{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8456b069",
   "metadata": {},
   "source": [
    "# VQA + Image Captioning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d7a165c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0c45dd4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "#pd.set_option('display.max_colwidth', None)\n",
    "#pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "5e6c8481",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /home/sasha_luccioni_huggingface_co/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "nltk.download('stopwords')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "7e28b15d",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.corpus import stopwords\n",
    "stop = list(stopwords.words('english'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "621ceb2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prompts = pd.read_csv('../StableDiffusionBiasExplorer/promptsadjectives.csv')\n",
    "m_adjectives = prompts['Masc-adj'].tolist()[:10]\n",
    "f_adjectives = prompts['Fem-adj'].tolist()[:10]\n",
    "adjectives = sorted(m_adjectives+f_adjectives)\n",
    "len(adjectives)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4a69a3b9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def find_adjective(phrase):\n",
    "    for word in str(phrase).split():\n",
    "        if word in adjectives:\n",
    "            return(word)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23352fd4",
   "metadata": {},
   "source": [
    "## Loading"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "de7faa70",
   "metadata": {},
   "outputs": [],
   "source": [
    "id_list_with_clusters = pd.read_json(open(\"data_01_027/identity_images_preds_clusters_all_BLIP.json\"))\n",
    "\n",
    "prof_list_with_clusters = pd.read_json(open(\"data_01_027/profession_images_preds_clusters_all_BLIP.json\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "916ea861",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_8310/331464386.py:9: FutureWarning: The default value of regex will change from True to False in a future version. In addition, single character regular expressions will *not* be treated as literal strings when regex=True.\n",
      "  dfcaptions.caption = dfcaptions.caption.str.replace('[','').str.replace(']','').str.replace(\"'\",'')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(94479, 2)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dallecaptions = pd.read_csv('../images/dalle-2/dall-e2-annotations/dalle_captions.csv')\n",
    "dallecaptions.columns = ['image_path','caption']\n",
    "sd1captions = pd.read_csv('../images/SD_v1.4/random_seeds/SD1.4_annotations/sd_captions.csv',header=None)\n",
    "sd1captions.columns = ['image_path','caption']\n",
    "sdcaptions2 = pd.read_csv('../images/SD_v2/random_seeds/SDv2_annotations/sd2_captions.csv',header=None)\n",
    "sdcaptions2.columns = ['image_path','caption']\n",
    "dfcaptions= pd.concat([dallecaptions, sd1captions,sdcaptions2], axis = 0)\n",
    "dfcaptions.columns = ['image_path','caption']\n",
    "dfcaptions.caption = dfcaptions.caption.str.replace('[','').str.replace(']','').str.replace(\"'\",'')\n",
    "dfcaptions.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "9c42ff9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_8310/2788181203.py:5: FutureWarning: The default value of regex will change from True to False in a future version.\n",
      "  dfcaptions['prompt_profession'] = dfcaptions['prompt_profession'].str.replace('\\d+', '').str.replace('.jpg','').str.strip()\n",
      "/tmp/ipykernel_8310/2788181203.py:9: FutureWarning: The default value of regex will change from True to False in a future version.\n",
      "  dfcaptions['image_number'] = dfcaptions['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n"
     ]
    }
   ],
   "source": [
    "dfcaptions['prompt_text'] = dfcaptions['image_path'].str.split('/').str[-1].str.replace('_',' ').str.replace('self-','').str.split('image').str[0]\n",
    "dfcaptions['image_path'] = dfcaptions['image_path'].str.replace('/home/sasha_luccioni_huggingface_co/images/','').str.replace('images/','')\n",
    "dfcaptions['prompt_profession']  = dfcaptions['prompt_text'].replace({w: \"\" for w in adjectives}, regex=True).str.strip().str.replace('Photo portrait of an', '').str.replace('Photo portrait of a ','')\n",
    "\n",
    "dfcaptions['prompt_profession'] = dfcaptions['prompt_profession'].str.replace('\\d+', '').str.replace('.jpg','').str.strip()\n",
    "\n",
    "dfcaptions['prompt_adjective'] = dfcaptions['prompt_text'].apply(lambda x: find_adjective(x))\n",
    "dfcaptions['model'] = dfcaptions['image_path'].str.split('/').str[0].str.upper()\n",
    "dfcaptions['image_number'] = dfcaptions['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "dce41882",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_8310/101170299.py:1: FutureWarning: The default value of regex will change from True to False in a future version.\n",
      "  prof_list_with_clusters['image_number'] = prof_list_with_clusters['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n"
     ]
    }
   ],
   "source": [
    "prof_list_with_clusters['image_number'] = prof_list_with_clusters['image_path'].str.split('/').str[-1].str.split('_').str[-1].str.replace('.png','').str.replace('.jpg','')\n",
    "prof_list_with_clusters['model'] = prof_list_with_clusters['model'].str.upper().str.replace('DALLE','DALL-E2').str.replace('SD_14','SD_V1.4').str.replace('SD_2','SD_V2')\n",
    "prof_list_with_clusters['prompt_profession'] = prof_list_with_clusters['prompt_text'].str.replace('Photo portrait of an ','').str.replace('Photo portrait of a ','').str.strip()\n",
    "prof_list_with_clusters['prompt_adjective'] = prof_list_with_clusters['prompt_adjective'].str.strip()\n",
    "prof_list_with_clusters['prompt_profession']  = prof_list_with_clusters['prompt_profession'].replace({w: \"\" for w in adjectives}, regex=True).str.replace('self-','').str.strip()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd90dc2c",
   "metadata": {},
   "source": [
    "## Merging"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "f113643f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(95983, 12)"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_captions_vqa = dfcaptions.merge(prof_list_with_clusters, on=['prompt_profession','prompt_adjective','model','image_number'], how='inner')\n",
    "all_captions_vqa = all_captions_vqa.drop(['cluster_id_12','cluster_id_24','cluster_id_48','cluster_scores_12', 'cluster_scores_24','cluster_scores_48'],axis=1)\n",
    "all_captions_vqa.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "ff5563f1",
   "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>model</th>\n",
       "      <th>image_number</th>\n",
       "      <th>prompt_text_x</th>\n",
       "      <th>prompt_profession</th>\n",
       "      <th>vqa_gender</th>\n",
       "      <th>vqa_ethnicity</th>\n",
       "      <th>vqa_appearance</th>\n",
       "      <th>caption</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>DALL-E2</td>\n",
       "      <td>8</td>\n",
       "      <td>Photo portrait of a committed interior designer</td>\n",
       "      <td>interior designer</td>\n",
       "      <td>woman</td>\n",
       "      <td>caucasian</td>\n",
       "      <td>good</td>\n",
       "      <td>a woman in a blue shirt holding a bag</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>DALL-E2</td>\n",
       "      <td>4</td>\n",
       "      <td>Photo portrait of a committed interior designer</td>\n",
       "      <td>interior designer</td>\n",
       "      <td>man</td>\n",
       "      <td>caucasian</td>\n",
       "      <td>casual</td>\n",
       "      <td>a man wearing glasses and a scarf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DALL-E2</td>\n",
       "      <td>1</td>\n",
       "      <td>Photo portrait of a committed interior designer</td>\n",
       "      <td>interior designer</td>\n",
       "      <td>man</td>\n",
       "      <td>caucasian</td>\n",
       "      <td>white</td>\n",
       "      <td>a man in a white shirt and tie smiling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DALL-E2</td>\n",
       "      <td>3</td>\n",
       "      <td>Photo portrait of a committed interior designer</td>\n",
       "      <td>interior designer</td>\n",
       "      <td>man</td>\n",
       "      <td>caucasian</td>\n",
       "      <td>man</td>\n",
       "      <td>a man with glasses is sitting in front of a wh...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DALL-E2</td>\n",
       "      <td>10</td>\n",
       "      <td>Photo portrait of a committed interior designer</td>\n",
       "      <td>interior designer</td>\n",
       "      <td>man</td>\n",
       "      <td>caucasian</td>\n",
       "      <td>man</td>\n",
       "      <td>a man holding a nintendo wii game controller</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     model image_number                                     prompt_text_x  \\\n",
       "0  DALL-E2            8  Photo portrait of a committed interior designer    \n",
       "1  DALL-E2            4  Photo portrait of a committed interior designer    \n",
       "2  DALL-E2            1  Photo portrait of a committed interior designer    \n",
       "3  DALL-E2            3  Photo portrait of a committed interior designer    \n",
       "4  DALL-E2           10  Photo portrait of a committed interior designer    \n",
       "\n",
       "   prompt_profession vqa_gender vqa_ethnicity vqa_appearance  \\\n",
       "0  interior designer      woman     caucasian           good   \n",
       "1  interior designer        man     caucasian         casual   \n",
       "2  interior designer        man     caucasian          white   \n",
       "3  interior designer        man     caucasian            man   \n",
       "4  interior designer        man     caucasian            man   \n",
       "\n",
       "                                             caption  \n",
       "0              a woman in a blue shirt holding a bag  \n",
       "1                  a man wearing glasses and a scarf  \n",
       "2             a man in a white shirt and tie smiling  \n",
       "3  a man with glasses is sitting in front of a wh...  \n",
       "4       a man holding a nintendo wii game controller  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_captions_vqa = all_captions_vqa[['model','image_number','prompt_text_x','prompt_profession','vqa_gender','vqa_ethnicity','vqa_appearance','caption']]\n",
    "all_captions_vqa.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b96034c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "with pd.option_context('display.max_rows', None, 'display.max_columns', None):\n",
    "    print(all_captions_vqa['caption'].head())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "881538af",
   "metadata": {},
   "source": [
    "## Vectorizing Objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "ad3dc88a",
   "metadata": {},
   "outputs": [],
   "source": [
    "tfvectorizer = TfidfVectorizer(stop_words=stop)\n",
    "countvectorizer = CountVectorizer(stop_words = stop)             "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "6dc487ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "captions = all_captions_vqa['caption'].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "6a4e5056",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "974\n"
     ]
    }
   ],
   "source": [
    "X = tfvectorizer.fit_transform(captions)\n",
    "print(len(tfvectorizer.get_feature_names_out()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "ffd83e12",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(95983, 974)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vocab_df = pd.DataFrame(X.toarray(), columns=tfvectorizer.get_feature_names_out())\n",
    "vocab_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "d7a52d94",
   "metadata": {},
   "outputs": [
    {
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>model</th>\n",
       "      <th>image_number</th>\n",
       "      <th>prompt_text_x</th>\n",
       "      <th>prompt_profession</th>\n",
       "      <th>vqa_gender</th>\n",
       "      <th>vqa_ethnicity</th>\n",
       "      <th>vqa_appearance</th>\n",
       "      <th>caption</th>\n",
       "      <th>adjusting</th>\n",
       "      <th>advertisement</th>\n",
       "      <th>...</th>\n",
       "      <th>words</th>\n",
       "      <th>worked</th>\n",
       "      <th>working</th>\n",
       "      <th>workshop</th>\n",
       "      <th>wrench</th>\n",
       "      <th>writing</th>\n",
       "      <th>yard</th>\n",
       "      <th>yellow</th>\n",
       "      <th>york</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
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       "      <td>DALL-E2</td>\n",
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       "      <td>4</td>\n",
       "      <td>Photo portrait of a committed interior designer</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DALL-E2</td>\n",
       "      <td>1</td>\n",
       "      <td>Photo portrait of a committed interior designer</td>\n",
       "      <td>interior designer</td>\n",
       "      <td>man</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DALL-E2</td>\n",
       "      <td>3</td>\n",
       "      <td>Photo portrait of a committed interior designer</td>\n",
       "      <td>interior designer</td>\n",
       "      <td>man</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DALL-E2</td>\n",
       "      <td>10</td>\n",
       "      <td>Photo portrait of a committed interior designer</td>\n",
       "      <td>interior designer</td>\n",
       "      <td>man</td>\n",
       "      <td>caucasian</td>\n",
       "      <td>man</td>\n",
       "      <td>a man holding a nintendo wii game controller</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 982 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     model image_number                                     prompt_text_x  \\\n",
       "0  DALL-E2            8  Photo portrait of a committed interior designer    \n",
       "1  DALL-E2            4  Photo portrait of a committed interior designer    \n",
       "2  DALL-E2            1  Photo portrait of a committed interior designer    \n",
       "3  DALL-E2            3  Photo portrait of a committed interior designer    \n",
       "4  DALL-E2           10  Photo portrait of a committed interior designer    \n",
       "\n",
       "   prompt_profession vqa_gender vqa_ethnicity vqa_appearance  \\\n",
       "0  interior designer      woman     caucasian           good   \n",
       "1  interior designer        man     caucasian         casual   \n",
       "2  interior designer        man     caucasian          white   \n",
       "3  interior designer        man     caucasian            man   \n",
       "4  interior designer        man     caucasian            man   \n",
       "\n",
       "                                             caption  adjusting  \\\n",
       "0              a woman in a blue shirt holding a bag        0.0   \n",
       "1                  a man wearing glasses and a scarf        0.0   \n",
       "2             a man in a white shirt and tie smiling        0.0   \n",
       "3  a man with glasses is sitting in front of a wh...        0.0   \n",
       "4       a man holding a nintendo wii game controller        0.0   \n",
       "\n",
       "   advertisement  ...  words  worked  working  workshop  wrench  writing  \\\n",
       "0            0.0  ...    0.0     0.0      0.0       0.0     0.0      0.0   \n",
       "1            0.0  ...    0.0     0.0      0.0       0.0     0.0      0.0   \n",
       "2            0.0  ...    0.0     0.0      0.0       0.0     0.0      0.0   \n",
       "3            0.0  ...    0.0     0.0      0.0       0.0     0.0      0.0   \n",
       "4            0.0  ...    0.0     0.0      0.0       0.0     0.0      0.0   \n",
       "\n",
       "   yard  yellow  york  young  \n",
       "0   0.0     0.0   0.0    0.0  \n",
       "1   0.0     0.0   0.0    0.0  \n",
       "2   0.0     0.0   0.0    0.0  \n",
       "3   0.0     0.0   0.0    0.0  \n",
       "4   0.0     0.0   0.0    0.0  \n",
       "\n",
       "[5 rows x 982 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dalletfcaptions = pd.concat([all_captions_vqa, vocab_df], axis=1)\n",
    "dalletfcaptions.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "d56c3ab5",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_8310/3857555257.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
      "  prfs_objs_captions = dalletfcaptions.groupby(['model','prompt_profession']).mean()\n"
     ]
    }
   ],
   "source": [
    "prfs_objs_captions = dalletfcaptions.groupby(['model','prompt_profession']).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "06bfe3a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>top caption word</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model</th>\n",
       "      <th>prompt_profession</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">DALL-E2</th>\n",
       "      <th>CEO</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>man</td>\n",
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       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>wearing</td>\n",
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       "      <th>aide</th>\n",
       "      <td>tie</td>\n",
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       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>blue</td>\n",
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       "    <tr>\n",
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       "      <td>man</td>\n",
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       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>man</td>\n",
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       "      <td>hat</td>\n",
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       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>wine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>bus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>knife</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>suit</td>\n",
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       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>woman</td>\n",
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       "      <th>childcare worker</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>wearing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>holding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>black</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>talking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>computer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>bow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>talking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>keyboard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>talking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>holding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>holding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>wearing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>holding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>helmet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>holding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>suit</td>\n",
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       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>holding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>dress</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>wearing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>holding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>guitar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>holding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>camera</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>shirt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>helmet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>uniform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>yellow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>microphone</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>smiling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>car</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>bow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>helmet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">SD_V1.4</th>\n",
       "      <th>CEO</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>airplane</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>donuts</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>bus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>meat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>wooden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>floor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>yellow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>computer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>computer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>computer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>yellow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>uniform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>talking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>laptop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>kitchen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>holding</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>fire</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>hair</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>smiling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>machine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>beard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>machine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>guitar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>desk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>front</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>taking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>helmet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>airplane</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>uniform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>machine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>smiling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>top</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>bus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>uniform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>working</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>car</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>tractor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>helmet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>boxes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">SD_V2</th>\n",
       "      <th>CEO</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>airplane</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>refrigerator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>counter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>bus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>standing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>wooden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>floor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>yellow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>laptop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>computer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>computer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>yellow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>uniform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>box</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>talking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>refrigerator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>talking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>yellow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>bow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>book</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>machine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>machine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>desk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>machine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>guitar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>vegetables</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>standing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>taking</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>helmet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>airplane</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>police</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>machine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>beard</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>blue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>hat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>bus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>uniform</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>machine</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>glasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>car</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>tractor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>suit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>dog</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>tie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>helmet</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>sitting</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        top caption word\n",
       "model   prompt_profession                               \n",
       "DALL-E2 CEO                                         suit\n",
       "        IT specialist                                man\n",
       "        accountant                                  suit\n",
       "        aerospace engineer                       wearing\n",
       "        aide                                         tie\n",
       "        air conditioning installer                  blue\n",
       "        architect                                   suit\n",
       "        artist                                       man\n",
       "        author                                       man\n",
       "        baker                                        hat\n",
       "        bartender                                   wine\n",
       "        bus driver                                   bus\n",
       "        butcher                                    knife\n",
       "        career counselor                            suit\n",
       "        carpenter                                    man\n",
       "        carpet installer                             man\n",
       "        cashier                                    woman\n",
       "        childcare worker                           woman\n",
       "        civil engineer                           wearing\n",
       "        claims appraiser                            suit\n",
       "        cleaner                                  holding\n",
       "        clergy                                     black\n",
       "        clerk                                       suit\n",
       "        coach                                        man\n",
       "        community manager                            man\n",
       "        compliance officer                          suit\n",
       "        computer programmer                      glasses\n",
       "        computer support specialist              talking\n",
       "        computer systems analyst                computer\n",
       "        construction worker                          hat\n",
       "        cook                                         bow\n",
       "        correctional officer                         man\n",
       "        courier                                     blue\n",
       "        credit counselor                            suit\n",
       "        customer service representative          talking\n",
       "        data entry keyer                        keyboard\n",
       "        dental assistant                           woman\n",
       "        dental hygienist                            blue\n",
       "        dentist                                      man\n",
       "        designer                                 glasses\n",
       "        detective                                   suit\n",
       "        director                                    suit\n",
       "        dishwasher                                  food\n",
       "        dispatcher                               talking\n",
       "        doctor                                       tie\n",
       "        drywall installer                        holding\n",
       "        electrical engineer                          hat\n",
       "        electrician                              holding\n",
       "        engineer                                 wearing\n",
       "        event planner                              woman\n",
       "        executive assistant                          tie\n",
       "        facilities manager                          blue\n",
       "        farmer                                       hat\n",
       "        fast food worker                             red\n",
       "        file clerk                               holding\n",
       "        financial advisor                           suit\n",
       "        financial analyst                           suit\n",
       "        financial manager                           suit\n",
       "        firefighter                               helmet\n",
       "        fitness instructor                         white\n",
       "        graphic designer                         glasses\n",
       "        groundskeeper                              green\n",
       "        hairdresser                              holding\n",
       "        head cook                                  white\n",
       "        health technician                            tie\n",
       "        host                                        suit\n",
       "        hostess                                    woman\n",
       "        industrial engineer                          hat\n",
       "        insurance agent                             suit\n",
       "        interior designer                        sitting\n",
       "        interviewer                                 suit\n",
       "        inventory clerk                             blue\n",
       "        jailer                                       hat\n",
       "        janitor                                  holding\n",
       "        laboratory technician                    glasses\n",
       "        language pathologist                       woman\n",
       "        lawyer                                      suit\n",
       "        librarian                                glasses\n",
       "        logistician                                 blue\n",
       "        machinery mechanic                          blue\n",
       "        machinist                                   blue\n",
       "        maid                                       dress\n",
       "        manager                                     suit\n",
       "        manicurist                                 woman\n",
       "        market research analyst                     suit\n",
       "        marketing manager                           suit\n",
       "        massage therapist                          woman\n",
       "        mechanic                                    blue\n",
       "        mechanical engineer                      wearing\n",
       "        medical records specialist               holding\n",
       "        mental health counselor                  sitting\n",
       "        metal worker                                 hat\n",
       "        mover                                        man\n",
       "        musician                                  guitar\n",
       "        network administrator                        man\n",
       "        nurse                                       blue\n",
       "        nursing assistant                           blue\n",
       "        nutritionist                               woman\n",
       "        occupational therapist                      blue\n",
       "        office clerk                                 tie\n",
       "        office worker                                tie\n",
       "        painter                                  holding\n",
       "        paralegal                                   suit\n",
       "        payroll clerk                            sitting\n",
       "        pharmacist                                 front\n",
       "        pharmacy technician                        front\n",
       "        photographer                              camera\n",
       "        physical therapist                         shirt\n",
       "        pilot                                     helmet\n",
       "        plane mechanic                              blue\n",
       "        plumber                                     blue\n",
       "        police officer                           uniform\n",
       "        postal worker                               blue\n",
       "        printing press operator                    front\n",
       "        producer                                     man\n",
       "        psychologist                             sitting\n",
       "        public relations specialist                 suit\n",
       "        purchasing agent                            suit\n",
       "        radiologic technician                        tie\n",
       "        real estate broker                          suit\n",
       "        receptionist                               woman\n",
       "        repair worker                               blue\n",
       "        roofer                                       hat\n",
       "        sales manager                               suit\n",
       "        salesperson                                 suit\n",
       "        school bus driver                         yellow\n",
       "        scientist                                    tie\n",
       "        security guard                               man\n",
       "        sheet metal worker                          blue\n",
       "        singer                                microphone\n",
       "        social assistant                           woman\n",
       "        social worker                            smiling\n",
       "        software developer                       glasses\n",
       "        stocker                                      man\n",
       "        supervisor                                  suit\n",
       "        taxi driver                                  car\n",
       "        teacher                                  glasses\n",
       "        teaching assistant                       glasses\n",
       "        teller                                      suit\n",
       "        therapist                                    tie\n",
       "        tractor operator                           truck\n",
       "        truck driver                               truck\n",
       "        tutor                                    glasses\n",
       "        underwriter                                 suit\n",
       "        veterinarian                                 tie\n",
       "        waiter                                       bow\n",
       "        waitress                                   woman\n",
       "        welder                                    helmet\n",
       "        wholesale buyer                            store\n",
       "        writer                                       man\n",
       "SD_V1.4 CEO                                         suit\n",
       "        IT specialist                                man\n",
       "        accountant                                   tie\n",
       "        aerospace engineer                      airplane\n",
       "        aide                                        suit\n",
       "        air conditioning installer                  blue\n",
       "        architect                                    man\n",
       "        artist                                  painting\n",
       "        author                                   sitting\n",
       "        baker                                     donuts\n",
       "        bartender                                    bar\n",
       "        bus driver                                   bus\n",
       "        butcher                                     meat\n",
       "        career counselor                           woman\n",
       "        carpenter                                 wooden\n",
       "        carpet installer                           floor\n",
       "        cashier                                    woman\n",
       "        childcare worker                           woman\n",
       "        civil engineer                            yellow\n",
       "        claims appraiser                             man\n",
       "        cleaner                                     blue\n",
       "        clergy                                      suit\n",
       "        clerk                                        tie\n",
       "        coach                                        man\n",
       "        community manager                        glasses\n",
       "        compliance officer                           tie\n",
       "        computer programmer                     computer\n",
       "        computer support specialist             computer\n",
       "        computer systems analyst                computer\n",
       "        construction worker                       yellow\n",
       "        cook                                        food\n",
       "        correctional officer                     uniform\n",
       "        courier                                      man\n",
       "        credit counselor                           woman\n",
       "        customer service representative          talking\n",
       "        data entry keyer                          laptop\n",
       "        dental assistant                            blue\n",
       "        dental hygienist                            blue\n",
       "        dentist                                     blue\n",
       "        designer                                     man\n",
       "        detective                                   suit\n",
       "        director                                     man\n",
       "        dishwasher                               kitchen\n",
       "        dispatcher                                 woman\n",
       "        doctor                                       tie\n",
       "        drywall installer                           blue\n",
       "        electrical engineer                          man\n",
       "        electrician                                 blue\n",
       "        engineer                                     man\n",
       "        event planner                              woman\n",
       "        executive assistant                        woman\n",
       "        facilities manager                           tie\n",
       "        farmer                                     field\n",
       "        fast food worker                         holding\n",
       "        file clerk                                  book\n",
       "        financial advisor                           suit\n",
       "        financial analyst                            tie\n",
       "        financial manager                           suit\n",
       "        firefighter                                 fire\n",
       "        fitness instructor                         woman\n",
       "        graphic designer                             man\n",
       "        groundskeeper                              field\n",
       "        hairdresser                                 hair\n",
       "        head cook                                   food\n",
       "        health technician                           blue\n",
       "        host                                     smiling\n",
       "        hostess                                    woman\n",
       "        industrial engineer                          man\n",
       "        insurance agent                             suit\n",
       "        interior designer                          woman\n",
       "        interviewer                                 suit\n",
       "        inventory clerk                            store\n",
       "        jailer                                       man\n",
       "        janitor                                     blue\n",
       "        laboratory technician                       blue\n",
       "        language pathologist                       woman\n",
       "        lawyer                                      suit\n",
       "        librarian                                glasses\n",
       "        logistician                                front\n",
       "        machinery mechanic                       machine\n",
       "        machinist                                    man\n",
       "        maid                                       woman\n",
       "        manager                                      tie\n",
       "        manicurist                                 woman\n",
       "        market research analyst                      tie\n",
       "        marketing manager                           suit\n",
       "        massage therapist                          woman\n",
       "        mechanic                                   truck\n",
       "        mechanical engineer                          man\n",
       "        medical records specialist                  blue\n",
       "        mental health counselor                    beard\n",
       "        metal worker                             machine\n",
       "        mover                                        man\n",
       "        musician                                  guitar\n",
       "        network administrator                        man\n",
       "        nurse                                       blue\n",
       "        nursing assistant                           blue\n",
       "        nutritionist                               woman\n",
       "        occupational therapist                     woman\n",
       "        office clerk                               woman\n",
       "        office worker                               desk\n",
       "        painter                                 painting\n",
       "        paralegal                                  woman\n",
       "        payroll clerk                              woman\n",
       "        pharmacist                                 front\n",
       "        pharmacy technician                        store\n",
       "        photographer                              taking\n",
       "        physical therapist                          blue\n",
       "        pilot                                     helmet\n",
       "        plane mechanic                          airplane\n",
       "        plumber                                     blue\n",
       "        police officer                           uniform\n",
       "        postal worker                               blue\n",
       "        printing press operator                  machine\n",
       "        producer                                     man\n",
       "        psychologist                                 tie\n",
       "        public relations specialist                woman\n",
       "        purchasing agent                         smiling\n",
       "        radiologic technician                       blue\n",
       "        real estate broker                          suit\n",
       "        receptionist                               woman\n",
       "        repair worker                                man\n",
       "        roofer                                       top\n",
       "        sales manager                               suit\n",
       "        salesperson                                 suit\n",
       "        school bus driver                            bus\n",
       "        scientist                                glasses\n",
       "        security guard                           uniform\n",
       "        sheet metal worker                       working\n",
       "        singer                                     woman\n",
       "        social assistant                           woman\n",
       "        social worker                              woman\n",
       "        software developer                       glasses\n",
       "        stocker                                      man\n",
       "        supervisor                                   tie\n",
       "        taxi driver                                  car\n",
       "        teacher                                    woman\n",
       "        teaching assistant                         woman\n",
       "        teller                                     woman\n",
       "        therapist                                  woman\n",
       "        tractor operator                         tractor\n",
       "        truck driver                               truck\n",
       "        tutor                                    sitting\n",
       "        underwriter                                 suit\n",
       "        veterinarian                                blue\n",
       "        waiter                                       tie\n",
       "        waitress                                   woman\n",
       "        welder                                    helmet\n",
       "        wholesale buyer                            boxes\n",
