diff --git "a/data_01_027/cluster_entropy_analysis.ipynb" "b/data_01_027/cluster_entropy_analysis.ipynb"
--- "a/data_01_027/cluster_entropy_analysis.ipynb"
+++ "b/data_01_027/cluster_entropy_analysis.ipynb"
@@ -2,21 +2,24 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 95,
    "id": "3d93276e-d83e-48b7-95be-aaaa89244ef9",
    "metadata": {},
    "outputs": [],
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
-    "import json\n",
     "import scipy\n",
-    "from itertools import chain"
+    "\n",
+    "import json\n",
+    "import re\n",
+    "from itertools import chain\n",
+    "from collections import Counter"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 156,
    "id": "f57c50ca-3581-4412-a160-774f998ce9df",
    "metadata": {},
    "outputs": [],
@@ -33,17 +36,82 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 158,
+   "id": "50727b12-9dcb-4f31-b914-801bcd721949",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def reduce_full_to_ethnicity_model(d):\n",
+    "    c = Counter()\n",
+    "    for k,v in d['labels_full']:\n",
+    "        k_without_gender = re.split(\"woman|man|person|non-binary\",k)\n",
+    "        k_without_gender = ''.join(k_without_gender)\n",
+    "        k_without_gender = k_without_gender.strip().replace(\"  \", \" \")\n",
+    "        c[k_without_gender] = v\n",
+    "    return [[k,v] for k,v in c.items()]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "id": "63830bef-085f-4847-b51a-b4157351a1a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def reduce_full_to_gender_model(d):\n",
+    "    c = Counter()\n",
+    "    for k,v in d['labels_full']:\n",
+    "        k_without_ethnicity = re.split(\"(woman|man|person|non-binary)\", k)\n",
+    "        k_without_ethnicity = ''.join(k_without_ethnicity[1:])\n",
+    "        k_without_ethnicity = k_without_ethnicity.strip().replace(\"  \", \" \")\n",
+    "        c[k_without_ethnicity] = v\n",
+    "    return [[k,v] for k,v in c.items()]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "id": "7edad0d1-3d6d-406e-87ef-a0a8c185a53f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def reduce_full_to_ethnicity_gender(d):\n",
+    "    c = Counter()\n",
+    "    for k,v in d['labels_full']:\n",
+    "        k_without_model = re.split(\"(woman|man|person|non-binary)\", k)\n",
+    "        k_without_model = ''.join(k_without_model[:2])\n",
+    "        k_without_model = k_without_model.strip().replace(\"  \", \" \")\n",
+    "        c[k_without_model] = v\n",
+    "    return [[k,v] for k,v in c.items()]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "id": "da978f3b-8f94-4d1b-bae2-f3bb4e9986b4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for cluster_dicts in [d_12, d_24, d_48]:\n",
+    "    for d in cluster_dicts:\n",
+    "        d[\"labels_ethnicity_model\"] = reduce_full_to_ethnicity_model(d)\n",
+    "        d[\"labels_gender_model\"] = reduce_full_to_gender_model(d)\n",
+    "        d[\"labels_ethnicity_gender\"] = reduce_full_to_ethnicity_gender(d)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
    "id": "dcab249b-8c66-464f-a41c-a9ae5ab3ad71",
    "metadata": {},
    "outputs": [],
    "source": [
-    "# p(cluster | ethnicity, model)\n",
-    "# p(cluster | gender, model)\n",
+    "# p(cluster | ethnicity, model) DONE\n",
+    "# p(cluster | gender, model) DONE\n",
     "# p(cluster | gender, ethnicity, model) DONE\n",
     "# p(cluster | ethnicity) DONE\n",
     "# p(cluster | gender) DONE\n",
-    "# p(cluster | gender, ethnicity)\n",
+    "# p(cluster | gender, ethnicity) DONE\n",
     "# p(cluster | model) ADDED, DONE"
    ]
   },
@@ -144,7 +212,13 @@
    "cell_type": "code",
    "execution_count": 53,
    "id": "0bfc516f-53e0-4f41-bd46-7375913840d6",
-   "metadata": {},
+   "metadata": {
+    "collapsed": true,
+    "jupyter": {
+     "outputs_hidden": true
+    },
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
@@ -616,444 +690,426 @@
    "id": "a2dd2700-3a18-446b-883a-d7efaba9df43",
    "metadata": {},
    "source": [
-    "# Ethnicities per Model"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "id": "da76139a-01f4-4b48-89e1-6c13fd9b6950",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[['South Asian woman DallE', 10],\n",
-       " ['South Asian woman SD_14', 10],\n",
-       " ['South Asian woman SD_2', 10],\n",
-       " ['East Asian woman SD_14', 10],\n",
-       " ['East Asian woman DallE', 10],\n",
-       " ['Southeast Asian woman SD_2', 10],\n",
-       " ['Southeast Asian woman SD_14', 9],\n",
-       " ['East Asian woman SD_2', 9],\n",
-       " ['South Asian non-binary SD_2', 8],\n",
-       " ['American Indian woman DallE', 6],\n",
-       " ['Indigenous American woman DallE', 6],\n",
-       " ['South Asian non-binary SD_14', 6],\n",
-       " ['East Asian person SD_14', 6],\n",
-       " ['South Asian non-binary DallE', 5],\n",
-       " ['Pacific Islander woman SD_14', 5],\n",
-       " ['Indigenous American non-binary SD_2', 4],\n",
-       " ['Pacific Islander non-binary DallE', 4],\n",
-       " ['Hispanic non-binary DallE', 4],\n",
-       " ['First Nations non-binary DallE', 4],\n",
-       " ['Indigenous American non-binary DallE', 4],\n",
-       " ['Native American woman DallE', 4],\n",
-       " ['Pacific Islander person SD_14', 4],\n",
-       " ['Pacific Islander woman DallE', 3],\n",
-       " ['Pacific Islander woman SD_2', 3],\n",
-       " ['Hispanic non-binary SD_14', 3],\n",
-       " ['First Nations woman DallE', 3],\n",
-       " ['Latino non-binary SD_2', 3],\n",
-       " ['Latinx non-binary SD_2', 3],\n",
-       " ['Hispanic non-binary SD_2', 3],\n",
-       " ['East Asian person SD_2', 3],\n",
-       " ['Latinx non-binary SD_14', 2],\n",
-       " ['Latinx person DallE', 2],\n",
-       " ['South Asian person SD_14', 2],\n",
-       " ['Latino non-binary DallE', 2],\n",
-       " ['Multiracial non-binary DallE', 2],\n",
-       " ['Pacific Islander non-binary SD_2', 2],\n",
-       " ['Southeast Asian non-binary DallE', 2],\n",
-       " ['Hispanic woman SD_14', 2],\n",
-       " ['Latinx person SD_2', 2],\n",
-       " ['Native American non-binary DallE', 2],\n",
-       " ['Southeast Asian woman DallE', 2],\n",
-       " ['East Asian non-binary SD_2', 2],\n",
-       " ['Native American non-binary SD_2', 1],\n",
-       " ['Hispanic woman DallE', 1],\n",
