{ "cells": [ { "cell_type": "markdown", "id": "288a764a-c472-4af3-9e73-776abec76dc3", "metadata": {}, "source": [ "# Importing Necessary Libraries" ] }, { "cell_type": "code", "execution_count": 3, "id": "b9c5cea6-3920-4c1b-b808-ed8b88a2860f", "metadata": { "tags": [] }, "outputs": [], "source": [ "import sqlite3\n", "\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "%matplotlib inline\n", "\n", "pd.options.display.max_columns = None\n", "\n", "import re\n", "import nltk\n", "# nltk.download('popular')\n", "import spacy\n", "import string\n", "from nltk.tokenize import RegexpTokenizer" ] }, { "cell_type": "markdown", "id": "1db46d75", "metadata": {}, "source": [ "# About The Dataset" ] }, { "cell_type": "markdown", "id": "ff743d28", "metadata": {}, "source": [ "# Reading the Dataset" ] }, { "cell_type": "code", "execution_count": 4, "id": "9f826d83", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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airlineoverallauthorreview_datecustomer_reviewaircrafttraveller_typecabinroutedate_flownseat_comfortcabin_servicefood_beventertainmentground_servicevalue_for_moneyrecommended
1Turkish Airlines7.0Christopher Hackley8th May 2019✅ Trip Verified | London to Izmir via Istanb...NaNBusinessEconomy ClassLondon to Izmir via Istanbul2019-05-01 00:00:004.05.04.04.02.04.0yes
3Turkish Airlines2.0Adriana Pisoi7th May 2019✅ Trip Verified | Istanbul to Bucharest. We ...NaNFamily LeisureEconomy ClassIstanbul to Bucharest2019-05-01 00:00:004.01.01.01.01.01.0no
5Turkish Airlines3.0M Galerko7th May 2019✅ Trip Verified | Rome to Prishtina via Ista...NaNBusinessEconomy ClassRome to Prishtina via Istanbul2019-05-01 00:00:001.04.01.03.01.02.0no
7Turkish Airlines10.0Zeshan Shah6th May 2019✅ Trip Verified | Flew on Turkish Airlines I...A330Solo LeisureEconomy ClassWashington Dulles to KarachiApril 20194.05.05.05.05.05.0yes
9Turkish Airlines1.0Pooja Jain6th May 2019✅ Trip Verified | Mumbai to Dublin via Istan...NaNSolo LeisureEconomy ClassMumbai to Dublin via Istanbul2019-05-01 00:00:001.01.01.01.01.01.0no
\n", "
" ], "text/plain": [ " airline overall author review_date \\\n", "1 Turkish Airlines 7.0 Christopher Hackley 8th May 2019 \n", "3 Turkish Airlines 2.0 Adriana Pisoi 7th May 2019 \n", "5 Turkish Airlines 3.0 M Galerko 7th May 2019 \n", "7 Turkish Airlines 10.0 Zeshan Shah 6th May 2019 \n", "9 Turkish Airlines 1.0 Pooja Jain 6th May 2019 \n", "\n", " customer_review aircraft traveller_type \\\n", "1 ✅ Trip Verified | London to Izmir via Istanb... NaN Business \n", "3 ✅ Trip Verified | Istanbul to Bucharest. We ... NaN Family Leisure \n", "5 ✅ Trip Verified | Rome to Prishtina via Ista... NaN Business \n", "7 ✅ Trip Verified | Flew on Turkish Airlines I... A330 Solo Leisure \n", "9 ✅ Trip Verified | Mumbai to Dublin via Istan... NaN Solo Leisure \n", "\n", " cabin route date_flown \\\n", "1 Economy Class London to Izmir via Istanbul 2019-05-01 00:00:00 \n", "3 Economy Class Istanbul to Bucharest 2019-05-01 00:00:00 \n", "5 Economy Class Rome to Prishtina via Istanbul 2019-05-01 00:00:00 \n", "7 Economy Class Washington Dulles to Karachi April 2019 \n", "9 Economy Class Mumbai to Dublin via Istanbul 2019-05-01 00:00:00 \n", "\n", " seat_comfort cabin_service food_bev entertainment ground_service \\\n", "1 4.0 5.0 4.0 4.0 2.0 \n", "3 4.0 1.0 1.0 1.0 1.0 \n", "5 1.0 4.0 1.0 3.0 1.0 \n", "7 4.0 5.0 5.0 5.0 5.0 \n", "9 1.0 1.0 1.0 1.0 1.0 \n", "\n", " value_for_money recommended \n", "1 4.0 yes \n", "3 1.0 no \n", "5 2.0 no \n", "7 5.0 yes \n", "9 1.0 no " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.read_excel(\"raw_data.xlsx\", sheet_name=\"capstone_airline_reviews3\")\n", "df.dropna(subset = 'recommended', inplace = True) # drop rows with missing values in recommended column\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 5, "id": "b608b3fe", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(64440, 17)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.shape" ] }, { "cell_type": "code", "execution_count": 6, "id": "2b922507", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 64440 entries, 1 to 131894\n", "Data columns (total 17 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 airline 64440 non-null object \n", " 1 overall 62530 non-null float64\n", " 2 author 64440 non-null object \n", " 3 review_date 64440 non-null object \n", " 4 customer_review 64440 non-null object \n", " 5 aircraft 19717 non-null object \n", " 6 traveller_type 39754 non-null object \n", " 7 cabin 63302 non-null object \n", " 8 route 39725 non-null object \n", " 9 date_flown 39633 non-null object \n", " 10 seat_comfort 60681 non-null float64\n", " 11 cabin_service 60715 non-null float64\n", " 12 food_bev 52608 non-null float64\n", " 13 entertainment 44193 non-null float64\n", " 14 ground_service 39358 non-null float64\n", " 15 value_for_money 63975 non-null float64\n", " 16 recommended 64440 non-null object \n", "dtypes: float64(7), object(10)\n", "memory usage: 8.8+ MB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "code", "execution_count": 7, "id": "8902344e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "4679" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking Duplicate Rows\n", "df.duplicated().sum()" ] }, { "cell_type": "code", "execution_count": 8, "id": "a97cc0ec", "metadata": {}, "outputs": [], "source": [ "# Dropping Duplicate Rows\n", "df.drop_duplicates(inplace = True)" ] }, { "cell_type": "code", "execution_count": 9, "id": "5e586ab2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "overall 2.951758\n", "aircraft 69.065109\n", "traveller_type 37.184786\n", "cabin 1.768712\n", "route 37.229966\n", "date_flown 37.360486\n", "seat_comfort 5.940329\n", "cabin_service 5.891802\n", "food_bev 19.109453\n", "entertainment 32.681849\n", "ground_service 37.803919\n", "value_for_money 0.726226\n", "dtype: float64" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking Null Values\n", "df.isnull().sum()[df.isnull().sum() > 0] * 100 / df.shape[0]" ] }, { "cell_type": "markdown", "id": "0a46a6da", "metadata": {}, "source": [ "#### Observations:\n", "- We shall drop the `aircraft` column since it has approx 70% null values.\n", "- We shall also drop the `date_flown` column since it is irrelevant to our analysis." ] }, { "cell_type": "code", "execution_count": 10, "id": "a31eb742", "metadata": {}, "outputs": [], "source": [ "df.drop(columns=['aircraft', 'date_flown'], inplace=True)" ] }, { "cell_type": "code", "execution_count": 11, "id": "c606086e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(59761, 15)" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.shape" ] }, { "cell_type": "code", "execution_count": 12, "id": "7e687624", "metadata": {}, "outputs": [], "source": [ "# Furthermore, we shall drop the rest of the rows containing null values\n", "df.dropna(inplace=True)" ] }, { "cell_type": "code", "execution_count": 13, "id": "27829462", "metadata": {}, "outputs": [], "source": [ "# Resetting index\n", "df.reset_index(drop=True, inplace=True)" ] }, { "cell_type": "code", "execution_count": 14, "id": "499b9a66", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(22826, 15)" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Checking shape again\n", "df.shape" ] }, { "cell_type": "markdown", "id": "bd038de2", "metadata": {}, "source": [ "# Exploratory Data Analysis" ] }, { "cell_type": "code", "execution_count": 15, "id": "21d41cdc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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airlineoverallauthorreview_datecustomer_reviewtraveller_typecabinrouteseat_comfortcabin_servicefood_beventertainmentground_servicevalue_for_moneyrecommended
0Turkish Airlines7.0Christopher Hackley8th May 2019✅ Trip Verified | London to Izmir via Istanb...BusinessEconomy ClassLondon to Izmir via Istanbul4.05.04.04.02.04.0yes
1Turkish Airlines2.0Adriana Pisoi7th May 2019✅ Trip Verified | Istanbul to Bucharest. We ...Family LeisureEconomy ClassIstanbul to Bucharest4.01.01.01.01.01.0no
\n", "
" ], "text/plain": [ " airline overall author review_date \\\n", "0 Turkish Airlines 7.0 Christopher Hackley 8th May 2019 \n", "1 Turkish Airlines 2.0 Adriana Pisoi 7th May 2019 \n", "\n", " customer_review traveller_type \\\n", "0 ✅ Trip Verified | London to Izmir via Istanb... Business \n", "1 ✅ Trip Verified | Istanbul to Bucharest. We ... Family Leisure \n", "\n", " cabin route seat_comfort cabin_service \\\n", "0 Economy Class London to Izmir via Istanbul 4.0 5.0 \n", "1 Economy Class Istanbul to Bucharest 4.0 1.0 \n", "\n", " food_bev entertainment ground_service value_for_money recommended \n", "0 4.0 4.0 2.0 4.0 yes \n", "1 1.0 1.0 1.0 1.0 no " ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(2)" ] }, { "cell_type": "markdown", "id": "8eb37318", "metadata": {}, "source": [ "## 1. Airlines\n", "- Analyzing top 15 airlines with most number of reviews" ] }, { "cell_type": "code", "execution_count": 16, "id": "2a994c40", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of Distinct Airlines: 81\n" ] } ], "source": [ "print(f\"Number of Distinct Airlines: {df['airline'].nunique()}\")" ] }, { "cell_type": "code", "execution_count": 17, "id": "f7c96264", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualizing top 15 airlines based on the number of reviews\n", "plt.figure(figsize=(10,3))\n", "ax = sns.countplot(x='airline', data=df, order=df['airline'].value_counts().iloc[:15].index)\n", "\n", "for label in ax.containers:\n", " ax.bar_label(label, label_type='center')\n", " \n", "plt.title('Top 15 Airlines with most reviews')\n", "plt.xticks(rotation=90)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 18, "id": "2f112886", "metadata": {}, "outputs": [ { "data": { "image/png": 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zmZ6enuQ3HB8fzwCwv/76q1jzoSKiU/kKwNfXFyYmJpLTEgKBAP3798eBAweQm5sLAGjVqhUMDQ2l/gcdHx+PgIAA9O/fXzLs8OHDsLOzQ61atfD582fJo1WrVgCAy5cvS313ixYtYG9vL5OpYFu7+Ph4JCYmws3NDQ8ePJAMzz89N378eKlpJ02aJPWaMYajR4+ia9euYIxJ5Wrfvj0SExOlPvdbycnJAABtbe1Cx8l/LykpCQBQo0YN1K1bV2p+5ebm4siRI+jatavk7zt8+DB0dXXRtm1bqVwuLi7Q0tKSmV/W1tZo3769zPcXnF+JiYn4/PkzWrRogdDQUCQmJhaa+0eNHDkSRkZGqFy5Mjp06IDExETs3bsXDRo0KDRPYcuvJOzt7SXNB4C8IyI1a9ZEaGioZJi/vz+aNGki1YWTgYEBBg0aJPVZ+RdInDlzplR6Vfj3338BQOrUGwBMmzYNAGROTxa2LH/0O01NTTFw4EDJMBUVFUyePBkpKSm4evWq1Pg9evSAubm55HXDhg3RqFEjSfbS4OHhgQ0bNuCXX35B79694eXlBR8fH7x+/RqbNm367vRfvnzBuXPnpP6m3r17QyAQ4NChQ8XKUNh2pbiKs54dPnwYbm5u0NfXl/rttmnTBrm5uZIjXXp6ekhNTUVAQMAPZcj//vzPuXbtGho0aIC2bdvi2rVrAPKaEjx58kQqa0mMGTNGqkmEm5sbcnNz8e7du2JNP3r0aMlzPT091KxZE5qamujXr59keM2aNaGnpyc1D//99180bNgQzZo1kwzT0tLCmDFjEB4ejmfPnkk+8/3797h7926J/0Z5RCKRTBO14u7DiruN/9aP7I/yl8ONGzcA5K0Dbm5ucHNzk6wDT548QUJCgmQdyG/7fuXKFZnmYCQPFaY8l5ubiwMHDqBly5YICwvDmzdv8ObNGzRq1AjR0dG4ePEigLyLDHr37o2TJ09K2tkcO3YM2dnZUoXp69ev8fTpUxgZGUk9atSoASDv9GlB+ad0vnXmzBk0btwYampqMDAwgJGRETZv3ixVZL179w5CoVDmM77tTSA2NhYJCQnYtm2bTK78jdK3uQrKLzrzC1R55BWv/fv3x/Xr1/HhwwcAeV0uxcTEyMyvxMREGBsby2RLSUkp9vy6fv062rRpA01NTejp6cHIyEjSXqo0C9P58+cjICAAx48fx9ChQyWnlb5VnOVXElWrVpUZpq+vL7UBfvfundweJb4d1qJFC/Tu3RuLFi2CoaEhunfvjl27dsm0By2u/PXx2+8xNTWFnp6ezE6+sGX5o99pa2srswzyT+t++522trYyn1GjRo0yb3v2yy+/wNTUFBcuXPjuuAcPHkR2djacnZ0l26O4uDg0atRIqu17Uf7rvC3Oevb69Wv4+/vL/G7btGkD4Os2Zfz48ahRowY6duyIKlWqYOTIkYW2eS3IxMQEtra2kgIkvyhp3rw5Pn78iNDQUFy/fh1isfg/F6bf/r35TXOKU9ioqanJnDLX1dVFlSpVZNr/6urqyvxW5TVh+Xb9nTlzJrS0tNCwYUPY2tpiwoQJuH79ejH+sqKZm5vLXMD4I/uw4mzjv/Uj+6N69epBQ0ND7jpw7949ZGRkSN7LL+5FIhFWrlyJs2fPwsTERNLEIioq6j/Pr58FtTHlufwuWQ4cOIADBw7IvO/r64t27doBAAYMGICtW7fi7Nmz6NGjBw4dOoRatWqhTp06kvHFYjEcHR2xZs0aud9nYWEh9Vre/yqvXbuGbt26oXnz5ti0aRPMzMygoqKCXbt2yW08/z35FyIMHjwYw4YNkztOfnstefI3ko8ePSq0I/X8ixEKHqXp378/Zs+ejcOHD2PKlCk4dOgQdHV10aFDB6lsxsbGhe5wv93gy5tfb9++RevWrVGrVi2sWbMGFhYWUFVVxb///ou1a9fKXIjxXzg6Okp2vD169EBaWhp+/fVXNGvWTLJsS3v5FVTY1casBBfYCAQCHDlyBLdu3cLp06dx7tw5jBw5EqtXr8atW7ekujr60c8tDj5fgV8WLCwsEBcX993x8n8Lrq6uct8PDQ1FtWrVivyM/zpvi7OeicVitG3bttDeKPILGWNjYwQHB+PcuXM4e/Yszp49i127dmHo0KEyF6l9q1mzZrh48SLS09Nx//59zJ8/H7Vr14aenh6uXbuG58+fQ0tLC87OziX8S/P8l99VYdOW5m/Vzs4OL1++xJkzZ+Dv74+jR49i06ZNmD9/PhYtWvTDn5dP3nryI/uw4mzj5X0+ULz9kYqKCho1aoTAwEC8efMGUVFRcHNzg4mJCbKzs3H79m1cu3YNtWrVktpXTJkyBV27dsWJEydw7tw5zJs3D8uXL8elS5f+87ryM6DClOd8fX1hbGwsuYqyoGPHjuH48ePYsmUL1NXV0bx5c5iZmeHgwYNo1qwZLl26JGlMn6969eoICQlB69atf+iOLAUdPXoUampqOHfunNQFK7t27ZIaz9LSEmKxGGFhYVJHgt68eSM1npGREbS1tZGbmyspqn5Ex44doaSkhL179xZ6AdSePXugrKwstUGytrZGw4YNcfDgQUycOBHHjh1Djx49pP6m6tWr48KFC3B1dS3xzvT06dPIzMzEqVOnpI58fNsMoCysWLECx48fx59//oktW7YAKP7yA4pfxP0IS0tLmXUAkF0v8jVu3BiNGzfGn3/+CT8/PwwaNAgHDhyQOj1Z3O8Vi8V4/fq11IUo0dHRSEhIgKWl5Y/9IQUUNp8sLS3x6NEjiMViqaOmL168kLxf0OvXr2U+49WrV2V+QQRjDOHh4d/dKeZ3Wzdx4kS0aNFC6j2xWIwhQ4bAz88Pf/zxR1nGLZbq1asjJSWlWNsUVVVVdO3aFV27doVYLMb48eOxdetWzJs3r8j+ot3c3LBr1y5Js6qmTZtCKBSiWbNmksK0adOm3+0eqix+Z6XB0tISL1++lBkub/3V1NRE//790b9/f2RlZaFXr174888/MXv2bKipqZXa3/gj+7DibOO/9aP7Izc3N6xcuRIXLlyAoaEhatWqBYFAAAcHB1y7dg3Xrl1Dly5d5P4d06ZNw7Rp0/D69WvUrVsXq1evxr59+74/E35ydCqfx9LT03Hs2DF06dIFffr0kXlMnDgRycnJOHXqFABAKBSiT58+OH36NPbu3YucnByZUxb9+vXDhw8fsH37drnfl5qa+t1cSkpKEAgEkvatQN7V399e0Z/fPu/bdmsbNmyQ+bzevXvj6NGjcrvG+V63KBYWFhgxYgQuXLggtwumLVu24NKlSxg1ahSqVKki9V7//v1x69Yt7Ny5E58/f5Y7v3Jzc7FkyRKZz83JySnWXUzyd0oFj0QkJibKLQRLW/Xq1dG7d2/s3r1bcqqouMsPyNvZlPadWtq3b4+bN28iODhYMiwuLk7mqHR8fLzM0Zv8I+IlOZ3fqVMnAJC5Q1P+kRd5vUUUl6amptxmEJ06dUJUVJRUO7ecnBxs2LABWlpaMsXdiRMnJKcdAeDOnTu4ffu23M7rS0re72nz5s2IjY0t8kgS8PVo6YwZM2S2R/369UOLFi2KfTq/rPXr1w83b96Ue7OBhIQE5OTkAMhrM1uQUCiUHBH73nqWf4p+5cqVcHJygq6urmT4xYsXce/evWKdxi+L31lp6NSpE+7cuYObN29KhqWmpmLbtm2wsrKSnIH6dh6qqqrC3t4ejDFJ+/D8Pm7/69/5o/uw723jv/Wj+yM3NzdkZmbCy8sLzZo1kxTLbm5u2Lt3Lz5+/Ci1DqSlpSEjI0PqM6pXrw5tbe0SN1P62dARUx47deoUkpOT0a1bN7nvN27cGEZGRvD19ZX82Pr3748NGzZgwYIFcHR0lOmiZMiQITh06BB+++03XL58Ga6ursjNzcWLFy9w6NAhSb+NRencuTPWrFmDDh064JdffkFMTAw2btwIGxsbqf77XFxcJBdXfPnyRdJd1KtXrwBIHyVYsWIFLl++jEaNGuHXX3+Fvb094uLi8ODBA1y4cOG7pxjXrl2LFy9eYPz48fD395fsYM+dO4eTJ0+iRYsWWL16tcx0/fr1w++//47ff/8dBgYGMv9DbtGiBcaOHYvly5cjODgY7dq1g4qKCl6/fo3Dhw9j3bp1Uv3hydOuXTvJEZmxY8ciJSUF27dvh7GxMT59+lTktKVh+vTpOHToELy8vLBixYpiLz8gbxleuHABa9asQeXKlWFtbf2fb4k7Y8YM7Nu3D23btsWkSZMk3UVVrVoVcXFxkvXCx8cHmzZtQs+ePVG9enUkJydj+/bt0NHRkRSZP6JOnToYNmwYtm3bhoSEBLRo0QJ37tyBj48PevToIbfPw+JycXHBwYMH4enpiQYNGkBLSwtdu3bFmDFjsHXrVgwfPhz379+HlZUVjhw5guvXr8PLy0vmgj0bGxs0a9YM48aNk+zsKlWqVKybI+zduxfv3r1DWloagLyLcpYuXQog73eff3TL0tIS/fv3h6OjI9TU1BAUFIQDBw6gbt26GDt2bJHf4evri7p168o0+cnXrVs3TJo0CQ8ePEC9evW+m7ksTZ8+HadOnZLcCc7FxQWpqal4/Pgxjhw5gvDwcBgaGmL06NGIi4tDq1atUKVKFbx79w4bNmxA3bp1C+3iKZ+NjQ1MTU3x8uVLqYs6mzdvjpkzZwJAsQpTFxcXbN68GUuXLoWNjQ2MjY0lF/NwadasWdi/fz86duyIyZMnw8DAAD4+PggLC8PRo0clZwHatWsHU1NTuLq6wsTEBM+fP8f//vc/dO7cWbKOu7i4AMjrXm3AgAFQUVFB165df/hufD+6D/veNl6eH9kfNWnSBMrKynj58qWkWz0gbx3IP1BScB149eoVWrdujX79+sHe3h7Kyso4fvw4oqOji+zCqkLhpjMAUhxdu3ZlampqLDU1tdBxhg8fzlRUVCTdWojFYmZhYcEAsKVLl8qdJisri61cuZI5ODgwkUjE9PX1mYuLC1u0aJFUdzEA2IQJE+R+hre3N7O1tWUikYjVqlWL7dq1S27XMKmpqWzChAnMwMCAaWlpsR49eki68VixYoXUuNHR0WzChAnMwsKCqaioMFNTU9a6dWu2bdu2Ys2vzMxMtnbtWubi4sI0NTWZhoYGq1evHvPy8mJZWVmFTufq6iq3G6GCtm3bxlxcXJi6ujrT1tZmjo6ObMaMGezjx4+ScSwtLVnnzp3lTn/q1Cnm5OTE1NTUmJWVFVu5ciXbuXOnTPcp/7W7qMOHD8t9393dneno6Ei6lynu8nvx4gVr3rw5U1dXZwAkXUcV1o2PvL//27+JMcYePnzI3NzcmEgkYlWqVGHLly9n69evZwBYVFQUYyyvi6+BAweyqlWrMpFIxIyNjVmXLl3YvXv3ipwXjMnvLooxxrKzs9miRYuYtbU1U1FRYRYWFmz27NksIyNDaryilqU8KSkp7JdffmF6enoMgFTXUdHR0WzEiBHM0NCQqaqqMkdHR5nlmb+c//rrL7Z69WpmYWHBRCIRc3NzYyEhIcXKkN+9jrzH5cuXJeONHj2a2dvbM21tbaaiosJsbGzYzJkzJV3eFCa/+7d58+YVOk54eLhU91aFdRdV2HYFxewuqrjrWXJyMps9ezazsbFhqqqqzNDQkDVt2pT9/fffkm3CkSNHWLt27ZixsTFTVVVlVatWZWPHjmWfPn0qanZI9O3blwFgBw8elAzLyspiGhoaTFVVlaWnp0uNL+9vioqKYp07d2ba2toMgOTvyB/32y7T8n/vBZerPIX9Dlq0aCG3eyd58/bt27esT58+TE9Pj6mpqbGGDRuyM2fOSI2zdetW1rx5c1apUiUmEolY9erV2fTp02W6H1uyZAkzNzdnQqHwu11HFZaRseLvw/J9bxv/7XrH2I/tjxo0aMAAsNu3b0uGvX//ngFgFhYWUuN+/vyZTZgwgdWqVYtpamoyXV1d1qhRI3bo0KFC50VFI2CsBC2dCfkPgoOD4ezsjH379sl0EUQqrilTpmDr1q1ISUmpcLdsDA8Ph7W1Nf766y+pu7QRQkhFQ21MSZlKT0+XGebl5QWhUIjmzZtzkIjwwbfrxZcvX7B37140a9aswhWlhBBCvqI2pqRMrVq1Cvfv30fLli2hrKws6Y5lzJgxhbZTIz+/Jk2awN3dHXZ2doiOjoa3tzeSkpIwb948rqMRQgjhEBWmpEw1bdoUAQEBWLJkCVJSUlC1alUsXLhQphsrUrF06tQJR44cwbZt2yAQCFCvXj14e3vTUXRCCKngqI0pIYQQQgjhBWpjSgghhBBCeIEKU0IIIYQQwgsK3cZULBbj48eP0NbW5u0t3QghhBBCKjLGGJKTk1G5cmWp2zPLo9CF6cePH+nKbkIIIYQQBRAZGSlza/BvKXRhmn+rs8jISOjo6HCchhBCCCGEfCspKQkWFhYyt2GWR6EL0/zT9zo6OlSYEkIIIYTwWHGaXdLFT4QQQgghhBeoMCWEEEIIIbxAhSkhhBBCCOEFKkwJIYQQQggvUGFKCCGEEEJ4gQpTQgghhBDCCwrdXRQh/4WHhwdiY2MBAEZGRli3bh3HiQghhJCKjQpTUmHFxsYiOjqa6xiEEEII+X90Kp8QQgghhPACFaaEEEIIIYQXOC1Mc3NzMW/ePFhbW0NdXR3Vq1fHkiVLwBjjMhYhhBBCCOEAp21MV65cic2bN8PHxwcODg64d+8eRowYAV1dXUyePJnLaERBHNnVocTTpqVkF3geXeLP6jPCv8QZfgZ0ERkhhJDSwmlheuPGDXTv3h2dO3cGAFhZWWH//v24c+cOl7EIIT+ALiIjhBBSWjg9ld+0aVNcvHgRr169AgCEhIQgKCgIHTt2lDt+ZmYmkpKSpB6EEEIIIeTnwOkR01mzZiEpKQm1atWCkpIScnNz8eeff2LQoEFyx1++fDkWLVpUzikJIYQQQkh54PSI6aFDh+Dr6ws/Pz88ePAAPj4++Pvvv+Hj4yN3/NmzZyMxMVHyiIyMLOfE5GeiqSGAtiagrZn3nBBCCCHc4vSI6fTp0zFr1iwMGDAAAODo6Ih3795h+fLlGDZsmMz4IpEIIpGovGOSn1TP9nR/CUIIIYRPON0zp6WlQSiUPmirpKQEsVjMUSJCKq4Rx0vWK8HntOwCz6NL/DkAsKtnxe7hgBBCKjpOC9OuXbvizz//RNWqVeHg4ICHDx9izZo1GDlyJJexCCGEEEIIBzgtTDds2IB58+Zh/PjxiImJQeXKlTF27FjMnz+fy1iEEEIIAfVTTMofp4WptrY2vLy84OXlxWUMQgghhMhB/RST8sbpVfmEEEIIIYTko8uSCSH/ibKWAAAr8JwQQggpGSpMCSH/iUlv2owQQggpHXQqnxBCCCGE8AIVpoQQQgghhBfoHBwhhBDykzt25HOJpktLE0s9L+nnAECvPoYlnpZUHHTElBBCCCGE8AIVpoQQQgghhBeoMCWEEEIIIbxAhSkhhBBCCOEFuviJEEII4QDdh54QWVSYEkIIIRyg+9ATIosKU0IIIYTIpaVpIPc5IWWFClNCCCGEyNWr52KuI5AKhi5+IoQQQgghvECFKSGEEEII4QUqTAkhhBBCCC9QG1NCCCGEEMKLLsyoMCWEEEL+g8nHI0s0XVxajtTzkn4OAKzvaVHiaQnJx4cuzOhUPiGEEEII4QUqTAkhhBBCCC9QYUoIIYQQQniBClNCCCGEEMILVJgSQgghhBBeoKvyCSGEEA6oaBnIfU5IRUaFKSGEEMIB695zuY5AflLR66+UaLrcpAyp5yX9HAAwmexeounoVD4hhBBCCOEFKkwJIYQQQggvUGFKCCGEEEJ4gQpTQgghhBDCC1SYEkIIIYQQXqDClBBCCCGE8AIVpoQQQgghhBeoH1NCCCE/HQ8PD8TGxgIAjIyMsG7dOo4TEcJ/Buo6cp+XJypMCSGE/HRiY2MRHR3NdQxCFMpCt+FcR6BT+YQQQgghhB+oMCWEEEIIIbxAhSkhhBBCCOEFKkwJIYQQQggvUGFKCCGEEEJ4ga7KJ4QQwks9jwaVeNrktEzJ85i0zBJ/1vHezUqcgRDy4+iIKSGEEEII4QUqTAkhhBBCCC9wXph++PABgwcPRqVKlaCurg5HR0fcu3eP61iEEEIIIaSccdrGND4+Hq6urmjZsiXOnj0LIyMjvH79Gvr6+lzGIoQQQgghHOC0MF25ciUsLCywa9cuyTBra2sOExFCCCGEEK5weir/1KlTqF+/Pvr27QtjY2M4Oztj+/bthY6fmZmJpKQkqQchhBBCCPk5cHrENDQ0FJs3b4anpyfmzJmDu3fvYvLkyVBVVcWwYcNkxl++fDkWLVrEQVJCuOHh4YHY2FgAgJGREdatW8dxIkIIIaTscFqYisVi1K9fH8uWLQMAODs748mTJ9iyZYvcwnT27Nnw9PSUvE5KSoKFhUW55SWkvMXGxiI6OprrGIQoHKGmDsQFnhNCFAOnhamZmRns7e2lhtnZ2eHo0aNyxxeJRBCJROURjRBCiALT7DWK6wiEkBLgtI2pq6srXr58KTXs1atXsLS05CgRIYQQQgjhCqeF6dSpU3Hr1i0sW7YMb968gZ+fH7Zt24YJEyZwGYsQQgghhHCA08K0QYMGOH78OPbv34/atWtjyZIl8PLywqBBg7iMRQghhBBCOMBpG1MA6NKlC7p06cJ1DEIIIYQQwjHOC1NCKoL1vu1LNF1Sak6B59El/hwAmDzoXImnJYQQQsoDp6fyCSGEEEIIyUeFKSGEEEII4QUqTAkhhBBCCC9QYUoIIYQQQniBLn4ihFQIHh4eiI2NBQAYGRlh3bp1HCcihBDyLSpMCeExdQ35z8mPi42NRXR0NNcxCCGEFIEKU0J4zK0L/UQJIYRUHNTGlBBCCCGE8AIVpoQQQgghhBeoMCWEEEIIIbxAhSkhhBBCCOEFKkwJIYQQQggv0CW/hBCF0en40hJPm5mWKHkenZZY4s/6t+cfJc5ACCkb1E/xz4MKU0IIIYQoNOqn+OdBp/IJIYQQQggvUGFKCCGEEEJ4odin8pOSkor9oTo6OiUKQwghhBBCKq5iF6Z6enoQCARFjsMYg0AgQG5u7n8ORgghhBBCKpZiF6aXL18uyxyEEEIIIaSCK3Zh2qJFi7LMQQghZUqgJQIr8JwQQgj/FLswffToUbE/1MnJqURhCCGkrKj2rsd1BEIIId9R7MK0bt26EAgEYIwVOR61MSXU0TEhPy/6fZOy8nBHTImnzUrJlXpe0s9yHm1c4gykdBS7MA0LCyvLHOQnQh0dE/Lzot83IaQsFbswtbS0LMschBBCCCGkgvtPtyR99uwZIiIikJWVJTW8W7du/ykUIYQQQgipeEpUmIaGhqJnz554/PixVLvT/H5OqY0pIYQQQgj5USW6JamHhwesra0RExMDDQ0NPH36FIGBgahfvz6uXLlSyhEJIYQQQkhFUKIjpjdv3sSlS5dgaGgIoVAIoVCIZs2aYfny5Zg8eTIePnxY2jkJIYQQQshPrkSFaW5uLrS1tQEAhoaG+PjxI2rWrAlLS0u8fPmyVAMS7tzc1qVE02UmZxR4HlPizwGAJmPOlHhaQgghhCiWEhWmtWvXRkhICKytrdGoUSOsWrUKqqqq2LZtG6pVq1baGQkhhJSyrkeOlWi69LQ0yfOYtLQSfw4AnO7Tq8TTElKQrnoluc+J4ilRYfrHH38gNTUVALB48WJ06dIFbm5uqFSpEg4ePFiqAQkhhBBCijKx7UKuI5BSUqLCtH379pLnNjY2ePHiBeLi4qCvry+5Mp8QQsiPobsqEUIquh++Kj87OxvKysp48uSJ1HADAwMqSgkh5D/Iv6tSdHS0pEAlhJCK5IePmKqoqKBq1arUVykplI6GQO5zQgghhJCilOhU/ty5czFnzhzs3bsXBgYGpZ2JKLgxrUVcRyCEEEKIAipRYfq///0Pb968QeXKlWFpaQlNTU2p9x88eFAq4QghhBBCSMVRosK0R48epRyDEEIIIYRUdCUqTBcsWFDaOQghhCgAgaaW3OeEEFIaSlSYAkBCQgKOHDmCt2/fYvr06TAwMMCDBw9gYmICc3Pz0sxISInkihkOn3iDwFufkJCYCQM9EdxdzdG7a7VCe5CIT8iEz8EXCA1PQlRMGjq2rooRv9iVc3Ki6Dof3VGi6TLSUiTPo9NSSvw5APBP79ElnrYoaj2pU3xCSNkpUWH66NEjtGnTBrq6uggPD8evv/4KAwMDHDt2DBEREdizZ09p5yTkh538Nwznr0RiwihHWJhr4W14IjZ5P4GGujI6tbWUO012jhg62qro3aUazgS8K+fEhBBCSMX2w/2YAoCnpyeGDx+O169fQ01NTTK8U6dOCAwMLLVwhPwXL98koH5dY7jUMYKxoTqa1DdFndqV8CYssdBpjA3VMfIXO7RwNYeGeolPKBBCCCGkBEq057179y62bt0qM9zc3BxRUVElCrJixQrMnj0bHh4e8PLyKtFnEFJQTRs9XLgaiY9RqahsqonwiCS8eJ2AYf1rch1N4RweexWpsRkyw2t1sEDjMfYyw8U5Yjw6Foq3lz8iNS4TupU14DKkBqrUMyqPuIQQQhRUiQpTkUiEpKQkmeGvXr2CkdGP73jyC10nJ6eSxCFErh6drJGWnoMpc4MgFAogFjMM7GULtyaVuY6mcLquagKxmEleJ0Sk4Pyie7Bsaip3/Ad+rxEa+AlNxzlA11wTH4I/4/KqYHRa1giVqumUV2xCCCEKpkSn8rt164bFixcjOzsbACAQCBAREYGZM2eid+/eP/RZKSkpGDRoELZv3w59ff2SxCFErpt3oxB06xM8xjhh5YImmDDKEaf8w3Hl+geuoykcNV1VaOiLJI/IezHQNlWHqYP83+zbq5/g2LsaqrgYQdtUA7U6VEWVeoZ4eiq8fIMTQghRKCUqTFevXo2UlBQYGxsjPT0dLVq0gI2NDbS1tfHnn3/+0GdNmDABnTt3Rps2bb47bmZmJpKSkqQehBRm76FX6NHJGq6NzGBZRRstmlZGl3aWOP5PGNfRFFputhihgZ9g26pKob0biLPFUFKR3rwoqSoh+nl8eUQkhBCioEp0Kl9XVxcBAQEICgrCo0ePkJKSgnr16hWruCzowIEDePDgAe7evVus8ZcvX45FixaVJDKpgDKzciH45r9eQqEAjDH5E5BiibgTg6zUHNi0KrxJRGXnSnh2Ohym9vrQNtXAp0df8O5WNJiY5n1RBJrqYAWeE0JIRVOiwjQyMhIWFhZo1qwZmjVrVqIvjoyMhIeHBwICAqSu7C/K7Nmz4enpKXmdlJQECwuLEn0/+fm51DXCsTOhMDRQh4W5FsLeJeH0uXC0cvvaz67vkVeIi8/EpF8dJcPCIvKOxGdk5CIpJRthEUlQVhLCwpw6EweA1xffw7yeITQMCv/dNhpph+ubn+L45CAAAmibqsO2lTleX6JmFEUR9WrLdQRSAf02vh5iYyNlhndoPwK/jl4lM/zS5f3YuGmy1DAVFREO+L0vs4yk4ihRYWplZYVmzZph8ODB6NOnT4naht6/fx8xMTGoV6+eZFhubi4CAwPxv//9D5mZmVBSUpKaRiQSQSQSlSQyqYBG/WKHA8dfY8e+Z0hMyoKBnght3S3Qp1t1yTjxiZn4HJcuNd2MhTclz0PfJSHo1icYVVLDpr9alFt2vkqJScenR1/QcoZzkeOp6aqi9Sxn5GTlIjM5GxoGItzf+wraJnQUkBC+Wbn8PMTiXMnriMgXWLykD5o06V7oNBrq2li/7uu2srBmPYT8qBIVpvfu3YOfnx8WL16MSZMmoUOHDhg8eDC6du1a7MKxdevWePz4sdSwESNGoFatWpg5c6ZMUUrIj1JXV8aIX+yKvHPTxFGOMsMO72xflrEU2utLH6Cmo4oqLobFGl9ZVQnKlZQgzhHj3a1oWBVyFT8hhDu6utK/5+Mn1sPUxAoO9k0Ln0gggL6+SRknIxVRiQpTZ2dnODs7Y9WqVbhy5Qr8/PwwZswYiMVi9OrVCzt37vzuZ2hra6N27dpSwzQ1NVGpUiWZ4YQQ7jExw5tLH1C9pTmEStKNd6+tewyNSiK4DK4BAIh9lYC0uEwYWGkjLS4TwQffgDGgdk9rLqITQoopOzsLgdeOoGuX34o8CpqRkYqx45zBmBjVrJ3wyy9zUdWiVjkmJT+rEl2Vn08gEKBly5bYvn07Lly4AGtra/j4+JRWNkIIj3x89AWpnzNg29pc5r2Uz+lIi8+UvM7NFuOB32sc97iOSysfQsNADZ3+bAiRpkp5RiaE/KA7d/9FamoiWroPLHQc88o2mDB+HWbN2AOPSZsgZmLMndsJX758LMek5Gf1n+65+P79e/j5+cHPzw9PnjxBkyZNsHHjxhJ/3pUrV/5LHEJIGTKva4jhx+Q3c+i4pKHUa1MHA/RcX7ILIwkh3Ll4yRfOzq1hYFB4s5uaNRugZs0GBV43hMeUpjgf4IOBA2aXR0zyEytRYbp161b4+fkhKCgIdnZ2GDRoEE6ePAlLS8vSzkcIIYQopN1jmyI5VvZKdccOQ+E+ZqnM8C8RL3H7wBrEvH2M5Nj3cBsxH3W7ji6PqACAmNhIPH4UiOnTd//QdMrKKrC2dsSnKOojmvx3JSpMly5dioEDB2L9+vWoU6dOaWcihBBCFF7/Vaelrnb/EvESJxcNgk3TznLHz8nMgI5JVdg07YxrO8u/z+7Ll/dDR9cQLvV+rNuy3NxcvIt4jnrOP9aXOSHylKgwjYiIQGJiIry9vbFhwwYAgL29PUaNGgVdXd1SDUgIIYQoInXdSlKv7x/bBF1TS5g7NJY7voltHZjY5h3subF3RZnnK0gsFuPS5f1wb9EfSkrSpcH6DRNgYGCKwYPmAQAOHf4bNWq4wNTUGmmpiThxaiM+x75Hm9aDyzUz+TmVqDB98OAB2rdvDzU1NTRsmNe2bO3atVi2bBnOnz8v1TcpIYQQUtHlZmfhZeBx1O36Ky/7/Hz0+Co+f36P1q0Gybz3+fN7qcypqQnYvMUTCQkx0NLURbVqdfDnn//AwqJmeUYmP6kSFaZTpkxB165dsX37digr531ETk4ORo8ejSlTpiAwMLBUQxJCCCGKLPTOOWSmJsGuVR+uo8hVt05LHD0cK/e9xYtOSr0eMXwpRgyXbSNLFMOnhFgsPbUNl57fQXp2BqwMzeH1y0zUrVr4fyyO3gvAxosHEBb7Adrqmmhl1xDzu/8GA83SP0te4g72CxalAKCsrIwZM2agfv36pRaOEEII+Rk8u3gQlvXcoVXE1e6ElLWEtGR0XTcJrjbO8P1tBSpp6SEs9j30NAq/5fad0MeYtG8FFvccj7a1myIq4TNmHFqD3w+sxs5Ri0s9Y4kKUx0dHURERKBWLenOdCMjI6GtrV0qwQghhJCfQVLMe0Q+CkKnGdu4jkIquP9d2A9zPWOsGzRTMsyyklmR09wLfwYLA1OMbtFbMv4Q167YeGF/mWQsUQf7/fv3x6hRo3Dw4EFERkYiMjISBw4cwOjRozFwYOGd8hJCCCEVzfNLh6CuUwlWLq24jkIquHNPbqCORU2M3rUQDnN7os2qX7Hvxpkip6lvZY+PCTG48PQWGGOITYrDmeCraG3fqEwyluiI6d9//w2BQIChQ4ciJycHAKCiooJx48ZhxYryvZKwovHw8EBsbF47ICMjI6xbt47jRIQQQgrDxGI8v3QYtVr2gfCbq93Pr5sCrUqmaDp4FoC8C6Ti3r8GAIhzspASF43YsKdQUdOEnplVeUcnP6GILx/hc/0kxrr3hUfbQQiOeIE/jm2AirIy+jfsIHeahtUcsXHIXIz1WYzM7CzkiHPRrnZTLO87pUwylqgwVVVVxbp167B8+XK8ffsWAFC9enVoaGiUajgiKzY2FtHR0VzHIIQQUgyRj4KQ/PkD7Fv3l3kv5fNHCIRfT1ymxkfjwLSOktcPT27Fw5NbYe7QGL2WHCqXvOTnJmYMdSxqYk7XXwEAjlVs8eJTGPZcP11oYfoyKhzzjv0Pnu2HomWtBohO+oLFJ7dixsE1WPvLjFLP+J9uSaqhoQFHR8fSykIIIYT8VKrWbY5JxyLkvvdtsaljbFHouISUBmOdSqhhKn2XTlsTS/wTcq3QaTYE+KFBtdqY0HoAAMDevDo0VNXRff1kzOo8Cibf9Nf7X/2nwpQQQgjhSvqXWDzdtxnRD28jNysDWqZV4Dx+NvRtaskd/+Otqwg7fwKJ4a8hzs6GtoU1avUbAZO6ZdNWjhC+aWjtgLcxkVLDQmPeo4q+SaHTpGdlQElJSWqY0v8f6WdgpZ6xRBc/EUIIIVzKSklG4B/jIVRWRtO5f6H12r2oPXQCVLUK7xnm8/MQGDvVR5M5f8F91Q4YOTjj1opZSAh9VY7JCeHOGPe+uB/+DOvO70NY7Accu3cBe2+ewQi37pJx/jy