diff --git a/intern-basics/Advertisment Analysis/Advertisement analysis.ipynb b/intern-basics/Advertisment Analysis/Advertisement analysis.ipynb
new file mode 100644
index 0000000..670f090
--- /dev/null
+++ b/intern-basics/Advertisment Analysis/Advertisement analysis.ipynb	
@@ -0,0 +1,704 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ad_data = pd.read_csv('advertising.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Daily Time Spent on Site</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Area Income</th>\n",
+       "      <th>Daily Internet Usage</th>\n",
+       "      <th>Ad Topic Line</th>\n",
+       "      <th>City</th>\n",
+       "      <th>Male</th>\n",
+       "      <th>Country</th>\n",
+       "      <th>Timestamp</th>\n",
+       "      <th>Clicked on Ad</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>68.95</td>\n",
+       "      <td>35</td>\n",
+       "      <td>61833.90</td>\n",
+       "      <td>256.09</td>\n",
+       "      <td>Cloned 5thgeneration orchestration</td>\n",
+       "      <td>Wrightburgh</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Tunisia</td>\n",
+       "      <td>2016-03-27 00:53:11</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>80.23</td>\n",
+       "      <td>31</td>\n",
+       "      <td>68441.85</td>\n",
+       "      <td>193.77</td>\n",
+       "      <td>Monitored national standardization</td>\n",
+       "      <td>West Jodi</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Nauru</td>\n",
+       "      <td>2016-04-04 01:39:02</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>69.47</td>\n",
+       "      <td>26</td>\n",
+       "      <td>59785.94</td>\n",
+       "      <td>236.50</td>\n",
+       "      <td>Organic bottom-line service-desk</td>\n",
+       "      <td>Davidton</td>\n",
+       "      <td>0</td>\n",
+       "      <td>San Marino</td>\n",
+       "      <td>2016-03-13 20:35:42</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>74.15</td>\n",
+       "      <td>29</td>\n",
+       "      <td>54806.18</td>\n",
+       "      <td>245.89</td>\n",
+       "      <td>Triple-buffered reciprocal time-frame</td>\n",
+       "      <td>West Terrifurt</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Italy</td>\n",
+       "      <td>2016-01-10 02:31:19</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>68.37</td>\n",
+       "      <td>35</td>\n",
+       "      <td>73889.99</td>\n",
+       "      <td>225.58</td>\n",
+       "      <td>Robust logistical utilization</td>\n",
+       "      <td>South Manuel</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Iceland</td>\n",
+       "      <td>2016-06-03 03:36:18</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Daily Time Spent on Site  Age  Area Income  Daily Internet Usage  \\\n",
+       "0                     68.95   35     61833.90                256.09   \n",
+       "1                     80.23   31     68441.85                193.77   \n",
+       "2                     69.47   26     59785.94                236.50   \n",
+       "3                     74.15   29     54806.18                245.89   \n",
+       "4                     68.37   35     73889.99                225.58   \n",
+       "\n",
+       "                           Ad Topic Line            City  Male     Country  \\\n",
+       "0     Cloned 5thgeneration orchestration     Wrightburgh     0     Tunisia   \n",
+       "1     Monitored national standardization       West Jodi     1       Nauru   \n",
+       "2       Organic bottom-line service-desk        Davidton     0  San Marino   \n",
+       "3  Triple-buffered reciprocal time-frame  West Terrifurt     1       Italy   \n",
+       "4          Robust logistical utilization    South Manuel     0     Iceland   \n",
+       "\n",
+       "             Timestamp  Clicked on Ad  \n",
+       "0  2016-03-27 00:53:11              0  \n",
+       "1  2016-04-04 01:39:02              0  \n",
+       "2  2016-03-13 20:35:42              0  \n",
+       "3  2016-01-10 02:31:19              0  \n",
+       "4  2016-06-03 03:36:18              0  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ad_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 1000 entries, 0 to 999\n",
+      "Data columns (total 10 columns):\n",
+      " #   Column                    Non-Null Count  Dtype  \n",
+      "---  ------                    --------------  -----  \n",
+      " 0   Daily Time Spent on Site  1000 non-null   float64\n",
+      " 1   Age                       1000 non-null   int64  \n",
+      " 2   Area Income               1000 non-null   float64\n",
+      " 3   Daily Internet Usage      1000 non-null   float64\n",
+      " 4   Ad Topic Line             1000 non-null   object \n",
+      " 5   City                      1000 non-null   object \n",
+      " 6   Male                      1000 non-null   int64  \n",
+      " 7   Country                   1000 non-null   object \n",
+      " 8   Timestamp                 1000 non-null   object \n",
+      " 9   Clicked on Ad             1000 non-null   int64  \n",
+      "dtypes: float64(3), int64(3), object(4)\n",
+      "memory usage: 78.2+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "ad_data.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Daily Time Spent on Site</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Area Income</th>\n",
+       "      <th>Daily Internet Usage</th>\n",
+       "      <th>Male</th>\n",
+       "      <th>Clicked on Ad</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.000000</td>\n",
+       "      <td>1000.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>65.000200</td>\n",
+       "      <td>36.009000</td>\n",
+       "      <td>55000.000080</td>\n",
+       "      <td>180.000100</td>\n",
+       "      <td>0.481000</td>\n",
+       "      <td>0.50000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>15.853615</td>\n",
+       "      <td>8.785562</td>\n",
+       "      <td>13414.634022</td>\n",
+       "      <td>43.902339</td>\n",
+       "      <td>0.499889</td>\n",
+       "      <td>0.50025</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>32.600000</td>\n",
+       "      <td>19.000000</td>\n",
+       "      <td>13996.500000</td>\n",
+       "      <td>104.780000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>51.360000</td>\n",
+       "      <td>29.000000</td>\n",
+       "      <td>47031.802500</td>\n",
+       "      <td>138.830000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>68.215000</td>\n",
+       "      <td>35.000000</td>\n",
+       "      <td>57012.300000</td>\n",
+       "      <td>183.130000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.50000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>78.547500</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>65470.635000</td>\n",
+       "      <td>218.792500</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>91.430000</td>\n",
+       "      <td>61.000000</td>\n",
+       "      <td>79484.800000</td>\n",
+       "      <td>269.960000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       Daily Time Spent on Site          Age   Area Income  \\\n",
+       "count               1000.000000  1000.000000   1000.000000   \n",
+       "mean                  65.000200    36.009000  55000.000080   \n",
+       "std                   15.853615     8.785562  13414.634022   \n",
+       "min                   32.600000    19.000000  13996.500000   \n",
+       "25%                   51.360000    29.000000  47031.802500   \n",
+       "50%                   68.215000    35.000000  57012.300000   \n",
+       "75%                   78.547500    42.000000  65470.635000   \n",
+       "max                   91.430000    61.000000  79484.800000   \n",
+       "\n",
+       "       Daily Internet Usage         Male  Clicked on Ad  \n",
+       "count           1000.000000  1000.000000     1000.00000  \n",
+       "mean             180.000100     0.481000        0.50000  \n",
+       "std               43.902339     0.499889        0.50025  \n",
+       "min              104.780000     0.000000        0.00000  \n",
+       "25%              138.830000     0.000000        0.00000  \n",
+       "50%              183.130000     0.000000        0.50000  \n",
+       "75%              218.792500     1.000000        1.00000  \n",
+       "max              269.960000     1.000000        1.00000  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ad_data.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 0, 'Age')"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_style('whitegrid')\n",
+    "ad_data['Age'].hist(bins=30)\n",
+    "plt.xlabel('Age')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x1dd468e7148>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.jointplot(x='Age',y='Area Income',data=ad_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x1dd46a97148>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.jointplot(x='Age',y='Daily Time Spent on Site',data=ad_data,color='red',kind='kde')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.JointGrid at 0x1dd46bb8cc8>"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.jointplot('Daily Time Spent on Site', 'Daily Internet Usage', ad_data ,color='green')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.PairGrid at 0x1dd46d1a388>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 969.75x900 with 30 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.pairplot(ad_data,hue='Clicked on Ad',palette='bwr')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x1dd47a1a8c8>"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.countplot(x = 'Clicked on Ad', data = ad_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.model_selection import train_test_split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X = ad_data[['Daily Time Spent on Site', 'Age', 'Area Income','Daily Internet Usage', 'Male']]\n",
+    "y = ad_data['Clicked on Ad']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.33, random_state=101)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = LogisticRegression()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\hp\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:940: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "  extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
+       "                   intercept_scaling=1, l1_ratio=None, max_iter=100,\n",
+       "                   multi_class='auto', n_jobs=None, penalty='l2',\n",
+       "                   random_state=None, solver='lbfgs', tol=0.0001, verbose=0,\n",
+       "                   warm_start=False)"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model.fit(X_train,y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions = model.predict(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics import classification_report"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.97      0.99      0.98       171\n",
+      "           1       0.99      0.96      0.98       159\n",
+      "\n",
+      "    accuracy                           0.98       330\n",
+      "   macro avg       0.98      0.98      0.98       330\n",
+      "weighted avg       0.98      0.98      0.98       330\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(classification_report(y_test,predictions))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics import confusion_matrix"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[170   1]\n",
+      " [  6 153]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(confusion_matrix(y_test, predictions))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/intern-basics/Advertisment Analysis/Readme.md b/intern-basics/Advertisment Analysis/Readme.md
new file mode 100644
index 0000000..203f559
--- /dev/null
+++ b/intern-basics/Advertisment Analysis/Readme.md	
@@ -0,0 +1,15 @@
+This project contains a fake advertising data set, indicating whether or not a particular internet user clicked on an Advertisement on a company website. 
+Created a model that will predict whether or not they will click on an ad based off the features of a particular user.
+
+The data set used contains the following features:
+
+* 'Daily Time Spent on Site': Consumer time on site in minutes
+* 'Age': cutomer age in years
+* 'Area Income': Avg. Income of geographical area of consumer
+* 'Daily Internet Usage': Avg. minutes a day consumer is on the internet
+* 'Ad Topic Line': Headline of the advertisement
+* 'City': City of consumer
+* 'Male': Whether or not consumer was male
+* 'Country': Country of consumer
+* 'Timestamp': Time at which consumer clicked on Ad or closed window
+* 'Clicked on Ad': 0 or 1 indicated clicking on Ad
diff --git a/intern-basics/Advertisment Analysis/advertising.csv b/intern-basics/Advertisment Analysis/advertising.csv
new file mode 100644
index 0000000..43290f8
--- /dev/null
+++ b/intern-basics/Advertisment Analysis/advertising.csv	
@@ -0,0 +1,1001 @@
+Daily Time Spent on Site,Age,Area Income,Daily Internet Usage,Ad Topic Line,City,Male,Country,Timestamp,Clicked on Ad
+68.95,35,61833.9,256.09,Cloned 5thgeneration orchestration,Wrightburgh,0,Tunisia,2016-03-27 00:53:11,0
+80.23,31,68441.85,193.77,Monitored national standardization,West Jodi,1,Nauru,2016-04-04 01:39:02,0
+69.47,26,59785.94,236.5,Organic bottom-line service-desk,Davidton,0,San Marino,2016-03-13 20:35:42,0
+74.15,29,54806.18,245.89,Triple-buffered reciprocal time-frame,West Terrifurt,1,Italy,2016-01-10 02:31:19,0
+68.37,35,73889.99,225.58,Robust logistical utilization,South Manuel,0,Iceland,2016-06-03 03:36:18,0
+59.99,23,59761.56,226.74,Sharable client-driven software,Jamieberg,1,Norway,2016-05-19 14:30:17,0
+88.91,33,53852.85,208.36,Enhanced dedicated support,Brandonstad,0,Myanmar,2016-01-28 20:59:32,0
+66.0,48,24593.33,131.76,Reactive local challenge,Port Jefferybury,1,Australia,2016-03-07 01:40:15,1
+74.53,30,68862.0,221.51,Configurable coherent function,West Colin,1,Grenada,2016-04-18 09:33:42,0
+69.88,20,55642.32,183.82,Mandatory homogeneous architecture,Ramirezton,1,Ghana,2016-07-11 01:42:51,0
+47.64,49,45632.51,122.02,Centralized neutral neural-net,West Brandonton,0,Qatar,2016-03-16 20:19:01,1
+83.07,37,62491.01,230.87,Team-oriented grid-enabled Local Area Network,East Theresashire,1,Burundi,2016-05-08 08:10:10,0
+69.57,48,51636.92,113.12,Centralized content-based focus group,West Katiefurt,1,Egypt,2016-06-03 01:14:41,1
+79.52,24,51739.63,214.23,Synergistic fresh-thinking array,North Tara,0,Bosnia and Herzegovina,2016-04-20 21:49:22,0
+42.95,33,30976.0,143.56,Grass-roots coherent extranet,West William,0,Barbados,2016-03-24 09:31:49,1
+63.45,23,52182.23,140.64,Persistent demand-driven interface,New Travistown,1,Spain,2016-03-09 03:41:30,1
+55.39,37,23936.86,129.41,Customizable multi-tasking website,West Dylanberg,0,Palestinian Territory,2016-01-30 19:20:41,1
+82.03,41,71511.08,187.53,Intuitive dynamic attitude,Pruittmouth,0,Afghanistan,2016-05-02 07:00:58,0
+54.7,36,31087.54,118.39,Grass-roots solution-oriented conglomeration,Jessicastad,1,British Indian Ocean Territory (Chagos Archipelago),2016-02-13 07:53:55,1
