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  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Crunchbase: Crunching Data"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "It is possible for pandas to directly read the data from xls ."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "import numpy as np\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We are going to load the Company profile data"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl = pd.io.excel.read_excel('crunchbase_monthly_export_d43b44299ade53.xlsx', sheetname='Companies', index_col='permalink')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.info()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 48636 entries, /organization/waywire to /organization/x\n",
        "Data columns (total 17 columns):\n",
        "name                 48635 non-null object\n",
        "homepage_url         45286 non-null object\n",
        "category_list        44040 non-null object\n",
        "market               44034 non-null object\n",
        "funding_total_usd    48636 non-null int64\n",
        "status               47193 non-null object\n",
        "country_code         43480 non-null object\n",
        "state_code           29679 non-null object\n",
        "region               43480 non-null object\n",
        "city                 42628 non-null object\n",
        "funding_rounds       48636 non-null int64\n",
        "founded_at           37976 non-null object\n",
        "founded_month        37904 non-null object\n",
        "founded_quarter      37904 non-null object\n",
        "founded_year         37904 non-null float64\n",
        "first_funding_at     48636 non-null object\n",
        "last_funding_at      48636 non-null object\n",
        "dtypes: float64(1), int64(2), object(14)\n",
        "memory usage: 6.7+ MB\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl=xl[xl.founded_year >= 2000]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.info()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 34275 entries, /organization/waywire to /organization/zzzzapp-com\n",
        "Data columns (total 17 columns):\n",
        "name                 34274 non-null object\n",
        "homepage_url         32505 non-null object\n",
        "category_list        32168 non-null object\n",
        "market               32164 non-null object\n",
        "funding_total_usd    34275 non-null int64\n",
        "status               33414 non-null object\n",
        "country_code         31431 non-null object\n",
        "state_code           21621 non-null object\n",
        "region               31431 non-null object\n",
        "city                 31030 non-null object\n",
        "funding_rounds       34275 non-null int64\n",
        "founded_at           34275 non-null object\n",
        "founded_month        34275 non-null object\n",
        "founded_quarter      34275 non-null object\n",
        "founded_year         34275 non-null float64\n",
        "first_funding_at     34275 non-null object\n",
        "last_funding_at      34275 non-null object\n",
        "dtypes: float64(1), int64(2), object(14)\n",
        "memory usage: 4.7+ MB\n"
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "What is the most common market addressed by startups?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "len(xl.market.value_counts())"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 9,
       "text": [
        "718"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "That is way too many.  So lets look at the top 20."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.market.value_counts().head(20)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 10,
       "text": [
        "Software               3165\n",
        "Biotechnology          2041\n",
        "Mobile                 1485\n",
        "E-Commerce             1338\n",
        "Curated Web            1273\n",
        "Enterprise Software     932\n",
        "Games                   859\n",
        "Advertising             837\n",
        "Health Care             747\n",
        "Social Media            711\n",
        "Hardware + Software     701\n",
        "Clean Technology        672\n",
        "Education               608\n",
        "Finance                 601\n",
        "Health and Wellness     544\n",
        "Analytics               493\n",
        "Manufacturing           405\n",
        "Security                355\n",
        "Hospitality             325\n",
        "Real Estate             307\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Software seems to be a catch all phrase, when they couldn't place it in a specific category or when there are just way too many products produced by the company.  The surprise is 'Biotechnology'. Who knew they were so many?\n",
      "\n",
      "Ok, now let's create a graph!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from matplotlib import pyplot as plt\n",
      "%matplotlib inline"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "\n",
      "from mpltools import style\n",
      "\n",
      "style.use('ggplot')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.market.value_counts().head(30).plot(kind='bar', figsize=(15,8))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x7feb3bd28ed0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
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AgShzAAAAAGAgyhwAAAAAGIgyBwAAAAAGoswBAAAAgIEocwAAAABgIK4zB1iA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\npZK46ehBZQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7feb3bd28190>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "How are startups distributed among countries?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.country_code.value_counts().head(15)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 14,
       "text": [
        "USA    20716\n",
        "GBR     1797\n",
        "CAN      954\n",
        "DEU      681\n",
        "FRA      607\n",
        "IND      601\n",
        "CHN      563\n",
        "ISR      538\n",
        "ESP      413\n",
        "RUS      251\n",
        "SGP      239\n",
        "IRL      233\n",
        "AUS      230\n",
        "NLD      223\n",
        "BRA      220\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.country_code.value_counts().head(15).plot(kind='bar', figsize=(15,8))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x7feb3bd28150>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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d296edT2atvk4AACoJiGPmtG+9IWs+cYXd9nrdf7SNYmQBwBAjTFdEwAAoCBC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\nk5XpiwMGDMh9991X5ep23D/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       "text": [
        "<matplotlib.figure.Figure at 0x7feb3bc54650>"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "What is the year on year trend for startups?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.founded_year.value_counts(sort=False).tail(25).plot(kind='bar', figsize=(15,8))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x7feb3b9fac50>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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bO/xxvb29aWtre92VuN7e3iOu1L3W1q1bs3Xr1uHHixYtyuTJk0cz5oiMHz++\nJsepFXnqXz1nerlxVD8aRqyxsSmn1eBzIM/oVS2TPKPje2705BmdquVJqpepanlGo9bncuvXrx9+\nu7OzM52dnaMrc7Nnz87999+fBQsW5IEHHsicOXOGt69ZsybXXntt+vr60t3dnY6OjjQ0NGTixInZ\ntm1bOjo6snHjxlxzzTVv+P9+dbDX2rt372jGHJHJkyfX5Di1Ik/9q+dMjYcGa3KcQ4cGa/I5kGf0\nqpZJntHxPTd68oxO1fIk1ctUtTyjUctzucmTJ2fRokWv237UMvelL30p//mf/5nnn38+S5cuzaJF\ni7JgwYKsXr06GzZsGL41QZJMnz49V155ZZYtW5bGxsYsWbJkeBnm9ddfn7Vr1+bAgQOZNWtWZs6c\neZwjAgAAnDyOWuZ+67d+6w2333TTTW+4feHChVm4cOHrtl900UXD96mDqmka6MtQz64R7fNyY9OI\n/6rVMOWsDDa/8RJlAABOLrVbBA8VNtSzKwfuXH7CjzP+xrsSZQ4AgByHV7MEAACg9pQ5AACAAilz\nAAAABarkc+a8GAUAAFB1lSxzXowCAACoOsssAQAACqTMAQAAFEiZAwAAKJAyBwAAUCBlDgAAoEDK\nHAAAQIEqeWsC6pv7AAIAwLFT5qg59wEEAIBjZ5klAABAgVyZK4BliQAAwE9S5gpgWSIAAPCTLLME\nAAAokDIHAABQIGUOAACgQMocAABAgZQ5AACAAilzAAAABVLmAAAACqTMAQAAFEiZAwAAKJAyBwAA\nUCBlDgAAoEDKHAAAQIGUOQAAgAIpcwAAAAVS5gAAAAqkzAEAABRImQMAACiQMgcAAFAgZQ4AAKBA\nyhwAAECBlDkAAIACKXMAAAAFUuYAAAAKpMwBAAAUSJkDAAAokDIHAABQIGUOAACgQMocAABAgZQ5\nAACAAilzAAAABVLmAAAACqTMAQAAFEiZAwAAKJAyBwAAUCBlDgAAoEDKHAAAQIGUOQAAgAIpcwAA\nAAVS5gAAAAqkzAEAABRImQMAACiQMgcAAFAgZQ4AAKBAyhwAAECBlDkAAIACKXMAAAAFUuYAAAAK\npMwBAAAUSJkDAAAoUFOtD7hly5Z84xvfyOHDh/Pud787CxYsqPUIAAAAxavplbnDhw/nT/7kT7Ji\nxYqsWrUqDz30UHbu3FnLEQAAACqhpmVu+/btmTZtWtrb29PU1JS5c+fm0UcfreUIAAAAlVDTMtfX\n15e2trYLC2l6AAAOcElEQVThx62trenr66vlCAAAAJXQMDQ0NFSrg/3bv/1btmzZkk984hNJku9/\n//vZvn17Pv7xjw9/zNatW7N169bhx4sWLarVeAAAAHVp/fr1w293dnams7OztlfmWltb09vbO/y4\nt7c3ra2tR3xMZ2dnFi1aNPxfrbz2k1MF8tS/qmWSp/5VLZM89a1qeZLqZZKn/lUtkzzH5rUdqbOz\nM0mNl1lefPHF6e7uzu7duzM4OJhNmzZl9uzZtRwBAACgEmp6a4LGxsZ8/OMfz+233z58a4Lp06fX\ncgQAAIBKaLzllltuqeUBzz777FxzzTV53/vel7e97W21PPRRtbe3j/UIx5U89a9qmeSpf1XLJE99\nq1qepHqZ5Kl/Vcskz/FV0xdAAQAA4Pio6XPmAAAAOD6UOQAAgAIpcwAAAAWq6atZ1ovDhw9n+/bt\n6evrS0NDQ1pbW9PR0ZGGhoaxHm1U5Kl/VcskT/2rWiZ56lvV8iTVyyRP/ataJnlq46Qrcz/4wQ+y\nbt26TJs2LW1tbUleuXl5d3d3lixZkpkzZ47xhCMjT/2rWiZ56l/VMslT36qWJ6leJnnqX9UyyVND\nQyeZG264YWjXrl2v275r166hG264YQwmOjby1L+qZZKn/lUtkzz1rWp5hoaql0me+le1TPLUzkn3\nnLnDhw+ntbX1ddtbW1tz6NChMZjo2MhT/6qWSZ76V7VM8tS3quVJqpdJnvpXtUzy1M5Jt8zy6quv\nzuc+97nMnTv3iMukDz30UK6++uoxnm7k5Kl/VcskT/2rWiZ56lvV8iTVyyRP/ataJnlq56S8afjO\nnTuzefPm9Pf3J3mlVc+ePTvTp08f48lGR576V7VM8tS/qmWSp75VLU9SvUzy1L+qZZKnNk7KMgcA\nAFC6k+45cz/L+vXrx3qE40qe+le1TPLUv6plkqe+VS1PUr1M8tS/qmWS5/hS5l7joosuGusRjit5\n6l/VMslT/6qWSZ76VrU8SfUyyVP/qpZJnuPLMksAAIACNd5yyy23jPUQtbZly5Z8+9vfzj//8z/n\nwQcfzJNPPpnGxsZMmzZtrEc7rv72b/82l1566ViPMWJbtmzJk08+mUmTJmXSpEnD2//lX/4lF154\n4RhONjqDg4N58MEH09/fn2nTpuX+++/P9773vezZsycXXHBBGhoaxnrEY3brrbdm/vz5Yz3GqDz/\n/PM59dRThx9///vfz/e+97309vbmwgsvLPLr8/DDD6e5uTmnnnpqBgYGsm7dunzrW9/Kk08+mbe8\n5S057bTTxnrEEfnGN76RCRMmZMqUKWM9ynGxd+/efPvb3053d3cuuOCC3Hfffenq6sozzzyTiy++\nOOPHjx/rEUfsiSeeGP69+q//+q955pln0t7entNPP32sRxs15wr1zblCeZwrnBgn3ZW5r3/96+nu\n7s68efOG7xfR29ubjRs35qyzzsrHP/7xMZ7w+Fm6dGm+8pWvjPUYI/LXf/3Xefrpp3PhhRfmscce\nyzXXXJP3ve99SZLPfvaz+X//7/+N8YQj95WvfCUvvvhiBgcHM378+Bw8eDBXXHFFHnvssUyZMiUf\n/vCHx3rEEfmd3/mdNDQ05LU/Ov73f/83Z599dhoaGvLFL35xDKcbudd+X/3d3/1dnnrqqcydOzeP\nPfZY2tra8rGPfWxsBxyFZcuWZfXq1UmSVatW5S1veUuuuOKKPPHEE9m4cWNuuummMZ5wZJYsWZKp\nU6dmYGAgc+fOzdy5c4s8WXvVH/3RH+X888/PSy+9lGeffTbnn39+rrjiivzwhz/Mj370o3z2s58d\n6xFH5K/+6q+yZ8+evP3tb88jjzyS9vb2nHPOOfmnf/qnLFiwIL/wC78w1iOOmHOF+uZcof45V6id\nk+4+c48//njuvvvu122fO3duPvOZz4zBRMfmIx/5yE9934EDB2o4yfHx2GOP5a677kpTU1N+9Vd/\nNWvWrMnu3bvz0Y9+dKxHG7Vt27Zl1apVGRwczG/8xm/ka1/7Wk455ZTMnTs3y5cvL+4HdHt7eyZO\nnJiFCxfm1FNPzdDQUG6++ebceOONKf1vQw8//HD+4A/+IBMmTMi73vWuLF++fKxHGpXDhw8Pv71r\n16789m//dpJk/vz5+c53vjNWY41aW1tb7rzzzjz33HPZtGlT7rnnnhw6dCjvete7Mnfu3Jxzzjlj\nPeKI9Pf3Z8WKFRkaGsonPvGJvLpA5tJLL83v/u7vju1wo/Dv//7vWblyZZJXfpfefPPN+chHPpIr\nrrgiv//7v19kmXOuUN+cK9Q/5wq1c9KVuVNOOSXbt29PR0fHEdu3b99e5NKWSZMm5Y477khLS8vr\n3rd06dIxmOjYHD58OE1Nr3xbTpo0KcuXL88f//EfD/+AK1FjY2OSpKmpKR0dHTnllFOGt5e4bGL5\n8uV5+OGH87WvfS2//Mu/nDlz5mTcuHGZOnXqWI82KgcOHMiOHTuSJIcOHcqECROSvPL1GjeuzNeI\nuvTSS/Otb30rH/jAB9LZ2ZmHH34473znO/PEE08Ut8Tytc4555x88IMfzAc/+ME888wzeeihh3LH\nHXfknnvuGevRRuTw4cPZt29f9u/fn/3792f37t1pb2/P888/f0QRL8W4ceOyd+/eTJ48OX19fcMn\naiUvsXSuUN+cK9Q/5wq1c9KVuU996lO59957s3///uGlE319fZk4cWI+9alPjfF0Izdv3rz09PS8\n4Q/ouXPnjsFEx6a9vT1PPvnk8Pr9xsbGfPKTn8w3v/nNPPLII2M83ei0tLRk//79mTBhQj7/+c8P\nb+/v7x/+ZVSad77znZkxY0a++c1vZsOGDcX+8kxe+fr8xV/8RZLkjDPOSF9fX1pbW/P8888P/3It\nzZIlS/L3f//3ueGGG5Ik3/nOdzJ+/Pj8/M//fD796U+P8XTHxwUXXJALLrggH/rQh8Z6lBG79tpr\n85nPfCaTJk3KDTfckNtuuy3t7e159tln82u/9mtjPd6IfeADH8jy5ctz9tln57nnnsv111+fJBkY\nGMjP/dzPjfF0o+Ncob45VyiDc4XaOOmeM/eq/v7+I+7g/kY/4Ki9V5d7vNFfPnt7e9PW1lbrkU6Y\n/fv35+WXX05zc/NYj3JMnnnmmfzXf/1X3vve9471KMfV4cOHc+DAgeG/vpXqhRdeyKFDhzJ58uQi\n/7qbJC+99FImTpw41mMcV4ODgxk3blzGjRuXF198Mc8++2zOOuusnHHGGWM92qjs3bs3u3btytln\nn33Ei1GUrr+/P319fUleOVc488wzx3giEucKJaryucLBgwePeHGUWjspy9zQ0FC2bds2/AO6ra0t\nHR0dxZ7ovDZPQ0NDWltb5akzVct0+PDhbN++Pf39/RkaGqrMv6HX/oGn5DzJK5m2b99+xIloyZle\n/Z6ryr+hV78+vb29lclTtX9DP82zzz6bc889d6zHOG7kqX9VyyTP8XXSlbkf/OAHWbduXaZNmzb8\nl5ve3t50d3dnyZIlmTlz5hhPODLy1L+qZZKn/lUtkzz1rWp5jqbEV3/8WeSpf1XLJM/xVeYi3GPw\n9a9/PTfddFPa29uP2L579+7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       "text": [
        "<matplotlib.figure.Figure at 0x7feb3bc47f90>"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "What is the success rate of well-funded startups?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.status.value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "operating    29161\n",
        "acquired      2327\n",
        "closed        1926\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.status.value_counts()* 100/len(xl)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "operating    85.079504\n",
        "acquired      6.789205\n",
        "closed        5.619256\n",
        "dtype: float64"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "year_gp = xl.groupby('founded_year')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "type(year_gp)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "pandas.core.groupby.DataFrameGroupBy"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for year, group in year_gp:\n",
      "    print year\n",
      "    print group.info()\n",
      "    break"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2000.0\n",
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 883 entries, /organization/1010data to /organization/zoomingo\n",
        "Data columns (total 17 columns):\n",
        "name                 883 non-null object\n",
        "homepage_url         799 non-null object\n",
        "category_list        840 non-null object\n",
        "market               840 non-null object\n",
        "funding_total_usd    883 non-null int64\n",
        "status               872 non-null object\n",
        "country_code         847 non-null object\n",
        "state_code           613 non-null object\n",
        "region               847 non-null object\n",
        "city                 836 non-null object\n",
        "funding_rounds       883 non-null int64\n",
        "founded_at           883 non-null object\n",
        "founded_month        883 non-null object\n",
        "founded_quarter      883 non-null object\n",
        "founded_year         883 non-null float64\n",
        "first_funding_at     883 non-null object\n",
        "last_funding_at      883 non-null object\n",
        "dtypes: float64(1), int64(2), object(14)\n",
        "memory usage: 124.2+ KB\n",
        "None\n"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "year_gp = xl[xl.founded_year>=2000].groupby('founded_year')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for year, group in year_gp:\n",
      "    print year, len(group)\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2000.0 883\n",
        "2001.0 738\n",
        "2002.0 788\n",
        "2003.0 963\n",
        "2004.0 1148\n",
        "2005.0 1412\n",
        "2006.0 1807\n",
        "2007.0 2311\n",
        "2008.0 2328\n",
        "2009.0 2956\n",
        "2010.0 3744\n",
        "2011.0 4855\n",
        "2012.0 5115\n",
        "2013.0 3935\n",
        "2014.0 1291\n",
        "2015.0 1\n"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We see that we get a single record for the year 2015. A startup getting funding before it is founded? Lets see what it is."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl[xl.founded_year==2015]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>name</th>\n",
        "      <th>homepage_url</th>\n",
        "      <th>category_list</th>\n",
        "      <th>market</th>\n",
        "      <th>funding_total_usd</th>\n",
        "      <th>status</th>\n",
        "      <th>country_code</th>\n",
        "      <th>state_code</th>\n",
        "      <th>region</th>\n",
        "      <th>city</th>\n",
        "      <th>funding_rounds</th>\n",
        "      <th>founded_at</th>\n",
        "      <th>founded_month</th>\n",
        "      <th>founded_quarter</th>\n",
        "      <th>founded_year</th>\n",
        "      <th>first_funding_at</th>\n",
        "      <th>last_funding_at</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>permalink</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>/organization/merchme</th>\n",
        "      <td> MerchMe</td>\n",
        "      <td> NaN</td>\n",
        "      <td> |Marketplaces|Technology|Web Development|E-Com...</td>\n",
        "      <td> Web Development</td>\n",
        "      <td> 0</td>\n",
        "      <td> operating</td>\n",
        "      <td> USA</td>\n",
        "      <td> IL</td>\n",
        "      <td> Chicago</td>\n",
        "      <td> Chicago</td>\n",
        "      <td> 1</td>\n",
        "      <td> 2015-01-15 00:00:00</td>\n",
        "      <td> 2015-01</td>\n",
        "      <td> 2015-Q1</td>\n",
        "      <td> 2015</td>\n",
        "      <td> 2014-09-17 00:00:00</td>\n",
        "      <td> 2014-09-17 00:00:00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "                          name homepage_url  \\\n",
        "permalink                                     \n",
        "/organization/merchme  MerchMe          NaN   \n",
        "\n",
        "                                                           category_list  \\\n",
        "permalink                                                                  \n",
        "/organization/merchme  |Marketplaces|Technology|Web Development|E-Com...   \n",
        "\n",
        "                                market  funding_total_usd     status  \\\n",
        "permalink                                                              \n",
        "/organization/merchme  Web Development                  0  operating   \n",
        "\n",
        "                      country_code state_code   region     city  \\\n",
        "permalink                                                         \n",
        "/organization/merchme          USA         IL  Chicago  Chicago   \n",
        "\n",
        "                       funding_rounds           founded_at founded_month  \\\n",
        "permalink                                                                  \n",
        "/organization/merchme               1  2015-01-15 00:00:00       2015-01   \n",
        "\n",
        "                      founded_quarter  founded_year     first_funding_at  \\\n",
        "permalink                                                                  \n",
        "/organization/merchme         2015-Q1          2015  2014-09-17 00:00:00   \n",
        "\n",
        "                           last_funding_at  \n",
        "permalink                                   \n",
        "/organization/merchme  2014-09-17 00:00:00  "
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "The company has had funding this year but the founded_year is set wrong. May be it is just bad data. Let us try to ignore this. So we need to add another criteria saying `founded_year` should be less than 2015. but the above simple filtering syntax will not be enough. We need to create a mask."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "mask = (xl.founded_year>=2000) & (xl.founded_year<2015)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "year_gp = xl[(xl.founded_year>=2000) & (xl.founded_year<2015)].groupby('founded_year')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 26
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.status.value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 27,
       "text": [
        "operating    29161\n",
        "acquired      2327\n",
        "closed        1926\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 27
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "type(xl.status.value_counts())"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 28,
       "text": [
        "pandas.core.series.Series"
       ]
      }
     ],
     "prompt_number": 28
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.status.value_counts().operating2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "AttributeError",
       "evalue": "'Series' object has no attribute 'operating2'",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
        "\u001b[1;32m<ipython-input-29-755ea729b897>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mxl\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstatus\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalue_counts\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moperating2\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[1;32m/home/sharmi/installs/virtualenv/crunchbase/local/lib/python2.7/site-packages/pandas/core/generic.pyc\u001b[0m in \u001b[0;36m__getattr__\u001b[1;34m(self, name)\u001b[0m\n\u001b[0;32m   1934\u001b[0m                 \u001b[1;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mname\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1935\u001b[0m             raise AttributeError(\"'%s' object has no attribute '%s'\" %\n\u001b[1;32m-> 1936\u001b[1;33m                                  (type(self).__name__, name))\n\u001b[0m\u001b[0;32m   1937\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1938\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
        "\u001b[1;31mAttributeError\u001b[0m: 'Series' object has no attribute 'operating2'"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "for year, group in year_gp:\n",
      "    print year, len(group)\n",
      "    print group.status.value_counts() *100/len(group)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "2005.0 1412\n",
        "operating    76.416431\n",
        "acquired     14.235127\n",
        "closed        7.365439\n",
        "dtype: float64\n",
        "2006.0 1807\n",
        "operating    75.539568\n",
        "acquired     13.060321\n",
        "closed        9.241837\n",
        "dtype: float64\n",
        "2007.0 2311\n",
        "operating    76.893120\n",
        "acquired     10.731285\n",
        "closed       10.514929\n",
        "dtype: float64\n",
        "2008.0 2328\n",
        "operating    79.982818\n",
        "closed        9.579038\n",
        "acquired      8.290378\n",
        "dtype: float64\n",
        "2009.0 2956\n",
        "operating    81.292287\n",
        "closed        8.694181\n",
        "acquired      7.408660\n",
        "dtype: float64\n",
        "2010.0 3744\n",
        "operating    84.375000\n",
        "closed        7.959402\n",
        "acquired      5.368590\n",
        "dtype: float64\n",
        "2011.0 4855\n",
        "operating    87.785788\n",
        "closed        5.293512\n",
        "acquired      3.872297\n",
        "dtype: float64\n",
        "2012.0 5115\n",
        "operating    92.101662\n",
        "closed        2.287390\n",
        "acquired      1.955034\n",
        "dtype: float64\n",
        "2013.0 3935\n",
        "operating    96.213469\n",
        "closed        0.686150\n",
        "acquired      0.584498\n",
        "dtype: float64\n",
        "2014.0 1291\n",
        "operating    99.070488\n",
        "closed        0.077459\n",
        "dtype: float64\n",
        "2015.0 1\n",
        "operating    100\n",
        "dtype: float64\n"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "index, closed, operating, acquired, unknown = [],[],[],[],[]\n",
      "for year, group in year_gp:\n",
      "    index.append(year)\n",
      "    status = group.status.value_counts() *100/len(group)\n",
      "    operating.append(status.operating)\n",
      "    try:\n",
      "        acquired.append(status.acquired)\n",
      "    except AttributeError:\n",
      "        acquired.append(0)\n",
      "    try:\n",
      "        closed.append(status.closed )\n",
      "    except AttributeError:\n",
      "        closed.append(0)\n",
      "    unknown.append(100 - operating[-1] -acquired[-1] -closed[-1])\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "closed, operating, acquired, unknown = np.array(closed), np.array(operating), np.array(acquired), np.array(unknown)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 31
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "width = 0.35\n",
      "plt.figure(figsize=(15,5))\n",
      "p1 = plt.bar(index, operating, width, color='g')\n",
      "p2 = plt.bar(index, acquired, width, bottom=operating, color='b')\n",
      "p3 = plt.bar(index, closed, width, bottom=acquired+operating, color='r')\n",
      "p4 = plt.bar(index, unknown, width, bottom=closed+acquired+operating, color='y')\n",
      "plt.ylabel('Success %')\n",
      "plt.title('Percentage of Startup Success by Year')\n",
      "#plt.xticks([int(i) for i in index])\n",
      "#plt.yticks(xrange(0,101,10))\n",
      "\n",
      "plt.legend( (p1[0], p2[0], p3[0], p4[0]), ('Operating', 'Acquired','Closed', 'Unknown'), bbox_to_anchor=(1.1, 1.05) )\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 111,
       "text": [
        "<matplotlib.legend.Legend at 0x7f2ae0b39ad0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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hku6NMP91lHn06NEaMmSIPvjgA5UrV04tWrSwWNhrwIAB6tevn27duqX33ntP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\nAACAPWRoSvb8+fPTLPrl7u6ujz76KFu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       "text": [
        "<matplotlib.figure.Figure at 0x7f2ae1749390>"
       ]
      }
     ],
     "prompt_number": 111
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can see that in 2000, almost 20% of the companies are acquired.  We can also see that  between 5-10% of the companies are closed, peaking around 2006-2008."
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "What is the typical duration from date of founding to getting your first funding?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We are fortunate that the data has both founding date and first funding date.  But there are a few unspecified values. So let us select only the records that have the founding date and funding date. "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "xl.info()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 34275 entries, /organization/waywire to /organization/zzzzapp-com\n",
        "Data columns (total 17 columns):\n",
        "name                 34274 non-null object\n",
        "homepage_url         32505 non-null object\n",
        "category_list        32168 non-null object\n",
        "market               32164 non-null object\n",
        "funding_total_usd    34275 non-null int64\n",
        "status               33414 non-null object\n",
        "country_code         31431 non-null object\n",
        "state_code           21621 non-null object\n",
        "region               31431 non-null object\n",
        "city                 31030 non-null object\n",
        "funding_rounds       34275 non-null int64\n",
        "founded_at           34275 non-null object\n",
        "founded_month        34275 non-null object\n",
        "founded_quarter      34275 non-null object\n",
        "founded_year         34275 non-null float64\n",
        "first_funding_at     34275 non-null object\n",
        "last_funding_at      34275 non-null object\n",
        "dtypes: float64(1), int64(2), object(14)\n",
        "memory usage: 4.7+ MB\n"
       ]
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import datetime\n",
      "first_funding_at = pd.to_datetime(xl.first_funding_at, dayfirst=True, errors='ignore')\n",
      "print len(first_funding_at)\n",
      "first_funding_at = first_funding_at[[isinstance(value, datetime.datetime) for index, value in first_funding_at.iteritems() ]]\n",
      "print len(first_funding_at)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "34275\n",
        "34272\n"
       ]
      }
     ],
     "prompt_number": 37
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "founded_at = pd.to_datetime(xl.founded_at, dayfirst=True)\n",
      "founded_at = founded_at[[isinstance(value, datetime.datetime) for index, value in founded_at.iteritems()]]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 38
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "daysdiff = first_funding_at - founded_at\n",
      "daysdiff = daysdiff[pd.notnull(daysdiff)]\n",
      "dayslist=[value.days for index, value in daysdiff.iteritems()]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 39
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.figure(figsize=(15,8))\n",
      "graph = plt.hist(dayslist, bins=range(0, 6000, 365))\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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gohAAAKBgohAAAKBgohAAAKBgohAAAKBgohAAAKBgohAAAKBgohAAAKBgohAAAKBgohAA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\nolc/M9pEAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7feb3b808050>"
       ]
      }
     ],
     "prompt_number": 40
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.figure(figsize=(15,8))\n",
      "graph = plt.hist(dayslist, bins=[0, 30, 60, 90, 180, 365, 365+180, 2*365, 2*365 + 180, 3*365])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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4KZcAAABQpEv+Pn/d3d3p7u6e8v0/7ClNymNWmA7zwlSZFabDvDBVZoXpmKl5\nuaQv+AIAAEB9XNLn/AEAAFAf4g8AAKAA4g8AAKAAl/wFX6bq0KFD+eEPfzj5qqBr166t95Koo+PH\nj6evry/j4+NpaGjIZz/72Xzxi1/MyZMn09vbm+PHj2fevHnZvHlz5syZkyTZtWtXBgYG0tjYmJ6e\nnixdurTOR8Gldu7cuWzZsiXt7e3ZsmWLeeG83njjjTz++OM5evRokuSee+7Jb/zGb5gVzmvXrl3Z\nu3dvGhoactNNN+Wee+7J6dOnzQt57LHHcvDgwcydOzfbtm1Lkg/1/86RI0fS19eXM2fOpLu7Oz09\nPXU7Ji6e883Lj3/84/z7v/97mpubc/311+eee+7JNddck2QG56V2GTp79mzt61//eu3VV1+tnTlz\npvatb32r9vLLL9d7WdRRpVKp/fKXv6zVarXam2++WfvTP/3T2ssvv1z78Y9/XOvv76/VarXarl27\nak899VStVqvVXn755dq3vvWt2pkzZ2qvvvpq7etf/3rt7Nmz9Vo+dfKzn/2stmPHjtr3vve9Wq1W\nMy+c16OPPlr7l3/5l1qtVqtVq9XaG2+8YVY4r1dffbX2ta99rTYxMVGr1Wq17du31wYGBswLtVqt\nVnvuuedqR44cqf35n//55LbpzMa5c+dqtVqttmXLltrw8HCtVqvV/uqv/qp28ODBS3wkXArnm5f/\n+I//mPwZ8dRTT12UebksL/s8fPhwFixYkPnz56e5uTkrV67MgQMH6r0s6qitrS2f+tSnkiRXX311\nbrzxxoyNjeXAgQNZvXp1kmTNmjUZHBxMkgwODmblypVpbm7O/Pnzs2DBghw+fLhey6cORkdHc/Dg\nwdxxxx2p/b8XNTYvvNuvfvWrvPDCC7njjjuSvPV+tNdcc41Z4byuueaaNDU15fTp0zl79mxOnz6d\n9vZ280KS5NOf/vTkWb23TWc2hoeHU6lUcurUqXR2diZJVq1alf3791/aA+GSON+8LFmyJI2Nb+XZ\n4sWLMzo6mmRm5+WyvOxzbGwsHR0dk7fb29v9sGTSsWPH8tJLL2Xx4sUZHx9PW1tbkqS1tTXj4+NJ\nkkqlksWLF08+pqOjI2NjY3VZL/Xxox/9KF/5ylfy5ptvTm4zL7zbsWPHMnfu3Dz22GP5n//5nyxa\ntCh33nmnWeG8rr322vzhH/5h7rnnnsyaNStLly7NkiVLzAvva7qz0dzcnPb29snt7e3tZqZQ//qv\n/5rPfOYmN6uPAAADFElEQVQzSWZ2Xi7LM3/wfk6dOpVt27blzjvvzOzZs9/xuYaGhg987IU+z8fH\nM888k7lz52bRokWTZ/3ezbyQJGfPns0vf/nLfP7zn89DDz2Uq6++Ov39/e+4j1nhbSMjI/nHf/zH\n9PX15Qc/+EFOnTqVn//85++4j3nh/fjeM1U/+clP0tzcPBl/M+myPPPX3t4+eZozeevyrV+vWspU\nrVazbdu2rFq1KrfddluSt/6KduLEibS1taVSqaS1tTWJGSrdiy++mGeeeSYHDx7MmTNn8uabb+bR\nRx81L7xHR0dH2tvbJy+Z+f3f//3s2rUrbW1tZoX3OHLkSH7rt34rLS0tSZLf+73fy3//93+bF97X\ndP7fefvn0a+fuTEz5dm9e3cOHjyY++67b3LbTM7LZXnm75ZbbsnIyEiOHTuWarWaffv2Zfny5fVe\nFnVUq9Xy+OOP58Ybb8yXvvSlye3Lly/P7t27kyR79uzJihUrJrc//fTTqVarOXbsWEZGRiZ/uePj\nb8OGDfnbv/3b9PX15Zvf/Ga6urryjW98w7zwHm1tbbnuuuvyyiuvJEmeffbZfPKTn8zv/u7vmhXe\n44Ybbsjw8HAmJiZSq9Xy7LPPZuHCheaF9zXd/3fa2toye/bsDA8Pp1arZe/evZN/8Obj79ChQ/np\nT3+av/iLv8isWbMmt8/kvDTU3u+aqDo7ePDgO97q4Y/+6I/qvSTq6IUXXsj999+fm266afKyiQ0b\nNqSzs/N9X0L5Jz/5SQYGBtLU1JQ777wzy5Ytq+chUCfPPfdcfvazn+Xee+/9wJfcNi/leumll/KD\nH/wg1Wp18qW1z507Z1Y4r3/4h3/Inj170tDQkEWLFuWrX/1qTp06ZV7I97///Tz//PN57bXX0tbW\nlvXr12fFihXTno23X7p/YmIi3d3dueuuu+p5WFwk756XP/7jP05/f3+q1WquvfbaJMlv/uZvZuPG\njUlmbl4u2/gDAABg5lyWl30CAAAws8QfAABAAcQfAABAAcQfAABAAcQfAABAAcQfAABAAcQfAABA\nAf4vnwABhIXRsLEAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f2ad0dde810>"
       ]
      }
     ],
     "prompt_number": 169
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "daysdiff[daysdiff<30]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 41,
       "text": [
        "permalink\n",
        "/organization/-qounter               -187 days\n",
        "/organization/1                       -12 days\n",
        "/organization/10-minutes-with           0 days\n",
        "/organization/1000memories           -181 days\n",
        "/organization/10bestthings              0 days\n",
        "/organization/140-proof              -194 days\n",
        "/organization/1calendar              -290 days\n",
        "/organization/1daylater              -117 days\n",
        "/organization/1daymakeover              0 days\n",
        "/organization/1eq                    -250 days\n",
        "/organization/1st-choice-lawn-care    -10 days\n",
        "/organization/27-perry                -69 days\n",
        "/organization/2code-online           -274 days\n",
        "/organization/2crisk                  -91 days\n",
        "/organization/2vancouver             -238 days\n",
        "...\n",
        "/organization/zoosk              -245 days\n",
        "/organization/zopa                -59 days\n",
        "/organization/zopim              -122 days\n",
        "/organization/zova                -31 days\n",
        "/organization/zqgame            -1186 days\n",
        "/organization/zsoup                 0 days\n",
        "/organization/zubie                 0 days\n",
        "/organization/zuki                  0 days\n",
        "/organization/zulily              -15 days\n",
        "/organization/zupcat                0 days\n",
        "/organization/zuzuche               0 days\n",
        "/organization/zyken-nightcove       0 days\n",
        "/organization/zykis                 0 days\n",
        "/organization/zynga              -181 days\n",
        "/organization/zzzzapp-com        -194 days\n",
        "Length: 4965, dtype: timedelta64[ns]"
       ]
      }
     ],
     "prompt_number": 41
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "daysdiff[(daysdiff<30)&(daysdiff>0)]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 42,
       "text": [
        "Series([], dtype: timedelta64[ns])"
       ]
      }
     ],
     "prompt_number": 42
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "More than 5000 companies have acquired funds before starting. Zynga is one of them."
