wcbeard/Autoplay.ipynb Secret

## Autoplay.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Autoplay block experiment results\n",
    "[Go to code](#Run-code)\n",
    "## From the [PHD](https://docs.google.com/document/d/19enwHXxFmK1Bd71AHLeoEt4qDDpBFjsABJ2qEqHEj9g/edit?ts=5b36d95a#bookmark=id.b6hed8650ztb):\n",
    "1. Blocking autoplay videos leads to happier (**based on survey results**) users (test 1-3 > control)  \n",
    "- Doorhanger is a good solution when autoplay videos are blocked (test 1 & 2 > 3 in terms of **survey results** and **number of page views**)\n",
    "    - [quibble with 2nd]\n",
    "- Test 1 (“Remember this decision” checked) should be the default UI because\n",
    "    - users decide blocking/ non-blocking by domain\n",
    "    - (Number of users who change the default in test 1< Number of users who change the default in test 2)\n",
    "\n",
    "- No regress on retention with a 5% margin \n",
    "- No regression on usage for test 1 & test 2 compared to control\n",
    "\n",
    "Branch Definitions:\n",
    "\n",
    "1. \"control\" (always enable autoplay)\n",
    "- \"allow-and-remember\" (remember checked by default)\n",
    "- \"allow-and-notRemember\" (remember unchecked by default)\n",
    "- \"block\" (always block autoplay)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Summary\n",
    "\n",
    "From \\# of pageviews (from study addon)\n",
    "- significantly fewer domains with autoplay media visited in **`remember`** branch\n",
    "- no significant difference in total domain names visited\n",
    "\n",
    "From choice of default option\n",
    "- users from `not-remember` stuck with the default more often than users in the **`remember`** branch (whether or not they chose block or allow)\n",
    "\n",
    "From retention\n",
    "- `not-remember` had slightly better retention than control & `remember` was slightly worse, but not significantly so\n",
    "\n",
    "From change in total URIs (from main ping)\n",
    "- no difference in mean (presumably because of long tails)\n",
    "- median user in **`remember`** branch had about 10 fewer URIs, which is statistically significant"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Survey\n",
    "- [x] Rob"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. \\# of pageviews: Doorhanger vs automatically blocking everything\n",
    "- Uris below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_splts, spi = mu.mk_sublots(ncols=1, nrows=2, figsize=(10, 10))\n",
    "\n",
    "au.plot_pctiles(boots_tot_am, title='Mean domain names with auto-play media', ax=spi.n)\n",
    "au.plot_pctiles(boots_tot, title='Mean total domain names', ax=spi.n)\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. “Remember this decision” checked\n",
    "- These are filtered for 1st interaction with a website\n",
    "\n",
    "- More users leave the checkbox unchanged compared to `“Remember this decision” unchecked`\n",
    "\n",
    "- E.g., for top point: Out of all the times those in allow-and-remember branch chose to Allow, what percentage of the time did they leave default remember option checked?\n",
    "- The scenario when users left the checkbox alone the most was when `not-remember` branch users blocked a page"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "au.plot_pctiles(def_pars_df, title='% of times users in branch chose default remember option with given action')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "au.plot_pctiles(\n",
    "    def_pars_df_diff,\n",
    "    title='Difference between remember checked and not checked'\n",
    ")\n",
    "au.add_vline(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. No regress on retention with a 5% margin\n",
    "- Compare 3 branches with control"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "au.plot_pctiles(rsamp)\n",
    "plt.title('95% credible intervals for retention % $\\\\theta$');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1152x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 10));\n",
    "au.kdeplot_branch(df=ret_sub_ctrl_stk, valname='Theta_diff',\n",
    "                  vline=0, title='Estimates for $\\\\theta-\\\\theta_{control}$',\n",
    "                  height=7,\n",
