data_analyses.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9908bd3e-20a2-4d2a-92fb-59868fd188db",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from matplotlib.lines import Line2D\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "adcd9e21-1d70-4e29-abea-b1e356ee7574",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [],
   "source": [
    "col_names = ['rid', 'topic', 'query', 'value', 'wid', 'batch', 'duration', 'query_mean']\n",
    "dtypes = {'rid': str, 'topic': int, 'query': str, 'value': int, 'wid': str, 'batch': str, 'duration': int,\n",
    "          'query_mean': float}\n",
    "ranks_df = pd.read_csv('data/ranks_df_long.csv', index_col='rid', names=col_names, dtype=dtypes, header=0)\n",
    "rates_df = pd.read_csv('data/ratings_df_long.csv', index_col='rid', names=col_names, dtype=dtypes, header=0)\n",
    "ranks_df['value'] = ranks_df['value'].max() - ranks_df['value'] + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3951d397-8493-4623-ae24-dd83c6a6f780",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3.5652800705467813\n",
      "query\n",
      "carpal tunnel                     0.433333\n",
      "carpal tunnel syndrome            0.377778\n",
      "carpal tunnel syndrome wiki       0.455556\n",
      "cts syndrome                      0.288889\n",
      "what is carpal tunnel syndrome    0.388889\n",
      "Name: value, dtype: float64\n",
      "query\n",
      "carpal tunnel                     0.465753\n",
      "carpal tunnel syndrome            0.410959\n",
      "carpal tunnel syndrome wiki       0.438356\n",
      "cts syndrome                      0.493151\n",
      "what is carpal tunnel syndrome    0.410959\n",
      "Name: value, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "comb_df = pd.concat([ranks_df.assign(method='Ranking'), rates_df.assign(method='Rating')]).sort_values(\n",
    "    ['topic', 'method', 'query_mean', 'value'])\n",
    "comb_df['value'].clip(lower=1, inplace=True)  # clipping all ratings to start from 1\n",
    "\n",
    "# calc std error\n",
    "print(comb_df.groupby(['method', 'query'])['value'].mean().loc[('Rating', 'schizophrenia')] +\n",
    "      comb_df.groupby(['method', 'query'])['value'].std().loc[('Ranking', 'schizophrenia')])\n",
    "\n",
    "# calc ci's with seaborn\n",
    "print(ranks_df.loc[ranks_df['topic'] == 213].groupby('query')['value'].apply(sns.algorithms.bootstrap).apply(\n",
    "    sns.utils.ci).apply(lambda x: x[1] - x[0]))\n",
    "print(rates_df.loc[rates_df['topic'] == 213].groupby('query')['value'].apply(sns.algorithms.bootstrap).apply(\n",
    "    sns.utils.ci).apply(lambda x: x[1] - x[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "da457e37-73a9-4413-9a52-0202e432055d",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall average time 5 minutes and 17 seconds\n",
      "with SD of 3 minutes and 52 seconds\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    f\"Overall average time {comb_df['duration'].mean() // 60:.0f} minutes and {comb_df['duration'].mean() % 60:.0f} seconds\")\n",
    "print(f\"with SD of {comb_df['duration'].std() // 60:.0f} minutes and {comb_df['duration'].std() % 60:.0f} seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fcfc8e86-c2ec-4746-8e1a-16e35945d041",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 267 workers submitted the filtered HITs\n",
      "Every worker did 1.94 HITs on average\n"
     ]
    }
   ],
   "source": [
    "print(f\"Total of {comb_df['wid'].nunique()} workers submitted the filtered HITs\")\n",
    "print(f\"Every worker did {comb_df.groupby('wid')['batch'].nunique().mean():.4g} HITs on average\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6edad80d-5a62-4eae-9fd4-f7d2002b7d2c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "              topic                         query  value             wid  \\\nrid                                                                        \n48775020688     213        carpal tunnel syndrome      2   AH56J7I291XL7   \n60832753977     213        carpal tunnel syndrome      2   A4D99Y82KOLC8   \n99458784954     213        carpal tunnel syndrome      2  A13FTIHWW9GE8X   \n12734195590     213        carpal tunnel syndrome      3  A1I0DV4B4MFQCL   \n17248459875     213        carpal tunnel syndrome      3  A12R2U6TBB3OOG   \n...             ...                           ...    ...             ...   \n893638237006    286  drug treatment schizophrenia      5  A3FKXJVH0K2E3E   \n908844146155    286  drug treatment schizophrenia      5   A5NE8TWS8ZV7B   \n944288367126    286  drug treatment schizophrenia      5  A1X1SOI48T1C6E   \n976657927897    286  drug treatment schizophrenia      5  A2ZRL1ZWWXJ0L7   \n977617362863    286  drug treatment schizophrenia      5   AZ69TBTDH7AZS   \n\n              batch  duration  query_mean   method  \nrid                                                 \n48775020688     red       246    1.911111  Ranking  \n60832753977     red       152    1.911111  Ranking  \n99458784954     red       242    1.911111  Ranking  \n12734195590     red       286    1.911111  Ranking  \n17248459875     red       299    1.911111  Ranking  \n...             ...       ...         ...      ...  \n893638237006  green       170    4.693182   Rating  \n908844146155  green       225    4.693182   Rating  \n944288367126  green       204    4.693182   Rating  \n976657927897  green       172    4.693182   Rating  \n977617362863  green       141    4.693182   Rating  \n\n[1720 rows x 8 columns]",
      "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>topic</th>\n      <th>query</th>\n      <th>value</th>\n      <th>wid</th>\n      <th>batch</th>\n      <th>duration</th>\n      <th>query_mean</th>\n      <th>method</th>\n    </tr>\n    <tr>\n      <th>rid</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>48775020688</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>2</td>\n      <td>AH56J7I291XL7</td>\n      <td>red</td>\n      <td>246</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n    </tr>\n    <tr>\n      <th>60832753977</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>2</td>\n      <td>A4D99Y82KOLC8</td>\n      <td>red</td>\n      <td>152</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n    </tr>\n    <tr>\n      <th>99458784954</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>2</td>\n      <td>A13FTIHWW9GE8X</td>\n      <td>red</td>\n      <td>242</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n    </tr>\n    <tr>\n      <th>12734195590</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>3</td>\n      <td>A1I0DV4B4MFQCL</td>\n      <td>red</td>\n      <td>286</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n    </tr>\n    <tr>\n      <th>17248459875</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>3</td>\n      <td>A12R2U6TBB3OOG</td>\n      <td>red</td>\n      <td>299</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>893638237006</th>\n      <td>286</td>\n      <td>drug treatment schizophrenia</td>\n      <td>5</td>\n      <td>A3FKXJVH0K2E3E</td>\n      <td>green</td>\n      <td>170</td>\n      <td>4.693182</td>\n      <td>Rating</td>\n    </tr>\n    <tr>\n      <th>908844146155</th>\n      <td>286</td>\n      <td>drug treatment schizophrenia</td>\n      <td>5</td>\n      <td>A5NE8TWS8ZV7B</td>\n      <td>green</td>\n      <td>225</td>\n      <td>4.693182</td>\n      <td>Rating</td>\n    </tr>\n    <tr>\n      <th>944288367126</th>\n      <td>286</td>\n      <td>drug treatment schizophrenia</td>\n      <td>5</td>\n      <td>A1X1SOI48T1C6E</td>\n      <td>green</td>\n      <td>204</td>\n      <td>4.693182</td>\n      <td>Rating</td>\n    </tr>\n    <tr>\n      <th>976657927897</th>\n      <td>286</td>\n      <td>drug treatment schizophrenia</td>\n      <td>5</td>\n      <td>A2ZRL1ZWWXJ0L7</td>\n      <td>green</td>\n      <td>172</td>\n      <td>4.693182</td>\n      <td>Rating</td>\n    </tr>\n    <tr>\n      <th>977617362863</th>\n      <td>286</td>\n      <td>drug treatment schizophrenia</td>\n      <td>5</td>\n      <td>AZ69TBTDH7AZS</td>\n      <td>green</td>\n      <td>141</td>\n      <td>4.693182</td>\n      <td>Rating</td>\n    </tr>\n  </tbody>\n</table>\n<p>1720 rows × 8 columns</p>\n</div>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comb_df.loc[comb_df['topic'].isin({213, 286})]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c534fe61-6b17-4d9a-9f65-2bbf2c57f73f",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                                                                        qid  \\\nquery                                                                         \ncarpal syndrome info                                213-ranking-77160508823   \ncarpal tunnel                                       213-rating-988373623881   \ncarpal tunnel elderly                               213-rating-619234352558   \ncarpal tunnel pain in elderly hands                 213-rating-690392653224   \ncarpal tunnel pain in hands                         213-rating-211885713576   \n...                                                                     ...   \nwhat can you do to prevent altitude sickness in...  297-rating-843887168262   \nwhat can you do to prevent high altitude sickne...  297-ranking-47599303745   \nwhat is altitude sickness                           297-ranking-10179138621   \nwhat to do to prevent altitude sickness on long...  297-rating-397327328054   \nwill the altitude cause any problems when trave...  297-rating-594546549557   \n\n                                                             rid  \nquery                                                             \ncarpal syndrome info                                 77160508823  \ncarpal tunnel                                       988373623881  \ncarpal tunnel elderly                               619234352558  \ncarpal tunnel pain in elderly hands                 690392653224  \ncarpal tunnel pain in hands                         211885713576  \n...                                                          ...  \nwhat can you do to prevent altitude sickness in...  843887168262  \nwhat can you do to prevent high altitude sickne...   47599303745  \nwhat is altitude sickness                            10179138621  \nwhat to do to prevent altitude sickness on long...  397327328054  \nwill the altitude cause any problems when trave...  594546549557  \n\n[996 rows x 2 columns]",
      "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>qid</th>\n      <th>rid</th>\n    </tr>\n    <tr>\n      <th>query</th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>carpal syndrome info</th>\n      <td>213-ranking-77160508823</td>\n      <td>77160508823</td>\n    </tr>\n    <tr>\n      <th>carpal tunnel</th>\n      <td>213-rating-988373623881</td>\n      <td>988373623881</td>\n    </tr>\n    <tr>\n      <th>carpal tunnel elderly</th>\n      <td>213-rating-619234352558</td>\n      <td>619234352558</td>\n    </tr>\n    <tr>\n      <th>carpal tunnel pain in elderly hands</th>\n      <td>213-rating-690392653224</td>\n      <td>690392653224</td>\n    </tr>\n    <tr>\n      <th>carpal tunnel pain in hands</th>\n      <td>213-rating-211885713576</td>\n      <td>211885713576</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>what can you do to prevent altitude sickness in high elevation cities</th>\n      <td>297-rating-843887168262</td>\n      <td>843887168262</td>\n    </tr>\n    <tr>\n      <th>what can you do to prevent high altitude sickness and what is the treatment</th>\n      <td>297-ranking-47599303745</td>\n      <td>47599303745</td>\n    </tr>\n    <tr>\n      <th>what is altitude sickness</th>\n      <td>297-ranking-10179138621</td>\n      <td>10179138621</td>\n    </tr>\n    <tr>\n      <th>what to do to prevent altitude sickness on long flight</th>\n      <td>297-rating-397327328054</td>\n      <td>397327328054</td>\n    </tr>\n    <tr>\n      <th>will the altitude cause any problems when traveling to mexico city</th>\n      <td>297-rating-594546549557</td>\n      <td>594546549557</td>\n    </tr>\n  </tbody>\n</table>\n<p>996 rows × 2 columns</p>\n</div>"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_user_queries = pd.read_csv('data/unique_normalized_user_queries.csv', header=None, names=['qid', 'query'],\n",
    "                                  index_col='query')\n",
    "unique_user_queries = unique_user_queries.assign(rid=unique_user_queries.qid.str.rsplit('-', 1).str[1])\n",
    "unique_user_queries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1cd6f335-ccd4-453d-b99f-03736079569a",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [],
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                          nDCG@10\nqid                              \n213-ranking-77160508823  0.150730\n213-rating-988373623881  0.114385\n213-rating-619234352558  0.092862\n213-rating-690392653224  0.250808\n213-rating-211885713576  0.253441\n...                           ...\n297-rating-843887168262  0.597275\n297-ranking-47599303745  0.690336\n297-ranking-10179138621  0.484505\n297-rating-397327328054  0.317005\n297-rating-594546549557  0.056003\n\n[996 rows x 1 columns]",
      "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>nDCG@10</th>\n    </tr>\n    <tr>\n      <th>qid</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>213-ranking-77160508823</th>\n      <td>0.150730</td>\n    </tr>\n    <tr>\n      <th>213-rating-988373623881</th>\n      <td>0.114385</td>\n    </tr>\n    <tr>\n      <th>213-rating-619234352558</th>\n      <td>0.092862</td>\n    </tr>\n    <tr>\n      <th>213-rating-690392653224</th>\n      <td>0.250808</td>\n    </tr>\n    <tr>\n      <th>213-rating-211885713576</th>\n      <td>0.253441</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>297-rating-843887168262</th>\n      <td>0.597275</td>\n    </tr>\n    <tr>\n      <th>297-ranking-47599303745</th>\n      <td>0.690336</td>\n    </tr>\n    <tr>\n      <th>297-ranking-10179138621</th>\n      <td>0.484505</td>\n    </tr>\n    <tr>\n      <th>297-rating-397327328054</th>\n      <td>0.317005</td>\n    </tr>\n    <tr>\n      <th>297-rating-594546549557</th>\n      <td>0.056003</td>\n    </tr>\n  </tbody>\n</table>\n<p>996 rows × 1 columns</p>\n</div>"
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k = 10\n",
    "ndcg_df = pd.read_csv(f'data/PL2.DFR.SD-survey.ndcg@{k}', sep='\\t', header=None, names=['qid', f'nDCG@{k}'],\n",
    "                      index_col='qid')\n",
    "canary_qids = ndcg_df.loc[ndcg_df.index.str.endswith('-0')].index\n",
    "# ndcg_df.index = ndcg_df.index.str.strip()\n",
    "# ndcg_df.shape\n",
    "users_ndcg_df = pd.read_csv(f'data/user_queries/PL2.DFR.SD.ndcg@{k}', sep='\\t', header=None, names=['qid', f'nDCG@{k}'],\n",
    "                            index_col='qid')\n",
    "users_ndcg_df = users_ndcg_df.loc[unique_user_queries['qid']]\n",
    "users_ndcg_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "eb1babcc-d1be-4eb5-a78d-216000d386cd",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [],
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                                                    query   nDCG@10 topic\nqid                                                                      \n261-2222                          sore throat home remedy  0.514984   261\n261-5906                                      sore throat  0.207764   261\n261-6263                           home care cough remedy  0.094559   261\n261-3964             what can i use to cure a sore throat  0.360681   261\n261-4857  what are some homemade remedy for a sore throat  0.305223   261\n253-3763                          tooth abscess treatment  0.633996   253\n253-6283                                abscess treatment  0.307865   253\n253-3467                      treatment for tooth abscess  0.620790   253\n253-1388                             tooth pain treatment  0.000000   253\n253-1872                           treatment for jaw pain  0.000000   253\n259-3561                            carpenter bee removal  0.377530   259\n259-6786                      how to remove carpenter bee  0.624413   259\n259-9412                                      bee removal  0.159759   259\n259-9374                                     pest control  0.019725   259\n259-8646                          hotline for bee control  0.134128   259\n213-2264                           carpal tunnel syndrome  0.075295   213\n213-2326                                     cts syndrome  0.349312   213\n213-5606                   what is carpal tunnel syndrome  0.075295   213\n213-7111                                    carpal tunnel  0.114385   213\n213-5173                      carpal tunnel syndrome wiki  0.121913   213\n297-9981                     altitude sickness prevention  0.264538   297\n297-3878                                altitude sickness  0.484505   297\n297-9743                  treatment for altitude sickness  0.421802   297\n297-7913                how to overcome altitude sickness  0.202916   297\n297-5173         mexico city altitude sickness prevention  0.264538   297\n234-1188                                     healthy food  0.020834   234\n234-3339                           healthy dark chocolate  0.192166   234\n234-4926                            dark chocolate health  0.129187   234\n234-7913  how healthy is dark chocolate to the human body  0.192094   234\n234-1823                  health impact of dark chocolate  0.110706   234\n283-8091                             ride in pennsylvania  0.000000   283\n283-2264                          hayride in pennsylvania  0.160705   283\n283-2364    where in pennsylvania you can go on a hayride  0.153727   283\n283-1292                         pennsylvania usa hayride  0.181633   283\n283-7317                             hayride pennsylvania  0.160705   283\n244-9854                      