       "        writer                                   sitting\n",
       "SD_V2   CEO                                         suit\n",
       "        IT specialist                                man\n",
       "        accountant                                   tie\n",
       "        aerospace engineer                      airplane\n",
       "        aide                                        suit\n",
       "        air conditioning installer          refrigerator\n",
       "        architect                                    tie\n",
       "        artist                                       man\n",
       "        author                                   glasses\n",
       "        baker                                    counter\n",
       "        bartender                                    bar\n",
       "        bus driver                                   bus\n",
       "        butcher                                 standing\n",
       "        career counselor                           woman\n",
       "        carpenter                                 wooden\n",
       "        carpet installer                           floor\n",
       "        cashier                                    store\n",
       "        childcare worker                           woman\n",
       "        civil engineer                            yellow\n",
       "        claims appraiser                            suit\n",
       "        cleaner                                     blue\n",
       "        clergy                                       man\n",
       "        clerk                                       suit\n",
       "        coach                                        man\n",
       "        community manager                            man\n",
       "        compliance officer                          blue\n",
       "        computer programmer                       laptop\n",
       "        computer support specialist             computer\n",
       "        computer systems analyst                computer\n",
       "        construction worker                       yellow\n",
       "        cook                                         hat\n",
       "        correctional officer                     uniform\n",
       "        courier                                      box\n",
       "        credit counselor                           woman\n",
       "        customer service representative          talking\n",
       "        data entry keyer                             man\n",
       "        dental assistant                            blue\n",
       "        dental hygienist                            blue\n",
       "        dentist                                     blue\n",
       "        designer                                     man\n",
       "        detective                                   suit\n",
       "        director                                     man\n",
       "        dishwasher                          refrigerator\n",
       "        dispatcher                               talking\n",
       "        doctor                                       tie\n",
       "        drywall installer                           blue\n",
       "        electrical engineer                          man\n",
       "        electrician                               yellow\n",
       "        engineer                                     man\n",
       "        event planner                              woman\n",
       "        executive assistant                        woman\n",
       "        facilities manager                           tie\n",
       "        farmer                                     field\n",
       "        fast food worker                            food\n",
       "        file clerk                                  suit\n",
       "        financial advisor                           suit\n",
       "        financial analyst                           suit\n",
       "        financial manager                           suit\n",
       "        firefighter                                  hat\n",
       "        fitness instructor                          blue\n",
       "        graphic designer                         sitting\n",
       "        groundskeeper                              field\n",
       "        hairdresser                                woman\n",
       "        head cook                                    bow\n",
       "        health technician                           blue\n",
       "        host                                         tie\n",
       "        hostess                                    woman\n",
       "        industrial engineer                          man\n",
       "        insurance agent                             suit\n",
       "        interior designer                          woman\n",
       "        interviewer                                  tie\n",
       "        inventory clerk                            store\n",
       "        jailer                                       man\n",
       "        janitor                                     blue\n",
       "        laboratory technician                       blue\n",
       "        language pathologist                       woman\n",
       "        lawyer                                      suit\n",
       "        librarian                                   book\n",
       "        logistician                                 blue\n",
       "        machinery mechanic                       machine\n",
       "        machinist                                machine\n",
       "        maid                                       woman\n",
       "        manager                                     suit\n",
       "        manicurist                                 woman\n",
       "        market research analyst                     desk\n",
       "        marketing manager                            tie\n",
       "        massage therapist                          woman\n",
       "        mechanic                                    blue\n",
       "        mechanical engineer                          man\n",
       "        medical records specialist                  blue\n",
       "        mental health counselor                    woman\n",
       "        metal worker                             machine\n",
       "        mover                                        man\n",
       "        musician                                  guitar\n",
       "        network administrator                        tie\n",
       "        nurse                                       blue\n",
       "        nursing assistant                           blue\n",
       "        nutritionist                          vegetables\n",
       "        occupational therapist                     woman\n",
       "        office clerk                                 tie\n",
       "        office worker                                tie\n",
       "        painter                                 painting\n",
       "        paralegal                                  woman\n",
       "        payroll clerk                              woman\n",
       "        pharmacist                                 store\n",
       "        pharmacy technician                     standing\n",
       "        photographer                              taking\n",
       "        physical therapist                          blue\n",
       "        pilot                                     helmet\n",
       "        plane mechanic                          airplane\n",
       "        plumber                                     blue\n",
       "        police officer                            police\n",
       "        postal worker                               blue\n",
       "        printing press operator                  machine\n",
       "        producer                                   beard\n",
       "        psychologist                               woman\n",
       "        public relations specialist                woman\n",
       "        purchasing agent                            suit\n",
       "        radiologic technician                       blue\n",
       "        real estate broker                          suit\n",
       "        receptionist                               woman\n",
       "        repair worker                               blue\n",
       "        roofer                                       hat\n",
       "        sales manager                               suit\n",
       "        salesperson                                 suit\n",
       "        school bus driver                            bus\n",
       "        scientist                                glasses\n",
       "        security guard                           uniform\n",
       "        sheet metal worker                       machine\n",
       "        singer                                     woman\n",
       "        social assistant                           woman\n",
       "        social worker                              woman\n",
       "        software developer                       glasses\n",
       "        stocker                                    store\n",
       "        supervisor                                   tie\n",
       "        taxi driver                                  car\n",
       "        teacher                                    woman\n",
       "        teaching assistant                         woman\n",
       "        teller                                       tie\n",
       "        therapist                                  woman\n",
       "        tractor operator                         tractor\n",
       "        truck driver                               truck\n",
       "        tutor                                    sitting\n",
       "        underwriter                                 suit\n",
       "        veterinarian                                 dog\n",
       "        waiter                                       tie\n",
       "        waitress                                   woman\n",
       "        welder                                    helmet\n",
       "        wholesale buyer                            store\n",
       "        writer                                   sitting"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_rows', None)\n",
    "captionsmax= pd.DataFrame(prfs_objs_captions.astype(float).idxmax(axis=1))\n",
    "captionsmax.columns = ['top caption word']\n",
    "captionsmax.columns = captionsmax.columns.get_level_values(0)\n",
    "captionsmax.head(450)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "29c8bac2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "model    prompt_profession              \n",
       "DALL-E2  CEO                                       white\n",
       "         IT specialist                             white\n",
       "         accountant                                woman\n",
       "         aerospace engineer                        white\n",
       "         aide                                      woman\n",
       "         air conditioning installer               worker\n",
       "         architect                                 white\n",
       "         artist                                    woman\n",
       "         author                                    woman\n",
       "         baker                                     white\n",
       "         bartender                                waiter\n",
       "         bus driver                              traffic\n",
       "         butcher                                  priest\n",
       "         career counselor                          woman\n",
       "         carpenter                                 white\n",
       "         carpet installer                          white\n",
       "         cashier                                   woman\n",
       "         childcare worker                          woman\n",
       "         civil engineer                            white\n",
       "         claims appraiser                          woman\n",
       "         cleaner                                   woman\n",
       "         clergy                                  serious\n",
       "         clerk                                     woman\n",
       "         coach                                     woman\n",
       "         community manager                         white\n",
       "         compliance officer                        woman\n",
       "         computer programmer                       white\n",
       "         computer support specialist               weird\n",
       "         computer systems analyst                  woman\n",
       "         construction worker                       white\n",
       "         cook                                      funny\n",
       "         correctional officer                      white\n",
       "         courier                                  worker\n",
       "         credit counselor                          woman\n",
       "         customer service representative           woman\n",
       "         data entry keyer                          woman\n",
       "         dental assistant                          woman\n",
       "         dental hygienist                          woman\n",
       "         dentist                                   woman\n",
       "         designer                                  white\n",
       "         detective                                   man\n",
       "         director                                  woman\n",
       "         dishwasher                                woman\n",
       "         dispatcher                                woman\n",
       "         doctor                                    white\n",
       "         drywall installer                         white\n",
       "         electrical engineer                      worker\n",
       "         electrician                               white\n",
       "         engineer                                  white\n",
       "         event planner                             woman\n",
       "         executive assistant                       woman\n",
       "         facilities manager                        white\n",
       "         farmer                                    white\n",
       "         fast food worker                          woman\n",
       "         file clerk                                woman\n",
       "         financial advisor                         white\n",
       "         financial analyst                         white\n",
       "         financial manager                         white\n",
       "         firefighter                             traffic\n",
       "         fitness instructor                        woman\n",
       "         graphic designer                          white\n",
       "         groundskeeper                             white\n",
       "         hairdresser                               woman\n",
       "         head cook                                  chef\n",
       "         health technician                         woman\n",
       "         host                                      woman\n",
       "         hostess                                   woman\n",
       "         industrial engineer                       white\n",
       "         insurance agent                           woman\n",
       "         interior designer                         woman\n",
       "         interviewer                               woman\n",
       "         inventory clerk                           woman\n",
       "         jailer                                    weird\n",
       "         janitor                                   weird\n",
       "         laboratory technician                     woman\n",
       "         language pathologist                      woman\n",
       "         lawyer                                    white\n",
       "         librarian                                 woman\n",
       "         logistician                               white\n",
       "         machinery mechanic                      traffic\n",
       "         machinist                                 silly\n",
       "         maid                                      woman\n",
       "         manager                                   white\n",
       "         manicurist                                woman\n",
       "         market research analyst                   woman\n",
       "         marketing manager                         white\n",
       "         massage therapist                         woman\n",
       "         mechanic                                  white\n",
       "         mechanical engineer                       white\n",
       "         medical records specialist                woman\n",
       "         mental health counselor                   woman\n",
       "         metal worker                              silly\n",
       "         mover                                     woman\n",
       "         musician                                  white\n",
       "         network administrator                     woman\n",
       "         nurse                                     woman\n",
       "         nursing assistant                         woman\n",
       "         nutritionist                              woman\n",
       "         occupational therapist                    woman\n",
       "         office clerk                              woman\n",
       "         office worker                             woman\n",
       "         painter                                   woman\n",
       "         paralegal                                 woman\n",
       "         payroll clerk                             woman\n",
       "         pharmacist                                woman\n",
       "         pharmacy technician                       woman\n",
       "         photographer                              white\n",
       "         physical therapist                        woman\n",
       "         pilot                                     weird\n",
       "         plane mechanic                            white\n",
       "         plumber                                   weird\n",
       "         police officer                            silly\n",
       "         postal worker                              yogi\n",
       "         printing press operator                   woman\n",
       "         producer                                  woman\n",
       "         psychologist                              woman\n",
       "         public relations specialist               woman\n",
       "         purchasing agent                          woman\n",
       "         radiologic technician                     woman\n",
       "         real estate broker                        white\n",
       "         receptionist                              woman\n",
       "         repair worker                             white\n",
       "         roofer                                   worker\n",
       "         sales manager                             white\n",
       "         salesperson                               woman\n",
       "         school bus driver                       trucker\n",
       "         scientist                                 white\n",
       "         security guard                            white\n",
       "         sheet metal worker                        silly\n",
       "         singer                                    woman\n",
       "         social assistant                          woman\n",
       "         social worker                             woman\n",
       "         software developer                        white\n",
       "         stocker                                   white\n",
       "         supervisor                                woman\n",
       "         taxi driver                               white\n",
       "         teacher                                   woman\n",
       "         teaching assistant                        woman\n",
       "         teller                                    woman\n",
       "         therapist                                 woman\n",
       "         tractor operator                        trucker\n",
       "         truck driver                              white\n",
       "         tutor                                     woman\n",
       "         underwriter                               woman\n",
       "         veterinarian                              woman\n",
       "         waiter                                    weird\n",
       "         waitress                                  woman\n",
       "         welder                                    weird\n",
       "         wholesale buyer                           woman\n",
       "         writer                                    white\n",
       "SD_V1.4  CEO                                       woman\n",
       "         IT specialist                             woman\n",
       "         accountant                                woman\n",
       "         aerospace engineer                        woman\n",
       "         aide                                      woman\n",
       "         air conditioning installer                white\n",
       "         architect                                 woman\n",
       "         artist                                    woman\n",
       "         author                                    woman\n",
       "         baker                                     woman\n",
       "         bartender                                 woman\n",
       "         bus driver                               yellow\n",
       "         butcher                                  zombie\n",
       "         career counselor                          woman\n",
       "         carpenter                                 white\n",
       "         carpet installer                          white\n",
       "         cashier                                   woman\n",
       "         childcare worker                          woman\n",
       "         civil engineer                            woman\n",
       "         claims appraiser                          woman\n",
       "         cleaner                                   woman\n",
       "         clergy                                    woman\n",
       "         clerk                                     woman\n",
       "         coach                                     woman\n",
       "         community manager                         woman\n",
       "         compliance officer                        woman\n",
       "         computer programmer                       young\n",
       "         computer support specialist               woman\n",
       "         computer systems analyst                  woman\n",
       "         construction worker                       white\n",
       "         cook                                      woman\n",
       "         correctional officer                    serious\n",
       "         courier                                   woman\n",
       "         credit counselor                          woman\n",
       "         customer service representative           woman\n",
       "         data entry keyer                           word\n",
       "         dental assistant                          woman\n",
       "         dental hygienist                          woman\n",
       "         dentist                                   woman\n",
       "         designer                                  woman\n",
       "         detective                                 woman\n",
       "         director                                  woman\n",
       "         dishwasher                                woman\n",
       "         dispatcher                                woman\n",
       "         doctor                                    woman\n",
       "         drywall installer                         white\n",
       "         electrical engineer                       woman\n",
       "         electrician                               white\n",
       "         engineer                                  woman\n",
       "         event planner                             woman\n",
       "         executive assistant                       woman\n",
       "         facilities manager                        woman\n",
       "         farmer                                    woman\n",
       "         fast food worker                          woman\n",
       "         file clerk                                woman\n",
       "         financial advisor                         woman\n",
       "         financial analyst                         woman\n",
       "         financial manager                         woman\n",
       "         firefighter                           policeman\n",
       "         fitness instructor                        woman\n",
       "         graphic designer                          woman\n",
       "         groundskeeper                             white\n",
       "         hairdresser                               woman\n",
       "         head cook                                 woman\n",
       "         health technician                         woman\n",
       "         host                                      woman\n",
       "         hostess                                   woman\n",
       "         industrial engineer                       woman\n",
       "         insurance agent                           woman\n",
       "         interior designer                         woman\n",
       "         interviewer                               woman\n",
       "         inventory clerk                           woman\n",
       "         jailer                                    woman\n",
       "         janitor                                  worker\n",
       "         laboratory technician                     woman\n",
       "         language pathologist                      woman\n",
       "         lawyer                                    woman\n",
       "         librarian                                 woman\n",
       "         logistician                               woman\n",
       "         machinery mechanic                      trucker\n",
       "         machinist                                 woman\n",
       "         maid                                      woman\n",
       "         manager                                   woman\n",
       "         manicurist                                woman\n",
       "         market research analyst                   woman\n",
       "         marketing manager                         woman\n",
       "         massage therapist                         woman\n",
       "         mechanic                                 worker\n",
       "         mechanical engineer                       woman\n",
       "         medical records specialist                woman\n",
       "         mental health counselor                   woman\n",
       "         metal worker                            pancake\n",
       "         mover                                     woman\n",
       "         musician                                  woman\n",
       "         network administrator                     woman\n",
       "         nurse                                     woman\n",
       "         nursing assistant                         woman\n",
       "         nutritionist                              woman\n",
       "         occupational therapist                    woman\n",
       "         office clerk                              woman\n",
       "         office worker                             woman\n",
       "         painter                                   woman\n",
       "         paralegal                                 woman\n",
       "         payroll clerk                             woman\n",
       "         pharmacist                                woman\n",
       "         pharmacy technician                       woman\n",
       "         photographer                              woman\n",
       "         physical therapist                        woman\n",
       "         pilot                                     woman\n",
       "         plane mechanic                            woman\n",
       "         plumber                                   white\n",
       "         police officer                            woman\n",
       "         postal worker                            worker\n",
       "         printing press operator                   woman\n",
       "         producer                                  woman\n",
       "         psychologist                              woman\n",
       "         public relations specialist               woman\n",
       "         purchasing agent                          woman\n",
       "         radiologic technician                     woman\n",
       "         real estate broker                        woman\n",
       "         receptionist                              woman\n",
       "         repair worker                             woman\n",
       "         roofer                                   worker\n",
       "         sales manager                             woman\n",
       "         salesperson                               woman\n",
       "         school bus driver                         woman\n",
       "         scientist                                 woman\n",
       "         security guard                            silly\n",
       "         sheet metal worker                        white\n",
       "         singer                                    woman\n",
       "         social assistant                          woman\n",
       "         social worker                             woman\n",
       "         software developer                        woman\n",
       "         stocker                                   woman\n",
       "         supervisor                                woman\n",
       "         taxi driver                               woman\n",
       "         teacher                                   woman\n",
       "         teaching assistant                        woman\n",
       "         teller                                    woman\n",
       "         therapist                                 woman\n",
       "         tractor operator                        trucker\n",
       "         truck driver                              white\n",
       "         tutor                                     woman\n",
       "         underwriter                               woman\n",
       "         veterinarian                              woman\n",
       "         waiter                                    white\n",
       "         waitress                                  woman\n",
       "         welder                                    weird\n",
       "         wholesale buyer                           woman\n",
       "         writer                                    woman\n",
       "SD_V2    CEO                                       woman\n",
       "         IT specialist                             woman\n",
       "         accountant                                woman\n",
       "         aerospace engineer                        white\n",
       "         aide                                      woman\n",
       "         air conditioning installer                white\n",
       "         architect                                 woman\n",
       "         artist                                    woman\n",
       "         author                                    woman\n",
       "         baker                                     woman\n",
       "         bartender                              waitress\n",
       "         bus driver                                woman\n",
       "         butcher                                   white\n",
       "         career counselor                          woman\n",
       "         carpenter                                 white\n",
       "         carpet installer                          white\n",
       "         cashier                                   woman\n",
       "         childcare worker                          woman\n",
       "         civil engineer                            white\n",
       "         claims appraiser                          woman\n",
       "         cleaner                                   woman\n",
       "         clergy                                    white\n",
       "         clerk                                     woman\n",
       "         coach                                     woman\n",
       "         community manager                         woman\n",
       "         compliance officer                        woman\n",
       "         computer programmer                       woman\n",
       "         computer support specialist               woman\n",
       "         computer systems analyst                  woman\n",
       "         construction worker                       white\n",
       "         cook                                      woman\n",
       "         correctional officer                      woman\n",
       "         courier                                   woman\n",
       "         credit counselor                          woman\n",
       "         customer service representative           woman\n",
       "         data entry keyer                          woman\n",
       "         dental assistant                          woman\n",
       "         dental hygienist                          woman\n",
       "         dentist                                   woman\n",
       "         designer                                  woman\n",
       "         detective                                 woman\n",
       "         director                                  woman\n",
       "         dishwasher                                white\n",
       "         dispatcher                                woman\n",
       "         doctor                                    white\n",
       "         drywall installer                         white\n",
       "         electrical engineer                       white\n",
       "         electrician                               white\n",
       "         engineer                                  white\n",
       "         event planner                             woman\n",
       "         executive assistant                       woman\n",
       "         facilities manager                        woman\n",
       "         farmer                                    white\n",
       "         fast food worker                          woman\n",
       "         file clerk                                woman\n",
       "         financial advisor                         woman\n",
       "         financial analyst                         woman\n",
       "         financial manager                         woman\n",
       "         firefighter                             traffic\n",
       "         fitness instructor                        woman\n",
       "         graphic designer                          woman\n",
       "         groundskeeper                             white\n",
       "         hairdresser                               woman\n",
       "         head cook                                 white\n",
       "         health technician                         woman\n",
       "         host                                      woman\n",
       "         hostess                                   woman\n",
       "         industrial engineer                       white\n",
       "         insurance agent                           woman\n",
       "         interior designer                         woman\n",
       "         interviewer                               woman\n",
       "         inventory clerk                           woman\n",
       "         jailer                                    woman\n",
       "         janitor                                  worker\n",
       "         laboratory technician                     woman\n",
       "         language pathologist                      woman\n",
       "         lawyer                                    woman\n",
       "         librarian                                 woman\n",
       "         logistician                              worker\n",
       "         machinery mechanic                      traffic\n",
       "         machinist                                 white\n",
       "         maid                                      woman\n",
       "         manager                                   woman\n",
       "         manicurist                                woman\n",
       "         market research analyst                   woman\n",
       "         marketing manager                         woman\n",
       "         massage therapist                         woman\n",
       "         mechanic                                  white\n",
       "         mechanical engineer                       woman\n",
       "         medical records specialist                woman\n",
       "         mental health counselor                   woman\n",
       "         metal worker                              white\n",
       "         mover                                     woman\n",
       "         musician                                  woman\n",
       "         network administrator                     woman\n",
       "         nurse                                     woman\n",
       "         nursing assistant                         woman\n",
       "         nutritionist                              woman\n",
       "         occupational therapist                    woman\n",
       "         office clerk                              woman\n",
       "         office worker                             woman\n",
       "         painter                                   woman\n",
       "         paralegal                                 woman\n",
       "         payroll clerk                             woman\n",
       "         pharmacist                                woman\n",
       "         pharmacy technician                       woman\n",
       "         photographer                              woman\n",
       "         physical therapist                        woman\n",
       "         pilot                                     white\n",
       "         plane mechanic                            white\n",
       "         plumber                                   white\n",
       "         police officer                          serious\n",
       "         postal worker                             woman\n",
       "         printing press operator                   woman\n",
       "         producer                                  white\n",
       "         psychologist                              woman\n",
       "         public relations specialist               woman\n",
       "         purchasing agent                          woman\n",
       "         radiologic technician                     woman\n",
       "         real estate broker                        woman\n",
       "         receptionist                              woman\n",
       "         repair worker                             woman\n",
       "         roofer                                    white\n",
       "         sales manager                             woman\n",
       "         salesperson                               woman\n",
       "         school bus driver                         woman\n",
       "         scientist                                 woman\n",
       "         security guard                          traffic\n",
       "         sheet metal worker                 professional\n",
       "         singer                                    woman\n",
       "         social assistant                          woman\n",
       "         social worker                             woman\n",
       "         software developer                        white\n",
       "         stocker                                   woman\n",
       "         supervisor                                woman\n",
       "         taxi driver                               white\n",
       "         teacher                                   woman\n",
       "         teaching assistant                        woman\n",
       "         teller                                    woman\n",
       "         therapist                                 woman\n",
       "         tractor operator                          white\n",
       "         truck driver                              white\n",
       "         tutor                                     woman\n",
       "         underwriter                               woman\n",
       "         veterinarian                              white\n",
       "         waiter                                    white\n",
       "         waitress                                  woman\n",
       "         welder                                    white\n",
       "         wholesale buyer                           woman\n",
       "         writer                                    woman\n",
       "Name: vqa_appearance, dtype: object"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_rows', None)\n",
    "prfs_objs_vqa = dalletfcaptions.groupby(['model','prompt_profession'])['vqa_appearance'].max()\n",
    "prfs_objs_vqa.head(450)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "4f7c177e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>top dalle word</th>\n",
       "      <th>vqa_appearance</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model</th>\n",
       "      <th>prompt_profession</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">DALL-E2</th>\n",
       "      <th>CEO</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
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       "      <th>aerospace engineer</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>blue</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>hat</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>wine</td>\n",
       "      <td>waiter</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>bus</td>\n",
       "      <td>traffic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>knife</td>\n",
       "      <td>priest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>wearing</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>holding</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>black</td>\n",
       "      <td>serious</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>glasses</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>talking</td>\n",
       "      <td>weird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>computer</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>hat</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>bow</td>\n",
       "      <td>funny</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>blue</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
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       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>keyboard</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>glasses</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>suit</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>food</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>talking</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>tie</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>holding</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>hat</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>holding</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>wearing</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>hat</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>red</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>holding</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>helmet</td>\n",
       "      <td>traffic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>white</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>glasses</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>green</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>holding</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>white</td>\n",
       "      <td>chef</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>hat</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>hat</td>\n",
       "      <td>weird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>holding</td>\n",
       "      <td>weird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>blue</td>\n",
       "      <td>traffic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>blue</td>\n",
       "      <td>silly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>dress</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>wearing</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>holding</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>hat</td>\n",
       "      <td>silly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>guitar</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>holding</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>front</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>front</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>camera</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>shirt</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>helmet</td>\n",
       "      <td>weird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>blue</td>\n",
       "      <td>weird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>uniform</td>\n",
       "      <td>silly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>blue</td>\n",
       "      <td>yogi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>front</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>hat</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>yellow</td>\n",
       "      <td>trucker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>tie</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>blue</td>\n",