    "                 )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "## 5. No regression on usage for test 1 & test 2 compared to control"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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uj/K6hyzD/3fk/W0H/kCagPxkPkZHt3r8vdj/i14ez1uSeuAezG303/x6m0KeiTS/HL/psr54KG/EzKy28pDLbOC0iBg3oJUZxPIQyR2kyZ1fHuj6LCtJE0gTljeJpffi9NX2Lif1Rm0QS85BsuXMc1zMzIaIiPgfadLs/nk+VO1IehlpWOtnyyloeQvpdve/d9AyOHiOi5nZ0HIcaaJrO2k4pm7aSUOeP+7PjUj6OOkGgeNIk92P6c/tWescuJiZDSER8QSlK1zqJCL+CfxzOWyqg9TTcifwyYjo7WXX1k88x8XMzMxqwz0uZn1srbXWivb29oGuhplZrVx33XUPRUSzuww/z4GLWR9rb29n1qxZA10NM7NakdTdSj5fVWRmZma14cDFzMzMasOBi5mZmdWGAxdboUg6OP/gWH+UHYXfEjIzswHgwMVWNAcD/RK4mJnZwHPgYkOWpFUHug5mddDV1UV7ezvDhg2jvb2drq6uga6SDWEOXKzfSXqjpD9KmitpgaRbJY3PyyTpkJz2tKT7JJ0kafVSGSHpaElflDRb0uOSLss/7d7IM4f0c/Fjc/6QNDUvm5hfv17SNElPAL/pTR3MhqKuri46Ojro7u4mIuju7qajo8PBiw0Y38fF+pWkrUg/6X476YfR7gZeC/xfztIJjCf97sh5wObAt4E3Sto+IhYVitsHuBX4ErAK6TdXzpG0aUQ8C3wIuAC4kfSz6pB+lr3oHOAU4Luk32vpbR2sBwcffDA33HDDQFfD+sjMmTNZuHDhYmnz589nv/32Y8qUKQNUK+tro0ePZtKkSQNdjZY4cLH+9n1gLrB1RMzPadMBJI0AvgycFhEH5WXTJD0I/BLYDTi3UNYzwG4R8UxeH+C3wFbAVRFxvaSFwEMRMbNJfX4UET9svFiGOlSS1EH6bRNGjhzZU3az2igHLT2lm/U3By7WbyS1AdsAxxWClqKtgVWBM0rpZwKnAtuzeNDwl0bQkjV+9GwkcFWL1frji6xDpYiYDEwGGDNmzJD+AbC6fGuz1rS3t9PdveQNTUeNGsWMGTOWf4VsyPMcF+tPa5COsbubLB+Rn+8rJuZhn7mF5Q3zSq8bX/lW60Wd7iu97m0dzIaUzs5O2traFktra2ujs7NzgGpkQ50DF+tPD5PmkWzQZHkjEFmvmChpOLAmKXDoa+XekIGog1ltjB07lsmTJzNq1CgkMWrUKCZPnszYsWMHumo2RDlwsX6Th4euBPaR9JKKLDNJvSZ7l9L3Ig1jXrYMm10IVG2rmf6og9kKZezYscyZM4dFixYxZ84cBy02oDzHxfrbV0gn/6slHU8aNno1MDoiviDpBGC8pCdJVwRtBhxNCnjOX4bt/Qt4h6TdgPtJE3XnNMscEfP6oQ5mZtZPHLhYv4qIayVtAxwFnEiaCNtNmvgKMIF0yfIBwOdJQzOnA+OX8TLk8cAU0j1aXgKcBozrYZ2+roOZmfUTRQzpCyDM+tyYMWNi1qxZA10NM7NakXRdRIzpKZ/nuJiZmVltOHAxMzOz2nDgYmZmZrXhwMXMzMxqw4GLmZmZ1YYDFzMzM6sNBy5mZmZWGw5czMzMrDYcuJiZmVltOHAxMzOz2nDgYmZmZrXhwMXMzMxqw4GLmZmZ1YYDFzMzM6sNBy5mZmZWGw5czMzMrDYcuJiZmVltOHAxMzOz2nDgYmZmZrXhwMXMzMxqw4GLmZmZ1YYDFzMzM6sNBy5mZmZWGw5czMzMrDYcuJiZmVltOHAxMzOz2nDgYmZmZrXhwMXMzMxqw4GLmZmZ1YYDFzMzM6sNBy5mZmZWGw5czMzMrDYcuJiZmVltOHAxMzOz2nDgYmZmZrXhwMXMzMxqw4GLmZmZ1YYDFzMzM6sNBy5mZmZWGw5czMzMrDYcuJiZmVltOHAxMzOz2nDgYmZmZrXhwMXMzMxqw4GLmZmZ1YYDFzMzM6sNBy5mZmZWGw5czMzMrDYcuJiZmVltOHAxMzOz2nDgYmZmZrXhwMXMzMxqw4GLmZmZ1YYDFxt0JE2UFJKGLyXPDjnPDv2w/UbZ7+rrss3M7MVx4GJmZma14cDFzMz6TFdXF+3t7QwbNoz29na6uroGukq2gnHgYoPZZpIulTRf0n2SjpLU9JhVcoikWyU9ndc5SdLqpXzDJR0u6V+SnpL0oKQLJW26lLJfLek2SX+VtEZf7qTZiqKrq4uOjg66u7uJCLq7u+no6HDwYn2q6RwCs0HgbOAXwDHAzsA3gEXAxCb5O4HxwI+B84DNgW8Db5S0fUQsyvnOBD4ITAIuBlYDtgNeCdxSLlTSm4A/A9cAe0XEgj7YNys5+OCDueGGGwa6GvYizJw5k4ULFy6WNn/+fPbbbz+mTJkyQLWy5Wn06NFMmjSpX7fhwMUGsykRcWz++6Lcc3KopCX+KySNAL4MnBYRB+XkaZIeBH4J7AacK2kn4MPAlyLiR4Uizq6qgKR3An8Efgt0RMRzTfJ1AB0AI0eO7OVumq0YykFLT+lmy8KBiw1mvym9PhP4DPD6irxbA6sCZ1SscyqwPXAu8B4ggFa+/n0UGAecEBHjl5YxIiYDkwHGjBkTLZRtJf39Lc36X3t7O93d3Uukjxo1ihkzZiz/CtkKyXNcbDD7X5PXG1TkHZGf7ysmRsSzwNzC8jWBeS0O93wYWEAKfMysB52dnbS1tS2W1tbWRmdn5wDVyFZEDlxsMFu3yet7KvLOy8/rFRPzvWDWJAUvAA8BIyS9pIXtdwD/AmYsbeKumSVjx45l8uTJjBo1CkmMGjWKyZMnM3bs2IGumq1AHLjYYLZn6fXewBPAPyvyzgQW5jxFe5GGRC/Lry8CRBpy6sljpEnBdwKXStqstWqbDV1jx45lzpw5LFq0iDlz5jhosT7nOS42mH02X/58LSmA+AwwMSIekbRYxoiYJ+kEYLykJ4ELgM2Ao4ErgfNzvksl/R44QdKGwHRgZdJVRedHxIxSuY9Lem9e/1JJ74yIm/ttj83MbKnc42KD2e7Au0mTavchBSHfXkr+CaQri94H/An4GnA6sGvhUmhIvTITSZdEn0u65HoLSvNjGiLiCWAX0rDRdElVk4PNzGw5UIQvgDDrS2PGjIlZs2YNdDXMzGpF0nURMaanfO5xMTMzs9pw4GJmZma14cDFzMzMasOBi5mZmdWGAxczMzOrDQcuZmZmVhsOXMzMzKw2HLiYmZlZbThwMTMzs9pw4GJmZma14cDFzMzMasOBi5mZmdWGAxczMzOrDQcuZmZmVhsOXMzMzKw2HLiYmZlZbThwMTMzs9pw4GJmZma14cDFzMzMasOBi5mZmdWGAxczMzOrDQcuZmZmVhsOXMzMzKw2HLiYmZlZbThwMTMzs9pw4GJmZma14cDFzMzMasOBi5mZmdWGAxczMzOrDQcuZmZmVhsOXMzMzKw2HLiYmZlZbThwMTMzs9pw4GJmZma14cDFzMzMasOBi5mZmdWGAxczMzOrDQcuZmZmVhsOXMzMzKw2HLiYmZlZbThwMTMzs9pw4GJmZma14cDFzMzMasOBi5mZmdWGAxczMzOrDQcuZmZmVhsOXMzMzKw2HLiYmZlZbThwMTMzs9pw4GJmZma14cDFzMzMasOBi5mZmdWGAxczMzOrjRUicJE0VdKcwut2SSFp3MDVavkYSvvaikJ7fGag62JmZn1vhQhczMzMbGhw4DKEKVlloOtRN5JWkjR8oOth9dDV1UV7ezvDhg2jvb2drq6uga6SWa0N6sBF0saSfilptqQFku6U9FNJayxjeftIulHSU5IeymW/srD8JEm3l9a5Lg89bFxI65T0gCT1sL2DJF0taZ6kRyTNlLRrKU9jaGN/SUdJui/nPU/Sq0p52yT9RNJcSU9IOhdYLE8P9Zkj6QxJn5Z0C/A0sGuh7O/mtn46P0+QNKyw/g65rh+UdHLer4cl/SCfzLeUdKWkJyXdLGnnijpsL+kSSY/nfNMkvb6UZ0Yu572Sbsjv/fWS3ippuKTv5Haal4cJX1qxu6tIOiG/T/Ml/UlSe0V9Pls6Jk6RNKKUJ/J7/jVJs3O7vaHVdrehq6uri46ODrq7u4kIuru76ejocPBi9iIM9m+N6wN3AwcDDwOvBr4OXAC8rTcFSeoATgbOAsbnsr8DvFXSmyPiCWA6cKCkkRFxVw6QRgMLgJ2ARlCzE3BpREQPm20Hfg7MIbX1+4E/SdolIv5cyjseuAr4NLAOcDzQBWxfyHMysBdwJHAt8G7gV71oBoAd8z4dCTwAzMm9B9OAzYFvA/8Atga+AYwADi2VMQn4Q67LdsARef/eBRwH3JPT/iBpVEQ8BJCDtnOA84F9clmHA1dI+r+I+G9hGxvnsjqBJ4DvAefmx3BgHLBZzvMAcFipjuOBG4BPkdrzO8BFkraIiGdyfY7N+/Yj4KvABsDRwOslvT0iniuUNw64E/gK8CRwb3XzLruDDz6YG264oa+LtQE0c+ZMFi5cuFja/Pnz2W+//ZgyZcoA1cr62+jRo5k0adJAV2OFNagDl4i4HLi88VrSVaTg4QpJb4qI61spR9JKpBPyjIjYu5B+C3AFKVj4ETADCNLJ/TRS0PAY6SS9IzBZ0suAMXl5T/X/SmFbw4BLgNcBBwDlwKU7Ij5eyL82cJyk9SPiXkmbAB8HJkTEsTnbRbk+B7TSDtkawFsi4v7Ctj4BbAtsn9sc4JLcofQtSd+NiAcKZUyPiC/nv/+SA5KDgHdExJW5zPuAG0k9Oo22+iFwWUTsXtj2paSA4FBSgNqwJvD2iLgz5xtGCno2ioh35TzTJG0HfJQlA5fHgd0jYlFe/z/AlcAngVNy78tXgSMj4qhCfRr53g+cXShPwHsiYgEVcmDcATBy5MiqLDYElYOWntLNrGeDOnBRmn/xFdLJZhSwWmHxJkBLgUvOuw4woZgYEVdK6iYFKD+KiHmSbiL1qJyWny8DLgZ+kFfbjtRu03Mdh7H4kFs0vqlLegupZ2NLYG3SyQ/g1oo6nl96/Y/8PJL07f6teTu/KeU7k0LgkoevVqqqTzazGLRk7wW6gau0+NyNi0g9EFuTejoaykHXLcDrGkFLIQ1gw1yv1wKvAb5T2sZ84GpSuxb9pxG0lMqbVrHt90tSqQfsd42gBSAi/irpblJP3Smk3qphQFepPn8jBavbsXjgcmGzoCWXPxmYDDBmzJieeuIq+Rvaiqe9vZ3u7u4l0keNGsWMGTOWf4XMVgCDeo4LcAwwETiD9M19K2CPvGy1JutUacxZuK9i2f2F5ZACkh3z3zsCl+bHupI2z2n3RsR/cp5vAs8UHpcASNow/z0C+ALwdlIAc2GTus8rvW58JWvkbczF+V8pX/n1vqX63FFaXtUG65ACw2dKj2vy8jVL+R8uvX4aeKSYEBFPl+q/Tn4+pWI7u7W4jWbpw1k8WIMl26WRtkGpPrdX1Gf1ivpUtZvZUnV2dtLW1rZYWltbG52dnQNUI7P6G9Q9LsDewOkRcXQjIQ+N9FYjKFivYtl6wKzC60uBQyS9DdiCNCxyv6R/k3pgdsp5GiYDfyq8fjw/vxd4ObBnRNxdqP/in2Kta5w41yUNrVB4XXQeKUBqKPdJV/UGzAVmA3s22fac1qq4VHPz83hSD1bZ0xVpL0a5XRppjUkkjfq8hyWDoeLyhmXqRbGhbezYsQBMmDCBu+66i5EjR9LZ2fl8upn13mAPXNpI34CLPrUM5dxK+ra9N+kbPwCS3k7qaTi+kPdy4DnSnJiHgH/m9Omk3p7RwI8bmSPiXqonajYClOfrL+l1wDakCce99TdgESm4OLaQvncxU0TMZcmTbk8uBD4MPBERt/SUeRndSgqAtijM0elPH5E0sTDHZRvSFVhX5+V/IbXnyIj4y3Kojw1RY8eOdaBi1ocGe+ByIbCvpH+QuvT3IA259EpEPCfpm8DJks4gDT1tQLpi5Tbg1ELeRyX9HXgn8NvCvIlLgQMLf/fkYuBZ4HRJx5OGeo4E7mIZhugi4lZJvwKOyvNqGlcV7dLbsip0kQLCS3JdbwRWIc1J+QDwwYiY/2I2EBEh6UDgnDx36TekwHBd0nt6V0Sc8GK2UfL/gLMlnUyaX3QM6b0+PdfnDknfBU7KE58vA56SXyhzAAASu0lEQVQizcl5N/DziGjlfTYzs+VosAcuXyBNaG0MCF8AfIwX5l60LCImS5pPupLkHNIlthcAh+VLoYsuJQ23TC+lBekEO7uF7d0saSxwFGli6x3A10hDSDv0tv7Z/rneXyEFFtNJVxpdubSVWqjrM/meK18jXRmzEemS3ztIk4b7ZBgnIi7IVwFNIF0m/hLSHKOZpMvU+9IxpEuqpwIvJb1/BzUuhc71+XoeAjwwPwL4L2lu0m19XB8zM+sD6vlWJGbWG2PGjIlZs2b1nNHMzJ4n6bqIGNNTvsF+VZGZmZnZ8xy4mJmZWW04cDEzM7PacOBiZmZmteHAxczMzGrDgYuZmZnVhgMXMzMzqw0HLmZmZlYbDlzMzMysNhy4mJmZWW04cDEzM7PacOBiZmZmteHAxczMzGrDgYuZmZnVhgMXMzMzqw0HLmZmZlYbDlzMzMysNhy4mJmZWW04cDEzM7PacOBiZmZmteHAxczMzGrDgYuZmZnVhgMXMzMzqw0HLmZmZlYbDlzMzMysNhy4mJmZWW04cDEzM7PacOBiZmZmteHAxczMzGrDgYuZmZnVhgMXMzMzqw0HLmZmZlYbDlzMzMysNhy4mJmZWW04cDEzM7PacOBiZmZmteHAxczMzGrDgYuZmZnVhgMXMzMzqw0HLmZmZlYbDlzMzMysNhy4mJmZWW04cDEzM7PacOBiZmZmteHAxczMzGrDgYuZmZnVhgMXMzMzqw0HLmZmZlYbDlzMzMysNhy4mJmZWW04cDEzM7PacOBiZmZmteHAxczMzGqjzwIXSVMlzSm8bpcUksb11TYGq4HcV0kTJe3UJD0Kj4WS/iXpq5JW2IC1sN/DB7ouZmbW91bYE9gQ8i1gicClYFvgbcCHgH8C3wMOWQ71MjMz63MOXFZ8f4uImRFxAbA3cCvw2QGuU61JWnWg62Arvq6uLtrb2xk2bBjt7e10dXUNdJXMBoUeAxdJG0v6paTZkhZIulPSTyWtsSwblLSPpBslPSXpoVz2KwvLT5J0e2md63L3/8aFtE5JD0hSD9s7SNLVkuZJekTSTEm7lvI0hnr2l3SUpPty3vMkvaqUt03STyTNlfSEpHOBxfL0UJ85ks6QtLekf0t6UtIsSdsuQ1tF/nNCYUhoYrNtR8Qi4EZgZMW23ijpXEkP5/f5r5LeUcozVdLdksZIuirnu7XRnpK+nPfvMUnnSFq7tP5wSeMl3ZKHru6VdLyk1Qp5Gu/FAZKOkXS/pMdzm7Xl43FabvvbJe3bZHc3k3SppPn5/TyqPEQmaa18LN+T63OLpI5SnnG5PttJ+q2kR4C/NWtjs77Q1dVFR0cH3d3dRATd3d10dHQ4eDEDWpkHsD5wN3Aw8DDwauDrwAWkIYiW5ZPCycBZwPhc9neAt0p6c0Q8AUwHDpQ0MiLuygHSaGABaUikEdTsBFwaEVHeTkk78HNgDml/3w/8SdIuEfHnUt7xwFXAp4F1gOOBLmD7Qp6Tgb2AI4FrgXcDv+pFMwC8A9gE+AbwFPDtXKf2iHgEWm6rtwFXA1NzXkjv1dK0A3cUEyS9GbgCuJ7UGzMfOAC4WNLbI+K6QvbVgdOB7wP3AhOA30v6MfA64EBgXWAS8GNgz8K6Z5Da/7ukdt4s73s78OFSPccDM4B9gc1JQ1yLgDcBU/L2PwecKmlWRNxcWv9s4BfAMcDOpLZeBEzM+7w68FfgJTltds73U0mrRsSJpfK6gF8DH6G1/5sBc/DBB3PDDTcMdDXsRZg5cyYLFy5cLG3+/Pnst99+TJkyZYBqZX1t9OjRTJo0aaCrUTs9fgBHxOXA5Y3Xkq4iBQ9XSHpTRFzfyoYkrUQ6Sc2IiL0L6beQTpqfBn5EOlkFsCNwGiloeAz4Q06bLOllwJi8vKf6f6WwrWHAJaQT7AFAOXDpjoiPF/KvDRwnaf2IuFfSJsDHgQkRcWzOdlGuzwGttEO2OjA6Ih7O27mfFATtAvyq1baKiJm5w+meiJjZZFsr5TxrAJ8B3kI6+RYdB9wF7BQRT+dtTSPNifkG8MFC3v8HHJCPCyTdS+rF2Q3YPCKey+mvB74gaaWIeC733uwF7BsRp+eyLpY0DzhD0uiIKJ5t74iIRm/KtLz+J4BPRMQZeRuzgA/k/SkHLlNK79HqwKGSJuXg8EvAKOANEXFboT6vAL4l6acR8WyhvN9FxGGVLczzgWYHwMiRS3RomfVKOWjpKd1sKOkxcJG0CvAV4JOkD/rVCos3IX1Lb8UmpF6MCcXEiLhSUjcpQPlRRMyTdBOpR+W0/HwZcDHwg7zadrnu03Mdh7H4sFcUTqBvIfWObAmsDTSGlm6tqOP5pdf/yM8jSb0Lb83b+U0p35kUAhelSGGlqvpkVzeClortQIttVVH/Kk+VXh8WEWcX6vqSXN53gEVa/Gqci4GxpfWfbAQt2S2NvKV9vIX0Hr2S1Av0XuBpUu9McRsX5eftgGLgUg4qG9uZ1kiIiIclPQBsyJKq3qPPAK8Hrsz1+Rswu1SfaTnf5sBNhfQ/VmzjeRExGZgMMGbMmJ56AfuVv8HVX3t7O93d3Uukjxo1ihkzZiz/CpkNIq1Mzj2G1JV+BrArsBWwR162WpN1qozIz/dVLLu/sBxSQLJj/ntH4NL8WFfS5jnt3oj4T87zTeCZwuMSAEkb5r9HAF8A3k4KYC5sUvd5pdeNrzeNvI35Jf8r5Su/3rdUnztKyxfbTkSUt9ObturJ1qT37EPA34FjJe1QWD6CFGR9o1TnZ4CDgDVKc0MeKdX96fxnMRCDFKTAC/u0DrAK8ERpGw/k5WuW1m9WXlV61XvZ7D3aoFCf7Vhyn3/bpD5V74VZv+js7KStrW2xtLa2Njo7OweoRmaDRytj9XsDp0fE0Y2EPDTSW42T9XoVy9YDZhVeXwocIultwBbA9Ii4X9K/ST0wO+U8DZOBPxVeP56f3wu8HNgzIp6f+yFp8U+E1jVOXusCdxbS1y3lO48UIDX0tn+3N23Vk+vykMe1kq4g9TSdKOmNebLuI6S5Hz8mzV1ZQs73Ys0l9f68