+74.58,40,23821.72,135.51,Advanced 24/7 productivity,Millertown,1,Russian Federation,2016-02-27 04:43:07,1
+77.22,30,64802.33,224.44,Object-based reciprocal knowledgebase,Port Jacqueline,1,Cameroon,2016-01-05 07:52:48,0
+84.59,35,60015.57,226.54,Streamlined non-volatile analyzer,Lake Nicole,1,Cameroon,2016-03-18 13:22:35,0
+41.49,52,32635.7,164.83,Mandatory disintermediate utilization,South John,0,Burundi,2016-05-20 08:49:33,1
+87.29,36,61628.72,209.93,Future-proofed methodical protocol,Pamelamouth,1,Korea,2016-03-23 09:43:43,0
+41.39,41,68962.32,167.22,Exclusive neutral parallelism,Harperborough,0,Tokelau,2016-06-13 17:27:09,1
+78.74,28,64828.0,204.79,Public-key foreground groupware,Port Danielleberg,1,Monaco,2016-05-27 15:25:52,0
+48.53,28,38067.08,134.14,Ameliorated client-driven forecast,West Jeremyside,1,Tuvalu,2016-02-08 10:46:14,1
+51.95,52,58295.82,129.23,Monitored systematic hierarchy,South Cathyfurt,0,Greece,2016-07-19 08:32:10,1
+70.2,34,32708.94,119.2,Open-architected impactful productivity,Palmerside,0,British Virgin Islands,2016-04-14 05:08:35,1
+76.02,22,46179.97,209.82,Business-focused value-added definition,West Guybury,0,Bouvet Island (Bouvetoya),2016-01-27 12:38:16,0
+67.64,35,51473.28,267.01,Programmable asymmetric data-warehouse,Phelpschester,1,Peru,2016-07-02 20:23:15,0
+86.41,28,45593.93,207.48,Digitized static capability,Lake Melindamouth,1,Aruba,2016-03-01 22:13:37,0
+59.05,57,25583.29,169.23,Digitized global capability,North Richardburgh,1,Maldives,2016-07-15 05:05:14,1
+55.6,23,30227.98,212.58,Multi-layered 4thgeneration knowledge user,Port Cassie,0,Senegal,2016-01-14 14:00:09,1
+57.64,57,45580.92,133.81,Synchronized dedicated service-desk,New Thomas,1,Dominica,2016-03-15 03:12:25,1
+84.37,30,61389.5,201.58,Synchronized systemic hierarchy,Johnstad,0,Luxembourg,2016-04-12 03:26:39,0
+62.26,53,56770.79,125.45,Profound stable product,West Aprilport,1,Montenegro,2016-04-07 15:18:10,1
+65.82,39,76435.3,221.94,Reactive demand-driven capacity,Kellytown,0,Ukraine,2016-02-09 05:28:18,0
+50.43,46,57425.87,119.32,Persevering needs-based open architecture,Charlesport,1,Saint Helena,2016-05-07 17:11:49,1
+38.93,39,27508.41,162.08,Intuitive exuding service-desk,Millerchester,0,Liberia,2016-03-11 06:49:10,1
+84.98,29,57691.95,202.61,Innovative user-facing extranet,Mackenziemouth,0,Russian Federation,2016-04-27 09:27:58,0
+64.24,30,59784.18,252.36,Front-line intermediate database,Zacharystad,0,Tunisia,2016-04-16 11:53:43,0
+82.52,32,66572.39,198.11,Persevering exuding system engine,North Joshua,1,Turkmenistan,2016-05-08 15:38:46,0
+81.38,31,64929.61,212.3,Balanced dynamic application,Bowenview,0,Saint Helena,2016-02-08 00:23:38,0
+80.47,25,57519.64,204.86,Reduced global support,Jamesberg,0,Niger,2016-02-11 13:26:22,0
+37.68,52,53575.48,172.83,Organic leadingedge secured line,Lake Cassandraport,1,Turkmenistan,2016-02-17 13:16:33,1
+69.62,20,50983.75,202.25,Business-focused encompassing neural-net,New Sharon,1,Qatar,2016-02-26 22:46:43,0
+85.4,43,67058.72,198.72,Triple-buffered demand-driven alliance,Johnport,0,Sri Lanka,2016-06-08 18:54:01,0
+44.33,37,52723.34,123.72,Visionary maximized process improvement,Hamiltonfort,1,Trinidad and Tobago,2016-01-08 09:32:26,1
+48.01,46,54286.1,119.93,Centralized 24/7 installation,West Christopher,0,Italy,2016-04-25 11:01:54,1
+73.18,23,61526.25,196.71,Organized static focus group,Hollandberg,1,British Virgin Islands,2016-04-04 07:07:46,0
+79.94,28,58526.04,225.29,Visionary reciprocal circuit,Odomville,0,United Kingdom,2016-05-03 21:19:58,0
+33.33,45,53350.11,193.58,Pre-emptive value-added workforce,East Samanthashire,1,Guinea-Bissau,2016-01-17 09:31:36,1
+50.33,50,62657.53,133.2,Sharable analyzing alliance,South Lauraton,1,Micronesia,2016-03-02 04:57:51,1
+62.31,47,62722.57,119.3,Team-oriented encompassing portal,Amandahaven,0,Turkey,2016-02-14 07:36:58,1
+80.6,31,67479.62,177.55,Sharable bottom-line solution,Thomasview,0,Croatia,2016-04-07 03:56:16,0
+65.19,36,75254.88,150.61,Cross-group regional website,Garciaside,0,Israel,2016-02-17 11:42:00,1
+44.98,49,52336.64,129.31,Organized global model,Port Sarahshire,0,Svalbard & Jan Mayen Islands,2016-04-10 00:13:47,1
+77.63,29,56113.37,239.22,Upgradable asynchronous circuit,Port Gregory,0,Azerbaijan,2016-02-14 17:05:15,0
+41.82,41,24852.9,156.36,Phased transitional instruction set,Brendachester,0,Iran,2016-05-26 22:49:47,1
+85.61,27,47708.42,183.43,Customer-focused empowering ability,Lake Amy,0,Burundi,2016-04-30 08:07:13,0
+85.84,34,64654.66,192.93,Front-line heuristic data-warehouse,Lake Annashire,1,Saint Vincent and the Grenadines,2016-06-15 05:30:13,0
+72.08,29,71228.44,169.5,Stand-alone national attitude,Smithburgh,0,Burundi,2016-03-09 14:45:33,0
+86.06,32,61601.05,178.92,Focused upward-trending core,North Leonmouth,1,Bulgaria,2016-03-31 20:55:22,0
+45.96,45,66281.46,141.22,Streamlined cohesive conglomeration,Robertfurt,0,Christmas Island,2016-06-03 00:55:23,1
+62.42,29,73910.9,198.5,Upgradable optimizing toolset,Jasminefort,1,Canada,2016-03-10 23:36:03,0
+63.89,40,51317.33,105.22,Synchronized user-facing core,Jensenborough,0,Rwanda,2016-01-08 00:17:27,1
+35.33,32,51510.18,200.22,Organized client-driven alliance,Bradleyburgh,0,Turks and Caicos Islands,2016-06-05 22:11:34,1
+75.74,25,61005.87,215.25,Ergonomic multi-state structure,New Sheila,1,Tunisia,2016-01-16 11:35:01,0
+78.53,34,32536.98,131.72,Synergized multimedia emulation,North Regina,0,Norfolk Island,2016-04-22 20:10:22,1
+46.13,31,60248.97,139.01,Customer-focused optimizing moderator,Davidmouth,0,Bouvet Island (Bouvetoya),2016-02-01 09:00:55,1
+69.01,46,74543.81,222.63,Advanced full-range migration,New Michaeltown,0,Turks and Caicos Islands,2016-07-07 13:37:34,0
+55.35,39,75509.61,153.17,De-engineered object-oriented protocol,East Tammie,1,Cook Islands,2016-03-08 00:37:54,1
+33.21,43,42650.32,167.07,Polarized clear-thinking budgetary management,Wilcoxport,1,Turkey,2016-05-10 17:39:06,1
+38.46,42,58183.04,145.98,Customizable 6thgeneration knowledge user,East Michaelmouth,1,Guatemala,2016-04-06 11:24:21,1
+64.1,22,60465.72,215.93,Seamless object-oriented structure,East Tiffanyport,0,Cote d'Ivoire,2016-04-01 16:21:05,0
+49.81,35,57009.76,120.06,Seamless real-time array,Ramirezhaven,1,Faroe Islands,2016-01-05 04:18:46,1
+82.73,33,54541.56,238.99,Grass-roots impactful system engine,Cranemouth,1,Qatar,2016-05-20 21:31:24,0
+56.14,38,32689.04,113.53,Devolved tangible approach,Lake Edward,1,Ireland,2016-02-03 07:59:16,1
+55.13,45,55605.92,111.71,Customizable executive software,Lake Conniefurt,0,Ukraine,2016-02-17 21:55:29,1
+78.11,27,63296.87,209.25,Progressive analyzing attitude,East Shawnchester,1,Moldova,2016-01-30 16:10:04,0
+73.46,28,65653.47,222.75,Innovative executive encoding,West Joseph,1,Nicaragua,2016-05-15 14:41:49,0
+56.64,38,61652.53,115.91,Down-sized uniform info-mediaries,Lake Christopherfurt,0,Montserrat,2016-01-05 17:56:52,1
+68.94,54,30726.26,138.71,Streamlined next generation implementation,East Tylershire,0,Timor-Leste,2016-04-19 07:34:28,1
+70.79,31,74535.94,184.1,Distributed tertiary system engine,Sharpberg,0,Bouvet Island (Bouvetoya),2016-03-15 15:49:14,0
+57.76,41,47861.93,105.15,Triple-buffered scalable groupware,Lake Dustin,0,Puerto Rico,2016-06-12 15:25:44,1
+77.51,36,73600.28,200.55,Total 5thgeneration encoding,North Kristine,0,Central African Republic,2016-07-01 04:41:57,0
+52.7,34,58543.94,118.6,Integrated human-resource encoding,Grahamberg,1,Venezuela,2016-05-08 12:12:04,1
+57.7,34,42696.67,109.07,Phased dynamic customer loyalty,New Tina,0,Australia,2016-03-14 23:13:11,1
+56.89,37,37334.78,109.29,Open-source coherent policy,Nelsonfurt,1,Wallis and Futuna,2016-05-25 00:19:57,1
+69.9,43,71392.53,138.35,Down-sized modular intranet,Christopherport,0,Jersey,2016-05-13 11:51:10,1
+55.79,24,59550.05,149.67,Pre-emptive content-based focus group,Port Sarahhaven,0,Puerto Rico,2016-02-20 20:47:05,1
+70.03,26,64264.25,227.72,Versatile 4thgeneration system engine,Bradleyborough,1,Samoa,2016-05-22 20:49:37,0
+50.08,40,64147.86,125.85,Ergonomic full-range time-frame,Whiteport,1,Greece,2016-04-10 02:02:36,1
+43.67,31,25686.34,166.29,Automated directional function,New Theresa,1,Antarctica (the territory South of 60 deg S),2016-02-28 06:41:44,1
+72.84,26,52968.22,238.63,Progressive empowering alliance,Wongland,0,Albania,2016-07-08 21:18:32,0
+45.72,36,22473.08,154.02,Versatile homogeneous capacity,Williammouth,1,Hong Kong,2016-04-19 15:14:58,1
+39.94,41,64927.19,156.3,Function-based optimizing protocol,Williamsborough,0,Lithuania,2016-01-08 22:47:10,1
+35.61,46,51868.85,158.22,Up-sized secondary software,North Michael,0,Egypt,2016-03-28 08:46:26,1
+79.71,34,69456.83,211.65,Seamless holistic time-frame,Benjaminchester,1,Bangladesh,2016-07-02 14:57:53,0
+41.49,53,31947.65,169.18,Persevering reciprocal firmware,Hernandezville,0,Western Sahara,2016-07-03 09:22:30,1
+63.6,23,51864.77,235.28,Centralized logistical secured line,Youngburgh,1,Serbia,2016-06-01 09:27:34,0
+89.91,40,59593.56,194.23,Innovative background conglomeration,Wallacechester,0,Maldives,2016-07-09 14:55:36,0
+68.18,21,48376.14,218.17,Switchable 3rdgeneration hub,Sanchezmouth,1,Czech Republic,2016-02-09 22:04:54,0
+66.49,20,56884.74,202.16,Polarized 6thgeneration info-mediaries,Bradshawborough,0,Guernsey,2016-06-10 11:31:33,0
+80.49,40,67186.54,229.12,Balanced heuristic approach,Amyhaven,1,Tanzania,2016-02-14 03:50:52,0
+72.23,25,46557.92,241.03,Focused 24hour implementation,Marcushaven,1,Bhutan,2016-07-05 17:17:49,0
+42.39,42,66541.05,150.99,De-engineered mobile infrastructure,Erinton,0,Christmas Island,2016-04-28 05:50:25,1
+47.53,30,33258.09,135.18,Customer-focused upward-trending contingency,Hughesport,0,Guinea,2016-04-03 05:10:31,1
+74.02,32,72272.9,210.54,Operative system-worthy protocol,Johnstad,0,Micronesia,2016-03-09 14:57:11,0
+66.63,60,60333.38,176.98,User-friendly upward-trending intranet,New Lucasburgh,0,Madagascar,2016-01-16 23:37:51,1
+63.24,53,65229.13,235.78,Future-proofed holistic superstructure,Michelleside,1,Lebanon,2016-07-03 04:33:41,1
+71.0,22,56067.38,211.87,Extended systemic policy,Andersonton,0,Eritrea,2016-03-14 06:46:14,0
+46.13,46,37838.72,123.64,Horizontal hybrid challenge,New Rachel,1,Guyana,2016-01-09 05:44:56,1
+69.0,32,72683.35,221.21,Virtual composite model,Port Susan,1,Trinidad and Tobago,2016-02-11 04:37:34,0
+76.99,31,56729.78,244.34,Switchable mobile framework,West Angelabury,1,Jersey,2016-06-22 07:33:21,0
+72.6,55,66815.54,162.95,Focused intangible moderator,Port Christopherborough,0,United Arab Emirates,2016-07-13 16:12:24,1
+61.88,42,60223.52,112.19,Balanced actuating moderator,Phillipsbury,1,Martinique,2016-07-23 11:46:28,1
+84.45,50,29727.79,207.18,Customer-focused transitional strategy,Millerside,0,Somalia,2016-07-13 04:10:53,1
+88.97,45,49269.98,152.49,Advanced web-enabled standardization,Lake Jessica,0,Bhutan,2016-06-11 18:32:12,1
+86.19,31,57669.41,210.26,Pre-emptive executive knowledgebase,Lopezmouth,1,Greece,2016-05-08 12:51:00,0
+49.58,26,56791.75,231.94,Self-enabling holistic process improvement,Johnsport,0,Benin,2016-04-07 16:02:02,0
+77.65,27,63274.88,212.79,Horizontal client-driven hierarchy,South Ronald,0,Papua New Guinea,2016-02-04 13:30:32,0
+37.75,36,35466.8,225.24,Polarized dynamic throughput,South Daniel,0,Uzbekistan,2016-02-26 19:48:23,1
+62.33,43,68787.09,127.11,Devolved zero administration intranet,Suzannetown,0,South Africa,2016-06-21 13:15:21,1
+79.57,31,61227.59,230.93,User-friendly asymmetric info-mediaries,Lisaberg,0,Egypt,2016-05-17 04:27:31,0
+80.31,44,56366.88,127.07,Cross-platform regional task-force,Brianfurt,0,Hungary,2016-04-18 15:54:33,1
+89.05,45,57868.44,206.98,Polarized bandwidth-monitored moratorium,Stewartbury,0,Falkland Islands (Malvinas),2016-04-03 10:07:56,0
+70.41,27,66618.21,223.03,Centralized systematic knowledgebase,Benjaminchester,0,Dominica,2016-04-04 21:30:46,0
+67.36,37,73104.47,233.56,Future-proofed grid-enabled implementation,North Wesleychester,0,Jersey,2016-07-06 16:00:33,0
+46.98,50,21644.91,175.37,Down-sized well-modulated archive,East Michelleberg,0,Lithuania,2016-05-04 09:00:24,1
+41.67,36,53817.02,132.55,Realigned zero tolerance emulation,Port Eric,0,Saint Martin,2016-06-13 18:50:00,1
+51.24,36,76368.31,176.73,Versatile transitional monitoring,Timothyfurt,0,Cuba,2016-01-03 16:01:40,1
+75.7,29,67633.44,215.44,Profound zero administration instruction set,Port Jeffrey,0,United States Minor Outlying Islands,2016-01-14 00:23:10,0
+43.49,47,50335.46,127.83,User-centric intangible task-force,Guzmanland,0,Belize,2016-01-12 10:07:29,1
+49.89,39,17709.98,160.03,Enhanced system-worthy application,East Michele,1,Belize,2016-04-16 12:09:25,1
+38.37,36,41229.16,140.46,Multi-layered user-facing paradigm,East John,0,Antarctica (the territory South of 60 deg S),2016-05-13 06:09:28,1
+38.52,38,42581.23,137.28,Customer-focused 24/7 concept,Lesliebury,1,Saint Vincent and the Grenadines,2016-03-27 23:59:06,1
+71.89,23,61617.98,172.81,Function-based transitional complexity,Patriciahaven,1,Kuwait,2016-02-03 23:47:56,0
+75.8,38,70575.6,146.19,Progressive clear-thinking open architecture,Ashleychester,1,Thailand,2016-04-18 11:23:05,0
+83.86,31,64122.36,190.25,Up-sized executive moderator,Lake Josetown,0,Gibraltar,2016-02-05 19:06:01,0
+37.51,30,52097.32,163.0,Re-contextualized optimal service-desk,Debraburgh,1,Holy See (Vatican City State),2016-03-21 18:46:41,1
+55.6,44,65953.76,124.38,Fully-configurable neutral open system,New Debbiestad,1,Korea,2016-06-14 11:59:58,1
+83.67,44,60192.72,234.26,Upgradable system-worthy array,West Shaun,1,Saint Helena,2016-02-06 23:08:57,0
+69.08,41,77460.07,210.6,Ergonomic client-driven application,Kimberlyhaven,0,Turks and Caicos Islands,2016-03-12 01:39:19,0
+37.47,44,45716.48,141.89,Realigned content-based leverage,Port Lawrence,1,Czech Republic,2016-01-26 03:56:18,1
+56.04,49,65120.86,128.95,Decentralized real-time circuit,West Ricardo,1,Netherlands,2016-02-07 08:02:31,1
+70.92,41,49995.63,108.16,Polarized modular function,Lake Jose,1,Belarus,2016-05-05 07:58:22,1
+49.78,46,71718.51,152.24,Enterprise-wide client-driven contingency,Heatherberg,0,Dominica,2016-06-29 02:43:29,1
+68.61,57,61770.34,150.29,Diverse modular interface,South George,0,South Africa,2016-04-10 19:48:01,1
+58.18,25,69112.84,176.28,Polarized analyzing concept,Tinachester,1,New Zealand,2016-02-10 06:37:56,0
+78.54,35,72524.86,172.1,Multi-channeled asynchronous open system,Port Jodi,0,Togo,2016-05-28 20:41:50,0
+37.0,48,36782.38,158.22,Function-based context-sensitive secured line,Jonathantown,1,Kenya,2016-03-24 06:36:52,1
+65.4,33,66699.12,247.31,Adaptive 24hour Graphic Interface,Sylviaview,0,Palau,2016-02-12 22:51:08,0
+79.52,27,64287.78,183.48,Automated coherent flexibility,East Timothyport,1,Timor-Leste,2016-06-10 10:11:00,0
+87.98,38,56637.59,222.11,Focused scalable complexity,West Roytown,1,Cambodia,2016-03-31 10:44:46,0
+44.64,36,55787.58,127.01,Up-sized incremental encryption,Codyburgh,0,Belize,2016-02-14 06:51:43,1
+41.73,28,61142.33,202.18,Sharable dedicated Graphic Interface,Port Erikhaven,1,Cuba,2016-01-07 19:16:05,1
+80.46,27,61625.87,207.96,Digitized zero administration paradigm,Port Chasemouth,1,Costa Rica,2016-02-04 02:13:52,0