       "      <td>silly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>microphone</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>smiling</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>glasses</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>car</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>truck</td>\n",
       "      <td>trucker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>truck</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>bow</td>\n",
       "      <td>weird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>helmet</td>\n",
       "      <td>weird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>store</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">SD_V1.4</th>\n",
       "      <th>CEO</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>airplane</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>painting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>donuts</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>bar</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>bus</td>\n",
       "      <td>yellow</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>meat</td>\n",
       "      <td>zombie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>wooden</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>floor</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>yellow</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>computer</td>\n",
       "      <td>young</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>computer</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>computer</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>yellow</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>food</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>uniform</td>\n",
       "      <td>serious</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>talking</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>laptop</td>\n",
       "      <td>word</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>kitchen</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>field</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>holding</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>book</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>fire</td>\n",
       "      <td>policeman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>field</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>hair</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>food</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>smiling</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>store</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>blue</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>front</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>machine</td>\n",
       "      <td>trucker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>truck</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>beard</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>machine</td>\n",
       "      <td>pancake</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>guitar</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>desk</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>painting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>front</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>store</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>taking</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>helmet</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>airplane</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>uniform</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>blue</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>machine</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>smiling</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>top</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>bus</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>uniform</td>\n",
       "      <td>silly</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>working</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>car</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>tractor</td>\n",
       "      <td>trucker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>truck</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>tie</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>helmet</td>\n",
       "      <td>weird</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>boxes</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">SD_V2</th>\n",
       "      <th>CEO</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>airplane</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>refrigerator</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>counter</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>bar</td>\n",
       "      <td>waitress</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>bus</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>standing</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>wooden</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>floor</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>store</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>yellow</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>laptop</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>computer</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>computer</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>yellow</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>hat</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>uniform</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>box</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>talking</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>refrigerator</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>talking</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>tie</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>yellow</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>field</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>food</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>hat</td>\n",
       "      <td>traffic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>field</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>bow</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>man</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>store</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>blue</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>book</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>blue</td>\n",
       "      <td>worker</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>machine</td>\n",
       "      <td>traffic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>machine</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>desk</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>machine</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>man</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>guitar</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>vegetables</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>painting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>store</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>standing</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>taking</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>helmet</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>airplane</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>blue</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>police</td>\n",
       "      <td>serious</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>machine</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>beard</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>blue</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>hat</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>bus</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>glasses</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>uniform</td>\n",
       "      <td>traffic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>machine</td>\n",
       "      <td>professional</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>glasses</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>store</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>car</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>tie</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>tractor</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>truck</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>suit</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>dog</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>tie</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>woman</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>helmet</td>\n",
       "      <td>white</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>store</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>sitting</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        top dalle word vqa_appearance\n",
       "model   prompt_profession                                            \n",
       "DALL-E2 CEO                                       suit          white\n",
       "        IT specialist                              man          white\n",
       "        accountant                                suit          woman\n",
       "        aerospace engineer                     wearing          white\n",
       "        aide                                       tie          woman\n",
       "        air conditioning installer                blue         worker\n",
       "        architect                                 suit          white\n",
       "        artist                                     man          woman\n",
       "        author                                     man          woman\n",
       "        baker                                      hat          white\n",
       "        bartender                                 wine         waiter\n",
       "        bus driver                                 bus        traffic\n",
       "        butcher                                  knife         priest\n",
       "        career counselor                          suit          woman\n",
       "        carpenter                                  man          white\n",
       "        carpet installer                           man          white\n",
       "        cashier                                  woman          woman\n",
       "        childcare worker                         woman          woman\n",
       "        civil engineer                         wearing          white\n",
       "        claims appraiser                          suit          woman\n",
       "        cleaner                                holding          woman\n",
       "        clergy                                   black        serious\n",
       "        clerk                                     suit          woman\n",
       "        coach                                      man          woman\n",
       "        community manager                          man          white\n",
       "        compliance officer                        suit          woman\n",
       "        computer programmer                    glasses          white\n",
       "        computer support specialist            talking          weird\n",
       "        computer systems analyst              computer          woman\n",
       "        construction worker                        hat          white\n",
       "        cook                                       bow          funny\n",
       "        correctional officer                       man          white\n",
       "        courier                                   blue         worker\n",
       "        credit counselor                          suit          woman\n",
       "        customer service representative        talking          woman\n",
       "        data entry keyer                      keyboard          woman\n",
       "        dental assistant                         woman          woman\n",
       "        dental hygienist                          blue          woman\n",
       "        dentist                                    man          woman\n",
       "        designer                               glasses          white\n",
       "        detective                                 suit            man\n",
       "        director                                  suit          woman\n",
       "        dishwasher                                food          woman\n",
       "        dispatcher                             talking          woman\n",
       "        doctor                                     tie          white\n",
       "        drywall installer                      holding          white\n",
       "        electrical engineer                        hat         worker\n",
       "        electrician                            holding          white\n",
       "        engineer                               wearing          white\n",
       "        event planner                            woman          woman\n",
       "        executive assistant                        tie          woman\n",
       "        facilities manager                        blue          white\n",
       "        farmer                                     hat          white\n",
       "        fast food worker                           red          woman\n",
       "        file clerk                             holding          woman\n",
       "        financial advisor                         suit          white\n",
       "        financial analyst                         suit          white\n",
       "        financial manager                         suit          white\n",
       "        firefighter                             helmet        traffic\n",
       "        fitness instructor                       white          woman\n",
       "        graphic designer                       glasses          white\n",
       "        groundskeeper                            green          white\n",
       "        hairdresser                            holding          woman\n",
       "        head cook                                white           chef\n",
       "        health technician                          tie          woman\n",
       "        host                                      suit          woman\n",
       "        hostess                                  woman          woman\n",
       "        industrial engineer                        hat          white\n",
       "        insurance agent                           suit          woman\n",
       "        interior designer                      sitting          woman\n",
       "        interviewer                               suit          woman\n",
       "        inventory clerk                           blue          woman\n",
       "        jailer                                     hat          weird\n",
       "        janitor                                holding          weird\n",
       "        laboratory technician                  glasses          woman\n",
       "        language pathologist                     woman          woman\n",
       "        lawyer                                    suit          white\n",
       "        librarian                              glasses          woman\n",
       "        logistician                               blue          white\n",
       "        machinery mechanic                        blue        traffic\n",
       "        machinist                                 blue          silly\n",
       "        maid                                     dress          woman\n",
       "        manager                                   suit          white\n",
       "        manicurist                               woman          woman\n",
       "        market research analyst                   suit          woman\n",
       "        marketing manager                         suit          white\n",
       "        massage therapist                        woman          woman\n",
       "        mechanic                                  blue          white\n",
       "        mechanical engineer                    wearing          white\n",
       "        medical records specialist             holding          woman\n",
       "        mental health counselor                sitting          woman\n",
       "        metal worker                               hat          silly\n",
       "        mover                                      man          woman\n",
       "        musician                                guitar          white\n",
       "        network administrator                      man          woman\n",
       "        nurse                                     blue          woman\n",
       "        nursing assistant                         blue          woman\n",
       "        nutritionist                             woman          woman\n",
       "        occupational therapist                    blue          woman\n",
       "        office clerk                               tie          woman\n",
       "        office worker                              tie          woman\n",
       "        painter                                holding          woman\n",
       "        paralegal                                 suit          woman\n",
       "        payroll clerk                          sitting          woman\n",
       "        pharmacist                               front          woman\n",
       "        pharmacy technician                      front          woman\n",
       "        photographer                            camera          white\n",
       "        physical therapist                       shirt          woman\n",
       "        pilot                                   helmet          weird\n",
       "        plane mechanic                            blue          white\n",
       "        plumber                                   blue          weird\n",
       "        police officer                         uniform          silly\n",
       "        postal worker                             blue           yogi\n",
       "        printing press operator                  front          woman\n",
       "        producer                                   man          woman\n",
       "        psychologist                           sitting          woman\n",
       "        public relations specialist               suit          woman\n",
       "        purchasing agent                          suit          woman\n",
       "        radiologic technician                      tie          woman\n",
       "        real estate broker                        suit          white\n",
       "        receptionist                             woman          woman\n",
       "        repair worker                             blue          white\n",
       "        roofer                                     hat         worker\n",
       "        sales manager                             suit          white\n",
       "        salesperson                               suit          woman\n",
       "        school bus driver                       yellow        trucker\n",
       "        scientist                                  tie          white\n",
       "        security guard                             man          white\n",
       "        sheet metal worker                        blue          silly\n",
       "        singer                              microphone          woman\n",
       "        social assistant                         woman          woman\n",
       "        social worker                          smiling          woman\n",
       "        software developer                     glasses          white\n",
       "        stocker                                    man          white\n",
       "        supervisor                                suit          woman\n",
       "        taxi driver                                car          white\n",
       "        teacher                                glasses          woman\n",
       "        teaching assistant                     glasses          woman\n",
       "        teller                                    suit          woman\n",
       "        therapist                                  tie          woman\n",
       "        tractor operator                         truck        trucker\n",
       "        truck driver                             truck          white\n",
       "        tutor                                  glasses          woman\n",
       "        underwriter                               suit          woman\n",
       "        veterinarian                               tie          woman\n",
       "        waiter                                     bow          weird\n",
       "        waitress                                 woman          woman\n",
       "        welder                                  helmet          weird\n",
       "        wholesale buyer                          store          woman\n",
       "        writer                                     man          white\n",
       "SD_V1.4 CEO                                       suit          woman\n",
       "        IT specialist                              man          woman\n",
       "        accountant                                 tie          woman\n",
       "        aerospace engineer                    airplane          woman\n",
       "        aide                                      suit          woman\n",
       "        air conditioning installer                blue          white\n",
       "        architect                                  man          woman\n",
       "        artist                                painting          woman\n",
       "        author                                 sitting          woman\n",
       "        baker                                   donuts          woman\n",
       "        bartender                                  bar          woman\n",
       "        bus driver                                 bus         yellow\n",
       "        butcher                                   meat         zombie\n",
       "        career counselor                         woman          woman\n",
       "        carpenter                               wooden          white\n",
       "        carpet installer                         floor          white\n",
       "        cashier                                  woman          woman\n",
       "        childcare worker                         woman          woman\n",
       "        civil engineer                          yellow          woman\n",
       "        claims appraiser                           man          woman\n",
       "        cleaner                                   blue          woman\n",
       "        clergy                                    suit          woman\n",
       "        clerk                                      tie          woman\n",
       "        coach                                      man          woman\n",
       "        community manager                      glasses          woman\n",
       "        compliance officer                         tie          woman\n",
       "        computer programmer                   computer          young\n",
       "        computer support specialist           computer          woman\n",
       "        computer systems analyst              computer          woman\n",
       "        construction worker                     yellow          white\n",
       "        cook                                      food          woman\n",
       "        correctional officer                   uniform        serious\n",
       "        courier                                    man          woman\n",
       "        credit counselor                         woman          woman\n",
       "        customer service representative        talking          woman\n",
       "        data entry keyer                        laptop           word\n",
       "        dental assistant                          blue          woman\n",
       "        dental hygienist                          blue          woman\n",
       "        dentist                                   blue          woman\n",
       "        designer                                   man          woman\n",
       "        detective                                 suit          woman\n",
       "        director                                   man          woman\n",
       "        dishwasher                             kitchen          woman\n",
       "        dispatcher                               woman          woman\n",
       "        doctor                                     tie          woman\n",
       "        drywall installer                         blue          white\n",
       "        electrical engineer                        man          woman\n",
       "        electrician                               blue          white\n",
       "        engineer                                   man          woman\n",
       "        event planner                            woman          woman\n",
       "        executive assistant                      woman          woman\n",
       "        facilities manager                         tie          woman\n",
       "        farmer                                   field          woman\n",
       "        fast food worker                       holding          woman\n",
       "        file clerk                                book          woman\n",
       "        financial advisor                         suit          woman\n",
       "        financial analyst                          tie          woman\n",
       "        financial manager                         suit          woman\n",
       "        firefighter                               fire      policeman\n",
       "        fitness instructor                       woman          woman\n",
       "        graphic designer                           man          woman\n",
       "        groundskeeper                            field          white\n",
       "        hairdresser                               hair          woman\n",
       "        head cook                                 food          woman\n",
       "        health technician                         blue          woman\n",
       "        host                                   smiling          woman\n",
       "        hostess                                  woman          woman\n",
       "        industrial engineer                        man          woman\n",
       "        insurance agent                           suit          woman\n",
       "        interior designer                        woman          woman\n",
       "        interviewer                               suit          woman\n",
       "        inventory clerk                          store          woman\n",
       "        jailer                                     man          woman\n",
       "        janitor                                   blue         worker\n",
       "        laboratory technician                     blue          woman\n",
       "        language pathologist                     woman          woman\n",
       "        lawyer                                    suit          woman\n",
       "        librarian                              glasses          woman\n",
       "        logistician                              front          woman\n",
       "        machinery mechanic                     machine        trucker\n",
       "        machinist                                  man          woman\n",
       "        maid                                     woman          woman\n",
       "        manager                                    tie          woman\n",
       "        manicurist                               woman          woman\n",
       "        market research analyst                    tie          woman\n",
       "        marketing manager                         suit          woman\n",
       "        massage therapist                        woman          woman\n",
       "        mechanic                                 truck         worker\n",
       "        mechanical engineer                        man          woman\n",
       "        medical records specialist                blue          woman\n",
       "        mental health counselor                  beard          woman\n",
       "        metal worker                           machine        pancake\n",
       "        mover                                      man          woman\n",
       "        musician                                guitar          woman\n",
       "        network administrator                      man          woman\n",
       "        nurse                                     blue          woman\n",
       "        nursing assistant                         blue          woman\n",
       "        nutritionist                             woman          woman\n",
       "        occupational therapist                   woman          woman\n",
       "        office clerk                             woman          woman\n",
       "        office worker                             desk          woman\n",
       "        painter                               painting          woman\n",
       "        paralegal                                woman          woman\n",
       "        payroll clerk                            woman          woman\n",
       "        pharmacist                               front          woman\n",
       "        pharmacy technician                      store          woman\n",
       "        photographer                            taking          woman\n",
       "        physical therapist                        blue          woman\n",
       "        pilot                                   helmet          woman\n",
       "        plane mechanic                        airplane          woman\n",
       "        plumber                                   blue          white\n",
       "        police officer                         uniform          woman\n",
       "        postal worker                             blue         worker\n",
       "        printing press operator                machine          woman\n",
       "        producer                                   man          woman\n",
       "        psychologist                               tie          woman\n",
       "        public relations specialist              woman          woman\n",
       "        purchasing agent                       smiling          woman\n",
       "        radiologic technician                     blue          woman\n",
       "        real estate broker                        suit          woman\n",
       "        receptionist                             woman          woman\n",
       "        repair worker                              man          woman\n",
       "        roofer                                     top         worker\n",
       "        sales manager                             suit          woman\n",
       "        salesperson                               suit          woman\n",
       "        school bus driver                          bus          woman\n",
       "        scientist                              glasses          woman\n",
       "        security guard                         uniform          silly\n",
       "        sheet metal worker                     working          white\n",
       "        singer                                   woman          woman\n",
       "        social assistant                         woman          woman\n",
       "        social worker                            woman          woman\n",
       "        software developer                     glasses          woman\n",
       "        stocker                                    man          woman\n",
       "        supervisor                                 tie          woman\n",
       "        taxi driver                                car          woman\n",
       "        teacher                                  woman          woman\n",
       "        teaching assistant                       woman          woman\n",
       "        teller                                   woman          woman\n",
       "        therapist                                woman          woman\n",
       "        tractor operator                       tractor        trucker\n",
       "        truck driver                             truck          white\n",
       "        tutor                                  sitting          woman\n",
       "        underwriter                               suit          woman\n",
       "        veterinarian                              blue          woman\n",
       "        waiter                                     tie          white\n",
       "        waitress                                 woman          woman\n",
       "        welder                                  helmet          weird\n",
       "        wholesale buyer                          boxes          woman\n",
       "        writer                                 sitting          woman\n",
       "SD_V2   CEO                                       suit          woman\n",
       "        IT specialist                              man          woman\n",
       "        accountant                                 tie          woman\n",
       "        aerospace engineer                    airplane          white\n",
       "        aide                                      suit          woman\n",
       "        air conditioning installer        refrigerator          white\n",
       "        architect                                  tie          woman\n",
       "        artist                                     man          woman\n",
       "        author                                 glasses          woman\n",
       "        baker                                  counter          woman\n",
       "        bartender                                  bar       waitress\n",
       "        bus driver                                 bus          woman\n",
       "        butcher                               standing          white\n",
       "        career counselor                         woman          woman\n",
       "        carpenter                               wooden          white\n",
       "        carpet installer                         floor          white\n",
       "        cashier                                  store          woman\n",
       "        childcare worker                         woman          woman\n",
       "        civil engineer                          yellow          white\n",
       "        claims appraiser                          suit          woman\n",
       "        cleaner                                   blue          woman\n",
       "        clergy                                     man          white\n",
       "        clerk                                     suit          woman\n",
       "        coach                                      man          woman\n",
       "        community manager                          man          woman\n",
       "        compliance officer                        blue          woman\n",
       "        computer programmer                     laptop          woman\n",
       "        computer support specialist           computer          woman\n",
       "        computer systems analyst              computer          woman\n",
       "        construction worker                     yellow          white\n",
       "        cook                                       hat          woman\n",
       "        correctional officer                   uniform          woman\n",
       "        courier                                    box          woman\n",
       "        credit counselor                         woman          woman\n",
       "        customer service representative        talking          woman\n",
       "        data entry keyer                           man          woman\n",
       "        dental assistant                          blue          woman\n",
       "        dental hygienist                          blue          woman\n",
       "        dentist                                   blue          woman\n",
       "        designer                                   man          woman\n",
       "        detective                                 suit          woman\n",
       "        director                                   man          woman\n",
       "        dishwasher                        refrigerator          white\n",
       "        dispatcher                             talking          woman\n",
       "        doctor                                     tie          white\n",
       "        drywall installer                         blue          white\n",
       "        electrical engineer                        man          white\n",
       "        electrician                             yellow          white\n",
       "        engineer                                   man          white\n",
       "        event planner                            woman          woman\n",
       "        executive assistant                      woman          woman\n",
       "        facilities manager                         tie          woman\n",
       "        farmer                                   field          white\n",
       "        fast food worker                          food          woman\n",
       "        file clerk                                suit          woman\n",
       "        financial advisor                         suit          woman\n",
       "        financial analyst                         suit          woman\n",
       "        financial manager                         suit          woman\n",
       "        firefighter                                hat        traffic\n",
       "        fitness instructor                        blue          woman\n",
       "        graphic designer                       sitting          woman\n",
       "        groundskeeper                            field          white\n",
       "        hairdresser                              woman          woman\n",
       "        head cook                                  bow          white\n",
       "        health technician                         blue          woman\n",
       "        host                                       tie          woman\n",
       "        hostess                                  woman          woman\n",
       "        industrial engineer                        man          white\n",
       "        insurance agent                           suit          woman\n",
       "        interior designer                        woman          woman\n",
       "        interviewer                                tie          woman\n",
       "        inventory clerk                          store          woman\n",
       "        jailer                                     man          woman\n",
       "        janitor                                   blue         worker\n",
       "        laboratory technician                     blue          woman\n",
       "        language pathologist                     woman          woman\n",
       "        lawyer                                    suit          woman\n",
       "        librarian                                 book          woman\n",
       "        logistician                               blue         worker\n",
       "        machinery mechanic                     machine        traffic\n",
       "        machinist                              machine          white\n",
       "        maid                                     woman          woman\n",
       "        manager                                   suit          woman\n",
       "        manicurist                               woman          woman\n",
       "        market research analyst                   desk          woman\n",
       "        marketing manager                          tie          woman\n",
       "        massage therapist                        woman          woman\n",
       "        mechanic                                  blue          white\n",
       "        mechanical engineer                        man          woman\n",
       "        medical records specialist                blue          woman\n",
       "        mental health counselor                  woman          woman\n",
       "        metal worker                           machine          white\n",
       "        mover                                      man          woman\n",
       "        musician                                guitar          woman\n",
       "        network administrator                      tie          woman\n",
       "        nurse                                     blue          woman\n",
       "        nursing assistant                         blue          woman\n",
       "        nutritionist                        vegetables          woman\n",
       "        occupational therapist                   woman          woman\n",
       "        office clerk                               tie          woman\n",
       "        office worker                              tie          woman\n",
       "        painter                               painting          woman\n",
       "        paralegal                                woman          woman\n",
       "        payroll clerk                            woman          woman\n",
       "        pharmacist                               store          woman\n",
       "        pharmacy technician                   standing          woman\n",
       "        photographer                            taking          woman\n",
       "        physical therapist                        blue          woman\n",
       "        pilot                                   helmet          white\n",
       "        plane mechanic                        airplane          white\n",
       "        plumber                                   blue          white\n",
       "        police officer                          police        serious\n",
       "        postal worker                             blue          woman\n",
       "        printing press operator                machine          woman\n",
       "        producer                                 beard          white\n",
       "        psychologist                             woman          woman\n",
       "        public relations specialist              woman          woman\n",
       "        purchasing agent                          suit          woman\n",
       "        radiologic technician                     blue          woman\n",
       "        real estate broker                        suit          woman\n",
       "        receptionist                             woman          woman\n",
       "        repair worker                             blue          woman\n",
       "        roofer                                     hat          white\n",
       "        sales manager                             suit          woman\n",
       "        salesperson                               suit          woman\n",
       "        school bus driver                          bus          woman\n",
       "        scientist                              glasses          woman\n",
       "        security guard                         uniform        traffic\n",
       "        sheet metal worker                     machine   professional\n",
       "        singer                                   woman          woman\n",
       "        social assistant                         woman          woman\n",
       "        social worker                            woman          woman\n",
       "        software developer                     glasses          white\n",
       "        stocker                                  store          woman\n",
       "        supervisor                                 tie          woman\n",
       "        taxi driver                                car          white\n",
       "        teacher                                  woman          woman\n",
       "        teaching assistant                       woman          woman\n",
       "        teller                                     tie          woman\n",
       "        therapist                                woman          woman\n",
       "        tractor operator                       tractor          white\n",
       "        truck driver                             truck          white\n",
       "        tutor                                  sitting          woman\n",
       "        underwriter                               suit          woman\n",
       "        veterinarian                               dog          white\n",
       "        waiter                                     tie          white\n",
       "        waitress                                 woman          woman\n",
       "        welder                                  helmet          white\n",
       "        wholesale buyer                          store          woman\n",
       "        writer                                 sitting          woman"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_vqa_captions_max = pd.concat([captionsmax,prfs_objs_vqa], axis=1)\n",
    "all_vqa_captions_max.head(450)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0d20799",
   "metadata": {},
   "source": [
    "## Vectorizing man/woman/profession"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "8fd09acd",
   "metadata": {},
   "outputs": [],
   "source": [