old town scottsdale history  0.056861   244\n244-1723                              old town scottsdale  0.013212   244\n244-5048           history of old town scottsdale arizona  0.064296   244\n244-6987                      old town scottsdale phoenix  0.000000   244\n244-1606                      info on old town scottsdale  0.013212   244\n266-5955                                     heart attack  0.313540   266\n266-7317                      heart and stroke foundation  0.033581   266\n266-9035             what to do to prevent a heart attack  0.321085   266\n266-5597                         heart attack first steps  0.255818   266\n266-8538                        heart attack symptom list  0.183137   266\n238-7061                                  george h w bush  0.011212   238\n238-1870                         george hw bush biography  0.263513   238\n238-3199                                      george bush  0.011212   238\n238-5526              president george h w bush biography  0.490367   238\n238-8725      what is a good biography on george h w bush  0.365688   238\n223-9981                                usda food pyramid  0.356010   223\n223-6720                                     food pyramid  0.201439   223\n223-8425                           food pyramid from usda  0.346546   223\n223-9467                        usda nutrition guidelines  0.103866   223\n223-9430                        healthy food pyramid diet  0.049922   223\n286-5878                     schizophrenia drug treatment  0.544897   286\n286-6826                         schizophrenia medication  0.212521   286\n286-6720                                    schizophrenia  0.109451   286\n286-3347            common drug therapy for schizophrenia  0.155850   286\n286-7061                     drug treatment schizophrenia  0.548159   286",
      "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>query</th>\n      <th>nDCG@10</th>\n      <th>topic</th>\n    </tr>\n    <tr>\n      <th>qid</th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>261-2222</th>\n      <td>sore throat home remedy</td>\n      <td>0.514984</td>\n      <td>261</td>\n    </tr>\n    <tr>\n      <th>261-5906</th>\n      <td>sore throat</td>\n      <td>0.207764</td>\n      <td>261</td>\n    </tr>\n    <tr>\n      <th>261-6263</th>\n      <td>home care cough remedy</td>\n      <td>0.094559</td>\n      <td>261</td>\n    </tr>\n    <tr>\n      <th>261-3964</th>\n      <td>what can i use to cure a sore throat</td>\n      <td>0.360681</td>\n      <td>261</td>\n    </tr>\n    <tr>\n      <th>261-4857</th>\n      <td>what are some homemade remedy for a sore throat</td>\n      <td>0.305223</td>\n      <td>261</td>\n    </tr>\n    <tr>\n      <th>253-3763</th>\n      <td>tooth abscess treatment</td>\n      <td>0.633996</td>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>253-6283</th>\n      <td>abscess treatment</td>\n      <td>0.307865</td>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>253-3467</th>\n      <td>treatment for tooth abscess</td>\n      <td>0.620790</td>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>253-1388</th>\n      <td>tooth pain treatment</td>\n      <td>0.000000</td>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>253-1872</th>\n      <td>treatment for jaw pain</td>\n      <td>0.000000</td>\n      <td>253</td>\n    </tr>\n    <tr>\n      <th>259-3561</th>\n      <td>carpenter bee removal</td>\n      <td>0.377530</td>\n      <td>259</td>\n    </tr>\n    <tr>\n      <th>259-6786</th>\n      <td>how to remove carpenter bee</td>\n      <td>0.624413</td>\n      <td>259</td>\n    </tr>\n    <tr>\n      <th>259-9412</th>\n      <td>bee removal</td>\n      <td>0.159759</td>\n      <td>259</td>\n    </tr>\n    <tr>\n      <th>259-9374</th>\n      <td>pest control</td>\n      <td>0.019725</td>\n      <td>259</td>\n    </tr>\n    <tr>\n      <th>259-8646</th>\n      <td>hotline for bee control</td>\n      <td>0.134128</td>\n      <td>259</td>\n    </tr>\n    <tr>\n      <th>213-2264</th>\n      <td>carpal tunnel syndrome</td>\n      <td>0.075295</td>\n      <td>213</td>\n    </tr>\n    <tr>\n      <th>213-2326</th>\n      <td>cts syndrome</td>\n      <td>0.349312</td>\n      <td>213</td>\n    </tr>\n    <tr>\n      <th>213-5606</th>\n      <td>what is carpal tunnel syndrome</td>\n      <td>0.075295</td>\n      <td>213</td>\n    </tr>\n    <tr>\n      <th>213-7111</th>\n      <td>carpal tunnel</td>\n      <td>0.114385</td>\n      <td>213</td>\n    </tr>\n    <tr>\n      <th>213-5173</th>\n      <td>carpal tunnel syndrome wiki</td>\n      <td>0.121913</td>\n      <td>213</td>\n    </tr>\n    <tr>\n      <th>297-9981</th>\n      <td>altitude sickness prevention</td>\n      <td>0.264538</td>\n      <td>297</td>\n    </tr>\n    <tr>\n      <th>297-3878</th>\n      <td>altitude sickness</td>\n      <td>0.484505</td>\n      <td>297</td>\n    </tr>\n    <tr>\n      <th>297-9743</th>\n      <td>treatment for altitude sickness</td>\n      <td>0.421802</td>\n      <td>297</td>\n    </tr>\n    <tr>\n      <th>297-7913</th>\n      <td>how to overcome altitude sickness</td>\n      <td>0.202916</td>\n      <td>297</td>\n    </tr>\n    <tr>\n      <th>297-5173</th>\n      <td>mexico city altitude sickness prevention</td>\n      <td>0.264538</td>\n      <td>297</td>\n    </tr>\n    <tr>\n      <th>234-1188</th>\n      <td>healthy food</td>\n      <td>0.020834</td>\n      <td>234</td>\n    </tr>\n    <tr>\n      <th>234-3339</th>\n      <td>healthy dark chocolate</td>\n      <td>0.192166</td>\n      <td>234</td>\n    </tr>\n    <tr>\n      <th>234-4926</th>\n      <td>dark chocolate health</td>\n      <td>0.129187</td>\n      <td>234</td>\n    </tr>\n    <tr>\n      <th>234-7913</th>\n      <td>how healthy is dark chocolate to the human body</td>\n      <td>0.192094</td>\n      <td>234</td>\n    </tr>\n    <tr>\n      <th>234-1823</th>\n      <td>health impact of dark chocolate</td>\n      <td>0.110706</td>\n      <td>234</td>\n    </tr>\n    <tr>\n      <th>283-8091</th>\n      <td>ride in pennsylvania</td>\n      <td>0.000000</td>\n      <td>283</td>\n    </tr>\n    <tr>\n      <th>283-2264</th>\n      <td>hayride in pennsylvania</td>\n      <td>0.160705</td>\n      <td>283</td>\n    </tr>\n    <tr>\n      <th>283-2364</th>\n      <td>where in pennsylvania you can go on a hayride</td>\n      <td>0.153727</td>\n      <td>283</td>\n    </tr>\n    <tr>\n      <th>283-1292</th>\n      <td>pennsylvania usa hayride</td>\n      <td>0.181633</td>\n      <td>283</td>\n    </tr>\n    <tr>\n      <th>283-7317</th>\n      <td>hayride pennsylvania</td>\n      <td>0.160705</td>\n      <td>283</td>\n    </tr>\n    <tr>\n      <th>244-9854</th>\n      <td>old town scottsdale history</td>\n      <td>0.056861</td>\n      <td>244</td>\n    </tr>\n    <tr>\n      <th>244-1723</th>\n      <td>old town scottsdale</td>\n      <td>0.013212</td>\n      <td>244</td>\n    </tr>\n    <tr>\n      <th>244-5048</th>\n      <td>history of old town scottsdale arizona</td>\n      <td>0.064296</td>\n      <td>244</td>\n    </tr>\n    <tr>\n      <th>244-6987</th>\n      <td>old town scottsdale phoenix</td>\n      <td>0.000000</td>\n      <td>244</td>\n    </tr>\n    <tr>\n      <th>244-1606</th>\n      <td>info on old town scottsdale</td>\n      <td>0.013212</td>\n      <td>244</td>\n    </tr>\n    <tr>\n      <th>266-5955</th>\n      <td>heart attack</td>\n      <td>0.313540</td>\n      <td>266</td>\n    </tr>\n    <tr>\n      <th>266-7317</th>\n      <td>heart and stroke foundation</td>\n      <td>0.033581</td>\n      <td>266</td>\n    </tr>\n    <tr>\n      <th>266-9035</th>\n      <td>what to do to prevent a heart attack</td>\n      <td>0.321085</td>\n      <td>266</td>\n    </tr>\n    <tr>\n      <th>266-5597</th>\n      <td>heart attack first steps</td>\n      <td>0.255818</td>\n      <td>266</td>\n    </tr>\n    <tr>\n      <th>266-8538</th>\n      <td>heart attack symptom list</td>\n      <td>0.183137</td>\n      <td>266</td>\n    </tr>\n    <tr>\n      <th>238-7061</th>\n      <td>george h w bush</td>\n      <td>0.011212</td>\n      <td>238</td>\n    </tr>\n    <tr>\n      <th>238-1870</th>\n      <td>george hw bush biography</td>\n      <td>0.263513</td>\n      <td>238</td>\n    </tr>\n    <tr>\n      <th>238-3199</th>\n      <td>george bush</td>\n      <td>0.011212</td>\n      <td>238</td>\n    </tr>\n    <tr>\n      <th>238-5526</th>\n      <td>president george h w bush biography</td>\n      <td>0.490367</td>\n      <td>238</td>\n    </tr>\n    <tr>\n      <th>238-8725</th>\n      <td>what is a good biography on george h w bush</td>\n      <td>0.365688</td>\n      <td>238</td>\n    </tr>\n    <tr>\n      <th>223-9981</th>\n      <td>usda food pyramid</td>\n      <td>0.356010</td>\n      <td>223</td>\n    </tr>\n    <tr>\n      <th>223-6720</th>\n      <td>food pyramid</td>\n      <td>0.201439</td>\n      <td>223</td>\n    </tr>\n    <tr>\n      <th>223-8425</th>\n      <td>food pyramid from usda</td>\n      <td>0.346546</td>\n      <td>223</td>\n    </tr>\n    <tr>\n      <th>223-9467</th>\n      <td>usda nutrition guidelines</td>\n      <td>0.103866</td>\n      <td>223</td>\n    </tr>\n    <tr>\n      <th>223-9430</th>\n      <td>healthy food pyramid diet</td>\n      <td>0.049922</td>\n      <td>223</td>\n    </tr>\n    <tr>\n      <th>286-5878</th>\n      <td>schizophrenia drug treatment</td>\n      <td>0.544897</td>\n      <td>286</td>\n    </tr>\n    <tr>\n      <th>286-6826</th>\n      <td>schizophrenia medication</td>\n      <td>0.212521</td>\n      <td>286</td>\n    </tr>\n    <tr>\n      <th>286-6720</th>\n      <td>schizophrenia</td>\n      <td>0.109451</td>\n      <td>286</td>\n    </tr>\n    <tr>\n      <th>286-3347</th>\n      <td>common drug therapy for schizophrenia</td>\n      <td>0.155850</td>\n      <td>286</td>\n    </tr>\n    <tr>\n      <th>286-7061</th>\n      <td>drug treatment schizophrenia</td>\n      <td>0.548159</td>\n      <td>286</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qdf = pd.read_csv('data/QueriesSurvey.csv', header=None, names=['qid', 'query'], index_col='qid').applymap(str.strip)\n",