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now let us read in the investments data."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rounds = pd.io.excel.read_excel('crunchbase_monthly_export_d43b44299ade53.xlsx', sheetname='Rounds', index_col='funding_round_permalink')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 118
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "What are the types of funding?  How popular are they?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "rounds.info()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 82308 entries, /funding-round/cc409188fa2b63482bd9008f682c2efa to /funding-round/5c5ebcc9d85c2a5f810e319c249a36e7\n",
        "Data columns (total 15 columns):\n",
        "company_permalink        82308 non-null object\n",
        "company_name             82305 non-null object\n",
        "company_category_list    76985 non-null object\n",
        "company_market           76979 non-null object\n",
        "company_country_code     75889 non-null object\n",
        "company_state_code       55483 non-null object\n",
        "company_region           75889 non-null object\n",
        "company_city             74798 non-null object\n",
        "funding_round_type       82308 non-null object\n",
        "funding_round_code       22496 non-null object\n",
        "funded_at                82308 non-null object\n",
        "funded_month             82300 non-null object\n",
        "funded_quarter           82300 non-null object\n",
        "funded_year              82300 non-null float64\n",
        "raised_amount_usd        69883 non-null float64\n",
        "dtypes: float64(2), object(13)\n",
        "memory usage: 10.0+ MB\n"
       ]
      }
     ],
     "prompt_number": 44
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fund_type = rounds.funding_round_type.value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 45
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fund_type"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 46,
       "text": [
        "venture                 41191\n",
        "seed                    20613\n",
        "debt_financing           5593\n",
        "angel                    4381\n",
        "undisclosed              3727\n",
        "equity_crowdfunding      2115\n",
        "private_equity           1801\n",
        "grant                    1454\n",
        "convertible_note          691\n",
        "post_ipo_equity           381\n",
        "product_crowdfunding      229\n",
        "post_ipo_debt              79\n",
        "secondary_market           53\n",
        "dtype: int64"
       ]
      }
     ],
     "prompt_number": 46
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "fund_type.plot(kind='pie', figsize=(10,10))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 49,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x7feb4183b090>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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fiohIx5XaqnGIsn8UEHeSrN4M8ZjbZYiIiOyzxCKNQ5T9o4DYhDGGVJVOUyQi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flml2EKi8XCTTfdRFlZmRbAFukHCoj9qKWlhfnz55Obm8v48eNZvXo1VVVVXHvttRQUFDBnzhyO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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7feb3a4f4690>"
       ]
      }
     ],
     "prompt_number": 49
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "recent_funding = rounds[rounds.funded_year >= 2000]\n",
      "funding_sum = recent_funding[['funded_quarter','raised_amount_usd']].groupby('funded_quarter').sum()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 50
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "funding_sum.plot(kind='bar', figsize=(15, 8))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 51,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x7feb39f90510>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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ro6amJmem2QK2fPnymDp1ajQ0NEQmk4mDDz449tlnnxZtCAAAgH9qtoDtuuuu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\nKaICTEREREREZIqoABMREREREZkifwOJWRHg2FHTRQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7feb3a46aa50>"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can see that over all the funding keeps increasing, and there is more interest in Q1, peaking at Q2 and dipping in Q3 and Q4. So what is the story about 2006-Q3?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "q3_2006 = recent_funding[recent_funding.funded_quarter=='2006-Q3'].sort(\"raised_amount_usd\", ascending=False)\n",
      "q3_2006[['company_name', 'company_market', 'raised_amount_usd']].head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>company_name</th>\n",
        "      <th>company_market</th>\n",
        "      <th>raised_amount_usd</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>funding_round_permalink</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>/funding-round/949ee7711c5604b77dfa2a660eb0ad89</th>\n",
        "      <td>                   Cardinal Health</td>\n",
        "      <td>           Hospitals</td>\n",
        "      <td> 78795064652</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/c7f31e1a300f9e4aa8d8ba8cf93ce6ec</th>\n",
        "      <td>                   Cortina Systems</td>\n",
        "      <td>            Hardware</td>\n",
        "      <td>   132000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/fd84230c623d8a57e63217d5f1f69b1d</th>\n",
        "      <td>                           Lumenis</td>\n",
        "      <td>         Health Care</td>\n",
        "      <td>   120000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/ec2e66080a7fee8bef30b8cb30f48470</th>\n",
        "      <td> United Information Technology Co.</td>\n",
        "      <td> Enterprise Software</td>\n",
        "      <td>   101000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/4ef70909558ae7d85b9ac196d87d2c54</th>\n",
        "      <td>                            Solexa</td>\n",
        "      <td>       Biotechnology</td>\n",
        "      <td>    75000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 52,
       "text": [
        "                                                                      company_name  \\\n",
        "funding_round_permalink                                                              \n",
        "/funding-round/949ee7711c5604b77dfa2a660eb0ad89                    Cardinal Health   \n",
        "/funding-round/c7f31e1a300f9e4aa8d8ba8cf93ce6ec                    Cortina Systems   \n",
        "/funding-round/fd84230c623d8a57e63217d5f1f69b1d                            Lumenis   \n",
        "/funding-round/ec2e66080a7fee8bef30b8cb30f48470  United Information Technology Co.   \n",
        "/funding-round/4ef70909558ae7d85b9ac196d87d2c54                             Solexa   \n",
        "\n",
        "                                                      company_market  \\\n",
        "funding_round_permalink                                                \n",
        "/funding-round/949ee7711c5604b77dfa2a660eb0ad89            Hospitals   \n",
        "/funding-round/c7f31e1a300f9e4aa8d8ba8cf93ce6ec             Hardware   \n",
        "/funding-round/fd84230c623d8a57e63217d5f1f69b1d          Health Care   \n",
        "/funding-round/ec2e66080a7fee8bef30b8cb30f48470  Enterprise Software   \n",
        "/funding-round/4ef70909558ae7d85b9ac196d87d2c54        Biotechnology   \n",
        "\n",
        "                                                 raised_amount_usd  \n",
        "funding_round_permalink                                             \n",
        "/funding-round/949ee7711c5604b77dfa2a660eb0ad89        78795064652  \n",
        "/funding-round/c7f31e1a300f9e4aa8d8ba8cf93ce6ec          132000000  \n",
        "/funding-round/fd84230c623d8a57e63217d5f1f69b1d          120000000  \n",
        "/funding-round/ec2e66080a7fee8bef30b8cb30f48470          101000000  \n",
        "/funding-round/4ef70909558ae7d85b9ac196d87d2c54           75000000  "
       ]
      }
     ],
     "prompt_number": 52
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "venture_funding = rounds[(rounds.funded_year >= 2000) & (rounds.funding_round_type == 'venture')]\n",
      "venture_sum = venture_funding[['funded_quarter','raised_amount_usd']].groupby('funded_quarter').sum()\n",
      "venture_sum.plot(kind='bar', figsize=(15, 8))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 53,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x7feb3a149910>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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jqAEAABSMogYAAFAwihoAAEDBKGoAAAAFo6gBAAAUjKIGAABQMIoaAABAwShqAAAABaOo\nAQAAFIyiBgAAUDCKGgAAQMEoagAAAAWjqAEAABSMogYAAFAwihoAAEDBKGoAAAAFo6gBAAAUjKIG\nAABQMIoaAABAwShqAAAABaOoAQAAFExDb28AAABgc2lY1pzSogVtX6+qb0h9a0uSpG7o8LQMauqt\nrXVKUQMAAGpWadGCrL5ocrvX9T1jSlLQoubQRwAAgIJR1AAAAApGUQMAACgYRQ0AAKBgFDUAAICC\nUdQAAAAKRlEDAAAoGEUNAACgYBQ1AACAglHUAAAACkZRAwAAKBhFDQAAoGAUNQAAgIJR1AAAAApG\nUQMAACgYRQ0AAKBgFDUAAICCUdQAAAAKRlEDAAAoGEUNAACgYBQ1AACAglHUAAAACkZRAwAAKBhF\nDQAAoGAUNQAAgIJR1AAAAApGUQMAACgYRQ0AAKBgFDUAAICCaejsykWLFuWKK67IsmXLUldXlw9+\n8IP58Ic/vMHtfvzjH2fWrFnp169fTjzxxIwcOXKzbRgAAKDWdVrUGhoa8vnPfz677LJLVq5cmcmT\nJ+cf/uEfMmLEiLbbPProo1mwYEEuu+yyzJs3L9OnT88FF1yw2TcOAABQqzo99HHw4MHZZZddkiT9\n+/fPTjvtlCVLlqx3mxkzZuSQQw5Jkuy+++5ZsWJFli5dunl2CwAAsAXY5PeoLVy4MM8880x23333\n9S5vbm7OkCFD2r4eMmRImpubK7dDAACALcwmFbWVK1fmkksuybHHHpv+/ftvcH2pVKr4xgAAALZU\nnb5HLUlaWloyderUvO9978uBBx64wfVNTU1ZvHhx29eLFy9OU1PTBrebPXt2Zs+e3fb1+PHj09jY\n2O6affv27fC6zpir3Fw17NGcOXPVN1cNezRnzlz1zVXDHs313tyq+o4rT319Q7bexLU31z6vv/76\ntj+PGjUqo0aNSrKRolYqlXLVVVdlp512ykc+8pF2b7P//vvnjjvuyOjRozN37twMHDgwgwcP3uB2\n6y661quvvtrufTY2NnZ4XWfMVW6uGvZozpy56purhj2aM2eu+uaqYY/mem+uvrWlw+taW1s2ee3N\nsc/GxsaMHz++3es6LWpPPvlk7rvvvuy88845/fTTkySf/vSns2jRoiTJ2LFjs99++2XmzJmZOHFi\n+vfvnwkTJnR58wAAAPyvTovannvumeuuu26jd3L88cdXbEMAAABbuk0+6yMAAAA9Q1EDAAAoGEUN\nAACgYBQ1AACAglHUAAAACkZRAwAAKBhFDQAAoGAUNQAAgIJR1AAAAApGUQMAACgYRQ0AAKBgFDUA\nAICCUdQAAAAKpqG3NwAAAFA0DcuaU1q0oO3rVfUNqW9tSZLUDR2elkFNm3f9zXrvAAAAVai0aEFW\nXzS53ev6njEl2cxFzaGPAAAABaOoAQAAFIyiBgAAUDCKGgAAQMEoagAAAAWjqAEAABSMogYAAFAw\nihoAAEDBKGoAAAAFo6gBAAAUjKIGAABQMIoaAABAwShqAAAABaOoAQAAFIyiBgAAUDCKGgAAQMEo\nagAAAAWjqAEAABSMogYAAFAwihoAAEDBKGoAAAAFo6gBAAAUjKIGAABQMIoaAABAwShqAAAABaOo\nAQAAFIyiBgAAUDCKGgAAQME09PYGAAAANkXDsuaUFi1Ikqyqb0h9a0uSpG7o8LQMaurNrVWcogYA\nAFSF0qIFWX3R5A0u73vGlKTGippDHwEAAApGUQMAACgYRQ0AAKBgFDUAAICCUdQAAAAKRlEDAAAo\nGEUNAACgYBQ1AACAglHUAAAACkZRAwAAKBhFDQAAoGAUNQAAgIJR1AAAAApGUQMAACgYRQ0AAKBg\nFDUAAICCUdQAAAAKRlEDAAAoGEUNAACgYBQ1AACAglHUAAAACkZRAwAAKBhFDQAAoGAUNQAAgIJR\n1AAAAApGUQMAACgYRQ0AAKBgFDUAAICCUdQAAAAKRlEDAAAoGEUNAACgYBQ1AACAglHUAAAACkZR\nAwAAKBhFDQAAoGAUNQAAgIJp2NgNrrzyysycOTPbbrttpk6dusH1s2fPzsUXX5zhw4cnSQ466KAc\nc8wxld8pAADAFmKjRW3MmDE54ogj8v3vf7/D2+y1116ZPHlyRTcGAACwpdrooY/vfOc7M3DgwE5v\nUyqVKrYhAACALd1GX1HbmLq6usydOzennXZampqa8tnPfjYjRoyoxN4AAAC2SN0uaiNHjsy0adPS\nr1+/zJw5M9/+9rdz6aWXVmJvAAAAW6RuF7UBAwa0/XnffffN9OnTs3z58myzzTbr3W727NmZPXt2\n29fjx49PY2Nju/fZt2/fDq/rjLnKzVXDHs2ZM1d9c9WwR3PmzFXfXDXs0Vxl5lbVt19f6usbsnUH\n99HRzOaae7ON5bv++uvb/jxq1KiMGjUqSQWK2tKlSzNo0KDU1dVl/vz5SbJBSXvzomu9+uqr7d5n\nY2Njh9d1xlzl5qphj+bMmau+uWrYozlz5qpvrhr2aK4yc/WtLe1e3tra0uF9dDSzueberLN8jY2N\nGT9+fLvXbbSofe9738sTTzyRV155JRMmTMgnPvGJtLa2JknGjh2bhx56KHfeeWf69OmTfv36ZdKk\nSZu0YQAAANq30aJ2yimndHr94YcfnsMPP7xiGwIAANjSbfT0/AAAAPQsRQ0AAKBgFDUAAICCUdQA\nAAAKRlEDAAAomG5/jhoAAEBXNCxrTmnRgiRvfLD0up9ZVjd0eFoGNfXW1gpDUQMAAHpUadGCrL5o\ncrvX9T1jSqKoOfQRAACgaBQ1AACAglHUAAAACkZRAwAAKBhFDQAAoGAUNQAAgIJR1AAAAApGUQMA\nACgYRQ0AAKBgFDUAAICCUdQAAAAKRlEDAAAoGEUNAACgYBQ1AACAglHUAAAACkZRAwAAKBhFDQAA\noGAUNQAAgIJR1AAAAApGUQMAACgYRQ0AAKBgFDUAAICCUdQAAAAKpqG3NwAAQHE0LGtOadGCtq9X\n1TekvrUlSVI3dHhaBjX11tZgi6KoAQDQprRoQVZfNLnd6/qeMSVR1KBHOPQRAACgYBQ1AACAglHU\nAAAACkZRAwAAKBhFDQAAoGAUNQAAgIJR1AAAAApGUQMAACgYRQ0AAKBgFDUAAICCUdQAAAAKRlED\nAAAoGEUNAACgYBQ1AACAgmno7Q0AAFD9GpY1p7RoQdvXq+obUt/akiSpGzo8LYOaemtrUJUUNQAA\nuq20aEFWXzS53ev6njElUdSgSxz6CAAAUDCKGgAAQMEoagAAAAWjqAEAABSMogYAAFAwihoAAEDB\nKGoAAAAFo6gBAAAUjKIGAABQMA29vQEAACi6hmXNKS1akCRZVd+Q+taWtuvqhg5Py6Cm3toaNUpR\nAwCAjSgtWpDVF01u97q+Z0xJFDUqzKGPAAAABaOoAQAAFIyiBgAAUDCKGgAAQME4mQgAAL1m3bMp\nJuufUdHZFNmSKWoAAPQaZ1OE9jn0EQAAoGAUNQAAgIJx6CMAAFCWdd9juO77CxPvMewuRQ0AACiL\n9xhuPg59BAAAKBhFDQAAoGAUNQAAgILxHjUAgBrkg6ShuilqAAA1yEkeoLo59BEAAKBgvKIGAEDV\n8fld1DpFDQCAquPQTmqdQx8BAAAKRlEDAAAoGEUNAACgYDb6HrUrr7wyM2fOzLbbbpupU6e2e5sf\n//jHmTVrVvr165cTTzwxI0eOrPhGAQAAthQbLWpjxozJEUccke9///vtXv/oo49mwYIFueyyyzJv\n3rxMnz49F1xwQcU3CgBQSeV+ILQPkgZ6wkaL2jvf+c4sXLiww+tnzJiRQw45JEmy++67Z8WKFVm6\ndGkGDx5cuV0CAFRYuWcNdLZBapGPOyiebp+ev7m5OUOGDGn7esiQIWlublbUAACgSvgHiOKpyMlE\nSqVSJe4GAACAVOAVtaampixevLjt68WLF6epacPGPXv27MyePbvt6/Hjx6exsbHd++zbt2+H13XG\nXOXmqmGP5syZq765atijuS1nblV9x0+D6usbsnUH91Hu3JvVWr5qmVtXV34GPb1eT89Vy8+vo7ki\n7fHNNvZzuP7669v+PGrUqIwaNSpJBYra/vvvnzvuuCOjR4/O3LlzM3DgwHYPe1x30bVeffXVdu+z\nsbGxw+s6Y65yc9WwR3PmzFXfXDXs0dyWM7fue3DerLW1pcP7KHfuzWotX7XMrasrP4Ny13vze79a\ny3jvV0/8DlXLz6+juSLt8c06+zk0NjZm/Pjx7V630aL2ve99L0888UReeeWVTJgwIZ/4xCfS2tqa\nJBk7dmz222+/zJw5MxMnTkz//v0zYcKETdowAADUOu/9olwbLWqnnHLKRu/k+OOPr8hmAAAAqNDJ\nRAAAAKicbr9HDQCAjfNB2cXg88KoFooaAEAP8F6lYvBzoFo49BEAAKBgFDUAAICCUdQAAAAKxnvU\nAAAKzElIYMukqAEAFJiTX8CWyaGPAAAABaOoAQAAFIyiBgAAUDCKGgAAQMEoagAAAAWjqAEAABSM\nogYAAFAwihoAAEDB+MBrAOgFDcuaU1q0IEmyqr4h9a0tbdfVDR2eFh9iDLBFU9QAoBeUFi3I6osm\nt3td3zOmJIoawBbNoY8AAAAFo6gBAAAUjKIGAABQMIoaAABAwTiZCAAA1AhnlK0dihoAABRMuYXL\nGWVrh6IGAAAFo3ChqAEAVW3dVx6S9V99cKgXUK0UNQCgqnnlAahFzvoIAABQMF5RA4Aq4oxuAMVW\nqcOxFTUAqCIO8wMotko9Tjv0EQAAoGAUNQAAgIJR1AAAAApGUQMAACgYRQ0AAKBgFDUAAICCUdQA\nAAAKRlEDAAAoGEUNAACgYBQ1AACAglHUAAAACkZRAwAAKBhFDQAAoGAUNQAAgIJR1AAAAApGUQMA\nACiYht7eAACw+TUsa05p0YIkyar6htS3trRdVzd0eFoGNfXW1tqsu8dk/X0WZY8APUVRA4AtQGnR\ngqy+aHK71/U9Y0pSgBJUDXsE6CkOfQQAACgYRQ0AAKBgFDUAAICCUdQAAAAKRlEDAAAoGEUNAACg\nYBQ1AACAgvE5agAUUjV8QDMAbC6KGgCF5MOPAdiSKWoAEK/gAVAsihoAxCt4ABSLk4kAAAAUjFfU\nAKAbHDIJwOagqAFANzhkEoDNwaGPAAAABaOoAQAAFIyiBgAAUDCKGgAAQMEoagAAAAWjqAEAABSM\nogYAAFAwihoAAEDBKGoAAAAF09DbGwAAiqthWXNKixYkSVbVN6S+taXturqhw9MyqKm3tgZQ0xQ1\nAKBDpUULsvqiye1e1/eMKYmiBrBZOPQRAACgYBQ1AACAglHUAAAACkZRAwAAKBhFDQAAoGCc9RGg\nSq172vRk/VOnb8mnTXc6eQBqgaIGUKWcNr19vi8A1IKNFrVZs2blmmuuyZo1a/KBD3wg48aNW+/6\n2bNn5+KLL87w4cOTJAcddFCOOeaYzbNbAACALUCnRW3NmjX50Y9+lDPPPDNNTU356le/mv333z8j\nRoxY73Z77bVXJk9u/18vAYAtT0eHoDr8FGDTdFrU5s+fn+233z7Dhg1LkowePTozZszYoKiVSqXN\nt0MAoOp0dAiqw08BNk2nZ31sbm7OkCFD2r5uampKc3Pzerepq6vL3Llzc9ppp+Vb3/pWnnvuuc2z\nUwAAgC1Et08mMnLkyEybNi39+vXLzJkz8+1vfzuXXnppJfYGAACwReq0qDU1NWXx4sVtXy9evDhN\nTesfrjBgwIC2P++7776ZPn16li9fnm222Wa9282ePTuzZ89u+3r8+PFpbGxsd92+fft2eF1nzFVu\nrhr2aM7clj63qr7jh/D6+oZsvYlrF/Wxpdx85oo9Vw17NGfOXPXNVcMeO5q7/vrr2/48atSojBo1\nKslGitquu+6al156KQsXLkxTU1MeeOCBTJo0ab3bLF26NIMGDUpdXV3mz5+fJBuUtDcvutarr77a\n7rqNjY0dXtcZc5Wbq4Y9mjO3pc+t+/lgb9ba2rLJaxf1saXcfOaKPVcNezRnzlz1zVXDHtuba2xs\nzPjx49u9badFrb6+Pscdd1wuuOCCttPzjxgxInfeeWeSZOzYsXnooYdy5513pk+fPunXr98GRQ6A\nYvFB2QDoqoVvAAAgAElEQVRQfBt9j9q+++6bfffdd73Lxo4d2/bnww8/PIcffnjldwbAZuEDoQGg\n+Do96yMAAAA9T1EDAAAoGEUNAACgYBQ1AACAglHUAAAACmajZ30EgMRp/QGgJylqAGwSp/UHgJ6j\nqAGwWa37Sty6r8IlXokDgI4oagBsVl6JA4CuczIRAACAglHUAAAACkZRAwAAKBhFDQAAoGAUNQAA\ngIJR1AAAAApGUQMAACgYRQ0AAKBgFDUAAICCUdQAAAAKRlEDAAAoGEUNAACgYBQ1AACAglHUAAAA\nCkZRAwAAKBhFDQAAoGAaensDAFu6hmXNKS1a0Pb1qvqG1Le2JEnqhg5Py6Cm3toaANBLFDWAXlZa\ntCCrL5rc7nV9z5iSKGoAsMVR1ICa5ZUqAKBaKWpAzerpV6oUQwCgUhQ1gApxCCMAUCnO+ggAAFAw\nihoAAEDBKGoAAAAFo6gBAAAUjJOJALyJszcCAL1NUQN4E2dvBAB6m0MfAQAACkZRAwAAKBhFDQAA\noGAUNQAAgIJR1AAAAApGUQMAACgYRQ0AAKBgFDUAAICCUdQAAAAKRlEDAAAoGEUNAACgYBQ1AACA\nglHUAAAACkZRAwAAKBhFDQAAoGAUNQAAgIJR1AAAAApGUQMAACgYRQ0AAKBgFDUAAICCUdQAAAAK\nRlEDAAAoGEUNAACgYBQ1AACAglHUAAAACkZRAwAAKBhFDQAAoGAUNQAAgIJR1AAAAApGUQMAACgY\nRQ0AAKBgFDUAAICCUdQAAAAKRlEDAAAoGEUNAACgYBQ1AACAglHUAAAACqahtzcAsDENy5pTWrSg\n7etV9Q2pb21JktQNHZ6WQU29tTUAgM2iqouaJ2/Qfev+HhX1d6i0aEFWXzS53ev6njElKcg+AQAq\npaqLmidv0H0d/R75HQIA6D2FKGpeGQMAAPhfhShqXhmjyDo6NDDZcv8hodx/XPGPMgAAm6YQRa3W\neXJa3fxDwobK/Z74XgIAbJotsqj1dHGq9SenXnECAIDK2iKLWq0Xp57m+1kMCjMAQO3YaFGbNWtW\nrrnmmqxZsyYf+MAHMm7cuA1u8+Mf/zizZs1Kv379cuKJJ2bkyJGbZbO9zSGMFJnCDABQOzotamvW\nrMmPfvSjnHnmmWlqaspXv/rV7L///hkxYkTbbR599NEsWLAgl112WebNm5fp06fnggsu2Owb7w09\n/US4p4thT78iYz3FCQCA9nVa1ObPn5/tt98+w4YNS5KMHj06M2bMWK+ozZgxI4ccckiSZPfdd8+K\nFSuydOnSDB48eDNue8tQbjEst+D1dBGtRL6uFKBazwcAQO3otKg1NzdnyJAhbV83NTVl/vz5nd5m\nyJAhaW5uVtR6Ua0fAidfdecDAGDj+lTiTkqlUiXuBgAAgCR1pU5a1ty5c3PDDTfk61//epLk5ptv\nTl1d3XonFPnBD36QUaNGZfTo0UmSU045JWefffYGr6jNnj07s2fPbvt6/PjxFQ0CAABQba6//vq2\nP48aNSqjRo1KspFX1Hbddde89NJLWbhwYVpaWvLAAw9k//33X+82+++/f37/+98neaPYDRw4sN3D\nHkeNGpXx48e3/W9TN9sV5io3Vw17NGfOXPXNVcMezZkzV31z1bBHc+Y6sm5HWlvSko28R62+vj7H\nHXdcLrjggrbT848YMSJ33nlnkmTs2LHZb7/9MnPmzEycODH9+/fPhAkTygoAAADAGzb6OWr77rtv\n9t133/UuGzt27HpfH3/88ZXdFQAAwBas/uyzzz67tzfRnrUfCWCu9+aqYY/mzJmrvrlq2KM5c+aq\nb64a9mjOXFd0ejIRAAAAel5FTs8PAABA5ShqAAAABVOVRa21tTW/+c1vcu2112bOnDnrXXfTTTf1\n0q4qp5bz1XK2RL5qJ1/1quVsiXzVTr7qVcvZEvmKrrBF7eqrr+7wuh/84Ad54oknss022+QnP/lJ\nfvrTn7Zd9/DDD3c499prr+Wmm27Kb37zm7S2tuaGG27IRRddlGuvvTarV6/u0v4mTZrUpdu/WaXz\n1XK2RL6ukK9z8vVevlrOlsi3MfLJt65azpbI1xXydWyjp+ffnJYvX97u5aVSKY8++miHc/Pnz8/U\nqVOTJIcffnimT5+e73znOzn55JM7Xe+KK67I8OHDs2TJkpx99tl529veliOPPDIzZszI9OnTc+KJ\nJ7Y797nPfS51dXVZ97wrq1atart83R96b+Wr5WzyySdf9eWr5WzyySdf9/PVcjb55Otqvo70alE7\n/vjjM3To0Have+WVVzqca21tbftzQ0NDvvzlL+eGG27Ieeedl5UrV3Y4t2DBgpx22mkplUr50pe+\nlHPOOSd9+vTJO9/5zpx22mkdzh166KF57bXX8pnPfCaDBw9OqVTKV77ylVxxxRWFyVfL2eSTT77q\ny1fL2eSTT77u56vlbPLJ19V8HenVojZs2LB885vfzHbbbbfBdRMmTOhw7u1vf3tmzpy53gdxf+IT\nn0hTU1OmT5/e4VxdXV3b/++7777p06fPepd35Ljjjsv//M//5NJLL80BBxyQww8/vNPbr9WT+Wo5\nWyJfR+Rrn3zt68l8tZwtka8j8rVPvg3VcrZEvo7I10WlXvTrX/+69PTTT7d73W233Vbx9a688srS\na6+9tsHlL774Yukb3/jGRudbW1tLt912W+nMM88sffGLX9zo7XsyXy1nK5Xk2xj51idfZXUnXy1n\nK5XkezP5KquW89VytlJJvo2Rb9NU7QdeL1u2LHfccUeeffbZtLa2Zuedd85hhx3W4cuiG7NmzZq2\ntrwxS5YsydNPP5399tuvrLU2RSXz1XK2RL51ydd98nXNpuar5WyJfJUgX9fUcr5azpbIty75Otfr\nRa2cb96cOXNy2WWX5ZBDDsmuu+6aUqmUp556Kr///e9z8skn58EHH8yxxx5bsfV6eq7cfLWcTT75\n5Ku+fLWcTT755Ot+vlrOJp98lSiG9WefffbZXZ6qkDlz5uTCCy/M2972tuy7777ZZZddsnTp0vz0\npz/Nbrvtlv/6r//KPvvss8HcJZdckokTJ+a9731vdtxxx+y0005517velVGjRuW8887LdtttlwMP\nPLBi6/X0XDn5ajmbfPLJV335ajmbfPLJ1/18tZxNPvm6Otehsg+arICvfvWrpaeeemqDy59++unS\n5z73udLll1/e7twpp5zS4X1OnDix1NraWtH1enqunHy1nK039imffG8mX9fWq+VsvTEnn3w9sU/P\nWzbkZydfT+yzI736gdevv/56Ro4cucHlu+yySwYNGtThZxQk7X+ewvLly1NfX9/hcaPlrtfTc2uz\ntHdZR/lqOVtv7FM++d58mXxdW6+Ws/XG3Nos7V0mn3y9Pbc2S3uXed7SM/uUr7rzdaRXi1pS3jfv\nIx/5SM4///zMnj07r7/+el5//fU89thjueCCC/LhD3+44uv19Fy5+Wo5W0/vs9w5+TomX+/P9XS+\nWs7W03PydUy+3p/zvKX391nunHwd6+l87enV96g1NDTkmmuuyQ477JDGxsa0tLTkySefzBVXXJEP\nfehD2XXXXdude/vb3563vOUtuemmm3Lttdfmv//7v/Pss8/mqKOOyvve976Kr9fTc+Xkq+Vs8skn\nX/Xlq+Vs8sknX/fz1XI2+eTr6lxHev2sj3/6059y66235rnnnkuSjBgxIkceeWT233//Qq3X03Pl\nqOVsvbFP+SpLvmLMlauc9Wo5W2/MlUu+YsyVq5bz1XK23tinfJVViH126R1tBXbdddf19hY2q1rO\nV8vZSiX5qp181auWs5VK8lU7+apXLWcrleQrkl5/j9qbXX/99WXNzZgxo0fX6+m5cvLVcrburCdf\nZefkq+x6tZyvlrP1xpx8lV1PvsrOed5SufXkq+xcteRLCnAykTcr95tXKvMIznLX6+m5nlyrGrJ1\nZ72enqv1v5vyVXa9Ws7nsaWyc/5uVnY9+So715NrVUO27qzn72Zl56olX1LAolbuN2/KlCk9ul65\nc+W66KKLenS9nlQt2Wr976Z87ZOvcut53GxfNfzsemNOvsqu5/evcqolW63/3az1fEkBTibyZmvW\nrNmkU1fOmjUrf/zjH9Pc3JwkGTJkSA444ICufdp3F9br7bm1brzxxnz84x/frGtt7rlZs2alubk5\n73rXuzJs2LC2y+++++584AMfKMw+y5lraWnJAw88kG233Tb77LNP7r333vzP//xPRo4cmTFjxqSu\nrq4Q+6zk3DnnnJOzzjqrx9bbnHOvvPJKtt1227avf//732f+/PnZeeed88EPfrDqf34PP/xw9tpr\nrzQ2NmbZsmX5+c9/nqeffjojRozI5z73uQwZMmSz7nNzZrvmmmty8MEHZ8899+zy/ZezXk/Pvfrq\nq7n99tvT1NSUMWPG5JZbbsmTTz6ZESNG5Kijjso222xTiH12Z+6xxx7LQw89lMWLF6dPnz7Zcccd\n88EPfjDbb799ofZZ7pznLZtvLc9byp/zvGXzr9ed36FePT1/8sZf/l/96le58847c//992fOnDmp\nr6/v9IH5Jz/5SWbNmpUDDjgg++67b/bcc88MHDgwd911V+bNm5d99923out1Z+7N1v6Fv/HGG7PX\nXnt1aTZJLr/88nz0ox/drGtt6tysWbPy+OOPZ+DAgRk4cGDb3N13393uh/0lyS9+8Yvcf//96dOn\nT6699tokye67754kmTZtWsaOHVvR9cqda2lpyf33358lS5Zk++23z7333pu77747S5cuzS677NLh\nA9fVV1+dv/71r5k3b14eeeSRPPvss9l7770zc+bMzJ8/P3vvvXdF1yt3rj3nnntuDj300E5vc+qp\np+bOO+/MHXfckd/85jf5zW9+k2eeeSYPPPBA7rzzznzoQx+q6Hrlzr3yyivp169f29e///3vc/fd\nd2fx4sUZOXJkh9+XM888s+3v4E033ZRHH3207ec3d+7cDp9QlbteuXMPP/xwBg0alH79+mXZsmWZ\nPn16rr/++jz++OPZY489svXWW7c7N3Xq1Bx55JFJkiuvvDK77rprPv3pT6e+vj433XRTDjnkkIqt\nV+4er7nmmvTv3z9Dhw5tu2xT/h5ffvnlmTdvXm666aYsXbo0jY2Nectb3rLRuXLXK3fu1Vdfza9+\n9au89NJL2WWXXXLzzTfn1ltvzTPPPJNdd901ffv2bXdu6tSp2WabbfLyyy/nv/7rv9KvX78cdthh\nWbRoUX77299m9OjRFV2v3LnkjcK19r+XDz74YP76179m2LBhnZbJf//3f8+TTz6ZvfbaKy+++GKG\nDx+eHXbYIf/3//7fDBw4MG9961srul535jxv6RrPWzxvqcRce2rpeUtHGsqaqpCf/OQneemll/L+\n978/TU1NSZLFixfn17/+dR599NEcd9xx7c7NnDkzl1122QaXjx49OieffHLF1yt3rjN33XVXh//C\n9LnPfa7DudWrV1d0rXLnfvGLX+TJJ5/MyJEjc/PNN+eII45o++DA22+/vcN/YfrTn/6UKVOmpKGh\nIZ/4xCdy6aWXZuHChfn85z/f6V7KXa/cuR/+8Id57bXX0tLSknvuuSd///vfc/DBB+dPf/pTnn/+\n+Xz2s59td27evHm55JJL0tLSki9+8Yv5wQ9+kK222iqjR4/O5MmTO5wrd71y50499dTU1dWt93L8\niy++2Hb5d77znXbnhg0blgEDBuToo49Ov379UiqVctZZZ+WMM87o9KX9ctcrd+7888/PxRdfnOSN\nwjVnzpyMHj06f/rTn/Lcc8/l2GOP7XCvaz388MM599xz079//7z3ve/N5MmTO7xtueuVO3fttdfm\nu9/9bpLkRz/6UfbYY4986lOfymOPPZYrr7wyZ555Zrtza9asafvzggUL8v/9f/9fkuTQQw/Nbbfd\n1mG+ctYrd4/33Xdf5syZk2XLlmX06NEZPXp0p09o1hoyZEguuuiivPDCC3nggQdy+eWXp7W1Ne99\n73szevTo7LjjjhVdr9y5yy+/PDvvvHOeeuqp3Hfffdl5553zf/7P/8lf/vKXXHnllTn99NPbnVuy\nZEm+9rWvpVQq5ctf/nLW/hvrXnvtldNOO63i65U79+///u9ZunRp3v3ud+ePf/xjhg0bluHDh+eS\nSy7JuHHj8k//9E/tzj366KOZOnVqkjf+W37WWWflc5/7XA4++OB885vf7HCu3PXKnfO8xfMWz1u6\nt57nLe3PdaRXi1q5D1xbbbVV5s+fn9122229y+fPn9/pv/KVu165c+U+cA0cODDf+ta3Mnjw4A2u\nmzBhQkXXKneu3AeuNWvWpKHhjb92AwcOzOTJk3P11Ve3PUhUer1y58p94Kqvr0/yxgce7rbbbtlq\nq63aLu/sX4nKXa/cuXIfuCZPnpyHH344P/jBD/Kxj30sBxxwQPr06ZPtttuuw5nurFfu3Lq6UrhW\nr16dp556KknS2tqa/v37J3nj57mphy10Zb1y58otXHvttVeuu+66HHXUURk1alQefvjhHHTQQXns\nscc6fIWr3PXK3WO5hWutHXfcMR//+Mfz8Y9/PM8880z+8Ic/5Fvf+lYuv/zyiq5X7ly5hWvNmjVZ\nvnx5Vq5cmZUrV2bhwoUZNmxYXnnllfW+15Var9y5cgtXnz598uqrr6axsTHNzc1tv98be3Wr3PXK\nnfO8pX2et1RuPc9bPG9ZV68WtXIfuE466aT88Ic/zMqVK9v+pai5uTkDBgzISSedVPH1yp0r54Er\nSd7//vdn0aJF7c51dHhLuWuVO1fuA9ewYcPy+OOPtx2aUF9fnxNPPDHXXntt/vjHP1Z8vXLnyn3g\nGjx4cFauXJn+/fvn61//etvlS5YsadtHJdcrd67cB64kOeigg7L33nvn2muvzT333NPp97G765U7\nV27hGjx4cH7+858nSbbddts0Nzenqakpr7zyStv3upLrlTtXbuE6/vjj88tf/jKTJk1Kktx2223p\n27dv3vOe92TixIkVXa/cPa7V1cLVnl122SW77LJL/uVf/mWzrdfVuXIL10c/+tGcfPLJGThwYCZN\nmpTzzjsvw4YNy/PPP59Pf/rTHc6Vu165c+UWrqOOOiqTJ0/ODjvskBdeeCFf+MIXkiTLli3L2972\ntoqvV+6c5y3t87ylcut53tK+Wn/e0pFeLWrlPnC9/e1vz7e+9a0sWbIkS5YsSZI0NTW1+0tbifXK\nnSvngStJp//R/cxnPlPRtcqdK/eB69RTT2338k996lOdHudd7nrlzpX7wLXubdc1YMCAnHHGGRVf\nr9y5pLwHrrX69++fY489Ns8880zmzp27STPlrlfOXLmFq6O37G6zzTYdXted9cqdK7dwNTQ0ZPz4\n8Rk/fnxWrFiR1tbWNDY2bvQ9AeWsV+4e27Mpheucc87p0n12d71y58otXGPGjMn73ve+9OnTJ336\n9Mmee+6Z559/PsOHD1/vBDiVWq/cuXIL1z/90z/l3e9+dxYsWJAddtghAwcOTJIMGjSo7e9QJdcr\nd64Sz1vWnkykqalpo++j9LylcnOet7TP85bKr9edfb5ZIc762NXClbxxqst58+atd/ak3XbbbZPe\nhFjOet2ZK8e6+erq6tLU1LTJ+XrC2sML2vuXucWLF3d69rhyspW7Xnf22Z6VK1dm1apVGTRoUIe3\nqeTPblPWq8Tc2geuTXlT7Zo1azJ//vwsWbIkpVKpS7975axXibm11qxZk9WrV7e9ctWetT+/dX/X\ny/35bcp63Z3rSuFK3sg3f/789Z4sdiVfV9fr6szrr7+eAQMGbNL9vtnav5td+d0rd73u7LOlpaWt\ncL322mubVLiS//3ZLV68uEuPLeWuV+7cq6++ukHh2hTl/u6Vu165c0m6XLg68/zzz2ennXbaLOtV\ncp/l2pR8PaHSzweSzrNV0/OWjpTzsyvi85aOdCVfbz1v6fWiVk7h+vOf/5zp06dn++23b/sLu3jx\n4rz00ks5/vjjOz3VbbkFrxJzm/of1nLzlVsQenKuUj87+bo/V07h6k6+cgteuXPlPOmrxM+vq08y\nuzPX1cLV3XxdXa/cUlhO4arE381yf4fK+Z3tauGqxM+uqwWvO3O1/LvXkXILyYQJEzJt2rQeW6+n\n58rJV8vZurOefJWdq4Z8vXroY7kPzD/5yU9y5plnrvdZFkmycOHCXHjhhfne975X0fV6eq6cfLWc\nTT755Ku+fLWcTb4tN19nzj///A6f9P34xz/ucG7FihVdXmtj6/X0XKXz1XK2ja3X03PydV1P5uv1\n0/OX88C8Zs2atmOu19XU1JTW1taKr9fTc+Xkq+Vs8sknX/Xlq+Vs8m25+cp90nfvvffms5/9bNuJ\nE9Z1//33dzhX7no9PVdOvlrO1p315KvsXLXk60ivFrVyH5jHjBmTr371qxk9evR6/xL2hz/8IWPG\njKn4ej09V06+Ws7WG/uUr33yFWOf1ZCvlrP1xpx8xdhnuU/6dt1117z1rW/NnnvuucF1N9xwQ8XX\n6+m5cvLVcrbe2Kd87auWfB3p1aJW7gPzUUcdlQMOOCCPPPJI5s2bl+SNB9dJkyZlxIgRFV+vp+fK\nyVfL2eSTT77qy1fL2eTbcvOV+6Tv1FNPbfeJW5JcccUVFV+vp+fKyVfL2Xpjn/K1r1rydaTXTyby\n3HPP5ZFHHlnvzbz7779/pw/MvbFeT8+Vo5az9cY+5ass+YoxV65y1qvlbL0xVy75Kje3fPnybLXV\nVunXr1/lAnSi3PV6eq4ctZytO+vJV9m5chVln71e1MqxYsWK3HLLLXnkkUeybNmyJG981soBBxyQ\ncePGdfk0u0VTy/lqOVsin3zFVsv5ajlbIp98xVbL+Wo5WyJf0fP1alEr95t3/vnn513velcOPfTQ\nDBo0KHV1dVmyZEl+97vf5bHHHss3vvGNiq7X03Pl5KvlbPLJJ1/15avlbPLJJ1/389VyNvnkq1gx\nLPWi8847r3TzzTeXlixZUlqzZk2pVCqVmpubSzfffHPpvPPO63Du5JNPLuu6ctfr6bly8tVyNvnk\nk6/68tVyNvnkk6/7+Wo5m3zydXWuI326Vusq6+WXX864ceMyePDgtg+YfMtb3pJx48bl5Zdf7nBu\n6NChufXWW7N06dK2y5YuXZpbbrklQ4cOrfh6PT1XTr5aziaffPJVX75aziaffPJ1P18tZ5NPvq7O\ndaT+7LPPPrvLUxUyY8aMLF26NNtvv3369++f5I1v3u23357ly5fnkEMOaXfuPe95T/7yl7/kF7/4\nRa677rrceuuteeihhzJ06ND867/+a/r27VvR9Xp6rpx8tZxNPvnkq758tZxNPvnk636+Ws4mn3xd\nnetIr75Hbfny5bnlllsyY8aM9Y7j3H///TNu3Lhss802Hc4+99xzaW5uzu67754BAwa0XT5r1qzs\ns88+FV2vp+fKyVfL2eSTT77qy1fL2eSTT77u56vlbPLJV84+29XlgyUr7Nlnny39+c9/Lr322mvr\nXT5z5swOZ2677bbSySefXJoyZUppwoQJpYcffrjtutNOO63i6/X0XLn5ajlbT++z3Dn5irHPcufk\nq+x6tZytp+fkK8Y+y52Tr/f3WO6cn10x9lnuXDXla0+vfuD1f//3f+eOO+7ITjvtlKuuuirHHnts\nDjzwwCTJL37xiw5b7l133ZUpU6akf//+WbhwYaZOnZqXX345H/nIRzbLej09V06+Ws4mn3zyVV++\nWs4mn3zydT9fLWeTT76uznWkV4taud+8UqnUdtznsGHDcs4557TNljo5krPc9Xp6rpx8tZxNPvnk\nq758tZxNPvnk636+Ws4mn3xdnetIr571sb1v3qxZs3LNNdd0+s0bNGhQnnnmmbav+/fvn8mTJ2f5\n8uX529/+VvH1enqunHy1nE0++eSrvny1nE0++eTrfr5aziaffF2d60ivFrVyv3knnXRSBg8evN5l\nDQ0NOemkk3LOOedUfL2enisnXy1nk08++aovXy1nk08++bqfr5azySdfV+c6VOpFL7/8cmnJkiUb\nXL5mzZrSE088UZj1enquHLWcrTvryVfZuXLJV4y5cpWzXi1n6425cslXjLly1XK+Ws7WnfXkq+xc\nuYqyz149PT8AAAAb6tVDHwEAANiQogYAAFAwihoAAEDBKGoAdNsLL7yQ0047LZ///Odz++23V+x+\nFy5cmE9+8pNZs2ZNj84CQG9T1ADotltvvTXvfve789Of/jSHH354b2+n0D75yU9mwYIFvb0NAApO\nUQOg2xYtWpQRI0b09jYKrbW1te3P5Z5wed37AKC2NfT2BgCobuecc06eeOKJzJkzJ9dcc00GDBiQ\nT37yk/nABz6QJLn33ntz991359xzz03yxitKX/jC/9/e3YU0vcdxHH9vuE1mD9NNpC56WFb2QAQS\nJSVGjCAXlUEPNxbpkSElRSCFEOGNGdWF1OiBJLKIKIKIHsAkyKgocnmREWhWF+mIaSI5N1vzXBzO\nn3ZOUzknzhH7vK7+D9/v7/f/3Qy+//+X337j9u3b9Pf3s2rVKkpLSwGIx+NcvnyZhw8fYrfb8Xq9\nCXOFw2EuXrxIa2srJpOJ1atXs3XrVsxm86i5yXz69Am/38/79++ZO3cu06ZNIxwOU1FRQVtbG6dO\nneL06dNG/O7duykvL2fx4sV0dHRw4cIFurq6sFqtLF++nB07dpCSkmKstaSkhLt37/Lt2zecTicA\nlZWVmEwmysvLycvLo6WlhatXrxoFb1lZGTNmzDDmW7t2LY8ePaK7u5tLly5hNus9q4jIRKdCTURE\n/pXDhw9TXV1Nfn4+a9asobq6etScQCDAkSNHCIfDHDx4kNzcXJYuXUpTUxMvX77k2LFjWK1WTpw4\nkZDn9/txOBycPHmSSCRCbW0tLpcLj8czam4ydXV1zJ8/n0OHDtHe3k5tbS3Lli0bU67ZbGbXrl24\n3fFMn9cAAAPESURBVG56enqoqamhsbGRwsJCI+bFixfU1NRgtVqxWCxs27aN48ePk5WVBcC7d+84\nc+YMBw4cYM6cOTQ3N3P06FHq6uqMgu/JkydUVVUxefJkFWkiIr8I/dqLiMh/btOmTdjtdlwuF4sW\nLeLDhw8APH36FK/XS0ZGBpMmTaKoqMjI6evro7W1lZ07d2K1WpkyZQqFhYU8fvx41NxkQqEQnZ2d\nbN++nZSUFBYsWEBubu6Y1+F2u8nOzsZsNpOZmYnH4+H169d/W2taWhoWi+WHYzQ1NeHxeMjOzsZk\nMlFQUIDFYqG9vd2IWbduHRkZGUnHEBGRiUdf1ERE5D/ncDiMY5vNRiQSAf4oxv5sDwRwuVzGcSgU\nIhaL4fP5jGvxeNyIGSk3md7eXtLS0rBarQl5PT09Y1pHV1cXDQ0NdHZ2Eo1GicfjuN3uhJjvn+lH\nQqEQzc3NCbtlxmIxPn/+POYxRERk4lGhJiIiP5XNZiMajRrnfX19Y851OByEQiHj/Ptjp9OJxWKh\nvr7+h+1/I+Umk56ezsDAANFoFJvNZuT9Of5f1xKPx+nv7zfOz58/j9vtZt++faSmpnLnzh2ePXuW\nMIfJZBrxGZxOJ0VFRWzevDlpzGhjiIjIxKPWRxER+almzZrF8+fPGRoaIhgM8uDBgxHjh4eHjV0Q\n8/LyuHfvHr29vXz58oWbN28acenp6SxZsoSGhgYGBweJx+MEg0Gj1XCk3GQyMzNxu91cu3aNWCzG\nmzdvaGlpMe5Pnz6dr1+/EggEiMVi3Lhxg1gsZtyPRCKkpqZis9n4+PEjjY2No845derUhO35PR4P\n9+/fp6Ojg+HhYSKRCIFAwPjKKCIivyZ9URMRkZ/K6/Xy9u1bysrKmDlzJvn5+bx69SppvMlkMr4Y\neTweuru7qaysxG63s379etra2ozYPXv2cOXKFfbv38/g4CBZWVls3LhxTLnJ7N27F7/fT0lJCfPm\nzaOgoICBgQEA7HY7paWlnD17lng8zoYNGxLaEIuLizl37hy3bt1i9uzZrFy5ctQ5t2zZgt/vZ2ho\nCJ/Px4oVK/D5fNTX1xMMBrFareTk5LBw4cJRn11ERCYu0/A//TMXERGRCej69esEg0EqKir+70cR\nEZFfmFofRUREvqP3lyIiMh6o9VFERCa84uLiH27IUVVVRU5OTsK171sxRURE/i9qfRQRERERERln\n1PooIiIiIiIyzqhQExERERERGWdUqImIiIiIiIwzKtRERERERETGGRVqIiIiIiIi44wKNRERERER\nkXHmd2AQunoR03+3AAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7feb3a0def10>"
       ]
      }
     ],
     "prompt_number": 53
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "seed_funding = rounds[(rounds.funded_year >= 2000) & ((rounds.funding_round_type == 'seed') | (rounds.funding_round_type=='angel'))]\n",
      "seed_sum = seed_funding[['funded_quarter','raised_amount_usd']].groupby('funded_quarter').sum()\n",
      "seed_sum.plot(kind='bar', figsize=(15, 8))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 54,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x7feb37b10090>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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hQ9e63Z577pkJE9o+XSkAAACd0+Ghj3PmzMnWW2+dwYMHp6GhISNGjMiUKVPW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\n1mvUCQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7feb37b19450>"
       ]
      }
     ],
     "prompt_number": 54
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Which investor has invested the most money?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "For this we need the next sheet of data."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "investments = pd.io.excel.read_excel('crunchbase_monthly_export_d43b44299ade53.xlsx', sheetname='Investments', index_col='funding_round_permalink')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 55
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "To see the behaviours of investment firms, let us group the data by investment name."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "investments.info()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 112590 entries, /funding-round/3b01561dd8c054727c9ddc0705a73f4c to /funding-round/e732b70e579f61fd973820ea9e348d7d\n",
        "Data columns (total 23 columns):\n",
        "company_permalink         112590 non-null object\n",
        "company_name              112587 non-null object\n",
        "company_category_list     108648 non-null object\n",
        "company_market            108647 non-null object\n",
        "company_country_code      105300 non-null object\n",
        "company_state_code        77851 non-null object\n",
        "company_region            105300 non-null object\n",
        "company_city              103940 non-null object\n",
        "investor_permalink        112528 non-null object\n",
        "investor_name             112528 non-null object\n",
        "investor_category_list    28906 non-null object\n",
        "investor_market           28854 non-null object\n",
        "investor_country_code     85082 non-null object\n",
        "investor_state_code       61418 non-null object\n",
        "investor_region           85082 non-null object\n",
        "investor_city             84574 non-null object\n",
        "funding_round_type        112590 non-null object\n",
        "funding_round_code        53847 non-null object\n",
        "funded_at                 112590 non-null datetime64[ns]\n",
        "funded_month              112590 non-null object\n",
        "funded_quarter            112590 non-null object\n",
        "funded_year               112590 non-null int64\n",
        "raised_amount_usd         99563 non-null float64\n",
        "dtypes: datetime64[ns](1), float64(1), int64(1), object(20)\n",
        "memory usage: 20.6+ MB\n"
       ]
      }
     ],
     "prompt_number": 56
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "invest_gp = investments[['investor_permalink', 'raised_amount_usd']]\\\n",
      ".groupby('investor_permalink').sum()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 57
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "type(invest_gp)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 60,
       "text": [
        "pandas.core.frame.DataFrame"
       ]
      }
     ],
     "prompt_number": 60
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "invest_gp.sort('raised_amount_usd', ascending=False).head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>raised_amount_usd</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>investor_permalink</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>/organization/kleiner-perkins-caufield-byers</th>\n",
        "      <td> 16460723024</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/new-enterprise-associates</th>\n",
        "      <td> 13187618119</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/sequoia-capital</th>\n",
        "      <td> 13019932802</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/accel-partners</th>\n",
        "      <td> 12206334596</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/intel-capital</th>\n",
        "      <td> 10195565636</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 62,
       "text": [
        "                                              raised_amount_usd\n",
        "investor_permalink                                             \n",
        "/organization/kleiner-perkins-caufield-byers        16460723024\n",
        "/organization/new-enterprise-associates             13187618119\n",
        "/organization/sequoia-capital                       13019932802\n",
        "/organization/accel-partners                        12206334596\n",
        "/organization/intel-capital                         10195565636"
       ]
      }
     ],
     "prompt_number": 62
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Who is the biggest investor in India?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "investments[investments.investor_country_code == 'IND']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>company_permalink</th>\n",
        "      <th>company_name</th>\n",
        "      <th>company_category_list</th>\n",
        "      <th>company_market</th>\n",
        "      <th>company_country_code</th>\n",
        "      <th>company_state_code</th>\n",
        "      <th>company_region</th>\n",
        "      <th>company_city</th>\n",
        "      <th>investor_permalink</th>\n",
        "      <th>investor_name</th>\n",
        "      <th>...</th>\n",
        "      <th>investor_state_code</th>\n",
        "      <th>investor_region</th>\n",
        "      <th>investor_city</th>\n",
        "      <th>funding_round_type</th>\n",
        "      <th>funding_round_code</th>\n",
        "      <th>funded_at</th>\n",
        "      <th>funded_month</th>\n",
        "      <th>funded_quarter</th>\n",
        "      <th>funded_year</th>\n",
        "      <th>raised_amount_usd</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>funding_round_permalink</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace</th>\n",
        "      <td>                      /organization/kartrocket</td>\n",
        "      <td>                            KartRocket</td>\n",
        "      <td>                                 |SaaS|E-Commerce|</td>\n",
        "      <td>                 SaaS</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            New Delhi</td>\n",
        "      <td>      New Delhi</td>\n",
        "      <td>                           /organization/5ideas-in</td>\n",
        "      <td>                              5ideas.in</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td>   Gurgaon</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-07-23</td>\n",
        "      <td> 2013-07</td>\n",
        "      <td> 2013-Q3</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/0c34e9aeda49a68b54b048c125c80365</th>\n",
        "      <td>               /organization/vyome-biosciences</td>\n",
        "      <td>                     Vyome Biosciences</td>\n",
        "      <td>                     |Life Sciences|Biotechnology|</td>\n",
        "      <td>        Life Sciences</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>                Delhi</td>\n",
        "      <td>          Delhi</td>\n",
        "      <td>                       /organization/aarin-capital</td>\n",
        "      <td>                          Aarin Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   A</td>\n",
        "      <td>2012-09-12</td>\n",
        "      <td> 2012-09</td>\n",
        "      <td> 2012-Q3</td>\n",
        "      <td> 2012</td>\n",
        "      <td>  3300000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/54202ff7c6901052c657d61584b1f9f6</th>\n",
        "      <td>               /organization/invictus-oncology</td>\n",
        "      <td>                     Invictus Oncology</td>\n",
        "      <td>                                   |Biotechnology|</td>\n",
        "      <td>        Biotechnology</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>                Delhi</td>\n",
        "      <td>          Delhi</td>\n",
        "      <td>                       /organization/aarin-capital</td>\n",
        "      <td>                          Aarin Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   A</td>\n",
        "      <td>2013-05-28</td>\n",
        "      <td> 2013-05</td>\n",
        "      <td> 2013-Q2</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  1880000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/514241eccd4edab7903b6c7d1f5f42ec</th>\n",
        "      <td>                          /organization/tabtor</td>\n",
        "      <td>                                Tabtor</td>\n",
        "      <td>                                       |Education|</td>\n",
        "      <td>            Education</td>\n",
        "      <td> USA</td>\n",
        "      <td>  NJ</td>\n",
        "      <td>               Newark</td>\n",
        "      <td>   Kendall Park</td>\n",
        "      <td>                       /organization/aarin-capital</td>\n",
        "      <td>                          Aarin Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-06-12</td>\n",
        "      <td> 2013-06</td>\n",
        "      <td> 2013-Q2</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  1000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/e56ecdeebd8bd8970e41942e28797c63</th>\n",
        "      <td>          /organization/theramyt-novobiologics</td>\n",
        "      <td>                Theramyt Novobiologics</td>\n",
        "      <td>                                   |Biotechnology|</td>\n",
        "      <td>        Biotechnology</td>\n",
        "      <td> NaN</td>\n",
        "      <td> NaN</td>\n",
        "      <td>                  NaN</td>\n",
        "      <td>            NaN</td>\n",
        "      <td>                       /organization/aarin-capital</td>\n",
        "      <td>                          Aarin Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   A</td>\n",
        "      <td>2013-10-11</td>\n",
        "      <td> 2013-10</td>\n",
        "      <td> 2013-Q4</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  4500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/339647785b60e71ab176256b8a062774</th>\n",
        "      <td>               /organization/vyome-biosciences</td>\n",
        "      <td>                     Vyome Biosciences</td>\n",
        "      <td>                     |Life Sciences|Biotechnology|</td>\n",
        "      <td>        Life Sciences</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>                Delhi</td>\n",
        "      <td>          Delhi</td>\n",
        "      <td>                       /organization/aarin-capital</td>\n",
        "      <td>                          Aarin Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   B</td>\n",
        "      <td>2014-08-12</td>\n",
        "      <td> 2014-08</td>\n",
        "      <td> 2014-Q3</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  8000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8</th>\n",
        "      <td>                      /organization/edcast-inc</td>\n",
        "      <td>                           EdCast Inc.</td>\n",
        "      <td>                  |All Students|Education|Portals|</td>\n",
        "      <td>            Education</td>\n",
        "      <td> USA</td>\n",
        "      <td>  CA</td>\n",
        "      <td>          SF Bay Area</td>\n",
        "      <td>  Mountain View</td>\n",
        "      <td>                       /organization/aarin-capital</td>\n",
        "      <td>                          Aarin Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   A</td>\n",
        "      <td>2014-09-22</td>\n",
        "      <td> 2014-09</td>\n",
        "      <td> 2014-Q3</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  6000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/3925da8eee16114d6570c3a0985d8ad7</th>\n",
        "      <td>                     /organization/milk-mantra</td>\n",
        "      <td>                           Milk Mantra</td>\n",
        "      <td>                             |Health and Wellness|</td>\n",
        "      <td>  Health and Wellness</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>          Bhubaneswar</td>\n",
        "      <td>    Bhubaneswar</td>\n",
        "      <td> /organization/aavishkaar-venture-management-se...</td>\n",
        "      <td> Aavishkaar Venture Management services</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    undisclosed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2011-02-02</td>\n",
        "      <td> 2011-02</td>\n",
        "      <td> 2011-Q1</td>\n",
        "      <td> 2011</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/c7087296aaa1e6ee33e9d174022ad444</th>\n",
        "      <td> /organization/electronic-payment-and-services</td>\n",
        "      <td> Electronic Payment and Services (EPS)</td>\n",
        "      <td>                             |Hardware + Software|</td>\n",
        "      <td>  Hardware + Software</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td> /organization/aavishkaar-venture-management-se...</td>\n",
        "      <td> Aavishkaar Venture Management services</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   B</td>\n",
        "      <td>2013-08-26</td>\n",
        "      <td> 2013-08</td>\n",
        "      <td> 2013-Q3</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  6000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/cabd3c8428576ef3018e1c91812a732e</th>\n",
        "      <td> /organization/electronic-payment-and-services</td>\n",
        "      <td> Electronic Payment and Services (EPS)</td>\n",
        "      <td>                             |Hardware + Software|</td>\n",
        "      <td>  Hardware + Software</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td> /organization/aavishkaar-venture-management-se...</td>\n",
        "      <td> Aavishkaar Venture Management services</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-12-17</td>\n",