-       " ['Latino woman DallE', 1],\n",
-       " ['African-American non-binary SD_14', 1],\n",
-       " ['Multiracial woman DallE', 1],\n",
-       " ['Multiracial non-binary SD_14', 1],\n",
-       " ['Indigenous American non-binary SD_14', 1],\n",
-       " ['Native American person DallE', 1],\n",
-       " ['American Indian non-binary DallE', 1],\n",
-       " ['Southeast Asian person SD_14', 1],\n",
-       " ['Pacific Islander non-binary SD_14', 1],\n",
-       " ['Latinx woman SD_14', 1],\n",
-       " ['White woman SD_14', 1],\n",
-       " ['Latinx woman SD_2', 1],\n",
-       " ['Hispanic woman SD_2', 1],\n",
-       " ['White woman SD_2', 1],\n",
-       " ['woman SD_2', 1],\n",
-       " ['First Nations non-binary SD_2', 1],\n",
-       " ['American Indian non-binary SD_2', 1],\n",
-       " ['Latino woman SD_14', 1],\n",
-       " ['East Asian non-binary SD_14', 1],\n",
-       " ['East Asian person DallE', 1],\n",
-       " ['Indigenous American person DallE', 1]]"
-      ]
-     },
-     "execution_count": 87,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "d_12[0]['labels_full']"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "014b36e8-9a21-4ceb-81b0-ce93a384ddbb",
-   "metadata": {},
-   "source": [
-    "# Genders"
+    "# Ethnicities X Model"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
-   "id": "6633a33e-e9a9-48cf-ada7-76f2221b43fe",
+   "execution_count": 128,
+   "id": "95a27f11-db32-448f-9712-6b6f18457515",
    "metadata": {},
    "outputs": [],
    "source": [
     "entropies = []\n",
+    "random_entropies = []\n",
     "for cluster_dicts in [d_12, d_24, d_48]:\n",
     "    entropy = dict()\n",
+    "    random_entropy = dict()\n",
     "    n_clusters = len(cluster_dicts)\n",
-    "    all_genders = [list(dict(d['labels_gender']).keys()) for d in cluster_dicts]\n",
-    "    all_genders = list(set(chain(*all_genders)))\n",
-    "    for gender in all_genders:\n",
+    "    all_ethnicities_models = [list(dict(d['labels_ethnicity_model']).keys()) for d in cluster_dicts]\n",
+    "    all_ethnicities_models = list(set(chain(*all_ethnicities_models)))\n",
+    "    for ethnicity_model in all_ethnicities_models:\n",
     "        h = []\n",
     "        for i in cluster_dicts:\n",
-    "            h.append(dict(i['labels_gender']).get(gender, 0))\n",
+    "            h.append(dict(i['labels_ethnicity_model']).get(ethnicity_model, 0))\n",
     "        h = np.array(h)\n",
-    "        entropy[gender] = scipy.stats.entropy(h / sum(h), base=2)\n",
+    "        r = np.ones_like(h)\n",
+    "        entropy[ethnicity_model] = scipy.stats.entropy(h / sum(h), base=2)\n",
     "    entropies.append(entropy)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
-   "id": "abedb706-dfca-416f-af6a-c9e59f48215e",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[{'woman': 2.4810719655716675,\n",
-       "  'man': 2.7334846800371837,\n",
-       "  'person': 3.2367086062758728,\n",
-       "  'non-binary': 2.820571495642662},\n",
-       " {'woman': 3.175925805050219,\n",
-       "  'man': 3.6256634564832084,\n",
-       "  'person': 4.1229292987043635,\n",
-       "  'non-binary': 3.7329829916387802},\n",
-       " {'woman': 4.424803401742995,\n",
-       "  'man': 4.422651789402228,\n",
-       "  'person': 4.812137497942508,\n",
-       "  'non-binary': 4.421094043509409}]"
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "entropies"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 60,
-   "id": "d06e10c5-d6f0-412f-bba7-5583796ac98b",
+   "execution_count": 130,
+   "id": "6a1f1689-e59b-408b-8886-a42113fb6faa",
    "metadata": {},
    "outputs": [
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        "</style>\n",
-       "<table id=\"T_c9935\">\n",
+       "<table id=\"T_bd27b\">\n",
        "  <thead>\n",
        "    <tr>\n",
        "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_c9935_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "      <th id=\"T_bd27b_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_c9935_level0_row0\" class=\"row_heading level0 row0\" >person</th>\n",
-       "      <td id=\"T_c9935_row0_col0\" class=\"data row0 col0\" >3.24</td>\n",
+       "      <th id=\"T_bd27b_level0_row0\" class=\"row_heading level0 row0\" >Multiracial DallE</th>\n",
+       "      <td id=\"T_bd27b_row0_col0\" class=\"data row0 col0\" >2.92</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_c9935_level0_row1\" class=\"row_heading level0 row1\" >non-binary</th>\n",
-       "      <td id=\"T_c9935_row1_col0\" class=\"data row1 col0\" >2.82</td>\n",
+       "      <th id=\"T_bd27b_level0_row1\" class=\"row_heading level0 row1\" >Pacific Islander SD_2</th>\n",
+       "      <td id=\"T_bd27b_row1_col0\" class=\"data row1 col0\" >2.78</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_c9935_level0_row2\" class=\"row_heading level0 row2\" >man</th>\n",
-       "      <td id=\"T_c9935_row2_col0\" class=\"data row2 col0\" >2.73</td>\n",
+       "      <th id=\"T_bd27b_level0_row2\" class=\"row_heading level0 row2\" >Latinx SD_2</th>\n",
+       "      <td id=\"T_bd27b_row2_col0\" class=\"data row2 col0\" >2.76</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_c9935_level0_row3\" class=\"row_heading level0 row3\" >woman</th>\n",
-       "      <td id=\"T_c9935_row3_col0\" class=\"data row3 col0\" >2.48</td>\n",
+       "      <th id=\"T_bd27b_level0_row3\" class=\"row_heading level0 row3\" >Southeast Asian DallE</th>\n",
+       "      <td id=\"T_bd27b_row3_col0\" class=\"data row3 col0\" >2.75</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n"
-      ],
-      "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fc0d6fa35e0>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<style type=\"text/css\">\n",
-       "#T_66994_row0_col0 {\n",
-       "  background-color: #081d58;\n",
-       "  color: #f1f1f1;\n",
-       "}\n",
-       "#T_66994_row1_col0 {\n",
-       "  background-color: #172978;\n",
-       "  color: #f1f1f1;\n",
-       "}\n",
-       "#T_66994_row2_col0 {\n",
-       "  background-color: #1d2e83;\n",
-       "  color: #f1f1f1;\n",
-       "}\n",
-       "#T_66994_row3_col0 {\n",
-       "  background-color: #234fa1;\n",
-       "  color: #f1f1f1;\n",
-       "}\n",
-       "</style>\n",
-       "<table id=\"T_66994\">\n",
-       "  <thead>\n",