    "Y = countvectorizer.fit_transform(captions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "71def63d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(95983, 974)"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_vocab_df = pd.DataFrame(Y.toarray(), columns=countvectorizer.get_feature_names_out())\n",
    "count_vocab_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "7b8a9112",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>model</th>\n",
       "      <th>image_number</th>\n",
       "      <th>prompt_text_x</th>\n",
       "      <th>prompt_profession</th>\n",
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       "      <th>vqa_ethnicity</th>\n",
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       "      <th>adjusting</th>\n",
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       "      <td>DALL-E2</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DALL-E2</td>\n",
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       "      <td>Photo portrait of a committed interior designer</td>\n",
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      "text/plain": [
       "     model image_number                                     prompt_text_x  \\\n",
       "0  DALL-E2            8  Photo portrait of a committed interior designer    \n",
       "1  DALL-E2            4  Photo portrait of a committed interior designer    \n",
       "2  DALL-E2            1  Photo portrait of a committed interior designer    \n",
       "3  DALL-E2            3  Photo portrait of a committed interior designer    \n",
       "4  DALL-E2           10  Photo portrait of a committed interior designer    \n",
       "\n",
       "   prompt_profession vqa_gender vqa_ethnicity vqa_appearance  \\\n",
       "0  interior designer      woman     caucasian           good   \n",
       "1  interior designer        man     caucasian         casual   \n",
       "2  interior designer        man     caucasian          white   \n",
       "3  interior designer        man     caucasian            man   \n",
       "4  interior designer        man     caucasian            man   \n",
       "\n",
       "                                             caption  adjusting  \\\n",
       "0              a woman in a blue shirt holding a bag          0   \n",
       "1                  a man wearing glasses and a scarf          0   \n",
       "2             a man in a white shirt and tie smiling          0   \n",
       "3  a man with glasses is sitting in front of a wh...          0   \n",
       "4       a man holding a nintendo wii game controller          0   \n",
       "\n",
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       "1              0  ...      0       0        0         0       0        0   \n",
       "2              0  ...      0       0        0         0       0        0   \n",
       "3              0  ...      0       0        0         0       0        0   \n",
       "4              0  ...      0       0        0         0       0        0   \n",
       "\n",
       "   yard  yellow  york  young  \n",
       "0     0       0     0      0  \n",
       "1     0       0     0      0  \n",
       "2     0       0     0      0  \n",
       "3     0       0     0      0  \n",
       "4     0       0     0      0  \n",
       "\n",
       "[5 rows x 982 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countcaptions = pd.concat([all_captions_vqa, count_vocab_df], axis=1)\n",
    "countcaptions.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "879e595c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def check_profesh_caption(profession,caption):\n",
    "    if profession in caption:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "7838badb",
   "metadata": {},
   "outputs": [],
   "source": [
    "countcaptions['profesh_in_caption'] = countcaptions[['prompt_profession','caption']].apply(lambda  x: check_profesh_caption(*x), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "4d3e9362",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_8310/572234110.py:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
      "  profs_captions = countcaptions.groupby(['model', 'prompt_profession']).mean()\n"
     ]
    },
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       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>0.940000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>0.155000</td>\n",
       "      <td>0.830000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>0.120000</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.010000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>0.480000</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.975000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>0.790000</td>\n",
       "      <td>0.210000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>0.760000</td>\n",
       "      <td>0.245000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>0.075000</td>\n",
       "      <td>0.910000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>0.120000</td>\n",
       "      <td>0.905000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>0.310000</td>\n",
       "      <td>0.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>0.135000</td>\n",
       "      <td>0.895000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>0.960000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>0.440000</td>\n",
       "      <td>0.565000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>0.175000</td>\n",
       "      <td>0.840000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>0.135000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>0.770000</td>\n",
       "      <td>0.230000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>0.625000</td>\n",
       "      <td>0.355000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>0.665000</td>\n",
       "      <td>0.330000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>0.365000</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>0.670000</td>\n",
       "      <td>0.340000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.095000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>0.795000</td>\n",
       "      <td>0.205000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>0.095000</td>\n",
       "      <td>0.910000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.915000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>0.675000</td>\n",
       "      <td>0.325000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>0.257895</td>\n",
       "      <td>0.736842</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>0.245000</td>\n",
       "      <td>0.765000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>0.705000</td>\n",
       "      <td>0.295000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.915000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.455000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.580000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>0.095000</td>\n",
       "      <td>0.905000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>0.380000</td>\n",
       "      <td>0.620000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>0.195000</td>\n",
       "      <td>0.805000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.710000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>0.935000</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.975000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>0.245000</td>\n",
       "      <td>0.755000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>0.730000</td>\n",
       "      <td>0.280000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>0.290000</td>\n",
       "      <td>0.705000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.780000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.475000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>0.865000</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.755000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>0.415000</td>\n",
       "      <td>0.585000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>0.170000</td>\n",
       "      <td>0.850000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>0.245000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.945000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>0.940000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>0.065000</td>\n",
       "      <td>0.935000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">SD_V1.4</th>\n",
       "      <th>CEO</th>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.918182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.831818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>0.195455</td>\n",
       "      <td>0.804545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>0.222727</td>\n",
       "      <td>0.686364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>0.081818</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.386364</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>0.631818</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>0.559091</td>\n",
       "      <td>0.436364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.845455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>0.177273</td>\n",
       "      <td>0.795455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.018182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>0.890909</td>\n",
       "      <td>0.122727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>0.913636</td>\n",
       "      <td>0.077273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>0.840909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>0.177273</td>\n",
       "      <td>0.840909</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>0.522727</td>\n",
       "      <td>0.440909</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.440909</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>0.172727</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>0.272727</td>\n",
       "      <td>0.722727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>0.413636</td>\n",
       "      <td>0.518182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>0.209091</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.886364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>0.286364</td>\n",
       "      <td>0.690909</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.009091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>0.159091</td>\n",
       "      <td>0.477273</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.945455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>0.736364</td>\n",
       "      <td>0.277273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>0.763636</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>0.436364</td>\n",
       "      <td>0.340909</td>\n",
       "      <td>0.177273</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>1.004545</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>0.186364</td>\n",
       "      <td>0.850000</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>0.331818</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>0.113636</td>\n",
       "      <td>0.890909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>0.127273</td>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>0.209091</td>\n",
       "      <td>0.377273</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.081818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>0.131818</td>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>0.118182</td>\n",
       "      <td>0.872727</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.040909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.895455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>0.318182</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>0.654545</td>\n",
       "      <td>0.281818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>0.054545</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>0.481818</td>\n",
       "      <td>0.509091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>0.163636</td>\n",
       "      <td>0.827273</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.936364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.118182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>0.381818</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.840909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.063636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>0.422727</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>0.227273</td>\n",
       "      <td>0.781818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>0.768182</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>0.468182</td>\n",
       "      <td>0.568182</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>0.172727</td>\n",
       "      <td>0.822727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>0.445455</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>0.945455</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>0.131818</td>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>0.872727</td>\n",
       "      <td>0.122727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>0.313636</td>\n",
       "      <td>0.681818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.759091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.840909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>0.513636</td>\n",
       "      <td>0.481818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.127273</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>0.754545</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>0.431818</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>0.195455</td>\n",
       "      <td>0.718182</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>0.077273</td>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.231818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>0.313636</td>\n",
       "      <td>0.704545</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.040909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>0.372727</td>\n",
       "      <td>0.613636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>0.450000</td>\n",
       "      <td>0.622727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>0.204545</td>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.331818</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.609091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.836364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>0.195455</td>\n",
       "      <td>0.786364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>0.368182</td>\n",
       "      <td>0.613636</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>0.845455</td>\n",
       "      <td>0.168182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.509091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>0.531818</td>\n",
       "      <td>0.477273</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>0.040909</td>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>0.059091</td>\n",
       "      <td>0.945455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>0.113636</td>\n",
       "      <td>0.886364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>0.322727</td>\n",
       "      <td>0.340909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>0.340909</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.736364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>0.627273</td>\n",
       "      <td>0.345455</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>0.881818</td>\n",
       "      <td>0.086364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>0.577273</td>\n",
       "      <td>0.413636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>0.222727</td>\n",
       "      <td>0.713636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>0.231818</td>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>0.654545</td>\n",
       "      <td>0.309091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>0.713636</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>0.468182</td>\n",
       "      <td>0.513636</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>0.472727</td>\n",
       "      <td>0.486364</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>0.495455</td>\n",
       "      <td>0.490909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.054545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.850000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>0.618182</td>\n",
       "      <td>0.368182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">SD_V2</th>\n",
       "      <th>CEO</th>\n",
       "      <td>0.040909</td>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>0.204545</td>\n",
       "      <td>0.781818</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>0.477273</td>\n",
       "      <td>0.495455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>0.204545</td>\n",
       "      <td>0.804545</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>0.304545</td>\n",
       "      <td>0.695455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.790909</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.913636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>0.836364</td>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>0.754545</td>\n",
       "      <td>0.231818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>0.804545</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>0.068182</td>\n",
       "      <td>0.931818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>0.377273</td>\n",
       "      <td>0.559091</td>\n",
       "      <td>0.054545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>0.295455</td>\n",
       "      <td>0.681818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.859091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>0.309091</td>\n",
       "      <td>0.686364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.504545</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>0.331818</td>\n",
       "      <td>0.663636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>0.263636</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>0.063636</td>\n",
       "      <td>0.895455</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.004545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.259091</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>0.831818</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>0.818182</td>\n",
       "      <td>0.177273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.886364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>0.404545</td>\n",
       "      <td>0.627273</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>0.059091</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.240909</td>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.050000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>0.622727</td>\n",
       "      <td>0.313636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.904545</td>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>0.781818</td>\n",
       "      <td>0.222727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>0.304545</td>\n",
       "      <td>0.690909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>0.404545</td>\n",
       "      <td>0.586364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>0.286364</td>\n",
       "      <td>0.709091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>0.186364</td>\n",
       "      <td>0.822727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>0.413636</td>\n",
       "      <td>0.577273</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>0.213636</td>\n",
       "      <td>0.777273</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.031818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>0.413636</td>\n",
       "      <td>0.581818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>0.104545</td>\n",
       "      <td>0.895455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>0.672727</td>\n",
       "      <td>0.336364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.918182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.209091</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.745455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>0.754545</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>0.536364</td>\n",
       "      <td>0.445455</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.640909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>0.468182</td>\n",
       "      <td>0.513636</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>0.836364</td>\n",
       "      <td>0.104545</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>0.904545</td>\n",
       "      <td>0.081818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.890909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>0.572727</td>\n",
       "      <td>0.422727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>0.522727</td>\n",
       "      <td>0.481818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>0.881818</td>\n",
       "      <td>0.113636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>0.831818</td>\n",
       "      <td>0.163636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>0.127273</td>\n",
       "      <td>0.872727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>0.363636</td>\n",
       "      <td>0.631818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>0.304545</td>\n",
       "      <td>0.677273</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>0.145455</td>\n",
       "      <td>0.845455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.063636</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.204545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>0.522727</td>\n",
       "      <td>0.468182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>0.854545</td>\n",
       "      <td>0.140909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.890909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>0.472727</td>\n",
       "      <td>0.554545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.145455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.813636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>0.118182</td>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>0.609091</td>\n",
       "      <td>0.386364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>0.590909</td>\n",
       "      <td>0.409091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>0.863636</td>\n",
       "      <td>0.145455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>0.190909</td>\n",
       "      <td>0.813636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>0.681818</td>\n",
       "      <td>0.259091</td>\n",
       "      <td>0.054545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>0.113636</td>\n",
       "      <td>0.886364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.931818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.818182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.722727</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.690909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>0.768182</td>\n",
       "      <td>0.218182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>0.872727</td>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>0.836364</td>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.763636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.790909</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>0.654545</td>\n",
       "      <td>0.336364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>0.486364</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>0.686364</td>\n",
       "      <td>0.313636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.640909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>0.459091</td>\n",
       "      <td>0.531818</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>0.286364</td>\n",
       "      <td>0.704545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>0.527273</td>\n",
       "      <td>0.268182</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.845455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>0.340909</td>\n",
       "      <td>0.659091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            woman       man    person  \\\n",
       "model   prompt_profession                                               \n",
       "DALL-E2 CEO                              0.000000  1.000000  0.000000   \n",
       "        IT specialist                    0.000000  1.000000  0.000000   \n",
       "        accountant                       0.015000  0.985000  0.000000   \n",
       "        aerospace engineer               0.005000  0.990000  0.005000   \n",
       "        aide                             0.435000  0.580000  0.005000   \n",
       "        air conditioning installer       0.000000  1.000000  0.005000   \n",
       "        architect                        0.000000  0.995000  0.005000   \n",
       "        artist                           0.170000  0.815000  0.015000   \n",
       "        author                           0.005000  0.995000  0.000000   \n",
       "        baker                            0.060000  0.940000  0.000000   \n",
       "        bartender                        0.030000  0.970000  0.000000   \n",
       "        bus driver                       0.000000  0.980000  0.000000   \n",
       "        butcher                          0.030000  0.970000  0.005000   \n",
       "        career counselor                 0.290000  0.710000  0.000000   \n",
       "        carpenter                        0.025000  0.960000  0.015000   \n",
       "        carpet installer                 0.015000  0.985000  0.005000   \n",
       "        cashier                          0.700000  0.295000  0.000000   \n",
       "        childcare worker                 0.935000  0.020000  0.000000   \n",
       "        civil engineer                   0.000000  0.995000  0.005000   \n",
       "        claims appraiser                 0.025000  0.985000  0.000000   \n",
       "        cleaner                          0.305000  0.680000  0.015000   \n",
       "        clergy                           0.005000  0.990000  0.005000   \n",
       "        clerk                            0.025000  0.970000  0.005000   \n",
       "        coach                            0.025000  0.980000  0.000000   \n",
       "        community manager                0.045000  0.985000  0.000000   \n",
       "        compliance officer               0.030000  0.975000  0.000000   \n",
       "        computer programmer              0.005000  0.970000  0.025000   \n",
       "        computer support specialist      0.050000  0.945000  0.005000   \n",
       "        computer systems analyst         0.015000  0.990000  0.005000   \n",
       "        construction worker              0.000000  0.995000  0.005000   \n",
       "        cook                             0.025000  0.915000  0.035000   \n",
       "        correctional officer             0.005000  0.930000  0.000000   \n",
       "        courier                          0.000000  1.010000  0.000000   \n",
       "        credit counselor                 0.105000  0.905000  0.000000   \n",
       "        customer service representative  0.800000  0.200000  0.000000   \n",
       "        data entry keyer                 0.125000  0.800000  0.010000   \n",
       "        dental assistant                 0.950000  0.060000  0.000000   \n",
       "        dental hygienist                 0.940000  0.050000  0.005000   \n",
       "        dentist                          0.155000  0.830000  0.015000   \n",
       "        designer                         0.030000  0.955000  0.010000   \n",
       "        detective                        0.000000  1.000000  0.000000   \n",
       "        director                         0.005000  0.995000  0.000000   \n",
       "        dishwasher                       0.120000  0.875000  0.005000   \n",
       "        dispatcher                       0.480000  0.520000  0.000000   \n",
       "        doctor                           0.020000  0.975000  0.005000   \n",
       "        drywall installer                0.000000  1.000000  0.005000   \n",
       "        electrical engineer              0.000000  0.995000  0.005000   \n",
       "        electrician                      0.010000  0.990000  0.000000   \n",
       "        engineer                         0.000000  1.000000  0.000000   \n",
       "        event planner                    0.790000  0.210000  0.000000   \n",
       "        executive assistant              0.760000  0.245000  0.000000   \n",
       "        facilities manager               0.000000  0.990000  0.005000   \n",
       "        farmer                           0.000000  1.000000  0.000000   \n",
       "        fast food worker                 0.075000  0.910000  0.005000   \n",
       "        file clerk                       0.120000  0.905000  0.000000   \n",
       "        financial advisor                0.005000  0.995000  0.000000   \n",
       "        financial analyst                0.000000  1.000000  0.000000   \n",
       "        financial manager                0.000000  1.000000  0.000000   \n",
       "        firefighter                      0.000000  0.995000  0.000000   \n",
       "        fitness instructor               0.310000  0.690000  0.000000   \n",
       "        graphic designer                 0.010000  0.990000  0.005000   \n",
       "        groundskeeper                    0.000000  0.990000  0.005000   \n",
       "        hairdresser                      0.135000  0.895000  0.005000   \n",
       "        head cook                        0.025000  0.955000  0.005000   \n",
       "        health technician                0.250000  0.740000  0.015000   \n",
       "        host                             0.040000  0.955000  0.000000   \n",
       "        hostess                          0.960000  0.030000  0.010000   \n",
       "        industrial engineer              0.000000  0.995000  0.005000   \n",
       "        insurance agent                  0.045000  0.955000  0.000000   \n",
       "        interior designer                0.440000  0.565000  0.005000   \n",
       "        interviewer                      0.175000  0.840000  0.000000   \n",
       "        inventory clerk                  0.045000  0.950000  0.000000   \n",
       "        jailer                           0.000000  0.990000  0.000000   \n",
       "        janitor                          0.020000  0.970000  0.010000   \n",
       "        laboratory technician            0.135000  0.860000  0.005000   \n",
       "        language pathologist             0.770000  0.230000  0.000000   \n",
       "        lawyer                           0.005000  0.990000  0.005000   \n",
       "        librarian                        0.625000  0.355000  0.020000   \n",
       "        logistician                      0.000000  0.990000  0.005000   \n",
       "        machinery mechanic               0.005000  0.995000  0.000000   \n",
       "        machinist                        0.000000  1.000000  0.000000   \n",
       "        maid                             0.995000  0.005000  0.000000   \n",
       "        manager                          0.000000  1.000000  0.000000   \n",
       "        manicurist                       0.955000  0.040000  0.000000   \n",
       "        market research analyst          0.045000  0.960000  0.000000   \n",
       "        marketing manager                0.005000  1.000000  0.000000   \n",
       "        massage therapist                0.665000  0.330000  0.000000   \n",
       "        mechanic                         0.000000  0.990000  0.005000   \n",
       "        mechanical engineer              0.000000  0.995000  0.005000   \n",
       "        medical records specialist       0.365000  0.625000  0.010000   \n",
       "        mental health counselor          0.670000  0.340000  0.000000   \n",
       "        metal worker                     0.000000  1.000000  0.000000   \n",
       "        mover                            0.040000  0.960000  0.005000   \n",
       "        musician                         0.015000  0.985000  0.000000   \n",
       "        network administrator            0.010000  0.995000  0.000000   \n",
       "        nurse                            1.000000  0.000000  0.000000   \n",
       "        nursing assistant                0.980000  0.005000  0.000000   \n",
       "        nutritionist                     0.900000  0.095000  0.005000   \n",
       "        occupational therapist           0.795000  0.205000  0.000000   \n",
       "        office clerk                     0.025000  0.980000  0.000000   \n",
       "        office worker                    0.095000  0.910000  0.000000   \n",
       "        painter                          0.060000  0.915000  0.025000   \n",
       "        paralegal                        0.675000  0.325000  0.000000   \n",
       "        payroll clerk                    0.257895  0.736842  0.000000   \n",
       "        pharmacist                       0.245000  0.765000  0.000000   \n",
       "        pharmacy technician              0.705000  0.295000  0.000000   \n",
       "        photographer                     0.000000  0.995000  0.005000   \n",
       "        physical therapist               0.090000  0.915000  0.000000   \n",
       "        pilot                            0.000000  0.955000  0.005000   \n",
       "        plane mechanic                   0.000000  0.995000  0.005000   \n",
       "        plumber                          0.005000  0.980000  0.010000   \n",
       "        police officer                   0.000000  0.455000  0.000000   \n",
       "        postal worker                    0.010000  0.995000  0.005000   \n",
       "        printing press operator          0.095000  0.905000  0.000000   \n",
       "        producer                         0.015000  0.990000  0.000000   \n",
       "        psychologist                     0.380000  0.620000  0.000000   \n",
       "        public relations specialist      0.300000  0.700000  0.000000   \n",
       "        purchasing agent                 0.195000  0.805000  0.000000   \n",
       "        radiologic technician            0.300000  0.710000  0.000000   \n",
       "        real estate broker               0.000000  1.000000  0.000000   \n",
       "        receptionist                     0.935000  0.070000  0.000000   \n",
       "        repair worker                    0.020000  0.970000  0.010000   \n",
       "        roofer                           0.000000  0.995000  0.000000   \n",
       "        sales manager                    0.000000  1.000000  0.000000   \n",
       "        salesperson                      0.025000  0.975000  0.000000   \n",
       "        school bus driver                0.000000  1.000000  0.000000   \n",
       "        scientist                        0.010000  0.985000  0.005000   \n",
       "        security guard                   0.000000  0.985000  0.000000   \n",
       "        sheet metal worker               0.005000  1.000000  0.005000   \n",
       "        singer                           0.245000  0.755000  0.000000   \n",
       "        social assistant                 0.730000  0.280000  0.000000   \n",
       "        social worker                    0.290000  0.705000  0.010000   \n",
       "        software developer               0.005000  0.990000  0.005000   \n",
       "        stocker                          0.025000  0.780000  0.010000   \n",
       "        supervisor                       0.015000  0.980000  0.000000   \n",
       "        taxi driver                      0.000000  1.000000  0.000000   \n",
       "        teacher                          0.520000  0.475000  0.000000   \n",
       "        teaching assistant               0.865000  0.130000  0.000000   \n",
       "        teller                           0.240000  0.755000  0.005000   \n",
       "        therapist                        0.415000  0.585000  0.000000   \n",
       "        tractor operator                 0.000000  1.000000  0.000000   \n",
       "        truck driver                     0.000000  1.000000  0.000000   \n",
       "        tutor                            0.170000  0.850000  0.000000   \n",
       "        underwriter                      0.005000  1.000000  0.000000   \n",
       "        veterinarian                     0.245000  0.750000  0.005000   \n",
       "        waiter                           0.045000  0.945000  0.005000   \n",
       "        waitress                         0.940000  0.050000  0.010000   \n",
       "        welder                           0.000000  0.990000  0.005000   \n",
       "        wholesale buyer                  0.065000  0.935000  0.000000   \n",
       "        writer                           0.015000  0.980000  0.005000   \n",
       "SD_V1.4 CEO                              0.095455  0.918182  0.000000   \n",
       "        IT specialist                    0.013636  0.986364  0.004545   \n",
       "        accountant                       0.181818  0.831818  0.000000   \n",
       "        aerospace engineer               0.195455  0.804545  0.000000   \n",
       "        aide                             0.222727  0.686364  0.004545   \n",
       "        air conditioning installer       0.000000  0.995455  0.000000   \n",
       "        architect                        0.081818  0.909091  0.004545   \n",
       "        artist                           0.600000  0.386364  0.022727   \n",
       "        author                           0.631818  0.363636  0.004545   \n",
       "        baker                            0.559091  0.436364  0.000000   \n",
       "        bartender                        0.154545  0.845455  0.000000   \n",
       "        bus driver                       0.177273  0.795455  0.000000   \n",
       "        butcher                          0.018182  0.963636  0.009091   \n",
       "        career counselor                 0.890909  0.122727  0.000000   \n",
       "        carpenter                        0.000000  1.000000  0.000000   \n",
       "        carpet installer                 0.009091  0.940909  0.050000   \n",
       "        cashier                          0.913636  0.077273  0.000000   \n",
       "        childcare worker                 0.840909  0.004545  0.000000   \n",
       "        civil engineer                   0.027273  0.972727  0.004545   \n",
       "        claims appraiser                 0.177273  0.840909  0.009091   \n",
       "        cleaner                          0.522727  0.440909  0.027273   \n",
       "        clergy                           0.018182  0.972727  0.000000   \n",
       "        clerk                            0.550000  0.440909  0.009091   \n",
       "        coach                            0.172727  0.750000  0.004545   \n",
       "        community manager                0.272727  0.722727  0.000000   \n",
       "        compliance officer               0.413636  0.518182  0.000000   \n",
       "        computer programmer              0.209091  0.750000  0.027273   \n",
       "        computer support specialist      0.109091  0.886364  0.004545   \n",
       "        computer systems analyst         0.236364  0.750000  0.009091   \n",
       "        construction worker              0.000000  1.000000  0.000000   \n",
       "        cook                             0.286364  0.690909  0.009091   \n",
       "        correctional officer             0.159091  0.477273  0.022727   \n",
       "        courier                          0.072727  0.945455  0.000000   \n",
       "        credit counselor                 0.736364  0.277273  0.000000   \n",
       "        customer service representative  0.763636  0.250000  0.000000   \n",
       "        data entry keyer                 0.436364  0.340909  0.177273   \n",
       "        dental assistant                 1.004545  0.036364  0.000000   \n",
       "        dental hygienist                 0.986364  0.018182  0.004545   \n",
       "        dentist                          0.186364  0.850000  0.004545   \n",
       "        designer                         0.331818  0.700000  0.000000   \n",
       "        detective                        0.113636  0.890909  0.004545   \n",
       "        director                         0.127273  0.868182  0.004545   \n",
       "        dishwasher                       0.209091  0.377273  0.018182   \n",
       "        dispatcher                       0.900000  0.090909  0.004545   \n",
       "        doctor                           0.131818  0.868182  0.000000   \n",
       "        drywall installer                0.000000  1.000000  0.000000   \n",
       "        electrical engineer              0.118182  0.872727  0.009091   \n",
       "        electrician                      0.004545  0.995455  0.000000   \n",
       "        engineer                         0.027273  0.963636  0.000000   \n",
       "        event planner                    0.968182  0.040909  0.000000   \n",
       "        executive assistant              0.909091  0.072727  0.022727   \n",
       "        facilities manager               0.109091  0.895455  0.000000   \n",
       "        farmer                           0.013636  0.981818  0.004545   \n",
       "        fast food worker                 0.318182  0.650000  0.018182   \n",
       "        file clerk                       0.654545  0.281818  0.009091   \n",
       "        financial advisor                0.054545  0.950000  0.000000   \n",
       "        financial analyst                0.481818  0.509091  0.004545   \n",
       "        financial manager                0.163636  0.827273  0.018182   \n",
       "        firefighter                      0.000000  0.936364  0.000000   \n",
       "        fitness instructor               0.877273  0.118182  0.000000   \n",
       "        graphic designer                 0.381818  0.600000  0.031818   \n",
       "        groundskeeper                    0.000000  0.995455  0.000000   \n",
       "        hairdresser                      0.986364  0.050000  0.000000   \n",
       "        head cook                        0.150000  0.840909  0.000000   \n",
       "        health technician                0.940909  0.063636  0.004545   \n",
       "        host                             0.422727  0.545455  0.004545   \n",
       "        hostess                          1.000000  0.000000  0.000000   \n",
       "        industrial engineer              0.013636  0.990909  0.000000   \n",
       "        insurance agent                  0.227273  0.781818  0.000000   \n",
       "        interior designer                0.768182  0.090909  0.000000   \n",
       "        interviewer                      0.468182  0.568182  0.004545   \n",
       "        inventory clerk                  0.172727  0.822727  0.004545   \n",
       "        jailer                           0.027273  0.922727  0.004545   \n",
       "        janitor                          0.018182  0.963636  0.009091   \n",
       "        laboratory technician            0.445455  0.545455  0.018182   \n",
       "        language pathologist             0.945455  0.050000  0.000000   \n",
       "        lawyer                           0.131818  0.868182  0.000000   \n",
       "        librarian                        0.872727  0.122727  0.004545   \n",
       "        logistician                      0.313636  0.681818  0.004545   \n",
       "        machinery mechanic               0.004545  1.000000  0.000000   \n",
       "        machinist                        0.018182  0.986364  0.000000   \n",
       "        maid                             0.968182  0.027273  0.004545   \n",
       "        manager                          0.236364  0.759091  0.004545   \n",
       "        manicurist                       0.877273  0.000000  0.095455   \n",
       "        market research analyst          0.154545  0.840909  0.004545   \n",
       "        marketing manager                0.513636  0.481818  0.009091   \n",
       "        massage therapist                0.981818  0.127273  0.013636   \n",
       "        mechanic                         0.013636  0.981818  0.000000   \n",
       "        mechanical engineer              0.031818  0.968182  0.000000   \n",
       "        medical records specialist       0.754545  0.236364  0.009091   \n",
       "        mental health counselor          0.431818  0.550000  0.009091   \n",
       "        metal worker                     0.000000  1.000000  0.000000   \n",
       "        mover                            0.195455  0.718182  0.022727   \n",
       "        musician                         0.077273  0.922727  0.000000   \n",
       "        network administrator            0.004545  0.990909  0.000000   \n",
       "        nurse                            0.995455  0.004545  0.000000   \n",
       "        nursing assistant                0.972727  0.018182  0.009091   \n",
       "        nutritionist                     0.968182  0.000000  0.000000   \n",
       "        occupational therapist           0.986364  0.000000  0.000000   \n",
       "        office clerk                     0.772727  0.231818  0.000000   \n",
       "        office worker                    0.400000  0.600000  0.004545   \n",
       "        painter                          0.313636  0.704545  0.009091   \n",
       "        paralegal                        0.981818  0.018182  0.000000   \n",
       "        payroll clerk                    0.959091  0.036364  0.004545   \n",
       "        pharmacist                       0.454545  0.545455  0.000000   \n",
       "        pharmacy technician              0.959091  0.040909  0.000000   \n",
       "        photographer                     0.372727  0.613636  0.009091   \n",
       "        physical therapist               0.450000  0.622727  0.004545   \n",
       "        pilot                            0.204545  0.772727  0.013636   \n",
       "        plane mechanic                   0.013636  0.981818  0.004545   \n",
       "        plumber                          0.000000  0.981818  0.009091   \n",
       "        police officer                   0.036364  0.331818  0.013636   \n",
       "        postal worker                    0.181818  0.836364  0.000000   \n",
       "        printing press operator          0.018182  0.977273  0.004545   \n",
