{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "<!–– Hide code cells and show a button to allow user to show/hide code cells ––!>\n",
    "<script>\n",
    "  function code_toggle() {\n",
    "    if (code_shown){\n",
    "      $('div.input').hide('500');\n",
    "      $('#toggleButton').val('Show Code')\n",
    "    } else {\n",
    "      $('div.input').show('500');\n",
    "      $('#toggleButton').val('Hide Code')\n",
    "    }\n",
    "    code_shown = !code_shown\n",
    "  } \n",
    "  \n",
    "  $( document ).ready(function(){\n",
    "    code_shown=false; \n",
    "    $('div.input').hide()\n",
    "  });\n",
    "</script>\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" id=\"toggleButton\" value=\"Show Code\"></form>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# UK Python Users"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Source"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is an analysis of the **2019 StackOverflow survey** data, available [here](https://insights.stackoverflow.com/survey).\n",
    "\n",
    "The data includes information about StackOverflow users from across the world, including demographics, primary programming languages, salaries and more.\n",
    "\n",
    "This analysis looks only at **UK** users who use **Python** and are **employed full time**.\n",
    "\n",
    "The code to analyse the data and produce the charts is hidden by default but you can **view the code** by clicking on the `Show Code` button at the top left of the page."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 245,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "# Show a chart created using matplotlib directly under the code that produces it\n",
    "%matplotlib inline\n",
    "\n",
    "# Import pyplot from the matplotlib library, for creating charts\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "# Import seaborn for additional chart styles\n",
    "import seaborn as sns; sns.set()\n",
    "\n",
    "# Configure the aesthetics of the charts\n",
    "plt.rcParams['figure.figsize'] = (18, 12)\n",
    "plt.rcParams['figure.facecolor'] = '#FFFFFF'\n",
    "plt.rcParams['figure.frameon'] = False\n",
    "plt.rcParams['axes.facecolor'] = '#FFFFFF'\n",
    "plt.rcParams['axes.spines.top'] = False\n",
    "plt.rcParams['axes.spines.right'] = False\n",
    "plt.rcParams['savefig.facecolor'] = '#FFFFFF'\n",
    "\n",
    "sns.set(style=\"ticks\", color_codes=True)\n",
    "sns.set_context(\"notebook\")\n",
    "\n",
    "sns.set({ \"figure.figsize\": (12/1.5,8/1.5) })\n",
    "sns.set_style(\"white\", {'axes.edgecolor':'gray'})\n",
    "\n",
    "# Read in the csv of the global data into a dataframe called s\n",
    "s = pd.read_csv('survey_results_public.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 246,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a new dataframe, p_uk, containing responses from UK users who use Python\n",
    "# and are employed full time.\n",
    "p_uk = s.loc[ \n",
    "    (s['Country']=='United Kingdom') &\n",
    "    (s['LanguageWorkedWith'].str.contains('Python') &\n",
    "    (s['Employment']=='Employed full-time'))\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 247,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'1772 UK Python users employed full time (1.99% of all survey respondents) responded.'"
      ]
     },
     "execution_count": 247,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How many UK Python users (employed full time) responded to the survey?\n",
    "str(len(p_uk)) + ' UK Python users employed full time ('\\\n",
    "+  str(round(len(p_uk)/len(s)*100, 2))\\\n",
    "+ '% of all survey respondents) responded.'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top 10 Tools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 248,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Separate each 'LanguageWorkedWith' value into a list of words, \n",
    "# by splitting where there is a semi-colon\n",
    "lang_lists = p_uk['LanguageWorkedWith'].str.split(\";\")\n",
    "\n",
    "# Create an empty list called lang_col, that will be used to\n",
    "# store one language per row in the subsequent 'for' loop\n",
    "lang_col = []\n",
    "\n",
    "# loop through each row, and each element in the list in each row,\n",
    "# and add the language in each element to the lang_col list\n",
    "for row in lang_lists:\n",
    "    for element in row:\n",
    "        lang_col.append(element)\n",
    "\n",
    "# change the lang_col series into a dataframe\n",