    "qdf.index = qdf.index.str.strip()\n",
    "qdf = qdf.merge(ndcg_df, left_index=True, right_index=True)\n",
    "qdf['topic'] = qdf.index.str.split('-').str[0]\n",
    "qdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5a3c1631-351a-4495-918f-5f1172957021",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [],
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "query\nride in pennsylvania                               1.191781\nhealthy food                                       1.328767\nheart and stroke foundation                        2.068182\ncts syndrome                                       2.260274\ngeorge bush                                        2.297619\ntreatment for jaw pain                             2.342466\nsore throat                                        2.476190\npest control                                       2.522727\nschizophrenia                                      2.681818\nhotline for bee control                            2.693182\nwhat to do to prevent a heart attack               2.863636\nheart attack first steps                           3.000000\nheart attack                                       3.102273\nhealthy dark chocolate                             3.123288\nhome care cough remedy                             3.238095\ntooth pain treatment                               3.246575\naltitude sickness                                  3.297619\ncarpal tunnel                                      3.397260\nbee removal                                        3.409091\ngeorge h w bush                                    3.464286\nold town scottsdale                                3.511905\nabscess treatment                                  3.534247\nfood pyramid                                       3.590909\nold town scottsdale phoenix                        3.595238\ndark chocolate health                              3.643836\ncarpal tunnel syndrome wiki                        3.794521\nhealthy food pyramid diet                          3.829545\nusda nutrition guidelines                          3.897727\ninfo on old town scottsdale                        4.059524\nwhat can i use to cure a sore throat               4.071429\nwhat is carpal tunnel syndrome                     4.109589\npennsylvania usa hayride                           4.123288\ncarpal tunnel syndrome                             4.178082\nhayride pennsylvania                               4.178082\nmexico city altitude sickness prevention           4.226190\nwhat is a good biography on george h w bush        4.321429\nschizophrenia medication                           4.340909\nhow to overcome altitude sickness                  4.416667\nhow healthy is dark chocolate to the human body    4.438356\nhayride in pennsylvania                            4.438356\ntreatment for altitude sickness                    4.523810\nhealth impact of dark chocolate                    4.561644\nwhat are some homemade remedy for a sore throat    4.642857\nold town scottsdale history                        4.654762\ncommon drug therapy for schizophrenia              4.681818\nschizophrenia drug treatment                       4.681818\ndrug treatment schizophrenia                       4.693182\ngeorge hw bush biography                           4.726190\ntreatment for tooth abscess                        4.739726\naltitude sickness prevention                       4.750000\ntooth abscess treatment                            4.753425\nfood pyramid from usda                             4.772727\ncarpenter bee removal                              4.784091\npresident george h w bush biography                4.797619\nusda food pyramid                                  4.806818\nwhere in pennsylvania you can go on a hayride      4.835616\nhow to remove carpenter bee                        4.840909\nsore throat home remedy                            4.845238\nheart attack symptom list                          4.852273\nhistory of old town scottsdale arizona             4.880952\nName: value, dtype: float64"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ranks_sr = ranks_df.groupby(['query'])['value'].mean()\n",
    "rates_sr = rates_df.groupby(['query'])['value'].mean()\n",
    "rates_sr.sort_values()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "455c4344-a1b5-4239-bcc7-03140afb0c47",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [],
    "trusted": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pearson:\n",
      "|         |   nDCG@10 |   Rating |   Ranking |\n",
      "|:--------|----------:|---------:|----------:|\n",
      "| nDCG@10 |      1.00 |     0.49 |      0.50 |\n",
      "| Rating  |      0.49 |     1.00 |      0.90 |\n",
      "| Ranking |      0.50 |     0.90 |      1.00 |\n",
      "3e-22\n",
      "8e-05\n",
      "6e-05\n",
      "\n",
      "Spearman:\n",
      "|         |   nDCG@10 |   Rating |   Ranking |\n",
      "|:--------|----------:|---------:|----------:|\n",
      "| nDCG@10 |      1.00 |     0.50 |      0.51 |\n",
      "| Rating  |      0.50 |     1.00 |      0.91 |\n",
      "| Ranking |      0.51 |     0.91 |      1.00 |\n",
      "\n",
      "Kendall:\n",
      "|         |   nDCG@10 |   Rating |   Ranking |\n",
      "|:--------|----------:|---------:|----------:|\n",
      "| nDCG@10 |      1.00 |     0.36 |      0.36 |\n",
      "| Rating  |      0.36 |     1.00 |      0.76 |\n",
      "| Ranking |      0.36 |     0.76 |      1.00 |\n"
     ]
    }
   ],
   "source": [
    "qdf = qdf.assign(avg_rate=qdf['query'].map(rates_sr), avg_rank=qdf['query'].map(ranks_sr))\n",
    "qdf_filtered = qdf.loc[~qdf.index.isin(canary_qids)].rename(\n",
    "    columns={'topic': 'Topic', 'avg_rate': 'Rating', 'avg_rank': 'Ranking'})\n",
    "qdf_filtered.head()\n",
    "print('Pearson:')\n",
    "print(qdf_filtered.corr(method='pearson').to_markdown(floatfmt='.2f'))\n",
    "print(f\"{stats.pearsonr(qdf_filtered['Rating'], qdf_filtered['Ranking'])[1]:.1g}\")\n",
    "print(f\"{stats.pearsonr(qdf_filtered['Rating'], qdf_filtered['nDCG@10'])[1]:.1g}\")\n",
    "print(f\"{stats.pearsonr(qdf_filtered['Ranking'], qdf_filtered['nDCG@10'])[1]:.1g}\")\n",
    "\n",
    "print('\\nSpearman:')\n",
    "print(qdf_filtered.corr(method='spearman').to_markdown(floatfmt='.2f'))\n",
    "print('\\nKendall:')\n",
    "print(qdf_filtered.corr(method='kendall').to_markdown(floatfmt='.2f'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9d9eab90-bcf0-456b-bb70-6327eaa2a3ef",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [],
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1944x864 with 12 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "# _df = comb_df.loc[comb_df['topic'].isin({213, 223, 253, 286})]\n",
    "_df = comb_df\n",
    "g = sns.catplot(data=_df, x='value', y='query', hue='method', kind='point', col='topic',\n",
    "                hue_order=['Ranking', 'Rating'], scale=0.8, errwidth=1.5, capsize=0.15, col_wrap=3,\n",
    "                height=3, aspect=3, sharey=False, sharex=True, dodge=0.27, ci='sd', join=False, margin_titles=False,\n",
    "                legend=False, legend_out=False)\n",
    "\n",
    "for ax in g.axes.flat:\n",
    "    ax.minorticks_on()\n",
    "    # ax.tick_params(axis='y', which='major', left=False, pad=2)\n",
    "    ax.tick_params(axis='y', which='minor', left=False)\n",
    "    ax.tick_params(axis='x', which='minor', bottom=True)\n",
    "    ax.tick_params(axis='x', which='major', bottom=True, labelbottom=True)\n",
    "\n",
    "for ax in g.axes.flat:\n",
    "    ax.set_ylabel(None)\n",
    "    ax.set_xlabel(None)\n",
    "    ax.set_xlabel(\"User's mean\")\n",
    "\n",
    "g.map(plt.grid, b=True, which='major', axis='x', zorder=1, linewidth=1, ms=0, alpha=0.6)\n",