        "    <tr>\n",
-       "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_66994_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "      <th id=\"T_bd27b_level0_row4\" class=\"row_heading level0 row4\" >Multiracial SD_14</th>\n",
+       "      <td id=\"T_bd27b_row4_col0\" class=\"data row4 col0\" >2.72</td>\n",
        "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_66994_level0_row0\" class=\"row_heading level0 row0\" >person</th>\n",
-       "      <td id=\"T_66994_row0_col0\" class=\"data row0 col0\" >4.12</td>\n",
+       "      <th id=\"T_bd27b_level0_row5\" class=\"row_heading level0 row5\" >Latino SD_2</th>\n",
+       "      <td id=\"T_bd27b_row5_col0\" class=\"data row5 col0\" >2.69</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_66994_level0_row1\" class=\"row_heading level0 row1\" >non-binary</th>\n",
-       "      <td id=\"T_66994_row1_col0\" class=\"data row1 col0\" >3.73</td>\n",
+       "      <th id=\"T_bd27b_level0_row6\" class=\"row_heading level0 row6\" >Hispanic SD_2</th>\n",
+       "      <td id=\"T_bd27b_row6_col0\" class=\"data row6 col0\" >2.66</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_66994_level0_row2\" class=\"row_heading level0 row2\" >man</th>\n",
-       "      <td id=\"T_66994_row2_col0\" class=\"data row2 col0\" >3.63</td>\n",
+       "      <th id=\"T_bd27b_level0_row7\" class=\"row_heading level0 row7\" >Latinx DallE</th>\n",
+       "      <td id=\"T_bd27b_row7_col0\" class=\"data row7 col0\" >2.63</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_66994_level0_row3\" class=\"row_heading level0 row3\" >woman</th>\n",
-       "      <td id=\"T_66994_row3_col0\" class=\"data row3 col0\" >3.18</td>\n",
+       "      <th id=\"T_bd27b_level0_row8\" class=\"row_heading level0 row8\" >Latino DallE</th>\n",
+       "      <td id=\"T_bd27b_row8_col0\" class=\"data row8 col0\" >2.59</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n"
-      ],
-      "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fc0dcc61a30>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<style type=\"text/css\">\n",
-       "#T_cf06c_row0_col0, #T_cf06c_row1_col0, #T_cf06c_row2_col0, #T_cf06c_row3_col0 {\n",
-       "  background-color: #081d58;\n",
-       "  color: #f1f1f1;\n",
-       "}\n",
-       "</style>\n",
-       "<table id=\"T_cf06c\">\n",
-       "  <thead>\n",
        "    <tr>\n",
-       "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_cf06c_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "      <th id=\"T_bd27b_level0_row9\" class=\"row_heading level0 row9\" >First Nations DallE</th>\n",
+       "      <td id=\"T_bd27b_row9_col0\" class=\"data row9 col0\" >2.57</td>\n",
        "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_cf06c_level0_row0\" class=\"row_heading level0 row0\" >person</th>\n",
-       "      <td id=\"T_cf06c_row0_col0\" class=\"data row0 col0\" >4.81</td>\n",
+       "      <th id=\"T_bd27b_level0_row10\" class=\"row_heading level0 row10\" >Hispanic SD_14</th>\n",
+       "      <td id=\"T_bd27b_row10_col0\" class=\"data row10 col0\" >2.50</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cf06c_level0_row1\" class=\"row_heading level0 row1\" >woman</th>\n",
-       "      <td id=\"T_cf06c_row1_col0\" class=\"data row1 col0\" >4.42</td>\n",
+       "      <th id=\"T_bd27b_level0_row11\" class=\"row_heading level0 row11\" >Latino SD_14</th>\n",
+       "      <td id=\"T_bd27b_row11_col0\" class=\"data row11 col0\" >2.45</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cf06c_level0_row2\" class=\"row_heading level0 row2\" >man</th>\n",
-       "      <td id=\"T_cf06c_row2_col0\" class=\"data row2 col0\" >4.42</td>\n",
+       "      <th id=\"T_bd27b_level0_row12\" class=\"row_heading level0 row12\" >Caucasian SD_14</th>\n",
+       "      <td id=\"T_bd27b_row12_col0\" class=\"data row12 col0\" >2.44</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_cf06c_level0_row3\" class=\"row_heading level0 row3\" >non-binary</th>\n",
-       "      <td id=\"T_cf06c_row3_col0\" class=\"data row3 col0\" >4.42</td>\n",
+       "      <th id=\"T_bd27b_level0_row13\" class=\"row_heading level0 row13\" >Southeast Asian SD_14</th>\n",
+       "      <td id=\"T_bd27b_row13_col0\" class=\"data row13 col0\" >2.30</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n"
-      ],
-      "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fc0d6fa30d0>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "for d in entropies:\n",
-    "    df = pd.DataFrame(pd.Series(d), columns=[\"entropy\"])\n",
-    "    display(df.sort_values(\"entropy\", ascending=False).style.background_gradient(\n",
-    "    axis=None,\n",
-    "    vmin=0,\n",
-    "    vmax=4,\n",
-    "    cmap=\"YlGnBu\"\n",
-    ").format(precision=2))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "600e4ad8-d872-4e79-96d0-a843d232fe2e",
-   "metadata": {},
-   "source": [
-    "# Models"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "id": "c63fabe7-dadc-4945-b69f-f81d4a9a7ba6",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "entropies = []\n",
-    "for cluster_dicts in [d_12, d_24, d_48]:\n",
-    "    entropy = dict()\n",
-    "    n_clusters = len(cluster_dicts)\n",
-    "    all_models = [list(dict(d['labels_model']).keys()) for d in cluster_dicts]\n",
-    "    all_models = list(set(chain(*all_models)))\n",
-    "    for model in all_models:\n",
-    "        h = []\n",
-    "        for i in cluster_dicts:\n",
-    "            h.append(dict(i['labels_model']).get(model, 0))\n",
-    "        h = np.array(h)\n",
-    "        entropy[model] = scipy.stats.entropy(h / sum(h), base=2)\n",
-    "    entropies.append(entropy)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "id": "207c235e-7874-40b2-90e6-ec35bc789d0b",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<style type=\"text/css\">\n",
-       "#T_e12f5_row0_col0 {\n",
-       "  background-color: #253595;\n",
-       "  color: #f1f1f1;\n",
-       "}\n",
-       "#T_e12f5_row1_col0 {\n",
-       "  background-color: #243c98;\n",
-       "  color: #f1f1f1;\n",
-       "}\n",
-       "#T_e12f5_row2_col0 {\n",
-       "  background-color: #24419a;\n",
-       "  color: #f1f1f1;\n",
-       "}\n",
-       "</style>\n",
-       "<table id=\"T_e12f5\">\n",
-       "  <thead>\n",
        "    <tr>\n",
