indian startups.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ***** Exploratory Analysis of Indian Startups Funding *****"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='https://drive.google.com/uc?id=1jWwsVdwxE0JIDRvXsjTvNDT4VE-2r-Cc' widht=500 >"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introduction= This notebook is analysis some important questions which are related to startups India:-\n",
    "* Q1). Number of unique Startups.\n",
    "* Q2). Top 10 Startups which are attrative means they have maximum number of Investors.\n",
    "* Q3). Top 10 Startups with maximum funding.\n",
    "* Q4). Top 10 Startups with minimum funding.\n",
    "* Q5). Number of Unique Investors.\n",
    "* Q6). Top 10 Investors in Indian ecosystem according to the total amount they invested in startups.\n",
    "* Q7). Top 10 industries which are favourite of Investors.\n",
    "* Q8). Top 10 Sub-industries in Technology industry according to number of times Investors invested in Startups.\n",
    "* Q9). Top 10 Industry where funding is maximum.\n",
    "* Q10). Top 10 cities which have maximum startups.\n",
    "* Q11). Top 10 cities which got maximum funding and their funding distribution.\n",
    "* Q12). Funding distribution in Indian Startups over Years.\n",
    "* Q13). Number of startups over months and over years.\n",
    "* Q14). Different type of funding (Investment type)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing useful Libraries\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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing dataset\n",
    "\n",
    "try:\n",
    "    df_startup = pd.read_csv('input/startup_funding.csv')\n",
    "    \n",
    "except Exception as e:\n",
    "    df_startup = pd.read_csv('../input/startup_funding.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SNo</th>\n",
       "      <th>Date</th>\n",
       "      <th>StartupName</th>\n",
       "      <th>IndustryVertical</th>\n",
       "      <th>SubVertical</th>\n",
       "      <th>CityLocation</th>\n",
       "      <th>InvestorsName</th>\n",
       "      <th>InvestmentType</th>\n",
       "      <th>AmountInUSD</th>\n",
       "      <th>Remarks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>01/08/2017</td>\n",
       "      <td>TouchKin</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Predictive Care Platform</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kae Capital</td>\n",
       "      <td>Private Equity</td>\n",
       "      <td>1,300,000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>02/08/2017</td>\n",
       "      <td>Ethinos</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Digital Marketing Agency</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Triton Investment Advisors</td>\n",
       "      <td>Private Equity</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>02/08/2017</td>\n",
       "      <td>Leverage Edu</td>\n",
       "      <td>Consumer Internet</td>\n",
       "      <td>Online platform for Higher Education Services</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>Kashyap Deorah, Anand Sankeshwar, Deepak Jain,...</td>\n",
       "      <td>Seed Funding</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>02/08/2017</td>\n",
       "      <td>Zepo</td>\n",
       "      <td>Consumer Internet</td>\n",
       "      <td>DIY Ecommerce platform</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Kunal Shah, LetsVenture, Anupam Mittal, Hetal ...</td>\n",
       "      <td>Seed Funding</td>\n",
       "      <td>500,000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>02/08/2017</td>\n",
       "      <td>Click2Clinic</td>\n",
       "      <td>Consumer Internet</td>\n",
       "      <td>healthcare service aggregator</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Narottam Thudi, Shireesh Palle</td>\n",
       "      <td>Seed Funding</td>\n",
       "      <td>850,000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SNo        Date   StartupName   IndustryVertical  \\\n",
       "0    0  01/08/2017      TouchKin         Technology   \n",
       "1    1  02/08/2017       Ethinos         Technology   \n",
       "2    2  02/08/2017  Leverage Edu  Consumer Internet   \n",
       "3    3  02/08/2017          Zepo  Consumer Internet   \n",
       "4    4  02/08/2017  Click2Clinic  Consumer Internet   \n",
       "\n",
       "                                     SubVertical CityLocation  \\\n",
       "0                       Predictive Care Platform    Bangalore   \n",
       "1                       Digital Marketing Agency       Mumbai   \n",
       "2  Online platform for Higher Education Services    New Delhi   \n",
       "3                         DIY Ecommerce platform       Mumbai   \n",
       "4                  healthcare service aggregator    Hyderabad   \n",
       "\n",
       "                                       InvestorsName  InvestmentType  \\\n",
       "0                                        Kae Capital  Private Equity   \n",
       "1                         Triton Investment Advisors  Private Equity   \n",
       "2  Kashyap Deorah, Anand Sankeshwar, Deepak Jain,...    Seed Funding   \n",
       "3  Kunal Shah, LetsVenture, Anupam Mittal, Hetal ...    Seed Funding   \n",
       "4                     Narottam Thudi, Shireesh Palle    Seed Funding   \n",
       "\n",
       "  AmountInUSD Remarks  \n",
       "0   1,300,000     NaN  \n",
       "1         NaN     NaN  \n",
       "2         NaN     NaN  \n",
       "3     500,000     NaN  \n",
       "4     850,000     NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Let's check top 5 entries.\n",
    "\n",
    "df_startup.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 2372 entries, 0 to 2371\n",
      "Data columns (total 10 columns):\n",
      "SNo                 2372 non-null int64\n",
      "Date                2372 non-null object\n",
      "StartupName         2372 non-null object\n",
      "IndustryVertical    2201 non-null object\n",
      "SubVertical         1436 non-null object\n",
      "CityLocation        2193 non-null object\n",
      "InvestorsName       2364 non-null object\n",
      "InvestmentType      2371 non-null object\n",
      "AmountInUSD         1525 non-null object\n",
      "Remarks             419 non-null object\n",
      "dtypes: int64(1), object(9)\n",
      "memory usage: 185.4+ KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# Basic information.\n",
    "\n",
    "print(df_startup.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Remarks             82.335582\n",
      "SubVertical         39.460371\n",
      "AmountInUSD         35.708263\n",
      "CityLocation         7.546374\n",
      "IndustryVertical     7.209106\n",
      "InvestorsName        0.337268\n",
      "InvestmentType       0.042159\n",
      "StartupName          0.000000\n",
      "Date                 0.000000\n",
      "SNo                  0.000000\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Dealing with missing data.\n",
    "\n",
    "missing_data = df_startup.isnull().sum().sort_values(ascending=False)\n",
    "missing_data = (missing_data/len(df_startup))*100\n",
    "print(missing_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 82% of Remarks are full of NaN, hence we can remove this column. It will not effect our results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Removing unwanted column.\n",
    "\n",
    "try:\n",
    "    df_startup.drop('Remarks', axis=1, inplace=True)\n",
    "except Exception:\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Type of AmountInUSD column is\t <class 'str'>\n",
      "We have to convert it into integer type.\n",
      "The type of AmountInUSD column after conversion is\t <class 'numpy.float64'>\n"
     ]
    }
   ],
   "source": [
    "# Converting AmountInUSD column into integer type as it in string type.\n",
    "print(f\"The Type of AmountInUSD column is\\t {type(df_startup['AmountInUSD'][0])}\")\n",
    "print(\"We have to convert it into integer type.\")\n",
    "\n",
    "df_startup['AmountInUSD'] = df_startup['AmountInUSD'].apply(lambda x: float(str(x).replace(\",\",\"\")))\n",
    "df_startup['AmountInUSD'] = pd.to_numeric(df_startup['AmountInUSD'])\n",
    "\n",
    "print(f\"The type of AmountInUSD column after conversion is\\t {type(df_startup['AmountInUSD'][0])}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SNo</th>\n",
       "      <th>Date</th>\n",
       "      <th>StartupName</th>\n",
       "      <th>IndustryVertical</th>\n",
       "      <th>SubVertical</th>\n",
       "      <th>CityLocation</th>\n",
       "      <th>InvestorsName</th>\n",
       "      <th>InvestmentType</th>\n",
       "      <th>AmountInUSD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>01/08/2017</td>\n",
       "      <td>TouchKin</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Predictive Care Platform</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>Kae Capital</td>\n",
       "      <td>Private Equity</td>\n",
       "      <td>1300000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>02/08/2017</td>\n",
       "      <td>Ethinos</td>\n",
       "      <td>Technology</td>\n",
       "      <td>Digital Marketing Agency</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Triton Investment Advisors</td>\n",
       "      <td>Private Equity</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>02/08/2017</td>\n",
       "      <td>Leverage Edu</td>\n",
       "      <td>Consumer Internet</td>\n",
       "      <td>Online platform for Higher Education Services</td>\n",
       "      <td>New Delhi</td>\n",
       "      <td>Kashyap Deorah, Anand Sankeshwar, Deepak Jain,...</td>\n",
       "      <td>Seed Funding</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>02/08/2017</td>\n",
       "      <td>Zepo</td>\n",
       "      <td>Consumer Internet</td>\n",
       "      <td>DIY Ecommerce platform</td>\n",
       "      <td>Mumbai</td>\n",
       "      <td>Kunal Shah, LetsVenture, Anupam Mittal, Hetal ...</td>\n",
       "      <td>Seed Funding</td>\n",
       "      <td>500000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>02/08/2017</td>\n",
       "      <td>Click2Clinic</td>\n",
       "      <td>Consumer Internet</td>\n",
       "      <td>healthcare service aggregator</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>Narottam Thudi, Shireesh Palle</td>\n",
       "      <td>Seed Funding</td>\n",
       "      <td>850000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SNo        Date   StartupName   IndustryVertical  \\\n",
       "0    0  01/08/2017      TouchKin         Technology   \n",
       "1    1  02/08/2017       Ethinos         Technology   \n",
       "2    2  02/08/2017  Leverage Edu  Consumer Internet   \n",
       "3    3  02/08/2017          Zepo  Consumer Internet   \n",
       "4    4  02/08/2017  Click2Clinic  Consumer Internet   \n",
       "\n",
       "                                     SubVertical CityLocation  \\\n",
       "0                       Predictive Care Platform    Bangalore   \n",
       "1                       Digital Marketing Agency       Mumbai   \n",
       "2  Online platform for Higher Education Services    New Delhi   \n",
       "3                         DIY Ecommerce platform       Mumbai   \n",
       "4                  healthcare service aggregator    Hyderabad   \n",
       "\n",
       "                                       InvestorsName  InvestmentType  \\\n",
       "0                                        Kae Capital  Private Equity   \n",
       "1                         Triton Investment Advisors  Private Equity   \n",
       "2  Kashyap Deorah, Anand Sankeshwar, Deepak Jain,...    Seed Funding   \n",
       "3  Kunal Shah, LetsVenture, Anupam Mittal, Hetal ...    Seed Funding   \n",
       "4                     Narottam Thudi, Shireesh Palle    Seed Funding   \n",
       "\n",
       "   AmountInUSD  \n",
       "0    1300000.0  \n",
       "1          NaN  \n",
       "2          NaN  \n",
       "3     500000.0  \n",
       "4     850000.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checking dataset after cleaning it.\n",
    "\n",
    "df_startup.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ======================================================================================"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# STARTUPS ANALYSIS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q1). Number of unique Startups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The numebr of Unique Startups are\t 2001 \n"
     ]
    }
   ],
   "source": [
    "print(f\"The numebr of Unique Startups are\\t {df_startup['StartupName'].nunique()} \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q2). Top 10 Startups which are attrative means they have maximum number of Investors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "df_startup['StartupName'].value_counts()[:10].plot(kind='bar', figsize=(10,5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Swiggy. Ubercap, Jugnoo they are in high demand by Investor.\n",
    "* Maximum number of times startups got one time investment."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ==================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q3). Top 10 Startups with maximum funding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>StartupName</th>\n",
       "      <th>Flipkart</th>\n",
       "      <th>Paytm</th>\n",
       "      <th>Flipkart.com</th>\n",
       "      <th>Paytm</th>\n",
       "      <th>Ola</th>\n",
       "      <th>Snapdeal</th>\n",
       "      <th>Olacabs</th>\n",
       "      <th>Ola</th>\n",
       "      <th>Ola Cabs</th>\n",
       "      <th>Oyo Rooms</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AmountInUSD</th>\n",
       "      <td>1.400000e+09</td>\n",
       "      <td>1.400000e+09</td>\n",
       "      <td>700000000.0</td>\n",
       "      <td>680000000.0</td>\n",
       "      <td>500000000.0</td>\n",
       "      <td>500000000.0</td>\n",
       "      <td>400000000.0</td>\n",
       "      <td>330000000.0</td>\n",
       "      <td>260000000.0</td>\n",
       "      <td>250000000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "StartupName      Flipkart         Paytm  Flipkart.com        Paytm  \\\n",
       "AmountInUSD  1.400000e+09  1.400000e+09   700000000.0  680000000.0   \n",
       "\n",
       "StartupName          Ola     Snapdeal      Olacabs          Ola     Ola Cabs  \\\n",
       "AmountInUSD  500000000.0  500000000.0  400000000.0  330000000.0  260000000.0   \n",
       "\n",
       "StartupName    Oyo Rooms  \n",
       "AmountInUSD  250000000.0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp_df = df_startup.sort_values('AmountInUSD', ascending=False, )\n",
    "temp_df = temp_df[['StartupName', 'AmountInUSD']][:10].set_index('StartupName', drop=True, )\n",
    "temp_df.plot(kind='bar', figsize=(10,5))\n",
    "plt.show()\n",
    "\n",
    "temp_df.plot(kind='pie', subplots=True, figsize=(12,6), autopct='%.f%%')\n",
    "plt.show()\n",
    "\n",
    "temp_df.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ===================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q4). Top 10 Startups with minimum funding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>StartupName</th>\n",
       "      <th>Hostel Dunia</th>\n",
       "      <th>Play your sport</th>\n",
       "      <th>Yo Grad</th>\n",
       "      <th>CBS</th>\n",
       "      <th>Enabli</th>\n",
       "      <th>Faaya</th>\n",
       "      <th>Dealwithus</th>\n",
       "      <th>Chloroplast Foods</th>\n",
       "      <th>InstaBounce</th>\n",
       "      <th>CleverSharks</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AmountInUSD</th>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16600.0</td>\n",
       "      <td>16600.0</td>\n",
       "      <td>16600.0</td>\n",
       "      <td>16600.0</td>\n",
       "      <td>16600.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "StartupName  Hostel Dunia  Play your sport  Yo Grad      CBS   Enabli  \\\n",
       "AmountInUSD       16000.0          16000.0  16000.0  16000.0  16000.0   \n",
       "\n",
       "StartupName    Faaya  Dealwithus  Chloroplast Foods  InstaBounce  CleverSharks  \n",
       "AmountInUSD  16600.0     16600.0            16600.0      16600.0       16600.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df = df_startup[df_startup['AmountInUSD'].notnull()]\n",
    "new_df.sort_values('AmountInUSD', inplace=True)\n",
    "new_df = new_df[['StartupName', 'AmountInUSD']][:10].set_index('StartupName', drop=True)\n",
