Histogram_Pearson_P1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Histogram Creator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook is designed to handle both histogram creation for each of the featues for Android and IOS. The sequence of cells will outline what each steps is for and which cells are optional. The current cell below handles all the imports as well as initial files to be used. The second cell beneath establishes csv and os we are looking at currently. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv = 'Phase1_feats_and.csv'    #Specify the csv being used\n",
    "df = pd.read_csv(csv)        #Reads csv into panda dataframe\n",
    "\n",
    "#Conditional statement to use for the for loop to deptermine what os to use for the names. \n",
    "if csv.find('iOS') != -1 or csv.find('ios') != -1:\n",
    "    os = 'ios'\n",
    "else:\n",
    "    os = 'and'\n",
    "\n",
    "#Seperates depressed and not depressed users to two seperate dataframes. \n",
    "dep = df.loc[df['Depressed'] == 1] #depressed dataframe\n",
    "non_dep = df.loc[df['Depressed'] == -1] #Non depressed dataframe\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cell below creates a list of all the headers in the csv and removes all the ones that are not needed to create the histogram. This list will be used for the for loop to create a graph for each feature. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Location variance', 'Average moving speed', 'Entropy', 'Normalized entropy', 'Time spent at home', 'Time spent in moving', 'Total distance', 'Number of unique locations']\n"
     ]
    }
   ],
   "source": [
    "Headers = list(df.columns) #Creates list of headers \n",
    "remove_head = ['Total Score', 'Depressed', 'Userid','timestamp'] #Creates list uncecessary headers for Histogram Creation. \n",
    "Headers = [i for i in Headers if i not in remove_head]     #Removes undeeded headers\n",
    "print(Headers)    #Print statement to verify the features"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The for loop below handles the bulk of graphing by doing the following:\n",
    "\n",
    "Creating a min and max to use for the ticks of the x axis. \n",
    "Creating the values in between the min and max to use for the range.\n",
    "\n",
    "Creating bars of histogram\n",
    "Establishing the graphs x and y ticks plus labels (Include legnend as well)\n",
    "Save image to local directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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m/TXGJUmSFiHtNPM0pCxn9NBmelku15sDRsQ7gG8BUyg+ZVdJuazB5IiY/Oyzz1bdXZIktaF2Ck9Rlk05rdbpdN2SwKGZObvqMTLz/MwcnZmjhw4d2oxhSZKkFtdO4enlshzSQ5uObS/30KbDscC2wLcy886+DEySJC062umap0fLcu0e2qzZ0LYne5TlThGxXcO2dTraRMRIYHpmfrQXx5QkSQPcAglPEbES8DngA2UfdwCnZeZDfTjsbWW5UUQs3c0n7jZvaNsbW/aw7e3lY1qF40mSpAGs8mm7iNg0Ip6MiKkRsVUX24dSLBnwRWA7YGuKVcFvj4ht6w40Mx8HbqW4RmmvLvrdDhhOsfr4hF4cb/vMjK4ewFfLZmeXdSvWHbckSRpY6lzz9BGKhShnZeYtXWz/HrAexQXenR/LApdFRE/XLM3Pt8ryOxHxzo7KiBgGnFM+/XZmzum07eiIuC8ivOWKJEnqszrhaQeKT7yNa9wQEasA+5fb76K4ee+qwCllk7cBB9cZKEBmXgGcSxHe7oqIX0fEVcCDwAjgGt66QviqwAbAWnX7lSRJ6lAnPA0vyzu62PZR5l1H9anMvDUzX8jMrwMds1Qfq9HnXJl5JHAAxSm87YAxwD8oFrvcs86SA5IkSb1V54LxVcvymS62dXxq7aHMnNyw7VpgK2BkjT7fJDMvBS7tZdtTgVMrHr/yPpIkadFQZ+ap45qlrmZ4tqI4ZfeXLrZNLcuVa/QpSZLUEuqEp44FKFfvXBkRqwPvKp92dSF5R9iKLrZJkiS1hTrh6cGy3LGh/hOdvr6pi/3eVpYv1OhTkiSpJdQJT3+imD36WEQcFRFLR8SmwMkUp+zuy8yHu9hvk7L8R72hSpIk9b864em/gVcoAtQZFKfxJlEsHwBwWjf7jaEIV/9bo09JkqSWUDk8ZeYTwIHAaxQBajHmXcd0ZWb+qHGfiPggxW1OAP5cb6iSJEn9r9a97TLz6ogYAXwSeCfFTNQfM/OabnbZHvgbMAe4sU6fkiRJraD2jYEz8zHgm71sewrzVhmXJElqW3WueZIkSVpkGZ4kSZIqqH3aDiAilgM+BewMbAisBCyRmcs2tNsGGAo8n5nX96VPSZKk/lQ7PEXE3sB5wPIdVWWZXTTfDPgB8EpEvD0zX6rbryRJUn+qddouIg4Gfg6sQBGaXgAe6WGXC4E3gKWBj9XpU5IkqRVUDk8RMRw4hyI0PQnsmplDgeO726ecaRpfPm28rYskSVLbqDPzdAwwmGJtpx0y83e93O9vFIFrk/k1lCRJalV1wtPOFNc1XZyZD1TYr+N+d2vX6FOSJKkl1AlP65TlzRX3m16Wy9XoU5IkqSXUCU+Dy/LVivsNqbmfJElSy6gTnp4ryzUq7veesvxXjT4lSZJaQp3wdDvFhd+79HaHiFgc2IviWqn/rdGnJElSS6gTnn5dljtFxPa93OdrwJrl11fX6FOSJKkl1AlPPwEep5h9ujoiPt5dw4gYFhE/Ak6kmHW6KzOvrTNQSZKkVlD59iyZ+UZE7Av8meLWLL+MiMfodC1TRJwNbARsWfYRwMvAfs0YtCRJUn+pdXuWzJwAfJgiMAXF8gXvY9597Q4HtgGWYN5K5Dtm5r19HK8kSVK/qhWeADLzemAE8CXgPoqQ1Ph4GDgFGJGZk/s8WkmSpH5W+bRdZ5k5Dfgv4L8iYlWK1cNXoFgQc2pmTu37ECVJklpHn8JTZ5n5HPPWgJIkSRqQap+2kyRJWhQZniRJkiro9rRdRGyxoDrNzIkL6tiSJEkLUk/XPP0v85YeaKacT7+SJEkta34hJhbKKCRJktpET+HpOwttFJIkSW2i2/CUmScvzIFIkiS1Az9tJ0mSVIHhSZIkqQLDkyRJUgV9XjIgIrYB9gA2B94ODKG4t92TwCTgqsy8qa/9SJIktYLa4SkiRgIXAKMbNwGrAusAWwH/ERETgU9n5j11+5MkSWoFtU7bRcSOFItojqYISx2P14Hny7Jz/fuAv0XEDk0YsyRJUr+pHJ4iYnXgCmAZimB0K3AQMDwzl8nMoZm5DDC8rJ9S7roMcEVErNaUkUuSJPWDOjNPXwBWoLjNyunA5pl5cWY+2blRZj6ZmRcDWwCnldUrlPtLkiS1pTrhaVeK4DQ5Mz+XmT3e/y4Lx1NcPB7AR2v0KUmS1BLqhKe1yvLSivtdUpZr1uhTkiSpJdQJTzPK8skeW73VU2X5So0+JUmSWkKd8PRAWVadQRresL8kSVLbqROeLqO4dumTEdGr/ct2B1FcK1X1dJ8kSVLLqBOe/pvi4u9RwHkR0eNCmxExqNxnE2AicF6NPiVJklpC5fCUmTOBjwC/Aw4F7oqIIyJig44gFRGLl8+PAO4EPgX8Ftg1M2c1b/iSJEkLV+Xbs0RE5wu+A9gAOKvT9lkNx42y3AF4IiLoRmbmslXHI0mStDDVubfd4C7qOieiJSrs11mP60VJkiS1gjrhaSIGHUmStIiqHJ4y8/0LYiCSJEntoM6n7SRJkhZZhidJkqQKDE+SJEkVGJ4kSZIqqPNpOwAiYgXgQGAMMAJYifkvRwCu5yRJktpYrfAUEbsAPwVW7aiqsLvLHEiSpLZVZ4XxjYFry307QtNTwNPA680bmiRJUuupM/P0JYpVxBO4BDglMx9u6qgkSZJaVJ3wtC1FcBqXmQc2eTySJEktrc6n7ZYvy180cyCSJEntoE54mlqWM5o5EEmSpHZQJzzdUpYbNXMgkiRJ7aBOeDoNmAMcGhFDmjweSZKkllY5PGXmbcDngTWAX0fEsKaPSpIkqUXVWiQzM8+IiOeBs4CHIuIqYCLwPMWs1Pz292JzSZLUlmrfngWYDTwHvAP4ZPnojcRP6kmSpDZV9/YsZwOHd65qznAkSZJaW53bs+wNHNGp6gbgZrw9izRfnznnhf4egpqov97PHx25cr/0K6lQZ+bpmLJ8BdgtM//SxPFIkiS1tDpLFYyguG7pHIOTJEla1NSZeRpUlpObORBJUu9sMnbfhd7nHV+4bKH3KbWqOjNPj5XlMs0ciCRJUjuoE56uovh03QebPBZJkqSWVyc8nQk8DuwXEVs3eTySJEktrc7tWV4APgpMBX4XEcdExNJNH5kkSVILqrPO02/LL58B1qa4UfB3IuIeend7lszMXav2K0mS1ArqfNpuF4qlCuhUDgY2bcqIJEmSWljde9t1dTuW3t6iJeffRJIkqTXVuWB86T4++rzEQUTsHxE3RsS0iJgeEZMj4qiIqPR6IuKAiPhZRNwVEc9GxMyI+L+IuCkijo6IJfo6VkmSNLBUnnnKzH69f115U+IjgdeAPwMzgR2Bs4AdI2KvzJzdy8MdAWwJ/B2YBEwD3l7WbQ0cEBEfyswZzX0VkiSpXdU9bdcvImJPiuD0L2DbzHywrH8b8FdgD+Bo4PReHvJ44IHMfLGhn+HAH4H3A/8JnNKUFyBJktpendN2/enksjyxIzgBZObTFLNIACf19vRdZk5sDE5l/RPAf5VPd+rDeCVJ0gDTNuGpnA3aDHgD+GXj9sy8nmLtqdUoZoz6alZZvtaEY0mSpAGiz6ftImJVYHNgOLA8824c3K3M/G6Nrt5blvdk5qvdtJkErFG2vaVGH8Dc13RC+fTXdY8jSZIGntrhKSI2Br4FjKH3yxR0qBOe1i3Lx3po88+Gtr0SER8D9qQIfqtTXCw+GPgJxYXokiRJQM3wFBG7Upw6W4r5B6dsaFN3nachZdnTJ9+ml+VyFY+9CfDvDXWnA6dk5syKx5IkSQNY5WueImIocCnFzMzrFLNIu5ebE/gq8Ang88C4TvUXAR8GPlJzrB0BrOmLbGbmNzIzKMLgu4AvAZ8C7oiIEd0OKOKwco2pyc8++2yzhyVJklpQnQvGj6SY2Ulg98w8KTN/1Wn7bZl5VWb+MDN3AT4APAkcCGyUmX+oOdaXy3JID206tr3cQ5tuZeYbmflgZn4TOJji3n0XRUSXs2uZeX5mjs7M0UOHDq3TpSRJajN1wtPOZXlDZo7rsSWQmRPKfd4Avh0Rde+B92hZrt1DmzUb2vbFVcBLFJ/wW6cJx5MkSQNAnfD0LopZp+5mkN5yS5PMvBe4hOIaq8/W6BPgtrLcKCKW7qbN5g1ta8vMBJ4vnw7r6/EkSdLAUCc8rVCW/2yof6Msl+1mvxvLcvsafZKZjwO3AksCezVuj4jtKJZL+BcwoU4fDcdbl2LGaQ7wcF+PJ0mSBoY64alj0chZDfUvleWadK2j/dtr9NnhW2X5nYh4Z0dlRAwDzimffjsz53TadnRE3BcRF3U+UESMiIjDI+Itn8yLiJEUnyYM4OrM9GpwSZIE1Fuq4J/AhkDjFdL/AFah+9W9R9bo600y84qIOJfiVix3RcSfmHdj4OWBa3jrukyrAhtQzEh1Ngw4F/h+REyhWJ18KYrZplEUwWki9U8zSpKkAajOzNMdZblRQ/3NFIFjTES8aVtErAEcTnGt1IP0QWYeCRxAcQpvO4pFOv9BcUPgPTNzdi8PdQ/FkgQ3AmsBuwG7Am8DfkfxabutMvP57g4gSZIWPXVmnsYD+wE7NNT/FDieYpXuGyLiLOAh4B0UM0UrUISnK+oOtkNmXkqx1lRv2p4KnNpF/bPAN/s6FkmStGipM/N0LcVF1OtHxBYdlZl5N3AmxezTihSzOj8uy1XKZvcBp/VlwJIkSf2p8sxTZj4TEe+h+NTbkw2bP0exQOUXKK4f6uy3wKGZ+UqdgS6KPnPOCwu9zx8dufJC71OSpHZS69525bpNXdUn8OWI+C7FyuJvA14BJmemH/eXJEltr1Z4mp/MfJniomtJkqQBpc41T5IkSYusBTLzBFAuYrlV2ccdmTllQfUlSZK0sFQOTxExlOLCcIBLy0/ZNbY5jWLdpehUNw7YJzNfamwvSZLULuqctvsocBJwLG+9vx0RcWS5bTGK8NTx2Bm4rPZIJUmSWkCd8LRLWY5vnEWKiEEU6zpBcduUsyiWLbiDeauPj6k5VkmSpH5XJzxtSLFS+P92sW17YLVy+1GZeWxm/gDYBniqbLN/jT4lSZJaQp3wtGpZPtLFth3LcjrF7VoAyMzpFLdTCWCLLvaTJElqC3XCU8etVrpaKfwDFLNOf8nMmQ3b7ivLNWr0KUmS1BLqhKeOULR858qIWBIYXT69qYv9XizLwTX6lCRJagl1wtPUstykof5DzAtGt3Sx3wplOaNGn5IkSS2hTniaSHHt0oERsTZARCzGvLWfXgImdbHfhmX5eI0+JUmSWkKd8PSTslwZmBQRPwcmU1wsnsAlmTmri/06roe6vUafkiRJLaFyeMrMPwMXU8w+rQrszbxTeM8AX2/cJyLWZN6n7P5Sa6SSJEktoO6NgQ8BTgYeophNeg34FbBNZj7dRfsjmXerlj/X7FOSJKnf1boxcGbOBr4DfCciIjNzPrucS3G6b05mes2TJElqW7XCU2e9CE5k5lvugSdJktSO6p62kyRJWiQZniRJkiowPEmSJFVgeJIkSarA8CRJklSB4UmSJKkCw5MkSVIFhidJkqQKul0kMyJ2Lr+8NTOfW0jjkSRJamk9zTz9HvgdsFXnyog4p3y8Z4GOTJIkqQXVuT3L4RQ3A/49cFdzhyNJktTaepp5ml2WSy6MgUiSJLWDnsLT/5Xl+gtjIJIkSe2gp9N2dwA7AsdExN3A7cDrnbavGBHD6nSamc/U2U+SJKm/9RSeLqIIT28DrmnYFsCPa/aZ8+lXkiSpZXV72i4zfwb8lCIodX50aKyv8pAkSWpLPc4AZeYhEXE+8BFgTWApYB+K2aObgakLfISSJEktZL6nzzJzAjCh43lE7FN+OTYzf7WgBiZJktSKvD2LJElSBXUu3N6wLJ9o5kAkSZLaQeXwlJn3L4iBSJIktYOmLBkQEcsDmwOrA8sBLwNPApMz86Vm9CFJktQK+hSeImIH4CRgB7pegiAj4k/AdzLzr33pS5IkqRXUvmA8Ik4D/kixkOZidL2e02LATsCfIuKHfR6tJElSP6s18xQR3wWO7VT1OPAn4AFgOjCE4p54HwLWKtscGxFvZOaJ9YcrSZLUvyqHp4jYGDieYqHMl4CjgUszM7tpvz9wJh1FuQcAACAASURBVLAScHxEXJyZd9UfsiRJUv+pc9rusHK/mcBOmXlJd8EJIDMvBXYu2y8GHF5noJIkSa2gTnjagWLW6eLMnNybHTJzCvAziuugPlijT0mSpJZQJzytUZY3VNyvo/0aPbaSJElqYXXCU8d1UjMr7tfRvilrS0mSJPWHOuHp6bIcVXG/TRr2lyRJajt1wtMEimuXDo2IVXuzQ9nuUxTXSk2o0ackSVJLqBOeLinLlSkWv3xnT40jYj1gHLBKWXVxjT4lSZJaQp0bA/82Iv4AjAHeA9wVEddSBKQHgBnAshSLZO4E7A4sRTHr9IfM/F2Txi5JkrTQ1b14e2+KFcU3pwhGe5WPrnTc824isE/N/iRJklpCrXvbZebLwNbAV4EX6Pq+dh2P54FTgA+U+0mSJLWt2ssGZOYs4KsR8R1gO2ALYHVgOeBl4CmK2abrM/O1JoxVkiSp3/V5zaUyGP2hfEiSJA1otU7bSZIkLaoMT5IkSRUYniRJkiowPEmSJFVgeJIkSarA8CRJklSB4UmSJKkCw5MkSVIFhidJkqQKDE+SJEkVGJ4kSZIqMDxJkiRV0KcbA0fESGAMMAJYCRjci90yM3ftS7+SJEn9pVZ4iog1gAuAnZo7HEmSpNZWOTxFxPLAeGA9IGr0mTX2kSRJagl1Zp5OAN5BEYKeAL4D/AWYCrzevKFJkiS1njrh6d/KciqwWWY+28TxSJIktbQ6n7Zbj2LW6RyDkyRJWtTUCU8zy/IfzRyIJElSO6gTnh4uy5WaORBJkqR2UCc8/YLiU3YuUyBJkhY5dcLT2cCDwMcjYscmj0eSJKmlVQ5PmTkd+CjwCPCriDg+IpZp+sgkSZJaUJ1FMn9bfvk8xXpP3wO+GRH3AM8Bc+ZzCG/PIkmS2laddZ52Yd4q4R3lUsB7mzKiXoiI/YEjgI2BQcB9wI+BczNzfuGt4xiLAe8HPgJsB6wLDAP+D5gCnJ+Z1zR/9JIkqZ3VvTFwV7dl6e2tWvp0e5aIOBs4EngN+DPF0gk7AmcBO0bEXpk5uxeHWg+4ufz6BWAycFNZ/2HgwxHxE+DQzPSWMpIkCagXnpZu+ih6KSL2pAhO/wK2zcwHy/q3AX8F9gCOBk7vxeGS4rYy3wP+2DlwRcR2wHXAwcANFLNakiRJtS4Yf72vjz6M9+SyPLEjOJVjepriNB7ASeUpufm9jocyc8fM/H3jTFVmXg98u3z6yT6MV5IkDTB1liroFxExHNgMeAP4ZeP2MvBMBVajuJapr24ry+FNOJYkSRog2iY8Me+C9Hsy89Vu2kxqaNsX65flU004liRJGiDqXjD+JhExEngfsDqwHPAy8CQwMTPvbkYfFJ+GA3ishzb/bGhbS7lu1bHl0yv7cixJkjSw9Ck8RcQhwInMm6Xpqs2DwLcz8yd96QsYUpYzemgzvSyX62Nf51AEsL8D53fXKCIOAw4DWGuttfrYpSRJage1TttFxJIRcQ3wPxTBKXp4rA9cEBFXR8QSfRhrx1IIC3TZgIj4MvDvwDRg754ucM/M8zNzdGaOHjp06IIcliRJahF1Z54uAHbr9PxmYBzwAMXszxCK0LQz8IGyzW7lfgfV7PPlshzSQ5uObS/30KZbEXE88DWK1/DhzLynznEkSdLAVef2LNsAB1DMAD0BHJCZN3XT/BsRsTVwMbA2cEBEnN9D+548WpZr99BmzYa2vRYRxwDfB14FPpqZE6oeQ5IkDXx1TtsdXJYzgO3nF4Qy82aKFcA7rkc6tEafMG/pgI0ioruFOjdvaNsrEXEUcAbFquW7lcseSJIkvUWd8LQtxazThZn5SG92yMyHgQsprlvapkafZObjwK3AksBejdvLVcGHU6w+3utZo4g4HDgTeB3YPTP/VGd8kiRp0VAnPK1elhMr7tfRfrUafXb4Vll+JyLe2VEZEcMoPiEHxSf75nTadnRE3BcRFzUeLCI+U+73BvDxzPxDH8YmSZIWAXUuGO/4tFvV4NXbGwd333HmFRFxLsWtWO6KiD8x78bAywPXUNwguLNVgQ0oZqTmDSZiFHBeOa5HgL0jYu8uun0uM7/Q17FLkqSBoU54egp4B8WimBdX2K/jlil9WrE7M4+MiJuAo4DtgEHAfRSnBc/tPOs0HysyL9C9u3x05THA8CRJkoB64el64J3AwRFxWmY+NL8dIuIdFBeaJ3BDjT7fJDMvBS7tZdtTgVO7qB9PE2bDJEnSoqXONU8/LstlgL9GxLY9NY6IDwB/BpYtqy6o0ackSVJLqDzzlJm3lBdfHwSsQRGgJjFvkcwZFEFpfWAnitN7UMw6XeT6SZIkqZ3VXWH8MxQXaO9ePt+ceWssNeo4NXZ1uZ8kSVLbqnVvu8ycmZkfBw6huHluT/e2+zvw75m5Z2bOasqoJUmS+kndmScAMvOnwE8jYgNgC4o1oJajuLfcU8DEzLy/z6OUJElqEX0KTx3KgGRIkiRJA16t03aSJEmLKsOTJElSBYYnSZKkCrq95ikiXim/zMxctov6ut50PEmSpHbS0wXjg8syu6mvq/F4kiRJbaOn8DSRroNOd/WSJEkDXrfhKTPfX6VekiRpUeAF45IkSRUYniRJkiqovMJ4RJxTfnluZt5VYb8NgWMoPm13VNV+JUmSWkGd27McTnHB+O+BXocnYK1O+xqeJElSW/K0nSRJUgULMzx1zHLNWoh9SpIkNdXCDE/vLMtpC7FPSZKkpurxmqeIWAYY0s3mFSNi2HyOH8CywKbACRTXO91TdZCSJEmtYn4XjJ8AfKWL+gB+XLPPX9bcT5Ikqd/15tN2UbG+J1cD/11jP0mSpJYwv/B0N3B5Q90+FKffbgamzmf/OcB04BHgz5k5qc4gJUmSWkWP4SkzrwSu7FwXEfuUX47NzF8tqIFJkiS1ojqLZP6CYubpiSaPRZIkqeVVDk+Zue+CGIgkSVI7cIVxSZKkCiqHp4hYJSKui4jfRsSOvdznQ2X7X0fE8tWHKUmS1BrqzDztD3wY2BqY0Mt9bgG2Aj4C7FejT0mSpJZQJzztVJa/y8xXerND2e46irWhdqnRpyRJUkuo82m7TSg+bdfbWacOf6OYddq4Rp9aSDYZu/A/D3DHFy5b6H1KklRXnZmnjvvZPVlxv6fKcrUafUqSJLWEOuFpdlkuUXG/jvZ+wk+SJLWtOkHm2bLcoOJ+7y7L52r0KUmS1BLqhKcpFBd+7x0Rvbo5cEQsBuxNca3UHTX6lCRJagl1wtNvyvJdwCm93OcrZXsA74cnSZLaVp3wdDHwWPn1lyPiRxHx9q4aRsTqEfE/wJeZdz+8n9QZqCRJUiuoc2+7WRGxP/AXYEngUOCgiLgVuBeYDgwBNgQ2LfsI4HVgv8x8o0ljlyRJWujqrPNEZk6IiF2BnwNDKT5Jt0X56KzjmqhnKILTLXUHKkmS1ApqLxuQmX+hmF36BvAwRVBqfDwEfBUYkZl/7fNoJUmS+lmtmacOmfkCxcXgX4mI1YDhwPLAS8ATmfmvvg9RkiSpdfQpPHVWBiXDkiRJGtBc7VuSJKkCw5MkSVIFTTltFxEbMu96p0Hza5+Zv2hGv5IkSQtb7fAUEasDXwIOAJarsGsChidJktSWaoWniNiC4jYtqzBvLSdJkqQBr3J4ioghwDXAqsybRboFOK18fh7wD2BtYGdgg7L+58CNTRm1JElSP6kz83QYsBpFIDokMy8CiIjTyu2/z8y5N/+NiH2A/wb2Aq7LzJ/3bciSJEn9p86n7XYty9s7glNPMvNy4GMUF5L/KCLWr9GnJElSS6gTnjaimHW6upvtb/m0XWbeBFwBLAMcXqNPSZKkllAnPK1Ulv9sqJ9Vlst2s98fy3KXGn1KkiS1hDrh6Y2yfKWh/qWyfHs3+80oyzVq9ClJktQS6oSnJ8tylYb6R8pydDf7vassl6jRpyRJUkuoE57uKst3N9RPpFjzadeIGN55Q0QsB3yW4lqpR2v0KUmS1BLqhKfrKULS9g31F5flYGB8RBwSEdtGxCHAJGD1cvuvkCRJalN1wlNH+Nk4IubOPmXmBOByimC1LvA/wF/LsmN5gieBsbVHK0mS1M8qL5KZmY9FxC7A0sBrDZsPpvjU3QFd7HoXsHdmPl+1T0mSpFZR6952mTmum/rXgQMj4uvAjsDbKD6VNwkYn5lZd6CSJEmtoFZ4mp/MfAB4YEEcW5IkqT/VuTHwOeWXd2fmOT02liRJGmDqXDB+OMWyA0s2eSySJEktr054eqEsn2jmQCRJktpBnfD0aFk2rjAuSZI04NUJT9dQrOU0psljkSRJanl1wtM5wFPAv0XER5s8HkmSpJZWOTxl5gvAHsDTwBUR8fWIWK3pI5MkSWpBdZYq+G355b+A1YD/B5wcEQ8DU4FX53OIzMxdq/YrSZLUCuoskrkL0LFSeEe5GPCO8iFJkjRg1V1hPHpZ1xVv0SJJktpWnfC0dNNHIUmS1CYqh6fy5r+SJEmLpDpLFUiSJC2yDE+SJEkV9HjaLiJ+UH55QWbesxDGI0mS1NLmd83TcRSfjhsPdBmeIuLC8sszMvP25g1NkiSp9TTjtN3BwL8DazXhWJIkSS3Na54kSZIqMDxJkiRVYHiSJEmqoC3DU0TsHxE3RsS0iJgeEZMj4qiIqPR6ImLNiDgiIi6IiDsjYlZEZER8YUGNXZIktbe697brNxFxNnAk8BrwZ2AmsCNwFrBjROyVmbN7ebg9gR8ukIFKkqQBqa1mniJiT4rg9C9g48z8aGbuAawP3AvsARxd4ZCPAKcDBwEjgJ81d8SSJGmg6W14yia16auTy/LEzHxwbseZTwNHlE9P6u3pu8y8NjOPy8yfZea9wJzmDleSJA00vT1td01E9LQ9etGmQ2Zm5dOFETEc2Ax4A/hlFwe9PiKmAmsA7wduqdqHJEnS/FQ5bRfdPJJ5s07dtWl81PHesrwnM1/tps2khraSJElN1ZsZoPmFnbphqKp1y/KxHtr8s6GtJElSU/UYnjKzlS4oH1KWM3poM70sl1vAYwEgIg4DDgNYay3vTiNJ0qKglcLR/HTMcC2MC9N7JTPPz8zRmTl66NCh/T0cSZK0ELRTeHq5LIf00KZj28s9tJEkSaqtncLTo2W5dg9t1mxoK0mS1FTtFJ5uK8uNImLpbtps3tBWkiSpqdomPGXm48CtwJLAXo3bI2I7YDjF6uMTFu7oJEnSoqJtwlPpW2X5nYh4Z0dlRAwDzimffjsz53TadnRE3BcRFy3EcUqSpAGqrW4MnJlXRMS5FLdiuSsi/sS8GwMvD1xDcYPgzlYFNqCYkXqTiFgduLpT1TvK8piI+ESn+j0y86nmvApJktTO2io8AWTmkRFxE3AUsB0wCLgPuBA4t/OsUy8sBbyvi/q1ykfndpIkSe0XngAy81Lg0l62PRU4tZttj7LwVkiXJEkDQLtd8yRJktSvDE+SJEkVGJ4kSZIqMDxJkiRVYHiSJEmqwPAkSZJUgeFJkiSpAsOTJElSBYYnSZKkCgxPkiRJFRieJEmSKjA8SZIkVWB4kiRJqsDwJEmSVIHhSZIkqQLDkyRJUgWGJ0mSpAoMT5IkSRUs3t8DkCSpVXzmnBcWep8/OnLlhd6n+saZJ0mSpAoMT5IkSRUYniRJkiowPEmSJFVgeJIkSarA8CRJklSB4UmSJKkCw5MkSVIFhidJkqQKDE+SJEkVGJ4kSZIqMDxJkiRVYHiSJEmqwPAkSZJUgeFJkiSpAsOTJElSBYYnSZKkCgxPkiRJFSze3wOQJGlRtsnYfful3zu+cFm/9DsQOPMkSZJUgeFJkiSpAsOTJElSBYYnSZKkCgxPkiRJFRieJEmSKjA8SZIkVWB4kiRJqsDwJEmSVIHhSZIkqQLDkyRJUgWGJ0mSpAoMT5IkSRUYniRJkiowPEmSJFVgeJIkSarA8CRJklSB4UmSJKkCw5MkSVIFhidJkqQKDE+SJEkVGJ4kSZIqMDxJkiRVYHiSJEmqwPAkSZJUgeFJkiSpAsOTJElSBYYnSZKkCgxPkiRJFRieJEmSKjA8SZIkVWB4kiRJqsDwJEmSVIHhSZIkqQLDkyRJUgWGJ0mSpAoMT5IkSRUYniRJkiowPEmSJFVgeJIkSarA8CRJklSB4UmSJKkCw5MkSVIFbRmeImL/iLgxIqZFxPSImBwRR0VErdcTEbtExLiIeCEiXomIuyPiixGxVLPHLkmS2lvbhaeIOBu4BBgN3Aj8EXgXcBZwRUQMqni8/wR+B+wA3ApcBwwDvgGMj4hlmjd6SZLU7toqPEXEnsCRwL+AjTPzo5m5B7A+cC+wB3B0heONBr4NvAJsnZkfysy9gPWAG4D3A99s7quQJEntrK3CE3ByWZ6YmQ92VGbm08AR5dOTKpy+OwkI4DuZ+bdOx5sOHALMAY6MiBX7PHJJkjQgtE14iojhwGbAG8AvG7dn5vXAVGA1ihmj+R1vSeDD5dNLujjew8AEYEngI7UHLkmSBpS2CU/Ae8vynsx8tZs2kxra9mQDYBnghcx8qAnHkyRJi4B2Ck/rluVjPbT5Z0Pb3hzvnz20qXI8SZK0CGin8DSkLGf00GZ6WS7XD8eTJEmLgMX7ewAVRFlmqxwvIg4DDiufTo+I+/s8quZYFXiuvwfRW3HC5f09hHbgezrw+J4OPL6nA88GXVW2U3h6uSyH9NCmY9vLPbRp2vEy83zg/F70tVBFxOTMHN3f41Dz+J4OPL6nA4/v6cATEZO7qm+n03aPluXaPbRZs6Ftb463VpOOJ0mSFgHtFJ5uK8uNImLpbtps3tC2J/cBrwIrR8Q7ummzRYXjSZKkRUDbhKfMfJzi9ilLAns1bo+I7YDhFKuPT+jF8d6guC0LwAFdHG89YEuKdaWuqz3w/tFypxLVZ76nA4/v6cDjezrwdPmeRmazrr9e8CLiExQLZP4L2CYz/1HWDwP+CowAjsvM0zvtczTFLVsmZuZBDcfbHPgbxQzUBzNzYlk/BPgNsB1wWmZ+bkG/NkmS1B7aZuYJIDOvAM6lWEX8roj4dURcBTxIEZyuobhBcGerUlwt/5ZrmzJzEsUtWpYBbomIcRHxC+AhiuD0N+CLC+jlSJKkNtROn7YDIDOPjIibgKMoAs4giuuXLgTOzcw5FY/33Yi4E/g8xTVTg4GHgTOAsZn5ejPHL0mS2lxm+ujhAYynWAsqKU4Jdt62NfNO+z0CHNvLY64BXE2xCOdzFLNly/TQ/riy/yua+LqWAr4PPEOxUOh1wDrz2Wd54KvARGAaxenTq4F3ddF2NDAOeB54AfgT8L5O2wO4Cziw3d9T4EPA5RSr378C3E1xqnhQQ7slga8A/yiP/4/y+7lUk15XAP8PeLw8/g3AqF7s95NO34/Oj3d3arM58ONyzK8A9wOnAIMbjnUd8OUB8J5u38335Nt1fh764T3tauwJvN5F249T3Irq1fLn9ffAsp36Hyg/p939O09gv4a2awM/p/jd9QpwB7BLk17Xlyl+H75U9r1OhX0/Q3Gm5TVgCrBjF216/PsCLE3xe3+bhf2eDqRHvw+g1R/lD/BfKG42vFqn+neW/zgvA3agOP03C/j0fI63OMUf11uBXSkuVn8auLib9sPKH+BnaG54Oq/8RXkQxQ2S/1b+UA7uYZ+RwJPA14GdgH8D/hf4P2DNTu3WBF4sv2+7lo/xFH9g1u7U7kCKP8aLt/l7+guKa+QOpPij+yXgdeD7De1+UP4iPh74IMVs56vA6U16XSeXxzuaItD9tvzludp89vsJcG/5/ej8GNypzViKP9yfKV/jseX7eWXDsbYp/z2s2Obv6fYUf9j2b/iedP533qufh356Txvfy/cDzwLXNLT7NMUf4q+Vr3kP4ExghU5tBsrP6Tu6+J78FJgJDO3Ubs3yff1d+Z5+CPgCsEeTXtcT5Wu7lgrhCdgXmE0Rvj4IXFT+2xjZqU2v/r6Uxxi/MN/Pgfbo9wG0+qP8R/6W0EIRPh7o/AsFOIfif4jRw/H2K38A1u1UtzcwB1i/i/YXAD/rbhw1X9Pw8pfNQZ3q1qD4ZGG3v4CAZYGlG+pWLn+RndKp7vDyNa7YqW6lsu6ITnWDKRYg/Vibv6erdlH3X+UvtqU61f2LrgPV0014TYMpwsxXGt6vZ4FvzGffnwCT59NmaBd1h5W//NduqP8HcEybv6fbl69tZA9tevXz0B/vaRfH2qJ8Pft0qlu1/Pn7TC/G0fY/p930cQ/wu4a6y4AbgcUW0OtarCw/SrXwdD9wYefjUMwKXtyprld/XygC4hzgPQvzPR1Ij7a6YLzFfBi4KjNndaq7jCKYjJzPfpMy85FOdddQBJddOjcsPw24N8X/rJpp57K8qqMiM6cCN5Xj61JmzsjMVxvqXqA4XTWsU/USFOFseqe66WVddNr3NYr/Sb/pU5D9qNZ7mpld3Y7hNoo/Ost3qluC4o9hZy/S6XvSB1uVff2i07hmAL+mh/e0tzLz2S6qO9Y/G9ZQfyVt/p72RoWfh7qa+Z7uS3F6/ted6vYuy5/2tONA+TltFBEbU3zQ6Oed6lagOI15Tla8fra36hy3XDrnXbz538Icik+fd/630Ku/L1ks/TOJ1nlP247hqYaIWJYiud/XsOnesnx3D7u/u3G/LNaceqjzfhERFOeqv1sGm2Z6N/BEZk5vqL+Xnsf+FhExlGIa/e+dqq+kOD31/YgYVi4l8UOK0xm/bDjELcCO5evtN318T7uyFfBcQ+j4H+CzEbF1RAyJiG2AI3jrJ0TreDfF/zgfbKjv7Xs6IiJeiojXI+Kmct20+dmK4n+vjfd0vAXYLCJW6sUxFpgmvad/iYjZEfFoRHwpIgbNp8+ufh7q6ut72jGmoFgb79rMfKXTpvdRvHefiognImJmRPwtIrbq4jAD8ed0X4pTltd0qtuU4j85GRE3l9+TJyLi5H5+7R2vq6vXvXL5766j3Xz/vpRuoTglqRoMT/WsWJYvNtT/X1n29EdjpS7269i3836HUCzJMLbOAOejt2Poje8z7/oDADLzSYpz8ntSnG9/muJ/c2O6mMG4o+zznRX7bba+vKdvEhEjKE5dnt2w6SSKYHkTxWmQGyj+B/21yqN9q5WA6Zk5u6H+/4BlImLJHva9jeL6q49RXCMxCPhjRGzR3Q4RsRrFMh4/y8yXGjbfQTGb1t/3+OrLezoN+DZwMDCG4g/sVylOs/bkLT8PfdCX97SzbShmZRrHtBrFMi5fAk6keP9nAL+PiLc1tB1wP6fAPsBvG/79rlaW51GcutuZ4pPc36D4j05/6Xhd83vdVX633wG8JyIGN2WEi5i2W6qgxWTF+p62R0f9/2/vvOPtKqo9/v0BoahESuggeRSxIJGiAk8kMRYEjSIlFjQRKaIioiIPng+uBaTYeQrqUyNYEEHgPUNi+cgFFRFMgChFFL0UJZTkSk+f98eazZm7727ntnPvZX0/n/mcvfesPTNnz8yetWfWzMSu4zOxGSRPFcgOBZVpaIKk44AjgENCCEuS61sBl2KzQY6Klz8AzJW0bwjhniSYbMhrS/p/YXeCgeYpALG35TJgEZaHKSdhz+v46D8F+LSkJSGE0waW3No0qsLPPJJFZQEkzcV6Tk4F3tIvQGu0L8GUhKIFZNM8HQ20nachhJvouy3TLyUtBz4i6dNFQ7Vl9WGQDChPc7wdazx/lru+Frb5+WEhhPkAkq7Dhh0/iBkVZ4y3evoKYAdMaUzJOhTmhRAyc4mrJW2LGe9/rd2EDjH5/1dUFpq+2x/GPpQ2w+zFnDbwnqeBkWn2G+Wul30dpPQW3JeFld2XTU3+uaSNJG2EKboT4nnl0EEDmqShEkkzsFk5J4cQLs95n4Sl99AQwvz4Yj4EG4L4WE42W0er018/g8lTAOIX3JXYMhAzYnd55jcJ+3o9OYTw3yGEa0MI52Ev71Pi0OZg6AU2LCgbGwFPhhBWNg0oKuxXYUMYfYhDFxcCLwYODCH05mUYR3ma41KsXO+W96ipDwNl0HkqaR2s7l2WlsfI0vjbnV2IvTALMFuglPGWp2/Den/zW29lz+Tq3PVfAdtKmkhnyOpZ/n/ne+LaebePljwdk7jyNACi0ea99B9DLhuXTrkjf1/8kt8huW8XbMijN3H/DsyIx/sMIvlZGraL9gMp/cbLi4g2ERcDF4QQzi0QeQFwa/pyjy/uW7HpwilZRV9KBxlknhIbuB9gSsUbQggP5ER2wGwpbs5dvwlrkLcfQLJT7sC+IvPDKo3ytISiL9gvYtO33xxCKAt3XORpVdDpSYP6MFCGIk+nYz0LPyzwux37L3lbHmG2bCnjJk8lrYXZgF1R0LN/e8Et0HpGw2JE3oDsfxX976WJOUST9iVjVOTpWMWVp4EzDzg491U4E6vYf6q572WS0sZyBtZbMT+efwKzGUrdLZiNzDRseupg+Hn8PTi7IGlrzDZiXuEdLbkXY2sazcfW+inibmDX1CZD0nrYTJienOxk7IX018apHz4Gmqdg3fkHYNO58wbUYM8E+vfm7Bl/e9pLaj+uwxbde3rTbEnPwuxYKvM0j6QNsFk7C3LXT8GGHI8IIfymIojJ8ffOduIdJgaTp3kOwWaMLsouNKwPA2Uo8vTt2BIZ3QV+P8WUgmlJ+M/FyuQtOdnJjI96CvAqbGmWfgplCKEH+8ibnvOaDtxVMMlmRAgh/A2rT2lZyJTAtCw0aV8yJgNLhnCI+ZlFp9dKGO2O8rVGsoXafoC9fD6OLbZ2VE5uFX3XaZmAVfAFwIG0Xm6Fi2TWpaNAbjYN1g7BDCIfxhbAOwBb3K/PIpnYatirkvPNsRfUPdg6OOlicy9K5PaMz2IutlDbG7FKvRKYkkvH2cCiMZ6np8Znfib9F+GbmMhdjnWdnxDDPxEzTL6kJr1TY/hTa+ROwWY5fgB72c+NebxFIvPumP7t4/lzMcPYY+M9M2NZiNeCjAAAEIRJREFUWA7sldz3jpiG7xT8x81y6Tgu/s9hWSdnhPL0fGzhyDdhBuNfxoadP5/INKoPI52nyfX1Yj58qSL8K4D7gVlYXb0GW0dq4/FWT5PrF8RnWLjoJ/ZRuQY4F1v89IyY9++sSe9smr179wcOBT4b5Y+L5+k7tM+7N17L1nDKPq7n0H+RzMbtC7Yrwv+OZJ6OJ9fxBIx2V1aBo98rsa0ZlmE9B/22CIiVoyt3bdv40nocW+X7q1Rsz1KXjpzc+7GGb+MaufWwmUMPYTNsriJZWC3KdAEhOZ9K+fYG3bl7p2M9ZUuju4aChgL7wj19LOcpfbeRyLupidxEbPbkXbS2ZzkH2LAmvQfGsOoaZGEz4O6L4f8a2D0nM5vkBY/ZO/wEUwKWY8rcfGDv3H1zKv7j7JzslcB3xniefgjrYXosPpdbsW2S1kpkGteHkczT5Ppb4vW9K8J/DqYoLonh/5KChRMZB/U0XlsHe+ddUBP3EdgQ3opYT9/XIL1N373dJWUmLX9dJO/e5PrRMT3LsVXEi7ZnqW1f4nN4GJg1knk6npzig3RKkNSNFcCZwOowyh+YpO8Ca0II7+l0WuqQtAvWKO0UrLt8pOLtZmzl6SeBV4UQptUKd5g47PMA8JpQPbQ31PF243k6LHg9bcYYe/e+Hpsxu3UwOzKnTdzmqRlvxbqFT+h0QhqwD/Vr0YwWTsS6k3s6EPdYytN9GTt5ehxw/UgqTgmep8OD19NmjLV37xddcRo4vs5TPccCG8bje6oERwMhhOd3Og1NiFPe/07xLKDhZqzl6Ws7nYY2eIShN5xugufpMOD1tDlj6N27AfA7bOasM0B82M5xHMdxHKcNfNjOcRzHcRynDVx5chzHcRzHaQNXnhzH6TiSuiUFST0l/nOi/5i3M5A0Ofsvkro6nR7HcdrHlSfnGU2uIQuSHpS0YYP7eqoae8dxHGf84sqT4/RlM/pvXuw4Tg3JB0V3p9PiOMONK0+O05+PSNqi04lwWoQQZocQFELIb2LrOI4z4rjy5Dgtsp3JnwP8VycT4jiO44xeXHlynBbzsP2iAI6RtGMnE+M4juOMTlx5cpwWAfiPeDwB+PRgA5Q0QdLRkuZLul/SCklLJF0v6TRJm9Tc38eORNLzJJ0r6VZJj0S/2RXy20n6gqQ/S3pC0mJJ8yS9OhfPBpKOl/T7mL4nJC2M19auSePukrok/ULSvZKWSXoqHl8uaWZdGHVUzbZL/Rq67op4dozPd6GkpTG/7pc0V9K7m/wPSZtI+qyk2yQ9meT3CZImDOY5lMS3vqT3xzL2T0nLJfVK+oOkMyRtWXHv1OS5zI7X9pN0iaT7YliLJf1E0r+XhNEd82X7eGn/kuc+ObmnK70uaR1Jx0q6Osa3uiifZBwey1WWvl5JN0k6W9K2Nc+qz6xOSZtLOjPWp8ckPSrpRkknSVq/JP47Yxj3NiwP5yX/ddc6eWeM0Omdid2566QDJtPa1XxOvPaLeL6G3A72yX09UaanIuwdgdso3kE9c73A6yrCyOLpBt6AbX+SD2N2ifz+wNKSeNcQd4oHtsF63MrSeBlxN4KC9L2l5v9l7hpgk4r/2V31PIE5WVhVfg1dd0EYAk7H9lGruvdGYJuK/7E7tjFy2f2/B16anHcNsvzuDdxbk+bHgUNK7p+alqP4DNZUlJmjK/Kuzk1O7ulKru8OXF+XT9hkjt/UxPEUMKtJOYv58M+KsG4HtisI46OJzEE1+bMBVscDcF0n3nHuhsd1PAHu3HXSUaw87Zk0ID8rua8newmX+E8C7kvC/gVwKLAH8HrgW0kcK4F9auL5G6Y49caGZ39gL+Ad6b2J/J3Aw1hD/nFsI9qXx+PHknhfANwALAe+DLwmpvEI4K4k/UeWpO/QGN6PgPcB02JjOB04OoadhXFVRT483aiV+M/Jwinw2wbYtcZ9J5/PuTC+lPjfCXwYOCA+izcC3wZWR/8/As8uCGPL+MyzcK4AZsQw3gxcSUuBGrTyhClOy2I4T8T8Owx4GfBKrBf1/ui/Cnh1QRhTk7T8OknfrCScM4EV0W8ZsHMujH+Lz/gftBTMojyYkNzTlcR7c/z9MaaM7wG8FjgqkV8/kcvieBdWB14NfB4rw5n/YTXl7EGsTq0EvoqV+z2BtwO/TcK5HVg/F8YmmJIWgCtr8mhWEtasTr/v3A2d63gC3LnrpKNAeYrXf5Rcn15wXw/Vjf13k/u/VCLztkTmL8BaFfEETBHaseb/pPI9FPSSAAcnMg/GhnFqgdx2WK9FABaWxLclMLEmTZ9K4tuvRCZr1Mqe55wsjAHk8UxaiupNwHNy/m9I0ncOsHZJOAcn4XyiwP97SThdJWF8JpEZsPIErAfcTUuZ27pEbnPgz1Huz/kyRl/lKcRyW1QOj0xkPl9T9robpL8rF+/xNfKfTGQvK8oj7IMiU6B6i8olfXvJVlPQc4SZs/ywKo+AC2kppYXPPsr9NknPBgPJa3ej03U8Ae7cddJRrjztRGsI50Zyw1ZUKE+xwcq+1O8k+eIukP1+Ev+bC/x7Ev/3NPg/qfyMCrl76hrDKHdRlFlT1Bg1fMZrY0palSKZNWr9nmf0n5Olt82496XVS3AfxcrkddF/QT6fC2QvjbJ3V+T5HylQQJJncWtVw9zwfx2ThDGlRvaNiey0nN/UxG9xWQMfFYqsF2tBTdnrbpD+riTea2pkJ2AzYQM2DL1RhewZSbgnVJSzAHyjIpyJtHoRH8jX4ViusnD6KdJR5kWJzFcGks/uRq9zg3HHKSCE8Ffgm/F0L2x4qinTsBc+wLdDCCsrZL+WHL+uQm4l1hvWlEeAn1b435wcf79C7qb4K2x4phJJ60raVtILJe0aDWRfiA3pgA3pjQiSdsKGytbHetAOCiH8IyezJbBPPL04xFavgu74+7yccXKa53NCCGuKbg4hrMYUwcHy1vh7WwjhlhrZ7uS40Og7cmkI4akij/h/FsTTHRqlsDkX1fjvgQ2DA1wSQvhXhWzT+gTwP2UeIYRHgUvi6eaYfVTqfx2wKJ6+V1JRW3pMcvyNmrQ4YwxXnhynnE9htiQAZ0hap+F9uyXHv6uRvRFTjACmVMjdGUJ4smH8mXxhAx5JG6A7GspNLBKQNFHSJyTdjD2vezFD+T8mLmt8JhWFMdRI2hS4Ksa3Gji8RMl4eXJ8Tt1MPeC8RH6r5DjN8xtqkvf7Nv5KGVm6X9QgzY+VpDnP7TVxLo2/heVgENxc49+4PkXl+J54WlWfVtBalqSMNJ+Kwjo//k7GbLSeJs7Ue1c8/V0I4U81cTljDFeeHKeEEMJizJAYYGfgqIa3bpocL66JYwWtRmnTCtHehnFn1ClaTytWNUpZqoD1m5Yde5Zux5Z1mALUKZjPqvEfNJLWAy7H8gzggyGEeSXimw8iqvS/pHn3QM19df6VxOUONh7g7VXP/4kKP2iVhaFuN+rKduP6FLm/4L48S0MIq2rCSeMqCut7tBTTo3N+h2KG5QBfr4nHGYM0/ZJ2nGcq5wDHYj0Yp0u6sM0eoLphoKayq9sIZ0SIjfilwNbx0kXAxZhNz4PA8qz3S9K1wH7Y8N9wpknYzLr94qXPhRAuqLglfQd+FPh5G9H9vc3kZQz2GaRK7LXAB9q4t10lfCRop2wPVX1qEk5lPoUQHpf0fWyW6QxJW4QQMsU4U6b+RWv4zxlHuPLkOBWEEB6VdCbwBWxm2YmYUWoVS5LjrTCj8UIkrUvrC3VpmdwoZRqwSzw+K4RwSoXsQHtK2uUz2HRzgJ9gSzNU8VByvO4ghlfSPN+CijxncL1dhBCWSXoc20Zoi2fAkFC+PtWRyVTVp00lrVPT+5Tub7mkROZ8THmagK2TdbakXYBXRf+LyuzInLGND9s5Tj1fw6aFA3w82tNUsSg53qdUyngZLUPjOsPf0cZLkuMflglJ2hBbT2pYkXQkcGo8vQE4ooEB+B+S4wMGEX2a5y8vlTJeMYh4MjLj7V0k1RryjxDt9Aq1Q+P6JGkb4HnxtKo+rYsZoleR5lNhWCGERbTssI6KPZ9uKP4MwJUnx6khhLAcOC2eTqTVQJfxK8wgFeDImi053pcczx9YCjtG2nNdZUtzDMPcyy1pOpANz/UAb2ryxR9CuJuW4fD+kl45wCRcTcvwf1bJ7Cvidh6zBxhHymXJ8X8OQXhDQfa81xvicBfS6iE8XNJGFbLt1KdSG0ZJE4HD4+mDVBu1Z4bjO2EL4L47nruh+DjGlSfHacb3sFljYDYmpcNQIYSHaPXE7AycWyQn6TDgnfH0L8DcIUnpyJEOTR1ZJCBpP4Zgj8AqJL0YUyYmYDYmB4YQHmwjiNOS44tjeFXx7SJpZnotxpfZtrwkF2bKJ7H1fwbLN7FZjWBT5T9cJSzp2ZJOLFPqhoh/xt+dYg/MkBCX+siWINgY+FbRnnJR8T0pnvZiC35W8V5JBxWEsxamiGc9zBfULDfyY1rDet+mNaPUDcXHMW7z5DgNCCGskXQq8H/Yl3Xd1/VHsS0ftgFOiA3yBZiR8SRsG40jMaPUVdjWDVVLC4xG5mMzm7YCjpZtcnwhtqbTZtjWJEdhCs09tOyjhpq5wHPj8enA2jUbsD4RQnja2DuEMFfS2cDJWH4tkHQRMA9LtzA7pSnAQdjQ0Q/ov+7Wx7Chv02xyQVTsMb0HzHc92LbtNxA/dBeJdHu6WBsz8BnA1+MyvhF2DDXk9gzeQFmfzMDs5E6j74zKIeSX2Pb8kwCzpd0IX3tju6qUUKq+Cy2dcsUbI2r6yV9GZvpuSG2EOgHadXLY+NaTWU8hK39dYWkr2OzM3uB5wPHY4tggi3jcVZVwmJezMHqfGZv5Ybi451Or9Lpzl0nHSUrjFfIX5vIl66IHWV3xF7uocL1Aq+vCKOHhqs2tyNPwxW7sSGmLK1TC/yn0torr8gtxpSN7qrn1cC/NL01z7fIFT4b4EOY0tEkjK+WhLEH1RsDX48pAINaYTyJbzfqN5/O3KPktjUhtzHwYMoMZmC9uCL+yYlsV9H1mviHemPgKVRvDHwHBRsDl4S7E303VPYVxce582E7x2mPk5sKhhDuwhq3Y7Ap8A9gdjG9WO/D6dhedT8bhnSOCCGEbmwBzG9iDdJK7Kv7Fmzm224hhLqFQkcFIYSvANtjNkRX08qvZdjWLr/C/tPeIYTC5QFCCAuxFdXPwhrfp2jl94exJRQeGcI0L8KGCWdiy0T8DVuvaRXW67MQW0l7JrBlsBXOh4Vg0/T3wnq3bovpGDIj8mDD4fthe0JeiSk+K7DneQs2PL5zCKFuuC4L7xas7J4V0/t4dAuxev7SEMK95SH0Ceuv2D52GW4oPs5RCMM1QcJxHMdxRg+SurENhO8OIUwewnDXxYZnJ2GG4vvW3OKMcbznyXEcx3EGx1tpGYpXLcrqjBNceXIcx3GcARJn52XD+Q/jhuLPCHy2neM4juO0gaTNsTXfJmGz87KNr88NISzrWMKcEcOVJ8dxHMdpj3OAWblrC2htJO6Mc3zYznEcx3EGxirgLuBzwGtCCCtq5J1xgs+2cxzHcRzHaQPveXIcx3Ecx2kDV54cx3Ecx3HawJUnx3Ecx3GcNnDlyXEcx3Ecpw1ceXIcx3Ecx2kDV54cx3Ecx3Ha4P8BxHTsIUsrPnkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for Feature in Headers:    #Feature represents each of the features in the list\n",
    "\n",
    "    Min = df[Feature].min()     #Establish Min & Max\n",
    "    Max = df[Feature].max\n",
    "\n",
    "    skip_val = (Max-Min)/4 \n",
    "    x = np.linspace(Min, Max, num=5)    #creates Values for ticks\n",
    "    labels = []            #List to hold\n",
    "    for i in range(0,4):\n",
    "        labels.append('[{:.2f} , {:.2f})'.format(x[i],x[i+1]))\n",
    "\n",
    "    \n",
    "    fig, ax = plt.subplots(figsize=(9, 9))     #Creates dimensions of the Graph\n",
    "\n",
    "    a_heights, a_bins = np.histogram(dep[Feature], range = (Min, Max), bins = 4)     #creates histogram for depressed user (Bins represent number of bars)\n",
    "    b_heights, b_bins = np.histogram(non_dep[Feature], range = (Min, Max), bins=a_bins)   #Creates histogram for non depressed individuals\n",
    "\n",
    "    width = (a_bins[1] - a_bins[0])/4     #creates the width of the bars for the histogram\n",
    "    ax.set_xticks(np.arange(Min, Max, skip_val))     #Plots the ticks at the equal distance of each other\n",
    "\n",
    "    f1 = a_heights / np.sum(a_heights)       #Creates the bars height for the overall percentage of data points \n",
    "    f2 = b_heights / np.sum(b_heights)\n",
    "\n",
    "    ax.bar(a_bins[:-1], f1, width=width, facecolor='cornflowerblue', label = \"Depressed\")      #plots Depressed Bars\n",
    "    ax.bar(b_bins[:-1]+width, f2, width=width, facecolor='seagreen', label = \"Non-Depressed\")   #Plots non-depressed Bars\n",
    "\n",
    "    handles, label = ax.get_legend_handles_labels()       #needed to help generate Legend    \n",
    "\n",
    "    plt.xticks(a_bins, labels, rotation ='horizontal', size = 15)    #Add xticks and specifies font size of tick values\n",
    "    plt.yticks(size = 22)   #Size of yticks\n",
    "    plt.ylabel('Fraction of samples', fontsize = 30)      #Defines label and sizes it\n",
    "    plt.xlabel(Feature, fontsize = 29)       #Defines x label and sizes it\n",
    "    ax.legend()        #Adds Legend\n",
    "    \n",
    "    if Feature.find(\"Total\") != -1:     #If conditional to change the size of the xtick values because they are bigger than other features. \n",
    "        plt.xticks(a_bins, labels, rotation ='horizontal', size = 12) \n",
    "        \n",
    "    Feature = Feature.replace(\" \", \"_\")    #replaces spaces with underscores before saving the image. \n",
    "    \n",
    "\n",
    "    fig.savefig(Feature+'_Histogram_Phase1_'+os+'.jpeg',dpi=fig.dpi,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Pearson Coefficients"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This sequence of scripts is design to create the pearson coefficients needed for statistical analysis. The cell directly below takes both ios and android features and seperate the depressed and non depressed users. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "ios_feature = 'Phase1_feats_ios.csv'          #CSV for ios and Android features.\n",
    "android_feature = 'Phase1_feats_and.csv'\n",
    "\n",
    "ios_features = pd.read_csv(ios_feature)       #Set up Dataframes with csv\n",
    "android_features = pd.read_csv(android_feature)\n",
    "\n",
    "ios_dep = ios_features.loc[ios_features['Depressed'] == 1]     #depressed dataframe\n",
    "and_dep = android_features.loc[android_features['Depressed'] == 1]    #depressed dataframe\n",
    "ios_nondep = ios_features.loc[ios_features['Depressed'] == -1]      #Non depressed dataframe\n",
