takeaway1.ipynb

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   "source": [
    "# Takeaway 1:\n",
    "## Section 1: Business Understanding\n",
    "First, I have check all the questions in the survey and the structure of the answers to know more about the business and also, to know what are the potential question I can ask\n",
    "### Question: \n",
    "What are the benefits that people who have been coding for the longest time enjoy the most? and, Do them change over the time?\n"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
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   "source": [
    "%matplotlib inline\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from utils import *"
   ]
  },
  {
   "source": [
    "## Section 2: Data Understanding "
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "### Gathering"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
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   "cell_type": "code",
   "execution_count": 2,
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   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "(51392, 154)"
      ]
     },
     "metadata": {},
     "execution_count": 2
    }
   ],
   "source": [
    "df = pd.read_csv('./data/survey-results-public.csv')\n",
    "df.shape"
   ]
  },
  {
   "source": [
    "Getting only the columns that we are interested in"
   ],
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   "metadata": {}
  },
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   "execution_count": 3,
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      "text/plain": [
       "(51392, 2)"
      ]
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "source": [
    "df = df[['YearsCodedJob', 'ImportantBenefits']]\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "       YearsCodedJob ImportantBenefits\n",
       "count          40890             30235\n",
       "unique            21              3530\n",
       "top     1 to 2 years     None of these\n",
       "freq            5289               653"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>YearsCodedJob</th>\n      <th>ImportantBenefits</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>40890</td>\n      <td>30235</td>\n    </tr>\n    <tr>\n      <th>unique</th>\n      <td>21</td>\n      <td>3530</td>\n    </tr>\n    <tr>\n      <th>top</th>\n      <td>1 to 2 years</td>\n      <td>None of these</td>\n    </tr>\n    <tr>\n      <th>freq</th>\n      <td>5289</td>\n      <td>653</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "0         Stock options; Vacation/days off; Remote options\n",
       "1                                                      NaN\n",
       "2                                                      NaN\n",
       "3        Stock options; Annual bonus; Health benefits; ...\n",
       "4                                                      NaN\n",
       "                               ...                        \n",
       "51387    Vacation/days off; Health benefits; Private of...\n",
       "51388                                                  NaN\n",
       "51389                                                  NaN\n",
       "51390    Equipment; Education sponsorship; Expected wor...\n",
       "51391    Annual bonus; Vacation/days off; Health benefi...\n",
       "Name: ImportantBenefits, Length: 51392, dtype: object"
      ]
     },
     "metadata": {},
     "execution_count": 5
    }
   ],
   "source": [
    "df['ImportantBenefits']"
   ]
  },
  {
   "source": [
    "**I will need to prepare data for ImportantBenefits as well** because it is a multiple choice question"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Section 3: Data preparation"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "### Wrangling"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "There are enough values (IMO) in Important Benefits for this analysis so I can drop the NAN ones"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "       YearsCodedJob ImportantBenefits\n",
       "count          24993             24993\n",
       "unique            21              3208\n",
       "top     1 to 2 years     None of these\n",
       "freq            3059               422"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>YearsCodedJob</th>\n      <th>ImportantBenefits</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>24993</td>\n      <td>24993</td>\n    </tr>\n    <tr>\n      <th>unique</th>\n      <td>21</td>\n      <td>3208</td>\n    </tr>\n    <tr>\n      <th>top</th>\n      <td>1 to 2 years</td>\n      <td>None of these</td>\n    </tr>\n    <tr>\n      <th>freq</th>\n      <td>3059</td>\n      <td>422</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 6
    }
   ],
   "source": [
    "df = df.dropna()\n",
    "df.describe()"
   ]
  },
  {
   "source": [
    "Due I removed NAN in both columns (any), the final result is ~25k, less than what I thought but still enough"
   ],
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   "execution_count": 7,
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xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"443.701172\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"504.980469\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"546.09375\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"60.379911\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 to 3 years -->\n      <g transform=\"translate(63.139286 291.45875)rotate(-90)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 40.578125 39.3125 \nQ 47.65625 37.796875 51.625 33 \nQ 55.609375 28.21875 55.609375 21.1875 \nQ 55.609375 10.40625 48.1875 4.484375 \nQ 40.765625 -1.421875 27.09375 -1.421875 \nQ 22.515625 -1.421875 17.65625 -0.515625 \nQ 12.796875 0.390625 7.625 2.203125 \nL 7.625 11.71875 \nQ 11.71875 9.328125 16.59375 8.109375 \nQ 21.484375 6.890625 26.8125 6.890625 \nQ 36.078125 6.890625 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x=\"443.701172\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"504.980469\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"546.09375\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"140.094196\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- Less than a year -->\n      <g transform=\"translate(142.853571 314.305625)rotate(-90)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 9.8125 72.90625 \nL 19.671875 72.90625 \nL 19.671875 8.296875 \nL 55.171875 8.296875 \nL 55.171875 0 \nL 9.8125 0 \nz\n\" id=\"DejaVuSans-76\"/>\n        <path d=\"M 54.890625 33.015625 \nL 54.890625 0 \nL 45.90625 0 \nL 45.90625 32.71875 \nQ 45.90625 40.484375 42.875 44.328125 \nQ 39.84375 48.1875 33.796875 48.1875 \nQ 26.515625 48.1875 22.3125 43.546875 \nQ 18.109375 38.921875 18.109375 30.90625 \nL 18.109375 0 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x=\"167.585938\" xlink:href=\"#DejaVuSans-115\"/>\n       <use x=\"219.685547\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"251.472656\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"290.681641\" xlink:href=\"#DejaVuSans-104\"/>\n       <use x=\"354.060547\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"415.339844\" xlink:href=\"#DejaVuSans-110\"/>\n       <use x=\"478.71875\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"510.505859\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"571.785156\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"603.572266\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"662.751953\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"724.275391\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"785.554688\" xlink:href=\"#DejaVuSans-114\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"156.037054\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 9 to 10 years -->\n      <g transform=\"translate(158.796429 297.82125)rotate(-90)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-57\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"134.619141\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"195.800781\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"227.587891\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"354.833984\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"386.621094\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"445.800781\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"507.324219\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"568.603516\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"609.716797\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"171.979911\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 6 to 7 years -->\n      <g transform=\"translate(174.739286 291.45875)rotate(-90)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 8.203125 72.90625 \nL 55.078125 72.90625 \nL 55.078125 68.703125 \nL 28.609375 0 \nL 18.3125 0 \nL 43.21875 64.59375 \nL 8.203125 64.59375 \nz\n\" id=\"DejaVuSans-55\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-54\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"134.619141\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"195.800781\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"227.587891\" xlink:href=\"#DejaVuSans-55\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"322.998047\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"382.177734\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"443.701172\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"504.980469\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"546.09375\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_10\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"187.922768\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 to 11 years -->\n      <g transform=\"translate(190.682143 304.18375)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"354.833984\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_11\">\n     <g id=\"line2d_11\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"203.865625\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 7 to 8 years -->\n      <g transform=\"translate(206.625 291.45875)rotate(-90)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 31.78125 34.625 \nQ 24.75 34.625 20.71875 30.859375 \nQ 16.703125 27.09375 16.703125 20.515625 \nQ 16.703125 13.921875 20.71875 10.15625 \nQ 24.75 6.390625 31.78125 6.390625 \nQ 38.8125 6.390625 42.859375 10.171875 \nQ 46.921875 13.96875 46.921875 20.515625 \nQ 46.921875 27.09375 42.890625 30.859375 \nQ 38.875 34.625 31.78125 34.625 \nz\nM 21.921875 38.8125 \nQ 15.578125 40.375 12.03125 44.71875 \nQ 8.5 49.078125 8.5 55.328125 \nQ 8.5 64.0625 14.71875 69.140625 \nQ 20.953125 74.21875 31.78125 74.21875 \nQ 42.671875 74.21875 48.875 69.140625 \nQ 55.078125 64.0625 55.078125 55.328125 \nQ 55.078125 49.078125 51.53125 44.71875 \nQ 48 40.375 41.703125 38.8125 \nQ 48.828125 37.15625 52.796875 32.3125 \nQ 56.78125 27.484375 56.78125 20.515625 \nQ 56.78125 9.90625 50.3125 4.234375 \nQ 43.84375 -1.421875 31.78125 -1.421875 \nQ 19.734375 -1.421875 13.25 4.234375 \nQ 6.78125 9.90625 6.78125 20.515625 \nQ 6.78125 27.484375 10.78125 32.3125 \nQ 14.796875 37.15625 21.921875 38.8125 \nz\nM 18.3125 54.390625 \nQ 18.3125 48.734375 21.84375 45.5625 \nQ 25.390625 42.390625 31.78125 42.390625 \nQ 38.140625 42.390625 41.71875 45.5625 \nQ 45.3125 48.734375 45.3125 54.390625 \nQ 45.3125 60.0625 41.71875 63.234375 \nQ 38.140625 66.40625 31.78125 66.40625 \nQ 25.390625 66.40625 21.84375 63.234375 \nQ 18.3125 60.0625 18.3125 54.390625 \nz\n\" id=\"DejaVuSans-56\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-55\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"134.619141\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"195.800781\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"227.587891\" xlink:href=\"#DejaVuSans-56\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"322.998047\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"382.177734\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"443.701172\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"504.980469\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"546.09375\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_12\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"219.808482\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 8 to 9 years -->\n      <g transform=\"translate(222.567857 291.45875)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-56\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"134.619141\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"195.800781\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"227.587891\" xlink:href=\"#DejaVuSans-57\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"322.998047\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"382.177734\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"443.701172\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"504.980469\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"546.09375\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_13\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"235.751339\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 11 to 12 years -->\n      <g transform=\"translate(238.510714 304.18375)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"354.833984\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_14\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"251.694196\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 15 to 16 years -->\n      <g transform=\"translate(254.453571 304.18375)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"354.833984\" xlink:href=\"#DejaVuSans-54\"/>\n       <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_15\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"267.637054\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 14 to 15 years -->\n      <g transform=\"translate(270.396429 304.18375)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-52\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"354.833984\" xlink:href=\"#DejaVuSans-53\"/>\n       <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_16\">\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"283.579911\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_16\">\n      <!