o8nye/tgG0XN3qN7CvV5gDRkVKXcIzegvSg2tIwdmzo6J0yYwF133cXIkSPp7Ox8Pt1sKGslcGkjfRMt+tQybOtW0rfevYFTGomS3k4agjq+kPdy4DnSPI+HSHMtIPXE7EGarPvjRuaIuJfqE18jQHm+/pJeB2xDz5NYq/yNdJLfEzi2kL53MVNEzCWdGJdVb9rqadIE0x5FxFxJRwE/JE2G/W1EPJkDmjcCf++jIKXKhcDhwMsj4pJ+2kZR1Xv0BC8cSxeSeuHuiogHMBtkxo4d60DFrEIrgcuFwL6S/kGalLsHacilV/IEzW8CJ0s6gzT0tAHQCdwGnFrI+6ikvwPvJJ1cG992LyVdtdL4uycXA88Cp0s6njTUcyRpImqv72ETEbdK+hXQuLS2cVXRLr0tq4fttNxWwL+AXSVdSBpGuTcHcs2cDHwVOELS73LbfpkULE6TdAqpZ2kt4M3AShHxtT7YpxmSfg38TtIJwDWkILCd1H6HF4b++sJnC+/RzqR5KxMbV22R5kvtRZpk/gNSsPhSYFPgHRGxex/WxczM+kgrJ+8vAOeSTppnka4q+diybCxPYPwE8AbgHNIlrn8Bts+X9xY1ApPppbQgXf0zu4Xt3UyaXDoq78NhwNcoXCW1DPYn9YJ8hTRhc1PSlUZ9qhdtdRDwJGl46lrylS1LKXchqSfr/8hXC0XE30lDW3NJk34vIvXKvIEX11Zl+5DmS32EtE+/y/W/jSXnpLxYu5OCynPzdo8m7TeQgmNSAH4BqSdoGuny6d1pLSg2M7MBoJ5vg2JmvTFmzJiYNas305DMzEzSdRExpqd8vuW/mZmZ1YYDFzMzM6sNDxWZ9TFJDwJL3j2subVIV89Z33K79g+3a/9wu8KoiFi7p0wOXMwGWP6tpR7Hda133K79w+3aP9yurfNQkZmZmdWGAxczMzOrDQcuZgNv8kBXYAXldu0fbtf+4XZtkee4mJmZWW24x8XMzMxqw4GLmZmZ1YYDF7NlIOlVkk6UdLWk+ZJCUnspzxhJkyXdkvPcJalL0kY9lP2xXF7lL5hL+mwuc6GkWyUd0Hd7NrD6o10lbSDpF5Luz202W9IxFfncri22q6Q1Jf1Q0p2SFuQ2PUnSEvfgkPRBSddLekpSt6QjJK3Uf3u7/LTYrqMknZP3fYGkhyTNkPS+ivJWk3ScpPty3qslbVeRb5ik8ZLm5Ha9UdKH+29PBxcHLmbLZmNgT9Ivcl/RJM/ewBakH658H+kHPt8MzJK0YdUKkl5B+uXq+5ss/yzpF75/D7wX+C3wE0mfW+Y9GVz6tF3zSeQa4HXAF4H3kH7o89lSPrdri+0qSaQfL/04cFzOexzpx3fPzcsbeXcmtem1Od8PgSOA7/Thvg2kVtr1ZaQbyx0B7ALsBzwBXCBpj1LeU4DPAt8EdgPuA6ZJGl3K923ScXwSqV1nAr+VtMuL3J96iAg//PCjlw9gWOHvz5B+tby9lGftivVGAYuAo5qUO5n0S9VTgbtLy4YDDwCnldJ/QfpgXHmg22WwtStwISlwado2btfetSspCAygo5T3gJy+SSHteuCyUr5vAk8D6w10uyyPdl3KMfdf4LxC2hvz+p8q5bsVOLeQtg6wEDiyVOYlwE0D3SbL4+EeF7NlEBGLWsjzYEVaN/AgsEF5maRtgH2AA5sU+TZgbeCMUvovgTWBbXuq02DXl+0q6TXAzsCJEfHMUop0u9Kr43WV/PxYKfsj+XkYQO6lGU11u65M6imotVbatcl6zwKPAsXj8gP59VmlfGcCO0taNSfvTHoPyu16BvCGnoaiVwQOXMyWI0mbkb4x/buUvjKpt+W4iLi9yepb5Od/ltJvzs+b91U966ZJu26TnxdI+kueu/KwpNMlrVnI53Ztokm73gxcDnwjz4t5maStSD0pf46IRt7Kdo2I2cB8hli75nkpwyWtJ+kbpJ6rHxeybAHMjoj5pVVvJgUqGxfyLQTKnxND5nh14GK2nEgaDvyM9A32lNLiw4FVgSUmjRaMyM8Pl9LnlZYPKUtp1/Xz8y+A/5C+4R8O7EqaN9D4/HO7VmjWrpHGJXYhDWFcCzwO/A24EyhOEG3Wro20odau3yP1qNwHHAbsHRGXFJaPoLqtysfhCOCR/D4sLd8Ka/hAV8BsCDkJeDuwa0Q8/wElaWNgAvChiHhqKes3Jj36rpGLq2xXXvhiNiMiGsNv0yU9Su5+B/6M27WZZu0KMAXYmjSv5d/AZsCRwO8kvT8PoSytXVWRtqKbRDru1gM+CfxK0kci4k95uWitrVrNt8Jy4GK2HOTLbzuAfSPiotLiHwHTgZn5qiJIXcPKrxdGxAIW/0Z1X2H9xjeseQwxPbTr3Pz8l1J6I9+bSIGL27Vkae0qaVfSFUTvKvQYXC7pTlLbvh84h6X3ALyCIdauEXE30LjFwZ8kzQC+DzQCl3nAyIpV1ygsbzyvIUmlXpdyvhWWh4rM+pmkCaRLS78UEb+syLI5qev94cLjY6Shjod5YfioMYa9RcX6AP/qw2oPei20a6O9mvWkLCrlc7vSUru+IT9fW0q/Jj9vlp8r2zVfot7GEGvXCrN4Yd4KpPbaSFJbKd/mpKuwbi/kWxV4TUU+GALt6sDFrB9J+iJwNDAhIk5skm1vYMfSYxrpUtwdSV32AFfntLGl9fchfcv6a59WfhBrsV1nku6H895SeuN148Trds1abNfGPYa2KqW/NT/fAxARdwE3Ut2uz5B6u4akPL9qW+COQvK5pKutPlrINxzYC7goIhbm5AtJgUxVu/4zT35eoXmoyGwZSfpI/vMt+fl9kh4EHoyIyyTtTRrXvpA0t2LrwuqPRcS/ACJiZkXZ40hDRDMaaRHxTL4a4SeS7gEuBnYCPg18ISKe7tMdHCB92K7PSvoaMFXSz4A/kL7hdgIzSMNzbtdetiupHTuB0yV9G7gF2BT4FuneJH8srPd10rDIycCvScNzRwA/jIjKmyzWTQvtOpE0XPZXUtC3HukmdFuRbuIHQETcIOksYFK+ynA28DlgIwpBSkQ8IOkHwHhJjwN/JwU3OwG799uODiYDfSMZP/yo64M0BFH1mJGXT+0pz1LKnkrpBnSFZfuTrpJZCNwGfH6g22IwtyvwCdIluQtJc1hOBF7mdl32dgU2JF1pNBt4Kj9PATao2O4epJ6XhcBdpMumVxro9liO7foBUpD8QG6DblLvyjYVZb0EOIEU4DxFulprh4p8K5ECwO5c5k3ARwa6LZbXQ7kRzMzMzAY9z3ExMzOz2nDgYmZmZrXhwMXMzMxqw4GLmZmZ1YYDFzMzM6sNBy5mZmZWGw5czMzMrDYcuJiZmVlt/H8yF8uDt6bRmwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "au.plot_pctiles(br_boots_uridf, pct=.95, title='Bootstrap mean(URIs) by branch')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "au.plot_pctiles(uri_sub_ctrl, title='95% CI for branch - control')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "au.plot_pctiles(br_boots_uri_med_df, pct=.95, title='Bootstrap median(URIs) by branch')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "au.plot_pctiles(uri_sub_ctrl_med, pct=.95, title='Bootstrap median(URIs) by branch\\n: Difference from control')\n",
    "au.add_vline(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- what story explains this?\n",
    "    - Goes against my naive hypothesis that notRemember would behave like popups"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Auto Block vs Prompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "au.plot_pctiles(uri_sub_block, title='95% CI for branch - block')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": false
   },
   "source": [
    "### Remember or not by default"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "au.plot_pctiles(uri_sub_rem, title='95% CI for branch - remember')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "for cc in br_boots_uri:\n",