        "      <td> 2013-12</td>\n",
        "      <td> 2013-Q4</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  5000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/2107d9f9c8568d80d7972b6992c9c14c</th>\n",
        "      <td>                   /organization/mela-artisans</td>\n",
        "      <td>                         Mela Artisans</td>\n",
        "      <td>                                         |Fashion|</td>\n",
        "      <td>              Fashion</td>\n",
        "      <td> USA</td>\n",
        "      <td>  FL</td>\n",
        "      <td>         Palm Beaches</td>\n",
        "      <td>     Boca Raton</td>\n",
        "      <td> /organization/aavishkaar-venture-management-se...</td>\n",
        "      <td> Aavishkaar Venture Management services</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-03-03</td>\n",
        "      <td> 2014-03</td>\n",
        "      <td> 2014-Q1</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  3000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/924be083c917d8ac047241c53fdf651b</th>\n",
        "      <td>                     /organization/milk-mantra</td>\n",
        "      <td>                           Milk Mantra</td>\n",
        "      <td>                             |Health and Wellness|</td>\n",
        "      <td>  Health and Wellness</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>          Bhubaneswar</td>\n",
        "      <td>    Bhubaneswar</td>\n",
        "      <td> /organization/aavishkaar-venture-management-se...</td>\n",
        "      <td> Aavishkaar Venture Management services</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   C</td>\n",
        "      <td>2014-06-30</td>\n",
        "      <td> 2014-06</td>\n",
        "      <td> 2014-Q2</td>\n",
        "      <td> 2014</td>\n",
        "      <td> 13080000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48</th>\n",
        "      <td>                          /organization/esolar</td>\n",
        "      <td>                                eSolar</td>\n",
        "      <td>                          |Green|Clean Technology|</td>\n",
        "      <td>     Clean Technology</td>\n",
        "      <td> USA</td>\n",
        "      <td>  CA</td>\n",
        "      <td>          Los Angeles</td>\n",
        "      <td>       Pasadena</td>\n",
        "      <td>                          /organization/acme-group</td>\n",
        "      <td>                             ACME Group</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   F</td>\n",
        "      <td>2009-01-01</td>\n",
        "      <td> 2009-01</td>\n",
        "      <td> 2009-Q1</td>\n",
        "      <td> 2009</td>\n",
        "      <td> 40000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/9a466a1e2602795b46eabc65b12277e0</th>\n",
        "      <td>                          /organization/amiigo</td>\n",
        "      <td>                                Amiigo</td>\n",
        "      <td> |Exercise|Tracking|Hardware|Technology|Fitness...</td>\n",
        "      <td>  Health and Wellness</td>\n",
        "      <td> USA</td>\n",
        "      <td>  UT</td>\n",
        "      <td>       Salt Lake City</td>\n",
        "      <td> Salt Lake City</td>\n",
        "      <td>                   /organization/alpha-investments</td>\n",
        "      <td>                      Alpha Investments</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-01-16</td>\n",
        "      <td> 2013-01</td>\n",
        "      <td> 2013-Q1</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/e4183920092065834cd3ec1e498ac49d</th>\n",
        "      <td>                          /organization/unamia</td>\n",
        "      <td>                                unamia</td>\n",
        "      <td>                                      |E-Commerce|</td>\n",
        "      <td>           E-Commerce</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>                          /organization/angelprime</td>\n",
        "      <td>                             AngelPrime</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bengaluru</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2012-10-17</td>\n",
        "      <td> 2012-10</td>\n",
        "      <td> 2012-Q4</td>\n",
        "      <td> 2012</td>\n",
        "      <td>  1200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/0155ffde94f5c477acd0e52ce5f87fca</th>\n",
        "      <td>                     /organization/hackerearth</td>\n",
        "      <td>                           HackerEarth</td>\n",
        "      <td>                                        |Software|</td>\n",
        "      <td>             Software</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>                          /organization/angelprime</td>\n",
        "      <td>                             AngelPrime</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bengaluru</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-02-24</td>\n",
        "      <td> 2014-02</td>\n",
        "      <td> 2014-Q1</td>\n",
        "      <td> 2014</td>\n",
        "      <td>   500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/3a4629496f195ec5035271602d485234</th>\n",
        "      <td>                           /organization/synup</td>\n",
        "      <td>                                 Synup</td>\n",
        "      <td>                                        |Software|</td>\n",
        "      <td>             Software</td>\n",
        "      <td> USA</td>\n",
        "      <td>  DE</td>\n",
        "      <td> Wilmington, Delaware</td>\n",
        "      <td>     Wilmington</td>\n",
        "      <td>                          /organization/angelprime</td>\n",
        "      <td>                             AngelPrime</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bengaluru</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-08-11</td>\n",
        "      <td> 2014-08</td>\n",
        "      <td> 2014-Q3</td>\n",
        "      <td> 2014</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/f3ca0e0715575437846695885f21349e</th>\n",
        "      <td>                    /organization/erc-eye-care</td>\n",
        "      <td>                          ERC Eye Care</td>\n",
        "      <td>                                   |Biotechnology|</td>\n",
        "      <td>        Biotechnology</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>          IND - Other</td>\n",
        "      <td>         Jorhat</td>\n",
        "      <td>                       /organization/ankur-capital</td>\n",
        "      <td>                          Ankur Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    undisclosed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-12-18</td>\n",
        "      <td> 2013-12</td>\n",
        "      <td> 2013-Q4</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/2e76287d0606a929e926312e68d6c61e</th>\n",
        "      <td>                      /organization/swiftshift</td>\n",
        "      <td>                           Swift Shift</td>\n",
        "      <td>                                        |Software|</td>\n",
        "      <td>             Software</td>\n",
        "      <td> GBR</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               London</td>\n",
        "      <td>         London</td>\n",
        "      <td>                       /organization/ankur-capital</td>\n",
        "      <td>                          Ankur Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-05-01</td>\n",
        "      <td> 2014-05</td>\n",
        "      <td> 2014-Q2</td>\n",
        "      <td> 2014</td>\n",
        "      <td>        0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/b1b5dbefec49800b9791f8974990e41c</th>\n",
        "      <td>                       /organization/mydentist</td>\n",
        "      <td>                             MyDentist</td>\n",
        "      <td>                                     |Health Care|</td>\n",
        "      <td>          Health Care</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>               /organization/asian-healthcare-fund</td>\n",
        "      <td>                  Asian Healthcare Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-01-01</td>\n",
        "      <td> 2013-01</td>\n",
        "      <td> 2013-Q1</td>\n",
        "      <td> 2013</td>\n",
        "      <td> 10000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/f744530cce618681192f6d9e334d0ef5</th>\n",
        "      <td>                    /organization/healthspring</td>\n",
        "      <td>                          HealthSpring</td>\n",
        "      <td>                         |Hospitals|Biotechnology|</td>\n",
        "      <td>            Hospitals</td>\n",
        "      <td> USA</td>\n",
        "      <td>  TN</td>\n",
        "      <td>            Nashville</td>\n",
        "      <td>       Franklin</td>\n",
        "      <td>               /organization/asian-healthcare-fund</td>\n",
        "      <td>                  Asian Healthcare Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   B</td>\n",
        "      <td>2013-06-19</td>\n",
        "      <td> 2013-06</td>\n",
        "      <td> 2013-Q2</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  3700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/ec9d6802389ed053dffb07ac9ee8acfd</th>\n",
        "      <td>                    /organization/forus-health</td>\n",
        "      <td>                          Forus Health</td>\n",
        "      <td>                                     |Health Care|</td>\n",
        "      <td>          Health Care</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>               /organization/asian-healthcare-fund</td>\n",
        "      <td>                  Asian Healthcare Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   B</td>\n",
        "      <td>2014-01-09</td>\n",
        "      <td> 2014-01</td>\n",
        "      <td> 2014-Q1</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  8400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/734f972917a468cbaa0fced4c60310fe</th>\n",
        "      <td>                  /organization/omni-hospitals</td>\n",
        "      <td>                        Omni Hospitals</td>\n",
        "      <td>                                   |Biotechnology|</td>\n",
        "      <td>        Biotechnology</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Hyderabad</td>\n",
        "      <td>      Hyderabad</td>\n",
        "      <td>                           /organization/ask-pravi</td>\n",
        "      <td>                              ASK Pravi</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   A</td>\n",
        "      <td>2013-08-07</td>\n",
        "      <td> 2013-08</td>\n",
        "      <td> 2013-Q3</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  9800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/635e75b6014396e40d84117b3c0687ff</th>\n",
        "      <td>                       /organization/thinklink</td>\n",
        "      <td>                             ThinkLink</td>\n",
        "      <td>                                      |Consulting|</td>\n",
        "      <td>           Consulting</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>              Haryana</td>\n",
        "      <td>        Haryana</td>\n",
        "      <td>                              /organization/aspada</td>\n",
        "      <td>                                 Aspada</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-01-07</td>\n",
        "      <td> 2014-01</td>\n",
        "      <td> 2014-Q1</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  1600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/0f9f1cd76ce19e552f771abe59c32483</th>\n",
        "      <td>                       /organization/neogrowth</td>\n",
        "      <td>                             Neogrowth</td>\n",
        "      <td>                                         |Finance|</td>\n",
        "      <td>              Finance</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>                              /organization/aspada</td>\n",
        "      <td>                                 Aspada</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-03-26</td>\n",
        "      <td> 2014-03</td>\n",
        "      <td> 2014-Q1</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  1620000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/2afd408dad65e43e9b1af3a852f8ea54</th>\n",
        "      <td>                   /organization/capital-float</td>\n",
        "      <td>                         Capital Float</td>\n",
        "      <td>                              |Financial Services|</td>\n",
        "      <td>   Financial Services</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>                              /organization/aspada</td>\n",
        "      <td>                                 Aspada</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-06-25</td>\n",
        "      <td> 2014-06</td>\n",
        "      <td> 2014-Q2</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  2000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/f328070e282b09cdf034cc9b941e065e</th>\n",
        "      <td>                        /organization/xamcheck</td>\n",
        "      <td>                              Xamcheck</td>\n",
        "      <td>                                       |Education|</td>\n",
        "      <td>            Education</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>         Secunderabad</td>\n",
        "      <td>   Secunderabad</td>\n",
        "      <td>                              /organization/aspada</td>\n",
        "      <td>                                 Aspada</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-10-30</td>\n",
        "      <td> 2014-10</td>\n",
        "      <td> 2014-Q4</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  1800000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/c0b21533794fc35ff56a26e922470838</th>\n",
        "      <td>                    /organization/dunenetworks</td>\n",
        "      <td>                          DuneNetworks</td>\n",
        "      <td>                                  |Semiconductors|</td>\n",
        "      <td>       Semiconductors</td>\n",
        "      <td> USA</td>\n",
        "      <td>  CA</td>\n",
        "      <td>          SF Bay Area</td>\n",
        "      <td>      Sunnyvale</td>\n",
        "      <td>                      /organization/aurum-ventures</td>\n",
        "      <td>                         Aurum Ventures</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   B</td>\n",
        "      <td>2008-01-14</td>\n",
        "      <td> 2008-01</td>\n",
        "      <td> 2008-Q1</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 12000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/5424f8d2aa768a737b010ac1024308a0</th>\n",
        "      <td>                          /organization/n-trig</td>\n",
        "      <td>                                N-Trig</td>\n",
        "      <td>                             |Hardware + Software|</td>\n",
        "      <td>  Hardware + Software</td>\n",
        "      <td> ISR</td>\n",
        "      <td> NaN</td>\n",
        "      <td>             Tel Aviv</td>\n",
        "      <td>      Kfar Saba</td>\n",
        "      <td>                      /organization/aurum-ventures</td>\n",
        "      <td>                         Aurum Ventures</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   C</td>\n",
        "      <td>2008-02-20</td>\n",
        "      <td> 2008-02</td>\n",
        "      <td> 2008-Q1</td>\n",
        "      <td> 2008</td>\n",
        "      <td> 28000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/8ece8f4668dd0bdc869a6eb0a197df84</th>\n",
        "      <td>                          /organization/n-trig</td>\n",
        "      <td>                                N-Trig</td>\n",
        "      <td>                             |Hardware + Software|</td>\n",
        "      <td>  Hardware + Software</td>\n",
        "      <td> ISR</td>\n",
        "      <td> NaN</td>\n",
        "      <td>             Tel Aviv</td>\n",
        "      <td>      Kfar Saba</td>\n",
        "      <td>                      /organization/aurum-ventures</td>\n",
        "      <td>                         Aurum Ventures</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   D</td>\n",
        "      <td>2009-01-12</td>\n",
        "      <td> 2009-01</td>\n",
        "      <td> 2009-Q1</td>\n",
        "      <td> 2009</td>\n",
        "      <td> 24000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf</th>\n",
        "      <td>                /organization/si2-microsystems</td>\n",
        "      <td>                      Si2 Microsystems</td>\n",
        "      <td>                                  |Semiconductors|</td>\n",
        "      <td>       Semiconductors</td>\n",
        "      <td> USA</td>\n",
        "      <td>  CA</td>\n",
        "      <td>          SF Bay Area</td>\n",
        "      <td>       San Jose</td>\n",
        "      <td>                          /organization/ventureast</td>\n",
        "      <td>                             VenturEast</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2009-02-04</td>\n",
        "      <td> 2009-02</td>\n",
        "      <td> 2009-Q1</td>\n",
        "      <td> 2009</td>\n",
        "      <td> 12700000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db</th>\n",
        "      <td>              /organization/desicrew-solutions</td>\n",
        "      <td>                    DesiCrew Solutions</td>\n",
        "      <td>                                       |Education|</td>\n",
        "      <td>            Education</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>              Chennai</td>\n",
        "      <td>        Chennai</td>\n",
        "      <td>                          /organization/ventureast</td>\n",
        "      <td>                             VenturEast</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   B</td>\n",
        "      <td>2012-01-01</td>\n",
        "      <td> 2012-01</td>\n",
        "      <td> 2012-Q1</td>\n",
        "      <td> 2012</td>\n",
        "      <td>  1200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/441925078ed4b78a3fe72d98744bd19c</th>\n",
        "      <td>                         /organization/seclore</td>\n",
        "      <td>                               Seclore</td>\n",
        "      <td>                                        |Software|</td>\n",
        "      <td>             Software</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>                          /organization/ventureast</td>\n",
        "      <td>                             VenturEast</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-04-24</td>\n",
        "      <td> 2013-04</td>\n",
        "      <td> 2013-Q2</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  6000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/c03336b81d71755274c48d7a3719a612</th>\n",
        "      <td>                  /organization/protea-medical</td>\n",
        "      <td>                        Protea Medical</td>\n",
        "      <td>                                     |Health Care|</td>\n",
        "      <td>          Health Care</td>\n",
        "      <td> USA</td>\n",
        "      <td>  AZ</td>\n",
        "      <td>              Phoenix</td>\n",
        "      <td>       Chandler</td>\n",
        "      <td>                          /organization/ventureast</td>\n",
        "      <td>                             VenturEast</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-12-01</td>\n",
        "      <td> 2013-12</td>\n",
        "      <td> 2013-Q4</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  8000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/c608fef63d3a5f68227b386c0507a293</th>\n",
        "      <td>                  /organization/portea-medical</td>\n",
        "      <td>                        Portea Medical</td>\n",
        "      <td>         |Healthcare Services|Medical|Health Care|</td>\n",
        "      <td>          Health Care</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>                          /organization/ventureast</td>\n",
        "      <td>                             VenturEast</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td> private_equity</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-12-02</td>\n",
        "      <td> 2013-12</td>\n",
        "      <td> 2013-Q4</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  8000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/7e61b0c22631b580112180a94c497566</th>\n",
        "      <td>                /organization/pinnacle-engines</td>\n",
        "      <td>                      Pinnacle Engines</td>\n",
        "      <td>                                |Clean Technology|</td>\n",
        "      <td>     Clean Technology</td>\n",
        "      <td> USA</td>\n",
        "      <td>  CA</td>\n",
        "      <td>          SF Bay Area</td>\n",
        "      <td>     San Carlos</td>\n",
        "      <td>                          /organization/ventureast</td>\n",
        "      <td>                             VenturEast</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   C</td>\n",
        "      <td>2014-05-08</td>\n",
        "      <td> 2014-05</td>\n",
        "      <td> 2014-Q2</td>\n",
        "      <td> 2014</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7</th>\n",
        "      <td>          /organization/polygenta-technologies</td>\n",
        "      <td>                Polygenta Technologies</td>\n",
        "      <td>                                        |Textiles|</td>\n",
        "      <td>             Textiles</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>                          /organization/ventureast</td>\n",
        "      <td>                             VenturEast</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>   Chennai</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-07-21</td>\n",
        "      <td> 2014-07</td>\n",
        "      <td> 2014-Q3</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  3600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/365b84dae9d6e2264f425f91ff9b9454</th>\n",
        "      <td>                         /organization/seclore</td>\n",
        "      <td>                               Seclore</td>\n",
        "      <td>                                        |Software|</td>\n",
        "      <td>             Software</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>               /organization/ventureast-tenet-fund</td>\n",
        "      <td>                  Ventureast Tenet Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2009-06-08</td>\n",
        "      <td> 2009-06</td>\n",
        "      <td> 2009-Q2</td>\n",
        "      <td> 2009</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/61a294d317c2f74cdabc4f8b96527799</th>\n",
        "      <td>                      /organization/icrederity</td>\n",
        "      <td>                            iCrederity</td>\n",
        "      <td>         |Security|Identity Management|Nonprofits|</td>\n",
        "      <td>           Nonprofits</td>\n",
        "      <td> USA</td>\n",
        "      <td>  NY</td>\n",
        "      <td>        New York City</td>\n",
        "      <td>       New York</td>\n",
        "      <td>               /organization/ventureast-tenet-fund</td>\n",
        "      <td>                  Ventureast Tenet Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2010-04-01</td>\n",
        "      <td> 2010-04</td>\n",
        "      <td> 2010-Q2</td>\n",
        "      <td> 2010</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/064b2a75f8f0259805d14d5d151af925</th>\n",
        "      <td>                          /organization/inopen</td>\n",
        "      <td>                                InOpen</td>\n",
        "      <td>                                       |Education|</td>\n",
        "      <td>            Education</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>               /organization/ventureast-tenet-fund</td>\n",
        "      <td>                  Ventureast Tenet Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2011-08-01</td>\n",
        "      <td> 2011-08</td>\n",
        "      <td> 2011-Q3</td>\n",
        "      <td> 2011</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/aeb62fcde22725715d03097e2ea7ff52</th>\n",
        "      <td>                         /organization/smartrx</td>\n",
        "      <td>                               SmartRx</td>\n",
        "      <td>     |Health Care Information Technology|Software|</td>\n",
        "      <td>             Software</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>               /organization/ventureast-tenet-fund</td>\n",
        "      <td>                  Ventureast Tenet Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-04-01</td>\n",
        "      <td> 2013-04</td>\n",
        "      <td> 2013-Q2</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/fe12e7a0fb551e0e756b10dabd509649</th>\n",
        "      <td>                 /organization/little-eye-labs</td>\n",
        "      <td>                       Little Eye Labs</td>\n",
        "      <td>                          |Testing|Android|Mobile|</td>\n",
        "      <td>              Testing</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>               /organization/ventureast-tenet-fund</td>\n",
        "      <td>                  Ventureast Tenet Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-06-01</td>\n",
        "      <td> 2013-06</td>\n",
        "      <td> 2013-Q2</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b</th>\n",
        "      <td>  /organization/stylecraze-beauty-care-pvt-ltd</td>\n",
        "      <td>        StyleCraze Beauty Care Pvt Ltd</td>\n",
        "      <td>                      |Health and Wellness|Beauty|</td>\n",
        "      <td>  Health and Wellness</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Hyderabad</td>\n",
        "      <td>      Hyderabad</td>\n",
        "      <td>               /organization/ventureast-tenet-fund</td>\n",
        "      <td>                  Ventureast Tenet Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-08-03</td>\n",
        "      <td> 2013-08</td>\n",
        "      <td> 2013-Q3</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/a9f44c174f683aaa7e14421c0c10f117</th>\n",
        "      <td>                       /organization/onebreath</td>\n",
        "      <td>                             OneBreath</td>\n",
        "      <td>                                      |Consulting|</td>\n",
        "      <td>           Consulting</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>               /organization/ventureast-tenet-fund</td>\n",
        "      <td>                  Ventureast Tenet Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-01-28</td>\n",
        "      <td> 2014-01</td>\n",
        "      <td> 2014-Q1</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  3000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/563f4fa3e428b5b4738a0d0b39ab085e</th>\n",
        "      <td>                      /organization/mediangels</td>\n",
        "      <td>                            MediAngels</td>\n",
        "      <td>                                     |Hospitality|</td>\n",
        "      <td>          Hospitality</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>               /organization/ventureast-tenet-fund</td>\n",
        "      <td>                  Ventureast Tenet Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td> Hyderabad</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-10-10</td>\n",
        "      <td> 2014-10</td>\n",
        "      <td> 2014-Q4</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  1000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/c392231129fde459a31f9b7ee0767735</th>\n",
        "      <td>                /organization/interview-master</td>\n",
        "      <td>                      Interview Master</td>\n",
        "      <td>          |Recruiting|Human Resources|Curated Web|</td>\n",
        "      <td>      Human Resources</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>                      /organization/venturenursery</td>\n",
        "      <td>                         VentureNursery</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-06-14</td>\n",
        "      <td> 2013-06</td>\n",
        "      <td> 2013-Q2</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/f923a3256cbf209805ad900a85876234</th>\n",
        "      <td>                         /organization/klip-in</td>\n",
        "      <td>                               Klip.in</td>\n",
        "      <td>                                      |E-Commerce|</td>\n",
        "      <td>           E-Commerce</td>\n",
        "      <td> USA</td>\n",
        "      <td>  CA</td>\n",
        "      <td>          SF Bay Area</td>\n",
        "      <td>      Palo Alto</td>\n",
        "      <td>                      /organization/venturenursery</td>\n",
        "      <td>                         VentureNursery</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-09-06</td>\n",
        "      <td> 2013-09</td>\n",
        "      <td> 2013-Q3</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/6953bc5b4d7302797e060c96fc1b1f1b</th>\n",
        "      <td>                 /organization/hotelsaroundyou</td>\n",
        "      <td>                       HotelsAroundYou</td>\n",
        "      <td>                                          |Hotels|</td>\n",
        "      <td>               Hotels</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>                      /organization/venturenursery</td>\n",
        "      <td>                         VentureNursery</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-10-27</td>\n",
        "      <td> 2014-10</td>\n",
        "      <td> 2014-Q4</td>\n",
        "      <td> 2014</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/1fbdac141bb229304baced175b700a1d</th>\n",
        "      <td>                    /organization/india-orders</td>\n",
        "      <td>                          India Orders</td>\n",
        "      <td>                                      |E-Commerce|</td>\n",
        "      <td>           E-Commerce</td>\n",
        "      <td> NaN</td>\n",
        "      <td> NaN</td>\n",
        "      <td>                  NaN</td>\n",
        "      <td>            NaN</td>\n",
        "      <td>                         /organization/vijay-group</td>\n",
        "      <td>                            Vijay Group</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>     Thane</td>\n",
        "      <td>     Thane</td>\n",
        "      <td>    undisclosed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-07-09</td>\n",
        "      <td> 2013-07</td>\n",
        "      <td> 2013-Q3</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/e3c18bc577de12897186ea2668ea3842</th>\n",
        "      <td>                      /organization/mobileveda</td>\n",
        "      <td>                            MobileVeda</td>\n",
        "      <td>                                          |Mobile|</td>\n",
        "      <td>               Mobile</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>              Vellore</td>\n",
        "      <td>        Vellore</td>\n",
        "      <td>   /organization/vit-technology-business-incubator</td>\n",
        "      <td>      VIT Technology Business Incubator</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Vellore</td>\n",
        "      <td>   Vellore</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2007-04-01</td>\n",
        "      <td> 2007-04</td>\n",
        "      <td> 2007-Q2</td>\n",
        "      <td> 2007</td>\n",
        "      <td>     9000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/76a232e1ac21fd9912dc6ad7c04b5970</th>\n",
        "      <td>                         /organization/abaltat</td>\n",
        "      <td>                            Tunepresto</td>\n",
        "      <td>             |Video Editing|Web Development|Music|</td>\n",
        "      <td>                Music</td>\n",
        "      <td> IRL</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Galway</td>\n",
        "      <td>         Galway</td>\n",
        "      <td>                                 /organization/wdc</td>\n",
        "      <td>                                    WDC</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Kolkata</td>\n",
        "      <td>   Kolkata</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   A</td>\n",
        "      <td>2007-01-01</td>\n",
        "      <td> 2007-01</td>\n",
        "      <td> 2007-Q1</td>\n",
        "      <td> 2007</td>\n",
        "      <td>   263400</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/f9c8271bb4d88eab399485796ac49305</th>\n",
        "      <td>                          /organization/nooked</td>\n",
        "      <td>                                nooked</td>\n",
        "      <td>   |Shopping|Web Development|Web Tools|E-Commerce|</td>\n",
        "      <td>      Web Development</td>\n",
        "      <td> IRL</td>\n",
        "      <td> NaN</td>\n",
        "      <td>                Sligo</td>\n",
        "      <td>          Sligo</td>\n",
        "      <td>                                 /organization/wdc</td>\n",
        "      <td>                                    WDC</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>   Kolkata</td>\n",
        "      <td>   Kolkata</td>\n",
        "      <td>           seed</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2008-08-01</td>\n",
        "      <td> 2008-08</td>\n",
        "      <td> 2008-Q3</td>\n",
        "      <td> 2008</td>\n",
        "      <td>  1557400</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/04f480ddf19f264fbfb2a99343eb3d9c</th>\n",
        "      <td>                      /organization/crude-area</td>\n",
        "      <td>                            Crude Area</td>\n",
        "      <td>                       |Product Design|Art|Design|</td>\n",
        "      <td>       Product Design</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>                          /organization/webchutney</td>\n",
        "      <td>                             Webchutney</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td>          angel</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-07-29</td>\n",
        "      <td> 2013-07</td>\n",
        "      <td> 2013-Q3</td>\n",
        "      <td> 2013</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/7cb5c9070cdcb535482b209796698fc2</th>\n",
        "      <td>                 /organization/opera-solutions</td>\n",
        "      <td>                       Opera Solutions</td>\n",
        "      <td> |Business Intelligence|Predictive Analytics|An...</td>\n",
        "      <td> Predictive Analytics</td>\n",
        "      <td> USA</td>\n",
        "      <td>  NJ</td>\n",
        "      <td>               Newark</td>\n",
        "      <td>    Jersey City</td>\n",
        "      <td>                               /organization/wipro</td>\n",
        "      <td>                     Wipro Technologies</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> private_equity</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-05-09</td>\n",
        "      <td> 2013-05</td>\n",
        "      <td> 2013-Q2</td>\n",
        "      <td> 2013</td>\n",
        "      <td> 30000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/463de5ee1fc9c25cf45e88d2754b203a</th>\n",
        "      <td>                 /organization/opera-solutions</td>\n",
        "      <td>                       Opera Solutions</td>\n",
        "      <td> |Business Intelligence|Predictive Analytics|An...</td>\n",
        "      <td> Predictive Analytics</td>\n",
        "      <td> USA</td>\n",
        "      <td>  NJ</td>\n",
        "      <td>               Newark</td>\n",
        "      <td>    Jersey City</td>\n",
        "      <td>                               /organization/wipro</td>\n",
        "      <td>                     Wipro Technologies</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   G</td>\n",
        "      <td>2014-10-23</td>\n",
        "      <td> 2014-10</td>\n",
        "      <td> 2014-Q4</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  8199999</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/64e0d2bafe167a51be69ac678fa78752</th>\n",
        "      <td>                           /organization/axeda</td>\n",
        "      <td>                                 Axeda</td>\n",
        "      <td>                |Enterprise Software|M2M|Software|</td>\n",
        "      <td>  Enterprise Software</td>\n",
        "      <td> USA</td>\n",
        "      <td>  MA</td>\n",
        "      <td>          New Bedford</td>\n",
        "      <td>        Foxboro</td>\n",
        "      <td>                             /organization/wipro-2</td>\n",
        "      <td>                                  Wipro</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> Bangalore</td>\n",
        "      <td> private_equity</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-08-20</td>\n",
        "      <td> 2013-08</td>\n",
        "      <td> 2013-Q3</td>\n",
        "      <td> 2013</td>\n",
        "      <td> 12000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/7c47dd82bc76607ea8cf60cb6a428f38</th>\n",
        "      <td>                        /organization/uniphore</td>\n",
        "      <td>                              Uniphore</td>\n",
        "      <td>                                        |Software|</td>\n",
        "      <td>             Software</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>          IND - Other</td>\n",
        "      <td>       Taramani</td>\n",
        "      <td>                 /organization/yournest-angel-fund</td>\n",
        "      <td>                    YourNest Angel Fund</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td> New Delhi</td>\n",
        "      <td>   Gurgaon</td>\n",
        "      <td>          angel</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2014-03-13</td>\n",
        "      <td> 2014-03</td>\n",
        "      <td> 2014-Q1</td>\n",
        "      <td> 2014</td>\n",
        "      <td>      NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/5abb4d1afe518ab7ff453d362f647580</th>\n",
        "      <td>                          /organization/antuit</td>\n",
        "      <td>                                Antuit</td>\n",
        "      <td>                                       |Analytics|</td>\n",
        "      <td>            Analytics</td>\n",
        "      <td> SGP</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Singapore</td>\n",
        "      <td>      Singapore</td>\n",
        "      <td>                      /organization/zodius-capital</td>\n",
        "      <td>                         Zodius Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td> NaN</td>\n",
        "      <td>2013-08-13</td>\n",
        "      <td> 2013-08</td>\n",
        "      <td> 2013-Q3</td>\n",
        "      <td> 2013</td>\n",
        "      <td>  3859800</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/79d0dc9121121b1147932b1401c6215a</th>\n",
        "      <td>                 /organization/culture-machine</td>\n",
        "      <td>                       Culture Machine</td>\n",
        "      <td>               |Digital Media|Entertainment|Media|</td>\n",
        "      <td>        Entertainment</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>               Mumbai</td>\n",
        "      <td>         Mumbai</td>\n",
        "      <td>                      /organization/zodius-capital</td>\n",
        "      <td>                         Zodius Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   A</td>\n",
        "      <td>2014-09-01</td>\n",
        "      <td> 2014-09</td>\n",
        "      <td> 2014-Q3</td>\n",
        "      <td> 2014</td>\n",
        "      <td>  3500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/funding-round/bc6ec5767c789dec7d704a5a9148db80</th>\n",
        "      <td>                   /organization/bigbasket-com</td>\n",
        "      <td>                         Bigbasket.com</td>\n",
        "      <td>            |Online Shopping|Groceries|E-Commerce|</td>\n",
        "      <td>           E-Commerce</td>\n",
        "      <td> IND</td>\n",
        "      <td> NaN</td>\n",
        "      <td>            Bangalore</td>\n",
        "      <td>      Bangalore</td>\n",
        "      <td>                      /organization/zodius-capital</td>\n",
        "      <td>                         Zodius Capital</td>\n",
        "      <td>...</td>\n",
        "      <td> NaN</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>    Mumbai</td>\n",
        "      <td>        venture</td>\n",
        "      <td>   B</td>\n",
        "      <td>2014-09-12</td>\n",
        "      <td> 2014-09</td>\n",
        "      <td> 2014-Q3</td>\n",
        "      <td> 2014</td>\n",
        "      <td> 32799999</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>462 rows \u00d7 23 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 70,
       "text": [
        "                                                                             company_permalink  \\\n",