-- 12 to 13 years -->\n      <g transform=\"translate(286.339286 304.18375)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"354.833984\" xlink:href=\"#DejaVuSans-51\"/>\n       <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_17\">\n     <g id=\"line2d_17\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"299.522768\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_17\">\n      <!-- 16 to 17 years -->\n      <g transform=\"translate(302.282143 304.18375)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-54\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"354.833984\" xlink:href=\"#DejaVuSans-55\"/>\n       <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_18\">\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"315.465625\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_18\">\n      <!-- 17 to 18 years -->\n      <g transform=\"translate(318.225 304.18375)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" 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xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_20\">\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"347.351339\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_20\">\n      <!-- 19 to 20 years -->\n      <g transform=\"translate(350.110714 304.18375)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-57\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-50\"/>\n       <use x=\"354.833984\" xlink:href=\"#DejaVuSans-48\"/>\n       <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_21\">\n     <g id=\"line2d_21\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"363.294196\" xlink:href=\"#mebc5428c1a\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_21\">\n      <!-- 18 to 19 years -->\n      <g transform=\"translate(366.053571 304.18375)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-56\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n       <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n       <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n       <use x=\"354.833984\" xlink:href=\"#DejaVuSans-57\"/>\n       <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n       <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n       <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n       <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n       <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_22\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m005d40db27\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"36.465625\" xlink:href=\"#m005d40db27\" y=\"224.64\"/>\n      </g>\n     </g>\n     <g id=\"text_22\">\n      <!-- 0.00 -->\n      <g 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "years_code_job_ratio = df['YearsCodedJob'].value_counts()/df.shape[0]\n",
    "years_code_job_ratio.plot(kind='bar');"
   ]
  },
  {
   "source": [
    "With this plot, I'm checking the YearCodedJob distribution, and **I realized that I will need to treat the data later** because there are more people with less experience than with high experience. And this make sense. The hype of software developing has no more than 1 or 2 decades."
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "First, I will create a new Dataframe with the unique responses as index"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "defaultdict(<function utils.count_options.<locals>.<lambda>()>,\n",
       "            {'Stock options': 3801,\n",
       "             'Annual bonus': 8214,\n",
       "             'Health benefits': 11919,\n",
       "             'Equipment': 10094,\n",
       "             'Private office': 2713,\n",
       "             'Professional development sponsorship': 9619,\n",
       "             'Education sponsorship': 4001,\n",
       "             'Remote options': 13651,\n",
       "             'Expected work hours': 11243,\n",
       "             'Vacation/days off': 14730,\n",
       "             'Long-term leave': 3525,\n",
       "             'Child/elder care': 2172,\n",
       "             'Meals': 3530,\n",
       "             'Retirement': 6747,\n",
       "             'Charitable match': 628,\n",
       "             'None of these': 490,\n",
       "             'Other': 721})"
      ]
     },
     "metadata": {},
     "execution_count": 8
    }
   ],
   "source": [
    "benefits_options = count_options(df['ImportantBenefits'])\n",
    "benefits_options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "takeaway1 = pd.DataFrame(index=benefits_options.keys())"
   ]
  },
  {
   "source": [
    "Then I need to iterate per each of the YearCodedJob options, filtering the initial DataFrame by them, and then, it is necesary to run again the function to get the options in ImportantBenefits and the count of each of them.\n",
    "Also, **it is important to devide by the number of people** that replyed the questions, In this way we can have the percentage of people with a certain years of experience and the benefits preference"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "                                      1 to 2 years  2 to 3 years  \\\n",
       "Stock options                             0.136973      0.135242   \n",
       "Annual bonus                              0.329519      0.343470   \n",
       "Health benefits                           0.472377      0.486583   \n",
       "Equipment                                 0.391304      0.410733   \n",
       "Private office                            0.095129      0.094097   \n",
       "Professional development sponsorship      0.402092      0.412165   \n",
       "Education sponsorship                     0.226218      0.186047   \n",
       "Remote options                            0.488722      0.513059   \n",
       "Expected work hours                       0.424975      0.427907   \n",
       "Vacation/days off                         0.559006      0.583542   \n",
       "Long-term leave                           0.146453      0.147406   \n",
       "Child/elder care                          0.080745      0.081216   \n",
       "Meals                                     0.211507      0.198569   \n",
       "Retirement                                0.227852      0.239714   \n",
       "Charitable match                          0.028441      0.027907   \n",
       "None of these                             0.025499      0.020394   \n",
       "Other                                     0.021903      0.025760   \n",
       "\n",
       "                                      3 to 4 years  4 to 5 years  \\\n",
       "Stock options                             0.135672      0.149610   \n",
       "Annual bonus                              0.332629      0.342593   \n",
       "Health benefits                           0.488166      0.469786   \n",
       "Equipment                                 0.416314      0.421053   \n",
       "Private office                            0.092984      0.098441   \n",
       "Professional development sponsorship      0.419696      0.413743   \n",
       "Education sponsorship                     0.177092      0.167154   \n",
       "Remote options                            0.513102      0.537524   \n",
       "Expected work hours                       0.442519      0.454678   \n",
       "Vacation/days off                         0.597210      0.605750   \n",
       "Long-term leave                           0.151733      0.149123   \n",
       "Child/elder care                          0.082840      0.090643   \n",
       "Meals                                     0.184700      0.154483   \n",
       "Retirement                                0.237532      0.260721   \n",
       "Charitable match                          0.025359      0.026803   \n",
       "None of these                             0.016484      0.016569   \n",
       "Other                                     0.021978      0.020955   \n",
       "\n",
       "                                      20 or more years  5 to 6 years  \\\n",
       "Stock options                                 0.175917      0.149671   \n",
       "Annual bonus                                  0.295837      0.337719   \n",
       "Health benefits                               0.515362      0.466557   \n",
       "Equipment                                     0.363726      0.411732   \n",
       "Private office                                0.174430      0.097588   \n",
       "Professional development sponsorship          0.272547      0.382675   \n",
       "Education sponsorship                         0.082260      0.164474   \n",
       "Remote options                                0.621407      0.550439   \n",
       "Expected work hours                           0.444500      0.446820   \n",
       "Vacation/days off                             0.573835      0.589364   \n",
       "Long-term leave                               0.075322      0.161732   \n",
       "Child/elder care                              0.054014      0.090461   \n",
       "Meals                                         0.040634      0.143640   \n",
       "Retirement                                    0.381566      0.256579   \n",
       "Charitable match                              0.028741      0.029057   \n",
       "None of these                                 0.026264      0.020833   \n",
       "Other                                         0.054014      0.031798   \n",
       "\n",
       "                                      Less than a year  9 to 10 years  \\\n",
       "Stock options                                 0.129790       0.172272   \n",
       "Annual bonus                                  0.321384       0.345365   \n",
       "Health benefits                               0.487639       0.478261   \n",
       "Equipment                                     0.379481       0.423298   \n",
       "Private office                                0.098269       0.117309   \n",
       "Professional development sponsorship          0.375773       0.374897   \n",
       "Education sponsorship                         0.229295       0.132075   \n",
       "Remote options                                0.452410       0.560295   \n",
       "Expected work hours                           0.448702       0.439705   \n",
       "Vacation/days off                             0.555006       0.607055   \n",
       "Long-term leave                               0.155130       0.141920   \n",
       "Child/elder care                              0.072930       0.105824   \n",
       "Meals                                         0.210754       0.109106   \n",
       "Retirement                                    0.211372       0.260049   \n",