+75.55,36,73234.87,159.24,Managed grid-enabled standardization,Ramirezside,0,Liechtenstein,2016-05-09 02:58:58,1
+76.32,35,74166.24,195.31,Networked foreground definition,East Michaeltown,1,Korea,2016-06-23 00:16:02,0
+82.68,33,62669.59,222.77,Re-engineered exuding frame,West Courtney,1,Ukraine,2016-06-20 09:35:02,0
+72.01,31,57756.89,251.0,Horizontal multi-state interface,West Michaelhaven,0,Angola,2016-02-29 12:31:57,0
+75.83,24,58019.64,162.44,Diverse stable circuit,Walshhaven,0,Nauru,2016-01-17 15:10:31,0
+41.28,50,50960.08,140.39,Universal 24/7 implementation,East Rachelview,0,Equatorial Guinea,2016-01-29 03:54:19,1
+34.66,32,48246.6,194.83,Customer-focused multi-tasking Internet solution,Curtisport,0,Mongolia,2016-07-14 12:07:10,1
+66.18,55,28271.84,143.42,Vision-oriented contextually-based extranet,Frankbury,0,Svalbard & Jan Mayen Islands,2016-01-10 23:14:30,1
+86.06,31,53767.12,219.72,Extended local methodology,Timothytown,1,Timor-Leste,2016-04-28 18:34:56,0
+59.59,42,43662.1,104.78,Re-engineered demand-driven capacity,Samanthaland,1,Brazil,2016-07-06 18:36:01,1
+86.69,34,62238.58,198.56,Customer-focused attitude-oriented instruction set,South Jennifer,0,Chad,2016-05-27 06:19:27,0
+43.77,52,49030.03,138.55,Synergized hybrid time-frame,Kyleborough,1,Portugal,2016-01-25 07:39:41,1
+71.84,47,76003.47,199.79,Advanced exuding conglomeration,North Randy,1,Malawi,2016-05-08 22:47:18,0
+80.23,31,68094.85,196.23,Secured clear-thinking middleware,South Daniellefort,0,Qatar,2016-03-19 14:23:45,0
+74.41,26,64395.85,163.05,Right-sized value-added initiative,Dianashire,0,Singapore,2016-07-23 04:37:05,0
+63.36,48,70053.27,137.43,Centralized tertiary pricing structure,East Eric,0,Guinea,2016-06-23 01:22:43,1
+71.74,35,72423.97,227.56,Multi-channeled reciprocal artificial intelligence,Hammondport,0,Kazakhstan,2016-07-19 18:06:22,0
+60.72,44,42995.8,105.69,Synergized context-sensitive database,Jacobstad,0,Kuwait,2016-02-28 18:52:44,1
+72.04,22,60309.58,199.43,Realigned systematic function,Hernandezfort,0,Rwanda,2016-02-10 06:52:07,0
+44.57,31,38349.78,133.17,Adaptive context-sensitive application,Joneston,1,China,2016-03-27 09:11:10,1
+85.86,34,63115.34,208.23,Networked high-level structure,New Jeffreychester,0,Bouvet Island (Bouvetoya),2016-05-23 02:15:04,0
+39.85,38,31343.39,145.96,Profit-focused dedicated utilization,East Stephen,0,Vietnam,2016-01-03 03:22:15,1
+84.53,27,40763.13,168.34,Stand-alone tangible moderator,Turnerchester,0,Guatemala,2016-01-04 21:48:38,1
+62.95,60,36752.24,157.04,Polarized tangible collaboration,Youngfort,0,Peru,2016-05-24 13:30:38,1
+67.58,41,65044.59,255.61,Focused high-level conglomeration,Ingramberg,1,Mayotte,2016-02-01 19:42:40,0
+85.56,29,53673.08,210.46,Advanced modular Local Area Network,South Denisefurt,0,Samoa,2016-06-05 13:16:24,0
+46.88,54,43444.86,136.64,Virtual scalable secured line,Port Melissaberg,0,Singapore,2016-02-04 08:53:37,1
+46.31,57,44248.52,153.98,Front-line fault-tolerant intranet,Bernardton,1,Jamaica,2016-03-24 13:37:53,1
+77.95,31,62572.88,233.65,Inverse asymmetric instruction set,Port Mathew,1,Bahamas,2016-06-02 21:02:22,0
+84.73,30,39840.55,153.76,Synchronized leadingedge help-desk,Aliciatown,0,Canada,2016-02-21 07:42:48,1
+39.86,36,32593.59,145.85,Total 5thgeneration standardization,Josephstad,0,Algeria,2016-06-26 17:16:26,1
+50.08,30,41629.86,123.91,Sharable grid-enabled matrix,West Ericfurt,0,Fiji,2016-01-03 05:34:33,1
+60.23,35,43313.73,106.86,Balanced asynchronous hierarchy,New Brendafurt,0,Kenya,2016-03-08 18:00:43,1
+60.7,49,42993.48,110.57,Monitored object-oriented Graphic Interface,Port Julie,1,Argentina,2016-06-19 03:19:44,1
+43.67,53,46004.31,143.79,Cloned analyzing artificial intelligence,South Tiffanyton,1,Bouvet Island (Bouvetoya),2016-07-21 21:16:35,1
+77.2,33,49325.48,254.05,Persistent homogeneous framework,North Elizabeth,1,Philippines,2016-02-12 20:36:40,0
+71.86,32,51633.34,116.53,Face-to-face even-keeled website,Kentmouth,0,Senegal,2016-05-17 06:14:20,1
+44.78,45,63363.04,137.24,Extended context-sensitive monitoring,West Casey,1,Suriname,2016-07-09 11:04:54,1
+78.57,36,64045.93,239.32,Exclusive client-driven model,East Henry,1,Liberia,2016-03-27 02:35:29,0
+73.41,31,73049.3,201.26,Profound executive flexibility,Hollyfurt,1,Guam,2016-01-16 08:01:40,0
+77.05,27,66624.6,191.14,Reduced bi-directional strategy,North Anna,0,United Arab Emirates,2016-01-21 23:48:29,0
+66.4,40,77567.85,214.42,Digitized heuristic solution,Port Destiny,0,Antigua and Barbuda,2016-06-05 00:29:13,0
+69.35,29,53431.35,252.77,Seamless 4thgeneration contingency,Ianmouth,1,Argentina,2016-02-13 15:37:36,0
+35.65,40,31265.75,172.58,Seamless intangible secured line,North Johntown,1,Georgia,2016-05-10 07:22:37,1
+70.04,31,74780.74,183.85,Intuitive radical forecast,Hannahside,1,Jordan,2016-03-27 03:59:26,0
+69.78,29,70410.11,218.79,Multi-layered non-volatile Graphical User Interface,Wilsonburgh,0,Saudi Arabia,2016-05-24 18:35:58,0
+58.22,29,37345.24,120.9,User-friendly client-server instruction set,North Russellborough,0,South Africa,2016-02-11 02:40:02,1
+76.9,28,66107.84,212.67,Synchronized multimedia model,Murphymouth,0,Croatia,2016-04-22 08:31:24,0
+84.08,30,62336.39,187.36,Face-to-face intermediate approach,Carterburgh,1,Fiji,2016-01-13 02:58:27,0
+59.51,58,39132.64,140.83,Assimilated fault-tolerant hub,Penatown,0,Australia,2016-06-16 02:01:24,1
+40.15,38,38745.29,134.88,Exclusive disintermediate task-force,Joechester,1,Sao Tome and Principe,2016-06-27 18:37:04,1
+76.81,28,65172.22,217.85,Managed zero tolerance concept,East Paul,1,Fiji,2016-07-03 12:57:03,0
+41.89,38,68519.96,163.38,Compatible systemic function,Hartmanchester,0,Cyprus,2016-02-03 04:21:14,1
+76.87,27,54774.77,235.35,Configurable fault-tolerant monitoring,Mcdonaldfort,1,Kyrgyz Republic,2016-05-29 21:17:10,0
+67.28,43,76246.96,155.8,Future-proofed coherent hardware,North Mercedes,1,Pakistan,2016-04-03 21:13:46,1
+81.98,40,65461.92,229.22,Ameliorated upward-trending definition,Taylorberg,0,Seychelles,2016-04-15 11:51:14,0
+66.01,23,34127.21,151.95,Front-line tangible alliance,Hansenmouth,0,Samoa,2016-06-21 03:14:41,1
+61.57,53,35253.98,125.94,Progressive 24hour forecast,Bradyfurt,1,Bulgaria,2016-03-14 14:13:05,1
+53.3,34,44893.71,111.94,Self-enabling optimal initiative,West Jessicahaven,0,Mauritania,2016-05-06 21:07:31,1
+34.87,40,59621.02,200.23,Configurable logistical Graphical User Interface,Davilachester,0,Czech Republic,2016-06-12 17:52:43,1
+43.6,38,20856.54,170.49,Virtual bandwidth-monitored initiative,North Ricardotown,0,Chile,2016-01-11 07:36:22,1
+77.88,37,55353.41,254.57,Multi-tiered human-resource structure,Melissafurt,0,Poland,2016-07-02 00:24:22,0
+75.83,27,67516.07,200.59,Managed upward-trending instruction set,East Brianberg,0,Estonia,2016-03-04 10:13:48,0
+49.95,39,68737.75,136.59,Cloned object-oriented benchmark,Millerbury,0,Turkmenistan,2016-03-24 09:12:52,1
+60.94,41,76893.84,154.97,Fundamental fault-tolerant neural-net,Garciaview,0,Latvia,2016-02-14 07:30:24,1
+89.15,42,59886.58,171.07,Phased zero administration success,Townsendfurt,0,Fiji,2016-04-25 07:30:21,0
+78.7,30,53441.69,133.99,Compatible intangible customer loyalty,Williamstad,0,Turkey,2016-02-10 19:20:51,1
+57.35,29,41356.31,119.84,Distributed 3rdgeneration definition,West Connor,0,Kazakhstan,2016-04-23 14:34:38,1
+34.86,38,49942.66,154.75,Pre-emptive cohesive budgetary management,West Justin,0,Bahrain,2016-06-18 17:56:32,1
+70.68,31,74430.08,199.08,Configurable multi-state utilization,Robertbury,0,Colombia,2016-07-17 01:58:53,0
+76.06,23,58633.63,201.04,Diverse multi-tasking parallelism,New Tinamouth,0,Brunei Darussalam,2016-04-27 04:28:17,0
+66.67,33,72707.87,228.03,Horizontal content-based synergy,Turnerview,1,Taiwan,2016-04-21 20:29:35,0
+46.77,32,31092.93,136.4,Multi-tiered maximized archive,Reneechester,1,Serbia,2016-03-23 06:00:15,1
+62.42,38,74445.18,143.94,Diverse executive groupware,West Tinashire,0,Saint Pierre and Miquelon,2016-07-19 07:59:18,1
+78.32,28,49309.14,239.52,Synergized cohesive array,Jamesfurt,0,Australia,2016-06-26 11:52:18,1
+37.32,50,56735.14,199.25,Versatile dedicated software,New Nancy,1,Chad,2016-03-30 23:40:52,1
+40.42,45,40183.75,133.9,Stand-alone reciprocal synergy,Lisamouth,1,Norway,2016-03-16 07:59:37,1
+76.77,36,58348.41,123.51,Universal even-keeled analyzer,Harveyport,0,Turks and Caicos Islands,2016-05-04 00:01:33,1
+65.65,30,72209.99,158.05,Up-sized tertiary contingency,Ramosstad,0,Finland,2016-07-02 21:22:23,0
+74.32,33,62060.11,128.17,Monitored real-time superstructure,North Kevinside,0,South Africa,2016-05-23 21:14:38,1
+73.27,32,67113.46,234.75,Streamlined analyzing initiative,Haleview,1,Martinique,2016-01-29 20:16:54,0
+80.03,44,24030.06,150.84,Automated static concept,Christinetown,0,Afghanistan,2016-07-23 14:47:23,1
+53.68,47,56180.93,115.26,Operative stable moderator,New Michael,1,Micronesia,2016-02-16 09:11:27,1
+85.84,32,62204.93,192.85,Up-sized 6thgeneration moratorium,Jonesland,1,French Southern Territories,2016-06-09 21:43:05,0
+85.03,30,60372.64,204.52,Expanded clear-thinking core,North Shannon,0,Philippines,2016-06-19 09:24:35,0
+70.44,24,65280.16,178.75,Polarized attitude-oriented superstructure,New Sonialand,1,Algeria,2016-06-06 21:26:51,0
+81.22,53,34309.24,223.09,Networked coherent interface,Port Jason,1,San Marino,2016-01-07 13:25:21,0
+39.96,45,59610.81,146.13,Enhanced homogeneous moderator,East Barbara,1,Guernsey,2016-04-15 06:08:35,1
+57.05,41,50278.89,269.96,Seamless full-range website,Port Erinberg,1,Sierra Leone,2016-01-09 03:45:19,1
+42.44,56,43450.11,168.27,Profit-focused attitude-oriented task-force,Petersonfurt,0,Tajikistan,2016-02-10 15:23:17,1
+62.2,25,25408.21,161.16,Cross-platform multimedia algorithm,New Lindaberg,0,Liechtenstein,2016-04-24 13:42:15,1
+76.7,36,71136.49,222.25,Open-source coherent monitoring,West Russell,0,Ecuador,2016-06-12 05:31:19,0
+61.22,45,63883.81,119.03,Streamlined logistical secured line,South Adam,1,Switzerland,2016-01-05 09:42:22,1
+84.54,33,64902.47,204.02,Synchronized stable complexity,North Tracyport,1,Moldova,2016-03-02 10:07:43,0
+46.08,30,66784.81,164.63,Synergistic value-added extranet,Brownport,1,Finland,2016-07-21 10:54:35,1
+56.7,48,62784.85,123.13,Progressive non-volatile neural-net,Port Crystal,0,France,2016-01-09 04:53:22,1
+81.03,28,63727.5,201.15,Persevering tertiary capability,Masonhaven,0,Venezuela,2016-01-06 13:20:01,0
+80.91,32,61608.23,231.42,Enterprise-wide bi-directional secured line,Derrickhaven,0,Cuba,2016-01-31 04:10:20,0
+40.06,38,56782.18,138.68,Organized contextually-based customer loyalty,Olsonstad,1,Peru,2016-06-11 08:38:16,1
+83.47,39,64447.77,226.11,Total directional approach,New Brandy,0,Turkey,2016-05-15 20:48:40,0
+73.84,31,42042.95,121.05,Programmable uniform productivity,South Jasminebury,0,Albania,2016-06-18 17:23:26,1
+74.65,28,67669.06,212.56,Robust transitional ability,East Timothy,0,French Southern Territories,2016-03-17 05:00:12,0
+60.25,35,54875.95,109.77,De-engineered fault-tolerant database,Charlottefort,0,Papua New Guinea,2016-06-29 13:35:05,1
+59.21,35,73347.67,144.62,Managed disintermediate matrices,Lake Beckyburgh,1,Liechtenstein,2016-02-02 08:55:26,1
+43.02,44,50199.77,125.22,Configurable bottom-line application,West Lindseybury,0,Thailand,2016-04-13 05:42:52,1
+84.04,38,50723.67,244.55,Self-enabling didactic pricing structure,West Alyssa,0,Malaysia,2016-07-20 09:27:24,0
+70.66,43,63450.96,120.95,Versatile scalable encryption,Lake Craigview,1,Mauritius,2016-02-26 04:57:14,1
+70.58,26,56694.12,136.94,Proactive next generation knowledge user,Lake David,0,Algeria,2016-02-26 09:18:48,1
+72.44,34,70547.16,230.14,Customizable tangible hierarchy,Bruceburgh,0,Christmas Island,2016-04-15 14:45:48,0
+40.17,26,47391.95,171.31,Visionary asymmetric encryption,South Lauratown,1,Japan,2016-02-01 14:37:34,1
+79.15,26,62312.23,203.23,Intuitive explicit conglomeration,Port Robin,0,Greenland,2016-01-20 19:09:37,0
+44.49,53,63100.13,168.0,Business-focused real-time toolset,Jacksonburgh,1,Sao Tome and Principe,2016-04-23 06:28:43,1
+73.04,37,73687.5,221.79,Organic contextually-based focus group,Erinmouth,1,Senegal,2016-06-19 22:26:16,0
+76.28,33,52686.47,254.34,Right-sized asynchronous website,Port Aliciabury,0,Guadeloupe,2016-02-15 07:55:10,0
+68.88,37,78119.5,179.58,Advanced 5thgeneration capability,Port Whitneyhaven,0,Belgium,2016-02-09 19:37:52,0
+73.1,28,57014.84,242.37,Universal asymmetric archive,Jeffreyshire,0,Israel,2016-01-25 07:52:53,0
+47.66,29,27086.4,156.54,Devolved responsive structure,Tinaton,0,Honduras,2016-07-18 11:33:31,1
+87.3,35,58337.18,216.87,Triple-buffered regional toolset,North Loriburgh,0,Estonia,2016-01-09 07:28:16,0
+89.34,32,50216.01,177.78,Object-based executive productivity,Wendyton,1,Paraguay,2016-03-21 21:15:54,0
+81.37,26,53049.44,156.48,Business-focused responsive website,Lake Jacqueline,1,Kyrgyz Republic,2016-02-15 12:25:28,0
+81.67,28,62927.96,196.76,Visionary analyzing structure,North Christopher,1,Mauritania,2016-03-04 08:48:29,0
+46.37,52,32847.53,144.27,De-engineered solution-oriented open architecture,Alexanderfurt,0,French Guiana,2016-01-05 00:02:53,1
+54.88,24,32006.82,148.61,Customizable modular Internet solution,West Pamela,0,Northern Mariana Islands,2016-05-15 01:03:06,1
+40.67,35,48913.07,133.18,Stand-alone encompassing throughput,West Amanda,0,Lebanon,2016-05-05 09:28:36,1
+71.76,35,69285.69,237.39,Customizable zero-defect matrix,South Tomside,0,Saint Pierre and Miquelon,2016-05-26 13:18:30,0
+47.51,51,53700.57,130.41,Managed well-modulated collaboration,Bethburgh,1,American Samoa,2016-05-21 01:36:16,1
+75.15,22,52011.0,212.87,Universal global intranet,Jamiefort,1,Austria,2016-05-04 12:06:18,0
+56.01,26,46339.25,127.26,Re-engineered real-time success,Garciamouth,0,Tonga,2016-07-05 18:59:45,1
+82.87,37,67938.77,213.36,Front-line fresh-thinking open system,West Brenda,0,Tonga,2016-06-28 20:13:41,0
+45.05,42,66348.95,141.36,Digitized contextually-based product,South Kyle,0,French Southern Territories,2016-05-05 11:09:29,1
+60.53,24,66873.9,167.22,Organic interactive support,Combsstad,0,Serbia,2016-03-25 15:17:39,1
+50.52,31,72270.88,171.62,Function-based stable alliance,Lake Allenville,0,New Caledonia,2016-01-23 15:02:13,1
+84.71,32,61610.05,210.23,Reactive responsive emulation,Greenechester,0,Taiwan,2016-05-29 07:29:27,0
+55.2,39,76560.59,159.46,Exclusive zero tolerance alliance,Jordantown,1,United States of America,2016-05-30 07:36:31,1
+81.61,33,62667.51,228.76,Enterprise-wide local matrices,Gravesport,0,Morocco,2016-04-17 15:46:03,0
+71.55,36,75687.46,163.99,Inverse next generation moratorium,South Troy,1,Suriname,2016-07-20 23:08:28,0
+82.4,36,66744.65,218.97,Implemented bifurcated workforce,Lake Patrick,1,Macedonia,2016-06-29 03:07:51,0
+73.95,35,67714.82,238.58,Persevering even-keeled help-desk,Millerland,0,Wallis and Futuna,2016-04-10 14:48:35,0
+72.07,31,69710.51,226.45,Grass-roots eco-centric instruction set,Port Jessicamouth,0,Chile,2016-04-16 16:38:35,0
+80.39,31,66269.49,214.74,Fully-configurable incremental Graphical User Interface,Paulport,0,Gabon,2016-05-03 08:21:23,0