    "    sns.kdeplot(br_boots_uri[cc], label=cc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 6))\n",
    "\n",
    "for cc in br_boots_uri_med:\n",
    "    sns.kdeplot(br_boots_uri_med[cc], label=cc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "toc-hr-collapsed": false
   },
   "source": [
    "# Run code\n",
    "- [Go to Summary](#Summary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Automatic calling is: Smart\n"
     ]
    }
   ],
   "source": [
    "from boot_utes import (reload, add_path, path)\n",
    "add_path('..', '../src/', '~/repos/myutils/', )\n",
    "\n",
    "import sub_utils.learn_utils as ln\n",
    "from utils.apb_imps import *\n",
    "import utils.ping_utils as pg\n",
    "import utils.apb_utils as au\n",
    "exec(pu.DFCols_str)\n",
    "\n",
    "run_magics()\n",
    "plt.rcParams.update({'font.size': 16})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams.update({'font.size': 16})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import mystan as ms\n",
    "import utils.stan_utility as su\n",
    "import arviz as az;\n",
    "\n",
    "loc_prompt = '../data/interim/all_prompts.pq'\n",
    "loc_cts = '../data/interim/counts_all.pq'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 2. \\# of pageviews: Doorhanger vs automatically blocking everything"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4.29 s, sys: 565 ms, total: 4.86 s\n",
      "Wall time: 5.21 s\n",
      "CPU times: user 3.09 s, sys: 1.02 s, total: 4.1 s\n",
      "Wall time: 4.16 s\n"
     ]
    }
   ],
   "source": [
    "%time df_cts = fastparquet.ParquetFile(loc_cts).to_pandas()\n",
    "df_cts = pg.dedupe_cts(df_cts)\n",
    "%time df_ctsr = pg.reduce_counts(df_cts)\n",
    "df_ctsr = pg.clip_ms(df_ctsr, pg.ct_cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 8.98 s, sys: 41.4 ms, total: 9.02 s\n",
      "Wall time: 9.05 s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "boots_tot_am = DataFrame(OrderedDict([\n",
    "    (br, au.bootstrap_mean(gdf.Total_pages_am.values, niters=4_000))\n",
    "    for br, gdf in df_ctsr.groupby(c.Branch)\n",
    "]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 9.45 s, sys: 67.3 ms, total: 9.52 s\n",
      "Wall time: 9.54 s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "boots_tot = DataFrame(OrderedDict([\n",
    "    (br, au.bootstrap_mean(gdf.Total_pages.values, niters=4_000))\n",
    "    for br, gdf in df_ctsr.groupby(c.Branch)\n",
    "]))\n",
    "boots_tot = DataFrame(boots_tot_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 3. “Remember this decision” checked\n",
    "- More users leave the checkbox unchanged compared to `“Remember this decision” unchecked`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.66 s, sys: 1.01 s, total: 3.67 s\n",
      "Wall time: 3.69 s\n"
     ]
    }
   ],
   "source": [
    "%time df_prompt = pd.read_parquet(loc_prompt, engine='fastparquet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_prompt = au.clip_ms(df_prompt, ms=['Responsetime'], pct=.999)\n",
    "# df_prompt['Default_action'] = default_rem(df_prompt)\n",
    "N_cid = df_prompt.Clientid.nunique()\n",
    "df_prompt_fst = pg.get_first_client_action(df_prompt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Default_action</th>\n",
       "      <th>Different</th>\n",
       "      <th>Default</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Branch</th>\n",
       "      <th>Allowautoplay</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">allow-and-notRemember</th>\n",
       "      <th>0.0</th>\n",
       "      <td>4,567</td>\n",
       "      <td>128,848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>6,549</td>\n",
       "      <td>51,668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">allow-and-remember</th>\n",
       "      <th>0.0</th>\n",
       "      <td>14,104</td>\n",
       "      <td>116,162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>6,096</td>\n",
       "      <td>45,336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Default_action                      Different  Default\n",
       "Branch                Allowautoplay                   \n",
       "allow-and-notRemember 0.0               4,567  128,848\n",
       "                      1.0               6,549   51,668\n",
       "allow-and-remember    0.0              14,104  116,162\n",
       "                      1.0               6,096   45,336"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def_prmpt_cts = (\n",