-       "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_e12f5_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "      <th id=\"T_bd27b_level0_row14\" class=\"row_heading level0 row14\" >Multiracial SD_2</th>\n",
+       "      <td id=\"T_bd27b_row14_col0\" class=\"data row14 col0\" >2.28</td>\n",
        "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_e12f5_level0_row0\" class=\"row_heading level0 row0\" >SD_2</th>\n",
-       "      <td id=\"T_e12f5_row0_col0\" class=\"data row0 col0\" >3.48</td>\n",
+       "      <th id=\"T_bd27b_level0_row15\" class=\"row_heading level0 row15\" >Pacific Islander DallE</th>\n",
+       "      <td id=\"T_bd27b_row15_col0\" class=\"data row15 col0\" >2.27</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_e12f5_level0_row1\" class=\"row_heading level0 row1\" >SD_14</th>\n",
-       "      <td id=\"T_e12f5_row1_col0\" class=\"data row1 col0\" >3.41</td>\n",
+       "      <th id=\"T_bd27b_level0_row16\" class=\"row_heading level0 row16\" >American Indian SD_2</th>\n",
+       "      <td id=\"T_bd27b_row16_col0\" class=\"data row16 col0\" >2.26</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_e12f5_level0_row2\" class=\"row_heading level0 row2\" >DallE</th>\n",
-       "      <td id=\"T_e12f5_row2_col0\" class=\"data row2 col0\" >3.33</td>\n",
+       "      <th id=\"T_bd27b_level0_row17\" class=\"row_heading level0 row17\" >Latinx SD_14</th>\n",
+       "      <td id=\"T_bd27b_row17_col0\" class=\"data row17 col0\" >2.22</td>\n",
        "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n"
-      ],
-      "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fc0d542d490>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<style type=\"text/css\">\n",
-       "#T_2282f_row0_col0, #T_2282f_row1_col0, #T_2282f_row2_col0 {\n",
-       "  background-color: #081d58;\n",
-       "  color: #f1f1f1;\n",
-       "}\n",
-       "</style>\n",
-       "<table id=\"T_2282f\">\n",
-       "  <thead>\n",
        "    <tr>\n",
-       "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_2282f_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "      <th id=\"T_bd27b_level0_row18\" class=\"row_heading level0 row18\" >Indigenous American DallE</th>\n",
+       "      <td id=\"T_bd27b_row18_col0\" class=\"data row18 col0\" >2.17</td>\n",
        "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
        "    <tr>\n",
-       "      <th id=\"T_2282f_level0_row0\" class=\"row_heading level0 row0\" >SD_2</th>\n",
-       "      <td id=\"T_2282f_row0_col0\" class=\"data row0 col0\" >4.31</td>\n",
+       "      <th id=\"T_bd27b_level0_row19\" class=\"row_heading level0 row19\" >SD_2</th>\n",
+       "      <td id=\"T_bd27b_row19_col0\" class=\"data row19 col0\" >2.16</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_2282f_level0_row1\" class=\"row_heading level0 row1\" >SD_14</th>\n",
-       "      <td id=\"T_2282f_row1_col0\" class=\"data row1 col0\" >4.15</td>\n",
+       "      <th id=\"T_bd27b_level0_row20\" class=\"row_heading level0 row20\" >White SD_14</th>\n",
+       "      <td id=\"T_bd27b_row20_col0\" class=\"data row20 col0\" >2.16</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th id=\"T_2282f_level0_row2\" class=\"row_heading level0 row2\" >DallE</th>\n",
-       "      <td id=\"T_2282f_row2_col0\" class=\"data row2 col0\" >4.12</td>\n",
+       "      <th id=\"T_bd27b_level0_row21\" class=\"row_heading level0 row21\" >Native American DallE</th>\n",
+       "      <td id=\"T_bd27b_row21_col0\" class=\"data row21 col0\" >2.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row22\" class=\"row_heading level0 row22\" >Hispanic DallE</th>\n",
+       "      <td id=\"T_bd27b_row22_col0\" class=\"data row22 col0\" >2.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row23\" class=\"row_heading level0 row23\" >Pacific Islander SD_14</th>\n",
+       "      <td id=\"T_bd27b_row23_col0\" class=\"data row23 col0\" >2.13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row24\" class=\"row_heading level0 row24\" >Indigenous American SD_2</th>\n",
+       "      <td id=\"T_bd27b_row24_col0\" class=\"data row24 col0\" >2.10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row25\" class=\"row_heading level0 row25\" >Native American SD_2</th>\n",
+       "      <td id=\"T_bd27b_row25_col0\" class=\"data row25 col0\" >2.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row26\" class=\"row_heading level0 row26\" >White SD_2</th>\n",
+       "      <td id=\"T_bd27b_row26_col0\" class=\"data row26 col0\" >2.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row27\" class=\"row_heading level0 row27\" >East Asian DallE</th>\n",
+       "      <td id=\"T_bd27b_row27_col0\" class=\"data row27 col0\" >1.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row28\" class=\"row_heading level0 row28\" >African-American SD_14</th>\n",
+       "      <td id=\"T_bd27b_row28_col0\" class=\"data row28 col0\" >1.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row29\" class=\"row_heading level0 row29\" >First Nations SD_2</th>\n",
+       "      <td id=\"T_bd27b_row29_col0\" class=\"data row29 col0\" >1.94</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row30\" class=\"row_heading level0 row30\" >Caucasian SD_2</th>\n",
+       "      <td id=\"T_bd27b_row30_col0\" class=\"data row30 col0\" >1.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row31\" class=\"row_heading level0 row31\" >American Indian DallE</th>\n",
+       "      <td id=\"T_bd27b_row31_col0\" class=\"data row31 col0\" >1.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row32\" class=\"row_heading level0 row32\" >Southeast Asian SD_2</th>\n",
+       "      <td id=\"T_bd27b_row32_col0\" class=\"data row32 col0\" >1.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row33\" class=\"row_heading level0 row33\" >SD_14</th>\n",
+       "      <td id=\"T_bd27b_row33_col0\" class=\"data row33 col0\" >1.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row34\" class=\"row_heading level0 row34\" >Caucasian DallE</th>\n",
+       "      <td id=\"T_bd27b_row34_col0\" class=\"data row34 col0\" >1.79</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row35\" class=\"row_heading level0 row35\" >First Nations SD_14</th>\n",
+       "      <td id=\"T_bd27b_row35_col0\" class=\"data row35 col0\" >1.78</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row36\" class=\"row_heading level0 row36\" >South Asian DallE</th>\n",