    "new_df.plot(kind='bar', figsize=(10,5))\n",
    "plt.show()\n",
    "new_df.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ==================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# INVESTORS AND INDUSTRIES ANALYSIS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q5). Number of Unique Investors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The number of unique investors in Indian ecosystem between 2015 to 2017 are\t 1885\n"
     ]
    }
   ],
   "source": [
    "print(f\"The number of unique investors in Indian ecosystem between 2015 to 2017 are\\t {df_startup['InvestorsName'].nunique()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='https://drive.google.com/uc?id=1xWtWww9hQoVBaGVFzAe7WhpFUrOJLjv9' width=500>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q6). Top 10 Investors in Indian ecosystem according to the total amount they invested in startups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>InvestorsName</th>\n",
       "      <th>AmountInUSD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1520</td>\n",
       "      <td>SoftBank Group</td>\n",
       "      <td>1.462000e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1012</td>\n",
       "      <td>Microsoft, eBay, Tencent Holdings</td>\n",
       "      <td>1.400000e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1553</td>\n",
       "      <td>Steadview Capital and existing investors</td>\n",
       "      <td>7.000000e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>104</td>\n",
       "      <td>Alibaba Group, Ant Financial</td>\n",
       "      <td>6.800000e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>238</td>\n",
       "      <td>Baillie Gifford, Falcon Edge Capital, Tiger Gl...</td>\n",
       "      <td>5.000000e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>106</td>\n",
       "      <td>Alibaba, Foxconn, Softbank</td>\n",
       "      <td>5.000000e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>391</td>\n",
       "      <td>DST Global, Steadview Capital, Tiger Global, A...</td>\n",
       "      <td>4.000000e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1521</td>\n",
       "      <td>SoftBank Group Corp</td>\n",
       "      <td>3.300000e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1388</td>\n",
       "      <td>SIMI Pacific Pte</td>\n",
       "      <td>2.600000e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1524</td>\n",
       "      <td>SoftBank Vision Fund, Lightspeed Venture Partn...</td>\n",
       "      <td>2.500000e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index                                      InvestorsName   AmountInUSD\n",
       "0   1520                                     SoftBank Group  1.462000e+09\n",
       "1   1012                  Microsoft, eBay, Tencent Holdings  1.400000e+09\n",
       "2   1553           Steadview Capital and existing investors  7.000000e+08\n",
       "3    104                       Alibaba Group, Ant Financial  6.800000e+08\n",
       "4    238  Baillie Gifford, Falcon Edge Capital, Tiger Gl...  5.000000e+08\n",
       "5    106                         Alibaba, Foxconn, Softbank  5.000000e+08\n",
       "6    391  DST Global, Steadview Capital, Tiger Global, A...  4.000000e+08\n",
       "7   1521                                SoftBank Group Corp  3.300000e+08\n",
       "8   1388                                   SIMI Pacific Pte  2.600000e+08\n",
       "9   1524  SoftBank Vision Fund, Lightspeed Venture Partn...  2.500000e+08"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "investor = df_startup.groupby('InvestorsName')['AmountInUSD'].sum().reset_index()\n",
    "investor.sort_values('AmountInUSD', inplace=True, ascending=False)\n",
    "investor.reset_index()[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ======================================================================================"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q7). Top 10 industries which are favourite of Investors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>IndustryVertical</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Consumer Internet</td>\n",
       "      <td>772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Technology</td>\n",
       "      <td>313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>eCommerce</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ECommerce</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Healthcare</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Logistics</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Education</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Food &amp; Beverage</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Finance</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Others</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               index  IndustryVertical\n",
       "0  Consumer Internet               772\n",
       "1         Technology               313\n",
       "2          eCommerce               171\n",
       "3          ECommerce                53\n",
       "4         Healthcare                30\n",
       "5          Logistics                24\n",
       "6          Education                20\n",
       "7    Food & Beverage                19\n",
       "8            Finance                 9\n",
       "9             Others                 6"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_startup['IndustryVertical'].value_counts()[:10].reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Consumer internet and Technology industries are in high demand by Investors.\n",
    "* Their future is good.\n",
    "* If one want to start a new startup then they should start in these industries.\n",
    "* It's good to see education industry in top 10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ===================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q8). Top 10 Sub-industries in Technology industry according to number of times Investors invested in Startups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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WOfqdWEXEqxHxWvX9VcAQSUv3OzIzMzOzhul3YiVpGUmqvt+w+pkv9/fnmpmZmTVNr7MCJZ0HbA4sLWkCcBgwBCAiTgV2BL4haQrwBrBzRMSARWxmZmbWoXpNrCJil14eP4nUjsHMzMxsnubO62ZmZmaZOLEyMzMzy8SJlZmZmVkmTqzMzMzMMnFiZWZmZpaJEyszMzOzTJxYmZmZmWXixMrMzMwsEydWZmZmZpk4sTIzMzPLxImVmZmZWSZOrMzMzMwycWJlZmZmlokTKzMzM7NMnFiZmZmZZeLEyszMzCwTJ1ZmZmZmmTixMjMzM8vEiZWZmZlZJk6szMzMzDJxYmVmZmaWiRMrMzMzs0ycWJmZmZll4sTKzMzMLBMnVmZmZmaZOLEyMzMzy8SJlZmZmVkmTqzMzMzMMnFiZWZmZpaJEyszMzOzTJxYmZmZmWXixMrMzMwsEydWZmZmZpk4sTIzMzPLpNfEStKZkl6U9NBMHpekEyQ9KekBSevlD9PMzMys8/VlxOo3wNazeHwbYNXqa1/glP6HZWZmZtY8vSZWEXEz8I9ZHLIDcHYkdwCLS1o2V4BmZmZmTZGjxmo54Lm27QnVPjMzM7N5yuAMP0M97IseD5T2Jd0uZMUVV8zwV5dn+CFXztW/79mjtpurf59fXz4lvzbw68vNry+vkl9fya8NBv715RixmgCs0La9PPB8TwdGxOkRMSoiRg0bNizDX21mZmbWOXIkVpcDe1SzAz8CTIqIFzL8XDMzM7NG6fVWoKTzgM2BpSVNAA4DhgBExKnAVcC2wJPA68DeAxWsmZmZWSfrNbGKiF16eTyAb2aLyMzMzKyh3HndzMzMLBMnVmZmZmaZOLEyMzMzy8SJlZmZmVkmTqzMzMzMMnFiZWZmZpaJEyszMzOzTJxYmZmZmWXixMrMzMwsEydWZmZmZpk4sTIzMzPLxImVmZmZWSZOrMzMzMwycWJlZmZmlokTKzMzM7NMnFiZmZmZZeLEyszMzCwTJ1ZmZmZmmTixMjMzM8vEiZWZmZlZJk6szMzMzDJxYmVmZmaWiRMrMzMzs0ycWJmZmZll4sTKzMzMLBMnVmZmZmaZOLEyMzMzy8SJlZmZmVkmTqzMzMzMMnFiZWZmZpaJEyszMzOzTJxYmZmZmWXixMrMzMwsEydWZmZmZpn0KbGStLWkxyU9KemQHh7fS9JESfdVX/vkD9XMzMyssw3u7QBJ8wG/BD4FTADulnR5RDzS7dDzI+JbAxCjmZmZWSP0ZcRqQ+DJiHg6It4Gfg/sMLBhmZmZmTVPXxKr5YDn2rYnVPu6+4KkByRdJGmFLNGZmZmZNUhfEiv1sC+6bf8RGB4RI4HrgbN6/EHSvpLGSRo3ceLE2YvUzMzMrMP1JbGaALSPQC0PPN9+QES8HBFvVZv/Dazf0w+KiNMjYlREjBo2bNicxGtmZmbWsfqSWN0NrCppJUnzAzsDl7cfIGnZts3PAI/mC9HMzMysGXqdFRgRUyR9C7gWmA84MyIeljQGGBcRlwMHSPoMMAX4B7DXAMZsZmZm1pF6TawAIuIq4Kpu+w5t+/4HwA/yhmZmZmbWLO68bmZmZpaJEyszMzOzTJxYmZmZmWXixMrMzMwsEydWZmZmZpk4sTIzMzPLxImVmZmZWSZOrMzMzMwycWJlZmZmlokTKzMzM7NMnFiZmZmZZeLEyszMzCwTJ1ZmZmZmmTixMjMzM8vEiZWZmZlZJk6szMzMzDJxYmVmZmaWiRMrMzMzs0ycWJmZmZll4sTKzMzMLBMnVmZmZmaZOLEyMzMzy8SJlZmZmVkmTqzMzMzMMnFiZWZmZpaJEyszMzOzTJxYmZmZmWXixMrMzMwsEydWZmZmZpk4sTIzMzPLxImVmZmZWSZOrMzMzMwycWJlZmZmlokTKzMzM7NM+pRYSdpa0uOSnpR0SA+PLyDp/OrxOyUNzx2omZmZWafrNbGSNB/wS2AbYA1gF0lrdDvsq8A/I+KDwHHAz3MHamZmZtbp+jJitSHwZEQ8HRFvA78Hduh2zA7AWdX3FwFbSFK+MM3MzMw6X18Sq+WA59q2J1T7ejwmIqYAk4ClcgRoZmZm1hSKiFkfIH0R2Coi9qm2vwxsGBH7tx3zcHXMhGr7qeqYl7v9rH2BfavN1YHHc72QPlgaeGku/n1zm19fs5X8+kp+beDX13R+fc01t1/bByJiWG8HDe7DD5oArNC2vTzw/EyOmSBpMLAY8I/uPygiTgdO78PfmZ2kcRExqo6/e27w62u2kl9fya8N/Pqazq+vuTr1tfXlVuDdwKqSVpI0P7AzcHm3Yy4H9qy+3xG4IXobCjMzMzMrTK8jVhExRdK3gGuB+YAzI+JhSWOAcRFxOXAGcI6kJ0kjVTsPZNBmZmZmnagvtwKJiKuAq7rtO7Tt+zeBL+YNLbtabkHORX59zVby6yv5tYFfX9P59TVXR762XovXzczMzKxvvKSNmZmZWSZOrMzMzMwy6VONlXWmapbmh4AAHq864xdB0kLAGxHxrqTVSK/z6oh4p+bQzJC0BKnFzLT30Ii4p76I+k/S5yPikrrjsP4r8fxsJ2lRur62Gdo71anYGqtqjcPtgOF0/QX8oq6YcpK0HXAq8BQgYCXg6xFxda2BZSJpPPAxYAngDmAc8HpE7FZrYBlImkxKhttNIr3G70bE03M/qnyqpsLXRMRkSf8OrAf8tJQ3dkk/AfYi/d9r/R4jIj5RW1AZSLonItarO46BJul9wM+A90fENtXatxtHxBk1h5ZFqecngKSvA2OAN+j62lauL6oZlZxYXQW8CTwIvNvaHxFH1BZURpIeA7aPiCer7VWAKyPiQ/VGlkfrTV7S/sCCEXG0pHsjYt26Y+svSUeQmuz+jpQU7wwsQ1qJ4BsRsXl90fWfpAciYqSkTYEjgWOAH0bERjWHloWkx4ERJY0QwzyVWF0N/Br4UUSsXTW1vjciRtQcWhalnp8Akp4gJcEd3Um+5FuBy0fEyLqDGEAvtpKqytPAi3UFMwAkaWNgN+Cr1b5SztetuyUZp0u6IyLGSPphbVHlM7X6czvglIi4TNLhNcaT20PA4pT1/w3gQ5Ie6GG/SKMCpbyfLh0RF0j6AUzr1Ti1tyc1SKnnJ6RRuNfrDqI3pXxQ9eRqSVtGxHV1BzJAHq5G5S4gDYl+Ebhb0ucBCqiVOBD4AfCHqiHtysDYmmPK5V1JOwEXVds7tj1WwhDy/0o6Dfgk8HNJC1DWRJkjgXslPQS81doZEZ+pL6QsngE+XXcQc8G/JC1F9X9N0kdIt+JLUer5Cekz4XZJd9L1tR1QX0gzKjmxugP4g6RBwDtMv+patN6wshkK/B3YrNqeCCxJemMMoOmJ1fva3wgi4mlJt9QZUEa7AccDJ5N+V3cAu0taEPhWnYFlshOwNXBMRLwiaVngezXHlNNZwM/pVmZQgLcj4m91BzEXfIe0DNsqkm4DhtH14qbpSj0/AU4DbqDDX1vJNVZPA58FHvS6hc3TU73HvFIDUoJq8sj76Dpx5H/qiygfSTdFxGa9H9kskk6KiBIS+15VdVWrky64Hy9ptnGp5yeApNsj4qN1x9GbkkesngAeKjWpqm6NHQ98hDTq8RfgoIh4ptbA+knSNsC2wHKSTmh7aFFgSj1R5SVpGPA1Zpyx+pW6YsqpmnBwGGlEtXVVGUApNTrjJR1JGvVovx3R9FmPz0j6avfZcdXvc76I+K+a4spK0jeBcyPi4Wp7CUm7RMTJNYeWS6nnJ8BYSfsCf6Tra3O7hblB0m+AlYGr6foLKKXdwh3AL4Hzql07A/s3feaVpLWBdUhTag9te2gyMDYi/llLYBlJuh24BRjP9EJvIuLi2oLKqFqMfaOIeLnuWAaCpJ5q/Ro/nb2qyVmv+2yyqkbu7lKK1yXdFxHrdNtXxIxjKPf8BJDU08BBx7VbKHnE6pnqa/7qqzSKiHPatn8rqfHD+BFxP3C/pD8A/4qIqTDt1tICtQaXz3si4vt1BzGAnqOsYuAuImJ03TEMkOhpin5EvCVJdQQ0QAZJUutuRvXeUsRnRFVTfEpEXFB3LAMhIlaqO4a+KDKxqv6jLBwRJRXMdjdW0iHA70m3Wb4EXClpSei8odE5cB1pVtlr1faC1b6Ov7/eB1dI2jYirqo7kAHyNHCjpCspcLQYpjXoXZM0iQSAiBhTX0R5SHpfRPy9+7664hkg1wIXSDqV9N65H3BNvSHlUa1U8S3SbPHiSHoPafLBihGxr6RVgdUj4oqaQ+ui5FuBf46ILeqOY6DMZEi0peOGRmfXTIbrZ9jXRFXn9YVISUdxM1YlHdbT/oKa854KvAcYDfyKNKPsroj46iyf2OEk7QEcAHwXaNXjrA8cDfwyIs6qK7acqlGdrwNbkP7vXQf8qjU63nSSfkzqTH4+8K/W/gIutpF0PqmEYo+IWKuaSf2XTvtcKDmxOhZYFbiQridX09sQzJSkIaXMbqmmQe/fKriUtD5wUkRsXG9k1leSFiEljK/1enCDtHWWb/25MHBJRGxZd2z9VU0eOQRYq9r1EHBUFLJU1rygKXVIc0LSuIgY1V4TJ+n+iFi77tjaFXkrsLIk8DLQXrBXQn+nLqrah9HArqQeVqUM2x8EXCjp+Wp7WdLtzsaS9KGIeExSjy0jCpm1g6S1gHNI/weR9BLpCvPhWgPL583qz9clvZ/0PtOI2o/eVAlU0UlUdfvoSGANut7KbXziAc2pQ5pDb1ejVK36uFVoKzfoFMUmVhGxd90xDCRJG5GSqc+RPsC+SUFNGCPibkkfYnqvmccKGI37DrAvcGwPjwVdLwKa7HTgOxExFkDS5sB/U0Z9HMAfJS0O/CfpllmQXl+jSTqRWXT+77Tu1v3wa1I7kONIF6V7k95jiiBpCPAN4OPVrhuB0wp4/wQ4nFQPt4Kkc4FNSL+/jlLyrcDlgRNJ//AB3AocGBETag2snyT9B6mz9f+QWi38ARhX2lVKVe8xg4g4e27HYrOnp6H5ThyunxNVfc5HIuL2ansBYGhENH4WpKQ9Z/V4QTVW4yNifUkPRrXwsqRbIuJjdceWg6RfAUNIHdgBvgxMjYh96osqn2o5oo+QkuE7ogMXZC52xIp0VfI70hp6ALtX+z5VW0R57As8DpwCXBERb0oqMTveoO37oaRC03uAxidWkr4IXBMRkyX9O7Ae8JOIuLfm0HJ5uiqgbbUD2Z3U+qTxqllXxwIbV9tv0YG3IuZEKYlTH7xZJchPVDPo/hd4b80x5bRBt4uYGyTdX1s0GbVNSruyh30do6SFUbsbFhG/jogp1ddvSGtCNd0ywH8AnwGelHQOsGC1REMxImL/tq+vAetSSK8Z4MdVUrUpsBXpyvLUmmPK6Suk/2uXkEZUh9GBw/X9cJ2kLxTW22lechBpVucBpFmPXwZmOVrXMFOr2iNg2iodjZ7xKGlo1Upo6apT/pLV13Dg/fVGN6OiPoy7eUnS7kzvTL4Lqci00aopwVcDV0saCmxPepP43ypz37XWAAfO66RZniVovcltR2rmd5mkw2uMJ6uqO34p9Tg9+Q6pXcYUSW9SWLuM0kXE3TDttu4BETG55pBy+x6pz+HTpHPzAzT/wubrpIT4/aR2C62LmldJK5B0lJJrrFYETiIN2QdwO6nGqsjV2yUtCnyulOF8SX9keiHtINIMngsi4pD6ospD0hWk2w+fJF0xv0Hqg9ToGiRJ/xURB3X73U0TEZ+pISyzLiSNIpWFLFLtmgR8JSLG1xdV/0n6YkRcKGkl4Hm6Tvwp4na1pP0j4sS64+hNcYmVpJ9HxPdbJ1nd8dickdS+OvsU4G9Nn3jQUnUP3hp4MCKekLQsMCIirqs5tH6RtH5EjO/2u5smIm6a2zENhJm0y5hEOkeLWCgcQNIFpJUdrgR+FxFfqDmkLCQ9AHwzIm6ptjcFTo6Gr4Uo6Z6IWK/1Z93xDISZ1Kf+tNNa1ZSYWD1I+se+s9STy5qtqn+YUK3BtjkwEjg7Il6pN7I8JB0YEcf3tq+plBZAXw94sNo1ArgfWArYr+kJcoukDYA9SGUUp0XEj2oOKQtJt0XEJr3taxpJfyKV96xDWuS9ixJGjNua8m5K6kV2DPDDiNh85HycAAAgAElEQVSo5tC6KLF4/RrgJWCkpFclTW7/s+7gcqmmefe6r2nafl89ftUdXyYXkwpMPwicQWou+bt6Q8qqp0LgveZ2EAPoWWDdiFg/ItYnfZA9RLq1e3SdgfWHpJ9I+kDbrqeBDUnvqY1/b2lzl6TTJG0uaTNJJ5PWtlxvZs17G2I74Aekz79je/gqwQz1qXTgpKbiRqxaJF0WETvUHcdA6Wm4t6QhYEljgP8jTdkXsBuwSEQ09oOrpW3I/mDgjYg4UW1LNDSVpF1ITWs3pesV8yKkPjqfrCWwzDSLdSx7eqwpWqMB1ffDgT8CR0TERZLujogNZvX8ppA0dhYPR0Q0ulGvpJ0i4oJu+4oojWlKfWrJswIf676jVX9VRzC5SFoGWI7UYmFdps+OWJQ0O7AUW3Ub3j1F0p00eESgzTtVErIHaRkiSA39mu524AVgabpeIU8GHqglooHxuKRTSPVHkJZa+ms1Ytzk7tbzVZN+ViSNpH4jIm6o2koU894SEaPrjmGAHQJc0G3fD0jr5jbdTqT61GMi4pWqPrXjVhwpObH6FNA9idqmh31NsxXptsrywC/a9k8GflhHQANkqqTdSB9eQarzaHQvljZ7A/sB/xERz1SzeH5bc0z9Vs24/RtV88yC7QX8G2n6t0irOvw/UlLV5A/tQ4AbgLdJtzY3kzSF1OD1L3UGlpOkA0mzAieTliJaDzik6bVxSgtobwssJ+mEtocWJU0AKsEY4NcR8QRARLxAupjrKMXdCpT0DdKb3irAk20PLQLcFhG71xJYZpK+EBEX1x3HQKluRRxPWpII0ofXQRHxbE0hZaW0kOiKEfF43bHkJmky09stzE8ajftXSX2eJM1Pms4ewOOFrMM2TTVKtT/pQu5e0kXAG/VGlYeq5ZUkbUVaY/XHpA/rRpdRSFqbVO83Bji07aHJwNiqv1yjSdqHdGE6mJQcn9eJy0mVmFgtBixBmjHQ3vNockT8o56o8lNaBPZQpi+0eRMwphNPMutK0qdJs1nmj4iVJK1D+t01ftZOTyR9FtgwIooYUa1mcp5FKmIXsAKwZ0TcXGNY1kdtM8uOB26MiD+UUOPYImlIaYl+d5JWJyVYuwC3Af8d1aLvnaC4WYERMSkino2IXapbE2+QrioXruoHSnEG6Upkp+rrVVIGXwRJy0v6g6QXJf1d0sVKC2uX4HDSbKtXACLiPtLMwCJFxKVAowuCuzkW2DIiNouIj5NGdY6rOSbru/GSriPdNrtW0iLAuzXHlNNwSRdJekTS062vuoPKRdJ8wIeqr5dIrU6+I+n3s3ziXFRsjVU1KvALUgv8F0lt/R8F1qwzroxW6daw7whJ99UWTX6lLqINMCUiJqnrUnPFDB1L+nzb5iBgFAW9PmBI+y3ciPirpBImH8wrvkq6ZfZ0RLwuaSmav+RLu18Dh5GS/dGk11bEupaSfkGa8HMD8LOIuKt66OeSOqasotjECvgp8BHg+ohYV9Jo0rBhKd6QtGlE3AogaRPS6FwphkVE+wjcbyQdVFs0eT0kaVfSLKxVSevq3V5zTDl9uu37KaRbZiW1Phkn6QxSKxBIrUAavRzKvCQi3gXuadt+mQLWkW2zYET8WZKquzaHS7qFlGw13UPAv0fE6z08tuHcDmZmSk6s3omIlyUNkjQoIsZK+nndQWX0DeCsqqZMwD8oa4X2IhfRruwP/Ah4izQqdy3pQqAIEVHS1X9PvkEqej6A9H/vZuDkWiPKSNIw4GvAcNo+IyLiK3XFZLPlTaUFpp+Q9C1S36f31hxTv1SNa1+JiDOr7dHAZ0mzkE+KiLc7qb64uOL1FknXk/7hjyT11XkR2CAiPlprYJkpLb5MRJTSlRyY9xbRLoGkE5nFLb+IOGAuhjMgqvqOs0qZXdwTSbeTGryOp63FScmzkEuitBTRo8DiwE+AxYCjI+KOWgPrh6qH4eci4vlqss/1pM/2kaRBlH1qDbCbkhOrhYA3md61ezHg3GrYt/GquoDDSF2ug9SOYEwJr6/68DogIoosCFZa0+uLrbUBJS0B/D4itqo3sv6RNMsR04g4a27FMpAkXQt8OiLerjuWgdDk7vF9MbNJTBHxP3M7FuubbqsCHAO8GxEHVyNz90WHLaBd7K3AiPhX22YRb+jd/J50C6JVwL4bcD6p1X+jRcRUSTtQ7kyrpdsXXI6If0pq9FA9zJg4VbOtIiJeqymkgfIscJuky4Fp7zMR8YuZPqNZrpC0bURcVXcgA+RK0sWogKGkGbmP0/CJTZL+yKxHjJvczqW9+P4TpE7yRMS73SYBdYTiEqtuzQkh/UJa/4mioCaFS0bET9q2f1r1CyrFbZJOIiWL7R9e98z8KY3xrqQVW1fIVf1AMUPHktYiFXYvmTY1EdgjIh6uN7Jsnq++BpEaD5fmQOCHkt5m+hI9xbx3RsSI9m2lhZe/XlM4OR1TdwAD6AZJF5C6rC9BmhVItaRNx40cF3srsHTVcOg4pq8JtSOwZkSUMPNjZgulNn6BVABJWwOnk5q6Qmryum9EXFtfVPlUNTo/ajXsqxpq/qzQ+saIiMl1x2L9o0IWsFdaP3YV4OGIeLTueHKpVgL4ErAscEFE/G+1f13gvZ323ll0YlVdiUyrQYqIe2sOqd/aRuQELMT04tL5gNdKuaosnaSlSe1AAO6IiJfqjCen1pIhve1rKkmjSL2CWqNVk4CvREQxLRckfYbpqzrcGBFX1BlPTpK+07Y5iLRW4FIF1DgeSur3Nx7YCDgyIv673qjmTcXdCmypTrIvApdUu34j6cKIaPS09ogo8dbDDEouzq98lOkfXADFfHABT0v6MdP7PO0OPFNjPLmdCfxbRNwCIGlTUqLVUQW0c0rSUcAGwLnVrgOrnnmHzOJpTdL+HjqFVHNVwozHLwHrtDU9vYa0yLTNZcWOWEl6FFg3It6sthcE7omID9cbWR6S/hwRW/S2r6mqmXM3A7+tdu0GbB4RjS/O7+GDaxdgXET8oL6o8qlmOR5BSopbfZ4OL2ERWABJt0XEJr3taypJD5A+oN+ttucD7u20mVfWlaTxEbH+zLZt7il2xIo0c2coqeUCwALAU7VFk4mkoaRbgEtXH2CtKRGLkpbvKUXJxfnb0vWD6yzgXqqZLk1XJVAHwLQk65Uo6wruLkmnkZrXBmmk4Maq9KCUCRaLk5oOQ2pV03iFz5oDWKWaqQrpc6F9u/Gvr0k95EpOrN4CHq5GPoK0xtytkk6ARjcr/DpwECmJGs/0xOpV4Jd1BTUAxkrama7F+VfWGE9uJX5wHUoqLH1M0gLA1cDawFRJu0bE9fVGmE2rx1P3iSIfJb3XNH2CxZHAvdUEEpFuWZeQ9LdmzX0eWIbpo+G7kC7Em677slFFzRKs2vAMkzR/p/eQK/lWYNHNCiXtHxEn1h3HQKmK9LsX57faLjR66rekXYCjgC4fXBHRMauzzwlJDwNrRURI2hfYFdgCWI10pdkxa3nZrFXT2DcgnZ93RsT/1RxSNpJujoiP97bPOk81Urwe0NE95IodsWp64tSbiDix6he0BumWZ2v/2fVFlU+pRfrVtOFbSTMCWx9c3y/kg+vttlt+WwHnRcRU4FFJxb7XlELSh6rRxlbbgQnVn++X9P5CbnECDJO0ckQ8DSBpJWBYzTFZ3zSih1yxI1alk3QYsDkpsboK2IbUUmLHOuOy3pVaVCrpDmAf4O+kTtbrR8Qz1WOPRcSH6ozPZk3S6RGxb8k95KBLH7mnq13Dga93Wi8kmzlJC3VbXaWj+CqyuXYk1a/cGxF7S3of8KuaY7K+uUPSBhFxd92BZHYgcBHp6v+4tqRqW1JxvnWwiNi3+nab1mzqlmrSTBEi4hpJqwKtRP+xiHirzpgGSrWW3sIR8WrdseQgaWPgDGBhYEVJa5OS4n+rN7Ku5okRq9JOLgBJd0XEhpLGA6OBycBDEdHo9a7mBZIeAVYnFcz+i+nLLXk6ewNI+nwPuycBD0bEi3M7ntx66kJeQmdySQdHxNHV91+MiAvbHvtZRPywvujykfQ7YD9Sfep40uSYX0TEf9YaWAaS7iQNKlweEetW+x6KiLXqjayrYkesejq5JBVxclXGSVqc1ABuPPAacFe9IeUjackedk+OiHd62N8029QdgPXLV4GNSZMPIN2SvwNYTdKYiDhnZk/sZJKWAZYDFqyWCmlv5fKe2gLLZ2fg6Or7HwAXtj22NVBEYgWsERGvStqNVCbyfdJnRBGffRHxnLouvDx1ZsfWpdjEivJPrtbQ56mSrgEWjYgH6owps3uAFYB/kt7gFwdekPQi8LUmLh9S3U7ZD/gg8CBwRkRMqTcqmwPvAh+OiL8DVLfhTyEtI3Iz0zvON81WwF7A8kD7LKvJlJF0aCbf97TdZEMkDQE+C5