    "lang_col_df = pd.DataFrame(lang_col)\n",
    "\n",
    "# Rename the column from '0' to 'Language'\n",
    "lang_col_df.columns=['Language']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 249,
   "metadata": {},
   "outputs": [
    {
     "data": {
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jY9y6dQvHjh3D9evXERERgdjYWCiVSmndTp06oWXLlli/fj08PT2l6cbGxkhISEBKSgrS0tIQFBSE7OxstXWJiIiochjOajg3NzdMnjwZgYGBmDRpErp164bp06djyJAhGDZsGAICAjBy5EjEx8djzpw5+OOPP/D48WNpfS8vLxQXF8PNzU2a5u/vj2bNmuGNN96An58f9PT0MG7cOCQnJ2ujRSIiohpFRzw9jkVUjVQF2cg84qXtMqgGM3OJgcLAVNtlEBFVCK+cEREREckIwxkRERGRjDCcEREREckIwxkRERGRjDCcEREREckIv61JWqNS5gCiUNtlUE2moweFvrG2qyAiqhCGMyIiIiIZ4bAmERERkYzw3ZqkNRzWJHqFcciYqMownJH2iEK+IYDoFWXmEqPtEohqLA5rEhEREckIwxkRERGRjDCcEREREckIwxkRERGRjDCcEREREckIwxkRERGRjPBRGrVEUVERIiIiEB0djb/++gsmJibo378/AgIC0KRJE2m56OhobN68Genp6TA0NET37t3xzjvvoEOHDtIyQUFBKCoqQmhoqDZaISIiqtF45ayWWL58OWJiYvD5559j7969WLFiBVJTUzF16lSUvMHrs88+w9KlS+Hj44Off/4Zq1evhqGhIXx8fHDixAktd0BERFQ78MpZLREVFYUFCxagd+/eAIBWrVohNDQUAwcORGJiIu7fv4/t27fjp59+QqdOnQAA5ubm+OKLL6Cvr485c+Zgz5490NfX12YbRERENR6vnNUi8fHxUKlU0mdzc3PExMSgU6dO2LZtG9zc3KRg9jR/f3/cvHkTR48erc5yiYiIaiWGs1piwoQJ2LJlCwYMGIC5c+ciJiYGubm5eO2111C3bl0kJibCzs7umes2bdoU7dq1Q2JiYjVXTUREVPswnNUS7777LlasWIE2bdogKioKH374Ifr06YMffvgBAJCTk4P69euXub6RkRHu3btXXeUSERHVWrznrBbx9PSEp6cncnNzERcXh61bt2LZsmVo27YtjI2NkZWVVea6eXl5zw1vREREpBm8clYLpKSkICQkRPrcqFEjeHh4YO3atbCyskJcXBxsbGyQlJT0zPXv3buHP/74A1ZWVtVVMhERUa3FcFYLqFQqbNy4EefOnVObrqOjg4YNG6Jx48bw8fHBoUOHpGUKCgrg7u6OzZs349tvv4WxsTFcXV21UT4REVGtwmHNWqBr164YMGAA/P39MWvWLHTr1g05OTnYt28fLl68iCVLlsDMzAzjxo3DjBkzMGvWLDg5OWHcuHFYtGgRVCoVlixZgnr16knbzM7OxuHDh9X206pVK7Rv37662yMiIqpRdETJE0ipRnv8+DEiIiKwa9cu3Lx5E/r6+ujevTtmzZqF1157TVouKipKekOAgYEBHBwc0KRJE/z666/4+OOPMXr0aAQFBSE6OrrUPsaNG4f58+eXuyZVQTYyj3hppD8iql5mLjFQGJhquwyiGonhjMolMTERWVlZGDx4sMa2yXBG9OpiOCOqOhzWpHKxtbXVdglERES1Ar8QQERERCQjDGdEREREMsJwRkRERCQjDGdEREREMsJva5LWqJQ5gCjUdhlEVBk6elDoG2u7CqIaieGMiIiISEY4rElEREQkI3zOGWkNhzWJahgOdRJpBMMZaY8o5BsCiGoQM5cYbZdAVCNwWJOIiIhIRhjOiIiIiGSE4YyIiIhIRhjOiIiIiGSE4YyIiIhIRl4Yzjp27Kj207NnT3zyySd48OCBRgro2LEj4uLinrvML7/8gsDAQADA3bt3MXfuXPTu3RtWVlbw8PDAd999h8LC/z2SoTzbLEtYWBjGjh0LAIiKikLfvn2fWcuNGzdKHRsbGxt4e3vjt99+q9S+Ne348eMYN24c7Ozs4ODgAF9fXxw/flya/6z+KsLV1RWRkZEAAF9fX6xYseKlayYiIqrtynXl7F//+heOHj2Kw4cPY/Xq1bhw4QKWLFlS1bVJ4uLi4OzsDACYNm0a7t27h1WrVmHPnj2YOXMmNm/ejGXLllV7LQCwdetWHD16FEePHkVMTAwcHR3x3nvvISMjo1rqKcvFixcxY8YMeHh4YMeOHdi2bRvs7OwwdepUJCUlabU2IiIiKlu5wpmRkRFMTU3RvHlz2NnZYcKECdi1a1dV1yaJj4+Hs7MzLl26hKSkJCxcuBDW1tZo3bo13N3dERAQgK1bt6K4uLjaailhYmICU1NTmJqawtzcHIGBgdDX18eBAweqvJbn+e9//wsnJyf4+vqibdu2eO211zBr1izY2tpKV7uIiIhIfip1z1njxo3VPj948ACffvopnJ2dYWVlBXd3d+zdu1eav2fPHnh6esLa2hqDBw/G9u3b1dY/e/Yshg0bBmtra7z55pu4fv26NO/q1aswMDBA8+bNoaOjAwClhiy9vLwQHR0tzX/RNtPS0jBhwgTY2Nhg0KBBWLt2LcrzitGnaylLnTpPnuurr68PALh//z7mzZuHXr16wcHBAbNmzUJOTg6Ki4vRo0cP7Nu3T1p3+PDhePvtt6XPa9euhZ+fHwAgMzMT77zzDuzs7NC/f3+EhoZCqVQCeDI8OWbMGLz//vtwdHREZGQkdHR0kJqaiuzsbLX6vvrqK7z//vtq08LDw+Hk5IRu3bphyZIlasdi69atcHNzg729PcaOHYvz58+/8DgRERFR5VU4nN29excbN27EsGHDpGmLFy9Geno61q5di507d6J79+6YN28elEol7ty5g48++giTJk3Cnj17MH36dMydOxfp6enS+tu2bcOcOXPw008/IS8vT22IMi4uDr169QIAdOjQAc7Ozpg1axaGDRuGL7/8EkePHkWdOnVgaWmpFs7K2ubjx4/x1ltvwc7ODj///DPmzp2LDRs2YNOmTS/s/elaniU/Px8rVqxAYWEh+vTpAwDw9/fHxYsXsWrVKqxfvx5//PEHZs+eDV1dXTg7O+PEiRMAnoS4tLQ0JCQkqO2vb9++EELg3XffhZGREbZv347Q0FAcPHgQX331lbRsYmIiLCwsEBkZiQEDBmD06NHIycmBq6srpk2bhnXr1iE9PR3NmzdH06ZNpfWysrKQlpaGH3/8EcHBwVi/fj0OHjwIADhw4ABWrlyJOXPmIDo6Gn379sXEiRNx69atFx4rIiIiqpxyhbMZM2bA3t4ednZ2cHZ2RnJyMnx9faX5jo6OWLBgATp37oy2bdti8uTJuH//PrKyspCVlYXCwkI0b94crVq1wqhRo7B27Vq1gDB9+nQ4OzujY8eOGD16NFJSUqR5fx9GjIiIwKxZs6BSqbBmzRpMmTIFAwYMwNGjR9VqLmubv/zyC4yMjPDhhx+ibdu26NevHwICArBhw4YXHoe/1wI8udplb28Pe3t7ODg4YMeOHVi8eDHatGmDlJQUnDx5EkuXLoWNjQ1sbGwQGhqKQ4cOIS0tDX369MHJkycBAKdPn4ajoyMeP36MK1euQKlU4vTp03BxcUF8fDxu3LiBkJAQtG/fHt26dcP8+fOxadMmFBUVqfVsaWmJpk2bon379ti+fTu8vLyQmJiIJUuWwNPTE1OmTMHdu3elderUqYOQkBBYWlrC09MTnTp1ko7VDz/8gGnTpmHgwIFo27Yt3n77bVhZWXFYlIiIqAqV692awcHBsLe3B/DkCs8vv/wCHx8fREZGol27dhgxYgT27duHyMhIXLlyBb///jsAoLi4GJ07d8bQoUMxbdo0tGnTBgMGDMDIkSNhZGQkbb9NmzbSnxs2bIiCggJp/VOnTmHhwoXSfH19fUybNg3Tpk3DzZs3cejQIaxfvx7vvvsu9u3bB1NT0+du88qVK7h8+bLUT8l+lEqlNEz4LM+qBQC+++47tGzZEjo6OjA0NFQLnVeuXEH9+vXRvn17aZqlpSWMjIyQnp4OFxcXzJ8/Hzk5OTh16hR69uwJIQTOnDmDW7duwcTEBK+99hri4+ORm5uLbt26SdsRQqCwsBA3b94EABgbG6NBgwZqtVlaWmLJkiVQqVRISkrCnj178OOPP2LevHkIDw8H8OSeuafXe/pYpaen46uvvsLKlSul+UqlEmZmZmUeJyIiIno55QpnzZo1g4WFhfTZxsYGhw8fxrZt2xAYGIjZs2fj7NmzGD58OMaOHQtTU1P4+PgAAHR0dLB8+XJMnjwZBw4cwIEDB/Djjz9i1apV0tCfQqFQ21/JPU+///47WrZsKQW52NhYZGVlSVftWrZsibFjx8Ld