+65.8,25,60843.32,231.49,Expanded radical software,Clineshire,1,Gabon,2016-03-18 16:04:59,0
+69.97,28,55041.6,250.0,Mandatory 3rdgeneration moderator,Cynthiaside,0,Holy See (Vatican City State),2016-05-22 00:01:58,0
+52.62,50,73863.25,176.52,Enterprise-wide foreground emulation,Port Juan,0,Seychelles,2016-02-01 20:30:35,1
+39.25,39,62378.05,152.36,Customer-focused incremental system engine,Michellefort,0,Mayotte,2016-01-23 17:39:06,1
+77.56,38,63336.85,130.83,Right-sized multi-tasking solution,Port Angelamouth,1,Uganda,2016-05-19 03:52:24,1
+33.52,43,42191.61,165.56,Vision-oriented optimizing middleware,Jessicahaven,0,Cambodia,2016-05-09 21:54:38,1
+79.81,24,56194.56,178.85,Proactive context-sensitive project,North Daniel,1,Antigua and Barbuda,2016-05-31 11:44:45,1
+84.79,33,61771.9,214.53,Managed eco-centric encoding,New Juan,0,Cameroon,2016-03-30 19:09:50,0
+82.7,35,61383.79,231.07,Visionary multi-tasking alliance,Amyfurt,0,Somalia,2016-01-09 15:49:28,0
+84.88,32,63924.82,186.48,Ameliorated tangible hierarchy,Harrishaven,0,Lebanon,2016-04-18 03:41:56,0
+54.92,54,23975.35,161.16,Extended interactive model,Roberttown,0,Saint Pierre and Miquelon,2016-06-13 13:59:51,1
+76.56,34,70179.11,221.53,Universal bi-directional extranet,Jeremyshire,1,Dominica,2016-04-23 08:15:31,0
+69.74,49,66524.8,243.37,Enhanced maximized access,Birdshire,0,Hungary,2016-03-27 16:41:29,0
+75.55,22,41851.38,169.4,Upgradable even-keeled challenge,New Amanda,0,Taiwan,2016-02-19 07:29:30,1
+72.19,33,61275.18,250.35,Synchronized national infrastructure,Curtisview,1,Saint Lucia,2016-05-19 11:16:59,0
+84.29,41,60638.38,232.54,Re-contextualized systemic time-frame,Jacksonmouth,0,Niue,2016-01-27 20:47:57,0
+73.89,39,47160.53,110.68,Horizontal national architecture,North April,0,France,2016-04-20 00:41:53,1
+75.84,21,48537.18,186.98,Reactive bi-directional workforce,Hayesmouth,0,Cyprus,2016-02-07 07:41:06,0
+73.38,25,53058.91,236.19,Horizontal transitional challenge,South Corey,1,French Southern Territories,2016-04-21 09:30:35,0
+80.72,31,68614.98,186.37,Re-engineered neutral success,Juliaport,0,Costa Rica,2016-04-19 05:15:28,0
+62.06,44,44174.25,105.0,Adaptive contextually-based methodology,Port Paultown,0,Austria,2016-04-12 14:01:08,1
+51.5,34,67050.16,135.31,Configurable dynamic adapter,East Vincentstad,0,Zambia,2016-03-15 11:25:48,1
+90.97,37,54520.14,180.77,Multi-lateral empowering throughput,Kimberlytown,0,Congo,2016-02-16 18:21:36,0
+86.78,30,54952.42,170.13,Fundamental zero tolerance solution,New Steve,1,United States of America,2016-02-18 23:08:59,0
+66.18,35,69476.42,243.61,Proactive asymmetric definition,New Johnberg,0,Pitcairn Islands,2016-03-25 08:40:15,0
+84.33,41,54989.93,240.95,Pre-emptive zero tolerance Local Area Network,Shawstad,0,Belize,2016-03-16 00:28:10,0
+36.87,36,29398.61,195.91,Self-enabling incremental collaboration,New Rebecca,0,Anguilla,2016-01-28 11:50:40,1
+34.78,48,42861.42,208.21,Exclusive even-keeled moratorium,Jeffreyburgh,1,South Africa,2016-03-24 02:01:55,1
+76.84,32,65883.39,231.59,Reduced incremental productivity,Faithview,0,Singapore,2016-03-03 22:31:16,0
+67.05,25,65421.39,220.92,Realigned scalable standardization,Richardsontown,0,Finland,2016-02-26 09:54:33,0
+41.47,31,60953.93,219.79,Secured scalable Graphical User Interface,Port Brookeland,0,Martinique,2016-07-06 15:56:39,1
+80.71,26,58476.57,200.58,Team-oriented context-sensitive installation,East Christopherbury,0,Cameroon,2016-06-24 05:50:22,0
+80.09,31,66636.84,214.08,Pre-emptive systematic budgetary management,Port Christinemouth,0,Sweden,2016-05-23 21:00:45,0
+56.3,49,67430.96,135.24,Fully-configurable high-level implementation,South Meghan,1,New Caledonia,2016-02-03 19:12:51,1
+79.36,34,57260.41,245.78,Profound maximized workforce,Hessstad,1,Bosnia and Herzegovina,2016-04-28 22:54:37,0
+86.38,40,66359.32,188.27,Cross-platform 4thgeneration focus group,Rhondaborough,1,Singapore,2016-03-19 14:57:00,0
+38.94,41,57587.0,142.67,Optional mission-critical functionalities,Lewismouth,1,Falkland Islands (Malvinas),2016-07-15 09:08:42,1
+87.26,35,63060.55,184.03,Multi-layered tangible portal,New Paul,0,Bosnia and Herzegovina,2016-05-12 04:35:59,0
+75.32,28,59998.5,233.6,Reduced mobile structure,Lake Angela,1,Mauritius,2016-01-01 21:58:55,0
+74.38,40,74024.61,220.05,Enhanced zero tolerance Graphic Interface,East Graceland,1,Indonesia,2016-03-13 13:50:25,0
+65.9,22,60550.66,211.39,De-engineered tertiary secured line,Hartport,0,Czech Republic,2016-07-16 14:13:54,0
+36.31,47,57983.3,168.92,Reverse-engineered well-modulated capability,East Yvonnechester,0,Eritrea,2016-04-18 00:49:33,1
+72.23,48,52736.33,115.35,Integrated coherent pricing structure,Burgessside,0,Mexico,2016-07-17 01:13:56,1
+88.12,38,46653.75,230.91,Realigned next generation projection,Hurleyborough,0,Gibraltar,2016-02-17 07:05:57,0
+83.97,28,56986.73,205.5,Reactive needs-based instruction set,Garychester,1,Haiti,2016-06-16 02:33:22,0
+61.09,26,55336.18,131.68,User-friendly well-modulated leverage,East Kevinbury,1,Falkland Islands (Malvinas),2016-04-09 16:31:15,1
+65.77,21,42162.9,218.61,Function-based fault-tolerant model,Contrerasshire,1,Eritrea,2016-03-18 17:35:40,0
+81.58,25,39699.13,199.39,Decentralized needs-based analyzer,Erikville,0,Hong Kong,2016-05-11 22:02:17,0
+37.87,52,56394.82,188.56,Phased analyzing emulation,Robertsonburgh,1,Gambia,2016-05-25 20:10:02,1
+76.2,37,75044.35,178.51,Multi-layered fresh-thinking process improvement,Karenton,0,Barbados,2016-02-29 19:26:35,0
+60.91,19,53309.61,184.94,Upgradable directional system engine,Port Kathleenfort,0,Nauru,2016-06-09 14:24:06,1
+74.49,28,58996.12,237.34,Persevering eco-centric flexibility,Lake Adrian,0,Peru,2016-01-30 16:15:29,0
+73.71,23,56605.12,211.38,Inverse local hub,New Sheila,1,El Salvador,2016-02-15 05:35:54,0
+78.19,30,62475.99,228.81,Triple-buffered needs-based Local Area Network,Mollyport,0,Libyan Arab Jamahiriya,2016-01-31 06:14:10,0
+79.54,44,70492.6,217.68,Centralized multi-state hierarchy,Sandraland,1,Cambodia,2016-01-05 16:34:31,0
+74.87,52,43698.53,126.97,Public-key non-volatile implementation,Charlenetown,0,Saint Barthelemy,2016-05-31 02:17:18,1
+87.09,36,57737.51,221.98,Synergized coherent interface,Luischester,1,Reunion,2016-04-21 16:10:50,0
+37.45,47,31281.01,167.86,Horizontal high-level concept,South Johnnymouth,0,Antigua and Barbuda,2016-04-10 03:30:16,1
+49.84,39,45800.48,111.59,Reduced multimedia project,Hannaport,0,Samoa,2016-02-09 07:21:25,1
+51.38,59,42362.49,158.56,Object-based modular functionalities,East Anthony,0,Afghanistan,2016-06-17 17:11:16,1
+83.4,34,66691.23,207.87,Polarized multimedia system engine,West Daleborough,0,Azerbaijan,2016-05-22 21:54:23,0
+38.91,33,56369.74,150.8,Versatile reciprocal structure,Morrismouth,1,Philippines,2016-07-13 07:41:42,1
+62.14,41,59397.89,110.93,Upgradable multi-tasking initiative,North Andrewstad,1,Angola,2016-01-23 18:59:21,1
+79.72,28,66025.11,193.8,Configurable tertiary budgetary management,Wrightburgh,1,Albania,2016-05-20 12:17:59,0
+73.3,36,68211.35,135.72,Adaptive asynchronous attitude,West Tanya,1,Hungary,2016-01-30 04:38:41,1
+69.11,42,73608.99,231.48,Face-to-face mission-critical definition,Novaktown,1,Faroe Islands,2016-04-21 12:34:28,0
+71.9,54,61228.96,140.15,Inverse zero tolerance customer loyalty,Timothymouth,1,Czech Republic,2016-04-22 20:32:17,1
+72.45,29,72325.91,195.36,Centralized 24hour synergy,Robertmouth,1,Svalbard & Jan Mayen Islands,2016-01-11 06:02:27,0
+77.07,40,44559.43,261.02,Face-to-face analyzing encryption,Stephenborough,0,Afghanistan,2016-03-01 10:01:35,0
+74.62,36,73207.15,217.79,Self-enabling even-keeled methodology,Lake Kurtmouth,0,Rwanda,2016-04-04 08:19:54,0
+82.07,25,46722.07,205.38,Function-based optimizing extranet,Lauraburgh,1,Panama,2016-06-20 06:30:06,0
+58.6,50,45400.5,113.7,Organic asynchronous hierarchy,Rogerburgh,0,Samoa,2016-01-28 07:10:29,1
+36.08,45,41417.27,151.47,Automated client-driven orchestration,Davidside,1,United States Minor Outlying Islands,2016-07-03 04:11:40,1
+79.44,26,60845.55,206.79,Public-key zero-defect analyzer,West Thomas,0,Greece,2016-05-15 13:18:34,0
+41.73,47,60812.77,144.71,Proactive client-server productivity,Andersonchester,0,Cote d'Ivoire,2016-04-08 22:48:25,1
+73.19,25,64267.88,203.74,Cloned incremental matrices,North Ronaldshire,1,Pakistan,2016-01-19 12:18:13,0
+77.6,24,58151.87,197.33,Open-architected system-worthy task-force,Greghaven,1,Anguilla,2016-05-26 15:40:26,0
+89.0,37,52079.18,222.26,Devolved regional moderator,Jordanmouth,1,Cyprus,2016-01-26 15:56:55,0
+69.2,42,26023.99,123.8,Balanced value-added database,Meyersstad,0,Peru,2016-06-17 09:58:46,1
+67.56,31,62318.38,125.45,Seamless composite budgetary management,Michelleside,0,Kenya,2016-04-25 21:15:39,1
+81.11,39,56216.57,248.19,Total cohesive moratorium,South Robert,1,Chad,2016-07-13 11:41:29,0
+80.22,30,61806.31,224.58,Integrated motivating neural-net,New Tyler,0,Kyrgyz Republic,2016-07-05 15:14:10,0
+43.63,41,51662.24,123.25,Exclusive zero tolerance frame,Jordanshire,1,Albania,2016-03-15 14:06:17,1
+77.66,29,67080.94,168.15,Operative scalable emulation,Reyesland,0,Gabon,2016-06-19 22:08:15,0
+74.63,26,51975.41,235.99,Enhanced asymmetric installation,New Traceystad,1,Dominican Republic,2016-07-05 20:16:13,0
+49.67,27,28019.09,153.69,Face-to-face reciprocal methodology,Port Brian,0,Zimbabwe,2016-05-09 08:44:55,1
+80.59,37,67744.56,224.23,Robust responsive collaboration,Lake Courtney,0,Croatia,2016-07-21 23:14:35,0
+83.49,33,66574.0,190.75,Polarized logistical hub,Samuelborough,1,Cambodia,2016-06-03 17:32:47,0
+44.46,42,30487.48,132.66,Intuitive zero-defect framework,Christinehaven,1,Mongolia,2016-01-15 19:40:47,1
+68.1,40,74903.41,227.73,Reactive composite project,Thomasstad,1,Honduras,2016-02-05 16:50:58,0
+63.88,38,19991.72,136.85,Upgradable even-keeled hardware,Kristintown,0,Madagascar,2016-02-29 23:56:06,1
+78.83,36,66050.63,234.64,Future-proofed responsive matrix,New Wanda,1,Qatar,2016-05-08 12:08:26,0
+79.97,44,70449.04,216.0,Programmable empowering middleware,Mariebury,0,China,2016-07-13 01:48:46,0
+80.51,28,64008.55,200.28,Robust dedicated system engine,Christopherville,1,Bangladesh,2016-01-08 02:34:06,0
+62.26,26,70203.74,202.77,Public-key mission-critical core,New Jasmine,0,Swaziland,2016-06-08 12:25:49,0
+66.99,47,27262.51,124.44,Operative actuating installation,Lopezberg,1,Tanzania,2016-06-15 11:56:41,1
+71.05,20,49544.41,204.22,Self-enabling asynchronous knowledge user,Jenniferstad,1,Eritrea,2016-06-13 22:41:45,0
+42.05,51,28357.27,174.55,Configurable 24/7 hub,West Eduardotown,1,Canada,2016-06-20 14:20:52,1
+50.52,28,66929.03,219.69,Versatile responsive knowledge user,Davisfurt,0,Saint Kitts and Nevis,2016-04-03 06:17:22,1
+76.24,40,75524.78,198.32,Managed impactful definition,Bakerhaven,1,Burkina Faso,2016-05-31 23:42:26,0
+77.29,27,66265.34,201.24,Grass-roots 4thgeneration forecast,Paulshire,1,Tuvalu,2016-02-15 03:43:55,0
+35.98,47,55993.68,165.52,Focused 3rdgeneration pricing structure,West Jane,1,El Salvador,2016-03-10 23:26:54,1
+84.95,34,56379.3,230.36,Mandatory dedicated data-warehouse,Lake Brian,0,Madagascar,2016-02-26 17:01:01,0
+39.34,43,31215.88,148.93,Proactive radical support,Alvaradoport,0,Bangladesh,2016-04-17 21:39:11,1
+87.23,29,51015.11,202.12,Re-engineered responsive definition,Lake Kevin,0,American Samoa,2016-03-26 19:54:16,0
+57.24,52,46473.14,117.35,Profound optimizing utilization,Richardsonland,1,Latvia,2016-06-29 21:39:42,1
+81.58,41,55479.62,248.16,Cloned explicit middleware,East Sheriville,0,Moldova,2016-01-27 17:55:44,0
+56.34,50,68713.7,139.02,Multi-channeled mission-critical success,Port Michealburgh,1,Anguilla,2016-03-17 23:39:28,1
+48.73,27,34191.23,142.04,Versatile content-based protocol,Monicaview,0,Bangladesh,2016-07-09 16:23:33,1
+51.68,49,51067.54,258.62,Seamless cohesive conglomeration,Katieport,0,Faroe Islands,2016-06-28 12:51:02,1
+35.34,45,46693.76,152.86,De-engineered actuating hierarchy,East Brittanyville,0,Taiwan,2016-06-18 16:32:58,1
+48.09,33,19345.36,180.42,Balanced motivating help-desk,West Travismouth,0,Heard Island and McDonald Islands,2016-05-28 12:38:37,1
+78.68,29,66225.72,208.05,Inverse high-level capability,Leonchester,0,Israel,2016-01-16 16:40:30,0
+68.82,20,38609.2,205.64,Cross-platform client-server hierarchy,Ramirezland,1,Bolivia,2016-07-11 15:45:23,0
+56.99,40,37713.23,108.15,Sharable optimal capacity,Brownton,0,Bahamas,2016-07-16 23:08:54,1
+86.63,39,63764.28,209.64,Face-to-face multimedia success,New Jessicaport,1,Costa Rica,2016-04-06 21:20:07,0
+41.18,43,41866.55,129.25,Enterprise-wide incremental Internet solution,New Denisebury,1,Myanmar,2016-07-05 00:54:11,1
+71.03,32,57846.68,120.85,Advanced systemic productivity,Keithtown,0,Netherlands Antilles,2016-02-17 23:47:00,1
+72.92,29,69428.73,217.1,Customizable mission-critical adapter,Port Melissastad,1,Czech Republic,2016-03-15 17:33:15,0
+77.14,24,60283.98,184.88,Horizontal heuristic synergy,Janiceview,1,Iceland,2016-01-21 18:51:01,0
+60.7,43,79332.33,192.6,Multi-tiered multi-state moderator,Mataberg,1,Palau,2016-06-06 22:41:24,0
+34.3,41,53167.68,160.74,Re-contextualized reciprocal interface,West Melaniefurt,1,Libyan Arab Jamahiriya,2016-05-16 14:50:22,1
+83.71,45,64564.07,220.48,Organized demand-driven knowledgebase,Millerfort,1,Kazakhstan,2016-04-17 19:10:56,0
+53.38,35,60803.37,120.06,Total local synergy,Alexanderview,1,French Guiana,2016-03-30 01:05:34,1
+58.03,31,28387.42,129.33,User-friendly bandwidth-monitored attitude,South Jade,0,Tuvalu,2016-06-29 09:04:31,1
+43.59,36,58849.77,132.31,Re-engineered context-sensitive knowledge user,Lake Susan,1,Congo,2016-05-26 13:43:05,1
+60.07,42,65963.37,120.75,Total user-facing hierarchy,South Vincentchester,1,United Kingdom,2016-04-15 10:16:49,1
+54.43,37,75180.2,154.74,Balanced contextually-based pricing structure,Williamsmouth,1,Luxembourg,2016-05-31 09:06:29,1
+81.99,33,61270.14,230.9,Inverse bi-directional knowledge user,Taylorport,0,French Polynesia,2016-02-15 14:13:47,0
+60.53,29,56759.48,123.28,Networked even-keeled workforce,Williamsport,0,Papua New Guinea,2016-05-09 10:21:48,1
+84.69,31,46160.63,231.85,Right-sized transitional parallelism,Emilyfurt,1,Maldives,2016-07-07 23:32:38,0
+88.72,32,43870.51,211.87,Customer-focused system-worthy superstructure,East John,1,Zambia,2016-01-03 17:10:05,0
+88.89,35,50439.49,218.8,Balanced 4thgeneration success,East Deborahhaven,1,Cook Islands,2016-07-17 18:55:38,0
+69.58,43,28028.74,255.07,Cross-group value-added success,Port Katelynview,0,Congo,2016-04-04 18:36:59,1
+85.23,36,64238.71,212.92,Visionary client-driven installation,Paulhaven,1,Senegal,2016-02-27 12:34:19,0
+83.55,39,65816.38,221.18,Switchable well-modulated infrastructure,Elizabethmouth,1,Myanmar,2016-06-08 20:13:27,0
+56.66,42,72684.44,139.42,Upgradable asymmetric emulation,Lake Jesus,0,Dominican Republic,2016-02-20 10:52:51,1
+56.39,27,38817.4,248.12,Configurable tertiary capability,North Tylerland,1,Bahrain,2016-03-23 21:06:51,0
+76.24,27,63976.44,214.42,Monitored dynamic instruction set,Munozberg,0,Puerto Rico,2016-06-07 01:29:06,0
+57.64,36,37212.54,110.25,Robust web-enabled attitude,North Maryland,1,Chile,2016-01-18 15:18:01,1
