float64\n","SibSp          891 non-null int64\n","Parch          891 non-null int64\n","Ticket         891 non-null object\n","Fare           891 non-null float64\n","Cabin          204 non-null object\n","Embarked       889 non-null object\n","dtypes: float64(2), int64(5), object(5)\n","memory usage: 83.6+ KB\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"H7EPFRmflqfr","colab_type":"text"},"source":["*Convertendo os tipos de dados*"]},{"cell_type":"code","metadata":{"id":"YYXUUhRVjFu5","colab_type":"code","colab":{}},"source":["df.Sex = df.Sex.astype('category')\n","df.Embarked = df.Embarked.astype('category')\n","df.Survived = df.Survived.astype('category')\n","df.Pclass = df.Pclass.astype('category')\n","df.PassengerId = df.PassengerId.astype('int32')\n","df.Parch = df.Parch.astype('int32')\n","df.SibSp = df.SibSp.astype('int32')\n"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"KupdKOHFlHUc","colab_type":"text"},"source":["*Veja o uso de memória*"]},{"cell_type":"code","metadata":{"id":"YcSZTcJ3jnGO","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":312},"outputId":"6b6bb1a8-e59c-4f44-fa08-db2cdd631ab2","executionInfo":{"status":"ok","timestamp":1563412612035,"user_tz":180,"elapsed":582,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["df.info()"],"execution_count":85,"outputs":[{"output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 891 entries, 0 to 890\n","Data columns (total 12 columns):\n","PassengerId    891 non-null int32\n","Survived       891 non-null category\n","Pclass         891 non-null category\n","Name           891 non-null object\n","Sex            891 non-null category\n","Age            714 non-null float64\n","SibSp          891 non-null int32\n","Parch          891 non-null int32\n","Ticket         891 non-null object\n","Fare           891 non-null float64\n","Cabin          204 non-null object\n","Embarked       889 non-null category\n","dtypes: category(4), float64(2), int32(3), object(3)\n","memory usage: 49.2+ KB\n"],"name":"stdout"}]},{"cell_type":"markdown","metadata":{"id":"8QHGqRSTXaEd","colab_type":"text"},"source":["*Converta colunas em tempo de leitura*"]},{"cell_type":"code","metadata":{"id":"xLtLVQZXW3ik","colab_type":"code","colab":{}},"source":["data = \"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\"\n","df = pd.read_csv(data,  dtype = {\"Embarked\" : \"category\", \"Survived\": \"category\", \"Parch\": \"int32\"})"],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"-6E22e44lOXf","colab_type":"text"},"source":["### Trabalhando com Chunksize"]},{"cell_type":"markdown","metadata":{"id":"H46uNAxp1MqQ","colab_type":"text"},"source":["\n","\n","*   O parâmetro chunksize está disponível também para o método **read_json**\n","\n","\n"]},{"cell_type":"code","metadata":{"id":"EbUDZJbgrYiA","colab_type":"code","colab":{}},"source":["data = \"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\""],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"JzwdfJ1_GhgV","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":1000},"outputId":"ac3d1eb6-5580-4cb2-d518-2a3aa62375dc","executionInfo":{"status":"ok","timestamp":1563413152910,"user_tz":180,"elapsed":601,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["for d in pd.read_csv(data, chunksize=200):\n","  print (\"Chunk\")\n","  print(d.count())"],"execution_count":87,"outputs":[{"output_type":"stream","text":["Chunk\n","PassengerId    200\n","Survived       200\n","Pclass         200\n","Name           200\n","Sex            200\n","Age            159\n","SibSp          200\n","Parch          200\n","Ticket         200\n","Fare           200\n","Cabin           40\n","Embarked       199\n","dtype: int64\n","Chunk\n","PassengerId    200\n","Survived       200\n","Pclass         200\n","Name           200\n","Sex            200\n","Age            163\n","SibSp          200\n","Parch          200\n","Ticket         200\n","Fare           200\n","Cabin           51\n","Embarked       200\n","dtype: int64\n","Chunk\n","PassengerId    200\n","Survived       200\n","Pclass         200\n","Name           200\n","Sex            200\n","Age            152\n","SibSp          200\n","Parch          200\n","Ticket         200\n","Fare           200\n","Cabin           46\n","Embarked       200\n","dtype: int64\n","Chunk\n","PassengerId    200\n","Survived       200\n","Pclass         200\n","Name           200\n","Sex            200\n","Age            163\n","SibSp          200\n","Parch          200\n","Ticket         200\n","Fare           200\n","Cabin           48\n","Embarked       200\n","dtype: int64\n","Chunk\n","PassengerId    91\n","Survived       91\n","Pclass         91\n","Name           91\n","Sex            91\n","Age            77\n","SibSp          91\n","Parch          91\n","Ticket         91\n","Fare           91\n","Cabin          19\n","Embarked       90\n","dtype: int64\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"tADuDZJvKE8m","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":107},"outputId":"921ca1c6-465e-4187-838b-5da3aa1e9d24","executionInfo":{"status":"ok","timestamp":1563413232761,"user_tz":180,"elapsed":706,"user":{"displayName":"Rodrigo Santana Ferreira","photoUrl":"https://lh5.googleusercontent.com/-w5AmPcUma78/AAAAAAAAAAI/AAAAAAAAAPw/2VfgXe2k7sI/s64/photo.jpg","userId":"14710330936720624047"}}},"source":["age_mean = []\n","age_std = []\n","sex_dist = []\n","male_count = []\n","female_count = []\n","\n","for d in pd.read_csv(\"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\", chunksize=200):\n","    age_mean.append(d.Age.mean())\n","    age_std.append(d.Age.std())\n","    male_count.append(d.Sex.value_counts().values[0])\n","    female_count.append(d.Sex.value_counts().values[1])\n","\n","print (age_mean)\n","print (age_std)\n","print (male_count)\n","print (female_count)"],"execution_count":88,"outputs":[{"output_type":"stream","text":["[28.017798742138364, 29.33079754601227, 32.11348684210526, 30.12834355828221, 28.275974025974026]\n","[15.295229364946692, 13.12020630773483, 14.945121433057423, 14.612669214084448, 14.393209680055847]\n","[129, 118, 130, 140, 60]\n","[71, 82, 70, 60, 31]\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"7x5fEpaSsLkB","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]}]}