       "Charitable match                              0.032138       0.018048   \n",
       "None of these                                 0.016069       0.018048   \n",
       "Other                                         0.019778       0.036095   \n",
       "\n",
       "                                      6 to 7 years  10 to 11 years  ...  \\\n",
       "Stock options                             0.153078        0.174693  ...   \n",
       "Annual bonus                              0.331947        0.333333  ...   \n",
       "Health benefits                           0.488353        0.466478  ...   \n",
       "Equipment                                 0.421797        0.401322  ...   \n",
       "Private office                            0.106489        0.098206  ...   \n",
       "Professional development sponsorship      0.401830        0.387158  ...   \n",
       "Education sponsorship                     0.148918        0.144476  ...   \n",
       "Remote options                            0.552413        0.605288  ...   \n",
       "Expected work hours                       0.479201        0.451369  ...   \n",
       "Vacation/days off                         0.611481        0.595845  ...   \n",
       "Long-term leave                           0.148918        0.151086  ...   \n",
       "Child/elder care                          0.095674        0.117092  ...   \n",
       "Meals                                     0.123128        0.095373  ...   \n",
       "Retirement                                0.243760        0.298395  ...   \n",
       "Charitable match                          0.020799        0.025496  ...   \n",
       "None of these                             0.019135        0.015109  ...   \n",
       "Other                                     0.018303        0.023607  ...   \n",
       "\n",
       "                                      8 to 9 years  11 to 12 years  \\\n",
       "Stock options                             0.158537        0.155709   \n",
       "Annual bonus                              0.314634        0.337370   \n",
       "Health benefits                           0.452439        0.484429   \n",
       "Equipment                                 0.423171        0.408304   \n",
       "Private office                            0.092683        0.089965   \n",
       "Professional development sponsorship      0.435366        0.384083   \n",
       "Education sponsorship                     0.150000        0.107266   \n",
       "Remote options                            0.590244        0.603806   \n",
       "Expected work hours                       0.474390        0.453287   \n",
       "Vacation/days off                         0.620732        0.636678   \n",
       "Long-term leave                           0.147561        0.141869   \n",
       "Child/elder care                          0.109756        0.103806   \n",
       "Meals                                     0.124390        0.093426   \n",
       "Retirement                                0.268293        0.295848   \n",
       "Charitable match                          0.017073        0.019031   \n",
       "None of these                             0.013415        0.027682   \n",
       "Other                                     0.031707        0.029412   \n",
       "\n",
       "                                      15 to 16 years  14 to 15 years  \\\n",
       "Stock options                               0.196780        0.159633   \n",
       "Annual bonus                                0.304114        0.335780   \n",
       "Health benefits                             0.466905        0.434862   \n",
       "Equipment                                   0.382826        0.370642   \n",
       "Private office                              0.130590        0.130275   \n",
       "Professional development sponsorship        0.395349        0.368807   \n",
       "Education sponsorship                       0.128801        0.141284   \n",
       "Remote options                              0.604651        0.579817   \n",
       "Expected work hours                         0.457961        0.486239   \n",
       "Vacation/days off                           0.588551        0.585321   \n",
       "Long-term leave                             0.105546        0.141284   \n",
       "Child/elder care                            0.105546        0.097248   \n",
       "Meals                                       0.067979        0.069725   \n",
       "Retirement                                  0.345259        0.300917   \n",
       "Charitable match                            0.017889        0.022018   \n",
       "None of these                               0.016100        0.020183   \n",
       "Other                                       0.030411        0.022018   \n",
       "\n",
       "                                      12 to 13 years  16 to 17 years  \\\n",
       "Stock options                               0.173913        0.176344   \n",
       "Annual bonus                                0.316770        0.331183   \n",
       "Health benefits                             0.478261        0.466667   \n",
       "Equipment                                   0.418219        0.391398   \n",
       "Private office                              0.111801        0.156989   \n",
       "Professional development sponsorship        0.347826        0.320430   \n",
       "Education sponsorship                       0.091097        0.120430   \n",
       "Remote options                              0.600414        0.587097   \n",
       "Expected work hours                         0.515528        0.477419   \n",
       "Vacation/days off                           0.610766        0.591398   \n",
       "Long-term leave                             0.167702        0.131183   \n",
       "Child/elder care                            0.091097        0.107527   \n",
       "Meals                                       0.064182        0.060215   \n",
       "Retirement                                  0.312629        0.356989   \n",
       "Charitable match                            0.018634        0.015054   \n",
       "None of these                               0.012422        0.025806   \n",
       "Other                                       0.033126        0.038710   \n",
       "\n",
       "                                      17 to 18 years  13 to 14 years  \\\n",
       "Stock options                               0.176796        0.166205   \n",
       "Annual bonus                                0.295580        0.307479   \n",
       "Health benefits                             0.411602        0.423823   \n",
       "Equipment                                   0.403315        0.437673   \n",
       "Private office                              0.116022        0.108033   \n",
       "Professional development sponsorship        0.372928        0.379501   \n",
       "Education sponsorship                       0.088398        0.108033   \n",
       "Remote options                              0.616022        0.667590   \n",
       "Expected work hours                         0.505525        0.454294   \n",
       "Vacation/days off                           0.668508        0.587258   \n",
       "Long-term leave                             0.118785        0.144044   \n",
       "Child/elder care                            0.069061        0.091413   \n",
       "Meals                                       0.027624        0.083102   \n",
       "Retirement                                  0.339779        0.299169   \n",
       "Charitable match                            0.030387        0.011080   \n",
       "None of these                               0.008287        0.008310   \n",
       "Other                                       0.046961        0.038781   \n",
       "\n",
       "                                      19 to 20 years  18 to 19 years  \n",
       "Stock options                               0.161512        0.131086  \n",
       "Annual bonus                                0.281787        0.307116  \n",
       "Health benefits                             0.463918        0.501873  \n",
       "Equipment                                   0.415808        0.426966  \n",
       "Private office                              0.147766        0.161049  \n",
       "Professional development sponsorship        0.319588        0.265918  \n",
       "Education sponsorship                       0.113402        0.093633  \n",
       "Remote options                              0.567010        0.617978  \n",
       "Expected work hours                         0.484536        0.460674  \n",
       "Vacation/days off                           0.570447        0.599251  \n",
       "Long-term leave                             0.109966        0.097378  \n",
       "Child/elder care                            0.079038        0.078652  \n",
       "Meals                                       0.072165        0.071161  \n",
       "Retirement                                  0.367698        0.378277  \n",
       "Charitable match                            0.010309        0.022472  \n",
       "None of these                               0.027491        0.033708  \n",
       "Other                                       0.051546        0.052434  \n",
       "\n",
       "[17 rows x 21 columns]"
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>1 to 2 years</th>\n      <th>2 to 3 years</th>\n      <th>3 to 4 years</th>\n      <th>4 to 5 years</th>\n      <th>20 or more years</th>\n      <th>5 to 6 years</th>\n      <th>Less than a year</th>\n      <th>9 to 10 years</th>\n      <th>6 to 7 years</th>\n      <th>10 to 11 years</th>\n      <th>...</th>\n      <th>8 to 9 years</th>\n      <th>11 to 12 years</th>\n      <th>15 to 16 years</th>\n      <th>14 to 15 years</th>\n      <th>12 to 13 years</th>\n      <th>16 to 17 years</th>\n      <th>17 to 18 years</th>\n      <th>13 to 14 years</th>\n      <th>19 to 20 years</th>\n      <th>18 to 19 years</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Stock options</th>\n      <td>0.136973</td>\n      <td>0.135242</td>\n      <td>0.135672</td>\n      <td>0.149610</td>\n      <td>0.175917</td>\n      <td>0.149671</td>\n      <td>0.129790</td>\n      <td>0.172272</td>\n      <td>0.153078</td>\n      <td>0.174693</td>\n      <td>...</td>\n      <td>0.158537</td>\n      <td>0.155709</td>\n      <td>0.196780</td>\n      <td>0.159633</td>\n      <td>0.173913</td>\n      <td>0.176344</td>\n      <td>0.176796</td>\n      <td>0.166205</td>\n      <td>0.161512</td>\n      <td>0.131086</td>\n    </tr>\n    <tr>\n      <th>Annual bonus</th>\n      <td>0.329519</td>\n      <td>0.343470</td>\n      <td>0.332629</td>\n      <td>0.342593</td>\n      <td>0.295837</td>\n      <td>0.337719</td>\n      <td>0.321384</td>\n      <td>0.345365</td>\n      <td>0.331947</td>\n      <td>0.333333</td>\n      <td>...</td>\n      <td>0.314634</td>\n      <td>0.337370</td>\n      <td>0.304114</td>\n      <td>0.335780</td>\n      <td>0.316770</td>\n      <td>0.331183</td>\n      <td>0.295580</td>\n      <td>0.307479</td>\n      <td>0.281787</td>\n      <td>0.307116</td>\n    </tr>\n    <tr>\n      <th>Health benefits</th>\n      <td>0.472377</td>\n      <td>0.486583</td>\n      <td>0.488166</td>\n      <td>0.469786</td>\n      <td>0.515362</td>\n      <td>0.466557</td>\n      <td>0.487639</td>\n      <td>0.478261</td>\n      <td>0.488353</td>\n      <td>0.466478</td>\n      <td>...</td>\n      <td>0.452439</td>\n      <td>0.484429</td>\n      <td>0.466905</td>\n      <td>0.434862</td>\n      <td>0.478261</td>\n      <td>0.466667</td>\n      <td>0.411602</td>\n      <td>0.423823</td>\n      <td>0.463918</td>\n      <td>0.501873</td>\n    </tr>\n    <tr>\n      <th>Equipment</th>\n      <td>0.391304</td>\n      <td>0.410733</td>\n      <td>0.416314</td>\n      <td>0.421053</td>\n      <td>0.363726</td>\n      <td>0.411732</td>\n      <td>0.379481</td>\n      <td>0.423298</td>\n      <td>0.421797</td>\n      <td>0.401322</td>\n      <td>...</td>\n      <td>0.423171</td>\n      <td>0.408304</td>\n      <td>0.382826</td>\n      <td>0.370642</td>\n      <td>0.418219</td>\n      <td>0.391398</td>\n      <td>0.403315</td>\n      <td>0.437673</td>\n      <td>0.415808</td>\n      <td>0.426966</td>\n    </tr>\n    <tr>\n      <th>Private office</th>\n      <td>0.095129</td>\n      <td>0.094097</td>\n      <td>0.092984</td>\n      <td>0.098441</td>\n      <td>0.174430</td>\n      <td>0.097588</td>\n      <td>0.098269</td>\n      <td>0.117309</td>\n      <td>0.106489</td>\n      <td>0.098206</td>\n      <td>...