    "g.map(plt.grid, b=True, which='major', axis='y', zorder=1, linewidth=1, ms=0, alpha=0.6)\n",
    "# g.map(plt.grid, b=True, which='minor', axis='x', zorder=0, alpha=0.3, linewidth=0.5, ms=0)\n",
    "\n",
    "for ax in g.axes.flat:\n",
    "    ax.legend(loc='upper left')\n",
    "    # ax.set_title(None)\n",
    "\n",
    "for l in ax.lines + ax.collections:\n",
    "    l.set_zorder(20)\n",
    "\n",
    "g.set_titles(\"Topic {col_name} User's Mean\")\n",
    "\n",
    "plt.savefig('plots/point_mean_ci.pdf', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1ffd505c-951d-41db-9be0-dfeb5688d0db",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "0.8972401444060907"
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ranks_sr.corr(rates_sr, method='pearson')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "00e0dd60-4ee4-4575-a60a-db743c43b335",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                          qid  \\\n129   213-ranking-12404386894   \n7     213-ranking-12734195590   \n8     213-ranking-13250011561   \n137   213-ranking-14107062271   \n9     213-ranking-17248459875   \n...                       ...   \n2068  297-rating-947212223056   \n2057  297-rating-948095247335   \n2183  297-rating-956482484331   \n2121  297-rating-976189905893   \n2135  297-rating-976386207551   \n\n                                           user_query  topic           rid  \\\n129                            symptoms carpal tunnel    213   12404386894   \n7                              carpal tunnel symptoms    213   12734195590   \n8                              carpal tunnel symptoms    213   13250011561   \n137                symptoms of carpal tunnel syndrome    213   14107062271   \n9                              carpal tunnel symptoms    213   17248459875   \n...                                               ...    ...           ...   \n2068                      altitude sickness treatment    297  947212223056   \n2057                       altitude sickness remedies    297  948095247335   \n2183  treatments for altitude sickness in mexico city    297  956482484331   \n2121                 how to prevent altitude sickness    297  976189905893   \n2135         mexico city altitude sickness prevention    297  976386207551   \n\n       method                  ref_qid  user_nDCG@10  \n129   Ranking  213-ranking-12404386894      0.221163  \n7     Ranking  213-ranking-12734195590      0.213350  \n8     Ranking  213-ranking-12734195590      0.213350  \n137   Ranking  213-ranking-14107062271      0.171151  \n9     Ranking  213-ranking-12734195590      0.213350  \n...       ...                      ...           ...  \n2068   Rating  297-ranking-59064628132      0.392754  \n2057   Rating  297-ranking-65842387797      0.358042  \n2183   Rating  297-rating-956482484331      0.355933  \n2121   Rating  297-ranking-11299309425      0.332475  \n2135   Rating  297-rating-976386207551      0.264538  \n\n[2072 rows x 7 columns]",
      "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>qid</th>\n      <th>user_query</th>\n      <th>topic</th>\n      <th>rid</th>\n      <th>method</th>\n      <th>ref_qid</th>\n      <th>user_nDCG@10</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>129</th>\n      <td>213-ranking-12404386894</td>\n      <td>symptoms carpal tunnel</td>\n      <td>213</td>\n      <td>12404386894</td>\n      <td>Ranking</td>\n      <td>213-ranking-12404386894</td>\n      <td>0.221163</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>213-ranking-12734195590</td>\n      <td>carpal tunnel symptoms</td>\n      <td>213</td>\n      <td>12734195590</td>\n      <td>Ranking</td>\n      <td>213-ranking-12734195590</td>\n      <td>0.213350</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>213-ranking-13250011561</td>\n      <td>carpal tunnel symptoms</td>\n      <td>213</td>\n      <td>13250011561</td>\n      <td>Ranking</td>\n      <td>213-ranking-12734195590</td>\n      <td>0.213350</td>\n    </tr>\n    <tr>\n      <th>137</th>\n      <td>213-ranking-14107062271</td>\n      <td>symptoms of carpal tunnel syndrome</td>\n      <td>213</td>\n      <td>14107062271</td>\n      <td>Ranking</td>\n      <td>213-ranking-14107062271</td>\n      <td>0.171151</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>213-ranking-17248459875</td>\n      <td>carpal tunnel symptoms</td>\n      <td>213</td>\n      <td>17248459875</td>\n      <td>Ranking</td>\n      <td>213-ranking-12734195590</td>\n      <td>0.213350</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>2068</th>\n      <td>297-rating-947212223056</td>\n      <td>altitude sickness treatment</td>\n      <td>297</td>\n      <td>947212223056</td>\n      <td>Rating</td>\n      <td>297-ranking-59064628132</td>\n      <td>0.392754</td>\n    </tr>\n    <tr>\n      <th>2057</th>\n      <td>297-rating-948095247335</td>\n      <td>altitude sickness remedies</td>\n      <td>297</td>\n      <td>948095247335</td>\n      <td>Rating</td>\n      <td>297-ranking-65842387797</td>\n      <td>0.358042</td>\n    </tr>\n    <tr>\n      <th>2183</th>\n      <td>297-rating-956482484331</td>\n      <td>treatments for altitude sickness in mexico city</td>\n      <td>297</td>\n      <td>956482484331</td>\n      <td>Rating</td>\n      <td>297-rating-956482484331</td>\n      <td>0.355933</td>\n    </tr>\n    <tr>\n      <th>2121</th>\n      <td>297-rating-976189905893</td>\n      <td>how to prevent altitude sickness</td>\n      <td>297</td>\n      <td>976189905893</td>\n      <td>Rating</td>\n      <td>297-ranking-11299309425</td>\n      <td>0.332475</td>\n    </tr>\n    <tr>\n      <th>2135</th>\n      <td>297-rating-976386207551</td>\n      <td>mexico city altitude sickness prevention</td>\n      <td>297</td>\n      <td>976386207551</td>\n      <td>Rating</td>\n      <td>297-rating-976386207551</td>\n      <td>0.264538</td>\n    </tr>\n  </tbody>\n</table>\n<p>2072 rows × 7 columns</p>\n</div>"
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_user_queries = pd.read_csv('data/all_normalized_user_queries.csv', header=None, names=['qid', 'user_query']).assign(\n",
    "    topic=lambda x: x.qid.apply(lambda y: y.split('-')[0])).sort_values('qid')\n",
    "all_user_queries = all_user_queries.assign(rid=all_user_queries.qid.str.rsplit('-', 1).str[1])\n",
    "all_user_queries = all_user_queries.assign(method=all_user_queries.qid.str.split('-').str[1].str.capitalize())\n",
    "all_user_queries = all_user_queries.assign(topic=all_user_queries.qid.str.split('-').str[0].astype(int))\n",
    "# filter only the accepted queries\n",
    "all_user_queries = all_user_queries.loc[all_user_queries['rid'].isin(comb_df.index)]\n",
    "all_user_queries['ref_qid'] = all_user_queries['user_query'].apply(lambda x: unique_user_queries.loc[x, 'qid'])\n",
    "all_user_queries[f'user_nDCG@{k}'] = all_user_queries['ref_qid'].apply(lambda x: users_ndcg_df.loc[x, f'nDCG@{k}'])\n",
    "all_user_queries.set_index(['method', 'topic', 'rid'])\n",
    "all_user_queries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4ec9bc52-ea9f-4a63-ba09-3788faec5fe8",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [],
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "              topic                         query  value             wid  \\\nrid                                                                        \n48775020688     213        carpal tunnel syndrome      2   AH56J7I291XL7   \n60832753977     213        carpal tunnel syndrome      2   A4D99Y82KOLC8   \n99458784954     213        carpal tunnel syndrome      2  A13FTIHWW9GE8X   \n12734195590     213        carpal tunnel syndrome      3  A1I0DV4B4MFQCL   \n17248459875     213        carpal tunnel syndrome      3  A12R2U6TBB3OOG   \n...             ...                           ...    ...             ...   \n924377032299    297  altitude sickness prevention      5  A2VUF0V7HT51Q3   \n932014057110    297  altitude sickness prevention      5  A314XJY8V1YL12   \n947212223056    297  altitude sickness prevention      5  A1JO6AY55FG7QU   \n948095247335    297  altitude sickness prevention      5  A13XMRE3EKZ715   \n976189905893    297  altitude sickness prevention      5  A21HYG0E8SK3ZZ   \n\n             batch  duration  query_mean   method       qid  \nrid                                                          \n48775020688    red       246    1.911111  Ranking  213-2264  \n60832753977    red       152    1.911111  Ranking  213-2264  \n99458784954    red       242    1.911111  Ranking  213-2264  \n12734195590    red       286    1.911111  Ranking  213-2264  \n17248459875    red       299    1.911111  Ranking  213-2264  \n...            ...       ...         ...      ...       ...  \n924377032299  blue       194    4.750000   Rating  297-9981  \n932014057110  blue       368    4.750000   Rating  297-9981  \n947212223056  blue       224    4.750000   Rating  297-9981  \n948095247335  blue       211    4.750000   Rating  297-9981  \n976189905893  blue       206    4.750000   Rating  297-9981  \n\n[10360 rows x 9 columns]",