+78.18,23,52691.79,167.67,Customer-focused full-range neural-net,West Barbara,0,Bolivia,2016-06-09 19:32:27,0
+46.04,32,65499.93,147.92,Universal transitional Graphical User Interface,Andrewborough,0,Serbia,2016-05-30 20:07:59,1
+79.4,35,63966.72,236.87,User-centric intangible contingency,New Gabriel,0,Malaysia,2016-04-01 09:21:14,0
+36.44,39,52400.88,147.64,Configurable disintermediate throughput,Port Patrickton,1,Estonia,2016-05-31 06:21:02,1
+53.14,38,49111.47,109.0,Automated web-enabled migration,West Julia,1,Greenland,2016-07-03 22:13:19,1
+32.84,40,41232.89,171.72,Triple-buffered 3rdgeneration migration,New Keithburgh,0,Trinidad and Tobago,2016-03-10 01:36:19,1
+73.72,32,52140.04,256.4,Universal contextually-based system engine,Richardsland,1,Thailand,2016-03-18 02:39:26,0
+38.1,34,60641.09,214.38,Optional secondary access,North Aaronchester,1,Philippines,2016-05-30 18:08:19,1
+73.93,44,74180.05,218.22,Quality-focused scalable utilization,Lake Matthewland,0,Niue,2016-02-20 00:06:20,0
+51.87,50,51869.87,119.65,Team-oriented dynamic forecast,Kevinberg,0,Afghanistan,2016-03-10 22:28:52,1
+77.69,22,48852.58,169.88,Horizontal heuristic support,Morganfort,1,Angola,2016-06-21 14:32:32,0
+43.41,28,59144.02,160.73,Customer-focused zero-defect process improvement,Lovemouth,0,Egypt,2016-02-05 15:26:37,1
+55.92,24,33951.63,145.08,Focused systemic benchmark,Taylorhaven,0,Fiji,2016-05-31 21:41:46,1
+80.67,34,58909.36,239.76,Seamless impactful info-mediaries,Jamesville,0,Portugal,2016-01-01 02:52:10,0
+83.42,25,49850.52,183.42,Advanced heuristic firmware,East Toddfort,1,Austria,2016-03-04 14:10:12,0
+82.12,52,28679.93,201.15,Fully-configurable client-driven customer loyalty,East Dana,1,Germany,2016-02-03 10:40:27,1
+66.17,33,69869.66,238.45,Cross-group neutral synergy,West Lucas,0,Panama,2016-01-20 00:26:15,0
+43.01,35,48347.64,127.37,Organized 24/7 middleware,Butlerfort,0,United States of America,2016-06-11 09:37:52,1
+80.05,25,45959.86,219.94,Networked stable open architecture,Lindaside,1,Christmas Island,2016-03-08 05:48:20,0
+64.88,42,70005.51,129.8,Customizable systematic service-desk,West Chloeborough,1,Equatorial Guinea,2016-02-14 22:23:30,1
+79.82,26,51512.66,223.28,Function-based directional productivity,Jayville,1,Micronesia,2016-07-17 22:04:54,0
+48.03,40,25598.75,134.6,Networked stable array,East Lindsey,1,Malta,2016-06-02 22:16:08,1
+32.99,45,49282.87,177.46,Phased full-range hardware,Masseyshire,0,Ecuador,2016-04-30 19:42:04,1
+74.88,27,67240.25,175.17,Organized empowering policy,Sarahton,1,Sudan,2016-04-17 06:58:18,0
+36.49,52,42136.33,196.61,Object-based system-worthy superstructure,Ryanhaven,1,Lao People's Democratic Republic,2016-03-09 00:41:46,1
+88.04,45,62589.84,191.17,Profound explicit hardware,Lake Deborahburgh,1,Saint Vincent and the Grenadines,2016-03-07 20:02:51,0
+45.7,33,67384.31,151.12,Self-enabling multimedia system engine,New Williammouth,1,Switzerland,2016-05-26 10:33:00,1
+82.38,35,25603.93,159.6,Polarized analyzing intranet,Port Blake,0,Spain,2016-07-18 01:36:37,1
+52.68,23,39616.0,149.2,Vision-oriented attitude-oriented Internet solution,West Richard,1,Turks and Caicos Islands,2016-07-16 05:56:42,1
+65.59,47,28265.81,121.81,Digitized disintermediate ability,Brandymouth,0,Indonesia,2016-03-22 06:41:38,1
+65.65,25,63879.72,224.92,Intuitive explicit firmware,Sandraville,1,Cook Islands,2016-06-03 06:34:44,0
+43.84,36,70592.81,167.42,Public-key real-time definition,Port Jessica,0,Australia,2016-06-28 09:19:06,1
+67.69,37,76408.19,216.57,Monitored content-based implementation,Lake Jasonchester,0,Finland,2016-07-18 18:33:05,0
+78.37,24,55015.08,207.27,Quality-focused zero-defect budgetary management,Pearsonfort,0,Pakistan,2016-01-23 04:47:37,0
+81.46,29,51636.12,231.54,Intuitive fresh-thinking moderator,Sellerstown,0,Ireland,2016-02-29 11:00:06,0
+47.48,31,29359.2,141.34,Reverse-engineered 24hour hardware,Yuton,0,Eritrea,2016-06-30 00:19:33,1
+75.15,33,71296.67,219.49,Synchronized zero tolerance product,Smithtown,1,France,2016-06-19 18:19:38,0
+78.76,24,46422.76,219.98,Reactive interactive protocol,Joanntown,1,Austria,2016-01-08 08:08:47,0
+44.96,50,52802.0,132.71,Focused fresh-thinking Graphic Interface,South Peter,1,Heard Island and McDonald Islands,2016-01-02 12:25:36,1
+39.56,41,59243.46,143.13,Ameliorated exuding solution,Port Mitchell,1,Western Sahara,2016-05-13 11:57:12,1
+39.76,28,35350.55,196.83,Integrated maximized service-desk,Pottermouth,1,Liberia,2016-02-08 14:02:22,1
+57.11,22,59677.64,207.17,Self-enabling tertiary challenge,Lake Jonathanview,1,Dominican Republic,2016-06-07 23:46:51,0
+83.26,40,70225.6,187.76,Decentralized foreground infrastructure,Alanview,1,Tonga,2016-01-02 14:36:03,0
+69.42,25,65791.17,213.38,Quality-focused hybrid frame,Carterport,0,Lao People's Democratic Republic,2016-02-13 04:16:08,0
+50.6,30,34191.13,129.88,Realigned reciprocal framework,New Daniellefort,1,United States of America,2016-05-03 12:57:19,1
+46.2,37,51315.38,119.3,Distributed maximized ability,Welchshire,0,Belgium,2016-04-03 11:38:36,1
+66.88,35,62790.96,119.47,Polarized bifurcated array,Russellville,1,Indonesia,2016-03-23 19:58:15,1
+83.97,40,66291.67,158.42,Progressive asynchronous adapter,West Lisa,1,Croatia,2016-02-02 11:49:18,0
+76.56,30,68030.18,213.75,Business-focused high-level hardware,Greentown,0,Brunei Darussalam,2016-03-08 10:39:16,0
+35.49,48,43974.49,159.77,Fully-configurable holistic throughput,Timothyport,0,American Samoa,2016-04-08 14:35:44,1
+80.29,31,49457.48,244.87,Ameliorated contextually-based collaboration,Teresahaven,1,Netherlands Antilles,2016-06-30 00:40:31,0
+50.19,40,33987.27,117.3,Progressive uniform budgetary management,Lake Stephenborough,0,Thailand,2016-03-25 19:02:35,1
+59.12,33,28210.03,124.54,Synergistic stable infrastructure,Silvaton,0,Greece,2016-05-12 21:32:06,1
+59.88,30,75535.14,193.63,Reverse-engineered content-based intranet,West Michaelstad,1,French Polynesia,2016-03-02 05:11:01,0
+59.7,28,49158.5,120.25,Expanded zero administration attitude,Florestown,0,Guernsey,2016-05-10 14:12:31,1
+67.8,30,39809.69,117.75,Team-oriented 6thgeneration extranet,New Jay,1,Isle of Man,2016-03-03 02:59:37,1
+81.59,35,65826.53,223.16,Managed disintermediate capability,North Lisachester,0,Holy See (Vatican City State),2016-07-04 11:03:49,0
+81.1,29,61172.07,216.49,Front-line dynamic model,Port Stacy,1,El Salvador,2016-07-08 03:47:41,0
+41.7,39,42898.21,126.95,Innovative regional structure,Jensenton,0,China,2016-05-27 05:35:27,1
+73.94,27,68333.01,173.49,Function-based incremental standardization,North Alexandra,0,Myanmar,2016-02-10 13:46:35,0
+58.35,37,70232.95,132.63,Universal asymmetric workforce,Rivasland,0,Macao,2016-06-12 21:21:53,1
+51.56,46,63102.19,124.85,Business-focused client-driven forecast,Helenborough,0,Australia,2016-01-07 13:58:51,1
+79.81,37,51847.26,253.17,Realigned global initiative,Garnerberg,0,United States Virgin Islands,2016-05-13 14:12:39,0
+66.17,26,63580.22,228.7,Business-focused maximized complexity,North Anaport,0,Mexico,2016-05-02 00:01:56,0
+58.21,37,47575.44,105.94,Open-source global strategy,Pattymouth,0,Djibouti,2016-02-07 17:06:35,1
+66.12,49,39031.89,113.8,Stand-alone motivating moratorium,South Alexisborough,0,Cote d'Ivoire,2016-02-15 07:27:41,1
+80.47,42,70505.06,215.18,Grass-roots multimedia policy,East Jennifer,1,Mali,2016-02-21 05:23:28,0
+77.05,31,62161.26,236.64,Upgradable local migration,Hallfort,0,Jamaica,2016-03-20 22:27:25,0
+49.99,41,61068.26,121.07,Profound bottom-line standardization,New Charleschester,0,Romania,2016-03-24 09:34:00,1
+80.3,58,49090.51,173.43,Managed client-server access,East Breannafurt,0,Cayman Islands,2016-04-04 20:01:12,1
+79.36,33,62330.75,234.72,Cross-platform directional intranet,East Susanland,1,Gambia,2016-01-02 04:50:44,0
+57.86,30,18819.34,166.86,Horizontal modular success,Estesfurt,0,Algeria,2016-07-08 17:14:01,1
+70.29,26,62053.37,231.37,Vision-oriented multi-tasking success,Shirleyfort,1,Puerto Rico,2016-03-28 19:48:37,0
+84.53,33,61922.06,215.18,Optional multi-state hardware,Douglasview,1,Norfolk Island,2016-07-11 09:32:53,0
+59.13,44,49525.37,106.04,Upgradable heuristic system engine,South Lisa,1,Turkey,2016-06-09 17:11:02,1
+81.51,41,53412.32,250.03,Future-proofed modular utilization,Kingshire,0,Guinea,2016-05-19 09:30:12,0
+42.94,37,56681.65,130.4,Synergistic dynamic orchestration,Rebeccamouth,1,Moldova,2016-04-12 12:35:39,1
+84.81,32,43299.63,233.93,Multi-layered stable encoding,Brownbury,1,Greece,2016-07-04 23:17:47,0
+82.79,34,47997.75,132.08,Team-oriented zero-defect initiative,South Aaron,0,American Samoa,2016-02-01 00:52:29,1
+59.22,55,39131.53,126.39,Polarized 5thgeneration matrix,North Andrew,1,Honduras,2016-01-13 02:39:00,1
+35.0,40,46033.73,151.25,Fully-configurable context-sensitive Graphic Interface,South Walter,1,Mongolia,2016-06-18 16:02:34,1
+46.61,42,65856.74,136.18,Progressive intermediate throughput,Catherinefort,0,Ethiopia,2016-01-01 20:17:49,1
+63.26,29,54787.37,120.46,Customizable holistic archive,East Donna,1,Ethiopia,2016-03-02 04:02:45,1
+79.16,32,69562.46,202.9,Compatible intermediate concept,East Timothy,1,Sri Lanka,2016-03-30 20:23:48,0
+67.94,43,68447.17,128.16,Assimilated next generation firmware,North Kimberly,0,Morocco,2016-05-01 00:23:13,1
+79.91,32,62772.42,230.18,Total zero administration software,South Stephanieport,1,United Arab Emirates,2016-06-17 03:02:55,0
+66.14,41,78092.95,165.27,Re-engineered impactful software,North Isabellaville,0,Western Sahara,2016-03-23 08:52:31,0
+43.65,39,63649.04,138.87,Business-focused background synergy,North Aaronburgh,0,Western Sahara,2016-05-08 22:24:27,1
+59.61,21,60637.62,198.45,Future-proofed coherent budgetary management,Port James,1,Cambodia,2016-04-06 05:55:43,0
+46.61,52,27241.11,156.99,Ergonomic methodical encoding,Danielview,0,New Zealand,2016-04-05 05:54:15,1
+89.37,34,42760.22,162.03,Compatible dedicated productivity,Port Stacey,1,Australia,2016-04-16 12:26:31,0
+65.1,49,59457.52,118.1,Up-sized real-time methodology,West Kevinfurt,1,Bulgaria,2016-06-01 03:44:42,1
+53.44,42,42907.89,108.17,Up-sized next generation architecture,Lake Jennifer,1,Libyan Arab Jamahiriya,2016-04-04 22:00:15,1
+79.53,51,46132.18,244.91,Managed 6thgeneration hierarchy,Reyesfurt,0,Barbados,2016-06-26 04:22:26,0
+91.43,39,46964.11,209.91,Organic motivating model,West Carmenfurt,1,French Polynesia,2016-07-07 03:55:01,0
+73.57,30,70377.23,212.38,Pre-emptive transitional protocol,North Stephanieberg,0,Uruguay,2016-03-20 08:22:50,0
+78.76,32,70012.83,208.02,Managed attitude-oriented Internet solution,East Valerie,1,Uruguay,2016-04-20 10:04:29,0
+76.49,23,56457.01,181.11,Public-key asynchronous matrix,Sherrishire,0,Brazil,2016-03-25 05:05:27,0
+61.72,26,67279.06,218.49,Grass-roots systematic hardware,Port Daniel,0,Venezuela,2016-02-14 07:15:37,0
+84.53,35,54773.99,236.29,User-centric composite contingency,Brownview,0,Myanmar,2016-03-26 00:32:02,0
+72.03,34,70783.94,230.95,Up-sized bi-directional infrastructure,Greerton,1,Malta,2016-07-05 22:33:48,0
+77.47,36,70510.59,222.91,Assimilated actuating policy,Hatfieldshire,1,Jamaica,2016-03-14 03:29:12,0
+75.65,39,64021.55,247.9,Organized upward-trending contingency,Brianabury,1,Bahrain,2016-05-30 02:34:25,0
+78.15,33,72042.85,194.37,Ergonomic neutral portal,New Maria,0,Algeria,2016-03-07 22:32:15,0
+63.8,38,36037.33,108.7,Adaptive demand-driven knowledgebase,Colebury,1,Tuvalu,2016-03-19 00:27:58,1
+76.59,29,67526.92,211.64,Reverse-engineered maximized focus group,Calebberg,0,Georgia,2016-06-18 05:17:33,0
+42.6,55,55121.65,168.29,Switchable analyzing encryption,Lake Ian,0,Cambodia,2016-07-11 18:12:43,1
+78.77,28,63497.62,211.83,Public-key intangible Graphical User Interface,Gomezport,0,Guam,2016-01-01 08:27:06,0
+83.4,39,60879.48,235.01,Advanced local task-force,Shaneland,0,Tanzania,2016-04-07 01:57:38,0
+79.53,33,61467.33,236.72,Profound well-modulated array,East Aaron,0,Indonesia,2016-02-28 22:02:14,0
+73.89,35,70495.64,229.99,Multi-channeled asymmetric installation,Dustinborough,1,Somalia,2016-06-26 17:25:55,0
+75.8,36,71222.4,224.9,Multi-layered fresh-thinking neural-net,East Michaelland,0,Belize,2016-01-21 04:30:43,0
+81.95,31,64698.58,208.76,Distributed cohesive migration,East Connie,1,Serbia,2016-05-01 21:46:37,0
+56.39,58,32252.38,154.23,Programmable uniform website,West Shannon,0,Australia,2016-02-14 10:06:49,1
+44.73,35,55316.97,127.56,Object-based neutral policy,North Lauraland,1,Guam,2016-01-27 18:25:42,1
+38.35,33,47447.89,145.48,Horizontal global leverage,Port Christopher,1,Christmas Island,2016-06-16 20:24:33,1
+72.53,37,73474.82,223.93,Synchronized grid-enabled moratorium,South Patrickfort,0,Papua New Guinea,2016-07-21 10:01:50,0
+56.2,49,53549.94,114.85,Adaptive uniform capability,East Georgeside,1,Bahamas,2016-04-21 18:31:27,1
+79.67,28,58576.12,226.79,Total grid-enabled application,Charlesbury,0,Comoros,2016-07-20 01:56:33,0
+75.42,26,63373.7,164.25,Optional regional throughput,Millertown,1,Western Sahara,2016-02-26 17:14:14,0
+78.64,31,60283.47,235.28,Integrated client-server definition,South Renee,1,Nicaragua,2016-01-16 17:56:05,0
+67.69,44,37345.34,109.22,Fundamental methodical support,South Jackieberg,0,Guam,2016-04-01 01:57:12,1
+38.35,41,34886.01,144.69,Synergistic reciprocal attitude,Loriville,1,Vanuatu,2016-06-24 08:42:20,1
+59.52,44,67511.86,251.08,Managed 5thgeneration time-frame,Amandaland,1,Bolivia,2016-05-27 18:45:35,0
+62.26,37,77988.71,166.19,Vision-oriented uniform knowledgebase,West Robertside,0,Malawi,2016-05-26 15:40:12,0
+64.75,36,63001.03,117.66,Multi-tiered stable leverage,North Sarashire,0,Venezuela,2016-04-06 01:19:08,1
+79.97,26,61747.98,185.45,Down-sized explicit budgetary management,Port Maria,1,Nepal,2016-01-08 19:38:45,0
+47.9,42,48467.68,114.53,Cross-group human-resource time-frame,East Jessefort,0,United Kingdom,2016-02-24 19:08:11,1
+80.38,30,55130.96,238.06,Business-focused holistic benchmark,Port Anthony,0,Albania,2016-03-10 07:07:31,0
+64.51,42,79484.8,190.71,Virtual 5thgeneration neural-net,Edwardmouth,1,Madagascar,2016-04-29 07:49:01,0
+71.28,37,67307.43,246.72,Distributed scalable orchestration,Dustinchester,1,Guyana,2016-04-10 16:08:09,0
+50.32,40,27964.6,125.65,Realigned intangible benchmark,Rochabury,0,Yemen,2016-04-27 18:25:30,1
+72.76,33,66431.87,240.63,Virtual impactful algorithm,Williamsport,1,India,2016-05-10 04:28:55,0
+72.8,35,63551.67,249.54,Public-key solution-oriented focus group,Austinland,0,Puerto Rico,2016-01-03 23:21:26,0
+74.59,23,40135.06,158.35,Phased clear-thinking encoding,Lake Gerald,1,United States Virgin Islands,2016-02-15 16:52:04,1
+46.66,45,49101.67,118.16,Grass-roots mission-critical emulation,Wrightview,0,Antigua and Barbuda,2016-03-09 02:07:17,1
+48.86,54,53188.69,134.46,Proactive encompassing paradigm,Perryburgh,0,French Guiana,2016-01-09 17:33:03,1
+37.05,39,49742.83,142.81,Automated object-oriented firmware,Tracyhaven,1,Antigua and Barbuda,2016-02-03 05:47:09,1
+81.21,36,63394.41,233.04,User-friendly content-based customer loyalty,South Jaimeview,0,Turkmenistan,2016-01-02 09:30:11,0
+66.89,23,64433.99,208.24,Universal incremental array,Sandersland,1,Honduras,2016-01-04 07:28:43,0