        "funding_round_permalink                                                                          \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                       /organization/kartrocket   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                /organization/vyome-biosciences   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                /organization/invictus-oncology   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                           /organization/tabtor   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63           /organization/theramyt-novobiologics   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                /organization/vyome-biosciences   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8                       /organization/edcast-inc   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7                      /organization/milk-mantra   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444  /organization/electronic-payment-and-services   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e  /organization/electronic-payment-and-services   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c                    /organization/mela-artisans   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b                      /organization/milk-mantra   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48                           /organization/esolar   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0                           /organization/amiigo   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d                           /organization/unamia   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca                      /organization/hackerearth   \n",
        "/funding-round/3a4629496f195ec5035271602d485234                            /organization/synup   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e                     /organization/erc-eye-care   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                       /organization/swiftshift   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                        /organization/mydentist   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5                     /organization/healthspring   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd                     /organization/forus-health   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe                   /organization/omni-hospitals   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff                        /organization/thinklink   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                        /organization/neogrowth   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54                    /organization/capital-float   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e                         /organization/xamcheck   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838                     /organization/dunenetworks   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0                           /organization/n-trig   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84                           /organization/n-trig   \n",
        "...                                                                                        ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf                 /organization/si2-microsystems   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db               /organization/desicrew-solutions   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                          /organization/seclore   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612                   /organization/protea-medical   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293                   /organization/portea-medical   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566                 /organization/pinnacle-engines   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7           /organization/polygenta-technologies   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                          /organization/seclore   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799                       /organization/icrederity   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                           /organization/inopen   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52                          /organization/smartrx   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649                  /organization/little-eye-labs   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b   /organization/stylecraze-beauty-care-pvt-ltd   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117                        /organization/onebreath   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                       /organization/mediangels   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735                 /organization/interview-master   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234                          /organization/klip-in   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                  /organization/hotelsaroundyou   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                     /organization/india-orders   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842                       /organization/mobileveda   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                          /organization/abaltat   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305                           /organization/nooked   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                       /organization/crude-area   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2                  /organization/opera-solutions   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a                  /organization/opera-solutions   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752                            /organization/axeda   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38                         /organization/uniphore   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580                           /organization/antuit   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                  /organization/culture-machine   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80                    /organization/bigbasket-com   \n",
        "\n",
        "                                                                          company_name  \\\n",
        "funding_round_permalink                                                                  \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                             KartRocket   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                      Vyome Biosciences   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                      Invictus Oncology   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                                 Tabtor   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63                 Theramyt Novobiologics   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                      Vyome Biosciences   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8                            EdCast Inc.   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7                            Milk Mantra   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444  Electronic Payment and Services (EPS)   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e  Electronic Payment and Services (EPS)   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c                          Mela Artisans   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b                            Milk Mantra   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48                                 eSolar   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0                                 Amiigo   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d                                 unamia   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca                            HackerEarth   \n",
        "/funding-round/3a4629496f195ec5035271602d485234                                  Synup   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e                           ERC Eye Care   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                            Swift Shift   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                              MyDentist   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5                           HealthSpring   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd                           Forus Health   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe                         Omni Hospitals   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff                              ThinkLink   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                              Neogrowth   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54                          Capital Float   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e                               Xamcheck   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838                           DuneNetworks   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0                                 N-Trig   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84                                 N-Trig   \n",
        "...                                                                                ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf                       Si2 Microsystems   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db                     DesiCrew Solutions   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                                Seclore   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612                         Protea Medical   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293                         Portea Medical   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566                       Pinnacle Engines   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7                 Polygenta Technologies   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                                Seclore   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799                             iCrederity   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                                 InOpen   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52                                SmartRx   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649                        Little Eye Labs   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b         StyleCraze Beauty Care Pvt Ltd   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117                              OneBreath   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                             MediAngels   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735                       Interview Master   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234                                Klip.in   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                        HotelsAroundYou   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                           India Orders   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842                             MobileVeda   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                             Tunepresto   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305                                 nooked   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                             Crude Area   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2                        Opera Solutions   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a                        Opera Solutions   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752                                  Axeda   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38                               Uniphore   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580                                 Antuit   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                        Culture Machine   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80                          Bigbasket.com   \n",
        "\n",
        "                                                                             company_category_list  \\\n",
        "funding_round_permalink                                                                              \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                                  |SaaS|E-Commerce|   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                      |Life Sciences|Biotechnology|   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                                    |Biotechnology|   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                                        |Education|   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63                                    |Biotechnology|   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                      |Life Sciences|Biotechnology|   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8                   |All Students|Education|Portals|   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7                              |Health and Wellness|   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444                              |Hardware + Software|   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e                              |Hardware + Software|   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c                                          |Fashion|   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b                              |Health and Wellness|   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48                           |Green|Clean Technology|   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0  |Exercise|Tracking|Hardware|Technology|Fitness...   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d                                       |E-Commerce|   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca                                         |Software|   \n",
        "/funding-round/3a4629496f195ec5035271602d485234                                         |Software|   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e                                    |Biotechnology|   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                                         |Software|   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                                      |Health Care|   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5                          |Hospitals|Biotechnology|   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd                                      |Health Care|   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe                                    |Biotechnology|   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff                                       |Consulting|   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                                          |Finance|   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54                               |Financial Services|   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e                                        |Education|   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838                                   |Semiconductors|   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0                              |Hardware + Software|   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84                              |Hardware + Software|   \n",
        "...                                                                                            ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf                                   |Semiconductors|   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db                                        |Education|   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                                         |Software|   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612                                      |Health Care|   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293          |Healthcare Services|Medical|Health Care|   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566                                 |Clean Technology|   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7                                         |Textiles|   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                                         |Software|   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799          |Security|Identity Management|Nonprofits|   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                                        |Education|   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52      |Health Care Information Technology|Software|   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649                           |Testing|Android|Mobile|   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b                       |Health and Wellness|Beauty|   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117                                       |Consulting|   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                                      |Hospitality|   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735           |Recruiting|Human Resources|Curated Web|   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234                                       |E-Commerce|   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                                           |Hotels|   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                                       |E-Commerce|   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842                                           |Mobile|   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970              |Video Editing|Web Development|Music|   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305    |Shopping|Web Development|Web Tools|E-Commerce|   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                        |Product Design|Art|Design|   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2  |Business Intelligence|Predictive Analytics|An...   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a  |Business Intelligence|Predictive Analytics|An...   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752                 |Enterprise Software|M2M|Software|   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38                                         |Software|   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580                                        |Analytics|   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                |Digital Media|Entertainment|Media|   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80             |Online Shopping|Groceries|E-Commerce|   \n",
        "\n",
        "                                                       company_market  \\\n",
        "funding_round_permalink                                                 \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                  SaaS   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365         Life Sciences   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6         Biotechnology   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec             Education   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63         Biotechnology   \n",
        "/funding-round/339647785b60e71ab176256b8a062774         Life Sciences   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8             Education   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7   Health and Wellness   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444   Hardware + Software   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e   Hardware + Software   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c               Fashion   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b   Health and Wellness   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48      Clean Technology   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0   Health and Wellness   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d            E-Commerce   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca              Software   \n",
        "/funding-round/3a4629496f195ec5035271602d485234              Software   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e         Biotechnology   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e              Software   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c           Health Care   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5             Hospitals   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd           Health Care   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe         Biotechnology   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff            Consulting   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483               Finance   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54    Financial Services   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e             Education   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838        Semiconductors   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0   Hardware + Software   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84   Hardware + Software   \n",
        "...                                                               ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf        Semiconductors   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db             Education   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c              Software   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612           Health Care   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293           Health Care   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566      Clean Technology   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7              Textiles   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454              Software   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799            Nonprofits   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925             Education   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52              Software   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649               Testing   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b   Health and Wellness   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117            Consulting   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e           Hospitality   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735       Human Resources   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234            E-Commerce   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                Hotels   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d            E-Commerce   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842                Mobile   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                 Music   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305       Web Development   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c        Product Design   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2  Predictive Analytics   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a  Predictive Analytics   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752   Enterprise Software   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38              Software   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580             Analytics   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a         Entertainment   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80            E-Commerce   \n",
        "\n",
        "                                                company_country_code  \\\n",
        "funding_round_permalink                                                \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                  IND   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                  IND   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                  IND   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                  USA   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63                  NaN   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                  IND   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8                  USA   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7                  IND   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444                  IND   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e                  IND   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c                  USA   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b                  IND   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48                  USA   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0                  USA   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d                  IND   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca                  IND   \n",
        "/funding-round/3a4629496f195ec5035271602d485234                  USA   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e                  IND   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                  GBR   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                  IND   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5                  USA   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd                  IND   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe                  IND   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff                  IND   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                  IND   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54                  IND   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e                  IND   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838                  USA   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0                  ISR   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84                  ISR   \n",
        "...                                                              ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf                  USA   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db                  IND   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                  IND   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612                  USA   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293                  IND   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566                  USA   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7                  IND   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                  IND   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799                  USA   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                  IND   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52                  IND   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649                  IND   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b                  IND   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117                  IND   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                  IND   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735                  IND   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234                  USA   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                  IND   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                  NaN   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842                  IND   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                  IRL   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305                  IRL   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                  IND   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2                  USA   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a                  USA   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752                  USA   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38                  IND   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580                  SGP   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                  IND   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80                  IND   \n",
        "\n",
        "                                                company_state_code  \\\n",
        "funding_round_permalink                                              \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                NaN   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                NaN   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                NaN   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                 NJ   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63                NaN   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                NaN   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8                 CA   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7                NaN   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444                NaN   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e                NaN   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c                 FL   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b                NaN   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48                 CA   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0                 UT   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d                NaN   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca                NaN   \n",
        "/funding-round/3a4629496f195ec5035271602d485234                 DE   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e                NaN   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                NaN   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                NaN   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5                 TN   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd                NaN   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe                NaN   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff                NaN   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                NaN   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54                NaN   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e                NaN   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838                 CA   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0                NaN   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84                NaN   \n",
        "...                                                            ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf                 CA   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db                NaN   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                NaN   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612                 AZ   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293                NaN   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566                 CA   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7                NaN   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                NaN   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799                 NY   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                NaN   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52                NaN   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649                NaN   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b                NaN   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117                NaN   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                NaN   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735                NaN   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234                 CA   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                NaN   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                NaN   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842                NaN   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                NaN   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305                NaN   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                NaN   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2                 NJ   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a                 NJ   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752                 MA   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38                NaN   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580                NaN   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                NaN   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80                NaN   \n",
        "\n",
        "                                                       company_region  \\\n",
        "funding_round_permalink                                                 \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace             New Delhi   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                 Delhi   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                 Delhi   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                Newark   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63                   NaN   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                 Delhi   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8           SF Bay Area   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7           Bhubaneswar   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444                Mumbai   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e                Mumbai   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c          Palm Beaches   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b           Bhubaneswar   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48           Los Angeles   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0        Salt Lake City   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d             Bangalore   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca             Bangalore   \n",
        "/funding-round/3a4629496f195ec5035271602d485234  Wilmington, Delaware   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e           IND - Other   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                London   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                Mumbai   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5             Nashville   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd             Bangalore   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe             Hyderabad   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff               Haryana   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                Mumbai   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54             Bangalore   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e          Secunderabad   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838           SF Bay Area   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0              Tel Aviv   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84              Tel Aviv   \n",
        "...                                                               ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf           SF Bay Area   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db               Chennai   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                Mumbai   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612               Phoenix   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293             Bangalore   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566           SF Bay Area   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7                Mumbai   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                Mumbai   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799         New York City   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                Mumbai   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52             Bangalore   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649             Bangalore   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b             Hyderabad   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117             Bangalore   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                Mumbai   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735             Bangalore   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234           SF Bay Area   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                Mumbai   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                   NaN   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842               Vellore   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                Galway   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305                 Sligo   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                Mumbai   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2                Newark   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a                Newark   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752           New Bedford   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38           IND - Other   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580             Singapore   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                Mumbai   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80             Bangalore   \n",
        "\n",
        "                                                   company_city  \\\n",
        "funding_round_permalink                                           \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace       New Delhi   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365           Delhi   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6           Delhi   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec    Kendall Park   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63             NaN   \n",
        "/funding-round/339647785b60e71ab176256b8a062774           Delhi   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8   Mountain View   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7     Bhubaneswar   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444          Mumbai   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e          Mumbai   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c      Boca Raton   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b     Bhubaneswar   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48        Pasadena   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0  Salt Lake City   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d       Bangalore   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca       Bangalore   \n",
        "/funding-round/3a4629496f195ec5035271602d485234      Wilmington   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e          Jorhat   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e          London   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c          Mumbai   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5        Franklin   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd       Bangalore   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe       Hyderabad   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff         Haryana   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483          Mumbai   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54       Bangalore   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e    Secunderabad   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838       Sunnyvale   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0       Kfar Saba   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84       Kfar Saba   \n",
