Freesound 2017 Survey results analysis

freesound_survey_2017.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Freesound 2017 Survey - Analysis of responses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.6/site-packages/IPython/html.py:14: ShimWarning: The `IPython.html` package has been deprecated since IPython 4.0. You should import from `notebook` instead. `IPython.html.widgets` has moved to `ipywidgets`.\n",
      "  \"`IPython.html.widgets` has moved to `ipywidgets`.\", ShimWarning)\n"
     ]
    }
   ],
   "source": [
    "import datetime\n",
    "import csv\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from collections import Counter\n",
    "from IPython.display import display, Markdown\n",
    "import seaborn as sns\n",
    "from collections import Counter\n",
    "sns.set_palette(sns.color_palette(\"Set1\", n_colors=8, desat=.5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of responses: 1349\n",
      "Available fields:\n"
     ]
    }
   ],
   "source": [
    "# Load data\n",
    "header = None\n",
    "data = list()\n",
    "with open('answers_1349_18_4_2017_15_30.csv', 'r') as csvfile:\n",
    "    reader = csv.reader(csvfile, delimiter=',')\n",
    "    for count, row in enumerate(reader):\n",
    "        if count == 0:\n",
    "            header = row\n",
    "        else:\n",
    "            data.append(row)\n",
    "            \n",
    "print('Total number of responses: {0}'.format(len(data)))\n",
    "print('Available fields:')\n",
    "#for count, field in enumerate(header):\n",
    "#    if field:\n",
    "#        print('\\t{0} - {1}'.format(count + 1, field))\n",
    "            \n",
    "# Util functions\n",
    "def data_for_field(field):        \n",
    "    def number_or_same(item):\n",
    "        try:\n",
    "            return float(item)\n",
    "        except ValueError:\n",
    "            return item\n",
    "    if type(field) == int:\n",
    "        index = field - 1\n",
    "    else:\n",
    "        if field not in header:\n",
    "            raise Exception('Invalid field {0}'.format(field))\n",
    "        index = header.index(field)\n",
    "    return [number_or_same(row[index]) if row[index] else None for row in data]\n",
    "\n",
    "def remove_none(serie):\n",
    "    return [e for e in serie if e]\n",
    "\n",
    "def md(text, br=True):\n",
    "    display(Markdown(text + ('<br><br>' if br else '')))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## Number of collected responses per day"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3kAAAEuCAYAAAAz5NuzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAJCIkgcAAJCIkgcAAJDIC13khFiU67biAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10793bdd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**NOTE**: on 6th of April is when we removed the after-download modal and relaxed footer banner's showing frequency<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Timestamps (number of responses per day)\n",
    "timestamps = data_for_field('Timestamp')\n",
    "timestamps = [datetime.datetime.strptime(item[0:item.rfind(':')], '%Y/%m/%d %H:%M') for item in timestamps]  # Transofrm to datetime objects\n",
    "serie = []\n",
    "for i in range(0, (max(timestamps) - min(timestamps)).days):\n",
    "    date0 = min(timestamps) + datetime.timedelta(days=i)\n",
    "    date1 = min(timestamps) + datetime.timedelta(days=i + 1)\n",
    "    serie.append((\n",
    "        date0,\n",
    "        len([item for item in timestamps if item >= date0 and item < date1]),\n",
    "    ))\n",
    "   \n",
    "plt.figure(figsize=(15,5))\n",
    "plt.plot_date([x for x, _ in serie], [y for _, y in serie], linestyle='-')\n",
    "plt.ylabel('n responses')\n",
    "\n",
    "md('## Number of collected responses per day', br=False)\n",
    "plt.show()\n",
    "md(\"**NOTE**: on 6th of April is when we removed the after-download modal and relaxed footer banner's showing frequency\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## User profiling"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Age histogram"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3kAAAEuCAYAAAAz5NuzAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\neQAAAAWi5AEAABTI/wWPaqA3GEJJqwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x103d32780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Average age is 31.62 years old, with standard deviation 13.59 years<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Profiles"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEjCAYAAACYWFikAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkDcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107f66b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Number of years working with audio"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEkCAYAAACFXWgcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAxEmAMAAAAAAxHmAAAAAMBA/wv+72Q6hN5KfAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107e089e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "The spectrum seems to be unexpectedly polariezed, like lots of expert and novice audio users.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Number of years being a Freesound user"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEjCAYAAACYWFikAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107be7588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Professional vs non-professional usage"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEjCAYAAACYWFikAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XlcVPX+x/H3wAAGAhqOWiGLiuVSenPJyiVTsbpdrVTU\nzBa5YqgJNxERWcSdtMwwc7maJGZaaKFpi2Z51astrlm55r6AiIpILAO/P7zNLxJwHfLo6/mXcs73\n+/2cc74zD958z8wxFRcXFwsAAAAAYCgOf3UBAAAAAIArR5gDAAAAAAMizAEAAACAARHmAAAAAMCA\nCHMAAAAAYECEOQAAAAAwIPNfXUB5MjKyL3vfqlVdlZV13o7VwMiYHygP8wPlYX6gPMwPlIf5gbJc\nydywWNzL3HbTrMyZzY5/dQm4gTE/UB7mB8rD/EB5mB8oD/MDZblec+OmCXMAAAAAcCshzAEAAACA\nARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADOiGfmg4AADArWhD8HPXtb+W\ns1PKH2/Dep04cVxdujxzVf3PmzdXTZs2U4MGjWw/y8vLU+/e3fTRR0uvqs/LFR09VOPGTbyiNqmp\nC9W1aw87VXSxTz5ZrL//vbO2bduiTz5JVULC+Aob254KCwv1r38NVEFBgV577U15eHhcdV9Tpryu\nHj16q2bNmtdc19ixI9W+faBatnzoqtp/881qNWzYSCaTSe+++29FRESVul98/HDFxIxSZmam9uzZ\npVat2lzX47gcrMwBAADc4lq2fOiqg5wk9enzYokgV5GuNMhJUnLyHDtUUrZ5896V1Wqt0DErwsmT\nJ5WTk6Pp0+dcU5CTpLCwIRUWgC7lww8XKCcnR15e1coMcpKUkDBeTk5O2rTpO23fvlVSxR8HK3MA\nAAC3uOXLl+rAgf166qmuGjlyhKpXr6EjRw6rQYOGiogYXmLfxYs/1IoVy+Tg4KD69RsoPHyobSXk\nvvuaaNSoGGVnZ+uuu7xtbfbu3aM335yo4uJieXp6avjweFWuXNm2ffbsGTp4cL+ysrKUnX1W4eGR\naty4ibp2fVK+vn7y8/NX9+69NH78KFmtVplMJoWFRSggoJ46d+6ktLTPSx3Dzc1Nkye/pp9/3qGC\ngkIFB4do3769Onv2jCZNmqCgoF4aPz5Bjo5mFRUVKT5+jGrU+P9fxLOzszV6dKxycnJktVrVr1+o\nmjZtrj59glSrlq+cnMwlVtl27fpFkydPlKOjo5ydnZWYOF6ff75Kp05lauTIaHXv3kuHDh3SkCGD\nlZV1Sg8/3FrBwf1LrX3Xrl/0zjtJcnJyUufOT+uxx/4uSTp27Gip16isWl94oaeaNLlfe/fukSRN\nmPBGiXMvSc8911333ddEv/66Tx4eHho5cpxWr16pTz9NU1FRkYKD++vUqUwtWrRATk5OqlXLR5GR\nIzRp0jgdPnxIr702VgMGhGnChFE6c+aMJCk8fKjq1KmrceMSdPjwIeXl5al795567LG/a8aMt7V5\n8w+yWgvVtu2jeu65FzVoUIiGDo3W7bd7XfZx3HbbbZo4cZzS008oM/OkHn64jUJCBpQ6x/ft26Ok\npMkqKirS6dOnFRERpXvvbaxlyz7WkiWpKiqyqlWrtqpfv6H27NmlMWPiFBs7WmPGxCsycoSmTJmk\npKQZkqTIyHD9858vKzp6qObNW6SUlLn67bffdO+99+mDD+Zr6NBoeXlVK/d8WK0FevrpINt1vVqE\nuatwvW99AHCxS90SBACwj0OHDmry5KlycamkoKAuysw8KS+varbty5cv1ZAhw1S/fkMtWfKRCgsL\nbds+/jhV/v511L//QO3Y8aM2bfpekpSYOEbDh8fJ37+2li37WPPnJ6t//4ElxnVxqaS33pquffv2\nKiEhRsnJC5SefkJz5qTI07OKYmIi1b17T