+68.11,38,73884.48,231.21,Reactive national success,South Meredithmouth,0,Seychelles,2016-01-07 21:21:50,0
+69.15,46,36424.94,112.72,Automated multi-state toolset,Richardsonshire,0,Cyprus,2016-07-24 00:22:16,1
+65.72,36,28275.48,120.12,Managed didactic flexibility,Kimberlymouth,0,Saint Pierre and Miquelon,2016-02-13 13:57:53,1
+40.04,27,48098.86,161.58,Cross-platform neutral system engine,Meghanchester,0,Poland,2016-05-08 10:25:08,1
+68.6,33,68448.94,135.08,Focused high-level frame,Tammyshire,0,Taiwan,2016-02-17 18:50:57,1
+56.16,25,66429.84,164.25,Seamless motivating approach,Millerbury,1,Cote d'Ivoire,2016-01-22 19:43:53,1
+78.6,46,41768.13,254.59,Enhanced systematic adapter,Lake Elizabethside,1,Micronesia,2016-07-20 13:21:37,0
+78.29,38,57844.96,252.07,Networked regional Local Area Network,Villanuevaton,0,Liberia,2016-01-05 20:58:42,0
+43.83,45,35684.82,129.01,Total human-resource flexibility,Greerport,0,Saudi Arabia,2016-01-29 05:39:16,1
+77.31,32,62792.43,238.1,Assimilated homogeneous service-desk,North Garyhaven,0,Nepal,2016-06-17 20:18:27,0
+39.86,28,51171.23,161.24,Ergonomic zero tolerance encoding,East Sharon,0,Ghana,2016-02-23 13:55:48,1
+66.77,25,58847.07,141.13,Cross-platform zero-defect structure,Johnstonmouth,0,Iran,2016-07-09 11:18:02,1
+57.2,42,57739.03,110.66,Innovative maximized groupware,East Heatherside,0,New Zealand,2016-03-19 11:09:36,1
+73.15,25,64631.22,211.12,Face-to-face executive encryption,Lake Patrick,1,Libyan Arab Jamahiriya,2016-01-29 07:14:04,0
+82.07,24,50337.93,193.97,Monitored local Internet solution,Richardsonmouth,0,Sri Lanka,2016-06-14 07:02:09,0
+49.84,38,67781.31,135.24,Phased hybrid superstructure,Jenniferhaven,1,United Arab Emirates,2016-05-18 03:19:03,1
+43.97,36,68863.95,156.97,User-friendly grid-enabled analyzer,Boyerberg,1,Indonesia,2016-01-30 09:54:03,1
+77.25,27,55901.12,231.38,Pre-emptive neutral contingency,Port Elijah,1,Saint Vincent and the Grenadines,2016-04-25 16:58:50,0
+74.84,37,64775.1,246.44,User-friendly impactful time-frame,Knappburgh,1,Mongolia,2016-01-14 16:30:38,0
+83.53,36,67686.16,204.56,Customizable methodical Graphical User Interface,New Dawnland,0,Honduras,2016-07-06 05:34:52,0
+38.63,48,57777.11,222.11,Cross-platform logistical pricing structure,Chapmanmouth,0,Papua New Guinea,2016-04-07 10:51:05,1
+84.0,48,46868.53,136.21,Inverse discrete extranet,Robertside,1,Kyrgyz Republic,2016-04-17 05:08:52,1
+52.13,50,40926.93,118.27,Open-source even-keeled database,West Raymondmouth,1,Ethiopia,2016-01-28 17:03:54,1
+71.83,40,22205.74,135.48,Diverse background ability,Costaburgh,1,Rwanda,2016-02-18 22:42:33,1
+78.36,24,58920.44,196.77,Multi-tiered foreground Graphic Interface,Kristineberg,1,Kyrgyz Republic,2016-06-24 21:09:58,0
+50.18,35,63006.14,127.82,Customizable hybrid system engine,Sandrashire,1,Grenada,2016-06-20 04:24:41,1
+64.67,51,24316.61,138.35,Horizontal incremental website,Andersonfurt,1,Togo,2016-02-14 16:33:29,1
+69.5,26,68348.99,203.84,Front-line systemic capability,Tranland,0,Pakistan,2016-02-27 13:51:44,0
+65.22,30,66263.37,240.09,Fully-configurable foreground solution,Michaelland,1,Falkland Islands (Malvinas),2016-05-07 15:16:07,0
+62.06,40,63493.6,116.27,Digitized radical array,East Rachaelfurt,1,Jersey,2016-03-16 20:10:53,1
+84.29,30,56984.09,160.33,Team-oriented transitional methodology,Lake Johnbury,1,Cayman Islands,2016-06-26 02:06:59,1
+32.91,37,51691.55,181.02,Future-proofed fresh-thinking conglomeration,Elizabethstad,0,South Africa,2016-07-17 14:26:04,1
+39.5,31,49911.25,148.19,Operative multi-tasking Graphic Interface,West Brad,1,Micronesia,2016-01-28 16:42:36,1
+75.19,31,33502.57,245.76,Implemented discrete frame,Johnstonshire,1,Tajikistan,2016-06-16 18:04:51,0
+76.21,31,65834.97,228.94,Ameliorated exuding encryption,Lake Timothy,1,Bolivia,2016-06-19 23:21:38,0
+67.76,31,66176.97,242.59,Programmable high-level benchmark,Anthonyfurt,0,Cameroon,2016-05-24 17:42:58,0
+40.01,53,51463.17,161.77,Sharable multimedia conglomeration,East Brettton,0,Ecuador,2016-03-01 22:06:37,1
+52.7,41,41059.64,109.34,Team-oriented high-level orchestration,New Matthew,1,Zambia,2016-01-31 08:50:38,1
+68.41,38,61428.18,259.76,Grass-roots empowering paradigm,Christopherchester,0,Guinea-Bissau,2016-04-30 15:27:22,0
+35.55,39,51593.46,151.18,Robust object-oriented Graphic Interface,Westshire,0,Micronesia,2016-01-13 20:38:35,1
+74.54,24,57518.73,219.75,Switchable secondary ability,Alexisland,0,Bahamas,2016-03-30 16:15:59,0
+81.75,24,52656.13,190.08,Open-architected web-enabled benchmark,Kevinchester,1,Cape Verde,2016-04-29 18:53:43,0
+87.85,31,52178.98,210.27,Compatible scalable emulation,New Patriciashire,1,French Polynesia,2016-06-14 19:48:34,0
+60.23,60,46239.14,151.54,Seamless optimal contingency,Port Brenda,1,Saudi Arabia,2016-07-15 15:43:36,1
+87.97,35,48918.55,149.25,Secured secondary superstructure,Port Brianfort,1,France,2016-03-24 05:38:01,0
+78.17,27,65227.79,192.27,Automated mobile model,Portermouth,1,Burundi,2016-04-26 20:57:48,0
+67.91,23,55002.05,146.8,Re-engineered non-volatile neural-net,Hubbardmouth,1,Latvia,2016-01-12 03:28:31,1
+85.77,27,52261.73,191.78,Implemented disintermediate attitude,South Brian,1,Morocco,2016-04-09 23:26:42,0
+41.16,49,59448.44,150.83,Configurable interactive contingency,Hendrixmouth,1,Venezuela,2016-03-28 09:15:58,1
+53.54,39,47314.45,108.03,Optimized systemic capability,Julietown,0,Palau,2016-06-23 11:05:01,1
+73.94,26,55411.06,236.15,Front-line non-volatile implementation,Lukeport,1,Isle of Man,2016-01-24 01:53:14,0
+63.43,29,66504.16,236.75,Ergonomic 24/7 solution,New Shane,1,Peru,2016-04-15 10:18:55,0
+84.59,36,47169.14,241.8,Integrated grid-enabled budgetary management,Lake Jillville,1,Belgium,2016-04-26 13:13:20,0
+70.13,31,70889.68,224.98,Profit-focused systemic support,Johnsonfort,0,Croatia,2016-05-16 23:21:06,0
+40.19,37,55358.88,136.99,Right-sized system-worthy project,Adamsbury,0,France,2016-01-18 02:51:13,1
+58.95,55,56242.7,131.29,Proactive actuating Graphical User Interface,East Maureen,1,Slovenia,2016-06-20 08:34:46,1
+35.76,51,45522.44,195.07,Versatile optimizing projection,North Angelastad,0,Peru,2016-07-18 04:53:22,1
+59.36,49,46931.03,110.84,Universal multi-state system engine,Amandafort,0,Belarus,2016-07-01 01:12:04,1
+91.1,40,55499.69,198.13,Secured intermediate approach,Michaelmouth,1,Bolivia,2016-03-07 22:51:00,0
+61.04,41,75805.12,149.21,Operative didactic Local Area Network,Ronaldport,0,Benin,2016-05-02 15:31:28,1
+74.06,23,40345.49,225.99,Phased content-based middleware,Port Davidland,0,Wallis and Futuna,2016-07-23 06:18:51,0
+64.63,45,15598.29,158.8,Triple-buffered high-level Internet solution,Isaacborough,1,Azerbaijan,2016-06-12 03:11:04,1
+81.29,28,33239.2,219.72,Synergized well-modulated Graphical User Interface,Lake Michael,0,Mongolia,2016-02-15 20:41:05,0
+76.07,36,68033.54,235.56,Implemented bottom-line implementation,West Michaelshire,0,Denmark,2016-01-23 01:42:28,0
+75.92,22,38427.66,182.65,Monitored context-sensitive initiative,Port Calvintown,0,Russian Federation,2016-02-26 01:18:44,0
+78.35,46,53185.34,253.48,Pre-emptive client-server open system,Parkerhaven,0,Brazil,2016-01-11 02:07:14,0
+46.14,28,39723.97,137.97,Seamless bandwidth-monitored knowledge user,Markhaven,1,Ethiopia,2016-04-04 13:56:14,1
+44.33,41,43386.07,120.63,Ergonomic empowering frame,Estradashire,0,Guyana,2016-01-14 09:27:59,1
+46.43,28,53922.43,137.2,Reverse-engineered background Graphic Interface,Brianland,1,Ethiopia,2016-04-25 03:18:45,1
+66.04,27,71881.84,199.76,Synergistic non-volatile analyzer,Cassandratown,0,Mauritius,2016-03-05 23:02:11,0
+84.31,29,47139.21,225.87,Object-based optimal solution,West Dannyberg,0,Djibouti,2016-01-06 21:43:22,0
+83.66,38,68877.02,175.14,Profound dynamic attitude,East Debraborough,0,Syrian Arab Republic,2016-02-18 03:58:36,0
+81.25,33,65186.58,222.35,Enhanced system-worthy toolset,Frankchester,1,Saint Martin,2016-04-16 14:15:55,0
+85.26,32,55424.24,224.07,Reverse-engineered dynamic function,Lisafort,1,Netherlands Antilles,2016-02-24 06:18:11,0
+86.53,46,46500.11,233.36,Networked responsive application,Colemanshire,0,Greece,2016-06-29 01:19:21,0
+76.44,26,58820.16,224.2,Distributed intangible database,Troyville,1,Madagascar,2016-01-05 06:34:20,0
+52.84,43,28495.21,122.31,Multi-tiered mobile encoding,Hobbsbury,0,Senegal,2016-07-16 10:14:04,1
+85.24,31,61840.26,182.84,Optional contextually-based flexibility,Harrisonmouth,1,Burkina Faso,2016-06-17 03:23:13,0
+74.71,46,37908.29,258.06,Proactive local focus group,Port Eugeneport,1,Czech Republic,2016-06-13 11:06:40,0
+82.95,39,69805.7,201.29,Customer-focused impactful success,Karenmouth,0,Lao People's Democratic Republic,2016-04-05 08:18:45,0
+76.42,26,60315.19,223.16,Open-source optimizing parallelism,Brendaburgh,1,Netherlands Antilles,2016-04-17 18:38:14,0
+42.04,49,67323.0,182.11,Organic logistical adapter,New Christinatown,0,Qatar,2016-02-03 16:54:33,1
+46.28,26,50055.33,228.78,Stand-alone eco-centric system engine,Jacksonstad,1,Andorra,2016-04-18 21:07:28,1
+48.26,50,43573.66,122.45,User-centric intermediate knowledge user,South Margaret,1,Liechtenstein,2016-06-18 22:31:22,1
+71.03,55,28186.65,150.77,Programmable didactic capacity,Port Georgebury,0,China,2016-03-12 07:18:36,1
+81.37,33,66412.04,215.04,Enhanced regional conglomeration,New Jessicaport,0,Vietnam,2016-01-15 01:20:05,0
+58.05,32,15879.1,195.54,Total asynchronous architecture,Sanderstown,1,Tajikistan,2016-02-12 10:39:10,1
+75.0,29,63965.16,230.36,Secured upward-trending benchmark,Perezland,1,Eritrea,2016-02-16 02:29:03,0
+79.61,31,58342.63,235.97,Customizable value-added project,Luisfurt,0,Monaco,2016-04-04 21:23:13,0
+52.56,31,33147.19,250.36,Integrated interactive support,New Karenberg,1,Israel,2016-04-24 01:48:21,1
+62.18,33,65899.68,126.44,Reactive impactful challenge,West Leahton,0,Hungary,2016-05-20 00:00:48,1
+77.89,26,64188.5,201.54,Switchable multi-state success,West Sharon,0,Singapore,2016-05-15 03:10:50,0
+66.08,61,58966.22,184.23,Synchronized multi-tasking ability,Klineside,1,Cuba,2016-01-07 23:02:43,1
+89.21,33,44078.24,210.53,Fundamental clear-thinking knowledgebase,Lake Cynthia,0,Reunion,2016-07-19 12:05:58,0
+49.96,55,60968.62,151.94,Multi-layered user-facing parallelism,South Cynthiashire,1,Zambia,2016-04-04 00:02:20,1
+77.44,28,65620.25,210.39,Front-line incremental access,Lake Jacob,0,Gabon,2016-06-10 04:21:57,0
+82.58,38,65496.78,225.23,Open-architected zero administration secured line,West Samantha,1,Dominica,2016-03-11 14:50:56,0
+39.36,29,52462.04,161.79,Mandatory disintermediate info-mediaries,Jeremybury,1,Bahamas,2016-01-14 20:58:10,1
+47.23,38,70582.55,149.8,Implemented context-sensitive Local Area Network,Blevinstown,1,Tokelau,2016-06-22 05:22:58,1
+87.85,34,51816.27,153.01,Digitized interactive initiative,Meyerchester,0,Turkmenistan,2016-03-19 08:00:58,0
+65.57,46,23410.75,130.86,Implemented asynchronous application,Reginamouth,0,Belgium,2016-04-15 15:07:17,1
+78.01,26,62729.4,200.71,Focused multi-state workforce,Donaldshire,1,French Guiana,2016-03-28 02:29:19,0
+44.15,28,48867.67,141.96,Proactive secondary monitoring,Salazarbury,1,Martinique,2016-01-22 15:03:25,1
+43.57,36,50971.73,125.2,Front-line upward-trending groupware,Lake Joshuafurt,1,French Polynesia,2016-06-25 17:33:35,1
+76.83,28,67990.84,192.81,Quality-focused 5thgeneration orchestration,Wintersfort,0,Ecuador,2016-03-04 14:33:38,0
+42.06,34,43241.19,131.55,Multi-layered secondary software,Jamesmouth,0,Puerto Rico,2016-06-29 02:48:44,1
+76.27,27,60082.66,226.69,Total coherent superstructure,Laurieside,1,United Arab Emirates,2016-06-18 01:42:37,0
+74.27,37,65180.97,247.05,Monitored executive architecture,Andrewmouth,1,Burkina Faso,2016-01-31 09:57:34,0
+73.27,28,67301.39,216.24,Front-line multi-state hub,West Angela,1,Luxembourg,2016-05-22 15:17:25,0
+74.58,36,70701.31,230.52,Configurable mission-critical algorithm,East Carlos,0,Jamaica,2016-07-22 11:05:10,0
+77.5,28,60997.84,225.34,Face-to-face responsive alliance,Kennedyfurt,1,Antarctica (the territory South of 60 deg S),2016-07-13 14:05:22,0
+87.16,33,60805.93,197.15,Reduced holistic help-desk,Blairville,0,China,2016-02-11 11:50:26,0
+87.16,37,50711.68,231.95,Pre-emptive content-based frame,East Donnatown,1,Western Sahara,2016-03-16 20:33:10,0
+66.26,47,14548.06,179.04,Optional full-range projection,Matthewtown,1,Lebanon,2016-04-25 19:31:39,1
+65.15,29,41335.84,117.3,Expanded value-added emulation,Brandonbury,0,Hong Kong,2016-07-14 22:43:29,1
+68.25,33,76480.16,198.86,Organic well-modulated database,New Jamestown,1,Vanuatu,2016-05-30 08:02:35,0
+73.49,38,67132.46,244.23,Organic 3rdgeneration encryption,Mosleyburgh,0,Vanuatu,2016-02-14 11:36:08,0
+39.19,54,52581.16,173.05,Stand-alone empowering benchmark,Leahside,0,Guatemala,2016-01-23 21:15:57,1
+80.15,25,55195.61,214.49,Monitored intermediate circuit,West Wendyland,0,Greenland,2016-07-18 02:51:19,0
+86.76,28,48679.54,189.91,Object-based leadingedge complexity,Lawrenceborough,0,Syrian Arab Republic,2016-02-10 08:21:13,0
+73.88,29,63109.74,233.61,Digitized zero-defect implementation,Kennethview,0,Saint Helena,2016-01-04 06:37:15,0
+58.6,19,44490.09,197.93,Configurable impactful firmware,West Mariafort,1,Lebanon,2016-06-05 21:38:22,0
+69.77,54,57667.99,132.27,Face-to-face dedicated flexibility,Port Sherrystad,0,Malta,2016-06-01 03:17:50,1
+87.27,30,51824.01,204.27,Fully-configurable 5thgeneration circuit,West Melissashire,1,Christmas Island,2016-03-06 06:51:23,1
+77.65,28,66198.66,208.01,Configurable impactful capacity,Pamelamouth,0,Ukraine,2016-02-26 19:35:54,0
+76.02,40,73174.19,219.55,Distributed leadingedge orchestration,Lesliefort,0,Malta,2016-07-13 14:30:14,0
+78.84,26,56593.8,217.66,Persistent even-keeled application,Shawnside,1,Italy,2016-06-29 07:20:46,0
+71.33,23,31072.44,169.4,Optimized attitude-oriented initiative,Josephmouth,0,Japan,2016-03-15 06:54:21,1
+81.9,41,66773.83,225.47,Multi-channeled 3rdgeneration model,Garciatown,0,Mauritius,2016-06-11 06:47:55,0
+46.89,48,72553.94,176.78,Polarized mission-critical structure,Chaseshire,1,Turkey,2016-07-17 13:22:43,1
+77.8,57,43708.88,152.94,Virtual executive implementation,Destinyfurt,0,Namibia,2016-02-14 14:38:01,1
+45.44,43,48453.55,119.27,Enhanced intermediate standardization,Mezaton,0,China,2016-05-04 05:01:37,1
+69.96,31,73413.87,214.06,Realigned tangible collaboration,New Kayla,1,Netherlands,2016-05-20 12:17:28,0
+87.35,35,58114.3,158.29,Cloned dedicated analyzer,Carsonshire,1,Gibraltar,2016-01-26 02:47:17,0
+49.42,53,45465.25,128.0,Ameliorated well-modulated complexity,Jacquelineshire,1,Congo,2016-07-07 18:07:19,1
+71.27,21,50147.72,216.03,Quality-focused bi-directional throughput,South Blakestad,1,Senegal,2016-01-11 12:46:31,0
+49.19,38,61004.51,123.08,Versatile solution-oriented secured line,North Mark,0,Hungary,2016-05-12 12:11:12,1
+39.96,35,53898.89,138.52,Phased leadingedge budgetary management,Kingchester,1,Pitcairn Islands,2016-02-28 23:21:22,1
+85.01,29,59797.64,192.5,Devolved exuding Local Area Network,Evansfurt,0,Slovakia (Slovak Republic),2016-05-03 16:02:50,0
+68.95,51,74623.27,185.85,Front-line bandwidth-monitored capacity,South Adamhaven,1,United States Virgin Islands,2016-03-15 20:19:20,0