3R39+vXDmTNn4OHh8dxtFhUVoUePHliwYEHpg1Gn7MPx91pKtGzZUu3YPK3kvrO/U6lUKC4uhpmZGSwtLXH69GmcPHkSs2fPRmFhIc6ePYvr16/DxcVFqtnCwgKrV68uta2SoGRgYKA2fenSpdJ9fgqFAnZ2drCzs0Pr1q2xfPlyaTld3dIXT0uOlUqlQmBgoHSeShgaGj6zLyIiInp5L/UQWpVKhQcPHmDnzp1Yvnw5PvjgAwwaNAj3798H8OQ/+fT0dCxevBhdu3bFe++9h+joaHTr1g2//vrrC7d//PhxtXu8/vzzT4SHhyM/P19tufr166NOnTqlvqjwLO3atcPVq1fRqlUrWFhYwMLCAhcvXsT333//zKBSVi3lYWlpifz8fLX76y5fvowHDx6gXbt2AIA+ffpg//79uHz5MmxtbdGtWzecPXsWR48elZ5B1q5dO2RmZsLY2FiqOTs7G8uXLy/ziwxHjx595vBjw4YNYWJiUq76S/Zbsk8LCwusXbtWGoolIiIizStXOLt//z6ys7ORnZ2N69ev41//+heuXbsGDw8PGBgYoF69eoiNjcWNGzdw9OhRBAcHA3gyBNaoUSNs3boVYWFhuH79OuLj43Hp0iVYWVm9cL/Hjx9Xu8fL29sb9erVg5+fH44cOYI///wTJ0+eREBAADp06IDu3bu/cJvDhg2DUqmUvpRw7NgxBAcHl7oi9qJaysPS0hIDBgxAYGAgzp8/j/PnzyMwMBCOjo7o3LkzgCfh7JdffkHnzp1Rr149ODg44MaNG0hNTYWTk5O0jLm5OT766COkpKQgISEBc+fOha6ubqkrZiXeffddREZGYvHixbh48SKuXr2KnTt3IjQ0FG+99Va56vfz88PGjRsRHR2NjIwMfPPNN9i+fTssLS0rdByIiIio/Mo1rBkQECD92cDAAJ06dUJYWBgcHBwAAMuWLcPSpUuxefNmtG7dGjNmzEBYWBiSk5MxYsQIhIWFYfny5fj+++9hZGSEsWPHYvTo0c/dp1KpxIULF6R9AE/uq9qyZQtWrlyJTz/9FHfv3oWxsTEGDRqEJUuWqH1bsywNGjTADz/8gMWLF8Pb2xuNGjWCt7c3Zs6cWaFaymvJkiVYuHAhJk2aBIVCATc3N8yZM0ea36NHDygUCjg6OgJ4chWwU6dOMDQ0lO4FUygU+Pbbb7Fo0SK88cYbMDAwwKBBgxAUFFTmfj08PFC3bl2sWbMG27dvR0FBASwtLREQEIBRo0aVq3ZPT0/cuXMH33zzDW7dugVLS0uEh4dLwZKIiIg0T0eU5wFfRFVAVZCNzCNe2i6DiDTEzCUGCgNTbZdB9Mrji8+JiIiIZIThjIiIiEhGGM6IiIiIZIThjIiIiEhGGM6IiIiIZIThjIiIiEhG+CgN0hqVMgcQhdoug4g0RUcPCn1jbVdB9MpjOCMiIiKSEQ5rEhEREclIuV7fRFQVOKxJRBIOiRJJGM5Ie0QhX99ERACevPqJiJ7gsCYRERGRjDCcEREREckIwxkRERGRjDCcEREREckIwxkRERGRjDCcvQRXV1dERkaWmh4XF4eOHTsiLCwMHTt2LPMnLCwMJ06cQMeOHTFgwIBn7mPmzJno2LEj4uLiAABBQUH46KOPnltXVlaW2vZyc3OxdOlSuLm5wdbWFu7u7oiIiEBhofpjLDZv3oyhQ4fC2toaTk5O+PDDD3H9+nW1ZZKTkzF16lQ4OjrCzs4OY8aMwe7du8t1vIiIiOjF+CiNKjR58mS88cYbAIA///wTPj4+iIyMRIsWLQAAhoaGuHDhAgAgOzsbKSkp6NSpk7S+UqnE0aNHK7zf48ePw8nJCQCQk2JAorAAACAASURBVJMDHx8fNGnSBCEhIWjdujWSk5MREhKC1NRUhIaGAngSzFatWoXPPvsMnTp1wt27dxEeHo7x48dj165dqF+/PrKysjBhwgT4+voiKCgICoUCBw8exKxZs6Cnp4eBAwe+1PEiIiIihrMqVb9+fdSvXx8A8PDhQwBA48aNYWpqWmrZbt26Yf/+/WrhLD4+Hu3bt0dCQkKF9nv8+HH07t0bABAaGgo9PT2sW7cOBgYGAABzc3OYmJjA19cXvr6+sLW1xfbt2zFp0iQpYLVu3RorVqyAs7MzDh48CC8vL8TGxsLMzAwffPCBtK9JkyYhOTkZW7ZsYTgjIiLSAA5ryoSbmxt+++03tWn79u2rVOCJj4+Hk5MTlEolYmJiMG7cOCmYlejRowc2bNiADh06SNNOnToFpVIpfTY0NMR///tf9OvXDwCgo6ODmzdv4sqVK2rbCgwMREhISIXrJCIiotIYzmTC1dUVv//+O27dugUAEELgt99+q3A4S09PR8OGDdGsWTNkZGTg4cOHsLa2fuayTk5OqFevHgBgwoQJ+O233+Di4oKPP/4YUVFRuH37Ntq2bYsGDRoAAIYMGQJDQ0MMHToUEyZMwKpVq3DhwgU0adJEGqolIiKil8NhzZcUHByML774Qm2aSqWq8HaaN2+OLl264ODBgxgzZgzOnz8PIyMjtG3btkLbefp+s9zcXABAw4YNX7jeiBEjYGpqinXr1mHPnj34+eefoVAoMH78eAQFBUFXVxdNmjTB9u3bsXr1asTGxuLEiRNYsWIFrK2tsWLFCpibm1e4byIiIlLHcPaS/P394eHhoTYtISEBgYGBFd6Wm5sbDhw4gDFjxlR6SDMuLg6jRo0CAJiYmAAA7t+/X651e/fujd69e+PRo0c4ceIEoqOjsWHDBrRq1QoTJ04E8CREzp8/H/PmzUNKSgr279+PDRs24P3330d0dHSF6yUiIiJ1HNZ8SY0bN4aFhYXaT7NmzSq1LTc3Nxw/fhyPHj3C/v37MWjQoAqtr1KpcObMGfTo0QMA0KZNGxgbGyMpKemZywcEBGDfvn3466+/8PnnnyM/Px8AUK9ePfTv3x8rV66Eu7u79BiPiIgIHDlyBMCT+886d+4Mf39/fPnll0hOTsbdu3cr1TcRERH9D8OZjHTs2BGmpqb4z3/+g0ePHqFr164VWv/ChQto27atNIypUCjg5eWFTZs2qd3oDzz50sDu3bthYmICfX19bNu2DQcPHiy1zYYNG6Jx48YAgLNnz2LDhg3PXMbAwEC6N42IiIgqj8OaMuPq6oqwsDBpaPJZsrOzcfjwYbVprVq1QlxcnHS/WQl/f38cPHgQfn5+eO+999CyZUucOXMGS5cuxciRI+Ho6AgAGDt2LObPn4+7d+/CxcUFjx8/RlxcHHbt2oXNmzcDAKZPnw5fX1/Mnj0b48ePh4mJCS5duoSvvvoKvr6+0NfX1/DRICIiqn0YzmTGzc0NGzZseO79ZvHx8YiPj1ebNm7cOFy+fBnvvPOO2vTGjRtjy5YtCA8PR2BgIO7du4fWrVtj2rRp8PX1lZb75JNPYG5ujsjISCxfvhw6OjqwsbHBmjVr0KVLFwCAvb09Nm7ciG+//RZTp05Ffn4+WrVqhTFjxmDSpEmaOwhERES1mI4QQmi7CKqdVAXZyDzipe0yiEgGzFxioDAo/YBuotqI95wRERERyQjDGREREZGMMJwRERERyQjDGREREZGMMJwRERERyQjDGREREZGM8FEapDUqZQ4gCrVdBhHJgY4eFPrG2q6CSBYYzoiIiIhkhMOaRERERDLC1zeR1nBYk4iqHIdL6RXEcEbaIwr5+iYiqlJmLjHaLoGowjisSURERCQjDGdEREREMsJwRkRERCQjDGdEREREMsJwRkRERCQjDGdVLDIyEq6urlW+n+TkZEydOhWOjo6ws7PDmDFjsHv37kpvLygoCB999FG5ls3Pz0dUVFSl90VERET/w0dp1ABZWVmYMGECfH19ERQUBIVCgYMHD2LWrFnQ09PDwIEDK7zNTz/9tNzLrlu3DseOHcPIkSMrvB8iIiJSx3BWA8TGxsLMzAwffPCBNG3SpElITk7Gli1bKhXOGjZsWO5l+QYwIiIizeGwZjVKSEjAm2++CVtbW9jZ2WHKlCnIyspCcXExXFxcEBkZqba8p6cnNm/eDADYvn07hgwZAisrK/Ts2ROfffYZioqKAAA6Ojq4efMmrly5orZ+YGAgQkJCpM/JyckYP348bG1t4ebmhp9++gkAcOLECfTt2xfBwcFwdHREWFiY2rBmWFgY3n//fXzyySewtbWFu7s79u3bBwCIiorCN998g7Nnz6Jjx45Vc+CIiIhqEYazavLgwQNMnz4dvXr1ws6dO7FmzRrcuHED3333HXR1deHh4YG9e/dKy6empuLq1atwd3fH6dOnsWDBAsycORN79+7FggULEBUVhdjYWADAkCFDYGhoiKFDh2LChAlYtWoVLly4gCZNmqBFixYAgLt372LSpEmwtLREdHQ0Zs6cic8//xynT58G8GRo9MGDB4iOjoa3t3ep+g8cOACVSoWoqCiMHj0a77//Pi5dugRPT09MnjwZNjY2OHr0aDUcSSIiopqNw5rV5NGjR5g+fTomT54MHR0dmJubY/DgwUhISAAADB06FOPGjUNeXh4aNmyIPXv2oGfPnmjatCkyMzOxaNEiDB48GADQqlUrrFu3DpcvXwYANGnSBNu3b8fq1asRGxuLEydOYMWKFbC2tsaKFStgbm6O3bt3o379+vjss8+gUChgaWmJnJwcFBcXSzW+9dZbaNOmzTPrb9SoERYuXAh9fX20b98ehw4dwk8//YRPP/0UhoaGqFOnDkxNTav4KBIREdV8DGfVxNTUFN7e3li/fj0uXryIy5cv49KlS7CxsQEA2Nraonnz5jhw4ACGDx+OPXv2wM/PDwBgZWWFunXr4uuvv5bWu3btGpycnKTtN2/eHPPnz8e8efOQkpKC/fv3Y8OGDXj//fcRHR2Ny5cvo1OnTlAoFNI648ePB/BkWBN4EvrK0qVLF+jr60ufrayskJaWprkDRERERAA4rKlxt2/fVrv3SwgBhUKBrKwsDBs2DHFxcejatSs++eQTKXyV8PLyQmxsLNLS0pCRkSFdKTty5Ai8vb2RnZ0NFxcXfP3113BwcJDWi4iIwJEjRwA8uf+sc+fO8Pf3x5dffonk5GTcvXsXenp6L6zdwMCgzHl16qjneJVKBR0dnRcfECIiIqoQXjnTsDVr1iA1NRVr1qwBAOTl5cHExAS//vor6tevj++//15aduPGjWrfdPT09MTYsWPRoUMH9OnTB0ZGRgCePCvN29sbwcHBAICioiJkZGSge/fuAICzZ8/i5MmTcHFxUaulYcOGMDAwQIMGDWBhYYF9+/ahuLgYurpPMvmcOXNgZmamdgWuLKmpqWrrXrhwQQqIDGlERESawytnGtatWzecOnUKx44dw/nz5/Gf//wHvXr1grGxMW7duoVjx47h+vXriIiIQGxsLJRKpbRup06d0LJlS6xfvx6enp7SdGNjYyQkJCAlJQVpaWkICgpCdna2tO706dMRHx+P2bNn4/z587h+/Tr27duH+fPnw9fXF/r6+hg2bBjy8/PxxRdf4I8//sDOnTuxc+fOUoGuLH/++SeWLFmCK1euSF84+Oc//wkAMDQ0RHZ2Nq5fv67BI0lERFQ7MZxpmJubGyZPnozAwEBMmjQJ3bp1w/Tp0zFkyBAMGzYMAQEBGDlyJOLj4zFnzhz88ccfePz4sbS+l5cXiouL4ebmJk3z9/dHs2bN8MYbb8DPzw96enoYN24ckpOTAQD29vbYuHEj7t27h6lTp2LIkCFYtmwZRo0ahQ8//BDAk6toEREROH/+PIYNG4awsDB88cUXasOjz2NlZYW8vDx4e3tj165diIiIQNu2bQEAgwcPhq6uLoYOHYo7d+5o6EgSERHVTjqCTxClFwgLC0NcXBy2bNmi0e2qCrKRecRLo9skInqamUsMFAb8Jjm9WnjljIiIiEhGGM6IiIiIZITDmqQ1HNYkoqrGYU16FfHKGREREZGMMJwRERERyQjDGREREZGM8J4z0hqVMgcQhdoug4hqMh09KPSNtV0FUYUwnBERERHJCIc1iYiIiGSELz4nreGwJhERyZYWh8QZzkh7RCGfc0ZERLJk5hKjtX1zWJOIiIhIRhjOiIiIiGSE4YyIiIhIRhjOiIiIiGSE4YyIiIhIRhjOXhGurq7o2LGj9NO1a1e4ubkhIiLihevm5+cjKipKbVuRkZFVWS4RERFVEh+l8QoJCgrC0KFDAQBFRUWIj4/Hp59+imbNmmHEiBFlrrdu3TocO3YMI0eOrK5SiYiIqJJ45ewV0qBBA5iamsLU1BQtWrSAt7c3nJ2dERsb+9z1+IYuIiKiVwfD2SuuTp06KCgoQOfOnZGdnS1Nv3LlCrp06YLvv/8e33zzDc6ePYuOHTuqzR87diysra0xfPhw/P7779K8zMxMfPDBB+jRowd69uyJ4OBgFBQUAACioqIwduxYfPPNN3ByckKfPn2waNEiFBcXV1/TRERENRjD2SuqsLAQsbGxOHbsGIYPH45WrVph79690vxdu3bB2dkZvr6+mDx5MmxsbHD06FFp/rZt2zB58mT8/PPPMDY2xrx58wAASqUSEydOxMOHD/Hvf/8bK1euxOHDh7FkyRJp3aSkJKSnp2Pz5s0ICAjApk2bcOTIkeprnoiIqAZjOHuFBAcHw97eHvb29rCxsUFgYCAmTpyIYcOGwcvLC3v27JGW3b17N7y8vFC3bl0YGhqiTp06MDU1leb7+Phg0KBBaNeuHXx9fZGamgoAOHLkCDIzM7Fs2TJ06tQJTk5OmD9/PrZu3Yq8vDwAT+53Cw4ORvv27TF69Gh06tQJSUlJ1XswiIiIaih+IeAV4u/vDw8PDwCAgYEBTE1NoVAoAACvv/46IiIicOvWLeTk5CAjIwODBg0qc1tt2rSR/tywYUMUFhZCpVIhPT0dbdq0gbHx/1726uDgAJVKhatXrwIATExM0LBhQ2l+gwYNUFRUpMlWiYiIai2Gs1dI48aNYWFh8cx5r732Gjp06IBff/0Vd+7cQb9+/dQC1N+VhLqnCSFgYGBQarpKpQIA6b4yPT29Z65LREREL4/DmjWIl5cXDhw4gIMHD8LLy0uarqOjU+5ttG/fHhkZGcjJyZGmnTt3DgqFQu1qGxEREVUNhrMaZOjQoTh16hSuXbuGAQMGSNMNDQ2RnZ2N69evv3AbvXr1Qtu2bTF79mykpKTgxIkTCAkJgaenJ0xMTKqyfCIiIgLDWY3SsmVLdOnSBa6urqhbt640ffDgwdDV1cXQoUNx586d525DV1cX4eHh0NHRgY+PDwICAjBgwAAsWrSoqssnIiIiADqCNwvVKAMHDsS8efPQr18/bZfyQqqCbGQe8XrxgkRERNXMzCUGCgPTFy9YBfiFgBri0KFDOH78OIqLi9GnTx9tl0NERESVxHBWQ6xfvx6pqakIDQ195jcxiYiI6NXAcFZDrFu3TtslEBERkQbwCwFEREREMsJwRkRERCQjDGdEREREMsJHaZDWqJQ5gCjUdhlERESl6ehBoW/84uWqYtcMZ0RERETywWFNIiIiIhlhOCMiIiKSEYYzIiIiIhlhOCMiIiKSEb4hgLSiuLgYubm52i6DiIioWjVq1Ai6us+/NsZwRlqRm5uLlStXarsMIiKiavXBBx/A2Pj5j+jgozRIK3jljIiIaqPyXDljOCMiIiKSEX4hgIiIiEhGGM6IiIiIZIThjIiIiEhGGM6IiIiIZIThjIiIiEhGGM6IiIiIZIThjIiIiEhGGM6o0pRKJebNm4fu3bujd+/e+P7778tcNiUlBT4+PrC1tcXIkSNx/vx5tfm7du3CoEGDYGtri7fffht37tyR5gkhsGLFCjg7O6N79+5YunQpVCpVlfX1Iprqu6ioCCtXroSrqyscHBwwadIkpKenS/PPnj2Ljh07qv0MHz68Snsri6Z6Li4uho2NTam+Sh5IXFPP9d/7Lfn55ptvAMjrXAMV67vE6dOn0b9//1LT4+Pj8frrr8PW1ha+vr64du2a2vyNGzeib9++sLe3x5w5c/Dw4UNNtVFhmuz73//+NwYPHgx7e3v4+Pjg7Nmz0rysrKxS57tbt26abKVCNNm3u7t7qd4uXrwozZfL+dZUz66urs/83Z4zZw6AlzjXgqiSFi5cKLy8vERSUpL49ddfhb29vdi5c2ep5fLz80Xv3r3FokWLxOXLl0VISIhwcnISeXl5QgghEhMThbW1tdi+fbu4ePGiGD9+vJg8ebK0/tq1a0WfPn3EiRMnRHx8vOjTp49YvXp1tfX5d5rqOzw8XLi4uIgjR46I9PR0ERgYKPr37y/y8/OFEEJs27ZNjBw5Uty6dUv6uXv3brX2WkJTPV+9elV07NhR3LhxQ62v4uJiIUTNPddP93rr1i2xatUq0b17d/Hnn38KIeR1roUof98lUlJSRK9evYSLi4va9Js3bwo7OzsREREh0tLSREBAgPD09BQqlUoIIcTevXuFg4OD2Ldvnzh//rzw8vIS8+bNq9LenkdTfe/YsUM4ODiI3bt3i6tXr4rQ0FBhb28vMjMzhRBCHDt2TPTq1UvtfN++fbtKe3seTfVdUFAgOnfuLM6cOaPWW2FhoRBCXudbUz3fuXNHrdcdO3aIrl27iqSkJCFE5c81wxlVSn5+vrC2thbHjh2TpoWHh4s33nij1LKRkZGif//+0j/IxcXFYtCgQWLbtm1CCCE+/vhjMWvWLGn5mzdvig4dOoirV68KIYTo16+ftKwQT/7h69u3b5X09SKa7HvgwIFiy5Yt0vIFBQXCzs5OHDp0SAghxBdffCECAwOrsp1y0WTP+/btEwMGDChzXzX1XD8tMzNT2Nvbix07dkjT5HKuhahY30IIsWXLFmFnZydef/31Uv9x/etf/1Jb7+HDh8Le3l7a9ptvvim++uoraf6pU6eElZWVePDggSZbKhdN9j1x4kQRGhqqNm3w4MHixx9/FEIIsWHDBjF+/HgNd1A5muz74sWLokuXLkKpVD5zXbmcb032/LSHDx+Kfv36ifDwcGlaZc81hzWpUlJSUqBUKuHo6ChNc3R0RFJSEoqKitSWTUxMhIODg/QuMR0dHTg4OCAhIUGa3717d2n5Fi1aoFWrVkhISEBWVhb++usvtcvAjo6OyMzMxF9//VWVLT6TJvsODg7GwIEDpeV1dXUhhIBSqQQAXL58Ge3atavqll5Ikz2np6eX2VNNPtdPCw8Px2uvvYZhw4ZJ0+RyroGK9Q0AcXFx+PLLLzFp0qRS8/7+u12vXj107doVCQkJUKlUSEpKUptvZ2cHlUqlNgxWXTTZd0BAAMaMGVNqekFBAYCae77T09PRunVr6OnplZonp/OtyZ6f9u9//xs6OjqYMmWKNK2y55rhjColOzsbRkZGMDAwkKY1bdoUhYWFuHv3bqllmzVrpjatSZMmyMrKAgDcunWrzPnZ2dkAoDa/adOmAIDMzEzNNVROmuzb2dlZ6gUAIiMjUVRUBFtbWwBP/qFLSkrC0KFD0b9/f8yfPx95eXlV1VqZNNnz5cuXkZ+fj3HjxqFPnz6YOnUqrly5Iq0L1MxzXeLWrVuIiorCu+++Cx0dHWm6XM41ULG+AeDrr7/GoEGDytxWWcclNzcXBQUFavPr1KkDY2Nj2Z9v4Pl929nZwdzcXPp8+PBhXL16VQom6enp+PPPPzFy5Ei4uLhg5syZpf6uVBdN9n358mUoFAq89dZb6N27N8aPH4/ExEQAkNX51mTPJZRKJdauXYupU6eqbbey55rhjCrl0aNH0NfXV5tW8rnkys+Lli1Z7vHjx2XOf/z4sdq2n7ef6qDJvp925swZLF26FNOmTYOpqSny8/Px119/obi4GEuWLEFISAjOnj2LWbNmabijF9Nkz+np6bh//z78/f3x7bffwsDAABMmTEBeXl6tONc//fQTzM3N0bdvX2manM41ULG+K7utsn63n55f3TTZ99P++OMPBAYGYsSIEejatSuAJ78HDx8+xNy5c7FixQpkZWVh6tSpz7xqU9U02Xd6ejpyc3Px5ptvIiIiAu3bt8fEiRNx48YNWZ3vqjjXu3fvBgB4e3urTa/sua5TqSqo1jMwMCj1l7jkc7169cq1bN26dV84/+lfmJJL5WXtpzposu8SJ06cwNtvv40BAwbA398fAFC/fn2cOnUK9evXh0KhAAAsWbIEo0aNws2bN9GyZUuN9vU8muz5xx9/hEqlgqGhIQBg+fLl6NevH/bv3w9LS0tp+Zp6rnfv3o0RI0aoXTWT07kGKtZ3ZbdlbGwsXV0oz3GrDprsu0RqaiomT54MS0tLBAcHS9P3798PPT096d+3sLAw9OnTBwkJCWrDftVBk30vX74cBQUFaNCgAQDg888/x9mzZ7Fjxw68+eabatt+el/Vfb6r4lzv3r0b7u7updav7LnmlTOqlObNmyM3N1ftL3h2djb09fVhZGRUatmSIasSt2/fhqmpqTT/9u3bz5zfvHlz6fPT+wEgrV+dNNk3ABw6dAhTp05Fv379sGzZMumeJQBo1KiR9J81ALRv3x4Aqn34Q5M9GxgYSMGs5HPr1q2RlZVV4891ZmYmUlNTnzk8IpdzDVSs7/Jsq6zjUhLQnj7fRUVFyMnJKTUUWh002TcAJCUlwdfXF+3atUNERITaUFf9+vXVrtw0adIExsbGr/z51tPTk4IZ8OTeS0tLS9y6dUtW51vT51qpVCI+Pv6Zv9uVPdcMZ1QpnTt3hp6entoNz2fOnEHXrl1Rp476BVlbW1skJCRACAHgybOsEhISYGdnJ80/c+aMtPxff/2Fmzdvws7ODs2bN0fLli3V5p85cwbNmjVDixYtqrLFZ9Jk34mJiXjvvffg4eGB0NBQtfXPnz8Pe3t7tV/g5ORkKBQKWFhYVGWLpWiq56KiIri4uCAmJkZaPj8/H9euXYOlpWWNPtcAcO7cOTRt2lS6QlhCTucaqFjfL2Jra6v2fK9Hjx4hOTkZdnZ20NXVhbW1tdr5PnfuHBQKBTp37vzyjVSQJvu+fv063nrrLXTp0gURERGoX7++NO/27dtwdHTEuXPnpGmZmZm4d+9eqb8b1UGTfY8ePRoRERHS5+LiYly6dAmWlpayOt+a7BkALl26hIKCArUvGAAvea4r/P1Oov83b948MWTIEJGYmCj27dsnHBwcRExMjBDiyXOdHj16JIQQIi8vTzg5OYkFCxaItLQ0sWjRIuHs7Cw9A+rs2bOia9euYuvWrSIlJUX4+vqKt956S9rP6tWrRe/evUVcXJw4ceKEcHFxEREREdXf8P/TRN/FxcXC09NTeHt7i8zMTLVn4Dx69EgUFBQId3d3MWXKFJGamipOnjwpPDw8xNy5c1/ZnoUQIigoSLi5uYmTJ0+KS5cuiRkzZoghQ4ZIz0Gqiee6xNdffy0mTJhQah9yO9dClL/vp23fvr3UYwauX78urK2txbfffivS0tLEzJkzhZeXl/TIkZ07dwo7Ozuxd+9ecf78eTF06FDx2WefVXl/ZdFU31OmTBH9+/cXGRkZar/bJY+M8PX1FSNHjhQXLlwQ58+fFz4+PsLPz6/qGyyDpvoOCwsTPXr0EAcPHhTp6eli3rx5wsnJSeTm5goh5HW+NdVzyXQ3N7dn7qey55rhjCrt4cOHYvbs2cLOzk707t1brFmzRprXoUMHsX37dulzYmKiGDFihLCyshKjRo2SHtBXIioqSvTv31/Y2dmJd955R9y5c0eaV1RUJBYvXiy6desmevToIZYsWSL9464Nmuj70qVLokOHDs/8KXk2VkZGhpg+fbpwdHQUPXr0EAsXLhQFBQXV2+z/09S5zs/PF8HBwaJ3797C1tZWzJgxQ3oQqxA181yXmD9/vnjvvfeeuR85nWshKtZ3ibL+4zp48KBwd3cXNjY2wtfXV1y7dk1t/urVq4Wzs7NwdHQUQUFBz/xPsbpoou+8vLwyf7dLnvF1584dMWvWLNGjRw/h4OAgPv74Y5GTk1P1DZZBU+e7qKhIrFy5UvTr109YW1uL8ePHi5SUFLVl5HK+Nfl3fPXq1WLkyJHP3E9lz7WOEP9/HZ6IiIiItI73nBERERHJCMMZERERkYwwnBERERHJCMMZERERkYwwnBERERHJCMMZERERkYwwnBERERHJCMMZERERkYwwnBERERHJCMMZERERkYwwnBERERHJCMMZERERkYwwnBFRrXb48GGMHDka//ynD+Li4tTmzZ//Gc6dS3zu+uvWrYe///vPnDd69Bjs3r2nzOVUKhU+/XQuRowYiWvXMkqtn5BwDv37u6r9eHh4wt//ffz+++/l6i8t7TLOnz+vtr2iIlW51n1ZPj5jsXNnTKnpp0+fQf/+rtVSA9GrqI62CyAi0pbi4mKEhn6F997zhxDFWLLkS/z3v9HQ0dFBWtplPHiQDzs72yrb//LlX+HcuUT8619fwcKiTZnLRUZuha6uAgDw8GE+1q5dh6CgT7Bly2Y0aNDgufuYN28+xo8fBxsbG43WTkRVh1fOiKjWysnJQW5uLvr374f+/fsjNzcXOTk5AID16zdg0qQJVbbv1asjcODAb1i6dDH+8Y9/PHdZE5PGaNLkyY+5uTn8/f2Rl5eHhIRzL9yPEEJTJRNRNeGVMyKqtYyMjPB/7dx7UNVlGsDx7+EAHo4XZr0kwwFtAE+iaM2GVKCWB5blJC2pwbiOq5CTKRiKxnpLVuQqlzatDNE6NtaOgjutC2RTW8g1pM0LV0vNOOCdkZHbiMPh7B9Hj4tgbbituD2ffzjz/n7v+z7zY+bMc573/b0qlYpvrA2VfwAAB/hJREFUvz2F2dyDSqVixIgRfPPNt3R1Xf/Zqk05ObkcOPBXUlKS8PLy+sn9lUpLFc3e3o7MzD9z+fIltm5NtV7fuTObhoYGOjo6uXTpEhkZmVRX1xAU9FsACgry2bv3Q9rb25k5cwZr1qxhyBB7AMrLv8RgMNDQYMTJyYkXXwznmWeeAWDlyhgef/zXVFfXUFVVhbOzMy+//BJPPvnkPT2Pw4eLMBj2cP78eR566CEWLlyAXq8HoL29nTfffIvS0jLs7e3x8/MlMnI5arWaY8eOk5SUzPTpfnz22T944YV5zJ79LBkZr1NTU4NSqcTPz5fo6GjUaod7ilGI/yWpnAkhfrGUSiVLl75EdPRKVq1aTVRUJEqlEoNhD4sXL/5Z5vz00095550s5s2bi7e390/u39raSlZWFo6OjkyaNJmAAB1ff32UtrY26z1FRUX4++tISIhnzJgxREYu55VXoqzXCwuLSEtLJTExgeLiEgoKLPvCjh49SlzcnwgMDOTdd3fx3HOzSUhIor6+3tr3ww//gk43i+zsLMaNcyU9PROTaeB72FpaWkhMTCI0dB57977PwoULSE/PtO7BS0tL59q1a2zf/gapqSk0NjaSmrrV2r+5uZnOzk6ys7MICgpi27bt2Noq2bnzHTIy0qmtreODDz4YcHxC3A9SORNC/KLNnTvnZkVJgVrtQH19PSZTN56enqSlZfDVV1/drL68go3Nvf2eNRqNpKdnMmWKF/n5BcybN5cxY8b8aL/g4OcAyxJlV1cXGo2GuLhNDB8+jKlTpzJy5EhKS0vR6/WcPHmSq1db8PX1xcHBARsbG9Rqda+9aatWRfPwww/j5gbe3o9z5swZAD766G/MmDGd0NAXAHB1daWu7iT79u0nPn4zAE884YNeHwTAokV/YMmSl2hubmbs2LEDeibNzc10d3czevRonJyc0Ov1jB07lpEjf8W5c+coKSnl4MGPGDFiBADr169j/vwFXL582TrG/Pnz0Wg0AFy8eBE3NzecnJyws7MjISEehUIxoNiEuF8kORNC/OKp1WrrZ4PhfcLDwykqOsz333/P3r3vExOzmsOHi9DpZvXpa2tri9nc0++4ZrMZW9vbX7Otra3ExKwkMDCQiIglZGa+Tmpqyo/Gl52dhY2NEhsbBUOHDsXR0dF6TaFQoNPNorCwCL1ezxdfFOLr+xQODndfxnN2drZ+Hjp0GDdu3ACgocFIcPDsXvd6eU0mLy+/375q9VAAuru7+53H8mz67nkzm3usS7MeHh4EBPizbt0GnJ2d8fV9iqCgIIYPH051dQ1ms5mwsPl9xmhsbLImy05OTtb2iIgI4uO3UFZWjre3N08/PYNZs/r+34QYzCQ5E0KIm24dTzF58iQ+//xzHn10KiqViscee4y6urp+k7Nhw4bR0dHZp91sNtPe3t6rYuXp6UlISAgAa9bEEBu7lkOHPrFWou7G2VmDra3yrtf9/f05cCCStrY2ioqKiY5e8YPj3Xrz83aslr/29vZ97u3pMdHTczv5/Pdk887+d7I8m44+7W1tt5+LQqHgtdc2EhYWSllZOeXl5Rw8+HeSkxMxmUyoVCp2797VZ4xRo0Zy8uQ3feKePt2P3Nz9lJaWcuRIJampaVRW/pP169f2H6QQg5DsORNCiJvee28P4eGWvWYKhcJa9TGZTHd969Hd3Y2mpiauXbvWq/306TN0dXXh4eFubbtVLQKYNm0agYG/4a233ubKlSv3FPeECR5oNBr278+ho6MDHx8f67WfsqQ3fvy4XvvLAGpr63B1dR1QXO7ubv2ex1ZbW8uECR6ApVr39ts70Gq1RESEs2tXNlOmTKGkpJRx41y5fv06PT0mXFw0uLhYli537NhBZ2ffhBhg9+53uXLlCsHBwSQkbCE29lUKCwsHFL8Q94skZ0IIAVRVVWFnZ8ukSZ4APPKIloqKCs6ePUtlZaW1/U5eXl64u7sTF7eZmpoaLly4QEVFBUlJyQQEBPzgnrKoqEjs7OzIyMi85/j9/XXk5OQyc+ZM7OzsrO0ODg4YjUZaW1t/dIzQ0FCKi0vIzT1AU1MTubkHKC4uYc6ckAHF9PzzIXz5ZQUGwx4aGxs5e/YsOTm5FBR8TFhYGGCpruXl5WMw7OHChQscO3aM7777Dq1Wy/jx4/Hx8SE5OYW6unpOnz5DSkoKLS0tjBo1qt85jUYj27Zt59SpUxiNRoqLi9FqtQOKX4j7RZIzIYTAcoL/raoZgE6nw83NjRUropk4caL1OIk72djYkJaWikajYfPmeBYtCueNN7bj5+fL2rWxPzino6MjK1ZEceRIJR9/fOie4tfpZnHjxg38/XufvD9nzvPk5eX/RwngxImPsGnTRvLy8omIWMKhQ5+weXPcgN4qBdBqtaSnb+X48RMsWxbJ8uVRFBYeJi5uEz4+0wDL8uSWLfGUlZWzeHEESUnJhIT8jtmznwVgw4b1uLi4EBv7R1auXMXo0aNJTEy865wxMZZ7Vq9+laVLl2Eymdi0aeOA4hfiflGY5YRCIYR44J04cYItWxLJydnXa/lUCPHgkRcChBDiAXb16lWqqqrZt28fen2QJGZC/B+QZU0hhHiAdXZ2snVrGkOGqFiw4Pf3OxwhxH+BLGsKIYQQQgwiUjkTQgghhBhEJDkTQgghhBhEJDkTQgghhBhEJDkTQgghhBhEJDkTQgghhBhEJDkTQgghhBhE/gX8I29AH84QtwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display a horizontal bar chart of the top 10 tools and their percentage\n",
    "lang_col_df['Language'].value_counts(normalize=True).head(10)\\\n",
    ".plot.barh(color='#deaa02', alpha=0.8, width=0.9);\n",
    "\n",
    "# adjust the style elements of the plot\n",
    "plt.ylabel(None);\n",
    "plt.xlabel('% UK Python Users', fontsize=14, color='#3F3F41');\n",
    "plt.tick_params(labelsize=14, color='#3F3F41');\n",
    "plt.legend().set_visible(False);\n",
    "sns.despine(left=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top 10 Roles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 250,
   "metadata": {},
   "outputs": [],
   "source": [
    "# How are UK Python users using code? Are they professional \n",
    "# developers / use code as part of their work or something else?\n",
    "\n",
    "# Create new dataframe of UK python users (who are employed full time) roles (DevTypes)\n",
    "# where there is no missing value\n",
    "devtypes_notmissing = pd.DataFrame(p_uk.loc[p_uk['DevType'].notnull(), 'DevType'])\n",
    "\n",
    "# Separate each 'DevType' value into a list of words, \n",
    "# by splitting where there is a semi-colon\n",
    "devtype_lists = devtypes_notmissing['DevType'].str.split(\";\")\n",
    "\n",
    "\n",
    "# Create an empty list called devtype_col, that will be used to\n",
    "# store one role per row in the subsequent 'for' loop\n",
    "devtype_col = []\n",
    "\n",
    "# loop through each row, and each element in the list in each row,\n",
    "# and add the role in each element to the devtype_col list\n",
    "for row in devtype_lists:\n",
    "    for element in row:\n",
    "        devtype_col.append(element)\n",
    "\n",
    "# change the devtype_col series into a dataframe\n",
    "devtype_col_df = pd.DataFrame(devtype_col)\n",
    "\n",
    "# Rename the column from '0' to 'Role'\n",
    "devtype_col_df.columns=['Role']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display a horizontal bar chart of the top 10 roles and their percentage\n",
    "devtype_col_df['Role'].value_counts(normalize=True).head(10)\\\n",
    ".plot.barh(color='#de7b02', alpha=0.8, width=0.9);\n",
    "\n",
    "# adjust the style elements of the plot\n",
    "plt.ylabel(None);\n",
    "plt.xlabel('% UK Python Users', fontsize=14, color='#3F3F41');\n",
    "plt.tick_params(labelsize=14, color='#3F3F41');\n",
    "plt.legend().set_visible(False);\n",
    "sns.despine(left=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# edit the gender values to shorter descriptions to make the plot more readable\n",
    "p_uk.loc[p_uk.Gender ==\\\n",
    "         'Woman;Man', 'Gender'] = 'Non-binary'\n",
    "p_uk.loc[p_uk.Gender ==\\\n",