    "    df_prompt_fst.query(\"Branch != 'block'\").groupby([c.Branch, c.Allowautoplay, c.Default_action])\n",
    "    .size().unstack().fillna(0)\n",
    "    .rename(columns={0: 'Different', 1: 'Default'}, index={})\n",
    ")\n",
    "def_prmpt_cts.applymap('{:,.0f}'.format)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Allowautoplay</th>\n",
       "      <th>Block</th>\n",
       "      <th>Play</th>\n",
       "      <th>Tot</th>\n",
       "      <th>Pct_block</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Branch</th>\n",
       "      <th>Default_action</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">allow-and-notRemember</th>\n",
       "      <th>0.0</th>\n",
       "      <td>4,567</td>\n",
       "      <td>6,549</td>\n",
       "      <td>11,116</td>\n",
       "      <td>41.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>128,848</td>\n",
       "      <td>51,668</td>\n",
       "      <td>180,516</td>\n",
       "      <td>71.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">allow-and-remember</th>\n",
       "      <th>0.0</th>\n",
       "      <td>14,104</td>\n",
       "      <td>6,096</td>\n",
       "      <td>20,200</td>\n",
       "      <td>69.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>116,162</td>\n",
       "      <td>45,336</td>\n",
       "      <td>161,498</td>\n",
       "      <td>71.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Allowautoplay                           Block    Play      Tot  Pct_block\n",
       "Branch                Default_action                                     \n",
       "allow-and-notRemember 0.0               4,567   6,549   11,116       41.1\n",
       "                      1.0             128,848  51,668  180,516       71.4\n",
       "allow-and-remember    0.0              14,104   6,096   20,200       69.8\n",
       "                      1.0             116,162  45,336  161,498       71.9"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_sz = (\n",
    "    df_prompt_fst.query(\"Branch != 'block'\").groupby([c.Branch, c.Default_action, c.Allowautoplay])\n",
    "    .size()\n",
    ")\n",
    "\n",
    "def_prmpt_cts_block = (\n",
    "    _sz.unstack().fillna(0)\n",
    "    .rename(columns={0: 'Block', 1: 'Play'}, index={})\n",
    "    .assign(Tot=lambda x: x.eval('Block + Play'))\n",
    "    .assign(Pct_block=lambda x: x.Block.div(x.Tot).mul(100).round(1))\n",
    ")\n",
    "\n",
    "au.fmt_ints_com(def_prmpt_cts_block)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using cached StanModel\n"
     ]
    }
   ],
   "source": [
    "defmod = ms.StanModel_cache('../models/binom_default.stan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "def_data = dict(\n",
    "    N=len(def_prmpt_cts),\n",
    "    Ndiff=def_prmpt_cts.Different,\n",
    "    Ndefault=def_prmpt_cts.Default\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Inference for Stan model: anon_model_fcb332794648b2d454c66ffcbd488acb.\n",
       "4 chains, each with iter=2000; warmup=1000; thin=1; \n",
       "post-warmup draws per chain=1000, total post-warmup draws=4000.\n",
       "\n",
       "             mean se_mean     sd   2.5%    25%    50%    75%  97.5%  n_eff   Rhat\n",
       "theta_n[1]   0.97  7.1e-6 4.9e-4   0.96   0.97   0.97   0.97   0.97   4891    1.0\n",
       "theta_n[2]   0.89  2.0e-5 1.3e-3   0.88   0.89   0.89   0.89   0.89   4105    1.0\n",
       "theta_n[3]   0.89  1.2e-5 8.6e-4   0.89   0.89   0.89   0.89   0.89   4952    1.0\n",
       "theta_n[4]   0.88  2.1e-5 1.4e-3   0.88   0.88   0.88   0.88   0.88   4409    1.0\n",
       "a[1]         5.67    0.06   3.25   0.73   3.13   5.22   7.81  12.98   3370    1.0\n",
       "a[2]         5.93    0.06   3.27   0.83   3.51   5.44   8.02  13.23   3047    1.0\n",
       "a[3]         5.81    0.05   3.25    0.9   3.29   5.45   7.86  12.88   4115    1.0\n",
       "a[4]         5.93    0.05   3.21    0.9   3.52   5.53   7.98  13.19   3463    1.0\n",
       "b[1]         0.91  9.8e-3   0.63   0.11   0.44   0.77   1.23   2.49   4165    1.0\n",
       "b[2]         1.62    0.02   1.04   0.21   0.84    1.4   2.19   4.16   3315    1.0\n",
       "b[3]         1.57    0.02   1.02    0.2   0.82   1.38   2.12   4.04   4355    1.0\n",
       "b[4]         1.71    0.02   1.09   0.27   0.89   1.49    2.3   4.42   3762    1.0\n",
       "lp__       -1.0e5    0.07   2.68 -1.0e5 -1.0e5 -1.0e5 -1.0e5 -1.0e5   1359    1.0\n",
       "\n",
       "Samples were drawn using NUTS at Tue Nov 27 12:47:17 2018.\n",