+67.59,45,58677.69,113.69,User-centric solution-oriented emulation,Brittanyborough,0,Monaco,2016-07-23 05:21:39,1
+75.71,34,62109.8,246.06,Phased hybrid intranet,Barbershire,0,Portugal,2016-03-11 10:01:23,0
+43.07,36,60583.02,137.63,Monitored zero administration collaboration,East Ericport,1,Turkey,2016-02-11 20:45:46,1
+39.47,43,65576.05,163.48,Team-oriented systematic installation,Crawfordfurt,1,Uganda,2016-07-06 23:09:07,1
+48.22,40,73882.91,214.33,Inverse national core,Turnerville,0,Norfolk Island,2016-03-22 19:14:47,0
+76.76,25,50468.36,230.77,Secured uniform instruction set,Kylieview,1,Niue,2016-05-26 13:28:36,0
+78.74,27,51409.45,234.75,Quality-focused zero tolerance matrices,West Zacharyborough,0,Ukraine,2016-06-18 19:10:14,0
+67.47,24,60514.05,225.05,Multi-tiered heuristic strategy,Watsonfort,1,Vanuatu,2016-03-20 07:12:52,0
+81.17,30,57195.96,231.91,Optimized static archive,Dayton,1,United States Minor Outlying Islands,2016-06-03 07:00:36,0
+89.66,34,52802.58,171.23,Advanced didactic conglomeration,Nicholasport,1,Armenia,2016-02-03 15:15:42,0
+79.6,28,56570.06,227.37,Synergistic discrete middleware,Whitneyfort,1,Sweden,2016-05-03 16:55:02,0
+65.53,19,51049.47,190.17,Pre-emptive client-server installation,Coffeytown,1,Timor-Leste,2016-06-20 02:25:12,0
+61.87,35,66629.61,250.2,Multi-channeled attitude-oriented toolset,North Johnside,1,French Southern Territories,2016-07-10 19:15:52,0
+83.16,41,70185.06,194.95,Decentralized 24hour approach,Robinsonland,0,Finland,2016-01-04 04:00:35,0
+44.11,41,43111.41,121.24,Organic next generation matrix,Lake David,1,Saint Vincent and the Grenadines,2016-04-20 16:49:15,1
+56.57,26,56435.6,131.98,Multi-channeled non-volatile website,West Ericaport,0,Senegal,2016-01-23 13:14:18,1
+83.91,29,53223.58,222.87,Distributed bifurcated challenge,Haleberg,0,Burundi,2016-01-04 22:27:25,0
+79.8,28,57179.91,229.88,Customizable zero-defect Internet solution,West Michaelport,1,Bahamas,2016-04-08 22:40:55,0
+71.23,52,41521.28,122.59,Self-enabling zero administration neural-net,Ericksonmouth,0,Sweden,2016-01-05 11:53:17,1
+47.23,43,73538.09,210.87,Optimized upward-trending productivity,Yangside,1,Svalbard & Jan Mayen Islands,2016-03-17 22:24:02,1
+82.37,30,63664.32,207.44,Open-architected system-worthy ability,Estradafurt,0,Tonga,2016-06-29 04:23:10,0
+43.63,38,61757.12,135.25,Quality-focused maximized extranet,Frankport,1,Korea,2016-05-25 19:45:16,1
+70.9,28,71727.51,190.95,Centralized client-driven workforce,Port Juan,0,Kyrgyz Republic,2016-06-17 23:19:38,0
+71.9,29,72203.96,193.29,De-engineered intangible flexibility,Williamsside,1,Costa Rica,2016-04-24 07:20:16,0
+62.12,37,50671.6,105.86,Re-engineered intangible software,Johnsonview,1,Liechtenstein,2016-03-18 13:00:12,1
+67.35,29,47510.42,118.69,Sharable secondary Graphical User Interface,East Heidi,0,Zimbabwe,2016-04-28 21:58:25,1
+57.99,50,62466.1,124.58,Innovative homogeneous alliance,New Angelview,0,Costa Rica,2016-02-12 08:46:15,1
+66.8,29,59683.16,248.51,Diverse leadingedge website,Lake Brandonview,0,Hungary,2016-07-11 13:23:37,1
+49.13,32,41097.17,120.49,Optimized intermediate help-desk,Morganport,0,Fiji,2016-01-29 00:45:19,1
+45.11,58,39799.73,195.69,Sharable reciprocal project,Browntown,0,Netherlands,2016-01-05 16:26:44,1
+54.35,42,76984.21,164.02,Proactive interactive service-desk,Lake Hailey,0,Sweden,2016-06-20 08:22:09,0
+61.82,59,57877.15,151.93,Open-architected needs-based customer loyalty,Olsonside,1,Barbados,2016-02-06 17:48:28,1
+77.75,31,59047.91,240.64,Multi-lateral motivating circuit,Coxhaven,1,Paraguay,2016-06-22 17:19:09,0
+70.61,28,72154.68,190.12,Assimilated encompassing portal,Meaganfort,0,Italy,2016-04-16 05:24:33,0
+82.72,31,65704.79,179.82,Cross-group global orchestration,North Monicaville,0,Belarus,2016-01-17 05:07:11,0
+76.87,36,72948.76,212.59,Down-sized bandwidth-monitored core,Mullenside,0,South Georgia and the South Sandwich Islands,2016-07-08 22:30:10,0
+65.07,34,73941.91,227.53,Monitored explicit hierarchy,Princebury,1,Anguilla,2016-03-11 00:05:48,0
+56.93,37,57887.64,111.8,Reactive demand-driven strategy,Bradleyside,0,Sierra Leone,2016-06-10 00:35:15,1
+48.86,35,62463.7,128.37,Universal empowering adapter,Elizabethbury,1,Saint Martin,2016-01-04 00:44:57,1
+36.56,29,42838.29,195.89,Team-oriented bi-directional secured line,West Ryan,0,Uganda,2016-01-01 15:14:24,1
+85.73,32,43778.88,147.75,Stand-alone radical throughput,New Tammy,1,Saudi Arabia,2016-07-10 17:24:51,1
+75.81,40,71157.05,229.19,Inverse zero-defect capability,Sanchezland,0,Greenland,2016-03-27 19:50:11,0
+72.94,31,74159.69,190.84,Multi-tiered real-time implementation,Rogerland,0,Venezuela,2016-04-29 13:38:19,0
+53.63,54,50333.72,126.29,Front-line zero-defect array,Vanessaview,1,Liberia,2016-01-08 18:13:43,1
+52.35,25,33293.78,147.61,Mandatory 4thgeneration structure,Jessicashire,1,Mali,2016-06-05 07:54:30,1
+52.84,51,38641.2,121.57,Synergistic asynchronous superstructure,Melissachester,1,Bosnia and Herzegovina,2016-06-29 10:50:45,1
+51.58,33,49822.78,115.91,Vision-oriented system-worthy forecast,Johnsontown,0,Brunei Darussalam,2016-04-24 13:46:10,1
+42.32,29,63891.29,187.09,Digitized radical architecture,New Joshuaport,1,South Georgia and the South Sandwich Islands,2016-02-14 04:14:13,1
+55.04,42,43881.73,106.96,Quality-focused optimizing parallelism,Hernandezside,1,Czech Republic,2016-06-15 05:43:02,1
+68.58,41,13996.5,171.54,Exclusive discrete firmware,New Williamville,1,El Salvador,2016-07-06 12:04:29,1
+85.54,27,48761.14,175.43,Right-sized solution-oriented benchmark,Gilbertville,1,Tokelau,2016-03-31 13:54:51,0
+71.14,30,69758.31,224.82,Assimilated stable encryption,Newmanberg,0,France,2016-06-21 00:52:47,0
+64.38,19,52530.1,180.47,Configurable dynamic secured line,West Alice,1,Gabon,2016-05-27 05:23:26,0
+88.85,40,58363.12,213.96,Cloned optimal leverage,Cannonbury,0,Bulgaria,2016-01-17 18:45:55,0
+66.79,60,60575.99,198.3,Decentralized client-driven data-warehouse,Shelbyport,1,Burkina Faso,2016-04-07 20:34:42,1
+32.6,45,48206.04,185.47,Multi-tiered interactive neural-net,New Henry,0,Mayotte,2016-05-02 18:37:01,1
+43.88,54,31523.09,166.85,Enhanced methodical database,Dustinmouth,1,Somalia,2016-06-04 17:24:07,1
+56.46,26,66187.58,151.63,Ameliorated leadingedge help-desk,South Lisa,0,Albania,2016-04-07 18:52:57,1
+72.18,30,69438.04,225.02,De-engineered attitude-oriented projection,Lisamouth,0,Bolivia,2016-06-10 22:21:10,0
+52.67,44,14775.5,191.26,Persevering 5thgeneration knowledge user,New Hollyberg,0,Jersey,2016-05-19 06:37:38,1
+80.55,35,68016.9,219.91,Extended grid-enabled hierarchy,Port Brittanyville,0,British Virgin Islands,2016-03-28 23:01:24,0
+67.85,41,78520.99,202.7,Reactive tangible contingency,East Ronald,1,Saint Helena,2016-01-21 22:51:34,1
+75.55,36,31998.72,123.71,Decentralized attitude-oriented interface,South Davidmouth,1,Bosnia and Herzegovina,2016-03-12 06:05:12,1
+80.46,29,56909.3,230.78,Mandatory coherent groupware,Carterton,0,India,2016-06-04 09:13:29,0
+82.69,29,61161.29,167.41,Fully-configurable eco-centric frame,Rachelhaven,1,Georgia,2016-05-24 10:16:38,0
+35.21,39,52340.1,154.0,Advanced disintermediate data-warehouse,New Timothy,1,United States Minor Outlying Islands,2016-03-25 06:36:53,1
+36.37,40,47338.94,144.53,Quality-focused zero-defect data-warehouse,North Jessicaville,1,Kiribati,2016-04-22 00:28:18,1
+74.07,22,50950.24,165.43,Cross-group non-volatile secured line,Joneston,1,Ghana,2016-03-22 04:13:35,0
+59.96,33,77143.61,197.66,Expanded modular application,Staceyfort,0,Samoa,2016-01-14 08:27:04,1
+85.62,29,57032.36,195.68,Triple-buffered systematic info-mediaries,South Dianeshire,0,Iran,2016-04-14 21:37:49,0
+40.88,33,48554.45,136.18,Networked non-volatile synergy,West Shannon,1,Costa Rica,2016-05-31 17:50:15,1
+36.98,31,39552.49,167.87,Fully-configurable clear-thinking throughput,Micheletown,1,Northern Mariana Islands,2016-03-17 06:25:47,1
+35.49,47,36884.23,170.04,Front-line actuating functionalities,North Brittanyburgh,0,Liechtenstein,2016-04-13 07:07:36,1
+56.56,26,68783.45,204.47,Compatible composite project,Port Jasmine,1,Grenada,2016-02-03 22:11:13,0
+36.62,32,51119.93,162.44,Customer-focused solution-oriented software,New Sabrina,1,Poland,2016-02-02 19:59:17,1
+49.35,49,44304.13,119.86,Inverse stable synergy,Lake Charlottestad,0,Kenya,2016-04-07 20:38:02,1
+75.64,29,69718.19,204.82,Pre-emptive well-modulated moderator,West Rhondamouth,1,Iran,2016-03-15 19:35:19,0
+79.22,27,63429.18,198.79,Intuitive modular system engine,North Debra,1,Belgium,2016-03-11 12:39:19,0
+77.05,34,65756.36,236.08,Centralized value-added hierarchy,Villanuevastad,0,Namibia,2016-05-17 18:06:46,0
+66.83,46,77871.75,196.17,Assimilated hybrid initiative,North Jeremyport,1,Cyprus,2016-02-28 23:10:32,0
+76.2,24,47258.59,228.81,Optimized coherent Internet solution,Lake Susan,1,Japan,2016-03-02 06:35:08,0
+56.64,29,55984.89,123.24,Versatile 6thgeneration parallelism,Lake John,1,Zimbabwe,2016-02-27 08:52:50,1
+53.33,34,44275.13,111.63,Configurable impactful productivity,Courtneyfort,1,Andorra,2016-03-14 04:34:35,1
+50.63,50,25767.16,142.23,Operative full-range forecast,Tammymouth,0,Luxembourg,2016-03-10 15:07:44,1
+41.84,49,37605.11,139.32,Operative secondary functionalities,Lake Vanessa,0,Cyprus,2016-05-01 08:27:12,1
+53.92,41,25739.09,125.46,Business-focused transitional solution,Lake Amanda,1,Turkey,2016-06-12 11:17:25,1
+83.89,28,60188.38,180.88,Ameliorated intermediate Graphical User Interface,Mariemouth,1,Hong Kong,2016-05-28 12:20:15,0
+55.32,43,67682.32,127.65,Managed 24hour analyzer,Port Douglasborough,0,Netherlands,2016-03-18 09:08:39,1
+53.22,44,44307.18,108.85,Horizontal client-server database,Port Aprilville,0,United States Virgin Islands,2016-05-26 06:03:57,1
+43.16,35,25371.52,156.11,Implemented didactic support,Williamsport,1,Marshall Islands,2016-07-06 03:40:17,1
+67.51,43,23942.61,127.2,Digitized homogeneous core,Lake Faith,0,Western Sahara,2016-04-29 14:10:00,1
+43.16,29,50666.5,143.04,Robust holistic application,Wendyville,1,Saint Vincent and the Grenadines,2016-03-05 20:53:19,1
+79.89,30,50356.06,241.38,Synergized uniform hierarchy,Angelhaven,1,United States of America,2016-05-30 08:35:54,0
+84.25,32,63936.5,170.9,Pre-emptive client-driven secured line,New Sean,1,Angola,2016-04-10 06:32:11,0
+74.18,28,69874.18,203.87,Front-line even-keeled website,Lake Lisa,0,Cayman Islands,2016-01-20 02:31:36,0
+85.78,34,50038.65,232.78,Persistent fault-tolerant service-desk,Valerieland,0,Swaziland,2016-07-20 21:53:42,0
+80.96,39,67866.95,225.0,Integrated leadingedge frame,New Travis,1,Wallis and Futuna,2016-01-17 04:12:30,0
+36.91,48,54645.2,159.69,Ameliorated coherent open architecture,North Samantha,0,Zimbabwe,2016-02-24 07:13:00,1
+54.47,23,46780.09,141.52,Vision-oriented bifurcated contingency,Holderville,0,Chad,2016-03-26 19:37:46,1
+81.98,34,67432.49,212.88,Up-sized maximized model,Patrickmouth,0,Saint Martin,2016-06-04 09:25:27,0
+79.6,39,73392.28,194.23,Organized global flexibility,Lake Deannaborough,0,Rwanda,2016-04-22 07:48:33,0
+57.51,38,47682.28,105.71,Re-engineered zero-defect open architecture,Jeffreymouth,0,Moldova,2016-03-31 08:53:43,1
+82.3,31,56735.83,232.21,Balanced executive definition,Davieshaven,0,Gabon,2016-04-16 08:36:08,0
+73.21,30,51013.37,252.6,Networked logistical info-mediaries,Lake Jessicaville,1,Denmark,2016-05-12 20:57:10,1
+79.09,32,69481.85,209.72,Optimized multimedia website,Hernandezchester,1,Svalbard & Jan Mayen Islands,2016-05-07 21:32:51,0
+68.47,28,67033.34,226.64,Focused coherent success,North Kennethside,0,Poland,2016-06-25 00:33:23,0
+83.69,36,68717.0,192.57,Robust context-sensitive neural-net,Shelbyport,0,Fiji,2016-03-23 05:27:35,0
+83.48,31,59340.99,222.72,Intuitive zero administration adapter,Williamport,1,Philippines,2016-03-04 13:47:47,0
+43.49,45,47968.32,124.67,Synchronized full-range portal,Smithside,0,Vietnam,2016-06-14 12:08:10,1
+66.69,35,48758.92,108.27,Integrated encompassing support,Vanessastad,0,Jersey,2016-05-11 19:13:42,1
+48.46,49,61230.03,132.38,Devolved human-resource circuit,Lisamouth,1,Indonesia,2016-01-21 23:33:22,1
+42.51,30,54755.71,144.77,Grass-roots transitional flexibility,Lake Rhondaburgh,1,Palestinian Territory,2016-01-15 19:45:33,1
+42.83,34,54324.73,132.38,Vision-oriented methodical support,Cunninghamhaven,1,Latvia,2016-04-23 09:42:08,1
+41.46,42,52177.4,128.98,Integrated impactful groupware,Robertstown,1,Malta,2016-05-23 08:06:24,1
+45.99,33,51163.14,124.61,Face-to-face methodical intranet,South Mark,1,Afghanistan,2016-02-27 15:04:52,1
+68.72,27,66861.67,225.97,Fundamental tangible moratorium,New Taylorburgh,0,Austria,2016-02-23 17:37:46,0
+63.11,34,63107.88,254.94,Balanced mobile Local Area Network,Port Karenfurt,1,Micronesia,2016-03-17 22:59:46,0
+49.21,46,49206.4,115.6,Realigned 24/7 core,Carterland,0,Mexico,2016-02-28 03:34:35,1
+55.77,49,55942.04,117.33,Fully-configurable high-level groupware,East Shawn,1,Chile,2016-03-15 14:33:12,1
+44.13,40,33601.84,128.48,Ameliorated discrete extranet,West Derekmouth,1,Cuba,2016-03-03 20:20:32,1
+57.82,46,48867.36,107.56,Centralized asynchronous portal,Brandiland,1,Belarus,2016-04-06 14:16:52,1
+72.46,40,56683.32,113.53,Enhanced tertiary utilization,Cervantesshire,0,Malawi,2016-05-01 09:23:25,1
+61.88,45,38260.89,108.18,Balanced disintermediate conglomeration,North Debrashire,0,Afghanistan,2016-05-30 08:02:27,1
+78.24,23,54106.21,199.29,Sharable value-added solution,Deannaville,0,Luxembourg,2016-04-04 11:39:51,0
+74.61,38,71055.22,231.28,Networked impactful framework,East Christopher,1,South Africa,2016-04-06 23:10:40,0
+89.18,37,46403.18,224.01,Public-key impactful neural-net,Rickymouth,1,Nepal,2016-04-26 21:45:50,0
+44.16,42,61690.93,133.42,Innovative interactive portal,Port Dennis,1,Spain,2016-05-25 00:34:59,1
+55.74,37,26130.93,124.34,Networked asymmetric infrastructure,Lake Michelle,1,Hong Kong,2016-02-11 16:45:41,1
+88.82,36,58638.75,169.1,Assimilated discrete strategy,East Johnport,0,Slovakia (Slovak Republic),2016-01-30 00:05:37,0
+70.39,32,47357.39,261.52,Phased 5thgeneration open system,Sabrinaview,1,Cayman Islands,2016-07-12 10:56:21,0
+59.05,52,50086.17,118.45,Upgradable logistical flexibility,Kristinfurt,1,Uganda,2016-04-23 03:46:34,1
+78.58,33,51772.58,250.11,Centralized user-facing service-desk,Chapmanland,1,Vanuatu,2016-04-16 10:36:49,0
+35.11,35,47638.3,158.03,Extended analyzing emulation,North Jonathan,1,Anguilla,2016-03-11 13:07:30,1
+60.39,45,38987.42,108.25,Front-line methodical utilization,Port Christina,1,Switzerland,2016-03-02 15:39:02,1
+81.56,26,51363.16,213.7,Open-source scalable protocol,Juanport,1,Zimbabwe,2016-07-13 21:31:14,0
+75.03,34,35764.49,255.57,Networked local secured line,East Mike,0,Uruguay,2016-05-29 18:12:00,1
+50.87,24,62939.5,190.41,Programmable empowering orchestration,North Angelatown,0,Liberia,2016-05-10 17:13:47,1
+82.8,30,58776.67,223.2,Enhanced systemic benchmark,West Steven,1,Egypt,2016-05-07 08:39:47,0
+78.51,25,59106.12,205.71,Focused web-enabled Graphical User Interface,Riggsstad,1,Greece,2016-01-17 13:27:13,0
+37.65,51,50457.01,161.29,Automated stable help-desk,Davidview,1,Bahrain,2016-03-09 06:22:03,1