    "         'Non-binary, genderqueer, or gender non-conforming', 'Gender'] = 'Non-binary'\n",
    "p_uk.loc[p_uk.Gender ==\\\n",
    "         'Woman;Non-binary, genderqueer, or gender non-conforming', 'Gender'] = 'Non-binary'\n",
    "p_uk.loc[p_uk.Gender ==\\\n",
    "         'Man;Non-binary, genderqueer, or gender non-conforming', 'Gender'] = 'Non-binary'\n",
    "\n",
    "# display a horizontal bar chart of each gender and its percentage\n",
    "p_uk['Gender'].value_counts(normalize=True).plot.barh(color='#de4b02', alpha=0.8, width=0.9);\n",
    "\n",
    "# adjust the style elements of the plot\n",
    "plt.ylabel(None);\n",
    "plt.xlabel('% UK Python Users', fontsize=14, color='#3F3F41');\n",
    "plt.tick_params(labelsize=14, color='#3F3F41');\n",
    "plt.legend().set_visible(False);\n",
    "sns.despine(left=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display a density plot of the frequency of each age\n",
    "p_uk['Age'].plot.kde(color='#de2702', alpha=0.8);\n",
    "\n",
    "# adjust the style elements of the plot\n",
    "plt.ylabel('Density', fontsize=14, color='#3F3F41');\n",
    "plt.xlabel('Age', fontsize=14, color='#3F3F41');\n",
    "plt.tick_params(labelsize=14, color='#3F3F41');\n",
    "sns.despine();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Education"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# disable the warning for the use of the chains below\n",
    "pd.options.mode.chained_assignment = None  # default='warn'\n",
    "\n",
    "# edit the education level values to shorter descriptions to make the plot more readable\n",
    "p_uk.loc[\n",
    "    p_uk.EdLevel ==\\\n",
    "    'Secondary school (e.g. American high school, German Realschule or Gymnasium, etc.)',\\\n",
    "    'EdLevel'] = 'Secondary/High School'\n",
    "\n",
    "p_uk.loc[\n",
    "    p_uk.EdLevel ==\\\n",
    "    'Some college/university study without earning a degree',\\\n",
    "    'EdLevel'] = 'Some college/uni'\n",
    "    \n",
    "p_uk.loc[\n",
    "    p_uk.EdLevel ==\\\n",
    "    'Master’s degree (MA, MS, M.Eng., MBA, etc.)',\\\n",
    "    'EdLevel'] = 'Masters'\n",
    "    \n",
    "p_uk.loc[p_uk.EdLevel == \\\n",
    "         'Other doctoral degree (Ph.D, Ed.D., etc.)',\\\n",
    "         'EdLevel'] = 'Ph.D & other doctoral'\n",
    "    \n",
    "p_uk.loc[p_uk.EdLevel == \\\n",
    "         'I never completed any formal education',\\\n",
    "         'EdLevel'] = 'No formal education completed'\n",
    "    \n",
    "p_uk.loc[p_uk.EdLevel ==\\\n",
    "         \"Bachelor’s degree (BA, BS, B.Eng., etc.)\",\\\n",
    "         'EdLevel'] = 'Bachelors'\n",
    "    \n",
    "\n",
    "p_uk['EdLevel'].value_counts(normalize=True)\\\n",
    ".plot.barh(color='#de0209', alpha=0.8, width=0.9);\n",
    "\n",
    "# adjust the style elements of the plot\n",
    "plt.ylabel(None);\n",
    "plt.xlabel('% UK Python Users', fontsize=14, color='#3F3F41');\n",
    "plt.tick_params(labelsize=14, color='#3F3F41');\n",
    "plt.legend().set_visible(False);\n",
    "sns.despine(left=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Salary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The median salary paid in GBP for UK Python users employed full time is 45000'"
      ]
     },
     "execution_count": 255,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a data frame of responses where the salary has been provided and\n",
    "# the salary currency is GBP\n",
    "p_uk_GBP_salaries = p_uk.loc[\n",
    "    (p_uk['CompTotal'].notnull()) & \n",
    "    (p_uk['CurrencySymbol']=='GBP') \n",
    "]\n",
    "\n",
    "# Display the median salary for those responses\n",
    "'The median salary paid in GBP for UK Python users employed full time is '\\\n",
    "+ str(round(p_uk_GBP_salaries['CompTotal'].median()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display a boxplot of the non-null GBP salaries\n",
    "sns.boxplot(p_uk_GBP_salaries['CompTotal'], color='#b80208');\n",
    "\n",
    "# adjust the style elements of the plot\n",
    "plt.xlabel('UK Python User Salary \\n(Only those paid in GBP)',\\\n",
    "           fontsize=14, color='#3F3F41');\n",
    "plt.tick_params(labelsize=14, color='#3F3F41');\n",
    "sns.despine(left=True);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Breaking that down by gender..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display a box plot of non-null GBP salaries per gender\n",
    "with sns.color_palette(['#de0209', '#de4b02', '#deaa02']):\n",