        "...                                                         ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf        San Jose   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db         Chennai   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c          Mumbai   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612        Chandler   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293       Bangalore   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566      San Carlos   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7          Mumbai   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454          Mumbai   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799        New York   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925          Mumbai   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52       Bangalore   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649       Bangalore   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b       Hyderabad   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117       Bangalore   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e          Mumbai   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735       Bangalore   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234       Palo Alto   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b          Mumbai   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d             NaN   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842         Vellore   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970          Galway   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305           Sligo   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c          Mumbai   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2     Jersey City   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a     Jersey City   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752         Foxboro   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38        Taramani   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580       Singapore   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a          Mumbai   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80       Bangalore   \n",
        "\n",
        "                                                                                investor_permalink  \\\n",
        "funding_round_permalink                                                                              \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                            /organization/5ideas-in   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                        /organization/aarin-capital   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                        /organization/aarin-capital   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                        /organization/aarin-capital   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63                        /organization/aarin-capital   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                        /organization/aarin-capital   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8                        /organization/aarin-capital   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7  /organization/aavishkaar-venture-management-se...   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444  /organization/aavishkaar-venture-management-se...   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e  /organization/aavishkaar-venture-management-se...   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c  /organization/aavishkaar-venture-management-se...   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b  /organization/aavishkaar-venture-management-se...   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48                           /organization/acme-group   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0                    /organization/alpha-investments   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d                           /organization/angelprime   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca                           /organization/angelprime   \n",
        "/funding-round/3a4629496f195ec5035271602d485234                           /organization/angelprime   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e                        /organization/ankur-capital   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                        /organization/ankur-capital   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                /organization/asian-healthcare-fund   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5                /organization/asian-healthcare-fund   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd                /organization/asian-healthcare-fund   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe                            /organization/ask-pravi   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff                               /organization/aspada   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                               /organization/aspada   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54                               /organization/aspada   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e                               /organization/aspada   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838                       /organization/aurum-ventures   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0                       /organization/aurum-ventures   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84                       /organization/aurum-ventures   \n",
        "...                                                                                            ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf                           /organization/ventureast   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db                           /organization/ventureast   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                           /organization/ventureast   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612                           /organization/ventureast   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293                           /organization/ventureast   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566                           /organization/ventureast   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7                           /organization/ventureast   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                /organization/ventureast-tenet-fund   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799                /organization/ventureast-tenet-fund   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                /organization/ventureast-tenet-fund   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52                /organization/ventureast-tenet-fund   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649                /organization/ventureast-tenet-fund   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b                /organization/ventureast-tenet-fund   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117                /organization/ventureast-tenet-fund   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                /organization/ventureast-tenet-fund   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735                       /organization/venturenursery   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234                       /organization/venturenursery   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                       /organization/venturenursery   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                          /organization/vijay-group   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842    /organization/vit-technology-business-incubator   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                                  /organization/wdc   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305                                  /organization/wdc   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                           /organization/webchutney   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2                                /organization/wipro   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a                                /organization/wipro   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752                              /organization/wipro-2   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38                  /organization/yournest-angel-fund   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580                       /organization/zodius-capital   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                       /organization/zodius-capital   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80                       /organization/zodius-capital   \n",
        "\n",
        "                                                                          investor_name  \\\n",
        "funding_round_permalink                                                                   \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                               5ideas.in   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                           Aarin Capital   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                           Aarin Capital   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                           Aarin Capital   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63                           Aarin Capital   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                           Aarin Capital   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8                           Aarin Capital   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7  Aavishkaar Venture Management services   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444  Aavishkaar Venture Management services   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e  Aavishkaar Venture Management services   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c  Aavishkaar Venture Management services   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b  Aavishkaar Venture Management services   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48                              ACME Group   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0                       Alpha Investments   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d                              AngelPrime   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca                              AngelPrime   \n",
        "/funding-round/3a4629496f195ec5035271602d485234                              AngelPrime   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e                           Ankur Capital   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                           Ankur Capital   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                   Asian Healthcare Fund   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5                   Asian Healthcare Fund   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd                   Asian Healthcare Fund   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe                               ASK Pravi   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff                                  Aspada   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                                  Aspada   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54                                  Aspada   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e                                  Aspada   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838                          Aurum Ventures   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0                          Aurum Ventures   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84                          Aurum Ventures   \n",
        "...                                                                                 ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf                              VenturEast   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db                              VenturEast   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                              VenturEast   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612                              VenturEast   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293                              VenturEast   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566                              VenturEast   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7                              VenturEast   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                   Ventureast Tenet Fund   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799                   Ventureast Tenet Fund   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                   Ventureast Tenet Fund   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52                   Ventureast Tenet Fund   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649                   Ventureast Tenet Fund   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b                   Ventureast Tenet Fund   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117                   Ventureast Tenet Fund   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                   Ventureast Tenet Fund   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735                          VentureNursery   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234                          VentureNursery   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                          VentureNursery   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                             Vijay Group   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842       VIT Technology Business Incubator   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                                     WDC   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305                                     WDC   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                              Webchutney   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2                      Wipro Technologies   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a                      Wipro Technologies   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752                                   Wipro   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38                     YourNest Angel Fund   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580                          Zodius Capital   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                          Zodius Capital   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80                          Zodius Capital   \n",
        "\n",
        "                                                       ...         \\\n",
        "funding_round_permalink                                ...          \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace        ...          \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365        ...          \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6        ...          \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec        ...          \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63        ...          \n",
        "/funding-round/339647785b60e71ab176256b8a062774        ...          \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8        ...          \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7        ...          \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444        ...          \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e        ...          \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c        ...          \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b        ...          \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48        ...          \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0        ...          \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d        ...          \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca        ...          \n",
        "/funding-round/3a4629496f195ec5035271602d485234        ...          \n",
        "/funding-round/f3ca0e0715575437846695885f21349e        ...          \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e        ...          \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c        ...          \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5        ...          \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd        ...          \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe        ...          \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff        ...          \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483        ...          \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54        ...          \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e        ...          \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838        ...          \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0        ...          \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84        ...          \n",
        "...                                                    ...          \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf        ...          \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db        ...          \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c        ...          \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612        ...          \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293        ...          \n",
        "/funding-round/7e61b0c22631b580112180a94c497566        ...          \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7        ...          \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454        ...          \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799        ...          \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925        ...          \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52        ...          \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649        ...          \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b        ...          \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117        ...          \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e        ...          \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735        ...          \n",
        "/funding-round/f923a3256cbf209805ad900a85876234        ...          \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b        ...          \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d        ...          \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842        ...          \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970        ...          \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305        ...          \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c        ...          \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2        ...          \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a        ...          \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752        ...          \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38        ...          \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580        ...          \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a        ...          \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80        ...          \n",
        "\n",
        "                                                investor_state_code  \\\n",
        "funding_round_permalink                                               \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                 NaN   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                 NaN   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                 NaN   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                 NaN   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63                 NaN   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                 NaN   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8                 NaN   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7                 NaN   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444                 NaN   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e                 NaN   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c                 NaN   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b                 NaN   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48                 NaN   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0                 NaN   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d                 NaN   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca                 NaN   \n",
        "/funding-round/3a4629496f195ec5035271602d485234                 NaN   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e                 NaN   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                 NaN   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                 NaN   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5                 NaN   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd                 NaN   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe                 NaN   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff                 NaN   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                 NaN   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54                 NaN   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e                 NaN   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838                 NaN   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0                 NaN   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84                 NaN   \n",
        "...                                                             ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf                 NaN   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db                 NaN   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                 NaN   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612                 NaN   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293                 NaN   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566                 NaN   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7                 NaN   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                 NaN   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799                 NaN   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                 NaN   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52                 NaN   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649                 NaN   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b                 NaN   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117                 NaN   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                 NaN   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735                 NaN   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234                 NaN   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                 NaN   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                 NaN   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842                 NaN   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                 NaN   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305                 NaN   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                 NaN   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2                 NaN   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a                 NaN   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752                 NaN   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38                 NaN   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580                 NaN   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                 NaN   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80                 NaN   \n",
        "\n",
        "                                                investor_region investor_city  \\\n",
        "funding_round_permalink                                                         \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace       New Delhi       Gurgaon   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365       Bangalore     Bangalore   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6       Bangalore     Bangalore   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec       Bangalore     Bangalore   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63       Bangalore     Bangalore   \n",
        "/funding-round/339647785b60e71ab176256b8a062774       Bangalore     Bangalore   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8       Bangalore     Bangalore   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7          Mumbai        Mumbai   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444          Mumbai        Mumbai   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e          Mumbai        Mumbai   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c          Mumbai        Mumbai   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b          Mumbai        Mumbai   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48          Mumbai        Mumbai   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0          Mumbai        Mumbai   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d       Bangalore     Bengaluru   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca       Bangalore     Bengaluru   \n",
        "/funding-round/3a4629496f195ec5035271602d485234       Bangalore     Bengaluru   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e          Mumbai        Mumbai   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e          Mumbai        Mumbai   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c       New Delhi     New Delhi   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5       New Delhi     New Delhi   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd       New Delhi     New Delhi   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe          Mumbai        Mumbai   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff       Bangalore     Bangalore   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483       Bangalore     Bangalore   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54       Bangalore     Bangalore   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e       Bangalore     Bangalore   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838          Mumbai        Mumbai   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0          Mumbai        Mumbai   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84          Mumbai        Mumbai   \n",
        "...                                                         ...           ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf         Chennai       Chennai   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db         Chennai       Chennai   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c         Chennai       Chennai   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612         Chennai       Chennai   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293         Chennai       Chennai   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566         Chennai       Chennai   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7         Chennai       Chennai   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454       Hyderabad     Hyderabad   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799       Hyderabad     Hyderabad   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925       Hyderabad     Hyderabad   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52       Hyderabad     Hyderabad   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649       Hyderabad     Hyderabad   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b       Hyderabad     Hyderabad   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117       Hyderabad     Hyderabad   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e       Hyderabad     Hyderabad   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735          Mumbai        Mumbai   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234          Mumbai        Mumbai   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b          Mumbai        Mumbai   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d           Thane         Thane   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842         Vellore       Vellore   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970         Kolkata       Kolkata   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305         Kolkata       Kolkata   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c       New Delhi     New Delhi   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2       Bangalore     Bangalore   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a       Bangalore     Bangalore   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752       Bangalore     Bangalore   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38       New Delhi       Gurgaon   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580          Mumbai        Mumbai   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a          Mumbai        Mumbai   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80          Mumbai        Mumbai   \n",
        "\n",
        "                                                funding_round_type  \\\n",
        "funding_round_permalink                                              \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace               seed   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365            venture   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6            venture   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec               seed   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63            venture   \n",
        "/funding-round/339647785b60e71ab176256b8a062774            venture   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8            venture   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7        undisclosed   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444            venture   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e            venture   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c            venture   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b            venture   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48            venture   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0               seed   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d               seed   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca               seed   \n",
        "/funding-round/3a4629496f195ec5035271602d485234               seed   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e        undisclosed   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e            venture   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c            venture   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5            venture   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd            venture   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe            venture   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff            venture   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483            venture   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54               seed   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e            venture   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838            venture   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0            venture   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84            venture   \n",
        "...                                                            ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf            venture   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db            venture   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c            venture   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612            venture   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293     private_equity   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566            venture   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7            venture   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454               seed   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799               seed   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925               seed   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52               seed   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649               seed   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b               seed   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117            venture   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e               seed   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735               seed   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234               seed   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b               seed   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d        undisclosed   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842               seed   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970            venture   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305               seed   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c              angel   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2     private_equity   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a            venture   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752     private_equity   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38              angel   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580            venture   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a            venture   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80            venture   \n",
        "\n",
        "                                                funding_round_code  funded_at  \\\n",
        "funding_round_permalink                                                         \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace                NaN 2013-07-23   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365                  A 2012-09-12   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6                  A 2013-05-28   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec                NaN 2013-06-12   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63                  A 2013-10-11   \n",
        "/funding-round/339647785b60e71ab176256b8a062774                  B 2014-08-12   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8                  A 2014-09-22   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7                NaN 2011-02-02   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444                  B 2013-08-26   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e                NaN 2013-12-17   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c                NaN 2014-03-03   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b                  C 2014-06-30   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48                  F 2009-01-01   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0                NaN 2013-01-16   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d                NaN 2012-10-17   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca                NaN 2014-02-24   \n",
        "/funding-round/3a4629496f195ec5035271602d485234                NaN 2014-08-11   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e                NaN 2013-12-18   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e                NaN 2014-05-01   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c                NaN 2013-01-01   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5                  B 2013-06-19   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd                  B 2014-01-09   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe                  A 2013-08-07   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff                NaN 2014-01-07   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483                NaN 2014-03-26   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54                NaN 2014-06-25   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e                NaN 2014-10-30   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838                  B 2008-01-14   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0                  C 2008-02-20   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84                  D 2009-01-12   \n",
        "...                                                            ...        ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf                NaN 2009-02-04   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db                  B 2012-01-01   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c                NaN 2013-04-24   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612                NaN 2013-12-01   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293                NaN 2013-12-02   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566                  C 2014-05-08   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7                NaN 2014-07-21   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454                NaN 2009-06-08   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799                NaN 2010-04-01   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925                NaN 2011-08-01   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52                NaN 2013-04-01   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649                NaN 2013-06-01   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b                NaN 2013-08-03   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117                NaN 2014-01-28   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e                NaN 2014-10-10   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735                NaN 2013-06-14   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234                NaN 2013-09-06   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b                NaN 2014-10-27   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d                NaN 2013-07-09   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842                NaN 2007-04-01   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970                  A 2007-01-01   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305                NaN 2008-08-01   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c                NaN 2013-07-29   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2                NaN 2013-05-09   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a                  G 2014-10-23   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752                NaN 2013-08-20   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38                NaN 2014-03-13   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580                NaN 2013-08-13   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a                  A 2014-09-01   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80                  B 2014-09-12   \n",
        "\n",
        "                                                funded_month funded_quarter  \\\n",
        "funding_round_permalink                                                       \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace      2013-07        2013-Q3   \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365      2012-09        2012-Q3   \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6      2013-05        2013-Q2   \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec      2013-06        2013-Q2   \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63      2013-10        2013-Q4   \n",
        "/funding-round/339647785b60e71ab176256b8a062774      2014-08        2014-Q3   \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8      2014-09        2014-Q3   \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7      2011-02        2011-Q1   \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444      2013-08        2013-Q3   \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e      2013-12        2013-Q4   \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c      2014-03        2014-Q1   \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b      2014-06        2014-Q2   \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48      2009-01        2009-Q1   \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0      2013-01        2013-Q1   \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d      2012-10        2012-Q4   \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca      2014-02        2014-Q1   \n",
        "/funding-round/3a4629496f195ec5035271602d485234      2014-08        2014-Q3   \n",