+83.17,43,54251.78,244.4,Managed national hardware,Port Kevinborough,1,Sri Lanka,2016-04-05 18:02:49,0
+91.37,45,51920.49,182.65,Re-engineered composite moratorium,Lawsonshire,1,Kazakhstan,2016-04-01 07:37:18,1
+68.25,29,70324.8,220.08,Phased fault-tolerant definition,Wagnerchester,0,Greenland,2016-02-15 16:18:49,0
+81.32,25,52416.18,165.65,Pre-emptive next generation Internet solution,Daisymouth,0,Moldova,2016-03-08 05:12:57,0
+76.64,39,66217.31,241.5,Reverse-engineered web-enabled support,North Daniel,1,Poland,2016-02-09 23:38:30,0
+74.06,50,60938.73,246.29,Horizontal intermediate monitoring,Port Jacquelinestad,1,Anguilla,2016-06-17 09:38:22,0
+39.53,33,40243.82,142.21,Intuitive transitional artificial intelligence,New Teresa,1,Central African Republic,2016-06-01 12:27:17,1
+86.58,32,60151.77,195.93,Business-focused asynchronous budgetary management,Henryfort,1,Mexico,2016-02-26 23:44:44,0
+90.75,40,45945.88,216.5,Decentralized methodical capability,Lake Joseph,0,Togo,2016-03-11 09:58:32,0
+67.71,25,63430.33,225.76,Synergized intangible open system,Daviesborough,1,Armenia,2016-04-28 02:55:10,0
+82.41,36,65882.81,222.08,Stand-alone logistical service-desk,North Brandon,0,Nicaragua,2016-04-12 04:22:42,0
+45.82,27,64410.8,171.24,Expanded full-range synergy,Adamside,1,Eritrea,2016-02-10 20:43:38,1
+76.79,27,55677.12,235.94,Open-architected intangible strategy,Wademouth,0,Canada,2016-05-01 23:21:53,0
+70.05,33,75560.65,203.44,Diverse directional hardware,North Raymond,0,Croatia,2016-03-24 17:48:31,0
+72.19,32,61067.58,250.32,Balanced discrete approach,Randolphport,1,Switzerland,2016-04-22 19:45:19,0
+77.35,34,72330.57,167.26,Total bi-directional success,East Troyhaven,0,Yemen,2016-03-09 12:10:08,0
+40.34,29,32549.95,173.75,Object-based motivating instruction set,Clarkborough,0,Tokelau,2016-03-30 05:29:38,1
+67.39,44,51257.26,107.19,Realigned intermediate application,Josephberg,0,Armenia,2016-01-24 13:41:38,1
+68.68,34,77220.42,187.03,Sharable encompassing database,Lake Jenniferton,1,Equatorial Guinea,2016-07-15 09:42:19,0
+81.75,43,52520.75,249.45,Progressive 24/7 definition,Lake Jose,0,Barbados,2016-06-07 05:41:16,0
+66.03,22,59422.47,217.37,Pre-emptive next generation strategy,Ashleymouth,0,American Samoa,2016-05-31 23:32:00,0
+47.74,33,22456.04,154.93,Open-source 5thgeneration leverage,Henryland,1,Saint Lucia,2016-05-14 14:49:05,1
+79.18,31,58443.99,236.96,Open-source holistic productivity,Lake Danielle,0,Algeria,2016-01-10 20:18:21,0
+86.81,29,50820.74,199.62,Multi-channeled scalable moratorium,Joshuaburgh,1,Turkmenistan,2016-02-21 16:57:59,0
+41.53,42,67575.12,158.81,Optional tangible productivity,South Jeanneport,0,Mayotte,2016-05-23 00:32:54,1
+70.92,39,66522.79,249.81,Up-sized intangible circuit,New Nathan,1,South Africa,2016-07-21 20:30:06,0
+46.84,45,34903.67,123.22,Virtual homogeneous budgetary management,Jonesshire,0,Macao,2016-05-15 18:44:50,1
+44.4,53,43073.78,140.95,Phased zero-defect portal,Mariahview,1,France,2016-06-30 00:43:40,1
+52.17,44,57594.7,115.37,Optional modular throughput,New Julianberg,1,Equatorial Guinea,2016-02-24 06:17:18,1
+81.45,31,66027.31,205.84,Triple-buffered human-resource complexity,Randyshire,1,Mali,2016-05-30 21:22:22,0
+54.08,36,53012.94,111.02,Innovative cohesive pricing structure,Philipberg,1,Mayotte,2016-06-02 04:14:37,1
+76.65,31,61117.5,238.43,Function-based executive moderator,West Dennis,0,Pakistan,2016-04-18 07:00:38,0
+54.39,20,52563.22,171.9,Digitized content-based circuit,Richardshire,1,Guadeloupe,2016-02-29 18:06:21,1
+37.74,40,65773.49,190.95,Balanced uniform algorithm,Lake James,0,Denmark,2016-05-27 12:45:37,1
+69.86,25,50506.44,241.36,Triple-buffered foreground encryption,Austinborough,0,New Zealand,2016-01-12 21:17:15,0
+85.37,36,66262.59,194.56,Front-line system-worthy flexibility,Alexandrafort,1,Netherlands Antilles,2016-01-27 17:08:19,0
+80.99,26,35521.88,207.53,Centralized clear-thinking Graphic Interface,Melissastad,1,Belarus,2016-06-10 03:56:41,0
+78.84,32,62430.55,235.29,Optimized 5thgeneration moratorium,Gonzalezburgh,1,Taiwan,2016-04-09 09:26:39,0
+77.36,41,49597.08,115.79,Fully-configurable asynchronous firmware,Port Jennifer,0,El Salvador,2016-02-26 06:00:16,1
+55.46,37,42078.89,108.1,Exclusive systematic algorithm,Chrismouth,0,Taiwan,2016-02-21 23:07:11,1
+35.66,45,46197.59,151.72,Exclusive cohesive intranet,Port Beth,0,Peru,2016-04-29 14:08:26,1
+50.78,51,49957.0,122.04,Vision-oriented asynchronous Internet solution,West David,0,Liberia,2016-02-11 17:02:07,1
+40.47,38,24078.93,203.9,Sharable 5thgeneration access,Fraziershire,0,Burundi,2016-07-22 07:44:43,1
+45.62,43,53647.81,121.28,Monitored homogeneous artificial intelligence,Robertfurt,0,Macao,2016-06-26 02:34:15,1
+84.76,30,61039.13,178.69,Monitored 24/7 moratorium,South Pamela,0,Venezuela,2016-05-14 23:08:14,0
+80.64,26,46974.15,221.59,Vision-oriented real-time framework,North Laurenview,0,Luxembourg,2016-05-24 10:04:39,0
+75.94,27,53042.51,236.96,Future-proofed stable function,Campbellstad,1,Italy,2016-02-16 12:05:45,0
+37.01,50,48826.14,216.01,Secured encompassing Graphical User Interface,Port Derekberg,0,San Marino,2016-03-20 02:44:13,1
+87.18,31,58287.86,193.6,Right-sized logistical middleware,West Andrew,0,Madagascar,2016-01-31 05:12:44,0
+56.91,50,21773.22,146.44,Team-oriented executive core,West Randy,0,Norfolk Island,2016-04-01 05:17:28,1
+75.24,24,52252.91,226.49,Vision-oriented next generation solution,South Christopher,0,Vanuatu,2016-02-25 16:33:24,0
+42.84,52,27073.27,182.2,Enhanced optimizing website,Lake Michellebury,1,Tunisia,2016-03-21 11:02:49,1
+67.56,47,50628.31,109.98,Reduced background data-warehouse,Zacharyton,0,Paraguay,2016-02-12 05:20:19,1
+34.96,42,36913.51,160.49,Right-sized mobile initiative,West James,1,Macedonia,2016-06-01 16:10:30,1
+87.46,37,61009.1,211.56,Synergized grid-enabled framework,Millerview,1,Heard Island and McDonald Islands,2016-06-16 03:17:45,0
+41.86,39,53041.77,128.62,Open-source stable paradigm,Hawkinsbury,1,Ethiopia,2016-03-26 15:28:07,1
+34.04,34,40182.84,174.88,Reverse-engineered context-sensitive emulation,Elizabethport,1,El Salvador,2016-02-16 07:37:28,1
+54.96,42,59419.78,113.75,Public-key disintermediate emulation,West Amanda,1,Niger,2016-02-28 09:31:31,1
+87.14,31,58235.21,199.4,Up-sized bifurcated capability,Wadestad,1,Timor-Leste,2016-05-18 01:00:52,0
+78.79,32,68324.48,215.29,Stand-alone background open system,Mauriceshire,1,Uruguay,2016-02-21 13:11:08,0
+65.56,25,69646.35,181.25,Stand-alone explicit orchestration,West Arielstad,1,Somalia,2016-01-05 12:59:07,0
+81.05,34,54045.39,245.5,Configurable asynchronous application,Adamsstad,0,Malaysia,2016-05-18 00:07:43,0
+55.71,37,57806.03,112.52,Upgradable 4thgeneration portal,Lake James,1,Korea,2016-03-06 23:26:44,1
+45.48,49,53336.76,129.16,Networked client-server solution,Blairborough,1,Lao People's Democratic Republic,2016-05-19 04:23:41,1
+47.0,56,50491.45,149.53,Public-key bi-directional Graphical User Interface,New Marcusbury,0,Bahamas,2016-04-29 20:40:21,1
+59.64,51,71455.62,153.12,Re-contextualized human-resource success,Evansville,1,Guyana,2016-05-03 01:09:01,1
+35.98,45,43241.88,150.79,Front-line fresh-thinking installation,Huffmanchester,0,Ethiopia,2016-06-27 21:51:47,1
+72.55,22,58953.01,202.34,Balanced empowering success,New Cynthia,0,Bosnia and Herzegovina,2016-02-08 07:33:22,0
+91.15,38,36834.04,184.98,Robust uniform framework,Joshuamouth,0,Cyprus,2016-02-22 07:04:05,0
+80.53,29,66345.1,187.64,Sharable upward-trending support,West Benjamin,0,Singapore,2016-03-21 08:13:24,0
+82.49,45,38645.4,130.84,Assimilated multi-state paradigm,Williamsfort,0,Dominican Republic,2016-05-31 00:58:37,1
+80.94,36,60803.0,239.94,Self-enabling local strategy,North Tiffany,0,Bermuda,2016-01-01 05:31:22,0
+61.76,34,33553.9,114.69,Open-source local approach,Edwardsport,0,Jamaica,2016-05-27 08:53:51,1
+63.3,38,63071.34,116.19,Polarized intangible encoding,Lake Evantown,0,Saint Barthelemy,2016-05-09 07:13:27,1
+36.73,34,46737.34,149.79,Multi-lateral attitude-oriented adapter,South Henry,1,Albania,2016-06-27 01:56:36,1
+78.41,33,55368.67,248.23,Multi-lateral 24/7 Internet solution,Harmonhaven,1,Mozambique,2016-06-03 04:51:46,0
+83.98,36,68305.91,194.62,Profit-focused secondary portal,West Gregburgh,0,Zimbabwe,2016-02-24 00:44:44,0
+63.18,45,39211.49,107.92,Reactive upward-trending migration,Hansenland,0,Georgia,2016-03-05 12:03:41,1
+50.6,48,65956.71,135.67,Customer-focused fault-tolerant implementation,Port Michaelmouth,0,Brazil,2016-01-15 22:49:45,1
+32.6,38,40159.2,190.05,Customizable homogeneous contingency,Tylerport,0,Syrian Arab Republic,2016-02-12 03:39:09,1
+60.83,19,40478.83,185.46,Versatile next generation pricing structure,West Lacey,1,Palestinian Territory,2016-02-19 20:49:27,0
+44.72,46,40468.53,123.86,Cross-group systemic customer loyalty,North Jenniferburgh,1,Grenada,2016-03-12 02:48:18,1
+78.76,51,66980.27,162.05,Face-to-face modular budgetary management,South Davidhaven,0,Ghana,2016-07-23 04:04:42,1
+79.51,39,34942.26,125.11,Proactive non-volatile encryption,North Charlesbury,1,Brunei Darussalam,2016-03-06 09:33:46,1
+39.3,32,48335.2,145.73,Decentralized bottom-line help-desk,Jonathanland,0,Lithuania,2016-02-24 04:11:37,1
+64.79,30,42251.59,116.07,Visionary mission-critical application,North Virginia,0,Maldives,2016-02-17 20:22:49,1
+89.8,36,57330.43,198.24,User-centric attitude-oriented adapter,West Tanner,0,Lesotho,2016-02-02 04:57:50,0
+72.82,34,75769.82,191.82,User-centric discrete success,Jonesmouth,1,Czech Republic,2016-01-27 16:06:05,0
+38.65,31,51812.71,154.77,Total even-keeled architecture,Port Jason,1,Iceland,2016-05-24 09:50:41,1
+59.01,30,75265.96,178.75,Focused multimedia implementation,West Annefort,1,Philippines,2016-02-08 22:45:26,1
+78.96,50,69868.48,193.15,Stand-alone well-modulated product,East Jason,0,Cayman Islands,2016-02-12 01:55:38,1
+63.99,43,72802.42,138.46,Ameliorated bandwidth-monitored contingency,North Cassie,0,Haiti,2016-01-11 08:18:12,1
+41.35,27,39193.45,162.46,Streamlined homogeneous analyzer,Hintonport,1,Colombia,2016-03-03 03:51:27,1
+62.79,36,18368.57,231.87,Total coherent archive,New James,1,Luxembourg,2016-05-30 20:08:51,1
+45.53,29,56129.89,141.58,Front-line neutral alliance,North Destiny,0,United Arab Emirates,2016-04-22 22:01:21,1
+51.65,31,58996.56,249.99,Virtual context-sensitive support,Mclaughlinbury,0,Ireland,2016-05-25 10:39:28,0
+54.55,44,41547.62,109.04,Re-engineered optimal policy,West Gabriellamouth,0,Canada,2016-02-04 03:10:17,1
+35.66,36,59240.24,172.57,Implemented uniform synergy,Alvarezland,0,Svalbard & Jan Mayen Islands,2016-02-21 20:09:12,1
+69.95,28,56725.47,247.01,Horizontal even-keeled challenge,New Julie,0,Malta,2016-04-28 01:24:34,0
+79.83,29,55764.43,234.23,Innovative regional groupware,North Frankstad,1,Sudan,2016-05-18 19:33:51,0
+85.35,37,64235.51,161.42,Exclusive multi-state Internet solution,Claytonside,1,Ecuador,2016-02-17 11:15:31,0
+56.78,28,39939.39,124.32,Mandatory empowering focus group,Melanieton,0,Senegal,2016-06-19 23:04:45,1
+78.67,26,63319.99,195.56,Proactive 5thgeneration frame,Lake Michaelport,0,Cambodia,2016-02-20 09:54:06,0
+70.09,21,54725.87,211.17,Automated full-range Internet solution,East Benjaminville,0,Belarus,2016-01-22 12:58:14,0
+60.75,42,69775.75,247.05,Fully-configurable systemic productivity,Garrettborough,1,Guyana,2016-02-19 13:26:24,0
+65.07,24,57545.56,233.85,Multi-lateral multi-state encryption,Port Raymondfort,0,Mali,2016-01-03 07:13:53,0
+35.25,50,47051.02,194.44,Intuitive global website,Waltertown,0,Iran,2016-01-03 04:39:47,1
+37.58,52,51600.47,176.7,Exclusive disintermediate Internet solution,Cameronberg,1,Bulgaria,2016-04-13 13:04:47,1
+68.01,25,68357.96,188.32,Ameliorated actuating workforce,Kaylashire,1,Afghanistan,2016-01-01 03:35:35,0
+45.08,38,35349.26,125.27,Synergized clear-thinking protocol,Fosterside,0,Liberia,2016-03-27 08:32:37,1
+63.04,27,69784.85,159.05,Triple-buffered multi-state complexity,Davidstad,0,Netherlands Antilles,2016-07-10 16:25:56,1
+40.18,29,50760.23,151.96,Enhanced intangible portal,Lake Tracy,0,Hong Kong,2016-06-25 04:21:33,1
+45.17,48,34418.09,132.07,Down-sized background groupware,Taylormouth,1,Palau,2016-01-27 14:41:10,1
+50.48,50,20592.99,162.43,Switchable real-time product,Dianaville,0,Malawi,2016-05-16 18:51:59,1
+80.87,28,63528.8,203.3,Ameliorated local workforce,Collinsburgh,0,Uruguay,2016-02-27 20:20:25,0
+41.88,40,44217.68,126.11,Streamlined exuding adapter,Port Rachel,1,Cyprus,2016-02-28 23:54:44,1
+39.87,48,47929.83,139.34,Business-focused user-facing benchmark,South Rebecca,1,Mexico,2016-06-13 06:11:33,1
+61.84,45,46024.29,105.63,Reactive bi-directional standardization,Port Joshuafort,1,Niger,2016-05-05 11:07:13,1
+54.97,31,51900.03,116.38,Virtual bifurcated portal,Robinsontown,1,France,2016-07-07 12:17:33,1
+71.4,30,72188.9,166.31,Integrated 3rdgeneration monitoring,Beckton,0,Japan,2016-05-24 17:07:08,0
+70.29,31,56974.51,254.65,Balanced responsive open system,New Frankshire,1,Norfolk Island,2016-03-30 14:36:55,0
+67.26,57,25682.65,168.41,Focused incremental Graphic Interface,North Derekville,1,Bulgaria,2016-05-27 05:54:03,1
+76.58,46,41884.64,258.26,Secured 24hour policy,West Sydney,0,Uzbekistan,2016-01-03 16:30:51,0
+54.37,38,72196.29,140.77,Up-sized asymmetric firmware,Lake Matthew,0,Mexico,2016-06-25 18:17:53,1
+82.79,32,54429.17,234.81,Distributed fault-tolerant service-desk,Lake Zacharyfurt,1,Brunei Darussalam,2016-02-24 10:36:43,0
+66.47,31,58037.66,256.39,Vision-oriented human-resource synergy,Lindsaymouth,1,France,2016-03-03 03:13:48,0
+72.88,44,64011.26,125.12,Customer-focused explicit challenge,Sarahland,0,Yemen,2016-04-21 19:56:24,1
+76.44,28,59967.19,232.68,Synchronized human-resource moderator,Port Julie,1,Northern Mariana Islands,2016-04-06 17:26:37,0
+63.37,43,43155.19,105.04,Open-architected full-range projection,Michaelshire,1,Poland,2016-03-23 12:53:23,1
+89.71,48,51501.38,204.4,Versatile local forecast,Sarafurt,1,Bahrain,2016-02-17 07:00:38,0
+70.96,31,55187.85,256.4,Ameliorated user-facing help-desk,South Denise,0,Saint Pierre and Miquelon,2016-06-26 07:01:47,0
+35.79,44,33813.08,165.62,Enterprise-wide tangible model,North Katie,1,Tonga,2016-04-20 13:36:42,1
+38.96,38,36497.22,140.67,Versatile mission-critical application,Mauricefurt,1,Comoros,2016-07-21 16:02:40,1
+69.17,40,66193.81,123.62,Extended leadingedge solution,New Patrick,0,Montenegro,2016-03-06 11:36:06,1
+64.2,27,66200.96,227.63,Phased zero tolerance extranet,Edwardsmouth,1,Isle of Man,2016-02-11 23:45:01,0
+43.7,28,63126.96,173.01,Front-line bifurcated ability,Nicholasland,0,Mayotte,2016-04-04 03:57:48,1
+72.97,30,71384.57,208.58,Fundamental modular algorithm,Duffystad,1,Lebanon,2016-02-11 21:49:00,1
+51.3,45,67782.17,134.42,Grass-roots cohesive monitoring,New Darlene,1,Bosnia and Herzegovina,2016-04-22 02:07:01,1
+51.63,51,42415.72,120.37,Expanded intangible solution,South Jessica,1,Mongolia,2016-02-01 17:24:57,1
+55.55,19,41920.79,187.95,Proactive bandwidth-monitored policy,West Steven,0,Guatemala,2016-03-24 02:35:54,0
+45.01,26,29875.8,178.35,Virtual 5thgeneration emulation,Ronniemouth,0,Brazil,2016-06-03 21:43:21,1