7Vu/Yh2796pCRNGa/bsebb2pY1xzz0NdObMac2a9Z7O\nnj2rhQvnq1+/UKWmLlJERJRSUxepfv2GGjAgTFu3blZOzrkSNSUnz1azZg8oKKiXMjLSNWDAP7Vo\n0SfKzc3Viy8Gq169e0rsn5g4VlFRMQoIuFv/+c/XmjBhgmJjx2ru3NkaOXKcduzYrvz8fI0fP0lF\nRUXq2vXvCg7uX2rtzZs/oPz8fM2alXxZ12jBgpRSa83JyVGHDp30r39FKiEhRhs2rFOHDp1K9Pfb\nb78pMPBxNWlyv6ZNm6JPPkmVh4en3N3dNWHCGzpz5rRCQl7Uu+/Ol6urm95663V98kmqhgyJUnx8\ntCIjR2jatLfUtGkLPf10Nx06dFDjxiXo9dff0pYtmzRjxlyZTCZ9++0GSdKXX36mpKQZ8vKqpuXL\nS96GW9Y5L+04Gja8Vw0b3quoqFjl5eXpmWeeKDPM/frrPg0a9C/VqVNXX3zxmZYvXypv71pKSUlW\ncvICOTu7aPr0qWrS5H7VrVtPQ4dGy8nJSZJUt26A8vPzdfz4MZnNTjp9+rTt2js4OOi5517UgQP7\n1apVW33wwXxJ0nvvzSn3fFSrVlkrVqwqtdYrYdcwN2PGDH311VcqKChQr1691KJFC0VFRclkMikg\nIEDx8fFycOBOTwAAgBvFXXd5y9XVTZLk5VVN+fn5JbZHR8dpwYIUHTs2RQ0b3lti26FDB/XQQw9L\nkho2bCSz+cKvmgcO/KrXX58gSbJaC+Xt7XPRuE2bNpck1a5dR6dOZUqSPD2ryNOziiRp//79atz4\nfklSQMDdSk8/UaJ9aWMcPHhADRveJ0ny8PBQv36hJdo8+WQXzZ+frCFDXpGbW+WLAuaBA78qMPAx\nSZLFUl2urm7KyjolSfLx8bvoGE6ezFBAwN2SpMaN79esWdMu2qd27TpydnaWJDk6ln9+fHx8L2ov\nlX6Nyqu1Xr0LNVWvXkP5+flKTV2o1asvBIn4+DEym81q0uTCuW3UqLE2bFinRo3us41/9OgR+fvX\nto3ZuPH9+u67DXrooda2mvbt26NNm77XqlVfSJKys8/K1dVNgwcP0WuvjdX58zkKDHxckhQXN1rT\npycpMzPzos+1XclxeHh46Oefd2jTpu/l5uam/PyCUs+XJFWrVl1z5/5bLi4uOn/+vNzc3HTkyBH5\n+9eRi0slSVJo6Ctltn/yyS767LNP5eTkpCee+EeZ+13u+Sgo+E3t2gVesp9LsVuY27hxozZv3qwF\nCxYoNzdXc+bM0fjx4xUeHq4HHnhAcXFxWrVqlTp27GivEgAAAHCFTCZTudvT0j5WRMRwubi46NVX\nB9k+KyRJ/v7++vHH7Wrd+hHt2vWLbdXOx8dXMTGjVLNmTW3btkWZmScv6nfnzp/VqdMT2rdvjywW\niySV+KO/n5+ftm3brFat2mr37p26/XavEu1LG8NsNttCy7lz5xQXF6U33piq4uJiSdLatd+oceO/\nqW/fEH355WeaPz9Z0dHxtj59ff21desW1at3jzIy0pWdfVYeHp5lnqdq1Szas2e36tYN0JYtm+Tn\n5/e/fR1sY5Z2ess6Pw4OpV+L0sYur1ap5P5du/Yo8QUwhYWF2r17lwIC6mn79q3y969jq1uS7rjj\nLu3f/6tyc3N12223acuWTapVq2Qg9/X1U2BgAwUGPqasrFNauvRjnTx5Ujt3/qzx4ycpLy9PXbv+\nXR07PqbVq1dp5Mhxki7c4vnHlcIrOY7ly5epcmV3RUaO0OHDh5SWtsR2nv9sypSJiosbIz8/f82e\nPUPHjh3VXXd56+DB/crPz5ezs7NiYiIVFhYhBwcHFRUVlWjfvn2gwsJC5eDgoMmTp150PYqLS+5/\nqfPh4eGsNm3aqFOnJ2x/9Lgadgtza9euVb169TRw4ECdO3dOkZGRWrRokVq0aCFJatOmjdatW0eY\nAwAAMJA6depq4MB+cnV1lcViUYMGjWy3ynXp0lVjxsQrNDRYvr5+ttvUhgwZrjFj4myfd4uKir2o\n3127diosLFS5ubmKjIy5aPvAgeFKTByjBQtSVFhYqOHDS/ZR2hi1avno+++/VWhosKxWq156qZ8k\nyc/PX6NGxSo4uL/GjIlXcvJsFRUV6ZVXXi3R5/PPv6Tx40fp669XKS8vT5GRI8r9xXvYsBGaPPk1\nFRcXy9HRURMnJkqSGjduooiIwerbN6TUdqXVfvJkRpnjlOZKa/2z+fOTdeLEcdWoUVP9+oVq5crP\nbduqVKmivn37a/Dg/jKZHOTtXUsvvzzItoJ6Yfy+mjBhtNLSFuv8+Rz17RsiLy8vnTqVqZdf7isH\nBwf17PmcnJ2d5eHhoZCQF+Xi4qLmzVuW+JzilRxH06bNlZAQox07tsvJyUne3rXKPG+BgY8rNnaY\n3N09ZLFU15kzp1W1alX17v2CBg0Kkclk0sMPt5bFUl2NGt1n+6zc71xdXVW3bj1ZrYW2Fcrf1alT\nV++9N6fEbbeXOh8uLk7q2fO5awpykmQqLiu+XqOYmBgdPXpU06dP1+HDhxUaGqqcnBytXbtWkvTf\n//5XqampmjRpUpl9FBZaZTY72qO8a7K0c5e/ugTgpvePtE/+6hIAABUkKSlJ1apVU69eva6oXUFB\ngTp27Kivv/7aPoXdIh599FGtWLFCLi4uf3UpuEJ2W5mrUqWKateuLWdnZ9WuXVsuLi46fvy4bXtO\nTs4lv8I0K+v8ZY9nsbgrIyP7qusFcGOpyNcz7x8oD/MD5WF+XB85OXmqVOm3KzqX+fn5CgsLVevW\nj9yw18Ao88NqLVJGRrZcXPIvvTOuiyuZGxaLe5nb7BbmmjZtqvfee08vvfSS0tPTlZubqwcffFAb\nN27UAw88oDVr1qhly5b2Gh4AAAAGERzc/4rbODs76513ZtuhmluPvR/sDvuxW5hr166dvvvuO3Xr\n1k3FxcWKi4uTt7e3YmNj9cYbb6h27drq1KnTpTsCAAAAAFzEro8miIyMvOhnKSk8OwoAAAAArhUP\neQMAAAAAAyLMAQAAAIAB2fU2SwAAAFy5V6a8f137Swp7ttztGzas14kTx9WlyzPXddw/i4+P1pEj\nhxUbO0q+vn5X3c+8eXPVtGkzNWjQ6Jprmj17hry8vPTUU92uuS9Jio4eqnHjJl5Rm9TUhSUe4l0R\nSjvu5cuXysPDQ61ata3QWnbs+FGjRsWoXbsOevnlQVfVx/W+jkZBmAMAALjFtWz5UIWM88MP32rZ\nspXX3E+fPi9eezF2cqVBTpKSk+dUeJgrzRNP/OMvGffbb/+r7t17qlu3nn/J+EZGmAMAALjFLV++\nVAcO7NdTT3XVyJEjVL16DR05clgNGjRURMTwEvsOGhQiX18/HTiwX5KUkDBOBw7s1zvvJMnJyUmd\nOz8tLy8vzZz5jlxcXOTh4anhw+M0Y8bbOnfunKKiXtWYMa9p4sRxOnz4kIqKitSvX6juv7+ZZsx4\nW5s3/yCrtVBt2z6q5557UYsXf6gVK5bJwcFB9es3UHj4UI0dO1Lt2weqWbMWGjcuQUePHpHValXP\nnr3Vvn2gBg0KUUDA3dq3b6/Onz+n0aMTVbPmHZo+fap++eUnnT17RnXr1lN0dHyp52P27Bk6eHC/\nsrKylJ19VuHhkWrcuIm6dn1Svr5+8vPzV/fuvTR+/ChZrVaZTCaFhUUoIKCeOnfupLS0z7V37x69\n+uobys8vlKenp4YPj5ebm5smT35NP/+8QwUFhQoODtG+fXt19uwZTZo0QUFBvTR+fIIcHc0qKipS\nfPwY1ahR86L6du/epVmzpum1197UypWfa968d5Wc/IG2bduiFSs+1YABgzV6dKxycnJktVrVr1+o\nmjZtrj59glSrlq+cnMzy8fGTJB0+fEgJCSM0bFisvvnmK3l5ecnHx0/z578nJyezjh49ovbtA/XC\nC8E6fPiQxo4dKbPZrJo179CxY0c1depMW11Wq1UTJ45TevoJZWae1MMPt1FIyAB9881XSklJltls\nVrVqFiUkjJODw4VPe/3004/69NM0mc1Oslhq6N//fsdW49ChIzRhwiidOXNGkhQePlR16tTVV1+t\n1MKF8+Xg4KD77mui0NBXLlnD2LEj5eTkpOPHjykz86Sio0fq7rvv0bJlH2vJklQVFVnVqlVbBQf3\nL7X/2bNn6Mcftyk3N1dRUbHy8/O/6tfb9USYAwAAgM2hQwc1efJUubhUUlBQF2VmnpSXV7US+zRq\ndJ+GDo3W4sUfat68d9WmTTvl5+dr1qxkFRcXKyioi6ZN+7cslupatGiBkpNnKyIiSmvWrNaECW9o\nyZKP5OlZRcOHx+nMmdMaODBEKSmL9OWXnykpaYa8vKpp+fILzz5bvnyphgwZpvr1G2rJko9UWFho\nq+OTT1JVpUoVxcWN1vnzOerb9zk1bdpCklS/fkOFhQ3RjBlv68svP9czz3STu7u73nxzmoqKitSn\nT5AyMtLLPA8uLpX01lvTtW/fXiUkxCg5eYHS009ozpwUeXpWUUxMpLp376nWrR/R7t07NWHCaM2e\nPc/WPjFxjCZOTJSnZw0tW/ax5s9P1j33NNCZM6c1a9Z7Onv2rBYunK9+/UKVmrpIERFRSk1dpPr1\nG2rAgDBt3bpZOTnnSq0tIKCejh8/pvz8fG3YsF4mk4NOncrU2rXfqG3bdkpOnq1mzR5QUFAvZWSk\na8CAf2rRok+Um5urF18MVr169/wvsB7Qp5+mKS5ujGrV8tE333xlG+PEiWOaO3eBCgoK9NRTj+mF\nF4L19ttT9PzzL+nBB1spLW2Jjh07WqKu9PQTatjwXkVFxSovL0/PPPOEQkIG6MsvP9ezz/ZRu3Yd\ntGLFMuXk5Mjd/cKDsBs0aKTHH39SXl5eatu2nZKS3rDVOG3aW2ratIWefrqbDh06qHHjEpSY+Ibm\nzJmhf/97nipVqqTRo2P13XcbLlmDJNWseYciI0coLW2J0tIW65//fFkpKclKTl4gZ2cXTZ8+VceP\nHy+zf19ff4WHR5Q5Z/4KhDkAAADY3HWXt1xd3SRJXl7VlJ+ff9E+TZs2lyTde+99Wrv2G0mSj4+v\nJOn06dNydXWTxVJdktSkyd80Y8a0Eu337t2jbds266effpQkWa2FOn36tOLiRmv69CRlZmbabv2M\njo7TggUpOnZsiho2vLdEP/v371ezZhfCm6urm/z8/HXkyGFJUr16d0uSatSooczMTLm4VFJWVpbi\n46Pl6uqq3NzcEsGwrGOsXbuOTp3KlCR5elaRp2cV29iNG98vSQoIuFvp6SdKtD9w4FclJCQoP79Q\nVmuhvL19dPDgATVseJ8kycPDQ/36hZZo8+STXTR/frKGDHlFbm6V1b//wDLra9HiQW3a9L3S008o\nMPAxff/9t9q6dYtCQgYqNXWhAgMfkyRZLNXl6uqmrKxTkmRbkZMufFbS0dHRtkr2R7Vr15XZbJbZ\nbJaLSyXbMTVq1FiS1Ljx3/TFFytKtPHw8NDPP+/Qpk3fy83NTfn5BZKkV175l+bNm6vU1EXy9fVT\nmzaPlHlcf6xx37492rTpe61a9YUkKTv7rA4fPqTTp7MUETFYknT+/HnbNS+vBunCdZKk6tVraPv2\nrTpy5Ij8/evYji809BX99NOPZfb/+xy/kfBtlgAAALAxmUyX3Gfnzp8lSdu2bZW/f21JkoPDhXZV\nqlTR+fM5OnnypCRpy5ZNqlXLp0R7X18/dejQSVOnztTrr7+ldu06yNXVVatXr9LIkeOUlDRDK1Ys\n0/Hjx5SW9rEiIoZr6tSZ2r17p7Zv32rrx8/PT9u2bZYknT+fo7179+rOO+8s9Tg2bFin9PQTSkgY\np5CQgcrL+03FxcWXPMZ9+/bIYrH87xj//1fnP469e/dO3X67V4n2Pj6+SkxM1NSpMxUaOlgPPdRK\nfn5++uWXnyRJ586d06uvXviyj9/rWLv2GzVu/DdNmfKO2rVrr/nzk8usr02bR5SSMld16gSoRYsH\n9dFHC+Xt7S2z2SxfX39t3bpFkpSRka7s7LPy8PC86LwEBfXS4MGvauzYkbJarSX6L20a1K5dRz/+\nuE2StGPH9ou2L1++TJUruys+fox69nzOdo7T0pYoODhEU6fOVHFxsdas+brM4/pjjb6+fgoKelZT\np87U6NETFBj4uO644y5Vr15Db745TVOnzlS3bj1KhPyyavjzsUsX/nBx8OB+2x8sYmIidfvtXmX2\n//scv5GwMgcAAIArsnz5Mi1c+L4qVaqk2NhR2rt3j22byWRSZOQIjRgxVA4OJrm7eyg6emSJ9l26\nPKPExDEaNChEOTnn9PTT3eXs7CwPDw+FhLwoFxcXNW/eUjVq1FSdOnU1cGA/ubq6ymKxqEGDRrZb\nMDt3vtBPaGiw8vLy1LdvP1WtenupNdev31Bz587WwIH9ZDKZdOedd+nkyYwyj3HXrp0KCwtVbm6u\nIiNjLto+cGC4EhPHaMGCFBUWFmr48NgS24cMGa5hw4YpNzdPJpNJUVGxqlXLR99//61CQ4NltVr1\n0kv9JEl+fv4aNSpWwcH9NWZMvJKTZ6uoqEivvPKqpAufU/zjZ9OkC7e6Hjp0QL17P6+6dQN04sRx\n9e79giTp+edf0vjxo/T116uUl5enyMgRMptL/7W/efOWWr16VbnB8XehoYM1fvwoffBBitzcKl/U\nZ9OmzZWQEKMdO7bLyclJ3t61dPJkhurXb6jIyHC5urrptttu00MPtbrkWBeOo68mTBittLTF/7uN\nNkRVq1ZVjx69NWhQiKxWq+644049+mjHS9ZQmqpVq6p37xc0aFCITCaTHn64tWrWvKPc/m80puLy\n/iTxF8vIyL7sfS0W9yva/1psCH6uQsYBbmUtZ6dU2FgV+f4B42F+oDy34vwYNChEQ4dGX9OjBW50\nV/s194WFhQoK6qLFiz+VdP3mx5QpryssbMg193OtvvhihRo0aCRv71pauvRjbd++tcwvkUH5rmRu\nWCzuZW5jZQ4AAAC4Rvn5+QoLC9Ujjzx63fvu2bP3de/zalSvXkPx8dGqVKmSHBwcFBUVe+lGsCtW\n5q4CK3OA/bEyhxsF8wPlYX6gPMwPlOV6rczxBSgAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAA\nDIhvswQAALjBjPjoX9e1v7HdJpe7fcOG9Tpx4ri6dHnmuo77Z/Hx0Tpy5LBiY0dd06MN5s2bq6ZN\nm6lBg0bXXNPVPoagLNHRQzVu3MQrapOaulBdu/a4LuNfrtKOe/nypfLw8FCrVm2vut/rdY1xeQhz\nAAAAt7iWLR+qkHF++OFbLVu28pr76dPnxWsvxk6uNMhJUnLynAoPc6V54ol/XHMf1+sa4/IQ5gAA\nAG5xy5cv1YED+/XUU101cuQIVa9eQ0eOHFaDBg0VETG8xL6DBoXI19dPBw7slyQlJIzTgQP79c47\nSXJyclLnzk/Ly8tLM2e+IxcXF3l4eGr48DjNmPG2zp07p6ioVzVmzGuaOHGcDh8+pKKiIvXrF6r7\n72+mGTPe1ubNP8hqLVTbto/quede1OLFH2rFimVycHBQ/foNFB4+VGPHjlT79oFq1qyFxo1L0NGj\nR2S1WtWzZ2+1bx+oQYNCFBBwt/bt26vz589p9OhE1ax5h6ZPn6pffvlJZ8+eUd269cp84PXs2TN0\n8OB+ZWVlKTv7rMLDI9W4cRN17fqkfH395Ofnr+7de2n8+FGyWq0ymUwKC4tQQEA9de7cSWlpn2vv\n3j169dU3lJ9fKE9PTw0fHi83NzdNnvyafv55hwoKChUcHKJ9+/bq7NkzmjRpgoKCemn8+AQ5OppV\nVFSk+PgxqlGj5kX17d69S7NmTdNrr72plSs/17x57yo5+QNt27ZFK1Z8qgEDBmv06Fjl5OTIarWq\nX79QNW3aXH36BKlWLV85OZnl4+MnSTp8+JASEkZo2LBYffPNV/Ly8pKPj5/mz39PTk5mHT16RO3b\nB+qFF4J1+PAhjR07UmazWTVr3qFjx45q6tSZtromTZpQ4hqXdW2qVr1dZ8+e1RtvJMnR0VGStG/f\nHiUlTVZRUZFOnz6tiIgo3XtvY1vfxcXFF5271q0fUVLSZG3btkWS1LHjYwoK6mWr8fjxYyooKFD7\n9oFat26NTpw4rgkT3tCJE8f13ntz5ODgoMzMTHXu/LS6dg3S5s0/6N13Z6moqEi5ubmKjx8jJyen\nUl8ToaF9NXToCNWuXUf//e86rVv3H0VERF31a/BqEeYAAABgc+jQQU2ePFUuLpUUFNRFmZkn5eVV\nrcQ+jRrdp6FDo7V48YeaN+9dtWnTTvn5+Zo1K1nFxcUKCuqiadP+LYuluhYtWqDk5NmKiIjSmjWr\nNWHCG1qy5CN5elbR8OFxOnPmtAYODFFKyiJ9+eVnSkqaIS+valq+fKmkC0FzyJBhql+/oZYs+UiF\nhYW2Oj75JFVVqlRRXNxonT+fo759n1PTpi0kSfXrN1RY2BDNmPG2vvzycz3zTDe5u7vrzTenqaio\nSH36BCkjI73M8+DiUklvvTVd+/btVUJCjJKTFyg9/YTmzEmRp2cVxcREqnv3nmrd+hHt3r1TEyaM\n1uzZ82ztExPHaOLERHl61tCyZR9r/vxk3XNPA505c1qzZr2ns2fPauHC+erXL1SpqYsUERGl1NRF\nql+/oQYMCNPWrZuVk3Ou1NoCAurp+PFjys/P14YN62UyOejUqUytXfuN2rZtp+Tk2WrW7AEFBfVS\nRka6Bgz4pxYt+kS5ubl68cVg1at3z/8C6wF9+mma4uLGqFYtH33zzVe2MU6cOKa5cxeooKBATz31\nmF54IVhvvz1Fzz//kh58sJXS0pbo2LGjJer64zVOTV1Y5rXp0KGT2rZtV6Ltr7/u06BB/1KdOnX1\nxRefafnypSXC3Jo1X1907hwcHHXs2FHNnDlXVqtVoaHBatq0uSSpZs07NGxYjCZOHKdjx45o0qS3\nNHv2DK1bt0Z169bTyZMZmjNnvoqLi/T88z316KMd9Ouv+xQXN1rVqln03ntztHr1SgUGPl7qa+LJ\nJ5/SZ58t04ABYfr00zT16fNSmXPJnghzAAAAsLnrLm+5urpJkry8qik/P/+ifX7/hfnee+/T2rXf\nSJJ8fHw0QPFIAAAVdklEQVQlSadPn5arq5ssluqSpCZN/qYZM6aVaL937x5t27ZZP/30oyTJai3U\n6dOnFRc3WtOnJykzM9N262d0dJwWLEjRsWNT1LDhvSX62b9/v5o1uxAQXF3d5OfnryNHDkuS6tW7\nW5JUo0YNZWZmysWlkrKyshQfHy1XV1fl5uaWCIZlHWPt2nV06lSmJMnTs4o8PavYxm7c+H5JUkDA\n3UpPP1Gi/YEDvyohIUH5+YWyWgvl7e2jgwcPqGHD+yRJHh4e6tcvtESbJ5/sovnzkzVkyCtyc6us\n/v0HlllfixYPatOm75WefkKBgY/p+++/1datWxQSMlCpqQsVGPiYJMliqS5XVzdlZZ2SJNuKnHTh\ns5KOjo5ycLj4OxFr164rs9kss9ksF5dKtmNq1OhCwGrc+G/64osVZdZX3rX5fa78UbVq1TV37r/l\n4uKi8+fPy83NrcT20s7d+++/p8aNm8hkMslsNqthw3u1f/8+SVK9evdIkipXdrd9ds/d3V15eRfm\nc6NG98nZ2fl/x1pHR44clsVi0ZtvTtRtt7kqIyPdFiZLe008+mhHBQc/p169+igjI113331PmefC\nnvg2SwAAANiYTKZL7rNz58+SpG3btsrfv7YkycHhQrsqVaro/PkcnTx5UpK0Zcsm1arlU6K9r6+f\nOnTopKlTZ+r1199Su3Yd5OrqqtWrV2nkyHFKSpqhFSuW6fjxY0pL+1gREcM1depM7d69U9u3b7X1\n4+fnp23bNkuSzp/P0d69e3XnnXeWehwbNqxTevoJJSSMU0jIQOXl/abi4uJLHuO+fXtksVj+d4z/\n/6vzH8fevXunbr/dq0R7Hx9fJSYmaurUmQoNHayHHmolPz8//fLLT5Kkc+fO6dVXB0mSrY61a79R\n48Z/05Qp76hdu/aaPz+5zPratHlEKSlzVadOgFq0eFAffbRQ3t7eMpvN8vX119atF249zMhIV3b2\nWXl4eF50XoKCemnw4Fc1duxIWa3WEv2XNg1q166jH3/cJknasWN7mbX9+fz8+dqUFh6nTJmo4OD+\niolJUJ06dS+6NqWdO19ff9stloWFhfrxx23y9va56DhLs3v3LlmtVv3222/69dd98vb2UWLiWEVH\nx2vEiJGqVs3yh3NxcV+33Xab7r+/md58c5ICAx8vdyx7YmUOAAAAV2T58mVauPB9VapUSbGxo7R3\n7x7bNpPJpMjIERoxYqgcHExyd/dQdPTIEu27dHlGiYljNGhQiHJyzunpp7vL2dlZHh4eCgl5US4u\nLmrevKVq1KipOnXqauDAfnJ1dZXFYlGDBo1st2B27nyhn9DQYOXl5alv336qWvX2UmuuX7+h5s6d\nrYED+8lkMunOO+/SyZMZZR7jrl07FRYWqtzcXEVGxly0feDAcCUmjtGCBSkqLCzU8OGxJbYPGTJc\nw4YNU25unkwmk6KiYlWrlo++//5bhYYGy2q16qWX+kmS/Pz8NWpUrIKD+2vMmHglJ89WUVGRXnnl\nVUkXPqf4x8+mSRdWlg4dOqDevZ9X3boBOnHiuHr3fkGS9PzzL2n8+FH6+utVysvLU2TkCJnNpf/a\n37x5S61evarc4Pi70NDBGj9+lD74IEVubpXL7FO6smsjSYGBjys2dpjc3T1ksVTXmTOnS2xv1art\nRefuwQcf1ubNP6h//5dUUFCgRx/tcNkrZIWFhYqIGKwzZ87ohReCVaVKFXXq9LgGDOin226rpKpV\nvcqdH5L0j388rQEDgi/6XGlFMhWX9yeJv1hGRvZl72uxuF/R/tdiQ/BzFTIOcCtrOTulwsaqyPcP\nGA/zA+W5FefHoEEhGjo0+qb+2vmrfVxBYWGhgoK6aPHiTyVdv/kxZcrrCgsbcs39XKsvvlihBg0a\nydu7lpYu/Vjbt28t80tkbmSbNn2vTz5JVULC+Gvq5+efd+ijjxYqNnbUFbe9krlhsbiXuY2VOQAA\nAOAa5efnKywsVI888uh177tnz97Xvc+rUb16DcXHR6tSpUpycHBQVFTspRvdpFJTF2rZsk80atSE\nv7QOVuauAitzgP2xMocbBfMD5WF+oDzMD5Tleq3M8QUoAAAAAGBAhDkAAAAAMCDCHAAAAAAYEGEO\nAAAAAAyIMAcAAAAABkSYAwAAAAADIswBAAAAgAER5gAAAADAgMz27Pzpp59W5cqVJUne3t7q0aOH\nxo4dK0dHR7Vq1UqDBg2y5/AAAAAAcNOyW5jLy8tTcXGx5s2bZ/tZly5dlJSUpFq1aikkJEQ//fST\nGjRoYK8SAAAAAOCmZbfbLH/55Rfl5uaqb9++ev755/Xdd98pPz9fPj4+MplMatWqldavX2+v4QEA\nAADgpma3lblKlSopODhY3bt31/79+9WvXz95eHjYtru5uenQoUPl9lG1qqvMZsfLHtNicb/qegHc\nWCr69cz7B8rD/EB5mB8oD/MDZbkec8NuYc7f31++vr4ymUzy9/eXu7u7Tp8+bduek5NTItyVJivr\n/GWPZ7G4KyMj+6rrBXBjqcjXM+8fKA/zA+VhfqA8zA+U5UrmRnmhz263WX700UeaMGGCJOnEiRPK\nzc2Vq6urDh48qOLiYq1du1bNmjWz1/AAAAAAcFOz28pct27dNHz4cPXq1Usmk0njxo2Tg4ODIiIi\nZLVa1apVKzVu3NhewwMAAADATc1uYc7Z2Vmvv/76RT9ftGiRvYYEAAAAgFsGDw0HAAAAAAMizAEA\nAACAARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAA\nAAMizAEAAACAARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAG\nRJgDAAAAAAMizAEAAACAARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgw\nBwAAAAAGRJgDAAAAAAMizAEAAACAARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4A\nAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACAARHmAAAAAMCA7BrmMjMz1bZtW+3du1cHDhxQr169\n9Oyzzyo+Pl5FRUX2HBoAAAAAbmp2C3MFBQWKi4tTpUqVJEnjx49XeHi43n//fRUXF2vVqlX2GhoA\nAAAAbnp2C3OJiYnq2bOnqlevLknasWOHWrRoIUlq06aN1q9fb6+hAQAAAOCmZ7ZHp4sXL9btt9+u\n1q1ba+bMmZKk4uJimUwmSZKbm5uys7Mv2U/Vqq4ymx0ve1yLxf3qCgZww6no1zPvHygP8wPlYX6g\nPMwPlOV6zA27hLnU1FSZTCb997//1c8//6xhw4bp1KlTtu05OTny8PC4ZD9ZWecve0yLxV0ZGZcO\niACMoSJfz7x/oDzMD5SH+YHyMD9QliuZG+WFPruEufnz59v+3adPH40cOVITJ07Uxo0b9cADD2jN\nmjVq2bKlPYYGAAAAgFtChT2aYNiwYUpKSlKPHj1UUFCgTp06VdTQAAAAAHDTscvK3B/NmzfP9u+U\nlBR7DwcAAAAAtwQeGg4AAAAABkSYAwAAAAADIswBAAAAgAER5gAAAADAgAhzAAAAAGBAhDkAAAAA\nMCDCHAAAAAAYEGEOAAAAAAyIMAcAAAAABkSYAwAAAAADIswBAAAAgAER5gAAAADAgAhzAAAAAGBA\nhDkAAAAAMCDCHAAAAAAYEGEOAAAAAAyIMAcAAAAABkSYAwAAAAADIswBAAAAgAER5gAAAADAgAhz\nAAAAAGBAhDkAAAAAMCDCHAAAAAAYEGEOAAAAAAyIMAcAAAAABkSYAwAAAAADuuIw99tvv+ncuXP2\nqAUAAAAAcJnMV7Lzhx9+qHnz5qm4uFgdOnRQWFiYveoCAAAAAJSj3JW53bt3l/j/qlWrlJaWpqVL\nl2rlypV2LQwAAAAAULZyV+YWLlyo/Px8DRw4UDVq1FD9+vUVHBwsJycn1a1bt6JqBAAAAAD8Sblh\nLiYmRr/++qsmTpyoO++8UyEhIUpPT1dBQYHuvvvuiqoRAAAAAPAnl/wCFH9/f02aNEnt2rVTRESE\n1qxZo9q1a1dEbQAAAACAMpQb5ubPn68OHTqoU6dOSk9P1/Tp03XXXXfp5ZdfVlpaWkXVCAAAAAD4\nk3LD3AcffKDPP/9cS5Ys0YwZMyRJHTt21MyZM3k8AQAAAAD8hcr9zJzFYtHYsWOVl5cnf39/288d\nHR317LPP2r04AAAAAEDpyg1z06dP13/+8x85OTnp4YcfvqKOrVar7QtUTCaTEhIS5OLioqioKJlM\nJgUEBCg+Pl4ODlf83HIAAAAAuOWVG+acnZ3Vvn37q+p49erVki7cqrlx40ZNnjxZxcXFCg8P1wMP\nPKC4uDitWrVKHTt2vKr+AQAAAOBWVm6YuxYdOnTQI488Ikk6evSoPDw8tH79erVo0UKS1KZNG61b\nt67cMFe1qqvMZsfLHtNicb+mmgHcOCr69cz7B8rD/EB5mB8oD/MDZbkec8NuYU6SzGazhg0bpi+/\n/FJvvfWW1q1bJ5PJJElyc3NTdnZ2ue2zss5f9lgWi7syMsrvD4BxVOTrmfcPlIf5gfIwP1Ae5gfK\nciVzo7zQZ/cPrCUmJurzzz9XbGys8vLybD/PycmRh4eHvYcHAAAAgJuS3cLcxx9/bHucwW233SaT\nyaRGjRpp48aNkqQ1a9aoWbNm9hoeAAAAAG5qdrvNMjAwUMOHD1fv3r1VWFio6Oho1alTR7GxsXrj\njTdUu3ZtderUyV7DAwAAAMBNzW5hztXVVVOmTLno5ykpKfYaEgAAAABuGTzkDQAAAAAMyK7fZgkA\nKOmVKe//1SUAN72ksGf/6hIAoEKwMgcAAAAABkSYAwAAAAADIswBAAAAgAER5gAAAADAgAhzAAAA\nAGBAhDkAAAAAMCDCHAAAAAAYEGEOAAAAAAyIMAcAAAAABkSYAwAAAAADIswBAAAAgAER5gAAAADA\ngAhzAAAAAGBAhDkAAAAAMCDCHAAAAAAYEGEOAAAAAAyIMAcAAAAABkSYAwAAAAADIswBAAAAgAER\n5gAAAADAgAhzAAAAAGBAhDkAAAAAMCDCHAAAAAAYEGEOAAAAAAyIMAcAAAAABkSYAwAAAAADIswB\nAAAAgAER5gAAAADAgAhzAAAAAGBAhDkAAAAAMCDCHAAAAAAYEGEOAAAAAAzIbI9OCwoKFB0drSNH\njig/P1+hoaGqW7euoqKiZDKZFBAQoPj4eDk4kCUBAAAA4GrYJcylpaWpSpUqmjhxok6fPq2nnnpK\n99xzj8LDw/XAAw8oLi5Oq1atUseOHe0xPAAAAADc9OyyNPbYY48pLCxMklRcXCxHR0ft2LFDLVq0\nkCS1adNG69evt8fQAAAAAHBLsMvKnJubmyTp3LlzGjx4sMLDw