       "For each parameter, n_eff is a crude measure of effective sample size,\n",
       "and Rhat is the potential scale reduction factor on split chains (at \n",
       "convergence, Rhat=1)."
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def_samp_ = defmod.sampling(data=def_data)\n",
    "def_samp_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "def_theta = def_samp_.extract(pars=['theta_n'])['theta_n']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0.05</th>\n",
       "      <th>0.5</th>\n",
       "      <th>0.95</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>allow-and-notRemember: block</th>\n",
       "      <td>96.49</td>\n",
       "      <td>96.58</td>\n",
       "      <td>96.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>allow-and-notRemember: allow</th>\n",
       "      <td>88.54</td>\n",
       "      <td>88.75</td>\n",
       "      <td>88.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>allow-and-remember: block</th>\n",
       "      <td>89.03</td>\n",
       "      <td>89.17</td>\n",
       "      <td>89.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>allow-and-remember: allow</th>\n",
       "      <td>87.91</td>\n",
       "      <td>88.15</td>\n",
       "      <td>88.38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               0.05   0.50   0.95\n",
       "allow-and-notRemember: block  96.49  96.58  96.66\n",
       "allow-and-notRemember: allow  88.54  88.75  88.97\n",
       "allow-and-remember: block     89.03  89.17  89.31\n",
       "allow-and-remember: allow     87.91  88.15  88.38"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def_pars_df.quantile([.05, .5, .95]).T.mul(100).round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "def_labs = [\n",
    "    '{}: {}'.format(branch, 'allow' if allowi else 'block')\n",
    "    for branch, allowi in def_prmpt_cts.index\n",
    "]\n",
    "\n",
    "def_pars_dct = OrderedDict([\n",
    "    (lab, def_theta[:, i])\n",
    "    for i, lab in enumerate(def_labs)\n",
    "])\n",
    "def_pars_df = DataFrame(def_pars_dct)[[\n",
    "    'allow-and-notRemember: block',\n",
    "    'allow-and-remember: block',\n",
    "    'allow-and-notRemember: allow',\n",
    "    'allow-and-remember: allow',\n",
    "]]\n",
    "def_pars_df_diff = (\n",
    "    def_pars_df.assign(**{\n",
    "        'Forget - Remember: play': lambda x: x['allow-and-notRemember: allow'] - x['allow-and-remember: allow'],\n",
    "        'Forget - Remember: block': lambda x: x['allow-and-notRemember: block'] - x['allow-and-remember: block'],\n",
    "        }\n",
    "    ).iloc[:, -2:]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>allow-and-notRemember: block</th>\n",
       "      <th>allow-and-remember: block</th>\n",
       "      <th>allow-and-notRemember: allow</th>\n",
       "      <th>allow-and-remember: allow</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.965896</td>\n",
       "      <td>0.891322</td>\n",
       "      <td>0.890123</td>\n",
       "      <td>0.880865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.966464</td>\n",
       "      <td>0.891815</td>\n",
       "      <td>0.886951</td>\n",
       "      <td>0.880695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.966568</td>\n",
       "      <td>0.889934</td>\n",
       "      <td>0.891158</td>\n",
       "      <td>0.879883</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   allow-and-notRemember: block  allow-and-remember: block  allow-and-notRemember: allow  allow-and-remember: allow\n",
       "0                      0.965896                   0.891322                      0.890123                   0.880865\n",
       "1                      0.966464                   0.891815                      0.886951                   0.880695\n",
       "2                      0.966568                   0.889934                      0.891158                   0.879883"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def_pars_df[:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 4. No regress on retention with a 5% margin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 850 ms, sys: 66.2 ms, total: 916 ms\n",
      "Wall time: 950 ms\n"
     ]
    }
   ],
   "source": [
    "loc_ret = '../data/raw/cid_ret_1126.pq'\n",
    "%time dfr = fastparquet.ParquetFile(loc_ret).to_pandas()\n",
    "dfr = pg.process_ret(dfr, clip=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "ret_brch = (\n",
    "    dfr.groupby(['Branch', c.Retain]).size().unstack().fillna(0)\n",