      "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>topic</th>\n      <th>query</th>\n      <th>value</th>\n      <th>wid</th>\n      <th>batch</th>\n      <th>duration</th>\n      <th>query_mean</th>\n      <th>method</th>\n      <th>qid</th>\n    </tr>\n    <tr>\n      <th>rid</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>48775020688</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>2</td>\n      <td>AH56J7I291XL7</td>\n      <td>red</td>\n      <td>246</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n      <td>213-2264</td>\n    </tr>\n    <tr>\n      <th>60832753977</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>2</td>\n      <td>A4D99Y82KOLC8</td>\n      <td>red</td>\n      <td>152</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n      <td>213-2264</td>\n    </tr>\n    <tr>\n      <th>99458784954</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>2</td>\n      <td>A13FTIHWW9GE8X</td>\n      <td>red</td>\n      <td>242</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n      <td>213-2264</td>\n    </tr>\n    <tr>\n      <th>12734195590</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>3</td>\n      <td>A1I0DV4B4MFQCL</td>\n      <td>red</td>\n      <td>286</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n      <td>213-2264</td>\n    </tr>\n    <tr>\n      <th>17248459875</th>\n      <td>213</td>\n      <td>carpal tunnel syndrome</td>\n      <td>3</td>\n      <td>A12R2U6TBB3OOG</td>\n      <td>red</td>\n      <td>299</td>\n      <td>1.911111</td>\n      <td>Ranking</td>\n      <td>213-2264</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>924377032299</th>\n      <td>297</td>\n      <td>altitude sickness prevention</td>\n      <td>5</td>\n      <td>A2VUF0V7HT51Q3</td>\n      <td>blue</td>\n      <td>194</td>\n      <td>4.750000</td>\n      <td>Rating</td>\n      <td>297-9981</td>\n    </tr>\n    <tr>\n      <th>932014057110</th>\n      <td>297</td>\n      <td>altitude sickness prevention</td>\n      <td>5</td>\n      <td>A314XJY8V1YL12</td>\n      <td>blue</td>\n      <td>368</td>\n      <td>4.750000</td>\n      <td>Rating</td>\n      <td>297-9981</td>\n    </tr>\n    <tr>\n      <th>947212223056</th>\n      <td>297</td>\n      <td>altitude sickness prevention</td>\n      <td>5</td>\n      <td>A1JO6AY55FG7QU</td>\n      <td>blue</td>\n      <td>224</td>\n      <td>4.750000</td>\n      <td>Rating</td>\n      <td>297-9981</td>\n    </tr>\n    <tr>\n      <th>948095247335</th>\n      <td>297</td>\n      <td>altitude sickness prevention</td>\n      <td>5</td>\n      <td>A13XMRE3EKZ715</td>\n      <td>blue</td>\n      <td>211</td>\n      <td>4.750000</td>\n      <td>Rating</td>\n      <td>297-9981</td>\n    </tr>\n    <tr>\n      <th>976189905893</th>\n      <td>297</td>\n      <td>altitude sickness prevention</td>\n      <td>5</td>\n      <td>A21HYG0E8SK3ZZ</td>\n      <td>blue</td>\n      <td>206</td>\n      <td>4.750000</td>\n      <td>Rating</td>\n      <td>297-9981</td>\n    </tr>\n  </tbody>\n</table>\n<p>10360 rows × 9 columns</p>\n</div>"
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "comb_df = comb_df.assign(qid=comb_df['query'].map(qdf.reset_index().set_index('query')['qid']))\n",
    "comb_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a37336b7-9d41-41ac-9cad-e5ad24a3db4c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [],
    "trusted": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ranking reg:\n",
      " ['slope=0.083', 'intercept=-0.031', 'rvalue=0.5', 'pvalue=5.7e-05', 'stderr=0.019']\n",
      "Rating reg:\n",
      " ['slope=0.091', 'intercept=-0.13', 'rvalue=0.49', 'pvalue=8.5e-05', 'stderr=0.021']\n"
     ]
    },
    {
     "data": {
      "text/plain": "<Figure size 1025.25x280 with 2 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_df = qdf_filtered.melt(id_vars=[f'nDCG@{k}', 'Topic'], value_vars=['Ranking', 'Rating'],\n",
    "                        value_name=\"Users' mean\").sort_values('Topic').rename(columns={f'nDCG@{k}': f'NDCG@{k}'})\n",
    "_rate_df = _df.loc[_df['variable'] == 'Rating']\n",
    "_rank_df = _df.loc[_df['variable'] == 'Ranking']\n",
    "\n",
    "x = \"Users' mean\"\n",
    "y = f'NDCG@{k}'\n",
    "markers = list(Line2D.filled_markers)\n",
    "for m in {'8', 'h', 'H'}:\n",
    "    markers.remove(m)\n",
    "\n",
    "_col_wrap = None\n",
    "g = sns.lmplot(data=_df, y=y, x=x, hue='Topic', col='variable', height=2.8, aspect=1.7, ci=None, fit_reg=False,\n",
    "               markers=markers, scatter_kws=dict(s=25), palette=\"icefire\", facet_kws=dict(sharey=False),\n",
    "               col_wrap=_col_wrap, col_order=['Ranking', 'Rating'])\n",
    "\n",
    "_rank_reg_res = stats.linregress(_rank_df[x], _rank_df[y])\n",
    "rank_label = f'$ \\hat{{y}}={_rank_reg_res.intercept:.3f} + {_rank_reg_res.slope:.3f}x $'\n",
    "\n",
    "if _col_wrap is None:\n",
    "    _rank_axes = g.axes[0, 0]\n",
    "    _rate_axes = g.axes[0, 1]\n",
    "else:\n",
    "    _rank_axes = g.axes[0]\n",
    "    _rate_axes = g.axes[1]\n",
    "\n",
    "rank_line, = _rank_axes.plot(_rank_df[x], _rank_reg_res.intercept + _rank_reg_res.slope * _rank_df[x],\n",
    "                             color='#224F62', label=rank_label)\n",
    "\n",
    "_rate_reg_res = stats.linregress(_rate_df[x], _rate_df[y])\n",
    "rate_label = f'$ \\hat{{y}}={_rate_reg_res.intercept:.3f} + {_rate_reg_res.slope:.3f}x $'\n",
    "rate_line, = _rate_axes.plot(_rate_df[x], _rate_reg_res.intercept + _rate_reg_res.slope * _rate_df[x],\n",
    "                             color='#224F62', label=rate_label)\n",
    "\n",
    "for ax in g.axes.flat:\n",
    "    ax.minorticks_on()\n",
    "\n",
    "g.map(plt.grid, b=True, which='major', axis='both', zorder=1, linewidth=1, ms=0)\n",
    "g.map(plt.grid, b=True, which='minor', axis='both', zorder=0, alpha=0.3, linewidth=0.5, ms=0)\n",
    "\n",
    "_rank_axes.text(.038, 0.92, rank_label, transform=_rank_axes.transAxes, rotation=0, size='small')\n",
    "_rate_axes.text(.038, 0.92, rate_label, transform=_rate_axes.transAxes, rotation=0, size='small')\n",
    "\n",
    "for ax in g.axes.flat:\n",
    "    ax.set_ylabel(y)\n",
    "for l in ax.lines + ax.collections:\n",
    "    l.set_zorder(5)\n",
    "\n",
    "g.set_titles(\"{col_name}\")\n",
    "plt.subplots_adjust(wspace=0.2)\n",
    "\n",
    "g.legend.set_frame_on(True)\n",
    "frame = g.legend.get_frame()\n",
    "frame.set_facecolor('white')\n",
    "frame.set_alpha(1)\n",
    "\n",
    "plt.savefig('plots/regplot_per_task.pdf', bbox_inches='tight')\n",
    "\n",
    "print('Ranking reg:\\n', [f'{k}={v:.2g}' for v, k in zip(_rank_reg_res, _rank_reg_res._fields)])\n",
    "print('Rating reg:\\n', [f'{k}={v:.2g}' for v, k in zip(_rate_reg_res, _rate_reg_res._fields)])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4576357b-fb6d-42fc-adaa-55e9aa514396",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.09078630202419376\n",
      "0.0827509456769095\n"
     ]
    }
   ],
   "source": [
    "# get coeffs of linear fit\n",
    "_df = qdf_filtered.melt(id_vars=[f'nDCG@{k}', 'Topic'], value_vars=['Rating', 'Ranking'],\n",
    "                        value_name=\"User's mean\").sort_values('Topic')\n",
    "\n",
    "for df in [_rate_df, _rank_df]:\n",
    "    slope, intercept, r_value, p_value, std_err = stats.linregress(df[x], df[y])\n",
    "    print(slope)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "21845786-ee6b-4d7f-a9e0-80363f571948",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "tags": [],
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                                                    query   nDCG@10 Topic  \\\nqid                                                                         \n261-2222                          sore throat home remedy  0.514984   261   \n261-5906                                      sore throat  0.207764   261   \n261-6263                           home care cough remedy  0.094559   261   \n261-3964             what can i use to cure a sore throat  0.360681   261   \n261-4857  what are some homemade remedy for a sore throat  0.305223   261   \n\n            Rating   Ranking  \nqid                           \n261-2222  4.845238  4.433333  \n261-5906  2.476190  1.577778  \n261-6263  3.238095  2.011111  \n261-3964  4.071429  2.888889  \n261-4857  4.642857  4.088889  ",