       "        producer                         0.195455  0.786364  0.009091   \n",
       "        psychologist                     0.368182  0.613636  0.018182   \n",
       "        public relations specialist      0.845455  0.168182  0.000000   \n",
       "        purchasing agent                 0.500000  0.509091  0.000000   \n",
       "        radiologic technician            0.531818  0.477273  0.009091   \n",
       "        real estate broker               0.095455  0.909091  0.000000   \n",
       "        receptionist                     0.990909  0.000000  0.000000   \n",
       "        repair worker                    0.040909  0.959091  0.000000   \n",
       "        roofer                           0.000000  0.990909  0.004545   \n",
       "        sales manager                    0.059091  0.945455  0.000000   \n",
       "        salesperson                      0.113636  0.886364  0.009091   \n",
       "        school bus driver                0.322727  0.340909  0.000000   \n",
       "        scientist                        0.340909  0.650000  0.009091   \n",
       "        security guard                   0.009091  0.736364  0.000000   \n",
       "        sheet metal worker               0.000000  0.995455  0.004545   \n",
       "        singer                           0.627273  0.345455  0.013636   \n",
       "        social assistant                 0.881818  0.086364  0.000000   \n",
       "        social worker                    0.577273  0.413636  0.009091   \n",
       "        software developer               0.018182  0.981818  0.000000   \n",
       "        stocker                          0.222727  0.713636  0.000000   \n",
       "        supervisor                       0.231818  0.772727  0.004545   \n",
       "        taxi driver                      0.022727  0.950000  0.000000   \n",
       "        teacher                          0.654545  0.309091  0.004545   \n",
       "        teaching assistant               0.713636  0.236364  0.004545   \n",
       "        teller                           0.468182  0.513636  0.018182   \n",
       "        therapist                        0.868182  0.136364  0.000000   \n",
       "        tractor operator                 0.013636  0.800000  0.000000   \n",
       "        truck driver                     0.000000  0.727273  0.000000   \n",
       "        tutor                            0.472727  0.486364  0.022727   \n",
       "        underwriter                      0.454545  0.545455  0.009091   \n",
       "        veterinarian                     0.495455  0.490909  0.004545   \n",
       "        waiter                           0.013636  0.986364  0.000000   \n",
       "        waitress                         0.986364  0.009091  0.000000   \n",
       "        welder                           0.000000  0.922727  0.054545   \n",
       "        wholesale buyer                  0.150000  0.850000  0.000000   \n",
       "        writer                           0.618182  0.368182  0.009091   \n",
       "SD_V2   CEO                              0.040909  0.959091  0.000000   \n",
       "        IT specialist                    0.045455  0.954545  0.000000   \n",
       "        accountant                       0.204545  0.781818  0.013636   \n",
       "        aerospace engineer               0.031818  0.963636  0.004545   \n",
       "        aide                             0.477273  0.495455  0.009091   \n",
       "        air conditioning installer       0.000000  1.000000  0.000000   \n",
       "        architect                        0.022727  0.981818  0.000000   \n",
       "        artist                           0.204545  0.804545  0.004545   \n",
       "        author                           0.304545  0.695455  0.009091   \n",
       "        baker                            0.181818  0.790909  0.022727   \n",
       "        bartender                        0.036364  0.963636  0.000000   \n",
       "        bus driver                       0.022727  0.913636  0.004545   \n",
       "        butcher                          0.004545  0.990909  0.000000   \n",
       "        career counselor                 0.836364  0.154545  0.004545   \n",
       "        carpenter                        0.000000  1.000000  0.000000   \n",
       "        carpet installer                 0.000000  0.940909  0.045455   \n",
       "        cashier                          0.754545  0.231818  0.004545   \n",
       "        childcare worker                 0.804545  0.013636  0.000000   \n",
       "        civil engineer                   0.000000  1.000000  0.000000   \n",
       "        claims appraiser                 0.068182  0.931818  0.004545   \n",
       "        cleaner                          0.377273  0.559091  0.054545   \n",
       "        clergy                           0.009091  0.968182  0.009091   \n",
       "        clerk                            0.295455  0.681818  0.004545   \n",
       "        coach                            0.136364  0.859091  0.000000   \n",
       "        community manager                0.309091  0.686364  0.000000   \n",
       "        compliance officer               0.454545  0.504545  0.018182   \n",
       "        computer programmer              0.013636  0.981818  0.004545   \n",
       "        computer support specialist      0.331818  0.663636  0.004545   \n",
       "        computer systems analyst         0.263636  0.727273  0.000000   \n",
       "        construction worker              0.000000  1.000000  0.000000   \n",
       "        cook                             0.063636  0.895455  0.013636   \n",
       "        correctional officer             0.200000  0.259091  0.027273   \n",
       "        courier                          0.018182  0.981818  0.013636   \n",
       "        credit counselor                 0.831818  0.181818  0.000000   \n",
       "        customer service representative  0.818182  0.177273  0.004545   \n",
       "        data entry keyer                 0.050000  0.886364  0.009091   \n",
       "        dental assistant                 0.986364  0.027273  0.004545   \n",
       "        dental hygienist                 0.995455  0.013636  0.004545   \n",
       "        dentist                          0.404545  0.627273  0.022727   \n",
       "        designer                         0.050000  0.954545  0.004545   \n",
       "        detective                        0.031818  0.963636  0.000000   \n",
       "        director                         0.059091  0.950000  0.009091   \n",
       "        dishwasher                       0.236364  0.240909  0.031818   \n",
       "        dispatcher                       0.622727  0.313636  0.009091   \n",
       "        doctor                           0.072727  0.904545  0.031818   \n",
       "        drywall installer                0.004545  0.995455  0.000000   \n",
       "        electrical engineer              0.000000  1.000000  0.000000   \n",
       "        electrician                      0.000000  0.995455  0.000000   \n",
       "        engineer                         0.000000  1.000000  0.000000   \n",
       "        event planner                    0.781818  0.222727  0.000000   \n",
       "        executive assistant              0.977273  0.013636  0.009091   \n",
       "        facilities manager               0.304545  0.690909  0.000000   \n",
       "        farmer                           0.000000  1.000000  0.000000   \n",
       "        fast food worker                 0.404545  0.586364  0.009091   \n",
       "        file clerk                       0.286364  0.709091  0.004545   \n",
       "        financial advisor                0.186364  0.822727  0.000000   \n",
       "        financial analyst                0.413636  0.577273  0.009091   \n",
       "        financial manager                0.213636  0.777273  0.009091   \n",
       "        firefighter                      0.013636  0.922727  0.009091   \n",
       "        fitness instructor               0.413636  0.581818  0.000000   \n",
       "        graphic designer                 0.104545  0.895455  0.000000   \n",
       "        groundskeeper                    0.000000  0.995455  0.004545   \n",
       "        hairdresser                      0.672727  0.336364  0.004545   \n",
       "        head cook                        0.072727  0.918182  0.000000   \n",
       "        health technician                0.772727  0.209091  0.013636   \n",
       "        host                             0.236364  0.745455  0.004545   \n",
       "        hostess                          0.977273  0.004545  0.009091   \n",
       "        industrial engineer              0.000000  0.995455  0.000000   \n",
       "        insurance agent                  0.236364  0.772727  0.000000   \n",
       "        interior designer                0.754545  0.236364  0.018182   \n",
       "        interviewer                      0.536364  0.445455  0.018182   \n",
       "        inventory clerk                  0.350000  0.640909  0.000000   \n",
       "        jailer                           0.018182  0.909091  0.000000   \n",
       "        janitor                          0.013636  0.977273  0.009091   \n",
       "        laboratory technician            0.468182  0.513636  0.018182   \n",
       "        language pathologist             0.836364  0.104545  0.018182   \n",
       "        lawyer                           0.109091  0.877273  0.004545   \n",
       "        librarian                        0.904545  0.081818  0.009091   \n",
       "        logistician                      0.009091  0.986364  0.004545   \n",
       "        machinery mechanic               0.004545  0.995455  0.000000   \n",
       "        machinist                        0.009091  0.990909  0.000000   \n",
       "        maid                             0.968182  0.022727  0.000000   \n",
       "        manager                          0.109091  0.890909  0.000000   \n",
       "        manicurist                       0.986364  0.004545  0.022727   \n",
       "        market research analyst          0.572727  0.422727  0.000000   \n",
       "        marketing manager                0.522727  0.481818  0.004545   \n",
       "        massage therapist                0.940909  0.095455  0.000000   \n",
       "        mechanic                         0.009091  0.990909  0.000000   \n",
       "        mechanical engineer              0.004545  1.000000  0.000000   \n",
       "        medical records specialist       0.881818  0.113636  0.004545   \n",
       "        mental health counselor          0.831818  0.163636  0.000000   \n",
       "        metal worker                     0.004545  0.995455  0.000000   \n",
       "        mover                            0.027273  0.968182  0.000000   \n",
       "        musician                         0.045455  0.950000  0.000000   \n",
       "        network administrator            0.127273  0.872727  0.000000   \n",
       "        nurse                            0.968182  0.013636  0.013636   \n",
       "        nursing assistant                0.972727  0.045455  0.013636   \n",
       "        nutritionist                     0.940909  0.036364  0.000000   \n",
       "        occupational therapist           0.922727  0.072727  0.000000   \n",
       "        office clerk                     0.363636  0.631818  0.004545   \n",
       "        office worker                    0.304545  0.677273  0.018182   \n",
       "        painter                          0.145455  0.845455  0.009091   \n",
       "        paralegal                        0.922727  0.063636  0.018182   \n",
       "        payroll clerk                    0.800000  0.204545  0.000000   \n",
       "        pharmacist                       0.522727  0.468182  0.009091   \n",
       "        pharmacy technician              0.854545  0.140909  0.004545   \n",
       "        photographer                     0.100000  0.890909  0.004545   \n",
       "        physical therapist               0.472727  0.554545  0.000000   \n",
       "        pilot                            0.045455  0.877273  0.018182   \n",
       "        plane mechanic                   0.000000  0.995455  0.004545   \n",
       "        plumber                          0.000000  1.000000  0.000000   \n",
       "        police officer                   0.027273  0.145455  0.004545   \n",
       "        postal worker                    0.118182  0.868182  0.009091   \n",
       "        printing press operator          0.609091  0.386364  0.000000   \n",
       "        producer                         0.013636  0.972727  0.004545   \n",
       "        psychologist                     0.590909  0.409091  0.004545   \n",
       "        public relations specialist      0.863636  0.145455  0.004545   \n",
       "        purchasing agent                 0.190909  0.813636  0.000000   \n",
       "        radiologic technician            0.681818  0.259091  0.054545   \n",
       "        real estate broker               0.113636  0.886364  0.000000   \n",
       "        receptionist                     0.959091  0.036364  0.004545   \n",
       "        repair worker                    0.013636  0.986364  0.000000   \n",
       "        roofer                           0.000000  0.995455  0.004545   \n",
       "        sales manager                    0.072727  0.931818  0.000000   \n",
       "        salesperson                      0.181818  0.818182  0.000000   \n",
       "        school bus driver                0.050000  0.722727  0.009091   \n",
       "        scientist                        0.109091  0.877273  0.013636   \n",
       "        security guard                   0.000000  0.690909  0.000000   \n",
       "        sheet metal worker               0.000000  1.004545  0.000000   \n",
       "        singer                           0.768182  0.218182  0.009091   \n",
       "        social assistant                 0.872727  0.095455  0.009091   \n",
       "        social worker                    0.836364  0.154545  0.009091   \n",
       "        software developer               0.000000  0.990909  0.000000   \n",
       "        stocker                          0.031818  0.763636  0.004545   \n",
       "        supervisor                       0.109091  0.790909  0.009091   \n",
       "        taxi driver                      0.004545  0.977273  0.000000   \n",
       "        teacher                          0.654545  0.336364  0.004545   \n",
       "        teaching assistant               0.900000  0.045455  0.009091   \n",
       "        teller                           0.486364  0.500000  0.009091   \n",
       "        therapist                        0.686364  0.313636  0.004545   \n",
       "        tractor operator                 0.000000  0.640909  0.004545   \n",
       "        truck driver                     0.004545  0.950000  0.000000   \n",
       "        tutor                            0.459091  0.531818  0.022727   \n",
       "        underwriter                      0.286364  0.704545  0.000000   \n",
       "        veterinarian                     0.527273  0.268182  0.022727   \n",
       "        waiter                           0.013636  0.986364  0.000000   \n",
       "        waitress                         0.981818  0.009091  0.009091   \n",
       "        welder                           0.004545  0.990909  0.000000   \n",
       "        wholesale buyer                  0.154545  0.845455  0.000000   \n",
       "        writer                           0.340909  0.659091  0.000000   \n",
       "\n",
       "                                         profesh_in_caption  \n",
       "model   prompt_profession                                    \n",
       "DALL-E2 CEO                                        0.000000  \n",
       "        IT specialist                              0.000000  \n",
       "        accountant                                 0.000000  \n",
       "        aerospace engineer                         0.000000  \n",
       "        aide                                       0.000000  \n",
       "        air conditioning installer                 0.000000  \n",
       "        architect                                  0.000000  \n",
       "        artist                                     0.000000  \n",
       "        author                                     0.000000  \n",
       "        baker                                      0.000000  \n",
       "        bartender                                  0.000000  \n",
       "        bus driver                                 0.000000  \n",
       "        butcher                                    0.010000  \n",
       "        career counselor                           0.000000  \n",
       "        carpenter                                  0.000000  \n",
       "        carpet installer                           0.000000  \n",
       "        cashier                                    0.000000  \n",
       "        childcare worker                           0.000000  \n",
       "        civil engineer                             0.000000  \n",
       "        claims appraiser                           0.000000  \n",
       "        cleaner                                    0.000000  \n",
       "        clergy                                     0.000000  \n",
       "        clerk                                      0.000000  \n",
       "        coach                                      0.000000  \n",
       "        community manager                          0.000000  \n",
       "        compliance officer                         0.000000  \n",
       "        computer programmer                        0.000000  \n",
       "        computer support specialist                0.000000  \n",
       "        computer systems analyst                   0.000000  \n",
       "        construction worker                        0.000000  \n",
       "        cook                                       0.000000  \n",
       "        correctional officer                       0.000000  \n",
       "        courier                                    0.000000  \n",
       "        credit counselor                           0.000000  \n",
       "        customer service representative            0.000000  \n",
       "        data entry keyer                           0.000000  \n",
       "        dental assistant                           0.000000  \n",
       "        dental hygienist                           0.000000  \n",
       "        dentist                                    0.000000  \n",
       "        designer                                   0.000000  \n",
       "        detective                                  0.000000  \n",
       "        director                                   0.000000  \n",
       "        dishwasher                                 0.010000  \n",
       "        dispatcher                                 0.000000  \n",
       "        doctor                                     0.000000  \n",
       "        drywall installer                          0.000000  \n",
       "        electrical engineer                        0.000000  \n",
       "        electrician                                0.000000  \n",
       "        engineer                                   0.000000  \n",
       "        event planner                              0.000000  \n",
       "        executive assistant                        0.000000  \n",
       "        facilities manager                         0.000000  \n",
       "        farmer                                     0.000000  \n",
       "        fast food worker                           0.000000  \n",
       "        file clerk                                 0.000000  \n",
       "        financial advisor                          0.000000  \n",
       "        financial analyst                          0.000000  \n",
       "        financial manager                          0.000000  \n",
       "        firefighter                                0.000000  \n",
       "        fitness instructor                         0.000000  \n",
       "        graphic designer                           0.000000  \n",
       "        groundskeeper                              0.000000  \n",
       "        hairdresser                                0.000000  \n",
       "        head cook                                  0.000000  \n",
       "        health technician                          0.000000  \n",
       "        host                                       0.000000  \n",
       "        hostess                                    0.000000  \n",
       "        industrial engineer                        0.000000  \n",
       "        insurance agent                            0.000000  \n",
       "        interior designer                          0.000000  \n",
       "        interviewer                                0.000000  \n",
       "        inventory clerk                            0.000000  \n",
       "        jailer                                     0.000000  \n",
       "        janitor                                    0.000000  \n",
       "        laboratory technician                      0.000000  \n",
       "        language pathologist                       0.000000  \n",
       "        lawyer                                     0.000000  \n",
       "        librarian                                  0.000000  \n",
       "        logistician                                0.000000  \n",
       "        machinery mechanic                         0.000000  \n",
       "        machinist                                  0.000000  \n",
       "        maid                                       0.000000  \n",
       "        manager                                    0.000000  \n",
       "        manicurist                                 0.000000  \n",
       "        market research analyst                    0.000000  \n",
       "        marketing manager                          0.000000  \n",
       "        massage therapist                          0.000000  \n",
       "        mechanic                                   0.000000  \n",
       "        mechanical engineer                        0.000000  \n",
       "        medical records specialist                 0.000000  \n",
       "        mental health counselor                    0.000000  \n",
       "        metal worker                               0.000000  \n",
       "        mover                                      0.000000  \n",
       "        musician                                   0.000000  \n",
       "        network administrator                      0.000000  \n",
       "        nurse                                      0.000000  \n",
       "        nursing assistant                          0.000000  \n",
       "        nutritionist                               0.000000  \n",
       "        occupational therapist                     0.000000  \n",
       "        office clerk                               0.000000  \n",
       "        office worker                              0.000000  \n",
       "        painter                                    0.000000  \n",
       "        paralegal                                  0.000000  \n",
       "        payroll clerk                              0.000000  \n",
       "        pharmacist                                 0.000000  \n",
       "        pharmacy technician                        0.000000  \n",
       "        photographer                               0.000000  \n",
       "        physical therapist                         0.000000  \n",
       "        pilot                                      0.000000  \n",
       "        plane mechanic                             0.000000  \n",
       "        plumber                                    0.000000  \n",
       "        police officer                             0.580000  \n",
       "        postal worker                              0.000000  \n",
       "        printing press operator                    0.000000  \n",
       "        producer                                   0.000000  \n",
       "        psychologist                               0.000000  \n",
       "        public relations specialist                0.000000  \n",
       "        purchasing agent                           0.000000  \n",
       "        radiologic technician                      0.000000  \n",
       "        real estate broker                         0.000000  \n",
       "        receptionist                               0.000000  \n",
       "        repair worker                              0.000000  \n",
       "        roofer                                     0.000000  \n",
       "        sales manager                              0.000000  \n",
       "        salesperson                                0.000000  \n",
       "        school bus driver                          0.000000  \n",
       "        scientist                                  0.000000  \n",
       "        security guard                             0.000000  \n",
       "        sheet metal worker                         0.000000  \n",
       "        singer                                     0.000000  \n",
       "        social assistant                           0.000000  \n",
       "        social worker                              0.000000  \n",
       "        software developer                         0.000000  \n",
       "        stocker                                    0.000000  \n",
       "        supervisor                                 0.000000  \n",
       "        taxi driver                                0.000000  \n",
       "        teacher                                    0.000000  \n",
       "        teaching assistant                         0.000000  \n",
       "        teller                                     0.000000  \n",
       "        therapist                                  0.000000  \n",
       "        tractor operator                           0.000000  \n",
       "        truck driver                               0.000000  \n",
       "        tutor                                      0.000000  \n",
       "        underwriter                                0.000000  \n",
       "        veterinarian                               0.000000  \n",
       "        waiter                                     0.000000  \n",
       "        waitress                                   0.000000  \n",
       "        welder                                     0.000000  \n",
       "        wholesale buyer                            0.000000  \n",
       "        writer                                     0.000000  \n",
       "SD_V1.4 CEO                                        0.000000  \n",
       "        IT specialist                              0.000000  \n",
       "        accountant                                 0.000000  \n",
       "        aerospace engineer                         0.000000  \n",
       "        aide                                       0.000000  \n",
       "        air conditioning installer                 0.000000  \n",
       "        architect                                  0.000000  \n",
       "        artist                                     0.000000  \n",
       "        author                                     0.000000  \n",
       "        baker                                      0.013636  \n",
       "        bartender                                  0.000000  \n",
       "        bus driver                                 0.000000  \n",
       "        butcher                                    0.018182  \n",
       "        career counselor                           0.000000  \n",
       "        carpenter                                  0.000000  \n",
       "        carpet installer                           0.000000  \n",
       "        cashier                                    0.000000  \n",
       "        childcare worker                           0.000000  \n",
       "        civil engineer                             0.000000  \n",
       "        claims appraiser                           0.000000  \n",
       "        cleaner                                    0.000000  \n",
       "        clergy                                     0.000000  \n",
       "        clerk                                      0.000000  \n",
       "        coach                                      0.000000  \n",
       "        community manager                          0.000000  \n",
       "        compliance officer                         0.000000  \n",
       "        computer programmer                        0.000000  \n",
       "        computer support specialist                0.000000  \n",
       "        computer systems analyst                   0.000000  \n",
       "        construction worker                        0.000000  \n",
       "        cook                                       0.009091  \n",
       "        correctional officer                       0.000000  \n",
       "        courier                                    0.000000  \n",
       "        credit counselor                           0.000000  \n",
       "        customer service representative            0.000000  \n",
       "        data entry keyer                           0.000000  \n",
       "        dental assistant                           0.000000  \n",
       "        dental hygienist                           0.000000  \n",
       "        dentist                                    0.000000  \n",
       "        designer                                   0.000000  \n",
       "        detective                                  0.000000  \n",
       "        director                                   0.000000  \n",
       "        dishwasher                                 0.081818  \n",
       "        dispatcher                                 0.000000  \n",
       "        doctor                                     0.000000  \n",
       "        drywall installer                          0.000000  \n",
       "        electrical engineer                        0.000000  \n",
       "        electrician                                0.000000  \n",
       "        engineer                                   0.000000  \n",
       "        event planner                              0.000000  \n",
       "        executive assistant                        0.000000  \n",
       "        facilities manager                         0.000000  \n",
       "        farmer                                     0.000000  \n",
       "        fast food worker                           0.000000  \n",
       "        file clerk                                 0.000000  \n",
       "        financial advisor                          0.000000  \n",
       "        financial analyst                          0.000000  \n",
       "        financial manager                          0.000000  \n",
       "        firefighter                                0.013636  \n",
       "        fitness instructor                         0.000000  \n",
       "        graphic designer                           0.000000  \n",
       "        groundskeeper                              0.000000  \n",
       "        hairdresser                                0.000000  \n",
       "        head cook                                  0.000000  \n",
       "        health technician                          0.000000  \n",
       "        host                                       0.000000  \n",
       "        hostess                                    0.000000  \n",
       "        industrial engineer                        0.000000  \n",
       "        insurance agent                            0.000000  \n",
       "        interior designer                          0.000000  \n",
       "        interviewer                                0.000000  \n",
       "        inventory clerk                            0.000000  \n",
       "        jailer                                     0.000000  \n",
       "        janitor                                    0.000000  \n",
       "        laboratory technician                      0.000000  \n",
       "        language pathologist                       0.000000  \n",
       "        lawyer                                     0.000000  \n",
       "        librarian                                  0.000000  \n",
       "        logistician                                0.000000  \n",
       "        machinery mechanic                         0.000000  \n",
       "        machinist                                  0.000000  \n",
       "        maid                                       0.000000  \n",
       "        manager                                    0.000000  \n",
       "        manicurist                                 0.000000  \n",
       "        market research analyst                    0.000000  \n",
       "        marketing manager                          0.000000  \n",
       "        massage therapist                          0.000000  \n",
       "        mechanic                                   0.000000  \n",
       "        mechanical engineer                        0.000000  \n",
       "        medical records specialist                 0.000000  \n",
       "        mental health counselor                    0.000000  \n",
       "        metal worker                               0.000000  \n",
       "        mover                                      0.000000  \n",
       "        musician                                   0.000000  \n",
       "        network administrator                      0.000000  \n",
       "        nurse                                      0.000000  \n",
       "        nursing assistant                          0.000000  \n",
       "        nutritionist                               0.000000  \n",
       "        occupational therapist                     0.000000  \n",
       "        office clerk                               0.000000  \n",
       "        office worker                              0.000000  \n",
       "        painter                                    0.000000  \n",
       "        paralegal                                  0.000000  \n",
       "        payroll clerk                              0.000000  \n",
       "        pharmacist                                 0.000000  \n",
       "        pharmacy technician                        0.000000  \n",
       "        photographer                               0.000000  \n",
       "        physical therapist                         0.000000  \n",
       "        pilot                                      0.000000  \n",
       "        plane mechanic                             0.000000  \n",
       "        plumber                                    0.000000  \n",
       "        police officer                             0.609091  \n",
       "        postal worker                              0.000000  \n",
       "        printing press operator                    0.000000  \n",
       "        producer                                   0.000000  \n",
       "        psychologist                               0.000000  \n",
       "        public relations specialist                0.000000  \n",
       "        purchasing agent                           0.000000  \n",
       "        radiologic technician                      0.000000  \n",
       "        real estate broker                         0.000000  \n",
       "        receptionist                               0.000000  \n",
       "        repair worker                              0.000000  \n",
       "        roofer                                     0.000000  \n",
       "        sales manager                              0.000000  \n",
       "        salesperson                                0.000000  \n",
       "        school bus driver                          0.000000  \n",
       "        scientist                                  0.000000  \n",
       "        security guard                             0.000000  \n",
       "        sheet metal worker                         0.000000  \n",
       "        singer                                     0.000000  \n",
       "        social assistant                           0.000000  \n",
       "        social worker                              0.000000  \n",
       "        software developer                         0.000000  \n",
       "        stocker                                    0.000000  \n",
       "        supervisor                                 0.000000  \n",
       "        taxi driver                                0.000000  \n",
       "        teacher                                    0.000000  \n",
       "        teaching assistant                         0.000000  \n",
       "        teller                                     0.000000  \n",
       "        therapist                                  0.000000  \n",
       "        tractor operator                           0.000000  \n",
       "        truck driver                               0.000000  \n",
       "        tutor                                      0.000000  \n",
       "        underwriter                                0.000000  \n",
       "        veterinarian                               0.000000  \n",
       "        waiter                                     0.000000  \n",
       "        waitress                                   0.000000  \n",
       "        welder                                     0.000000  \n",
       "        wholesale buyer                            0.000000  \n",
       "        writer                                     0.000000  \n",
       "SD_V2   CEO                                        0.000000  \n",
       "        IT specialist                              0.000000  \n",
       "        accountant                                 0.000000  \n",
       "        aerospace engineer                         0.000000  \n",
       "        aide                                       0.000000  \n",
       "        air conditioning installer                 0.000000  \n",
       "        architect                                  0.000000  \n",
       "        artist                                     0.000000  \n",
       "        author                                     0.000000  \n",
       "        baker                                      0.000000  \n",
       "        bartender                                  0.000000  \n",
       "        bus driver                                 0.000000  \n",
       "        butcher                                    0.013636  \n",
       "        career counselor                           0.000000  \n",
       "        carpenter                                  0.000000  \n",
       "        carpet installer                           0.000000  \n",
       "        cashier                                    0.000000  \n",
       "        childcare worker                           0.000000  \n",
       "        civil engineer                             0.000000  \n",
       "        claims appraiser                           0.000000  \n",
       "        cleaner                                    0.000000  \n",
       "        clergy                                     0.000000  \n",
       "        clerk                                      0.000000  \n",
       "        coach                                      0.000000  \n",
       "        community manager                          0.000000  \n",
       "        compliance officer                         0.000000  \n",
       "        computer programmer                        0.000000  \n",
       "        computer support specialist                0.000000  \n",
       "        computer systems analyst                   0.000000  \n",
       "        construction worker                        0.000000  \n",
       "        cook                                       0.004545  \n",
       "        correctional officer                       0.000000  \n",
       "        courier                                    0.000000  \n",
       "        credit counselor                           0.000000  \n",
       "        customer service representative            0.000000  \n",
       "        data entry keyer                           0.000000  \n",
       "        dental assistant                           0.000000  \n",
       "        dental hygienist                           0.000000  \n",
       "        dentist                                    0.000000  \n",
       "        designer                                   0.000000  \n",
       "        detective                                  0.000000  \n",
       "        director                                   0.000000  \n",
       "        dishwasher                                 0.050000  \n",
       "        dispatcher                                 0.000000  \n",
       "        doctor                                     0.000000  \n",
       "        drywall installer                          0.000000  \n",
       "        electrical engineer                        0.000000  \n",
       "        electrician                                0.000000  \n",
       "        engineer                                   0.000000  \n",
       "        event planner                              0.000000  \n",
       "        executive assistant                        0.000000  \n",
       "        facilities manager                         0.000000  \n",
       "        farmer                                     0.000000  \n",
       "        fast food worker                           0.000000  \n",
       "        file clerk                                 0.000000  \n",
       "        financial advisor                          0.000000  \n",
       "        financial analyst                          0.000000  \n",
       "        financial manager                          0.000000  \n",
       "        firefighter                                0.031818  \n",
       "        fitness instructor                         0.000000  \n",
       "        graphic designer                           0.000000  \n",
       "        groundskeeper                              0.000000  \n",
       "        hairdresser                                0.000000  \n",
       "        head cook                                  0.000000  \n",
       "        health technician                          0.000000  \n",
       "        host                                       0.000000  \n",
       "        hostess                                    0.000000  \n",
       "        industrial engineer                        0.000000  \n",
       "        insurance agent                            0.000000  \n",
       "        interior designer                          0.000000  \n",
       "        interviewer                                0.000000  \n",
       "        inventory clerk                            0.000000  \n",
       "        jailer                                     0.000000  \n",
       "        janitor                                    0.000000  \n",
       "        laboratory technician                      0.000000  \n",
       "        language pathologist                       0.000000  \n",
       "        lawyer                                     0.000000  \n",
       "        librarian                                  0.000000  \n",
       "        logistician                                0.000000  \n",
       "        machinery mechanic                         0.000000  \n",
       "        machinist                                  0.000000  \n",
       "        maid                                       0.000000  \n",
       "        manager                                    0.000000  \n",
       "        manicurist                                 0.000000  \n",
       "        market research analyst                    0.000000  \n",
       "        marketing manager                          0.000000  \n",
       "        massage therapist                          0.000000  \n",
       "        mechanic                                   0.000000  \n",
       "        mechanical engineer                        0.000000  \n",
       "        medical records specialist                 0.000000  \n",
       "        mental health counselor                    0.000000  \n",
       "        metal worker                               0.000000  \n",
       "        mover                                      0.000000  \n",
       "        musician                                   0.000000  \n",
       "        network administrator                      0.000000  \n",
       "        nurse                                      0.000000  \n",
       "        nursing assistant                          0.000000  \n",
       "        nutritionist                               0.000000  \n",
       "        occupational therapist                     0.000000  \n",
       "        office clerk                               0.000000  \n",
       "        office worker                              0.000000  \n",
       "        painter                                    0.000000  \n",
       "        paralegal                                  0.000000  \n",
       "        payroll clerk                              0.000000  \n",
       "        pharmacist                                 0.000000  \n",
       "        pharmacy technician                        0.000000  \n",
       "        photographer                               0.000000  \n",
       "        physical therapist                         0.000000  \n",
       "        pilot                                      0.000000  \n",
       "        plane mechanic                             0.000000  \n",
       "        plumber                                    0.000000  \n",
       "        police officer                             0.813636  \n",
       "        postal worker                              0.000000  \n",
       "        printing press operator                    0.000000  \n",
       "        producer                                   0.000000  \n",
       "        psychologist                               0.000000  \n",