+       "      <td id=\"T_bd27b_row36_col0\" class=\"data row36 col0\" >1.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row37\" class=\"row_heading level0 row37\" >Indigenous American SD_14</th>\n",
+       "      <td id=\"T_bd27b_row37_col0\" class=\"data row37 col0\" >1.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row38\" class=\"row_heading level0 row38\" >White DallE</th>\n",
+       "      <td id=\"T_bd27b_row38_col0\" class=\"data row38 col0\" >1.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row39\" class=\"row_heading level0 row39\" >African-American DallE</th>\n",
+       "      <td id=\"T_bd27b_row39_col0\" class=\"data row39 col0\" >1.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row40\" class=\"row_heading level0 row40\" >Black DallE</th>\n",
+       "      <td id=\"T_bd27b_row40_col0\" class=\"data row40 col0\" >1.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row41\" class=\"row_heading level0 row41\" >East Asian SD_2</th>\n",
+       "      <td id=\"T_bd27b_row41_col0\" class=\"data row41 col0\" >1.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row42\" class=\"row_heading level0 row42\" >Black SD_14</th>\n",
+       "      <td id=\"T_bd27b_row42_col0\" class=\"data row42 col0\" >1.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row43\" class=\"row_heading level0 row43\" >South Asian SD_2</th>\n",
+       "      <td id=\"T_bd27b_row43_col0\" class=\"data row43 col0\" >1.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row44\" class=\"row_heading level0 row44\" >Black SD_2</th>\n",
+       "      <td id=\"T_bd27b_row44_col0\" class=\"data row44 col0\" >1.23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row45\" class=\"row_heading level0 row45\" >African-American SD_2</th>\n",
+       "      <td id=\"T_bd27b_row45_col0\" class=\"data row45 col0\" >1.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row46\" class=\"row_heading level0 row46\" >American Indian SD_14</th>\n",
+       "      <td id=\"T_bd27b_row46_col0\" class=\"data row46 col0\" >0.97</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row47\" class=\"row_heading level0 row47\" >South Asian SD_14</th>\n",
+       "      <td id=\"T_bd27b_row47_col0\" class=\"data row47 col0\" >0.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row48\" class=\"row_heading level0 row48\" >DallE</th>\n",
+       "      <td id=\"T_bd27b_row48_col0\" class=\"data row48 col0\" >0.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row49\" class=\"row_heading level0 row49\" >East Asian SD_14</th>\n",
+       "      <td id=\"T_bd27b_row49_col0\" class=\"data row49 col0\" >0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_bd27b_level0_row50\" class=\"row_heading level0 row50\" >Native American SD_14</th>\n",
+       "      <td id=\"T_bd27b_row50_col0\" class=\"data row50 col0\" >0.00</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n"
       ],
       "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fc0d542d490>"
+       "<pandas.io.formats.style.Styler at 0x7fc0d4c39520>"
       ]
      },
      "metadata": {},
@@ -1063,36 +1119,3105 @@
      "data": {
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-       "#T_0658a_row0_col0, #T_0658a_row1_col0, #T_0658a_row2_col0 {\n",
-       "  background-color: #081d58;\n",
+       "#T_db303_row0_col0 {\n",
+       "  background-color: #162874;\n",
        "  color: #f1f1f1;\n",
        "}\n",
-       "</style>\n",
-       "<table id=\"T_0658a\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th class=\"blank level0\" >&nbsp;</th>\n",
-       "      <th id=\"T_0658a_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th id=\"T_0658a_level0_row0\" class=\"row_heading level0 row0\" >SD_14</th>\n",
-       "      <td id=\"T_0658a_row0_col0\" class=\"data row0 col0\" >5.07</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_0658a_level0_row1\" class=\"row_heading level0 row1\" >SD_2</th>\n",
-       "      <td id=\"T_0658a_row1_col0\" class=\"data row1 col0\" >5.01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th id=\"T_0658a_level0_row2\" class=\"row_heading level0 row2\" >DallE</th>\n",
-       "      <td id=\"T_0658a_row2_col0\" class=\"data row2 col0\" >4.86</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n"
-      ],
-      "text/plain": [
-       "<pandas.io.formats.style.Styler at 0x7fc0dd357b50>"
+       "#T_db303_row1_col0 {\n",
+       "  background-color: #21308b;\n",
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+       "  background-color: #1f7ab5;\n",
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+       "#T_db303_row19_col0, #T_db303_row20_col0 {\n",
+       "  background-color: #1f7bb6;\n",
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+       "#T_db303_row22_col0 {\n",
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+       "#T_db303_row23_col0, #T_db303_row24_col0 {\n",
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+       "  background-color: #1d90c0;\n",
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+       "#T_db303_row30_col0, #T_db303_row31_col0 {\n",
+       "  background-color: #2195c0;\n",
+       "  color: #f1f1f1;\n",
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+       "  background-color: #2397c1;\n",
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+       "#T_db303_row33_col0 {\n",
+       "  background-color: #31a5c2;\n",
+       "  color: #f1f1f1;\n",
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+       "#T_db303_row34_col0 {\n",
+       "  background-color: #3aaec3;\n",
+       "  color: #f1f1f1;\n",
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+       "  background-color: #3cb1c3;\n",
+       "  color: #f1f1f1;\n",
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+       "#T_db303_row39_col0 {\n",
+       "  background-color: #57bec1;\n",
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+       "#T_db303_row40_col0 {\n",
+       "  background-color: #61c2bf;\n",
+       "  color: #000000;\n",
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+       "#T_db303_row41_col0 {\n",
+       "  background-color: #71c8bd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_db303_row42_col0 {\n",
+       "  background-color: #75c9bd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_db303_row43_col0 {\n",