      "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>query</th>\n      <th>nDCG@10</th>\n      <th>Topic</th>\n      <th>Rating</th>\n      <th>Ranking</th>\n    </tr>\n    <tr>\n      <th>qid</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>261-2222</th>\n      <td>sore throat home remedy</td>\n      <td>0.514984</td>\n      <td>261</td>\n      <td>4.845238</td>\n      <td>4.433333</td>\n    </tr>\n    <tr>\n      <th>261-5906</th>\n      <td>sore throat</td>\n      <td>0.207764</td>\n      <td>261</td>\n      <td>2.476190</td>\n      <td>1.577778</td>\n    </tr>\n    <tr>\n      <th>261-6263</th>\n      <td>home care cough remedy</td>\n      <td>0.094559</td>\n      <td>261</td>\n      <td>3.238095</td>\n      <td>2.011111</td>\n    </tr>\n    <tr>\n      <th>261-3964</th>\n      <td>what can i use to cure a sore throat</td>\n      <td>0.360681</td>\n      <td>261</td>\n      <td>4.071429</td>\n      <td>2.888889</td>\n    </tr>\n    <tr>\n      <th>261-4857</th>\n      <td>what are some homemade remedy for a sore throat</td>\n      <td>0.305223</td>\n      <td>261</td>\n      <td>4.642857</td>\n      <td>4.088889</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# qdf_filtered.assign(topic=qdf_filtered.index.map(comb_df['topic']))\n",
    "qdf_filtered.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "0af2bdd6-d0a5-4636-bce6-34516da47780",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "      nDCG@10 Topic variable  User's mean\n0    0.514984   261   Rating     4.845238\n1    0.207764   261   Rating     2.476190\n2    0.094559   261   Rating     3.238095\n3    0.360681   261   Rating     4.071429\n4    0.305223   261   Rating     4.642857\n..        ...   ...      ...          ...\n115  0.544897   286  Ranking     3.892473\n116  0.212521   286  Ranking     2.935484\n117  0.109451   286  Ranking     1.258065\n118  0.155850   286  Ranking     3.580645\n119  0.548159   286  Ranking     3.333333\n\n[120 rows x 4 columns]",
      "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>nDCG@10</th>\n      <th>Topic</th>\n      <th>variable</th>\n      <th>User's mean</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0.514984</td>\n      <td>261</td>\n      <td>Rating</td>\n      <td>4.845238</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0.207764</td>\n      <td>261</td>\n      <td>Rating</td>\n      <td>2.476190</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0.094559</td>\n      <td>261</td>\n      <td>Rating</td>\n      <td>3.238095</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0.360681</td>\n      <td>261</td>\n      <td>Rating</td>\n      <td>4.071429</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0.305223</td>\n      <td>261</td>\n      <td>Rating</td>\n      <td>4.642857</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>115</th>\n      <td>0.544897</td>\n      <td>286</td>\n      <td>Ranking</td>\n      <td>3.892473</td>\n    </tr>\n    <tr>\n      <th>116</th>\n      <td>0.212521</td>\n      <td>286</td>\n      <td>Ranking</td>\n      <td>2.935484</td>\n    </tr>\n    <tr>\n      <th>117</th>\n      <td>0.109451</td>\n      <td>286</td>\n      <td>Ranking</td>\n      <td>1.258065</td>\n    </tr>\n    <tr>\n      <th>118</th>\n      <td>0.155850</td>\n      <td>286</td>\n      <td>Ranking</td>\n      <td>3.580645</td>\n    </tr>\n    <tr>\n      <th>119</th>\n      <td>0.548159</td>\n      <td>286</td>\n      <td>Ranking</td>\n      <td>3.333333</td>\n    </tr>\n  </tbody>\n</table>\n<p>120 rows × 4 columns</p>\n</div>"
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qdf_filtered.melt(id_vars=[f'nDCG@{k}', 'Topic'], value_vars=['Rating', 'Ranking'], value_name=\"User's mean\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5adb73f4-34c2-46db-89f0-fc8e1c94b7fd",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "        method  topic           rid                                     query  \\\n0      Ranking    213   12404386894                    carpal tunnel syndrome   \n1      Ranking    213   12404386894            what is carpal tunnel syndrome   \n2      Ranking    213   12404386894               carpal tunnel syndrome wiki   \n3      Ranking    213   12404386894                             carpal tunnel   \n4      Ranking    213   12404386894                              cts syndrome   \n...        ...    ...           ...                                       ...   \n10355   Rating    297  976386207551                         altitude sickness   \n10356   Rating    297  976386207551  mexico city altitude sickness prevention   \n10357   Rating    297  976386207551         how to overcome altitude sickness   \n10358   Rating    297  976386207551           treatment for altitude sickness   \n10359   Rating    297  976386207551              altitude sickness prevention   \n\n       value             wid batch  duration  query_mean       qid  \\\n0          4  A39MKVROUZ1UWR   red       204    1.911111  213-2264   \n1          5  A39MKVROUZ1UWR   red       204    1.933333  213-5606   \n2          3  A39MKVROUZ1UWR   red       204    2.877778  213-5173   \n3          2  A39MKVROUZ1UWR   red       204    3.655556  213-7111   \n4          1  A39MKVROUZ1UWR   red       204    4.622222  213-2326   \n...      ...             ...   ...       ...         ...       ...   \n10355      3  A1YH2I4Y2SYAXJ  blue       328    3.297619  297-3878   \n10356      5  A1YH2I4Y2SYAXJ  blue       328    4.226190  297-5173   \n10357      4  A1YH2I4Y2SYAXJ  blue       328    4.416667  297-7913   \n10358      4  A1YH2I4Y2SYAXJ  blue       328    4.523810  297-9743   \n10359      3  A1YH2I4Y2SYAXJ  blue       328    4.750000  297-9981   \n\n       user_nDCG@10                                user_query  \n0          0.221163                    symptoms carpal tunnel  \n1          0.221163                    symptoms carpal tunnel  \n2          0.221163                    symptoms carpal tunnel  \n3          0.221163                    symptoms carpal tunnel  \n4          0.221163                    symptoms carpal tunnel  \n...             ...                                       ...  \n10355      0.264538  mexico city altitude sickness prevention  \n10356      0.264538  mexico city altitude sickness prevention  \n10357      0.264538  mexico city altitude sickness prevention  \n10358      0.264538  mexico city altitude sickness prevention  \n10359      0.264538  mexico city altitude sickness prevention  \n\n[10360 rows x 12 columns]",
      "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>method</th>\n      <th>topic</th>\n      <th>rid</th>\n      <th>query</th>\n      <th>value</th>\n      <th>wid</th>\n      <th>batch</th>\n      <th>duration</th>\n      <th>query_mean</th>\n      <th>qid</th>\n      <th>user_nDCG@10</th>\n      <th>user_query</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Ranking</td>\n      <td>213</td>\n      <td>12404386894</td>\n      <td>carpal tunnel syndrome</td>\n      <td>4</td>\n      <td>A39MKVROUZ1UWR</td>\n      <td>red</td>\n      <td>204</td>\n      <td>1.911111</td>\n      <td>213-2264</td>\n      <td>0.221163</td>\n      <td>symptoms carpal tunnel</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Ranking</td>\n      <td>213</td>\n      <td>12404386894</td>\n      <td>what is carpal tunnel syndrome</td>\n      <td>5</td>\n      <td>A39MKVROUZ1UWR</td>\n      <td>red</td>\n      <td>204</td>\n      <td>1.933333</td>\n      <td>213-5606</td>\n      <td>0.221163</td>\n      <td>symptoms carpal tunnel</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Ranking</td>\n      <td>213</td>\n      <td>12404386894</td>\n      <td>carpal tunnel syndrome wiki</td>\n      <td>3</td>\n      <td>A39MKVROUZ1UWR</td>\n      <td>red</td>\n      <td>204</td>\n      <td>2.877778</td>\n      <td>213-5173</td>\n      <td>0.221163</td>\n      <td>symptoms carpal tunnel</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Ranking</td>\n      <td>213</td>\n      <td>12404386894</td>\n      <td>carpal tunnel</td>\n      <td>2</td>\n      <td>A39MKVROUZ1UWR</td>\n      <td>red</td>\n      <td>204</td>\n      <td>3.655556</td>\n      <td>213-7111</td>\n      <td>0.221163</td>\n      <td>symptoms carpal tunnel</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Ranking</td>\n      <td>213</td>\n      <td>12404386894</td>\n      <td>cts syndrome</td>\n      <td>1</td>\n      <td>A39MKVROUZ1UWR</td>\n      <td>red</td>\n      <td>204</td>\n      <td>4.622222</td>\n      <td>213-2326</td>\n      <td>0.221163</td>\n      <td>symptoms carpal tunnel</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>10355</th>\n      <td>Rating</td>\n      <td>297</td>\n      <td>976386207551</td>\n      <td>altitude sickness</td>\n      <td>3</td>\n      <td>A1YH2I4Y2SYAXJ</td>\n      <td>blue</td>\n      <td>328</td>\n      <td>3.297619</td>\n      <td>297-3878</td>\n      <td>0.264538</td>\n      <td>mexico city altitude sickness prevention</td>\n    </tr>\n    <tr>\n      <th>10356</th>\n      <td>Rating</td>\n      <td>297</td>\n      <td>976386207551</td>\n      <td>mexico city altitude sickness prevention</td>\n      <td>5</td>\n      <td>A1YH2I4Y2SYAXJ</td>\n      <td>blue</td>\n      <td>328</td>\n      <td>4.226190</td>\n      <td>297-5173</td>\n      <td>0.264538</td>\n      <td>mexico city altitude sickness prevention</td>\n    </tr>\n    <tr>\n      <th>10357</th>\n      <td>Rating</td>\n      <td>297</td>\n      <td>976386207551</td>\n      <td>how to overcome altitude sickness</td>\n      <td>4</td>\n      <td>A1YH2I4Y2SYAXJ</td>\n      <td>blue</td>\n      <td>328</td>\n      <td>4.416667</td>\n      <td>297-7913</td>\n      <td>0.264538</td>\n      <td>mexico city altitude sickness prevention</td>\n    </tr>\n    <tr>\n      <th>10358</th>\n      <td>Rating</td>\n      <td>297</td>\n      <td>976386207551</td>\n      <td>treatment for altitude sickness</td>\n      <td>4</td>\n      <td>A1YH2I4Y2SYAXJ</td>\n      <td>blue</td>\n      <td>328</td>\n      <td>4.523810</td>\n      <td>297-9743</td>\n      <td>0.264538</td>\n      <td>mexico city altitude sickness prevention</td>\n    </tr>\n    <tr>\n      <th>10359</th>\n      <td>Rating</td>\n      <td>297</td>\n      <td>976386207551</td>\n      <td>altitude sickness prevention</td>\n      <td>3</td>\n      <td>A1YH2I4Y2SYAXJ</td>\n      <td>blue</td>\n      <td>328</td>\n      <td>4.750000</td>\n      <td>297-9981</td>\n      <td>0.264538</td>\n      <td>mexico city altitude sickness prevention</td>\n    </tr>\n  </tbody>\n</table>\n<p>10360 rows × 12 columns</p>\n</div>"