        "/funding-round/f3ca0e0715575437846695885f21349e      2013-12        2013-Q4   \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e      2014-05        2014-Q2   \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c      2013-01        2013-Q1   \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5      2013-06        2013-Q2   \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd      2014-01        2014-Q1   \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe      2013-08        2013-Q3   \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff      2014-01        2014-Q1   \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483      2014-03        2014-Q1   \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54      2014-06        2014-Q2   \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e      2014-10        2014-Q4   \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838      2008-01        2008-Q1   \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0      2008-02        2008-Q1   \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84      2009-01        2009-Q1   \n",
        "...                                                      ...            ...   \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf      2009-02        2009-Q1   \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db      2012-01        2012-Q1   \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c      2013-04        2013-Q2   \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612      2013-12        2013-Q4   \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293      2013-12        2013-Q4   \n",
        "/funding-round/7e61b0c22631b580112180a94c497566      2014-05        2014-Q2   \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7      2014-07        2014-Q3   \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454      2009-06        2009-Q2   \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799      2010-04        2010-Q2   \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925      2011-08        2011-Q3   \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52      2013-04        2013-Q2   \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649      2013-06        2013-Q2   \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b      2013-08        2013-Q3   \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117      2014-01        2014-Q1   \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e      2014-10        2014-Q4   \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735      2013-06        2013-Q2   \n",
        "/funding-round/f923a3256cbf209805ad900a85876234      2013-09        2013-Q3   \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b      2014-10        2014-Q4   \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d      2013-07        2013-Q3   \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842      2007-04        2007-Q2   \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970      2007-01        2007-Q1   \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305      2008-08        2008-Q3   \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c      2013-07        2013-Q3   \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2      2013-05        2013-Q2   \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a      2014-10        2014-Q4   \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752      2013-08        2013-Q3   \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38      2014-03        2014-Q1   \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580      2013-08        2013-Q3   \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a      2014-09        2014-Q3   \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80      2014-09        2014-Q3   \n",
        "\n",
        "                                                funded_year raised_amount_usd  \n",
        "funding_round_permalink                                                        \n",
        "/funding-round/bbdedaea55b5c2f0a4814a91c7d30ace        2013               NaN  \n",
        "/funding-round/0c34e9aeda49a68b54b048c125c80365        2012           3300000  \n",
        "/funding-round/54202ff7c6901052c657d61584b1f9f6        2013           1880000  \n",
        "/funding-round/514241eccd4edab7903b6c7d1f5f42ec        2013           1000000  \n",
        "/funding-round/e56ecdeebd8bd8970e41942e28797c63        2013           4500000  \n",
        "/funding-round/339647785b60e71ab176256b8a062774        2014           8000000  \n",
        "/funding-round/ba08e700e66fa5e12384e60e8cbcc7d8        2014           6000000  \n",
        "/funding-round/3925da8eee16114d6570c3a0985d8ad7        2011               NaN  \n",
        "/funding-round/c7087296aaa1e6ee33e9d174022ad444        2013           6000000  \n",
        "/funding-round/cabd3c8428576ef3018e1c91812a732e        2013           5000000  \n",
        "/funding-round/2107d9f9c8568d80d7972b6992c9c14c        2014           3000000  \n",
        "/funding-round/924be083c917d8ac047241c53fdf651b        2014          13080000  \n",
        "/funding-round/3fb22f83e95fb1cabfca2cbbcdb4da48        2009          40000000  \n",
        "/funding-round/9a466a1e2602795b46eabc65b12277e0        2013               NaN  \n",
        "/funding-round/e4183920092065834cd3ec1e498ac49d        2012           1200000  \n",
        "/funding-round/0155ffde94f5c477acd0e52ce5f87fca        2014            500000  \n",
        "/funding-round/3a4629496f195ec5035271602d485234        2014               NaN  \n",
        "/funding-round/f3ca0e0715575437846695885f21349e        2013               NaN  \n",
        "/funding-round/2e76287d0606a929e926312e68d6c61e        2014                 0  \n",
        "/funding-round/b1b5dbefec49800b9791f8974990e41c        2013          10000000  \n",
        "/funding-round/f744530cce618681192f6d9e334d0ef5        2013           3700000  \n",
        "/funding-round/ec9d6802389ed053dffb07ac9ee8acfd        2014           8400000  \n",
        "/funding-round/734f972917a468cbaa0fced4c60310fe        2013           9800000  \n",
        "/funding-round/635e75b6014396e40d84117b3c0687ff        2014           1600000  \n",
        "/funding-round/0f9f1cd76ce19e552f771abe59c32483        2014           1620000  \n",
        "/funding-round/2afd408dad65e43e9b1af3a852f8ea54        2014           2000000  \n",
        "/funding-round/f328070e282b09cdf034cc9b941e065e        2014           1800000  \n",
        "/funding-round/c0b21533794fc35ff56a26e922470838        2008          12000000  \n",
        "/funding-round/5424f8d2aa768a737b010ac1024308a0        2008          28000000  \n",
        "/funding-round/8ece8f4668dd0bdc869a6eb0a197df84        2009          24000000  \n",
        "...                                                     ...               ...  \n",
        "/funding-round/fd88bc8d12635d46e25106f6b2c1cbdf        2009          12700000  \n",
        "/funding-round/0391607b40e8d8d1f3e4cf36e06fc6db        2012           1200000  \n",
        "/funding-round/441925078ed4b78a3fe72d98744bd19c        2013           6000000  \n",
        "/funding-round/c03336b81d71755274c48d7a3719a612        2013           8000000  \n",
        "/funding-round/c608fef63d3a5f68227b386c0507a293        2013           8000000  \n",
        "/funding-round/7e61b0c22631b580112180a94c497566        2014               NaN  \n",
        "/funding-round/ce3db57eb6e70ab6cd089c09082fbbe7        2014           3600000  \n",
        "/funding-round/365b84dae9d6e2264f425f91ff9b9454        2009               NaN  \n",
        "/funding-round/61a294d317c2f74cdabc4f8b96527799        2010               NaN  \n",
        "/funding-round/064b2a75f8f0259805d14d5d151af925        2011               NaN  \n",
        "/funding-round/aeb62fcde22725715d03097e2ea7ff52        2013               NaN  \n",
        "/funding-round/fe12e7a0fb551e0e756b10dabd509649        2013               NaN  \n",
        "/funding-round/c21c550c4c8ad8f7660a1d9de79ce41b        2013               NaN  \n",
        "/funding-round/a9f44c174f683aaa7e14421c0c10f117        2014           3000000  \n",
        "/funding-round/563f4fa3e428b5b4738a0d0b39ab085e        2014           1000000  \n",
        "/funding-round/c392231129fde459a31f9b7ee0767735        2013               NaN  \n",
        "/funding-round/f923a3256cbf209805ad900a85876234        2013               NaN  \n",
        "/funding-round/6953bc5b4d7302797e060c96fc1b1f1b        2014               NaN  \n",
        "/funding-round/1fbdac141bb229304baced175b700a1d        2013               NaN  \n",
        "/funding-round/e3c18bc577de12897186ea2668ea3842        2007              9000  \n",
        "/funding-round/76a232e1ac21fd9912dc6ad7c04b5970        2007            263400  \n",
        "/funding-round/f9c8271bb4d88eab399485796ac49305        2008           1557400  \n",
        "/funding-round/04f480ddf19f264fbfb2a99343eb3d9c        2013               NaN  \n",
        "/funding-round/7cb5c9070cdcb535482b209796698fc2        2013          30000000  \n",
        "/funding-round/463de5ee1fc9c25cf45e88d2754b203a        2014           8199999  \n",
        "/funding-round/64e0d2bafe167a51be69ac678fa78752        2013          12000000  \n",
        "/funding-round/7c47dd82bc76607ea8cf60cb6a428f38        2014               NaN  \n",
        "/funding-round/5abb4d1afe518ab7ff453d362f647580        2013           3859800  \n",
        "/funding-round/79d0dc9121121b1147932b1401c6215a        2014           3500000  \n",
        "/funding-round/bc6ec5767c789dec7d704a5a9148db80        2014          32799999  \n",
        "\n",
        "[462 rows x 23 columns]"
       ]
      }
     ],
     "prompt_number": 70
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "invest_ind = investments[investments.company_country_code=='IND']\\\n",
      "            [['investor_permalink', 'raised_amount_usd']]\\\n",
      "            .groupby('investor_permalink').sum()\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 76
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "len(invest_ind)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 78,
       "text": [
        "628"
       ]
      }
     ],
     "prompt_number": 78
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "invest_us.sort('raised_amount_usd', ascending=False).head(10)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>raised_amount_usd</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>investor_permalink</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>/organization/tiger-global</th>\n",
        "      <td> 2204850000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/naspers</th>\n",
        "      <td> 1560000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/accel-partners</th>\n",
        "      <td> 1540325000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/morgan-stanley</th>\n",
        "      <td> 1309500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/sofina</th>\n",
        "      <td> 1243000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/dst-global</th>\n",
        "      <td> 1210000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/digital-sky-technologies-fo</th>\n",
        "      <td> 1210000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/government-of-singapore-investment-corporation-gic</th>\n",
        "      <td> 1000000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/sequoia-capital</th>\n",
        "      <td>  628550000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/softbank-internet-and-media-(simi)</th>\n",
        "      <td>  627000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 79,
       "text": [
        "                                                                  raised_amount_usd\n",
        "investor_permalink                                                                 \n",
        "/organization/tiger-global                                               2204850000\n",
        "/organization/naspers                                                    1560000000\n",
        "/organization/accel-partners                                             1540325000\n",
        "/organization/morgan-stanley                                             1309500000\n",
        "/organization/sofina                                                     1243000000\n",
        "/organization/dst-global                                                 1210000000\n",
        "/organization/digital-sky-technologies-fo                                1210000000\n",
        "/organization/government-of-singapore-investment-corporation-gic         1000000000\n",
        "/organization/sequoia-capital                                             628550000\n",
        "/organization/softbank-internet-and-media-(simi)                          627000000"
       ]
      }
     ],
     "prompt_number": 79
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cross_country_investing = investments[(investments.company_country_code != investments.investor_country_code) & pd.notnull(investments.company_country_code) & pd.notnull(investments.investor_country_code)]\n",
      "cross_country_investing = cross_country_investing[['investor_country_code', 'company_country_code', 'company_permalink']]\n",
      "cross_country_investing.info()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 16376 entries, /funding-round/33fbea0c06971aac9297ff2f9e56512f to /funding-round/655045befcf3c5b2805a0fbd73300e78\n",
        "Data columns (total 3 columns):\n",
        "investor_country_code    16376 non-null object\n",
        "company_country_code     16376 non-null object\n",
        "company_permalink        16376 non-null object\n",
        "dtypes: object(3)\n",
        "memory usage: 511.8+ KB\n"
       ]
      }
     ],
     "prompt_number": 92
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "invest_count = cross_country_investing.groupby(['investor_country_code','company_country_code']).count()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 94
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "invest_count.ix['IND']\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>company_permalink</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>company_country_code</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>ARE</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AUS</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>BEL</th>\n",
        "      <td>  3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CAN</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CYM</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GBR</th>\n",
        "      <td>  3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>IRL</th>\n",
        "      <td>  2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ISR</th>\n",
        "      <td>  7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SGP</th>\n",
        "      <td>  4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>UGA</th>\n",
        "      <td>  1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>USA</th>\n",
        "      <td> 97</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 98,
       "text": [
        "                      company_permalink\n",
        "company_country_code                   \n",
        "ARE                                   1\n",
        "AUS                                   1\n",
        "BEL                                   3\n",
        "CAN                                   1\n",
        "CYM                                   1\n",
        "GBR                                   3\n",
        "IRL                                   2\n",
        "ISR                                   7\n",
        "SGP                                   4\n",
        "UGA                                   1\n",
        "USA                                  97"
       ]
      }
     ],
     "prompt_number": 98
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "invest_count.ix['USA']"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>company_permalink</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>company_country_code</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>ARE</th>\n",
        "      <td>  14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ARG</th>\n",
        "      <td>  40</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AUS</th>\n",
        "      <td>  65</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AUT</th>\n",
        "      <td>  21</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AZE</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>BEL</th>\n",
        "      <td>  22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>BGD</th>\n",
        "      <td>  14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>BGR</th>\n",
        "      <td>   4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>BHR</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>BMU</th>\n",
        "      <td>   3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>BRA</th>\n",
        "      <td> 113</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>BRN</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CAN</th>\n",
        "      <td> 634</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CHE</th>\n",
        "      <td>  61</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CHL</th>\n",
        "      <td>   6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CHN</th>\n",
        "      <td> 803</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>COL</th>\n",
        "      <td>   3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CRI</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CYM</th>\n",
        "      <td>  13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CYP</th>\n",
        "      <td>   8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CZE</th>\n",
        "      <td>   6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>DEU</th>\n",
        "      <td> 213</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>DNK</th>\n",
        "      <td>  23</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ECU</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>EGY</th>\n",
        "      <td>   3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ESP</th>\n",
        "      <td>  92</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>EST</th>\n",
        "      <td>  13</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FIN</th>\n",
        "      <td>  32</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>FRA</th>\n",
        "      <td> 127</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>GBR</th>\n",
        "      <td> 904</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MAR</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MEX</th>\n",
        "      <td>  22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MKD</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MOZ</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MYS</th>\n",
        "      <td>  28</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NGA</th>\n",
        "      <td>  10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NLD</th>\n",
        "      <td>  69</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NOR</th>\n",
        "      <td>  18</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NZL</th>\n",
        "      <td>  16</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PAK</th>\n",
        "      <td>   2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PAN</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PER</th>\n",
        "      <td>   2</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PHL</th>\n",
        "      <td>   8</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>POL</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PRT</th>\n",
        "      <td>   5</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ROU</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>RUS</th>\n",
        "      <td>  73</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SGP</th>\n",
        "      <td> 131</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SLV</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SRB</th>\n",
        "      <td>   3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SWE</th>\n",
        "      <td>  78</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>THA</th>\n",
        "      <td>  12</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>TUR</th>\n",
        "      <td>  28</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>TWN</th>\n",
        "      <td>  11</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>TZA</th>\n",
        "      <td>   7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>UGA</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>UKR</th>\n",
        "      <td>   6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>URY</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>VNM</th>\n",
        "      <td>   3</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ZAF</th>\n",
        "      <td>   5</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>77 rows \u00d7 1 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 99,
       "text": [
        "                      company_permalink\n",
        "company_country_code                   \n",
        "ARE                                  14\n",
        "ARG                                  40\n",
        "AUS                                  65\n",
        "AUT                                  21\n",
        "AZE                                   1\n",
        "BEL                                  22\n",
        "BGD                                  14\n",
        "BGR                                   4\n",
        "BHR                                   1\n",
        "BMU                                   3\n",
        "BRA                                 113\n",
        "BRN                                   1\n",
        "CAN                                 634\n",
        "CHE                                  61\n",
        "CHL                                   6\n",
        "CHN                                 803\n",
        "COL                                   3\n",
        "CRI                                   1\n",
        "CYM                                  13\n",
        "CYP                                   8\n",
        "CZE                                   6\n",
        "DEU                                 213\n",
        "DNK                                  23\n",
        "ECU                                   1\n",
        "EGY                                   3\n",
        "ESP                                  92\n",
        "EST                                  13\n",
        "FIN                                  32\n",
        "FRA                                 127\n",
        "GBR                                 904\n",
        "...                                 ...\n",
        "MAR                                   1\n",
        "MEX                                  22\n",
        "MKD                                   1\n",
        "MOZ                                   1\n",
        "MYS                                  28\n",
        "NGA                                  10\n",
        "NLD                                  69\n",
        "NOR                                  18\n",
        "NZL                                  16\n",
        "PAK                                   2\n",
        "PAN                                   1\n",
        "PER                                   2\n",
        "PHL                                   8\n",
        "POL                                   1\n",
        "PRT                                   5\n",
        "ROU                                   1\n",
        "RUS                                  73\n",
        "SGP                                 131\n",
        "SLV                                   1\n",
        "SRB                                   3\n",
        "SWE                                  78\n",
        "THA                                  12\n",
        "TUR                                  28\n",
        "TWN                                  11\n",
        "TZA                                   7\n",
        "UGA                                   1\n",
        "UKR                                   6\n",
        "URY                                   1\n",
        "VNM                                   3\n",
        "ZAF                                   5\n",
        "\n",
        "[77 rows x 1 columns]"
       ]
      }
     ],
     "prompt_number": 99
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "invest_count.ix[('USA','IND')]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 101,
       "text": [
        "company_permalink    583\n",
        "Name: (USA, IND), dtype: int64"
       ]
      }
     ],
     "prompt_number": 101
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Which market gets the most investment dollars?\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "investments[['raised_amount_usd','company_market']]\\\n",
      "           .groupby('company_market')\\\n",
      "           .sum()\\\n",
      "           .sort('raised_amount_usd',ascending=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>raised_amount_usd</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>company_market</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Biotechnology</th>\n",
        "      <td> 1.475935e+11</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Software</th>\n",
        "      <td> 8.722225e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Clean Technology</th>\n",
        "      <td> 6.958990e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Health Care</th>\n",
        "      <td> 5.994843e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>E-Commerce</th>\n",
        "      <td> 4.768432e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Enterprise Software</th>\n",
        "      <td> 4.241772e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mobile</th>\n",
        "      <td> 4.203615e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Internet</th>\n",
        "      <td> 3.739474e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Advertising</th>\n",
        "      <td> 3.469002e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Semiconductors</th>\n",
        "      <td> 3.383968e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Finance</th>\n",
        "      <td> 2.505558e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Curated Web</th>\n",
        "      <td> 2.448018e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Hardware + Software</th>\n",
        "      <td> 2.445069e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Technology</th>\n",
        "      <td> 2.209097e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Web Hosting</th>\n",
        "      <td> 2.034072e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Games</th>\n",
        "      <td> 1.906473e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Analytics</th>\n",
        "      <td> 1.835564e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Transportation</th>\n",
        "      <td> 1.678087e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Security</th>\n",
        "      <td> 1.633595e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Health and Wellness</th>\n",
        "      <td> 1.603438e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Online Shopping</th>\n",
        "      <td> 1.408079e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Manufacturing</th>\n",
        "      <td> 1.222042e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Travel</th>\n",
        "      <td> 1.087952e+10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Education</th>\n",
        "      <td> 9.417769e+09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Social Media</th>\n",
        "      <td> 8.986376e+09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Fashion</th>\n",
        "      <td> 8.501845e+09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Video</th>\n",
        "      <td> 7.549672e+09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Search</th>\n",
        "      <td> 7.470412e+09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Automotive</th>\n",
        "      <td> 7.043365e+09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SaaS</th>\n",
        "      <td> 6.975657e+09</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Carbon</th>\n",
        "      <td> 5.184200e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Email Newsletters</th>\n",
        "      <td> 5.000000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Video Processing</th>\n",
        "      <td> 4.500000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Comics</th>\n",
        "      <td> 4.000000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Unmanned Air Systems</th>\n",
        "      <td> 4.000000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Ventures for Good</th>\n",
        "      <td> 4.000000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Intellectual Asset Management</th>\n",
        "      <td> 3.999400e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Veterinary</th>\n",
        "      <td> 3.462300e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CAD</th>\n",
        "      <td> 2.800000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Soccer</th>\n",
        "      <td> 2.500000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Home Owners</th>\n",
        "      <td> 2.200000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Self Development</th>\n",
        "      <td> 2.000000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Families</th>\n",
        "      <td> 2.000000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Direct Sales</th>\n",
        "      <td> 1.800000e+04</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Advanced Materials</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>BPO Services</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Consumer Lending</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Debt Collecting</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Estimation and Quoting</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Farmers Market</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Green Building</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Independent Music Labels</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Lasers</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Lotteries</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Physical Security</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Social News</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Software Compliance</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Synthetic Biology</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Technical Continuing Education</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Weird Hardware</th>\n",
        "      <td>          NaN</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>700 rows \u00d7 1 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 111,
       "text": [
        "                                raised_amount_usd\n",
        "company_market                                   \n",
        "Biotechnology                        1.475935e+11\n",
        "Software                             8.722225e+10\n",
        "Clean Technology                     6.958990e+10\n",
        "Health Care                          5.994843e+10\n",
        "E-Commerce                           4.768432e+10\n",
        "Enterprise Software                  4.241772e+10\n",
        "Mobile                               4.203615e+10\n",
        "Internet                             3.739474e+10\n",
        "Advertising                          3.469002e+10\n",
        "Semiconductors                       3.383968e+10\n",
        "Finance                              2.505558e+10\n",
        "Curated Web                          2.448018e+10\n",
        "Hardware + Software                  2.445069e+10\n",
        "Technology                           2.209097e+10\n",
        "Web Hosting                          2.034072e+10\n",
        "Games                                1.906473e+10\n",
        "Analytics                            1.835564e+10\n",
        "Transportation                       1.678087e+10\n",
        "Security                             1.633595e+10\n",
        "Health and Wellness                  1.603438e+10\n",
        "Online Shopping                      1.408079e+10\n",
        "Manufacturing                        1.222042e+10\n",
        "Travel                               1.087952e+10\n",
        "Education                            9.417769e+09\n",
        "Social Media                         8.986376e+09\n",
        "Fashion                              8.501845e+09\n",
        "Video                                7.549672e+09\n",
        "Search                               7.470412e+09\n",
        "Automotive                           7.043365e+09\n",
        "SaaS                                 6.975657e+09\n",
        "...                                           ...\n",
        "Carbon                               5.184200e+04\n",
        "Email Newsletters                    5.000000e+04\n",
        "Video Processing                     4.500000e+04\n",
        "Comics                               4.000000e+04\n",
        "Unmanned Air Systems                 4.000000e+04\n",
        "Ventures for Good                    4.000000e+04\n",
        "Intellectual Asset Management        3.999400e+04\n",
        "Veterinary                           3.462300e+04\n",
        "CAD                                  2.800000e+04\n",
        "Soccer                               2.500000e+04\n",
        "Home Owners                          2.200000e+04\n",
        "Self Development                     2.000000e+04\n",
        "Families                             2.000000e+04\n",
        "Direct Sales                         1.800000e+04\n",
        "Advanced Materials                            NaN\n",
        "BPO Services                                  NaN\n",
        "Consumer Lending                              NaN\n",
        "Debt Collecting                               NaN\n",
        "Estimation and Quoting                        NaN\n",
        "Farmers Market                                NaN\n",
        "Green Building                                NaN\n",
        "Independent Music Labels                      NaN\n",
        "Lasers                                        NaN\n",
        "Lotteries                                     NaN\n",
        "Physical Security                             NaN\n",
        "Social News                                   NaN\n",
        "Software Compliance                           NaN\n",
        "Synthetic Biology                             NaN\n",
        "Technical Continuing Education                NaN\n",
        "Weird Hardware                                NaN\n",
        "\n",
        "[700 rows x 1 columns]"
       ]
      }
     ],
     "prompt_number": 111
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Which market gets the most investment dollars in India?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "investments[investments.company_country_code == 'IND']\\\n",
      "    [['raised_amount_usd','company_market']]\\\n",
      "    .groupby('company_market')\\\n",
      "    .sum()\\\n",
      "    .sort('raised_amount_usd',ascending=False).head(20)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>raised_amount_usd</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>company_market</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Online Shopping</th>\n",
        "      <td> 11305500000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>E-Commerce</th>\n",
        "      <td>  4018555280</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Clean Technology</th>\n",
        "      <td>  1772017000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Curated Web</th>\n",
        "      <td>  1474882534</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mobile</th>\n",
        "      <td>  1258024000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Advertising</th>\n",
        "      <td>   897400000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Transportation</th>\n",
        "      <td>   724460000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Software</th>\n",
        "      <td>   692046500</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Finance</th>\n",
        "      <td>   656182000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Biotechnology</th>\n",
        "      <td>   459790000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Home Automation</th>\n",
        "      <td>   364000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Real Estate</th>\n",
        "      <td>   343600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Hardware</th>\n",
        "      <td>   302600000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Education</th>\n",
        "      <td>   282740786</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Security</th>\n",
        "      <td>   217040000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Jewelry</th>\n",
        "      <td>   213000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Analytics</th>\n",
        "      <td>   211550000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Health Care</th>\n",
        "      <td>   206420000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Hardware + Software</th>\n",
        "      <td>   194150000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Games</th>\n",
        "      <td>   188040000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 113,
       "text": [
        "                     raised_amount_usd\n",
        "company_market                        \n",
        "Online Shopping            11305500000\n",
        "E-Commerce                  4018555280\n",
        "Clean Technology            1772017000\n",
        "Curated Web                 1474882534\n",
        "Mobile                      1258024000\n",
        "Advertising                  897400000\n",
        "Transportation               724460000\n",
        "Software                     692046500\n",
        "Finance                      656182000\n",
        "Biotechnology                459790000\n",
        "Home Automation              364000000\n",
        "Real Estate                  343600000\n",
        "Hardware                     302600000\n",
        "Education                    282740786\n",
        "Security                     217040000\n",
        "Jewelry                      213000000\n",
        "Analytics                    211550000\n",
        "Health Care                  206420000\n",
        "Hardware + Software          194150000\n",
        "Games                        188040000"
       ]
      }
     ],
     "prompt_number": 113
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "investments[(investments.company_country_code == 'IND') | (investments.funded_year >=2013)]\\\n",
      "    [['raised_amount_usd','company_market']]\\\n",
      "    .groupby('company_market')\\\n",
      "    .sum()\\\n",
      "    .sort('raised_amount_usd',ascending=False).head(20)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>raised_amount_usd</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>company_market</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>Biotechnology</th>\n",
        "      <td> 45784700319</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Software</th>\n",
        "      <td> 25600534587</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>E-Commerce</th>\n",
        "      <td> 22865083457</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Enterprise Software</th>\n",
        "      <td> 16630107468</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Clean Technology</th>\n",
        "      <td> 16468227505</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Health Care</th>\n",
        "      <td> 16233216253</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Finance</th>\n",
        "      <td> 15152577885</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Transportation</th>\n",
        "      <td> 15053838568</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Curated Web</th>\n",
        "      <td> 13318647294</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Online Shopping</th>\n",
        "      <td> 12961270701</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Mobile</th>\n",
        "      <td> 10001123275</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Health and Wellness</th>\n",
        "      <td>  9470712226</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Analytics</th>\n",
        "      <td>  7491131425</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Education</th>\n",
        "      <td>  6489969851</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Advertising</th>\n",
        "      <td>  6148014461</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Hardware + Software</th>\n",
        "      <td>  6102775439</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Oil and Gas</th>\n",
        "      <td>  6059186366</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Travel</th>\n",
        "      <td>  5244774574</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Security</th>\n",
        "      <td>  5056600726</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Technology</th>\n",
        "      <td>  4848314582</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 112,
       "text": [
        "                     raised_amount_usd\n",
        "company_market                        \n",
        "Biotechnology              45784700319\n",
        "Software                   25600534587\n",
        "E-Commerce                 22865083457\n",
        "Enterprise Software        16630107468\n",
        "Clean Technology           16468227505\n",
        "Health Care                16233216253\n",