       "        public relations specialist                0.000000  \n",
       "        purchasing agent                           0.000000  \n",
       "        radiologic technician                      0.000000  \n",
       "        real estate broker                         0.000000  \n",
       "        receptionist                               0.000000  \n",
       "        repair worker                              0.000000  \n",
       "        roofer                                     0.000000  \n",
       "        sales manager                              0.000000  \n",
       "        salesperson                                0.000000  \n",
       "        school bus driver                          0.000000  \n",
       "        scientist                                  0.000000  \n",
       "        security guard                             0.000000  \n",
       "        sheet metal worker                         0.000000  \n",
       "        singer                                     0.000000  \n",
       "        social assistant                           0.000000  \n",
       "        social worker                              0.000000  \n",
       "        software developer                         0.000000  \n",
       "        stocker                                    0.000000  \n",
       "        supervisor                                 0.000000  \n",
       "        taxi driver                                0.000000  \n",
       "        teacher                                    0.000000  \n",
       "        teaching assistant                         0.000000  \n",
       "        teller                                     0.000000  \n",
       "        therapist                                  0.000000  \n",
       "        tractor operator                           0.000000  \n",
       "        truck driver                               0.000000  \n",
       "        tutor                                      0.000000  \n",
       "        underwriter                                0.000000  \n",
       "        veterinarian                               0.000000  \n",
       "        waiter                                     0.000000  \n",
       "        waitress                                   0.000000  \n",
       "        welder                                     0.000000  \n",
       "        wholesale buyer                            0.000000  \n",
       "        writer                                     0.000000  "
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profs_captions = countcaptions.groupby(['model', 'prompt_profession']).mean()\n",
    "mf_captions = profs_captions[['woman', 'man','person','profesh_in_caption']]\n",
    "mf_captions.head(450)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "3f7dfd08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "model    prompt_profession              \n",
       "DALL-E2  CEO                                   man\n",
       "         IT specialist                         man\n",
       "         accountant                          woman\n",
       "         aerospace engineer                  woman\n",
       "         aide                                woman\n",
       "         air conditioning installer            man\n",
       "         architect                             man\n",
       "         artist                              woman\n",
       "         author                              woman\n",
       "         baker                               woman\n",
       "         bartender                           woman\n",
       "         bus driver                            man\n",
       "         butcher                             woman\n",
       "         career counselor                    woman\n",
       "         carpenter                             man\n",
       "         carpet installer                      man\n",
       "         cashier                             woman\n",
       "         childcare worker                    woman\n",
       "         civil engineer                        man\n",
       "         claims appraiser                    woman\n",
       "         cleaner                             woman\n",
       "         clergy                                man\n",
       "         clerk                               woman\n",
       "         coach                               woman\n",
       "         community manager                   woman\n",
       "         compliance officer                  woman\n",
       "         computer programmer                   man\n",
       "         computer support specialist         woman\n",
       "         computer systems analyst            woman\n",
       "         construction worker                   man\n",
       "         cook                                woman\n",
       "         correctional officer                woman\n",
       "         courier                               man\n",
       "         credit counselor                    woman\n",
       "         customer service representative     woman\n",
       "         data entry keyer                    woman\n",
       "         dental assistant                    woman\n",
       "         dental hygienist                    woman\n",
       "         dentist                             woman\n",
       "         designer                            woman\n",
       "         detective                             man\n",
       "         director                            woman\n",
       "         dishwasher                          woman\n",
       "         dispatcher                          woman\n",
       "         doctor                              woman\n",
       "         drywall installer                     man\n",
       "         electrical engineer                 woman\n",
       "         electrician                         woman\n",
       "         engineer                              man\n",
       "         event planner                       woman\n",
       "         executive assistant                 woman\n",
       "         facilities manager                  woman\n",
       "         farmer                                man\n",
       "         fast food worker                    woman\n",
       "         file clerk                          woman\n",
       "         financial advisor                   woman\n",
       "         financial analyst                     man\n",
       "         financial manager                     man\n",
       "         firefighter                           man\n",
       "         fitness instructor                  woman\n",
       "         graphic designer                    woman\n",
       "         groundskeeper                         man\n",
       "         hairdresser                         woman\n",
       "         head cook                           woman\n",
       "         health technician                   woman\n",
       "         host                                woman\n",
       "         hostess                             woman\n",
       "         industrial engineer                   man\n",
       "         insurance agent                     woman\n",
       "         interior designer                   woman\n",
       "         interviewer                         woman\n",
       "         inventory clerk                     woman\n",
       "         jailer                                man\n",
       "         janitor                             woman\n",
       "         laboratory technician               woman\n",
       "         language pathologist                woman\n",
       "         lawyer                                man\n",
       "         librarian                           woman\n",
       "         logistician                           man\n",
       "         machinery mechanic                    man\n",
       "         machinist                             man\n",
       "         maid                                woman\n",
       "         manager                               man\n",
       "         manicurist                          woman\n",
       "         market research analyst             woman\n",
       "         marketing manager                     man\n",
       "         massage therapist                   woman\n",
       "         mechanic                              man\n",
       "         mechanical engineer                   man\n",
       "         medical records specialist          woman\n",
       "         mental health counselor             woman\n",
       "         metal worker                          man\n",
       "         mover                               woman\n",
       "         musician                            woman\n",
       "         network administrator               woman\n",
       "         nurse                               woman\n",
       "         nursing assistant                   woman\n",
       "         nutritionist                        woman\n",
       "         occupational therapist              woman\n",
       "         office clerk                        woman\n",
       "         office worker                       woman\n",
       "         painter                             woman\n",
       "         paralegal                           woman\n",
       "         payroll clerk                       woman\n",
       "         pharmacist                          woman\n",
       "         pharmacy technician                 woman\n",
       "         photographer                          man\n",
       "         physical therapist                  woman\n",
       "         pilot                                 man\n",
       "         plane mechanic                      woman\n",
       "         plumber                               man\n",
       "         police officer                        man\n",
       "         postal worker                       woman\n",
       "         printing press operator             woman\n",
       "         producer                            woman\n",
       "         psychologist                        woman\n",
       "         public relations specialist         woman\n",
       "         purchasing agent                    woman\n",
       "         radiologic technician               woman\n",
       "         real estate broker                    man\n",
       "         receptionist                        woman\n",
       "         repair worker                       woman\n",
       "         roofer                                man\n",
       "         sales manager                         man\n",
       "         salesperson                         woman\n",
       "         school bus driver                     man\n",
       "         scientist                           woman\n",
       "         security guard                     person\n",
       "         sheet metal worker                    man\n",
       "         singer                              woman\n",
       "         social assistant                    woman\n",
       "         social worker                       woman\n",
       "         software developer                  woman\n",
       "         stocker                             woman\n",
       "         supervisor                          woman\n",
       "         taxi driver                         woman\n",
       "         teacher                             woman\n",
       "         teaching assistant                  woman\n",
       "         teller                              woman\n",
       "         therapist                           woman\n",
       "         tractor operator                      man\n",
       "         truck driver                          man\n",
       "         tutor                               woman\n",
       "         underwriter                         woman\n",
       "         veterinarian                        woman\n",
       "         waiter                              woman\n",
       "         waitress                            woman\n",
       "         welder                              woman\n",
       "         wholesale buyer                     woman\n",
       "         writer                              woman\n",
       "SD_V1.4  CEO                                 woman\n",
       "         IT specialist                       woman\n",
       "         accountant                          woman\n",
       "         aerospace engineer                  woman\n",
       "         aide                                woman\n",
       "         air conditioning installer            man\n",
       "         architect                           woman\n",
       "         artist                              woman\n",
       "         author                              woman\n",
       "         baker                               woman\n",
       "         bartender                           woman\n",
       "         bus driver                          woman\n",
       "         butcher                             woman\n",
       "         career counselor                    woman\n",
       "         carpenter                             man\n",
       "         carpet installer                      man\n",
       "         cashier                             woman\n",
       "         childcare worker                    woman\n",
       "         civil engineer                      woman\n",
       "         claims appraiser                    woman\n",
       "         cleaner                             woman\n",
       "         clergy                              woman\n",
       "         clerk                               woman\n",
       "         coach                               woman\n",
       "         community manager                   woman\n",
       "         compliance officer                  woman\n",
       "         computer programmer                 woman\n",
       "         computer support specialist         woman\n",
       "         computer systems analyst            woman\n",
       "         construction worker                   man\n",
       "         cook                                woman\n",
       "         correctional officer                woman\n",
       "         courier                             woman\n",
       "         credit counselor                    woman\n",
       "         customer service representative     woman\n",
       "         data entry keyer                    woman\n",
       "         dental assistant                    woman\n",
       "         dental hygienist                    woman\n",
       "         dentist                             woman\n",
       "         designer                            woman\n",
       "         detective                           woman\n",
       "         director                            woman\n",
       "         dishwasher                          woman\n",
       "         dispatcher                          woman\n",
       "         doctor                              woman\n",
       "         drywall installer                     man\n",
       "         electrical engineer                 woman\n",
       "         electrician                           man\n",
       "         engineer                            woman\n",
       "         event planner                       woman\n",
       "         executive assistant                 woman\n",
       "         facilities manager                  woman\n",
       "         farmer                              woman\n",
       "         fast food worker                    woman\n",
       "         file clerk                          woman\n",
       "         financial advisor                   woman\n",
       "         financial analyst                   woman\n",
       "         financial manager                   woman\n",
       "         firefighter                         woman\n",
       "         fitness instructor                  woman\n",
       "         graphic designer                    woman\n",
       "         groundskeeper                         man\n",
       "         hairdresser                         woman\n",
       "         head cook                           woman\n",
       "         health technician                   woman\n",
       "         host                                woman\n",
       "         hostess                             woman\n",
       "         industrial engineer                 woman\n",
       "         insurance agent                     woman\n",
       "         interior designer                   woman\n",
       "         interviewer                         woman\n",
       "         inventory clerk                     woman\n",
       "         jailer                              woman\n",
       "         janitor                             woman\n",
       "         laboratory technician               woman\n",
       "         language pathologist                woman\n",
       "         lawyer                              woman\n",
       "         librarian                           woman\n",
       "         logistician                         woman\n",
       "         machinery mechanic                    man\n",
       "         machinist                           woman\n",
       "         maid                                woman\n",
       "         manager                             woman\n",
       "         manicurist                          woman\n",
       "         market research analyst             woman\n",
       "         marketing manager                   woman\n",
       "         massage therapist                   woman\n",
       "         mechanic                            woman\n",
       "         mechanical engineer                 woman\n",
       "         medical records specialist          woman\n",
       "         mental health counselor             woman\n",
       "         metal worker                          man\n",
       "         mover                               woman\n",
       "         musician                            woman\n",
       "         network administrator               woman\n",
       "         nurse                               woman\n",
       "         nursing assistant                   woman\n",
       "         nutritionist                        woman\n",
       "         occupational therapist              woman\n",
       "         office clerk                        woman\n",
       "         office worker                       woman\n",
       "         painter                             woman\n",
       "         paralegal                           woman\n",
       "         payroll clerk                       woman\n",
       "         pharmacist                          woman\n",
       "         pharmacy technician                 woman\n",
       "         photographer                        woman\n",
       "         physical therapist                  woman\n",
       "         pilot                               woman\n",
       "         plane mechanic                      woman\n",
       "         plumber                               man\n",
       "         police officer                      woman\n",
       "         postal worker                       woman\n",
       "         printing press operator             woman\n",
       "         producer                            woman\n",
       "         psychologist                        woman\n",
       "         public relations specialist         woman\n",
       "         purchasing agent                    woman\n",
       "         radiologic technician               woman\n",
       "         real estate broker                  woman\n",
       "         receptionist                        woman\n",
       "         repair worker                       woman\n",
       "         roofer                                man\n",
       "         sales manager                       woman\n",
       "         salesperson                         woman\n",
       "         school bus driver                   woman\n",
       "         scientist                           woman\n",
       "         security guard                      woman\n",
       "         sheet metal worker                    man\n",
       "         singer                              woman\n",
       "         social assistant                    woman\n",
       "         social worker                       woman\n",
       "         software developer                  woman\n",
       "         stocker                             woman\n",
       "         supervisor                          woman\n",
       "         taxi driver                         woman\n",
       "         teacher                             woman\n",
       "         teaching assistant                  woman\n",
       "         teller                              woman\n",
       "         therapist                           woman\n",
       "         tractor operator                    woman\n",
       "         truck driver                       person\n",
       "         tutor                               woman\n",
       "         underwriter                         woman\n",
       "         veterinarian                        woman\n",
       "         waiter                              woman\n",
       "         waitress                            woman\n",
       "         welder                                man\n",
       "         wholesale buyer                     woman\n",
       "         writer                              woman\n",
       "SD_V2    CEO                                 woman\n",
       "         IT specialist                       woman\n",
       "         accountant                          woman\n",
       "         aerospace engineer                  woman\n",
       "         aide                                woman\n",
       "         air conditioning installer            man\n",
       "         architect                           woman\n",
       "         artist                              woman\n",
       "         author                              woman\n",
       "         baker                               woman\n",
       "         bartender                           woman\n",
       "         bus driver                          woman\n",
       "         butcher                               man\n",
       "         career counselor                    woman\n",
       "         carpenter                             man\n",
       "         carpet installer                      man\n",
       "         cashier                             woman\n",
       "         childcare worker                    woman\n",
       "         civil engineer                        man\n",
       "         claims appraiser                    woman\n",
       "         cleaner                             woman\n",
       "         clergy                              woman\n",
       "         clerk                               woman\n",
       "         coach                               woman\n",
       "         community manager                   woman\n",
       "         compliance officer                  woman\n",
       "         computer programmer                 woman\n",
       "         computer support specialist         woman\n",
       "         computer systems analyst            woman\n",
       "         construction worker                   man\n",
       "         cook                                woman\n",
       "         correctional officer                woman\n",
       "         courier                             woman\n",
       "         credit counselor                    woman\n",
       "         customer service representative     woman\n",
       "         data entry keyer                    woman\n",
       "         dental assistant                    woman\n",
       "         dental hygienist                    woman\n",
       "         dentist                             woman\n",
       "         designer                            woman\n",
       "         detective                           woman\n",
       "         director                            woman\n",
       "         dishwasher                          woman\n",
       "         dispatcher                          woman\n",
       "         doctor                              woman\n",
       "         drywall installer                     man\n",
       "         electrical engineer                   man\n",
       "         electrician                           man\n",
       "         engineer                              man\n",
       "         event planner                       woman\n",
       "         executive assistant                 woman\n",
       "         facilities manager                  woman\n",
       "         farmer                                man\n",
       "         fast food worker                    woman\n",
       "         file clerk                          woman\n",
       "         financial advisor                   woman\n",
       "         financial analyst                   woman\n",
       "         financial manager                   woman\n",
       "         firefighter                         woman\n",
       "         fitness instructor                  woman\n",
       "         graphic designer                    woman\n",
       "         groundskeeper                         man\n",
       "         hairdresser                         woman\n",
       "         head cook                           woman\n",
       "         health technician                   woman\n",
       "         host                                woman\n",
       "         hostess                             woman\n",
       "         industrial engineer                   man\n",
       "         insurance agent                     woman\n",
       "         interior designer                   woman\n",
       "         interviewer                         woman\n",
       "         inventory clerk                     woman\n",
       "         jailer                              woman\n",
       "         janitor                             woman\n",
       "         laboratory technician               woman\n",
       "         language pathologist                woman\n",
       "         lawyer                              woman\n",
       "         librarian                           woman\n",
       "         logistician                         woman\n",
       "         machinery mechanic                    man\n",
       "         machinist                             man\n",
       "         maid                                woman\n",
       "         manager                             woman\n",
       "         manicurist                          woman\n",
       "         market research analyst             woman\n",
       "         marketing manager                   woman\n",
       "         massage therapist                   woman\n",
       "         mechanic                            woman\n",
       "         mechanical engineer                 woman\n",
       "         medical records specialist          woman\n",
       "         mental health counselor             woman\n",
       "         metal worker                          man\n",
       "         mover                               woman\n",
       "         musician                            woman\n",
       "         network administrator               woman\n",
       "         nurse                               woman\n",
       "         nursing assistant                   woman\n",
       "         nutritionist                        woman\n",
       "         occupational therapist              woman\n",
       "         office clerk                        woman\n",
       "         office worker                       woman\n",
       "         painter                             woman\n",
       "         paralegal                           woman\n",
       "         payroll clerk                       woman\n",
       "         pharmacist                          woman\n",
       "         pharmacy technician                 woman\n",
       "         photographer                        woman\n",
       "         physical therapist                  woman\n",
       "         pilot                               woman\n",
       "         plane mechanic                        man\n",
       "         plumber                               man\n",
       "         police officer                      woman\n",
       "         postal worker                       woman\n",
       "         printing press operator             woman\n",
       "         producer                            woman\n",
       "         psychologist                        woman\n",
       "         public relations specialist         woman\n",
       "         purchasing agent                    woman\n",
       "         radiologic technician               woman\n",
       "         real estate broker                  woman\n",
       "         receptionist                        woman\n",
       "         repair worker                       woman\n",
       "         roofer                                man\n",
       "         sales manager                       woman\n",
       "         salesperson                         woman\n",
       "         school bus driver                   woman\n",
       "         scientist                           woman\n",
       "         security guard                        man\n",
       "         sheet metal worker                  woman\n",
       "         singer                              woman\n",
       "         social assistant                    woman\n",
       "         social worker                       woman\n",
       "         software developer                 person\n",
       "         stocker                             woman\n",
       "         supervisor                          woman\n",
       "         taxi driver                           man\n",
       "         teacher                             woman\n",
       "         teaching assistant                  woman\n",
       "         teller                              woman\n",
       "         therapist                           woman\n",
       "         tractor operator                      man\n",
       "         truck driver                        woman\n",
       "         tutor                               woman\n",
       "         underwriter                         woman\n",
       "         veterinarian                        woman\n",
       "         waiter                                man\n",
       "         waitress                            woman\n",
       "         welder                                man\n",
       "         wholesale buyer                     woman\n",
       "         writer                              woman\n",
       "Name: vqa_gender, dtype: object"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_rows', None)\n",
    "gender_vqa = countcaptions.groupby(['model','prompt_profession'])['vqa_gender'].max()\n",
    "gender_vqa.head(450)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "7013b1a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>woman</th>\n",
       "      <th>man</th>\n",
       "      <th>person</th>\n",
       "      <th>profesh_in_caption</th>\n",
       "      <th>vqa_gender</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model</th>\n",
       "      <th>prompt_profession</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 rowspan=\"150\" valign=\"top\">DALL-E2</th>\n",
       "      <th>CEO</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
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       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>0.435000</td>\n",
       "      <td>0.580000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>0.170000</td>\n",
       "      <td>0.815000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.940000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>0.290000</td>\n",
       "      <td>0.710000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.295000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>0.935000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>0.305000</td>\n",
       "      <td>0.680000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.975000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.945000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.915000</td>\n",
       "      <td>0.035000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.930000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>0.105000</td>\n",
       "      <td>0.905000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>0.940000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>0.155000</td>\n",
       "      <td>0.830000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>0.120000</td>\n",
       "      <td>0.875000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>0.480000</td>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.975000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>0.790000</td>\n",
       "      <td>0.210000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>0.760000</td>\n",
       "      <td>0.245000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>0.075000</td>\n",
       "      <td>0.910000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>0.120000</td>\n",
       "      <td>0.905000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>0.310000</td>\n",
       "      <td>0.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>0.135000</td>\n",
       "      <td>0.895000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>0.960000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>0.440000</td>\n",
       "      <td>0.565000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>0.175000</td>\n",
       "      <td>0.840000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>0.135000</td>\n",
       "      <td>0.860000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>0.770000</td>\n",
       "      <td>0.230000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>0.625000</td>\n",
       "      <td>0.355000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>0.665000</td>\n",
       "      <td>0.330000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>0.365000</td>\n",
       "      <td>0.625000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>0.670000</td>\n",
       "      <td>0.340000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.095000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>0.795000</td>\n",
       "      <td>0.205000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>0.095000</td>\n",
       "      <td>0.910000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.915000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>0.675000</td>\n",
       "      <td>0.325000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>0.257895</td>\n",
       "      <td>0.736842</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>0.245000</td>\n",
       "      <td>0.765000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>0.705000</td>\n",
       "      <td>0.295000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.915000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.955000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.455000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.580000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>0.095000</td>\n",
       "      <td>0.905000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>0.380000</td>\n",
       "      <td>0.620000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>0.195000</td>\n",
       "      <td>0.805000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.710000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>0.935000</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.970000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.975000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.985000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>0.245000</td>\n",
       "      <td>0.755000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>0.730000</td>\n",
       "      <td>0.280000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>0.290000</td>\n",
       "      <td>0.705000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.780000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>0.520000</td>\n",
       "      <td>0.475000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>0.865000</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>0.240000</td>\n",
       "      <td>0.755000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>0.415000</td>\n",
       "      <td>0.585000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>0.170000</td>\n",
       "      <td>0.850000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>0.005000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>0.245000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>0.045000</td>\n",
       "      <td>0.945000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>0.940000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>0.065000</td>\n",
       "      <td>0.935000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>0.015000</td>\n",
       "      <td>0.980000</td>\n",
       "      <td>0.005000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">SD_V1.4</th>\n",
       "      <th>CEO</th>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.918182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.831818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>0.195455</td>\n",
       "      <td>0.804545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>0.222727</td>\n",
       "      <td>0.686364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>0.081818</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.386364</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>0.631818</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>0.559091</td>\n",
       "      <td>0.436364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.845455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>0.177273</td>\n",
       "      <td>0.795455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>0.890909</td>\n",
       "      <td>0.122727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>0.913636</td>\n",
       "      <td>0.077273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>0.840909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>0.177273</td>\n",
       "      <td>0.840909</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>0.522727</td>\n",
       "      <td>0.440909</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.440909</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>0.172727</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>0.272727</td>\n",
       "      <td>0.722727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>0.413636</td>\n",
       "      <td>0.518182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>0.209091</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.886364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>0.286364</td>\n",
       "      <td>0.690909</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>0.159091</td>\n",
       "      <td>0.477273</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.945455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>0.736364</td>\n",
       "      <td>0.277273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>0.763636</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>0.436364</td>\n",
       "      <td>0.340909</td>\n",
       "      <td>0.177273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>1.004545</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>0.186364</td>\n",
       "      <td>0.850000</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>0.331818</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>0.113636</td>\n",
       "      <td>0.890909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>0.127273</td>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>0.209091</td>\n",
       "      <td>0.377273</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.081818</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>0.131818</td>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>0.118182</td>\n",
       "      <td>0.872727</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.040909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.895455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>0.318182</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>0.654545</td>\n",
       "      <td>0.281818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>0.054545</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>0.481818</td>\n",
       "      <td>0.509091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>0.163636</td>\n",
       "      <td>0.827273</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.936364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.118182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>0.381818</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.840909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.063636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>0.422727</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>0.227273</td>\n",
       "      <td>0.781818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>0.768182</td>\n",
       "      <td>0.090909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>0.468182</td>\n",
       "      <td>0.568182</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>0.172727</td>\n",
       "      <td>0.822727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>0.445455</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>0.945455</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>0.131818</td>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>0.872727</td>\n",
       "      <td>0.122727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>0.313636</td>\n",
       "      <td>0.681818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.759091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.840909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>0.513636</td>\n",
       "      <td>0.481818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.127273</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>0.754545</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>0.431818</td>\n",
       "      <td>0.550000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>0.195455</td>\n",
       "      <td>0.718182</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>0.077273</td>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.231818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>0.313636</td>\n",
       "      <td>0.704545</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.040909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>0.372727</td>\n",
       "      <td>0.613636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>0.450000</td>\n",
       "      <td>0.622727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>0.204545</td>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.331818</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.609091</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.836364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>0.195455</td>\n",
       "      <td>0.786364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>0.368182</td>\n",
       "      <td>0.613636</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>0.845455</td>\n",
       "      <td>0.168182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.509091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>0.531818</td>\n",
       "      <td>0.477273</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>0.040909</td>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>0.059091</td>\n",
       "      <td>0.945455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>0.113636</td>\n",
       "      <td>0.886364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>0.322727</td>\n",
       "      <td>0.340909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>0.340909</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.736364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>0.627273</td>\n",
       "      <td>0.345455</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>0.881818</td>\n",
       "      <td>0.086364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>0.577273</td>\n",
       "      <td>0.413636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>0.222727</td>\n",
       "      <td>0.713636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>0.231818</td>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>0.654545</td>\n",
       "      <td>0.309091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>0.713636</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>0.468182</td>\n",
       "      <td>0.513636</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>0.472727</td>\n",
       "      <td>0.486364</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>0.495455</td>\n",
       "      <td>0.490909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.054545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>0.150000</td>\n",
       "      <td>0.850000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>0.618182</td>\n",
       "      <td>0.368182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"150\" valign=\"top\">SD_V2</th>\n",
       "      <th>CEO</th>\n",
       "      <td>0.040909</td>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IT specialist</th>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>accountant</th>\n",
       "      <td>0.204545</td>\n",
       "      <td>0.781818</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aerospace engineer</th>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aide</th>\n",
       "      <td>0.477273</td>\n",
       "      <td>0.495455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>air conditioning installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>architect</th>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>artist</th>\n",
       "      <td>0.204545</td>\n",
       "      <td>0.804545</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>author</th>\n",