+       "  background-color: #76cabc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_db303_row44_col0 {\n",
+       "  background-color: #7ecdbb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_db303_row45_col0, #T_db303_row46_col0 {\n",
+       "  background-color: #85cfba;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_db303_row47_col0 {\n",
+       "  background-color: #a0dab8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_db303_row48_col0 {\n",
+       "  background-color: #a2dbb8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_db303_row49_col0 {\n",
+       "  background-color: #ceecb3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_db303_row50_col0 {\n",
+       "  background-color: #eef8b3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_db303\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_db303_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row0\" class=\"row_heading level0 row0\" >Pacific Islander SD_2</th>\n",
+       "      <td id=\"T_db303_row0_col0\" class=\"data row0 col0\" >3.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row1\" class=\"row_heading level0 row1\" >Multiracial DallE</th>\n",
+       "      <td id=\"T_db303_row1_col0\" class=\"data row1 col0\" >3.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row2\" class=\"row_heading level0 row2\" >Southeast Asian DallE</th>\n",
+       "      <td id=\"T_db303_row2_col0\" class=\"data row2 col0\" >3.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row3\" class=\"row_heading level0 row3\" >Hispanic SD_14</th>\n",
+       "      <td id=\"T_db303_row3_col0\" class=\"data row3 col0\" >3.32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row4\" class=\"row_heading level0 row4\" >Latino DallE</th>\n",
+       "      <td id=\"T_db303_row4_col0\" class=\"data row4 col0\" >3.27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row5\" class=\"row_heading level0 row5\" >Latino SD_2</th>\n",
+       "      <td id=\"T_db303_row5_col0\" class=\"data row5 col0\" >3.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row6\" class=\"row_heading level0 row6\" >Latinx DallE</th>\n",
+       "      <td id=\"T_db303_row6_col0\" class=\"data row6 col0\" >3.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row7\" class=\"row_heading level0 row7\" >Native American SD_2</th>\n",
+       "      <td id=\"T_db303_row7_col0\" class=\"data row7 col0\" >3.09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row8\" class=\"row_heading level0 row8\" >Multiracial SD_14</th>\n",
+       "      <td id=\"T_db303_row8_col0\" class=\"data row8 col0\" >3.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row9\" class=\"row_heading level0 row9\" >First Nations DallE</th>\n",
+       "      <td id=\"T_db303_row9_col0\" class=\"data row9 col0\" >3.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row10\" class=\"row_heading level0 row10\" >Latinx SD_2</th>\n",
+       "      <td id=\"T_db303_row10_col0\" class=\"data row10 col0\" >2.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row11\" class=\"row_heading level0 row11\" >Native American DallE</th>\n",
+       "      <td id=\"T_db303_row11_col0\" class=\"data row11 col0\" >2.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row12\" class=\"row_heading level0 row12\" >American Indian SD_2</th>\n",
+       "      <td id=\"T_db303_row12_col0\" class=\"data row12 col0\" >2.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row13\" class=\"row_heading level0 row13\" >Latino SD_14</th>\n",
+       "      <td id=\"T_db303_row13_col0\" class=\"data row13 col0\" >2.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row14\" class=\"row_heading level0 row14\" >White SD_14</th>\n",
+       "      <td id=\"T_db303_row14_col0\" class=\"data row14 col0\" >2.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row15\" class=\"row_heading level0 row15\" >Caucasian SD_14</th>\n",
+       "      <td id=\"T_db303_row15_col0\" class=\"data row15 col0\" >2.84</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row16\" class=\"row_heading level0 row16\" >Hispanic SD_2</th>\n",
+       "      <td id=\"T_db303_row16_col0\" class=\"data row16 col0\" >2.80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row17\" class=\"row_heading level0 row17\" >SD_2</th>\n",
+       "      <td id=\"T_db303_row17_col0\" class=\"data row17 col0\" >2.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row18\" class=\"row_heading level0 row18\" >Latinx SD_14</th>\n",
+       "      <td id=\"T_db303_row18_col0\" class=\"data row18 col0\" >2.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row19\" class=\"row_heading level0 row19\" >Pacific Islander DallE</th>\n",
+       "      <td id=\"T_db303_row19_col0\" class=\"data row19 col0\" >2.71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row20\" class=\"row_heading level0 row20\" >Indigenous American SD_2</th>\n",
+       "      <td id=\"T_db303_row20_col0\" class=\"data row20 col0\" >2.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row21\" class=\"row_heading level0 row21\" >Multiracial SD_2</th>\n",
+       "      <td id=\"T_db303_row21_col0\" class=\"data row21 col0\" >2.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row22\" class=\"row_heading level0 row22\" >First Nations SD_14</th>\n",
+       "      <td id=\"T_db303_row22_col0\" class=\"data row22 col0\" >2.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row23\" class=\"row_heading level0 row23\" >Hispanic DallE</th>\n",
+       "      <td id=\"T_db303_row23_col0\" class=\"data row23 col0\" >2.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row24\" class=\"row_heading level0 row24\" >First Nations SD_2</th>\n",
+       "      <td id=\"T_db303_row24_col0\" class=\"data row24 col0\" >2.61</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row25\" class=\"row_heading level0 row25\" >Indigenous American DallE</th>\n",
+       "      <td id=\"T_db303_row25_col0\" class=\"data row25 col0\" >2.61</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row26\" class=\"row_heading level0 row26\" >Southeast Asian SD_14</th>\n",
+       "      <td id=\"T_db303_row26_col0\" class=\"data row26 col0\" >2.60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row27\" class=\"row_heading level0 row27\" >Caucasian SD_2</th>\n",