wUEe9IKuXW1HOSPgqEpPlJ/fI6bk3EkhOrkk8uACQtB3yA6vco6eMRcXO9UWVzDfCHVkGppC1JV5UXACeTPsSa5izgHeAW0qjVGqS6JGuW4a2kqvIisFpE/ENSY0dUq5nUZ0n6QkSUsMRLdzGT73vabrLTSGUG9wM3S/oAqc9hCfYDjieNrE4ArgO+WWtEPSi2xkrSAaRRqvuB7YAVgd9GxMdqDSwTST8ndXx+hOlDodH07rotksZFxKie9km6LyLWmdlzO5WkByNiRPX9YOCuptet9ETSe4DvAitGxNeqQuHVS1nIV9LJpPeT1q2kL5De5L8HXBERo+uKLRdJ2wFr0rWVy5j6Iuo/SVOZXtO4IPB66yFgaEQMqSu2gVS1eJnPo+NzT7GJVXelnVySHgdGFjyb5Trgz0CraeaXSN3ztwbubmJC0r0AuISC4J5IOp90232PiFhLaZ3OvzQxGe5J9V7yBWAT0ofyrcDFpSzbI+lUUk3VaNJM4x1JFwFfrTUw6xNJPwOOjohXqu0lgO9GxL/XG9mck3Qis16OqKNWUhlUdwADRdLPquLulsWBw2sKZyA8DRR5hVXZlVTrcSlwGWmEYFdSB/adaoyrP9aW9Gr1NRkY2fpeUilD9QCrVLOv3gGIiDcoqIYlkosi4tsRcVD1fRFJVeWjEbEH8M+IOIJUqL9CzTFZ323TSqpg2tqd29YYTw7jSBdrQ0md15+ovtbBxetz1Tbt02cj4p9VP53GZu3QJXN/HbhP0p9J6yICnZe5z6mIeAnYfyYPPzk3Y8klIuarO4a55O1qlCoAJK1C2znadFW7hZ8D7yUljK12GY1dZqmbN6o/X5f0fuBlYKUa47HZM5+kBVp3M6r/iwvUHFO/tFZSkbQXMLo1O7waXb2uxtB6VHJiVdzJVRlX/TmetF5SkSStBvw/UlfkaedpKd2fC3cYafLBCpLOJd0y26vWiPI6Gvh0RHTcbKRMrqhG+/+TNDs3cPPhJvkt8GdJvyb97r5CmjhTgveTlrJpLWC/cLWvoxRbYyXpYOAzQPvJdXmrQVxTSRoGDIuIR7rtXwv4e0RMrCeyvCTdD5xKSiCnDfU2sc3CvEjSUqT1EAXcUY1AFkHSbRGxSd1xDJRuF6QLkG6/vFlCPaek+YBrI+KTdccykCRtQ1oAXcB1pSzXI2lvUklPq4fcZsDh0WFrAxebWEGZJ5ek3wOnRMRN3fZvBewZEbvWE1lepa6nN6+QNJIZRxsvqS2gjCQdDyxDqv9rvw1fyusrsvN6i6TLgS9HxKS6Y7HZVzWybbXbuTM6cAH7km8FEhFXA1fXHUdmI7onVQARca2kY+sIaID8UdK/AX+g64fXP2b+FOsEks4ERgIPk5ppQho1LiLxIHUifx3Ysm1f41/fPNB5veVN4EFJfyK1XwCaX58q6daI2LSaGNM+YlJaDeB8wERS/rKapNU6rX9jcSNWpZ9ckv4aEavN5LHHI2L1uR3TQJD0TA+7IyJWnuvBZCbpI8CJwIeB+UlvFP9q+rnZIumRiFij7jhs9kjak1QLN4rptZyQOq//pqARuT172t9pt5NsRm39G7tctHVa/8biEqvSSboS+GVEXNVt/zbAARHhdeg6nKRxpHXLLiR9iO0BfDAiflRrYJlIOgM4tnsdYNOpWsR3Zj11mj7i0VJw5/VpquVQWheoj0cZa5ACIOmciPhyb/uaqCn9G4u9FVjwyfVt0qydnUiF3ZA+nDcGtq8tqkwkfSIibqimtM+glKvmiHhS0nwRMRX4taTb644po7OAv0j6P9Jt3NZo8ch6w+q31izAcbM8qqEk7R4RvwWGS/pO98cj4hc9PK1xJG1OOkefJZ2bK0jas9NuJ/XDmu0b1SoPpdSrtvo3OrGqSZEnV0T8VdIIUrPMtardNwFfj4g364ssm82AG4BP9/BY4+tYKq9XV8z3SToaeAFYqOaYcjoT+DJpoel3ezm2MSLij9Wfpd4yap2DC9caxcA7FtgyIh6Haa1dzqPhnw+SfkBaLHvBtobDAt4GTq8tsLwa0b+xuFuB7ScXXdeCehs4PSJ+UFdsZgDVoqh/J9VXfRtYjHR796laA8tE0g0l9xtzj7Vmk/RA99HTnvY1laQjS/2ca0p9XHGJVUvJJ9e8oKdbEcAkYHxE3De348lJ0oERcXxv+5qqWqR4ceCPlNmOoMgea5JOmNXjnTYqMKeqWasBnFPt2g0YHBF71xdVPpIuBs4AromIYkaMm6TkxMonV4NJ+h2pduyP1a7tgLuBDwEXNrnR60z6BN0bEevWFVNOVcfn7iIivjLXgxkApfZYaxsN2ARYAzi/2v4i6YLm27UEllnV9PSbwKakuxk3Ayd3ekF0X0n6JLA3qUHvhaQZnY/VG1X/SLogInaS9CA9TxzpqNHGkhOr4k6u7qplelZs1QqURNK1wBci4rVqe2HgIuBzpDf5xk3nl7QLqTZuU+CWtocWAaaW3g26FJIOB16k0B5rksaSapBa67ENITVYHl1vZP0j6c8RsYWkn0fE9+uOZ6BJWgzYBfgR8Bzw38BvmzgDUtKyEfFCVUYxg4j429yOaVaKLV6PiOuB69tOrj9JavTJ1U7Sp4FjSHU6K0laBxjTaf08+mFFUl1cyzvAByLiDUlNvbK8nVSovjSpgLZlMvBALRFlNK+0IwBaIzvfa9sXQON7rFUasR7bHFhW0mbAZ6oVLNT+YETcU09Y+VVLSu1OmkRyL3Au6YJuT2Dz+iKbMxHxQvXn3wAkLUoH5y8dG1gOpZ1c3RwObAjcCBAR90kaXl842f0OuEPSZdX2p4HzJC0ENLI/UvWm8DdSa4wSFd2OAEDSIGD3iLit7lgG0FHAvdXIFVTrsdUXTjaHAocAywPdW0cEUMTkA0mXkEomziEtFv5C9dD5VQ+9xpL0dWAM8AbTL9467qKm5FuB7SfXb9pOLiSNi4hRtQWXgaQ7I2Kj9tqckma2AEgaRar3EHBrRDT6TaFlHui8/sWIuLC3fU0l6S8RUWpyDDRjPbY5JenHEfGTuuMYKK1egHXHMRAkPQFsHB2+qHvJiVWxJxdM6279Z9IV2BeAA4AhEbFfrYFlJum9wNDWdkT8T43hZDEPdF4vfRHfI0i3bi+JAt9AJYk0U27liBgjaUVgmYi4q+bQbBZm1lS5pYRZuZKuAT4fEa/3enCNikus5oWTC0DSe0hFiVuSRnSuBX5SSJNQJH2GVIf0flKh8IrAYxGx5iyf2ACtEdP2EUZJt0fER+uOrT+qZZW2BXZi+owySIv4rhERG9YSWGZK65AuBEwhLehbxDqkLZJOITV2/UREfFjSEqTi9Q1qDs1mYSazcVuKmJWrtDj4r4E76eAGoSXWWPXUsbullM7dVBn7j6qvEv2ENKPz+ohYV9Jo0iSEEpTaef15Un3VZ5i+3BKk4vwipuoDRMQidccwwDaKiPUk3QsQEf+szlfrYKX04erFaaSVOTp6VYfiEqvSTy5Jf6SHGVctBc0KfCciXpY0SNKgiBirtLJ5Cb4MDAK+RUo4ViDdzm20iLgfuF/SuRExpe54BlI1irMqXW9Tl7LW3DuS5qN6n5E0jA7+EJtdklYBJkTEW9W6gSOBsyPilXojy0fSdqRl3drPzzH1RZTNlIjoqXl0RykusWpX6Ml1TN0BzCWvVL2rbgbOlfQi6dZL40XE36oPKyLiiLrjyaXVxI80o6zjm/jNKUn7AAeSZpfdRxpZ/QuFzCoDTiD16HqvpP8AdgT+vd6QsroYGCXpg6Qm0peTZiFvW2tUmUg6FXgPMBr4Fen3V0p93FhJ+zLjqg4d1UOuuBqrlpmdXBHx1VoDsz6p2iq8QRrZ2Y20nt5vO+0/0OyoioIPI41UifTapgAnFpDwN66J35yquj9vANwREetI+hBwRER8qebQsqle0xak8/TPEfFoL09pjNZECknfA96MiBMLW/nggYgY2fbnwqSJFlvWHVt/SXqmh90RER3VbqHkEauPtp1cR0g6lgLqq2bR2r9VQFvEqADw8Yi4mnQL4iwASfuR1mhrqoNI7SM2iIhnACStDJwi6dsRcVyt0fVTlVTNB5xReBf5NyPiTUlIWiAiHpO0et1B5VD16XogItYCilqpos071SoIezK9JndIjfHk9kb15+uS3g+8DKxUYzzZREQjXkfJiVWpJ9eB1Z/b1xrFwPuxpLdaLTMkHUwafWxyYrUH8Kn2HiwR8bSk3YHrgEYnVgARMVXS65IWi4hJdcczQCZIWhy4lLSiwz9JhfuNFxHvSrpf0ooltDaZib2B/YD/iIhnJK0E/LbmmHK6ojo//xO4h3QB/qt6Q8qjmg3/HdJSbvtKWhVYPSKuqDm0Lkq+FfhjUhPGLYBfUp1cEfHjWgPLqGrityHptd1dWBO/pYErSMuGbE1q9rpzk5cikvRQNRIwW481jaQLSHVHfwL+1drfaVOic1BaImUx0mLvb/d2fBNIuoF0q/Muuv7+SpkYM89QWnB6aCkXOZLOJ8043iMi1lJaL/cvEbFOzaF1UWxi1a60kwumFdAeSpp6KtKyE2Mi4sxaA8uoag56Pek/0lea3oxxVk0yC2uguWdP+yPirLkdy0CRtCmwakT8upqIsHDr9m7TVcniDCLiprkdy0CQtAlpiZ4PkO7atMooOqpOpz8kfRQYTttdqYg4u7aAMmnrAdi+4sj9EbF23bG1KzqxKvXkApD0OKmO7OVqeyng9ohodK1H1XwxqN7sSEu+TKm+b3QTRklTaRsBaH+IlPiXVOdRLEmHkTrmrx4Rq1WlBhdGxCY1h5ZFdWvshVaz4WpU4H0R8WytgWUi6TFSm5PxwNTW/tZ7adNJOgdYhTRjtfX6ooQRY0m3k+5C3VZNQFgFOK/Tmg8XW2M1s5MLKCKxAiaQGi+2TAaeqymWbEpuvhgR89Udw9xQ1T0cCaxB11YnpYwIfA5Yl1S/QkQ8L6mk8/ZCoH0VgKnVvlI6r0+qJsaUahRppYMSR00OA64BVpB0Lmky0F61RtSDYhMrCj25JLWao/0vcKeky0gJ4w6U06sESZ8Dbmjdvq2KMTePiEvrjcz64NekN8DjSBMO9iaNypXi7YiIVq+uqjVISQa314tFxNuFdV4fK+k/SbPE23sh3VNfSFk9BCxDWtGhKBHxJ0n3kGo4BRwYHbggc8mJVaknV+vK+Knqq+WyGmIZSIdFxB9aGxHxSnULxolV51swIv4sSVXvqsMl3UJKtkpwgaTTgMUlfQ34CoXMuqpMlPSZiLgcQNIOQMd9ePXDRtWfo9r2BeU0eF0aeETSXXRNHIuYfFDdsr0SQNLqko6MiK/VHFYXJSdWRZ5c3Tt1V7cgIiJeqymkgTKoh30ln68lebPqh/SEpG+RRlffW3NM2UTEMZI+BbwKrA4cGhF/qjmsnPYjrXZwUrU9gdQqpAgRMbruGAbY4XUHkJukkaRVR95Purg+ETiZlCQfW2NoPSq2eH0emNmyFnAOsGS16yXSFNSH64sqH0lnAq8wvVXG/sASEbFXnXFZ7yRtADwKLE5aTHsx4OiIuKPWwAaQpNtKKV5vqTp2KyIm93pwg0hajDR6+vFq102kGdXFzBpvV82C3DUivll3LHNK0p3AKaSlo7YGDiYtQ/Tj1iSLTlJsYtVdCSdXu2p2xI8iYmy1vTnws4j46Cyf2BBV3cqPgU+S7qVfB/w0InqaVdcIbTMee9TkGY/zOknPRcQKdceRg6SfkRLhV6rtJYDvRkQR6wVKuphUKtJq//FlYO2I+Hx9UeUlaR1gV2An4Bng4og4adbP6lyS7mvvVSXpOWB4REydxdNqU/StlZ5OrnojymqhVlIFEBE3llREWyVQh9QdR06tGY+SxgD/RxpxFGktxMbPKpN0+aweb/pt+F6UdIW6TUT8sLUREf+UtC3lLMS8SkR8oW37CEn31RZNJpJWA3YGdiGtNHI+afCkhFufQyWty/RJMK8BIyUJOm/iQXGJVeEnV7unq+7y51Tbu5OSxyJUTRcPBtak65T9EgpMt4qIjdq2T6mGuo+uK6BMNia1/DgPuJOyZgIiaWYjGgIWnJuxDLD5qjUQ34JpfawWqDmmnN6QtGlE3ArT7ma80ctzmuAx4Bbg0xHxJICkb9cbUjYvAL9o2/6/tu2Om3hQXGJF2SdXu68AR5CmDAu4mTStvRTnkpLi7UnFtHsCE2uNKJ+pknYDfk96U9iFtkaFDbYM8CnS69mVNHPnvFLq/pi+YG9POmqtsn76LfBnSb8mnZ9foZz+fwDfAM6qaq0E/IMO7IU0B75AGlQYK+ka0vtLERc3TRsYKa7Gqup/tDOpwV3r5PpVNGRVbEskjY+I9SU9EBEjq303RUSPkxKaRNJw4HhSc7sAbgMOKqWzNUxbRmoX0kKwYyLixJpDstkgaWva6hsj4tqaQ8pO0qIAEfFq3bHkVJWEfJb0/+8TpFqyP0TEdbUGNg8pLrFqKfXkmlfqWCTdEf+/vfuOl6uq+j/++SaUBExAFBWU/qOIECCAVKmiIIgNRERFUbGggD52kWmMcugAACAASURBVGrBrqggShFBLFEQBSlSI0UgoSRBQGosPII8IERKIMn398fek0wmc0u4k7vPOXe9X695Zc45d7jr6pQ9e6+9lr21pIuBE4AHgF/bXqdwaKEfeUC1J+l1tybwO+A02/8sGVd47pqy8UfSO2yf1VZkeSG2v9XtfJ1JWgnYF9ivIWkUtdDEpUBgfvLzz0j1WFpPrs+QdpfVWaPzWNp8MU/V/w+pZsl4Un+v2st5gCeR+q9tlGu07G37i4VDGxJJZwAbARcCx9ieUTik8BzljT/7A/uRcjfPKRtRT7Q293TbKNLIGQbbjwAn51sYJo2dsWoqSaNZkMcygeblsTSepKuATwInt3Von2F7o7KRDY2keSxoMt3+xiJq3kB7JOhj488nbK9RNLAek7Sd7WsGOheqJ+8CPABY2/axklYHXmK7Uu3culW3DhVme67ti2wfSOqXdDdwpaSPFg6tpyStLen3kh6W9JCk8yQ1pYnvcl3eCOYUiaSHbI+yPS7fxrfdxjVpUCVp31bTZUlHSDpH0sTScfXAHcCupI0/2+e8uCZsqujULd8vcgDr4UTSqs3++XgWqYh0pTR2KbDJuuSxnEAzpurbnU16wbwpH7+NtPy5VZ+PqI+HJa1DntWRtA/N62nZZF+wPUnS9sBrSa02TqL+z83G7ioDkLQNaVPTyh15VuOB0WWiCotpK9sTJd0M82usVa5BeMxY1UzOY7kWmEjKY9nS9nENTA6W7TNtz8m3s2hOHsQhpJyHDST9EzictAU81ENrFmdP4CTb5wGVe3NfXLbPtb0fsAFwJSmn8cWSTpL0mqLB9cYywPNIEwrj2m6PA/sUjKunJG0t6UZJ/5X0jKS5kpqy8/HZnA7T+lK6MjCvbEiLamyOlaStSdO7Lye9oEYDT9R9SWKk5LFIOp7UK7BV62k/UpHCH8D8pMxayztXRzWtF1vTSTqf1Fj61cDmpOKSN9jepGhgS0ATd5VJWsP2zNJxLCmSppBmHicBW5AaaP8/258vGlgP5Pp/+5EmFs4gDYi/YPtXRQPr0OSBVWOfXCOBpP6qyNt2bfOtJB0GnE7KD/gx6U3iM3UvBTJSSFqO1Ah2uu27JK0CbBz//9WDpCvoMvvdoIHjFNtbdNQAvLZBfWQ3IOUCCrjM9u2FQ1pEo3OsbN8taXRu1Hh6blwcaqDhBV0Psv1dSa8FXkSqmH869S8FMiLYflLSeaRlstXz6TtKxhQWyyfa7o8h5ZbVfvNImydz3tEtkr5Gyt9sRB9ZSe+1fSptrzdJx9uuVF/ZJg+sGvvkCrXXSgh+HXC67VtbzURD9eUduEcBD7Igv8Ok8ieh4mxP7Th1TS6B0hTvJOVPf4SUJ7ca0Fefy7rZR9LTtn8GIOlEKtjHsslLgWuQ3viWIT25VgB+YPueooGFES/3YHspsBawCSn/70rbmxcNLAyKpLtJu5P+r3QsvZYTgy+2/erSsSwpOW+sZRQpT+4E2+sXCqmnJB1m+7sDnauj3BD8d8BpwB7AI7YPLxvVopo8sGrskyvUm6RRwKbAvbb/I+kFwEttTyscWhiEnKOzm+0mLR/Nl9tmvdP2Y6VjWRJy/qZJM8dzSJXlj7V9ddHAekTSTbYndpy7uVWMuI46BsPjgN+SeqweCdXbzNTkgVXjnlwjkaQ9SLM5T0l6s+1G1OuS9HxgXVKOBwC2J5eLKAykrfbRK4D1SV0PZreuN6XXnKRfkYoP/5EFO5CxfWixoMKAJO0PvB3YHvhT26VxwNw6z0J2DIZb/7ZUbjNT43Ks2p5ca3U0LB5HatMQ6mUv4ChJN5He7Gs/sJL0PuAw4GXALaS/6zpSs/BQXa0ec3/Lt2VYUL+qSd9QL8i3RpHUb55RA760XUvKJX4h8M2287OAWs+G120zU+NmrHJu1VrAV0hNl1tmAdOaOn3fFJK2Ii2R/bvt3JGkgcghtn9RLLgekTQd2BL4s+1N8/bhY3JxxlBxkva1PWmgc3WWN/6slw/vtP1syXh6Iec29sW2Dxq2YMJzJmkjYEMWnu3/abmIFtW4gVWoN0m3khKDn87H3yK17fkAcK7t7QuG1xOSbrS9paRbSH/rbEm32N60dGxhYH2kGSxyrq4k7UQqvng/acllNeDAWKquh6YWxwaQdBSwE2lg9QdSAvvVtitVOb9xS4EtTX5yNdxStp+WtBTwE+BJYB/b83Jhxib4h6QVSQmYf5T0KPBA4ZjCAHK+3+uAl0o6oe3SeJpVB+mbwGts3wkgaT1Sn85G7FqVtAKpXMYO+dRVpOT1piTrf58uxbGLRtQ7+5B2Ut9s+z2SXgycUjimRTR2YEWzn1xNdrWky4CXkHJads2Dqh1JrUNqz3arsfTReYfZCsBFBUMKg/MAMAXYG2ivhTSLVNKlKZZuDaoAbP9V0tIlA+qx04AZwFvz8TtJBXqbUuupycWxn8qfB3MkjQceAiqVuA7NHlg1+cnVWLY/IGl74BlSHbJfS3phvvyWcpH1Xp6BewL4i+1nSscT+mf7VuBWSWc3IeeoH1MknQqcmY8PYOGBZN2tY7v9veSYvCzfFE0ujj0lz/b/mPSc/C9wQ9mQFtXYHCtJk0lNUk8B/kV6cr27iY1Sm07Syu3J7HUlaW/gBOAR4AhSQ+kHSTlkn7Z9RrnowmBJWpe0OaYzgbZy35yfC0nLAoeQtu0LmAycaHt2vw+sCUnXAZ9s1a2StB3wDdvblI2sN/oojn2i7buLBtZjktYExlex/l+TB1Yj4skV6iMn5u9Lei5eAUywfa+kF5GaiW5cNMAwKJKuJuXofBt4PanXo2wfVTSwIZJ0me1dJX3V9qdLx7OkSNoE+CnpdSjSF5135xnJRpC0MkATvpC2az1HBzpXWmOXAm3PbHtyHVM6nhCAebb/Cqngne17AWw/JKlJyc9NN9b2ZZJkeyYpV+5PpMFWna2Scxn3lvQLFi7CiO2byoTVW3kAtUnO0cH244VD6oncb/QoUo9AAaPy+8r3bB9bNLghkjQGWA54YS6u3HpujgdWLRZYHxo3sGryk2ukyP8fvsz230vH0mOj8pvCKGBexxvEqHJhhcX0dG5LdJekjwD/BF5UOKZeOJJU++9lQGcVeVPzAraSXk+qZTgznzoceIukmcBhtu8rF11PHA5sB2zZ+lskrQ2cJOljtr9dNLqh+QDp71uVlFvVet98nJRSUSmNWwqU9DHSluiDO59cwEU1f3KNGJKmNq0psaT7gXl0zARklWvLELqTtCVwO7AicBxpSelrtv9cNLAekfQF28eVjqPXJE0Dtrb9pKS9SIPH/YHNgH1tv7ZogEMk6WZSD8uHO86vDFzShHZukj5q+3ul4xhIEwdWjX9yjQSSfgD8xPaNpWMJIdSfpFtbm5cknUaqKP/VfFz7Aq+SZtjeaHGv1Y2kbUkbfuavuFWt8nrjlgJJNVge7jxp+98Nq8XSdDsDH8yzPE+Qm2/anlA0qjBidfQeXYTtvYcrlvCcSNLzSEWHdwVObLs2pvtDaqW/ki2NKOci6UxgHVKP1bn5tEmbESqjiQOrxj+5Rog9SgcQQodtgL+TqpBfT/cl3VBd3yF9ID8O3G57CoCkzUjleOpuE0ndEvFFMwaOkIp9b+iKL7U1cSlwLmmGY5FLwBjbMWtVE7lQ6Lq2T89Luc9rQIJpqClJo4HdSHk5E4ALgJ/bvq1oYD2Sd159kNShYjpwatOa1kt6KWmjwa225+Vzq5BWOv5WNLgwIEmTgENtV3og3LiBVWiG3GxzC2B92+tJWhWYZHu7wqE9Z5JW6u+67UeGK5YwNLmI5v7A10l95iqfUDsQSb8EngX+RJoxnmn7sLJRhbBAbgG2Kana+vyCtVVbhm/iUmBohjeRduvcBGD7AUnjyoY0ZFNJ+QACVgcezfdXBP4GrFUutDAYeUC1J2lQtSapkv45JWPqoQ1bRWpzS5vKtQoJI97RpQMYjBhYhap6xrYlGUBS7Xtd2V4LQNIPgd/Z/kM+3oPUfilUmKQzgI2AC4FjbM8oHFKvze9/aHtOKicXQnXYvqp0DIMRS4GhkiR9AliXlNPyFeAg4OyGLLksUqNL0hTbW5SKKQxM0jwW5G+2v3G2dqyOH/6oeqcjP1XAWNIOukb8fS19LMnPanhj7VqTNIuFX3PzL1HB52YMrEJlSdoNeA3pxXOx7T8WDqknJF1MymM5i/Rm8Q5gh7oXKAyhDnIJl9VYeCn+f4GHgPfbnlouutAEMbAKlZb7ebUXgqt9gnf+xnwUsEM+NZm0tFT7vy00j6QVgUNsf6l0LL2Ql+LPtX1xPn4NsDvwK+C7trcqGV+ovxhYhUqS9AHgWOApFrSBibYvISwhklYDvkDqx/Zb4GxSy553kZbhG7FDsNuye+ucpFtsb1oqttAMkbwequoTwCu6VdGvu7xleJFvNLZr3eQ21N5PgauA35BmcP4M3AZsbPtfJQPrsUckfRr4RT7eD3g01ymbVy6s0BQxYxUqSdJFwJttP1k6ll6T1J64PgZ4CzDH9qcKhRTCQr308vGDwOq2Z/fzsNqR9ELSUvz2pJnwq4FjgMdIf+/dBcMLA5C0Bqlw9KWSxgJL2Z5VOq52MbAKlZTbTJxOah3SXgju0GJBLUGSrrK9Y+k4wsgl6VZgJxa06rmi/ThyAENpkt4PHAysZHsdSesCP7S9a+HQFhJLgaGqTgYuJ7XWaNT0fMd271HA5sBLCoUTQssKpCK27QWsbsr/GmhEfqOk9UipBmuy8MaYWIqvvkOAV5K+cGP7LkkvKhvSomJgFapqju2Plw5iCWmvwD4HuA94b9GIwohne83SMQyTScAPgVOAuYVjCYtntu1nWsVrJS1F9/pWRcXAKlTVFZIOBn7PwkuBtV+OaFVgD6FKJL3D9ln5/na2r2m79hHb3y8XXU/NsX1S6SDCc3KVpM8BY3Odww+TPiMqJXKsQiVJuq/L6UaUW5C0NPAhFtSxuhI4OSo/h5Ik3WR7Yuf9bsd1JuloUjHQc2nYl7amkzSKNLs/v3A0cIorNpCJgVUIw0zSKcDSwBn51DuBubbfVy6qMNJJutn2Zp33ux3XWZO/tIVqiKXAUEmS3tXtvO2fDncsS8CW7dvagcvzjqwQSnIf97sd11YsxdeXpO2Ao4E1SOOXShaOjoFVqKot2+6PAXYl7VBqwsBqrqR1bN8DIGltIok2lLeBpGmkD6t18n3ycaU+uJ4LSbvYvlzSm7tdt33OcMcUFtupwMdIG4Aq+54ZA6tQSbY/2n4saQXgzELh9NonScn595I+tNYA3lM2pBB4eekAlrAdSSVcXt/lmoEYWFXfY7YvLB3EQCLHKtRCTvieZrsRb/6SlgXWJw2s7mhadesQqkrSWrbvG+hcqB5JxwOjSYPg9o0HN/X5oAJiYBUqSdLvWZDXMQrYEPiV7c+Ui2po+lqCaImliBCWvG47HCVNtb15X48J1ZD7rHZy1Yq7xlJgqKpvtN2fA8y0/Y9SwfRItyWIlliKCGEJkrQB8ApghY4vOeNJeZyh4mzvXDqGwYiBVaiqKcBTtuflFhQTJT1Y51pPtiOPKoRy1gf2AlZk4S85s4D3F4koDEqreK2krt04bH9ruGPqTwysQlVNBl4l6fnAZaSB1n7AAUWjGoL8pvCY7VM7zn8UGG37O2UiCwEkTaefsgq2JwxjOD1n+zzgPEnb2L6udDxhsSyf/x1XNIpBihyrUEmtPIg86Bhr+2t1L1IoaQYw0fYzHeeXBW6s+wdXqDdJa+S7h+R/W7twDwCetH3s8EfVe5JWJs1QrcnCTZgPKhVTaJZRpQMIoQ+StA3pTf2CfK7uM6zuHFTlk7NJuwNDKMb2TNszge1sf8r29Hz7DPDa0vH10HnACsClpPeW1i1UnKQzJK3Ydvx8SaeVjKmbun9QheY6DPgscK7t23IRzW47QmpF0ottP9h5rlQ8IXSxvKTtbV8NIGlbFizFNMFytj9dOojwnEyw/Z/Wge1HJVVuFSMGVqGSbE8m5Vm1ju8FDi0XUU98HbhA0v+QqsgDbA58jYV3QYZQ0nuB03JRXgOPAU1aJjtf0uts/6F0IGGxjZL0fNuPAkhaiQqOYyLHKlRS3gn4CRbNg6hUvZLFJWkP4DPARqQPrduA4+tQTTiMLJLGkz4jHisdSy9JmkWagZsNPMuCfnPjiwYWBpR7yH4W+HU+tS/wJduV6soRA6tQSbkp8Q/p6Alle2qxoEIYAfLS9JeBVW3vIWlDYJvO3awhlJCfj7uQBsSX2f5L4ZAWEQOrUElRCTmEMiRdCJwOfN72JpKWAm62vXHh0IZE0ga275A0sdv1qrVFCQtIGm/78bz0twjbjwx3TP2JgVWoJElHAw8B57JwT6hKvYBCaBpJN9resr28iaRbbG9aOrahkPQj2wfXpS1KWEDS+bb3knQfC9daay3jrl0otK5iYBUqKb+AOlXuBRRC00i6EngL8MdcS25r4Ku2dywb2dBJGkVa1rymdCyhuWJgFcIwixyWUGV5qex7pA0WM4CVgX1sTysaWI9Ius72NqXjCIPX1/JtS9WWcWNgFSpJ0tLAh4Ad8qkrgZPr3Cuwpak5LKE58nNyfdJSy51NeN21SDoGmAac4/gArIW25dsxwBbAraTn5gTgetvbl4qtm6i8HqrqJFKNpxPzbfN8rgleaPtXwDwA23No2/kYQkmS9iW1kboNeCPwy4FmDGrm48AkYLakxyXNkvR46aBC32zvbHtnYCapLdgWeXPTZsDdZaNbVOUKa4WQbWl7k7bjy3MJhiZ4QtILyEmYOYelUbWCQq19wfYkSduTWtl8g/SlZquyYfWG7Vo08g1dbWB7euvA9gxJldtUETNWoarmSlqndZBb2jRlVufjwO+AdSRdA/wU+GjZkEKYr/U62xM4yfZ5wDIF4+kJSS+S9B1J50v6ci6AGurldkmnSNpJ0o6SfgzcXjqoTpFjFSpJ0q6kPKR7SWvpawDvsV37foHQ7ByWUG+Szgf+CbyatAT/FHBDxwxy7Ui6iFRweDKwFzDO9ruLBhUWi6QxLJx7O5k0+H+6XFSLioFVqCxJy7Jg8HGH7dkDPKQWcg7LRbZnSToCmAh8sWo7W8LIJGk5YHdguu27JK0CbGz7ksKhDUlnLS5JN9luUu7YiCBpLLC67TtLx9KXWAoMlSTpEFIC7TTbtwLLSfpw6bh65At5UNXKYTmD5iTmh5qz/aTtc4DHJK0OLA3cUTisXpCk50taKVfwHt1xHCpO0t7ALcBF+XhTSb8rG9WiYsYqVFK3Ss/tlaDrrPV3SPoKaVbg7Kb8baH+8ofXN4FVSd0PVifNGL+iaGBDJOl+0k5cdbkcxYdrQNJUUp/AK9u6AkyzPaFsZAuLXYGhqkZJUqvOjKTRNCCBNvunpJNJOSxfzUueMXscquI4YGvg0vwFYGdg/8IxDZntNUvHEIZsju3HpG5j4+qIN/NQVRcDv5K0q6RdgJ+Tp38b4K2kv2932/8BVgI+WTakEOZ71vb/kb7cjMobRiq3pT2MSDMkvZ20jLuupO8B15YOqlMsBYZKyj29DibN6gi4BDjFdm1LLtStQ3sYmSRdSioMejzwAtJy4Ja2ty0aWBjx8saKzwOvIX0uXAwcF7sCQxihunRob5/PjhyPUAmSlgeeJj0/DwBWAH6WZ7FCCAOIgVUIw0gpOWA1238rHUsIfZH0EuCVpC8AN9r+V+GQekbSxsAG+fB22zNKxhMGNtDOP9t7D1csgxEDqxCGmaSpuc9VCJUj6X3AkcDlpFmrHYFjbZ9WNLAhkrQCcB6wGqkJs4CNgb8Bb7Ad/QIrStK/gb+Tcm2vp2Nnp+2rSsTVlxhYhUqStFFTv0lK+gHwE9s3lo4lhE6S7gS2bS395b6W19pev2xkQyPpBOAZ4FO25+Vzo0i5ZGNtR1upisq7wncj7U6dAFwA/Dw3Cq+cGFiFSpJ0Nam8wk+As/PuuUaQ9BdgPVKn9idI375ctVosYWSSdBmwh+1n8vEywB9sv7psZEOTX3cTbM/pOL8UqZ7cy8tEFhZHLk+zP/B10kzq9wqHtIioYxUqyfb2ktYFDgKmSLoBON32HwuH1gt7lA4ghE6SPp7v/hO4XtJ5pByrNwA3FAusd57pHFQB2J4jqRHtsposD6j2JA2q1gROAM4pGVNfYmAVKiv3KTsCmEJ6EW2Wk78/l1tu1JLtmZImAtuTPriuiT6BoQLG5X/vybeW8wrEsiSMkbQZi1ZeF7BsgXjCIEk6A9gIuBA4puppIrEUGCpJ0gTgPaRvKH8ETrV9k6RVgetsr1E0wCGQdCSwLwu+bb0RmGT7i+WiCqHZJF3R33XbOw9XLGHxSJpHSpuA9GV0/iVSGsX44Y+qbzGwCpUkaTJwCmnA8VTHtXfaPrNMZEMn6XZgs1ZRu9yt/abI8QghhPqLpcBQSbZ36OdabQdV2f3AGFIRRkjLEPf0+dMhhJ6Q9ErSDMeNkjYEdifVsrqwcGihQWLGKlSKpOksPNU7/xIN2Tkn6bfAlqQlTpO2EV9Nah2C7UPLRRdCM0k6irRxZCnSa28r4EpS26yLbX+pXHShSWJgFSpFUr+5U7ZnDlcsS4qkA/u7bvuM4YolhJbc0LbPD4S6D/jzl7ZNSTPE/wJelnt3jgWub8KXtlANsRQYKqUJA6f+tArd2X5H6VhC6DAl/7sdsCHwy3y8LzC1SES9NSc3cX9S0j2tSuu2n8rJ0SH0RAysQqVImkX/35ortftjcdmeK2llScu0CjCGUAWtmVJJ7wZ2tv1sPv4hcEnB0HrlGUnL2X4SmN9SKre6iYFV6JkYWIVKsT0OQNKxpOn6M0n5VQewoM5O3d0PXJMbi7a2EGP7W8UiCmGBVUmvtUfy8fPyubrbwfZsgFZLm2xpoN/l+RAWRwysQlW91vZWbccnSboe+FqpgHrogXwbRXMGi6E5jgdubqv7tCNwdLlweqM1qOpy/mHg4WEOJzRYJK+HSpJ0LfAD4BekpcH9gUNsb1s0sB6StLztJwb+yRCGl6SXkHbNQUrs/lfJeEKok1GlAwihD28H3go8mG/75nO1J2mb3BD29ny8iaQTC4cVAgCSdiA1CX8039bL50IIgxAzViEMs7ykuQ/wO9ub5XMzbG9UNrIQQNLv2w7HAK8EptrepVBIIdRK5FiFSpK0MvB+Uhfz+c9T2weViqmXbP899ZOeb26pWEJoZ/v17ceSVqMZuY0hDIsYWIWqOg/4E3ApzRt0/F3StoAlLQMcSl4WDKGC/gHEbGoIgxQDq1BVy9n+dOkglpAPAt8FXkr60LoE+HDRiELIOiqwjyJVK7+1XEQh1EsMrEJVnS/pdbb/UDqQJWB92we0n5C0HXBNoXhCaDel7f4c4Oe247kZwiBF8nqopFyBfXngmXxrNWGudeV1AEk32Z440LkQSslL1OvlwztbVdhDCAOLGatQSa0K7E0iaRtgW2BlSR9vuzQeGF0mqhAWJmkn4AxShwABq0k60PbkknGFUBcxsAqVpLRl7gBgLdvH5Z1Jq9i+oXBoQ7EMqT3IUixccf1xUvmFEKrgm8BrbN8JIGk94Oe09dcLIfQtlgJDJUk6idQYdRfbL5f0fOAS21sWDm3IJK1he2bpOELoRtI02xMGOhdC6C5mrEJVbWV7oqSbAWw/mvM+mmBZST9i0RpdUYAxVMEUSaeSGqBDmjmeWjCeEGolBlahqp6VNJq87TsXDJ3X/0NqYxLwQ+AUmlejK9Tfh4BDSPXVBEwGouVSCIMUS4GhkiQdAOwHTCQl0u4DHGF7UtHAekDSVNuRrxJCCA0UA6tQWZI2AHYlfWu+zHYjqpNLOhp4CDgXmN06b/uRUjGFIGk6CwqDLiJyrEIYnBhYhUqRNN7245JW6na9CYMPSfd1OW3baw97MCFkktbo73psuAhhcCLHKlTN2cBepGTZ9lG/8nHtBx+21yodQwhdLA28uLPKuqRXAQ+UCSmE+hlVOoAQ2tneK9ew2tH22m23teo+oyPpU2339+249uXhjyiEhXwHmNXl/FP5WghhEGJgFSrHaX363NJxLAFva7v/2Y5ruw9nICF0sabtaZ0nbU8hlQYJIQxCDKxCVf1ZUu2LgXZQH/e7HYcw3Mb0c23ssEURQs3FwCpU1c7AdZLukTRN0nRJi3ybrhn3cb/bcQjD7UZJ7+88Kem9RIHQEAYtdgWGSpG0lu37+tqhVOedSZLmAk+QZqfGAk+2LgFjbC9dKrYQJL2YtAT/DAsGUluQely+yfa/SsUWQp3EwCpUSqt4pqTLbO9aOp4QRhpJOwMb5cPbbF9eMp4Q6iYGVqFScm/A3wLvA77ded32t4Y9qBBCCGGQIscqVM3bgKdJNdbGdbmFEEIIlRUzVqGSJO1h+8LScYQQQgiLI2asQiW1D6oknV8ylhBCCGGwYmAV6uClpQMIIYQQBiMGVqEObi4dQAghhDAYkWMVKkvSMsB6+fBO28+WjCeEEEIYSAysQiVJ2gk4A7ifVEBzNeBA25MLhhVCCCH0KwZWoZIkTQXebvvOfLwe8HPbm5eNLIQQQuhb5FiFqlq6NagCsP1XIFq+hBBCqLSlSgcQQh+mSDoVODMfH0A0gg0hhFBxsRQYKknSssAhwPakHKvJwIm2ZxcNLIQQQuhHDKxCJUlaHnja9tx8PBpY1vaTZSMLIYQQ+hY5VqGqLgPGth2PBS4tFEsIIYQwKDGwClU1xvZ/Wwf5/nIF4wkhhBAGFAOrUFVPSJrYOpC0OfBUwXhCCCGEAcWuwFBVhwOTJD2Qj1cB3lYwnhBCCGFAkbweKkvS0sD6pF2Bd0RLmxBCCFUXS4GhUiR9qu3wjbZn2J5u+1lJXy4WWAghhDAIMbAKVdO+3PfZjmu7D2cgIYQQwuKKgVWoGvVxv9txCCGEUCkxsApV4z7udzsOIYQQKiWS10OlSJoLPEGanRoLHpvnHAAAA0dJREFUtCqti1TbKhoxhxBCqKwYWIUQQggh9EgsBYYQQggh9EgMrEIIIYQQeiQGViGEEEIIPRIDqxDCEiHp85JukzRN0i2Sthrg54+W9IlB/Hf/O9DPdPz8TpLOX5zHtD32cEnR/DuEMGjRKzCE0HOStgH2Aibani3phcAyhcN6Lg4HzmLB7tT5JI22PXf4QwohVFnMWIUQloRVgIdtzwaw/bDtBwAk3Z8HWkjaQtKVbY/bRNLlku6S9P7+fkGeibpS0q8l3SHpZ5KUr+2ez10NvLntMQvNikmaIWlNSctLukDSrfncfpIOBVYFrpB0Rf75/0o6VtL1wBGSzm37b+0m6Zwh/a8WQqi9mLEKISwJlwBHSvorcCnwS9tXDeJxE4CtgeWBmyVd0BqQ9WEz4BXAA8A1wHaSpgA/BnYB7gZ+OYjfuzvwgO09ASStYPsxSR8Hdrb9cP655YEZto/Mg7jbJa1s+9/Ae4DTB/G7QggNFjNWIYSes/1fYHPgYODfwC8lvXsQDz3P9lN5IHMF8MoBfv4G2/+wPQ+4BVgT2AC4z/ZdToX6zhrE750OvFrSVyW9yvZjffzcXOA3APm/fSbwDkkrAtsAFw7id4UQGixmrEIIS0TOP7oSuFLSdOBA4CfAHBZ8qRvT+bABjjvNbrs/lwXvaX09rv13z//9tv8qaXPgdcBXJF1i+9guj3+6I6/qdOD3wNPAJNtzBog3hNBwMWMVQug5SetLWrft1KbAzHz/ftJsFsBbOh76BkljJL0A2Am48Tn8+juAtSStk4/3b7t2PzAxxzgRWCvfXxV40vZZwDdaPwPMAsb19YvyMuUDwBGkQWMIYYSLGasQwpLwPOB7eYlsDinX6eB87RjgVEmfA67veNwNwAXA6sBxA+RXdWX7aUkHAxdIehi4GtgoX/4N8C5Jt5AGbX/N5zcGvi5pHvAs8KF8/kfAhZL+1/bOffzKnwEr2/7L4sYaQmie6BUYQghDIOn7wM22Ty0dSwihvBhYhRDCcyRpKvAEsFurtEQIYWSLgVUIIYQQQo9E8noIIYQQQo/EwCqEEEIIoUdiYBVCCCGE0CMxsAohhBBC6JEYWIUQQggh9EgMrEIIIYQQeuT/AxeHVhvJ3GKPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Sub Industry</th>\n",