5WYmCiTyWTbnp2dfcl+qlZ1ldns\neNnjWizuV1cwgBtORb+eef8Abh68f+BGwvxAWa7H3LBLmJOkY8eOaeDAgXr22Wf1j3/8QxMnTrRt\ny8nJkYeHxyX7yMo6f9njWSzuysi4dEAEYAwV+Xrm/QO4ufD+gRsF8wNluZK5UV7os8ttlidPnlTf\nvn01dOhQdevWTZLUoEEDbdy4UZK0Zs0aNWvWzB5DAwAAAMAtwS5hbvr06Tp79qymTZumPn36qE+f\nPgoPD1dSUpJ69OihgoICderUyR5DAwAAAMAtwS63WcbExCgmJuain6ekpNhjOAAAAAC45fCgNwAA\nAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACAARHmAAAAAMCACHMAAAAA\nYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACAARHmAAAAAMCA\nCHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACAARHm\nAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEA\nAACAARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABiQ+a8uAAAAAJc24qN//dUlADe1sd0m\n/9UlXDG7rsxt3bpVffr0kSQdOHBAvXr10rPPPqv4+HgVFRXZc2gAAAAAuKnZLczNmjVLMTExysvL\nkySNHz9e4eHhev/991VcXKxVq1bZa2gAAAAAuOnZLcz5+PgoKSnJ9v8dO3aoRYsWkqQ2bdpo/fr1\n9hoaAAAAAG56dvvMXKdOnXT48GHb/4uLi2UymSRJbm5uys7OvmQfVau6ymx2vOwxLRb3Ky8UwA2p\nol/PvH8ANw/ePwBcDSO+d1TYF6A4OPz/ImBOTo48PDwu2SYr6/xl92+xuCsj49IBEYAxVOTrmfcP\n4ObC+weAq3GjvneUF/oq7NEEDRo00MaNGyVJa9asUbNmzSpqaAAAAAC46VRYmBs2bJiSkpLUo0cP\nFRQUqFOnThU1NAAAAADcdOx6m6W3t7cWLVokSfL391dKSoo9hwMAAACAW0aFrcwBAAAAAK4fwhwA\nAAAAGBBhDgAAAAAMiDAHAAAAAAZEmAMAAAAAAyLMAQAAAIABEeYAAAAAwIAIcwAAAABgQIQ5AAAA\nADAgwhwAAAAAGBBhDgAAAAAMiDAHAAAAAAZEmAMAAAAAAyLMAQAAAIABEeYAAAAAwIAIcwAAAABg\nQIQ5AAAAADAgwhwAAAAAGBBhDgAAAAAMiDAHAAAAAAZEmAMAAAAAAyLMAQAAAIABEeYAAAAAwIAI\ncwAAAABgQIQ5AAAAADAgwhwAAAAAGBBhDgAAAAAMiDAHAAAAAAZEmAMAAAAAAyLMAQAAAIABEeYA\nAAAAwIAIcwAAAABgQIQ5AAAAADAgwhwAAAAAGJC5IgcrKirSyJEjtXPnTjk7O2vMmDHy9fWtyBIA\nAAAA4KZQoStzK1euVH5+vhYuXKghQ4ZowoQJFTk8AAAAANw0KjTM/fDDD2rdurUkqUmTJvrxxx8r\ncngAAAAAuGmYiouLiytqsBEjRigwMFBt27aVJD3yyCNauXKlzOYKvdsTAAAAAAyvQlfmKleurJyc\nHNv/i4qKCHIAAAAAcBUqNMzdf//9WrNmjSRpy5YtqlevXkUODwAAAAA3jQq9zfL3b7PctWuXiouL\nNW7cONWpU6eihgcAAACAm0aFhjkAAAAAwPXBQ8MBAAAAwIAIcwAAAABgQIQ5AAAAADAgwhwAAAAA\nGBBhDgAAAAAMiDAHAAAAAAZEmAMAAAAAAyLMAQAAAIAB/R9eai7P7EEnhQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1081acb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "~40% of users are professional (either working for a company or freelancers)<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### I consider myself part of the Freesound community"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAl8AAAEuCAYAAACwKXfkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1080fab00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "As expected, the feeling of belonging to the Freesound community is significantly higher when only considering users that do upload sounds.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "md('## User profiling', br=False)\n",
    "\n",
    "# Age\n",
    "serie = remove_none(data_for_field('Age'))\n",
    "plt.figure(figsize=(15,5))\n",
    "plt.hist(remove_none(serie), bins=20)\n",
    "plt.ylabel('n responses')\n",
    "\n",
    "md('### Age histogram', br=False)\n",
    "plt.show()\n",
    "md('Average age is {:.2f} years old, with standard deviation {:.2f} years'.format(np.average(serie), np.std(serie)))\n",
    "\n",
    "# Profiles\n",
    "md('### Profiles', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('I\\'d describe myself as a...'))\n",
    "total = len(serie)\n",
    "expanded_serie = list()\n",
    "for element in serie:\n",
    "    expanded_serie += [item.lower() for item in element.split(';')]\n",
    "\n",
    "for count, (label, freq) in enumerate(Counter(expanded_serie).most_common()):\n",
    "    percentage = 100 * freq / total\n",
    "    if percentage > 1:  # Remove unfrequent responses\n",
    "        plt.bar(count, percentage, label=label)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.')\n",
    "\n",
    "# Audio expertise\n",
    "md('### Number of years working with audio', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('I have worked with audio for approximately...'))\n",
    "total = len(serie)\n",
    "options = ['<2 years', '2-4 years', '5-7 years', '8-10 years', '>10 years']\n",
    "\n",
    "for count, option in enumerate(options):\n",
    "    freq = serie.count(option)\n",
    "    plt.bar(count, 100 * freq / total, label=option)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('The spectrum seems to be unexpectedly polariezed, like lots of expert and novice audio users.')\n",
    "\n",
    "# Freesound longevity\n",
    "md('### Number of years being a Freesound user', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('I\\'ve been a Freesound user for...'))\n",
    "total = len(serie)\n",
    "options = ['<2 years', '2-4 years', '5-7 years', '8-10 years', '>10 years']\n",
    "\n",
    "for count, option in enumerate(options):\n",
    "    freq = serie.count(option)\n",
    "    plt.bar(count, 100 * freq / total, label=option)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "\n",
    "# Professional vs non-professional users\n",
    "md('### Professional vs non-professional usage', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('I use Freesound content...'))\n",
    "total = len(serie)\n",
    "for count, (label, freq) in enumerate(Counter(serie).most_common()):\n",
    "    plt.bar(count, 100 * freq / total, label=label)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('~40% of users are professional (either working for a company or freelancers)')\n",
    "\n",
    "# Community belonging\n",
    "serie1 = data_for_field('I consider myself part of the Freesound community')\n",
    "plt.figure(figsize=(10, 5))\n",
    "serie2 = data_for_field('I use Freesound...')  # Now only consider data from uploaders\n",
    "serie1_uploaders = [item for count, item in enumerate(serie1) if serie2[count] is not None and 'upload' in serie2[count]]\n",
    "\n",
    "md('### I consider myself part of the Freesound community', br=False)\n",
    "plt.boxplot([remove_none(serie1), remove_none(serie1_uploaders)])\n",
    "plt.ylabel('score')\n",
    "plt.xticks([1, 2], ['All users','Uploaders only'])\n",
    "plt.show()\n",
    "md('As expected, the feeling of belonging to the Freesound community is significantly higher when only considering users that do upload sounds.')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## Use of Freesound"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Uploaders vs downloaders"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEjCAYAAACYWFikAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAGBAhDkAAAAAMKD/B1fLxZDXNSVCAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10854dcc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Vritually all users of Freesound use it to download sounds. However, there is ~25% of users who use it to enjoy listening to sounds onsite (therefore use it as an end per se, not as a tool). Also ~20% of users who answered the survey do upload sounds. We know that this number is biased and the reality is that less than 1% if registered users do actually upload sounds. However this is to be expected as people that feel closer to the community (and potentially upload sounds) will probably feel more inclined to answer the survey.