    "and_nondep = android_features.loc[android_features['Depressed'] == -1]     #Non depressed dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creates the column headers and new dataframe to write pearson to. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "col_head = ['Feature', 'Android Depressed-R', 'Android Depressed-P','Android Non-Depressed-R','Android Non-Depressed-P','iOS Depressed-R','iOS Depressed-P','iOS Non-Depressed-R','iOS Non-Depressed-P']\n",
    "pearson_csv = pd.DataFrame(columns = col_head)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Establish total scores as consistent variables for android and ios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_score_ios = ios_dep['Total Score']       #Depressed Scores\n",
    "total_score_and = and_dep['Total Score']\n",
    "\n",
    "total_score_ios_non = ios_nondep['Total Score']    #Non Depressed Scores\n",
    "total_score_and_non = and_nondep['Total Score']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For loop that is designed to calculate the pearson scores, print them, then add each row to the csv. Rerun the create\n",
    "columns headers if there are disrepancies in the csv. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Location variance\n",
      "_________Depressed_________\n",
      "iOS:     -0.038 0.594\n",
      "Android: 0.001 0.988\n",
      "_______Non-Depressed_______\n",
      "iOS:     -0.327 0.009\n",
      "Android: -0.280 0.088\n",
      "\n",
      "Average moving speed\n",
      "_________Depressed_________\n",
      "iOS:     -0.109 0.127\n",
      "Android: 0.104 0.224\n",
      "_______Non-Depressed_______\n",
      "iOS:     -0.364 0.003\n",
      "Android: -0.014 0.935\n",
      "\n",
      "Entropy\n",
      "_________Depressed_________\n",
      "iOS:     -0.144 0.044\n",
      "Android: 0.308 0.000\n",
      "_______Non-Depressed_______\n",
      "iOS:     -0.437 0.000\n",
      "Android: -0.417 0.009\n",
      "\n",
      "Normalized entropy\n",
      "_________Depressed_________\n",
      "iOS:     -0.154 0.030\n",
      "Android: 0.166 0.051\n",
      "_______Non-Depressed_______\n",
      "iOS:     -0.444 0.000\n",
      "Android: -0.356 0.028\n",
      "\n",
      "Time spent at home\n",
      "_________Depressed_________\n",
      "iOS:     0.169 0.017\n",
      "Android: -0.246 0.004\n",
      "_______Non-Depressed_______\n",
      "iOS:     0.454 0.000\n",
      "Android: 0.423 0.008\n",
      "\n",
      "Time spent in moving\n",
      "_________Depressed_________\n",
      "iOS:     -0.256 0.000\n",
      "Android: 0.250 0.003\n",
      "_______Non-Depressed_______\n",
      "iOS:     -0.342 0.006\n",
      "Android: 0.388 0.016\n",
      "\n",
      "Total distance\n",
      "_________Depressed_________\n",
      "iOS:     -0.109 0.127\n",
      "Android: 0.110 0.201\n",
      "_______Non-Depressed_______\n",
      "iOS:     -0.360 0.004\n",
      "Android: -0.041 0.806\n",
      "\n",
      "Number of unique locations\n",
      "_________Depressed_________\n",
      "iOS:     -0.077 0.281\n",
      "Android: 0.324 0.000\n",
      "_______Non-Depressed_______\n",
      "iOS:     -0.275 0.029\n",
      "Android: -0.464 0.003\n",
      "\n",
      "                      Feature  Android Depressed-R  Android Depressed-P  \\\n",
      "0           Location variance             0.001241             0.988472   \n",
      "1        Average moving speed             0.104231             0.223750   \n",
      "2                     Entropy             0.308093             0.000237   \n",
      "3          Normalized entropy             0.166148             0.051463   \n",
      "4          Time spent at home            -0.246080             0.003622   \n",
      "5        Time spent in moving             0.250372             0.003059   \n",
      "6              Total distance             0.109505             0.201059   \n",
      "7  Number of unique locations             0.323837             0.000107   \n",
      "\n",
      "   Android Non-Depressed-R  Android Non-Depressed-P  iOS Depressed-R  \\\n",
      "0                -0.280481                 0.088069        -0.038072   \n",
      "1                -0.013708                 0.934900        -0.108683   \n",
      "2                -0.416913                 0.009216        -0.143603   \n",
      "3                -0.356347                 0.028096        -0.154247   \n",
      "4                 0.423192                 0.008115         0.169000   \n",
      "5                 0.388031                 0.016073        -0.256353   \n",
      "6                -0.041233                 0.805842        -0.108854   \n",
      "7                -0.463916                 0.003349        -0.077043   \n",
      "\n",
      "   iOS Depressed-P  iOS Non-Depressed-R  iOS Non-Depressed-P  \\\n",
      "0         0.594361                  NaN             0.008945   \n",
      "1         0.127474                  NaN             0.003344   \n",
      "2         0.043555                  NaN             0.000338   \n",