</td>\n      <td>0.092683</td>\n      <td>0.089965</td>\n      <td>0.130590</td>\n      <td>0.130275</td>\n      <td>0.111801</td>\n      <td>0.156989</td>\n      <td>0.116022</td>\n      <td>0.108033</td>\n      <td>0.147766</td>\n      <td>0.161049</td>\n    </tr>\n    <tr>\n      <th>Professional development sponsorship</th>\n      <td>0.402092</td>\n      <td>0.412165</td>\n      <td>0.419696</td>\n      <td>0.413743</td>\n      <td>0.272547</td>\n      <td>0.382675</td>\n      <td>0.375773</td>\n      <td>0.374897</td>\n      <td>0.401830</td>\n      <td>0.387158</td>\n      <td>...</td>\n      <td>0.435366</td>\n      <td>0.384083</td>\n      <td>0.395349</td>\n      <td>0.368807</td>\n      <td>0.347826</td>\n      <td>0.320430</td>\n      <td>0.372928</td>\n      <td>0.379501</td>\n      <td>0.319588</td>\n      <td>0.265918</td>\n    </tr>\n    <tr>\n      <th>Education sponsorship</th>\n      <td>0.226218</td>\n      <td>0.186047</td>\n      <td>0.177092</td>\n      <td>0.167154</td>\n      <td>0.082260</td>\n      <td>0.164474</td>\n      <td>0.229295</td>\n      <td>0.132075</td>\n      <td>0.148918</td>\n      <td>0.144476</td>\n      <td>...</td>\n      <td>0.150000</td>\n      <td>0.107266</td>\n      <td>0.128801</td>\n      <td>0.141284</td>\n      <td>0.091097</td>\n      <td>0.120430</td>\n      <td>0.088398</td>\n      <td>0.108033</td>\n      <td>0.113402</td>\n      <td>0.093633</td>\n    </tr>\n    <tr>\n      <th>Remote options</th>\n      <td>0.488722</td>\n      <td>0.513059</td>\n      <td>0.513102</td>\n      <td>0.537524</td>\n      <td>0.621407</td>\n      <td>0.550439</td>\n      <td>0.452410</td>\n      <td>0.560295</td>\n      <td>0.552413</td>\n      <td>0.605288</td>\n      <td>...</td>\n      <td>0.590244</td>\n      <td>0.603806</td>\n      <td>0.604651</td>\n      <td>0.579817</td>\n      <td>0.600414</td>\n      <td>0.587097</td>\n      <td>0.616022</td>\n      <td>0.667590</td>\n      <td>0.567010</td>\n      <td>0.617978</td>\n    </tr>\n    <tr>\n      <th>Expected work hours</th>\n      <td>0.424975</td>\n      <td>0.427907</td>\n      <td>0.442519</td>\n      <td>0.454678</td>\n      <td>0.444500</td>\n      <td>0.446820</td>\n      <td>0.448702</td>\n      <td>0.439705</td>\n      <td>0.479201</td>\n      <td>0.451369</td>\n      <td>...</td>\n      <td>0.474390</td>\n      <td>0.453287</td>\n      <td>0.457961</td>\n      <td>0.486239</td>\n      <td>0.515528</td>\n      <td>0.477419</td>\n      <td>0.505525</td>\n      <td>0.454294</td>\n      <td>0.484536</td>\n      <td>0.460674</td>\n    </tr>\n    <tr>\n      <th>Vacation/days off</th>\n      <td>0.559006</td>\n      <td>0.583542</td>\n      <td>0.597210</td>\n      <td>0.605750</td>\n      <td>0.573835</td>\n      <td>0.589364</td>\n      <td>0.555006</td>\n      <td>0.607055</td>\n      <td>0.611481</td>\n      <td>0.595845</td>\n      <td>...</td>\n      <td>0.620732</td>\n      <td>0.636678</td>\n      <td>0.588551</td>\n      <td>0.585321</td>\n      <td>0.610766</td>\n      <td>0.591398</td>\n      <td>0.668508</td>\n      <td>0.587258</td>\n      <td>0.570447</td>\n      <td>0.599251</td>\n    </tr>\n    <tr>\n      <th>Long-term leave</th>\n      <td>0.146453</td>\n      <td>0.147406</td>\n      <td>0.151733</td>\n      <td>0.149123</td>\n      <td>0.075322</td>\n      <td>0.161732</td>\n      <td>0.155130</td>\n      <td>0.141920</td>\n      <td>0.148918</td>\n      <td>0.151086</td>\n      <td>...</td>\n      <td>0.147561</td>\n      <td>0.141869</td>\n      <td>0.105546</td>\n      <td>0.141284</td>\n      <td>0.167702</td>\n      <td>0.131183</td>\n      <td>0.118785</td>\n      <td>0.144044</td>\n      <td>0.109966</td>\n      <td>0.097378</td>\n    </tr>\n    <tr>\n      <th>Child/elder care</th>\n      <td>0.080745</td>\n      <td>0.081216</td>\n      <td>0.082840</td>\n      <td>0.090643</td>\n      <td>0.054014</td>\n      <td>0.090461</td>\n      <td>0.072930</td>\n      <td>0.105824</td>\n      <td>0.095674</td>\n      <td>0.117092</td>\n      <td>...</td>\n      <td>0.109756</td>\n      <td>0.103806</td>\n      <td>0.105546</td>\n      <td>0.097248</td>\n      <td>0.091097</td>\n      <td>0.107527</td>\n      <td>0.069061</td>\n      <td>0.091413</td>\n      <td>0.079038</td>\n      <td>0.078652</td>\n    </tr>\n    <tr>\n      <th>Meals</th>\n      <td>0.211507</td>\n      <td>0.198569</td>\n      <td>0.184700</td>\n      <td>0.154483</td>\n      <td>0.040634</td>\n      <td>0.143640</td>\n      <td>0.210754</td>\n      <td>0.109106</td>\n      <td>0.123128</td>\n      <td>0.095373</td>\n      <td>...</td>\n      <td>0.124390</td>\n      <td>0.093426</td>\n      <td>0.067979</td>\n      <td>0.069725</td>\n      <td>0.064182</td>\n      <td>0.060215</td>\n      <td>0.027624</td>\n      <td>0.083102</td>\n      <td>0.072165</td>\n      <td>0.071161</td>\n    </tr>\n    <tr>\n      <th>Retirement</th>\n      <td>0.227852</td>\n      <td>0.239714</td>\n      <td>0.237532</td>\n      <td>0.260721</td>\n      <td>0.381566</td>\n      <td>0.256579</td>\n      <td>0.211372</td>\n      <td>0.260049</td>\n      <td>0.243760</td>\n      <td>0.298395</td>\n      <td>...</td>\n      <td>0.268293</td>\n      <td>0.295848</td>\n      <td>0.345259</td>\n      <td>0.300917</td>\n      <td>0.312629</td>\n      <td>0.356989</td>\n      <td>0.339779</td>\n      <td>0.299169</td>\n      <td>0.367698</td>\n      <td>0.378277</td>\n    </tr>\n    <tr>\n      <th>Charitable match</th>\n      <td>0.028441</td>\n      <td>0.027907</td>\n      <td>0.025359</td>\n      <td>0.026803</td>\n      <td>0.028741</td>\n      <td>0.029057</td>\n      <td>0.032138</td>\n      <td>0.018048</td>\n      <td>0.020799</td>\n      <td>0.025496</td>\n      <td>...</td>\n      <td>0.017073</td>\n      <td>0.019031</td>\n      <td>0.017889</td>\n      <td>0.022018</td>\n      <td>0.018634</td>\n      <td>0.015054</td>\n      <td>0.030387</td>\n      <td>0.011080</td>\n      <td>0.010309</td>\n      <td>0.022472</td>\n    </tr>\n    <tr>\n      <th>None of these</th>\n      <td>0.025499</td>\n      <td>0.020394</td>\n      <td>0.016484</td>\n      <td>0.016569</td>\n      <td>0.026264</td>\n      <td>0.020833</td>\n      <td>0.016069</td>\n      <td>0.018048</td>\n      <td>0.019135</td>\n      <td>0.015109</td>\n      <td>...</td>\n      <td>0.013415</td>\n      <td>0.027682</td>\n      <td>0.016100</td>\n      <td>0.020183</td>\n      <td>0.012422</td>\n      <td>0.025806</td>\n      <td>0.008287</td>\n      <td>0.008310</td>\n      <td>0.027491</td>\n      <td>0.033708</td>\n    </tr>\n    <tr>\n      <th>Other</th>\n      <td>0.021903</td>\n      <td>0.025760</td>\n      <td>0.021978</td>\n      <td>0.020955</td>\n      <td>0.054014</td>\n      <td>0.031798</td>\n      <td>0.019778</td>\n      <td>0.036095</td>\n      <td>0.018303</td>\n      <td>0.023607</td>\n      <td>...</td>\n      <td>0.031707</td>\n      <td>0.029412</td>\n      <td>0.030411</td>\n      <td>0.022018</td>\n      <td>0.033126</td>\n      <td>0.038710</td>\n      <td>0.046961</td>\n      <td>0.038781</td>\n      <td>0.051546</td>\n      <td>0.052434</td>\n    </tr>\n  </tbody>\n</table>\n<p>17 rows × 21 columns</p>\n</div>"
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "source": [
    "for years_code_job in df['YearsCodedJob'].value_counts().keys():  \n",
    "    benefits_column = df.loc[df['YearsCodedJob'] == years_code_job, 'ImportantBenefits']\n",
    "    takeaway1[years_code_job] = pd.Series(count_options(benefits_column)) / years_code_job_ratio[years_code_job] / df.shape[0]\n",
    "\n",
    "takeaway1"
   ]
  },
  {
   "source": [
    "## Section 4: Data Evaluation\n",
    "Reordering Data frame to better understanding"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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style=\"fill:#bcbd22;\"/>\n    </g>\n    <g id=\"text_34\">\n     <!-- 8 to 9 years -->\n     <g transform=\"translate(1051.195312 143.525136)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 10.984375 1.515625 \nL 10.984375 10.5 \nQ 14.703125 8.734375 18.5 7.8125 \nQ 22.3125 6.890625 25.984375 6.890625 \nQ 35.75 6.890625 40.890625 13.453125 \nQ 46.046875 20.015625 46.78125 33.40625 \nQ 43.953125 29.203125 39.59375 26.953125 \nQ 35.25 24.703125 29.984375 24.703125 \nQ 19.046875 24.703125 12.671875 31.3125 \nQ 6.296875 37.9375 6.296875 49.421875 \nQ 6.296875 60.640625 12.9375 67.421875 \nQ 19.578125 74.21875 30.609375 74.21875 \nQ 43.265625 74.21875 49.921875 64.515625 \nQ 56.59375 54.828125 56.59375 36.375 \nQ 56.59375 19.140625 48.40625 8.859375 \nQ 40.234375 -1.421875 26.421875 -1.421875 \nQ 22.703125 -1.421875 18.890625 -0.6875 \nQ 15.09375 0.046875 10.984375 1.515625 \nz\nM 30.609375 32.421875 \nQ 37.25 32.421875 41.125 36.953125 \nQ 45.015625 41.5 45.015625 49.421875 \nQ 45.015625 57.28125 41.125 61.84375 \nQ 37.25 66.40625 30.609375 66.40625 \nQ 23.96875 66.40625 20.09375 61.84375 \nQ 16.21875 57.28125 16.21875 49.421875 \nQ 16.21875 41.5 20.09375 36.953125 \nQ 23.96875 32.421875 30.609375 32.421875 \nz\n\" id=\"DejaVuSans-57\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-56\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"134.619141\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"195.800781\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"227.587891\" xlink:href=\"#DejaVuSans-57\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"322.998047\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"382.177734\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"443.701172\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"504.980469\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"546.09375\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_374\">\n     <path d=\"M 1023.195312 158.203261 \nL 1043.195312 158.203261 \nL 1043.195312 151.203261 \nL 1023.195312 151.203261 \nz\n\" style=\"fill:#17becf;\"/>\n    </g>\n    <g id=\"text_35\">\n     <!-- 9 to 10 years -->\n     <g transform=\"translate(1051.195312 158.203261)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-57\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"134.619141\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"195.800781\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"227.587891\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-48\"/>\n      <use x=\"354.833984\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"386.621094\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"445.800781\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"507.324219\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"568.603516\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"609.716797\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_375\">\n     <path d=\"M 1023.195312 172.881386 \nL 1043.195312 172.881386 \nL 1043.195312 165.881386 \nL 1023.195312 165.881386 \nz\n\" style=\"fill:#1f77b4;\"/>\n    </g>\n    <g id=\"text_36\">\n     <!-- 10 to 11 years -->\n     <g transform=\"translate(1051.195312 172.881386)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-48\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"354.833984\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_376\">\n     <path d=\"M 1023.195312 187.559511 \nL 1043.195312 187.559511 \nL 1043.195312 180.559511 \nL 1023.195312 180.559511 \nz\n\" style=\"fill:#ff7f0e;\"/>\n    </g>\n    <g id=\"text_37\">\n     <!-- 11 to 12 years -->\n     <g transform=\"translate(1051.195312 187.559511)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"354.833984\" xlink:href=\"#DejaVuSans-50\"/>\n      <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_377\">\n     <path d=\"M 1023.195312 202.237636 \nL 1043.195312 202.237636 \nL 1043.195312 195.237636 \nL 1023.195312 195.237636 \nz\n\" style=\"fill:#2ca02c;\"/>\n    </g>\n    <g id=\"text_38\">\n     <!-- 12 to 13 years -->\n     <g transform=\"translate(1051.195312 202.237636)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-50\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"354.833984\" xlink:href=\"#DejaVuSans-51\"/>\n      <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_378\">\n     <path d=\"M 1023.195312 216.915761 \nL 1043.195312 216.915761 \nL 1043.195312 209.915761 \nL 1023.195312 209.915761 \nz\n\" style=\"fill:#d62728;\"/>\n    </g>\n    <g id=\"text_39\">\n     <!