       "      <th>Data Analytics platform</th>\n",
       "      <th>Mobile Chatbot App</th>\n",
       "      <th>Eco-friendly consumer &amp; packaging products</th>\n",
       "      <th>Enterprise Cloud Based Data Processing</th>\n",
       "      <th>Maritime Solutions</th>\n",
       "      <th>Maths Learning program</th>\n",
       "      <th>Cloud based ERP for Accreditation &amp; ICT</th>\n",
       "      <th>3D Printing Solutions for Edu space</th>\n",
       "      <th>Data Analytics Platform</th>\n",
       "      <th>Medicine Intake Reminder System</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Number of times</th>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Sub Industry     Data Analytics platform  Mobile Chatbot App  \\\n",
       "Number of times                        3                   1   \n",
       "\n",
       "Sub Industry     Eco-friendly consumer & packaging products  \\\n",
       "Number of times                                           1   \n",
       "\n",
       "Sub Industry     Enterprise Cloud Based Data Processing  Maritime Solutions  \\\n",
       "Number of times                                       1                   1   \n",
       "\n",
       "Sub Industry     Maths Learning program  \\\n",
       "Number of times                       1   \n",
       "\n",
       "Sub Industry     Cloud based ERP for Accreditation & ICT  \\\n",
       "Number of times                                        1   \n",
       "\n",
       "Sub Industry     3D Printing Solutions for Edu space  Data Analytics Platform  \\\n",
       "Number of times                                    1                        1   \n",
       "\n",
       "Sub Industry     Medicine Intake Reminder System  \n",
       "Number of times                                1  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp_df = df_startup[df_startup['IndustryVertical'].isin(['Technology','technology'])]\n",
    "temp_df = temp_df['SubVertical'].value_counts()[:10].reset_index()\n",
    "temp_df.columns = ['Sub Industry', 'Number of times']\n",
    "temp_df.set_index('Sub Industry', drop=True, inplace=True)\n",
    "temp_df.plot(kind='bar', figsize=(10,5))\n",
    "plt.show()\n",
    "temp_df.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src='https://drive.google.com/uc?id=1Mxy8kFijaRZJlcWtUIxxFI6t1-ZfJjkT' width=500>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ===================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q9). Top 10 Industry where funding is maximum."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>IndustryVertical</th>\n",
       "      <th>ECommerce</th>\n",
       "      <th>Consumer Internet</th>\n",
       "      <th>Technology</th>\n",
       "      <th>Online Marketplace</th>\n",
       "      <th>E-Commerce &amp; M-Commerce platform</th>\n",
       "      <th>Ecommerce Marketplace</th>\n",
       "      <th>Car Aggregator &amp; Retail Mobile App</th>\n",
       "      <th>Cab Aggregator</th>\n",
       "      <th>Cab rental Mobile app</th>\n",
       "      <th>Logistics</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AmountInUSD</th>\n",
       "      <td>4.277110e+09</td>\n",
       "      <td>3.797089e+09</td>\n",
       "      <td>1.103594e+09</td>\n",
       "      <td>700000000.0</td>\n",
       "      <td>680000000.0</td>\n",
       "      <td>500000000.0</td>\n",
       "      <td>500000000.0</td>\n",
       "      <td>400000000.0</td>\n",
       "      <td>225000000.0</td>\n",
       "      <td>180645000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "IndustryVertical     ECommerce  Consumer Internet    Technology  \\\n",
       "AmountInUSD       4.277110e+09       3.797089e+09  1.103594e+09   \n",
       "\n",
       "IndustryVertical  Online Marketplace  E-Commerce & M-Commerce platform  \\\n",
       "AmountInUSD              700000000.0                       680000000.0   \n",
       "\n",
       "IndustryVertical  Ecommerce Marketplace  Car Aggregator & Retail Mobile App  \\\n",
       "AmountInUSD                 500000000.0                         500000000.0   \n",
       "\n",
       "IndustryVertical  Cab Aggregator  Cab rental Mobile app    Logistics  \n",
       "AmountInUSD          400000000.0            225000000.0  180645000.0  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# converting ecommerce into Ecommerce\n",
    "df_startup['IndustryVertical'] = df_startup['IndustryVertical'].apply(lambda x: 'ECommerce' if x=='eCommerce' else x)\n",
    "\n",
    "new_df = df_startup.groupby('IndustryVertical')['AmountInUSD'].sum().reset_index()\n",
    "new_df.sort_values('AmountInUSD', inplace=True, ascending=False)\n",
    "\n",
    "new_df.set_index('IndustryVertical', inplace=True, drop=True)\n",
    "new_df[:10].plot(kind='bar', figsize=(10,5))\n",
    "plt.show()\n",
    "\n",
    "new_df[:10].plot(kind='pie', subplots=True, figsize=(12,6), autopct='%.f%%')\n",
    "plt.show()\n",
    "\n",
    "new_df[:10].T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* ECommerce got maximum amount of funding followed by Consumer Internet and then by Technology.\n",
    "* If one want to start a startup then they can start in these industries."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### =================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CITIES ANALYSIS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q10). Top 10 cities which have maximum startups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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gNttsMx577DH+/Oc/M3Xq1AWlZHPnzuWJJ55gxRVXZNiwYR0OX3D//ffz0Y9+lP790xzJo0eP5s4772T//ffvNMYBAwbw+OOPM2HCBCZMmMCIESO45pprGDFixGL7nnfeeVx//fUAzJgxgyeeeIJ+/frRu3dvDjjggB49J+11dO277bYb3/3ud2lra+Ozn/0sgwYNWqpjd8bVhWZmZnXmq1/9KuPGjeP1119fsK5Pnz7Mnz8fSGM4vfPOOwu2rbTSSgvu9+rVa8Fyr169eO+99xZsa99bThIRwfnnn8+UKVOYMmUKTz/99IIkrdJmqr2IWKrrWmmllRg5ciQ/+tGPOOWUU7jhhhsW2+f222/n1ltv5W9/+xsPPvggO+6444JhFPr27dtl27Dq62s/9EJH137YYYcxfvx4Vl55ZT7xiU8wYcKEpbquzjjJMjMzqzPrrLMOBx98MOPGjVuwbuDAgUyePBmAG2+8kXfffXeJj3vNNdcwf/58nnzySZ566im23HJLPvGJT3DhhRcuON4//vGPRZK7juyyyy7ccccdvPDCC8ybN48rr7ySPffcs8vHPPDAA8ycORNIPQ2nTp3KJptsAsAKK6yw4Pxz585l7bXXZpVVVuGxxx7jnnvu6fSYq6++Oq+++uqC5fXXX59p06Yxf/78BSVhXV37U089xWabbcaJJ57Ifvvtx9SpU7u8hiXV0NWFZmZmzerkk0/mggsuWLB83HHHMWrUKIYNG8aIESM6LWXqypZbbsmee+7J888/z0UXXUTfvn059thjeeaZZ9hpp52ICPr3799hCVO1DTbYgO9///sMHz6ciOBTn/oUo0aN6vIxs2bN4rjjjuPtt98GYNiwYXz5y18GYMyYMQwePJiddtqJSy65hIsuuojBgwez5ZZbsuuuu3Z6zDFjxjBy5Eg22GADJk6cyJlnnsm+++7LRhttxLbbbstrr73W5bVfddVV/PrXv2aFFVbgfe97H6eeempPn8oe0dIW+dXSkCFDYtKkSUv8OLfJMjOzWpk2bRpbb7112WFYAY466ij23XdfDjzwwCV+bEevC0mTI2JIJw9ZwNWFZmZmZgVwdaGZmZk1tV/+8pelnLdHJVmS1pJ0raTHJE2TtJukdSTdIumJfLt23leSzpM0XdJUSTsVewlmZmZm9aen1YU/Af4YEVsB2wPTgLHAbRExCLgtLwOMBAblvzHAhTWN2MzMrCD10E7Z6seyvh66TbIkrQF8BBiXT/hORLwMjAIuy7tdBlRGIBsFXB7JPcBakjZYpijNzMwK1rdvX+bMmeNEy4CUYM2ZM4e+ffsu9TF60iZrM2A2cKmk7YHJwEnA+hHxbA7kWUnr5f03BGZUPb4tr3t2qaM0MzMr2IABA2hra2P27Nllh2J1om/fvgwYMGCpH9+TJKsPsBPwlYi4V9JPWFg12BF1sG6xnwWSxpCqE9l44417EIaZmVlxVlhhhQ6nkDFbWj1pk9UGtEXEvXn5WlLS9XylGjDfzqraf6Oqxw8AZrY/aERcHBFDImJIZe4jMzMzs2bRbZIVEc8BMyRtmVeNAB4FxgNH5nVHAjfm++OBI3Ivw12BuZVqRTMzM7NW0dNxsr4CXCFpReAp4GhSgna1pGOAfwEH5X1vBj4FTAfeyPuamZmZtZQeJVkRMQXoaPj4ER3sG8AJyxiXmZmZWUPztDpmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBXCSZWZmZlYAJ1lmZmZmBehRkiXpGUkPSZoiaVJet46kWyQ9kW/Xzusl6TxJ0yVNlbRTkRdgZmZmVo+WpCRreETsEBFD8vJY4LaIGATclpcBRgKD8t8Y4MJaBWtmZmbWKJalunAUcFm+fxmwf9X6yyO5B1hL0gbLcB4zMzOzhtPTJCuAP0uaLGlMXrd+RDwLkG/Xy+s3BGZUPbYtr1uEpDGSJkmaNHv27KWL3szMzKxO9enhfrtHxExJ6wG3SHqsi33VwbpYbEXExcDFAEOGDFlsu5mZmVkj61FJVkTMzLezgOuBYcDzlWrAfDsr794GbFT18AHAzFoFbGZmZtYIuk2yJK0qafXKfWBv4GFgPHBk3u1I4MZ8fzxwRO5luCswt1KtaGZmZtYqelJduD5wvaTK/r+JiD9Kuh+4WtIxwL+Ag/L+NwOfAqYDbwBH1zxqMzMzszrXbZIVEU8B23ewfg4wooP1AZxQk+jMzMzMGpRHfDczMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswL0KTsA69zAsTct1/M9c+Y+y/V8ZmZmzcwlWWZmZmYFcJJlZmZmVgAnWWZmZmYFcJJlZmZmVgAnWWZmZmYFcJJlZmZmVgAnWWZmZmYFcJJlZmZmVgAnWWZmZmYFcJJlZmZmVgAnWWZmZmYFcJJlZmZmVgAnWWZmZmYFcJJlZmZmVgAnWWZmZmYF6HGSJam3pL9L+kNe3lTSvZKekHSVpBXz+pXy8vS8fWAxoZuZmZnVryUpyToJmFa1/APgnIgYBLwEHJPXHwO8FBEfAM7J+5mZmZm1lB4lWZIGAPsAv8jLAvYCrs27XAbsn++Pysvk7SPy/mZmZmYto6clWecC3wDm5+V+wMsR8V5ebgM2zPc3BGYA5O1z8/6LkDRG0iRJk2bPnr2U4ZuZmZnVp26TLEn7ArMiYnL16g52jR5sW7gi4uKIGBIRQ/r379+jYM3MzMwaRZ8e7LM7sJ+kTwF9gTVIJVtrSeqTS6sGADPz/m3ARkCbpD7AmsCLNY/czMzMrI51W5IVEd+KiAERMRA4BJgQEaOBicCBebcjgRvz/fF5mbx9QkQsVpJlZmZm1syWZZysbwJfkzSd1OZqXF4/DuiX138NGLtsIZqZmZk1np5UFy4QEbcDt+f7TwHDOtjnLeCgGsRmZmZm1rA84ruZmZlZAZxkmZmZmRVgiaoLzWpp4Nibluv5njlzn+V6PjMza20uyTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrgJMsMzMzswI4yTIzMzMrQLdJlqS+ku6T9KCkRySdntdvKuleSU9IukrSinn9Snl5et4+sNhLMDMzM6s/PSnJehvYKyK2B3YAPilpV+AHwDkRMQh4CTgm738M8FJEfAA4J+9nZmZm1lK6TbIieS0vrpD/AtgLuDavvwzYP98flZfJ20dIUs0iNjMzM2sAPWqTJam3pCnALOAW4Eng5Yh4L+/SBmyY728IzADI2+cC/WoZtJmZmVm961GSFRHzImIHYAAwDNi6o93ybUelVtF+haQxkiZJmjR79uyexmtmZmbWEJaod2FEvAzcDuwKrCWpT940AJiZ77cBGwHk7WsCL3ZwrIsjYkhEDOnfv//SRW9mZmZWp3rSu7C/pLXy/ZWBjwHTgInAgXm3I4Eb8/3xeZm8fUJELFaSZWZmZtbM+nS/CxsAl0nqTUrKro6IP0h6FPitpP8G/g6My/uPA34laTqpBOuQAuI2MzMzq2vdJlkRMRXYsYP1T5HaZ7Vf/xZwUE2iMzMzM2tQHvHdzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrAB9yg7ArBkNHHvTcj3fM2fus1zPZ2Zm3XNJlpmZmVkBnGSZmZmZFcBJlpmZmVkBnGSZmZmZFcBJlpmZmVkBnGSZmZmZFcBJlpmZmVkBnGSZmZmZFcBJlpmZmVkBnGSZmZmZFcBJlpmZmVkBnGSZmZmZFaDbJEvSRpImSpom6RFJJ+X160i6RdIT+XbtvF6SzpM0XdJUSTsVfRFmZmZm9aYnJVnvASdHxNbArsAJkrYBxgK3RcQg4La8DDASGJT/xgAX1jxqMzMzszrXbZIVEc9GxAP5/qvANGBDYBRwWd7tMmD/fH8UcHkk9wBrSdqg5pGbmZmZ1bElapMlaSCwI3AvsH5EPAspEQPWy7ttCMyoelhbXmdmZmbWMnqcZElaDfgd8NWIeKWrXTtYFx0cb4ykSZImzZ49u6dhmJmZmTWEHiVZklYgJVhXRMR1efXzlWrAfDsrr28DNqp6+ABgZvtjRsTFETEkIob0799/aeM3MzMzq0s96V0oYBwwLSJ+XLVpPHBkvn8kcGPV+iNyL8NdgbmVakUzMzOzVtGnB/vsDnweeEjSlLzuFOBM4GpJxwD/Ag7K224GPgVMB94Ajq5pxGZmZmYNoNskKyLupuN2VgAjOtg/gBOWMS4zMzOzhuYR383MzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK4CTLzMzMrABOsszMzMwK0G2SJekSSbMkPVy1bh1Jt0h6It+unddL0nmSpkuaKmmnIoM3MzMzq1c9Kcn6JfDJduvGArdFxCDgtrwMMBIYlP/GABfWJkwzMzOzxtJtkhURdwIvtls9Crgs378M2L9q/eWR3AOsJWmDWgVrZmZm1iiWtk3W+hHxLEC+XS+v3xCYUbVfW163GEljJE2SNGn27NlLGYaZmZlZfap1w3d1sC462jEiLo6IIRExpH///jUOw8zMzKxcS5tkPV+pBsy3s/L6NmCjqv0GADOXPjwzMzOzxrS0SdZ44Mh8/0jgxqr1R+RehrsCcyvVimZmZmatpE93O0i6EvgosK6kNuA04EzgaknHAP8CDsq73wx8CpgOvAEcXUDMZmZmZnWv2yQrIg7tZNOIDvYN4IRlDcrMzMys0XnEdzMzM7MCdFuSZWbW3sCxNy3X8z1z5j7L9XxmZrXgkiwzMzOzArgky8ysHZfUmVktOMkyM2sxTiLNlg9XF5qZmZkVwEmWmZmZWQGcZJmZmZkVwG2yzMysqbjNmdULl2SZmZmZFcBJlpmZmVkBnGSZmZmZFcBJlpmZmVkBnGSZmZmZFcBJlpmZmVkBnGSZmZmZFcBJlpmZmVkBnGSZmZmZFcBJlpmZmVkBnGSZmZmZFcBJlpmZmVkBPEG0mZlZg/Dk143FJVlmZmZmBXCSZWZmZlYAJ1lmZmZmBXCbLDMzM6sLzdbmzCVZZmZmZgVwkmVmZmZWACdZZmZmZgVwkmVmZmZWACdZZmZmZgVwkmVmZmZWgEKSLEmflPS4pOmSxhZxDjMzM7N6VvMkS1LyVpA1AAAXvklEQVRv4KfASGAb4FBJ29T6PGZmZmb1rIiSrGHA9Ih4KiLeAX4LjCrgPGZmZmZ1q4gka0NgRtVyW15nZmZm1jIUEbU9oHQQ8ImIODYvfx4YFhFfabffGGBMXtwSeLymgXRtXeCF5Xi+5c3X17ia+drA19fofH2Nq5mvDZb/9W0SEf2726mIuQvbgI2qlgcAM9vvFBEXAxcXcP5uSZoUEUPKOPfy4OtrXM18beDra3S+vsbVzNcG9Xt9RVQX3g8MkrSppBWBQ4DxBZzHzMzMrG7VvCQrIt6T9GXgT0Bv4JKIeKTW5zEzMzOrZ0VUFxIRNwM3F3HsGimlmnI58vU1rma+NvD1NTpfX+Nq5muDOr2+mjd8NzMzMzNPq2NmZmZWCCdZZmZmZgVwkmVmZmYNQ1JvST8qO46eKKThe72StAcwKCIuldQfWC0ini47LuuYpLsjYg9JrwLVjQcFRESsUVJoNSdpQ2ATqt6TEXFneRHVlqRNSO+9WyWtDPSJiFfLjstak6StIuIxSTt1tD0iHljeMdWKpM92tT0irltesRQlIuZJ2lmSos4blrdMw3dJpwFDgC0jYgtJ7weuiYjdSw5tmbRSItKsJP0A+BzwKDAvr46I2K+8qGpH0nGk2R3WiYjNJQ0CLoqIESWHVhOSdgXOB7YGViQNXfN6o7/3OvhMWUQjX5+kiyNijKSJHWyOiNhruQdVI5IuzXfXAz4ETMjLw4HbI6LLJKxRSDobGARcA7xeWV9vSWQrlWR9BtgReAAgImZKWr3ckJZdROyRbxv+WroiqTewPouW9PyrvIhqan9S8v922YEU5ATSxPH3AkTEE5LWKzekmrqANOjyNaQfckcAHyg1ohqofKZIOgN4DvgV6cfbaKChP28iYky+HV52LLUWEUcDSPoDsE1EPJuXNwB+WmZsNbYOMAeoTogDcJJVknciIiQFgKRVyw6oCPnLq29luRkSEUlfAU4Dngfm59UBDC4tqNp6ClgBaNYk6+2IeEcSAJL60EUJSSOKiOmSekfEPOBSSX8tO6Ya+kRE7FK1fKGke4EflhVQLUnaFtiGRT83Ly8vopoZWEmwsueBLcoKptYqyWS9a6Uk62pJPwfWytUXXwD+p+SYakbSfsDZwPuBWaT2PdOAD5YZV42cRCrpmVN2IAV5A5gi6TaqEq2IOLG8kGrqDkmnACtL+jjwJeD3JcdUS2/kKcSmSPoh8CzQTD/i5kkaDfyWlBwfysJq7YaWm5F8lJRk3QyMBO4GmiHJul3Sn4ArSf+3Q4COqkcbUq4WXezHWkR8oYRwOtUybbIA8gf83qQi7z9FxC0lh1Qzkh4kFZveGhE7ShoOHFopFm9kud3ExyPivbJjKYKkIztaHxGXLe9YiiCpF3AMVe894Bf13mC1p3Kj/lmk0sh/B9YEfhYR00sNrEYkDQR+AuxO+lL7C/DViHimvKhqQ9JDwPbA3yNie0nrk16bny45tJrIjeA/nBfvjIjry4ynliQdULXYl9QkaGa9/ThtiSQrt+f5U0R8rOxYilKZgTwnWztGxHxJ90XEsLJjW1qSvpbvfhDYEriJRUt6flxGXEXIJSGVovzHI+LdMuMxawWVz0hJk0kNw18FHo6IZqgBaCn5x9yt9dZpoSWqC3N3zzckrRkRc8uOpyAvS1oNuAu4QtIsoNFLfiqNa/+V/1bMf01F0keBy4BnSCU9G0k6slmGcJC0O/BtFg5RUen5ulmZcS2rXArSVe+7pmgzKKkvqSTygyzabqmuqmWW0iRJa5GajkwGXgPuKzek2mjWXq9dGARsXHYQ7bVESRaApKuBXYFbWLS7Z10VLS6t3JD/LRb2/lkTuKKJ2zE1jfwr+rCIeDwvbwFcGRE7lxtZbUh6jFSNNpmqtjyN/trM1YSQek9C6n0H6f33RkScsfyjqj1J1wCPAYcBZ5Cub1pEnFRqYDWWq0XXiIipJYdSE5Im0UGv14j4z1IDq5GqIUaUb58DvhURvys1sHZaKclq6nYvAJLeR+oqH8D9EfFcySEtE0m/p+uSgmYZR2pq+1KPjtY1Kkn3tuud1lQk/aX9eHsdrWtUkv6e23lOjYjBklYgNb+oq2qZpdWsAwFXNSFZ8Fki6a8R8aGyY2slLVFdCCmZauZ2L5KOBU4lDTwn4HxJZ0TEJeVGtkzOKjuA5WSSpHEsWhIyucR4am1ingLjOhZtU9ewo2q3s6qkPSLibgBJH6K5ehdWPidfzsMdPAcMLC+c2ulsIGCg4ZMsmr/Xa6Vh/x6k/9ldEXFDySEtppVKsj5Ku3YvQDO1e3kc+FClCkZSP+CvEbFluZHVRp6KZeNKlVozkbQSqcppD9Jr805S77SmGDerGUfVriZpZ+ASUhU9wMvAF5olicw/4H5HGpfuUmA14L8i4uelBlYD+XNzcLO816rl6uznSe2xmrHX689Ig/5emVd9DngyIk7o/FHLXyslWc3e7uU2YGREvJOXVwRuboYelZI+TSrVWjEiNpW0A3BGs1QXWnOQtAbpM7VZO9c0HUn/CxwUEa+VHUsR8vfAVqSSnscr3w/NQNIjwLaVoWBy78KH6q1naMtUFwIrVJeCRMQ/ctuChlY1zMH/AfdKupH0hhpFk/SSIfVMGwbcDhARU3Ij1aagNJff91l81OmG7n1XIenUjtY3esNwSYdHxK+r3oOV9UDzDDGSS8W/zcJxsu4CvtPoHReyph0IWNI+wEXAk6QS8k0lfTEi/rfcyGrmcVJvwn/m5Y2Auuu00EpJVrO2e6kMc/Bk/qu4sYRYivJeRMytfHk1oUtJ0wadQxqr52jSh2KzeL3qfl9gX9JsBI2u0r6loefx64HfkqqwK4M/jgauAhq+lBwYn/+a0dnA8Er1oKTNSWMNNkuS1Q+YJqlSmDAU+Juk8VA/HaNaqbqwqdu9NLOcHN8GjCV90J9IKpk8vtTAakTS5IjYWdJDEbFdXndXRHy4u8c2ovxeHB8Rnyg7Fute5fXZbt2kiBhSVkzWPUl3RsRHqpYF3FG9rpFJ2rOr7RFxx/KKpSstU5KVk6kf57+mI2kI8J8s3hW5GYYB+Arp2t4mNXL8E/CdUiOqrbdye4InJH2ZVPW7XskxFWkVoCmqQgEkDSAN+lipTrsbOCki2koNrHYmSjoEuDovH0gqEWl4zThQbu5xB/CIpJtJ/7cADgLuLy2wGquXJKo7TV+S1UKjMj8OfB14CJhfWR8R/+z0QVYXJA0lVZ+tRUoe1wR+GBH3lBpYjbR7D/YG+pM6LlxQXlS1I+kW4DcsbIpwODA6Ij5eXlTLrt1gj6uy8HOlF/BaM4wc3owD5SpNnNyZaPSR+iXdHRF7VL0+F2wiXV9dvS5bIcnapKvtzZKEVF54ZcdRa3kQ2ZNIcxdCSkbOi4jLy4vKlkS79+B7wPPRRJN9S5oSETt0t87qT7MPlGvla/rqwmZJonrgNEm/ILVdqu4lc115IS0bSUcAXwW+BjxA+qWyE/AjSTRLotXJyPZzgUnAzyPireUf1bLLc94dTxrL5iFgXDMlV1VekHQ4C8frORRo2JKQjkhamzQ3XHXv12YYY7BpB8pVc885uYCk9Vj0+v5VYjiLafqSrAo1+WSZkn5NGg/lERYW6zd00bCke4BDIuKZdusHAr+NiF1LCKvmJP2EVIVWPajec8DKpLnUPl9WbMtC0lWk0cLvAkYC/2y2+e4AJG0MXADsRkqW/0pqk9UUP/DyYKQnAQOAKaQ5YP/WDIPJNvNAuWryOScl7UfqQfl+YBapXd20ehsnq5WSrGafLHNBz7RmIenRiNhmSbc1mva9gKrXSXqk3j40eqpdb8k+wH0RsVPJYdkSym3qhgL3RMQOkrYCTo+Iz5UcmnVBzT/n5IPAXsCt+TqHA4dGxJiSQ1tE01cXVouI6ZJ6R8Q84FJJfy07phq6R9I2EfFo2YHU0JtLua3R9Je0caWYO5eMrJu3NfIIzQvmBo2I95ptnLPOBlnNIiKapQfsWxHxliQkrRQRj0lqlum61ge+B7w/IkZK2gbYLSLGlRxaLTTtnJPZuxExR1IvSb0iYqLSXJR1pZWSrGafLHMP4EhJT5PaFlR6WjRy78mtJXU0gq9ooiEAgJOBuyUtGJkZ+JKkVUnzbTaq7SW9ku8LWDkv12UvoKXwegfrViW1g+lH8wwz0iZpLeAG4BZJLwEzS46pVn5JGgy4UqPxD9JAq82QZF2c29L9F2nA1dWArn4YNJqXJa1Gao5whaRZpI41daWVqgs3IdXbrkBzTpbZYS/KRm4X0go9Q/P4WLuSupBvRUpAHmvUxu6tStLqpHZLx5DGJTo7ImaVG1Xt5QEg1wT+2Azz4Em6PyKGVqrW8jr3DG0AklYB3iJ9Zh4OrAFcEREvlhpYOy1TklX1hfwmcHqZsRSk6bLlZkiiuhMR8yWdHRG7AQ+WHY8tGUnrkHq/jiaVOu4UES+VG1Xt5B8BUyNiW2icASCXwOt5bsbKJMO7knr2Niy1m0uzvUafU7OD8bFg4TRkp+Yagf+MiNuWb2Qda5kkq5NBSSvd5P+7kQefy25i4cCBfUlVTo+Tuu9affuzpAOA66JVipabQO76/1ngYmC7iHit5JBqLv8IeLC6zWCT+RqpKm1zSX8h9fI9sNyQllllLs0tSR0WKnMzfpo0nVxDi4hO5wqV1BvYFrgi35aulaoLf0ga0fc3edUhpIRkLrBHRHy6rNiKIGkn4IsR8cWyY7Gu5V9mq5LaE1SKv5uhzVJTkzSf1P7xPRpg5OmlJWkC6cv6PqraoUWdTMC7rHLP1y1J/7fHI+Ldbh7SECT9GTggIl7Ny6sD10TEJ8uNrHiSvhgRPy87DmitJOsvEbF7R+uacfgDAEkPNEOXeUl7kbqPv1F2LGatRp1MxNssVYeSPkTqdVc952vDD3ScpwzaPtK8vZWJ2R+MiK3Kjay1tEx1IbCapF0i4l4AScNIvS2gDnskLKl29fC9SCOjzy4pnFo7CrhI0hxST5K7gLubpe2LpI90tL5JRtS2BhcRd+ROKIMi4tbc4Lh32XHVgqRfAZuTBlmtzF0YQMMnWaS5NO+TdD3pmj5Dc1xXQ2mlkqyhwCWkxErAK8CxpBHS94mIq7t4eN2TdFrV4nvAM8DvmqmXmqT3k9pL/AdpXJum+JGQp9Wp6AsMAyY3y6CB1tgkHQeMAdaJiM0lDQIuiogRJYe2zCRNA7Zp1raQudnIh/PinRHx9zLjaUUtk2RVSFqTdN0vlx2L9UyeF+7DwHbAC8DdwF0R8bdSAyuIpI2AH0bEoWXHYiZpCinxv7dqmIOmaGKRp545MSKeLTuWIkjag1QCeamk/sBqEfF02XG1kqYoCeiJXB99ALnuvTL6dEScUWJYy0zS+K62N0nj1HOBJ4GLgInt5zJsQm3USc8YM+DtiHin8pmZG4o39K9zLZyUfXXgUUn3segE0Q3/uZlrN4aQGvVfShoj8tfA7l09zmqrZZIs4EZST8LJVL2ZmsBuwAzS5ML3snC8kKYREetK+iDwEeC7ubri8UadOLk9Seez8EurF7AjHjPL6scdkk4hjdj/ceBLwO+7eUy9Gw+sT2rfWW1P4P+WfziF+Azps+QBgIiYmXsY2nLUSknWgCbtuvo+4OPAoaTZ1m8CroyIR0qNqoYkrQFsTJplfSBpxOn5ZcZUY5PybZDa0/0mIpppXk1rbGNJI9k/BHwRuBn4RakRLbtRwCkRsci0XZJeB06jOabVeSciQlJloNVmmkauYbRMmyxJFwPnR8RDZcdSlFwleijwI+CMiDi/5JBqIs9feHf+uzMi2koOqSYkjSIl/z/Ny/eRBkMM4BsRcW2Z8Zk1K0kPV0ax72Bbs7Q3+w9gEOlH+PeBL5B+wDXF90KjaKUk61HgA0AzTaAMLEiu9iElWANJReGXRESzFHsD6ZdYRHQ0KW9DyiNMHxIRM/LyFGAvUg/YS5uh95Y1rk5myVigkT87JU2PiA8s6bZGk6t39yZ93/0pIm4pOaSW00rVhSPLDqAIki4jNZL+X+D0iHi45JBqTtJupOL71YCNJW1PGs3+S+VGtsxWrCRY2d15ctMXXbRvdWDffHtCvv1Vvh0NNPrAwPdLOi4i/qd6paRjSO12m0JE3CLpXvJ3vaR16m0C5WbXMiVZFZLWI41FBECjz8eVp/aolO405dQe+UPiQGB8VRfyTov7G0U3v6afjIjNl3dMZu11NVtGWTEtK0nrA9cD77AwqRoCrAh8JiKeKyu2WpH0ReAM4E1SG9bKd8JmpQbWYlqmJEvSfsDZwPuBWaRG1NNo8AmUI6JX2TEsDxExo9KFPJvX2b4N5N5Ofk1/kTRPnFk9WFXSHhFxNyyYhqahS1oj4nngQ5KGs3C4lJsiYkKJYdXafwAfjIgXyg6klbVMkgV8B9gVuDUidsxvLg/22Bhm5A/2kLQicCIpQW50/w7cIOkwcjdrYGdgJWD/0qIyW9QxwCV5IOcgDYXzhXJDqo2ImAhMLDuOgjxJ41frNryWqS6UNCkihkh6ENgxIuZLui8ihpUdm3VN0rrAT4CPkYq8/wycFBFzSg2sRvIE2JUS1Uea7Ne0NThJvSNiXh5KRRExt+yYrHuSdiQNQnoviw60emJpQbWgVirJelnSasCdwBWSZtEEE0O3glzcPbrsOIqSkyonVlavpku6ltRjuRlKkFvFz0mfKw/RXOMKNpRWKslaldQAsBfpC3tN4IpmKQ1pRpJO7WJzRMR3llswZi0qjxJ+CHA06fPzEuC3EfFKqYFZlyT9NSI+VHYcra5lkqxqufppTrPOvN4sJJ3cwepVSW1E+kXEass5JLOWJukjpCm81gKuBb4TEdPLjco6Ium7wD9JUyBVVxd6CIflqOmTLEm7AmcCL5Iav/8KWJf0i+yIiPhjieFZD+Vf0yeREqyrgbMjYla5UZk1P0m9SYMdH00a7PhXwBXAh4HvRcQW5UVnnZH0dAerPYTDctYKbbIuAE4hVQ9OAEZGxD2StiL9InOSVcckrQN8jVTFexmwU0S8VG5UZi3lCVIPvB+1m1Pz2lyyZXUoIjYtOwZrjZKsKRGxQ74/LSK2rtr298rgllZ/JP0I+CxwMfDTiHit5JDMWo6k1fzea0x56JuBVBWoRMTlpQXUglohyXogInZqf7+jZasveTT7t0m9QJtyNHuzeiXpfLqeu9BDAdQxSb8CNgemsHDw5vD/bflqherC7SW9QvpiXjnfJy/37fxhVrZWGc3erE5Nqrp/OnBaWYHYUhkCbOMOXuVq+pIsMzNbNm5a0XgkXQOcGBHPlh1LK2uFkiwzM1s2/jXeICT9nvT/Wh14VNJ9LBzCISJiVGnBtSAnWWZmZs3jrA7WCdgDz9e73DnJMjOzxUh6lYUlWKu0a8/qjid1KiLuqNyXtANwGHAw8DRwUVlxtSonWWZmtpiIWL3sGGzJSdqCNA3SocAc4CpS++vhpQbWotzw3czMrEnkoW/uAo6pTHkk6SmP9F4Od5E3MzNrHgcAzwETJf2PpBGkKl4rgUuyzMzMmoykVYH9SdWGe5GmJbs+Iv5camAtxkmWmZlZE8tzwB4EfC4i9io7nlbiJMvMzMysAG6TZWZmZlYAJ1lmZmZmBXCSZWYNS9L7JP1W0pOSHpV0s6SPSLo2b99B0qfKjtPMWpOTLDNrSJIEXA/cHhGbR8Q2wCmk0cgPzLvtADjJMrNSOMkys0Y1HHg3IhZMFRIRU4AZkh6WtCJwBvA5SVMkfU7SE5L6A0jqJWm6pHXLCd/Mmp2TLDNrVNsCkzvbGBHvAKcCV0XEDhFxFfBrYHTe5WPAgxHxQuGRmllLcpJlZq3kEuCIfP8LwKUlxmJmTc5Jlpk1qkeAnZfkARExA3he0l7ALsD/FhGYmRk4yTKzxjUBWEnScZUVkoYCm1Tt8yqwervH/YJUbXh1RMwrPEoza1lOssysIUWaruIzwMfzEA6PAN8GZlbtNhHYptLwPa8bD6yGqwrNrGCeVsfMWoqkIcA5EfHhsmMxs+bWp+wAzMyWF0ljgX9jYQ9DM7PCuCTLzMzMrABuk2VmZmZWACdZZmZmZgVwkmVmZmZWACdZZmZmZgVwkmVmZmZWACdZZmZmZgX4/9ammiMfZkSiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>City</th>\n",
       "      <th>Bangalore</th>\n",
       "      <th>Mumbai</th>\n",
       "      <th>New Delhi</th>\n",
       "      <th>Gurgaon</th>\n",
       "      <th>Pune</th>\n",
       "      <th>Noida</th>\n",
       "      <th>Hyderabad</th>\n",
       "      <th>Chennai</th>\n",
       "      <th>Ahmedabad</th>\n",
       "      <th>Jaipur</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Number of Startups</th>\n",
       "      <td>627</td>\n",
       "      <td>446</td>\n",
       "      <td>381</td>\n",
       "      <td>240</td>\n",
       "      <td>84</td>\n",
       "      <td>78</td>\n",
       "      <td>76</td>\n",
       "      <td>66</td>\n",
       "      <td>35</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "City                Bangalore  Mumbai  New Delhi  Gurgaon  Pune  Noida  \\\n",
       "Number of Startups        627     446        381      240    84     78   \n",
       "\n",
       "City                Hyderabad  Chennai  Ahmedabad  Jaipur  \n",
       "Number of Startups         76       66         35      25  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city = df_startup['CityLocation'].value_counts()[:10].reset_index()\n",
    "city.columns = ['City', 'Number of Startups']\n",
    "city.set_index('City', drop=True, inplace=True)\n",
    "city.plot(kind='bar', figsize=(10,5), title='Top 10 Cities which have maximum startups')\n",
    "plt.show()\n",
    "\n",
    "city.plot(kind='pie', subplots=True, figsize=(12,6), autopct='%.f%%')\n",
    "plt.show()\n",
    "city.T\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Bangalore,the silicon valley of India, is on top followed by Mumbai and then by Delhi.\n",
    "* Jaipur is also in top 10 with 25 startups. A good start from Jaipur. \n",
    "* Jaipur can be a hub of startups as there is huge space avilable in Jaipur and government is also come out with new schemes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ===================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q11). Top 10 cities which got maximum funding and their funding distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>CityLocation</th>\n",
       "      <th>Bangalore</th>\n",
       "      <th>New Delhi</th>\n",
       "      <th>Mumbai</th>\n",
       "      <th>Gurgaon</th>\n",
       "      <th>Chennai</th>\n",
       "      <th>Pune</th>\n",
       "      <th>Hyderabad</th>\n",
       "      <th>Noida</th>\n",
       "      <th>Ahmedabad</th>\n",
       "      <th>Pune / US</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AmountInUSD</th>\n",
       "      <td>8.425674e+09</td>\n",
       "      <td>2.750248e+09</td>\n",
       "      <td>2.343694e+09</td>\n",
       "      <td>2.067822e+09</td>\n",
       "      <td>411105000.0</td>\n",
       "      <td>282153000.0</td>\n",
       "      <td>194762000.0</td>\n",
       "      <td>170338000.0</td>\n",
       "      <td>98186000.0</td>\n",
       "      <td>68500000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "CityLocation     Bangalore     New Delhi        Mumbai       Gurgaon  \\\n",
       "AmountInUSD   8.425674e+09  2.750248e+09  2.343694e+09  2.067822e+09   \n",
       "\n",
       "CityLocation      Chennai         Pune    Hyderabad        Noida   Ahmedabad  \\\n",
       "AmountInUSD   411105000.0  282153000.0  194762000.0  170338000.0  98186000.0   \n",
       "\n",
       "CityLocation   Pune / US  \n",
       "AmountInUSD   68500000.0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Dealing with duplicates name.\n",
    "l = ['Bangalore', 'Bangalore/ Bangkok', 'SFO / Bangalore','Seattle / Bangalore', 'Bangalore / SFO',\n",
    "     'Bangalore / Palo Alto', 'Bangalore / San Mateo', 'Bangalore / USA',   ]\n",
    "df_startup['CityLocation'] = df_startup['CityLocation'].apply(lambda x: 'Bangalore' if x in l else x )\n",
    "\n",
    "city_df = df_startup.groupby('CityLocation')['AmountInUSD'].sum().reset_index()\n",
    "city_df.sort_values('AmountInUSD', ascending=False, inplace=True)\n",
    "city_df = city_df[:10]\n",
    "city_df.reset_index(inplace=True, drop=True)\n",
    "city_df.set_index('CityLocation', inplace=True, drop=True)\n",
    "city_df.plot(kind='bar', figsize=(12,6), title='Top 10 cities which got maximum funding')\n",
    "plt.show()\n",
    "\n",
    "city_df.plot(kind='pie', figsize=(12,6), autopct='%.f%%', subplots=True)\n",
    "plt.show()\n",
    "\n",
    "city_df.T"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* 50% of funding was done in Bangalore city.\n",
    "* Mumbai have so many startups but have less funding.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's check out their distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GmPXW2qTmxjW7D7W19mljzJlAYsPx1lolBhHgi4NfuLU35m2kuLKY3iG9fVSRiIiItKdmA7Ux5j/AUGATUFffbQEFahEgsVciWeVZrnZ0SDRhQWE+rEhERETaU0vulJgEjLHNrQ0R6aZ+kfQL7vz8TjLLMokIimDuGXMJ8GvJt5aIiIh0BS15198G9AWyvVyLSKc0LHIYCy5fwIHDB+gX2o+QgBBflyQiIiLtqCWBOgZIMcasBaqOdlprL/VaVSKdjJ/xY3Av3QtJRESkO2pJoH7I20WIiIiIiHRWLdnl46v2KEREREREpDNqyS4fpTh39QAIAgKBcmtthDcLExERERHpDFoyQx3esG2MuQyY4rWKREREREQ6kVbfN9ta+wEw0wu1iIiIiIh0Oi1Z8nF5g6Yfzn2ptSe1iIiIiAgt2+Xjkgaf1wL7gdleqUZEREREpJNpyRrqG9ujEBERERGRzqjZNdTGmARjzPvGmDxjTK4x5l1jTEJ7FCciIiIi0tG15KLEl4CPgHigP/BxfV+zjDEXGmN2GmPSjDH3NzLmu8aYFGPMdmPMay0tXERERESkI2jJGupYa23DAP2yMebu5g4yxvgDzwDfAjKAdcaYj6y1KQ3GDAd+DUyz1hYZY+JaV76IiIiIiG+1ZIa6wBhzvTHGv/7jeuBQC46bAqRZa/daa6uBNzjxYsZbgWestUUA1tq81hQvIiIiIuJrLQnUNwHfBXKAbODK+r7m9AfSG7Qz6vsaGgGMMMZ8bYxZbYy58GQnMsbcZoxJNsYk5+fnt+CpRURERETaR0t2+TgIXPoNzm1OdrqTPP9wYAaQACw3xoyz1hYfV8MLwAsASUlJ2gNbRERERDqMltzYZTDwUyCx4XhrbXMhOwMY0KCdAGSdZMxqa20NsM8YsxNnwF7XbOUiIiIiIh1ASy5K/AD4N87dPRytOPc6YHh9IM8ErgG+d5JzX4vzQscYnEtA9rbiOUREREREfKolgbrSWvv31p7YWltrjLkTWAT4A/OstduNMY8Aydbaj+ofO98YkwLUAb+w1rbkgkcRERERkQ7BWNv0kmRjzPdwLsNYDFQd7bfWbvBuaSeXlJRkk5OTffHUIiIiItKNGGPWW2uTmhvXkhnq8cANwEyOLfmw9W0RERERkW6tJYF6DjCkfi9pERERERFpoCX7UG8Genu7EBERERGRzqglM9R9gFRjzDqOraG21trj73ooIiIiItLttCRQz23wuQHOwrnVnYiIiIhIt9fskg9r7VdACXAx8DJwHvC8d8sSEREREekcGp2hNsaMwHkzlmuBQ8CbOLfZO7edahMRERER6fCaWvKRCiwHLrHWpgEYY+5pl6pERERERDqJppZ8XAHkAF8YY/5ljDkP5xpqERERERGp12igtta+b629GhgFfAncA/QxxjxnjDm/neoTEREREenQWnJRYrm19lVr7XeABGATcL/XKxMRERER6QRacmMXF2ttobX2n9Za3XZcRERERIRWBmpxcjisr0uQDshhHb4uQURERHxAgboVSipquOWVZIY9sIBz//IlK/cU+Lok6QDyK/K5dfGtTJg/gcs/upztBdt9XZKIiIi0IwXqVnh8cSqf7cjFYWFfQTl3vraRqto6X5clPvbY2sdYnb0agN1Fu/nFsl9grf6KISIi0l0oULfCpvRit3ZheTXphRU+qkY6ii0FW9za6aXpFFUV+agaERERaW8K1K0wOTHKrR0XHsyg6FAfVSMdxaQ+k9zaQ3oNISokqpHRIiIi0tU0dadEOc5954+kuKKGJSm5DI4J5eHZYwn01+8k3d2vJv+Kqtoqvs76mpGRI3nwjAd9XZKIiIi0I9PZ1nomJSXZ5ORkX5chIiIiIl2cMWa9tTapuXGaXhURERER8YACtYiIiIiIBxSoRUREREQ8oEAtIiIiIuIBBWoREREREQ8oUIuIiIiIeECBWkRERETEAwrUIiIiIiIeUKAWEREREfGAArWIiIiIiAcUqEVEREREPKBALSIiIiLiAQVqEREREREPKFCLiIiIiHjAq4HaGHOhMWanMSbNGHN/E+OuNMZYY0ySN+tpKw6H9XUJIiIiItJBBHjrxMYYf+AZ4FtABrDOGPORtTbluHHhwM+ANd6qpa2UVNRw3zubWbojl8ToUH4/ZxxnDo3xdVkiIiIi4kPenKGeAqRZa/daa6uBN4DZJxn3O+DPQKUXa2kTjy9OZUlKLg4LewvKufO1jVTV1vm6LBERERHxIW8G6v5AeoN2Rn2fizHmNGCAtfZ/TZ3IGHObMSbZGJOcn5/f9pW20Kb0Yrd2YXk16YUVPqpGRERERDoCbwZqc5I+1+JjY4wf8CRwb3Mnsta+YK1NstYmxcbGtmGJrTM5McqtHRcezKDoUB9VIyIiIiIdgdfWUOOckR7QoJ0AZDVohwPjgC+NMQB9gY+MMZdaa5O9WNc3dt/5IymuqGHx9hyGxIbx8OyxBPproxQRERGR7sybgXodMNwYMxjIBK4Bvnf0QWttCeC6os8Y8yVwX0cN0wChwQE8efWpvi5DRERERDoQr02vWmtrgTuBRcAO4C1r7XZjzCPGmEu99bwiIiIiIu3JmzPUWGsXAAuO63uwkbEzvFmLiIiIiIg3aAGwiIiIiIgHFKhFRERERDygQC0iIiIi4gEFahERERERDyhQi4iIiIh4QIFaRERERMQDCtStVFpZw9IduezJL/N1KSIiIiLSAXh1H+quZltmCde9uIaSIzUA3DNrBHfNGu7jqkRERETElzRD3QpPfbbbFaYB/vHFborKq31YkYiIiIj4mgJ1KxSWV7m1a+oshytrGhktIiIiIt2BAnUrXDlpgFt7SmIUg6JDfVSNiIiIiHQEWkPdCt+bOpDwkACWpOQyOCaUm84a7OuSRERERMTHFKhb6ZIJ8VwyId7XZYiIiIhIB6ElHyIiIiIiHlCgFhERERHxgAK1iIiIiIgHFKhFRERERDygQC0iIiIi4gEFahERERERDyhQi4iIiIh4QIFaRERERMQDurFLK32RmsfilFyGxIRy3ekD6RmkL6GIiIhId6Y02Arvbcjg529tdrWX7c7nPzdP9WFFIiIiIuJrWvLRCq+tOejWXr67gPTCCh9VIyLSeezbmMzXb/2X/Vs2+roUEZE2pxnqVggPcf9y+fsZegb5+6gaEZHOYeXbr7Hqnddc7bOvv4nJl1zuw4pERNqWZqhb4c6Zw90C9C1nDSY6LNiHFYmIdHzrP/nArZ388Xs+qkRExDs0Q90KkwZFsvyX57IirYAhMWGMT+jl65JERDo842fc2n5+mssRka5FP9VaKTosmNmn9leYFhFpoSmzr3Jvz/mujyoREfEOzVC3UmVNHZvSixkU3ZN+vXr4uhwRkQ5vyuwriR8xiuzdO+k/agzxI0b7uiQRkTalQN0Ku3JLue7FNeSXVuHvZ7j/wlHcevYQX5clItLhJYweR8Locb4uQ0TEK7TkoxWeWLyL/NIqAOoclscX76SkosbHVYmIiIiILylQt0LO4Uq3dnWtg8KKah9VIyIiIiIdgQJ1K8w+Nd6tPSGhF4NjQn1UjYiIiIh0BF5dQ22MuRD4G+APvGitfey4x38O3ALUAvnATdbaA96syRM3ThtMj0B/FqfkMiQmlB/PGOrrkqQDsdZijGl+oIiIiHQpXpuhNsb4A88AFwFjgGuNMWOOG7YRSLLWngK8A/zZW/W0hZIjNSxNzePLnXl8nprHrtwyX5ckHUB+RT63Lb6NCfMncMVHV7D90HZflyQiIiLtyJtLPqYAadbavdbaauANYHbDAdbaL6y1FfXN1UCCF+vx2F8W7WRJSi4OC3sLyrnztQ1U1db5uizxscfWPsaq7FVYLLuKdvGLr36BtdbXZYmIiEg78Wag7g+kN2hn1Pc15mbg05M9YIy5zRiTbIxJzs/Pb8MSW2djepFb+1B5NemFFY2Mlu5iS8EWt3Z6aTpFVUWNjBYREZGuxpuB+mSLSU86bWeMuR5IAh4/2ePW2hestUnW2qTY2Ng2LLF1JidGubXjwoMZFK2LEru7iXET3dqDew0mKiSqkdEiIiLS1XjzosQMYECDdgKQdfwgY8ws4AHgHGttlRfr8di954+kqLyaJSm5DI4N5ZHZ4wj010Yp3d39U+6nqq6KlVkrGRE5grlnzPV1SSIdSmV5GSten++8U+LoMZx19Q0E9ejp67JERNqMNwP1OmC4MWYwkAlcA3yv4QBjzGnAP4ELrbV5XqylTYQFB/DUNaf5ugzpYMKCwhgbPZaSqhJGRo0ktofv/ooi0hEteu4p0tatBiBv/x4qS0v59k/v83FVIiJtx2uB2lpba4y5E1iEc9u8edba7caYR4Bka+1HOJd4hAFv1283dtBae6m3ahLxhqc3Ps1L214CIDk3mbTiNF48/0UfVyXSMVhr2ZO81q3vaLgWEekqvLoPtbV2AbDguL4HG3w+y5vPL9IeFu9f7NZek72GkqoSegX38lFFIh2HMYbe/eIpyspw9UXGN3V9uohI56MFwCIe6h/mHg4igyPpGaj1oSJHfevWO+jZqzcAoZFRnHfTj31ckYhI2/LqDLVId3Bv0r385LOfcKjyED0CevDrqb8m0C/Q12WJdBgDxozn1mdeoiQvh959+uEfoLceEela9FOtlbZllvDZjlwGx4Ry8fh+BHSXXT7SlkL6GhgwBYZppU5DY6LHsOTKJews2snAiIFEBEX4uiSRDicgMJDo/gOaHygi0gkpULfCkpRcfvSfZBz1u2l/tiOPp6/tBrt+LH8Clj58rD3zN3D2LyBvB6R9BrGjYdh5YE629Xj3EOgfyLiYcb4uQ0RERHxAgboV/r1irytMA3y8OYv/+/Yo+vXq4bui2sOqf7i3V/4D4sbAmzeArb/1+pTb4NsnvS+PiIiISJfWTdYrtA1/P/cZWGPArzvMyhq/E9srnjoWpgGS58GR7nm77Zq6Gp7b9Bw3LLiB36/+PYWVhb4uSURERNqRAnUr3Hb2UAIahOorJibQJyLEhxW1k+n3nth21Lr3WQfYk95Zvsv724a/8ezmZ9mUv4k3d77JfV/phhUiIiLdiZZ8tMI5I2JZePfZfJGax+CYUGaOivN1Se3j9B9D/ERIXw0JU2DQGRDeF969BagP0RO+Bz2jfFqmr3x28DO39rqcddqHWkREpBtRoG6lYXFhDIsL83UZ7W/gVOfHUeOvhMhE2L0YYkfBmNk+K83XEsITyCzLdLWjQqK0D7UIUFdbS8HB/fSK60tIWDf8uSki3YYCtXxzCUnOj27uvqT7uGPpHeRV5NEzoCcPTH1A+1BLt5d/cD/v/XEuZYWHCAgK5lu33sGYs2f6uiwREa9QoBbx0KioUSy8YiF7ivcwIHwAoYGhvi5JxOeWv/YyZYWHAKitruLzl/7JiNPPIiAoyMeViYi0PV2UKNIGAv0CGRU1SmFapF5JXq5bu6qinMqyUh9VIyLiXQrUjcgpqeTGl9Yy9sGFXP/iGtILK1yPORzdZDeLxnbtaGo3j26y04c9yetsaZ9IV3T8v/URp09za8ePGE1o5IkXLluHw6t1iYi0B9PZ3vCTkpJscnKy15/nB/PW8tWufFd7cmIkL/5gMve9vZmlO3JJjA7l0TnjOWNotNdr8Ymlv4M1z4NfgPOuiGfeCds/gEX/B2V5cMrV8J0nICDYOX7NC/DlH6G2CqbcArMe7pJ3TtyYt5GHVj7EvpJ9TE+YzqPTHqXGUcMDKx5gdfZqhkcO55FpjzAyciSPrX2M93e/T0RwBPdMuodLh17q6/JF2lzF4RIWPvsk+zatJ7r/AM7/0U+JHzEah6OO5I/fZ9/GZEIjoyjMyiB//17iR47hojt+Ts9evVj8/N/ZteZrImLjOO/G2xl8mq7JEJGOxRiz3lrb7A8nBepGjP7tQo7U1Ln1XT91IP9dc9DVjg4NYuWvZxIc4O/1etpV6ifwxvfc+773Nrx5HdRVH+s7by5M/zlkb4F/Tncff+U8GHeF92ttR7WOWi545wLyjuS5+uYMm0N5TTmLDyx29Q0IH8ANo2/gD2v/4OrzM34suHwB/cP6t2vNIt628Nkn2f7VUlc7LDqGW//xb/z8jv1cfPU29RZVAAAgAElEQVSBn5OTtsvVHjD2FPoOHc66j9519QX16MmPnn+FoJAufudZEelUWhqoteSjEacO6O3WPiWhF5syit36DpVXu5aCZBUf4ZZX1jH50c+447UNFJZX02llrDuxb9cC9zANkLm+8fEZ3v+lp71ll2e7hWmALflb2FKwxa0vvTSd5Fz31++wDrYVbPN6jSLtLWv3Trd22aEC18WI4FwK0jBMA2Tv3kn2ccdVH6ngUMZBREQ6IwXqRjx2xXgmDnSG6vH9e/HXqyYwOdF9/V9seDCDop0Xod39xiY+25FHfmkVn2zJ5oH3t7Z7zW1m4Jkn9o2ZAwHH3RUyYQqkr4PY0cBxyzsGnuG18nwlPjSefqH93Pom9pnIxLiJbn2Dew3mjHj31x9gApgQO8HrNYq0t4RRY9zaEbFxbF6ykHn33M57f5zLofQDxI90H9N/1Bj6jxrr1hcSGkbMgEFer1dExBu0bd5xMouP8JdFO0nLK+O80XG8dstUQoKcX6Z7zx9JUXk1S1JyGRwbysOXjiPQ34/qWgdr9xe6nWdFWoEvym8bI853LudY/Rz4B8LZ98GQc+C782Hxb6A0F4Z/C1Y9A589CP5BcOr3YN8yqDkCU38EY7reemF/P3+enPEkv1/9e/aU7OGchHO4Z9I91DpqqaqrYmXWSkZEjmDuGXMZ2nsoBw8f5N3d79I7uDd3TbyLvqF9ff0SRNrc2dffRNWRI+zbsI7oAQPpO2Q4az94C4CirAzy0w9w1W8eZem/nyFr904SRo3lW7f9lB4REZQXF7Fr9XIiYvsw84e3ERgc0syziYh0TFpDfZyL/racHdmHXe2fzRzGz88fecK4wvJq/vbZLlJzSpkxMo73NmSwO6/M9fjpQ6J447auN0vr8upVzrskHhUUDvftgiDdIbC7q9iwkYq1awgZO46w6Wf5uhxpZ2/M/SWZqSlufdc88mf2rF9L9q5U+o8ay9TLv0tgUDCblyxg1+oVRMT24YwrriUiNs5HVYuInFxL11B3qRnq9zZksGBrDgOievDjGUOJC2/dbEd6YYVbmAZYnJLL6UOi+eOnqeSXVjFnYn/uO38kt/93PWv3OWel1+wr5LtJCdQ5LHsLyhndL4JH54xvs9fVIRWnu7erS6GyuGWBuvIwfP03yN0GQ86FKbeBn1YfdQVFb75Fzty5rnb07T8i7u67fViRtLeYAYPcAnVAcDDJH79P2rpVAGTs2EZ5cSF9hw7nsxefdY3LTN3OD594zu1iRhGRzqLLBOo31x3kV+8eW7e8as8hPr1rOqYVW7fFhAUTHhJAaWWtq29AVE9unZ9MebVzx4/nvtxDaJC/K0wftW5/EZ/few6lVbVEhHSD206Puxy+ePRYe8DpEBHfsmPfvQV2L3J+vmshVByCmQ+0fY0dQE1dDYH+3eDfQ71D//63W7vwlfnE3nEHJrD7fA26uzOvuo78A/vJ2rWD4NBQZt54OwuffdJtzM5VKzic737jl6LsLPL376PPkGHtWa6ISJvoMtOCH2zMcmun5pSSmtO6u3L1CPLn95eNIyzY+XvGkJhQzh/TxxWmj9p4sJhePdwDQkJkD4wxbRKmSytreO7LPTzw/lZWtvda7NoqWP08fHwX7Phf4+Om3wcX/AEGnwNTb4drXm3Z+Y8UHwvTR21965