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "_comb_df = comb_df.reset_index().set_index(['method', 'topic', 'rid']).merge(\n",
    "    all_user_queries.set_index(['method', 'topic', 'rid'])[[f'user_nDCG@{k}', 'user_query']], left_index=True,\n",
    "    right_index=True)\n",
    "_comb_df = _comb_df.reset_index()\n",
    "comb_df = _comb_df\n",
    "comb_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6a8641a3-3231-4759-9e94-95edaa0c42cc",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [],
   "source": [
    "# sns.regplot(data=df[['user_nDCG@10', 'selected_nDCG']], x='user_nDCG@10', y='selected_nDCG')\n",
    "# _df = df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "96a7583b-0c05-4c4d-8c66-6c0deb86d41b",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                                                    query   nDCG@10 Topic  \\\nqid                                                                         \n261-2222                          sore throat home remedy  0.514984   261   \n261-5906                                      sore throat  0.207764   261   \n261-6263                           home care cough remedy  0.094559   261   \n261-3964             what can i use to cure a sore throat  0.360681   261   \n261-4857  what are some homemade remedy for a sore throat  0.305223   261   \n\n            Rating   Ranking       qpp  \nqid                                     \n261-2222  4.845238  4.433333  2.251813  \n261-5906  2.476190  1.577778  0.865915  \n261-6263  3.238095  2.011111  1.282019  \n261-3964  4.071429  2.888889  1.779842  \n261-4857  4.642857  4.088889  1.702424  ",
      "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>query</th>\n      <th>nDCG@10</th>\n      <th>Topic</th>\n      <th>Rating</th>\n      <th>Ranking</th>\n      <th>qpp</th>\n    </tr>\n    <tr>\n      <th>qid</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>261-2222</th>\n      <td>sore throat home remedy</td>\n      <td>0.514984</td>\n      <td>261</td>\n      <td>4.845238</td>\n      <td>4.433333</td>\n      <td>2.251813</td>\n    </tr>\n    <tr>\n      <th>261-5906</th>\n      <td>sore throat</td>\n      <td>0.207764</td>\n      <td>261</td>\n      <td>2.476190</td>\n      <td>1.577778</td>\n      <td>0.865915</td>\n    </tr>\n    <tr>\n      <th>261-6263</th>\n      <td>home care cough remedy</td>\n      <td>0.094559</td>\n      <td>261</td>\n      <td>3.238095</td>\n      <td>2.011111</td>\n      <td>1.282019</td>\n    </tr>\n    <tr>\n      <th>261-3964</th>\n      <td>what can i use to cure a sore throat</td>\n      <td>0.360681</td>\n      <td>261</td>\n      <td>4.071429</td>\n      <td>2.888889</td>\n      <td>1.779842</td>\n    </tr>\n    <tr>\n      <th>261-4857</th>\n      <td>what are some homemade remedy for a sore throat</td>\n      <td>0.305223</td>\n      <td>261</td>\n      <td>4.642857</td>\n      <td>4.088889</td>\n      <td>1.702424</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qpp_df = pd.read_csv('data/qpp_sd_top-50_survey.qpp', names=['qid', 'sd-60'], header=0, index_col='qid')\n",
    "qpp_df.head()\n",
    "qdf_filtered = qdf_filtered.assign(qpp=qpp_df)\n",
    "qdf_filtered.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "40640fe1-9c95-423f-91ff-3fd6d91ae65c",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pearson:\n",
      "|         |   nDCG@10 |   Rating |   Ranking |   qpp |\n",
      "|:--------|----------:|---------:|----------:|------:|\n",
      "| nDCG@10 |      1.00 |     0.49 |      0.50 |  0.46 |\n",
      "| Rating  |      0.49 |     1.00 |      0.90 |  0.57 |\n",
      "| Ranking |      0.50 |     0.90 |      1.00 |  0.52 |\n",
      "| qpp     |      0.46 |     0.57 |      0.52 |  1.00 |\n",
      "\n",
      "Spearman:\n",
      "|         |   nDCG@10 |   Rating |   Ranking |   qpp |\n",
      "|:--------|----------:|---------:|----------:|------:|\n",
      "| nDCG@10 |      1.00 |     0.50 |      0.51 |  0.43 |\n",
      "| Rating  |      0.50 |     1.00 |      0.91 |  0.58 |\n",
      "| Ranking |      0.51 |     0.91 |      1.00 |  0.50 |\n",
      "| qpp     |      0.43 |     0.58 |      0.50 |  1.00 |\n",
      "\n",
      "Kendall:\n",
      "|         |   nDCG@10 |   Rating |   Ranking |   qpp |\n",
      "|:--------|----------:|---------:|----------:|------:|\n",
      "| nDCG@10 |      1.00 |     0.36 |      0.36 |  0.28 |\n",
      "| Rating  |      0.36 |     1.00 |      0.76 |  0.40 |\n",
      "| Ranking |      0.36 |     0.76 |      1.00 |  0.34 |\n",
      "| qpp     |      0.28 |     0.40 |      0.34 |  1.00 |\n"
     ]
    }
   ],
   "source": [
    "print('Pearson:')\n",
    "print(qdf_filtered.corr(method='pearson').to_markdown(floatfmt='.2f'))\n",
    "print('\\nSpearman:')\n",
    "print(qdf_filtered.corr(method='spearman').to_markdown(floatfmt='.2f'))\n",
    "print('\\nKendall:')\n",
    "print(qdf_filtered.corr(method='kendall').to_markdown(floatfmt='.2f'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "feaadda7-acf4-43d3-9f47-9942170fa122",
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    },
    "trusted": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                                                    query   nDCG@10 Topic  \\\nqid                                                                         \n261-2222                          sore throat home remedy  0.514984   261   \n261-5906                                      sore throat  0.207764   261   \n261-6263                           home care cough remedy  0.094559   261   \n261-3964             what can i use to cure a sore throat  0.360681   261   \n261-4857  what are some homemade remedy for a sore throat  0.305223   261   \n\n            Rating   Ranking       qpp  \nqid                                     \n261-2222  4.845238  4.433333  2.251813  \n261-5906  2.476190  1.577778  0.865915  \n261-6263  3.238095  2.011111  1.282019  \n261-3964  4.071429  2.888889  1.779842  \n261-4857  4.642857  4.088889  1.702424  ",
      "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>query</th>\n      <th>nDCG@10</th>\n      <th>Topic</th>\n      <th>Rating</th>\n      <th>Ranking</th>\n      <th>qpp</th>\n    </tr>\n    <tr>\n      <th>qid</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>261-2222</th>\n      <td>sore throat home remedy</td>\n      <td>0.514984</td>\n      <td>261</td>\n      <td>4.845238</td>\n      <td>4.433333</td>\n      <td>2.251813</td>\n    </tr>\n    <tr>\n      <th>261-5906</th>\n      <td>sore throat</td>\n      <td>0.207764</td>\n      <td>261</td>\n      <td>2.476190</td>\n      <td>1.577778</td>\n      <td>0.865915</td>\n    </tr>\n    <tr>\n      <th>261-6263</th>\n      <td>home care cough remedy</td>\n      <td>0.094559</td>\n      <td>261</td>\n      <td>3.238095</td>\n      <td>2.011111</td>\n      <td>1.282019</td>\n    </tr>\n    <tr>\n      <th>261-3964</th>\n      <td>what can i use to cure a sore throat</td>\n      <td>0.360681</td>\n      <td>261</td>\n      <td>4.071429</td>\n      <td>2.888889</td>\n      <td>1.779842</td>\n    </tr>\n    <tr>\n      <th>261-4857</th>\n      <td>what are some homemade remedy for a sore throat</td>\n      <td>0.305223</td>\n      <td>261</td>\n      <td>4.642857</td>\n      <td>4.088889</td>\n      <td>1.702424</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qdf_filtered.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1000x1000 with 20 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(qdf_filtered[['nDCG@10', 'Rating', 'Ranking', 'qpp']], kind='reg')\n",
    "plt.savefig('plots/pairsplot.pdf')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.5"
  },
  "toc-autonumbering": false,
  "toc-showcode": false,
  "toc-showmarkdowntxt": false,
  "toc-showtags": false
 },
 "nbformat": 4,
 "nbformat_minor": 5
}