-- 13 to 14 years -->\n     <g transform=\"translate(1051.195312 216.915761)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-51\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"354.833984\" xlink:href=\"#DejaVuSans-52\"/>\n      <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_379\">\n     <path d=\"M 1023.195312 231.593886 \nL 1043.195312 231.593886 \nL 1043.195312 224.593886 \nL 1023.195312 224.593886 \nz\n\" style=\"fill:#9467bd;\"/>\n    </g>\n    <g id=\"text_40\">\n     <!-- 14 to 15 years -->\n     <g transform=\"translate(1051.195312 231.593886)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-52\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"354.833984\" xlink:href=\"#DejaVuSans-53\"/>\n      <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_380\">\n     <path d=\"M 1023.195312 246.272011 \nL 1043.195312 246.272011 \nL 1043.195312 239.272011 \nL 1023.195312 239.272011 \nz\n\" style=\"fill:#8c564b;\"/>\n    </g>\n    <g id=\"text_41\">\n     <!-- 15 to 16 years -->\n     <g transform=\"translate(1051.195312 246.272011)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-53\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"354.833984\" xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_381\">\n     <path d=\"M 1023.195312 260.950136 \nL 1043.195312 260.950136 \nL 1043.195312 253.950136 \nL 1023.195312 253.950136 \nz\n\" style=\"fill:#e377c2;\"/>\n    </g>\n    <g id=\"text_42\">\n     <!-- 16 to 17 years -->\n     <g transform=\"translate(1051.195312 260.950136)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"354.833984\" xlink:href=\"#DejaVuSans-55\"/>\n      <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_382\">\n     <path d=\"M 1023.195312 275.628261 \nL 1043.195312 275.628261 \nL 1043.195312 268.628261 \nL 1023.195312 268.628261 \nz\n\" style=\"fill:#7f7f7f;\"/>\n    </g>\n    <g id=\"text_43\">\n     <!-- 17 to 18 years -->\n     <g transform=\"translate(1051.195312 275.628261)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-55\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"159.033203\" xlink:href=\"#DejaVuSans-116\"/>\n      <use x=\"198.242188\" xlink:href=\"#DejaVuSans-111\"/>\n      <use x=\"259.423828\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"291.210938\" xlink:href=\"#DejaVuSans-49\"/>\n      <use x=\"354.833984\" xlink:href=\"#DejaVuSans-56\"/>\n      <use x=\"418.457031\" xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"450.244141\" xlink:href=\"#DejaVuSans-121\"/>\n      <use x=\"509.423828\" xlink:href=\"#DejaVuSans-101\"/>\n      <use x=\"570.947266\" xlink:href=\"#DejaVuSans-97\"/>\n      <use x=\"632.226562\" xlink:href=\"#DejaVuSans-114\"/>\n      <use x=\"673.339844\" xlink:href=\"#DejaVuSans-115\"/>\n     </g>\n    </g>\n    <g id=\"patch_383\">\n     <path d=\"M 1023.195312 290.306386 \nL 1043.195312 290.306386 \nL 1043.195312 283.306386 \nL 1023.195312 283.306386 \nz\n\" style=\"fill:#bcbd22;\"/>\n    </g>\n    <g id=\"text_44\">\n     <!-- 18 to 19 years -->\n     <g transform=\"translate(1051.195312 290.306386)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-49\"/>\n      <use 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "column_order = [\n",
    "    'Less than a year',\n",
    "    '1 to 2 years',\n",
    "    '2 to 3 years',\n",
    "    '3 to 4 years',\n",
    "    '4 to 5 years',\n",
    "    '5 to 6 years',\n",
    "    '6 to 7 years',\n",
    "    '7 to 8 years',\n",
    "    '8 to 9 years',\n",
    "    '9 to 10 years',\n",
    "    '10 to 11 years',\n",
    "    '11 to 12 years',\n",
    "    '12 to 13 years',\n",
    "    '13 to 14 years',\n",
    "    '14 to 15 years',\n",
    "    '15 to 16 years',\n",
    "    '16 to 17 years',\n",
    "    '17 to 18 years',\n",
    "    '18 to 19 years',\n",
    "    '19 to 20 years',\n",
    "    '20 or more years'\n",
    "]\n",
    "takeaway1 = takeaway1[column_order]\n",
    "index_order = [\n",
    "    'Vacation/days off',\n",
    "    'Remote options',\n",
    "    'Health benefits',\n",
    "    'Expected work hours',\n",
    "    'Equipment',\n",
    "    'Professional development sponsorship',\n",
    "    'Annual bonus',\n",
    "    'Retirement',\n",
    "    'Stock options',\n",
    "    'Education sponsorship',\n",
    "    'Long-term leave',\n",
    "    'Meals',\n",
    "    'Private office',\n",
    "    'Child/elder care',\n",
    "    'Other',\n",
    "    'Charitable match',\n",
    "    'None of these'\n",
    "]\n",
    "takeaway1 = takeaway1.reindex(takeaway1['20 or more years'].sort_values(ascending=False).index)\n",
    "takeaway1.plot(figsize=(20,10), kind='bar', width=0.8);"
   ]
  },
  {
   "source": [
    "Again, we organize the Data Frame to better understanding\n",
    "Note that we are sorting the data with the ones that have more experience coding"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1440x720 with 1 Axes>",
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+ffrQr18/3vOe98z1dUweSZIkSZKkd2XKlCksvfTS9O/fn4ioOxxVyExefPFFpkyZwoABA+b6eg5bkyRJkiRJ78obb7zBiiuuaOJoARcRrLjiit2uEDN5JEmSJEmS3jUTRwuHeXmeTB5JkiRJkqSF3u9+9zvWW2891llnHcaMGdPpPpdddhkPPfRQt2533LhxrLzyygwdOpShQ4fys5/9bH6Eu1Cx55EkSZIkSZqv+o++ar7e3pNjduly+4wZMzjyyCO57rrr6NevHyNGjGDXXXdlgw02mGW/yy67jI9+9KOzrZ+TPffckzPOOKPbcb9bM2bMoFevXk2/346sPJIkSZIkSQu1O++8k3XWWYf3v//9LL744uy1115cfvnls+xz2223ccUVV3D00UczdOhQnnjiCSZOnMjmm2/O4MGD2WOPPXj55Zfn6f6POeYYfvSjH81c/sY3vsFpp50GwIknnsiIESMYPHgw3/rWt2bus/vuu7PJJpuw4YYbctZZZ81c/773vY9jjz2WzTbbjNtvv53Ro0ezwQYbMHjwYL785S/PU3zvlskjSZIkSZK0UHv66adZY401Zi7369ePp59+epZ9PvCBD7Drrrty4oknMnHiRNZee20OOOAATjjhBO6//37a2tr49re/3entX3LJJQwePJhPfvKTPPXUU7Nt/9SnPsX48eMBePvtt7ngggvYd999ufbaa3nssce48847mThxIhMmTODmm28G4JxzzmHChAncfffdnHbaabz44osAvPbaa2y00Ub86U9/YoMNNuDSSy/lwQcf5P777+eb3/zmfDle3WXySJIkSZIkLdQyc7Z1c2oMPXXqVF555RU++MEPAnDggQfOTOw0+tjHPsaTTz7J/fffz4c//GEOPPDA2fbp378/K664Ivfeey/XXnstG2+8MSuuuCLXXnvtzOVhw4bx8MMP89hjjwFw2mmnMWTIEDbffHOeeuqpmet79erFJz7xCQCWWWYZ+vTpw6GHHspvfvMbllxyye4dmPnEnkeSJEmSJGmh1q9fv1kqgqZMmcJqq602X257xRVXnHn5sMMO46tf/Wqn+x166KGMGzeOv//97xxyyCFAkdT62te+xmc+85lZ9r3pppv4/e9/z+23386SSy7JtttuyxtvvAFAnz59ZvY56t27N3feeSfXX389F1xwAWeccQY33HDDfHlc3WHlkSRJkiRJWqiNGDGCxx57jL/85S+8+eabXHDBBey6666z7bf00kszbdo0AJZddlmWX355brnlFgDOP//8mVVIjZ599tmZl6+44goGDRrUaQx77LEHv/vd77jrrrvYcccdAdhxxx0555xzePXVV4FieN0//vEPpk6dyvLLL8+SSy7Jww8/zB133NHpbb766qtMnTqVj3zkI5x66qlMnDhx7g/KfGTlkSRJkiRJWqj17t2bM844gx133JEZM2ZwyCGHsOGGG86231577cVhhx3GaaedxsUXX8z48eM5/PDDef3113n/+9/PueeeO9t1TjvtNK644gp69+7NCiuswLhx4zqNYfHFF+dDH/oQyy233MzKoR122IHJkyezxRZbAEUz7J///OfstNNOjB07lsGDB7Peeuux+eabd3qb06ZNY7fdduONN94gMznllFPm8Qi9O9HZuMAF2fDhw/Puu++uOwxJkiRJklSaPHlyZUVOq3j77bcZNmwYF110EQMHDqw7nC519nxFxITMHN7Z/g5bkyRJkiRJehceeugh1llnHbbffvsFPnE0Lxy2JkmSJEmS9C5ssMEG/PnPf647jB5j5ZEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSpIVe//79aWtrY+jQoQwf3umM81x22WU89NBD3brdm2++mWHDhtG7d28uvvjiWbaNHz+egQMHMnDgQMaPHz/PsS/onG1NkiRJkiTNX8ctO59vb+pc7XbjjTey0korVW6/7LLL+OhHP8oGG2ww13e95pprMm7cOE466aRZ1r/00kt8+9vf5u677yYi2GSTTdh1111Zfvnl5/q259Vbb71F797NS+mYPGqyMw+/ocvtR47drkmRSJIkSZLUOm677TauuOIK/vCHP3D88cdzySWXMG3aNA4//HBef/111l57bc4555zZkj/9+/cHYLHFZh28dc011zBy5EhWWGEFAEaOHMnvfvc79t5775n7PPHEE4waNYp77rkHgMcee4y99tqLCRMmMGHCBL70pS/x6quvstJKKzFu3Dj69u3LT3/6U8466yzefPNN1llnHc4//3yWXHJJDjroIFZYYQXuvfdehg0bxq677soXvvAFACKCm2++maWXXrpHjp3D1iRJkiRJ0kIvIthhhx3YZJNNOOuss2bb/oEPfIBdd92VE088kYkTJ7L22mtzwAEHcMIJJ3D//ffT1tbGt7/97bm+v6effpo11lhj5nK/fv14+umnZ9ln7bXXZtlll2XixIkAnHvuuRx00EFMnz6dz33uc1x88cVMmDCBQw45hG984xsAfPzjH+euu+7ivvvuY9CgQZx99tkzb+/RRx/l97//PSeffDInnXQSZ555JhMnTuSWW25hiSWW6M7h6hYrjyRJkiRJ0kLvj3/8I6utthr/+Mc/GDlyJOuvvz7bbLNN5f5Tp07llVde4YMf/CAABx54IKNGjZrr+8vM2dZFxGzrDj30UM4991x++MMf8utf/5o777yTRx55hAceeICRI0cCMGPGDPr27QvAAw88wDe/+U1eeeUVXn31VXbccceZtzVq1Ch69eoFwJZbbsmXvvQl9t13Xz7+8Y/Tr1+/uY69u6w8kiRJkiRJC73VVlsNgFVWWYU99tiDO++8s0fvr1+/fjz11FMzl6dMmTIzhkaf+MQn+O1vf8uVV17JJptswoorrkhmsuGGGzJx4kQmTpzIpEmTuPbaawE46KCDOOOMM5g0aRLf+ta3eOONN2be1lJLLTXz8ujRo/nZz37Gv/71LzbffHMefvjhHnusJo8kSZIkSdJC7bXXXmPatGkzL1977bVstNFGs+239NJLz9xv2WWXZfnll+eWW24B4Pzzz59ZhTQ3dtxxR6699lpefvllXn75Za699tpZqoTa9enThx133JHPfvazHHzwwQCst956PP/889x+++0ATJ8+nQcffBCAadOm0bdvX6ZPn84vfvGLyvt/4oknaGtr46tf/SrDhw83eSRJkiRJklTlueeeY6uttmLIkCFsuumm7LLLLuy0006z7bfXXntx4oknsvHGG/PEE08wfvx4jj76aAYPHszEiRM59thjZ7vOXXfdRb9+/bjooov4zGc+w4YbbgjACiuswDHHHMOIESMYMWIExx577Mzm2R3tu+++M3syASy++OJcfPHFfPWrX2XIkCEMHTqU2267DYDvfve7bLbZZjOH3lU59dRT2WijjRgyZAhLLLEEO++8c7eP29yKzsboLciGDx+ed999d91hzDNnW5MkSZIkLWomT57MoEGD6g5jgXXSSScxdepUvvvd79YdCtD58xUREzJzeGf72zBbkiRJkiSph+yxxx488cQT3HBD18UkCzKTR93UNr6ty+2TDpzUpEgkSZIkSdKC7tJLL607hHfNnkeSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkhZ6hxxyCKussgobbbTRLOtfeuklRo4cycCBAxk5ciQvv/zybNd98skn+eUvf9nt+9xpp51Ybrnl+OhHPzrL+oMOOogBAwYwdOhQhg4dysSJE7t92wuSHp1tLSJ2An4E9AJ+lpljOtlnW+BU4D3AC5n5wZ6MSXPpuGW72Da1eXFIkiRJkhY6c5qpvLvmZmbzgw46iKOOOooDDjhglvVjxoxh++23Z/To0YwZM4YxY8ZwwgknzLJPe/Jon3326VZcRx99NK+//jo/+clPZtt24okn8slPfrJbt/duzZgxg169es332+2xyqOI6AWcCewMbADsHREbdNhnOeB/gV0zc0NgVE/Fo/mnbXxblz+T1x/U5Y8kSZIkSfPbNttswworrDDb+ssvv5wDDzwQgAMPPJDLLrtstn1Gjx7NLbfcwtChQznllFN44403OPjgg2lra2PjjTfmxhtv7PQ+t99+e5Zeeul5infrrbeepSJpyy235P777+e1117jkEMOYcSIEWy88cZcfvnlQJHg2nrrrRk2bBjDhg3jtttuA+Cmm27iQx/6EPvssw9tbW289tpr7LLLLgwZMoSNNtqIX//61/MUX6OerDzaFHg8M/8MEBEXALsBDzXssw/wm8z8G0Bm/qMH45EkSZIkSS3mueeeo2/fvgD07duXf/xj9tTDmDFjOOmkk7jyyisBOPnkkwGYNGkSDz/8MDvssAOPPvooffr0mev7/cY3vsF3vvMdtt9+e8aMGcN73/veWbYfeuihjBs3jlNPPZVHH32Uf//73wwePJivf/3rbLfddpxzzjm88sorbLrppnz4wx9mlVVW4brrrqNPnz489thj7L333tx9990A3HnnnTzwwAMMGDCASy65hNVWW42rrroKgKlT3/3ooZ7sebQ68FTD8pRyXaN1geUj4qaImBARByBJkiRJklSjW2+9lf333x+A9ddfn7XWWotHH310rq///e9/n4cffpi77rqLl156abZhcgCjRo3iyiuvZPr06ZxzzjkcdNBBAFx77bWMGTOGoUOHsu222/LGG2/wt7/9jenTp3PYYYfR1tbGqFGjeOihd2pzNt10UwYMGABAW1sbv//97/nqV7/KLbfcwrLLdtGWZi71ZOVRdLIuO7n/TYDtgSWA2yPijsyc5RmJiE8DnwZYc801eyBUSZIkSZK0KFp11VV59tln6du3L88++yyrrLLKHK+T2TF90T3tlU7vfe97OfjggznppJNm22fJJZdk5MiRXH755Vx44YUzq4gyk0suuYT11ltvlv2PO+44Vl11Ve677z7efvvtWaqgllpqqZmX1113XSZMmMDVV1/N1772NXbYYQeOPfbYd/V4erLyaAqwRsNyP+CZTvb5XWa+lpkvADcDQzreUGaelZnDM3P4yiuv3GMBzw/2+5EkSZIkacGx6667Mn78eADGjx/PbrvtNts+Sy+9NNOmTZu5vM022/CLX/wCgEcffZS//e1vsyVzuvLss88CRSLosssum20GuHaHHnoon//85xkxYsTMfk077rgjp59++swE1r333gsUw8/69u3LYostxvnnn8+MGTM6vc1nnnmGJZdckv32248vf/nL3HPPPXMdd5WeTB7dBQyMiAERsTiwF3BFh30uB7aOiN4RsSSwGTC5B2OSJEmSJEmLoL333pstttiCRx55hH79+nH22WcDRTPs6667joEDB3LdddcxevTo2a47ePBgevfuzZAhQzjllFM44ogjmDFjBm1tbey5556MGzdutp5FUDS9HjVqFNdffz39+vXjmmuuAWDfffelra2NtrY2XnjhBb75zW92GvMmm2zCMsssw8EHHzxz3THHHMP06dMZPHgwG220EccccwwARxxxBOPHj2fzzTfn0UcfnaXaqNGkSZPYdNNNGTp0KN/73vcq77s74t2WYnV54xEfAU4FegHnZOb3IuJwgMwcW+5zNHAw8Dbws8w8tavbHD58eLaXctVhTtMNXvj9t7rcfsO2Z3a5/cix23U7ph5xXPWYyLYBXQ8dnNMxGPSw+UFJkiRJWpRMnjyZQYMcbdNdzzzzDNtuuy0PP/wwiy3Wk/U9s+rs+YqICZk5vLP9e7LnEZl5NXB1h3VjOyyfCJzYk3FIkiRJkiQtSM477zy+8Y1v8MMf/rCpiaN50aPJI0mSJEmSJM3ugAMO4IADFo5J5xfs1JYkSZIkSZJqZfJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkhZ6hxxyCKussgobbbTRLOuPO+44Vl99dYYOHcrQoUO5+uqrZ7vuk08+yS9/+ctu3d/EiRPZYost2HDDDRk8eDC//vWvZ277y1/+wmabbcbAgQPZc889efPNN+ftQS0gnG1NkiRJkiTNV5PXHzRfb2/Qw5PnuM9BBx3EUUcd1ekMZl/84hf58pe/XHnd9uTRPvvsM9cxLbnkkpx33nkMHDiQZ555hk022YQdd9yR5ZZbjq9+9at88YtfZK+99uLwww/n7LPP5rOf/exc3/a8mjFjBr169Zrvt2vlkSRJkiRJWuhts802rLDCCvN03dGjR3PLLbcwdOhQTjnlFN544w0OPvhg2tra2Hjjjbnxxhtnu866667LwIEDAVhttdVYZZVVeP7558lMbrjhBj75yU8CcOCBB3LZZZfNdv2tt96aiRMnzlzecsstuf/++3nttdc45JBDGDFiBBtvvDGXX345UCS4tt56a4YNG8awYcO47bbbALjpppv40Ic+xD777ENbWxuvvfYau+yyC0OGDGGjjTaapSJqXll5JEmSJEmSFmlnnHEG5513HsOHD+fkk09m+eWXn2X7mDFjOOmkk7jyyisBOPnkkwGYNGkSDz/8MDvssAOPPvooffr06fT277zzTt58803WXnttXnzxRZZbbjl69y5SLv369ePpp5+e7TqHHnoo48aN49RTT+XRRx/l3//+N4MHD+brX/862223Heeccw6vvPIKm266KR/+8IdZZZVVuO666+jTpw+PPfYYe++9N3fffffM+3/ggQcYMGAAl1xyCautthpXXXUVAFOnTn3Xx8/KI0mSJEmStMj67Gc/yxNPPMHEiRPp27cv//3f/z3H69x6663sv//+AKy//vqstdZaPProo53u++yzz7L//vtz7rnnsthii5GZs+0TEbOtGzVqFFdeeSXTp0/nnHPO4aCDDgLg2muvZcyYMQwdOpRtt92WN954g7/97W9Mnz6dww47jLa2NkaNGsVDDz0087Y23XRTBgwYAEBbWxu///3v+epXv8ott9zCsssuO8fHOydWHkmSJEmSpEXWqquuOvPyYYcdxkc/+tE5XqezBFBn/vnPf7LLLrtw/PHHs/nmmwOw0kor8corr/DWW2/Ru3dvpkyZwmqrrTbbdZdccklGjhzJ5ZdfzoUXXjiziigzueSSS1hvvfVm2f+4445j1VVX5b777uPtt9+epQpqqaWWmnl53XXXZcKECVx99dV87WtfY4cdduDYY4+dq8dTxeRRi+o/+qoutz/ZeSWeJEmSJEkLlWeffZa+ffsCcOmll842GxvA0ksvzbRp02Yub7PNNvziF79gu+2249FHH+Vvf/vbbMmcN998kz322IMDDjiAUaNGzVwfEXzoQx/i4osvZq+99mL8+PHstttuncZ26KGH8rGPfYytt956Zr+mHXfckdNPP53TTz+diODee+9l4403ZurUqfTr14/FFluM8ePHM2PGjE5v85lnnmGFFVZgv/32433vex/jxo3r1vHqjMPWJEmSJEnSQm/vvfdmiy224JFHHqFfv36cffbZAHzlK1+hra2NwYMHc+ONN3LKKafMdt3BgwfTu3dvhgwZwimnnMIRRxzBjBkzaGtrY88992TcuHG