vX20Es3r+Yh1Y+xOupr1NTV0NOeQ43LryRif+dyGUfXKYdPqTb6NmrN2dedR2jp88g6TtzGJY09YSlHL3i+hAR28etz8/fn7CoLrqvv3Q7DkcV6emvsCP1/8jLX9T8AdLpdZkZ6j4RwW7tAD9DQVkVj32aSmx4MFdPHuAKyk2ZfWp/Zo3uQ87hSobEhJJfWkWgv6Gm7tha8wkDevOdCf349XtbqaxxEBcezP0XjWqz1/L9eWvZeNC5Rd9raw/y/PWTuGBsO13Q9t6tkPKh8/P1L8O3/wJTboWUjyB9DSRMhrGXOZdonHGH86M5K/8BXz/lvIviGXdASG/n8pCjwvs1fmwnMH/7fB5PftzV3pS3iaq6KtfWeXtK9vDLZb/kkzmftOovJp1R9M03uy35iPr+9zU73c3sXLWC/z31mKu9f/NGzrvpx/zvqT9RfaSCkNAwZv7wNnrF9SUzdTtF2Vn4+Qdw1rXfJ7R3pA8rF28qKiriyy+/pLi4mLFjxzJlyhRfl+RV21PuIy9vAQBZWW8yYsRcBiR8/xuf78iRTLJz3sXgR3z8VQQH92n+IGlXXSZQ/+y84azeW0jO4Ur8DFwxKYGbXl7nCsIfbMzkwzumkVdaxYebMgkJ9Oey0/rTq0cgR6rr+HBTJofKq7l4fD8SY0IZEhPKZzvy2JZZwq3Th/DGunSKK6o5c2gM1bUO/P38+PpXM8koOkJUaBALtmaTvL+oyXNaa13nPHNoNFOHOGdjlu3KZ/2BIiYNiiQ2PNgVpsGZQV9fe7B9AnX5IWdwbij5JSjPh6/+dKwv5z4477eQsR7SlkDsSBg92xmyv/qz85iQXjDzN9CjNyxusJxj6cNw5l2w+llw1DjHzXrY+6/Ni97e9bZbe+H+hcT0iHHrSy9Np6SqhN4h7vubdzWRV3+X4OHD6y9KHEvY9OnNHyRdypalC93amanbiYiJ48Kf3M3eDckMm3w6A8aeAsCNTzxP3v69hEVFK0x3YQ6Hg/nz51NUVATAgQMHMMYwfvx4VqxYQU5ODkOHDmXq1Kn4dYHraWpqisjL+9StLzPzdfr1vYKc3A+prSmhT5/v0KPHANfj1taRl7+I8vI0oqPPoVfEsW1WKyuzWbvuUmprndkgI/O/nD71UwID9T3TkXSZQD0kNoxlvzyXDQeL6N+7B39dvNNtVnlrZgkLt+fwwPtbKaqoAeClr/fxv5+exXX/XsvmdOc/1Kc/3807t5/JR5uzeGHZXtfxv7tsLJE9g/jZ6xtdW+JdMiGe+y8axXf+vrzV5/zb0t08OmccxRU1PL7o2A0Obp0++ITXFt5ea7IDgp0ftZXH+kIiYM0/3cetfQH6jIF3bgbqv8anXe9c/nF0XXVpFrz9g5PPYAeHwz3bIT8V+k+C4DCvvJz2EhboXn+wfzAT4yaycP+xYDGs9zDW564nsyyTcwecy4CIAcefpsvoOfE0ek48zddliI8E9zzuwmRj2Pr5YtZ/8j4A275YzNnX38TkSy7H+PlpzXQ3kJ2d7QrTR6WkpLBz507S0tIASEtL48iRI8ycOdMXJbYpP79g/PyCcTiOvZf6+4eyfsM1lJU5L9jdf+A5kia9Q1jYCAB2pD5AdrZzcmbfvr8zbuxT9OnzHQBycj9yhWmA6up8cnMXkJBwXXu9JGmBzv+rIHC4sob3NmTweWoekwZFMiCqJyGBJ14pvnx3viv4Auw/VMHzX+11BV+AyhoHr6zczysr97sd++/l+/jv6gM4Guwy+PHmLF5ase8bn/Nfy/byr+V73freXp/B96YOdLWDA/y4aGw7/WknOMy5Nvoo/2CYcT8EHncr4IAQ5x7UNPhibHoNdi9xH+eoBb+T/DIwYDKE93Hubd3SMJ25HpLnQUFay8a3o5+c+hMCG7zO2yfczgNTH+D8QecTHhhOUp8k4nrGcfeXd/N48uNc9uFlbMjd4MOKRZxKDxWwZelCDm7b0vzgFpp62XcJ6nEsVJ96/sVs/dx9DWnyx++12fMdz1rLgS2b2LJ0EWVFhc0f4APVGaWUrcmmJq/C16W0i169ep0w8xweHu4K00dt3dqJb4jWgL9/TxITf+Jq+/kFERsz0xWmAerqysnMeh1wzmhnZ7/b4AyWg+nzjp3Pz31JK4Cf/4l94ludfoY6p6SSWU98RVmVc2eOobGhLLr7bG4+azCfbM127dgxa3Qc8b16nHB8gP+Ja1r9/Qx+x6119fMz+Pu59xnDCX0A/ic5p19j5zyuz98Y/jBnPMUV1SzYmkNVrYOfvLaRn+eX87Pzhp/sS+Bu43+cYTekN1z4GMSf2vwxDZ3zCxhxgXP2OHE6RPSDc34F/2uw9dmMX8HmN4470EDfU467wNDAhGucM9JH11BPuwuGzGhZLbVVUJIB29+Hz39Xf0o/uHIejJ3TutflRdMTprPg8gWsy1nHyKiRjIh0zjj8dcZfAdhfsp9LPrjENb7aUc38lPlM7DPxpOcTaQ8Zqdt59/e/pbamGoAJ37qIceeeT3FOFgPHn0rPiF7f6Lx9hgzj5r//iwNbN9E7ri/9ho9kx4ov3Ma09Z/1D2Wkk7JsKUE9Q8nbv5ddq5YDEBgcwncf/AN9h41o0+fzROlXGZR8us/ZMBB1zUh6Tuja+2+HhYUxa9YsPvvsMxwOB9HR0Zxzzjns2rWLyspjs7gRERE+rLJtDU68g5jomZSX7yIy8nTKynefMMaYoxN/BmMMDW8LYvDDWktR0UoCAnoREjKAykrndrWhocPpE/ftdngVvrO5tIJ9FVWcFRlOTFDniKqdo8om/PaDra4wDbAnv5x/LtvDqL4RfHjnNNbtKyQ2PJhzRsSRX1rFK6sOUFBWBcDwuDB+dPYQVu455NoGLyw4gBunDSY2PJinPz/22/OPzxlKXEQIa/YWUls/TX3FxARunDaYdzdkup3z9rOHsOq4c940bTBxJzlnyZEafv/JDlffNZMH8FlKDp9uzXF7nX9furv5QL3xNfjwzmPtF8+DS56G7I0QfxqccjX4+UNNJexfAWFx0O+UE8/T7xT3/qQbnRcjpq923m683ykQ1hfeugGs49iY038Mh3bBptchKNS5hjpmOJx1t/MDwOGAfcvBLwAGnu78raTmCGx5C0qzYcxlEDcK0j6D925zbqnXkHXA4t+2W6DeWbiTvIo8pvSbQnD9jEBueS4ph1I4JfYUons418H3De3LJUMvOek5HEe/Rg3UOepOMlK6kroaBxuXHCArrYQ+gyOYdMEgAoI6zh7L6z58xxWmATYv+ZTNS5zrPoN69ODK3/yefsNGcrggn/wDe+k3fFSLQ3bPiF6MnnaOqz1l9lUsf+3lY+3LrmrReSpKislO20lc4lDCo53XJdRWV5OespXQ3pHEJQ4h/+B+XnvgXmqrq044vqaqknUfv8cl99zfoufzNltnOfz5wQYdcPizg10+UDscDvr168fVV19NREQEffr0wc/PjwsuuICPP/4Yh8NBSEgIs2bN8nWpbSo8fDTh4aMBCAqKISLiVA4f3gRAQEAECf2dSzYCA3sTH38tmZn/BZxBe+DAW9m0+UYKC52/HAYH9WXE8IcICookJmYW/v5d966iv9uTxTMH8wDo6e/H2xOGMqlXqI+ral6nv1PipN8t4VB59UnHhgcH8PJNU5g0KJKSihpSsg/Tr3cIy3flExzoz/lj+rArt4zo0CC2ZZVwqKyai8b3JTo0GGNg7b5CttZfQHhKgvNisrS8Uj5PzWNITBgzR8Xh52coLK/mky1ZBAf6c96oOHbnldG/dw82HCziUFk1F47rQ15pNT2D/MkvrWJrZglDY0JZkVZAyZEaJiT0pqrOQUZRBa+uOUhj/0v2P3Zx01+c586E3O2NPz75Vpj2M5h3ERzOcPZN/AFc+nfn7HHWBgjo4VwffdShPVBeAAlJzjDeUG5K/UWJo523Ij86215b5QzMGMhMhh5REDMMqsvh5e84nwdg0Flww/swfzYcXOns8w+CH3zsXJ99tMbj+QfBb/Ob/lq0gd+t+h1v7XLOuMf1jOOVC19hU/4mfrvit9TaWoL8gvjrjL8yY8AMKmoq2H5oO4N7DXZdkLgyayUfpn1IVEgUOwt3si53HQABJoBnZz3LGfFd+E6awhevppKy/Nh2niOm9uFbN471YUXu3nrk/0jf3vhSj6FJUxmWdDqLX3ga63AQEBjE7PseIPHUSVQfqSB3bxrRAwa5QrbDUUf27l30jIggsl//E86XkbKNrN2pJIweS/yI0Sc8XlFSzKGMg/QZOpygkB7s3biOj//6R2prqjF+flxw+10MGDOeN+b+itJDzu//8eddQGBQMBs+/eiE8x01ZOJk5vxqbqOPtydb6yBz7kpocH2Pf+9g+t3fdXe8qKqq4uWXXyY7OxuAxMREbrjhBvz9ne8nZWVlFBQUEB8fT1BQEIWFhZSVldG/f3/XmK6irq6KvPxPKSnZSEnJRurqyomP/y6Jg36EtZacnA8pKUmmX/zV1NUeZuMm911BEhPvZOiQe3xUffsoqK5lwsptDb9FmBUdwX9PGeKzmrrNnRKDAxr/02FpVS1PLtnFjdMSufO1jRypqaNHoD/PXjeRobFhXPz3FWQWH8EY+OnM4fz8WyP408JUXvp6HwbDLdMHc+/5I6lzWJbuyCW/tIpZY/pw29lDKauq5fHFO9mWWcIZQ6O5dfoQdueWccFTyygoqybAz/Cbi0dzVVIC17+4hs0ZJQB855R+/OmK8Zz7l6/IK3XOqHy0OYt5P5zMk0t2NRqmW6S5NVUbXnHO8DYMqhtecYbqhfdDxlpn3+hL4Kr5sPBXzgsQAWJGwA/+B6ExziUY+akwbJZzCYfDAWv/5ZxV7jMGpt3tXD/98ncgv372fdKN0G/CsTANcGAFrPzbsTANUFcNq59rPEwDBLbs9ubWWnYV7SIyJJK4nq2bAdpbstcVpgHyKvJ4efvLLD24lFrr/ItItaOaJ9c/Se/g3tyx9A4OVx8mwC+AB09/kH5h/bh9ye3Y+nXmfXr24aEzHiKvIo/zBp3nWhbSlVSsX0/+P/6Bo+Qwva+6kshrr/V1ST61e537jUvS1uUx64djOszWiadecDHpKVtp7IdOZVkZX736Etbh/AtLbU01y15/hYCgYD54/HdUVZTjHxDABT++m4HjJvDWw7+mMCvDde7zbvoxNZWVpCWvBmDY5NNJGDMO63Cwb2MypYUFDJk4hbDIKFKWfc7if/6dutpagkNDmfPLuSx/9WXXDLp1OFj26kuMmDrNFaYBti5dxPiZ5zf6Go3x49Tzm5mIqGfrLDU55QREBuPX0zsXgpsAP0Kn9KV8VbarL+zMFt4Qq5PasmWLK0wD7N+/n9TUVABWrVqFMYZp06YRFBTEokWLWLXKeUfNqKgofvCDH9Cr1zdbetQR+fsHEx11Fqmp/4fD4Xz/37Pnz4QE96W2toxdux/B2lry8hcxcOCtJxxfW3v4hL6upryuzi1MAxyu7Rx/0e30gXrCgN5kleQ0+nhBWRUPf5zCkRrn/5AjNXX87n8pJCVGkll8BHC+n/zj890MiurJc1/ucR379OdpTBkcxUtf7+fzVOefHyIW7ODdH5/J44t2sjjF+Ya5fHcBBaXVHDhUTkGZ8w2g1mF5bGEqZVV1rjAN8L8t2QyLC3OFaQCHhfc3ZlJVe+LSgKNatOIw6Sb4qImL3QJ6QMVJLtLZ8saxMA2w42PnBYBHwzRAwS5Y/Yzz+I3/cfYtexzmvADFB47t7rF7EWRtgv4Tj4VpgPUvweSbT3zuypP8gAjs4Zy9PrDi5K8jamjjr7FeUWURty6+lZ1FOzEYbhp3E3dPavktsIsqi07oO3TkEMVVxW59hZWFPLn+SQ5XO19HraOWvyT/hXMSznGFaYDcilxie8ZyxYgrWlxDY95OfZtP93/KXRPvYkLchOYPaAe1RUUcvPU2bIXzIquchx/BPyqaiAsaDzttwVFRQW1eHoGDBrU4qFaW1XAw5RDh0T3oN9R7b9ZhkSEUZZe72qGRwR0mTAPEDRpCaO9IyosKnTel6tOXkpxjwWfcjFksfuFpt2OOlBTz1avzqKpwvq662lq+nP8iY86e6QrTAJsWfcKoaTNY9NxTFGVnAhAZn8B1jz7B4n/+nV2rnd/bgSE9uOq3j/LF/Bepq3X+olpVXs6yV1+i4nCJ23NXlpWe0AcwcNyp7N2wjvJi5/dsUGgo1eX1X3c/Q3Bo838qrsmroGDeNuqKqyDAj8jZQwmd7J2tSntfMpSggRHUZJQSPLQ3PcZ492Y2NXkV1B2uIjixF6aJCShvKS8vP6EvKyuLr7/+2tV+8803ufbaa11hGqCwsJCVK1dy0UUXtUud7aWoeJ0rTB9VcOhLCgo+w9ZP1tTUFFJUuILg4H5UVTm/J40Jol8/z98/AA4f3sr+/c9QU1tCfPzV9Ot7WZucty0M6hHM2ZFhLCsqc/VdH+/8HimuqaWkto5BPTrmBZmdPlAfOHTiN2tDV05K4M8NtqUDyC6pJOew+z9oh4X1B04MUYu357rCNMDhylpeWL6XJTvcZ58+3pJFXLj7/+TKGgfphSfWV3v8r1/AoKienDUsxrUl3/Eaj9oNfPrLk3QaXLtxzLjfuaY55YNjfVFDTj6zfejECygo2n/i3RNXPwPVx12pvvcL6HGS/TH7jHOG+lrnLzIERzjXXeelOGe3AQJDnXdejIiHJXMhe5Pz8Yay1p/kdbr709o/sbPI+f/dYvn3tn9z6bBLGdKrZX82mhA7gcSIRPYf3u/qmz1sNuFB4byf9v6xvqGzWXpwqduxh6sPEx4UfsI5j6639sQ5b5xDYZXzl6LrP72emQNm8reZf2vRsZVpaQTExBDQu+33wq5Ys9YVpo8q+/JLrwbqkk8+IefBuTjKywkaMoQBzz9H0MCBTR6Tn17KB09spPqI841rzPR4zr2u7W7K1ND0q4bz6QtbqamsIyDIj+lXe/evEnU1Dioragjt1bI3m4+e+CPl9btgWGspycnmjKuuo6ywgOFTzmTwqZM4uG0zO1Z86Tpm7IxZbP/K/d97xeESSgtOXIKV+vWXrjANUJSVwfpPPnCFaYCayiMkf/welWXud7UtLSxg7IxZrPvwHVffqGnnMOrMs9m15mvXrHrvvv0YPvVMBp82iT3JazhSVsqXr/zLdYytq+OjJ/7I7c/Pb/JrUfzRHmeYBqh1UPRhGj1OicUvuO2XHBg/Q+hpcXCa99dNF32Y5poN9wsPIu7HEwiIatna26ysLGJiYggKCvKohnHjxrFixQpq639hCg4Opq7OfcbRWsvOnTtPOPbw4babkS0rK2PNmjWUl5czYcIEBg0a1OwxdXUVpO35M4WFqwgPH8PwYb8mONiz/2/hYaNwe18GevYYRF2d+8/Pqup8Jie9S0bGf6mtK6Vf3yuICB/n0XMD1NSUsGHj9dTVOQNrcfFaAgMiiInxzXaFJTW1/DuzgPTKai6J7c3M6AheGj+YVzIPsbeiigtiIvhWTC+e2p/DE/tzqbaWM3qH8sr4IUQEdKwlQZ0+UKdkn3h78QA/w4Xj+jJzVByXT0xgZ04pb68/Nnsy+9R4JidGsWzXsTeBIbGhzD4tntfWHnQ718i+Jwaj2loHMWHB5DeYZY7v3YOLx/dle9axHwCTBkVyzZSBvLMhk7r6CxnDQwK46azBHCys4KPNzvWVQ2JC+f6Zidx6th/zVuwnJauYRSl5tFrNSbZgCgiBb//ZeVFi3/HOvuvfcV4EGBYHp98BZbmw5jnnMg2AoHA4/SfOOyaWHpuxYsxlkLoAbIMfhn4Bzp1AGgbw4AjnBZDbG2yNFRrn7Os/Cda96Dxuym3O4Hztm5D6PyjNgVEXQ+/6PZrnPAe7v4BXW//bc8M9oI96ZdsrPDytZTeRCfALYN4F8/jPjv+QV5HHxYMvZnrCdKbFT2No76FsLdhKUp8krhpxFcEBwbyw5dhs/ln9z+KW8bewPHM56aXOq7IvHXopY6M9Wz+7//B+V5g+6vP0z5s9rjo7m32XzcFR4pzdi7jkEvo//mePajle8NATf1E5WV9bcRw5Qs7ch3DUz35V791L3hNPkvDUk00et2HhAVeYBkhZnsWkCwYREXPiDkCeGjAmih/+cRoFGWVE9w8l+P/bO/P4Kqqz8X+f7PtOQkJIAtlDgAACssrmriDiBlZFfbVo31q3ttpqi1r3Wq3V/tS6VUWLrftS910WAdn3JQECWQhk32/u+f0xc3Pv3HsTAkkI8p7v55NPZs4988wzZ+aceeY5zzmnl8IIADYvKeHr17bS1monKiGE824ecVjD+sDuXR5pYdExjL/AGapz2s9voF/qIEp37SBlyDCGTT+dNpvNMu1dxkknkzd5GlvNmTUccsJjPQ2P1qZGjzRltzN45Gh2rXL2kuVOnMLEiy8jIi6evZvW0z89kxFnnIufvz9zblvIpu++IjQqmlFnzcLXzw9fPz/yJk/jSxdj2kF9F6bOa9njZrjZFLaqJgISjv+BUB3RWtFoCS2x17ZQ9f4u4i7P6+QoKCws5JVXXmk3eqdNm8bkyZOPWo+4uDiuuuoqVq5ciY+PD2PGjKG83PP9lpGRwY4dO6iudvZCDB069KjP60pbWxvPPfdc+1zYq1ev5vLLL2fQIM91H1zZtu0e9pcYoX8NDTtoatrPSaMWd0uXkJBBZGb+nl27HqOtrYH4+DNITb2OyqofqKpa3p6vf8IsAgMTSE+/pVvnc+dQ5ZJ2Y9rB/pK3+sygvnjtLtbUGrbLayWHeGZIGjPjo5gZH0VRYzOjIkLZ1dDMg4Wl7Z8gS6vqeXpvOb8edHytstyrBrWInAH8FfAFnlVKPeD2eyDwEjAKOAhcrJQq6u55bXbFE/OMKcla2+zcc14+KTEhrNpTyUmp0Vw1cRBBfr74+gjvr9vPgKhgrpuSQXx4IPfOzueZb3YhwIJT0rlgZDL/WrGHDfuMBtffV5g3NpUZef25+fU1NNvsRAT58bszcxgzKIbQQD8+31xOer9Qrp+SQUSwPy9dNYZFy3cT7O/HNZMHERbox+NzR3Dt5MHUNLYyZlAMCvD39eFXMzIpPHCUBrXXwmiGkebAhrZW8PU3Yp8zzNHU9jYI7w+XvW0Yuv7BxmIskQPhyg/h+78agxKHz4XsM6F4peGVBhBfmHCTYRQvmgONlca80zPuguwzYO6/YPUrEBJjrI7oF2zEUc906Ua2t4Gvn7GcuYM2m5EG1iXKj4A25RlztWS/M1a7zWpmAvYAACAASURBVN6Gr9sgS7uy4yPOLtF+If24edTNlnR/X3+uGHKFJe364dcTHRjNkv1LyI7J5ur8qwkLCOOd895hRckKYoNjyY7J7vRcHenkmrZk7xKOhn033NBuTAPUvPceMVdeSXCeMTDM3tCAj9tiHKqlBfz8EJfpzZTNBkp5LCWubDYCMzOJu+GXHHzqaVRLC6GTJhE9b541X2urIdMl7EHZ7YZMl8FHSilUSws+gVaD0FVPW0UF9jrrS6FxzZrDlkVpoafHq6m+td2gbqpvJTDEqmNLkw0/fx98fJ1lYWttA4Vl1g6lFHa7wtclX0CwHwmDIyxpAK3Nbfj6++DjMu1mW6sdhcLPZQ59e5sdW4udgGBnU62UorG2leBwf0SEliYbX7y8ud3hVVXWwEfPrGfOrw87hsaDTd99ybDppxv62FrxCwhg9ExnN3ObzcakuVcQGhXNnvVriB+UweiZ5xMQHMLMW3/Ppq8/JzgikjEzL8AvIICV779JoxmmERwRyaizz2P/9q3s32r0OomPD8NPPZPEzGx+eOc/lBftInVoAQWnG3HPBaedRcFpZ7Vfd5vNRlrBKNIKRrno1Iqvn/FMFq49uvndVauXPkCbaj+vamrDJ9j6urQ32ZAAX8TlHiqbHQTE5X4rpcCuLGkAyq4sx7Yf7yvWOmKGArqGa6g2O8qmLB50dz2bd3j2uDYXeobMuLN48WKLB/mLL75g3Lhx+Jv1vrW1tX3bQWtrK35udbutrQ0RwcfHh6SkJGbOnGnWETtxcXEUFBSwdu1aAEaOHElOTg79+/fn+++/p7a2lvz8fPLyrMa/q0wHdrsdu92On5/1/rjqWVRUZFlYRinF0qVLD2tQl5ZZB7tWV6/EZqvDzy8Mpey0tTXg52ddS8Fmq8PXN9RSFnZ7CyJ+iNnmpwy8kqTES7DbmwgIMHpzhw39O0W7n6Kubhv94qYzYMA8y/E+PtaeAkOmr8vUe2C324A2fFzmrTb0rMfPz3AONjR4fkjX1KzttBx6i411je3GtIPXSg5S3NTCn3buxw70C/DjptQE3Pv1dzZ4zurT1/SaQS3GXX4SOBUoBlaIyLtKKdf++6uBSqVUhohcAjwIXNwT569qaOGmxWv4atsBBkaHcN/sofzvtAzu+3AzI+/5lABfH26YnsmzV4zmnTX7mPnEd1Q2tHD+iGQ+vekUdpTXceu/13Lbm+s5KS2aG2dkUtNoY1NJNRc/s5S02FD+NncEUSH+fLSxlCtfXEGAnw+/mp7J8/NH8/bqfZz+2DdUNrQwe8QAHrt4BNvKavnVa2vYWlbL6LRoHrtkBMnRwVzz0kqLnj5tPRmAb4e6A/DWtbDzC4jNgJlPwMAx8NHtsOpFc4q738NF/4QfX4aXZxuxzSN+Bmc9AiVr4Z1fwOJLYfBUmPMCHNoBO74wps6Ly4IL/wkIrP83fHw7fPknY9q8SxYZMp8/HZprDZlnPmSEcrzzC2Nw4+ApRiy2+MBbP4edn0NspmF415R0fnlHQFlDGeUN5fzu29+xvHQ5GVEZ3DPhHnJicrh/+f28teMtIgIiuHHUjZyXcR6LtyzmyTVP0mhr5MLsC7n1pFtZU76GhUsXUlRdxMQBE7l34r3Y7Da+Lv6aZSXLKG0oZUbKDLJjsnlg+QO8veNtIgIjuHHkjczKmNWhzD8u+SO7a3ZbZN7+3e0sL3HqWdno+YLsCk3rN3ikVb31Fr7hYey75Vaa1q0jYPBgkh56iMDMDEruuJOaDz/ENyqKhN/8mshZszj47LNUPPU0qrWV6EsuIf6231K/ZAmlC++itbiYsClTSHrgfsKnT6fkjjup//ZbiubOI+nBBwgYPJjSO/9A9Qcf4BsdRcJvfkPkuedy8LnnqXjqKUPmvHnE//pW6r/7jpI//hHb/hJCJ01iwMMP0VZby76bb6Fp/XpDzwcfREI9B6baSjseS+GgocazET64rw5ffx8+eXYjh/bXE5UQwmlXDyEyPphPn99E0foKgkL8mXhRJtlj+7P07Z2s/XwvSimGnpLMhAsy2L3+IF+/tpX6qmYGFfRj+hW5NNS08NkLmygrrKFfSjgz5ucRFhPIZy9sonBdBcFh/ky8MJOsMf1Z9s5O1n62FwUMPWUA4+dksPPHA3zzr6001raSkhfDqVcPob6qmY+e2UBVWQMR/YI5/X+GULGvHve3Tdmuo+sqryovp2Lvbv77xF8oL9pJ/4wszvrlrYRGRvHR3x9jx4plhMXGMv2q6zjpnNl8//oinr5uPiLCmFkXMOvWO9j+wxJev/t31FcdYvDI0cSlpNFcX0/x5vU8fd0V9M/IZtycuTQ31lOxZw9v3P9HwmP7Mf3qBUy85HK+f/0VnrxqLuLjw5hZFzB29kVsW/YdX774DPXVVWSdPJHTF9xAdXmZh541B72HzB0WL+MybTXNqDY7lYu3YjvYhH9iKDGX5uIT5MuhV7fQvKsan/AAomdnEJQTQ/X7u6j7oQTx8SF86kAipg6kYXU5VR/swt5gI6SgH9HnZ9Ja3kDlv7fRWlJPQFoEMZdk4xPgy6HFW2naVolvZCDR52cSmBFlyFxegvj6ED41mYipKdT/UErVfwtRTTaCh8QSfVE2raX1Hnq2NbZ6XqZL70xHuM4L7WD//v34+Pjw9ttvc/DgQVJSUpgzZw6+vr68+eab7Nq1i+joaGbOnElqaiofffQRq1atwt/fn6lTpzJ27Fh+/PFHPvvsM5qamigoKODcc89lyJAh7XkPHjzI+eefz9SpU3nzzTd54403+PLLL5k5cyYpKSleZa5atYrPPvuM5uZmhg8fzjnnnMP+/fs99HQMgnRl27Zthy0L15UO258LWxM1NWvZvOV2mpr2ERU5mvz8x1HKxoYNN1Bds5qgoIHk5T1MZEQBW7f+gZLSt/D1DSU9/RaSB8yjuPgVdu56FLu9gaTEi8nKupP6+h1UVHxGQ0MhYCc+/nSUsrNx401UVi0jJCSdvNwHCQ/PZ8vWOyktfQtf37B2mXv2vkBh4V9pa2siMXEO2Vl3UVW1nE2bf0tzcwmRkaPIz3+cgwe/97gmR5z2sSbCz9ct+AWCfXx4sLCkPcz1QIuNrw7VEunnS7XL4MTT446/waq9Nm2eiIwDFiqlTjf3bwdQSt3vkudjM89SEfEDSoF+qhOl3KfNS7vtA6/5Lh2bwqLlzvCN6BB/7jwnj5tft36JvTB/NNe8tLJ9bmmAO87OZfGKvWwvd3rAZuTGkxgZzMvLdrenxYYGcMc5udy02CrzxStH8z//9JT52g972HnAGVM9LSeexMggDz1TQlpZ6+W9cNhp8xZ28IANnwtrX3PuhyfClNvhvRus+X72Biy60Dm3NBgG9ZLHjYGHDoacb4SSrH3VRWYSTL0d3v2lm8w3YdEFbjL/DEv+5kVmoKeetR1U9IWde1qG/tN7V+Fpqafxye5P2vcHhg/kstzLuO+H+9rTfMSHv0/7Ows+X2A59u7xd/PE6icob3T2HpyXcR4NrQ1dkznj7yz41E3mhLt54seuyXSEj7iz/orOVxfbnOM5RRkihE6YQP13znjWgPR0ImfN4sBf/uLM5+dH8uN/pfh66xLyiQ89SPm999Hm4vmOnjePluK91H/j7PoPzMwgctYsyv/8iFXmE09QvMBaFkkPPUjpvfdZvOlRcy+hdW+xh562pibs+/bhTu6WzR5prjy5wDNEJjY5FP8AP0p3VbukhZGWH8uqj5zPqI+fcOr8PD5+1jo15alX5/HVK1tpbXY29gWnplBeVMP+7c4elvjUcAbmxbDqv24yrxzCx/+wfvScelUeX76yBVuLs94MnzaQ0sJqyly87LEDwggM9WX/Ns/68IunOu/CfeTic7ymJwzOpGyXM4QrOS+f/ulZljAP/6BgzrjuRt579H7LsbN+cycfPPqgZX7rcRfMo3DNSkp3OA2YgXlD6Z+RxYp3navDBQQHc/qCX/Heow9YZd56Bx/89SE3mXPZ9eNKDz2LN3l+PALcsvh9r+kOim/71jOxfyB+Nh9sFc4wlcCMKPxigqj/wfnxJkG+RJ2bTuW/rQZa7BV5HHx5M67L60aemUb9j+XYypxeuaDsaHyjg6hf5mzrJNiPqHMHU/m6VWbMZbkcWrTZMqgm4rRUGn4s99CzubAKvPhmkh+Y1HFBAAsXLvRIS01Npbq6mqoq5/Ocm5tLQEBAu5cZjAVcpk2bxrvvWj27l156Ka+++iqur/YzzzyTZcuWWTzHeXl5BAQEsMalt6kzmYsWLbKknXHGGSxbtsxDz82bvbcL3q7Vlc+/8BwAnxB/BZVVH9LS4gwZTUiYid3ezIEDzhVBAwMTSUm5hu3b73Y5Whg+/FnWrrUO0M/JvpfCwsdpbnGOzerffzZ2ezPl5R+2pwUFJZMy8Gq2bXcNXRSGD3uGteuss4JkZ99DYeFfaWlxGhMJCedSVvae12udPm2n1/Te5vfbinlun6FjlJ8vf8tN4bL1hZY8IyNCuD8rmT8XllLRYuPixBjmD4g7ZjoeD9PmDQBcLYBiYGxHeZRSNhGpBmIBizkpItcC1wKkHGbQkYO1xdZQgcqGVr73MuDvs81lFsMXYEVRpcWYBlizt4rSGuvX6sH6Fq8yP93kTeYhizENsK64ivJa6wCRyoZWKnt6Ndp9boP4akuMhV3c2fKB1fAF2P291fAFY25p94GMtfuh8BsvMt/3InOJd5l+boNlOjKmu8G6Cuu8u3tr97KybKUlza7sXmOTl5cutxi+AOsPrKfeZr2vHcrc7UXm/q7L7FGUommD1fho2bmTxrVuXX82G3XfeBobDUuXWYxpgMb162nda9WzefsOGla7hWLYbNR9ZV05D6Bu6TKLMQ3QtGGjh8yWnTvBr+earsbaVqobrLG9B/fVERLh1sVqU+zd4tlLULyl0mJMA5QX1VBeZPUSl++uJSjM2lVutymKN3vG+BZvrbQY02AMqDxYbG2XDu6vIyqhZ+O/XY1UgNIdngOUW5saKVzjOTh416oVFsMXoGTHVosxbaRtw91v0tLY6DVkY9dqLzK3b+2Snt3iUDM2tyUOWkvqsDdZvbyqqY2mXZ4fNI1bDlmMaYDm3TUWYxqgZW8tvvVWb7JqtNG80zPcrXlbpccI9ZZ9dRZj2qGnN2P6aCktLaW52dq7s3//fo8Bi3V1dRQVFXkcv3XrVo/7vWfPHosxDbBv374jkunO3r17Lca0Q8+epLbuR4sxDVBbu9Fj5o7m5hKqq9zriKKi4nPcqaz6wWJMA9TUrPOQ2dRUTFW19d0CioqDX3nIrKpaaTGmDT03eeTra+7NSubixBj2NrUwKTqcCD9fRoSHsNolFGROQjTDw0N4uQ/nou4KvTmHjrf5odw9z13Jg1LqGaXUSUqpk/r169elk48dZJ1RISEikBl5CdaTC5w7PIkAt6mEJmTEkpdoXQJ1dFoMo9NiLGnx4YFMz/EmM9GLzDiGJFlljh0U61XPp37Ww0tSp4637kelGguxuCI+kH+BuSCLC+nTjPALi7wJXmSmQIY3mXO8yJzuReZE73qe7znIqDuclGD9yEyPTGd8kvW8fuLHmYPO9IhxnjxgMomh1kEQoxJGMSphlCVtcOTgrstMnkxSqHUe2o5k3pjb9Wn/DkfAhAmEjLV+3wYNH0boeOtiMxIURMTZZzsX7TEJnzED335WD0HI6NGEjB5tlZmfT+jJJ1tlBgZ2IHM6fm71O3TsGELcjg8aPoyoW24+zBV6J6q/p/GZNymR5Fxr3U7OjiYlz5oWGOJH9tgEj1Yr86QEAkOtz3hSVhRJWdbZVJIyo0jOscoMCPYjc4x3mcHhVuN7YG40A910Gpgbw5BJnouoxCR1ba52dxKGDGNAjnXwbHJePsm51tkFgsLCyRrrVl+B7HET8A+ylnFybj4DcvLc0oaQnGs9T1BoGJljPBc7yh43iYBgq8yBHegZENu190NXCDs9jYAU66D0wIxogjKsMxj5RgYQku82g49ASEE8uL0HgtKj8B9gjbkNHBRJ4GDrs+ITHkBwvpsHTiBkZDwS4CYzK9qrnj5De65L/IwzzsD93ZuWlkZaWpolLSoqisxMa9suIgwdOtRjufn09HTi4qzXmJqa6jH7xpHIzMjI8KpnfHzPzagyeNDPCQ5Os6TFRI8nJtpaH0JDs4iLm+Kmtz8JCbNwN73iYqcQFDTQkhYdNYboKOuCPyEh6cTGesrs3/88Syw1QFzcdEJCrDHiMTHjCQst8HJVPT8o+0gYFh7C2f2i2mfteGXYYK4b2I/T4yJ4NGcgVyf3XL3uTXwP1+VxtNx1112RwKyFCxe+Yu6fDdQuXLjwO5c8s4DVCxcuLDZDPu4A7u5Mp2eeeWbhtdde275/44wsHvvM6plYdccMJmf1o6ymmX1VjeQmRvCXiwqYmNmPQD9fdpTXEhcWyJ1n53HakP7k9I9g0/5qFPCzsalcPzWDcemxbCmppbKhhVOy4rl39lBOyepHSXUTew81kNM/gkcuGs7krH74+QjbymqJDgngjnPyOH1IIrn9I9joJnNCRhzbSmupbmxlWnY8fzovv0M93a/Jca2dMnwBLH/MmvbbIsMori6G6n2QVACzn4KMacanS8VWY1DiWQ8bAwnjsqF0vWEMj70Oxv8S0iZC2QZoqjYGJp71sCGzag9U74X+w0yZ0w1v9IGtxgwiZz5s5O9UZo1TZsZ0U89iY/Di7KcNPb96wPNap9zeaVFkBGXwyb5PLGlL5y5lfNJ4iuuKKa0vJT8un3sn3sv4AeNpbmumqLqIhNAE7hx3J5OSJ5EclsyWQ1vw9/Fn/pD5zMudx8iEkWw9tJW6ljpmpMzgt2N+y/ik8eyt3UtJfQn5sVaZhdWF9A/t3yWZ9a31zEidwW1jbvPQ876J9zEtfRpPrX3K41qvL7i+07IIv/RSqp57zpng40PGu+8QOnECrfv30XbwICEnnUTSffcSOm4cqqWZlj17CRg4kMQ/3UPYuHEEDEymeft2JCSEuOuvJ2rO+YSMHEnTlq3YGxuJOPtsEn59K6ETxtOyew+28nKCR4wg6f77CJ04AXtTEy27dxOQnEziPXcTNn48/klJNG/bhk9wMHHXX0f0nDmEjB5N8/btqOZmIs89l/hbbyF0gpue999H5KRJVLyyCFy8ZkkvvkBQcnKnZZE/OZnty0tpbjC8jKlDY5gyN4eUvBjqKptobrCRkhvD1MtySM6JwW5T1FY2EZMYxrTLc0nKjCYyLojKskaCw/wZd146GaPi6T84koP76miz2ckZl8jJswYzMCeWqrIGGmpaGJAZxbTLcknJi6Gt1U7toSZiEkOZfnkOA7KiiYgNoqqsgcAQP1NmAkmZ0VSWGfHRuROTGH3OIFLyYqivbqalsY2UITFMmZfNwOwYag41cmif0asRmxTKxXeMOeyc15WVlVQU7rCkXfPY06QNG8GhfXtprK0hdWgBp137S9KGjaSxtprqslJikgdyxvU3kjq0gMCQECr2FBEYGsakefPJGT+ZhMEZHCjaRVubjfyppzHhoktJHTqcir27aaiuJmXocE77+Q2kDR9FQ3UlVaUlxAxI5ozrbyJt2AiCQkOpKN5DYGgok+fNJ3vcJPqnZ3FgdyF2u52h009j3AXzvOo5buYclr9lnYVhwryrSfYW9uRCYEEcDUtcesRi/Oh3SR5BmdHYDjVhb2kjODeG6FnpBGVEY2+yYa9pIWBAGNEXZRM0OAoJ8sN2oAHf8ACizkknODcW/6QwWs25yEPHJRI+NYXA9EhaSxuwN9gIyoomenYmQVnR2OtaaasyY6AvyiYo3ZRZ0YhvmD9R56YTnBNLwMAIWg80Ij5C2IQBhE8a4FXP8OH9qf1+r8VTnXjveA8j1J3o6GhLzHFwcDBz5sxh0KBBHDhwgObmZnJycjjrrLNIT0+ntraWmpoakpKSmD17Nunp6YgIFRUVhIWFcdZZZ5GVlUV8fDxlZWWICCeffDLjx49n0KBBlJWV0dTURHZ2drvMmpoaqqurSUxM7FRmQkICZWVl+Pj4cPLJJzNu3Diveo4aNYrvvrP2yt5+++0eAxndiYyYSGnZv537kRPJyvw10THjaWjYhd3eREL8OWRk3E5s7ERamstpaakgMmIkebkPER09DlA0NBQRFJRETvbdxMZOIjRkMHX1WxHxJyXlWgYOvJzoqDHU1W3BZqsjPv4MsrLuJCZmEo1NxTQ3lxERPoy8vIeJiZkAQGO7zHuIjZlIaGgW9fXb8PEJJC11AcnJ84iJHk9DQxF2ezMJCeeSmXE7iYnnsWfPIsDR/eLL9Gmdh8oda0J8fZgSE8HshGiGhh+dc6Anueuuu0oWLlz4zOHy9WYMtR+wDZgO7ANWAPOUUhtd8vwCGKqUWmAOSjxfKXVRZ3LdY6g1Go1Go9FoNJreoM9jqM2Y6P8FPsaYNu95pdRGEbkbWKmUehd4DnhZRHYAh4BLeksfjUaj0Wg0Go2mN+jVeaiVUh8CH7ql/cFluwm4sDd10Gg0Go1Go9FoepPeHJSo0Wg0Go1Go9Gc8GiDWqPRaDQajUaj6QbaoNZoNBqNRqPRaLqBNqg1Go1Go9FoNJpuoA1qjUaj0Wg0Go2mG2iDWqPRaDQajUaj6QbaoNZoNBqNRqPRaLqBNqg1Go1Go9FoNJpuoA1qjUaj0Wg0Go2mG2iDWqPRaDQajUaj6QbaoNZoNBqNRqPRaLqBNqg1Go1Go9FoNJpuIEqpvtbhiBCRA8DuvtYDiAMq+lqJ4wRdFk50WTjRZeFEl4WBLgcnuiyc6LJwosvCyfFSFqlKqX6Hy/STM6iPF0RkpVLqpL7W43hAl4UTXRZOdFk40WVhoMvBiS4LJ7osnOiycPJTKwsd8qHRaDQajUaj0XQDbVBrNBqNRqPRaDTdQBvUR88zfa3AcYQuCye6LJzosnCiy8JAl4MTXRZOdFk40WXh5CdVFjqGWqPRaDQajUaj6QbaQ63RaDQajUaj0XSDE9KgFpE2EVkjImtF5EcRGX8Mz50mIhuO1fmOFhFRIvKyy76fiBwQkfd7SP5CEbn1CI9Z0hPn7kS+EpFHXPZvFZGFPSg/TUQaRWS1iGwWkR9E5IouHDfFUe6dlVtPlI+I1LntzxeRJ47g+B59vt31ORbHi8hs81nIMfen9NRzf5jzHrZOiMiLInJBN87RreO9yEsQkVdFZJeIrBKRpSIyu6fknygcTdsiIgtE5HIv6T+Jd8jhcHkPbxCRf4tISF/r1FuISH8R+ZeI7BSRTSLyoYhceyzalU50elZE8o7BeY75fRaRp0VkgluaR9vneD+IiI+IPG7quF5EVojIoJ7W64Q0qIFGpVSBUmo4cDtwf18r1BEi4tdHp64H8kUk2Nw/FdjXR7oAoJTq7Q+fZuB8EYnrxXPsVEqNUErlApcAN4nIlT0h+BiUT48jIr59rYMX5gLfYdwfTQeIiABvA98opQYrpUZhlFnyEcg4Hu9/b3DEbYtS6iml1Eu9qFNf43gP5wMtwIK+Vqg3MOvJW8BXSql0pVQe8DsgoS/1Ukr9j1Jq0zE4VV/c57HAsiPIfzGQBAxTSg0FZgNVPa3UiWpQuxIBVAKISJiIfG56rdeLyCwzPc30KP5DRDaKyCcOQ1NERovIOtMz87DDc2Ae860py6sXXESCROQF81yrRWSqmT7f/JJ7D/jETPu1+dW0TkTuOjZFw3+Bs83tucBrLrpbvGnml12a+bfF/PrdICKLRGSGiHwvIttFZIyL/OEi8oWZfo0px+s9MH/rlreyC9gwBjnc5P6DiPQTkTfMe7DC8fVr6hglBgcdHiUReVlEZnR2MqXULuBm4AbzmFARed6Uv9r12t3IE5GvxPAK3uCiY6+Vj4iEi0ihiPib+xEiUiQi/iIySozenqXAL1yO8TXrhOO5/bmZPkVEvhSRV4H1ZtrbYng4N4rItW7nfsR8Hj4XkX5m2jWm3LXmfQkx0weZdXGFiNxzFNcZBkwArsZqUIeJyH/MZ3uR+ZLELIP7zHOuFJGRIvKxGJ6oBS5yvdZfEfm9iGwVkc+AbJd0r9dnMsNsW7aJyDlmfq/tjflcPiGGV+wDIP5Iy6QTpgEtSqmnHAlKqd1Kqb+JW8+GiLwvIlPM7ToRuVtElgPjROQss1y/E8NL5OiNGSMiS8y6sEREss30ztrNN0XkIzHalId68Fq7S2dtS6r5bK8z/6eY6e1tbCd17LDvmZ8I3wIZ4uZ9FxdPvtnmPShGz942EZlkpnttZ44jpgKtbvVkDcY1d9SujBKRr8028WMRSTTTOyqDDp99Efl/Ztu00a3t+UpEjvUczr1+n0UkF9imlGo7Ar0SgRKllB1AKVWslKo8ymvsGKXUCfcHtAFrgC1ANTDKTPcDIsztOGAHIEAaRoNYYP72OvAzc3sDMN7cfgDYYG6HAEHmdiaw0txOc8lzC/CCuZ0D7AGCgPlAMRBj/nYaRmMsGB857wOTe7mM6oBhwH9MndYAU4D3zd8XAre65N9gXpujrIaauq4Cnjd1nwW87XL8WiDYLOu9GF+IXu+BQ6djcM0RQBEQCdwKLDR/exWYaG6nAJvN7acwPjrygRXAP8z07UCYm/z2e++SFoXxBQ9wn8tzFQVsA0K9lPsSINAsn4OAf0+VD8664fjbAzxh/vYCcJ65fS3wiLm9DjjF3H4Y5/N9LXCHuR0IrAQGmddTDwxyOa/jWQ82n6VYc18Bl5rbf3DRJdbl2D8BvzS33wUuN7d/caRlAvwMeM7cXgKMNPWtxvC8+gBLXZ6FIuA6c/tRsyzCgX5AeWf1FxiF8UERgvHc7cCsU51c34vAR6acTIx2IoiO25vzgU8BX4z6VQVc0EP15Qbg0Q5+m++4V+b++8AUl3t6kbkdhFH3B5n7r+F81iMAP3N7BvCGud1Zu7kLo+4GYayYO7A324wjKKvO7vllUAAAC85JREFU2pb3gCvM7auwtpGO56GjOub1vv8U/jDrJkab/w5wHW5tpFs5fYWzzTkL+Mzc9trO9PX1uVyD13pCB+0K4I/R9vQz810MPH+YMujw2cfZtvqaxw9zkXXSiXafMZxUV3lJfxG3ts9Ft2SMurkGeAQY0Rtl0VfhBr1No1KqAEBExgEviUg+xgvvPhGZDNiBATi7ZQqV8VUJhpGYJiJRQLhSyhG7+ipwjrntDzwhIgUYRkqWFz0mAn8DUEptEZHdLvk+VUodMrdPM/9Wm/thGI3nN0dbAF1BKbVORNIwvNMfHsGhhUoph+dxI/C5UkqJyHqMiuTgHaVUI9AoIl8CY4AP8H4PSrt5OV1CKVUjIi9hNIKNLj/NwPAMO/YjRCQc44t7MkYD9v+Aa0VkAHBIKdUVj7G4bJ8GzBSn5z8Iw3h35wOlVDPQLCLlGOVT3KULPDztdQMMzwfg8GI8C/wGo5v/SuAaEYkEopRSX5t5XgbOdLmeYeKMW4vEeG5bgB+UUoUu571BnLG3A818BzGegcVm+ivAm+Z2voj8CePDIwz42EyfAMxx0eXBI7z+ucBj5va/zP0PTH2LAURkDcZz/J2Z713z/3qMj6haoFZEmsw2oqP6Gw68pZRqMOU65HR2fQCvK8OTsl1EdmEYlYV4b28mA68pw1uzX0S+OMLy6DIi8iRGm9YCPNlJ1jbgDXM7B9jl8iy8hvHiBON5+aeIZGIY4f5memft5udKqWpTn01AKobB3ud00raMw/jwAeOZtXjWD1PHuvKeOV4JNusSGO3ocxgffZ3hqP+rcL5LOmpnCjn+8dauVGE4aD413ze+QInLMd7KADp+9i8So9fPD8MTm4fxgXasONb3+XSM95M73qasM77wlSo2e8CmmX+fi8iFSqnPD6PnEXGiGtTtKKWWihHX1g/ja6gfhse6VUSKMIwaMGLgHLRheNJcjSF3bgLKgOEYX59NXvJ0dny9W777lVJPd5K/t3gX+DPG13SsS7oNa0hQkMu2a1nZXfbtWJ8p9wdcAZfS8T04VjwG/IjhkXXgA4wzPwDaEZFvMDyhKcDvMWKvLsBoOLrCCGCzQxwwRym11e0c7rF27s/iMamnSqnvza66UwBfpdQG02DsaG5NwfCsfmxJNLr+6932Z2CUb4OIfEXH99xxrhcxvOVrTaN/ipc8R4SIxGI0pvkiojBeZArjY7KzMnd9vt2ffT86qL8icmMnur5I169P0Xl701tzn27E+fGCUuoXZlu6ks7bhybl7I7trA28B/hSKTXb/LD/qgvH9EndOAK8tS3uuN8v8ZLmoCvvmeMVy8c7gIh09tyA8/663luv7cxxxEaMd4I3vD2vAmxUSo07zDEdtUPtv4kxsO5WYLRSqlJEXuTYv0+P2X0WIzQuSim138vPB4Fol7wxQIVj33RS/Rf4r4iUAecBPWpQn/Ax1GKM5PfFKOxIjG7aVjHi8lI7O1YZMTa1InKymeQacxmJMybnMvMc7nyDYUAiIlkYRtlWL/k+Bq4SI74TERkgIj0ZC9kZzwN3OzzOLhRhdIcjIiMxuvKPlFlixEPGYhgMKzjCe9AbmD0Dr2PE0Tr4BPhfx47pEUIptRcj9CJTGTHR32E0YIc1qE0j4c+Y3jaM+/xLlzi6Ed28lN7gJQwv4gsASqkqoFpEJpq/X+qS92PgOnHGXWeJSKgXmZFApWlM5wAnu/zmg/NlNA+nVzgcKDFlu57ze5z10DW9K1wAvKSUSlVKpSmlBmJ4PyYe5rjD0VH9/QaYLSLBZm/HuS7HdHR9ABeKMSo9HRiM0WZ01N58A1xixh8mYsRz9hRfAEEicp1LmiPWuwgoMPUciNH75I0twGCzLoDRve0gEudA6Pku6V1tN487OmhblmB9Zr9zO6azOtaV98xPiTIgXkRiRSQQZ49vZ3S1nekrvgACxRwnBMbYK+CUDvJvBfqZveeIMU5lyFGeOwLDeVFtOmbOPEz+Y0Vv3eepwJcdHP8VcLGIBJj78x15xRj7kmRu+2CEu+7u+uV0jePt676ncO2CEIz4tTYRWQS8JyIrccZYH46rgX+ISD3GDas20/8OvCEiF2LctHovx/4deMoMhbAB85VSzS5hBQAopT4RI9B+qflbHUasZ3lXL/hoMbuj/urlpzeAy81yXIER73uk/IDRnZ4C3KOU2n+U96A3eAQXAxqjm/ZJEVmHUS++wTlaeTnOF9m3GLPGWF6KLqSLyGqML/Ja4G9KKYe36h4MD9Y606guomsNzbFkEUZM72suaVcCz4tIA9bQhGcxuut+NK/nAMZXvzsfAQvMst2KdXR2PTBERFZh1C2HwXUnRrnvxgi1CDfTfwW8KiK/whlW0FXmYoyDcOUNjJi/nUcoq52O6q9S6kcRWYzxnO/G+hHW0fWBUUZfY4T6LFBKNYlIR+3NWxhe9/UYdfRreggzjOs84FER+Q3G/a0HfovxYVNonncDhlfWm4xGEbke+EhEKjDaBAcPYYR83IxhlDjoUrt5HOOtbXleRH6NUYbeuqs7qmNdec/8ZDAdKXdjPPuFdK3972o70yeY9WQ28JiI3IbRi1CEETrnLX+LGGENj4sR7uOH8V7YeBTnXmu+bzZixFh/f3RX0bP04n0+E2Pcl7dzvi8io4BVItKG0aY73uHxGHZcoLn/A9Dl6WK7il4p8TCISJgjVtasLIlKqV/1sVoaTa9gNvSzlFKX9bUumhMDRxtqviSfBLYrpR7ta700Gs1PCxH5ERirlGrta128caJ6qHuSs0Xkdoyy2o21a1KjOWEQkb9heADO6mtdNCcU14ixwFEAxsDNvhgrotFofuIopUb2tQ6doT3UGo1Go9FoNBpNNzjhByVqNBqNRqPRaDS9iTaoNRqNRqPRaDSabqANao1Go9FoNBqNphtog1qj0WiOMSLSX0T+JSI7RWSTiHwoIpNF5D/m7wUictjBoSKyUJwrb/a0jlNEZLzL/gIRubw3zqXRaDQ/dfQsHxqNRnMMMaePewv4p1LqEjOtAAhXSjkWuSnAWBL+w77REjAWY6rDWJgEpdRTfaiLRqPRHNdoD7VGo9EcW6YCra4GqlJqDbBXRDaYK33djbHq1xoRuVhEtotIPzBW+hKRHWIsA+4VEbnZlLVBjCXQHemXi8g6EVkrIi+baeeKyHIRWS0in4lIgrmy4QLgJlOHSa7ecNODvsyU9ZaIRJvpX4nIgyLyg4hsE5FJPV14Go1GczyiDWqNRqM5tuQDqzr6USnVAvwBWKyUKlBKLQZewbkk9QxgrVKqwtvx5mphVwJjMZZ5v0ZERoixvPHvgWlKqeEYq06CsernyUqpEcC/gN8opYqAp4BHTR2+dTvNS8BvlVLDMFZL/KPLb35KqTHAjW7pGo1Gc8KiQz40Go3m+Od54B2MJYqvAl7oJO9E4C2lVD2AiLwJTAIU8B+HIa6UOmTmTwYWi0gixuIrhZ0pYi6XHKWUcixz/k/g3y5Z3jT/r8JYSlij0WhOeLSHWqPRaI4tG4FRR3KAUmovUCYi0zA8z//tJLt0ku5tJa+/AU8opYYCPweCjkQ3LzSb/9vQThuNRvN/BG1QazQazbHlCyBQRK5xJIjIaCDVJU8tEO523LMYoR+vK6XaOpH/DXCeiISISCgwG/gW+By4SERizXPGmPkjgX3m9hWH0QGlVDVQ6RIffRnwtXs+jUaj+b+ENqg1Go3mGKKUUhhG7qnmtHkbgYXAfpdsXwJ5jkGJZtq7QBie4R53iEix408p9SPwIvADsBx4Vim1Wim1EbgX+FpE1gJ/MY9fCPxbRL4FXOOy3wNmOwYlup3zCuBhEVmHMSPJ3UdVGBqNRnOCIEbbrtFoNJrjGRE5CWOQoJ45Q6PRaI4zdHybRqPRHOeIyG3AdThn+tBoNBrNcYT2UGs0Go1Go9FoNN1Ax1BrNBqNRqPRaDTdQBvUGo1Go9FoNBpNN9AGtUaj0Wg0Go1G0w20Qa3RaDQajUaj0XQDbVBrNBqNRqPRaDTdQBvUGo1Go9FoNBpNN/j/UfRGthaa3LQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# top_city is the cities which have maximum funding.\n",
    "top_city = city_df.index\n",
    "temp_df = df_startup[df_startup['CityLocation'].isin(top_city)]\n",
    "temp_df = temp_df[['CityLocation', 'AmountInUSD']]\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.swarmplot(data=temp_df, x=temp_df['CityLocation'], y=temp_df['AmountInUSD'])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* As one can see there are so many outliers in Bangalore and in New Delhi."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ====================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FUND ANALYSIS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q12). Funding distribution in Indian Startups over Years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AAGveXRbl7j6zu09O8pAkH0jykiT3rarXVtUJK5QPAAAmsZQP893Y3W/t7iclOSTJhUleOnoyAACY0FJuOPIt3X1Nd7+uu92+GgCANW2nijIAAOwuFGUAABigKAMAwABFGQAABijKAAAwQFEGAIABijIAAAxQlAEAYICiDAAAAxRlAAAYoCgDAMAARRkAAAasnzoAAMA8O+1Dpy359VP/06ljx2EFmVEGAIABijIAAAxQlAEAYIA1ytxtf735swPbbshPbHzQBGkAAJaXGWUAABigKAOsYrded8XUEQDWLEUZYJW66dItufyPH5+bvnD+1FEA1qTRinJVPaCqzqmqi6vqE1X1orHGAtjd9G235ur3vjxJ55r3/kb6tlunjgSw5ow5o3xrkv/W3T+Q5Jgkv1hVDx1xPIDdxvX/+pe57carkyTbbrg615/3tokTAaw9oxXl7v5yd58/e3x9kouT3H+s8QB2F9tuuCrXnvN/0t/8RpKkv/mNXPuPp2XbDVdNnAxgbVmRNcpVdViSo5J8dOC1TVW1uao2b926dSXiAKxqN170t+nedodt3dty40V/N1EigLVp9KJcVfsleXeSF3f3dXd+vbtP7+6N3b1xw4YNY8cBWPX2fdgTU7XuDtuq1mXfh500USKAtWnUolxVe2ahJL+1u98z5lgAu4t1+x2cez72l1J73iNJUnveI/c87tSs2+/giZMBrC1jXvWikrwhycXd/UdjjQOwO9r/6P+SdfsdlGShOO//w6dMnAhg7RlzRvnYJD+T5LiqunD29cQRxwPYbdQe63Pgk1+VpHLgU16V2mP91JEA1pzRfrJ29z8nqbGOD7C72/t7H5lDf+vjU8cAWLPcmQ8AAAYoygAAMEBRBgCAAYoywCp269cunzoCwJqlKAMAwABFGQAABijKAAAwQFEGAIABijLAKnXTJefl1q99KTddct7UUQDWJEUZAAAGKMoAADBAUQYAgAGKMgAADFCUAQBggKIMAAADFGUAABigKAMAwABFGQAABijKAAAwQFEGAIABijIAAAxQlAEAYICiDAAAAxRlAAAYoCgDAMAARRkAAAYoygAAMEBRBgCAAYoywCp048fem23XXv6trxs/9t6pIwGsOYoyAAAMUJQBAGCAogwAAAMUZQAAGDBaUa6qN1bVlVV10VhjAADAWMacUX5zkhNHPD4AAIxmtKLc3R9Mcs1YxwcAgDGtnzpAVW1KsilJDj300InTsBSvO/tjS379BSc8fOw4AACjmPzDfN19endv7O6NGzZsmDoOAAAkmYOiDAAA80hRBgCAAWNeHu5tST6S5Iiquqyqfm6ssQAAYLmN9mG+7j5lrGMDAMDYLL0AAIABijIAAAxQlAEAYICiDAAAAya/Mx/z6xVnfHiUY/z2ycfu8nFhd3TtP/3pkl+/53/+hbHjAKx5ijIAQJLf/LvfHO0Yv3vS7+7ysVl5ll4AAMAARRkAAAYoygAAMEBRBgCAAYoyAAAMUJQBAGCAogwAAAMUZQAAGKAoAwDAAEUZAAAGuIU1wJy5+r0vH+0YBz3lVbt8bIDdhRllAAAYYEYZAFizXvDOF0wdIcnO5XjdM143YhJ2hqK8m3n+a8+eOsJOZfiznz9hxCQAAHfN0gsAABigKAMAwABFGQAABijKAAAwQFEGAIABijIAAAxweTiAFXDFW547dYQkO5fjvs9+04hJAOafojynnvT775k6wlwY8+/hb172U6MdGwBY/Sy9AACAAYoyAAAMsPQCAJjcU9/01KkjzI2x/i7OfO6Zoxx3LVOUAbZz+WueMHWEuTHW38X3vOisUY4LsNxGLcpVdWKS1yRZl+T13f0HY453Vx75q38+xbDMudX272LL//rZqSMAwG5ltKJcVeuS/EmSxye5LMl5VfW+7v7kWGMCAMmxpx07dQTm0Gr8d/HhUz886fhjzigfneQz3f25JKmqtyd5SpIVLcrnnntuvvkl3ZzV79xzz80xxxwzdYwlO/fcc/Mfpz9v6hjMo+c9dOoEO+3Bm964as6/c889Nzd/+uapY8CymPp335hXvbh/ki9u9/yy2TYAAJh71d3jHLjqGUme0N3/dfb8Z5Ic3d2n3mm/TUk2Jcmhhx76yEsvvXSUPAAAu+rtF7w9r/vI63LLtlu+tW2vdXvlhT/ywpx85MkTJmNnVNWW7t64o/3GnFG+LMkDtnt+SJLL77xTd5/e3Ru7e+OGDRtGjAMAsGtOOOKE7FF3rE971B55/IMfP1EixjRmUT4vyfdX1QOraq8kz0zyvhHHAwAY1YH7HJjnH/P87L1+7yTJ3uv3zqZHb8qB+xw4cTLGMFpR7u5bk/xSkrOSXJzkHd39ibHGAwBYCU9/+NNz0L4HJUkO2vegPO2HnjZxIsYy6i2su/tvu/vB3f2g7v69MccCAFgJ6/dYn5cd/7JUKr/xuN/I+j3cv22t8l8WAGAnHXn/I3Pmc8/Mhv18vmotG3VGGQBgrVKS1z5FGQAABijKAAAwQFEGAIABijIAAAxQlAEAYICiDAAAAxRlAAAYoCgDAMAARRkAAAYoygAAMEBRBgCAAYoyAAAMqO6eOsO3VNXWJJdOnYO75eAkV00dAnZDzj2YjvNv9fre7t6wo53mqiizelXV5u7eOHUO2N0492A6zr+1z9ILAAAYoCgDAMAARZnlcvrUAWA35dyD6Tj/1jhrlAEAYIAZZQAAGKAoM6iqHlBV51TVxVX1iap60Wz7gVX191X16dmf955tf0hVfaSqbq6qX7nTsS6pqn+rqguravMU7wdWi2U+9+5VVe+qqk/NjvfoKd4TrBbLdf5V1RGz33m3f11XVS+e6n1x91l6waCqul+S+3X3+VW1f5ItSX4yyXOSXNPdf1BVL01y7+7+71V1nyTfO9vnq9396u2OdUmSjd3tWpOwA8t87r0lyYe6+/VVtVeSfbr7ayv9nmC1WM7zb7tjrkvypSSP6m73ilhlzCgzqLu/3N3nzx5fn+TiJPdP8pQkb5nt9pYs/HBId1/Z3ecl+eYEcWHNWK5zr6oOSPKYJG+Y7XeLkgyLG+l33/FJPqskr06KMjtUVYclOSrJR5Pct7u/nCz8QElynyUcopOcXVVbqmrTWDlhrdnFc+/wJFuTvKmqLqiq11fVviPGhTVlGX733e6ZSd623PlYGYoyi6qq/ZK8O8mLu/u6u3mYY7v7EUlOSvKLVfWYZQsIa9QynHvrkzwiyWu7+6gkNyZ56TJGhDVrmX73Zbbk6clJ3rlc2VhZijJ3qar2zMIPird293tmm6+YreG6fS3XlTs6TndfPvvzyiRnJjl6nMSwNizTuXdZksu6+6Oz5+/KQnEGFrFcv/tmTkpyfndfsfxJWQmKMoOqqrKwtvHi7v6j7V56X5Jnzx4/O8l7d3CcfWcfiMjsf/uekOSi5U8Ma8NynXvd/ZUkX6yqI2abjk/yyWWOC2vKcp1/2zklll2saq56waCq+tEkH0ryb0lum21+WRbWar0jyaFJvpDkGd19TVV9d5LNSQ6Y7X9DkocmOTgLs8jJwv8K/svu/r2Veh+w2izXudfd11XVkUlen2SvJJ9L8tzu/upKvh9YTZb5/NsnyReTHN7d167sO2G5KMoAADDA0gsAABigKAMAwABFGQAABijKAAAwQFEGAIABijIAAAxQlAF2E1W1buoMAKuJogwwh6rqd6vqRds9/72q+uWq+tWqOq+qPl5Vv73d639VVVuq6hNVtWm77TdU1e9U1UeTPHqF3wbAqqYoA8ynN2R2y9yq2iPJM5NckeT7kxyd5Mgkj6yqx8z2f153PzLJxiS/XFUHzbbvm+Si7n5Ud//zSr4BgNVu/dQBAPhO3X1JVV1dVUcluW+SC5L8cJITZo+TZL8sFOcPZqEcP3W2/QGz7Vcn2Zbk3SuZHWCtUJQB5tfrkzwnyXcneWOS45P8j+5+3fY7VdWPJXlckkd399er6gNJ9p69fFN3b1upwABriaUXAPPrzCQnZmEm+azZ1/Oqar8kqar7V9V9ktwzyVdnJfkhSY6ZKjDAWmJGGWBOdfctVXVOkq/NZoXPrqofSPKRqkqSG5I8K8n7k7ywqj6e5N+TnDtVZoC1pLp76gwADJh9iO/8JM/o7k9PnQdgd2PpBcAcqqqHJvlMkn9QkgGmYUYZAAAGmFEGAIABijIAAAxQlAEAYICiDAAAAxRlAAAYoCgDAMCA/w+rkG9xr9OqMwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Converting some Dates into its proper format, as they were entered wrong.\n",
    "def convert(x):\n",
    "    if x=='12/05.2015':\n",
    "        return '12/05/2015'\n",
    "    elif x=='13/04.2015':\n",
    "        return '13/04/2015'\n",
    "    elif x=='15/01.2015':\n",
    "        return '15/01/2015'\n",
    "    elif x=='22/01//2015':\n",
    "        return '22/01/2015'\n",
    "    else:\n",
    "        return x\n",
    "\n",
    "df_startup['Date'] = df_startup['Date'].apply(convert)\n",
    "\n",
    "# Need to convert string into datetime format object.\n",
    "df_startup['year'] = (pd.to_datetime(df_startup['Date']).dt.year)\n",
    "df_startup.head()\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.boxenplot(data=df_startup, x='year', y='AmountInUSD')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* There is no outliers in 2016 as compare to 2015 and 2017.\n",
    "* In 2017 we are getting left skewness , means many large amounts were invested in 2017."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ===================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q13). Number of startups over months and over years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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jCWYCvwN+TXalFX/pSethKZS2UHNr+55kJfAEssWkJVWmZ4HfAr8uteXvSh1GqjSWQmkzNLe2781LU8OvSBxH0qZ7gpcKYjF1GKkSWAqlfmpubW8GPgy8D9gpbRpJA+hhsuMPf1Nqyz+SOoyUiqVQ2oDyOoLHAR8lW0zak0Wk2nYfWUG8qNSWfy51GGkoWQqldWhubd8N+AjQAkxKHEfS0OsB/gz8mGwdRM9gVs2zFEplza3tI8mOEfwo2XWGJQngaeAc4LxSW35e6jDSYLEUqu41t7a/iqwIvh/YJnEcSZWri2x5mx+X2vI3pg4jDTRLoepSc2v7VsC/kJXBAxPHkVR9isDZwIWltvyS1GGkgWApVF1pbm3fh6wIvg8YmziOpOq3FLiYbPTwvtRhpC1hKVTNa25tD8Dbgc/jqKCkwXML2Ykpl5Ta8itTh5E2laVQNau5tb2JbETw88AeieNIqh/zgfOBH5Ta8s+nDiP1l6VQNae5tX0U2XIypwE7JI4jqX51AT8H2kpt+acTZ5E2ylKomtHc2j4e+BTwaWBi4jiStFo32XGHXy+15R9LHUZaH0uhql5za/tU4P8BHwfGJI4jSevTS3a1lK+V2vIPpg4jrc1SqKrV3Nq+K9nxgicDwxPHkaT+isDlwFdLbfl7U4eRVrMUquqUl5X5L+CdQEPiOJK0Jf5EVg5vTx1EshSqajS3th8EFICjEkeRpIH2d7JyeEPqIKpflkJVvObW9l2A/yEbGZSkWnYdWTm8OnUQ1R9LoSpWc2v7NsAXgX8FhiWOI0lD6WbgP0tt+VtTB1H9sBSq4jS3to8gW1bmv4FxieNIUioR+CXw+VJb/oXUYVT7LIWqKM2t7e8Bvg7smDqLJFWIZWSH0Hy71JZfkTqMapelUBWhubX9YOA7wP6ps0hShXoG+FypLf/b1EFUmyyFSsqTSCRpk90AfKbUlr87dRDVFkuhkvAkEknaIr1k11X+QqktPydxFtUIS6GGVHNr+3Cyk0hOx5NIJGlLLQbOBH5Qast3pQ6j6mYp1JBpbm3fHzgP2CN1FkmqMU8Ap5Xa8n9IHUTVy1KoQdfc2j4K+BpwKl6WTpIG01XAqaW2/EOpg6j6WAo1qJpb248AfgbsnDiKJNWLLrJLgn6z1JbvSZxFVcRSqEHR3Nq+NfBN4ONASBxHkurRbUBLqS3/aOogqg6WQg245tb2twDnADukziJJdW4F8AWyE1H8ha8NshRqwDS3to8Hvge0pM4iSVrDdcAHS235p1MHUeXyoH8NiObW9uOBh7AQSlIlOhy4v7m1/eOpg6hyOVKoLdLc2j4J+CHw7tRZJEn9ciXw4VJb/oXUQVRZHCnUZmtubX8f8CAWQkmqJm8GHmhubT85dRBVFkcKtcmaW9u3IjuR5P2ps0iStsjvgY+X2vJzUwdRepZCbZLm1vZdgcuAV6XOIkkaEC8Cnyy15X+XOojSshSq35pb298JnA+MTZ1FkjTgfgZ8qtSW70wdRGlYCrVRza3tTUAb8J+ps0iSBtVdwAmltvwzqYNo6FkKtUHNre1TgN8Ah6XOIkkaEvOBk0pt+StTB9HQshRqvZpb2w8jK4RTUmeRJA2pXrLrJ5/plVDqh6VQ69Tc2v5Z4OtAU+oskqRk2oH3l9ryi1IH0eCzFGoNza3tY4GfA+9IHEWSVBmeAI4tteUfSR1Eg8tSqH9qbm1/NXApsGvqLFK9ir09zLrgP2jaegKTTvwS8/74LbpmP0FoaGT4drsx4c2fIjQ2sezRm+i44WIaRo1h4jtPp3HUWFYtnMWi63/BxOM+n/pjqPZ0AO8tteX/kjqIBo9XNBEAza3tJwG3YiGUklpy5xUMmzD9n38es8cRTP3I2Wz3obOI3V0svf9v2fNuv5wpJ3+b0Xu+kWUPXQfAohsuZNyhrimvQZED/tTc2u4qFDXMUiiaW9s/B1wEbJU6i1TPuhe/yIqn7mDMa4/+52Ojdn49IQRCCIzYbje6l7yYbQgNxJ5VxO5OQkMjK597gMbR4xm2zfaJ0qsONADfbm5tP6+5tX146jAaeJbCOtbc2h6aW9u/BfxP6iySYOHVP2HcER8ihPCybbGnm2UP/oNRO+4DQO7g9zL3t19kZeleRu9xOB03/4bcwe8d6siqTx8ErmlubZ+UOogGlmeW1qnm1vZGstXrT0kcRRKw/InbaRg9jhFTdmHls/e/bPuCv/2IEdP2ZOT07AqTo3bcm1E77g3A0uLVjNp5X7rnP8+C2y+jYeQYxr/pYzQMGzmkn0F15WDglubW9iNLbflS6jAaGI4U1qHm1vaRZNcvPiVxFEllnS88xIrHb+P5H3+IeVd8k5XP3M+Lf/w2AItu/CU9KxYz/siPvOx1vatWsvSBq9l67zwLr7+ACW/9DMOn7MKyB68d4k+gOrQTcH1za/tuqYNoYDhSWGeaW9tzwBV4hRKpoow//BTGH34KACufvZ/Ft1/OtseexpL7rmTl03cz6T1fI4SX/zt+8W2XMnbftxMam4irurIHQwOx28vXakhMJyuGR5Xa8sXUYbRlHCmsI82t7ZOBa7EQSlVjwZVn0bN8EbMvOo2Z53+aRTf96p/bupfMp2v2E2y16wEAjN3vHcy+8DSWPXA1o/c4IlFi1aHJwLXNre2vSx1EW8Z1CutEc2v7jsDfgZ1TZ5Ek1aTFwFtLbfmbUgfR5nGksA6UF6W+CQuhJGnwjAWubG5tPzJ1EG0eS2GNa25tPwS4HtgudRZJUs0bTbbIdT51EG06S2ENa25tfxvwN2Bc6iySpLoxEri8ubX9xNRBtGkshTWqubX97cDlwKjUWSRJdWcY8Ovm1vYPpA6i/rMU1qDm1vY3AL/FJYckSek0Aj9vbm3/ROog6h9LYY1pbm1/Pdk6hCNSZ5Ek1b0A/Li5tf3fUwfRxrkkTQ1pbm3fE7gOmJA6iyRJfUTg3aW2/O9SB9H6WQprRHkdwhuBqamzSJK0DiuBN5ba8rekDqJ1c/q4FhRyk49tuPn/ILrsjCSpUo0E/tDc2u6auRXKkcJqV8iNJpsyfl1PbJh1S+8ej/1v9zsm3h5fuUfqaJIkrcNjwIGltvyC1EG0JkthNSvkGslOKnnr2pu6YlPpmt69Sz/ofuf0h+MM/1UmSaokNwBHldrynamD6CWWwmpWyJ0DfGxjT1sehz/6p54DZv1fzzt2eTZOnjYEySRJ2phfASeV2vIWkQphKaxWhdwXgK9tyktiJC5mqwcu6Tli4dndb3vli4ybOEjpJEnqj6+V2vKnpw6hjKWwGhVy7wMuIlv/abPESM88cvde1H3UivN73vzqJYzODVxASZL67cOltvx5qUPIUlh9CrlXA7cxgJevi5HO5+LEe87tOSb+pucNe61khJfGkyQNlW7gmFJb/qrUQeqdpbCaZGca3wm8YrDeIkaWPBan3X9297HD/9h74F7dNA0brPeSJKmsAzik1JZ/IHWQemYprCaF3AXAkF1cvDeGBffFnR74v+7jx17Tu/drIg2uaylJGizPAvuW2vLzUgepV5bCalHInQKcn+rtXQNRkjQE/lhqy789dYh6ZSmsBoXcHsAdwFapo4BrIEqSBtXHS235n6QOUY8shZWukNsKuB3YM3WUdXENREnSAFsG7F1qyz+eOki9sRRWukLuXOBDqWNszOo1EH/Xc/iCH3cfu4drIEqStsDtwMGltnx36iD1xFJYyQq59wMXpo6xqWKk50Vy917U/aYV5/W8xTUQJUmb46ultvwXU4eoJ5bCSlXI7U62/MyY1FG2RIx0Ph+3vfe8nmN6f9XzRtdAlCT1Vw9waKktf0vqIPXCUliJCrmRZAtUvyZ1lIEUI0sfi9Pucw1ESVI/PQW8ttSWX5o6SD2wFFaiQu4s4F9TxxhMvTEsuD/u9OBZ3cdtfVXvPq6BKElan/NLbfmKP7a+FlgKK00htx9wC1A3JaknNsy6tfeVj/1v9zsm3hb3cA1ESdLaTii15S9LHaLWWQorSSHXQDZtvG/qKKl0xcZnrund52nXQJQk9TEfeHWpLT8rdZBaZimsJIXcx4GzU8eoFK6BKEnq40rgmFJb3uIySCyFlaKQmwA8BmyTOkqlcQ1ESVLZyaW2/EWpQ9QqS2GlKOR+Anw0dYxK5xqIklTXngN2L7XlV6QOUosshZWgkHs9cCt1dHLJQHANREmqS2eU2vJnpg5RiyyFqXlyyYCIkaWPx+3vO6f72OF/6D3INRAlqXYtBXYtteVnpw5SayyFqRVyHwPOSR2jlrgGoiTVvHNLbfmPpA5RayyFKWUnlzwKTEgdpVa5BqIk1aReYO9SW/7+1EFqSVPqAHXu61gIB1Vj6N3u4MYHtzu48UG6YuMz/+jd++kfdL9z+kOx2TUQJal6NQDfBd6UOkgtcaQwlUJub+BOPLkkiRVx+GPtvQfM/GH38bs8E6e4BqIkVadjS235P6UOUSsshakUcpcAJ6aOUe9iJC5hqwd+13PYwh93H7vHPMZvmzqTJKnfHiG70kl36iC1wFKYQiG3M9lC1Y4SVhDXQJSkqvSBUlv+wtQhaoGlMIVC7sfAJ1LH0Pq5BqIkVY2HgT29/N2WsxQOtUJuEvAMMDJ1FPWPayBKUsU7odSWvyx1iGpnKRxqhdxXgdNTx9DmcQ1ESapId5Xa8l4EYgtZCodSITcaeBbYJnUUbbmeGGbf2rvHo66BKEkV4S2ltvyVqUNUM9cpHFofwUJYMxpDnHJw44NTXANRkirCFwBL4RZwpHCoFHJNwBPAjNRRNLhcA1GSktmr1Ja/L3WIauVI4dB5DxbCujAqdO12YuP1u53YeD2L41bF3/UctuDs7mP3mMv4iamzSVKN+wTwydQhqpUjhUOlkLsPeE3qGEojRnrmM/a+i3retOy87re8ZjFjXANRkgbeEmBqqS2/NHWQamQpHAqF3JuBv6aOocoQI50vsO2953Uf0/OrnjfutYIRW6XOJEk15BOltvw5qUNUI0vhUCjkfg38S+oYqjwxsvSJuP39Z3cfO8w1ECVpQNxbasvvnTpENbIUDrZCbiQwDxiTOooqW29k4f1x5wdcA1GSttgBpbb8balDVBtPNBl8x2AhVD80BMbvFZ489KfDv+saiJK0ZU4GLIWbyJHCwVbIXQy8L3UMVS/XQJSkTTaH7IST3tRBqomlcDAVciOAucDY1FFUG1wDUZL67Y2ltvw/UoeoJk4fD66jsRBqALkGoiT127sBS+EmcKRwMBVyvyA7rkEaNK6BKEnrNJdsCrkndZBqYSkcLIXccLJjGsaljqL6ESNdL7DtPa6BKEkAHFVqy1+VOkS1cMmLwfMmLIQaYiEwfFp4cf8vDrvwoIdGfLD378NPu+nExutub6J7VepskpTA21IHqCaWwsFzYuoAqm8hMGbXhpkHf3vYOfs9NuIDS/8w/PQbjm64455Ar2fjSaoXR6UOUE2cPh4Mhdwwsqnj8amjSGvriWH2bb2vfPR/e96x7a29e+6ZOo8kDbJppbb8C6lDVAPPPh4cB2MhVIVqDHHKQY0PTTmo8SFWxcZnrnENREm17U3ABalDVANL4eDYL3UAqT+GhZ4Zb268c8abG+90DURJteooLIX9YikcHPumDiBtKtdAlFSjjkwdoFp4TOFgKOSeBHZKHUPaUq6BKKlGvKLUln80dYhKZykcaIXceGBB6hjSQHMNRElV7KRSW/6XqUNUOpekGXivSx1AGgxrrYEYXQNRUhXxsK5+sBQOPP/DU80LgdGugSipijhg0w9OHw+0Qu4SXLhadco1ECVVqCVArtSWt/RsgGcfDzxHClW31l4D8R+9ez39g+53Tnsw7rhL6myS6trWwO7AI6mDVDJHCgdSIbcNMD91DKnSrIjDH/9z7/4v/G/3O1wDUVIq7y215X+dOkQlc6RwYDlKKK3DqNC16wmNN+x6QuMNLI6jHri057D5Z3cf+8o5bDMpdTZJdcOrNm2EpXBgeSCrtBFjw4pXfbDpSk5pvLJnPmPvdg1ESUPE9YM3wlI4sHZNHUCqFiHQuC2L9/lM02Wc2nhZ1wtse5trIEoaRJbCjXBJmoE1IXUAqRq5BqKkIWAp3AhPNBlIhdxNwEGpY0i1ojeysBh3euDT4/Y3AAAf+0lEQVSs7uPG/L33da+NNPgPWUmbqxcYVWrLd6UOUqmcPh5YjhRKA6ghMP614alDfzL8e66BKGlLNQA7AE+kDlKpNlgKQwgNwAExxpuHKE+12zZ1AKlWuQaipAEwEUvhem10+jiEcEuM8cAhylO9CrkGYBUepykNqdVrIP6w+/idS3G76anzSKpo+VJb/s+pQ1Sq/kwf/y2EcAJwWfQAxA0Zh4VQGnKugShpE4xPHaCS9acU/j9gNNAdQlgJBCDGGMcOarLq49SxlNjaayBe3HPksnO7j3ENREmrWQo3YKOlMMa49VAEqQGeZCJViNVrIJ7adDn/3nh510wm3H5e9zHdv+w50jUQpfpmKdyAfp19HEIYT7Yw88jVj8UYrx+sUFXKUihVoBAYvj3z9ztj2EWc3nTRsifj1JvP6XnbsMt7Dtmrm6ZhqfNJGlKWwg3YaCkMIXwEOBWYBtwLHADcArxxcKNVHaePpQoXAqN3CTMP+lbDT/ifpp8seiDuWDyr+7gxf+vd1zUQpfowKnWAStaf/wmeCrweeCbG+AZgb2DeoKaqTtukDiCp/xoC417T8PSh5wz//t5PjDh53q+GffW6gxoeeDB1LkmDqjF1gErWn+njlTHGlSEEQggjYoyPhBB2H/Rk1ac3dQBJm6cxxMkHNj48+cDGh1kVG5+9tnevp7/f/c7tXQNRqjmWwg3oTyl8PoQwDvg98PcQwkJg5uDGqkpLUweQtOWGhZ4djmq8a4ejGu/ilClT/nHnyOEHpM4kaaA0rIJ86hAVqz9nH7+jfLcQQvgHkAP+OqipqtOS1AEkDawfzZmz38Ezps3rDmGH1FkkDYRe11vegH4dWB1COCSE8MEY43VkJ5lsP7ixqpKlUKoxW8U4+vtz5i0kRg8PkWpDV+oAlWyjpTCE8CXg88B/lR8aBlw0mKGqlNPHUg06fMXK1+6/svOG1DkkDYhVqQNUsv6MFL4DeDuwDCDGOBNwQeuXc6RQqlFnzZm7/7AYn06dQ9IWsxRuQH9KYVf5mscRIIQwenAjVS1LoVSjRkRG/nj23OXE2JM6i6Qt4vTxBvSnFP42hHAOMC6E8FHgKuCngxurKjl9LNWw/Vd27nnYipU3ps4haYvMSh2gkvWnFHaSFcFLgd2BL8YYfzioqaqTI4VSjfvenHkHjujtfTx1Dkmb7ZnUASpZf0rhZOAbwAyycnjVoCaqVoWOZbiAtVTThsPwn82e20OMHpckVadnUweoZBsthTHG04FdgXOBU4DHQwhfDyHsPMjZqpFTyFKN26uz6xVvXrb85tQ5JG0WRwo3oF/rFJZPNJldvnUD44HfhRC+OYjZqlFH6gCSBl/bvPkHb9Xb+3DqHJI2ycJiS9HBmw3ozzqF/x5CuAv4JnAT8OoY4yeB1wEnDHK+auOSFVIdaIKm82fNGUaMnamzSOo3Rwk3oj8jhdsC74wxvjnGeEksH0sTsxX+3zao6arPI6kDSBoae3St2uX4pctuSZ1DUr95POFG9OeYwi/GGNfZrmOMTp+s6dHUASQNncKLCw4d09NbTJ1DUr84UrgR/TqmUP3mSKFURxqh8cJZc8YQ44rUWSRtlCOFG2EpHFiWQqnO7LJq1Y7vXbL09tQ5JG2UI4UbYSkcWCXAEQOpzvzX/IWHjevpuTd1DkkbZCncCEvhQCp09AIeXyTVmQDhoplzJhCjy11IlakLfz9vlKVw4N2dOoCkoTeju3v6hzoW+/dfqkx3FVuKzuRthKVw4N2VOoCkNP5jYcdh23b3+P8AqfLckDpANbAUDjxHCqQ6dvGs2VOJ0asbSZXFUtgPlsKB9wDZsQuS6tDU7p7tPrWow2OXpMrRC9yYOkQ1sBQOtEJHF3BP6hiS0vn4osWHTOnudpkaqTI8UGwpLkodohpYCgdHe+oAktK6eOac5hDjgtQ5JDl13F+WwsFxReoAktKa1NMz6bMLFrmgvZSepbCfLIWDodBxHy6SKdW9kxcvOWiHVatuSZ1DqnOWwn6yFA6eP6YOICm9C2fO2S3EOC91DqlOPVVsKc5MHaJaWAoHj1PIktimt3fCF19c8FTqHFKduj51gGpiKRw81wKLU4eQlN6JS5ftv0tX102pc0h16PLUAaqJpXCwFDpWAX9NHUNSZfj5rDmvaohxVuocUh2ZD/wldYhqYikcXE4hSwIg1xtzX583/4XUOaQ68ptiS3FV6hDVxFI4uP4MdKcOIaky5Jct33fPzk7PhJSGxkWpA1QbS+FgKnQsxEvrSOrjZ7Pm7tUY4/Opc0g17oliS9HloDaRpXDwOYUs6Z/GxLj1d+a+OI8YY+osUg27OHWAamQpHHy/BjymQdI/Hbl8xd77OI0sDSanjjeDpXCwFTpmAZekjiGpspw9e96+w2Ispc4h1aBbiy3FJ1KHqEaWwqHx/dQBJFWWUTFu9cM585YQY2/qLFKNcZRwM1kKh0Kh4w7g5tQxJFWWg1esfPVBK1Y6jSwNnFVkh21pM1gKh84PUgeQVHl+OGfeAcN745Opc0g14s/FluL81CGqlaVw6FwGPJc6hKTKMhxGnDNnbicxuqaptOW+lTpANbMUDpVCRzdwVuoYkirPvis793jj8hWuaSptmWuLLUWvMb4FLIVD6yfA8tQhJFWeb8998eCRvb2Pps4hVbGvpg5Q7SyFQym7wskvUseQVHmGwbDzZs0NxNiVOotUhW4uthSvSR2i2lkKh97/Al7JQNLLvLqra7f8suWuVCBtOkcJB0DwSksJFHJ/Bd6cOoakytMDPQfPmPbIsoaGPVNnkarEncWW4utTh6gFjhSm8c3UASRVpkZovGDmnFHEuDJ1FqlKnJk6QK2wFKZQ6LgG+FPqGJIq0+6rVu104pKlt6XOUQueP/d5Hv70wzz+34//87EVz67gya8+yeOnP84z33uGnhU9ACx7fBmPn/44T375STrndALQs6yH0rdLOKtWse4HrkgdolZYCtP5T7KV1yXpZc6Yv/DQsT0996fOUe3GHzKe5v9sXuOxmefPZMq7prDrmbsy9nVjefHPLwIw/6/z2eFTOzD5hMksuGYBAHOvmMvEt00khDDU0dU/ZxZbijb2AWIpTKXQ8Rjww9QxJFWmBmi4aNacHDEuS52lmo3efTSNoxvXeKxzVidb7b5Vtn3P0Sy+a3G2oRHiqkhvVy+hMdA5t5Puhd2MfsXooY6t/nkYuDR1iFpiKUzrK8CLqUNIqkw7ruqe8YHFS+5KnaPWjJg2giX3LAFg8R2LWbUgm7SZmJ/IC+e/wPy/zWfCmyYw93dzmfTOSSmjasO+VGwp9qYOUUsshSkVOjqAM1LHkFS5Tluw6NDxPT33pM5RS6Z9aBrzr57PE196gt6V2aggwKgZo9j5izuzY+uOdM3roml8EwDP/uhZnjvnObo7vBJhBbmy2FK8JHWIWmMpTO+nQDF1CEmVKUC4eOacicS4OHWWWjFi6gh2/OyO7PLlXcgdkGP4pOFrbI8xMveKuUx6+yTm/n4uk4+fzLgDxzH/7/MTJdZaVgL/ljpELbIUplbo6AE+kzqGpMo1vbt72scXLb4vdY5a0b04G/GLvZF5V8xjmzdss8b2RTcuYuvXbk3j6EZ6u3qz35QNZPdVCb5WbCk+mTpELXLx6kpRyF0OHJ86hqTKdeT0qXfMbWpykd5N8NyPn2PZI8voXtpN09gmJh0/id7OXhZcnZ1dPPZ1Y5n8rsn/PLu4t7OXZ773DM2nNROaAsseXcbMC2cSGgPTPzmdEVNGpPw4gkeA1xZbil4OchBYCitFIbcz8BAwfGNPlVSfZjc2zj56+tSRMYRxqbNIiRxRbClelzpErXL6uFIUOp4EfpA6hqTKNaWnZ8qpCzseSp1DSuQCC+HgshRWljOBF1KHkFS5Ptyx+KDtV3XfmjqHNMQWAKelDlHrLIWVpNCxGPgA4NHMVWJld2S/ny7ltWcvZc8fLeVL/8guV3vN093sc85SXvWjpbT8fgXdvdlhGpc+tIo9f7SUQ89fxvzl2Y/5yQW9vOd3y5N9BlWfi2bN3jnE6KmwqiefK7YUXdd3kFkKK012XeRvpY6h/hnRCNe0jOa+T4zh3o+P5q9PdnPzc920/H4Fvz5xFA/86xhm5AIX3JstjvudW7q49cOj+cBrhvHLYnYG5On/WMlX3+DB6+q/bXt6J35h/sLHN/5MqSbcCJyXOkQ9sBRWpjOAO1OH0MaFEBgzPDtrcVUvrOqBxpCVxd0mZJfWOmqnJi59OCuADQE6eyLLV0WGNcINz3Sz3ZgGdp3QuN73kNblPUuWHrBj16qbU+eQBlkX8Emvbzw0LIWVqNCxCngfsDR1FG1cT29kr7OXMulbSzhqpyb2276RVb1w58weAH73UDfPLc6mir90+AjefNFyrnq6h/e+ahhn3tDJGYc5SqjN84tZc17ZEOOc1DmkQXRasaX4QOoQ9cIlaSpZIfdBHDKvGotWRt7xm+X88JiRLOmMfO6qTjq7I0fv3ET7493c8/Exazz/gnu7WLQysv+0Rr59cxfjRwZ+cMxIthoWEn0CVaPfjxl9+xkTJ+yXOoc0CC4pthTfnTpEPXGksJIVOs4Hfps6hvpn3MjAETOa+OsT3Rw4vYkbPjia2z86hsNmNLHrNmv+VVu+KnLBfav419cP57+u7uS840bxuqmNXHz/qkTpVa2OX7psv907u25MnUMaYI8DH0kdot5YCivfx4FnU4fQus1b1suildlo+4pVkaue7uYV2zYwd1k2XdzZHfmfmzr5xL5rrkn+zZs6OXX/4QxrDKxYBYHseMPlqxy516Y7f9ac1zTGODN1DmmArATeVWwper3vIdaUOoA2otCxiELu/cA/AM9GqDCzlkZafr+cnl7ojfDuPYfxtt2G8dm/reRPj3fTG+GT+w7jjTu+9Fdt5pJe7pzZS+GIkQD854HDOeDcZYwbGfj9v4xK9VFUxbaOcWzbvPmPf3bStlNTZ5EGwKeLLUWv9Z2AxxRWi0Luq8DpqWNIqlwnbTf5hvtHjjg0dQ5pC/yi2FJsSR2iXjl9XD2+DHgVA0nr9dPZc/dpitHDTVStHgQ+mTpEPbMUVotCRzfwHsDlJySt01Yxjv7+nHkLcQpI1WcZ2XGEXt4pIUthNSl0PAO8DfAvjaR1OnzFytfut7Lz+tQ5pE308WJL8eHUIeqdxxRWo0LuWOByPPFE0jqsDGHFQTOmzV4Vwo6ps0j9cE6xpfiJ1CHkSGF1KnT8ETg1dQxJlWlkjKN+PHvucmLsSZ1F2ogrgU+nDqGMpbBaFTrOAr6TOoakyrT/ys49D1ux8obUOaQNuB04odhSdNX+CmEprG6fBS5JHUJSZfrenHkHjejtfTx1DmkdHgXyxZbistRB9BJLYTUrdETgA8DNqaNIqjzDYfjPZs/tIUZHYlRJXgCOLrYUX0wdRGuyFFa7QsdK4O1k14mUpDXs1dn1ijcvW35T6hxS2ULgLcWWoutpViDPPq4VhdzOwC3AxNRRJFWWbug+aMa0x1c0NLwydRbVtRXAUcWWov9IqVCOFNaKQseTZCOGK1JHkVRZmqDp/Flzm4ixM3UW1a0e4F8shJXNUlhLCh23Au8DulNHkVRZ9uzq2vX4pctuSZ1DdetjxZbiH1OH0IY5fVyLCrnjgN8Cw1NHkVQ5eqDnkBnTHl7a0PCq1FlUV75QbCl+I3UIbZwjhbWo0PEHnEqWtJZGaLxw5pzRxOj/GzRUvmshrB6WwlpV6LgSeCuwNHUUSZVjl1WrdnzvkqW3p86hutBWbCn+Z+oQ6j+nj2tdIXcg8BcglzqKpMoQIR66w/b3dTQ27pU6i2rWGcWW4pmpQ2jTOFJY6wodtwBvBOanjiKpMgQIF8+cM4EYnUnQYPh/FsLqZCmsB4WOu4EjgDmJk0iqEDO6u6d/qGPJPalzqKZE4JPFluL3UgfR5nH6uJ4UcrsBVwPTUkeRVBneMH37u15sanxd6hyqet3AB4stxYtSB9Hmc6SwnhQ6HgMOA55OHUVSZbh41uypxNiROoeq2jLgWAth9bMU1ptCx9NkxfDR1FEkpTe1u2e7f1vU8UDqHKpa84Ejiy3Fv6YOoi3n9HG9KuQmA+2A00aSOGr61NtnNzXtlzqHqsqzwJuLLcVHUgfRwHCksF4VOuYAhwK/Sh1FUnoXz5zTHGJcmDqHqsaDwEEWwtpiKaxnhY4VFDreB7QCvanjSEpnUk/PpNMWLHo4dQ5VhSvICuELQ/FmIYTpIYR/hBAeDiE8GEI4tfz4NiGEv4cQHi9/HV9+/BUhhFtCCJ0hhNP67Gf3EMK9fW6LQwifGYrPUC2cPlamkHsr8Etc5Fqqa/lp293y7LBhB6bOoYoUgS8DXym2FIesPIQQtgO2izHeHULYGrgLOB44BVgQY2wLIbQC42OMnw8hTAJmlJ+zMMb47XXssxF4Adg/xvjMUH2WSudIoTKFjj8D++MJKFJdu3DmnN1CjPNS51DFWQwcV2wpfnkoCyFAjHFWjPHu8v0lwMPA9sBxwAXlp11AVgKJMc6NMd4BrNrAbo8EnrQQrslSqJcUOh4lK4Z/SR1FUhrb9PZOOGP+gqdS51BFeQTYr9hS/GPqICGEZmBv4DZgcoxxFmTFEZi0Cbt6Dx5T/zKWQq2p0NEBvA34ZuooktJ415Jl++/S1XVT6hyqCH8gK4TJZ5FCCGOAS4HPxBgXb8F+hgNvBy4ZqGy1wlKolyt09FLo+DxwErAidRxJQ+/ns+a8qqE8CqO6FIEvAu8othSXpA4TQhhGVggvjjFeVn54Tvl4w9XHHc7t5+6OAe6OMXrp17VYCrV+hY5fki1b83zqKJKGVq435r4+b/6QnF2qitNBdoWSrw718YPrEkIIwLnAwzHG7/bZdAXQUr7fQjaq2R/vxanjdfLsY21cttD1pcDBqaNIGlrvmTr5hgdHjDg0dQ4NmYeB44stxcdSB1kthHAIcANQ5KXl075Adlzhb4EdyBbSfleMcUEIYQpwJzC2/PylwB4xxsUhhK2A54Cdopd3fBlLofqnkGsCCsB/4QizVDeWhrDkkBnTOnpCmJY6iwbdZcAplTBdrDQshdo0hdxhwIVk/zKTVAeu3mrUPZ+ZtO1eZNN4qj1LgP8othTPTR1EaTnio01T6LgeeC3wm9RRJA2NI5ev2Hufzs7rU+fQoLgOeI2FUOBIobZEIdcC/B8wJnUUSYNrRQjLD5oxbV53CDNSZ9GA6CQ7Lu97lXAyiSqDpVBbppDbmWwleU9CkWrcTaNGFj8xeeKehOAsU3W7Gzi52FJ8KHUQVRb/YmvLFDqeBA4DPkv2L09JNergFStffdCKlTekzqHN1g18FTjAQqh1caRQA6eQ24Ns1HDf1FEkDY4u6DxwxvTnuxrCzqmzaJM8Cnyg2FK8PXUQVS5HCjVwCh0PAQcCZ7DhC5FLqlLDYcQ5c+Z2EmN36izqlwj8ENjbQqiNcaRQg6OQey3wc2CvxEkkDYJTJ2177TWjtzoidQ5t0HPAB4stxatTB1F1sBRq8BRyjcAnyY5hGZc4jaQBtApWHTRj2lMrGxp2T51FL9NNNjpYKLYUF6cOo+phKaxQIYTpwC+AKWSX6flJjPEHIYRtyNYIbAZKwLtjjAtDCK8Azgf2Af47xvjtPvsqkS1O2gN0xxiH9pi/Qm4i0AZ8EHDxW6lG3D9i+GMnbTe5mRCGp86if7oG+LQnkmhzWAorVAhhO2C7GOPdIYStgbuA44FTgAUxxrYQQiswPsb4+RDCJGBG+TkL11EK940xvjjUn2MNhdx+wFl4IopUM1onTri2fczoI1LnEM8BpxVbir9NHUTVyxNNKlSMcVaM8e7y/SVkFynfHjiO7Axfyl+PLz9nbozxDir5BI9Cx+3A/sDHgPmJ00gaAF+bN//Q0b29jkql0wV8A3ilhVBbylJYBUIIzcDewG3A5BjjLMiKIzCpH7uIwN9CCHeFED42WDn7pdDRS6Hjp8BuwI/JpsYlValGaPz5rDkjiHFl6ix16C/Aq4otxS8UW4rLUodR9bMUVrgQwhjgUuAzMcbNPWD44BjjPsAxwL+FEA4bsICbq9CxgELHv5JNJd+cOo6kzfeKrlU7n7hk6W2pc9SRp4Djii3FtxZbio+nDqPaYSmsYCGEYWSF8OIY42Xlh+eUjzdcfdzh3I3tJ8Y4s/x1LnA5sN/gJN4MhY57gEOAFmB24jSSNtMZ8xceOran5/7UOWrcCuBLwJ7FluIVqcOo9lgKK1QIIQDnAg/HGL/bZ9MVZAWK8tc/bGQ/o8snqhBCGA0cDTww8Im3QKEjUuj4BbA78H2y5RQkVZEGaLhw1pwcMS5PnaVGXUp23OBXii1Fp+o1KDz7uEKFEA4BbgCKvHTc3RfIjiv8LbAD8CzwrhjjghDCFOBOYGz5+UuBPYBtyUYHAZqAX8YYvzZUn2OzFHI7A18ETgIaE6eRtAm+uc246y/MjU1/iErt+CtwRrGleGfqIKp9lkJVrkJuN7KpkvfgqLZUFSLEw3fY/t6FjY17p85S5a4hK4Mec60hYylU5SvkXgkUgHfh4tdSxXuuqen5t07bLkf50BVtkhvJyuC1qYOo/lgKVT0KuVcDXyZbm9FyKFWwH47L3fiT8blDUueoIreTlcG/pQ6i+mUpVPUp5PYmK4fHpo4iaf2OnD71jrlNTa9PnaPC3Qt8sdhS/GPqIJKlUNWrkHs9WTk8JnUUSS83u7Fx9tHTp46MIYxLnaUCPUh2zPRlxZaiv4hVESyFqn6F3IHAV4A3pY4iaU3n5sbe9P1txh2cOkcFeZTsH7O/KbYUvaKTKoqlULWjkDsUOA14G56tLFWMt0ybeusLw5oOSJ0jsWvI1mH9kyODqlSWQtWebJ3DTwEfIlu3UVJCLzY2zHvj9O0bYggTUmcZYp3Ar4DvF1uK96UOI22MpVC1q5DbGjgF+DSwa9owUn375dZjbvnGttscmDrHEJkLnA38qNhSnJM6jNRflkLVvkIukJ2McirZZf4kJXDs9tvdXBo+7KDUOQbRA8D3gIuLLcXO1GGkTWUpVH3JFsL+d+ADwFaJ00h1ZVFDw8LDd9i+qzeEyamzDKAI/AX4XrGleFXqMNKWsBSqPhVy44GPAP8GzEicRqobvx8z+vYzJk7YL3WOAbAcuAD4QbGl+GjqMNJAsBSqvhVyjcBxZFPLhyVOI9WFE6dOufHREcOr9WonReDnwM+LLcUFibNIA8pSKK2WXUbvA8BJwHaJ00g1a3FD6Dhsh2nLekKYmjpLP80HfklWBO9OHUYaLJZCaW3Z6OGRZAXxHXjsoTTg/jp6q7s+O2nb16XOsQHdZMcK/pxsbcGutHGkwWcplDakkBsDnACcDLwBF8WWBsxJ202+/v6RIyrtsI3V08MXFVuKcxNnkYaUpVDqr0JuGtnU8snAnonTSFVvWQhLD5kxbUF3CDskjuL0sISlUNo8hdw+ZOXwvUAtLa8hDanrRo2871OTJ76GEMIQv7XTw9JaLIXSlijkmsgWxP4A2VnMI9MGkqrPh6dMuu72USMPH4K36gSuAi4Hrii2FOcNwXtKVcNSKA2U7LJ6xwBvL3/dJm0gqTqsDGHFQTOmzV4Vwo6DsPvFQDtZEfxLsaW4dBDeQ6oJlkJpMGRnMB9CVhCPxWsvSxt068gRD3x0yqRXEkLjAOxuNnAFWRG8xqlhqX8shdJQKOReQVYQ3w4ciGcxSy/zb5MnXnv9VqOO2MyXP0lWAi8Hbi22FHsHLJhUJyyF0lAr5LYF8mQF8WhgTNpAUmXogq6DZkx7prOhob8j6/cAvwcuL7YUi4MYTaoLlkIppUJuBNn6h8eWb9PTBpLSunvE8Idbtpu8CyEMW8fmBcDVwN+BvxVbis8MbTqptlkKpUpSyO1FdjWVw4FDgXFpA0lD77SJE669cszoI4Au4CayEvh34G6nhaXBYymUKlUh1wC8hqwgHg4cBkxImkkaXD3A3Z1w1QHN06/rDuGGYktxeepQUr2wFErVopALZFdSObzPbVLSTNKW6SE7LvDa8u0GCh2LUwaS6pmlUKpm2VnNfUvi1LSBpA1aDtwN3ApcR1YCO9JGkrSapVCqJYXcLrx0POI+wCuBpqSZVK86gfuBO4A7y18fptDRkzSVpPWyFEq1rJAbCbwK2JusJO5NdpziqJSxVHO6gQd5qQDeCdxPoWNV0lSSNomlUKo32dVWdmfNorg3nums/ukFHuWl0b87gXspdKxImkrSFrMUSsoUcs28VBBXl0WPUaxfEXiOrAA+CjwCPADcTaFjScpgkgaHpVDS+hVyE8mOS9xtrdvOwPCEyTRwlvJS8Vtd/h4FHqfQ4XIwUh2xFEradNkU9Ayygrg7WUncCdixfPOYxcrSCzzDuspfoWNmymCSKoelUNLAytZTnMJLJXGn8m0GMLl82yZZvtrTDcwGZpZvL6zj61MUOlYmSyipKlgKJQ29Qm4Y2cLbk8kK5OQN3CYAIU3QpCIwn5fK3cz13J9LocNLv0naYpZCSZWtkGsCJrJmeZwAbAWMLt/6e79xiFJ3AovXui1Zx2Mbes6LFDr+f7t2qMIwDAVQ9DLRyf7yvrmyYlTEBGamFsrOMQlPPXkJOX+0L4AoBP7Ia3/2GYtb48/du/E6N5/f3OfZWR1iDrgjUQgAQI/VCwAAsJ4oBABAFAIAIAoBAEgUAgCQKAQAIFEIAECiEACARCEAAIlCAAAShQAAJAoBAEgUAgCQKAQAIFEIAECiEACARCEAAIlCAAAShQAAJAoBAEgUAgCQKAQAIFEIAECiEACARCEAAIlCAAAShQAAJAoBAEgUAgCQKAQAIFEIAECiEACARCEAAIlCAAAShQAAJAoBAEgUAgCQKAQAIFEIAECiEACARCEAAIlCAAAShQAAJAoBAEgUAgCQKAQAIFEIAEB1AYe6uv3LPX/AAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 792x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# New column with date in year-month format.\n",
    "\n",
    "df_startup['year_month'] = (pd.to_datetime(df_startup['Date']).dt.year*100) + (pd.to_datetime(df_startup['Date']).dt.month)\n",
    "\n",
    "times = df_startup['year_month'].value_counts().reset_index()\n",
    "times.set_index('index', drop=True, inplace=True)\n",
    "times.index.name = 'Month-Year'\n",
    "times.columns = ['Number of Startups']\n",
    "times.sort_index(inplace=True)\n",
    "times.plot(kind='bar', figsize=(13,7), title='Number of Startups over month')\n",
    "plt.show()\n",
    "\n",
    "# Let's see number of startups over Years\n",
    "df_startup['year'].value_counts().plot(kind='bar', figsize=(13,7), title='Number of Startups over Years')\n",
    "plt.show()\n",
    "df_startup['year'].value_counts().plot(kind='pie', figsize=(11,7), title='Number of Startups over Years', subplots=True, autopct='%.f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* The trend in startups first incres in 2016 and then decrease in 2017.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ===================================================================================================="
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q14). Different type of funding (Investment type)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Dealing with incorrect entries.\n",
    "def convert(x):\n",
    "    if x== 'SeedFunding':\n",
    "        return 'Seed Funding'\n",
    "    elif x== 'PrivateEquity':\n",
    "        return 'Private Equity'\n",
    "    elif x== 'Crowd funding':\n",
    "        return 'Crowd Funding'\n",
    "    else:\n",
    "        return x\n",
    "\n",
    "df_startup['InvestmentType'] = df_startup['InvestmentType'].apply(convert)\n",
    "\n",
    "df_startup['InvestmentType'].value_counts().plot(kind='bar', figsize=(12,6), title='Type of Investment')\n",
    "plt.show()\n",
    "\n",
    "df_startup['InvestmentType'].value_counts().plot(kind='pie', figsize=(12,6), subplots=True, autopct='%.f%%')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### ===================================================================================================\n",
    "#### ===================================================================================================\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}