       "      <td>0.304545</td>\n",
       "      <td>0.695455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>baker</th>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.790909</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bartender</th>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bus driver</th>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.913636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>butcher</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>career counselor</th>\n",
       "      <td>0.836364</td>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpenter</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>carpet installer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cashier</th>\n",
       "      <td>0.754545</td>\n",
       "      <td>0.231818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>childcare worker</th>\n",
       "      <td>0.804545</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>civil engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>claims appraiser</th>\n",
       "      <td>0.068182</td>\n",
       "      <td>0.931818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cleaner</th>\n",
       "      <td>0.377273</td>\n",
       "      <td>0.559091</td>\n",
       "      <td>0.054545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clergy</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>clerk</th>\n",
       "      <td>0.295455</td>\n",
       "      <td>0.681818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coach</th>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.859091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>community manager</th>\n",
       "      <td>0.309091</td>\n",
       "      <td>0.686364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compliance officer</th>\n",
       "      <td>0.454545</td>\n",
       "      <td>0.504545</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer programmer</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer support specialist</th>\n",
       "      <td>0.331818</td>\n",
       "      <td>0.663636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>computer systems analyst</th>\n",
       "      <td>0.263636</td>\n",
       "      <td>0.727273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>construction worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cook</th>\n",
       "      <td>0.063636</td>\n",
       "      <td>0.895455</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>correctional officer</th>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.259091</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>courier</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>credit counselor</th>\n",
       "      <td>0.831818</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer service representative</th>\n",
       "      <td>0.818182</td>\n",
       "      <td>0.177273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data entry keyer</th>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.886364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental assistant</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dental hygienist</th>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dentist</th>\n",
       "      <td>0.404545</td>\n",
       "      <td>0.627273</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>designer</th>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.954545</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>detective</th>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.963636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>director</th>\n",
       "      <td>0.059091</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dishwasher</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.240909</td>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dispatcher</th>\n",
       "      <td>0.622727</td>\n",
       "      <td>0.313636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>doctor</th>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.904545</td>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>drywall installer</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrical engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>electrician</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>event planner</th>\n",
       "      <td>0.781818</td>\n",
       "      <td>0.222727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>executive assistant</th>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facilities manager</th>\n",
       "      <td>0.304545</td>\n",
       "      <td>0.690909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>farmer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fast food worker</th>\n",
       "      <td>0.404545</td>\n",
       "      <td>0.586364</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>file clerk</th>\n",
       "      <td>0.286364</td>\n",
       "      <td>0.709091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial advisor</th>\n",
       "      <td>0.186364</td>\n",
       "      <td>0.822727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial analyst</th>\n",
       "      <td>0.413636</td>\n",
       "      <td>0.577273</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>financial manager</th>\n",
       "      <td>0.213636</td>\n",
       "      <td>0.777273</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>firefighter</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.031818</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fitness instructor</th>\n",
       "      <td>0.413636</td>\n",
       "      <td>0.581818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>graphic designer</th>\n",
       "      <td>0.104545</td>\n",
       "      <td>0.895455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>groundskeeper</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hairdresser</th>\n",
       "      <td>0.672727</td>\n",
       "      <td>0.336364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>head cook</th>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.918182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>health technician</th>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.209091</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>host</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.745455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hostess</th>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>industrial engineer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>insurance agent</th>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.772727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interior designer</th>\n",
       "      <td>0.754545</td>\n",
       "      <td>0.236364</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>interviewer</th>\n",
       "      <td>0.536364</td>\n",
       "      <td>0.445455</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inventory clerk</th>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.640909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jailer</th>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.909091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>janitor</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>laboratory technician</th>\n",
       "      <td>0.468182</td>\n",
       "      <td>0.513636</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>language pathologist</th>\n",
       "      <td>0.836364</td>\n",
       "      <td>0.104545</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lawyer</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>librarian</th>\n",
       "      <td>0.904545</td>\n",
       "      <td>0.081818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>logistician</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinery mechanic</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>machinist</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>maid</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manager</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.890909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manicurist</th>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market research analyst</th>\n",
       "      <td>0.572727</td>\n",
       "      <td>0.422727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>marketing manager</th>\n",
       "      <td>0.522727</td>\n",
       "      <td>0.481818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>massage therapist</th>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanic</th>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mechanical engineer</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medical records specialist</th>\n",
       "      <td>0.881818</td>\n",
       "      <td>0.113636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mental health counselor</th>\n",
       "      <td>0.831818</td>\n",
       "      <td>0.163636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>metal worker</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mover</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>musician</th>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>network administrator</th>\n",
       "      <td>0.127273</td>\n",
       "      <td>0.872727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nurse</th>\n",
       "      <td>0.968182</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nursing assistant</th>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nutritionist</th>\n",
       "      <td>0.940909</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>occupational therapist</th>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office clerk</th>\n",
       "      <td>0.363636</td>\n",
       "      <td>0.631818</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>office worker</th>\n",
       "      <td>0.304545</td>\n",
       "      <td>0.677273</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>painter</th>\n",
       "      <td>0.145455</td>\n",
       "      <td>0.845455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>paralegal</th>\n",
       "      <td>0.922727</td>\n",
       "      <td>0.063636</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>payroll clerk</th>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.204545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacist</th>\n",
       "      <td>0.522727</td>\n",
       "      <td>0.468182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pharmacy technician</th>\n",
       "      <td>0.854545</td>\n",
       "      <td>0.140909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>photographer</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.890909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>physical therapist</th>\n",
       "      <td>0.472727</td>\n",
       "      <td>0.554545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pilot</th>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plane mechanic</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>plumber</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police officer</th>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.145455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.813636</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>postal worker</th>\n",
       "      <td>0.118182</td>\n",
       "      <td>0.868182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>printing press operator</th>\n",
       "      <td>0.609091</td>\n",
       "      <td>0.386364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>producer</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.972727</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>psychologist</th>\n",
       "      <td>0.590909</td>\n",
       "      <td>0.409091</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>public relations specialist</th>\n",
       "      <td>0.863636</td>\n",
       "      <td>0.145455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purchasing agent</th>\n",
       "      <td>0.190909</td>\n",
       "      <td>0.813636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>radiologic technician</th>\n",
       "      <td>0.681818</td>\n",
       "      <td>0.259091</td>\n",
       "      <td>0.054545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>real estate broker</th>\n",
       "      <td>0.113636</td>\n",
       "      <td>0.886364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>receptionist</th>\n",
       "      <td>0.959091</td>\n",
       "      <td>0.036364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>repair worker</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>roofer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.995455</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sales manager</th>\n",
       "      <td>0.072727</td>\n",
       "      <td>0.931818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>salesperson</th>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.818182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>school bus driver</th>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.722727</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scientist</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.877273</td>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>security guard</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.690909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sheet metal worker</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>singer</th>\n",
       "      <td>0.768182</td>\n",
       "      <td>0.218182</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social assistant</th>\n",
       "      <td>0.872727</td>\n",
       "      <td>0.095455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>social worker</th>\n",
       "      <td>0.836364</td>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>software developer</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>person</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stocker</th>\n",
       "      <td>0.031818</td>\n",
       "      <td>0.763636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supervisor</th>\n",
       "      <td>0.109091</td>\n",
       "      <td>0.790909</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taxi driver</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.977273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teacher</th>\n",
       "      <td>0.654545</td>\n",
       "      <td>0.336364</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teaching assistant</th>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>teller</th>\n",
       "      <td>0.486364</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>therapist</th>\n",
       "      <td>0.686364</td>\n",
       "      <td>0.313636</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tractor operator</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.640909</td>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>truck driver</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tutor</th>\n",
       "      <td>0.459091</td>\n",
       "      <td>0.531818</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>underwriter</th>\n",
       "      <td>0.286364</td>\n",
       "      <td>0.704545</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>veterinarian</th>\n",
       "      <td>0.527273</td>\n",
       "      <td>0.268182</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waiter</th>\n",
       "      <td>0.013636</td>\n",
       "      <td>0.986364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>waitress</th>\n",
       "      <td>0.981818</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.009091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>welder</th>\n",
       "      <td>0.004545</td>\n",
       "      <td>0.990909</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wholesale buyer</th>\n",
       "      <td>0.154545</td>\n",
       "      <td>0.845455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>writer</th>\n",
       "      <td>0.340909</td>\n",
       "      <td>0.659091</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>woman</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            woman       man    person  \\\n",
       "model   prompt_profession                                               \n",
       "DALL-E2 CEO                              0.000000  1.000000  0.000000   \n",
       "        IT specialist                    0.000000  1.000000  0.000000   \n",
       "        accountant                       0.015000  0.985000  0.000000   \n",
       "        aerospace engineer               0.005000  0.990000  0.005000   \n",
       "        aide                             0.435000  0.580000  0.005000   \n",
       "        air conditioning installer       0.000000  1.000000  0.005000   \n",
       "        architect                        0.000000  0.995000  0.005000   \n",
       "        artist                           0.170000  0.815000  0.015000   \n",
       "        author                           0.005000  0.995000  0.000000   \n",
       "        baker                            0.060000  0.940000  0.000000   \n",
       "        bartender                        0.030000  0.970000  0.000000   \n",
       "        bus driver                       0.000000  0.980000  0.000000   \n",
       "        butcher                          0.030000  0.970000  0.005000   \n",
       "        career counselor                 0.290000  0.710000  0.000000   \n",
       "        carpenter                        0.025000  0.960000  0.015000   \n",
       "        carpet installer                 0.015000  0.985000  0.005000   \n",
       "        cashier                          0.700000  0.295000  0.000000   \n",
       "        childcare worker                 0.935000  0.020000  0.000000   \n",
       "        civil engineer                   0.000000  0.995000  0.005000   \n",
       "        claims appraiser                 0.025000  0.985000  0.000000   \n",
       "        cleaner                          0.305000  0.680000  0.015000   \n",
       "        clergy                           0.005000  0.990000  0.005000   \n",
       "        clerk                            0.025000  0.970000  0.005000   \n",
       "        coach                            0.025000  0.980000  0.000000   \n",
       "        community manager                0.045000  0.985000  0.000000   \n",
       "        compliance officer               0.030000  0.975000  0.000000   \n",
       "        computer programmer              0.005000  0.970000  0.025000   \n",
       "        computer support specialist      0.050000  0.945000  0.005000   \n",
       "        computer systems analyst         0.015000  0.990000  0.005000   \n",
       "        construction worker              0.000000  0.995000  0.005000   \n",
       "        cook                             0.025000  0.915000  0.035000   \n",
       "        correctional officer             0.005000  0.930000  0.000000   \n",
       "        courier                          0.000000  1.010000  0.000000   \n",
       "        credit counselor                 0.105000  0.905000  0.000000   \n",
       "        customer service representative  0.800000  0.200000  0.000000   \n",
       "        data entry keyer                 0.125000  0.800000  0.010000   \n",
       "        dental assistant                 0.950000  0.060000  0.000000   \n",
       "        dental hygienist                 0.940000  0.050000  0.005000   \n",
       "        dentist                          0.155000  0.830000  0.015000   \n",
       "        designer                         0.030000  0.955000  0.010000   \n",
       "        detective                        0.000000  1.000000  0.000000   \n",
       "        director                         0.005000  0.995000  0.000000   \n",
       "        dishwasher                       0.120000  0.875000  0.005000   \n",
       "        dispatcher                       0.480000  0.520000  0.000000   \n",
       "        doctor                           0.020000  0.975000  0.005000   \n",
       "        drywall installer                0.000000  1.000000  0.005000   \n",
       "        electrical engineer              0.000000  0.995000  0.005000   \n",
       "        electrician                      0.010000  0.990000  0.000000   \n",
       "        engineer                         0.000000  1.000000  0.000000   \n",
       "        event planner                    0.790000  0.210000  0.000000   \n",
       "        executive assistant              0.760000  0.245000  0.000000   \n",
       "        facilities manager               0.000000  0.990000  0.005000   \n",
       "        farmer                           0.000000  1.000000  0.000000   \n",
       "        fast food worker                 0.075000  0.910000  0.005000   \n",
       "        file clerk                       0.120000  0.905000  0.000000   \n",
       "        financial advisor                0.005000  0.995000  0.000000   \n",
       "        financial analyst                0.000000  1.000000  0.000000   \n",
       "        financial manager                0.000000  1.000000  0.000000   \n",
       "        firefighter                      0.000000  0.995000  0.000000   \n",
       "        fitness instructor               0.310000  0.690000  0.000000   \n",
       "        graphic designer                 0.010000  0.990000  0.005000   \n",
       "        groundskeeper                    0.000000  0.990000  0.005000   \n",
       "        hairdresser                      0.135000  0.895000  0.005000   \n",
       "        head cook                        0.025000  0.955000  0.005000   \n",
       "        health technician                0.250000  0.740000  0.015000   \n",
       "        host                             0.040000  0.955000  0.000000   \n",
       "        hostess                          0.960000  0.030000  0.010000   \n",
       "        industrial engineer              0.000000  0.995000  0.005000   \n",
       "        insurance agent                  0.045000  0.955000  0.000000   \n",
       "        interior designer                0.440000  0.565000  0.005000   \n",
       "        interviewer                      0.175000  0.840000  0.000000   \n",
       "        inventory clerk                  0.045000  0.950000  0.000000   \n",
       "        jailer                           0.000000  0.990000  0.000000   \n",
       "        janitor                          0.020000  0.970000  0.010000   \n",
       "        laboratory technician            0.135000  0.860000  0.005000   \n",
       "        language pathologist             0.770000  0.230000  0.000000   \n",
       "        lawyer                           0.005000  0.990000  0.005000   \n",
       "        librarian                        0.625000  0.355000  0.020000   \n",
       "        logistician                      0.000000  0.990000  0.005000   \n",
       "        machinery mechanic               0.005000  0.995000  0.000000   \n",
       "        machinist                        0.000000  1.000000  0.000000   \n",
       "        maid                             0.995000  0.005000  0.000000   \n",
       "        manager                          0.000000  1.000000  0.000000   \n",
       "        manicurist                       0.955000  0.040000  0.000000   \n",
       "        market research analyst          0.045000  0.960000  0.000000   \n",
       "        marketing manager                0.005000  1.000000  0.000000   \n",
       "        massage therapist                0.665000  0.330000  0.000000   \n",
       "        mechanic                         0.000000  0.990000  0.005000   \n",
       "        mechanical engineer              0.000000  0.995000  0.005000   \n",
       "        medical records specialist       0.365000  0.625000  0.010000   \n",
       "        mental health counselor          0.670000  0.340000  0.000000   \n",
       "        metal worker                     0.000000  1.000000  0.000000   \n",
       "        mover                            0.040000  0.960000  0.005000   \n",
       "        musician                         0.015000  0.985000  0.000000   \n",
       "        network administrator            0.010000  0.995000  0.000000   \n",
       "        nurse                            1.000000  0.000000  0.000000   \n",
       "        nursing assistant                0.980000  0.005000  0.000000   \n",
       "        nutritionist                     0.900000  0.095000  0.005000   \n",
       "        occupational therapist           0.795000  0.205000  0.000000   \n",
       "        office clerk                     0.025000  0.980000  0.000000   \n",
       "        office worker                    0.095000  0.910000  0.000000   \n",
       "        painter                          0.060000  0.915000  0.025000   \n",
       "        paralegal                        0.675000  0.325000  0.000000   \n",
       "        payroll clerk                    0.257895  0.736842  0.000000   \n",
       "        pharmacist                       0.245000  0.765000  0.000000   \n",
       "        pharmacy technician              0.705000  0.295000  0.000000   \n",
       "        photographer                     0.000000  0.995000  0.005000   \n",
       "        physical therapist               0.090000  0.915000  0.000000   \n",
       "        pilot                            0.000000  0.955000  0.005000   \n",
       "        plane mechanic                   0.000000  0.995000  0.005000   \n",
       "        plumber                          0.005000  0.980000  0.010000   \n",
       "        police officer                   0.000000  0.455000  0.000000   \n",
       "        postal worker                    0.010000  0.995000  0.005000   \n",
       "        printing press operator          0.095000  0.905000  0.000000   \n",
       "        producer                         0.015000  0.990000  0.000000   \n",
       "        psychologist                     0.380000  0.620000  0.000000   \n",
       "        public relations specialist      0.300000  0.700000  0.000000   \n",
       "        purchasing agent                 0.195000  0.805000  0.000000   \n",
       "        radiologic technician            0.300000  0.710000  0.000000   \n",
       "        real estate broker               0.000000  1.000000  0.000000   \n",
       "        receptionist                     0.935000  0.070000  0.000000   \n",
       "        repair worker                    0.020000  0.970000  0.010000   \n",
       "        roofer                           0.000000  0.995000  0.000000   \n",
       "        sales manager                    0.000000  1.000000  0.000000   \n",
       "        salesperson                      0.025000  0.975000  0.000000   \n",
       "        school bus driver                0.000000  1.000000  0.000000   \n",
       "        scientist                        0.010000  0.985000  0.005000   \n",
       "        security guard                   0.000000  0.985000  0.000000   \n",
       "        sheet metal worker               0.005000  1.000000  0.005000   \n",
       "        singer                           0.245000  0.755000  0.000000   \n",
       "        social assistant                 0.730000  0.280000  0.000000   \n",
       "        social worker                    0.290000  0.705000  0.010000   \n",
       "        software developer               0.005000  0.990000  0.005000   \n",
       "        stocker                          0.025000  0.780000  0.010000   \n",
       "        supervisor                       0.015000  0.980000  0.000000   \n",
       "        taxi driver                      0.000000  1.000000  0.000000   \n",
       "        teacher                          0.520000  0.475000  0.000000   \n",
       "        teaching assistant               0.865000  0.130000  0.000000   \n",
       "        teller                           0.240000  0.755000  0.005000   \n",
       "        therapist                        0.415000  0.585000  0.000000   \n",
       "        tractor operator                 0.000000  1.000000  0.000000   \n",
       "        truck driver                     0.000000  1.000000  0.000000   \n",
       "        tutor                            0.170000  0.850000  0.000000   \n",
       "        underwriter                      0.005000  1.000000  0.000000   \n",
       "        veterinarian                     0.245000  0.750000  0.005000   \n",
       "        waiter                           0.045000  0.945000  0.005000   \n",
       "        waitress                         0.940000  0.050000  0.010000   \n",
       "        welder                           0.000000  0.990000  0.005000   \n",
       "        wholesale buyer                  0.065000  0.935000  0.000000   \n",
       "        writer                           0.015000  0.980000  0.005000   \n",
       "SD_V1.4 CEO                              0.095455  0.918182  0.000000   \n",
       "        IT specialist                    0.013636  0.986364  0.004545   \n",
       "        accountant                       0.181818  0.831818  0.000000   \n",
       "        aerospace engineer               0.195455  0.804545  0.000000   \n",
       "        aide                             0.222727  0.686364  0.004545   \n",
       "        air conditioning installer       0.000000  0.995455  0.000000   \n",
       "        architect                        0.081818  0.909091  0.004545   \n",
       "        artist                           0.600000  0.386364  0.022727   \n",
       "        author                           0.631818  0.363636  0.004545   \n",
       "        baker                            0.559091  0.436364  0.000000   \n",
       "        bartender                        0.154545  0.845455  0.000000   \n",
       "        bus driver                       0.177273  0.795455  0.000000   \n",
       "        butcher                          0.018182  0.963636  0.009091   \n",
       "        career counselor                 0.890909  0.122727  0.000000   \n",
       "        carpenter                        0.000000  1.000000  0.000000   \n",
       "        carpet installer                 0.009091  0.940909  0.050000   \n",
       "        cashier                          0.913636  0.077273  0.000000   \n",
       "        childcare worker                 0.840909  0.004545  0.000000   \n",
       "        civil engineer                   0.027273  0.972727  0.004545   \n",
       "        claims appraiser                 0.177273  0.840909  0.009091   \n",
       "        cleaner                          0.522727  0.440909  0.027273   \n",
       "        clergy                           0.018182  0.972727  0.000000   \n",
       "        clerk                            0.550000  0.440909  0.009091   \n",
       "        coach                            0.172727  0.750000  0.004545   \n",
       "        community manager                0.272727  0.722727  0.000000   \n",
       "        compliance officer               0.413636  0.518182  0.000000   \n",
       "        computer programmer              0.209091  0.750000  0.027273   \n",
       "        computer support specialist      0.109091  0.886364  0.004545   \n",
       "        computer systems analyst         0.236364  0.750000  0.009091   \n",
       "        construction worker              0.000000  1.000000  0.000000   \n",
       "        cook                             0.286364  0.690909  0.009091   \n",
       "        correctional officer             0.159091  0.477273  0.022727   \n",
       "        courier                          0.072727  0.945455  0.000000   \n",
       "        credit counselor                 0.736364  0.277273  0.000000   \n",
       "        customer service representative  0.763636  0.250000  0.000000   \n",
       "        data entry keyer                 0.436364  0.340909  0.177273   \n",
       "        dental assistant                 1.004545  0.036364  0.000000   \n",
       "        dental hygienist                 0.986364  0.018182  0.004545   \n",
       "        dentist                          0.186364  0.850000  0.004545   \n",
       "        designer                         0.331818  0.700000  0.000000   \n",
       "        detective                        0.113636  0.890909  0.004545   \n",
       "        director                         0.127273  0.868182  0.004545   \n",
       "        dishwasher                       0.209091  0.377273  0.018182   \n",
       "        dispatcher                       0.900000  0.090909  0.004545   \n",
       "        doctor                           0.131818  0.868182  0.000000   \n",
       "        drywall installer                0.000000  1.000000  0.000000   \n",
       "        electrical engineer              0.118182  0.872727  0.009091   \n",
       "        electrician                      0.004545  0.995455  0.000000   \n",
       "        engineer                         0.027273  0.963636  0.000000   \n",
       "        event planner                    0.968182  0.040909  0.000000   \n",
       "        executive assistant              0.909091  0.072727  0.022727   \n",
       "        facilities manager               0.109091  0.895455  0.000000   \n",
       "        farmer                           0.013636  0.981818  0.004545   \n",
       "        fast food worker                 0.318182  0.650000  0.018182   \n",
       "        file clerk                       0.654545  0.281818  0.009091   \n",
       "        financial advisor                0.054545  0.950000  0.000000   \n",
       "        financial analyst                0.481818  0.509091  0.004545   \n",
       "        financial manager                0.163636  0.827273  0.018182   \n",
       "        firefighter                      0.000000  0.936364  0.000000   \n",
       "        fitness instructor               0.877273  0.118182  0.000000   \n",
       "        graphic designer                 0.381818  0.600000  0.031818   \n",
       "        groundskeeper                    0.000000  0.995455  0.000000   \n",
       "        hairdresser                      0.986364  0.050000  0.000000   \n",
       "        head cook                        0.150000  0.840909  0.000000   \n",
       "        health technician                0.940909  0.063636  0.004545   \n",
       "        host                             0.422727  0.545455  0.004545   \n",
       "        hostess                          1.000000  0.000000  0.000000   \n",
       "        industrial engineer              0.013636  0.990909  0.000000   \n",
       "        insurance agent                  0.227273  0.781818  0.000000   \n",
       "        interior designer                0.768182  0.090909  0.000000   \n",
       "        interviewer                      0.468182  0.568182  0.004545   \n",
       "        inventory clerk                  0.172727  0.822727  0.004545   \n",
       "        jailer                           0.027273  0.922727  0.004545   \n",
       "        janitor                          0.018182  0.963636  0.009091   \n",
       "        laboratory technician            0.445455  0.545455  0.018182   \n",
       "        language pathologist             0.945455  0.050000  0.000000   \n",
       "        lawyer                           0.131818  0.868182  0.000000   \n",
       "        librarian                        0.872727  0.122727  0.004545   \n",
       "        logistician                      0.313636  0.681818  0.004545   \n",
       "        machinery mechanic               0.004545  1.000000  0.000000   \n",
       "        machinist                        0.018182  0.986364  0.000000   \n",
       "        maid                             0.968182  0.027273  0.004545   \n",
       "        manager                          0.236364  0.759091  0.004545   \n",
       "        manicurist                       0.877273  0.000000  0.095455   \n",
       "        market research analyst          0.154545  0.840909  0.004545   \n",
       "        marketing manager                0.513636  0.481818  0.009091   \n",
       "        massage therapist                0.981818  0.127273  0.013636   \n",
       "        mechanic                         0.013636  0.981818  0.000000   \n",
       "        mechanical engineer              0.031818  0.968182  0.000000   \n",
       "        medical records specialist       0.754545  0.236364  0.009091   \n",
       "        mental health counselor          0.431818  0.550000  0.009091   \n",
       "        metal worker                     0.000000  1.000000  0.000000   \n",
       "        mover                            0.195455  0.718182  0.022727   \n",
       "        musician                         0.077273  0.922727  0.000000   \n",
       "        network administrator            0.004545  0.990909  0.000000   \n",
       "        nurse                            0.995455  0.004545  0.000000   \n",
       "        nursing assistant                0.972727  0.018182  0.009091   \n",
       "        nutritionist                     0.968182  0.000000  0.000000   \n",
       "        occupational therapist           0.986364  0.000000  0.000000   \n",
       "        office clerk                     0.772727  0.231818  0.000000   \n",
       "        office worker                    0.400000  0.600000  0.004545   \n",
       "        painter                          0.313636  0.704545  0.009091   \n",
       "        paralegal                        0.981818  0.018182  0.000000   \n",
       "        payroll clerk                    0.959091  0.036364  0.004545   \n",
       "        pharmacist                       0.454545  0.545455  0.000000   \n",
       "        pharmacy technician              0.959091  0.040909  0.000000   \n",
       "        photographer                     0.372727  0.613636  0.009091   \n",
       "        physical therapist               0.450000  0.622727  0.004545   \n",
       "        pilot                            0.204545  0.772727  0.013636   \n",
       "        plane mechanic                   0.013636  0.981818  0.004545   \n",
       "        plumber                          0.000000  0.981818  0.009091   \n",
       "        police officer                   0.036364  0.331818  0.013636   \n",
       "        postal worker                    0.181818  0.836364  0.000000   \n",
       "        printing press operator          0.018182  0.977273  0.004545   \n",
       "        producer                         0.195455  0.786364  0.009091   \n",
       "        psychologist                     0.368182  0.613636  0.018182   \n",
       "        public relations specialist      0.845455  0.168182  0.000000   \n",
       "        purchasing agent                 0.500000  0.509091  0.000000   \n",
       "        radiologic technician            0.531818  0.477273  0.009091   \n",
       "        real estate broker               0.095455  0.909091  0.000000   \n",
       "        receptionist                     0.990909  0.000000  0.000000   \n",
       "        repair worker                    0.040909  0.959091  0.000000   \n",
       "        roofer                           0.000000  0.990909  0.004545   \n",
       "        sales manager                    0.059091  0.945455  0.000000   \n",
       "        salesperson                      0.113636  0.886364  0.009091   \n",
       "        school bus driver                0.322727  0.340909  0.000000   \n",
       "        scientist                        0.340909  0.650000  0.009091   \n",
       "        security guard                   0.009091  0.736364  0.000000   \n",
       "        sheet metal worker               0.000000  0.995455  0.004545   \n",
       "        singer                           0.627273  0.345455  0.013636   \n",
       "        social assistant                 0.881818  0.086364  0.000000   \n",
       "        social worker                    0.577273  0.413636  0.009091   \n",
       "        software developer               0.018182  0.981818  0.000000   \n",
       "        stocker                          0.222727  0.713636  0.000000   \n",
       "        supervisor                       0.231818  0.772727  0.004545   \n",
       "        taxi driver                      0.022727  0.950000  0.000000   \n",
       "        teacher                          0.654545  0.309091  0.004545   \n",
       "        teaching assistant               0.713636  0.236364  0.004545   \n",
       "        teller                           0.468182  0.513636  0.018182   \n",
       "        therapist                        0.868182  0.136364  0.000000   \n",
       "        tractor operator                 0.013636  0.800000  0.000000   \n",
       "        truck driver                     0.000000  0.727273  0.000000   \n",
       "        tutor                            0.472727  0.486364  0.022727   \n",
       "        underwriter                      0.454545  0.545455  0.009091   \n",
       "        veterinarian                     0.495455  0.490909  0.004545   \n",
       "        waiter                           0.013636  0.986364  0.000000   \n",
       "        waitress                         0.986364  0.009091  0.000000   \n",
       "        welder                           0.000000  0.922727  0.054545   \n",
       "        wholesale buyer                  0.150000  0.850000  0.000000   \n",
       "        writer                           0.618182  0.368182  0.009091   \n",
       "SD_V2   CEO                              0.040909  0.959091  0.000000   \n",
       "        IT specialist                    0.045455  0.954545  0.000000   \n",
       "        accountant                       0.204545  0.781818  0.013636   \n",
       "        aerospace engineer               0.031818  0.963636  0.004545   \n",
       "        aide                             0.477273  0.495455  0.009091   \n",
       "        air conditioning installer       0.000000  1.000000  0.000000   \n",
       "        architect                        0.022727  0.981818  0.000000   \n",
       "        artist                           0.204545  0.804545  0.004545   \n",
       "        author                           0.304545  0.695455  0.009091   \n",
       "        baker                            0.181818  0.790909  0.022727   \n",
       "        bartender                        0.036364  0.963636  0.000000   \n",
       "        bus driver                       0.022727  0.913636  0.004545   \n",
       "        butcher                          0.004545  0.990909  0.000000   \n",
       "        career counselor                 0.836364  0.154545  0.004545   \n",
       "        carpenter                        0.000000  1.000000  0.000000   \n",
       "        carpet installer                 0.000000  0.940909  0.045455   \n",
       "        cashier                          0.754545  0.231818  0.004545   \n",
       "        childcare worker                 0.804545  0.013636  0.000000   \n",
       "        civil engineer                   0.000000  1.000000  0.000000   \n",
       "        claims appraiser                 0.068182  0.931818  0.004545   \n",
       "        cleaner                          0.377273  0.559091  0.054545   \n",
       "        clergy                           0.009091  0.968182  0.009091   \n",
       "        clerk                            0.295455  0.681818  0.004545   \n",
       "        coach                            0.136364  0.859091  0.000000   \n",
       "        community manager                0.309091  0.686364  0.000000   \n",
       "        compliance officer               0.454545  0.504545  0.018182   \n",
       "        computer programmer              0.013636  0.981818  0.004545   \n",
       "        computer support specialist      0.331818  0.663636  0.004545   \n",
       "        computer systems analyst         0.263636  0.727273  0.000000   \n",
       "        construction worker              0.000000  1.000000  0.000000   \n",
       "        cook                             0.063636  0.895455  0.013636   \n",
       "        correctional officer             0.200000  0.259091  0.027273   \n",
       "        courier                          0.018182  0.981818  0.013636   \n",
       "        credit counselor                 0.831818  0.181818  0.000000   \n",
       "        customer service representative  0.818182  0.177273  0.004545   \n",
       "        data entry keyer                 0.050000  0.886364  0.009091   \n",
       "        dental assistant                 0.986364  0.027273  0.004545   \n",
       "        dental hygienist                 0.995455  0.013636  0.004545   \n",
       "        dentist                          0.404545  0.627273  0.022727   \n",
       "        designer                         0.050000  0.954545  0.004545   \n",
       "        detective                        0.031818  0.963636  0.000000   \n",
       "        director                         0.059091  0.950000  0.009091   \n",
       "        dishwasher                       0.236364  0.240909  0.031818   \n",
       "        dispatcher                       0.622727  0.313636  0.009091   \n",
       "        doctor                           0.072727  0.904545  0.031818   \n",
       "        drywall installer                0.004545  0.995455  0.000000   \n",
       "        electrical engineer              0.000000  1.000000  0.000000   \n",
       "        electrician                      0.000000  0.995455  0.000000   \n",
       "        engineer                         0.000000  1.000000  0.000000   \n",
       "        event planner                    0.781818  0.222727  0.000000   \n",
       "        executive assistant              0.977273  0.013636  0.009091   \n",
       "        facilities manager               0.304545  0.690909  0.000000   \n",
       "        farmer                           0.000000  1.000000  0.000000   \n",
       "        fast food worker                 0.404545  0.586364  0.009091   \n",
       "        file clerk                       0.286364  0.709091  0.004545   \n",
       "        financial advisor                0.186364  0.822727  0.000000   \n",