8973vneU6F154ITfffDPjxo1j6NChDB06dGYD7BNOOIEf/vCHrLPOOrz44ot86lOf6jTmTTbZhGWWWYaDDz545rpjjjmG6dOnM3jwYDbaaCOOOeYYAI444gjGjx/P5ptvzqOPPjpLtVGjSZMmsemmmzJ06FC+973v8c1vfrPbx7KjmNtSrAXF8OHDs72Uqw5t49u63H7h99/qcvsN257Z5fYjx27X7ZjmxZwrj6qnJ2wbsGaX153TMZibKRYlSZIkSQuPyZMnM2jQoLrDWOg888wzbLvttjz88MMstljz6ns6e74iYkJmDu9sfyuPJEmSJEmSmuy8885js80243vf+15TE0fzwp5HkiRJkiRJTXbAAQdwwAEH1B3GXFmwU1uSJEmSJEmqlZVHarozD7+hy+3N6vskSZIkSZLmzMojSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJ0kLtqaee4kMf+hCDBg1iww035Ec/+tHMbS+99BIjR45k4MCBjBw5kpdffrnGSBdO9jySJEmSJEnz1Zx63XbXnHrj9u7dm5NPPplhw4Yxbdo0NtlkE0aOHMkGG2zAmDFj2H777Rk9ejRjxoxhzJgxnHDCCbNc/7jjjqN///4cdNBB8zXuOXnrrbfo3XvBT81YeSRJkiRJkhZqffv2ZdiwYQAsvfTSDBo0iKeffhqAyy+/nAMPPBCAAw88kMsuu6zbt3/99dezxx57zFy+7rrr+PjHPw7AtddeyxZbbMGwYcMYNWoUr776KgDf+c53GDFiBBtttBGf/vSnyUwAtt12W77+9a/zwQ9+kB/96EdcdNFFbLTRRgwZMoRtttlmno9BTzJ5JEmSJEmSFhlPPvkk9957L5ttthkAzz33HH379gWKJNM//vGPbt/mdtttx+TJk3n++ecBOPfcczn44IN54YUXOP744/n973/PPffcw/Dhw/nhD38IwFFHHcVdd93FAw88wL/+9S+uvPLKmbf3yiuv8Ic//IH//u//5jvf+Q7XXHMN9913H1dcccW7ffg9wuSRJEmSJElaJLz66qt84hOf4NRTT2WZZZbpct9JkyYxdOhQhg4dytixYzn22GNnLr/44ouz7BsR7L///vz85z/nlVde4fbbb2fnnXfmjjvu4KGHHmLLLbdk6NChjB8/nr/+9a8A3HjjjWy22Wa0tbVxww038OCDD868vT333HPm5S233JKDDjqIn/70p8yYMWM+Ho35Z8EfWCdJkiRJkjQH06dP5xOf+AT77rvvzCFlAKuuuirPPvssffv25dlnn2WVVVYBoK2tjYkTJwJz1/Po4IMP5mMf+xh9+vRh1KhR9O7dm8xk5MiR/OpXv5pl3zfeeIMjjjiCu+++mzXWWIPjjjuON954Y+b2pZZaaublsWPH8qc//YmrrrqKoUOHMnHiRFZcccX5cETmHyuPJEmSJEnSQi0z+dSnPsWgQYP40pe+NMu2XXfdlfHjxwMwfvx4dtttt3m6j9VWW43VVluN448/fmaSafPNN+ePf/wjjz/+OACvv/46jz766MxE0UorrcSrr77KxRdfXHm7TzzxBJttthnf+c53WGmllXjqqafmKb6eZOVRR8ct2/X2AWs2Jw5JkiRJkjRX/vjHP3L++efT1tbG0KFDAfif//kfPvKRjzB69Gj+8z//k7PPPps111yTiy66aJ7vZ9999+X5559ngw02AGDllVdm3Lhx7L333vz73/8G4Pjjj2fdddflsMMOo62tjf79+zNixIjK2zz66KN57LHHyEy23357hgwZMs/x9RSTR5IkSZIkab46cux2Tb2/rbbaauZsZh2tuOKKXH/99V1e/7jjjpur+7n11ls57LDDZlm33Xbbcdddd8227/HHH8/xxx8/2/qbbrppluXf/OY3c3XfdTJ5JEmSJEmSNAebbLIJSy21FCeffHLdoTSdySNJkiRJkqQ5mDBhQt0h1MaG2ZIkSZIkSapk8kiSJEmSJL1rVT2HtGCZl+fJ5JEkSZIkSXpX+vTpw4svvmgCaQGXmbz44ov06dOnW9ez55EkSZIkSXpX+vXrx5QpU3j++efrDkVz0KdPH/r169et65g8kiRJkiRJ78p73vMeBgwYUHcY6iEOW5MkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkqRKJo8kSZIkSZJUyeSRJEmSJEmSKpk8kiRJkiRJUiWTR5IkSZIkSapk8kiSJEmSJEmVTB5JkiRJkiSpkskjSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFXqXXcAUis68/Abutx+5NjtmhSJJEmSJElds/JIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkqRKJo8kSZIkSZJUyeSRJEmSJEmSKpk8kiRJkiRJUiWTR5IkSZIkSarUo8mjiNgpIh6JiMcjYnQn27eNiKkRMbH8ObYn45EkSZIkSVL39O6pG46IXsCZwEhgCnBXRFyRmQ912PWWzPxoT8UhSZIkSZKkedeTlUebAo9n5p8z803gAmC3Hrw/SZIkSZIkzWc9VnkErA481bA8Bdisk/22iIj7gGeAL2fmgz0YEwD9R19Vue3JPj1975IkSZIkSQuPnkweRSfrssPyPcBamflqRHwEuAwYONsNRXwa+DTAmmuuOZ/DlCRJkiRJUpWeHLY2BVijYbkfRXXRTJn5z8x8tbx8NfCeiFip4w1l5lmZOTwzh6+88so9GLIkSZIkSZIa9WTy6C5gYEQMiIjFgb2AKxp3iIj/iIgoL29axvNiD8YkSZIkSZKkbuixYWuZ+VZEHAVcA/QCzsnMByPi8HL7WOCTwGcj4i3gX8BemdlxaJskSZIkSZJq0pM9j9qHol3dYd3YhstnAGf0ZAySJEmSJEmadz05bE2SJEmSJEkLOZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlXrXHYBUl/6jr+py+5NjdmlSJJIkSZIkLbisPJIkSZIkSVIlk0eSJEmSJEmq5LA1ST1m8vqDutw+6OHJTYpEkiRJkjSvrDySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZXseSRpnrWNb+ty+4VNikOSJEmS1HOsPJIkSZIkSVIlk0eSJEmSJEmq5LA1qcpxy85h+9TmxCFJkiRJUo2sPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFVytjWph0xef1D1xm3PbF4gkiRJkiS9CyaPJFU7btmutw9YszlxSJIkSZJq47A1SZIkSZIkVbLySJpHbePbutx+YZPikCRJkiSpJ1l5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVKl33QFIal1nHn5D5bYjx27XxEgkSZIkSVWsPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlex5JLWw/qOv6nL7k32aFIgkSZIkaYFl5ZEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkqRKJo8kSZIkSZJUyeSRJEmSJEmSKvWuOwBJ0kLguGW72Da1eXFIkiRJajorjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSr3rDkCStHBrG9/W5fZJB05qUiSSJEmSeoKVR5IkSZIkSapk8kiSJEmSJEmVenTYWkTsBPwI6AX8LDPHVOw3ArgD2DMzL+7JmCRJs+s/+qoutz/ZZ95ve/L6g7rcPujhyfN+45qv5vg6GLNLkyKRJEnSgqTHKo8iohdwJrAzsAGwd0RsULHfCcA1PRWLJEmSJEmS5k1PVh5tCjyemX8GiIgLgN2Ahzrs9zngEmBED8YiSZLereOWncP2qc2JQ5IkSU3Vkz2PVgeealieUq6bKSJWB/YAxnZ1QxHx6Yi4OyLufv755+d7oJIkSZIkSepcTyaPopN12WH5VOCrmTmjqxvKzLMyc3hmDl955ZXnV3ySJEmSJEmag54ctjYFWKNhuR/wTId9hgMXRATASsBHIuKtzLysB+OSJEmSJEnSXOrJ5NFdwMCIGAA8DewF7NO4Q2YOaL8cEeOAK00cSZIkSZIkLTh6LHmUmW9FxFEUs6j1As7JzAcj4vBye5d9jiRJkiRJklS/nqw8IjOvBq7usK7TpFFmHtSTsUiSJEmSJKn7erJhtiRJkiRJkhZyJo8kSZIkSZJUyeSRJEmSJEmSKpk8kiRJkiRJUiWTR5IkSZIkSapk8kiSJEmSJEmVTB5JkiRJkiSpkskjSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklSpd90BSFIrO/PwG7rcfuTY7ZoUiSRJkiR1zsojSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqtS77gAkSdKioW18W5fbJx04qUmRSJIkaX6y8kiSJEmSJEmVTB5JkiRJkiSpkskjSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSpd51ByBJam1nHn5Dl9uPHLtdkyKRJEmS1BkrjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTDbEnqQZPXH9T1Dtue2ZxAJEmSJGkeWXkkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkqRKJo8kSZIkSZJUyeSRJEmSJEmSKpk8kiRJkiRJUiWTR5IkSZIkSapk8kiSJEmSJEmVTB5JkiRJkiSp0lwljyKiX0RcGhHPR8RzEXFJRPTr6eAkSZIkSZJUr7mtPDoXuALoC6wO/F+5TpIkSZIkSYuwuU0erZyZ52bmW+XPOGDlHoxLkiRJkiRJC4Dec7nfCxGxH/Crcnlv4MWeCUmSpObrP/qqLrc/OWaXJkWy6Jq8/qAutw96eHKTIpEkSVJ3zG3y6BDgDOAUIIHbynWSJLWG45adw/apzYlDkiRJarK5Sh5l5t+AXXs4FkmSJEmSJC1gukweRcRXMvMHEXE6RcXRLDLz8z0WmSRJkiRJkmo3p8qj9uYDd/d0IJIkSZIkSVrwdJk8ysz/Ky++npkXNW6LiFE9FpUkSZIkSZIWCIvN5X5fm8t1kiRJkiRJWoTMqefRzsBHgNUj4rSGTcsAb/VkYJIkLUzaxrd1uX3SgZOaFIkkSZI0f82p59EzFP2OdgUmNKyfBnyxp4KSJEmSJEnSgmFOPY/uA+6LiF9m5vQmxSRJkiRJkqQFxJwqj9r1j4jvAxsAfdpXZub7eyQqSZIkSZIkLRDmtmH2ucCPKfocfQg4Dzi/p4KSJEmSJEnSgmFuk0dLZOb1QGTmXzPzOGC7ngtLkiRJkiRJC4K5Hbb2RkQsBjwWEUcBTwOr9FxYkiRJkiRJWhDMbeXRfwFLAp8HNgH2Bw7ooZgkSZIkSZK0gJiryqPMvKu8+CpwcET0BvYE/tRTgUmSJEmSJKl+XVYeRcQyEfG1iDgjInaIwlHA48B/NidESZIkSZIk1WVOlUfnAy8DtwOHAkcDiwO7Z+bEng1NkiRJkiRJdZtT8uj9mdkGEBE/A14A1szMaT0emSRJkiRJkmo3p4bZ09svZOYM4C8mjiRJkiRJklrHnCqPhkTEP8vLASxRLgeQmblMj0YnSZIkSZKkWnWZPMrMXs0KRJIkSZIkSQueOQ1bkyRJkiRJUgszeSRJkiRJkqRKJo8kSZIkSZJUaU4Ns9+ViNgJ+BHQC/hZZo7psH034LvA28BbwH9l5q09GZMkSXWYvP6gym2DHp7cxEgkSZKk7umx5FFE9ALOBEYCU4C7IuKKzHyoYbfrgSsyMyNiMHAhsH5PxSRJkiRJkqTu6clha5sCj2fmnzPzTeACYLfGHTLz1czMcnEpIJEkSZIkSdICoyeHra0OPNWwPAXYrONOEbEH8H1gFWCXHoxHkua7tvFtXW6/sElxSJIkSVJP6cnKo+hk3WyVRZl5aWauD+xO0f9o9huK+HRE3B0Rdz///PPzN0pJkiRJkiRV6snk0RRgjYblfsAzVTtn5s3A2hGxUifbzsrM4Zk5fOWVV57/kUqSJEmSJKlTPZk8ugsYGBEDImJxYC/gisYdImKdiIjy8jBgceDFHoxJkiRJkiRJ3dBjPY8y862IOAq4BugFnJOZD0bE4eX2scAngAMiYjrwL2DPhgbakiS1hDMPv6HL7UeO3a5JkUiSJEmz68mG2WTm1cDVHdaNbbh8AnBCT8YgSZIkSZKkedeTw9YkSZIkSZK0kDN5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkqRKvesOQJIkCeDMw2/ocvuRY7drUiSSJElqZOWRJEmSJEmSKpk8kiRJkiRJUiWTR5IkSZIkSapk8kiSJEmSJEmVTB5JkiRJkiSpkskjSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqtS77gAkaYF23LJdbx+wZnPikCRJkqSaWHkkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkqRKJo8kSZIkSZJUyeSRJEmSJEmSKpk8kiRJkiRJUiWTR5IkSZIkSapk8kiSJEmSJEmVTB5JkiRJkiSpkskjSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklSpd90BSFLd+o++qnLbk32aGIgkSZIkLYCsPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkqRKJo8kSZIkSZJUyeSRJEmSJEmSKpk8kiRJkiRJUiWTR5IkSZIkSapk8kiSJEmSJEmVTB5JkiRJkiSpkskjSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkir1aPIoInaKiEci4vGIGN3J9n0j4v7y57aIGNKT8UiSJEmSJKl7eix5FBG9gDOBnYENgL0jYoMOu/0F+GBmDga+C5zVU/FIkiRJkiSp+3qy8mhT4PHM/HNmvglcAOzWuENm3paZL5eLdwD9ejAeSZIkSZIkdVNPJo9WB55qWJ5SrqvyKeC3PRiPJEmSJEmSuql3D952dLIuO90x4kMUyaOtKrZ/Gvg0wJprrjm/4pMkSZIkSdIc9GTl0RRgjYblfsAzHXeKiMHAz4DdMvPFzm4oM8/KzOGZOXzllVfukWAlSZIkSZI0u56sPLoLGBgRA4Cngb2AfRp3iIg1gd8A+2fmoz0YiyRJkjTX+o++qsvtT47ZpUmRSJJUvx5LHmXmWxFxFHAN0As4JzMfjIjDy+1jgWOBFYH/jQiAtzJzeE/FJEmSJEmSpO7pycojMvNq4OoO68Y2XD4UOLQnY5AkSZIkSdK868meR5IkSZIkSVrImTySJEmSJElSpR4dtiZJkiRJ0sLOJvpqdVYeSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkqRKJo8kSZIkSZJUyeSRJEmSJEmSKpk8kiRJkiRJUiWTR5IkSZIkSapk8kiSJEmSJEmVTB5JkiRJkiSpkskjSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklSpd90BSJIkqXDm4Td0uf3Isds1KRJJkqR3mDySJEnSAsMEmiRJCx6HrUmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVMmG2ZIkSU0yef1BXe+w7ZnNCUSSJKkbrDySJEmSJElSJSuPJEmS5pO28W1dbr+wSXFIkiTNT1YeSZIkSZIkqZLJI0mSJEmSJFUyeSRJkiRJkqRKJo8kSZIkSZJUyeSRJEmSJEmSKjnbmiRJ0tw6btmutw9YszlxSJIkNZGVR5IkSZIkSapk8kiSJEmSJEmVTB5JkiRJkiSpkskjSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIq9a47AEmSJEkLnv6jr+py+5N99ulye9uANbvcPunASd2OSZJUDyuPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVIlex5JkiRJ3XXcsnPYPrU5cUiS1ARWHkmSJEmSJKmSlUeSJElqmsnrD+p6h23PbE4gkiRprll5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIq2fNIkiSpQf/RV1Vue7JPEwORJElaQFh5JEmSJEmSpEomjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSr3rDkCSJEmSpIXaccvOYfvU5sQh9RArjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZWcbU2SJEmaz9rGt3W5fdKBk5oUiSRJ756VR5IkSZIkSapk8kiSJEmSJEmVTB5JkiRJkiSpkskjSZIkSZIkVbJhtiRJkqSmm7z+oC63D3p4cpMikSTNiZVHkiRJkiRJqmTySJIkSZIkSZUctiZJkiQ1WVdDthyuJUla0Jg8kiRJ0nzVNr6tctuFTYxDkiTNHw5bkyRJkiRJUqUeTR5FxE4R8UhEPB4RozvZvn5E3B4R/46IL/dkLJIkSZIkSeq+Hhu2FhG9gDOBkcAU4K6IuCIzH2rY7SXg88DuPRWHJEmSJEmS5l1P9jzaFHg8M/8MEBEXALsBM5NHmfkP4B8RsUsPxiFJkqT56bhlu94+YM3mxCFJkpqiJ4etrQ481bA8pVwnSZIkSZKkhURPVh5FJ+tynm4o4tPApwHWXNMzWZIkSZIWfF3NPAgw6cBJTYpEkt6dnkweTQHWaFjuBzwzLzeUmWcBZwEMHz58nhJQkiRJkjTfdTWM0yGckhYRPTls7S5gYEQMiIjFgb2AK3rw/iRJkiRJkjSf9VjlUWa+FRFHAdcAvYBzMvPBiDi83D42Iv4DuBtYBng7Iv4L2CAz/9lTcUmSJEmSJGnu9eSwNTLzauDqDuvGNlz+O8VwNkmSJC0g+o++qsvtT/ZpUiCSJGmB0JPD1iRJkiRJkrSQM3kkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVKlHp1tTZIkSZLUucnrD+py+6CHJzcpEknqmpVHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVsmG2JEmStAA58/Abutx+5NjtmhSJJEkFk0eSJEmSVKH/6Ku63P5knyYFooVa2/i2LrdPOnBSkyKR5o3D1iRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTDbEmSJEkLHGedk6QFh5VHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlUweSZIkSZIkqZLJI0mSJEmSJFXqXXcAkiRJkiS1ssnrD+py+6CHJzcpEqlzVh5JkiRJkiSpkskjSZIkSZIkVTJ5JEmSJEmSpEomjyRJkiRJklTJhtmSJEmStAA68/Abutx+5NjtmhRJfTwG0oLByiNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVMnkkSRJkiRJkiqZPJIkSZIkSVIlk0eSJEmSJEmqZPJIkiRJkiRJlXrXHYAkSZIkqTVNXn9Q1ztse2ZzApHUJSuPJEmSJEmSVMnkkSRJkiRJkio5bE2SJEmSpAXYmYffULntyLHbNTEStSorjyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSr3rDkCSJEmStBA7btkuN7cNWLNy24XzOxZJPcLkkSRJkiRJ6lL/0Vd1uf3JMbv06P2fefgNXW4/cux2PXr/rc5ha5IkSZIkSapk5ZEkSZIkSdICrs7qKyuPJEmSJEmSVMnkkSRJkiRJkio5bE2SJEmSVGmOjZL7NCkQaRE3ef1BXe+w7ZnNCaQTJo8kSZIkSdK7c9yyc9g+tTlxqEc4bE2SJEmSJEmVrDySJEmSJEk9qm18W5fbL/z+W13fQI1DthrNcRjnmF2aFElzmTySJEmSJEmaH7oavrcQD90zeSRJkiRJktTD5lh91aQ45oU9jyRJkiRJklTJ5JEkSZIkSZIqmTySJEmSJElSJZNHkiRJkiRJqmTySJIkSZIkSZVMHkmSJEmSJKmSySNJkiRJkiRVMnkkSZIkSZKkSiaPJEmSJEmSVKlHk0cRsVNEPBIRj0fE6E62R0ScVm6/PyKG9WQ8kiRJkiRJ6p4eSx5FRC/gTGBnYANg74jYoMNuOwMDy59PAz/uqXgkSZIkSZLUfT1ZebQp8Hhm/jkz3wQuAHbrsM9uwHlZuANYLiL69mBMkiRJkiRJ6oaeTB6tDjzVsDylXNfdfSRJkiRJklSTyMyeueGIUcCOmXloubw/sGlmfq5hn6uA72fmreXy9cBXMnNCh9v6NMWwNoD1gEd6JOh5sxLwQt1B1MxjUPA4eAzAYwAeg3YeB48BeAzAY9DO4+AxAI9BO4+DxwA8BrDgHYO1MnPlzjb07sE7nQKs0bDcD3hmHvYhM88CzprfAc4PEXF3Zg6vO446eQwKHgePAXgMwGPQzuPgMQCPAXgM2nkcPAbgMWjncfAYgMcAFq5j0JPD1u4CBkbEgIhYHNgLuKLDPlcAB5Szrm0OTM3MZ3swJkmSJEmSJHVDj1UeZeZbEXEUcA3QCzgnMx+MiMPL7WOBq4GPAI8DrwMH91Q8kiRJkiRJ6r6eHLZGZl5NkSBqXDe24XICR/ZkDE2wQA6nazKPQcHj4DEAjwF4DNp5HDwG4DEAj0E7j4PHADwG7TwOHgPwGMBCdAx6rGG2JEmSJEmSFn492fNIkiRJkiRJCzmTR5prEfGF8veWdcciSZKkhUNELFV3DJK0IFkY3xdNHnVTRCwVEYuVl9eNiF0j4j11x9Uk7Q3NT681igVERPwgIpaJiPdExPUR8UJE7Fd3XHWJiOUjYnDdcdQhIt47N+u0aIuIL5TvCRERZ0fEPRGxQ91xNVtEfDwifhgRJ0fEHnXH02wRsWX7B8KI2K88FmvVHVezRcQSEbFe3XHULSL+o/ys+LGI+I+642m2iPhARDwETC6Xh0TE/9YcVlOV/xP2i4hjy+U1I2LTuuNqpohYLCI+UHccWjCU7wv7RMQB7T91x9RMC/P7osmj7rsZ6BMRqwPXUyRUxtUaUfNMjogngfUi4v6Gn0kRcX/dwdVgh8z8J/BRYAqwLnB0vSE1V0TcVH5ZXgG4Dzg3In5Yd1w1uH0u1y2yIuL6uVm3iDukfE/YAViZ4v/DmHpDaq7yw8/hwCTgAeAzEXFmvVE13Y+B1yNiCPAV4K/AefWG1FwR8TFgIvC7cnloRFxRa1A1iIhDgTuBjwOfBO6IiEPqjarpTgF2BF4EyMz7gG1qjaj5/hfYAti7XJ4GtNT7Yma+DZxcdxwLgohYu/0EY0RsGxGfj4jlag6raSLifOAkYCtgRPkzvNagmm+hfV/s0dnWFlGRma9HxKeA0zPzBxFxb91BNUNm7l2eNbsG2LXueBYA7RVnHwF+lZkvRUSd8dRh2cz8Z/kB+dzM/FYrJRLLv4fVgSUiYmOg/QWwDLBkbYE1UUT0oXisK0XE8sx6DFarLbB6tD/2j1D8PdwXrfem8EFgo3I2VSJiPEUiqZW8lZkZEbsBP8rMsyPiwLqDarLjgE2BmwAyc2JE9K8xnrocDWycmS8CRMSKwG3AObVG1WSZ+VSHt8IZdcVSk80yc1j794XMfDkiFq87qBpcGxGfAH6TrT1j0yXA8IhYBzgbuAL4JcVnh1YwHNigxV8DC+37osmj7ouI2ALYF/hUua4ljmNEXJ+Z20fENZn517rjWQD8X0Q8DPwLOCIiVgbeqDmmZusdEX2B/wS+UXcwNdgROAjoBzRWXE0Dvl5HQDX4DPBfFImiCbyTQPknLXZmFZgQEdcCA4CvRcTSwNs1x9RsjwBrUlTbAKwBtExCuTQtIr4G7AdsExG9eOdkQ6t4KzOntl7udDZTKP4ftJsGPFVTLHV5qhyulGXC5POUQzVayPTyfaA9qb4yrfe/AeBLwFLAjIj4F8XnhczMZeoNq+nezsy3ymHdp2bm6a1SiFB6APgP4Nm6A6nRQvu+2BJJj/nsC8DXgEsz88GIeD9wY80xNUvfiPgg8LGI+BXvfEkEIDPvqSes2nwLOAH4Z2bOiIjXab2KrG9TVKLdmpl3lX8Pj9UcU9Nk5nhgfER8IjMvqTueOmTmj4AfRcTnMrPV+6F9ChgK/LmsUF2Rd3rFtYoVKYY431kujwBubx+ylJmt8B65J7AP8KnM/HtErAmcWHNMzfZAROwD9IqIgRQfjG+rOaY6PA38KSIup0gc7AbcGRFfAsjMVhjmfTjwI4oq3SnAtcCRtUbUfKcBlwKrRMT3KIYwfrPekJovM5euO4YFxPSI2Bs4EPhYuW6RP8EQEf9H8T64NPBQ+Tnh3+3bW+TzQbuF9n0xWrxiTN0QEZ+k+HK0FXB3h82Zmds1P6r6RMQ9mTlsTusWVeVZtM9n5il1x1K3cuz6J4D+NCTlM/M7dcVUh/IsSn9mPQYt0+slIjodr56ZNzc7lrqUJxgqZeYfmhWL6hMRS1JUo7Y3jL8GOD4zW6o6NyK+1dX2zPx2s2KpS0SsnJnP1x1HXaKYZGdz4CVge4oTr9dn5kJRZTA/lcO49wUGZOZ3I2INoG9m3jmHqy5SImIDiuTB7Zn5q4gYAOyZmYt0j0Q/HywaTB51U0SsC3yZ2b8gtUziJCKOyczv1h1HXRr63Pyc4uxyY4+XsZm5fl2xNVtE3JiZH6o7jrpFxO+AqRTDtmaOWc7MlmkOWTZAXJuiSW77McjM/HxtQTVZeVatXR+Kni8TWun/g4rZ5iiqUleh+P/QqkMzJCLiMeAvwK+BSzLzlXojar6IuD0zt6g7jrpFxI8phuttl5mDyj6J12bmiJpDUxOVybJn208mRMQSwKqZ+WStgTVRRPwAOJ6i9cnvgCHAf2Xmz2sNbC6YPOqmiLgPGMvsXxIn1BZUDSJiV97pCn9TZl5ZZzzNVDY+PYii4VtjBdY0YFxm/qaOuOpQll8vS/Gh8LX29a02hDEiHsjMjeqOo04RMRkbIM6iPKv6g8zce447L+Qi4tbM3CoiplH29WjfRIslTiLiceBjrVhZ0C4irgNGtScKyi+JF2TmjrUG1iQRcWpm/lfDMI1ZtNjwDKKYln4vYHfgIYrXwgL/JWl+iYhvU/R+a+lG0e3V+RFxb2ZuXK67LzOH1B1bM0TEJDp5P2iXmYObGE5tIuJu4AOZ+Wa5vDjwx1ZKIkbExMwcWva92h34InDjwvC3YM+j7nsrM39cdxB1iojvU5xR/0W56gsRsWVmfq3GsJrGPjez+ED5u3F4VgKtVmlxW0S0ZWarzSrVyAaIs5sCtERSMTO3Kn/b0wKea+XEUWmlxgqTcnapVWqMp9nOL3+fVGsUC4hyWNKdEfE/FJNLjKeo3m4V7Y2i34qIN2jBpHqp1RuHf7TuABYQvdsTRwCZ+WYLzj640M7YbfKo+/4vIo6gaHzX2OTrpfpCarpdgKGZ+TbMnIr5XopG4ou8iNivPGPWv73pZaMWaYAJgEPWZtoKOCgi/kLxvtD+wbAlziKVVqLFGyBGxOm8c1ZxMYrm2ffVFlBNyi8HqzLr0O6/1RdR090dEb8GLmPWv4WWqUoF3o6INduf94hYiy7OuC9q2qvR7eEBEbEMsAdF5dHaFJ+fN601qCYzqT5TSzcOd6bqmZ6PiF0z8wqAiNgNeKHmmJptoZ2x2+RR9x1Y/j66YV0C768hljotR9H8D4phS61kyfL3+2qNYgEQEcd2tr7VGkUDO9cdwALguLoDWAA0DmN9i+Js0h/rCqYOEfE5ipkon+OdM8oJtFIidRngdd5pFg3FMWil5NE3gFsjoj15sg3w6RrjqUVEbEnx3rgWxWfu9hMLrfSZ8T6KROp3MvP2mmOpTTl0cyBFPzygtSZTAMjMX0TEBN5pHL57K1ZpRsTmwOnAIGBxoBfwWgtVoh0O/CIiziiXpwD71xhP02Xm6IjoOGP3bnXHNTdMHnVTZg6oO4YFwPeBeyPiRoo3/21okaqj0trl74cy86JaI6nfaw2X+1CU5LbcB4HM/GtEbAUMzMxzyzMILZVczMw/lNUFAzPz9+VsS73qjquZyiGtre4LwHqZ+WLdgdQlMw+uO4a6ZebvImIYxSxTAXwxM1vtzDLA2RS9LGbpk9li3t/KfX4AIuJQivfGfhSTSmwO3E7rDfEHeAz4J+V30MYKxRZyBkUl3kUU/VMPANapNaLmejszN4+I91H0X55WNtFuGeVn5COBNSlOrKwGrAcs8D2EbZjdTRHxHuCzNDSLBn6SmdNrC6oGEdEXGEHxofBPmfn3mkNqmrLh3TCKxz2s7ngWJOWU9Ve0SlPUduV0zMMpvjSvGxGrARdl5pY1h9Y0EXEYxT/AFTJz7YgYSDH74PY1h9Y0VhkUMzACIzPzrbpjqUtE9KM4q7wlRcXRrcAXMnNKrYE1QUSsn5kPl4mj2bTgZAp/yszN6o6jTuXJlK8AGzJr1U3LJE7Kz40jgDvKJrnrA9/OzD1rDq2pOlSmzqA1h/gTEXdn5vCIuL/9sUfEbZn5gTldd1HQ3ji9w7oJmblJXTE1Wzm0fQJwQGZuVM44d3tmDq03sjmz8qj7fkzR5Op/y+X9y3WH1hZRDTLzWeCKuuOoye8oxuYuFRH/pPznBy3bALHRkrTeEE4o+jlsDNwDkJnPRESr9Tg4kqKPxZ8AMvOxFmuQCy1cZdDQ/+3PwE0RcRWz9vtpmV5wwLnAL4FR5fJ+5bqRtUXUPF+iSCKf3Mm2lplMoSF5dmNEnEgxZLHx76GVkmi/oJiR9aMUw1UOBJ6vNaLmeyMz34gIIuK9ZYJ1vbqDqkHLV6aWXi8bRE8sp2x/lqKh+iKtTJpuCCwbER9v2LQMDYnlFrF2Zu4ZEXsDZOa/YiHpmG3yqPtGdJhG74aIaLmGqK0sM48Gjo6IyzNzoRif2lM6TDvaC1iZWWdeaxVvZmZGRPsMIov8h4BO/LucMQOAiOhNCzXILU3NzN/WHURN2pOlfyt/Fi9/WtHKmXluw/K4iPivuoJpsuvK35/KzD/XGkm9OibPhjdcbpkkWmnFzDw7Ir5QNhD/Q0MvrFYxJSKWo+j9dF1EvAw8U2tE9XgKmFp3EAuA/Skm1TiK4oTTGsAnao2oOdajSCIvB3ysYf004LA6AqrRm2W1Ufv3hrVpOMGwIDN51H0zImLtzHwCICLeT4udYVYhM3fr0ONlCYrpJ6fVHVsTNU47+hbFFNWtOFzlwoj4CbBcOXzrEOCnNcfUbH+IiK8DS0TESOAI4P9qjqnZWrbKIDO/3XFdRCwGvC8z/1lDSHV6ISL2A35VLu8NtMqZ9q9R9PG4mGJ4d0tyJtJZtLd1eDYidqFImvSrMZ6my8w9yovHlUN7l6WoYm8JVqbOquyTuQTQt7P/nYuqzLwcuDwitmjl5vmlb1G8B6wREb+gGOZ+UK0RzSV7HnVTRGxPUX7+Z4phSmsBB2fmjbUG1kRldnRKZv47IralmEXnvMx8pc64ms0eL4WIGAJsXS7enJn31xlPXcqEyQ4U7wvXZOZ1c7jKIqVMFHyKhmMA/KyVGqWWXwo6yhbr7fFLiqEpMyiG7y0L/DAzT6w1sCaKiDUpGqJuQXFW8TaKnkeL/DTNEfF7iirUjYHZZpLKzF2bHlSNIuILFJ8Zp1GcUBgGjM7Ma2sNrIki4qPALRTVFadTDFH5dvs03a2gnF3rwfaTi+Ww9g0y80/1RtYcZV/IKtlqM/RGxMeAk4DFM3NARAylmI2wJd4fI6IPxefFjn3QDqktqBpExIq8M6nEHQvLpBImj+ZB2RR4PYon++HMXCjKzOaXiJhIUYLdn+IL4hUUY5g/UmNYTVceh00pGmdvXK6blJlttQbWROUH48N4ZwrqPYCzMvP0+qKqT0QsQ0NFZ2a+VGM4UtNFxMSyIey+wCbAV4EJrdYQtVWVfTyGAefTSS/IcthSy4iI+zJzSETsSNEX7hjgXCfbaC0RcS8wrP1kSnmy5e5Wex1ExKiOsxR3tm5RFxETKIau3tTw/eH+Vvk/GREXAQ8D+1C0utgXmJyZX6g1sCaLiNV5Z4IVADJztpMuCxqHrc2liNguM2/o0OALYO2IIDN/0+kVF01vZ+ZbEbEHcGpmnl7+Y2w19ngpzhxslpmvAUTECRTTz7ZU8igiPkPxD/BfwNu800S9ZZqHl2eXv8vsM421TAP5iFiWohS5fTbOP1CcTWylHg/viWJW0t2BMzJzensvsEVdRHwlM38QEafTyf+CzPx8DWE129mZuX9E/LTVEkUV2hugfoQiaXTfwtIUdX6JiHUpJpZZtZxVaDCwa2YeX3NozRSNVbiZ+Xb5mbHVtA9rndO6Rd1bmTm1xd4KGq2TmaMiYrfMHF9WLF9Td1DNVH5f2hN4kOJ7AxSfG0weLUI+CNzArA2+2iXvVF60gulld/gDeed4vKfGeOpij5fig3Fjz6/2qVdbzZeBDReWktMecirwcWBSKw1V6+Ac4AHgP8vl/SmGrHQ86bAoGws8CdwH3Fz2hWuVnkeTy9931xpFvTYpn/N9I+KndPh/0ILVmBMi4lpgAPC1crjS23O4zqLmp8DRwE8AMvP+8stiKyWP/hwRn6dIokHxebFlGspHxM4UCdTVI+K0hk3LUPTLbDUPRMQ+QK+y5cXnKYY3t4r2PmivRMRGwN8pRrO0kt0pRu0sdKOXTB7NpcxsH6/7ncz8S+O2iBhQQ0h1Opiip8X3MvMv5eP/ec0x1WE0ReXNJOAzwNXAz2qNqPnOBf4UEZeWy7tTTFfeap4AXq87iJo9BTzQwokjKKZebZwx5dvl8NaWUA7FeC4zV29Y9zegJZoHZ2b7yYPXOxuaUUNIdRhL0QT0/RQ9rxqTR61WjRnAsRSzkP45M18ve1wcXG9kTbdkZt7Zocqi1RIGhwOnAd+k+Du4nqJnZqt4hiKpPgp4lOIYzACeo5htrNV8DvgGRdPwX1FU3Xy31oia66yIWJ5iGO8VwPso3itbyZ8pCi8WuuSRPY+6KSLu6ThGOSImZOYmdcXUbOXwlKszs9XOnqkTEbEJxSwBQdEwu+WGMEbExpSJNGadQaQVhqkAEBEjKD78/IEWnUUlIm4Hjs7MW8vlLYGTMnOLeiNrnoi4OTO3mfOei66KzwmzrVuURcSPM/OzdcdRt1b7fNiZiPgtxZTkF2XmsIj4JPCpzNy55tDUJOVQ5u9R9EF7kuLz4hoUn5u+npnTq68tLToahrWvDgyhSCQvVN8brDyaSxGxPkVX+GU79D1ahoZO8S1iL+BHEXEJxRj+yXO6wqKo/GJ4HLP3eGmZM6ulicCzlO8nEbFmZv6t1oia7ycUw1on0XpDEtp9D3iV4v1w8ZpjqctngfFl76MAXqIY3ttKrouILwO/Bl5rX9kKw5UcmvGOzPysM3ECcEdEjMjMu+oOpEZHAmcB60fE08BfgP3qDUlN9gOK6pK1GmacW4ZixrGTgJZolBwRXc4w2EKzrS0HHEAxVK2xWfQCnziZD9qHtU+gqLpqtFBU9Fh5NJciYjeKITm7MuuTPQ24IDNbaaxq+5v+3hTl10lx9uBX7f8UWkFEPExRbjuBhr4/mflibUE1WUR8jqJB8HO80+8oW2XGiHYRcVtmfqDuOOoUEXdn5vC641gQlO+PZGar9PqZKSL+0snqlkiql8mSoRTN8xtL8KcBN2bmy3XEVYeyv8unafGZOCPiIYrZeZ+kSKa25P9IgIhYClislT4nqhARjwHrdhzWHhG9KGatHlhPZM0VEc9TDPH/FUWleseecC0xyUBE3AbcQYcTrpk5vragmiwivpCZP5rTugWRyaNuiogtMvP2uuNYEETEShRnj/6LolHoOsBprfLhMCL+lJmb1R1HnSLicYrZ1lomYdaZiPge8FeKhumN5aeLfLVFu4gYA9yQmdfWHUtdyn4m3wK2okiq30rRJ6+l/z5aTTlEI4D1KV4Hj2Tmm/VG1VwRcT+wRcNMnEsBt7da0qRsHj6bzPxrs2Nptoj4UlfbW2VIc9kL7pOZeWHdsdQlIh7NzHW7u21RUybLRlKcfB8MXEVx4v3BWgNrslYbxt2ZiuHt92bmxnXFNLccttZ9z0XE/wGbU3wovB34Yma20qwJHwMOAdYGzgc2zcx/RMSSFEmklkgeATdGxIkUZ1YbEwb31BdS0z0FtNI05FX2KX9/rWFdSzWHpRia8JWIeJN3ZtLIzFymxpia7QKKaVbbm2bvSzF868O1RdRkZeLks0B736ObgJ+0WE+LkRRDWZ+gSCINiIjPZOZv6w2rqZyJkyJJ1GH43i2ZeV+dMTXR0nUHsCDIzLcj4iigZZNHwEMRcUBmnte4MiL2Ax6uKaamy8wZFBMK/C4i3kuRRLopIr7TKifeS+dHxGHAlbTYCddytvJ9KD4XNI5kWhpYKE40WnnUTRFxB3AmRckhFP1/PtdKFSgRcR7ws8y8uZNt22fm9TWE1XQRcWMnqzMzt2t6ME3WcEZxQ4qS/Kto0SbJUrvOmuO22nC+iPgZxQwi7eXn+wMzMvPQ+qJqrnJI80cz8/FyeW3gqsxcv97Imqf8H3Eg0DgT57jMPLWumOoQEV8ADqPFh++1uog4BvgXLdgLDiAiVqf4G/gXRauHBEYASwB7ZObTNYbXVGXSaBeKxFF/ilYo57TYMTiSok/mK7zT56dVhrevBQwAvk8xa3e7acD9mbnA90c0edRNnQ1Viog7MnPzumKSmi0ivtXV9sz8drNiWRCUVXdfAtbMzE9HxEBgvcy8subQmqqcTKB9yNYtmXlZvRE1V0ScRNEMsf0M8yeBDTOzy7+XRUlE3JeZQ+a0blHWcca5csr2P7TaLHQRMYzi/aCVZ+J0+J5auhdco4jYjuKkYwAPtsrJ5nYRMR7YCPgtRb/cB2oOqRYR8QRFy4sX6o5F3WfyqJvKvh6vUAxPSGBP4L0U1UgtcRYhIjanGJo2iGJWpV7Aay02PIWIWBX4H2C1zNw5Ijag+JB4ds2hqcki4tcUZ9MOyMyNImIJii8IQ+uNrHki4n8p+p61V2XuCTyRmUfWF1VzRMQ0iv8HASzFO8N1egGvttJ7Y0TcA4zKzCfK5fcDF7dSf4OI+DHFLJwXUrwuRgGPAH8EyMzfVF9bi5KImASMyMw3yuU+wF2Z2VZvZJKaLSLe5p3Ks8Yv4O2N9Fvis0I5XGuvzHy97ljUfSaPuqni7EG7ljiLEBF3UwzXuwgYTjHd4jqZ+Y1aA2uyiPgtxSxz38jMIRHRG7jXD4Wtp31oUmOzuxastngQ2Kh9NpWySeikzNyw3sjUTBGxPcX74p8pPhCvBRycmZ0N810kRcS5XWzOzDykacGoVh2G7wWwGy04fK/VWZ0svSMiLqWoQLuRWVtefL62oDTXbJjdTZk5oO4YFgSZ+XhE9Cqbv51bTrvYalbKzAsj4msAmflWRMyY05W0SHqzrDZqT5ysTcM/xBbxCLAmxaxzAGsA99cXjuqQmde3fzGi+LL8cGa21N9CZh5cdwxaMGTmDyPiJt4Zvndwqw3fi4jlKE4y9qfhe0eLfVE8l6I6+QPl8hSKE7Amj9SKLit/Wk5EXJ+Z20fECZn51brjmRcmj7rJmWQAeD0iFgcmRsQPgGcphmq0mtfKqbnbEwab02Izj0XECh2HakbEgMzsqkJvUfQtihk01oiIXwBbAgfVGlHzrQhMjog7y+URwO3ts0lk5q61RaamiYhRwO8y8/6I+CbwrYg4vpVmoYyIfhRDu7ek+P9wK/CFzJxSa2BNVjYGHZiZvy+T670zc1rdcTVTeSLhwcy8JyK2BbaOiL9k5iu1BtZcVwN3AJOAt2uOpS5rZ+ae5UxLZOa/yl5oUsvJzPFz3muR1TciPgjsGhEX0GEW0oXhs5LD1rrJmWRmfiD8B8Vx+CKwLPC/7TPLtIqyGejpFM3vHgBWBj6ZmS1TbRERfwR2zsx/lssbABdm5kb1RtY85fCsTwLXA5tT/CO4o9UaAZb/DCtl5h+aFYvqExH3Z+bgiNiKYjaRk4Cvt9iMpNcBvwTOL1ftB+ybmSPri6q5ymmYPw2skJlrl9VoYzNz+5pDa6qImEgxvL8/xQmG/6MYrvSRGsNqqoi4p5V6nnWmrM7fHvhjZg4rk4q/ysxNaw5NUhNFxCeBT1FUo97dYfNCMWO3yaNuciYZNSr7HLUPz3ikxSrQiIhdgK9QTDu6HnAexZekiXXG1WwdZ1dSa4mIFbra3goTKbRr7/sVEd+n6Hn1y8ZeYK0gIiZ2bJbf2bpFWZk02RT4U0MfuEmt1hOwPXESEV8B/pWZp7fg38MXgVcphmg19jdppffFkcA3gQ2AaymrkzPzpjrjklSPiDgmM79bdxzzwmFr3TcjItbuMJNMS/S5KWcNqcw2ttrUs+WsKUfQMDV5RIxtn1WlFWTmVeVQzmuBpYHdM/OxmsOqw3UR8WXg17wzk0ZLfDiOiFszc6uGGcdmbqJ1Zg+ZwDuzrXWUwCI/kUKDpyPiJ8CHgRMi4r3AYjXH1GwvRMR+vDPz4N7AizXGU4d/Z+ab7SNzyhMtrXi2cno5VOkA4GPluvfUGE8d3gROBL7BO6+BlnpfzMzrypko26uTv9Bq1clSRxGxVGa+Nuc9Fz2Z+d2I2JWGNjgLSwN9K4+6qZVnkimHqwG0T73dXpK/L/B6Zn6n+VHVJyIuBKYBPy9X7Q0sn5mj6ouqOSLidGb9IrAdxd/Ek9ByjTCrZmFsidkXpUblrEI7UVQdPRYRfYG2zLy25tCaJiLWBM4AtqB4n7yN4sviX7u84iKk7If4CkXS5HMUJ1oeasFZWTcADgduz8xfRcQAYM/MHFNzaE0TEU8Am7VisqRsb1BpYehvIs1vEfEB4GfA+zJzzYgYAnwmM4+oObSmKauzNwV+Ua7aG7g7M79WX1Rzx+TRPCjPpLbsTDIR8cfM3HJO6xZ1rTyEMSIO7Gp7izfDa0nlF+bZZObfmh1LnSJieWAg0Kd9XWbeXF9EzRcRvYBVmXVmpZZ6HbS6shfcp4AdKD4rXZOZP603KtWhnDRhr8x8ve5Ymi0i2k8s96HofXUfxd/DYIohnVvVFZtUl4j4E0Wv0CsahjU/0GL9Uu8Hhmbm2+VyL+DehWEUj8PW5kGZLGqZpsidWCoitsrMW2FmBrkVZ1u7NyI2z8w7ACJiM+CPNcfUFJk5vnyjG5+Z+9UdT10iYrvMvCEiPt7Z9sz8TbNjqtFVDZf7AAOAR4AN6wmn+SLiUOALQD9gIsUQhdspKvNaQkR8jmL2wed4Z2alpPiypNbxucz8ETAzYRQRXyjXtYyI2BI4jqJKvTfvDOdtparUGRSz897IrD2PFvkK5cz8EEA5q9KnM3NSubwR8OU6Y5PqlJlPdZhwsCVawHSwHNDe3mLZGuPoFpNHmhefAs6JiGUpvhRMBQ6pN6Tmaej99B7ggIj4W7m8FvBQnbE1U2bOiIiVI2LxzHyz7nhq8kHgBt7pZdEogZZJHnVshFuW63+mpnDq8gVgBMVsex+KiPWBb9ccU7N9gWI2qVbr8aNZHQh0TBQd1Mm6Rd3ZFLPSTqA1vxwBXFb+tLL12xNHAJn5QEQMrTEeqU5PlYUHGRGLA58HJtccU7N9n6II4UaKkwrbAAv8kDVw2Jq6ISK2oPhSlOXyMhSvoan1RtZcDb2fOtVifS1+AgwDrmDWRtE/rC2oGkTEgMz8y5zWtZpWm6I5Iu7KzBHlTFObZea/W3CWrRuBkZn5Vt2x1CUi3ttxOHtErNAiDfT3BvahmEjiloZNSwMzMvPDtQRWk4j4U2ZuVnccdSkrlK9ptee9o4j4FcVnpJ9TnFjaj6Lfy961BibVICJWojiR8GGKxMm1FH0BW+qkU9kTcgTFMfhTZv695pDmipVH3RRFjd2+wPsz8ztln4//yMw7aw6tGQ4EzoyIR4HfAb9bWF7o81MrJYfmwjPlz2IUXw5a1SUUSbRGFwOb1BBLLSLiSw2Li1Ecj+drCqcuUyJiOYqz7NdFxMsUfx+t5M/ATRFxFbMOUWmlhPJvImL3zJwOMz8gXklrvB/cBjwLrASc3LB+Gq053P/GiDiRogq18e+hJRollxXKr0fEsq12orGDg4HPUlRmAtwM/Li+cKT6lM3z9607jrpl5rMUJ98XKlYedVNE/Jiij8N2mTmobI56bWaOqDm0pimHYuwM7EgxRvNGimTSHzOzVcuyW1pELE3Rx+HVumNppvJvYUPgB8DRDZuWAY7OzFbq9/OthsW3KGbeuyQz36gnonpFxAcp3h9/10rDOju8DmbKzJYZvhcRhwG7AJ8A1qD4cPjlVppxToWGhsmNMjNbqQ/ahRT9365j1grlRb7nkaR3dDJT8yx8T1g4mDzqpvZhGBFxb0OH+JaYYaszEbEE8CGKZNIWmTm85pDURGXTx/OBFcpVLwAHZOaD9UXVPBGxG7A7sCuznj2YBlyQmbfVEZfq4Yxz72jVhHK7iDgS2AnoTzEFcUu9F0TE5sDpwCBgcaAX8FpmLlNrYGq6qtlZW2FW1oYemZ1aGGZWkuYXZ2peNJg86qZyesEPAHeVSaSVKSqPNq45tKZyKmYBRMRtwDcy88ZyeVvgfzLzA3XG1WwRsUVm3l53HHUqp2OulJm7NiuWujR8UQgaZpxrsQq0lk0odxi6GcD+wCTgXmitoXsRcTewF3ARxRTlBwDrZOY3ag2sycqJRb5F0QwV4A/Ad1ptCFd5onHNzHyk7liayR6ZUrWyd25m5rS6Y6lDRGwFDMzMc8t8wvsWhl6p9jzqvtOAS4FVIuJ7wCeBY+oNqbmcirlQTs9+ArAKxReF9il4W+nM6lLtiSOAzLwpIpaqM6CavBgR1wOrZuZGETEY2DUzj687sCb6C/AfFA1BAfamGLp2TV0BNZszzgFwFvClDgnln1KcdFnUdez7dmnF+paQmY9HRK9yOPu55cmGVnMO8ADwn+Xy/sC5wMdri6jJIuJjwEkUFWgDylnGvtMKJxQak0NlImlgZv6+TKb5HUwtKSKGU7wPLl0sxivAIZk5odbAmqgc4j8cWI/iWLyH4vPzlnXGNTesPJoHZZ+T7SmSBddnZktNLxgRj1PMJNRSXfE7Ko/Dx1rt+W8UEZcC91BUGkAxg8jwzNy9tqBqEBF/oOh59JOG4awPZOZG9UbWPBFxc2ZuM6d1raYFZ5ybbRh3Kw/tblURcTPFTDo/A/5O0UT7oFZ7HXQ222ILzsA4AdgOuKnh/+Okjsn2RVnZB+3TwAqZuXZEDATGZub2NYcmNV1E3A8cmZm3lMtbAf/bSsM4y1l5NwbuaXhfvH9hOAaL1R3AwiYizs/MhzPzzMw8IzMnR8T5c77mIuUpoKVKris818qJo9IhwMoUM8lcSjHDzsG1RlSPJTuZcbHVpipfOSLe374QEQMoXhstIyK+1PDz5Yj4Ja0349yfI+KYiOhf/nyToiqtZUTEdeWse+3Ly0dEy1Tglfan+Ix5FEWT5DUoGoi3mn+VX4wAiIgtgX/VGE8d3upkmF6rnbk+kqKi4J8AmfkYRdW61IqmtSeOADLzVopeoa3kzSwqeBJgYRq1Yclk983Su6Ls/dMK0+82aumpmMvhagB3R8SvKablbjwOv6kjrpos7+wIALwQEWvzzj+BT1KcaW8lX6R4X/hzudyf1huy1Tg86S3gKuCSmmKpyyHAtykSykExJXWrJZRXzsxX2hcy8+WIaLUvisOAqzPznxSvh1b1WWB82fsogJeALpvGLoIeiIh9gF5lxc3ngVYbwvjvzHwzIgCIiN60XgJNLa4cyg9wZ0T8BPgVxd/BnsBNdcVVkwvLY7BcWZl4CMUQ/wWew9bmUkR8Dfg6sATwOsWHAIA3gbMy82t1xdZsrT4Vc0Sc28XmzMxDmhZMzcqhCasDd1F8SbwlMyfVG1XzlRU3Z1H0dXmZotJi31ZrhhkR7wXWLxcfzsx/d7W/Fl3ll+W3W7ERZjlMZ4/2SSTKXieXttjwxXMphirdDFwAXJOZrVaNOVPZGJYymdZSImJJ4BvADuWqa4DvttL/h4j4AfAKReP4zwFHAA+1WgN5tbaIuLGLzZmZ2zUtmAVARIykeF8Miv+R19Uc0lwxedRNEfH9VkoUdcWpmGPLzPzjnNYt6iJicWAEsC1Fpcn7MnOFLq+0iCrLThejGJawZ2b+ouaQelxEfCUzf1BeHpWZFzVs+5/M/Hp90TVXRKwLfJmi6qpxJsqW+UAUESMomgS3V2FNpfUaYe5EkUz+Q7lqG+DTmdlSQ9ci4j3AzhRnlbcCrsvMQ+uNqrkiYkWKCUa2ojjDfitFs+iW6RnZ8f9C1bpFWUQsBnyKhi+KwM/SL2GSFjImj+ZBROzKO9Ou3pSZV9YZT7O18lTMjTprhNuCzXG3ArYuf5YDJlJUH/2qxrCapjybfCRF9dXlwO/L5S8D92XmbjWG1xSNr/mOr/8W/Hu4DxgLTABmtK9vscRJyzfCBIiIlYDNy8U7MvOFOuOpS5lA2oli6OLWmdlqfdCuo6i+ap+Fcl9g28z8cH1RNVcrf1aKiLOA3wK/b8UqTKlKROxC0QqmT/u6zPxOfRE1VyzEM3bb86ibIuL7wKZAe0XBF8pqk1aqRmrlqZiJiC0oHuvKEfGlhk3LAL3qiao2fwDuBr5P0d/izZrjabbzKYap3Q4cBnyFYjri3TNzYo1xNVNUXO5seVH