      "3         0.030029                  NaN             0.000268   \n",
      "4         0.017306                  NaN             0.000189   \n",
      "5         0.000267                  NaN             0.006041   \n",
      "6         0.126872                  NaN             0.003749   \n",
      "7         0.280663                  NaN             0.029353   \n",
      "\n",
      "   iOS\\n Non-Depressed-R  \n",
      "0              -0.326801  \n",
      "1              -0.364178  \n",
      "2              -0.437403  \n",
      "3              -0.443915  \n",
      "4               0.453599  \n",
      "5              -0.342245  \n",
      "6              -0.360063  \n",
      "7              -0.274689  \n"
     ]
    }
   ],
   "source": [
    "for feats in Headers:\n",
    "    print(feats) #Prints Feature\n",
    "    ios_feat = ios_dep[feats]      #Creates list of feature from depressed \n",
    "    and_feat = and_dep[feats]\n",
    "\n",
    "    \n",
    "    r_ios,p_ios = stats.pearsonr(ios_feat, total_score_ios)     #Calculate pearson for depressed individuals\n",
    "    r_and,p_and = stats.pearsonr(and_feat, total_score_and)\n",
    "    \n",
    "    print('_________Depressed_________')     #Heading printing for depressed scores\n",
    "    print('iOS:     {:.3f} {:.3f}'.format(r_ios,p_ios))        #prints depressed scores \n",
    "    print('Android: {:.3f} {:.3f}'.format(r_and,p_and))\n",
    "    \n",
    "    ios_feats_n = ios_nondep[feats]\n",
    "    and_feats_n = and_nondep[feats]       #Creates list of features from nonpressed\n",
    "\n",
    "    \n",
    "    r_iosNon,p_iosNon = stats.pearsonr(ios_feats_n, total_score_ios_non)   #Calculate pearson for non-depressed individuals\n",
    "    r_andNon,p_andNon = stats.pearsonr(and_feats_n, total_score_and_non)\n",
    "    \n",
    "    print('_______Non-Depressed_______')\n",
    "    print('iOS:     {:.3f} {:.3f}'.format(r_iosNon,p_iosNon))\n",
    "    print('Android: {:.3f} {:.3f}\\n'.format(r_andNon,p_andNon))\n",
    "    \n",
    "    #Add new row of depressed and nondepressed scores and write it to dataframe. \n",
    "    new_row = {'Feature':feats, 'Android Depressed-R':r_and, 'Android Depressed-P':p_and,'Android Non-Depressed-R':r_andNon,'Android Non-Depressed-P':p_andNon,'iOS Depressed-R':r_ios,'iOS Depressed-P':p_ios,'iOS Non-Depressed-R':r_iosNon,'iOS Non-Depressed-P':p_iosNon}\n",
    "    pearson_csv = pearson_csv.append(new_row, ignore_index=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(pearson_csv) #Optional print statement to verify the csvs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pearson_csv.to_csv('pc_scores.csv',index=False)  #Writes dataframe to csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pearson Coefficients without depressed and non depressed (optional)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "Score_ios = ios_features['Total Score']      #establish scores\n",
    "Score_and = android_features['Total Score']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Location variance\n",
      "______Total______\n",
      "iOS: -0.164 0.008\n",
      "Android: -0.133 0.079\n",
      "\n",
      "Average moving speed\n",
      "______Total______\n",
      "iOS: -0.207 0.001\n",
      "Android: -0.003 0.965\n",
      "\n",
      "Entropy\n",
      "______Total______\n",
      "iOS: -0.207 0.001\n",
      "Android: 0.152 0.044\n",
      "\n",
      "Normalized entropy\n",
      "______Total______\n",
      "iOS: -0.193 0.002\n",
      "Android: 0.068 0.372\n",
      "\n",
      "Time spent at home\n",
      "______Total______\n",
      "iOS: 0.216 0.000\n",
      "Android: -0.087 0.249\n",
      "\n",
      "Time spent in moving\n",
      "______Total______\n",
      "iOS: -0.294 0.000\n",
      "Android: 0.290 0.000\n",
      "\n",
      "Total distance\n",
      "______Total______\n",
      "iOS: -0.205 0.001\n",
      "Android: -0.008 0.913\n",
      "\n",
      "Number of unique locations\n",
      "______Total______\n",
      "iOS: -0.130 0.036\n",
      "Android: 0.144 0.056\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for h in Headers:       #h represents the feature name\n",
    "    print(h)\n",
    "    Feat_ios = ios_features[h]     #Grab feature\n",
    "    Feat_and = android_features[h]\n",
    "    \n",
    "    ios_r,ios_p = stats.pearsonr(Feat_ios, Score_ios)    #Establish Scores\n",
    "    and_r,and_p = stats.pearsonr(Feat_and, Score_and)\n",
    "    \n",
    "    print('______Total______')                  #Prints Scores\n",
    "    print('iOS: {:.3f} {:.3f}'.format(ios_r,ios_p))\n",
    "    print('Android: {:.3f} {:.3f}\\n'.format(and_r,and_p))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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