+       "      <td id=\"T_db303_row27_col0\" class=\"data row27 col0\" >2.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row28\" class=\"row_heading level0 row28\" >White SD_2</th>\n",
+       "      <td id=\"T_db303_row28_col0\" class=\"data row28 col0\" >2.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row29\" class=\"row_heading level0 row29\" >American Indian DallE</th>\n",
+       "      <td id=\"T_db303_row29_col0\" class=\"data row29 col0\" >2.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row30\" class=\"row_heading level0 row30\" >East Asian DallE</th>\n",
+       "      <td id=\"T_db303_row30_col0\" class=\"data row30 col0\" >2.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row31\" class=\"row_heading level0 row31\" >Indigenous American SD_14</th>\n",
+       "      <td id=\"T_db303_row31_col0\" class=\"data row31 col0\" >2.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row32\" class=\"row_heading level0 row32\" >Pacific Islander SD_14</th>\n",
+       "      <td id=\"T_db303_row32_col0\" class=\"data row32 col0\" >2.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row33\" class=\"row_heading level0 row33\" >African-American SD_14</th>\n",
+       "      <td id=\"T_db303_row33_col0\" class=\"data row33 col0\" >2.22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row34\" class=\"row_heading level0 row34\" >Southeast Asian SD_2</th>\n",
+       "      <td id=\"T_db303_row34_col0\" class=\"data row34 col0\" >2.11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row35\" class=\"row_heading level0 row35\" >Caucasian DallE</th>\n",
+       "      <td id=\"T_db303_row35_col0\" class=\"data row35 col0\" >2.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row36\" class=\"row_heading level0 row36\" >Black DallE</th>\n",
+       "      <td id=\"T_db303_row36_col0\" class=\"data row36 col0\" >2.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row37\" class=\"row_heading level0 row37\" >White DallE</th>\n",
+       "      <td id=\"T_db303_row37_col0\" class=\"data row37 col0\" >2.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row38\" class=\"row_heading level0 row38\" >SD_14</th>\n",
+       "      <td id=\"T_db303_row38_col0\" class=\"data row38 col0\" >1.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row39\" class=\"row_heading level0 row39\" >Black SD_14</th>\n",
+       "      <td id=\"T_db303_row39_col0\" class=\"data row39 col0\" >1.83</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row40\" class=\"row_heading level0 row40\" >South Asian DallE</th>\n",
+       "      <td id=\"T_db303_row40_col0\" class=\"data row40 col0\" >1.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row41\" class=\"row_heading level0 row41\" >Black SD_2</th>\n",
+       "      <td id=\"T_db303_row41_col0\" class=\"data row41 col0\" >1.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row42\" class=\"row_heading level0 row42\" >African-American DallE</th>\n",
+       "      <td id=\"T_db303_row42_col0\" class=\"data row42 col0\" >1.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row43\" class=\"row_heading level0 row43\" >American Indian SD_14</th>\n",
+       "      <td id=\"T_db303_row43_col0\" class=\"data row43 col0\" >1.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row44\" class=\"row_heading level0 row44\" >East Asian SD_2</th>\n",
+       "      <td id=\"T_db303_row44_col0\" class=\"data row44 col0\" >1.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row45\" class=\"row_heading level0 row45\" >African-American SD_2</th>\n",
+       "      <td id=\"T_db303_row45_col0\" class=\"data row45 col0\" >1.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row46\" class=\"row_heading level0 row46\" >South Asian SD_2</th>\n",
+       "      <td id=\"T_db303_row46_col0\" class=\"data row46 col0\" >1.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row47\" class=\"row_heading level0 row47\" >DallE</th>\n",
+       "      <td id=\"T_db303_row47_col0\" class=\"data row47 col0\" >1.28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row48\" class=\"row_heading level0 row48\" >East Asian SD_14</th>\n",
+       "      <td id=\"T_db303_row48_col0\" class=\"data row48 col0\" >1.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row49\" class=\"row_heading level0 row49\" >South Asian SD_14</th>\n",
+       "      <td id=\"T_db303_row49_col0\" class=\"data row49 col0\" >0.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_db303_level0_row50\" class=\"row_heading level0 row50\" >Native American SD_14</th>\n",
+       "      <td id=\"T_db303_row50_col0\" class=\"data row50 col0\" >0.47</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d53e4ac0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
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+     "data": {
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+       "  color: #f1f1f1;\n",
+       "}\n",
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+       "  background-color: #2ea3c2;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7625e_row43_col0 {\n",
+       "  background-color: #32a6c2;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7625e_row44_col0 {\n",
+       "  background-color: #34a9c3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7625e_row45_col0 {\n",
+       "  background-color: #44b7c4;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7625e_row46_col0 {\n",
+       "  background-color: #48b9c3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7625e_row47_col0 {\n",
+       "  background-color: #4ab9c3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7625e_row48_col0 {\n",
+       "  background-color: #67c4be;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_7625e_row49_col0, #T_7625e_row50_col0 {\n",
+       "  background-color: #6bc6be;\n",
+       "  color: #000000;\n",
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+       "</style>\n",
+       "<table id=\"T_7625e\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_7625e_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row0\" class=\"row_heading level0 row0\" >Multiracial DallE</th>\n",
+       "      <td id=\"T_7625e_row0_col0\" class=\"data row0 col0\" >3.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row1\" class=\"row_heading level0 row1\" >Pacific Islander SD_2</th>\n",