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Frequency of usage of Freesound"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAElCAYAAABOAbu5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XlAlWXe//HPYZGdRDmYigIumaLmmKmVS48LNE5m9qCl\naJM4bmFppaAILqGokeK+prlgo06lYtlkMaZl5tiYmTZjoWCCGxi4gILA+f3RPMyPUdw6B8+N79df\nch/u73Wd8z3XHx+vm/s2WSwWiwAAAAAAhuJwtycAAAAAALh9hDkAAAAAMCDCHAAAAAAYEGEOAAAA\nAAyIMAcAAAAABkSYAwAAAAADsmmYO3funDp37qyjR4/q+PHj6tevn/r3769JkyaptLTUlkMDAAAA\nQJVmszB39epVTZw4Ua6urpKk6dOna/To0Xr33XdlsViUmppqq6EBAAAAoMpzslXhmTNn6vnnn9ey\nZcskSYcPH1bbtm0lSZ06ddLu3bvVvXv3G9bIzr5olbn4+LgrN7fAKrXw29EP+0NP7Av9sC/0w77Q\nD/tCP+wL/bAv1uqH2exV4Ws2CXMffPCBatSooY4dO5aFOYvFIpPJJEny8PDQxYs3D2o+Pu5ycnK0\nypxu9CGg8tEP+0NP7Av9sC/0w77QD/tCP+wL/bAvtu6HTcLc+++/L5PJpD179uif//ynoqOj9csv\nv5S9np+fL29v75vWsdb/LJjNXlbb5cNvRz/sDz2xL/TDvtAP+0I/7Av9sC/0w75Yqx+VvjO3bt26\nsn8PHDhQkydPVmJiovbu3at27dpp165dat++vS2GBgAAAIB7QqU9miA6Olrz58/Xc889p6tXryo0\nNLSyhgYAAACAKsdmN0D5P2vXri37d3Jysq2HAwAAAIB7Ag8NBwAAAAADIswBAAAAgAER5gAAAADA\ngGz+N3MAAABAVfb14AFWrdd+hf3cZyImZqwSEhKtUissrKfWrXtPb701XV27hqh9+8esUvdexs4c\nAAAAgOuyVpCDbbAzBwAAABhMcXGxEhKm6OTJLJWUlOj558PVtGkjTZkSr9LSUpnNfpo0KV5paWma\nN29WuWM//HBY77yzXKWlpbp8+bImTZqqWrXu18SJ45Sfn68rV65o6NCX1LZtez39dKhSUj7Rjz/+\nS0lJiXJ0dFS1atUUFRUri6VUkydPkJ9fLWVlZapZs2CNGTNeZ8+e0VtvzVBRUaHOncvRkCEvqVOn\nJ655D5MnT1BIyO/12GMdlJGRroUL5ygxcW7lf5gGRpi7A9beSgdulz1dfgEAACrfli3vq3r16po4\nMV4FBfmKiBggNzdXTZqUoMDAIH344WZlZGQoMTFBkydPK3csPf2YJk6Ml6+vWWvWrNSOHZ+pY8cn\ndP78ec2aNU+5ubk6ceJ4ufFmzpymceNi1bhxE33xxedasGC2IiNH68SJn5WUtEAuLq7q27eXzp3L\n0fHjGXr++XC1bt1G33//nVasWHrdMPf00721adN7euyxDvrooxQ99VSvSvr0qg7CHAAAAGAwGRkZ\natOmrSTJ3d1DgYFB+vLLXQoMDJIkPfXUM5KkX345d82xs2dPa86cRLm5uSs7+6xatHhIDRo0VK9e\nz2ry5AkqLi5WWNjz5cbLyclW48ZNJEkPPdRaS5YskCTVresvd3cPSVLNmr4qKipSzZq+Wr16hT76\naIskk4qLi6/7Hn73u4eVlPSmcnNz9fe/f61hwyKt+AndG/ibOQAAAMBgAgMDdfDgt5KkgoJ8HT16\nVP7+/jpx4mdJUnLyKu3cuUO+vr7XHJs5c5piYiZpwoTJ8vU1S5KOHk1TQUG+EhPnasKEKZozp/zf\nyvn6mpWW9pMk6cCB/apXr74kyWQyXTO3t99eoief/IPi4uLVunWbCt+DyWRSaGgPzZmTqLZt28vJ\niX2m28UnBgAAABjM008/q5kzp2rEiMEqLCxURMQQtWoVrPj4N+Tg4KCaNWuqb9/+8vPz0/Tp5Y+F\nhv5eL700RG5urvLxqamcnGz5+9fTO+8s09/+9plKS0s1ePCwcuNFR09QUtKbslgscnR01LhxcRXO\n7X/+p6sWLpyr5ORVMpv9lJeXV+Hv9ujRU88++wetXr3eap/NvcRksVgsd3sSFcnOvmiVOmazl9Vq\nSfzNHO4+a//NnLXXCH4b+mFf6Id9oR/2hX7YFyP2Izv7rKZOnaS5cxff7alYnbX6YTZ7Vfgal1kC\nAAAAqHQ7d/5Nr7/+8jW7gLh1XGYJAAAAoNJ17txFnTt3udvTMDR25gAAAADAgAhzAAAAAGBAhDkA\nAAAAMCDCHAAAAAAYEDdAAQAAAH6Dl+e+a9V680f1t2o9a9m//xtt2fK+pkyZfsc1Fi2ap717v9Ko\nUWPKHih+4cJ5ff31HoWEPKm1a1fp4YfbqFmz5taa9l11+vRppaX9qA4dOmnkyKEaOzZGAQGBVqvP\nzhwAAACASrFjR6oWL15RFuQkKS3tJ+3evVOSNHDgi1UmyEnS/v379P3339msPjtzAAAAgIHk51/S\njBlTdenSReXkZOvZZ/uqd++wcr/z4YebtWnT+yotLVGHDp01ePAwbd/+sTZu/LOcnZ1Vr159RUVN\n0PbtH+v48QyNGPGyCgsLFR4epvfe26qRI4cqICBQx49nSJKmTEkoV/9vf/tMGzask4ODg1q2bKUR\nI14u9/qPP/5LSUmJcnR0VLVq1RQVFauPP96qc+eyNXbsaM2ePV8uLq6SpDVrViot7Sdt2fKBDh06\nqK5dQ/TLL+e0e/cuFRYW6ty5HPXp009ffLFT6elHFRk5Sh07PnHdORw8eEALFsyRk5OTXF1dNXXq\nTLm7e5TN69ixNM2fn6TS0lLl5eVpzJhxatHiobLX9+//RsnJq+Ts7KyzZ8+oV6//1f793ygt7Uf1\n6dNPvXuHad++r7Vs2WK5uLjI2/s+jR8/UT/9dETr1q2Rs7OTTp7MUteuIXr11ZeVnLxKV65cUYsW\nLSVJK1cuU27uL7p8+bImT56munX9f9N3gZ05AAAAwEAyMzPVrVuIkpIWKilpoTZsWFfu9dzcX5Sc\nvFqLFi3XypXrVFRUpNOnT2nFiqWaN2+xFi9eIU9PT23Z8v4Nx2nevKUWLFimLl26a+3ad8qOX7hw\nXitXLtXcub/Wysk5q337vi537syZ0/Taa1FasGCZevcO04IFszVo0BDVqFFTs2cvKAtykvTCCxF6\n+OE26tXr2XI1CgoK9NZb8xQe/kdt2vSeEhISFRU1Qdu2ba1wDl98sVNdunTTggXL9MwzYbpw4WK5\nmunpxzRy5KuaO3exwsP/qG3btl7zvs+ePatp0xL1+uvjtWbNSsXFvaG33pqnLVs+kMVi0ZtvJigh\nIVELFixTq1attXr1CknSmTOnNHXqm1q6dJXefXeNHB0dNWDAi+re/Ul16NBZkvTYYx00b94StW//\nmD7/PPWGn/+tYGcOAAAAMJAaNWpo48Z3tXPnDrm7e6i4uLjc61lZWQoKalgWmEaMeFn//OdhBQU1\nKNuleuih1tq37+v/uqTRUq7Oww8/Iklq0aKlvvxyZ9nxzMwTysvL1Zgxr0j6NXRlZWXqkUf+c25O\nTrYaN25SNtaSJQtu+33+3/menl4KDAySyWSSl5eXCguLKpzDwIGDtGbNSo0aNUJms981l2z6+vpp\n1aq35eLiooKCAnl4eFwzboMGDeXk5CQvLy/VqVNXzs7O8vLyVlFRofLy8uTu7iGz2U+S1KrV77R0\n6SI99lgHNWjQSE5OTnJycioXVv9/TZo0lSTVrFlT586du+3P5L+xMwcAAAAYyPr1yWrevKUmToxX\nly7dZLGUD2F16/rr558zVFRUJEmKjY2Sj08NZWSk6/Lly5KkAwf2q169+qpWrZrOncuRJB058q9y\ndY4c+ack6eDB7xQU1KDseO3adeXnV0tz5izSggXLFBb2nIKDW5Q719fXrLS0n8qNVREHBweVllqu\nOW4ymSo8p6I5bN++TT16PKX585cqKKiBUlI+KHfe3LmJGjx4mGJjp6hhw0bXfHa/jlvhsKpevboK\nCvKVk5NzzXu73nkmk0kWS+ktvac7wc4cAAAAYCCPP95JSUlvKjV1uzw9PeXo6FgW3CTJx8dH4eF/\n1MiRQ2UymfT44x11//21FRExTK+8Mkwmk4P8/etp+PCRKioq0ubN72vEiMFq0qRpuZ2qbds+1IYN\n78rV1VVxcW/o6NG0svrPPReukSOHqqSkRLVr11GXLt3LzTE6eoKSkt6UxWKRo6Ojxo2Lq/D91K3r\nr2PH0rRx463fFbSiORQVXdWMGVPl5uYmk8mkqKgJ5c4LCfm94uKi5eXlLbPZT+fP593ymJLKak6Y\nMFYODiZ5eXkrJmayjh1Lu+7vN2zYSGvWrNQDDzx4W+Pc8nws14ujdiI7++LNf+kWmM1eVqslSV8P\nHmC1WsCdaL8i2ar1rL1G8NvQD/tCP+wL/bAv9MO+WLMftriN/r3GWv0wm70qfI3LLAEAAADAgGx2\nmWVJSYliY2OVnp4uk8mkKVOmqLi4WMOGDVNgYKAkqV+/furRo4etpgAAAADgDixYsOxuTwG3wGZh\nbseOHZKk9evXa+/evUpKSlKXLl00aNAgRURE2GpYAAAAALgn2CzMdevWTU888YQk6eTJk/L29tah\nQ4eUnp6u1NRUBQQEKCYmRp6enraaAgAAAABUWTa/AUp0dLQ+/fRTzZs3T2fOnFGTJk3UvHlzLV68\nWBcuXFB0dHSF5xYXl8jJydGW07sjW5/udbengHtcz5Qtd3sKAAAAuMsq5W6W2dnZ6tu3r9avX69a\ntWpJktLS0hQfH6/Vq1ff4DzuZglcD3ezrNroh32hH/aFftgX+mFf6Id9qYy7WdrsMsvNmzfrzJkz\nGjZsWNlzHkaOHKm4uDi1bNlSe/bsUXBwsK2GBwAAACrFhPdetWq9aWFJd3TekSNH9PPPp9WqVeuy\nY6dOndSkSTFatmzVb57X6dOnlZb2ozp06PSba1V1p06dVGRknBYuXGHTcWwW5kJCQjR+/HiFh4er\nuLhYMTExql27tuLj4+Xs7CxfX1/Fx8fbangAAADgnrJ9+3a5unqWC3PWtH//Ph0/nkGYsyM2C3Pu\n7u6aO3fuNcfXr19vqyEBAACAKi8//5JmzJiqS5cuKicnW88+21cdOnTSpk2bZDI56oEHHlSzZs2v\nOe/bb/+hZcsWydHRUXXq1FVU1AQVFl65plbv3mH64IO/6OOPP5SDg4OaNm2ml19+TcnJq3TlyhW1\naNFSHTp0Lqu7ffvH2rjxz3J2dla9evUVFTVB27d/rD17dquw8IqysjIVHv5H9ejRU4cPH9K8ebNU\nWloqs9lPkybFKzMzU3PmJMpisei+++7T+PGTyt0k8dKlS5ox4w2dP39ekjR69FidOpWlXbs+V0zM\nJElSRES4Zs2ar2+/3a8NG9bJwcFBLVu20ogRL2vFiqU6dOigLl++rC5duis7+6wiI0eppKREgwb1\n1/Lla+Ti4vLvOgM0a9Y8eXl5q0ePrpo/f6maNHlQERHhWrLkHaWkfKBPP/1EJpNJXbuGqE+f53Xm\nzGm9+WaCCguvyMXFVVFRMWVzLykpUULCZAUGNtTAgS9a/btgszAHAAAAwPoyMzPVrVuIOnfuopyc\nbI0cOVS9e4epd+/ecnX1vG6Qs1gsmjlzmhYvfls+PjW0fPlibdu2VU2aNL1urW3btur116PVtGmw\nNm16TxaLRQMGvPjvnbn/BLnz5/O0YsVSvfPOOrm7e2jevFnasuV9ubm5Kz//kmbPXqATJ35WdPSr\n6tGjpxITEzR58jQFBgbpww83KyMjQ7NmzdD48RMVFNRAH364WevWrdawYZFlY6xZs1IPP9xWvXuH\n6cSJn5WQMEULFizTokXzdPnyZWVkHFOdOnXl6OiolSuX6u2318rV1VXx8XHat+9rSVJAQJBGjx6j\ngoJ8RUQM0PDhI7V37x61bt2mLMhJUseOnbV37x75+dVS7dp19M03e1WtWjXVq1dfWVmZSk39VIsW\nvS1JevXVSLVr115vv71UYWHP6dFHH9c33/xdS5Ys0NChL6m4uFhvvBGrhx5qrWef7WOT7wJhDgAA\nADCQGjVqaOPGd7Vz5w65u3uouLj4pufk5eXq3LkcxcWNkyQVFhbqkUfa6dFHH79urZiYifrzn5N1\n6tRcBQe3qLDuyZNZCgpqIHd3D0nSQw+11r59X6tZs+Zq1OgBSZKfXy0VFRVJkn755ZwCA4MkSU89\n9Ywk6fjxdM2aNUOSVFJSLH//+uXGOHYsTfv3f6PU1O2SpIsXL8jR0VFPPNFVO3f+TYcOfa+ePXsr\nM/OE8vJyNWbMK5KkgoICZWVlSpLq1w+QJLm7e6hVq9b6+9/3aNu2FL344pByY3Xu/D9avXqlatW6\nX0OHvqT33luv0lKLOnfuqmPHjurMmdMaNWrEv+dxUSdOnNCxY2lau/YdrVv3640dHR1/jVhHjhyR\ni4ubLl8uuGl/7hRhDgAAADCQ9euT1bx5S/XuHab9+7/Rnj1fSpJMJpNKS69/o/r77qsuPz8/zZgx\nW56envryy51yc3OvsFZKymaNGTNeLi4ueu21kfr+++9kMplksZSWq1u7dl1lZKTr8uXLcnNz04ED\n+1WvXv2y+fw3X19fnTjxs+rVq6/k5FWqVy9A9esHKDb2Dd1///06ePCAzp3LKXdOQECgQkKaKSTk\nSeXm/qKtWzdLkp56qpcSExN0/vx5vfZalM6fPy8/v1qaM2eRnJyctG3bVjVu/IB27fpcDg7/mUvP\nnr21bt1qnT+fp0aNGpcbq0GDRjp5Mku//HJOw4eP1Nq17+jLL3dqzpxFysw8ocDABpo1a55MJpM2\nbFinhg0bq379QPXrN0AtWjyk48cz9O23/5AkBQcHKzFxjoYM+aPatXvsmrGsgTAHAAAAGMjjj3dS\nUtKbSk3dLk9PTzk6OqqoqEjNmzfX9OkzFBgYpNat25Q7x8HBQaNGjdHYsaNksVjk7u6huLgpMplM\n163VsGEjRUYOkbu7u8xms5o1ay4PDw+tWbNSDzzwoLp1C5UkVa9eXRERw/TKK8NkMjnI37+ehg8f\nWbaL9t/Gjo3R9OlvyMHBQTVr1lTfvv1Vq9b9mjp1okpKSmQymTRuXFy5c154IUIzZsQrJeWDf18m\nOVSSVKdOXUm/Xhrp4OAgHx8fPfdcuEaOHKqSkhLVrl1HXbp0v2YOwcHNlZV1Qr17X//Sx9/97mGd\nOnVSDg4OatWqtTIyjsnNzU2NGz+gNm0e0UsvDVZR0VU1bRoss9msyMhRmjVrhoqKilRYeEWjRo0p\nq+Xi4qrXXx+vqVMnadmyVapWrdotdvnWVMpz5u4Uz5kDro/nzFVt9MO+0A/7Qj/sC/2wL/Tj1pSW\nlmrEiMGaPXu+PDw8b37CHaqM58w5/ObqAAAAAGAAJ09mKSJigLp2DbFpkKssXGYJAAAA4J5Qp05d\nrVr17t2ehtWwMwcAAAAABsTOHACre3lu1fkfLxjP/FH97/YUAACoFOzMAQAAAIABEeYAAAAAwIC4\nzBIAAAD4DVaOf9uq9SKm/8mq9azp6adDlZLyyd2eBv6NnTkAAAAAMCB25gAAAAADKS4uVmJigjIz\nT6i0tFRDhoyQt/d9eu21JM2evUiSFBU1Wn/603Dl5+dr2bJFcnR0VJ06dRUVNUHbt3+sjz5KUWlp\nqV588U/aunWzpk6dKUkaMSJC8fEz5etrliSVlJTozTenKT39mOrW9VdRUZEk6dixNM2fn6TS0lLl\n5eVpzJhxunz5slJSNlVYC9ZHmAMAAAAMZOvWzbrvvuoaP36izp/PU2TkUCUnb1RRUZFOnz4lJydn\n5eXlqXHjJurX73+1ePHb8vGpoeXLF2vbtq1ycnKSl5eXZsyYLYvForlz39KFCxeUk5Ot++6rXi58\n7dq1Q0VFRVq2bJVOnz6tzz9PlSSlpx/TyJGvqmHDRtq+/a/atm2roqImaM6cxAprwfoIcwAAAICB\nHD2apoMHv9UPPxySJJWUFCsvL09hYWH6618/krOzs3r06Km8vFydO5ejuLhxkqTCwkI98kg7+fvX\nU/36AZIkk8mkkJDf67PPPtHJk1l66qle5cY6ceJnNW0aLEm6//775edXS5Lk6+unVavelouLiwoK\nCuTh4XHTWrA+whwAAABgIAEBgfLz89MLL0SosPCKVq9eKW9vb/Xo0UPh4QPl4OCgpKQFcnV1k5+f\nn2bMmC1PT099+eVOubm568yZ0zKZ/nPrjD/84Wm98Uacrly5rOHDR5YbKzCwgVJTP5HUTzk52crO\nzpYkzZ2bqIkTpyowMEgrVizVqVMnb1oL1keYAwAAAAykV69nNXPmVI0cOVT5+ZfUu3cfOTg4yMPD\nQ40aPaCSkmK5u3tIkkaNGqOxY0fJYrHI3d1DcXFTdObM6XL1zGY/ubu7Kzi4hZycyseDjh07a9++\nvRoy5I+6//7aql69uiQpJOT3iouLlpeXt8xmP50/n3fTWrA+PmEAAADgN6jsRwlUq1ZNcXFvXPe1\n6OgJ5X5u27a92rZtX+5Yjx49rznPYrFc97JIk8mk11+Pvub4888P0PPPD7juHCqqBevj0QQAAADA\nPaqw8IoiIgYoICBI/v717KYWbg07cwAAAMA9ysXFVStXJttdLdwaduYAAAAAwIAIcwAAAABgQIQ5\nAAAAADAgwhwAAAAAGBBhDgAAAAAMyGZ3sywpKVFsbKzS09NlMpk0ZcoUubi4aNy4cTKZTGrcuLEm\nTZokBwfyJAAAAADcLpuFuR07dkiS1q9fr7179yopKUkWi0WjR49Wu3btNHHiRKWmpqp79+62mgIA\nAAAAVFk22xbr1q2b4uPjJUknT56Ut7e3Dh8+rLZt20qSOnXqpK+++spWwwMAAABAlWbTh4Y7OTkp\nOjpan376qebNm6fdu3fLZDJJkjw8PHTx4sUbnu/j4y4nJ0erzMVs9rJKHcAe2OL7zBpBVcH6qPro\nh32hH/aFftgXW/fDpmFOkmbOnKkxY8aob9++KiwsLDuen58vb2/vG56bm1tglTmYzV7Kzr5xcASM\nxNrfZ9YIqhLWR9VGP+wL/bAv9MO+WKsfNwqENrvMcvPmzVq6dKkkyc3NTSaTSc2bN9fevXslSbt2\n7VKbNm1sNTwAAAAAVGk225kLCQnR+PHjFR4eruLiYsXExKhhw4aKi4vT7Nmz1aBBA4WGhtpqeAAA\nAACo0mwW5tzd3TV37txrjicnJ9tqSAAAAAC4Z/CQNwAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAA\nAAAGRJgDAAAAAAMizAEAAACAARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAA\nDIgwBwAAAAAGRJgDAAAAAAMizAEAAACAARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQ\nYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACAARHmAAAAAMCACHMAAAAAYECEOQAAAAAwICdb\nFL169apiYmKUlZWloqIijRgxQrVr19awYcMUGBgoSerXr5969Ohhi+EBAAAAoMqzSZhLSUlR9erV\nlZiYqLy8PD3zzDOKjIzUoEGDFBERYYshAQAAAOCeYpMw9+STTyo0NFSSZLFY5OjoqEOHDik9PV2p\nqakKCAhQTEyMPD09bTE8AAAAAFR5NvmbOQ8PD3l6eurSpUt65ZVXNHr0aLVs2VJRUVFat26d6tWr\np4ULF9piaAAAAAC4J9hkZ06STp06pcjISPXv3189e/bUhQsX5O3tLUnq3r274uPjb1rDx8ddTk6O\nVpmP2exllTqAPbDF95k1gqqC9VH10Q/7Qj/sC/2wL7buh03CXE5OjiIiIjRx4kQ9+uijkqTBgwcr\nLi5OLVu21J49exQcHHzTOrm5BVaZj9nspezsi1apBdgDa3+fWSOoSlgfVRv9sC/0w77QD/tirX7c\nKBDaJMwtWbJEFy5c0KJFi7Ro0SJJ0rhx45SQkCBnZ2f5+vre0s4cAAAAAOD6bBLmYmNjFRsbe83x\n9evX22I4AAAAALjn8NBwAAAAADAgwhwAAAAAGBBhDgAAAAAMiDAHAAAAAAZEmAMAAAAAAyLMAQAA\nAIABEeYAAAAAwIAIcwAAAABgQIQ5AAAAADAgwhwAAAAAGBBhDgAAAAAMiDAHAAAAAAbkdLcnAADA\nvWTCe6/e7SngHjYtLOluTwGAFbEzBwAAAAAGRJgDAAAAAAMizAEAAACAARHmAAAAAMCACHMAAAAA\nYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACAAd12mLty5You\nXbpki7kAAAAAAG6R0+388l/+8hetXbtWFotF3bp106hRo2w1LwAAAADADdwwzP30009q3Lhx2c+p\nqalKSUmRJPXs2bPCMHf16lXFxMQoKytLRUVFGjFihBo1aqRx48bJZDKpcePGmjRpkhwcuMoTAAAA\nAO7EDcPchg0bVFRUpMjISNWqVUtNmzbV4MGD5ezsrEaNGlV4XkpKiqpXr67ExETl5eXpmWee0YMP\nPqjRo0erXbt2mjhxolJTU9W9e3ervyEAAAAAuBfcMMzFxsYqPT1diYmJqlOnjoYOHaqzZ8/q6tWr\natKkSYXnPfnkkwoNDZUkWSwWOTo66vDhw2rbtq0kqVOnTtq9ezdhDgAAAADu0E3/Zi4oKEhvvfWW\nvv32W40ZM0bt27dXeHj4Dc/x8PCQJF26dEmvvPKKRo8erZkzZ8pkMpW9fvHixZtOzsfHXU5Ojrfy\nPm7KbPaySh3AHtji+8waQVXB+gAqxvqo+uiHfbF1P24Y5tatW6d33nlHjo6Oeu2117RkyRJ9+umn\nGj58uHr16qWnn366wnNPnTqlyMhI9e/fXz179lRiYmLZa/n5+fL29r7p5HJzC27jrVTMbPZSdvbN\nwyNgFNb+PrNGUJWwPoCKsT6qNvphX6zVjxsFwhvegWT9+vX65JNPtGnTJi1dulSS1L17dy1btuyG\njyfIyclePMw6AAAIx0lEQVRRRESExo4dq7CwMElSs2bNtHfvXknSrl271KZNm9t+IwAAAACAX91w\nZ85sNmvatGkqLCxUUFBQ2XFHR0f179+/wvOWLFmiCxcuaNGiRVq0aJEkacKECZo6dapmz56tBg0a\nlP1NHQAAAADg9t0wzC1ZskRffPGFnJ2d9fjjj99y0djYWMXGxl5zPDk5+fZnCAAAAAC4xg3DXLVq\n1dS1a9fKmgsAAAAA4Bbx1G4AAAAAMCDCHAAAAAAYEGEOAAAAAAyIMAcAAAAABkSYAwAAAAADIswB\nAAAAgAER5gAAAADAgAhzAAAAAGBAhDkAAAAAMCDCHAAAAAAYEGEOAAAAAAyIMAcAAAAABkSYAwAA\nAAADIswBAAAAgAER5gAAAADAgAhzAAAAAGBAhDkAAAAAMCDCHAAAAAAYEGEOAAAAAAyIMAcAAAAA\nBkSYAwAAAAADIswBAAAAgAER5gAAAADAgAhzAAAAAGBAhDkAAAAAMCCbhrnvvvtOAwcOlCT98MMP\n6tixowYOHKiBAwdq27ZtthwaAAAAAKo0J1sVXr58uVJSUuTm5iZJOnz4sAYNGqSIiAhbDQkAAAAA\n9wyb7czVr19f8+fPL/v50KFD+vzzzxUeHq6YmBhdunTJVkMDAAAAQJVns5250NBQZWZmlv3csmVL\n9enTR82bN9fixYu1cOFCRUdH37CGj4+7nJwcrTIfs9nLKnUAe2CL7zNrBFUF6wOoGOuj6qMf9sXW\n/bBZmPtv3bt3l7e3d9m/4+Pjb3pObm6BVcY2m72UnX3RKrUAe2Dt7zNrBFUJ6wOoGOujaqMf9sVa\n/bhRIKy0u1kOHjxYBw8elCTt2bNHwcHBlTU0AAAAAFQ5lbYzN3nyZMXHx8vZ2Vm+vr63tDMHAAAA\nALg+m4Y5f39/bdy4UZIUHBys9evX23I4AAAAALhn8NBwAAAAADAgwhwAAAAAGBBhDgAAAAAMiDAH\nAAAAAAZEmAMAAAAAAyLMAQAAAIABEeYAAAAAwIAIcwAAAABgQIQ5AAAAADAgwhwAAAAAGBBhDgAA\nAAAMiDAHAAAAAAZEmAMAAAAAAyLMAQAAAIABEeYAAAAAwIAIcwAAAABgQIQ5AAAAADAgwhwAAAAA\nGBBhDgAAAAAMiDAHAAAAAAZEmAMAAAAAAyLMAQAAAIABEeYAAAAAwIAIcwAAAABgQIQ5AAAAADAg\nwhwAAAAAGJBNw9x3332ngQMHSpKOHz+ufv36qX///po0aZJKS0ttOTQAAAAAVGk2C3PLly9XbGys\nCgsLJUnTp0/X6NGj9e6778pisSg1NdVWQwMAAABAlWezMFe/fn3Nnz+/7OfDhw+rbdu2kqROnTrp\nq6++stXQAAAAAFDlOdmqcGhoqDIzM8t+tlgsMplMkiQPDw9dvHjxpjV8fNzl5ORolfmYzV5WqQPY\nA1t8n1kjqCpYH0DFWB9VH/2wL7buh83C3H9zcPjPJmB+fr68vb1vek5uboFVxjabvZSdffPwCBiF\ntb/PrBFUJawPoGKsj6qNftgXa/XjRoGw0u5m2axZM+3du1eStGvXLrVp06ayhgYAAACAKqfSwlx0\ndLTmz5+v5557TlevXlVoaGhlDQ0AAAAAVY5NL7P09/fXxo0bJUlBQUFKTk625XAAAAAAcM/goeEA\nAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACAARHmAAAA\nAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACA\nARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMi\nzAEAAACAATnd7QkAAAAAkrRy/Nt3ewq4h0VM/9PdnsJtY2cOAAAAAAyo0nfmevfuLU9PT0mSv7+/\npk+fXtlTAAAAAADDq9QwV1hYKIvForVr11bmsAAAAABQ5VTqZZb/+te/dPnyZUVEROiFF17QgQMH\nKnN4AAAAAKgyKnVnztXVVYMHD1afPn2UkZGhIUOG6K9//aucnLgPCwAAAADcjkpNUUFBQQoICJDJ\nZFJQUJCqV6+u7Oxs1a5d+7q/7+PjLicnR6uMbTZ7WaUOYA9s8X1mjaCqYH0AFWN9ABUz4vqo1DD3\n3nvv6ccff9TkyZN15swZXbp0SWazucLfz80tsMq4ZrOXsrMvWqUWYA+s/X1mjaAqYX0AFWN9ABWz\n1/Vxo0BYqWEuLCxM48ePV79+/WQymZSQkMAllgAAAABwByo1SVWrVk2zZs2qzCEBAAAAoErioeEA\nAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACAARHmAAAA\nAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMizAEAAACA\nARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAMi\nzAEAAACAARHmAAAAAMCACHMAAAAAYECEOQAAAAAwIKfKHKy0tFSTJ0/WkSNHVK1aNU2dOlUBAQGV\nOQUAAAAAqBIqdWfus88+U1FRkTZs2KDXX39dM2bMqMzhAQAAAKDKqNQw949//EMdO3aUJLVq1UqH\nDh2qzOEBAAAAoMowWSwWS2UNNmHCBIWEhKhz586SpCeeeEKfffaZnJwq9WpPAAAAADC8St2Z8/T0\nVH5+ftnPpaWlBDkAAAAAuAOVGuZat26tXbt2SZIOHDigBx54oDKHBwAAAIAqo1Ivs/y/u1n++OOP\nslgsSkhIUMOGDStreAAAAACoMio1zAEAAAAArIOHhgMAAACAARHmAAAAAMCACHMAAAAAYECEOQAA\nAAAwIMIcAAAAABgQYQ4AAAAADIgwBwAAAAAGRJgDAAAAAAP6f0MDQNMtQr/EAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107f3de80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "~62% of users go to Freesound at least a couple of times a month. ~22% use it every week or every day.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### When I search in Freesound..."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3YAAAEuCAYAAADC74A+AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x108547ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "In general users show good statisfaction on finding the sounds they look for and are happy about their quality. However, users are more storngly convinced that the sounds they find are useful. This suggests that maybe when searching for some sounds you come across other unexpected sounds which are also relevant and useful.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Kinds of projects where Freesound content is used in"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEjCAYAAACYWFikAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x103d32780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Sound design and audio post-production are the biggest usages. Music is below but still a ~28%. In fact, besides the first two usages, all the others seem to be quite equally distributed meaning the hetereogenity that we find in the kinds of content is also found in their usage.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Kinds of sounds users are interested in"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEjCAYAAACYWFikAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1086cb668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "First 5 sound types are non-music related, the other 4 are. This seems to be well aligned with the results shown in the previous plot."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "md('## Use of Freesound', br=False)\n",