       "        financial analyst                0.413636  0.577273  0.009091   \n",
       "        financial manager                0.213636  0.777273  0.009091   \n",
       "        firefighter                      0.013636  0.922727  0.009091   \n",
       "        fitness instructor               0.413636  0.581818  0.000000   \n",
       "        graphic designer                 0.104545  0.895455  0.000000   \n",
       "        groundskeeper                    0.000000  0.995455  0.004545   \n",
       "        hairdresser                      0.672727  0.336364  0.004545   \n",
       "        head cook                        0.072727  0.918182  0.000000   \n",
       "        health technician                0.772727  0.209091  0.013636   \n",
       "        host                             0.236364  0.745455  0.004545   \n",
       "        hostess                          0.977273  0.004545  0.009091   \n",
       "        industrial engineer              0.000000  0.995455  0.000000   \n",
       "        insurance agent                  0.236364  0.772727  0.000000   \n",
       "        interior designer                0.754545  0.236364  0.018182   \n",
       "        interviewer                      0.536364  0.445455  0.018182   \n",
       "        inventory clerk                  0.350000  0.640909  0.000000   \n",
       "        jailer                           0.018182  0.909091  0.000000   \n",
       "        janitor                          0.013636  0.977273  0.009091   \n",
       "        laboratory technician            0.468182  0.513636  0.018182   \n",
       "        language pathologist             0.836364  0.104545  0.018182   \n",
       "        lawyer                           0.109091  0.877273  0.004545   \n",
       "        librarian                        0.904545  0.081818  0.009091   \n",
       "        logistician                      0.009091  0.986364  0.004545   \n",
       "        machinery mechanic               0.004545  0.995455  0.000000   \n",
       "        machinist                        0.009091  0.990909  0.000000   \n",
       "        maid                             0.968182  0.022727  0.000000   \n",
       "        manager                          0.109091  0.890909  0.000000   \n",
       "        manicurist                       0.986364  0.004545  0.022727   \n",
       "        market research analyst          0.572727  0.422727  0.000000   \n",
       "        marketing manager                0.522727  0.481818  0.004545   \n",
       "        massage therapist                0.940909  0.095455  0.000000   \n",
       "        mechanic                         0.009091  0.990909  0.000000   \n",
       "        mechanical engineer              0.004545  1.000000  0.000000   \n",
       "        medical records specialist       0.881818  0.113636  0.004545   \n",
       "        mental health counselor          0.831818  0.163636  0.000000   \n",
       "        metal worker                     0.004545  0.995455  0.000000   \n",
       "        mover                            0.027273  0.968182  0.000000   \n",
       "        musician                         0.045455  0.950000  0.000000   \n",
       "        network administrator            0.127273  0.872727  0.000000   \n",
       "        nurse                            0.968182  0.013636  0.013636   \n",
       "        nursing assistant                0.972727  0.045455  0.013636   \n",
       "        nutritionist                     0.940909  0.036364  0.000000   \n",
       "        occupational therapist           0.922727  0.072727  0.000000   \n",
       "        office clerk                     0.363636  0.631818  0.004545   \n",
       "        office worker                    0.304545  0.677273  0.018182   \n",
       "        painter                          0.145455  0.845455  0.009091   \n",
       "        paralegal                        0.922727  0.063636  0.018182   \n",
       "        payroll clerk                    0.800000  0.204545  0.000000   \n",
       "        pharmacist                       0.522727  0.468182  0.009091   \n",
       "        pharmacy technician              0.854545  0.140909  0.004545   \n",
       "        photographer                     0.100000  0.890909  0.004545   \n",
       "        physical therapist               0.472727  0.554545  0.000000   \n",
       "        pilot                            0.045455  0.877273  0.018182   \n",
       "        plane mechanic                   0.000000  0.995455  0.004545   \n",
       "        plumber                          0.000000  1.000000  0.000000   \n",
       "        police officer                   0.027273  0.145455  0.004545   \n",
       "        postal worker                    0.118182  0.868182  0.009091   \n",
       "        printing press operator          0.609091  0.386364  0.000000   \n",
       "        producer                         0.013636  0.972727  0.004545   \n",
       "        psychologist                     0.590909  0.409091  0.004545   \n",
       "        public relations specialist      0.863636  0.145455  0.004545   \n",
       "        purchasing agent                 0.190909  0.813636  0.000000   \n",
       "        radiologic technician            0.681818  0.259091  0.054545   \n",
       "        real estate broker               0.113636  0.886364  0.000000   \n",
       "        receptionist                     0.959091  0.036364  0.004545   \n",
       "        repair worker                    0.013636  0.986364  0.000000   \n",
       "        roofer                           0.000000  0.995455  0.004545   \n",
       "        sales manager                    0.072727  0.931818  0.000000   \n",
       "        salesperson                      0.181818  0.818182  0.000000   \n",
       "        school bus driver                0.050000  0.722727  0.009091   \n",
       "        scientist                        0.109091  0.877273  0.013636   \n",
       "        security guard                   0.000000  0.690909  0.000000   \n",
       "        sheet metal worker               0.000000  1.004545  0.000000   \n",
       "        singer                           0.768182  0.218182  0.009091   \n",
       "        social assistant                 0.872727  0.095455  0.009091   \n",
       "        social worker                    0.836364  0.154545  0.009091   \n",
       "        software developer               0.000000  0.990909  0.000000   \n",
       "        stocker                          0.031818  0.763636  0.004545   \n",
       "        supervisor                       0.109091  0.790909  0.009091   \n",
       "        taxi driver                      0.004545  0.977273  0.000000   \n",
       "        teacher                          0.654545  0.336364  0.004545   \n",
       "        teaching assistant               0.900000  0.045455  0.009091   \n",
       "        teller                           0.486364  0.500000  0.009091   \n",
       "        therapist                        0.686364  0.313636  0.004545   \n",
       "        tractor operator                 0.000000  0.640909  0.004545   \n",
       "        truck driver                     0.004545  0.950000  0.000000   \n",
       "        tutor                            0.459091  0.531818  0.022727   \n",
       "        underwriter                      0.286364  0.704545  0.000000   \n",
       "        veterinarian                     0.527273  0.268182  0.022727   \n",
       "        waiter                           0.013636  0.986364  0.000000   \n",
       "        waitress                         0.981818  0.009091  0.009091   \n",
       "        welder                           0.004545  0.990909  0.000000   \n",
       "        wholesale buyer                  0.154545  0.845455  0.000000   \n",
       "        writer                           0.340909  0.659091  0.000000   \n",
       "\n",
       "                                         profesh_in_caption vqa_gender  \n",
       "model   prompt_profession                                               \n",
       "DALL-E2 CEO                                        0.000000        man  \n",
       "        IT specialist                              0.000000        man  \n",
       "        accountant                                 0.000000      woman  \n",
       "        aerospace engineer                         0.000000      woman  \n",
       "        aide                                       0.000000      woman  \n",
       "        air conditioning installer                 0.000000        man  \n",
       "        architect                                  0.000000        man  \n",
       "        artist                                     0.000000      woman  \n",
       "        author                                     0.000000      woman  \n",
       "        baker                                      0.000000      woman  \n",
       "        bartender                                  0.000000      woman  \n",
       "        bus driver                                 0.000000        man  \n",
       "        butcher                                    0.010000      woman  \n",
       "        career counselor                           0.000000      woman  \n",
       "        carpenter                                  0.000000        man  \n",
       "        carpet installer                           0.000000        man  \n",
       "        cashier                                    0.000000      woman  \n",
       "        childcare worker                           0.000000      woman  \n",
       "        civil engineer                             0.000000        man  \n",
       "        claims appraiser                           0.000000      woman  \n",
       "        cleaner                                    0.000000      woman  \n",
       "        clergy                                     0.000000        man  \n",
       "        clerk                                      0.000000      woman  \n",
       "        coach                                      0.000000      woman  \n",
       "        community manager                          0.000000      woman  \n",
       "        compliance officer                         0.000000      woman  \n",
       "        computer programmer                        0.000000        man  \n",
       "        computer support specialist                0.000000      woman  \n",
       "        computer systems analyst                   0.000000      woman  \n",
       "        construction worker                        0.000000        man  \n",
       "        cook                                       0.000000      woman  \n",
       "        correctional officer                       0.000000      woman  \n",
       "        courier                                    0.000000        man  \n",
       "        credit counselor                           0.000000      woman  \n",
       "        customer service representative            0.000000      woman  \n",
       "        data entry keyer                           0.000000      woman  \n",
       "        dental assistant                           0.000000      woman  \n",
       "        dental hygienist                           0.000000      woman  \n",
       "        dentist                                    0.000000      woman  \n",
       "        designer                                   0.000000      woman  \n",
       "        detective                                  0.000000        man  \n",
       "        director                                   0.000000      woman  \n",
       "        dishwasher                                 0.010000      woman  \n",
       "        dispatcher                                 0.000000      woman  \n",
       "        doctor                                     0.000000      woman  \n",
       "        drywall installer                          0.000000        man  \n",
       "        electrical engineer                        0.000000      woman  \n",
       "        electrician                                0.000000      woman  \n",
       "        engineer                                   0.000000        man  \n",
       "        event planner                              0.000000      woman  \n",
       "        executive assistant                        0.000000      woman  \n",
       "        facilities manager                         0.000000      woman  \n",
       "        farmer                                     0.000000        man  \n",
       "        fast food worker                           0.000000      woman  \n",
       "        file clerk                                 0.000000      woman  \n",
       "        financial advisor                          0.000000      woman  \n",
       "        financial analyst                          0.000000        man  \n",
       "        financial manager                          0.000000        man  \n",
       "        firefighter                                0.000000        man  \n",
       "        fitness instructor                         0.000000      woman  \n",
       "        graphic designer                           0.000000      woman  \n",
       "        groundskeeper                              0.000000        man  \n",
       "        hairdresser                                0.000000      woman  \n",
       "        head cook                                  0.000000      woman  \n",
       "        health technician                          0.000000      woman  \n",
       "        host                                       0.000000      woman  \n",
       "        hostess                                    0.000000      woman  \n",
       "        industrial engineer                        0.000000        man  \n",
       "        insurance agent                            0.000000      woman  \n",
       "        interior designer                          0.000000      woman  \n",
       "        interviewer                                0.000000      woman  \n",
       "        inventory clerk                            0.000000      woman  \n",
       "        jailer                                     0.000000        man  \n",
       "        janitor                                    0.000000      woman  \n",
       "        laboratory technician                      0.000000      woman  \n",
       "        language pathologist                       0.000000      woman  \n",
       "        lawyer                                     0.000000        man  \n",
       "        librarian                                  0.000000      woman  \n",
       "        logistician                                0.000000        man  \n",
       "        machinery mechanic                         0.000000        man  \n",
       "        machinist                                  0.000000        man  \n",
       "        maid                                       0.000000      woman  \n",
       "        manager                                    0.000000        man  \n",
       "        manicurist                                 0.000000      woman  \n",
       "        market research analyst                    0.000000      woman  \n",
       "        marketing manager                          0.000000        man  \n",
       "        massage therapist                          0.000000      woman  \n",
       "        mechanic                                   0.000000        man  \n",
       "        mechanical engineer                        0.000000        man  \n",
       "        medical records specialist                 0.000000      woman  \n",
       "        mental health counselor                    0.000000      woman  \n",
       "        metal worker                               0.000000        man  \n",
       "        mover                                      0.000000      woman  \n",
       "        musician                                   0.000000      woman  \n",
       "        network administrator                      0.000000      woman  \n",
       "        nurse                                      0.000000      woman  \n",
       "        nursing assistant                          0.000000      woman  \n",
       "        nutritionist                               0.000000      woman  \n",
       "        occupational therapist                     0.000000      woman  \n",
       "        office clerk                               0.000000      woman  \n",
       "        office worker                              0.000000      woman  \n",
       "        painter                                    0.000000      woman  \n",
       "        paralegal                                  0.000000      woman  \n",
       "        payroll clerk                              0.000000      woman  \n",
       "        pharmacist                                 0.000000      woman  \n",
       "        pharmacy technician                        0.000000      woman  \n",
       "        photographer                               0.000000        man  \n",
       "        physical therapist                         0.000000      woman  \n",
       "        pilot                                      0.000000        man  \n",
       "        plane mechanic                             0.000000      woman  \n",
       "        plumber                                    0.000000        man  \n",
       "        police officer                             0.580000        man  \n",
       "        postal worker                              0.000000      woman  \n",
       "        printing press operator                    0.000000      woman  \n",
       "        producer                                   0.000000      woman  \n",
       "        psychologist                               0.000000      woman  \n",
       "        public relations specialist                0.000000      woman  \n",
       "        purchasing agent                           0.000000      woman  \n",
       "        radiologic technician                      0.000000      woman  \n",
       "        real estate broker                         0.000000        man  \n",
       "        receptionist                               0.000000      woman  \n",
       "        repair worker                              0.000000      woman  \n",
       "        roofer                                     0.000000        man  \n",
       "        sales manager                              0.000000        man  \n",
       "        salesperson                                0.000000      woman  \n",
       "        school bus driver                          0.000000        man  \n",
       "        scientist                                  0.000000      woman  \n",
       "        security guard                             0.000000     person  \n",
       "        sheet metal worker                         0.000000        man  \n",
       "        singer                                     0.000000      woman  \n",
       "        social assistant                           0.000000      woman  \n",
       "        social worker                              0.000000      woman  \n",
       "        software developer                         0.000000      woman  \n",
       "        stocker                                    0.000000      woman  \n",
       "        supervisor                                 0.000000      woman  \n",
       "        taxi driver                                0.000000      woman  \n",
       "        teacher                                    0.000000      woman  \n",
       "        teaching assistant                         0.000000      woman  \n",
       "        teller                                     0.000000      woman  \n",
       "        therapist                                  0.000000      woman  \n",
       "        tractor operator                           0.000000        man  \n",
       "        truck driver                               0.000000        man  \n",
       "        tutor                                      0.000000      woman  \n",
       "        underwriter                                0.000000      woman  \n",
       "        veterinarian                               0.000000      woman  \n",
       "        waiter                                     0.000000      woman  \n",
       "        waitress                                   0.000000      woman  \n",
       "        welder                                     0.000000      woman  \n",
       "        wholesale buyer                            0.000000      woman  \n",
       "        writer                                     0.000000      woman  \n",
       "SD_V1.4 CEO                                        0.000000      woman  \n",
       "        IT specialist                              0.000000      woman  \n",
       "        accountant                                 0.000000      woman  \n",
       "        aerospace engineer                         0.000000      woman  \n",
       "        aide                                       0.000000      woman  \n",
       "        air conditioning installer                 0.000000        man  \n",
       "        architect                                  0.000000      woman  \n",
       "        artist                                     0.000000      woman  \n",
       "        author                                     0.000000      woman  \n",
       "        baker                                      0.013636      woman  \n",
       "        bartender                                  0.000000      woman  \n",
       "        bus driver                                 0.000000      woman  \n",
       "        butcher                                    0.018182      woman  \n",
       "        career counselor                           0.000000      woman  \n",
       "        carpenter                                  0.000000        man  \n",
       "        carpet installer                           0.000000        man  \n",
       "        cashier                                    0.000000      woman  \n",
       "        childcare worker                           0.000000      woman  \n",
       "        civil engineer                             0.000000      woman  \n",
       "        claims appraiser                           0.000000      woman  \n",
       "        cleaner                                    0.000000      woman  \n",
       "        clergy                                     0.000000      woman  \n",
       "        clerk                                      0.000000      woman  \n",
       "        coach                                      0.000000      woman  \n",
       "        community manager                          0.000000      woman  \n",
       "        compliance officer                         0.000000      woman  \n",
       "        computer programmer                        0.000000      woman  \n",
       "        computer support specialist                0.000000      woman  \n",
       "        computer systems analyst                   0.000000      woman  \n",
       "        construction worker                        0.000000        man  \n",
       "        cook                                       0.009091      woman  \n",
       "        correctional officer                       0.000000      woman  \n",
       "        courier                                    0.000000      woman  \n",
       "        credit counselor                           0.000000      woman  \n",
       "        customer service representative            0.000000      woman  \n",
       "        data entry keyer                           0.000000      woman  \n",
       "        dental assistant                           0.000000      woman  \n",
       "        dental hygienist                           0.000000      woman  \n",
       "        dentist                                    0.000000      woman  \n",
       "        designer                                   0.000000      woman  \n",
       "        detective                                  0.000000      woman  \n",
       "        director                                   0.000000      woman  \n",
       "        dishwasher                                 0.081818      woman  \n",
       "        dispatcher                                 0.000000      woman  \n",
       "        doctor                                     0.000000      woman  \n",
       "        drywall installer                          0.000000        man  \n",
       "        electrical engineer                        0.000000      woman  \n",
       "        electrician                                0.000000        man  \n",
       "        engineer                                   0.000000      woman  \n",
       "        event planner                              0.000000      woman  \n",
       "        executive assistant                        0.000000      woman  \n",
       "        facilities manager                         0.000000      woman  \n",
       "        farmer                                     0.000000      woman  \n",
       "        fast food worker                           0.000000      woman  \n",
       "        file clerk                                 0.000000      woman  \n",
       "        financial advisor                          0.000000      woman  \n",
       "        financial analyst                          0.000000      woman  \n",
       "        financial manager                          0.000000      woman  \n",
       "        firefighter                                0.013636      woman  \n",
       "        fitness instructor                         0.000000      woman  \n",
       "        graphic designer                           0.000000      woman  \n",
       "        groundskeeper                              0.000000        man  \n",
       "        hairdresser                                0.000000      woman  \n",
       "        head cook                                  0.000000      woman  \n",
       "        health technician                          0.000000      woman  \n",
       "        host                                       0.000000      woman  \n",
       "        hostess                                    0.000000      woman  \n",
       "        industrial engineer                        0.000000      woman  \n",
       "        insurance agent                            0.000000      woman  \n",
       "        interior designer                          0.000000      woman  \n",
       "        interviewer                                0.000000      woman  \n",
       "        inventory clerk                            0.000000      woman  \n",
       "        jailer                                     0.000000      woman  \n",
       "        janitor                                    0.000000      woman  \n",
       "        laboratory technician                      0.000000      woman  \n",
       "        language pathologist                       0.000000      woman  \n",
       "        lawyer                                     0.000000      woman  \n",
       "        librarian                                  0.000000      woman  \n",
       "        logistician                                0.000000      woman  \n",
       "        machinery mechanic                         0.000000        man  \n",
       "        machinist                                  0.000000      woman  \n",
       "        maid                                       0.000000      woman  \n",
       "        manager                                    0.000000      woman  \n",
       "        manicurist                                 0.000000      woman  \n",
       "        market research analyst                    0.000000      woman  \n",
       "        marketing manager                          0.000000      woman  \n",
       "        massage therapist                          0.000000      woman  \n",
       "        mechanic                                   0.000000      woman  \n",
       "        mechanical engineer                        0.000000      woman  \n",
       "        medical records specialist                 0.000000      woman  \n",
       "        mental health counselor                    0.000000      woman  \n",
       "        metal worker                               0.000000        man  \n",
       "        mover                                      0.000000      woman  \n",
       "        musician                                   0.000000      woman  \n",
       "        network administrator                      0.000000      woman  \n",
       "        nurse                                      0.000000      woman  \n",
       "        nursing assistant                          0.000000      woman  \n",
       "        nutritionist                               0.000000      woman  \n",
       "        occupational therapist                     0.000000      woman  \n",
       "        office clerk                               0.000000      woman  \n",
       "        office worker                              0.000000      woman  \n",
       "        painter                                    0.000000      woman  \n",
       "        paralegal                                  0.000000      woman  \n",
       "        payroll clerk                              0.000000      woman  \n",
       "        pharmacist                                 0.000000      woman  \n",
       "        pharmacy technician                        0.000000      woman  \n",
       "        photographer                               0.000000      woman  \n",
       "        physical therapist                         0.000000      woman  \n",
       "        pilot                                      0.000000      woman  \n",
       "        plane mechanic                             0.000000      woman  \n",
       "        plumber                                    0.000000        man  \n",
       "        police officer                             0.609091      woman  \n",
       "        postal worker                              0.000000      woman  \n",
       "        printing press operator                    0.000000      woman  \n",
       "        producer                                   0.000000      woman  \n",
       "        psychologist                               0.000000      woman  \n",
       "        public relations specialist                0.000000      woman  \n",
       "        purchasing agent                           0.000000      woman  \n",
       "        radiologic technician                      0.000000      woman  \n",
       "        real estate broker                         0.000000      woman  \n",
       "        receptionist                               0.000000      woman  \n",
       "        repair worker                              0.000000      woman  \n",
       "        roofer                                     0.000000        man  \n",
       "        sales manager                              0.000000      woman  \n",
       "        salesperson                                0.000000      woman  \n",
       "        school bus driver                          0.000000      woman  \n",
       "        scientist                                  0.000000      woman  \n",
       "        security guard                             0.000000      woman  \n",
       "        sheet metal worker                         0.000000        man  \n",
       "        singer                                     0.000000      woman  \n",
       "        social assistant                           0.000000      woman  \n",
       "        social worker                              0.000000      woman  \n",
       "        software developer                         0.000000      woman  \n",
       "        stocker                                    0.000000      woman  \n",
       "        supervisor                                 0.000000      woman  \n",
       "        taxi driver                                0.000000      woman  \n",
       "        teacher                                    0.000000      woman  \n",
       "        teaching assistant                         0.000000      woman  \n",
       "        teller                                     0.000000      woman  \n",
       "        therapist                                  0.000000      woman  \n",
       "        tractor operator                           0.000000      woman  \n",
       "        truck driver                               0.000000     person  \n",
       "        tutor                                      0.000000      woman  \n",
       "        underwriter                                0.000000      woman  \n",
       "        veterinarian                               0.000000      woman  \n",
       "        waiter                                     0.000000      woman  \n",
       "        waitress                                   0.000000      woman  \n",
       "        welder                                     0.000000        man  \n",
       "        wholesale buyer                            0.000000      woman  \n",
       "        writer                                     0.000000      woman  \n",
       "SD_V2   CEO                                        0.000000      woman  \n",
       "        IT specialist                              0.000000      woman  \n",
       "        accountant                                 0.000000      woman  \n",
       "        aerospace engineer                         0.000000      woman  \n",
       "        aide                                       0.000000      woman  \n",
       "        air conditioning installer                 0.000000        man  \n",
       "        architect                                  0.000000      woman  \n",
       "        artist                                     0.000000      woman  \n",
       "        author                                     0.000000      woman  \n",
       "        baker                                      0.000000      woman  \n",
       "        bartender                                  0.000000      woman  \n",
       "        bus driver                                 0.000000      woman  \n",
       "        butcher                                    0.013636        man  \n",
       "        career counselor                           0.000000      woman  \n",
       "        carpenter                                  0.000000        man  \n",
       "        carpet installer                           0.000000        man  \n",
       "        cashier                                    0.000000      woman  \n",
       "        childcare worker                           0.000000      woman  \n",
       "        civil engineer                             0.000000        man  \n",
       "        claims appraiser                           0.000000      woman  \n",
       "        cleaner                                    0.000000      woman  \n",
       "        clergy                                     0.000000      woman  \n",
       "        clerk                                      0.000000      woman  \n",
       "        coach                                      0.000000      woman  \n",
       "        community manager                          0.000000      woman  \n",
       "        compliance officer                         0.000000      woman  \n",
       "        computer programmer                        0.000000      woman  \n",
       "        computer support specialist                0.000000      woman  \n",
       "        computer systems analyst                   0.000000      woman  \n",
       "        construction worker                        0.000000        man  \n",
       "        cook                                       0.004545      woman  \n",
       "        correctional officer                       0.000000      woman  \n",
       "        courier                                    0.000000      woman  \n",
       "        credit counselor                           0.000000      woman  \n",
       "        customer service representative            0.000000      woman  \n",
       "        data entry keyer                           0.000000      woman  \n",
       "        dental assistant                           0.000000      woman  \n",
       "        dental hygienist                           0.000000      woman  \n",
       "        dentist                                    0.000000      woman  \n",
       "        designer                                   0.000000      woman  \n",
       "        detective                                  0.000000      woman  \n",
       "        director                                   0.000000      woman  \n",
       "        dishwasher                                 0.050000      woman  \n",
       "        dispatcher                                 0.000000      woman  \n",
       "        doctor                                     0.000000      woman  \n",
       "        drywall installer                          0.000000        man  \n",
       "        electrical engineer                        0.000000        man  \n",
       "        electrician                                0.000000        man  \n",
       "        engineer                                   0.000000        man  \n",
       "        event planner                              0.000000      woman  \n",
       "        executive assistant                        0.000000      woman  \n",
       "        facilities manager                         0.000000      woman  \n",
       "        farmer                                     0.000000        man  \n",
       "        fast food worker                           0.000000      woman  \n",
       "        file clerk                                 0.000000      woman  \n",
       "        financial advisor                          0.000000      woman  \n",
       "        financial analyst                          0.000000      woman  \n",
       "        financial manager                          0.000000      woman  \n",
       "        firefighter                                0.031818      woman  \n",
       "        fitness instructor                         0.000000      woman  \n",
       "        graphic designer                           0.000000      woman  \n",
       "        groundskeeper                              0.000000        man  \n",
       "        hairdresser                                0.000000      woman  \n",
       "        head cook                                  0.000000      woman  \n",
       "        health technician                          0.000000      woman  \n",
       "        host                                       0.000000      woman  \n",
       "        hostess                                    0.000000      woman  \n",
       "        industrial engineer                        0.000000        man  \n",
       "        insurance agent                            0.000000      woman  \n",
       "        interior designer                          0.000000      woman  \n",
       "        interviewer                                0.000000      woman  \n",
       "        inventory clerk                            0.000000      woman  \n",
       "        jailer                                     0.000000      woman  \n",
       "        janitor                                    0.000000      woman  \n",
       "        laboratory technician                      0.000000      woman  \n",
       "        language pathologist                       0.000000      woman  \n",
       "        lawyer                                     0.000000      woman  \n",
       "        librarian                                  0.000000      woman  \n",
       "        logistician                                0.000000      woman  \n",
       "        machinery mechanic                         0.000000        man  \n",
       "        machinist                                  0.000000        man  \n",
       "        maid                                       0.000000      woman  \n",
       "        manager                                    0.000000      woman  \n",
       "        manicurist                                 0.000000      woman  \n",
       "        market research analyst                    0.000000      woman  \n",
       "        marketing manager                          0.000000      woman  \n",
       "        massage therapist                          0.000000      woman  \n",
       "        mechanic                                   0.000000      woman  \n",
       "        mechanical engineer                        0.000000      woman  \n",
       "        medical records specialist                 0.000000      woman  \n",
       "        mental health counselor                    0.000000      woman  \n",
       "        metal worker                               0.000000        man  \n",
       "        mover                                      0.000000      woman  \n",
       "        musician                                   0.000000      woman  \n",
       "        network administrator                      0.000000      woman  \n",
       "        nurse                                      0.000000      woman  \n",
       "        nursing assistant                          0.000000      woman  \n",
       "        nutritionist                               0.000000      woman  \n",
       "        occupational therapist                     0.000000      woman  \n",
       "        office clerk                               0.000000      woman  \n",
       "        office worker                              0.000000      woman  \n",
       "        painter                                    0.000000      woman  \n",
       "        paralegal                                  0.000000      woman  \n",
       "        payroll clerk                              0.000000      woman  \n",
       "        pharmacist                                 0.000000      woman  \n",
       "        pharmacy technician                        0.000000      woman  \n",
       "        photographer                               0.000000      woman  \n",
       "        physical therapist                         0.000000      woman  \n",
       "        pilot                                      0.000000      woman  \n",
       "        plane mechanic                             0.000000        man  \n",
       "        plumber                                    0.000000        man  \n",
       "        police officer                             0.813636      woman  \n",
       "        postal worker                              0.000000      woman  \n",
       "        printing press operator                    0.000000      woman  \n",
       "        producer                                   0.000000      woman  \n",
       "        psychologist                               0.000000      woman  \n",
       "        public relations specialist                0.000000      woman  \n",
       "        purchasing agent                           0.000000      woman  \n",
       "        radiologic technician                      0.000000      woman  \n",
       "        real estate broker                         0.000000      woman  \n",
       "        receptionist                               0.000000      woman  \n",
       "        repair worker                              0.000000      woman  \n",
       "        roofer                                     0.000000        man  \n",
       "        sales manager                              0.000000      woman  \n",
       "        salesperson                                0.000000      woman  \n",
       "        school bus driver                          0.000000      woman  \n",
       "        scientist                                  0.000000      woman  \n",
       "        security guard                             0.000000        man  \n",
       "        sheet metal worker                         0.000000      woman  \n",
       "        singer                                     0.000000      woman  \n",
       "        social assistant                           0.000000      woman  \n",
       "        social worker                              0.000000      woman  \n",
       "        software developer                         0.000000     person  \n",
       "        stocker                                    0.000000      woman  \n",
       "        supervisor                                 0.000000      woman  \n",
       "        taxi driver                                0.000000        man  \n",
       "        teacher                                    0.000000      woman  \n",
       "        teaching assistant                         0.000000      woman  \n",
       "        teller                                     0.000000      woman  \n",
       "        therapist                                  0.000000      woman  \n",
       "        tractor operator                           0.000000        man  \n",
       "        truck driver                               0.000000      woman  \n",
       "        tutor                                      0.000000      woman  \n",
       "        underwriter                                0.000000      woman  \n",
       "        veterinarian                               0.000000      woman  \n",
       "        waiter                                     0.000000        man  \n",
       "        waitress                                   0.000000      woman  \n",
       "        welder                                     0.000000        man  \n",
       "        wholesale buyer                            0.000000      woman  \n",
       "        writer                                     0.000000      woman  "
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_vqa_gender_max = pd.concat([mf_captions,gender_vqa], axis=1)\n",
    "all_vqa_gender_max.head(450)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "990ea7fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_vqa_gender_max.to_csv('top_vqa_gender.csv')"
   ]
  }
 ],
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