{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How many responses per contest?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook will analyze the number of responses/captions per contest, both treating all contest equally and throughout time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-17T16:45:18.366875Z",
     "start_time": "2017-04-17T11:45:18.364200-05:00"
    }
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import sys\n",
    "from pathlib import Path\n",
    "p = Path(\".\").absolute()\n",
    "root = p.parent.parent\n",
    "sys.path.append(str(root))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2017-04-17T16:45:18.366875Z",
     "start_time": "2017-04-17T11:45:18.364200-05:00"
    }
   },
   "outputs": [],
   "source": [
    "import caption_contest_data as ccd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'509-round1_summary_LilUCB.csv', 520, 521, 522, 523, 524, '559_summary_KLUCB.csv', 526, 527, 528, 529, 530, '511_summary_LilUCB.csv', '517_summary_LilUCB.csv', 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 552, 553, 554, 555, 557, 558, 551, 556, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, '514_summary_RoundRobin.csv', 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, '512_summary_RoundRobin.csv', 634, 635, 636, '513_summary_RoundRobin.csv', 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, '508-round1_summary_RoundRobin.csv', 665, 666, 667, 668, '508-round1_summary_LilUCB.csv', '515_summary_RoundRobin.csv', 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, '517_summary_RoundRobin.csv', '513_summary_LilUCB.csv', '559_summary_LilUCB.csv', '560_summary_KLUCB_funny.csv', '508-round2_summary_RoundRobin.csv', '514_summary_LilUCB.csv', '509-round2_summary_RoundRobin.csv', '515_summary_LilUCB.csv', '510_summary_LilUCB.csv', '516_summary_LilUCB.csv', '511_summary_RoundRobin.csv', '510_summary_RoundRobin.csv', '512_summary_LilUCB.csv', '518_summary_LilUCB.csv', '560_summary_KLUCB_original.csv', '519_summary_RoundRobin.csv', '559_summary_RandomSamping.csv', '519_summary_LilUCB.csv', '509-round1_summary_RoundRobin.csv', '518_summary_RoundRobin.csv', '516_summary_RoundRobin.csv'}\n"
     ]
    }
   ],
   "source": [
    "contests = ccd.summary_ids()\n",
    "print(contests)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "193"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(contests)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "summaries = [ccd.summary(c) for c in contests]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "summary = pd.concat(summaries, sort=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>target_id</th>\n",
       "      <th>rank</th>\n",
       "      <th>funny</th>\n",
       "      <th>somewhat_funny</th>\n",
       "      <th>unfunny</th>\n",
       "      <th>count</th>\n",
       "      <th>score</th>\n",
       "      <th>precision</th>\n",
       "      <th>contest</th>\n",
       "      <th>caption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6785.0</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>18</td>\n",
       "      <td>12</td>\n",
       "      <td>52</td>\n",
       "      <td>2.192308</td>\n",
       "      <td>0.109979</td>\n",
       "      <td>509</td>\n",
       "      <td>I recommend the trout.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3197.0</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>7</td>\n",
       "      <td>23</td>\n",
       "      <td>1.913043</td>\n",
       "      <td>0.152878</td>\n",
       "      <td>509</td>\n",
       "      <td>May I recommend the trout?</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>469.0</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>22</td>\n",
       "      <td>1.863636</td>\n",
       "      <td>0.165085</td>\n",
       "      <td>509</td>\n",
       "      <td>On second thought, maybe we should just go wit...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1800.0</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>19</td>\n",
       "      <td>1.842105</td>\n",
       "      <td>0.191381</td>\n",
       "      <td>509</td>\n",
       "      <td>Take my wife, please!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2317.0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>19</td>\n",
       "      <td>1.789474</td>\n",
       "      <td>0.196146</td>\n",
       "      <td>509</td>\n",
       "      <td>All that work to die a virgin.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   target_id  rank  funny  somewhat_funny  unfunny  count     score  \\\n",
       "0     6785.0     1     22              18       12     52  2.192308   \n",
       "1     3197.0     2      5              11        7     23  1.913043   \n",
       "2      469.0     3      5               9        8     22  1.863636   \n",
       "3     1800.0     4      5               6        8     19  1.842105   \n",
       "4     2317.0     5      5               5        9     19  1.789474   \n",
       "\n",
       "   precision  contest                                            caption  \n",
       "0   0.109979      509                             I recommend the trout.  \n",
       "1   0.152878      509                         May I recommend the trout?  \n",
       "2   0.165085      509  On second thought, maybe we should just go wit...  \n",
       "3   0.191381      509                              Take my wife, please!  \n",
       "4   0.196146      509                     All that work to die a virgin.  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>count</th>\n",
       "      <th>n_unique</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>contest</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>137868</td>\n",
       "      <td>6778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>98241</td>\n",
       "      <td>7858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>82627</td>\n",
       "      <td>3905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>56660</td>\n",
       "      <td>3325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>43120</td>\n",
       "      <td>4399</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          count  n_unique\n",
       "contest                  \n",
       "508      137868      6778\n",
       "509       98241      7858\n",
       "510       82627      3905\n",
       "511       56660      3325\n",
       "512       43120      4399"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "counts = summary.pivot_table(index=\"contest\", values=\"count\", aggfunc=np.sum)\n",
    "nunique = summary.pivot_table(index=\"contest\", values=\"caption\", aggfunc=lambda x: x.nunique())\n",
    "df = pd.merge(counts, nunique, left_index=True, right_index=True)\n",
    "df[\"n_unique\"] = df[\"caption\"]\n",
    "df.drop(columns=\"caption\", inplace=True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([508, 509, 510, 511, 512, 513, 514, 515, 516, 517,\n",
       "            ...\n",
       "            676, 677, 678, 679, 680, 681, 682, 683, 684, 685],\n",
       "           dtype='int64', name='contest', length=176)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'119.157775 million human responses'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"{} million human responses\".format(df[\"count\"].sum() / 1e6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'970327 captions'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"{} captions\".format(df[\"n_unique\"].sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'176 contests'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"{} contests\".format(len(df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Responses (millions)')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 261,
       "width": 392
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "responses = df[\"count\"] / 1e6\n",
    "ax = responses.plot.hist(bins=20)\n",
    "ax.set_xlabel(\"Responses (millions)\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Unique captions')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 261,
       "width": 392
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "responses = df[\"n_unique\"]\n",
    "ax = responses.plot.hist(bins=20)\n",
    "ax.set_xlabel(\"Unique captions\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Number of responses')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 261,
       "width": 387
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.reset_index().plot(x=\"contest\", y=\"count\", style=\"o\")\n",
    "ax.set_yscale(\"log\")\n",
    "ax.grid()\n",
    "ax.grid(which=\"minor\", alpha=0.4)\n",
    "ax.set_ylabel(\"Number of responses\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 261,
       "width": 401
      },
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df.reset_index().plot(x=\"contest\", y=\"n_unique\", style=\"o\")\n",
    "ax.set_ylabel(\"Number of captions\")\n",
    "ax.grid(alpha=0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}