3Vmb+uO4gajZbI8yIaMUvTR/gnZNMAK12kmknYC/gQxS9LH7GO9PVt5IVMvO7DcvHR8TudQXTTBGxM/ARYPWIOK1h0zK0zoQS51AkT78UEW8C1wK/y8z76g1Lqk9EjAWWpPj/8DPgk0DHSWcWdT9gIZ2x2+RR9+0CDM3MtwEiYjxwL9BKyaOl2hNHAJl508LUJX4+WBx4H8XfT2OD3H9SvAG2khUpZhDZBvh8RLwN3J6Zx9QbVtO8v3264Yj4GUUV3potdoYxKy53tryo+7+IOIJi5sHGJvov1RdS03XaCLO9UWZm3lNncM0QEWMohvK28kmmgyh6HX2mlXrbdOLGiNgLuLBc/iRFI/1W8AzFyaVdKaox202jmGBhkZeZdwB3AMeVQxh3AP47IgYD91Akki7s6jakRdAHMnNwOTX9tyPiZIpJNlrJQjtjt8PWuqksyd+2/ctARKxAMXStZUryI+JSin9655er9gOGZ+butQVVg4hYq9UaIncmIgYBH6QYuvYB4G+Z+cF6o2qOVh+mBRARMyim4g7emVCAcrlPZr6nrtiaLSI6m5I+M/P9TQ+mJjbEnPk5ofEkUy/g3lb6nKBCWXW3FMUw1qDoifdauXmhGKLwbkXEezJzenl5WCskkOdGRGwC7JSZ36s7FqmZIuJPmblZRNwBfBx4EXggMwfWHFrTRMSPgP/g/9u79yjLyvLO499fA0KDIF6IEpWLIFHE5iImEYgRBaNjxKgoKhoGGY0Tl4BOkonGiaJxzIxiZHQ0itBBjJIYJSNq4gUNiM7YCnITxShIMsbEeAkQWhHwyR97H/t0UdV01Tk5b1Xt72etWnX23t1r/TiLqt7n2e/zvCtwx25XHi3e64Ev9TfIoVtxMaSniTDwrZiTXMCmLdnvdL2qjpl1plaSfAO4FvgM3ayXEwfWunZgktHuOQHW9scrpnd5UlU1tFbNBVXV3q0ztFZVR7bOsEzsSrctO8A9GuaYqSSXVNURfdFk/OnkYH4njquqne/6T61uo8JR713AYB6wzBltcCcWjjRQH06yK/AGusUIRfe7YUh2oXvY+vixc8UKWIHlyqMlSLI73ZL0AJ+vqn9sHEkzlGSLq2qq6qItXV9NkqwZPV2XBEkO4867rb27WaAZS3IKsJ6uNeVMug+Kv1tVH28abIaSPBv4Q2D8IdMrhrKRgDZJcjhweVXdkuS5dD8Pb66qv2scrYkkX6qqg1vnmJUkr+pf/hzd54YP9cdPBi4e2u6DEkCS7UftzEm2pxua/aOBtzivGBaPlqDvVd6LzT8cLPtK4aSSvLmqTh1feTNuSCtuJGmuJOcC+9DtOjjaba2q6uRmoWYsyRVVdWCSX6HbefC/AesH2M452IdM/bbkV1bVAa2ztNa3MB4IrKNr9T8LeNpQWrvnSvJrVfWXrXPMWpKPA08fzUNMsjPw/qp6Qttk0uwNeQfGkSQPAN5CNze2gEuAU6rq/zcNthVsW1ukJGfT3QR8GRituFgRy8ymYDTj6I1NUywTSR5M18a4P5tvNTmY+SaSNnMosH8N+6nMqJf3P9AVja7IfP29q1iSC6vqcWxaZTB+btWrqp8kuSLJHkNdYTPm9qqqJE8Bzqiqs5Kc0DrULI2G5ff+rj++Ebihqoay69oewHhL/4/pHkJLg5HkfsD96UY8HMym+4Vd6HZfG5L1wHuBZ/THz+3PHd0s0VayeLR4v1hV+7cO0UJVjXbLOKiqzhi/1rcqDKZdq7ceeBXwR3TbTZ7I8LYml7TJ1XQDEL/dOkhDl/ZP2fcGXt4/YR9Ea2uSHehugO+T5J5sfmP8s82CtbE78OUkG9g0IHqIK5RvTvJyug8Gj+6Hpw9mE4He2+ja9a6k+5k4oH997yQvGkhL67l0O1GeT/fA+anAYNqZpd6v0O3E+QDgTWPnbwZe0SJQQ7tV1fqx4z9JcmqrMIth29oiJTkLOL2qrmmdpZUFlhsOqo8dIMmlVfWIJFeNbdf+mar6pdbZ/r1txRDIN23purQa9RspHARsYPPdMwbzgblvWToIuK6q/qXfnvr+VXVl22T//vqHKKfSFYq+xabi0U3AmVX11kbRZm6h2YBDmgkIP33S/hzgC1X1mSR70O3YO5jCQZLzgNdW1Zf74/2B3wZeC3ywqg5qGG9m+hVXo/vDi6vqSy3zSK0keXpVfaB1jpaSfBL4E2A0C/HZdJsOLfsVyhaPFinJo4ELgH+k+3Aw2kFk1W/B2w8BfQ5wBN3uWiM7A3dU1VFNgjWS5LN0NwJ/AXyK7sPCH1bVzzUNNgMOgZTuzA/MAkjykqp6S+scLfSrr14E7AtcBZw1oNYkzSPJ5XMLRKNz811bTZLca0vXq+r7W7ourSZJnltV70nyX5h/du5gHjz3DxLeCjyK7r34HN3MoxuaBtsKtq0t3tnA8+huigaxFH/M5+jaMe4DnD52/ma6JchDcypdi8LJdE/QjgQGMcugqk6Dnw6BPGRsCOSrgfc3jCY1M7dI1O+09ByG19I7SEkeCfz9qHCU5NeBpwM3AK8eyAfFc4Db6B4wPZFuJuApTROptWuTvB04rz8+Dvhav8vSbe1izcSldB8MR6sQRx+Y0792RqaGZKf++92bplgG+nmAK3JVuiuPFinJp6rqsa1zaPlIslNV3XLXf3L1SfJV4MA5W25eUVUPaZtMaiPJQXQFo2cC1wMfGFK70pAluQw4qqq+369SPg94CV0b30Or6tiW+WZhThv3tsCGIe2goztLshb4TbpV66HbVehtwI+AHavqXxvGkzRD/dy3k6vqj1pnaSHJ72/hclXVa2cWZolcebR4X03yXrrWtfGZFkPYbQ2AJL9It73gQ4G7AdsAt1TVLk2DzViSR9Ftu3t3YI8kBwK/UVW/2TbZTDkEUoOXZD/gWXQ9698D/ozu4cyRTYM1kOTcqnreXZ1bpbYZW110HPDOfq7DB5Jc3i7WTP10JUlV3T6wjfY0j6r6Id1q9dPnubyqC0dJHlJVX52z49xPVdVls84ktVRVdyQ5hm6zoSGab7HBTsBJwL3pOlmWNVceLVKS9fOcrqp6/szDNJLki3QflN5PtzX1rwP7VtXvNQ02Y0k+DxwLfGg0LDzJ1VV1QNtks+UQSA1dkp/QtemcVFVf789dV1WDa0mYu6FC/5TxqiHsUprkarrdSG/vV2W+sKouHl0bwr8NSe5g081xgLXARjbNhxzaQ6bDgVcDe9I9sB29D4P53TDPewDAEN6DJO+sqhf2mynMVXYyaIiSvA64B92DtvHdOAdVTO13oz2FrnD053Qbcn2nbaq75sqjRaqqE1tnWA6q6utJtqmqO4D1ST7XOlMLVfX3c56s3tEqS0M7AjdV1fokuyXZu6qubx1KmqGn0xXUP53kr+nalQa15KLfjvwVwNokN41OAz8G3tks2Gy9D7goyXeBH9JvLJFkX+DGlsFmpaq2aZ1hmTkLeCnd7Jsh3h/AgN+Dqnph/31wq1ClLTis//6asXMFDKKY2g/SfxlwPN2cwEOq6gdtU209i0eL1LcnvB24b1UdkGQdcExV/UHjaLO0McndgMuT/E+6Ido73cXfWY3+PslhQPXvx8nAVxpnmql+17VD6XZdWw9sB7wHOLxlLmmWqup84PwkOwG/RvdB6b79kNjzq+rjLfPNQlW9Hnh9ktdX1ctb52mhql6X5EJgd+DjtWlp9xq62Ucanhur6q9ah2jM9wDo7xf3YvPVV7b5a3CGXExN8gbgaXQP1R6+Eme+2ba2SEkuAn4beMdQW5WS7An8E928o5fSLT1826hdYyiS3Ac4AziK7gn7x+m2Wfxe02Az1M/xOBi4bOzn4cqqWtc0mNRY/2TpGcBxQ2tNSHJ/7tyicnG7RFIbSf6Qbi7kB9l8TuZg2jN8D7q5b8A+wOVsWn1VVXVys1BSQ0meBDwM2GF0rqpes/DfWB36MQe3ArezafdFWEGt3a48Wrwdq2rDnFal21uFaeS7wI+r6kfAaf1Mi+0bZ5q5qvou3ZLDIftxVVWSgm7nudaBpOWgH5z8jv5rMPoPis8CrmHsQxJg8UhD9Av990PHzg2mPaPne9D9t+9fPrGXSPLHdCMvjgTeRTc/dkPTUDNSVWtaZ5iUxaPF+26SfeirhUmOpWvbGpIL6VbbjJbaraVbdXPYgn9jFUnyFjavFm9mYE+S/jzJO4Bdk7wAeD7dPwSShumpwM9V1a13+SelVW7I7RkjvgcAXA3cj+F9XpDmc1hVres7FU5LcjrdykStABaPFu/FdH2KD0nyLeB6hrf6ZIfxHs2q+tckO7YMNGNfHHt9GvCqVkFaq6o3JjkauIlu7tHvV9UnGseS1M51dLPPLB5p8JLcg+4e4dH9qYuA11TVIAaow7DfgyQX0D1s3Bm4JskGNm/dO6ZVNqmhH/bfNyb5WeB7wN4N82gRLB4tUlVdBxzVt+esofsBOA64oWmw2bolySGjfvUkj2DTL4JVr6rOGb1Ocur48dAk+R9V9V+BT8xzTtLwbKTbTOFCNv+QNKQVmdLI2XSrTp7ZHz+PbnOJpzVLNHtDfg/e2DqAtAx9OMmuwBuAy+gKrHYtrBAOzN5KSXahW3V0f+D/AJ/sj38LuKKqntIw3kwleSTdVtT/0J/anW4o7KXtUrWR5LKqOqR1jlbm++93YLY0XElOmO/8kIvsGq4kl1fVQXd1bjUb8nuQZF+63Zk/O+f8o4FvVdU32iSTlock29N1tKz6lYirhSuPtt65wA+A/wu8APgdut3Gfq2qLm+Ya+aq6gtJHkLXphTgq1V1W+NYmqEk/xn4TWCfJFeOXdoZ+FybVJJaq6pzkqwF9qiqa1vnkRr7YZIjquoSgCSHM6CV2r0hvwdvBl4xz/mN/bUnzzKMtFwkOQzYi74WkYSqenfTUNoqrjzaSkmuqqqH96+3odtxbI+qurltsjaSHADsz+ZbLA7ihz7JzWwamL0j3U0ArKBtFifVzzC4J/B64HfHLt3c7zIlaYCSPJmuVeNuVbV3koPo5ps420OD0///fw5wD7p7hO8D/7GqrmiZa5aSHAi8m+49gO5B7AlVdeXCf2t1SHJ1VR2wwLWffq6QhiTJucA+wOWM7cpqe/vK4MqjrffTlTVVdUeS6wdcOHoV8Bi64tFHgScCl9DdHKx6VbVz6wyt9ctLb0xyBvD90c9Ckp2T/EJVfb5tQkmNvBr4eeBvAKrq8iQOwtQg9SvTD+xHH1BVN7VNNHt9oWyz9yDJqcCqLx4x9oB1HmtnlkJaXg4F9i9XsKxIFo+23oFJRv/oB1jbHw9mtcmYY4EDgS9V1YlJ7ouDzobq7cD4zKNb5jknaThur6obk4yf8wZRg5LkuVX1niQvm3MegKp6U5NgDc0pnL2Mrm1rtftCkhdU1ZnjJ5OcBAxuTqjUuxq4H/Dt1kG0eBaPtlJVbdM6wzLyw6r6SZLb+ydJ3wEe1DqUmsj4k4P+/wt/r0jDdXWS5wDbJHkwcDLOQdPw7NR/n2+lssXU7sHrEJwKnJ/keDYViw6lm5n61FahpBaSXED3+29n4JokG9h8V1bb21cAP+RpKb7Yb7F4Jt0/hv8KbGiaSK1cl+RkutVG0A3Rvq5hHkltvQT4PbobwvcBHwNe2zSRNGNV9Y7+5Sfn2Wnr8AaRlptBFNCq6p+Aw5IcCYxmH32kqj7VMJbUyhtbB9DkHJitrZbkrcB7q+pzY+f2AnYZwuBD3VmSnwH+F/BYupvBC4FTq+o7TYNJktRYksuq6pC7OrcazdlcZLNLwNqq8gG2NCBJ9gXuO09B/dHAt6rqG22SaTH8xa3F+Fvg9CS7A38GvK8fBqmB6otEz2qdQ9LykORQuq2p92LsHqOq1rXKJM1akkcBhwG7zZl7tAswiDEIbi4iaY43090fzLWxv/bkWYbR0lg80larqjOAM5LsSVcwWJ9kB7rWhPOq6mtNA2rmkuxH17J236o6IMk64Jiq+oPG0SS18afAbwNXAT9pnEVq5W7A3enus8eLKDfRbToiSUOz13ydKlX1xb6TRSuAbWuaSJKDgbOBdQ4VH54kF9F9UHxHVR3cn7u6qg7Y8t+UtBoluaSqjmidQ1oOkuxZVTe0ziFJrSX5elXtu9hrWl5ceaRFS7Id8AS61UePAy4CTmsaSq3sWFUb5mzLfXurMJKae1WSd9HNPxvfReWD7SJJzWxM8gbgYcAOo5NV9dh2kSSpiS8keUFVnTl+MslJbNqNUMucxSNttSRHA88GnkS3u9p5wAur6pamwdTSd5PsQz8UM8mxwLfbRpLU0InAQ4Dt2NS2VoDFIw3Rn9LNiPxV4EXACcA/N00kSW2cCpyf5Hg2FYsOpWvzfWqrUFoc29a01ZJ8Gngv8IGq+n7rPGovyYOAd9INBv0BcD1wvMv0pWFKclVVPbx1Dmk5SHJpVT0iyZWjofFJLqqqX26dTZJaSHIkMBpv8eWq+lTLPFocVx5pq1XVka0zaHmpquuAo5LsBKypqptbZ5LU1P9Lsn9VXdM6iLQM3NZ//3aSJwH/ADygYR5JaqqqPg18unUOLY0rjyQtWZJ7A68CjqBrTbkEeE1Vfa9pMElNJPkKsA/dKsRbgQA1WnUhDUmSXwU+AzwQeAuwC3BaVX2oaTBJkpbA4pGkJUvyCeBi4D39qeOBx1TVUe1SSWolyZ7znbeVVZIkaWVb0zqApBXtXlX12qq6vv/6A2DX1qEktdEXie4NPAU4Bri3hSMNVZJzkuw6dnzPJGc3jCRJ0pJZPJI0iU8neVaSNf3XM4GPtA4lqY0kvw+cQ1dAug+wPskr26aSmllXVf8yOqiqHwAHt4sjSdLS2bYmacmS3AzsBNzRn9oGuKV/XVW1S5NgkproZx4dXFU/6o/XApdV1UPbJpNmL8kVdK3cP+iP7wVc5I6EkqSVyN3WJC1ZVe3cOoOkZeWbwA7Aj/rj7YFvNEsjtXU68Lkkf9EfPwN4XcM8kiQtmSuPJC1ZkpOq6qyx422AV1bVaQ1jSWokyV8CjwQ+QbcD49F0uzB+B6CqTm4WTmogyf7AY+l2Hrywqq5pHEmSpCWxeCRpyZK8l25A9kl0803OpluS/1stc0lqI8kJW7peVefMKovUWpI95jtfVX836yySJE3K4pGkiSQ5DvjfwEbg2VX12caRJDWU5G7Afv3htVV1W8s8UitJrqJbgQewFtib7mfiYe1SSZK0NM48krRkSR4MnAJ8AHgo8LwkX6qqjW2TSWohyWPodlv7Jl2bzgOTnFBVFzeMJTUxdzB2kkOA32gUR5KkibjySNKSJfkq8OKqujBJgJcBz/epqjRMSS4FnlNV1/bH+wHvq6pHtE0mLQ9JLquqQ1rnkCRpsVx5JGkSP19VNwFUV4k+PcmHGmeS1M52o8IRQFV9Lcl2LQNJrSR52djhGuAQ4J8bxZEkaSJrWgeQtPIk+R2AqropyTPmXD6xQSRJy8MXk5yV5DH915nApa1DSY3sPPa1PfAR4ClNE0mStES2rUlatPFl93OX4LskXxquJNsDLwaOoJt5dDHwtqq6tWkwSZIkTcS2NUlLkQVez3csaSD6ItGb+i9pkJJcwKZd1u6kqo6ZYRxJkqbC4pGkpagFXs93LGmVm7Ml+Z1U1boZxpFae2P//WnA/YD39MfPptuJUJKkFce2NUmLluQO4Ba6VUZrgY2jS8AOVeWAXGlAkuy5petVdcOsskjLRZKLq+rRd3VOkqSVwJVHkhatqrZpnUHS8jFeHOoLSQ+uqk8mWYv3Ghqu3ZI8qKquA0iyN7Bb40ySJC2JN3SSJGkqkrwAeCFwL2Af4AHAHwOPa5lLauSlwN8kua4/3gv4jXZxJElaOtvWJEnSVCS5HPh54PNVdXB/7qqqenjTYFIj/Q6ED+kPv+rOg5KklWpN6wCSJGnVuLWqfjw6SLItDtHXwCT5nbHDY6rqiv7r1iT/vVkwSZImYPFIkiRNy0VJXgGsTXI08H7ggsaZpFl71tjrl8+59oRZBpEkaVosHkmSpGn5XeCfgavoZrt8FHhl00TS7GWB1/MdS5K0IjgwW5IkTctTgHdX1Zmtg0gN1QKv5zuWJGlFcGC2JEmaiiTrgccCFwPnAR+rqtvbppJmK8kdwC10q4zWAhtHl4Adqmq7VtkkSVoqi0eSJGlqkmwHPBE4DjgC+ERV/ae2qSRJkjQJi0eSJGmq+gLSE4ATgV+qqt0aR5IkSdIEHJgtSZKmIskTkvwJ8HXgWOBdwO5NQ0mSJGlirjySJElTkeQ8ullHf1VVt7bOI0mSpOmweCRJkqYmyZ7Ag6vqk0nWAttW1c2tc0mSJGnpbFuTJElTkeQFwF8A7+hPPQD4y2aBJEmSNBUWjyRJ0rS8GDgcuAmgqv4W+JmmiSRJkjQxi0eSJGlabq2qH48OkmwL2B8vSZK0wlk8kiRJ03JRklcAa5McDbwfuKBxJkmSJE3IgdmSJGkqkqwBTgIeDwT4GPCu8mZDkiRpRbN4JEmSJEmSpAVt2zqAJEla2ZJcxRZmG1XVuhnGkSRJ0pRZPJIkSZP61f77i/vv5/bfjwc2zj6OJEmSpsm2NUmSNBVJPltVh9/VOUmSJK0s7rYmSZKmZackR4wOkhwG7NQwjyRJkqbAtjVJkjQtJwFnJ7kH3QykG4Hnt40kSZKkSdm2JkmSpirJLnT3GDe2ziJJkqTJWTySJEmSJEnSgpx5JEmSJEmSpAVZPJIkSZIkSdKCHJgtSZImkuRpW7peVR+cVRZJkiRNn8UjSZI0qSdv4VoBFo8kSZJWMAdmS5IkSZIkaUGuPJIkSVOT5EnAw4AdRueq6jXtEkmSJGlSDsyWJElTkeSPgeOAlwABngHs2TSUJEmSJmbbmiRJmookV1bVurHvdwc+WFWPb51NkiRJS+fKI0mSNC0/7L9vTPKzwG3A3g3zSJIkaQqceSRJkqblw0l2Bd4AXEa309q7miaSJEnSxGxbkyRJU5dke2CHqrqxdRZJkiRNxuKRJEmamiSHAXsxtrq5qt7dLJAkSZImZtuaJEmaiiTnAvsAlwN39KcLsHgkSZK0grnySJIkTUWSrwD7lzcXkiRJq4q7rUmSpGm5Grhf6xCSJEmaLtvWJEnStNwHuCbJBuDW0cmqOqZdJEmSJE3K4pEkSZqWV7cOIEmSpOlz5pEkSZqaJPcFHtkfbqiq77TMI0mSpMk580iSJE1FkmcCG4BnAM8EPp/k2LapJEmSNClXHkmSpKlIcgVw9Gi1UZLdgE9W1YFtk0mSJGkSrjySJEnTsmZOm9r38F5DkiRpxXNgtiRJmpa/TvIx4H398XHARxvmkSRJ0hTYtiZJkqYmydOBw4EAF1fV+Y0jSZIkaUIWjyRJkiRJkrQg29YkSdJEklxSVUckuRkYfyoVoKpql0bRJEmSNAWuPJIkSZIkSdKC3AFFkiRNRZJ9kmzfv35MkpOT7No4liRJkiZk8UiSJE3LB4A7kuwLnAXsDby3bSRJkiRNyuKRJEmalp9U1e3AU4E3V9VLgd0bZ5IkSdKELB5JkqRpuS3Js4ETgA/357ZrmEeSJElTYPFIkiRNy4nAo4DXVdX1SfYG3tM4kyRJkibkbmuSJGnqktwTeGBVXdk6iyRJkibjyiNJkjQVSf4myS5J7gVcAaxP8qbWuSRJkjQZi0eSJGla7lFVNwFPA9ZX1SOAoxpnkiRJ0oQsHkmSpGnZNsnuwDPZNDBbkiRJK5zFI0mSNC2vAT4GfKOqvpDkQcDfNs4kSZKkCTkwW5IkSZIkSQty5ZEkSZqKJPsluTDJ1f3xuiSvbJ1LkiRJk7F4JEmSpuVM4OXAbQBVdSXwrKaJJEmSNDGLR5IkaVp2rKoNc87d3iSJJEmSpsbikSRJmpbvJtkHKIAkxwLfbhtJkiRJk3JgtiRJmop+d7V3AocBPwCuB46vqhuaBpMkSdJEtm0dQJIkrWxJTqmqM4Ddq+qoJDsBa6rq5tbZJEmSNDlXHkmSpIkkubyqDkpyWVUd0jqPJEmSpsuVR5IkaVJfSfJNYLckV46dD1BVta5NLEmSJE2DK48kSdLEktwP+BhwzNxrzjySJEla2SweSZKkqUlyN2C//vDaqrqtZR5JkiRNzuKRJEmaiiS/DLwb+CZdy9oDgROq6uKWuSRJkjQZi0eSJGkqklwKPKeqru2P9wPeV1WPaJtMkiRJk1jTOoAkSVo1thsVjgCq6mvAdg3zSJIkaQrcbU2SJE3LpUnOAs7tj48HLm2YR5IkSVNg25okSZqKJNsDLwaOoJt5dDHwtqq6tWkwSZIkTcTikSRJmliSNcCVVXVA6yySJEmaLmceSZKkiVXVT4ArkuzROoskSZKmy5lHkiRpWnYHvpxkA3DL6GRVHdMukiRJkiZl8UiSJE3Laa0DSJIkafosHkmSpIkk2QF4EbAvcBVwVlXd3jaVJEmSpsWB2ZIkaSJJ/gy4DfgM8ETghqo6pW0qSZIkTYvFI0mSNJEkV1XVw/vX2wIbquqQxrEkSZI0Je62JkmSJnXb6IXtapIkSauPK48kSdJEktzBpt3VAqwFNvavq6p2aZVNkiRJk7N4JEmSJEmSpAXZtiZJkiRJkqQFWTySJEmSJEnSgiweSZIkSZIkaUEWjyRJkiRJkrQgi0eSJEmSJElakMUjSZIkSZIkLejfAJ9/3yaP3otiAAAAAElFTkSuQmCC\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "takeaway1a = pd.DataFrame(index=benefits_options)\n",
    "takeaway1a['0 to 5 years'] = (takeaway1['Less than a year'] + takeaway1['1 to 2 years'] + takeaway1['2 to 3 years'] + takeaway1['3 to 4 years'] + takeaway1['4 to 5 years'])/5\n",
    "takeaway1a['5 to 10 years'] = (takeaway1['5 to 6 years'] + takeaway1['6 to 7 years'] + takeaway1['7 to 8 years'] + takeaway1['8 to 9 years'] + takeaway1['9 to 10 years'])/5\n",
    "takeaway1a['10 to 15 years'] = (takeaway1['10 to 11 years'] + takeaway1['11 to 12 years'] + takeaway1['12 to 13 years'] + takeaway1['13 to 14 years'] + takeaway1['14 to 15 years'])/5\n",
    "takeaway1a['15 to 20 years'] = (takeaway1['15 to 16 years'] + takeaway1['16 to 17 years'] + takeaway1['17 to 18 years'] + takeaway1['18 to 19 years'] + takeaway1['19 to 20 years'])/5\n",
    "takeaway1a['20+ years'] = takeaway1['20 or more years']\n",
    "takeaway1a = takeaway1a.reindex(takeaway1['20 or more years'].sort_values(ascending=False).index)\n",
    "takeaway1a.plot(figsize=(20,10), kind='bar', width=0.6, title=\"Company Benefits vs Year of Experience as Developer\", ylabel=\"Ratio\");"
   ]
  },
  {
   "source": [
    "It seems that when it comes about benefits there are not to much difference between the different year of experience.\n",
    "**Professional development sponsorship**, **Education sponsorship** and **Meals** are things that cease to matter\n",
    "In the other hand, things like **Retirement**, **Private office** and **Remote Options**, are things that seems to be more important for people with more experience"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "## Solution:\n",
    "This question was straightforward. Probably the most problematic part was to organize the data to better understanding"
   ],
   "cell_type": "markdown",
   "metadata": {}
  }
 ]
}