    "\n",
    "# Uploaders vs downloaders\n",
    "md('### Uploaders vs downloaders', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('I use Freesound...'))\n",
    "total = len(serie)\n",
    "expanded_serie = list()\n",
    "for element in serie:\n",
    "    expanded_serie += [item.lower() for item in element.split(';')]\n",
    "\n",
    "for count, (label, freq) in enumerate(Counter(expanded_serie).most_common()):\n",
    "    percentage = 100 * freq / total\n",
    "    if percentage > 1:  # Remove unfrequent responses\n",
    "        plt.bar(count, percentage, label=label)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('Vritually all users of Freesound use it to download sounds. However, there is ~25% of users who use it to enjoy listening to sounds onsite (therefore use it as an end per se, not as a tool). Also ~20% of users who answered the survey do upload sounds. We know that this number is biased and the reality is that less than 1% if registered users do actually upload sounds. However this is to be expected as people that feel closer to the community (and potentially upload sounds) will probably feel more inclined to answer the survey.')\n",
    "md('**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.')\n",
    "\n",
    "\n",
    "# Frequency of usage of Freesound\n",
    "md('### Frequency of usage of Freesound', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('I normally use Freesound...'))\n",
    "total = len(serie)\n",
    "for count, (label, freq) in enumerate(Counter(serie).most_common()):\n",
    "    plt.bar(count, 100 * freq / total, label=label)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('~62% of users go to Freesound at least a couple of times a month. ~22% use it every week or every day.')\n",
    "\n",
    "\n",
    "# When I search in freesound...\n",
    "serie1 = data_for_field(\"When I search in Freesound, I always find the sounds I'm searching for\")\n",
    "serie2 = data_for_field(\"When I search in Freesound, I always find useful sounds\")\n",
    "serie3 = data_for_field(\"The sounds I find in Freesound are of good quality\")\n",
    "plt.figure(figsize=(15, 5))\n",
    "\n",
    "md('### When I search in Freesound...', br=False)\n",
    "plt.boxplot([remove_none(serie1), remove_none(serie2), remove_none(serie3)])\n",
    "plt.ylabel('score')\n",
    "plt.xticks([1, 2, 3], ['...I always find the sounds I\\'m searching for','...I always find useful sounds', 'The sounds I find in Freesound are of good quality'])\n",
    "plt.show()\n",
    "md('In general users show good statisfaction on finding the sounds they look for and are happy about their quality. However, users are more storngly convinced that the sounds they find are useful. This suggests that maybe when searching for some sounds you come across other unexpected sounds which are also relevant and useful.')\n",
    "\n",
    "\n",
    "# In which kinds of projects Freesound content is used in\n",
    "md('### Kinds of projects where Freesound content is used in', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('The Freesound sounds I download, I use them... '))\n",
    "total = len(serie)\n",
    "expanded_serie = list()\n",
    "for element in serie:\n",
    "    expanded_serie += [item.lower() for item in element.split(';')]\n",
    "\n",
    "for count, (label, freq) in enumerate(Counter(expanded_serie).most_common()):\n",
    "    percentage = 100 * freq / total\n",
    "    if percentage > 1:  # Remove unfrequent responses\n",
    "        plt.bar(count, percentage, label=label)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('Sound design and audio post-production are the biggest usages. Music is below but still a ~28%. In fact, besides the first two usages, all the others seem to be quite equally distributed meaning the hetereogenity that we find in the kinds of content is also found in their usage.')\n",
    "md('**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.')\n",
    "\n",
    "\n",
    "md('### Kinds of sounds users are interested in', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('In particular, I\\'m interested in finding the following kinds of sounds:'))\n",
    "total = len(serie)\n",
    "expanded_serie = list()\n",
    "for element in serie:\n",
    "    expanded_serie += [item.lower() for item in element.split(';')]\n",
    "\n",
    "for count, (label, freq) in enumerate(Counter(expanded_serie).most_common()):\n",
    "    percentage = 100 * freq / total\n",
    "    if percentage > 1:  # Remove unfrequent responses\n",
    "        plt.bar(count, percentage, label=label)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('First 5 sound types are non-music related, the other 4 are. This seems to be well aligned with the results shown in the previous plot.', br=False)\n",
    "md('**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## About Freesound and Creative Commons Licenses"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3YAAAFNCAYAAABMj/3KAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n8pxTDTtFURRFURRFUZTn3P8DaesEyGT2bx4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1081eadd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3YAAAFDCAYAAAB2hZy6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nmrcJWjATswAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x108150e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Users are generally aware of Creative Commons licenses, licenses are important to them and are taken into account when downloading. However, users don't seem to be much concerned about ilegal usage of the sounds (people not respecting licenses both at upload and download time). According to (C), there is a tendency of users who would like to be able to use more licenses than those currently offered, but this does not seem to be a very generalized or strong claim.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "md('## About Freesound and Creative Commons Licenses', br=False)\n",
    "\n",
    "fields = [\"Sounds' licenses are important to me\",\n",
    "\"I understand how Creative Commons licenses work\",\n",
    "\"I'd like Freesound to support Creative Commons licenses other than CC0, CC-BY and CC-BY-NC\",\n",
    "\"I sometimes found Creative Commons licenses to be a limitation for reusing Freesound sounds\"]\n",
    "\n",
    "series = list()\n",
    "for field in fields:\n",