9HRP3LZO8blu7Kf4NuYbdQSfx7vNH3Al9jLlHN8DZshZMdQ1LPSMdMSWEEKJwXp/whUYlY9SbMEcyTNOkcpHTOI2YLPXaftBYfLobhKj716FXrUaZ5CSET5wta2HnqCVYdmY71pzbg6qVzLCk5wT0rt9WMk500hd8iI+RvB7QqANSMtOw89pxLDqxGTrqWmhm64w/uo0pk4xUmHLk40bPEk2Xmxwn9byknwMAlSesKfG0hBDCpah7QTCu0xB3/p6Hz8+CoW5gBOv2PWDVtluxP4OJxcjJSIOqlk4ZJiWEX9rVboJ2tZsU+v76QbNkho1u3gujm/cqy1gSVJgWQF0xEUKIYkiN/oSw8ydh06UfavQagoS3L/Bo1zoIVVRQ1b3j9z8AwJtT+5GTkQ7zptS/KCF8QYVpAdQVEyGEKAbGxNCvVgv2g8YCAPSq1UBSRCjCzp8sVmEaeS0ALw7vRqOZyyHS1S/ruISQYqKLnwghhCgcNb1K0LaQ7vZGu4ol0j9//+DC+6ALCN68Eg08F8HYqX5ZRSSElAAdMSWEQ2ePvoH/8VCpYcZmGpj7VzO5429YehdvXsTLDLevY4ix0+uVSUZC+KhSLUekfJDu9iblYyQ0DE2LnO590AU82LQcDaYshKlL07KMSAgpASpMCeGYaRVNTJj19aiNUElQ6Lgjp9RFbo5Y8jo1JRur5txE3UaF90FHyM+oepd+CJw7Di+P7oF501aIf/Mc4RdOo+7Y6ZJxnvpuQcaXz3CZ/AeAvNP3D/73JxxHeEDf1h4Z8V8AAEqqIqhoanHydxBCpFFhqmAM1FXkPieKS0kohI6eqFjjampJL/MHt6KgoipE3YZUmJKKRd/GDo2m/4lnftvw8ogPNIzN4Dh8Eiyat5OMkxH/BWkFTu2HB5wCy83Fox1r8GjH115JLNw7wGXi3HLNTwiRjwpTBTOvhS3XEUgpi41OxbyJV6GiIoSVrS669LOFgaF6saa9deUD6jUxhUiNfsqk4jGt7wrT+q6Fvv9tsem2eENZRyKE/Ec/3d4sdvO+Ek+bm5wq9bykn2U0bnCJM5CKxdJGF7+MqQ1jM00kJWTC//hbrF9yF7NWNIWaetE/z3dvE/HpfQoG/upQTmkJIYSQskVX5RPCIfs6RnBuZArzqtqwczLE2N/rIT0tBw9vR3132ltXPsDMQguW1XXLISkhhBBS9n66I6aEKDINTRUYmWrgc3R6keNlZuTgwa0odOxdvZyS8d/rA5fw5tBlqWGa5oZovsFD7viRAffw4UowkiPy2iDqVq+MGoPaQs+2SplnJYQQIh8VpoTwSGZGDr7EpEFHz6zI8YLvRCMnR4wGrkWPV9FoWRij4cLhktcCpcJPCn15EgazZo6wr9UZQhVlhB6/hruLfOC2bhLUKtEtKgkhhAtUmBLCoRN+L1Hb2Qj6hupIis/Ev8feQCAUwKVJXsG5b8tj6OqroWt/6Yvebl35AEcXY2hqq3IRm7cESkKI9LWLNW7dqX2lXjuO74GoW8/w5dFbmLd0Lot4hBBCvoMK0wIqqWvIfU5IWUmIy4TPxsdITcmClrYqqtXUh+fCRtDSySs44z9nQCCQ7tc0+mMqQl8lYNxMFy4i81rapy+4NGoVhKrK0KthgZqD20LdSK9Y0+ZmZYPl5kJFm377hBDCFSpMC1jUsjPXEUgFM3yiU5HvT/qjgcwwk8qaWLevnZyxKza9GlXgOKkXNCsbIjM+GW8OXcatuTvgtm4SlNW/30/syz3nIdLXRiWnauWQlhBCiDx0VT4h5KdgVK8GzJrWho6VKYycbVH/jyHIScvAp+tPvjvt22OB+HT9MerN/AVKqnTjCkL4btfZ9aj3qwn+OvBHoeNk52Rj2+nV6DanIRqPq4r+i1ri+pNL5ZiSlAQVpoSQn5KKpjo0zQyRFvWlyPFCTwQh9Ng1NJg/DDpWRd9nnRDCvadhD3H06h7YVrEvcrxNJ1bgaOAezBi4DEcWB6JPi2H4fdMIvIh4XE5JSUlQYUoI+SnlpGciLTquyIuhQo9fw9sjV1B/3lDo2piXYzpCSEmkZaRi7o7xmDd0NXQ09Ioc959bhzGykweaObZBFSMr9HUfDlfH1th7fnP5hCUlQm1MyX+2x/8Nthx/iX6trDClv/y7EE1YfRMPX8XJDG9S2wirJzUs64ikAnix2x9GDWpC3UgPmXHJeH3gEiAUwKxZXjvekHVHoFZJBzUH57XPfXssEK8PXELdqX2hYayHzPhkAICSmmqx2qQSQsrfCr9ZaObUBo3sW2DHP15FjpudkwWRsvRvWaSihuA3d8owIfmvqDAl/8mz8AScDIyATZWiu+hZ/psLsnPEkteJqdkYtuQaWrlQP5ykdGR8SUTImsPISk6Dqo4mDOyqosmKsRDpaua9/zkRAuHXk0SR5+6C5eTi4V8HpD7Hpl9L2A5oVa7Z+ezN8WN44ecL606d4TBiZKHjZaem4sV+P0TdvoXslBSoGxnBfvgImNSj3iNI6Th35zheRDzC3rnnijV+Ewd37AvYino1mqCKkRXuvLiGyw//Ra44t4yTkv+CClNSYmkZOVjkHYxZQ5yw+9/XRY6roynd3+aFu58gUlWiwpSUmrrT+hf5fqMlo6Reu2+dVpZxfgoJb97gXUAAtC0tixxPnJ2NW0sWQaSjC5dp06FmYID02FioaGqWU1Lys4uK+4C/DvyBTZ6HIFJRK9Y00wcsxZI909BrnisEAgGqGFmha9MBOHV9fxmnJf8FFaakxFbvf4KmjsZoYGf43cL0W6evR6JNfTOoi2gVJISPctLT8XC9F5x++w2vjx4tctzIy5eQnZIC16XLIFTO+01rGBuXR0xSQTx/F4K45M8YtKStZFiuOBcPXt/Eocs7cWtzJJSESlLT6GsbYs0EH2RmZyAxJR5GeqZYf3QpzA2L/o8W4RZVBaREAu5+xMuIJHjPcf3haZ+FJSD0YzLmDC26D09CCHeeeO+AcT0XGDnV+W5hGnXvLvRr1MSTHdsRde8uRDo6qNzMDTbde0CgpFTktIQUR0O75ji08IrUsIW7psDKzAbDO0yUKUoLEqmowVjfDNk52bj44Aza1u9WxmnJf0GFKflh0XHp8Dr4FOumNIJI5cd3OqevR6K6uTbsrfVKPxwh5D/7cD0IiaGhaLZiZbHGT4uOxpcnT2DezA0NZ89FWlQUHu/YBpabixp9+5VxWlIRaKppwcbcTmqYukgDupr6kuHzvCfCWN8Uk3rl9W36OPQ+YhKiUNPCATHxUdh6+i8wJsbwDhPLPT8pPipMyQ97EZGI+OQsjPgzSDIsV8wQ/DoOR6+8w5WNHaEkFMidNj0zBxfufsTobjXKKy4hvPX2+Fm89D0Gq86tYT9igNxxIgIC8eHqTSRHfgQA6FazRM1fekLP1rpMMqV//oynu3ai8bz5UFJV/f4EAMAYVHV04TT2NwiUlKBXvToy4r7g7amTVJiSchMV9wFCwdcLHLOyM7HpxAp8iH0HDTVNuNZujaWjNkJbQ5fDlOR7qDAlP6x+LUPsnd9catifPiGwNNXC4PbVCy1KAeDS/U/IzhGjQyPqM5JUbAlvwhARcBXallWKHC/u6UtUbtYQ+jWrQ6iqgrcn/HFnyVo0X7sIapX0Sz1XYuhbZCUm4tqM6ZJhTCxG3PNnCPc/i05+B2ROz4v09CFUVpIarlWlCjITEiDOzoZQhe6mRUrf9unHi3ztUrMpji6+Vp6RSCmgwpT8ME01ZVQ3l+4eSl2kBF1NFcnwxbuCYaSnhnE9a0mNd+Z6JNzqmkBXq5hHYgj5CeWkZyB43Q44/jYUb478U+S4daf8KvXa6bdhCLj1AJ8fP0cV96alns3Q0QnNV6+VGhay6X/QqmyO6j16ym0zalCrFj4EXQMTiyVdcqV8/AiRvj4VpYSQH0J3fiJlIjouHV8SM6WGvYtKQcibeHR1teAoFSH88HSHH4zrOcHQqehbKsqTm5UFcW4uVLTKpismZXV16FStKvVQEqlBVVsbOlWrAgAebliP5777JNNYtmuP7JQUPN21EykfPyL6/n28OX4MVu07lElGQsjPi9MjpsuXL8exY8fw4sULqKuro2nTpli5ciVq1qzJZSxSAhunNSnyNQBYmmrhxtbO5RWJEF76GHQHiWERcF0xt0TTv9h3FGr6eiUqaktL+ufPEAi+NtlRNzREo7nz8NRnFwJ/94SagQGsO3WGTfcenGUkhCgmTgvTq1evYsKECWjQoAFycnIwZ84ctGvXDs+ePYMmdcxMCPnJpH+Ow7NdB9BwnieUVH/8FPfb42fx6fodNFo4vUTTl1TTRYuLfA0A+jVrotmyFeUViRDyk+K0MPX395d6vXv3bhgbG+P+/fto3rx5IVMRQohiSgx9h6zEZFyfsUQyLO/Cotd4d/YyOuzfDIGS/BZWoSfP4e3xs2g43xM6VkVfMEUIIYqKVxc/JSYmAgAMDAw4TkIIIaXP0NEObmsWSg17tHEXNM3NUL1Hh0KL0rcn/PH22L9o8IcH9Gysyj4oIYRwhDeFqVgsxpQpU+Dq6oratWvLHSczMxOZmV8vqElKSiqveIQQ8p8pq6tBu6p0V2lKIhFUtTUlw0PWe0NUSR+1BvUCkHf6/vXBU6gzZTQ0jAyRGZ/3H3glNRGU1Yt3z3BCCFEUvClMJ0yYgCdPniAoKKjQcZYvX45FixaVYypCCClf6Z/jgAJ9AUecvwpxTg4e/r1Fajybvl1Roz/dWpEQ8nPhRWE6ceJEnDlzBoGBgahSpfC2U7Nnz4anp6fkdVJSEiwsqOshQojiarx4epGvW26mC4oIIRUHp4UpYwyTJk3C8ePHceXKFVhbF32LPZFIBJFIVE7pCCGEEEJIeeK0MJ0wYQL8/Pxw8uRJaGtrIyoqCgCgq6sLdXV1LqMRQgghhJByxmlhunnzZgCAu7u71PBdu3Zh+PDh5R+IB3yuhWDvtUeIjMu7sKuGaSVM7dgIrRzkH032vf4YR+48w8uPXwAAjlWNMatrMzhbmZZbZkIIIYQUzcPDA7GxsQAAIyMjrFu3juNE/MT5qXwizUxPC7O7N4O1kR4YAw7ffoaR207h3KxBqGlmKDP+zdfv0d2lFur3NYOasjI2BtzFLxuP4dLcoTDT0+LgLyCEEELIt2JjYxEdHc11DN7jxcVP5Kt2jtWlXs/q5oq9QSF4EBYltzD93/COUq//HtQW/4a8QdDLCPRtxN0tCwkhhBBCfhQVpjyWKxbjzIPXSMvKgYu1WbGmSc/KQU5uLvQ0qH9DQgghhCiWClWYrvM/hX+C7+F19Ceoq6igfjVbzO85ADYmhRd92bk5WHfuNA7eCkJUQjyqm5hifo8BaOXgVGY5n3/4jG6rDyAzJweaIlXs+LUraphVKta0f568BhNdLbjVqlpm+QghhBBCyoL8+9/9pG68eYGRLdrg7PQFODR5JnJyc9Fvw0qkZmYUOs3yU0ew59plLO83BNfmr8Awt1YYvs0LjyPDyyxndRN9nJ89GGd+H4ihzZwwZe85vPr05bvT/e/8HZy6/xI7fu0KNZUK9X8OQgghhPwEKlT1cnDiDKnX64eOgf3MCXgUEY4mtrXkTnP4znVM6dANbWrXBQCMaN4GgS+eYtOFs9g8YlyZ5FRVVoK1kR4AwKmqCYIjorDjykOsGtim0Gm2XLiHjQH3cGBiL9ibG5VJLkIIIaSii/r7TYmmy03KkXpe0s8BANPfbUo8Ld9VqML0W0np6QAAPU3NQsfJysmBmrKK1DA1FVXcefuqTLMVJGZAVk5uoe9vCriL9efuwHdCL9SxpG6iCCGEEKKYKtSp/ILEYjHmHdmHhtVrwK5y4bc1bWnniC2X/BEaEwWxWIwrzx/j3+B7iE5KKJNcy08G4dab94j8kojnHz5j+ckg3HwdiV71847oTt7jj+UngyTjbwy4i7/+uYnVg9rBopIOYpJSEZOUitTMrDLJRwghhBBSVirsEdOZB33w4uN7nJ42r8jxlvYdDE9fbzRdNAMCgQBWhsYY0MQN+28Glkmuzylp8NhzDjFJqdBWU4WduSH8xvdCcztLAMDHuGQIBQLJ+HuuPUJWTi7GeJ+R+hzPjo0xrXOTMslICCGEEFIWKmRhOuugDwIeB+Ok51xU1jcoclxDbR3s+W0qMrKzEJ+aAlNdfSw5cRCWhsZlkm31oHZFvn9kSl+p17cXjyqTHIQQQggh5a1CFaaMMcw+tAf/Bt/Hialzfqi4VFNRhZmeAbJzc3Am+C6612tUhkkJIYQQ8jMxUNOT+5xIq1CF6cwDPjh27yb2jJ0CTZEaohMTAAA66hpQV1UFAEzYvQVmevr4o0d/AMD9sDf4lBCP2haWiEqIx1//HINYzDCxbWeu/gxCCCGEKJgFjWd8fyRSsQrT3dcuAgB6eC2TGr5+yK8Y0KQ5AOBD/BcIhV/bcGZmZ2PF6SN49zkWmiIRWjvUwcZhv0FXo/Ar+QkhhBBCyI+rUIVpzKa93x3nxNS5Uq+b1rBD0PyVZRWJEEIIIYT8vwrbXRQhhBBCCOEXKkwJIYQQQggvUGFKCCGEEEJ4gQpTQgghhBDCC1SYEkIIIYQQXqDClBBCCCGE8AIVpoQQQgghhBcqVD+mhBBCCCFl5WboHWy+sgOPPjxFdFIMdg7bhI612xY5TWZOJtYEbMTRBycRmxwLYx1jeLaZgIEN+5ZTan6hwpQQQgghpBSkZaXDvnItDGjQB6P2TCjWNGP3eiA25TPW9F0Ga0NLRCfFQszEZZyUv6gwJYQQQggpBa1rtUDrWi2KPf6lF4G4GXoHt2Zfgr6GHgDAwqBKGaVTDFSYEkIIIYRw4Pyzi6hTxRGbrmzHkfsnoaGqjnb2rTGjwxSoq6hxHY8TVJgSQgghhHDg3ZdI3Am/B5GKKnYO24i41HjMOr4Q8Wnx8Oq/kut4nKCr8gkhhBBCOCBmYgggwMaBa+BctQ5a27ljYdfZOHT/ONKzM7iOxwkqTAkhhBBCOGCiYwxTXRPoqGtLhtkaVwdjDJ8SojhMxh0qTAkhhBBCONDAqh6ikmKQmpkqGRYaGw6hQAgzPVMOk3GHClNCCCGEkFKQmpmKJx+e4cmHZwCAiLj3ePLhGd7HfwQA/Pnv35i0f7pk/F7OXWGgoYcph2bhZfRr3Ay9gyX/rMSABn3o4idCCCGEEFJyIe+foPeWwZLXC08vAwD0c+mJdQNWISYpBh8SPkre1xRp4sCY3fjjxGJ0WNcLBhp66FqnE2Z2mFru2fmCClNCCCGEkFLQtHojfPrrdaHvrxuwSmaYrXF1HBzjU5axFAqdyieEEEIIIbxAhSkhhBBCCOEFKkwJIYQQQggvUGFKCCGEEEJ4gQpTQgghhBDCC1SYEkIIIYQQXqDClBBCCCGE8AIVpoQQQgghhBeoMCWEEEIIIbxAhSkhhBBCCOEFKkwJIYQQQggvUGFKCCGEEEJ4gReF6caNG2FlZQU1NTU0atQId+7c4ToSIYQQQggpZ5wXpgcPHoSnpycWLFiABw8eoE6dOmjfvj1iYmK4jkYIIYQQQsoR54XpmjVr8Ouvv2LEiBGwt7fHli1boKGhgZ07d3IdjRBCCCGElCNlLr88KysL9+/fx+zZsyXDhEIh2rRpg5s3b8qMn5mZiczMTMnrxMREAEBSUpJkWHJ6ehkmLh5RgTyFSU7P/O44ZS3pOzlT07PLKUnhvpcxLT2nnJIU7nsZASAjjf85sxQgY3ZaRjklKVxxlnd2Gvfboe/Py7RySlK472dMLackhSvO8s5KSy6HJEX77raSFxlVi3w/JZ0PGdW+O05yBvc5Nb6zvJMzuP/tqBfImL9+Msa+PyHj0IcPHxgAduPGDanh06dPZw0bNpQZf8GCBQwAPehBD3rQgx70oAc9FOwRGRn53dqQ0yOmP2r27Nnw9PSUvBaLxYiLi0OlSpUgEAhK5TuSkpJgYWGByMhI6OjolMpnljbKWHoUISdlLD2KkJMylh5FyEkZS48i5KyoGRljSE5ORuXKlb87LqeFqaGhIZSUlBAdHS01PDo6GqampjLji0QiiEQiqWF6enplkk1HR4e3K00+ylh6FCEnZSw9ipCTMpYeRchJGUuPIuSsiBl1dXWLNR6nFz+pqqrCxcUFFy9elAwTi8W4ePEimjRpwmEyQgghhBBS3jg/le/p6Ylhw4ahfv36aNiwIby8vJCamooRI0ZwHY0QQgghhJQjzgvT/v37IzY2FvPnz0dUVBTq1q0Lf39/mJiYcJJHJBJhwYIFMk0G+IQylh5FyEkZS48i5KSMpUcRclLG0qMIOSnj9wkYK861+4QQQgghhJQtzjvYJ4QQQgghBKDClBBCCCGE8AQVpoQQQgghhBeoMCWEEEIIIbxAhakcCQkJXEeQEhkZiffv30te37lzB1OmTMG2bds4TCXtwYMHePz4seT1yZMn0aNHD8yZMwdZWVkcJvs+vi1vRaAI6ySgGOulIszL9PR0pKWlSV6/e/cOXl5eOH/+PIepZCnC8laUeVlQbm4ugoODER8fz3UUhaMIv2/eKZ273iuuFStWsAMHDkhe9+3blwmFQla5cmUWHBzMYbKvmjVrxvbs2cMYY+zTp09MR0eHNWnShBkaGrJFixZxnC5P/fr12ZEjRxhjjL19+5apqamxgQMHMhsbG+bh4cFtuAIUYXkrAkVYJxlTjPVSEeZl27Zt2ebNmxljjMXHxzMTExNWpUoVpqamxjZt2sRxuq8UYXkrwrz08PBgO3bsYIwxlpOTw1xdXZlAIGCamprs8uXL3Ib7RkpKCvvnn3/Y5s2b2bp166QefKAIv2++qfCFqZWVFbt+/TpjjLHz588zPT09du7cOTZq1CjWtm1bjtPl0dPTYy9evGCMMbZu3TrWtGlTxhhj586dY9bW1lxGk9DR0WFv3rxhjOUVf+3atWOMMRYUFMSqVKnCZTQpirC8FYEirJOMKcZ6qQjzslKlSuzJkyeMMca2b9/OnJycWG5uLjt06BCrVasWx+m+UoTlrQjz0tzcnN29e5cxxtjx48dZ5cqV2cuXL9kff/whWT/54MGDB8zU1JTp6OgwJSUlZmRkJCmg+fLbUYTftzzp6eksMTFR6lFeKvyp/KioKFhYWAAAzpw5g379+qFdu3aYMWMG7t69y3G6PNnZ2ZKObi9cuIBu3boBAGrVqoVPnz5xGU2CMQaxWAwgL2OnTp0AABYWFvj8+TOX0aQowvLO5+Pjg3/++UfyesaMGdDT00PTpk3x7t07DpMpxjoJKMZ6qQjzMi0tDdra2gCA8+fPo1evXhAKhWjcuDHn62JBirC8FWFefv78GaampgCAf//9F3379kWNGjUwcuRIqaYSXJs6dSq6du2K+Ph4qKur49atW3j37h1cXFzw999/cx0PgGL8vvOlpaVh4sSJMDY2hqamJvT19aUe5aXCF6b6+vqIjIwEAPj7+6NNmzYA8jZwubm5XEaTcHBwwJYtW3Dt2jUEBASgQ4cOAICPHz+iUqVKHKfLU79+fSxduhR79+7F1atX0blzZwBAWFgYZ3fxkkcRlne+ZcuWQV1dHQBw8+ZNbNy4EatWrYKhoSGmTp3KaTZFWCcBxVgvFWFe2tjY4MSJE4iMjMS5c+fQrl07AEBMTAx0dHQ4TveVIixvRZiXJiYmePbsGXJzc+Hv74+2bdsCyCtclJSUOE73VXBwMKZNmwahUAglJSVkZmbCwsICq1atwpw5c7iOB0Axft/5pk+fjkuXLmHz5s0QiUTYsWMHFi1ahMqVK2PPnj3lF6Tcjs3y1IQJE5ilpSVr06YNq1SpEktOTmaMMbZ//37m7OzMcbo8ly9fZnp6ekwoFLIRI0ZIhs+ePZv17NmTw2RfBQcHMwcHB6ajo8MWLlwoGT5x4kQ2cOBADpNJU4TlnU9dXZ29e/eOMcbYjBkz2JAhQxhjjD158oQZGhpyGU0h1knGGAsJCWG1a9fm9XqpCPPy8OHDTEVFhQmFQtamTRvJ8GXLlrEOHTpwmEyaImyHCs7Lgs2H+DQvFyxYwHR1dVmtWrVY1apVWUZGBmOMMW9vb9a4cWOO031laGjIXr16xRhjzNbWlvn7+zPGGHv+/DnT0NDgMpqEIvy+81lYWEjaEGtra7PXr18zxhjbs2cP69ixY7nlqPC3JM3Ozsa6desQGRmJ4cOHw9nZGQCwdu1aaGtrY/To0RwnzJObm4ukpCSpw+nh4eHQ0NCAsbExh8mKlpGRASUlJaioqHAdBYDiLG8AMDY2xrlz5+Ds7AxnZ2d4enpiyJAhePv2LerUqYOUlBRO8ynqOgnwb71UhHkZFRWFT58+oU6dOhAK80623blzBzo6OqhVqxbH6YrGt+WtCPPyyJEjiIyMRN++fVGlShUAec2L9PT00L17d47T5WnXrh2GDx+OX375Bb/++isePXqEyZMnY+/evYiPj8ft27e5jghAMX7fAKClpYVnz56hatWqqFKlCo4dO4aGDRsiLCwMjo6O5bfPKbcSmPwn2dnZLCAggG3ZsoUlJSUxxhj78OGD5Igf14YOHcquXr3KdYyfyi+//MLq1avHRo0axTQ0NNjnz58ZY4ydPHmSOTg4cJpt/vz5LDw8nNMMxRUfH8+2b9/OZs2axb58+cIYY+z+/fvs/fv3HCfLo0jz8vXr18zf35+lpaUxxhgTi8UcJ5KmCNuhnTt3SuafIkhPT+c6QqHu3r3LLl26xBhjLDo6mrVv355pa2uzevXq8aqXFb7vv/M5OjqyK1euMMYYa926NZs2bRpjLO+iLXNz83LLQYUpyztM7erqyszMzCQ7iLVr17ITJ05wnCxPeHg4q1WrFtPQ0GBKSkrs7du3jDHGJk+ezMaOHctxujzdu3dnKioqzMbGhv3555+82enLw/flnS8+Pp5NmDCBdevWjZ09e1YyfP78+Wzp0qUcJmOsTp06TElJibVq1Yr5+vpKTvXxTUhICDM0NGQ2NjZMWVlZ8tuZO3eupGkE1xRhXn7+/Jm1atWKCQQCJhQKJfNxxIgRzNPTk+N0XynCdsjY2Jhpa2uzkSNHSnoI4ZucnBy2ePFiVrlyZal9zh9//CHpRooUjyLsv/OtWbNG0s1WQEAAU1NTYyKRiAmFQubl5VVuOSp8Ybpp0yZmaGjIli5dytTV1SUrza5du5i7uzvH6fJ0796dDR48mGVmZjItLS1JxsuXLzMbGxuO030VExPDVq9ezZycnJiysjLr0KEDO3ToEMvKyuI6moQiLG9F8eDBAzZp0iRmaGjI9PT02G+//cbu3LnDdSwprVu3ZtOnT2eMManfzvXr15mlpSWHyaTxfV4OGTKEtW/fnkVGRkrNR39/f2Zvb89xOml83w5lZ2ezY8eOsW7dujEVFRVWs2ZNtmLFCvbp0yeuo0ksWrSIVatWje3bt09qO3ngwAFetTFVBIqy/5YnPDycHT16lIWEhJTr91b4wtTOzo4dP36cMSa943r8+DGrVKkSh8m+MjAwkPSDVjBjWFgYU1dX5zJaoe7fv88mTpzI1NTUmKGhIZsyZYqkkTqXFGF5FxQYGMgGDRrEmjRpIjn6s2fPHnbt2jWOk32VlZXFjh49yrp06cJUVFSYo6Mj8/LyYgkJCVxHk+rXsuDyDg8PZyKRiMtocvF1XpqYmEhOjRacj2/fvmWamppcRisSX7dD+aKiotjff//NHB0dmYqKCuvatSs7ceIEy83N5TRX9erV2YULFxhj0sv7+fPnTE9Pj8torG7duszZ2blYDz5QxP13QfHx8eX+nRW+u6iwsDDJBTAFiUQipKamcpBIllgsltuV0fv37yX94fHJp0+fEBAQgICAACgpKaFTp054/Pgx7O3tsXbtWk6zKcLyznf06FG0b98e6urqePDgATIzMwEAiYmJWLZsGcfpvmKMITs7G1lZWWCMQV9fH//73/9gYWGBgwcPcppNJBIhKSlJZvirV69gZGTEQaKi8XVepqamQkNDQ2Z4XFycpI9GvuHzdiifiYkJmjVrhiZNmkAoFOLx48cYNmwYqlevjitXrnCW68OHD7CxsZEZLhaLkZ2dzUGir3r06IHu3buje/fuaN++Pd6+fQuRSAR3d3e4u7tDTU0Nb9++Rfv27TnNmU+R9t8rV66U2s7069cPlSpVgrm5OUJCQsovSLmXwjxjZ2cnaVtY8H8z69ev583/uPr168d+/fVXxlhextDQUJacnMxatWrFhg8fznG6PFlZWezIkSOsc+fOTEVFhbm4uLDNmzdL3S3i2LFjnP9vWxGWd766desyHx8fxph01gcPHjATExMuozHGGLt37x6bMGECMzAwYGZmZmzmzJmS7kUYy5unxsbGHCZkbNSoUaxHjx4sKytL8tt59+4dc3Z25s0tKhnj/7zs2LEj++OPPxhjX7dBubm5rG/fvqx3796c5fqWomyHoqKi2F9//cXs7e2ZmpoaGzBgAAsICGCM5d1ic8aMGaxq1aqc5atXrx7bu3cvY0x627No0SLWrFkzznJ9a9SoUZL1sqD58+dLdc3EJUXYf+fjy50RK3xhun37dmZubs4OHDjANDU12f79+9nSpUslz/kgMjKS2dvbMzs7O6asrMwaN27MKlWqxGrWrMmio6O5jscYy7vNnr6+Phs/fjx7+PCh3HHi4+OZlZVV+Qb7hiIs73zq6uosLCyMMSZ7+pTr09C1a9dmysrKrFOnTuz48eMsJydHZpzY2FgmEAg4SPdVQkICa9OmDdPT02NKSkrMwsKCqaiosObNm7OUlBROs+VThHn5+PFjZmxszDp06MBUVVVZnz59mJ2dHTMxMZE0leADRdgO5TfTcHBwYGvXrpX0FFFQdHQ0p8v7xIkTTFdXl61YsYJpaGiwv/76i40ePZqpqqqy8+fPc5brWzo6OnKbZrx69Yrp6OhwkEiWIuy/86mpqbGIiAjGWN7FWWPGjGGMMfby5cty/c9chS9MGWNs3759zMbGhgkEAiYQCJi5uTnvrjzMzs5me/fuZdOnT2fjxo1j27dv51WXI3v27OF1tyIFKcLyZowxa2tryVGUgoWpj48Ps7Oz4zIaW7x4MS+veC7MtWvX2MaNG9nKlSsl85QvFGVeJiQksKVLl7K+ffuyjh07srlz57KPHz9yHUuKImyHRo4cyW7cuFHkOGKxmPMuxAIDA1mbNm2YkZERU1dXZ66uruzcuXOcZvqWiYkJ27Vrl8zwXbt2cX62piC+77/zmZmZSY6Y1qhRgx06dIgxxtiLFy+YtrZ2ueWo8B3sF5SWloaUlBRedXhLyg7fl/fy5cuxb98+7Ny5E23btsW///6Ld+/eYerUqZg3bx4mTZrEdURCCOHMihUrsGjRIvz6669o2LAhAOD27dvYuXMn5s2bh1mzZnGcULFMnDgRZ86cga2tLR4+fIjw8HBoaWnhwIEDWLVqFR48eFAuOagwVRCvX7/G5cuXERMTA7FYLPXe/PnzOUol7d69ezh06BAiIiKQlZUl9d6xY8c4SqW4GGNYtmwZli9fjrS0NAB5F/P8/vvvWLJkCcfp8hrvnzp1Su7yXrNmDUepZF28eBEXL16U+9vZuXMnR6mkKcK8TEhIwJ07d+TOx6FDh3KUSpYibIdSU1Nx9epVuRknT57MUSpZWVlZcpd31apVOUok69ChQ1i3bh2eP38OALCzs4OHhwf69evHcbKvFGH/DfDozojldmyWp6KiotjgwYOZmZkZU1JSYkKhUOrBB9u2bWNKSkrMxMSE1alTh9WtW1fy4MsFO/v372cqKiqsS5cuTFVVlXXp0oXVqFGD6erq8qqBtyIs729lZmayp0+fstu3b/PmTiEXLlxgGhoakvaRdevWZXp6ekxXV5e1bNmS63gSCxcuZEKhkDVs2JB1796d9ejRQ+rBB4owL0+dOsW0tbWZQCBgurq6TE9PT/LQ19fnOp6EImyHHjx4wExNTZmOjg5TUlJiRkZGTCAQME1NTWZtbc11PMZYXhvNZs2ayWwf82+wQIpPEfbffFPhj5h27NgRERERmDhxIszMzCAQCKTe58M9gS0tLTF+/HjMnDmT6yiFcnJywtixYzFhwgRoa2sjJCQE1tbWGDt2LMzMzLBo0SKuIwJQjOWdb+TIkVi3bp1MlyKpqamYNGkSp0f7GjZsiI4dO2LRokWS5W1sbIxBgwahQ4cOGDduHGfZCjIzM8OqVaswZMgQrqMUShHmZY0aNdCpUycsW7ZMbrdRfKEI2yF3d3fUqFEDW7Zsga6uLkJCQqCiooLBgwfDw8MDvXr14joiXF1doaysjFmzZsndTtapU4ejZIpHEfbfBfHi6C7XlTHXtLS0Cr16ky+0tbUlF77wlYaGhuQKcgMDA/bo0SPGGGPPnj1jpqamHCaTpgjLO59QKJR71WZsbCxTUlLiINFXWlpakqux9fT02JMnTxhjjAUHB/PqjkoGBga8umpcHkWYlxoaGrzfBjGmGNshXV1dSYfrurq67NmzZ4wxxm7dusVq1qzJZTQJDQ0N9vz5c65jfFdOTg7766+/WIMGDZiJiQnT19eXevCBIuy/8/Hl6G6F72DfwsICjOcHjfv27Yvz589zHaNI+vr6SE5OBgCYm5vjyZMnAPLapeW3j+QDRVjeSUlJSExMBGMMycnJSEpKkjzi4+Px77//cn7BlqampqRtnJmZGd6+fSt57/Pnz1zFkjF69Gj4+flxHaNIijAv27dvj3v37nEd47sUYTukoqICoTBv12tsbIyIiAgAgK6uLiIjI7mMJmFvb8+bda8oixYtwpo1a9C/f38kJibC09MTvXr1glAoxMKFC7mOB0Ax9t/5li5dij///BNRUVEIDg7Gw4cPJY/yuvAJAJTL7Zt4ysvLC7NmzcLWrVthZWXFdRy5bGxsMG/ePNy6dQuOjo5QUVGRep8PjeWbN2+OgIAAODo6om/fvvDw8MClS5cQEBCA1q1bcx1PQhGWt56eHgQCAQQCAWrUqCHzvkAg4PyUZOPGjREUFAQ7Ozt06tQJ06ZNw+PHj3Hs2DE0btyY02wFZWRkYNu2bbhw4QKcnJxkfjt8uLBIEeZl586dMX36dDx79kzuNqhbt24cJZOmCNshZ2dn3L17F7a2tmjRogXmz5+Pz58/Y+/evahduzbX8QDk3QFoxowZWLZsmdzlraOjw1Eyab6+vti+fTs6d+6MhQsXYuDAgahevTqcnJxw69YtXuwbFWH/nS8+Ph59+/blOgZdla+vr4+0tDTk5ORAQ0NDZqWJi4vjKNlX1tbWhb4nEAgQGhpajmnki4uLQ0ZGBipXrgyxWIxVq1bhxo0bsLW1xR9//AF9fX2uIwJQjOV99epVMMbQqlUrHD16FAYGBpL3VFVVYWlpicqVK3OYEAgNDUVKSgqcnJyQmpqKadOmSZb3mjVrYGlpyWm+fC1btiz0PYFAgEuXLpVjGvkUYV7mH+GTRyAQyL3lIhcUYTt07949JCcno2XLloiJicHQoUMlGXfu3MmL9pv5y/vbtqWMMV4tb01NTTx//hxVq1aFmZkZ/vnnH9SrVw+hoaFwdnZGYmIi1xEVYv+db9SoUWjQoAF+++03TnNU+MLUx8enyPeHDRtWTklIeVCk5f3u3TtYWFgUWRQQQkhpu3r1apHvt2jRopySFK1mzZrYs2cPGjVqhGbNmqFLly6YNWsWDh48iEmTJiEmJobriApl+fLlWLNmDTp37szp0d0KX5iS0jF06FC0bNkSzZs3R/Xq1bmO81NJS0uT29+hk5MTR4nyrs5s2bIlmjRpAjU1Nc5y/AxoXpYeRdgO7dy5Ey1btizySBopnlmzZkFHRwdz5szBwYMHMXjwYFhZWSEiIgJTp07FihUruI6oUPhydLdCFqZJSUmSNjJJSUlFjstVWxpPT08sWbIEmpqa8PT0LHJcPrSTGz16NAIDA/HmzRuYm5ujRYsWcHd3R4sWLWBra8tpNkVY3vLExsZixIgROHv2rNz3uTyd1rZtW9y8eRM5OTlo0KCBZHm7urpCXV2ds1wA0KtXL+zevRs6Ojrf7XqHDx2u83Verl+/HmPGjIGamhrWr19f5Lh8aSfH5+1QPltbW4SGhkry5We0sbHhNNejR49Qu3ZtCIVCPHr0qMhxufxPcVFu3ryJmzdvwtbWFl27duUsh6Ltv/mmQhamSkpK+PTpE4yNjSEUCmXa0QDct6Vp2bIljh8/Dj09PYVoJ5fvw4cPCAwMxNWrV3H16lW8evUKZmZmeP/+PWeZFGF5yzNo0CC8e/cOXl5ecHd3x/HjxxEdHY2lS5di9erV6Ny5M6f5cnJycPv2bcnyvnHjBjIzM9GgQQMEBQVxlmvEiBFYv349tLW1MWLEiCLH3bVrVzmlKhof56W1tTXu3buHSpUq8eZISnHxcTtU0IcPH3DlyhVJxtevX8PMzAzu7u7Yt28fJ5mEQiGioqKktpPyygO+bSf5SFH333xRIQvTq1evSjoQVpS2NIoiLS0NQUFBuHz5Mq5cuYIHDx7A3t4eDx8+5CyToi5vMzMznDx5Eg0bNoSOjg7u3buHGjVq4NSpU1i1ahWnxV9Br169wuXLl3HhwgWcOHECurq6CtHVDB/RvCwdfNwOyZOWloZr165h//798PX1BWMMOTk5nGR59+4dqlatCoFAgHfv3hU5Lh8uyMvHiw7hfyJ8uD1yhSxMSembM2cOrly5gocPH8LOzk5yeqp58+a8uBJWEeno6ODRo0ewsrKCpaUl/Pz84OrqirCwMDg4OHDaL+O2bdtw5coVXL16FZmZmXBzc4O7uzvc3d3h5OQk96g0kU+R52VoaCh+++033vTTqAjbofPnz+PKlSu8z6kItm/fjnHjxsHQ0BCmpqZSvxWBQFCufW/+DC5evIhu3bqhWrVqePHiBWrXro3w8HAwxlCvXr1yO7pbIQvT77WfKYirtjQ/cls6PrSTEwqFMDIywtSpU9GrVy+5/W9yRRGWtzwNGjTA0qVL0b59e3Tr1g16enpYvnw51q9fjyNHjkh1xF7e8pf3tGnTMH78eGhpaXGW5VvOzs7FLub4sOPi87z8npCQENSrV483p3b5vB3KV3B5jxkzBnp6elxHAgCcOnWq2OPypd9avt7uU9H23/n4cnvkClmYFtV+piAu29J8r21cQXxoJxcSEoKrV6/iypUruHbtGlRVVSVHAfLvDc0VRVje8uzbtw85OTkYPnw47t+/jw4dOiAuLg6qqqrYvXs3+vfvz1m2EydOIDAwEFeuXMHz58/h7OwsWdbNmjXj9H7qP3LzgQULFpRhkuLh87z8Hr4VpnzeDuXz8vJCYGAgAgMDIRKJeJOvuN3S8Wk7qaOjg+DgYFSrVo3rKFIUbf+dT1tbG8HBwahevTr09fURFBQEBwcHhISEoHv37ggPDy+XHBWyMP1e+5mCuG5LwxhDZGQkjIyMOL/a+UeEhIRg7dq18PX1hVgs5nRDpkjLuyhpaWl48eIFqlatCkNDQ67jSCQmJuLatWs4fPgw9u/fD6FQiIyMDK5jITc3F9evX4eTkxNvjkp9D1/nZWH4Vph+i0/bIXkeP36Mq1ev4tKlSzhz5gyMjY15c4GWIuBLh/CFUbT9t6mpKS5fvgw7OzvY29tjxYoV6NatG0JCQuDq6oqUlJRyyVEhb0maX3xkZ2dj7NixmDdvHm/7lGOMwcbGBk+fPuVNdyfyMMbw8OFDSdupoKAgJCUlwcnJifMLihRpeefLzs5GrVq1cObMGdjZ2QEANDQ0UK9ePY6TffXlyxfJ0akrV67g6dOn0NfXh5ubG9fRAOT1xtCuXTs8f/6c94Up3+elouDzdqiggjkvX76MoKAgiMViGBkZcR0N2dnZ6NChA7Zs2cLrfQ7A/9t9Ksr+Ox9fbo9cIY+YFqSrq4vg4GBeFyoODg7w9vbmzX2z5dHX10dKSgrq1KkjOTXl5ubGu4JAEZZ3PnNzc1y4cEFSmPKJo6Mjnj9/Dn19fTRv3lzSVySf2ugCQP369bFy5Ure3CddHj7Py++1101LS8Pr1695cyRSEbZDXbt2xfXr15GUlIQ6depIlnfz5s15k9PIyEhym1Q+U4RuzBRh/52PL7dHrvCF6bBhw1C3bl1MnTqV6yiFOn36NFatWoXNmzejdu3aXMeR659//oGbmxuvOqiXRxGWd75ly5bh1atX2LFjB5SV+XVyY+PGjWjRogVv18d8/v7+mD17NpYsWQIXFxdoampKvc+H9ZXP87K47XX50FYXUIzt0PTp09GiRQu4ublBV1eX6zhyTZ06FSKRiO6cVAoUYf/NNxW+MM3vrLx169Zyd1xcnwoA8o4CpKWlIScnB6qqqjJtVeLi4jhKlic7Oxvq6uoIDg7m/Q9PEZZ3vp49e+LixYvQ0tKCo6OjTFauruaU18yArwpe0FHwyB9fbqigSPOS7xRhO6Qop8knTZqEPXv2wNbWVu52ku5WVHx833/Lk5WVJbdf2KpVq5bL9/PrMAwHvL29oaenh/v37+P+/ftS7wkEAl4UKl5eXlxHKJKKigqqVq3K+U6+OBRheefT09ND7969uY4hQ0VFhdcX5BR0+fJlriMUSZHmJd8pwnZIRUXlh7qv48qTJ08k7dlfvXol9R7f+tXlQ4fwReH7/rugV69eYdSoUbhx44bU8PL+j3yFP2JKSoe3tzeOHTuGvXv3wsDAgOs4pIzxuZmBoqF5WXoUYTtEp8lLD186hP9Z5N8hcdasWTAzM5P5T0idOnXKJQcVpjyVlJQkaSeVlJRU5Lh8aE/l7OyMN2/eIDs7G5aWljKnfvjQkTkpPXxtZgDk3VChdu3aEAqF3z06xYcLjPg8LxWNImyH6DR56eFLh/DfUrT9dz5NTU3cv38ftWrV4jRHhfzvuaenJ5YsWQJNTU14enoWOS5XGwl9fX18+vQJxsbG0NPTk3v6hC/t5ACgR48eXEcolCIs73z16tXDxYsXoa+v/90rorncyfK1mQEA1K1bF1FRUTA2NkbdunULvbkCX347fJ6XiobP26F8fD1N3qtXL+zevRs6OjrfvXMRX/6z9Pz5c+zfvx8AoKysjPT0dGhpaWHx4sXo3r07Z4Wpou2/89nb2+Pz589cx6iYhenDhw+RnZ0tec5Hly5dkpyK4ns7OYA/V+XKowjLO1/37t0hEokA8Hsny6e7lXwrLCxM0h9kWFgYx2m+j8/zElCcC3YAfm+H8vF1e66rqyspoPjaW8C3NDU1Je1KzczM8PbtWzg4OAAApwWWIu2/Cx7RXblyJWbMmIFly5bJ7Re2vI7u0ql8BffkyRPeXoFKCF+JxWL8+++/6NKlC9dRFIKi9GtJKpYePXqgc+fO+PXXX/H777/j5MmTGD58OI4dOwZ9fX1cuHCB64hF4sP+O/+W3fnyj+QWRBc/8QBjDP7+/vD29saRI0e4jiMjOTkZ+/fvx44dO3D//n3OTgUYGBjg1atXMDQ0hL6+fpGnofjYJUY+vi9vAEhJSZHpuqO82yYpSjODorx58wY7d+7E7t27ERsbKzmSXt4UbV7y+YIdRdgOKeJp8m8lJSXB19cX3t7euHfvHtdxAPCnQ/gfwZf9d76rV68We9zyuntahTyVX5iwsDCpnVabNm24jiQlMDAQ3t7eOHr0KCpXroxevXph48aNnOVZu3YttLW1AShWlxj5+L68w8LCMHHiRFy5ckWqSyGu2iYpSjODb6Wnp+Pw4cPYsWMHrl+/Djc3N8yfPx89e/bkLJOizcucnBzs3LkTFy5c4N0FO4qwHVLE0+T5Ll++jJ07d+LYsWPQ1dXl9HfzrWrVqkmea2pqYsuWLRymKRrf9t/5ChabERERsLCwkHvENDIystwyVfgjppmZmThy5Ai8vb0RFBSE3Nxc/P333xg1ahQvrpaLiorC7t274e3tjaSkJPTr1w9btmxBSEgI7O3tuY5XLHFxcbzpuoXvy7sgV1dXMMbg4eEBExMTmY0Fn+79XVBubi6UlJS4joG7d+9ix44dOHDgAKpXr45BgwZh5syZePTokcL8dvgyL1u2bFnoewKBQCG65eHTdojvPnz4gN27d2PXrl1ISEhAfHw8/Pz80K9fP170YxofH499+/Zh2LBhMtvtxMRE7NmzR+575U3R9t9KSkqSi7YK+vLlC4yNjcvvYAiroO7du8fGjRvH9PT0WP369dm6detYVFQUU1ZWZk+fPuU6HmOMsS5dujAdHR02cOBAdubMGZaTk8MYY7zKWJRz586xvn37MjU1Na6jKMTy/pampiZ78eIF1zGK7eXLl2zGjBnM1NSU6yjM0dGRWVpastmzZ7MnT55IhvN5eRfEp3mp6Pi0HSpMYmIi27RpE3NxceE0x5EjR1jHjh2ZpqYm69OnDztx4gTLzMzk3e9m8eLFrE+fPoW+37dvX7Z06dJyTCRLEfffAoGAxcTEyAwPDw9nGhoa5Zajwp7Kb9SoESZNmoRbt26hZs2aXMeR6+zZs5g8eTLGjRunMBcdvHv3Djt37oSPjw/i4+PRsWNH7Nmzh+tYCrG8v9WgQQNERkbyOm9aWhoOHjyInTt34ubNm6hfv/53u+QqDy9fvkT//v3RsmVLXh6ZkIev81IR8XU79C2+nSbv378/Zs6ciYMHD0qaR/DR0aNHsXr16kLfHzt2LH7//XfMnTu3HFNJU6T9d/52RiAQYN68edDQ0JC8l5ubi9u3b6Nu3brllqfCFqatW7eGt7c3YmJiMGTIELRv354XpygKCgoKgre3N1xcXGBnZ4chQ4ZgwIABXMeSkZWVhWPHjkna8LVp0wbv37/Hw4cP4ejoyHU8AIqxvL+1Y8cO/Pbbb/jw4QNq164t03UHl53D37p1Czt27MDhw4dRtWpVPH/+HJcvX4abmxtnmQoKDQ3F7t27MW7cOKSnp2PgwIEYNGgQL5c5X+elol2wowjbIYDfp8lHjRqFjRs34sqVKxgyZAj69+8PfX19TjPJ8/bt2yKLPVtbW7x9+7YcE8lSlP038LUbRcYYHj9+DFVVVcl7qqqqqFOnDn7//ffyC1Rux2Z5KCIigi1atIhZWVkxExMTNnnyZKasrMyePXvGdTQpKSkpzNvbm7m6ujIVFRUmFAqZl5cXS0pK4joamzhxIqtUqRJr3Lgx+9///sc+f/7MGOPn6QpFWd75bt68yaytrZlAIJA8hEKh5F8u/P3338ze3p6Zm5uz33//nQUHBzPG+Lm88128eJENGjSIqaurM4FAwKZPn85evnzJdSzez8vhw4dLtjHDhw8v8sE1RdgOKcpp8rS0NLZ7927WvHlzJhKJWLdu3ZiSkhJ7/Pgx19EkdHV12c2bNwt9/+bNm0xXV7f8AhWBz/tvxhhbt24dS0tLY4zl/c4TExM5TsRYhS5MCzp//jwbOHAgU1NTY7a2tmz27Nns/v37XMeS8eLFCzZ9+nRmamrK1NTUWNeuXTnNo6SkxObMmSPzI+PbxvZbirC87ezsWK9evditW7dYWFgYCw8Pl3pwIX9557eXysf35c0YYwkJCWzjxo3MxcWFCQQC5ujoyGkeRZ6XfKMI2yFFyPitV69esdmzZ7PKlStL2ksePXqU61jM3d2dzZw5s9D3Z8yYwdzd3csxUfHwbf/NWN56GR0dzRhjTCgUSp5ziQrTb8TFxbH169ezunXrcnZUqjhycnLY8ePHOV+x/fz8WJs2bZimpibr168fO336NMvJyeH1xrYgPi9vDQ0N9vr1a65jSFm2bBmztbVlFhYWbMaMGZKjKIqyvPM9fPiQTZo0idMMij4v+XLBDmOKsR0aM2YM09XVZU2bNmWbN29mcXFxjDHFWN65ubns1KlTrHv37kxVVZXrOOzIkSNMWVmZbdiwQeo/djk5OWz9+vVMRUWFHT58mMOERePL/psxxiwsLNimTZtYeHg4EwgE7P79++zdu3dyH+WFCtMi8O0IGp+Fhoay+fPns6pVqzJDQ0MmFAp5vWGQh2/Lu0uXLuzIkSNcx5DrypUrbOjQoUxDQ4M5OTkxJSUlFhQUxHUshaRo8/LSpUts8ODBTENDg5mZmbHx48dzHUmC79shRThN/j18OKLGGGNz5sxhAoGA6ejosLp167K6desyHR0dJhQKizyaSqRt3bqVqaqqMqFQWOijvJuPVfh+TEnpYozh/Pnz8Pb2xqlTp2BoaIhevXph/fr1XEdTONu2bcPSpUsxcuRIufct7tatG0fJvkpOToafnx927tyJ+/fvo2HDhujTpw9dTV4CfJ6XfL5gRx5F2A69fv0au3btgo+PD1JSUtC5c2f06dPnuxeaka/u3LkDX19fvHnzBowx1KhRA7/88gsaNmzIdTSFkpycjHfv3sHJyQkXLlxApUqV5I5Xp06dcslDhSkpM3FxcdizZw927dqFkJAQruMoHKFQWOh7XNz56XseP34Mb29v+Pn5ISYmhus4Co0v8/Lo0aPw9vZGYGAgOnbsiMGDB6Njx47Q1NTkbSfh3+L7dkgsFuOff/6Bt7c3zp49i8zMTK4jkQrKx8cHAwYMkNyVjitUmBJCSlV2drbM0V1SMlzPS2VlZcycOROzZs2S6tdSRUVFYQpTRRITEyNz1x1CKprCD8kQQjjRqVMnJCYmSl6vWLECCQkJktdfvnzhdUFARWnp4Xpe5vdr2aFDB2zZsgXx8fGc5vnZUVH68wkMDEROTo7M8JycHAQGBnKQqHBCoRBKSkqFPsoLHTHlqVOnThV7XD60NSSl59v7Fevo6CA4OBjVqlUDAERHR6Ny5cq8O5XPVxcvXsTFixcRExMDsVgs9d7OnTs5SqU40tPTcejQIezcuRO3b99G+/bt8c8//yA4OBi1a9fmOh4pIwkJCThy5Ajevn2L6dOnw8DAAA8ePICJiQnMzc25jqcweHP/+WI4ceKEVJvx7OxsPHz4ED4+Pli0aBFGjRpVLjkqfGEaHR2N33//XbLj+nZ2cLXSfNu+UCAQSGUruPLwacXmO74u74KEQiGioqIkGzJtbW2EhIRQYVoCixYtwuLFi1G/fn2YmZnJXKhz/PhxjpIpJrpgp2J49OgR2rRpA11dXYSHh+Ply5eoVq0a/vjjD0RERPDi9q6MMURGRsLY2BhqampcxymUUChEdHQ0jIyMpIa/evUK9evXR1JSEkfJis/Pzw8HDx7EyZMny+X7KuwtSfMNHz4cERERmDdvntwdF1cKHtm5cOECZs6ciWXLlqFJkyYAgJs3b+KPP/7AsmXLuIqokPi6vBVJTk4O/Pz80L59e5iYmHAdp0hbtmzB7t27MWTIEK6j/BRsbW2xbNkyLF26VHLBzsCBA+mCnZ+Mp6cnhg8fjlWrVkm1Le7UqRN++eUXDpN9xRiDjY0Nnj59yst70ef/Z00gEGD48OFSFxTl5ubi0aNHaNq0KVfxfkjjxo0xZsyYcvu+Cl+YBgUF4dq1a6hbty7XUQo1ZcoUbNmyBc2aNZMMa9++PTQ0NDBmzBg8f/6cw3RfJSQk4M6dO3JPmQ4dOpSjVNIUYXkLBAKZgplPBbSysjJ+++033qx3RcnKyuLlxv9HjpLo6OiUYZKSEQqF6Nq1K7p27cqrHhj8/f2hpaUl2VZu3LgR27dvh729PTZu3MiL+77fvXsXYrEYjRo1khp++/ZtKCkpoX79+hwl++ru3bvYunWrzHBzc3NERUVxkEiWUCiEra0tvnz5wsvCVFdXF0BeAa2trQ11dXXJe6qqqmjcuDF+/fVXruIVW3p6OtavX4/KlSuX23dW+MLUwsJC5nQu37x9+xZ6enoyw/NPs/DB6dOnMWjQIKSkpEBHR0eqkBIIBLwpTBVheTPGpP6HnZGRgd9++w2ampoAwIujUw0bNkRwcDAsLS25jlKk0aNHw8/PD/PmzeM6ihQ9Pb1i/2eD7002+HTBzvTp07Fy5UoAeV1uTZs2DZ6enrh8+TI8PT2xa9cujhMCEyZMwIwZM2QK0w8fPmDlypW4ffs2R8m+EolEcv/z9OrVK5lT0lxasWIFpk+fjs2bN/OuvXP+umZlZYXff/9dsv3mM319fantEmMMycnJ0NDQwL59+8otR4VvY3r+/HmsXr0aW7duhZWVFddx5GrevDnU1NSwd+9eyanT6OhoDB06FBkZGbh69SrHCYEaNWqgU6dOWLZsGTQ0NLiOUyhFWN4jRowo1nhc7mQPHTqE2bNnY+rUqXBxcZHZ6Do5OXGUDFId0ovFYvj4+MDJyQlOTk4yV7mvWbOmvOMBgNRvNjw8HLNmzcLw4cOlmur4+Phg+fLlGDZsGCcZFZGWlhaePHkCKysrLFy4EE+ePMGRI0fw4MEDdOrUiRdH+7S0tPDo0SNJm/F8YWFhcHJyQnJyMkfJvho9ejS+fPmCQ4cOwcDAAI8ePYKSkhJ69OiB5s2bw8vLi+uIAPIKqbS0NOTk5EBVVVXqqCSQ14ctKT4fHx+p10KhEEZGRrC3t8fSpUuxbdu2cslR4QvTgiu2hoaGzI6LDyv2mzdv0LNnT7x69QoWFhYAgMjISNja2uLEiROwsbHhOCGgqamJx48fy2xs+UYRlrcikNf5f/4Felx3/t+yZctijScQCHDp0qUyTvN9rVu3xujRozFw4ECp4X5+fti2bRuuXLnCTTAFZGBggKCgINjb26NZs2YYOnQoxowZg/DwcNjb2yMtLY3riKhUqRLOnDkj+U9Ivhs3bqBz58686JIrMTERffr0wb1795CcnIzKlSsjKioKTZo0wb///subo3/fFlLf4uo/dfXq1cPFixehr68PZ2fnIs+OPHjwoByTlUxISAjq1atXbtv1Cn8qny//8yuKjY0NHj16hICAALx48QIAYGdnhzZt2vCm7WH79u1x79493hemirC8FUFYWBjXEQp1+fJlriP8kJs3b2LLli0yw+vXr4/Ro0dzkEhxNWvWDJ6ennB1dcWdO3dw8OBBAHmnoKtUqcJxujzt2rXD7NmzcfLkSUk7xISEBMyZMwdt27blOF0eXV1dBAQE4Pr16wgJCUFKSgrq1auHNm3acB1NCl/PJnTv3l3SFKtHjx7chlFAFf6IqaLJyMiASCTiRUFasK/V2NhYLF68GCNGjODtfd2zs7MxduxYzJs3D9bW1lzHIRxISkrCpUuXUKtWLdSqVYvrOACAmjVronv37li1apXU8BkzZuDkyZN4+fIlR8kUT0REBMaPH4/IyEhMnjxZ0u/i1KlTkZubi/Xr13OcMK8tafPmzfHlyxc4OzsDAIKDg2FiYoKAgADJWTGuZGdnQ11dnbf91CYlJUkuCPzeRYRcXziYm5uL69evw8nJSe51IoqivI+YUmFaQEZGBrKysqSGcb1iA3nt5P78809s2bIF0dHRePXqFapVq4Z58+bBysqq3Dq9/VZR93IviOtTuwXp6uoiODiYCtNS8uzZM0RERMj8bvjwHxEA6NevH5o3b46JEyciPT0dderUQXh4OBhjOHDgAHr37s11RPz777/o3bs3bGxsJBfE3LlzB69fv8bRo0fRqVMnjhPm7WDXrl2LQ4cOyV3e1ATmx6SmpsLX1xchISFQV1eHk5MTBg4cyPmdvvJVq1YNx48fR506dbiOIqNgh/VCoVDuQRo+NCnKp6amhufPnyv0PodO5Zez1NRUzJw5E4cOHcKXL19k3ufDir106VL4+Phg1apVUt1L1K5dG15eXpwVpt92CaUIevTogRMnTmDq1KlcR1FooaGh6NmzJx4/fix184f8nQQffjdA3u0A586dCyCvM33GGBISEuDj44OlS5fyojDt1KkTXr9+jc2bN0u64OratSt+++03zo+e5Vu0aBF27NiBadOm4Y8//sDcuXMRHh6OEydOYP78+VzHk4uvBxqAvDb55dkv5I+aO3cu5syZg71798LAwIDrOFIuXbokyaQIzXZq166N0NBQXhem37tBRsFbYpeHCn/EdMKECbh8+TKWLFmCIUOGYOPGjfjw4QO2bt2KFStWYNCgQVxHhI2NDbZu3YrWrVtL3QXoxYsXaNKkCS8ay8uTkJDAu9MXS5cuxerVq9G6dWu5V5NPnjyZo2SKpWvXrlBSUsKOHTtgbW2NO3fu4MuXL5g2bRr+/vtvuLm5cR0RAKCuri65aHDo0KGoXLkyVqxYgYiICNjb2yMlJYXriAqhevXqWL9+PTp37gxtbW0EBwdLht26dQt+fn5cRwTA3wMNp06dQseOHaGiovLd203z4WyDs7Mz3rx5g+zsbFhaWspsJxXhgp0nT57woimCv78/Zs+ejSVLlsjd5/DhP0t86wmmwh8xPX36NPbs2QN3d3eMGDECbm5usLGxgaWlJXx9fXlRmH748EHulfdisRjZ2dkcJJK1cuVKWFlZoX///gCAvn374ujRozAzM8O///7Lm1NC3t7e0NPTw/3793H//n2p9wQCARWmxXTz5k1cunQJhoaGEAqFEAqFaNasGZYvX47Jkyfj4cOHXEcEkNdv7c2bN2FgYAB/f38cOHAAABAfH8+72ximpaXJPU3OZddb+aKiouDo6Aggr7ujxMREAECXLl141UfsjBkzcPnyZWzevFnugQau9OjRQ3Kb4aIuhuHL6WdFvWAnOTkZ+/fvx44dO3D//n1ezMv8pjjdunWT6SOUL8ubD/37FlThC9O4uDjJleQ6OjqStlLNmjXDuHHjuIwmYW9vj2vXrsl0Zn7kyBFJ43mubdmyBb6+vgCAgIAAXLhwAf7+/jh06BCmT5+O8+fPc5wwD5+vJlckubm5klsVGhoa4uPHj6hZsyYsLS15dbHOlClTMGjQIGhpacHS0hLu7u4A8k7x5xdaXIuNjcWIESNw9uxZue/zYcdVpUoVfPr0CVWrVkX16tVx/vx51KtXD3fv3pW61SLX+HqgoWCzJ0VoArVgwQKuI/yQwMBAeHt74+jRo6hcuTJ69eqFjRs3ch0LgGI0N+CbCl+YVqtWDWFhYahatSpq1aqFQ4cOoWHDhjh9+jRvTkPPnz8fw4YNw4cPHyAWi3Hs2DG8fPkSe/bswZkzZ7iOByDviEp+e7gzZ86gX79+aNeuHaysrGTucMIHWVlZCAsLQ/Xq1aGsXOF/Bj+sdu3aCAkJgbW1NRo1aoRVq1ZBVVUV27Zt41WXYePHj0fDhg0RGRmJtm3bSi7Yq1atGpYuXcpxujxTpkxBQkICbt++DXd3dxw/fhzR0dGSZid80LNnT1y8eBGNGjXCpEmTMHjwYHh7eyMiIoJX7bX5eqDBwMAAr169gqGhIUaOHIl169ZJ3YOer+7fvy9p9+zg4MCbAyFA3j5n9+7d8Pb2RlJSEvr164fMzEycOHEC9vb2XMeTaNGiBdcRFA+r4NasWcPWrVvHGGMsICCAqampMZFIxIRCIfPy8uI43VeBgYGsTZs2zMjIiKmrqzNXV1d27tw5rmNJmJmZsevXrzPGGKtRowY7dOgQY4yxFy9eMG1tbS6jSUlNTWUjR45kSkpKTElJib19+5YxxtjEiRPZ8uXLOU6nOPz9/dnRo0cZY4y9fv2a1axZkwkEAmZoaMguXLjAcTrFYmpqym7fvs0YY0xbW5u9fPmSMcbYyZMnmaurK5fRCnXz5k22evVqdurUKa6jSHF0dGRXrlxhjDHWunVrNm3aNMYYY+vWrWPm5uac5dLU1JRsa4RCIYuJieEsS3FER0ezli1bMoFAwPT19Zm+vj4TCASsVatWvMjepUsXpqOjwwYOHMjOnDnDcnJyGGOMKSsrs6dPn3KcjrGQkBCWm5sreV7Ug8iq8Bc/fevdu3e4f/8+bGxseNG2S1FMnDgRZ86cga2tLR4+fIjw8HBoaWnhwIEDWLVqFW8ay3t4eOD69evw8vJChw4dJLcGPHnyJBYuXMibtpGKKC4uTuZey1zw9PTEkiVLoKmpKXV7Unm4uiVpQTo6Onj06BGsrKxgaWkJPz8/uLq6IiwsDA4ODry4W1FgYCCaNm0qc3YhJycHN27cQPPmzTlKJm3t2rVQUlLC5MmTceHCBXTt2hWMMWRnZ2PNmjXw8PDgJFfbtm0RHR0NFxcX+Pj4oH///jK3z8y3c+fOck4nq3///ggNDcWePXtgZ2cHIK9ruGHDhsHGxgb79+/nNJ+ysjImT56McePGwdbWVjJcRUUFISEhnB8xFQqFkjbF+V1aySu1+NLGlG/oHOY3LC0tZdpycq1atWq4e/cuKlWqJDU8ISEB9erVQ2hoKEfJvlq7di2srKwQGRmJVatWQUtLCwDw6dMnjB8/nuN0X504cQIHDx5E48aNpQooBwcHvH37lsNkikXe6UgDAwOkpqZi0qRJnO5cHz58KLkoUBH+o1GzZk28fPkSVlZWqFOnDrZu3QorKyts2bIFZmZmXMcDkHeb1/y+IwtKTExEy5YtebNzLdisoE2bNnjx4gUvDjTs27cPa9euxdu3byEQCJCYmIiMjAzO8nyPv78/Lly4IClKgbxrHTZu3Ih27dpxmCxPUFAQvL294eLiAjs7OwwZMgQDBgzgOpZEWFgYjIyMJM/JD+L2gC33Jk2aJDmVX9CGDRuYh4dH+QeSQyAQsOjoaJnhUVFRTFVVlYNEiktdXV1ySk1LS0vyPDg4mOno6HAZTaEIhUK562RsbCxTUlLiIJHi2rt3L9u1axdjjLF79+4xQ0NDJhQKmZqaGjtw4AC34f6fQCCQewr35cuXvGqq4+PjwzIyMmSGZ2ZmMh8fHw4SybKysmKfP3/mOkaRtLS02MOHD2WGP3jwgFfLOyUlhXl7ezNXV1emoqIiaYKXlJTEdTTyH1T4U/nm5uY4deoUXFxcpIY/ePAA3bp1w/+1d+dhNab/H8Df56QiaZMotKosFbJlX0MhMbaRacLYhmwxmjGkhhgzRGSZLAlTyBpJFJl+RIrKCC2ULRGlYlCd3x9dnXGcwnyp+67n87quru/peerrbbR8nnv53Pfv32eU7N8jPx0dHbFr1y7pucpA2U7dyMhInD59mtku6JrWmw8AevXqhdGjR8PV1RUNGjRAUlISjIyM4OrqitTUVISHh7OOyLUXL15AIpFAU1MTqamp0lEBoOxrMjQ0FO7u7nj48CHDlP86e/Ys+vbtW+E9Pz8/zJw5s5oTfdzLly9x8+ZN6OvrQ1tbm2mW8sbbR48exeDBg2V24JeUlCApKQnm5ubcfN+8eyrQu3Jzc6Gjo8PNyC7vhg8fjry8PAQFBUFPTw9AWdtCJycnaGpq4vDhw4wTyrt16xa2b9+O3bt3Iy8vD7a2th/9vVRdbt26hQ0bNkg3krVq1Qqurq4wNzdnnIxPgi9M69ati+vXr8v1CU1LS4OFhQXT6ZbyHcQVrU9RVFSEoaEh1qxZg6FDh7KIJ7eOpjI8raOJiYmBnZ0dJkyYgICAAEybNg03btzAhQsXEB0dLfeAQmRVdgRgOZFIBE9PT+lpS6xpamrizJkzcv+u69evx5IlSz561rbQlTfe3rVrF8aMGSOzLlJJSQmGhoaYMmUK8wK6nFgsxuPHj2UemICyIxX79u3L7OhUX19fTJ06FXXr1oWvr+8HP5aHXsr37t2Dg4MD/v77b2m3lXv37sHCwgLHjh1Ds2bNGCesXPkD8o4dO7goTA8ePIhx48ahY8eO6Nq1KwAgNjYWcXFx3ByLzBvBF6YWFhaYPn06Zs2aJXN9w4YN2Lx5M27cuMEo2b+MjIwQFxfHzQ//mi49PR2rVq1CYmIiCgsLYW1tjUWLFnHT15Jn0dHRkEgk6NevHw4ePChzXKGSkhIMDAykIyw82LZtG3766SecP38eLVu2BACsWbMGXl5eOH78OBcnVJWUlCAgIACRkZHIycmR63MZFRXFKNm/PD09sWDBArlTa3jRvn17iEQiJCYmok2bNjKbtEpKSnDnzh0MHjwY+/fvZ5LPyMgIV65cQcOGDT94NKVIJOJizwBQ1gD+zJkzuHnzJoCyUb4BAwYwTlXzmJiYwMnJCV5eXjLXPTw8sGfPHtrbUAHBF6Y7duzArFmzsHDhQvTr1w8AEBkZiTVr1mDdunUyZ9OTygUGBmLs2LFyzbbfvHmD4OBgODs7M0pGqkJmZiaaN2/+wZFyXqxevRq+vr6IiYnBvn374O3tjbCwMHTv3p11NABlHS0CAgIwZMgQ6Orqyo1I+/j4MEpWc3h6ekr/183NTbr5Evh3ZPerr76CkpISq4hEoFRUVJCUlCQ3K5uamoq2bdty0XWDN4IvTAFg8+bNWLFihXRdnKGhIZYtW8a0mKppUz81aW1XaWkp0tLSKhyd4qXtTU3B8zGa71q0aBG2b9+OkpISnDx5EjY2NqwjSWlrayMwMFB6dCEvykchPwUv7eDKWzHxdtxsTRQZGQkfHx+ZdZFz586lUdP/yN7eHqNHj5Y7j37nzp0IDg7GqVOnGCXjFxWm73jy5Anq1asn87TNSk2b+uF1bdf7YmNjMX78eGRmZsqt2+VpLSzveD5Gs7IHud9//x29evVC586dpdd4eKjT09PDuXPnYGZmxjqKjPJRyE/B2xGWb968qfDBU19fn1Gif3311Vfo3LkzFi1aJHN99erViIuLw4EDBxgl+9emTZswZ84cjBo1SmZdZEhICHx8fLjcNMirLVu2YOnSpRgzZoz0gTg2NhYHDhyAp6enzNInXjYJs0aFKfksvK/tel+7du1gZmYGT0/PCqdN3+18QCrn5OSEzMxMrFu3rsJjNIcMGcIs24ce5N7Fy0PdmjVrkJGRgY0bNzI/nKCmS01NxaRJk3DhwgWZ6xKJhJsHz0aNGiEqKkpuTXtycjIGDBiAx48fM0r2r2bNmsHd3V1u74Wfnx+8vb3x4MEDRslqnk9d7sTL1ycPBNlg39raGpGRkdDU1PzodBUvU1S8cnR0BABcu3YNgwYNqnRtFy9SU1MREhIit96H/DdRUVE4evQoOnbsCLFYDAMDA9ja2kJNTQ0rV65kWpjWhIbW5W2YykVFReHkyZNo06YNFBUVZe4dOnSoOqNVKi8vDyEhIUhPT8fChQuhpaWFhIQENG7cGE2bNmUdDwDg4uKCOnXq4Pjx4xU+ePKgsLCwwrWuioqK3HSJyMvLw+DBg+WuDxw4UG6kl3zY+6P25OMEWZgOHz5cukmnvLDiGc+7dsun8AwNDWvE2q4uXbogLS2NCtPPVFRUJF1PrKmpiSdPnsDMzAyWlpbcPMy9ffsWLVu2xPHjx2VOsOHB+yPzI0aMYJTk0yQlJWHAgAFQV1fH3bt3MWXKFGhpaeHQoUPIyspCYGAg64gAyh6Q4+PjpR0YeGRpaYl9+/Zh6dKlMteDg4OZH6VZzsHBAYcPH8bChQtlrh89epRZe0IiHIIsTMuLqZKSEvTt2xdWVlbQ0NBgG+oD5syZI921a2FhweUowLfffss6QqWSkpKkr11dXeHm5obs7GxYWlrKjU7xtmmHVzXhGE1FRUVuj33cuXMn6wj/yfz58+Hi4oLVq1fLHENrb2+P8ePHM0wmq3Xr1nj69CnrGB+0ZMkSjBw5Eunp6TKdYIKCgrhYXwqU/XdcsWIFzp07J7PG9P/+7//g5uYms46bh3XaPLp48SJyc3NlCvnAwEB4eHigqKgIjo6O2LBhg1wnG0JrTFG3bl2kpKR88ro0FnjdtaulpYXbt29DW1sbmpqaHyyYWW5+Km8KX9mXevk9WuPz6fbs2YPi4mK4uLggPj4egwcPxrNnz6CkpISAgACMHTuWdUQAgLe3N27fvo1t27bJrH8m/426ujoSEhJgYmKCBg0aIDExEcbGxsjMzIS5uTk3DwBRUVH4+eef4e3tXeGDp5qaGqNksk6cOAFvb29cu3YN9erVg5WVFTw8PNC7d2/W0QDUvHXaPLKzs0OfPn2kSx+Sk5NhbW0NFxcXtGrVCr/99humTZuGZcuWsQ3KIcH/pLawsEBGRgbXhamSkhKXU88+Pj7S0ZN169axDfMBNWHNYU0zYcIE6esOHTogMzOTm2M03xUXF4fIyEhERETA0tJSrkE8q/WbNW2du7KycoXrH2/fvi3XiYOl8lZG/fv3l7nO24PnkCFDmK7D/hj6mfn5rl27hl9++UX6fnBwMLp06QJ/f38AQPPmzeHh4UGFaQUEX5guX74cCxYswC+//IIOHTrI/eLi4Qnbzc0N69ev527Xbvn0fXFxMUQiEQYNGoTGjRszTiXPwMBA+vr8+fPo1q2b3OhZcXExLly4IPOx5OOePn0KJSUlqKmpwdramnUcORoaGlxtviv37jr34cOHc/V9XREHBwd4eXlJu2uIRCJkZWVh0aJFXP33PXv2LOsIhAAAnj9/LvP7MDo6GnZ2dtL3O3XqhHv37rGIxj3BT+W/28rh3V8OPD1hjxgxAmfPnoWWlha3u3ZVVFSQkpLCfWFXkw4C4FVeXh4WL16Mffv24fnz5wDKWuBMnDgRS5YsgYqKCuOE5EvLz8/HqFGjcOXKFRQUFEBPTw/Z2dno2rUrwsLCuD2qlEclJSXw8fHB/v37Kzycgpeez/fv38exY8cqzLh27VpGqWoOAwMD7N69G7169cKbN2+goaGB0NBQ6Wh+cnIyevfuzc2/N08EP2JaE56wNTQ0uN+127lzZ1y9epX7wrT8geN9ubm59Mv1Ezx79gxdu3bFgwcP4OTkJN3tfuPGDWzYsAGnT59GTEwMkpKSEBsbSxsjPoGxsTHi4uLQsGFDmet5eXmwtrbmYg2furq6zL9tYWEhrK2tuT0FiOcTyTw9PbFt2za4ubnh559/xuLFi3H37l0cOXJEbqc+K5GRkXBwcICxsTFu3rwJCwsL3L17FxKJhMuZER7Z29vD3d0dv/76K44cOQIVFRX07NlTej8pKQkmJiYME/JL8COm5MvYv38/fvzxR8ybN6/CJRGsfyGU9408evQoBg8eLLMTsqSkBElJSTA3N0d4eDiriDXC3LlzERkZiTNnzsgt28jOzsbAgQNhbm6OiIgI+Pr6Mu/WYGRk9MFpch6KPrFYjOzsbLlR/MePH6N58+ZyxRWpHM8nkpUzMTGBr68vhgwZggYNGuDatWvSa7Gxsfjzzz9ZR0Tnzp1hZ2cHT09P6WY3HR0dODk5YfDgwZgxYwbriNx7+vQpRo4ciZiYGKiqqmLXrl0yA0z9+/eHjY0NVqxYwTAlnwQ/YgoAf/31F7Zu3YqMjAwcOHAATZs2xe7du2FkZIQePXqwjlcjjBs3DoBs6xCedruX942USCRo0KAB6tWrJ72npKQEGxsbTJkyhVW8GuPIkSPYunVrhWuJmzRpgtWrV8Pe3h4eHh7Mi1KgrJB+19u3b3H16lWEh4fL9WisbseOHZO+PnXqlExv05KSEkRGRnKxKbO0tBQBAQE4dOgQ7t69C5FIBCMjI4waNQrffPMNV+tj586di7y8PFy6dKnCE8l4UN6qDgBUVVWRn58PABg6dCiWLFnCMppUSkoKgoKCAAB16tTBq1evoKqqCi8vLwwfPpwK00+gra2N8+fPIz8/H6qqqlBQUJC5f+DAAS6OP+eR4AvTgwcP4ptvvoGTkxMSEhLw+vVrAGVrqry9vREWFsYsW2UtmNTV1WFmZoYFCxbA1taWQTJ5vO/iLO8baWhoiAULFtC0/f/o0aNHaNOmTaX3LSwsIBaLuTk7fc6cORVe9/Pzw5UrV6o5jazywz1EIpFcEa+oqAhDQ0PmxZREIoGDgwPCwsLQtm1bWFpaQiKRICUlBS4uLjh06BCOHDnCNOO7eD6RrFyzZs3w6NEj6Ovrw8TEBBEREbC2tkZcXBw3PS3r168vHanX1dVFenq69Pue9z6xvKnsmGstLa1qTlJzCL4wXb58ObZs2QJnZ2cEBwdLr3fv3h3Lly9nmKzyFkx5eXmIj4/H0KFDERISgmHDhlVvsArwvra0HC8FU02lra2Nu3fvolmzZhXev3PnjtyUNI/s7Ozw448/Mm10X36Cm5GREeLi4rhqs1UuICAA58+fR2RkJPr27StzLyoqCo6OjggMDISzszOjhLJqwolkI0aMQGRkJLp06QJXV1dMmDAB27dvR1ZWFubNm8c6HgDAxsYGMTExaNWqFezt7eHm5obk5GQcOnQINjY2rOORWk7whemtW7fQq1cvuevq6urIy8ur/kDv+NhUaLt27bBy5UouCtPc3Fzp5o179+7B398fr169goODg8yCb9ZqwppDng0aNAiLFy/G6dOn5c77fv36NZYsWVLhGdu8CQkJ4WbEgufZhqCgIPz0009yRSkA9OvXD+7u7ti7dy83hWlNOJFs1apV0tdjx46FgYEBLly4AFNTUy5+lgNlu+4LCwsBlG3WKiwsxL59+2Bqako78kmVE/zmJ2NjY/zxxx8YMGCAzIkmgYGBWLVqFW7cuME6YqVu374NGxsbpu0mkpOTMWzYMNy7dw+mpqYIDg7G4MGDUVRUBLFYjKKiIoSEhEinLVlbv369zPvvrzl0d3dnlKxmuH//Pjp27AhlZWXMnDkTLVu2lE7tbtq0Ca9fv0ZcXBz09fWZ5vTy8oKbmxt69Ogh1wYuOzsbT548waZNmzB16lRmGe3t7REUFCSd6lu1ahWmT58uPR45NzcXPXv2ZPozqEmTJggPD0e7du0qvH/16lXY2dkhOzu7eoNVgvcTyfbt24djx47hzZs36N+/P6ZPn840DyE8EnxhunLlSuzZswc7duyAra0twsLCkJmZiXnz5mHJkiVwdXVlHbFSycnJsLW1ZfpLwc7ODnXq1IG7uzt2796N48ePY9CgQdLTLVxdXREfH4/Y2FhmGT9F+ZrDmnaGOQt37tzB999/j4iICOkxryKRCLa2tti4cSMXp5SV96vdtGmTTGEqFovRqFEj9OnTBy1btmSYUL6nrpqaGq5duwZjY2MAZbvy9fT0mG4cVFJSQmZmZqWjjQ8fPoSRkZF0bT5vXr58yc2JZJs3b8bMmTNhamqKevXqITk5GfPnz8dvv/3GNBchvBF8YSqRSODt7Y2VK1fi5cuXAMqO3ys/DYpnc+fOxc2bN5m2ONLW1kZUVBSsrKxQWFgINTU1xMXFoUOHDgCAmzdvwsbGhvmyiI/JyMhAu3btKjx2kVTs+fPnSE1NBQC0aNGCm6lxoPIWTDx5P+O7MzYAH4WpgoICsrOzKz12lIeMFXn3RDJetGnTBmPGjJGuc9+zZw+mTZuGoqIixsnkVbbxViQSoW7dumjRogVcXFwwceJEBulIbSf4NaYikQiLFy/GwoULkZaWhsLCQrRu3ZqLNg7z58+v8Hp+fj4SEhJw+/ZtnD9/vppTyXr27BmaNGkCoKz1Sf369aGpqSm9r6mpiYKCAlbxPhlPaw5rCk1NTXTu3Jl1jErx1MaoppJIJHBxcal0tzhPI6W8n0iWkZEhs29g/PjxmDx5Mh49esTN+tdyS5cuxYoVK2BnZyf9Hr98+TLCw8Mxc+ZM3LlzBzNmzEBxcTG12SNfnOAL03JKSkpo3bo16xgyrl69WuF1NTU12Nra4tChQ1z0OXy/AOC5IGjfvv0H1xyS2sPMzOyjX4ss12eLRCLuv3c+pRctDxufasKJZK9fv5ZpUycWi6GkpIRXr15Ve5aPiYmJwfLly+XWwG7duhURERE4ePAgrKys4OvrS4Up+eIEP5X/zz//YMOGDTh79ixycnKkLVzK8dJihFdisRh2dnbSEZXQ0FD069dP+gP49evXCA8P52aqz9PTU+Z9ntYcki9HLBZj3bp1lfYQLMfyEICa9r3Ds5pwIplYLMbUqVNlRm79/PwwYcIEma9THna9q6qq4tq1a3LrxdPS0tCuXTsUFhYiPT0dVlZWXC5FIDWb4AtTJycnREREYNSoUWjcuLHciAX1vfywT11jRJuKSHWqCWtM6XvnyzE0NMTWrVsxaNCgCu+Hh4dLTyRj9TO9T58+Hx0RF4lEiIqKqqZEldPX18e8efPk+qr6+PjAx8cHWVlZSEpKwsCBA7npyEBqD8EXpurq6ggLC0P37t1ZRyHVpKSkBEeOHEFKSgqAsk0JDg4OckfGkZrr/R3vpHZTVlZGenp6pQc/3L9/H4aGhiguLq7mZDWTv78/ZsyYAXt7e+ka07i4OISFhWHLli2YPHky1qxZg8uXL2Pfvn2M05LaRvBrTJs2bYoGDRqwjkGqSVpaGuzt7fHgwQOYm5sDKGsZ1rx5c5w4cQImJiaME5IvQeDP24JTW04k48WUKVPQunVrbNy4EYcOHQJQdnhBdHQ0unXrBgBwc3NjGZHUYoIfMT158iR8fX2xZcuWGnOsJvnf2dvbQyKRYO/evdJd+Lm5uZgwYQLEYjFOnDjBOCEh5L+aNGkS0tPTKz2RbNCgQTA2NsaOHTsYJSSEfCrBF6ZPnjzBmDFjcP78eaioqEBRUVHmPstdu+TLq1+/PmJjY2FpaSlzPTExEd27d5cew0cIqTlqyolkNUlpaSnS0tIq3BRc0THehHwpgp/K//rrr/HgwQN4e3tXuPmJ1C7KysoV9lUtLCyUG2khhNQMzZo1w8WLF/H999/jxx9/rPBEMipKP11sbCzGjx+PzMxMuWUxIpGIOkWQKiX4EVMVFRVcvHgRbdu2ZR2FVANnZ2ckJCRg+/bt0kX9ly5dwpQpU9ChQwcEBASwDUgI+Sw8n0hWU7Rr1w5mZmbw9PSErq6u3IDNx9qwEfI5BF+YWltbY9OmTbCxsWEdhVSDvLw8fPvttwgNDZUu2yguLoaDgwMCAgLoBy4hpEoZGhpi0qRJcHFx4XYUt379+khMTJTrY0pIdRCzDsDaqlWr4ObmhnPnziE3NxcvXryQeSO1i4aGBo4ePYrbt28jJCQEISEhuHXrFg4fPkxFKSGkys2dOxeHDh2CsbExbG1tERwczNXRrgDQpUsXpKWlsY5BBErwI6ZicVlt/v5UhUQiobU0AlBcXIx//vkHqqqqrKMQQgQkISEBAQEBCAoKQklJCcaPH49JkybB2tqadTQcPnwYP//8MxYuXAhLS0u5TcFWVlaMkhEhEHxhGh0d/cH7vXv3rqYkpCqFhoYiNzcXLi4u0msrVqzAL7/8guLiYvTr1w/79u2DpqYmu5CEEMF5+/YtNm3ahEWLFuHt27ewtLTE7NmzMXHiRGabccsHbN4lEolowIZUC8EXph9y/fp1WFhYsI5BvoC+ffti1KhRmDlzJgDgwoUL6NmzJ7y8vNCqVSssXrwYdnZ2XJxTTQip/d6+fYvDhw9j586dOH36NGxsbDB58mTcv38ffn5+6NevH/78808m2TIzMz94n3p+k6pEhel7CgoKEBQUhG3btiE+Pp6eDGsJHR0dnDp1Cu3btwcAzJ8/Hzdu3EB4eDgAICwsDHPmzJHu5iWEkKqQkJCAnTt3IigoCGKxGM7Ozvjuu+/QsmVL6cdcv34dnTp1wqtXrxgmJYQNwfcxLXf+/Hls374dBw8ehJ6eHkaOHAk/Pz/WscgXUlBQgIYNG0rfj4mJwejRo6Xvt2nTBg8fPmQRjRAiIJ06dYKtrS02b94MR0dHufWbAGBkZIRx48ZVa65jx47Bzs4OioqKOHbs2Ac/1sHBoZpSESESdGGanZ2NgIAAbN++HS9evMCYMWPw+vVrHDlyBK1bt2Ydj3xBTZs2RUpKCvT19VFYWIjExET4+PhI7+fm5kJFRYVhQkKIEGRkZHx0Krx+/frYuXNnNSUq4+joiOzsbOjo6MDR0bHSj6M1pqSqCbZd1LBhw2Bubo6kpCSsW7cODx8+xIYNG1jHIlVk9OjRmDt3Lnbv3o0pU6agSZMmMr1rr1y5AnNzc4YJCSFCwOv6zNLSUujo6EhfV/ZGRSmpaoIdMT158iRmz56NGTNmwNTUlHUcUsWWLl2KBw8eYPbs2WjSpAn27NkDBQUF6f2goCAMGzaMYUJCiBCUlJTAx8cH+/fvR1ZWFt68eSNz/9mzZ4ySEcIHwY6YxsTEoKCgAB06dECXLl2wceNGPH36lHUsUkXq1auHwMBAPH/+HCkpKejZs6fM/bNnz2LRokWM0hFChMLT0xNr167F2LFjkZ+fj/nz52PkyJEQi8VYtmwZ02wXL17E8ePHZa4FBgbCyMgIOjo6mDp1KneHAZDaR7CFqY2NDfz9/fHo0SNMmzYNwcHB0NPTQ2lpKU6fPo2CggLWEQkhhNQye/fuhb+/P9zc3FCnTh18/fXX2LZtG5YuXYrY2Fim2by8vPD3339L309OTsbkyZMxYMAAuLu7IzQ0FCtXrmSYkAgBtYt6x61bt7B9+3bs3r0beXl5sLW1/ejuREIIIeRT1a9fX7oRU1dXFydOnIC1tTUyMjLQvn175OfnM8umq6uL0NBQdOzYEQCwePFiREdHIyYmBgBw4MABeHh44MaNG8wyktpPsCOmFTE3N8fq1atx//59BAUFsY5DCCGklmnWrBkePXoEADAxMUFERAQAIC4uDsrKyiyj4fnz52jcuLH0/ejoaNjZ2Unf79SpE+7du8ciGhEQKkwroKCgAEdHRxotJYQQ8kWNGDECkZGRAABXV1csWbIEpqamcHZ2xqRJk5hma9y4Me7cuQMAePPmDRISEmS6lxQUFFTYd5WQL0mwu/IJIYSQ6rZq1Srp67Fjx0JfXx8XL16Eqakp884g9vb2cHd3x6+//oojR45ARUVFZqNoUlISTExMGCYkQkBrTIngFBUVITo6usJWLbNnz2aUihBC2Hr69ClGjhyJmJgYqKqqYteuXRgxYoT0fv/+/WFjY4MVK1YwTElqOypMiaBcvXoV9vb2ePnyJYqKiqClpYWnT59CRUUFOjo6yMjIYB2REFLLpaam4uzZs8jJyUFpaanMvaVLlzJK9a/8/HyoqqrK9HoGynqsqqqqQklJiVEyIgRUmBJB6dOnD8zMzLBlyxaoq6sjMTERioqKmDBhAubMmYORI0eyjkgIqcX8/f0xY8YMaGtro0mTJhCJRNJ7IpEICQkJDNMRwh4VpkRQNDQ0cOnSJZibm0NDQwMXL15Eq1atcOnSJXz77be4efMm64iEkFrMwMAA33//PR3oQUglaFc+ERRFRUWIxWVf9jo6OsjKygIAqKurUxsUQkiVe/78OUaPHs06BiHcosKUCEr79u0RFxcHAOjduzeWLl2KvXv3Yu7cubCwsGCcjhBS240ePVrau5QQIo+m8omgXLlyBQUFBejbty9ycnLg7OyMCxcuwNTUFDt27EDbtm1ZRySE1DK+vr7S10VFRVi7di2GDBkCS0tLub6g1BmECB0VpoQQQkgVMjIy+qSPE4lE1BmECB4VpoQQQgghhAu0xpQIyuPHj/HNN99AT08PderUgYKCgswbIYRUJS8vL7x8+VLu+qtXr+Dl5cUgESF8oRFTIih2dnbIysrCrFmzoKurK9NDEACGDx/OKBkhRAgUFBTw6NEj6OjoyFzPzc2Fjo4OSkpKGCUjhA91WAcgpDrFxMTgr7/+Qrt27VhHIYQIkEQikXsgBoDExERoaWkxSEQIX6gwJYLSvHlz0CQBIaS6aWpqQiQSQSQSwczMTKY4LSkpQWFhIaZPn84wISF8oKl8IigRERFYs2YNtm7dCkNDQ9ZxCCECsWvXLkgkEkyaNAnr1q2Durq69J6SkhIMDQ3RtWtXhgkJ4QMVpkRQNDU18fLlSxQXF0NFRUWuh+CzZ88YJSOECEF0dDS6desm97OHEFKGpvKJoKxbt451BEKIgPXu3Vv6+p9//sGbN29k7qupqVV3JEK4QiOmhBBCSDV5+fIlfvjhB+zfvx+5ubly92lXPhE66mNKar0XL17IvP7QGyGEVKWFCxciKioKmzdvhrKyMrZt2wZPT0/o6ekhMDCQdTxCmKMRU1Lrvds3UCwWV9iqpbyFC41WEEKqkr6+PgIDA9GnTx+oqakhISEBLVq0wO7duxEUFISwsDDWEQlhitaYklovKipK2h/w7NmzjNMQQoTs2bNnMDY2BlC2nrR8w2WPHj0wY8YMltEI4QIVpqTWe3ezwbuvCSGkuhkbG+POnTvQ19dHy5YtsX//fnTu3BmhoaHQ0NBgHY8Q5mgqnwhOXl4eLl++jJycHJSWlsrcc3Z2ZpSKECIEPj4+UFBQwOzZs3HmzBkMGzYMEokEb9++xdq1azFnzhzWEQlhigpTIiihoaFwcnJCYWEh1NTUZNabikQi6mNKCKlWmZmZiI+PR4sWLWBlZcU6DiHMUWFKBMXMzAz29vbw9vaGiooK6ziEEEIIeQe1iyKC8uDBA8yePZuKUkJItYqKikLr1q0rbEuXn5+PNm3a4K+//mKQjBC+UGFKBGXQoEG4cuUK6xiEEIFZt24dpkyZUuHJTurq6pg2bRrWrl3LIBkhfKGpfFLrHTt2TPr6yZMn8PLywsSJE2FpaSl3XrWDg0N1xyOECICBgQHCw8PRqlWrCu/fvHkTAwcORFZWVjUnI4QvVJiSWk8s/rSJAWqwTwipKnXr1sX169fRokWLCu+npaXB0tISr169quZkhPCFpvJJrVdaWvpJb1SUEkKqStOmTXH9+vVK7yclJUFXV7caExHCJypMCSGEkCpmb2+PJUuW4J9//pG79+rVK3h4eGDo0KEMkhHCF5rKJ4IQFRWFWbNmITY2Vm7zQX5+Prp164bNmzejV69ejBISQmqzx48fw9raGgoKCpg1axbMzc0BlK0t9fPzQ0lJCRISEtC4cWPGSQlhiwpTIggODg7o27cv5s2bV+F9X19fnD17FocPH67mZIQQocjMzMSMGTNw6tQplP/qFYlEGDRoEPz8/GBkZMQ4ISHsUWFKBIF2xBJCePH8+XOkpaVBIpHA1NQUmpqarCMRwo06rAMQUh0eP34s1xrqXXXq1MGTJ0+qMREhRKg0NTXRqVMn1jEI4RJtfiKCQDtiCSGEEP5RYUoEgXbEEkIIIfyjNaZEEGhHLCGEEMI/KkyJYNCOWEIIIYRvVJgSwaEdsYQQQgifqDAlhBBCCCFcoM1PhBBCCCGEC1SYEkIIIYQQLlBhSgghhBBCuECFKSGEVKG7d+9CJBLh2rVrH/y4ZcuWoV27dtL3XVxc4OjoWKXZCCGEN3QkKSGEVKHmzZvj0aNH0NbW/k+ft379etDeVEKI0FBhSgghVUhBQQFNmjSp9L5EIkFJSYncdXV19aqMRQghXKKpfEII+Uzh4eHo0aMHNDQ00LBhQwwdOhTp6ekA5Kfyz507B5FIhJMnT6JDhw5QVlZGTEyM3P/n+1P5ffr0wezZs/HDDz9AS0sLTZo0wbJly2Q+Jy8vD9999x0aNWoENTU19OvXD4mJiVX11yaEkC+OClNCCPlMRUVFmD9/Pq5cuYLIyEiIxWKMGDECpaWllX6Ou7s7Vq1ahZSUFFhZWX3Sn7Nr1y7Ur18fly5dwurVq+Hl5YXTp09L748ePRo5OTk4efIk4uPjYW1tjf79++PZs2ef/XckhJDqQFP5hBDymb766iuZ93fs2IFGjRrhxo0bUFVVrfBzvLy8YGtr+5/+HCsrK3h4eAAATE1NsXHjRkRGRsLW1hYxMTG4fPkycnJyoKysDAD4/fffceTIEYSEhGDq1Kn/w9+MEEKqF42YEkLIZ0pNTcXXX38NY2NjqKmpwdDQEACQlZVV6ed07NjxP/8574+s6urqIicnBwCQmJiIwsJCNGzYEKqqqtK3O3fuSJcVEEII72jElBBCPtOwYcNgYGAAf39/6OnpobS0FBYWFnjz5k2ln1O/fv3//OcoKirKvC8SiaTLBQoLC6Grq4tz587JfZ6GhsZ//rMIIYQFKkwJIeQz5Obm4tatW/D390fPnj0BoMLNTFXN2toa2dnZqFOnjnTElhBCahqayieEkM+gqamJhg0b4o8//kBaWhqioqIwf/78as8xYMAAdO3aFY6OjoiIiMDdu3dx4cIFLF68GFeuXKn2PIQQ8r+gwpQQQj6DWCxGcHAw4uPjYWFhgXnz5uG3336r9hwikQhhYWHo1asXJk6cCDMzM4wbNw6ZmZlo3LhxtechhJD/hUhCR4sQQgghhBAO0IgpIYQQQgjhAhWmhBBCCCGEC1SYEkIIIYQQLlBhSgghhBBCuECFKSGEEEII4QIVpoQQQgghhAtUmBJCCCGEEC5QYUoIIYQQQrhAhSkhhBBCCOECFaaEEEIIIYQLVJgSQgghhBAuUGFKCCGEEEK48P+PcQuz7R2tVwAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plotting average overall ratings for the top 15 airlines with most reviews\n", "plt.figure(figsize=(8,3))\n", "ax = sns.barplot(x='airline', y='overall', data=df, order=df['airline'].value_counts().iloc[:15].index)\n", "\n", "for label in ax.containers:\n", " ax.bar_label(label, label_type='center', fmt='%.1f')\n", "\n", "plt.title('Average Overall Ratings for top 15 Airlines with most reviews')\n", "plt.xticks(rotation=90)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "3fef5791", "metadata": {}, "source": [ "## 2. Author\n", "- Analyzing authors who posted most number of reviews" ] }, { "cell_type": "code", "execution_count": 19, "id": "c7734344", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of Distinct Reviewers: 17833\n" ] } ], "source": [ "print(f\"Number of Distinct Reviewers: {df['author'].nunique()}\")" ] }, { "cell_type": "code", "execution_count": 20, "id": "254332d4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Michel Perrin 48\n", "Anders Pedersen 46\n", "T Eldem 40\n", "John Curtain 39\n", "Neil Jeram 39\n", "Alwaleed Althani 35\n", "R Sanyal 30\n", "Bojan Tercon 28\n", "Rajan Parrikar 27\n", "L Pearce 27\n", "Name: author, dtype: int64" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Top 10 reviewers\n", "df['author'].value_counts().iloc[:10]" ] }, { "cell_type": "markdown", "id": "de0a494b", "metadata": {}, "source": [ "#### Observations:\n", "- Using `author` column we can make a mild assumption of how often does a person flies. We shall create a new column called `frequency` based on this assumption." ] }, { "cell_type": "markdown", "id": "0a673481", "metadata": {}, "source": [ "## 3. Traveller_type" ] }, { "cell_type": "code", "execution_count": 21, "id": "3eb5d030", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plotting number of reviews for different traveller types\n", "plt.figure(figsize=(5,3))\n", "ax = sns.countplot(data=df, x='traveller_type', hue='recommended', order=df['traveller_type'].value_counts().index)\n", "\n", "for label in ax.containers:\n", " ax.bar_label(label, label_type='center')\n", " \n", "plt.title('Number of reviews for different traveller types')\n", "plt.xticks(rotation=45)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "3571cd92", "metadata": {}, "source": [ "#### Observations:\n", "- Most of the reviewers were `Solo Leisure` travellers.\n", "- It should also be observed that `Solo Leisure` travellers are more likely to positively recommend the airline." ] }, { "cell_type": "markdown", "id": "d7a0d2f4", "metadata": {}, "source": [ "## 4. Cabin" ] }, { "cell_type": "code", "execution_count": 22, "id": "0b446340", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plotting Number of reviews per cabin type\n", "plt.figure(figsize=(7,4))\n", "ax = sns.countplot(data=df, x='cabin', hue='recommended', order=df['cabin'].value_counts().index)\n", "\n", "for label in ax.containers:\n", " ax.bar_label(label, label_type='edge')\n", " \n", "plt.title('Number of reviews per cabin type')\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "b604443a", "metadata": {}, "source": [ "#### Observations:\n", "- Most Number of reviewers travelled in `Economy` class.\n", "- `Business` class travellers are far more likely to positively recommend the airlines as compared to others." ] }, { "cell_type": "markdown", "id": "9a72ab67", "metadata": {}, "source": [ "## 5. Ratings" ] }, { "cell_type": "code", "execution_count": 23, "id": "39af6204", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Creating a subplot to showcase frequency distribution of various ratings.\n", "fig, axs = plt.subplots(nrows=2, ncols=3, figsize=(12, 7))\n", "axs = axs.flatten()\n", "\n", "rating_cols = ['seat_comfort', 'cabin_service', 'food_bev', 'entertainment', 'ground_service', 'value_for_money']\n", "\n", "for i, col in enumerate(rating_cols):\n", " sns.countplot(x=col, data=df, ax=axs[i])\n", " axs[i].set_title(f'{col} ratings')\n", " axs[i].set_xlabel('rating')\n", " axs[i].set_ylabel('Count')\n", " axs[i].tick_params(axis='x', rotation=45)\n", " \n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "e5e228b3", "metadata": {}, "source": [ "### Observations: (for all airlines)\n", "- `Seat comfort` ratings seem to be average. \n", "- `Cabin service` seems to be good overall since passengers have mostly given 5 rating. This may vary from airline to airline.\n", "- `Food_beverage`, `Entertainment` and `Ground`services need to improve quite a lot since psaaengers have predominantly given 1 rating out of 5.\n", "- Most of the people seem to believe that the airline services overall do not provide `value for money`." ] }, { "cell_type": "markdown", "id": "cb84a248", "metadata": {}, "source": [ "## 6. Overall Ratings " ] }, { "cell_type": "code", "execution_count": 30, "id": "9d061e41", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(10,4))\n", "ax = sns.countplot(data=df, x=\"overall\", hue=\"recommended\")\n", "for label in ax.containers:\n", " ax.bar_label(label, label_type='edge')\n", "\n", "plt.title(\"Overall Ratings\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "751e7e24", "metadata": {}, "source": [ "### Observations:\n", "- Overall Ratings seems to be a great measure to analyze how likely a passenger is to recommend the airline.\n", "- For the most part we can easily say that a passenger that gives a rating greater than 5 is quite likely to recommend the airline, but there seems to be a gray area, especially in the range of (3.0 - 7.0) where people may or may not recommend the airline based on the ratings.\n", "- To clarify this gray area we shall further analyze the passenger reviews by performing sentiment analysis and combine their outputs." ] }, { "cell_type": "markdown", "id": "799acff0", "metadata": {}, "source": [ "# Feature Engineering" ] }, { "cell_type": "markdown", "id": "b79d7f61", "metadata": {}, "source": [ "## 1. User Flight Frequency\n", "- Using `author` column we shall create a new feature called `frequency` which denoted how often does a user fly." ] }, { "cell_type": "code", "execution_count": 73, "id": "784795e8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Michel Perrin 48\n", "Anders Pedersen 46\n", "T Eldem 40\n", "John Curtain 39\n", "Neil Jeram 39\n", " ..