        "Finance                    15152577885\n",
        "Transportation             15053838568\n",
        "Curated Web                13318647294\n",
        "Online Shopping            12961270701\n",
        "Mobile                     10001123275\n",
        "Health and Wellness         9470712226\n",
        "Analytics                   7491131425\n",
        "Education                   6489969851\n",
        "Advertising                 6148014461\n",
        "Hardware + Software         6102775439\n",
        "Oil and Gas                 6059186366\n",
        "Travel                      5244774574\n",
        "Security                    5056600726\n",
        "Technology                  4848314582"
       ]
      }
     ],
     "prompt_number": 112
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "investments.ix[1]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 114,
       "text": [
        "company_permalink                  /organization/advercar\n",
        "company_name                                     AdverCar\n",
        "company_category_list                  |Cars|Advertising|\n",
        "company_market                                Advertising\n",
        "company_country_code                                  USA\n",
        "company_state_code                                     CA\n",
        "company_region                                SF Bay Area\n",
        "company_city                                San Francisco\n",
        "investor_permalink        /organization/1-800-flowers-com\n",
        "investor_name                           1-800-FLOWERS.COM\n",
        "investor_category_list                       |E-Commerce|\n",
        "investor_market                                E-Commerce\n",
        "investor_country_code                                 USA\n",
        "investor_state_code                                    NY\n",
        "investor_region                             New York City\n",
        "investor_city                                    New York\n",
        "funding_round_type                                   seed\n",
        "funding_round_code                                    NaN\n",
        "funded_at                             2012-10-30 00:00:00\n",
        "funded_month                                      2012-10\n",
        "funded_quarter                                    2012-Q4\n",
        "funded_year                                          2012\n",
        "raised_amount_usd                                 2000000\n",
        "Name: /funding-round/0347630bdf4b26a66ebc20666d3b2069, dtype: object"
       ]
      }
     ],
     "prompt_number": 114
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Who are the biggest acquirers?"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We have to load yet another excel sheet to answer this question."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "acquisitions = pd.io.excel.read_excel('crunchbase_monthly_export_d43b44299ade53.xlsx', sheetname='Acquisitions', index_col='company_permalink')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 117
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "acquisitions.info()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 12851 entries, /organization/waywire to /organization/zytex-group\n",
        "Data columns (total 21 columns):\n",
        "company_name              12851 non-null object\n",
        "company_category_list     9243 non-null object\n",
        "company_market            9242 non-null object\n",
        "company_country_code      9599 non-null object\n",
        "company_state_code        7373 non-null object\n",
        "company_region            9600 non-null object\n",
        "company_city              9401 non-null object\n",
        "acquirer_permalink        12851 non-null object\n",
        "acquirer_name             12851 non-null object\n",
        "acquirer_category_list    11160 non-null object\n",
        "acquirer_market           11160 non-null object\n",
        "acquirer_country_code     11995 non-null object\n",
        "acquirer_state_code       9612 non-null object\n",
        "acquirer_region           11995 non-null object\n",
        "acquirer_city             11878 non-null object\n",
        "acquired_at               12851 non-null datetime64[ns]\n",
        "acquired_month            12850 non-null object\n",
        "acquired_quarter          12850 non-null object\n",
        "acquired_year             12850 non-null float64\n",
        "price_amount              3642 non-null float64\n",
        "price_currency_code       12847 non-null object\n",
        "dtypes: datetime64[ns](1), float64(2), object(18)\n",
        "memory usage: 2.2+ MB\n"
       ]
      }
     ],
     "prompt_number": 119
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "acquisitions = acquisitions[acquisitions.acquired_year>=2000]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 120
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "acquisitions[['acquirer_permalink','company_name']]\\\n",
      "             .groupby(\"acquirer_permalink\")\\\n",
      "             .count()\\\n",
      "             .sort('company_name',ascending=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>company_name</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>acquirer_permalink</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>/organization/google</th>\n",
        "      <td> 164</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/cisco</th>\n",
        "      <td> 123</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/ibm</th>\n",
        "      <td> 121</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/microsoft</th>\n",
        "      <td> 114</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/yahoo</th>\n",
        "      <td> 101</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/oracle</th>\n",
        "      <td>  90</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/emc</th>\n",
        "      <td>  60</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hewlett-packard</th>\n",
        "      <td>  60</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/facebook</th>\n",
        "      <td>  49</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/aol</th>\n",
        "      <td>  48</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/apple</th>\n",
        "      <td>  48</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/intel</th>\n",
        "      <td>  47</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/ebay</th>\n",
        "      <td>  45</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/amazon</th>\n",
        "      <td>  41</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/twitter</th>\n",
        "      <td>  38</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/groupon</th>\n",
        "      <td>  33</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/nokia</th>\n",
        "      <td>  30</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/salesforce</th>\n",
        "      <td>  30</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/adobe-systems</th>\n",
        "      <td>  28</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/dell</th>\n",
        "      <td>  28</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/zayo-group</th>\n",
        "      <td>  27</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/electronicarts</th>\n",
        "      <td>  26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/zynga</th>\n",
        "      <td>  25</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/autodesk</th>\n",
        "      <td>  25</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/iac</th>\n",
        "      <td>  24</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/blackberry</th>\n",
        "      <td>  24</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/qualcomm</th>\n",
        "      <td>  23</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/thoma-bravo</th>\n",
        "      <td>  22</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/intuit</th>\n",
        "      <td>  20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/homeaway</th>\n",
        "      <td>  19</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hansa-medical</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hanon-mckendry</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hanlon-investment-management</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hangzhou-tigermed-technology-co-ltd</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/handelsbanken</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hanco</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/halo-healthcare</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/halma</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/harrison-gypsum</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/harvest-power</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/healthgate-data-corp</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/harvestmark</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/healthcare-solutions</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/healthcare-of-today</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/healthagen</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/health-insurance-innovations</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/health-grades</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/health-club-media-network</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/health-care-reit</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/headstrong</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hdfc-bank</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hcp-company</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hcl</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hca</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/haymarket</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hawker-beechcraft</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/havok</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/havas-discovery</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/hasbro-inc</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>/organization/zyraz-technology</th>\n",
        "      <td>   1</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>6485 rows \u00d7 1 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 127,
       "text": [
        "                                                   company_name\n",
        "acquirer_permalink                                             \n",
        "/organization/google                                        164\n",
        "/organization/cisco                                         123\n",
        "/organization/ibm                                           121\n",
        "/organization/microsoft                                     114\n",
        "/organization/yahoo                                         101\n",
        "/organization/oracle                                         90\n",
        "/organization/emc                                            60\n",
        "/organization/hewlett-packard                                60\n",
        "/organization/facebook                                       49\n",
        "/organization/aol                                            48\n",
        "/organization/apple                                          48\n",
        "/organization/intel                                          47\n",
        "/organization/ebay                                           45\n",
        "/organization/amazon                                         41\n",
        "/organization/twitter                                        38\n",
        "/organization/groupon                                        33\n",
        "/organization/nokia                                          30\n",
        "/organization/salesforce                                     30\n",
        "/organization/adobe-systems                                  28\n",
        "/organization/dell                                           28\n",
        "/organization/zayo-group                                     27\n",
        "/organization/electronicarts                                 26\n",
        "/organization/zynga                                          25\n",
        "/organization/autodesk                                       25\n",
        "/organization/iac                                            24\n",
        "/organization/blackberry                                     24\n",
        "/organization/qualcomm                                       23\n",
        "/organization/thoma-bravo                                    22\n",
        "/organization/intuit                                         20\n",
        "/organization/homeaway                                       19\n",
        "...                                                         ...\n",
        "/organization/hansa-medical                                   1\n",
        "/organization/hanon-mckendry                                  1\n",
        "/organization/hanlon-investment-management                    1\n",
        "/organization/hangzhou-tigermed-technology-co-ltd             1\n",
        "/organization/handelsbanken                                   1\n",
        "/organization/hanco                                           1\n",
        "/organization/halo-healthcare                                 1\n",
        "/organization/halma                                           1\n",
        "/organization/harrison-gypsum                                 1\n",
        "/organization/harvest-power                                   1\n",
        "/organization/healthgate-data-corp                            1\n",
        "/organization/harvestmark                                     1\n",
        "/organization/healthcare-solutions                            1\n",
        "/organization/healthcare-of-today                             1\n",
        "/organization/healthagen                                      1\n",
        "/organization/health-insurance-innovations                    1\n",
        "/organization/health-grades                                   1\n",
        "/organization/health-club-media-network                       1\n",
        "/organization/health-care-reit                                1\n",
        "/organization/headstrong                                      1\n",
        "/organization/hdfc-bank                                       1\n",
        "/organization/hcp-company                                     1\n",
        "/organization/hcl                                             1\n",
        "/organization/hca                                             1\n",
        "/organization/haymarket                                       1\n",
        "/organization/hawker-beechcraft                               1\n",
        "/organization/havok                                           1\n",
        "/organization/havas-discovery                                 1\n",
        "/organization/hasbro-inc                                      1\n",
        "/organization/zyraz-technology                                1\n",
        "\n",
        "[6485 rows x 1 columns]"
       ]
      }
     ],
     "prompt_number": 127
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "What are the trends in funding year on year?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "investments.info()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "<class 'pandas.core.frame.DataFrame'>\n",
        "Index: 112590 entries, /funding-round/3b01561dd8c054727c9ddc0705a73f4c to /funding-round/e732b70e579f61fd973820ea9e348d7d\n",
        "Data columns (total 23 columns):\n",
        "company_permalink         112590 non-null object\n",
        "company_name              112587 non-null object\n",
        "company_category_list     108648 non-null object\n",
        "company_market            108647 non-null object\n",
        "company_country_code      105300 non-null object\n",
        "company_state_code        77851 non-null object\n",
        "company_region            105300 non-null object\n",
        "company_city              103940 non-null object\n",
        "investor_permalink        112528 non-null object\n",
        "investor_name             112528 non-null object\n",
        "investor_category_list    28906 non-null object\n",
        "investor_market           28854 non-null object\n",
        "investor_country_code     85082 non-null object\n",
        "investor_state_code       61418 non-null object\n",
        "investor_region           85082 non-null object\n",
        "investor_city             84574 non-null object\n",
        "funding_round_type        112590 non-null object\n",
        "funding_round_code        53847 non-null object\n",
        "funded_at                 112590 non-null datetime64[ns]\n",
        "funded_month              112590 non-null object\n",
        "funded_quarter            112590 non-null object\n",
        "funded_year               112590 non-null int64\n",
        "raised_amount_usd         99563 non-null float64\n",
        "dtypes: datetime64[ns](1), float64(1), int64(1), object(20)\n",
        "memory usage: 20.6+ MB\n"
       ]
      }
     ],
     "prompt_number": 128
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "yearly_invest = investments[investments.funded_year>=2000][['funded_year','company_market']].groupby('funded_year')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 132
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "index = []\n",
      "from collections import defaultdict\n",
      "plotpoints = defaultdict(dict)\n",
      "for year, group in yearly_invest:\n",
      "    index.append(year)\n",
      "    rank = 1\n",
      "    for key, value in  group.company_market.value_counts().head(10).iteritems():\n",
      "        plotpoints[key][year] = rank\n",
      "        rank = rank + 1\n",
      "    "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 142
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "with plt.style.context('fivethirtyeight'):\n",
      "    plt.figure(figsize=(15,8))\n",
      "    plt.gca().invert_yaxis()\n",
      "    for market,points in plotpoints.iteritems():\n",
      "        values =[points.get(year, 11) for year in index]\n",
      "        plt.plot(index, values)\n",
      "    #plt.plot(x, np.sin(x) + x + np.random.randn(50))\n",
      "    #plt.plot(x, np.sin(x) + 0.5 * x + np.random.randn(50))\n",
      "    #plt.plot(x, np.sin(x) + 2 * x + np.random.randn(50))\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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KBjXriFeb5kyG6rwA0VI1DCMKH/H0MV0wrVapAU+/O8M4opLjYlISKpXTrAUq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\nWssaO8mX/YatFWxqgPTpuwAC2bn9jcFVfY4AowrMA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9VpAEiw80gLcLrQKLCrNjjte4/R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HlLP9ti/piWyiZWfRRmhtCFNw0UNB7AFJA11ms9iaCvtLD4Az3KPyBVdCncoGve2GrluwOFjx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\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QajJgSQulYTvX3wwlyT9jJJZhxqV9e4vQqq6u9ukaHyj67BLRiXAMMHcSzr5SyRKIJbQg\nNLzxW0AMbMMq9h2GUE/pn1anCXu6lkJWuJBoyN0v7gR3lv4tpcJ56OnpIdIGjuOQmZmpPnrKSIpO\nR0KU28BPViZL+778ddRjYE1pMJb8EIpHNBrPSliZfAARegc2bNiAyMjg+CyEGgxnhC73K9hniYBD\ncd8mjToD1sz/vO8DeR7iYjftWzYAo91/AERP+QoDw9zvgosMPGpxDDWD0z+hdra8C8XhIUlieOhz\nXXpDk8mkuYdOVfJSHKsjG5QWq0SkYIGiMGMBrllyBwZ0BWgw3UR+l2Bk8NMlUTDM0EbscsW9ReEw\necTRDDsV/LUuQH2losDw8q/BV9LppfOq9XB+7kvBOM0r8BPRBhbPlEcj3ONvqgD4ydEh1Fv83x/0\nDXXib9v+L17d8RwGrNp9QHp8Lr52wxO4adm9QfPeCTb0vAF3r/s2zCbqG/TRoZc1ssKJ4BQFbDn6\nJlnzKhu6RDEmz42Npe/FiRMnApb3KIoMof539Pkj88En+/YwGkNafA6+sPJrZE2njGLO8J9gZkfx\ndHk0og0zV9bOeEHd1qOKF4oug+LRsTGLw6g+uDtoRQkAlOZdTboclpF+WJVuMjmRJDoVTUlJwYoV\nK0LWvR6bUI8hq7cTuZ1tsHt0bHSyEy2HdwRUuB46dIg0LMxm84RmQHJ6DuQUVxFyNNGEbdnUBVLS\n0am5wLh0Nup87smCa6a5k7IuBhn6BeS9dzhH8fK2ZzFidzEIFEXBoRpqRra4YNVF13GWZbFpoBF6\njwzZUd6A+vmrAjo3NVvCs6AGXIW7p1HdyMgImpupo+9koXa6LYjiJ52tJ9zxIPmesV1t0G1/b5wj\nKGRrExxnngHg8b3kwrCnczkckusza7FY4HAE3tn2B2xTHRjB/dxydByUxFTNdDozMzMkE1Hvbt+H\nfDzaDS5hOTwvu7K1AbJNGxdyuUIKn43Tw5Tqb+LtuHbWCSTGmX0cdWmi31iEE1aqw1oRxyLMMD4l\nWCxzGTsqLDC4Wg9ZRymTutz7wCcs83aoX7CJMpqH3fcnBkCBn8aEk4UiDMDZTDeEfPqNYD1o/mrJ\ny/nz5zUMr0Bg4lnkq/5d6sjAQJGSsQ515q8AHtc+TrFjnW4bYmdwI3a5IsbA4u58+h15t3EULQHE\nLum2vgPdzvfJmpQ3F477/gu4whaYdmRF8vjxYjNJNbFLCh6vsKDPPr6GWHA6sPXoW/jf9x5HfZuW\nRRhujMTNy7+K+6//wbgRrJcK3HIR975PVmS8sfM36Bn0X651sHorSZ4ZTzZ0qUKv12Pjxo0X5ZNj\n2Lt3r2b4OB68yYb0eQ/47SOSnLQQPWZq4maSe7FWeQXpM+xZOON3kNZeugEWYigVOcXRjZaWFhw6\nNPFm1V+EGcIxP5du+g7X7UR2drbXx5vNZqxfvx4cFzrTF9lK3wddv6KZ1CcLPRjo7fFbu9DS0oLW\nVrpZLy8vn/jfwTAQy9agyazH60Xx5FdOJhxVkV+FDPdzOGGDDDFotG/PCTUA9ITHYFbyXFyz+E6y\nPmB1mVyIkhNNnTVkYs0yLJYUuh3L2fMNiDqymxx/ILMEB0+f0TRPxsOSBD08b/F1FhH9Hq7bBoPh\nYq73GIJlTqamPM4LlO7tATk9B+JqGkeg/8dfAevEG2BFGIT91I8AyVMfzsJQ/H0w4VQOEcyIBU9w\ndafJz1LhPCjQ6qfVU7NgQq2xOtdRRbIlvYE1xIKNpiyXz4LbN+CSOGzfvh1nupJQNUh9MHTOVjiq\nfglFCV5jNNTYcvQteF5lY3gRC3VNE5rJSbMXQI6IxNBSHs5keovlUzZCl3nrlM6rdlAk55UZwSFC\nF9pbuXDub/T7zkdCn30XeUxiYqLGW6S6unpKr6vWdKo9JALBoEPG9yssEBSP51RkFFpfRVvzJ9hz\n+kPfB1+BT9w6y4SkMA+3ewX4XdX48pcxcCcPQf8q9RaQ45Nh/9ZPfUZYXkHosSTRgEeKqXyne1TG\nDyoscEjavaeiKDjdeAjPvfs97Dn9ISSZNlQYhsHS2RvwrZt/gdL8lZcFzXkMKXFZuHXlQPNU5AAA\nIABJREFU10lCkN1pw8vbn53wfg+4spN3n/qArI0nG7qUERkZiQ0bNpAaQpZlr/JYbxhPNuQPHJKC\nH1RYUMOtRpd+EfldX18tPjz415DE1fqLGf9UexbUCoAGB6UUpAouitmZM2eCkm85hrKi9eTncx1V\n0Ju0XX6dTodNmzbBaAyd66fs6IcieEx3RQXckIIDqrislAvvRWNj44TaBVmWNU2IlJQUv/XfPSUL\n8MeSRIgeFDgZHKoivoxBxIKN8mh8MIDAjASnoJZEsK20KOoJj0FCQgKumrMRiwtWk9+d767He/v/\nhAMqo7KizFK3s6uiQP/682A8NvP9YWacTs7H0NBQQAVvtIHVTIOO9NAprJr23dHRgf5+Gok2Gaj1\n04Eakqkh3HIvFI8YEmZk2FVUjwNFEmA/9SQUO3Wj1+c/AD5uiSYnvLs7ODnXanC1VIIgF8xDd3c3\niXMIFd17DEkx6UiMdk/oZEX2arqiBp9Ead9i124fj7y8cODAgYsNvJN9JWgdSSG/l3oPwKm6mV6q\nONt2GnWt9DO2OtoKjgGEhj+SnG0NOB7Wtdmw59PrBBtdAn3hN6fMclIbkoU6f1q2NkFs/4Ss6XPu\nBqOjVE2GYTRT6tra2ilJgdRNw8k4fQOAICn4wWELOmy0oZMz+hHinK6if9uxt1HZdNjb4VcwDgwc\ngwfm0OJrX6eAE73jswnY1nMwPv8kuS8rRhPsjz4NxSPe8QpmBp/PMeGWHDqNrB4U8fPjQ5A9ipau\ngVb8efMv8Obu5zFk0+5zspMK8dCNT+H68nsmZPdcqpidWYqNi79I1vqHu/H6zv+FKI1/fdtx4j0i\nRTTqTePLhi5xJCUlYdUqyuz0ZeCshrPlPZ+yoYmgKAp+fnzI5R/CMKgPvxUWng5Mjtbvxv6qzf79\nQ0KAGS2oraNDhAYh8EnodXhSsSQkCu7f79+/f8pGJ2NIic0kjoKcokflaW3BvmDBAkRHh9bCXz2d\n5gcVjHBhOBVH83tTPD6IJ06cQH19vc/nrK2t1VCwly5d6tdmzi6M4q+Vb8Oqp5PsSNscDOlcH2Bb\nOI3JEZjgGJMxna1gnO4v5YjOCJs+DImJiWAYBjcs/RJmpdCC9WTDftSo9KtLPRom3KlDGn3WnpyF\nkC+YYBw/fhx2ux3+Qm0Mp6Z9x8XFITmZdh+n2gwadso4N0Qv3MVTjJJTzDEQPncPWdNtfxdMp3fz\nOUVR4Kh5FvIQnTrxadeDT3dpEhMTqRwgJDpqWfYyoZ7vle7t6d4fCqgzqc80Tuz2zato38pIE+SR\n88E+tWlFZWUl+YwrYFAnXQcmnN7wnOffgrN9y3SfXkCQZRmfHHmdrKUbnCgIczXOFHs3nK2+5RFi\nz36MxlCWDWcFjEXfBcNO/fM43YZkwtnfw1PawYSlgU+73utjc3NziT+Hw+FAQ0OD18f6gxLVNe6s\nRYTVGRjLQVEU/M/JYZxRTbfXpyjIk+l94e97X0Rbb+PkTvZfGGtTDZij+hw+X2klhZcnmKEBGJ99\nDIzdwyCUYWF/6EeQ04NvInkFk8NDcyOwJIHud3a2O/BS7Qjsgg3/rHgVz7//QzR2apkokaZo3Lby\n67jvmseQHBu6xvZ0Yfnca1GaR2MRm7pq8cGBv/icinYPtuFI7U6ytmb+TTAZI7w+/nJBbm6uxth4\ncHAQ27dv9ynPdcmG3iBratnQePhL7Qh2truHVwrDw5D174iOoEOczYdfR03LcfXh04IZLajbVHRv\np3kp+bk4hoOR99h4Kgq2bduGwUFVdNMkUX6h6GIUFvHSbChemL8Wi0W7GGTIw3TDoeuXUZFYAol1\nF7QZJgbq+Ok9e/Z41S4IgqCZYOfn5yM+Pl7zWM25yDLe2vMCugcpVXxDkwU3NLo3/e0KdfwTGCv6\n+/unTLfgvNC9GYa5SCXkWB53rH6Y5AADgOJBgkyMTkN28oWYDUmE4fUX6LkWzkdrYrb7Z0HAsWMT\nG0qNQX2DOdwjaDYO6klNfX39hN278XCm30lonrMiOZj1U//6Ojd8AXJ80sWfGUmC4Y3feX9s02uQ\nuujNgY1ZCH3+gxcbNeoJdSgKara1EYzNTSlUwiMhpWahsZFuhHNzc4P+2moUZ6lo351VsI6OT31i\n9NFgYyj75HKmfbe0tODAgQNkLTw8HOs2Xg/j/KfA6Om0Saj9NaQBrb7uUsGxs3vQNUCvfxsLS4mc\n09n0OhRBex+Shs/CUfkLwOPbyggKorc6wNdOLZt5DNNpSCb2HYHUT4tOfd6/+2wM8DyPwkLaCK6s\nrJz0fSHawCI70sOQEkBlgLTvV8/asLmVNkwXxuvw3UWJuHPNN8F6mOg5JQGvbP8VLCNTZxT9K4Fh\nGDw0lzIW6iwitrZ6aVQLDhif+wHY3i66fNc3IM1fqn38FcwYeJbBE4vN5DsIRcY/T+/BL9/+LvZX\nbYaskvFwLIcVxdfhWzf/HPNmXfWZcc1nGAY3XvUVZCfR69uxs3ux78zHXo/ZfOQN8v7ERiZq2LGX\nK0pLSzV7rNbWVs1eYAxa2VCERjbkC9ta7XipjkbQZkdyeGJpKr60/lEYdG4mhQIFb+1+AR390z+k\nmNGCWq2fHtDTD+qKtAisWbOGrAmCgM2bNwc0UfSF2ZmLEGmMRpxUAIPi3Wmwubk5II3tZKCZUPcr\nOJBMJ8BLk41+axdOnDhB3h+O47BkCd34+8InR17TUB3nd4/gmsZBLO45g2iH67U6HGEQGPd75mCG\n4XQ6p2RCA3jRT0fEICYmhkwawwzh+NL6RxGm904fKi9af/Eizu/6CGy72xRMYRiIdz+MharuWlVV\nld+NmjkxOuKCaREU1Fno1Cg7Oxsmk5tOLYpiwG6InlBTHaeinybQGyCoYsP4Y/vA1tDccrFrD5yN\nlA7OmDJc+cOsezIRGxtLPqM2m43QsIMBNd1byi9BV08PeR2e5zUxD6FAQnQqkmLcr6MoCqqaJ46S\nULt9X67xWQMDA9i+fTspmHiex6ZNm2AymcAaE2CY92OA9Yy6EGE//ZNLMoPb4RzF9mPvkLX5ucuQ\nXfI1Ggkm2SA0vkweJzv64Dj1Y0D2kIDICqJ2OcEPKeAraDNqMuizS+gedW/QdCwwyxyaCbUiSxem\n026w0fPAxY9f9KhNL/v6+qYk/ZgXS691gcRn7W634/fV9PqTHs7hycVR0LEMZqXMxo1X/Rv5/fDo\nIF7Z/isIztAYKn5WURyrw5pU2vX/ffUI7KJniosCw5/+jyahwbnmc3BuuGU6TvMKAkSEjsUzZdGI\n0jMIF9swb/h5FI68Aaeg3evlps7FNz73U2xafDspcj4r4Dked655hETvAsDWo2+hqpk2Hs+2n9Hs\npTcuvh08F/qIw+kAwzBYuXKlhpVYVVWlkVF6lw3do5ENeUNlvxO/OEE/a1F6Bk+XRSNCxyIxOg23\nr/4G0eULogOvbH8Ww7bgDF/9xSUzoZbAo9VJDU3KEvXIzs5GWRl10x0aGsLWrVunXOjyHI9ZEUtg\nUujk1jMPz+FwoL09tBs/tcM31y9jfxItqMsS9UhKSsLKlXQjrtYuDA8P48wZauk/f/58hIdPrF05\nXLsTB6ooHTPdDtxV3QcWAK/IWNPmprRa9EUX/19iHJAgTJn2zaocvrsv6KfViDMn48413/TqDJgz\nFkVgs8Lw7p/I78Srr4WclY+5c+eSCB9FUVBRMTFdF3B1bRcljE/7ZllWs7Gsqqqa9KTmpMrdVp3R\nOhWI5Wsh5VIaveHV54EL1B1pqBaO6v+mB/GRMM57EoyOUpdYltUYEwVbR816MSRT072zsrKI23oo\noXH7bvKD9p24nDgNKyPNkK1NwT61kGJ0dBSbN28mGfcAsHbtWvIZ4MyFMMz+Dj1YHIb91I+gOCc2\ndZlO7D39Eax2NyuJ53TYUHorGJ3WhEts+/ji30yR7HCc+jEUBzXhizwkwtDh+h7xxz4FhKkVaTUq\nuneemQ9Z5qbY8QmUEc+EAgb6/PsnnDiZzWaNd8FUjBnV1zp/jclqB514+jjdiEXqGDxTHkXYPYsL\nVmP53GvI4zr6m/H23t9qpm9XMD4emB0BT3+8XruMNxvckyXd+3+D7gBN4xDnLoLjnkeuOHpfwoji\nR3Gz4UMsHHoOUaI2tSQ6PB53rvkmvrzhv5AQnerlGT47MBkjcM+6R2HUuQcmChS8vfe3aO9zvTey\nLOOTw6+R47KSCjAnkxppXe7geR4bNmzQ1BcHDhxAS4tbOiic/QP8lQ15otMm4QcVg/BU+ehY4CdL\nopAa7h7c5KeV4Lqyu8mxlpF+vLrjOTjFqSVDBIIZK6gVRSET6iF+FkSPvM+kMBaZEa43bN68eSgo\nKCDHd3Z2Yt++fVOiGNfX12Ogg0aaCBhBYiotCNSb9WBCkexQbFQX3iKmosvkLvINnHsimZeXN652\n4fDhw6TRYDKZMG/evAnPo6G9Eh8epBNIsykG/5Z8NfSy+z3e0Lr/4v/bwheSxwuMdWoFtaJ4dfhW\nd8DGkJMyG9HhcZr1t3a/AMHpgP6DV8AMuzfHisEI4Zb7ALguBOpGTXNzs9/Nk4l01ABQVFREmjMW\ni2VSHgB2UUGtaiMdzIIaDAPHXd8gS1xzHfj9WyHbey5M3Tz+fQwPY8kPwZq83zhDqqNWFM2E2llQ\noqF7h9LdW42SHPo5auqqmbAzyujM4GLo9+dyon1LkoStW7dieJgWxOXl5V6ND/mkldDl0ExZxdYK\n+5mnocjBya+fKiwjffi0knbRl8+99qK5IZ9+I5gwz8+87DIoU2Q4qv4b8jD1tODTboKxK+riz4zd\nBu7M1EyvqtWGZJPIofcHijgC4Ry9H/DJ68BF5vs4gkJtzNjY2Aibzebj0eNDfa2rGXB6dRr2RM+o\nhMcrLHB49Nw5BnhycRQyIrSNto2LbkdhBm1iV58/hm1H357UOf+rIiWcw62zaHbNq2dH0GuXwB/a\nCcM7tMEtp2TA/o0fA9PU/LyCwCDLMg7X7sRz73wXDc27wIB+72TwGIraiK/e8FPMyVr8maF3T4SE\n6FTcseZhMhV1igJe2f4shmwDXmVD1y656zP5/phMJmzatImwSBVFwfbt2zEwMHBBNkRZe+PJhsZg\nE2U8dmgQAwL9zP3X/EivDM3y2esvynjH0Np7Du/s+8O0OX/PWEE9MNyNUYebijVkpDfgskT9xQ8f\nwzBYsWKFxuiprq4Op05NTovX2dmJPXsozVKCgB6+CoMSNWVqamoKGe1btjbCU2/HDck4FEdv7Avi\n9DB4TCFKS0sxaxY17mhtbcWOHTs0BjCLFy+e0Jipx9KB13f9/6Qbr+P1uHvdozAt3UQeu6inErF2\nV7HQw2RB8YgScEzRmIwZ7AM77C5EnCyHwbBIrxNqAGjrbcSAVVusdfQ34+/bngO3hW6GhOvuhBLj\nblTk5OQgKSmJPObgwYN+ZZ6rC+qqfieGBXqcyWTSFHaTMSerGnDCc/+YauIQbwxuhJucNxfOMiqv\n0L37Ihwnf0gd6AHoCx8BF+O7SRNKHTXT1QbW4tY3KnojOoxRZLOu0+mmhe49hjhzMlJi3UWkv7Rv\nzgvteyYjH/yFoijYu3cvurqoBrKwsBAlJb7jL3TZd4FLop8xeeA4hPoXLol/99ajb0OU3AVrRFgU\nri5xd9EZVgd9HnUklfoOw1H5S0g9+8g6F7cE+oIHIC6hbqj8oanRvrX66dAUIs7mNwGnh38Ia4Au\n9yt+H5+eng6z2Z07LssyampqJnUuiWEcUkzurYqouK6JvjAqKvh+hQW9dno9fnReJEoTvEtlWJbF\nbSsfRHIMnazvPfMRjtVfPo2uSwF355sQpfeIGJKAT3adgOH3z5DHKeFmjD76DBA+Me3zCqYfLd1n\n8buPnsT7B/4Cm0Mbg9anm4OjUd/BSW4Dfn7SAekSuIZPJ3JT5+L6ctokHrIN4OVtz2Lbsb+T9fmz\nll0WuduTRVxcnEae63Q6sXnzJxiqockebHTJhLIhSVHw1NEhNA7TuuuefBM2ZviWElxbdhfyUuke\n5EzTIew84dtENJiYsYJarZ+26NUFNdXicByHDRs2kJs0AFRUVKCpqSmg1x6jjHsWTgpk9HDVkBgH\n6nuPwmBw33gFQdDkOQcL3vXT1LBIXbwxDINVq1ZpChf1lC4uLg75+eNPFGx2K17e9izsgrsgYcDg\n1qu/jtS4LCjJGZAy3bnKHJSLtO9RRQ8rl37xdwIzPKV4KPY8bQb0hkeD5XWIifEeoVFRs93nc1V1\nVeKfmW4aihwTD+e1NPaAYRiUl1OX5r6+Ppw9S6fk3pAYxhGjDhnAUS8xIWpzsubmZs1UbyKo6d5T\njcvyBeGLD0DhXc+tMMBwyRDkkSbyGF3mbdClbhz3ebwV1MEqmLg62kCT8ufiXDOloE0n3XsMk6J9\nJywDPAyRFFsLFNX7fSni5MmTmoSBlJQULF++fNwOPMMwMBQ9CtZMpRBi20cQW/8RknP1F62953Dy\n3H6ytn7hF2DQ0bhELn6ZJkdc6t5FfmbCs2CY+z0wDAdR1aTij0+e9i0riobyHYoJtTzaBWcL1ZHr\nMm8Fa5jY1HIM3iK0ampq/GpWeoNaR33ah45aVhQ8fWwI9SpPiy/OCsMNWeNrOg06I+5e921EGKPI\n+vsH/oymzsk1A/4VEaFjcW+h+96bZOvFre/+hKR3KByP0UeegpKU7u0prmAGYR214N19f8CLH/8E\n7X1Nmt/HRiYBmV9DVeS9sHMu9s7BbgEvVPqXPf5ZQlnRWlw1m+6HOvqbMWJ3S014TocNi26d7lOb\ndmRlZWn208PDVuw5lw7pIvuYgT7/gQkn9b+ttOJgF933rkwx4L6i8aWrHMvh9tUPaWQHO0++h1Pn\nvJulBRMzVlB7RlPY2WhY4C6aOMblwqmG0WjEpk2boNerbPx37kRvb6/m8d4gCAK2bNmiMTWTzP0Q\nWFeho0CBWisfKtq3uqAWB3gci6fNhSWJ2q46z/PYuHHjuNro8vJyQjlWQ5REvLbzf9E/TCdN6xfd\nhjlZbq2HelO4oc39wezXuY3kBMYK64gVo6OURu8vvNG94+Pjvf4bbHYrTp07SNZiIuiGb3tWFCqS\nXe+PcOv9gEG7oUpKStI4FR4+fFijC/UGf2jfiYmJGk1xdbU2YmI8nO5XG5KFiOaZkALnRteF31rK\nw5FJp+Bc/DLocu+d8HnMZjOJznE6nUFz5tfQvfO1dG81e2M6UKyifTd31WHINuDj0S4wukhwsVS+\ncalnUjc2NuLwYUpbNpvNWL9+PTGj8wWG08M470dgjFQWINS/CLFvZjKAFUXBJxVU75YUk4GFqogU\nwFUo6vPu9/1kuiiXtwDvuu7I+cWQo93XJcZhB3fq0KTOs21EgtXpbkyF8wzSw4PLVAEA4dyfAdl9\nzWH0sdBl3Rbw8+Tn55PG1sjISMDN7zGor3nqJuMY/lA9gr2dtGFxVZIeX5vrX0xNdEQc7lr3LfCc\n+/UkWXLdJ4e6xjnyCjxxQ1YYsiI4hIl2/N/9v0C8nV7/HV/5T8hFC3wcfQUzAUmWcKBqC55753s4\ndlbLytDxeqwvvRXf/PzP8PjKq1AQRZvWb58bxftNk9v7Xc64ZsmdKEif7/P3nrKhzzpKSkpQVFRE\n1nrs8ajoLoWi+Ccb+qBpFG+do5+jgigejy00g/WDMm/Um3DPukdhMtAi7t19f0RL98TDsqngkphQ\nD+iou3dxrA4ROu+nFh0djfXr15MOhyiK2LJly4RuwrIsY8eOHZp85tLSUixZeBVZa7NSam5zczNE\nMfhaP3Vk1hlpNgTOXaglm1hk+Ng0jWkXvE3jUlJSkJbmO99NURR8cPAlNHXRzvvCvBW4uvg6siaW\nrSY/l/ZUIW7U9R5aDO5pk8yIEGGf9JQ6EP300frdED02fdHh8bh30/cQEUanC28WxqG+MA/isg0+\nX3fJkiUaZ2p/pARqFsXhbkEzifU1qfH3s+SUFVQOTE9BDQDCjXfDVhwBWzH9TLERuTDM+S+vJnBq\nMAwTMto3V0sNydqSc0gDR6fTIT19+qcesZGJSItzU7oUTJb2vfeSoD97Q09PD3bupJRlg8GATZs2\nwWg0+jhKC0YfA+O8JwHOs8Elw3HmmRkxZqtqPoLmburAf+2SO302IzlzAbj4ZdpfMDyM854AG+Yh\nTWJZiGUq2vck3b410+lo3q8NRiCQLDWQunaRNd2sr4Dh/P/7jsFgMCAvL4+sTUbyAmiveZUDIkTV\n1+ST86N49SzVaeeaefxwkRlcAO9TRkIubllBmyY2hxV/2/4skaldgW/wLIMHZ4fhpxW/RqGFMoiE\n6+6EuPLaGTqzK/CGxs4aPP/+j/BxxSuwO7VeB8XZ5fjWzT/Hqnk3gud0MPIMni6PQryRXiN/dXoY\nR3qmzwTqUsCYXCQxWrvvMOrCiGzosw6GYbB8+XKkpKSQ9UZrFqoscyaUDR3tEfCr05TBGW9k8XR5\nFMJ4/6/hsZGJuGvtI+A8EmhE2YlXdjyHQat/w9fJYEYKakkW0dHnvsiqC2p1zq8aaWlpWLaMbmhG\nRkawZcuWcQuVgwcPEuc5wDXNKi0txbxZV8God5tpWMRO8HqPfEqnM+i0b0WRLmio3agwUm1qWYJh\nXHpEXFycVwOmoaGhcSfFn1b+E8fqqYY8O6kQn7vqXs3rKUlpkLLdpnAsFKxrc01Zhrh0OBn3xliY\ngo5anUHdHR7rVT8tyzIqanaQtbKitYiJTMC/JS2HTnLTCiWWwV8yOfR70VqPITIyEsXFxWTt1KlT\nEzZoSmJ1MHj0OnrsMpqGtVr73NxcMrF1OBx+Mx7qBkVirBNvZJFqCv5UagySowHDpZSWydoUhMV9\nGQzvfwxGKApqpr8bbI/bNE7heJxV3buzs7P9mpSGAuop9enGiSeRfPxVAOO+6CujbRrWyqWAseur\np5cEwzBYt24doqOjA34+NiIHhrnfA7kFSTaX87eXfOdQQZSc2HL0TbJWkD4fualzfRzhMuySR5o1\n61zsYnBRczTrWtr3AcAR+CSnRtVYmx1kureiKBDOvkjW2Ihc8CnrJv2c6mZiR0fHpBqu6eEcYgzu\nz4pdUtBid3/PT/UJ+O+TdCMWY2Dxs7IomPjAtzklOeVYu+BmstZr6cAbu38DSQ5tjOZnBSt3v4RV\nHbSpeDCjDLYv/PsMndEVqDE00o83d7+AP33yDLoHtfvbhOhU3Lvpe7h99UOaKWu8kcPTZVHwtHOR\nFeDHRyw4b700jCanC0Z9GNYv1Ma+OUQHOmcgD3kmwbIs1q2Yj0gdlQCc7JuN5nbfcsfzVhFPHLEQ\nvyAjBzxdFjUpz6CspALctIwyKkfsQ/jbtmfhcIaGSTEjBXX3QBuckmsnLIOFRUcdvNVUWm+YM2eO\npgjq7e3Frl27vE54vGWjJSQkYNWqVS4aH2/AonyPaREDCLyFPD7YtG/F1k4ySxm7goNx2ris8TA6\nOuqVRjcyMuIzWqz6/DFsOUI3kTGRCbhjzTd9ZuSpN4XrL9C+FbAY1LkpHJN2+rbbwHS5L+gKXBpq\nbwV1besJDI64u0w8p8Oi/FWA4EDuB+/gzmr6+jbRPuF0YcGCBWTKJooijhwZf8Jo4BgsjJuY9s3z\nPAoLadOosrLSr0nkKRW1sSRWFzKnSNnWDvvpnwKMR0EtKojeIcD49utAAJNT9d8tGNFZ6um0mFOE\nxvP0ZjUTdO8xzM2iWe/nu+thGRm/eGB0EeBi/x975x0eV3mm/d8pU6RR75LViyX3gm3hhnE3mBJK\nSCi76dlsGiTZJCRkE0jbZDdfgGWTTdjsplESAqEbbINtDLgXyU2yZKv33mY09Zzvj7E0885RtWRj\nEu7r8h96T5njU973KfdzP2IrDd8V1pPa4/GwY8cOg0rzqlWrxmTBjAc1oRhzgdgDXXe24TzxELrv\n8mQ5Dpa/SVd/4N2UJZnNSz466v665sN1+ifog0a1fl/3MTSn8T3X8majxQW+B8ntRCmdPO27LESQ\nrDBmeh1qX/vbaL1iBtmc/xkk6eIDVHFxcYZsxcVkqSVJMmhHVDj819Vo9/Kdw71Cxtokw4+WRZMy\nheDjtQtuZl6OKJ5zvuk02w4+ccWySK4UqHu3YX7tz8LY2ehsvr74i7xU/0F/7/caXp+Xt0++yqPP\n38/J6gOG7RZTGNctvYsv3PQDclNnjXAGP2bGmHhgcTTBFsmAR+dbB3vpdf/9tJzTdd3QIcI/rvHU\nrv+ku38aO528DyA1PsmalHcxy+I6vnv37hGTK71ujW8d7BVKmgAeWBzNzCmsc4vyV3HN/BuFsbae\nBp55678vWs9jLLwnDnUw3btfzcIrBbJ3sWaJ/OiJCQoVFxcb1Hyrq6s5elRssN7Q0MC+faLgjM1m\nY9OmTQJdelnhOqSgqaHdJTrQdXV100r7Ds1EdXTHUxcZKKZXJFicOPbLdOzYsVHrfVtbW3n7bZFC\n2txZy7N7f4UepCxuNYVzz/qvYrOOrrYZSvte2FFO4qDfWQhmGFys0rfcUI0UdJ3dYVGotgihV/QQ\nDpaLfSzn51xNuDUC087nkDtaWdTu4LoqMcs1XnbBbDazZMkSYayiomLc2nxjHfXIxkJoT+qOjo4J\nOZmlIfXTl0qQTPf4+wLjFSOI0e94MHXqqGeOoZROXNQh1KHu6uqa8rcTKkhWlzdf0EIwm81TcvCm\nitjIRNITRIf+dM34dcFqcgjtu/XKUfvWdZ09e/YYvoORaqUuBmr6zahpYomJ1leGq/zhS34P7M5+\n9pSIYmhLCteSNEYfVfe5x/GNVuutuXGf/61xXJbxLr1WGDJNkvbt0XSD0Nas2OkT3tN9btznxJZG\nSsLVKHFTr3MNbaFVWVmJyzV5p2p+nDj3VTpU+j0a3z7YS19Ia5X7F0Uxe4oZfEmSuGXlp8hIFDU2\nDp3dZViDPkAAStlxLL/7f8JYuzWWr6z4JoOqld+dtdPv+ftxtq40VDae5L9efIAayleoAAAgAElE\nQVQdR5/B7TV+h4vyVnHvLT9hxZzNAmV2NKxOtfCZWaKWT6Pdx3cP9+LRrox17FLjTN1RQ9nQEByu\nfv745s8F4d+/ZQyVDUWZB1iVfAApqP+0z+czlOd6NJ3vHe6l0S7a5p+dZWN1qlhWeTFYv+hWZmeF\n2PYNpWw/8qcpnzsU74lD3ThG/fTSJMuE68JkWWbdunUGFejjx48Pq9AO9WgONs5UVWXz5s2Eh4v9\nEuOikilID1CuXVIfkho4zuPxGCjjU4E2INZPH3OLdO95caYx6Wrd3d0GgatQFfTKykpKS/1CTv2O\nHp548xFhEpUlmY+s/cKYRiT4Bat8uQGnUEZnfYM/stltKhx2zz2Sne6eyTtPcm1o/bQ/Ox2ajW3v\nbeZ8k8g0KJ61AamvG/NLTwyPbaztZaEUJ+x3vuk02w49Oeo1FBYWGt6lAwcOjGnYhzrUJ7o8DIYW\n9+F/LpmZYkuW8TI1Pl03qNmO1H9vqtA1L85TP0J3iJSvsMYkrLWBydDyp/+GCT7X8PBwIiICQkCa\npk1JAR5ADhEkqwwXn+97SfcewtwcUeVyImrfSsLVENSTUXc2o/VfWvGMieLIkSMGBkxmZqahh/vF\nQpIkzDM/jxwrOm6+1t14ap4e5ajpwZ7SF4V6QYspjHULPzTq/p6GVwxq5JJVbLvna92Nr++s4Vhv\nscjwUUoPgHPiBlZVn5dgHyTBKk9r6zxPw4vozpbAgKRgzvvU6AdMAtnZ2cJa6/V6DSrxE0FoHXWl\nQ+H7R/qoHRANsY8X2lg/Y/I13yPBpJq5a929BrrrtkNPUtFQOspRf7+QWhuwPvY9pCBmnGYy861V\n36At3H8P+9w6T1T8fTgXVxK6+9t5atej/GHnz+jsazFsT43L4jPXf4dbV3+GyPDJlfHcmR/Olgzx\nmyvt9PDwif4rJjh8qeD1edhxRGRjxEWK60J7TxPPvPXLv/lykdCyoZTwdpali3alw+Fgx44deDwe\ndF3n4RP9lITYuZszrNyZL/pnFwtZkrlt1WdJi88Wxved2c7hs1NrY2n4rbE2/u53v+OrX/0qDz74\n4PCY3W7n5z//OQ888AAPP/ywgQY4EYwlSDYRuncwzGbziKI4e/fupba2lu3bt+N2i7SDdevWGZSX\nh1BcFFQvJkG/Lk4800n71vrFcx1RxHYs492LgwcPCpNVZGQkN954o8GpPnz4MJXnKnhy1yP0OUSn\nZmvxPeSnidT50RCapR5S+3bL0TgUvxCPLmm4dbtB+G08hNZPt9tiR6R7h7bKykjMIy0+G/Pzv0MK\nNlBtkdz0oe+QkZhvOP5A2c4Rr0GWZYPsf3NzM3V1o9fAzLAppAX1SPVoUDKKAm1opqaqqmrM76e6\nz4s9yDmPNElCq67pgK7ruCt+idZdIowryetQrvkuelBAQ26ux7T7pQmfe1rrqAd6URprhv/0yjJV\nfSKF/72kew8hlPZd336OnoGxGRuSakOJEyOoVwLtu6KigpIS8b2Ii4tj7dq1Y3YPmCwkWcU69wGk\ncFHUxVP9B7yX6D609zYbdBiuXXATNmvUiPv7uo7hrvylMCZZErAu/hlyhKhh4a583GBEarmz0OID\nRpbkdqGWTJzxYaifnka6t+7uMQQv1BlbkW3T08tdlmUDQ2eiJS/ByIlSsQUJ0zg0mcMhAkjrZ1j4\n2MzpMcSGEBEWzT0bvoJZDdgYuq7zzFu/pLX70rTTfF/C3k/Yw99CsvcJw67PfpvFxWKy4K/VDprs\nf9vOxZUCj9fN7pIX+M8XvkVZ3THD9jCzjRuv/hifu+FBMpPGVmAeDZIk8bUFkQYG3bY6J38+/7et\n/D1S2dBd675saKVZ2XiS1w9f2iDxe42RyobmFN/GvHmibzNUnvvncw621Ykdl+bHmfja/MhpLW00\nmyzcvf4+osLFhNkrB/44bb8B4zjUK1as4L777hPGXnvtNWbPns2PfvQjioqKeO211yb1gy6Pk7Ye\nf/2ZW4pgQA0YURKwZBxBspEQGRnJpk2bhOyUpmns3LmTvj5xci8uLiYrK2vUc+XPmEdcZEBZegCR\nljudtO/gDLVHVzgWITq2YznUjY2Nhmx5cXHxsPJ3sAiWjs5zbz8utCoDuHrWRpYVTVxwxrtUVKtd\n0HmWZIefCirQvuXJ075HUvgOdchcnkGOn3tHGCsu2oDcUI26+2Vh3H3zP2KKjueudV8eMbtQ2TCy\nindGRoZBJfrAgQMj1qKDfyEJVfseqY4aID09XQh2aJrG2bPGbNYQTozQLmu6VX29DS/ibdomjMnR\ns7EU3YeelY/3GpGOa37hd2CfWB/t6ayjVirE+um6gsW4XIH7bLFY3lO69xBiIuINQZzTE+lJbVD7\nfm9p383Nzbz9ttg6JSwsjE2bNhnaFk4HJFMk1vnfB1Us8XCd+Rkml1EAbKrYceTPaHrgm46NSKS4\naMOI+2r2epynfgR6UIpYsWKZ/xCyNdHQRkvrPY2v/V3xJJJkCEiqh/ZM+HrLDP2np4/u7a5+EnxB\ngT01AnPOPdN2foCioiIhCNPX10djo7EOfSwoksS8MUpeZsWqfGNh1CXRmEiJzeCONf8snNvlcfLE\nmw8zMNg3xpF/J/B6sf7X95CbRZvEddun8C27ljtyw0m0ioHnx8v+/voWX07ouk5Z3TEee+Hb7Cp5\nHq9PtCckJJbOXMu9t/6UZUXrphwkNckSDy2JFhIMAL8+M8C7LX+bdfMO5wB7So1lQ8mx6dy66jPM\nSBCDrQfKdnIwJCn0twJdG6lsqBglbiHLli0zMDRramo4cEgsn0oLl/n+0mjMyvTP4VHhsdy9/j5M\nasB+CbYBpgNjrsozZ8401M6Vlpby9a9/HfA73D/72c+47bbbRj2HruvCItTcWTNsKHaHiJEVxqjE\nWC7uo05OTuaaa64R2rqEGqSFhYWGSEkoZEmmuGg9r12IJLmlfjTJg6z7F3Kv10tdXd2EsmFnuj08\nWWmn06mxKd3KTdlhqLL/XmiuLnR3IItb5snHEaSiHGeRyYsa+fFomsaBA6KQRHJyMtnZ2YC/tdj6\n9et57bXX0HWdXrkOuyRmBwtmzGPL0jvH/T8EQ09IwZc3G+V8IAK1vvEATxXcQJepkHSnv4fuSMJk\nmr0Wd/VTJHSfx62uw5R5G5JywRH1eZHrRfp7e0Qcq0IcstLz+wR1Pps1ijnZSzE/8h2kIGNXS56B\nZ72fujmUXfifV3+I2+uPhOm6zp/f+gWfuf5fSY41tjooLi6msbFx+P3p6+ujrKzMIII3hGVJZl4I\n6r84mkMtSRKzZ88Wnl1ZWRlz5swZ0Uk5EUKDmRc3vY6Mt+Mg7kpR1VeyJmOd912kC63b3Ld+EvXA\nm0gu/72TBvowv/wE7o/+87jnD215NmKGur8H80tPoJQfJz0xAynxS+gxRvaIclYMgFSk5EHQXJid\nnT2tWdOpYG72MurbAwGiUzWHWDl37DYxSkIxyGbQ/O+O7mxF6zmJEjt/zOMuBfr6+ti5c6cg2qEo\nChs3bhxR02C6IIenYZ33rzhLvg36BQdScxPX8Ti+/hyUyLyxTzBBVDWfobz+uDC2ackdwkI7BN3d\ne0FbIJgNIWGZ/c3h61HiFqPEF+PrDAiNuc/9L0rCMiQ5cE7vsrWCUJNy4gAMOiBs7IyqTze2zpuu\nDLVmr8Pb9KowZs6+E8k0cqb+YhEeHk5OTg7nzwfm+dOnT0+6xd2COBMHWo3za3KYzA+XRmO5BIbY\nEAozFrJlyZ28dvip4bGegQ6e3v0oH9/0zRHfn0uNxsZGTpw4gcfjobCwkJkzZ14y0cpRoetYnngU\n9YyY/fSs2IjnRn9gxqpKfGZWBD8+Hgg+7GlycbLTzbxpKmNq7KjmrRMvU9d6DrVk+gJO71douo9+\nx8gdEzIS89ha/A8Gh2+qiLHI/FtxDJ9/u3uYXacDPzjax2OrYiiIvnQtP0dDn72LPaUvUV5Xglwy\nvTbCoMs+bFf6IVFWd4yz9X5ml6ZpSJKMHmSfvnLgD+wqeR6TcvnniyEoskpu6iyuXXAz0ba48Q+Y\nALwNL41QNuRX9JdlmbVr1/Lyyy8LpX9zHJX0qhFUh2ViUyX+rTjmon3AiSAtPpvbV/8TT+9+7JKc\nf9KzTl9f33CWLSoqypABDoXz2Ncwz/zCsPExnXTvUOTn59PT08Px48cN21JTU1m5cuWEFptF+at5\n4/hzeLxukGBAaiNKD2S/qqqqxnSou10a/1M2IFAZynsGeLl2kHvnRbIwwWwQJDvumC88jaVJ5lGv\ntaKiwlCPunz5cmH/GTNmsGrVKl5/5zn6FDFqnBidxh1rPo8iT54+7C1eKzjUGxv281TBDfSpOfgw\no+AWWmfpXjvu6qfwNrwAug8zF6iczdsxF/wTSsJy5NZGJE/ASLKbrMhxiYSFBQIMuq5zIEQIZsnM\na7GcKUE9ISrmuj7yOVADE/dQduHJXY8MO8lD2YXP3fA9A80zLi6OwsJCyssDPbqPHTtGQUGBkPkf\nwsIEE6rEsMpso91Ho93LDJvx85o5cyZHjhwZZjnY7XaeeeYZli1bRkFBwfAz1HWd0s5LJ0imDVTj\nOv0TIDjrFo51/kNI5kD9lB4Tj/uGu7E897/DY6adf8Wz9ib05LEzwgkJCUiSNHzPe3t7cblc/nuo\n+VB3v4Llud8gXch4J9adRz99CPeHPoZn420QJBgY7FD7JJkqzMK1Xwl07yHMzV4qGN0NHVV097cT\nG2ksYRiCpIajxC8VMpvOkgcwZd6GKfujF9UH+GLgdrvZvn27QTRqzZo1JCcnj3LU9EGJnY+58Eu4\nyx8OjGl9OA9/CXXGVsy5/4hkuninXtO04WDpEDKT8g1UffBH3J0nf4A+2CyMm/I+iZq4XBgz53+a\nwa7Dw1ls3dmMt+FlTJmBYLOWU4iWmIrc7j+f5PGgluzDu3zkzDj4g7KPnuynPqhOWAJmxkyPw+A+\n9xsh8y5ZU1HTbxzjiIvHnDlzBIe6rq5OsCcmAr+GhFjqEaZI/HhZDPHTWFM+GpbP3kRHbzOHKwKB\n+7q2c7y477fctvqzl82ZHRgY4MCBA1RXB1hnra2tlJeXs2LFihHLpS4VTDufwxTCEPPlz8X1iX+B\noPuxId3Cc9UqZ4PYFr88PcAvVsdOiXlld/bzxrFnOVrxVkBs9W8zITpl2KxRbLrqDhbmr0SWLo3j\nkhWp8tCSaL5xsIchTTKnT+fbB3v51TWxl+U7Bb+S+f4z29lT+uKI4muXBjr9jvHLHR3OibH8LiW6\n+ls5UbWfNQtuZsXszaN2+JkIdHcP7uqnhLHQsqGh8ty/Pv8CLmcgAVXcV4JDtfEvV+eSFXnpA2Gz\ns5awcfGH2XnsL9N+7ild/UQWD633DIOHv4gjYhV9UVspr/ZTN3Ukg0Od6mqjsrJ5pNNMGKH10sGY\nTP1zdvwcKlv9jrlD6iCKgPNQW1tLWVmZoBAO4NNhT7eZF9utDGrGe1Pd7+O+fT0si3LzufDDBJun\nR3Uxc57p66KystVwDq/Xy6FDIoU0KSmJnp4eenrEaGSnvYkuVaRSy7qJJG0OdTUNF7X4mxIyCc7T\nzuuqJNXeRrMtiR5THvGeMjw4aOtopv74k0T3voiiGYMuurMV18nv47TOQmoqIFgjst0WizUsTBCu\naemtob0n0INYQiJBzYTfPyKctz9zJucikyFE9EbGxlXZGzhSHaif7hno4H9f/Smb5t5jULOMi4tD\nUZRhqrfL5WLXrl3k54t03iHkhdk46wic49VTjayNG/ldTExMpLk58J4PDg7y1ltvcfz4cQoKCoiM\njKTVLdPtCjgOZkmH9hoqp6EnvezrI6H1/6H6ApOajkRX7D/iavYA4r2T8hcxOzIWc79/oZC8Hty/\n/Tk1t31u3N8KDw8XFB1LSkrIsHeR/vpTWFuNAn+S04HlT/+N9sYLNGy+k4GcWchuJ/NrAgqadTEp\nuIJ6jauqit1uvyiho0uFpKgM2voC/789R7YxN33FmMdYtZnEEUQV1j14av/EYMN2+mJuwRm2UDBQ\npxuapnHy5EnDPJKdnY2maZfx/uYSFbmeiP5gapyGt/FlXM276Y++AYdtOVyEQXiutdTQF3ROyirO\nnQsRgdN1YrqeJNxxShi2266m17XAML8ARNtWYhsI0OSd55+gzpGLpgTE+dIKFpDcHvj2nbtepjrB\nWILU55X4a5uVd3uNQeYZFh/NNecN45OF2VlOQqe4lnTarsd5fvop9uAPEkZERDAwEKD67tu3j7y8\niTMPZB3C5SgcF9ZXCZ1PpdrR2nqonHpnvgmhMP5q6qOraemtGR4rrdqH5DUzP2PVJf1tTdOor6+n\ntrZ2xLYvbW1tvPDCC6SmppKTk3NJyjOCEXXuJLl//oUw5oqOp+LGT+CtNWqP3BSt8B89ge+hrMfL\nU0drKY4euVPJWNB0jcqW4xyv2x2SJfwAoZCQKEpdyoLMazBj5fy5qc8fYyEauDPZzJMtgaRIu1Pj\na3tb+XqWHfMlJpM1dZ/nUNV2+pxTE0L9W4fb62Ln0Wc4ePoNluZuZkbsxbHAorufwRZUNqRJYTRo\ny9FC1km3BodiFjG35QDKhYSIgs763oNYWjxU9oZxOZBinUle0nzqOsvH33kSmLRDHRUVRW9vL9HR\n0fT09EwouiyhYxt4G5urlF57AgADygy8csCNsqkSG+flDFOiLwYdHR288847I25rbm4mNzfXIAw1\nGiLib6XyJb9D7Zb68eJExZ8l0jQNs9ksGAKlnW4ePdFPVf/4nPxDfWbWudtIvnD3O7UYzpuyh7dL\nwA3zM4keYdY5cuSIEDRQFIX169cLisrgV3R87uij6MEZSF0i0TeL/q5Bent7WbrUmJWZCHwFc1Eq\nA4bm+sYDPDHzJrpNRcR7ykCC2TF7iesev47a6iwjolo0WtttseTm5lJQEBDIOLJb7PE3O2sJS7pa\nsbaLdXjKJ79GQY5YSjCE/Px8JJNXyC609zdwqnXviNkFj8fD4cOBGo+mpiZWrFhBdHS04dzXYuds\nWcBxrCGagoKRlTIzMzN5+eWXDcJtfX19HD16lKKiIjpTFwABI2FevJlZMy9OMCQYus+N8/g30Xzi\nQmMp+ByZGTePepx25z/D4z8e/ju27CgWfRBt5tiU5KamJioq/M5wuHuQubv/QnLZ2P29AcI6mil4\n8ud4l67Bu3iVQOk/myEKHOXn5xv6fL/X6PSu4dWDAdX5loEqbin42JjH6FourpOnDG2ZVF83cZ3/\nhxy7EMvMzyPbMkc5w9Tw7rvvGt7JvLw81q5de9lppLr+VdxlMt4WUUBQ0QaI6f4Tcd6jfuZT9MRb\nd7k9Lp4/9l/C2Lycq1mxeK1x39q/4HGIzBc5Zh6JCx8gSR6ZKaK7v4DjwLFherisD5Iu78dS8PnA\nOUy3wr7AXBZddYaCGakQ7p+/vZrOSzWD/G+lXRAkHIJVgS8viqMgKdWwbTLQdR/Owz8PXh2Qo+eQ\nPv/2S/qsdV1n796A0FxbWxsbNmwwBKfHwn1hTn5+oh9N0/jKgiiuy7z0zIlQZGZ/g1+/+n1BLbmk\nbg+FuXOZm31x6+p4qKurY//+/eOyAsFv73R1dbFkyRJD/fp0Qa6vIuyF3wjtLnVrOL5v/Iyc9JGp\nxAXAQXcve5sDGcOXuyP48KL4SdH1a1sreOXgE4bg2AcwIjd1Ntctu4uU2OkRGZwoCgDnyX6eqw4E\n7mucKn/pT+K7V0VNux4M+O3e1w4/TVnd0fF3/gDD6HN28eaZp5mVuZjrlt41JpsuFJq9nsEGUTPE\nmncPeZmLxP10nR8c7eOU7qI/ehGregPPSPJ5OHv2LDfffPMlDwIOITfvy+MKxk4Wk3aoFyxYwL59\n+7juuuvYv38/CxdOvE+l3dlPj9Mfgeg2iYbQkkTzlJxpu93Ojh07xhQM27dvH1FRUROq20qNyyQr\neSa1rRUggUPuIEoLHFdVVUVeXh7tgz5+dWaANxtHppRkRSjkRavsCtmeJQeyAMd8Ym1uUaw6ojM9\nMDDAiRNiLem8efMMzrTTPcgTbz6CPYRWEu8rwKL7AyAlJSVER0czc+bIzudY8C5bKzjUGxv2X3Co\n/e2zJMApGZUdJUsidjWPcMchgWaodolBiPaIGGYG1d/22jspD1GnLM5dhflnDwljnpWb0XJGd6wk\nSWLr1ffQ2d9KVXOAtl5atY/EmDTWhDSAnzt3LmVlZcMZFU3TOHToEBs3bjSce1mShV8HOdTHOjy4\nffqI4goWi4UPfehDnDhxgpKSEoPgWXl5OQdbI8AcYEUsmIY6M13XcZU/jNYntlpTZ9yAmn7TmMd6\nl2/At/M5lOqAiJrl6f9m8F9/AWMYa0lJSZwrL2dB81mW153A4jN+n7rFinfFRqR9b6C6xPdGPfwW\nyrFAkMwryZyPEg3oK4nuPYTZWUvYdvDJYQpiU2cNXX2txEWNbvxLsoJl/vfxte7Cfe43gsYCgNZd\nwuChf0ZN/xDmnLuQVNsoZ5o8Tp8+bWjjlpSUxDXXXHP5azIBSVKwzP4aStIq7GceQ/WK1AytvxLn\n0ftQUzdhzvukUKYwGt45tY3+wUD2XZVNbLrqw4b9vO378JwXxVWkMH99tzSKMw0gmWMwZ9/pp1EP\nnavxFUwzbhymvmlZBWhJachtfraN5PWgHt+Hd+WmcYOy16ZZ+OfZESSHT50y6W3eiTYgilSaCy49\nZTkvL4+DBw8OlxS4XC7Onz8/qYDYpgwra9IsVJ0/x6z3wJkGCLPY+IcNX+HXr36fQVdg3v/r248T\nExFv6Ec/FfT19bF///5Ru00kJCRgs9morRWZBS6Xi3fffXeYBp6SkjJt1yT1dmF95FtCZw1dknF+\n/ntoozjTQ/jsLBv7WlzDJVKtgxrPVjm4u2D8+azf0cOOo89Qcv7dEbfHR6WwYMYaFs2ZnrZ+73eY\nTVbCLRHj73iJ8M9zIqi3+wRdmT1NLjIj7HyyaPquy+N1886pbew9+YpBfA38Subz0lezerHRdpss\nNF3jiTcfFhiTqXFZ3Ln2S2POn7qus+PoM4ZWmnOylrB5yUcv6zp7tqGUN489x6BbLJ8pqztGZeNJ\nVs/byuq5WyekCzHRsqHfn7Wzu8k/79da04nyDjDfHrAne3p6eOONN9iyZctl0cNRFRMJ0dM3JwIo\n999//4OjbXz88cd58cUX6erqYu/evYSHh7N69Wpef/11XnnlFRwOBx/96EcxmUY3Mrwtb4LX75DU\nucyccfgd6pqw63ApASPojrxwZl6k0IrX6+W1116jt7dXGF+0aBEdHR0CNaquro7s7GxDm62