    "    .assign(Tot=lambda x: x['Churned'] + x['Returned'])\n",
    "    .assign(Emp_mean=lambda x: x.Returned / x.Tot)\n",
    "    \n",
    ")\n",
    "i2branch = dict(zip(count(), ret_brch.index))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using cached StanModel\n"
     ]
    }
   ],
   "source": [
    "retm = ms.StanModel_cache('../models/binom_ret.stan')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "rdata = dict(\n",
    "    K=4,\n",
    "    nret=ret_brch.Returned,\n",
    "    ntot=ret_brch.Tot,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "rsamp_ = retm.sampling(data=rdata)\n",
    "od = rsamp_.extract(permuted=True)\n",
    "rsamp = DataFrame(od['theta_k'], columns=ret_brch.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Inference for Stan model: anon_model_8d2149a00b000e46271fe1223030562a.\n",
       "4 chains, each with iter=2000; warmup=1000; thin=1; \n",
       "post-warmup draws per chain=1000, total post-warmup draws=4000.\n",
       "\n",
       "             mean se_mean     sd   2.5%    25%    50%    75%  97.5%  n_eff   Rhat\n",
       "theta_k[1]   0.79  1.6e-5 1.1e-3   0.78   0.79   0.79   0.79   0.79   4682    1.0\n",
       "theta_k[2]   0.79  1.6e-5 1.1e-3   0.78   0.78   0.79   0.79   0.79   4489    1.0\n",
       "theta_k[3]   0.79  1.6e-5 1.1e-3   0.78   0.79   0.79   0.79   0.79   4882    1.0\n",
       "theta_k[4]   0.79  1.7e-5 1.1e-3   0.78   0.78   0.79   0.79   0.79   4389    1.0\n",
       "lp__       -2.9e5    0.03   1.42 -2.9e5 -2.9e5 -2.9e5 -2.9e5 -2.9e5   2044    1.0\n",
       "\n",
       "Samples were drawn using NUTS at Tue Nov 27 10:46:03 2018.\n",
       "For each parameter, n_eff is a crude measure of effective sample size,\n",
       "and Rhat is the potential scale reduction factor on split chains (at \n",
       "convergence, Rhat=1)."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rsamp_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rsamps = rsamp.stack().reset_index(drop=0).rename(columns={0: 'Theta'}).drop(c.level_0, axis=1)\n",
    "# kdeplot_branch(samps, valname='Theta', title='Estimates for θ')\n",
    "# ln.prob_x_gt_y(samp['allow-and-notRemember'], samp['allow-and-remember'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Difference from control"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "ret_sub_ctrl = rsamp.sub(rsamp['control'], axis=0).drop('control', axis=1)\n",
    "ret_sub_ctrl_stk = ret_sub_ctrl.stack().reset_index(drop=0).rename(columns={0: 'Theta_diff'}).drop(c.level_0, axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 5. Usage metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "boot = au.mkboot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 25.5 s, sys: 320 ms, total: 25.8 s\n",
      "Wall time: 25.8 s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "br_boots_uri = OrderedDict([\n",
    "    (br, boot(gdf.Muri.values, niters=4_000))\n",
    "    for br, gdf in dfr.groupby(c.Branch)\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 38.7 s, sys: 403 ms, total: 39.1 s\n",
      "Wall time: 39.3 s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "br_boots_uri_med = OrderedDict([\n",
    "    (br, au.bootstrap_median(gdf.Muri.values, niters=4_000))\n",
    "    for br, gdf in dfr.groupby(c.Branch)\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sub_col(df, subcol, drop=[]):\n",
    "    df = df.sub(df[subcol], axis=0)\n",
    "    if drop:\n",
    "        df = df.drop(drop, axis=1)\n",
    "    else:\n",
    "        df = df.drop([subcol], axis=1)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "uri_br_boots_df = DataFrame(br_boots_uri)\n",
    "br_boots_uri_med_df = DataFrame(br_boots_uri_med)\n",
    "\n",
    "# Difference from control\n",
    "# uri_sub_ctrl = uri_br_boots_df.sub(uri_br_boots_df['control'], axis=0).drop(['control'], axis=1)\n",
    "uri_sub_ctrl = sub_col(uri_br_boots_df, 'control')\n",
    "uri_sub_ctrl_med = sub_col(br_boots_uri_med_df, 'control')\n",
    "\n",
    "# Difference from block\n",
    "# uri_sub_block = uri_br_boots_df.sub(uri_br_boots_df['block'], axis=0).drop(['control', 'block'], axis=1)\n",
    "uri_sub_block = sub_col(uri_br_boots_df, 'block', drop=['control', 'block'])\n",
    "\n",
    "# Difference between remember\n",
    "# uri_sub_rem = uri_br_boots_df.sub(uri_br_boots_df['allow-and-remember'], axis=0)[['allow-and-notRemember']]\n",
    "uri_sub_rem = sub_col(uri_br_boots_df, 'allow-and-remember')[['allow-and-notRemember']]"
   ]
  }
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