\n", "Leonie Burns 1\n", "H Miyagi 1\n", "D Korn 1\n", "M Donnelson 1\n", "Anatoli Chernyaev 1\n", "Name: author, Length: 17833, dtype: int64" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['author'].value_counts()" ] }, { "cell_type": "code", "execution_count": 74, "id": "7d5ad7c2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "High freq cust = 19\n", "med freq cust = 40\n", "low freq cust = 17774\n" ] } ], "source": [ "# Classifying users based on their flight frequency\n", "high = list(df[\"author\"].value_counts()[df[\"author\"].value_counts() >= 20].index)\n", "med = list(df[\"author\"].value_counts()[(df[\"author\"].value_counts() >= 10) & (df[\"author\"].value_counts() < 20)].index)\n", "low = list(df[\"author\"].value_counts()[df[\"author\"].value_counts() < 10].index)\n", "\n", "print(f\"High freq cust = {len(high)}\")\n", "print(f\"med freq cust = {len(med)}\")\n", "print(f\"low freq cust = {len(low)}\")" ] }, { "cell_type": "code", "execution_count": 75, "id": "4700318a", "metadata": {}, "outputs": [], "source": [ "def freq(name):\n", " if name in high:\n", " return \"Often\"\n", " elif name in med:\n", " return \"Occasionally\"\n", " else:\n", " return \"Rarely\"\n", " \n", "# Creating a new column called 'frequency'\n", "df[\"frequency\"] = df[\"author\"].apply(lambda x : freq(x))" ] }, { "cell_type": "markdown", "id": "3d820e7d", "metadata": {}, "source": [ "## 2. Type of Flight\n", "- Using `route` column we can identify if the user had a direct or an indirect flight.\n", "- If the `route` string contains the the word `via`, we shall classify that flight as indirect flight." ] }, { "cell_type": "code", "execution_count": 76, "id": "cf508a31", "metadata": {}, "outputs": [], "source": [ "df['type_of_flight'] = np.where(df['route'].str.contains('via'), 'Indirect', 'Direct')" ] }, { "cell_type": "code", "execution_count": 77, "id": "e6474c19", "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "Direct 14069\n", "Indirect 8757\n", "Name: type_of_flight, dtype: int64" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['type_of_flight'].value_counts()" ] }, { "cell_type": "code", "execution_count": 78, "id": "607d0bc3", "metadata": {}, "outputs": [], "source": [ "# Dropping Route column\n", "df.drop(columns=['route'], inplace=True)" ] }, { "cell_type": "markdown", "id": "2d981528", "metadata": {}, "source": [ "## 3. Classifying Airlines with less than 70 reviews as 'Other'" ] }, { "cell_type": "code", "execution_count": 79, "id": "98783ed1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['Eurowings',\n", " 'Copa Airlines',\n", " 'Royal Air Maroc',\n", " 'Virgin America',\n", " 'Pegasus Airlines',\n", " 'AirAsia',\n", " 'Bangkok Airways',\n", " 'IndiGo',\n", " 'Air Arabia',\n", " 'TAROM Romanian',\n", " 'airBaltic',\n", " 'Thai Smile Airways',\n", " 'Tunisair',\n", " 'Adria Airways',\n", " 'Germanwings',\n", " 'QantasLink']" ] }, "execution_count": 79, "metadata": {}, "output_type": "execute_result" } ], "source": [ "others = list(df[\"airline\"].value_counts()[df[\"airline\"].value_counts() <= 70].index)\n", "others" ] }, { "cell_type": "code", "execution_count": 80, "id": "eaf57194", "metadata": {}, "outputs": [], "source": [ "# Defining a function to rename airlines present in 'others' list to 'other'.\n", "def airline(name):\n", " if name in others:\n", " return \"other\"\n", " else:\n", " return name\n", " \n", "df[\"airline\"] = df[\"airline\"].apply(lambda x : airline(x))" ] }, { "cell_type": "code", "execution_count": 81, "id": "bc6f23f4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "American Airlines 1333\n", "United Airlines 1291\n", "British Airways 1255\n", "China Southern Airlines 1151\n", "Emirates 1058\n", " ... \n", "South African Airways 91\n", "Brussels Airlines 79\n", "Egyptair 77\n", "flydubai 73\n", "easyJet 72\n", "Name: airline, Length: 66, dtype: int64" ] }, "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[\"airline\"].value_counts()" ] }, { "cell_type": "markdown", "id": "5eb1a7f4", "metadata": { "tags": [] }, "source": [ "# Rearranging columns and finalizing our clean dataset" ] }, { "cell_type": "code", "execution_count": 82, "id": "184b83d4", "metadata": {}, "outputs": [], "source": [ "cols = ['review_date', 'author', 'airline', 'traveller_type', 'cabin' , 'type_of_flight', 'frequency', 'seat_comfort',\n", " 'cabin_service', 'food_bev', 'entertainment', 'ground_service',\n", " 'value_for_money', 'overall', 'customer_review', 'recommended']\n", "\n", "# Preparing final dataframe\n", "df = df.loc[:, cols]" ] }, { "cell_type": "code", "execution_count": 83, "id": "b5247d70", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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review_dateauthorairlinetraveller_typecabintype_of_flightfrequencyseat_comfortcabin_servicefood_beventertainmentground_servicevalue_for_moneyoverallcustomer_reviewrecommended
08th May 2019Christopher HackleyTurkish AirlinesBusinessEconomy ClassIndirectRarely4.05.04.04.02.04.07.0✅ Trip Verified | London to Izmir via Istanb...yes
17th May 2019Adriana PisoiTurkish AirlinesFamily LeisureEconomy ClassDirectRarely4.01.01.01.01.01.02.0✅ Trip Verified | Istanbul to Bucharest. We ...no
27th May 2019M GalerkoTurkish AirlinesBusinessEconomy ClassIndirectRarely1.04.01.03.01.02.03.0✅ Trip Verified | Rome to Prishtina via Ista...no
36th May 2019Zeshan ShahTurkish AirlinesSolo LeisureEconomy ClassDirectRarely4.05.05.05.05.05.010.0✅ Trip Verified | Flew on Turkish Airlines I...yes
46th May 2019Pooja JainTurkish AirlinesSolo LeisureEconomy ClassIndirectRarely1.01.01.01.01.01.01.0✅ Trip Verified | Mumbai to Dublin via Istan...no
\n", "
" ], "text/plain": [ " review_date author airline traveller_type \\\n", "0 8th May 2019 Christopher Hackley Turkish Airlines Business \n", "1 7th May 2019 Adriana Pisoi Turkish Airlines Family Leisure \n", "2 7th May 2019 M Galerko Turkish Airlines Business \n", "3 6th May 2019 Zeshan Shah Turkish Airlines Solo Leisure \n", "4 6th May 2019 Pooja Jain Turkish Airlines Solo Leisure \n", "\n", " cabin type_of_flight frequency seat_comfort cabin_service \\\n", "0 Economy Class Indirect Rarely 4.0 5.0 \n", "1 Economy Class Direct Rarely 4.0 1.0 \n", "2 Economy Class Indirect Rarely 1.0 4.0 \n", "3 Economy Class Direct Rarely 4.0 5.0 \n", "4 Economy Class Indirect Rarely 1.0 1.0 \n", "\n", " food_bev entertainment ground_service value_for_money overall \\\n", "0 4.0 4.0 2.0 4.0 7.0 \n", "1 1.0 1.0 1.0 1.0 2.0 \n", "2 1.0 3.0 1.0 2.0 3.0 \n", "3 5.0 5.0 5.0 5.0 10.0 \n", "4 1.0 1.0 1.0 1.0 1.0 \n", "\n", " customer_review recommended \n", "0 ✅ Trip Verified | London to Izmir via Istanb... yes \n", "1 ✅ Trip Verified | Istanbul to Bucharest. We ... no \n", "2 ✅ Trip Verified | Rome to Prishtina via Ista... no \n", "3 ✅ Trip Verified | Flew on Turkish Airlines I... yes \n", "4 ✅ Trip Verified | Mumbai to Dublin via Istan... no " ] }, "execution_count": 83, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "id": "c10f69cc", "metadata": {}, "source": [ "# Performing basic text cleaning on 'customer_review' column" ] }, { "cell_type": "code", "execution_count": 84, "id": "9e9f7f78", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3797 ✅ Trip Verified | I was flying out of Atlant...\n", "18374 Athens to Montreal with Air Canada rouge. The ...\n", "3969 Not Verified | We have flown American Airlines...\n", "10985 ❎ Unverified | Denpasar to Vancouver via Sha...\n", "14138 Qantas from Sydney to Manila, and Bangkok to S...\n", "1667 Great service and attention on these Qatar Air...\n", "16324 ✅ Verified Review | On my first flight from ...\n", "16552 ✅ Trip Verified | Flew Singapore Airlines fr...\n", "7751 ✅ Trip Verified | Malé to Zurich via Moscow...\n", "9109 There was no in-flight entertainment. Even the...\n", "Name: customer_review, dtype: object" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['customer_review'].sample(10)" ] }, { "cell_type": "code", "execution_count": 85, "id": "6eea2021", "metadata": {}, "outputs": [], "source": [ "# Splitting the reviews on '|' and keeping only the review portion\n", "def basic_cleaning(review):\n", " split_review = review.split('|')\n", " if len(split_review) > 1:\n", " return split_review[1].strip()\n", " else:\n", " return split_review[0].strip()\n", " \n", "df['customer_review'] = df['customer_review'].apply(lambda x : basic_cleaning(x))" ] }, { "cell_type": "code", "execution_count": 86, "id": "f3953ae5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "11372 Toronto to Guangzhou, it is a very popular cho...\n", "4877 We purchased first class seats to fly New York...\n", "3491 Flew from London to Los Angeles via Amsterdam....\n", "21532 Icelandair is okay in business class, but refu...\n", "13829 Sydney to Bangkok 14 June. Having flown with t...\n", "12159 Auckland to London via Guanghzou return with C...\n", "4207 Harrisburg to Philadelphia. This was the worst...\n", "13975 Sydney to Brisbane. It was quite a smooth flig...\n", "14524 Los Angeles to Paris CDG in First Class, conne...\n", "3912 Norfolk to Honolulu via Dallas Ft Worth. Best ...\n", "Name: customer_review, dtype: object" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['customer_review'].sample(10)" ] }, { "cell_type": "markdown", "id": "c99efa2a-4d5f-4fe3-9248-de9aae33158c", "metadata": {}, "source": [ "# Cleaning Reviews\n", "- Steps to be followed:\n", " - convert all text to `lowercase`.\n", " - remove all `whitespaces` at the beginning and end of text.\n", " - remove all `html tags`, `unicode characters`, `emojis`.\n", " - remove all `twitter usernames` if they exist.\n", " - remove all `punctuations` and `numbers` except `'` and `-`, since we shall expand acronyms and contractions.\n", " - replace `-` with whitespaces.\n", " - expand `acronymns` and `contractions`.\n", " - remove all `punctuations` again.\n", " - `lemmatize` using spacy lemmatizer.\n", " - remove `stopwords`.\n", " - keep only `alphabets` and `whitespace`.\n", " - remove words with one alphabet occuring more than 3 times continuously.\n", " - remove words with less than 3 characters.\n", "- Further cleaning steps shall be applied if needed." ] }, { "cell_type": "markdown", "id": "d833d55c-0701-4250-94f4-bb457f3d33a0", "metadata": {}, "source": [ "## Defining a function to preprocess text by following above steps" ] }, { "cell_type": "code", "execution_count": 87, "id": "8476b755-6b54-4203-8478-3fd2202ebf1e", "metadata": {}, "outputs": [], "source": [ "# Defining acronyms and contractions\n", "acronyms_dict = pd.read_json(\"stopwords/acronym.json\", typ=\"series\")\n", "contractions_dict = pd.read_json(\"stopwords/contractions.json\", typ=\"series\")" ] }, { "cell_type": "code", "execution_count": 88, "id": "bd3a5f47", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['turkish',\n", " 'qatar',\n", " 'emirates',\n", " 'lufthansa',\n", " 'klm',\n", " 'other',\n", " 'american',\n", " 'delta',\n", " 'southwest',\n", " 'united',\n", " 'jetblue',\n", " 'aegean',\n", " 'aeroflot',\n", " 'aeromexico',\n", " 'air',\n", " 'air',\n", " 'alitalia',\n", " 'asiana',\n", " 'avianca',\n", " 'austrian',\n", " 'british',\n", " 'brussels',\n", " 'china',\n", " 'china',\n", " 'ethiopian',\n", " 'egyptair',\n", " 'finnair',\n", " 'iberia',\n", " 'ana',\n", " 'easyjet',\n", " 'korean',\n", " 'latam',\n", " 'lot',\n", " 'qantas',\n", " 'air',\n", " 'etihad',\n", " 'royal',\n", " 'ryanair',\n", " 'south',\n", " 'saudi',\n", " 'tap',\n", " 'eva',\n", " 'singapore',\n", " 'sas',\n", " 'swiss',\n", " 'thai',\n", " 'air',\n", " 'air',\n", " 'air',\n", " 'air',\n", " 'cathay',\n", " 'wizz',\n", " 'spirit',\n", " 'vueling',\n", " 'sunwing',\n", " 'flydubai',\n", " 'garuda',\n", " 'frontier',\n", " 'icelandair',\n", " 'aer',\n", " 'alaska',\n", " 'norwegian',\n", " 'gulf',\n", " 'kuwait',\n", " 'wow',\n", " 'ukraine']" ] }, "execution_count": 88, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# getting unique airline names\n", "[airline.split()[0].lower() for airline in df['airline'].unique()]" ] }, { "cell_type": "code", "execution_count": 89, "id": "f1ba5d91-2b49-4e8d-bb02-0a72f4c39e68", "metadata": {}, "outputs": [], "source": [ "# Defining stopwords\n", "alphabets = [\"a\", \"b\", \"c\", \"d\", \"e\", \"f\", \"g\", \"h\", \"i\", \"j\", \"k\", \"l\", \"m\", \"n\", \"o\", \"p\", \"q\", \"r\", \"s\", \"t\", \"u\", \"v\", \"w\", \"x\", \"y\", \"z\"]\n", "others = [\"ã\", \"å\", \"ì\", \"û\", \"ûªm\", \"ûó\", \"ûò\", \"ìñ\", \"ûªre\", \"ûªve\", \"ûª\", \"ûªs\", \"ûówe\", \"ï\", \"ûï\", \"’\"]\n", "common_words = [\"flight\", \"fly\", \"airline\", \"via\", \"tell\"]\n", "airline_names = [airline.split()[0].lower() for airline in df['airline'].unique()]\n", "stops = alphabets + others + common_words + airline_names\n", "stops = list(set(stops))" ] }, { "cell_type": "code", "execution_count": 90, "id": "dbb2acca-7d10-4d60-a04e-9a3a9462ff04", "metadata": {}, "outputs": [], "source": [ "regexp = RegexpTokenizer(\"[\\w']+\")\n", "nlp = spacy.load('en_core_web_sm')\n", "\n", "def preprocess(text):\n", " \n", " # lowercase\n", " text = text.lower()\n", " \n", " # remove whitespaces\n", " text = text.strip()\n", " \n", " # removing html tags\n", " html = re.compile(r'<.