    "    series.append(remove_none(data_for_field(field)))\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.ylabel('score')\n",
    "plt.boxplot(series)\n",
    "plt.xticks(range(1, len(fields) + 1), [\n",
    "\"(A)\\nSounds' licenses are important to me\",\n",
    "\"(B)\\nI understand how Creative Commons\\n licenses work\",\n",
    "\"(C)\\nI'd like Freesound to support Creative\\n Commons licenses other than CC0,\\n CC-BY and CC-BY-NC\",\n",
    "\"(D)\\nI sometimes found Creative Commons\\n licenses to be a limitation for reusing\\n Freesound sounds\"])\n",
    "plt.show()\n",
    "\n",
    "fields = [\"I take into account sound licenses when I search for sounds and/or download them\",\n",
    "\"I'm concerned about users not respecting Creative Commons license terms when using my sounds\",\n",
    "\"I'm concerned about users uploading illegal content to Freesound\"]\n",
    "\n",
    "series = list()\n",
    "for field in fields:\n",
    "    series.append(remove_none(data_for_field(field)))\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.ylabel('score')\n",
    "plt.boxplot(series)\n",
    "plt.xticks(range(1, len(fields) + 1), [\n",
    "\"(E)\\nI take into account sound licenses when I search\\n for sounds and/or download them\",\n",
    "\"(F)\\nI'm concerned about users not respecting Creative\\n Commons license terms when using my sounds\",\n",
    "\"(G)\\nI'm concerned about users uploading illegal\\n content to Freesound\"])\n",
    "plt.show()\n",
    "md('Users are generally aware of Creative Commons licenses, licenses are important to them and are taken into account when downloading. However, users don\\'t seem to be much concerned about ilegal usage of the sounds (people not respecting licenses both at upload and download time). According to (C), there is a tendency of users who would like to be able to use more licenses than those currently offered, but this does not seem to be a very generalized or strong claim.')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "## About Freesound platform"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Things users like the most about Freesound"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEjCAYAAACYWFikAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10815ac88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "As expected, what people like the most is that sounds are free and the diversity of Freesound. "
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "## Other sites similar to Freesound"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA24AAAIzCAYAAAB4Nkr6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107baeb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "In general there does not seem to be a main \"competitor\" or platform which is considered to be similar to Freesound. Interestingly, many responses explicitely say that there are no similar sites."
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Percentage of Freesound content used in projects"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEjCAYAAACYWFikAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1089d9828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "Sounds in Freesound are typically used in combination with sounds comming from other libraries.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "### Other sources of sounds used in combination with Freesound"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEjCAYAAACYWFikAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ndQZ+8AjFjXsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107eab438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.<br><br>"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "md('## About Freesound platform', br=False)\n",
    "\n",
    "# This people like about Freesound\n",
    "md('### Things users like the most about Freesound', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('What are the things you like the most about Freesound?'))\n",
    "total = len(serie)\n",
    "expanded_serie = list()\n",
    "for element in serie:\n",
    "    expanded_serie += [item.lower() for item in element.split(';')]\n",
    "\n",
    "for count, (label, freq) in enumerate(Counter(expanded_serie).most_common()):\n",
    "    percentage = 100 * freq / total\n",
    "    if percentage > 1:  # Remove unfrequent responses\n",
    "        plt.bar(count, percentage, label=label)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('As expected, what people like the most is that sounds are free and the diversity of Freesound. ', br=False)\n",
    "md('**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.')\n",
    "\n",
    "\n",
    "# Similar sites\n",
    "md('## Other sites similar to Freesound', br=False)\n",
    "plt.figure(figsize=(15, 10))\n",
    "serie = remove_none(data_for_field('I find Freesound to be similar to other sites such as...'))\n",
    "total = len(serie)\n",
    "expanded_serie = list()\n",
    "for element in serie:\n",
    "    expanded_serie += [item.lower() for item in element.split(',')]\n",
    "\n",
    "for count, (label, freq) in enumerate(Counter(expanded_serie).most_common()):\n",
    "    percentage = 100 * freq / total\n",
    "    if percentage > 0.5:  # Remove unfrequent responses\n",
    "        plt.bar(count, percentage, label=label)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('In general there does not seem to be a main \"competitor\" or platform which is considered to be similar to Freesound. Interestingly, many responses explicitely say that there are no similar sites.', br=False)\n",
    "\n",
    "\n",
    "# Percentage of Freesound content\n",
    "md('### Percentage of Freesound content used in projects', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('Among all the sounds I use in my audio projects, sounds coming from Freesound typically represent...'))\n",
    "total = len(serie)\n",
    "options = ['None of the sounds come from Freesound'] + ['~{0}0% of the total'.format(i) for i in range(1, 10)] + ['All of the sounds come from Freesound']\n",
    "\n",
    "for count, option in enumerate(options):\n",
    "    freq = serie.count(option)\n",
    "    plt.bar(count, 100 * freq / total, label=option)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('Sounds in Freesound are typically used in combination with sounds comming from other libraries.')\n",
    "\n",
    "# Other sources of sounds\n",
    "md('### Other sources of sounds used in combination with Freesound', br=False)\n",
    "plt.figure(figsize=(15, 5))\n",
    "serie = remove_none(data_for_field('When I use Freesound in combination with other sound libraries, I do it with...'))\n",
    "total = len(serie)\n",
    "expanded_serie = list()\n",
    "for element in serie:\n",
    "    expanded_serie += [item.lower() for item in element.split(';')]\n",
    "\n",
    "for count, (label, freq) in enumerate(Counter(expanded_serie).most_common()):\n",
    "    percentage = 100 * freq / total\n",
    "    if percentage > 1:  # Remove unfrequent responses\n",
    "        plt.bar(count, percentage, label=label)\n",
    "\n",
    "plt.legend()\n",
    "plt.ylabel('%')\n",
    "plt.tick_params(axis='x', which='both', bottom='off', top='off', labelbottom='off')\n",
    "plt.show()\n",
    "md('**NOTE**: multiple responses where accepted per participant, percentage is computed over total number of participants in the survey.')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}