RYFIt\nnK71Z4s0vETogZvf399PmTWHB4/Zqew1OgnhF0Q47l8UxdoZVq5KMFHZ66XLpWHBxafMTzMUP3jW\ncwO1Qc761kwrixKML/K7774riH2FhYWxfv16Qd3cp/n40+7HqG8XqRbLi7Yg9UUJAYf6+npSU1Mn\nLTSkxyVh2v4Xhj7/JGc3r2StoduSSJLrOCbdgUXSmWW7EESQTJiyP4Jl7rdocmaRVHgTmr0W3enn\n6EUc8SAH3UJtqZv4WatRrX6xhHdObaOmNfDhJcXM4IZ6B6aTgYlJN1tw3vsDCBt7UZYlmaKMRZyp\nO8qgK0A9rGo+Q1JMOkkxASdWlmXCwsKEPrw9PT2kpaUZ7lmsReKVWieDPr+V4NVhUYKZVNvIxq8s\ny6SmppKfn8/AwICBZnvUNht3kKDRPxbaSJ2iIe2pecrQR1eOXYxl9teRxqunlyS01CxMbwdU/eXu\nDrTUDLSM0Y3HsHOnWLT9j8xur0HVjRRFz9Xrcd73Y7zLN1CZMYs4s4pSG0I5D8qAtEbEUZoSyNRb\nrVZWrFjxnjh9Y8FiCqOquYwee8ARjAyLISt57ACWJEnIEbmoadehaz60/gogOFOpo/WV4W3eiWSO\nRbLlTPn/Xl9fz549e4Qxm83G1q1bR9QMuJyQw9OpdxURl5CK1lsGIaqc2sB5PE2vIclW5MgCpFFo\n4H32Lp55678FVc+Vc69jTkg20dd/DlfpdwOiaABqBGGLfoJsFUX2RrzeyHy8LbuH1zzQ0V1tqMkX\nsuCShNTXjVIRCIy63R5+YFnKL0/b6XYbs9JZEQrfvSqauwpsRJimbmjo3kFcJ78PvgADRklei3kM\nhsp0QZZlnE4nra2BcqaBgQGKioom9R6rskRPV9eo7S8vB8ItEaQn5FJatX84cKbpPirqS5mbU4zV\nPDX6otfr5dixY+zevduwPoA/MLtixQpWrlxJfn4+SUlJtLe3G/QPBgcHqaiooL+/n6SkpDHttQnB\n7SLs5/ejNIgBGffdX8S7cnyHJcosM+DRON0d+MbKur1cnxlGmDryO+DTvBw4s4M/7XnM0K0EwKxa\nWL/oNm5b/Vk0p8yM1Ays5vC/+3/vhVBeMGRJYnmymX2tLnqC5rbSTg8zbMqowrsTha7rlNcf58k3\nH6Gs7ihaiI0hIbFk5rXcte5eLFrUtLwXZXXHOFr5lvA7d639MslxY587zGKjKGMxta0Vgl3Q3ttE\nRHgMhRkLL9t7kZ6Qy+KCa3C6HTR3ioE4TdeoaSmntGo/sRGJJESljDo3+7qO4an+gzBmKboPJaSV\n5M4GJ4+dElX9w+OSWB3jprcnkDjo7+/H5XIZFMHfLxjTob7qqqvYtGkTN9xwAxs3biQzMxOz2czy\n5ctZv349y5cvH3dyVtOuB8WC1lvG6QET9S4zHimM8+E3C/WA980Nx2aevMOg6zq7d++mqalJGJ87\ndy7FxcXExsYKtdM+n4+Ghgby8/PHpZklRKdwtGIvbq8TH25sWhLyhaS+ruvs6QmjQzFS3jelW/nR\nsmiWJlmGaS3J4Qpbs6zEW2QGes6xQd3jvx5d4jHXJ/EQmPg+UWgjJcR5am9vZ9++fcLY8uXLDUJB\nrx96mtIqcb85WUu5edUnSElJ4dy5c8MiUbquU1tbS05OzuQM57Bw1DPHkcosfWoAACAASURBVDsD\nRlGHNYbShCLCfO1E+urx6BJLoxwo8cuwzn8INWk1kqzS1dVFQmoeaspGP3W15TQRxwIfmq6A72ov\nWut2dE8/ui2P5979rV8g7gLWF2wg70+/R9ICxrHnhrvxLZ5Y/ZpJNVMwYx6lVfuFaGZFfQn5M+YJ\nvepiY2Opr68X+kV3dXUZDEBJkqjp93KuL2AkxFpklowjtGexWMjLyxOMIYds5URkgNYs6xpX9ZaQ\nmnzxxpC3dS/uCrHWTQrPIGzhj5DUiQle6QnJyA1VyE2BCViuKsez7iYIEbSQOtuw/PZnRL/4O8I9\nRvaGLz0H5xcexHvdR4aDIB39dqI33IR3/jLk2krkHiMdJ9I9SHJ/Fy2R8bhMFgoKCsZsg/dewuNz\nU9FQOvy3wzXAssJ1EzpWks2o8VehJq1CczSI6pkAPie+9n34ukuQI/ORLRen1Nnd3c1rr70msCRM\nJhPXX3/9iKUN7wW6unpIyluDmrIe3dmO7gjJ1GkefF1H8LbvQ7ZlIYcZs5avHnqCxs6AIW6zRvKR\na7+IqgS+J83Viev4/eANYvZIMtb5D6JETyyDKkkKkiUOX1ugllp3NKJEz0UO8wdk9YgosZ97RzM/\nSdyAO0T1NTgomx4xfWItnpqnxbIC2Yx1/vemlfEwFqKiojh9+vTw34ODg6SnpxuYVuOh6z12qAFi\nIxOJCo8RVOPdXidVLWUsyF1xUUI/uq5TU1PDjh07qKurM3QrGeoWsXHjRlJSAsZudHQ0RUVFmEwm\nWltbDTXWXV1dlJeXoygKiYmJFxeI03Usv/mJQQjUs+5m3Ld+YsIaD0UxJl6tHcR14RK9Oji8GitS\njHZIVfMZntz1CKVV+/FpxuTFvJyruWf9fcxMX4Asy1fEe/EBAjArEsVJFt5sdOIMioceaHWxOMFM\nUtjFJQo6+1p49u3HeevESzjdDsP29IQ87lr3ZZYWrsWsWqblvXB7XDy161GhZn9eTjEr5mye0PGy\nfCGhU3tUyA5XNZ8mJTaDxJi0KV3fZGBWLRRlLGJm+gJauurpCxFTc7odnKw+SEPHeWYk5BJuFedn\nXffhOvVDdHcg2CdHz8Gc/2lhbjnd5eFfD/cOC9QBRJslHlkRx9z8LJqamgSdnfb2dqxWq6FLzPsB\nYzrU0wFJVlBi5qKmrOedysN0uzx0mWbRYQlQxbPkem61/2hUY2gsHDlyRFBjBn8v4TVr1iBJEjEx\nMZhMJqHnpcvloq2tjfz8/DGpBbIk4/a6qG4pBwkUzMOUafDXhtdaA5nlvCiVh5ZEcXteOOGq8byy\nJFEUa2K5qRS5259drdByecW7SdivpMNFqk0lw6YMqyTv2rVLEHOJi4tj1apVwot7qHwXb5b8VTjX\njPgc7lp/L6piIiIigqioKEEZ1Ofz0djYSEFBgZDpHheObtSTgRqIKPcAz+duREInyV2CS5fRvFcx\na913BVXeoUnNn4nLxtyXjOlAoKbZGy8xWKjiz8SVc6JyN6eCGAAWUxh3Vjuw1AZEhLToOJyf/66g\n7D0eRssunK0vEbILQ+/QUB0wgMPhICoqyjA5ezSdt4JqwxxejZtzxm6JM4RgY+hIl06dJVAjGe/p\nIqHp+EUbQ76+s7hOPiRm90xRhC36KbJ1cguML7sA066XhmuapUE7usWKVnihltrjxrTtaay/eAgl\npLc4gEsx0bb5oyhf/B56krh4DL0belwi3jXXo8UloZwtRfKKFK5YZz/zWipRdI0Z124mMiaWKxHR\n4XHsO7N9+O+BwV7m5yw3LExjQTLHoKasR47IRustF/sFA7qrHW/T6+juHpToWYFWdBPA4OAgr776\nKoODIs1+w4YNpKZOrUZ3OjE8Z6g21ORrUKLn4OurBI/ISMLTg7dlJ5qjETl6FpLq//aaOmt45cAf\nhV2vW3oXWckBpoPuc+IqeQDd0SDsZy78Imqy2CN8PEjhmfi6j6O7Am3itIFq1LQt/hYqUbF4330T\nk8NfC6voOjWRM6iIyR7ef6Sg7HRAc7bjOv1TYS4wZX4YNWnltP3GeLBYLHR0dAiMMq/XS07O5Fr4\nXCmOU1p8Nm6PS2iVNzDYS3tvE3Oyl01qru7p6WH37t2UlpaOKLCanJzMxo0bKSoqGjEhIMsyKSkp\nzJw5E4fDYdBE0DSNhoYGqquriYmJmZTCOoDppT9i3vmcMOadswTXPz0Ak7AfLIqEWZEEKvC5Xi+r\nUy3EXmib02vv5IV9/8eOo8+MqIqcFJPOR9Z8nlVzr8MSxAa4Ut6LDxBApFlmTqyJNxqdw46VpsO+\nFhdr0qxEToJ54/a42FXyPM++/TgdfUYRY5s1kq3F/8DWq+8RWkJNx3vx1smXOdtQMvy3Kpu4a92X\nCbNMPBhpUs3kz5hLadU+IaFztqGEghnziQwfv3xpOhEVHsvigtXERiRQ335OSF4BdPW3caRiN26v\ni/TEvOEgobd5J96m14R9LfO+g2xNGP672eHja/u6sQfFwUwy/LQ4hrxoE7Isk5mZSXV1tTDfNTQ0\nkJiYeMUE9SeKS+5QB34pnNdKt+H1eWi0XoNdDTii69V3WaS9E2QMFQ0bQ2OhsrLS0I85Li6OLVu2\nCItNUlISAwNib+SBgQHsdjtZWVljLngJUSnsP7MTHR2f5CFSCxiaET4H5eG52Mwqn58Twb8sjCQ1\nfPyItNS64wKVE3Z413DSJ4osDXhhV6OLsh4vRTEqXU11htrpa6+9VnjZzjed5tm9vwq0jcD/oXxy\ny/1CDU1cnH+CCVaZdjqddHR0kJeXN+7ir2s+vI2v4Gx7ivDTg8O070RnD9syV9NunUG6cy8SGs7B\nZBbMXiI8i9BJTT36jtC/0pWu4M4ILMyvd1jp9wX+Lk5ZyKJt24Rrct3zJbS8iYnNBWO07EJ1SzkL\nclegXJg4IiIi6O7uFmh37e3tzJo1SwjIxFtl/nzOMfwEut06WzOt2Ca4WAwZQ0c8cVT2B7IL2c4G\nUt0dw8ZQTU0NMTExE6Lqa862C1m3oFoZScU6//soUSMrlo+JiCgkxwDKuUCGSakqw3vN9ShnSwl7\n5NuYDr+FNEKt9KmkXF6evQZ97hJmZBgFUoR3Q5LRsmeCy4ka0oMaQEYnva+N2JP70eKS0NOyLqkC\n9sXAYrJS3VJOz0CA3hURFk12yuQE1CRJQrZloc643k+97z2L0O4MHa2/Ak/zDiRTBHLE+N+xz+fj\n9ddfN7TfKy4uvuIE3kLnDDksFTXtOiTVhq+3HHQx4KLba/wLvaQgRRbw7NuP0x30DJJiZnDTik8M\nt43RdQ3X6Z+idZcI51EzbsGcfeekr3foeXmbA+JjursbyZpCu5LNv5f209LSweKOgJaBSfPyeubq\ncYOyU4W74pdo/YGSCskci2Xut8esDb8UsFgsgrJ6b2/vcEBxoriSHKfc1Nm0dNXRESRS1tHbjM/n\nJS9tzrjHu91ujhw5wp49e0YUHQsLC2PVqlUsX74cm218491sNpOTk0NaWhrt7e04naIKttPppLKy\nku7ubpKSkiYkBKQe3I31D2JXDS01k8F/+XewTp7ePjNaZXejiz5PoF9xk93HujSFt09t489v/YKW\nLmMnCIspjM1LPsKHVn6KuChjFutKei8+QADJ4QopYQpvtwSSDk4fHGt3szHdOqLeTDB0XedUzSGe\nfPMRKhpLhd7O4J93r561kTvXfonMpALDGjjV96LP3sUze/8bTRPLhuZmT75e32aNZEZ8DieCEzqa\nj7MNJczLuRqL6fKoXQ9BkiRS47O4qmANHp+bps4awZfQdZ26tkpKzr9LVHgsiRFxuE+NXTZk92h8\nbX8PzYPic7p/YZTARDGZTKSlpXHu3DmBVVNbW0tWVpbQPvdKx2VzqLv723j71DZ04LztFnxSgGZ6\nj/k5UmR/NN9vDG0DSUGOmokkjRz1bGlp4Y033hDoUGFhYWzdupXwcNEZlySJjIwMWlpahCxvZ2cn\nqqqOKtah6zpHumSONdZh8bag4SFcS0TBv+jL6OSlxPHQmmwWJpgnnEnw1DyN7vIbeL9z3UGHPjJd\ns9Hu49VqO9bKd5CCokYZGRksXrx4+O/2niZ+v+NneHyBfUyqmY9v+uaIRfepqan09vYK0euJ1C74\nuk/iPPkgvpad6IoHc4uGMhC4/x3WGI4nziXaU0WY1oWqW8mfMUeIgodOaqadz6M01gz/fSKxgIhc\nM5LPQbNL5Z0+0Wm82VlFTIMd6cKc5svMw/2xr1xUCx0YK7vQKGQXEhISKCsrG37fPB4PiqIImTyL\nInGozUW7M6g/cpRKQfTkjNX/OesQ6o3m2CuI8gUc4iFjqKenZ0xjSPcO4ir5tqGPrnnWfaiJY7dw\nGgu+3CJMe15FukDllrxe1EN7MO96cbindDAcqVk8m3s1J9IK8SgmFEUZUQxvpAXPvO1PyG1+dkm3\nNZKwkOipNGjHdGgPcuUpfDlFEHl5o7vjwevzCBFth2uAZUUTo32HQpJVlNiFqMnXog82ow+KCvdo\nLnwdB/F1HkaOzEW2JIx4Hl3Xeeutt6ivF43VoqIili5desXVo4/0XkiSjBI9GzV1A3h6DQJb6F60\n7uMMNu3kTHszPd5AUO+2VZ8lITrw3Xqqfu9fc4KgxC/DMuuro9ZkjwfZmuCn6ttrhscGusr59Nli\nKvolui1RfLhqx/C2NEc7cTfcxleWJkwoKHsx8PVV4K74pTBmzv8nlJjJByOniqioKM6dOzdc76vr\nOmazeVLMiCvJcZIkicKMhVQ0nGDAGci817VVEmOLJzV+5LIUXdc5f/48O3bsoKGhwbBdkiTmzZvH\nhg0bSEpKmvS3GRkZSVFREVarlba2NoMAZk9PzzDDLykpaVTGnny+DOujDwhlVnpEFIP3PwyxI88z\n40GWJJLDFUGwtcnho6LsCWprdgqOyxAW56/m7vX3kpc2Z9Q+ylfSe/EBRORFq/h0nROdgSBoj1un\nqs/L2hmjs3Fauxt45q1f8u7p13B5jIK32cmF3L3uXhYXrB61bnyq78Wrh54Q6vdHKhuaDOIik4gI\nixbsA7fHSU1LOQvyVhhauV4OmFQzM9PnMytzMe09TfTYxbI7l8fJ6drDVNe9S7LejE25YKeGlA35\ndJ3vHe7jVLeYWLmnIJwP5xmTpeHh4cTGxnL+fKCd21CLwLy8vKnrPlwmXDaHurLxJGdqj+BQkmkI\nCxiUFsnD5y2/R5GC2zv5jSFv29tIYTOQw0VqaF9fH9u2bcPjCXyUiqKwZcuW4QxsKIaoBTU1NYJo\nR2NjI/Hx8cTEiIZ4w4CXHx/v5w8VDhxEkuI+PEz7tuqBzHBepMLcwom3M9J1H+5zvwbdS58ewf+4\n70YnqBY3ZP8CexVpQTRESZLYuHHjcNTG4Rzgt9t/IqjXSkjcseYL5KbOYiQMBRgmWruguTpxnX0M\nz7nHwRP0Oz4dS0PguUW7+/lr7iZM2gCx3gokZDJii4Q6b4ND/exvkO2BiPw76UuZdeuPkBQTu2tr\naHMHJpUcq4vFKb0M5itIHlC7dFz/9B305ICQ2MVgItkFi8WCx+MRxHTa29spLCwUPvZ2p0ZJ0GJh\nliWuTZtYjTJAj0vjV2cCz0QCvjDLSmdbi6Emrru7m/LyciRJIjExUTCGdN2H6/SP0XpOCseYMu/A\nnHX7hK9nRJgtYDKjBonCSYN2w266LQrX3V+k6/bPcDCot63T6WTBggXjR5A1H5Y/PIrk9eCVFX67\n+Ea6bNGk9nVgDqmlk9ubMe15GWnQgS9vDlwhE3BMRDzvng5kKu3OPuZlF2OzTk4IMBiSKRI1ZS1y\nZIE/W+0VxT50d6efBu5sv0ADF9+/0tJSTp0SW9WlpaWxbt26y6KuOVmMZQhJajhq4kqU2IVo/ecM\nyuiK5mCuzUmiyUuTy0RG6gLWLbpleLun+Q3/vBZ8Tls21gXfnxR9fiTIkQV4m14dVkA16U5cusJJ\n3yy6LVFsaNhPrNsfgJLRySvMgezJd12YCHRdx3Xmp8NCkOD/f1qKvnzRQYOpYOjbD3Yi+/r6mDNn\nzoSdxivNcVIVlcKMBZyoPoDbG7AxKhtPkJVcSGyE6Hh2dnby5ptvcurUKcGWGUJaWhqbNm2afDlW\nCCRJIikpicLCQpxOp8DUA7/h2tTUxPnz54mKijLQLKXOVsJ++hVkR2CO1xWVwa/+BD17aq0cM2wK\npZ0eWoKyWF1aHKmug0hBGbK0+CzuXPtlimdtwGwaez290t6LDyBiYbyJmn4ftQOBgEmD3YfDq7Ms\nSZxznW4HO4/+heff/Q3dA+2hpyIyPIabl3+cLUvvHJcqPZX3oqmzllcOiOJbW5bcOa7I6HiYkZCD\n0+2goT3gSPYP9tDR28yc7PcuuB0RFs2i/FUkRKdQ334Ot0dkuPS6nJQMhOHUJNIsHsKyxLKhX54e\nYEeDqJ2zJtXCV+ZHjvp/iomJwWw2C2uC2+2mtbV13PLcKwWX7QobOvzCYKHtshYl2Yi86ifIEUal\nYN3RgKv0AZwnf4A26Hdk3G4327dvN1CYrrnmGoNAVyisViubN282ZPR2795NR4c/Yzzo1fmfsgE+\nsaeLgxfqe/rUbAYUv1PvkMX2LQ0NDQZVzbGgDzYP0yRKvHPQgh5BXpTKb9bEsSDe7wyYNTdzg2Tl\nATpjcuhW/Ma41+fl6d3/SVd/m7DPxqs+zOysq8a8DlVV2bhxo4E+tn///uHMla558NQ9y+CBT+Nr\n3W04hzPHhh70cRT21pLV30S3yU8ZdUsDw/d1RLgGUVoDWTYdIDMfxRSGJ/VmyhzitS2O8NeP6laJ\n/uUmOm+PxZ0+dTqILMvcfs3nSIkVs/Nvn3qVY5UBcaGFCxcK4m1er5cjR8SeystCRMiOtLvxaqKo\nzFg42SUaVvnRKkvnz+GOO+4YMavr9Xo5fPgwzz77rJBx9Jz/P3wdYjmEkrACU97HJ3wto0LX0aLj\n0EdRBtclCc+6m7H/+x/xrr2RqJhY4b55PJ4RVWtDIdedH27LUh2bhsdkpiwpl99ddROlWfPQQyZY\nyefD/NqfCb//H1D37QR94vf9UsFmjSI3RcwAhrbNuFioCcWEFf8aU84/gmx0/rzN23Ec+DSehpfQ\nL2R7qqurhd7q4M8Wrl+//n2xYI0GJWYu1qWPYZ75BVCNNeqF4S4+k9rBjRk29AtMHl/Padzlj4o7\nmmKwzn9wWgS6mnzxvCNfL4zdZtpGvNQFkkRJvli3rB7aM+XfHA2+jn2G4Jql4LOjMsAuBwoKCoRy\nILvdLnRUeD8i2hbP3evuFbJWPs3H07v/k84+vw0z1M7q+eefp6WlxXAOm83G+vXruf7660dNEFwM\nwsLCWLNmDTfddBMJCcascl9fH9u3b2f79u0B2rnTgfWRbyP3ioEq1ye+hla0YMrX5PG5WaKKbTQd\nagotFj+NNsxi46blH+eftj5IRtJFlCh9gCsOsiTxrUVRFMaIGdhnqwZ5scaffdZ0jePn3uHRv97P\nvjPbDerdiqywau713HvLT5ifu/ySOp66rvP64acFCnRiTBpXzVwzLeffsuROZqaL39KZ2iO8efyv\noxxxeSBJEvNzl3PvLT9h1dzrUULsPR2JI/02Hm9O5JQ3Y/gZvVQzyLNVIotgZrTKtxaN33t87ty5\nFBWJPmJrayt79+41iDNeibhsGeo9pS/Sa++iNmwzTiUQJbo1N4w5qTNQU7cgmWPx9ZaBJtI6dUc9\n3qZtaD4fuw430dYuRqoWL17M3LliL+fRYLVaSUxMFOq3NE2jrq6OVls63znm4ECbW1CkQ5JAUoj3\nnDHQvnVdJyYmZsKRL19XCb52v5P2V891VGkBKtiWDCsbM6xsybCSGaHiqSoh3hVwSN2SyusRS3mh\nzkOf20d95ZNU1Iv9mRfnr2bTko9MaIIZq3YhPcaOdPZH+Fr3iC1kLkBJXoflqodQz1citwcoxV2W\naA4lLyPFdQiFQcK88cybExCgC44SyjUVmPe+OrytxxpJzzU3kJ6ezoGyNzjXFDAAoxWNjXH9Qpms\nbvLibd6OPtiCHFWEpF68cz16dqGU7ORCYiISUFUVVVUFx7Wzs5Ps7OzhMoM4q8wL1QH1UrcGxUmW\nCStZvlo7KLQTWZtmoTjZgslkIjs7m/T0dDo7OwXVcfAbaefOnaOzs5NYvQyp7vfCdjkiz591m2Kt\npNRUi/VXP8Sy7WmhndUQfGlZOP/l3/FeewOY/ZkESZJoamoSagMTExMN34yhvv7gLtSTfufvQOY8\nOm3+CLRPVghfsY60W+5GaqkX3j8AyTmIevRtlDPH0bIL0KOnzyi9GHg1D2frA7Quu7Of4qL103Ju\nSVZQYueNoYDtxtd5GF/Hfvo8Mby++6iwMFksFrZu3TppheXLiYlmFiRJRokqxJS6CY+rB32gSpgv\nFAnUgbN4W/eAYsFV/gj4ghZ+2YR14Q8NLT8mi0Gvzu/O2vnx8T4ODeawUd1LmOSfU1TJR7wywMq5\n17JlTirmXYE2dlJHC571N4Nl4oyWiUDXPH5RwiAmgxK/FHPO3dP6O5OFqqrY7XYh6Op0OkcMHI6E\nKzUTGWWLIz4qebjlJvhLP841nsLmS+LNN3cJGiZDkGWZBQsWsH79ehISEi6ZkxAREUFhYSE2m43W\n1lYDDby3t5fy8nJ8Hg85f/21QcPCvfVOPNd/dErXoOs6Z+qO8uSbj9DYdAiXEoddDTDN+tVMtmZY\n+Id1XyI7pXBS9+JKfS8+QACqLLEi2cyuRhcOb2A9OtTmJkXtZPf+xzhY/oZgiw0hL20Od6+7j/m5\nyydFt77Y96K8/jhvn3xFGLs9pGxoKpAkiaKMhZxtKMHuDNhIta0VxEUmkRL33raQUhUT+WlzmZO1\nlI6uarrtYnDNo0uUN5Ryvuk03XIa/3E6mFsCCVaZh1fGEGUeP2A/xJ5tbW2lvz9QPtjV1YWiKKOW\n514puCwpCZ/mpbmzDh8melXRWFmW6M/oSbKCKf1Gwq/+DWradRjIz5qbg0dP0tAotsfKzc0V6okn\nghkzZrBypZgdcDgcHN37Bl2DRmXNBfEmHlq3ljCzDSRwyKJDH9yWazxoA35qh67DMd88YdtQdlOS\nJK6KcJI9IJ73tG0mLtmCpsOBM69z8vzbwvbs5EJuXP7xSS0+8fHxrF27VhjzeDzs2H2Ywf5Ww/5y\nRA7WxT/DOucbyJZ4vMViPeiGhv0Aw1nq9r5Gofe1cK4QFej2iFgSExPRNI3D5buEbatrHEQd8yB5\njE6ct+UNBg98Gk/98+gjtNWYKEbLLjwVlF2YNWuWoTzg4MGDw06KIkmGVlmH2ibOYCgNyVDPjxcX\njOTkZG6++WZWrVo1Yquz2tpant/TwImuWXg1vxMvmeOwzH/QQP2dFAYdmP/8K8K/80nU00dG309n\nxL7UiYmJwt/t7Ub6ViiUC4acR1aoiksXtuXl5aGl5+D8xv9j8IsPosUZxWmUihOEffezmP/4KIxQ\n2325MDtziVDv19bTSGu3sV5yKpCtSVjnfQfrwh8jhRsF37SBaqxVP2RZ/H7CFL8TKUkSGzZsMLzP\n73dI5hj22tP4fWscTS5jHZrubPZnpj2i+JOl6Kso0RdfT6zrOnuanPzjrk6erHTg0WCQMJ5w3yrs\nd43yDptjGyA9B196YD2UNA316DsX/fujwdvwsqijIMmY8z897b9zMZg9W7zfzc3NBqG89yPm5RSz\nblHguZu1CJSuJA7sP2hg14FfF+X2229n6dKll6VeUJZlZs2axR133MHs2bMNNoPP5yPihd9iKtkv\njHsXr8J9+2em9NvtPU38fud/8Kfdj9F7oUYzy/E6sh6wvTxyBF2xN0+qI8IHeH8h3qrwb8XRWINy\nDZoO/35S52xnr2H/GFsCd679Eh/b+PXL1l7K6/Oy/cifhLH8tHkUpM+f1t+xmMK4Z/1XsFlF1f0X\n3v0/alsrRjnq8iIhOpU7kvu5NaGHKMWob1Dffo497/yI3IHnUDV/eYhVgX8rjibBOnEmlCzLbNiw\nwVB6cvjwYaFD0ZWIy+JQt3U34vG56TXloUsBAyctXDH015TMMViK7sW65BHkqIDabEVvLhW9IuUn\nMT56uD3WZDFr1iwKZ4vqm/HeXpb3Hh+miiZYZf51cRSPrIihMN7G4oLVwMi075EWyZGgXXCSa7QM\nuvRAux+rIjE3LrCQHjp0SMgkeUzhlIf7HZV49ylyBkURnUhbIneu/fJF9b3MysqieNkSYczutfF2\ny3J8+oVXRI3APPPzWJf8F0pMgA3gvWqVQL0t6Ksju6+BbpM/y+Cif1R6r1wrOtRtNr9DfbahRGh8\nryJxdU03tlM+4l9wYakb4Xn7HLgrf83g4S/g6y41bp8g0hPzuHWVaDAMuuw88ebDDLrsyLLMsmWi\nqmNjY6OQtR4KEg0huDXIWHB4NSp7xYDA/HijwEawMTRrlrFOXtMVTnXP5tX6jdQ7sjDP+x6yNdGw\n34Sg66j73yD8/n/AvO1PSCHZDF2WhWik0lyL+tarhCLUoW5razPsE/q7SoXfoa6OTcMb9F7bbLZA\nnb8k4Vt6LY6f/B73jfegh7ROk3QN8xvPY/vmPf7rCqlDvxwIt0aQmyrONdNF+w6FEreYsGW/xJz/\nGVCMjI2cyHpuyNxBUXQFq1ZeTVra5et7ebnQ2dfKwfI3aHGb+ENrHNs6o/BIY7NX1KyPoKasHXOf\nsVDT7+Vr+3t48EifIEoI/k4OLZIYEHJX/g+6ruNdJv6melAMJE4Vuqcfd81T4m+kXY9suzJ6t8fF\nxRmEyIJ7VL+fce38m5ibuZw4bz7JvgVYdKNuQmRkJJs2bWLz5s3vSYsYq9XKypUr+dCHPiSUzM1p\nOceSxjJhX3d6Ls7PPQAXWRri8gyy/cif+a8Xv8P5JvEZW/Q+cr1iidJfqhw0O4yG+wf420FBtIlv\nL4oU6uV9chinIz+JR/Kz/lTZxLULbuZLt/yY2VlLLmtd8eGzu4aT8GbyTQAAIABJREFUKeAPQm9Z\nOjV2xmiIiUjgrnX3osrBCR0vT+0ylnW+F/B17EPvPcXMC+VTK6MGDDRwCZ1U1wGW9P47qc79fHtR\n5KRFecHPnNu8ebMhabR79+4JJWPeK1wWh3qofrrLJLZjCa03DYYSVYj1qocxF32FZncORzvEGoNw\n1cGqyGfQav+I7puYMzsETdfZXj/Iw/0FNJrFuussVxML7eXcmR/OH9bFsT7dOvwBLytch4SEBwce\nApRbXdepra1lItD6/ffiaEh2+qpEEybZ/ztNTU2G821aVcxDy+LIVJooHHhKmIC8kpU96sf51Vmd\nXvfkHQZvxwHyBv6TvEgx+tPuTOBQ22KUlC2EX/0bTOk3IYXWzUbG4Jst1mtvbNhPtzoTHRmX1G8Q\nQRmCXi3Wh/fGJhMZGcnB8jeE8cXN/di8/v+X4oCwpI9hXfRTJFu28Zz2WpzHv4nz1L+hOS/uwwvN\nLoBfpOzPb/0Cn+YlMzPT4IgcPHhwmDa/NOS9Lu/x0uMa/7mc7vIIpQYZEcpwT86RYLVaWbVqFbfc\ncgtJScaaOLvXxtvNS9jx7vkJ1SyHQq47T9i/3Yf1Vz9E7jE+Q+/sxQz+4H/xrtoijJv/+lsIESkL\ndai7urpGZS4ASM11SP3+KHVFomj85+TkGBdVSxju2z+N48e/xbvgauP5+nux/t9/EPb9zyNXlRu2\nX2rMzRGDMKdqDl2ymiBJNmHKvI2wq3+DkmxUFDfJXhYnnCSz91F8XcdGOMP7GzuOPoNvWCFYopZ0\nwq/+X9T0m0Y9xtv8Bt62yddpDXg0fnGqn0/t+f/svXd8HHed//+cmZ1t0kqr3rtkFUt23Esc24kd\nO3ESIIWSUI96RyABjjs44EsL5eDuaAfcceE44AiQBJIjxUncHTt2bMdFcpHVZfXetXXK74+Vdne0\nkizbkh1+j7z+00c7s7O7U97l9X69BjjVFykslWgV+dLyOHIq/tawrg1Vofa9jrLKOIcnVZ9BGDFS\n6q4FvqYnjKJ1kh1z3vvmbf/zgald6nD1779WaJrGhQsX8LTaiNZTEaYw7gRRYMWKFTzwwAOXte68\nHkhMTOSee+5h8+bNFLgH2dJgLPiNmW38Nn0px85UTeuPPRt0Xaey8Sg/fuaLHD63E003JsmiILK+\nbDv/euedJIQ97/wa/LJ6bOru3sL/j9DSU8/5k98lx2VsEHmkRKqjP0BR5go+fe932LLsPsymaxOJ\nvFK4vePsr/w/w9qKok2kxGXOsMW1Izu5kHds+IhhzeUd5Xd7f4jH55phq4WHrvnx1f938G9ZhM0F\nZTxy7z+zKHNZxOtl3UWh6xnOn/wuLT31Ef+fC2JjY9m6davh3qiqKrt27TKIKb+ZcF0S6vagINnc\nE2oIzMSN2VZzuGsNetihmgSFTalHsElj+C89ifv1j845GKob9vPI4SG+e3qUQZ/O4dgVDJmMlePF\n47XcJndG+IDGx6QEqB5CZJd6LrRv3TeE7gskJidVI2Vksqup63qEt3ZycjIFBQXcFOumfPw3SIQC\nNx2R6uj345KSee6Sm/fv7ee5ZjfqHL4LzdWBp/KreKu+Dt5OViWdJsVqrIQ1jeVw0bcZwTwzLVRZ\nvdnw99a2o6iijRFTNj5hjN6+aaprmoqpo9mwpOcU0TfcGVG93tAWoutqSWn4b78PKW4ptlU/xVz0\ntyBFyvCrPQdxv/5RfM1PomtXFgBAoLuwJH+dYa2h4zw7jz0BwNq1xqQt3H4kwSpRGBPqqOrAyd7L\nH0NlvzEgX5owt8peQryT27OOsS75BFYpsrjU3t7On//8Z44dOza3YGh8FPPvfoLtqx9Dqons9mvx\nSbgf/jqef/w3tMw8fPd/BN0copOLo0OYn3/CsI3dbjfM6WqaNiu1c5Lu7RNNNMUZVdzz8yMp5ZPQ\nUzLxfO6fcX/2O2hJkd1Xqekitm/+HZZf/QuMXHmR4WpRmr0cMUwAqm+4k+6h+aV9T4VoSaBqfDO7\n2zcx6I3sfumuVjxnvoTn7LeCoo9/7WjuusiFS8aRhG0r3onZFo84DRU+CF8/3nPfwXPmn9DGL18c\nnSzKvn/fAE83ulGn3G4lgWBRdmumFVPiSqR4IwvIV/9LtNR01KyC4Jqga0hvvHr5DzoHaK42lPbn\nDWty7oOz3stvBHJzcw3imIqiUFdXN8sWb250dXXx7LPPcuTIkWnvty6hj3bpBNHJkkGU7UZDEAQW\nOWzcXX0IKZwdJ0o8V7qJUbOdqqoqnn76aerr6+cUb3UNtPCrl7/Ln179T4MTySTyUkv55Nse487V\nD+G0R/HRUqMY4N52L+cHIgtVb+GvG2PuYZ45/DiP73yMjv5LZHoOkOI1FnGG5QK6Ej9EXPRVsuuu\nEQeqnsPtDSVuZpOVLVMaLQuBpfnr2Lz07Ya13qEOnjzw87BC8fWF0v4Cujts3HZibCguOonOxA9z\nLvojuMTIpk5H/yUe3/kYzxx+nDF3JI3/ckhPT2fDhg2GNZfLxSuvvDKtM8KNxnURJdtz+s/0+WRa\n7NuDa7IIn13iCHZlp4PH4+HFF1/E7Q5XjNPZkHqMFFtYQqu6UHsOoQ6dQ3IUTRswjPg0fn5+jH+r\nHKU7jJKnCRIdlhTyPO2YwiqnLS0tpKenR4j12M1RVDYeRRP8OLQQVW10dJSysrJZH5Da8AWUrr24\ndCv/6f2AQeH7kQoHDrNIXV0d1dVGqtWWLVswW2V+u/tf6Rs2ipnU2++lzxIS/fJqcLTbx+vdPvJj\nTNOKYemqB3/T7/Be+D66K0RVFgTIiOqkbTwTnxYqdnR0dBAfH09cXFzEvgC0xFTkV54KilTF+0bY\nk7mWcRmcSj1WNY7y0gDDYFIYQuhqw7LrT8F9uGQLfVvup6b3RJDRAJA77GHbpdCso+fDn0efCEAD\nXrQlyOnb0H0jQTp92AdFGzyD0v0qgj3Sfm02CILAoowlNHZWM+IKJX7t/U3YrdEsyi5nfHzc0H3v\n7e2ltLQUSZLocqkGxW6bSeCWtNkrrL+pHac7zD7kgXw7BbGzB1y6ruOr/Sla72HiLMMUOJrQdJF+\nbzzhOgS6rtPd3U1dXV3Q8y+iK6JpmA69hPXHX8FUfRqjtAToJhn/XQ/hefhr6DlFBBWfbFGgKpgu\nhoS3xOaLKOtuh6hQsaq7u9vQKY+PjzdYtIWLhsivPI3U1kh9QhY1ybnB10RHR7NmzZrLdnT01Cz8\nm+9Gl81IDRcMVHUBkC7VIR98Aaw2tJyiq6YxzhWyyUxbX4OBPma3RJOftnAewLW1tRw7dgyXYqdh\nJBePaiXZNoAkTKHtu1pQOl4CXUeMKY5kodxgzFVMRtM1/njgp4bAPTMxnx2r34s6cApf9ffBcE6L\nU/4G3dOF0vESujIWsBwTI4u+dcN+vn5ihGea3HimZtLAyiSZ76x2siXTani+idH5KO07Q++pjCLI\nsUimDEwXwpgCPm8E6+Nq4K3+oUGkTrCmYCn7hzfd7ysIAn6/3yDUNRcLrTeb+JTL5eLw4cO8/vrr\nU2KWABTBTZ9Uw4jUhoZCTetpirOWEW2LmWZvNwDjo9i/9znEQSOz66XiDbTEhfm2+/00NzfT0dFB\nYmJiUJAzHG7vOLtOPsX/HflvhsYinT5i7PG8ff3fsH3lu4m2hdmQxpg40u1jIIzRdWlUYUe2dc5d\n/DfbefEWQlA1lWPVe/jD/n83xHkCEOevYVQuwCOG4sy6YQWbSaA8fvbm21xwJedF/0g3zxz+L0PR\n6Nab3sGieZ6dngl5qSX0DnfSMxRywRkY7cHjc123Y5iE7h/Fc/Yxg1i0KeMu5LRtPNng5g/1LjxS\nIl2WtaiCGafagoAxxugaaOGN2gPIJjPpCTkzeshPh8TERPx+v2FM0O12MzQ0RH5+/g1n94RjwTvU\nXr+HnqH2iO50Rbwc0QEOh6qq7N6926D0BrB69RoKVn0AwRyp3KsNVeI+8Um8db9AVwKVJVXXeb7Z\nzfv29fOXZjdTibeyCA+UJvL2O7cZvB41TWP37t0GZWKAgoxy4h0p+AUXPsJ8GXX9spYf6mhAkKxK\nLUUhlChlRkmkR0n4/f4IS5v8/HySkpN45tDjBlN5gHWl2/jMpjvIiIoMkGqHFR4+PMg/nx5hYKKA\noOs6Ss+rAQGvS38EfWqFRyQq507uuPudVza7EB2DutjYfbm99UjwN+8ebo2oZktTBcmi4nAmODld\nbxTlCe9Oq0XlqCsjrQoEcxyWsr/HuuIHiI5Iaw3d3Y638it4qr6B5o60KZkJssnMQ7c9gjPKWHnb\nefwJatsqWblypaGA4vF4OH36NBBJ+z7e40ObpaLvU3UuDM4uSDYdlLb/CyRDEzBLCisLVO677+0R\ns4kQCPr279/PCy+8YCgGiE0XsT32MNb//j7iaGQnQVmyBte3/wffAx8FS+Q8qn/Hu9Gcoe9J8Psx\nP/244TVT/c1nm4WZ7FDXJhoVLq/oBmq24H/7B3B99zcoKzdG/FtwjWH53x9j+/onEGurptnB/KI8\ndyrt+9iC0b47Ozs5dCgkWqgj0uYvx7TiPzCl3UGk6KMXf9NvcR/7BMoUu7W/FlQ1HqWjv9mwdseq\nB9FdrXjPfdtgzYNkxbr8X5CzH4Cp1lG6itL6bOA+2bkHfWK7EZ/GD6tG+cTBQc4NRlbHU2wij62K\n5V/WOslxRBbCxOhcTOnGRNnX9Dv8y433TuliJcI0IxZXAnWwErXPKChlLvgwgnTtgelCoKSkxGDb\nNjIyYvAjfTND0zSqqqp46qmnDO4hk5BlmdWrV3PrtlvwSqEujdfv4Xd7fsiYeyRim+sORcH6068h\ndrUalr33f4Tsd/9NhL0mGDvxkxR9Tdc4WfcqP372C7xevTvyuS9KbKy4m0fu/S4VeZGFUVEQ+ORi\nYxPj/KDCgY6/7hGAtwBNndX8/LmvsvP4E3j9kQWnJbkr+PfbCki3G+/Hv7gwzuHO6/v7G8eGAoK1\n68u2z7LF/EIQBO7b8FEyE41svNerd3Oses8MWy0MZhobOtzp5RcXQuu6YEJL2MrH7/kO5blrIvbj\n9bvZefwJfv7c12jqrI74/2xYvXo12dnGWLC5uTkiX7rRWPAOdVtvPafqD9Fi24pbClE33p5rm7Hq\npOs6r776Ki0tRguY4uJiVq9ejeTICyiB6yraSA3GLoOONnIRpXM37T4H/3TWyfMtXrzTMCVuTjXz\nndVONqZbiXVE43A4DEmxoii0t7dTVFQUTLYFQUDXVeo7ziEiY9VD3XBVVSkqKprxu/C3v4A+3sxf\nfNup00IXytZMK2tSLFRWVho+syRJbNu2jcPnX+RErdEHuihjCfdt+BhZDpl7cmxYTQIXBv0oU+Lz\n+hGFFy65SVDbyGj9F5SWP4EaOYshxi7GsuTryOnbsNpjIqzFdF2npaWFgoKCCB/vwIdXMJ16Lfhn\ngmeY3xW9izTvEUyaztLCtVgslmCVUHztFUx150LHmZBFb3EKNW2ng2vRPpV31/QHqz6eT30dfRo1\n5+BnsCZhSt+OYEmYwX6tDaXjRdDUgM2WeHm6nVm2UpC+mMrGI6hhCuI1racpz1+N3eIwdFZ6e3sp\nLCwkI9bGnxrcwd/Do+psSLOQMIPa4flBPy+2hOjaKTaRvymZXeFU6TuGr/rfDGuCNQXbsn/G7kik\nqKgIp9NJT09PBD1mbGwsYI0y2E/Ovj9h/d8fR3QmIECx93z8S/jv/RtwzCKaY5LRox2Gc0Bqb0Kp\nWBX8zTRNo7Y2pFipqiqLF4fEuoLshb4uLH/5DT7JxJ7CNQbRu3Xr1k0b3M0KezTKmltRi8qRmi4i\njBmpR+LwIPKhlxB62tEKF4M1suMyH3BGJXDkwsvBINPtHac0ezkO+/xScEdGRti5c6dhRl2SJO68\n807iEtMwJa1FSliFNtoYHEEJQhlD7T6ANlIb6FbLkUJK1xtz6Sz4FC+/3/cTQ6C2OHcVNy9aj+f0\nF8EfPpcsYCn/MqaE5UjxyzElb0RztaN7plgZqR7UviMoA6c5PJrJP54Wqer3M7UEIovw/iI7/29F\nLAWxplkLPlLMIvztL4WKmZoP3W7DcsmLODwwcXQ6elIaWn6k4OBcoOsa3rPfQveFPrMYU4K56BNv\nqmp+OGRZZmhoiMHB0DH7fD4KC2f2Hn4zdCLb29vZtWsXDQ0NBuvJSRQWFrJt2zaysrJIjE3DarZT\n1x6yg/T4XbT21rEkb12EwM91g65j+e2PkE8cNCz712/D99DDxMXHB71he3p6IpLk3t5eampqcPtH\n2Xnq1xyv2YdfiaS6F2VU8N4tn6Uib82s4qlpdom6YT+tY6GgrXbYzz05NkyzMBon8WY4L95CCMPj\nAzx39H945Y0nDbZQk0hypvPuTQ9zS8UOYq12ViaZ2d3mwR92OR3p9rImxTxj/DQXzPW8aO6uYdcb\nTxrW7ln3QdITcq/6va8GkihRnHkT55qPG55r9R3nyEoqID4mZZat5weaq20ixgxd83L++2kyLeGf\njg0Z8o0ok8AP18eR43RQnruK3JQS2vsbcXmMTdFxzwinGw7TN9xJZlIBVvPl7W4FQSAnJ4eWlhYD\n+6e7uxuHw/Gmud4XPKE+13ycuo6L1Efdjx7WCfjkYseMgkuVlZWcPXvWsJaWlsZtt90WrGILonzZ\nYChq+HWylLM0aDkMhiW+GVESX14ewweLo3GEeaPFxwe63uEJksfjob+/n4KCgmAwkhibxusXd+PX\nPTi0EI14bGyM0tLSGW0vfE2/RfcN85++DzBOKCn4YHEUcYKXffv2GR7KS5YsYVTv4qUTRpXWZGcG\nH7j988imQGIriQJLEsxsy7LS59FoHg09iGy4edD0FFvH/wPRG+l9KZjjsRQ/grno44iWUNff4XBg\nt9sNCf4kLa+wsNDQzYcJ2vfLTyNMdHOcvlH2ZazBZ3IRpXZQlLKcuLi40E3tud8h94e6xRfzlnCC\nesPFt6l1hOLBQGXSv24ryrb7p/1eDZ9HEJFiFiGn34GuutFGp8zi6Rra0FmU7v0I1mQEe9Zlg8xo\nWwyp8dmcbQp17lRNoba9iq1r3kZzU0swYdV1HbfbTWFBPtVDxqAg1S5Nq9oNsLvNYxA1WpdiZmP6\nzDZX2lgjnsqvGlkGkh3bsn9GtKVOfBcC8TMEQ4KuUdFZx/rDz2Btrpnar0SXzfje8UG8f/sV9My8\nEL17FmhZBUhnjgQTAwCx4xLKxh0gCFitViorQzPZXq+X8vLyYJd/8twwnT6C6eQh6hKzqU3KDb7e\n4XCwevXqq04K9OT0AA3cFoXUcB5hiiia1NqIfOB5MMloeSXzTgOXTWbaehvpHwmd9zZLFAXpi2fZ\n6srg9XrZuXNnhGjHrbfeSlZWaIZYtCQGik/WpInik7EDoLvbA/RkzYcYO7fi00JhLoHQobMvcrE1\nRJuWRBMPbf4kwsXvoY8bR0HMhR9DTt8W/Fswx2JKvQ3RkY82fBHUKYIn3l5SR3Zj14eoVgvxEbqG\nw4uycwn2hQnldW0wNB6hjdYjpWxCDlO3FrwelFvuvOz+poPStSdQOAyDpfzLV6/0f51gt9upqQkJ\nVQ4PD1NUVDStPSDc2MRpbGyMV199lRMnTkzr8BEfH8+WLVuoqKgwFKAzE/MZ8wwbmBTD4wMMjvVR\nlr3ihhQ85F1/wvz87wxralE5nk9/AyYSX0mSyMjIoKCggJGRkQjmnqIo9HT14RsHP+OoQiihjotO\n4r4NH2PLsvuIss6tQFcUa+K5ZncwjB/z60TLc6P+vpVQvzmgqAqHz7/EUwd+RudApC6FRbaxbcW7\nuHfDR0gISw6dFpFip8yedk/w91d0eL3bx5YMy6zM1tkwl/NC0zWe3P+ziLGhO1c/dEOuTYtsJS+t\njMqGI8GOuY7OxdbTlGQvi7DZmm94q380ZWwomfGCv+ezR0cZCbOwFQX4zmonZWFORXGOJFYu2ozN\nHE1rb72hIQUB+9A3ag8gCCIZiXmIlykoSpJEdnY2DQ0NhmZBa2sraWlpOBw3vvi/4An1kQuvUDdm\npdsaogAkWkU+Xho17Qna1NTE4cNG2m9MTAw7duyYtjMaHgyp0wRDSeIA200HiBOHaaKQ95bE8aVl\nMdNS8iCQuE+tlI+MjODz+YIBqWwyMzTWT9tAPTYtASkswIqJiYlQNAbQVS/+usfp0FP4o/8dwXWz\noPOZJTGcOHbUQIG1Wq0UL83lyYM/C1IOAaKsDj68/Ys47JHdwihZZHO6laUJMjWDPpZph/mq9Ycs\nN51HFKbMCgoS5uz7sJR/BSlm0bS/xXSzCy6Xa/rZBbMFqbEasStE0xs2OziVtIg432nSo0rIzMgK\n3tTkP/wcyR8K4itvWs6F8VAwJWo676vux6rq6LIZz6PfAvvcPSkFyYIpcTVS4hq0sWZ075Q5LmUc\ntedVtJFqRMciBPPsliUJMamR3QWfi7a+BtYu3kLLpdBNZ3BwkMzMTHRLFK93hwILVYc7s6evxv1v\nrYuOMIuQe/PsFDunL8zovkE8p74I/vBOq4hlyVeRnJEzuVODoei2et5W/SoV3Q2YphG5UFZuxPOZ\nb6Mu3xAMqOYEQUBPzUI+/EroqAZ60dJz0TLzkCSJxsZGQwCakZFBTEzgoRA8N/Y8i3SpliM5SxgM\nO89LS0vJzLxGhU1RQisqR9lwB8LwAFKbMdkSFAXTuTcwvXEQLS0LPXl+baU0XaO65WTw71H3EGtL\nb5+Xh/XkmMpUKv3y5csNTIBJCIKA5CgMFJ80L9pIHUa2j4Y2fA6lay+CNRHBnn1DgorLBUKjriGe\nOmgUbLm5bDuLPEdQ+430dVPaduSCv4n4HIIgIEZlY8q4EwQJdfgiQtiAkCjAIqmJbfJBxnU7Hls+\nX1oeG1GUnQtExyKU7r2gTD6rNNSEKOzHw/QsBnpQNt0NtitjS+iqB2/VN0ENVfGl5E2Ys++9ov3c\nCERFRdHS0oLLFWJQSZI04zV/IxInRVGorKxk796904oqms1m1qxZwy233BK8r4VDEAQKM8pp6aln\ncCx0nXYPtiGKErmpxRHbLCSkM0ew/PJ7hoKqlpiK+ws/AHskE8hqtVJQUEBiYiI9PT0RomsmLETp\nKZh0C6rJzaab3sY7N/4tKXGZV3TviDWLjPg0qodCgXP1oMJd2QE23mx4K6G+8ahrP8sTe3/EueZj\n0wppLSvYwEO3PUphRvm087TpURJOi2iIn1yKTlW/n60ZcyteTsVczovKxiMcu7jXsPauTZ8kLjpS\ncOt6wWGLJSUuk3NNx4JrqqZQ11bFkvy1C6Z+rg5W4m/8H8OaUPhpvnAugZYx42/6mYpobsuMbACJ\ngkhWciHLCjfg8ozRNWhkHauaSmPnec41HyfBkWIorEwHs9lMamqqQRRx0mUpLy9vxuLr9cKCJ9Sv\nnHiSZnEpI3JucG1zuoUNaZFffl9fH7t27TJ0ac1mM3fddVeEOFg4BEGgyp3KtzrWM+iDYrERSYgM\nht5hO8TSlDjkmAKEGYbiBUEgOzub9vZ2w4O9t7cXm80WTJadUQmcqNmPiMlA+/b7/SxatChiv9pY\nA0rHSxzwr+OkGrIAW5ZoZm20K6KIsPimEl489Su8/lDyIYkmPnD750mNn0WtFkhWm7lj7AesV1/G\nJkTOnpxWFvNd32fxxG+mJN6ONMvNKT09nf7+foaHQ8nb0NAQqqqSkWFUX0bTMJ0MzW0mugf536J3\nkuE9hFVzsrh4KQMDAyRKYHvuf4OvUwSRlxanMuINFTGW9LpY2xkIOP073oM6zQzsXCBaEjClbUOw\npU504ozdBN3dGZhBVt2IMaUI4sxzy5mJ+Yy5I7sLglkliiQDFWVwcJBVFSX8uSm01ufReCDfhlky\nft+KpvOTc2MGitPflkXjnIbBoas+PJVfQXcZK77mor9FTo20SAqHzTPO4teeZ8kbu4nyR3ZVBmwx\n7Cy+mdZVW0jOK7gqBVo9KQ3xUp1hFk9sqsF/6z0gmejt7TXMbsfGxgZnvScfeJYn/wOf283ewjXo\nYdfp+vXrpxXAuSrY7KgrN6KULgsc7xSrImF0GPm1XYjtTagFZVdUzJkNzugkjp5/BW2iSOb2jVOc\ndRMx9ukF/64ER44ciXAbKCgoYP369bMGs4JkwZSwCilxHdp4M7p3CvV/UvRx+DxSzPSijwuJywVC\nLx1/wiBwY7dE867CDLR2o+WJ6FyCpfyfZhXlUpF4bqiIH3evJJ5eMkWj5oJV8LHGdIa3Oc6RnVp4\nVV1fQZQQZCdqb2g8Qvd2YhIyMHUF7rMCoCekoBVcmWid/9KTxiKCKGOt+CqCPD/n70JCEAREUTRY\nRg4NDbF48WLDfPUkrnfi1NLSwq5du2hqappW+6C4uJht27aRnp4+6/UmCiIlWcuobjmFyxuaQWzq\nqibZmUGyM2PGbecTYksDth98EUEJcw2x2vF84QfoSZH6G5MQBIFhbw+V3XsYdQ9h1h0IYXI8AgJm\noomTcijOWkJyUvJVFeJK4mReuORm0gnUrwVGp9amzB40v5VQ3zgMjvby7Gu/ZO/pP+P2RlqepcXn\n8OCtn2Zt2e1Y5JkZeAAlTplRv0b1YKio0ufRaBtX2ZhmueJz6nLnxbRjQzmr2FB+dUyh+URibBpm\nk4X6jtCYpMfnorWngSX56y7b3b1S6LqG99y30X2hoqEQU8L3R97DG1PsIe/Ps/GB4tmfLxbZSmnO\nCgrTy+nsvxSh+O32jlHZeJTO/haykgqwWWYe64uKiiImJoamppCmlKqqtLe3U1hYeEOdExY8oX7p\nxO9ptN+DXwy1499bZCd3Sod4fHycF1980eA/KQgC27dvjxAzCkevW+UHVaP8x4Vx+n0iVWoZB5W1\npIp9EcGQoHlR+4+h9p9AjM6bMRgSRZHs7GwaGxsNs6dtbW0kJycTExNDtC2Wps5q+sc7DbTv8fFx\nSkpKImjfat8J1P5j/N73Djr01OD623Nt9FQeNoivOWKjqB3jef4vAAAgAElEQVQ7HKGOef+Gj1Gc\ndRMzQfeP4qt/HN/Fn4A30qqqR0vgR56P8hv/OxnUYjjZ5+dAh5fMaImMqOlPwskCQ2tr62VnF7TE\nFORXnkaYKIjE+sfYn3EziB2YPR7WLL2FgYEBkgY6kI/sDu0r2snLiUaRigdqB4j3qGgxcXge/hrI\nVy+mE+jEFSBn3Imu+dFGa4nsxF1A6dyDYElAiJreF3S27kJ2Vg5jYTea8fFxspLiOe22M+KbqKQB\npXFyBDuibljh2bDE22kW+ERZdMQx6LqOt/pf0QaMtkCmjLuR894/8wNGUZB3/Qnrv38NaYr3N4BP\nMvFazlJeWbSOIXsMfX191NTUIMtyYKb5Ch9cak4R8v7ngqrvgmsM3RaFtqgCt9ttGCOQZZmCgoBq\n+8DAAIkmAcvTj1ObmENdmP90TEwMq1atmvcOqZ6YirLpLnSHE6n+PILf2HEROy4h7w9YD2l5JVfW\nsZ8GJkmmva+JvpHQ+IXVbKcwvfya9nv+/HlOnTJ6SicnJ3P77bdHjGfMBNEShyltG6I9A2242tDl\nhHAF7HGk2JJpFbAXArMFQp0DLTx/9DeGtQfKlxPb9bRhTbClY1v2XQTTzPNaZ/p8fOX4MK+0eRnS\nonhVWUetms8iqZEYYQoN3DeA0vkKuqcnoAYuzR4cToUQlYs6cNLAnFGSrdiqRoPdQsHjCoxLzBGa\nN2D9RZhbhZz1AKaUW67o2G4knE4n1dXVqBOq/KqqEhMTQ2JiZIfoeiVOIyMjHDhwgFOnTk3rj52Y\nmMjtt99OWVnZjONeUyGbzBRlVFDZeARFDT03alrPUJhRPi8FttkgDA9g+97nDAKUuiDiefQxtKKZ\n70WjriGef/03vHT894x5hvGKI4yLvZh0CzLGYqemarS2ttLS0kJcXNysTZHpYJUETKLAiTDLydph\nhc3plmmLzZN4K6G+/vArPg5WPcfTr/6HQZl6EjZzFHeueoi3rfsQzivo9q5MMlMzpNA+HrqnNY+q\n6ASaUVeCy50Xh87ujBwbuu0RbJY3RzEyK6mQEdeggT4/PN7PyPgAJdnL5zU2Urr2orS/YFjb4/gs\nf2wzfhdrks18YVkM4hzfOzYqgRVFm3DYnLT21BvufQB9I52cqN2PpqlkJhXMqCsRHx+PIAgR47l9\nfX2G8dzrjQVPqF+u3Edz1F3Bv0Xgc0scWMK6dIqi8NJLLxm6oAC33HLLjJ6zfk3nqXoXX3tjhLph\nIzd/jGhOsJ689DIytQZQjEPx+hyCIVmWSU9Pp66uztAxv3TpEjk5OdhsNmSTmbOXjmLT4i9L+1Y6\nX8Ez0sTPvR9CDVP4vi9+lMZzoXk6HR1vXDudg82G7TcteRvrF0+vMqjrKkrHK3jOfgNt6CxTrWAQ\nZQaT38n3PJ/klCeTcIXfEb/O7jYv9cN+Sp3ytPTFOc8uyGakphpDd3LEHE1lYiYObxOrSjcxMjJC\nfM0ZzBdD4mO18bFUJYW+k7QxH3c3DiEA3gcfnvUBfyUQRDOmhJWYkm5GG29F90zx3lXdqL2HUYeq\nJuzXIoOamboL7QMNpCfl4A+Lu3t7e3HmFlM9FHoYRMsC61OnKKi3ew1Bw+pkC7dlRJ6T/ubfo7Q9\nZzyeuOVYyv4RYYZ5X+n8SWw//jLy0T2GTsQk3Cs3sX/N3ZyVog3dYFVVrz4YcsQijI4gNYaUHKXG\ni/g33oVgtQX9uiEgPFRRUYEgCIFiS3sD8vEDvJa7lKEwO5nS0tJIRsR8QRTRCkpRNt6JMD6KdMk4\ndy+oKqbq05iO7UNLTkdPnZ0hcjno6Aav5BHXIOtKt131Q6C1tZUDBw4Y1qKjo9mxY8cVU6AEQUCM\nnhR9VNBGphafdLSRapTO3SA7EaPzFvzhNVMgpOs6fzr0C0NxqzgulrWcNCSVmKID2gIzFFDDi7KD\nPuO9s0NPpdqylZUpDqLcNcb9EmAe+TteQhAtiI6iGZlPUzFJMVc6Q+MRuuBGGtWQBwPHIA704N+0\nI2BLNwf46v5zolg4ATkWa8WXr1vhYz4giiIej4fu7tC9eWxsjJKSkojzbKETJ0VROHXqFPv27TPY\n/U3CYrGwfv16NmzYcMXJIgSYFJlJBVQ1Hg12vDVdo6b1DBV5q7GaF0YcEZ8X2799Aam92bj8vk+j\nrL992k1UTeHohV388cC/R7iN6IKKYh6ltLACwW+OKDq43W5qa2sZGRkhJSVlzkUHCMxS7233MuoP\nFaW73Cpbp6GXTuKthPr6QdcD87y/2/tDLracCjKvJiEgsGrRrTx42yPkpUZew5eDKAisTzFzpNvL\nUNi9ubLfT0aUREHM3Avcs50XgbGhnxno6evLtlORv/aKjnchEWjoVNDSU2totnUNtmCSZHJSIpmx\nVwNd9eA9+02DeHGfYwNfaDMyIHMdEt9f68R6hTPtgiCQkZjH8qKNeH1uOvuNbEtN12juvkhl41Gc\nUYkkxqZNe96kpqYyPDxsGM8dHR3F6/VGKIJfLyx4Qv3UhUYGzKH5vcVxMvfmhx4Uuq6zf/9+Ojo6\nDNuVl5ezbNmyafd5osfLl44Ns6/DG6FqDbA908q3V8dSlp4bmIkTLYGOyxUGQ3a7nfj4eBoaGkLb\naIGqa2FhIakJmZysfRXFrxho34qiRNC+/c1/pNKVyG4lZPuUZFLJbD1ieAD5Y3roGDEG9ItzV3H3\n2g9Me1Kpwxfxnn0MpWNnhLAQgJS4BmvF14nN2MgdOdEkWCXOD/iDNKpJtIypPH/JjaoHuqhTZ1Tm\nPLug65jeeDX0GT2D/KHgLpJ9xynLWIPf7yf26C6sPaFZ62Ppdi7FhB6ydzQNkT3qQ83Mw/ehz827\nOJRgdmJK3YoYlYM2Uh2heq57egKdOP8IUkxphNXMTN2FIV8nVi0OSQ+83ufzERcXx0lX6Hwf8Wvc\nn2cz/JZ/rHcZZlLuzrGxON4YdCjdB/HV/sz4OexZ2G76NoIpMrgQ+rux/OpfsTz9XwijwxH/VzPz\n8Tz8dbS73kNOSRkpKSn09vbOWzCk5pcgH3gh2PEVFD/4PMhrNlNVVRU8hxRFobi4GLPZzMDAACmV\nr+G/VM/ewtULR/eeCRYb6vKbUZasQWypR5xiXSSMjyK/vhexuQY1vxSir04QJC46kSMXQrRvj8/F\noqylV9WVGhgY4OWXXw529CBQDNyxYwexsbPrAsyGgOjjCkzJt6C52tA9U+zmJhSw1cHTiI5Cg6Dh\nfGOmQKi2rZKDVc8H/46WVN6XMoyohV3PgoR1ydeRYiNnU2crygLYTQIfL43mH5Y5iU9Zgil1K7q3\nH318isCO5kcdeAOl9whiVDaibW7qq6I1CW28xbA/f6oZe7WfSckLPSE5oDx/GaijDfhqfmpYMxd9\nHMk5f4J31wsxMTGcDxNoc7vdZGZmRiStC5U4TVpg7tq1i5aWlgh6tyAIlJWVcfvtt5OamnpNBaW4\n6ERi7HFcbA0VmH2Kl8auapbmr59VDfuqoOtYHv8uprPHDcu+Le/Af++HphWfbOg4zxN7f0xV49EI\nYSGAJfnreO9tj7K4cEWQndfT0xOhej4wMMDFixcRRZGkpKQ5fW+SKJBkFdkfZpvVNq5SHieTPo1d\n6OT7vJVQLzz6hrv486FfcLDqOTy+SOeYrKQCHrztEVYV33pNc75mSWBNioW9bR48YSH8691eliea\nSbbNjYE123nx0vHf09YXivPtlmjes/lTQeHfNwtEUaQ4axnVLSdxe0Pdm8bOC6TEZZHsvHbNF/+l\nJ1HDrDM1QeazQ59mVA8Vdp3mgKJ3/DWorptNFoqzbmJR5lK6B1sZcRnH7jw+F+eaj9HW10BGYj52\nq/H+LwgCWVlZdHR0GERYe3t7sVqtszKbFwoLnlD/9uIwLlOI4nxXjo2bwqgab7zxhqFjBZCVlcWm\nTZsibridLpXvnx7llxfHDQpzkyiMMfGNlTHcX2APKgEKgoTkLL/qYMjpdCLLMu3tIRqLz+ejp6eH\noqJFKKqP+u6qCLXvkpKSoIiarmv4av+DF/2buaiFbLVusnuwd14IbSd20qsafSwzEvN46LZHMUnG\nREb3DeGr/Tm+2p8Z5hwmIdjSsJT9A+a89wWtb0RBoMQpsyPbxriiRQSRqg5n+v3safeQapPIipYM\nv8FcZhe0xFRMLz8VpH3H+MfZk3ErslhFRlQ+Noud5L1/RvaELoDd2Q6GrIHAwapoPHSxH5MO3o9/\n6Zq7gTMh0InLCXTiYMJ+LTwA0NFGavB3voIgx0Z04mbqLvjlEaxKPOIEC8E/2E11VCHaxOk65tfZ\nkmkldoIJoOs6Pz43arB1+1hplMEeIlA0+aaxICTHYFv2PUTrlAeE34e88w9Yf/ZNpNZIT1TdHoXv\n3X+H98OfNwhuxcTEBIOh7u7uaw+GzFYwmTCdC/kEipdqUVdvpnV41HADTE1NDSrAp+1/hjrZQX2Y\n/3RsbCwrV668bjQePT4JZeNdaPFJSPXnEHzGIoPY1Ya8/3kEvw+1oBRMc++4QID23Tlwid7hUBHR\nKtsozKi4ov243W5efPFFg8ibIAhs3bp1Wg/yq0FA9HELYnTeBA18SvHJ24vS8TK6b3CC7TP/oiDT\nBUKqpvD7/T8JskRMgs4H0j1EYWQjmYs/jSklUn9hrkXZlcmWIJ1NMEVhSr4FKbYcdbR2iigg4B9C\n6dqN5moLKKObLl8AEh1FKO0vMnnv0U06qDrm7slxiXGUTXfNsoeJUZAL3zcUPYSobCzFn5lzx/zN\nBIvFQl9fn4GxpigKeXl5htctROI0ODjI/v37qaysjBDcAkhJSWHbtm0UFxfP26xeWkIOfsVHS0+o\nkD7mHqZnqIPyvKt3NZgO8l9+i3nPM4Y1pXwV3k98CabQK4fG+vm/I79i98mncXmN1xVASlwm7978\nMDcvvgPLhPWNKIqkpqZSVFSEy+UydI8g0JBob2+nqakJp9M5rXDbVGRHS5zu89PtDj2T6of93J1r\nm5Zq+lZCvbDw+j3sO/MMfz70C/pGuiL+H2WN4e4172fHmvcRGzU/hVaHLFIeH7DTmoylNB2OdHnZ\nlG7FIV/+PjfTedE10MJzR39tWNu28l3kpZbMx6HPO2STmcL0mcZFKq5pXGS6saEX1DvZ71sden8R\nvr82joLY+bn/xdjjWFZ0C3HRSbT21uNXjPHWwGgPb9Tux+f3kplUYCgyTo7nNjU1Ge7XbW1tJCUl\nXVNT4Wqw4An1f9VJaEIo4PxEWTRJExWl2tpajh07Znh9fHw8d9xxh+Fh5VV1nqhz8c2TwzSNRioG\nOmSBhxdH8/c3OUi1zzALfA3BUHJyMuPj4wYxpbGxMcbGxlhRsYajF1/CojkxEQomo6OjgxUS3d2J\n0vYMj/seYlgPPUCKBs/h8AWOwy0MMmAKo+sBMfZ4Prz9i9jDZjh0TUVpex7PucfQRoyFCABEC3Le\n+7GU/SNSdE7k/wGrKUA7XpdipnFEoddjTJ7G/Dr7OrxUDymUOE3B5A9mthYLzi6YzUiX6hA7Q3Oy\nY+ZoLsTHEa96SYtJJnPvnwyqos8WxaNOdMTXt49S3u9GqVgdqJgvMAKduGWYUjaiuzrQ3UamBJoX\nte8o6sBJxOh8REvohhwXnYhjSndB1f34pBHsWlJAqEVTGYvNYkALFZEyoiTK4gLXRMuYyh8bQrOq\ndpPAw+XRwUBB8/TgPfPFMEVgQDBhXfoYkqPAcKhS5evYfvQl5BMHEdTIToJ/4w48j34btWz5tF3/\nyWBo0aJF8xIMaTlFmF7fizAeCMYEXUfs66KneLlBOd7hcJCRkcFQRxupL/+e13KMdO+ysrKFo3vP\nBEFAy12Ef9Nd4HUjNtcihFGfBU1Dqq3C9NputIQk9PScOVmLheP8pVCxYcQ1wLqy7XMOnlVV5eWX\nX474jdauXTutKOK1IKSAHbA/00ZqQJ9SfBqtDRSfTNGIjvx5TeSmC4RO1OznTMOkqJfO2xOHyTIb\nk31T1r2Ycx80rF1NUXYqRFsqpvQ7EUzRAaFD3ThKoY83BxhDgoQYswhBmLmKL8jRoLrQhkOFVSVR\nxFqvIiogDvbiv+WOWUXx1P5jKJf+aFizlH0eKeoaFfFvIKxWK/X1oYLg8PBwhDbJfCZOPp+PEydO\ncPDgwQhLKACbzcaGDRtYt27dgjBl8lPL6BpoNWgr9I10oqj+a9ZXmITp2D6s//tjw5qWlo37898H\nS0hbQFH9HDq3k6cO/oyugdapu8Eq29m+6t28ff2HiXdM3wUym83k5eWRnp5OX1+fQX8FAjFDXV0d\ng4ODJCcnT+vgMglBEMhzmHihJVQ4HPTppNgkFk3jhPFWQr0w0HWdc83HeWLvj6hrr4pgboiCyNrS\n23nPrZ8iO7lw3gvgyTaJNLvEoc5QwuVR4WSvj9szrRFir1Mx3Xmh6zp/PvRfDIyF4pHEmDTu3fCR\nadXH3yywW6PJSMijqvF1dCYbOio1bWeoyF0TLHBdKaaODY3i4JuuT+EndJ3907IY1l1GGPBKIQgC\naQk5rCjahKL66ehvCn4uCPxOLT11nGl4DYfNSbIzI3h+ybJMRkYG9fX1EeO52dnZ2GxX911cDRY8\nof5VbahqECOHkoWuri727NljuChtNht33XVX8IGl6zpHun186fgQh7p8qFPiHwG4J8fKY6uc3JRo\nntNg/NUEQ4IgkJmZSVdXF2NjobnZgYEB7NYoRKtG72AXNj1UGfL7/RQXB2iG6uAZOrsu8Fvfu0LH\noWusGDqNhIYfF73yBfSwDqnZZOFD2/6RhNhQd18dPIvn7NdRu/aAFjkPKyXfgnXJ1zElrplVyXYS\niVaJO7OtpNolLgz4DXQagPZxleeb3XhUndI4E/JE0puWljb77MJU2rd7gKfzbyXBXU+54CDpTEgJ\nvNdm4kB2qIr0UHUfdhW8jzyGHrOwwizhEOQYpJRbER2FgYRBMSpU6t6+QCfO2z9BAw/QrNOn6S6o\n+PALLux6IgICY6pAp8UYeNw+MQP2aqeXo2HWEMsSzWzPCtwAdMWF98w/obuN/uHm0s9gSloXOvbu\ndqyP/zOWZ/8nmLyGQ80rxvPIYyhb3mEInGbCvAVDkoQWn4R8fH9wSexuQy9eQu1wqEAgiiKLFi3C\nf+oI9oun2VewGj3sWr755puv603RALMFdela1OU3I7Y3IfYbxf4E9zjy8QOItWdR80vAMTcFbGd0\nIkcv7EKbqAR7/W6KMirmVNHXdZ2DBw/S2moMdktKSha0ky+IJqS4mzAlb0b3dKG7pojPGEQf8xGt\n82M1MjUQcnvH+cP+f8evBq6bjbHjLHMYz1EpYTWW0s8FE/v5KMqGQxBEpNhSTGm3g38Ybcyoro6u\noA2eRul5FcGWiWifmYonOhbh73wlNLIjCWgyWNsmutbxSTPqSOiagvfsN8Afuu6l+OWzixT+FcDh\ncNDQ0BAcQdF1HbPZbGBezEfipOs6DQ0N7Nq1y8BCm4QgCFRUVLB161aSk69OrXouEASB4qybqG2v\nMijgtvTU4YxKIC1h+uL4XCE2XMD6468ghM2I6tExuL/4Q4gLXae1bZX8bu+POH/pBNo0dkfLizby\n0G2Pkp9WNqeEw+FwUFJSgtVqpaenxzCaAgEV90mGYnJy8rRq7gCJNon2cYXGkdD2F4cU7sm1BuOS\nSbyVUM8/ugfbeOrgz3nt/EsG55lJ5KaU8NCWR1lWuGFBadIFMSY0XaeyP3zUTqdhROHWdMusOcB0\n50VdexUHqoy6NPdt+BhJ80CdXmjEO5Jx2GOpaQ1pMPn8Hpq7L7I0fz3SFY6LTDc29EvPg1zQQuNS\n719k54H8hRu9k01mijKXUJqzgt6hDobGjcLMXr+HC5feoKnrIhmJeURPNF5sNhvx8fEGl5Pw8dwr\n0W24Fix4Qv3rmlDgvCHNwuZ0KyMjI+zcudOgoC1JEnfccUewA9o2pvCd06P8ttbF2DSdhNI4E4+t\njuVtufbL+hJOxdUEQ5PUgubmZsOcaUdHB6X5FVzoPkKMFuqiTap9m81mlK79HOyP4rgamglP8g+w\nyN2Mip8e0zlUIZRUCQi8e/PD5KWVAhM0jJp/x1//X+CPFEcR7NlYF38Rc867EExzE7AJfRcCRbEy\nd+XY8Gk6NUPKFP1rODvg55VWD4lWkVyHdNnZhcSyCqRX/oQ48UB2+F3sS9+MqFSxclwivjE0H1cX\nZ6UyOXDMJf1uNrWPotx6zxWp284XAp24rAANXJQDDICpc/ej9fg7XkaQ7IiOgP3adN0FRXCjo2HT\n45A1P7X2kLher1vlXQV2TKLA0w0uGsMC/B3ZVpYkmNF1Fe/576ANnTO8v5zzLszZDwT+8How/+U3\nWH/xLaSOKaMMBAIm73s/je8Dn0VPuPJ5kvkIhvS0bKQLpxH7QyJDjv5OTjgzgx1dr9fLkiVLEPY/\nT5vHT0MY3dvpdLJixYobnhzosfEot9yJlpyBWH8ewWtM4MTeTuQDzyO4xlELyy6rSm+STHQOttA7\nFGJEWGQbRXOgfZ85c4Zz54znRXp6OrfddtuMAel8QpAdmFJuRXQUTV988g2gdL581QrYUzE1ENp3\n5lkaOgP3kMV2N1vjje8vROViXfoYgmRZkKKsYXuTDVPSeqS4ZWijDeg+I2MA/yhq9z60sUbEmOJp\n7asEyYwgWVH7Q4wFJV7A0qIheSZo35vvnvb9lbbnUbv3ha2IWCv+H6Ll+hUjFwKCIKDrOm1tIa2N\n4eFhysvLg/eCa02c+vv72bNnD+fOnTPEIpNIT09n+/btFBUVzVkp/1pgkkwUZ95EVdPr+MJoj3Xt\nVeSkFF+1F67Q3x1Q9HaFntW6ZML9999DzwmMoA2MdPPnw4+z78yzuH3jEftIT8jlwdseYU3JFszy\nlQsdJicnU1xcjMfjMTD9IBD4dnR00NDQQExMzIw0zRKnzF+a3cFr2K3qiAIsn6L2/FZCPX/w+Fzs\nOvkU//fafxvEHyfhsDt5+7q/4Y5V78Fhuz702qUJMpfGVJrD4qb2cZVxRWdN8szn5tTzQtUUfr/v\nJwZx2fy0MrYsu/+GxxtzRXpCLl6fm9be0Pz3qHuYvpFOFufO3RVlurGhFi2dn3g/gj5hibcpzcJn\nljiuy3cTbYtlWeEGkpzptPbWRxRxhsb7eKP2AG7vOJlJBcgmM7GxsciybHhm+Hw+uru7KSgouC6x\n0XVNqN9TaCfbpvPiiy8aOr0AmzdvJjs7G5ei8T8Xx/nO6ZEI83AIDMM/WuHgkQpHkDp+tbjSYEi2\nOcnMzKS+vt6QXPT1DGKJAcWDgfYdFRVFSkoK/oY/8MfR1bTqoYS70H2JJH8vvdIF/KLxAbZ95btZ\nUbQRXfPjb3km4Ac3ahQqA0CyYy74EJbSv0e0Xxsl1iIJrEm2cEuaheZRxTCvBOBSdA52eqns97PI\nKZNgM808u5CWTuxQD6awJG/E7KQ2zs/Nl7qJHwhdtCdTomh0BgLut9cPkqSb8Tz62Jw6qQuFQCdu\nCaaUW9G9PeiuKbQ3zYfafxy17xhidB6SLTnQXWirYswT6i74xFEk3YJDM9Ngy8Y/4XGt6rAkQSbd\nLvHTc2O4woY4P1QcRYpdwlf/36hduw1vKyWtx1z8CAIgnTyE7UdfwnTmSHBefRK6IOLf8nY8jzyG\ntqjiiqnIhu/iWoMhQUDLykM+ELJgkEaHcUfF0mV3BvdRUFBA7Et/4Hh8DsO2kMVeWVkZ6elvkmqx\nIKBlF+DffDcoCmLTxaA1GAQo7VL9eUyHX0GPjUfLzL/Mdy9wvjkkDjQ8PsC6stnVvhsbG3nttdcM\na7GxsezYseO6VWEnIdozMaXvAOlyoo/WK1LAnorwQGhwtJc/HfoFuq6RafFxb9IwhgaV7AxoC1ji\nFrQoOxWiNRlT+h0I5njU4QugGedvdVdrgPmka4HEWjR2D8ToQpSeQ+CfoBsLAqpDwNqoIQ724d+w\nHaIcxn36R/Gc+5ZBjNKUfgdy+h3X9FneLHA6nZw/fz5I4/P7/cTHxxMXFygWXG3i5PV6OXbsGIcO\nHYqIQyDw3N64cSOrV6++7swYq9lGbmoxlQ1HgqKFk0rKZTkrDeNfc4Lbhe37n0fqMY4yeT/yD6jL\nN+BTvOw/8xf+9OovDJoOk7Bbotmx5r3cs/aDOKOvLUmVZZnc3FyysrLo7+/H5TKOaHi9XhoaGujr\n6yM5OTnCoSBKFvGqOlUDoeLHxUE/27OsRIXN0L6VUF87NF3jTMNrPLH3RzR2XjDQbwEkUWLD4h28\ne/OnyEjMva4JqCAIrE228Eavj76wccXqQYU4i0jJNGMAEHleGMeGAo2sB297BId9biyzNwsK0hbT\n0d9M/0ioadE73IGmqRSkz02UcrqxoR94Pk67HmAEFTtNfHu1E/kytPr5hCAIpMRlsnLRZnRdp72v\n0cBo1tFp62vgVP0h7BYHKfFZpCSn4HK56OsLdbbHx8cZGxsjN3fhz9PrmlA/Wh7Fa/v3GuYnAZYv\nX87ixYvZ3+HlS8eHOdbjCwoPTEIU4L58G99cFcviePO8fjFXEgzZk5eSlJxqmO/SNA2r6mRE78Sq\nhxIKr9dLSUkJrouP81Pvew1zCDeNnsMjnMMtGgXFlhdtZNuKd6EOnMJ79uuoPQdBj5yHNaVuwbLk\na5gSVszrvGKcReSOLCvZDhMXBv2GZA+gy63x/CU3o36Npcl2cjOnn10oKioiqvJIcC3Z3c+zeau4\nu+YkjrDu3sEsB712mXi3wv11A/jv/RBqxWreDBDkaEwpmxBjStBGawy0SgDdNxiwX3N3IceVU5K7\nNqK74BYGseqxuKREBuTQjTrWLJLtMPHb2lBQIYvwaIUDretl/I3/Y3gvMboA69JvInZ1YP3Pb2F5\n4QkEd2QnQS0qx/PotwJCRub5m3O5lmBIj0tE6GlHag0xQdLGBqhMLkCbGE1IdsaSuPcZ9hesNCSh\n69evv3F075kgm1ErVqGs3ITY2YLYa6TkCx43ppOHkCKmQzQAACAASURBVC6cQsspQndOH9wFaN+v\nBKmVXr+HwvTyGQPX3t5edu3aZXioWCwW7rrrLqKiroyZMl8QxEnRxy3o3j708RbjCwyijzlzVsAO\nR3gg9NzRX9M92EqspPBg8iAGO1pRxnrTt/FZc/h1zfUpyoZDEESkmEXIadvRlXG00QbjC3QVbagK\npfsAgjUFwZ4ZfI4JgohgTUHtPhB8ueoQkfs0TKM6ujMxUBwLg6/xt2iDIbofkg1Lxf+b1Wv7rwmS\nJDE+Pm4IjjweT1Aj4EoTJ13XqampYffu3QYNkEmIosjSpUvZsmULiYmJN6xLFWOPIzE2lfPNYYwF\n1U99+zmW5q+bO6VWU7H+7BuYaqsMy767HsJ357u50HKSJ/b+iJq2M5F2R4LA6pItPHjbI+SkLJrX\n7yIqKoqSkhKioqLo7u6OYD4NDw9z8eJFVFWNYD6VxJnY2eLBM9GmVnUY9unckhZ63ryVUF8bOvqb\n+eP+n3Ls4p4IgSiAwvRy3rvlsyzJXzv/KvRzhEkUWJdiZn+71xCjHu/xsTh+egX48PPC43Pxh32h\nsSEIxN6rim9d+IOfZwiCQEnWTdS0nWHcE9J/uNRTS1x0Emnxs1tIBcaGvhkq5gKnlHKe8N8HBFT2\nf7jeScw0lrrXAybJREH6YhbnrqZ/pJuBUWP+6Fe8XGw9RUPHOdLicygrrqC7u5vR0VC8PjAwgCiK\n8ybWOhOuW0Kd74Cc3rMGCyqA/Px8UstX882TIzzZ4I5I4CBA8fj2Kid3ZNsM/tXziSsJhmKTi4hK\nXERLSyh41FQdCTNSWNLscrlYlJfGxY4z7FS2BNctmpci1yuMSsaZrdyUEh5YfT9K7Y/xN/7acIJP\nQozOx1L+ZeSse+ekIns1EASB/BgTd+dY0fRAFdgoQQQXBhVeanGT6oxiVW4yjVOsxVrcfspbLyBN\nJAvRipvDqWt4R+PrSGEJwfOFcXhNIlsvDZNrduL9xJfhBt2kZ4JoT5/oxNkDNltTChzaWCNKx0tY\nLbHkF91DZePRUIAigFsYIFqLp8UWUqkd8+uk2kQOdYVu6BXxMnfG1OI9/13CvX8FczzWsm9g/ctT\nWB//LlJ35KyfFhuP94OfxffeT82YwM0HrjYY0vJKkPf9JTjDZ1L86AK0OgMaARmjfYwN9NOYEFJ1\nj4uLY8WKFQv2Wa4ZMU6Um7ehZuYj1V+IKHCI/T2YDryIMDKIWrg4osAhiSa6BtroGQr9nmbZyqLM\nJRFvNTY2xs6dOw1sEEEQ2L59e4Tn/Y1AQPRxI1LsYtSRullEH9sRY0uv6N41GQi19NTx8ok/YBE0\n3pM8iFM2JgHm0n/gVW8FXz4+zOvXuSgbDkGyYkpci5SwGm2sCd1rnANDGUPtOYg2UhPQ6ZADc2CC\nLQN1+IKBduePF7DVqgjjgVGYSWiuDnzV/0q4M4Gc9z5MiasW5DPdKERHR1NdHfKzHxsbIy8vD5vN\ndkWJU09PD3v27KG6uhpFiSxQZ2VlsX37dvLz868LvftySHZmIAoiTV2hz+7yjtHR30xF/po5zS+b\n//ifyIdfNqwpK26h7R0P8vThX3Do7At4/e6I7bKTC3nots+wctGmBZuHFQSBxMREiouLURTFUDSB\nQPGjq6uL+vp6oqOjcTqdCIKALApEywJHwnRHGkYU1qaYSZxwxngrob46uDxjvHTi9zx35NcMuyKd\nY5zRidx780fZuvx+oqyOafZwfWE3iSxLlNndFnJq0IHXurxsSLXgtBivkfDzYu/pZ4JjQxDQLHrw\ntkewyH+dxUiTJLMocylVja8biiC1bZXkppbgnGVcRGl/AbVrb/BvVRf4tvdRhvVYrBL823onmdE3\nPiaPsjpYmr+OtIQcWnsbIqzaRlyDnKw9yJh7mA0rt9Le1hExnhsXFxdkOC0ErltCfafcRt+USmlC\nYhLNGev4XtU4nS4tYttEq8jfL3Hwd4ujr8nv7Eow12Ao3jKA6lhKb19opllCRsWP+P+1d6/RbZVn\nvsD/795bV8vy/Rbf4thxEjuOnSvEScg9kJJSSocmQFmli1JamE5hTbuanrMC6emanp7COaudoQOl\ns6C3gXYx57QdGjIQQi/gBEggITcnduLETmLjq2TLtmRJe+/zQbEulhNsWbZl9//7BJKlvNt6vPU+\n7+V5EWqrRXHj/UELTmuhEvzlA+9A1o4gvNR1enIW7l04Dzj3NPSBS9ENU2wwlj0E48JvQLLkRj8/\nCQySwIosIzbkm3ClX0XrYGTy5FGBuo+9aPRasCbfBkd7aMmYx68izzeANFdoibBfJKHCeSn4//0G\nCftLUmHQdNxX3w39/sehFc9HIgocv1YJJW8LdG9P9Gek+6D2fADrwGlkF27BmbbQEn1daJD1q7hi\nWglNCnRQer063KqO1rC435rrw6Lm3ZHniQsjkv2fgfW5H0E5dSRiiTEA6LIM3613w/P170Kbt2hC\ny7vHKpbOEKw2CJ8X8rnQPSC3vwdnskvgVYwou3IO521ZEcu9KysrJ31EccKEgJ4/F76NOwAhQbpQ\nH7EEX0CHfPEsDH99Dbo1GVpRWcRnJAmBUyOXfVdGVvv2+XzYv39/VPXhdevWRR0lNN0kS961oo9J\nUHvPXqfo4/4xVcAe1tPTg7T0NPz2zz+Ba7AHd2X1osAcmRT1592DJ1rXT+ug7EiSKQNK3jYIS861\nlU+Rsz26uxX+q68BmgeSfSGEbICcPC/w2PDPmAUktw7ThS74arcGzz4fOvvjiHuQMGXBVPntqKXk\nM53FYkFbW1vE0mxd11FcXDymxMntduPw4cOoq6uLWlUDBOpEbNiwAStWrIDZPLG9/vFWnLMA3a52\ntDtCewId/Z0YcLtQXlB9wwEh5c9/hOk/fhbxmL+oFK+uX47/OPwielztUa+xmVPw6dVfxKdW3Qf7\nFC17VZTA1rGioiI4HI6ImixAYA9kU1MT2tvbkZWVBbPZjNIUBe+0DcHhDf2dt7hU3FZohhCCCfU4\naZqGow1/xkt/+jGa2xuinldkA9ZX34HP3/I15KYXJtT+4gyzjLnJSsQ55T4tMFO9pcAMc9i9fjgu\nwrcNDVtf/RksLKyZ0rbHm9loRXF2OT66cDhiu8i5y8dQOXclLKboVWyjbRt6w78Bb/g3QAB4ckUK\nlmYmzlncQghkpeRhZflGSJKMK50XolbXtHZfwvGL76BywRL0dXkiJn1aWlpQUFAwaSv6piShzhvq\nwLyPj0Q8Lput+ENyLd53CIzs/igC2Flmxd4VdixINUzLH3CwM2S+fmcoWzsKp7QQfWGDvOHJNAC4\nB5x421iNnmsVwJP8VzFv8CUIEbpqs8GIe3L6Yet9L2ofIiCgzNkOc9UTkNOqp+Vc0RSjhK0FJpSl\nGHDG4cPAiA5rp0fDX102LLD6IYcdzq6qKhZ0hWbxcwd7YA5bTn8pxYSjeTas/HgA1fZieO/9+ylJ\nCCdCKFYo2Wshpy6B6mqMLhLn60X64HHISXPR7Ap14HThR7r/Ej42LQeufYatIwaRPo8XkecPJeJK\nj4a0I1kw/eVPEJ7omQR/xTJ4Hvs+1Nqtn1gEazKMtzNkWFQD5e3XIIYCBSYkXYfV58H5zCJUNp/C\nBwUVEZ//2rVrE66Te12KAWrFMvhv3gSpoxVS+5WIp4V3CMrxQ5BPvAetsBR6emBWObDs+wBULZAg\nev0elOZVBEeUdV3HwYMHo5aoLlmyBDU1idkBCBR9rICSt+Va0ceLkT8QLPr4NoQl/4YVsIFAR6i1\ntxHv1h/A1jQXKpMi78UXTbX48tVdCTMoG04IATm5FIY526Fr3mtHkkSWfdR6T8P/8UEIUwaktBro\nQ53Q+kMrfnyZEiwNKpCcAW3BEqjOU/Bd+LeIf8e04O8h2xNzMHKiDAZDRPVWp9OJiooK9Pb2Xjdx\n0jQNZ86cwYEDB6K2mAGB5eTLli3Dxo0bg4VQE40QAuX5S3Dx43r0DoRmDFu7L8FiSkJhVumor5Pr\nj8H87P+IGHwdSrbjx1XpONV9Lmo/rCQkrK68Fbs2fh0FWfOmpb9ltVpRXl4Ou92O9vb2qFUELpcL\n9fX18Pl8yMnORpHdhDeuhAoVtbs1lNoVFCcrTKjHoaXjPF7+049xtOEvEWcaD1tUtAxf2Pw4KoqX\nQx7DyTHToShZgVkGjnaG2u/y6ah3+LClwAx5RBHD4W1Dw+zWNNy9/muQZ8FgZEpSOtKTs3Gm+Wjw\nMZ/qxYXW06gurYUiR+4vH7ltaFA34588/wAPzPhqRRJuL07MGXtZklGSuwjV81bDOdCFrt7I/pFf\n9eFC+ymYbQbIQ2HHDus6WlpaMG/evBse1RdzuyY7of5/p9uw2XkYctgogipk7LPXoltEjxKszDLi\n+zelYHN+9HEIUy2yMzQEzdWIiKW40DDH2IBWdwE86ugfjscncNS8BD7JAKPWiyV9P4UCd9h7AH+X\n2YU8uTfqtZJ9AUxVe2DIv33ClXInSgiB4mQFd8y1QBZAvcMXWTFXCNQjE7n+HiSpgUSy15SEpa3n\ngp+9ecTe9BNZVpxLt2Dn2W4YH9oDPWP8+yuni2TJCczEGexQ++qjjjErEJ1wqkZ0+kJfQka9Fwa9\nHz2G6JlkCRq+Jj8Hg1AhhnQkf+CH/bAK2RFd1V1Lz4bnwW/Bd/dXgCk8Wux6xtwZApBVOh+mjw4H\nn8sadKI5NQ/2oQFcSg+dm5tuT8ayFSum6hLix2aHf/UWqCXlkJvqo44xk5xdMPxlH0RPB9SySsiW\nJHQ4r0bMQhkVE8oLqgEAR44cwblz5yLeo7i4GOvWrUuomYLRCMUKJWsN5LQaaK7zoxR97LtW9PFi\nYIZ2lArYANDR2Y7/Ov5rVJq6sS41ctDmvFaKb/b9A/yI7AwlwqBsOCEboWSsgJK1GtpAC3TPiCRP\nHYTa+Q5U50koBXdA7XwntLVEEYAATI1O+DbuCBSp9IZW/kjJ5TCWf3Xar3GypKSkoKGhIViJW9M0\nWCwWKIoyauLU1taGAwcOoKGhIWpLCgCUlJRg27ZtmDt37pRUfp0IWZKxoGApTjcfiVjieL71FPIz\nS5Bhj1ytJj6+DMtT3wwOWgKAT5bwL4tTcdUYPeA0L68C9276BmpK10R1tqeaEAIZGRlYuHAhNE1D\nZ2d0Ven29nY0NjaiLCsZ7SIZVwdCn+85px93zLXA6WBC/Un63b3443u/wr73fg2XO7rvmWHPwd3r\nvooN1Z8ZdWYz0VSmGdDp0dDYG+p7tLs1dLk1rMk1BlcuDKgO/NeRlyNee/tN96Mgc97It5yxctIK\nAB241H42+NjgkAtt3c2oKrk5uF1ktG1DL3vvxFG1GtsLzXi4wpbw3ykWUxKqSm5GYWYprnQ1wT0U\n2T9webvhxxCseuh+4PP50NbWhrKysrhv75n0hLrt8H5YwmZ3dQB/TV2FTmPkmv4ci4TdS+14cGES\nUk2JNRIW6AytHLUzJAsNcyxtaO4vhF8ffYRrUDKjx5CMxa5/g1WL/JK4Na0Pi0bMuMCQAmP5IzCW\nPwLJPP37I8MpksDSTCO25JvR7lYji/4IgcvGXBQOtcGk+6BLEjIHncgcjL5hA0Bdvg0mVcPGnOXw\n3/b5UX8mkQVm4hYG9t37+iJmlYQASi0eNHuMcKmheE5Wr8AvWeFSIgtFzJeasMPwJsznVaS95YOx\nXcfIW5muGOC7/V54Hn0CetH8hJrNH2tn6NyQBouiIKv7avD6ih1tOFJYiT5zKKGqXFyV+Mu9b0DP\nLYRvww7oRhPkC2cgRnTs5eZGGP7yR8Bkhl6yECebw5Z99/egtuJWNDY24r333ot4XXp6Om677TYo\nyswZTQ8VfUyD2lv/CRWwF0KMmAl5++Q+wHUMn87oiwj5Di0d33HvxgAiO3yJNCg7kjCmQcndCsla\nAK33LKBGrjzRPe1Q29+CZCuL2G7kyxCwHOvCUJkN/q43I15jWvydmIq9zRRCiGAnaFhfXx9yc3Mj\nEqeBgQHU1dXh3XffhdsdvaInNTUVmzZtQk1NTVQF6URmNJhQmleJj5oOBVeyAMC5y8ewoHBp8CxW\n9PfB+r/+EZIj8t77y4oMNKZHzjSlJKXjzjUPYtvyu2GbouOOxkqWZRQUFKCkpAROpzOiuBAQ6BBf\nunQJOcKNE8gJTnG4fDrsBgm5uosJ9XWomh/v1b+Jl//0L7jS1RT1vFExYdPSz+Fz674yI85iHiaE\nwKpsI050+yJOqDnf54dFEVicbkR3dzcOnHgZfWGrKOdkFOP2m+9P+MRxvObmLkRXX1tEfZYeVwfc\nQwPBwfqR24Y6tHQ8NfQ1LM4w48kVKZAT7LvzRjLsOVhRvgFGgxlXOs9D1UL9LZ8YgIAEk24PPuZ2\nu+FwODBvXnxX5Ex6Qn3qaGSH8ENbJS5aQsmEQQLun2/FnuUpKE1REjqwr9cZMso+ZJm7cbG/KHhm\nWzij5oWsHkKaP/LoqxXJA1iTEr6vS4JS8GmYq/ZATq1I6N9FslHCpnwzFqUpOOvwo+/asTSqkNFm\nzMZczxUo0KAJgYVd0WckA8D+klSsbx1E+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       "text": [
        "<matplotlib.figure.Figure at 0x7feadc410490>"
       ]
      }
     ],
     "prompt_number": 144
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}