    "    sns.boxplot(x='Gender', y='CompTotal', data=p_uk_GBP_salaries);\n",
    "    \n",
    "# adjust the style elements of the plot\n",
    "plt.xlabel('Gender', fontsize=14, color='#3F3F41');\n",
    "plt.ylabel('Salary', fontsize=14, color='#3F3F41');\n",
    "plt.tick_params(labelsize=14, color='#3F3F41');\n",
    "sns.despine();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Removing the outliers by only looking at salaries below £125k..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 258,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display a box plot of non-null GBP salaries per gender\n",
    "# where the salary is under £125k, so that the distributions can\n",
    "# be compared without the biggest outliers\n",
    "with sns.color_palette(['#de0209', '#de4b02', '#deaa02']):\n",
    "    sns.boxplot(x='Gender', \n",
    "                y='CompTotal', \n",
    "                data=p_uk_GBP_salaries.loc[p_uk_GBP_salaries['CompTotal']<125000]\n",
    "               );\n",
    "\n",
    "# adjust the style elements of the plot    \n",
    "plt.title('GBP Salary (<£125k) By Gender', fontsize=18, color='#3F3F41');\n",
    "plt.xlabel('Gender', fontsize=14, color='#3F3F41');\n",
    "plt.ylabel('Salary', fontsize=14, color='#3F3F41');\n",
    "plt.tick_params(labelsize=14, color='#3F3F41');\n",
    "sns.despine();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Median salary per gender:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 259,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Median Salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Man</td>\n",
       "      <td>47000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Non-binary</td>\n",
       "      <td>45000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Woman</td>\n",
       "      <td>37000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Gender  Median Salary\n",
       "0         Man        47000.0\n",
       "1  Non-binary        45000.0\n",
       "2       Woman        37000.0"
      ]
     },
     "execution_count": 259,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a data frame of the median non-null GBP salary per gender\n",
    "meds = pd.DataFrame(\n",
    "    p_uk_GBP_salaries.groupby(by='Gender')['CompTotal']\\\n",
    "    .median()\n",
    ")\n",
    "\n",
    "# make the index (gender) a column\n",
    "meds.reset_index(inplace=True)\n",
    "\n",
    "# rename the column headings\n",
    "meds.columns = ['Gender', 'Median Salary']\n",
    "\n",
    "# display the data frame of median salaries per gender\n",
    "meds"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing the salary distributions of women by their education level..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 260,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x384 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a dataframe containing only the non-null GBP salaries \n",
    "# of UK python users who identify as a woman, and only\n",
    "# keep the columns containing salary and education level\n",
    "uk_python_women = p_uk_GBP_salaries.loc[\n",
    "    p_uk_GBP_salaries.Gender=='Woman',\n",
    "    ['Gender', 'EdLevel', 'CompTotal']\n",
    "]\n",
    "\n",
    "# display a box plot of salary per education level\n",
    "with sns.color_palette(['#deaa02', '#de7b02', '#de4b02', '#de0209', '#b80208']):\n",
    "    sns.boxplot(y='EdLevel', \n",
    "            x='CompTotal', \n",
    "            data=uk_python_women,\n",
    "            order=['Secondary/High School', \n",
    "                   'Some college/uni', \n",
    "                   'Bachelors', \n",
    "                   'Ph.D & other doctoral', \n",
    "                   'Masters']\n",
    "           );\n",
    "\n",
    "# adjust the style elements of the plot    \n",
    "plt.title(\"UK Women Python Users \\nGBP Salary By Education Level\", \n",
    "          fontsize=18, \n",
    "          color='#3F3F41');\n",
    "plt.ylabel('Education Level', \n",
    "           fontsize=14, \n",
    "           color='#3F3F41');\n",
    "plt.xlabel('Salary (GBP)', \n",
    "           fontsize=14, \n",
    "           color='#3F3F41');\n",
    "plt.tick_params(labelsize=14, \n",
    "                color='#3F3F41');\n",
    "sns.despine();"
   ]
  },
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    "<footer id=\"attribution\" style=\"float:right; color:#999; background:#fff;\">\n",
    "Attribution: Created with Jupyter. Code toggle possible thanks to github.com/csaid.\n",
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