*?>')\n", " text = html.sub(r'', text)\n", " \n", " # removing emoji patterns\n", " emoji_pattern = re.compile(\"[\"\n", " u\"\\U0001F600-\\U0001F64F\" # emoticons\n", " u\"\\U0001F300-\\U0001F5FF\" # symbols & pictographs\n", " u\"\\U0001F680-\\U0001F6FF\" # transport & map symbols\n", " u\"\\U0001F1E0-\\U0001F1FF\" # flags (iOS)\n", " u\"\\U00002702-\\U000027B0\"\n", " u\"\\U000024C2-\\U0001F251\"\n", " \"]+\", flags = re.UNICODE)\n", " text = emoji_pattern.sub(r'', text) \n", " \n", " # removing urls\n", " http = \"https?://\\S+|www\\.\\S+\"\n", " pattern = r\"({})\".format(http)\n", " text = re.sub(pattern, \"\", text)\n", " \n", " # removing twitter usernames if they exist\n", " pattern = r'@[\\w_]+'\n", " text = re.sub(pattern, \"\", text)\n", " \n", " # Removing punctuations and numbers except ' and -\n", " punct_str = string.punctuation + string.digits\n", " punct_str = punct_str.replace(\"'\", \"\")\n", " punct_str = punct_str.replace(\"-\", \"\")\n", " text = text.translate(str.maketrans('', '', punct_str))\n", " \n", " # Replacing \"-\" in text with empty space\n", " text = text.replace(\"-\", \" \")\n", " \n", " # Substituting acronyms\n", " words = []\n", " for word in regexp.tokenize(text):\n", " if word in acronyms_dict.index:\n", " words = words + acronyms_dict[word].split()\n", " else:\n", " words = words + word.split()\n", " text = ' '.join(words) # acronyms\n", " \n", " # Substituting Contractions\n", " words = []\n", " for word in regexp.tokenize(text):\n", " if word in contractions_dict.index:\n", " words = words + contractions_dict[word].split()\n", " else:\n", " words = words + word.split()\n", " text = \" \".join(words)\n", " \n", " # Removing punctuations again\n", " punct_str = string.punctuation\n", " text = text.translate(str.maketrans('', '', punct_str))\n", " \n", " # Lemmatization using spacy\n", " text = \" \".join([token.lemma_ for token in nlp(text)])\n", " \n", " # Stopwords removal\n", " text = ' '.join([word for word in regexp.tokenize(text) if word not in stops]) \n", " \n", " # Removing words with one alphabet occuring more than 3 times continuously\n", " pattern = r'\\b\\w*?(.)\\1{2,}\\w*\\b'\n", " text = re.sub(pattern, \"\", text).strip()\n", " \n", " # Removing words with less than 3 characters\n", " pattern = r'\\b\\w{1,2}\\b'\n", " text = re.sub(pattern, \"\", text).strip()\n", " \n", " # Removing all characters except alphabets and \" \" (space)\n", " filter_text = string.ascii_letters + \" \"\n", " text = \"\".join([chr for chr in text if chr in filter_text])\n", " \n", " # Replacing multiple spaces with one single space\n", " pattern = r'\\s+'\n", " text = re.sub(pattern, \" \", text).strip()\n", " \n", " # Removing certain POS tags from the text\n", " remove_tags = ['PROPN', 'DET', 'CCONJ', 'PRON', 'AUX']\n", " text = \" \".join([token.text for token in nlp(text) if token.pos_ not in remove_tags])\n", " \n", " # return final output\n", " return text" ] }, { "cell_type": "code", "execution_count": 91, "id": "125eedc2-ab94-42c6-990a-4b26d88ce50c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Guangzhou to Auckland. Very nice welcome at check in, boarding pass issued and a brief wait and then the flight boarded early. Got to Auckland slightly ahead of schedule. Staff give extremely good service during the flight. Food is about average, seats are comfortable. IFE has great selections in different language. No frills, no fuss, great service. Highly recommended airline for international travel.\n", "---------------------------------------------------------------------------------------------------\n", "very nice welcome check boarding pass issue brief wait then board early get auckland slightly ahead schedule staff give extremely good service during food about average seat comfortable ife have great selection different language frill fuss great service highly recommend for international travel\n" ] } ], "source": [ "text = df.loc[11248, 'customer_review']\n", "print(text)\n", "print(\"---------------------------------------------------------------------------------------------------\")\n", "print(preprocess(text))" ] }, { "cell_type": "code", "execution_count": 92, "id": "531eb503-7e14-4083-bfc6-9981bdf034cb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Lisbon to Toronto. Not much leg space, had to purchase better seats for extra $100 per seat per leg of travel. For in-flight entertainment you need to download an app prior to boarding. We did but it still didn’t work. No charging plugs if the seat is in the 1st row of economy cabin. Flight attendants friendly. Ordered special low sodium meals and got a wrap loaded with salt. Poor experience compared to regular Air Canada.\n", "---------------------------------------------------------------------------------------------------\n", "not much leg space purchase well seat for extra per seat per leg travel for entertainment need download app prior boarding still didn work charge plug seat row economy cabin attendant friendly order special low sodium meal get wrap load with salt poor experience compare regular\n" ] } ], "source": [ "text = df.loc[18248, 'customer_review']\n", "print(text)\n", "print(\"---------------------------------------------------------------------------------------------------\")\n", "print(preprocess(text))" ] }, { "cell_type": "code", "execution_count": 93, "id": "0376caf1-ae68-431b-abcd-726e55d6e108", "metadata": {}, "outputs": [], "source": [ "df[\"review_clean\"] = df[\"customer_review\"].apply(lambda x : preprocess(x))" ] }, { "cell_type": "code", "execution_count": 94, "id": "125ab771-5f6a-46a7-89ec-327d87a88ad9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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customer_reviewreview_cleanrecommended
5602I fly quite a bit so I think I have a balanced...quite bit think balanced view fair service ret...no
19382London to Manila via Hong Kong return with Cat...return with particular aircraft quite new ther...yes
16808Moscow to Sydney via Singapore with Singapore ...with airlines airplane have technical issue le...no
15597Flew Royal Jordanian Airlines from Amman to Pa...from efficient polite while disorganize airpla...yes
938Hyderabad to Doha. I want to thank Qatar Airwa...want thank airway for quality crew give treat ...yes
12487Flew Ethiopian Airlines from Mumbai - Cape Tow...from mumbai cape town check mumbai smooth drea...yes
2118Dubai to Karachi. It was a very bad experience...very bad experience emirate when need change d...no
10634These British Airways flights were undoubtedly...airways undoubtedly bad ever have ten year tra...no
5425I am so disappointed with my treatment this ev...disappointed with treatment evening partner bo...no
18353Barcelona to Toronto. I had never flown Air Ca...never before very long without screen sure ren...no
\n", "
" ], "text/plain": [ " customer_review \\\n", "5602 I fly quite a bit so I think I have a balanced... \n", "19382 London to Manila via Hong Kong return with Cat... \n", "16808 Moscow to Sydney via Singapore with Singapore ... \n", "15597 Flew Royal Jordanian Airlines from Amman to Pa... \n", "938 Hyderabad to Doha. I want to thank Qatar Airwa... \n", "12487 Flew Ethiopian Airlines from Mumbai - Cape Tow... \n", "2118 Dubai to Karachi. It was a very bad experience... \n", "10634 These British Airways flights were undoubtedly... \n", "5425 I am so disappointed with my treatment this ev... \n", "18353 Barcelona to Toronto. I had never flown Air Ca... \n", "\n", " review_clean recommended \n", "5602 quite bit think balanced view fair service ret... no \n", "19382 return with particular aircraft quite new ther... yes \n", "16808 with airlines airplane have technical issue le... no \n", "15597 from efficient polite while disorganize airpla... yes \n", "938 want thank airway for quality crew give treat ... yes \n", "12487 from mumbai cape town check mumbai smooth drea... yes \n", "2118 very bad experience emirate when need change d... no \n", "10634 airways undoubtedly bad ever have ten year tra... no \n", "5425 disappointed with treatment evening partner bo... no \n", "18353 never before very long without screen sure ren... no " ] }, "execution_count": 94, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[['customer_review', 'review_clean', 'recommended']].sample(10)" ] }, { "cell_type": "code", "execution_count": 95, "id": "1f2131d6-fdf0-4981-91b2-4d89e0e7a35f", "metadata": { "tags": [] }, "outputs": [], "source": [ "cols = ['review_date', 'author', 'airline', 'traveller_type', 'cabin', 'type_of_flight', 'frequency', 'seat_comfort',\n", " 'cabin_service', 'food_bev', 'entertainment', 'ground_service',\n", " 'value_for_money', 'overall', 'customer_review', 'review_clean', 'recommended']\n", "\n", "# Preparing final dataframe\n", "df = df.loc[:, cols]" ] }, { "cell_type": "code", "execution_count": 96, "id": "f5bcc48e-f1ef-4f91-828c-5da7fc30c2b7", "metadata": { "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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review_dateauthorairlinetraveller_typecabintype_of_flightfrequencyseat_comfortcabin_servicefood_beventertainmentground_servicevalue_for_moneyoverallcustomer_reviewreview_cleanrecommended
08th May 2019Christopher HackleyTurkish AirlinesBusinessEconomy ClassIndirectRarely4.05.04.04.02.04.07.0London to Izmir via Istanbul. First time I’d...first time find very good cabin crew plane foo...yes
17th May 2019Adriana PisoiTurkish AirlinesFamily LeisureEconomy ClassDirectRarely4.01.01.01.01.01.02.0Istanbul to Bucharest. We make our check in in...make check airport take luggage gate gate surp...no
\n", "
" ], "text/plain": [ " review_date author airline traveller_type \\\n", "0 8th May 2019 Christopher Hackley Turkish Airlines Business \n", "1 7th May 2019 Adriana Pisoi Turkish Airlines Family Leisure \n", "\n", " cabin type_of_flight frequency seat_comfort cabin_service \\\n", "0 Economy Class Indirect Rarely 4.0 5.0 \n", "1 Economy Class Direct Rarely 4.0 1.0 \n", "\n", " food_bev entertainment ground_service value_for_money overall \\\n", "0 4.0 4.0 2.0 4.0 7.0 \n", "1 1.0 1.0 1.0 1.0 2.0 \n", "\n", " customer_review \\\n", "0 London to Izmir via Istanbul. First time I’d... \n", "1 Istanbul to Bucharest. We make our check in in... \n", "\n", " review_clean recommended \n", "0 first time find very good cabin crew plane foo... yes \n", "1 make check airport take luggage gate gate surp... no " ] }, "execution_count": 96, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(2)" ] }, { "cell_type": "markdown", "id": "8546da0c", "metadata": {}, "source": [ "# Saving the dataframe in a sql database" ] }, { "cell_type": "code", "execution_count": 97, "id": "2bd462a7", "metadata": { "tags": [] }, "outputs": [], "source": [ "# Creating a connection to the database\n", "connection = sqlite3.connect('data.db')\n", "\n", "# Creating a table to save cleaned data\n", "df.to_sql(name='airline_reviews', con=connection, if_exists='replace', index=False)\n", "\n", "# Closing the connection to the database\n", "connection.close()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.10" } }, "nbformat": 4, "nbformat_minor": 5 }