+       "      <td id=\"T_7625e_row1_col0\" class=\"data row1 col0\" >3.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row2\" class=\"row_heading level0 row2\" >Hispanic SD_14</th>\n",
+       "      <td id=\"T_7625e_row2_col0\" class=\"data row2 col0\" >3.86</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row3\" class=\"row_heading level0 row3\" >Native American DallE</th>\n",
+       "      <td id=\"T_7625e_row3_col0\" class=\"data row3 col0\" >3.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row4\" class=\"row_heading level0 row4\" >Latino SD_2</th>\n",
+       "      <td id=\"T_7625e_row4_col0\" class=\"data row4 col0\" >3.61</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row5\" class=\"row_heading level0 row5\" >First Nations DallE</th>\n",
+       "      <td id=\"T_7625e_row5_col0\" class=\"data row5 col0\" >3.61</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row6\" class=\"row_heading level0 row6\" >Pacific Islander DallE</th>\n",
+       "      <td id=\"T_7625e_row6_col0\" class=\"data row6 col0\" >3.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row7\" class=\"row_heading level0 row7\" >Latinx DallE</th>\n",
+       "      <td id=\"T_7625e_row7_col0\" class=\"data row7 col0\" >3.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row8\" class=\"row_heading level0 row8\" >Latinx SD_14</th>\n",
+       "      <td id=\"T_7625e_row8_col0\" class=\"data row8 col0\" >3.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row9\" class=\"row_heading level0 row9\" >Indigenous American DallE</th>\n",
+       "      <td id=\"T_7625e_row9_col0\" class=\"data row9 col0\" >3.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row10\" class=\"row_heading level0 row10\" >Southeast Asian DallE</th>\n",
+       "      <td id=\"T_7625e_row10_col0\" class=\"data row10 col0\" >3.35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row11\" class=\"row_heading level0 row11\" >Latino DallE</th>\n",
+       "      <td id=\"T_7625e_row11_col0\" class=\"data row11 col0\" >3.35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row12\" class=\"row_heading level0 row12\" >Pacific Islander SD_14</th>\n",
+       "      <td id=\"T_7625e_row12_col0\" class=\"data row12 col0\" >3.34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row13\" class=\"row_heading level0 row13\" >Latino SD_14</th>\n",
+       "      <td id=\"T_7625e_row13_col0\" class=\"data row13 col0\" >3.31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row14\" class=\"row_heading level0 row14\" >Hispanic SD_2</th>\n",
+       "      <td id=\"T_7625e_row14_col0\" class=\"data row14 col0\" >3.29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row15\" class=\"row_heading level0 row15\" >Native American SD_2</th>\n",
+       "      <td id=\"T_7625e_row15_col0\" class=\"data row15 col0\" >3.20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row16\" class=\"row_heading level0 row16\" >Multiracial SD_14</th>\n",
+       "      <td id=\"T_7625e_row16_col0\" class=\"data row16 col0\" >3.18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row17\" class=\"row_heading level0 row17\" >White SD_2</th>\n",
+       "      <td id=\"T_7625e_row17_col0\" class=\"data row17 col0\" >3.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row18\" class=\"row_heading level0 row18\" >American Indian SD_2</th>\n",
+       "      <td id=\"T_7625e_row18_col0\" class=\"data row18 col0\" >3.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row19\" class=\"row_heading level0 row19\" >Caucasian SD_14</th>\n",
+       "      <td id=\"T_7625e_row19_col0\" class=\"data row19 col0\" >3.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row20\" class=\"row_heading level0 row20\" >American Indian DallE</th>\n",
+       "      <td id=\"T_7625e_row20_col0\" class=\"data row20 col0\" >3.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row21\" class=\"row_heading level0 row21\" >White SD_14</th>\n",
+       "      <td id=\"T_7625e_row21_col0\" class=\"data row21 col0\" >3.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row22\" class=\"row_heading level0 row22\" >First Nations SD_14</th>\n",
+       "      <td id=\"T_7625e_row22_col0\" class=\"data row22 col0\" >3.03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row23\" class=\"row_heading level0 row23\" >Latinx SD_2</th>\n",
+       "      <td id=\"T_7625e_row23_col0\" class=\"data row23 col0\" >2.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row24\" class=\"row_heading level0 row24\" >Multiracial SD_2</th>\n",
+       "      <td id=\"T_7625e_row24_col0\" class=\"data row24 col0\" >2.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row25\" class=\"row_heading level0 row25\" >Indigenous American SD_14</th>\n",
+       "      <td id=\"T_7625e_row25_col0\" class=\"data row25 col0\" >2.97</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row26\" class=\"row_heading level0 row26\" >Indigenous American SD_2</th>\n",
+       "      <td id=\"T_7625e_row26_col0\" class=\"data row26 col0\" >2.97</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row27\" class=\"row_heading level0 row27\" >SD_2</th>\n",
+       "      <td id=\"T_7625e_row27_col0\" class=\"data row27 col0\" >2.97</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row28\" class=\"row_heading level0 row28\" >SD_14</th>\n",
+       "      <td id=\"T_7625e_row28_col0\" class=\"data row28 col0\" >2.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row29\" class=\"row_heading level0 row29\" >Hispanic DallE</th>\n",
+       "      <td id=\"T_7625e_row29_col0\" class=\"data row29 col0\" >2.80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row30\" class=\"row_heading level0 row30\" >Caucasian SD_2</th>\n",
+       "      <td id=\"T_7625e_row30_col0\" class=\"data row30 col0\" >2.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row31\" class=\"row_heading level0 row31\" >First Nations SD_2</th>\n",
+       "      <td id=\"T_7625e_row31_col0\" class=\"data row31 col0\" >2.71</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row32\" class=\"row_heading level0 row32\" >African-American SD_14</th>\n",
+       "      <td id=\"T_7625e_row32_col0\" class=\"data row32 col0\" >2.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row33\" class=\"row_heading level0 row33\" >American Indian SD_14</th>\n",
+       "      <td id=\"T_7625e_row33_col0\" class=\"data row33 col0\" >2.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row34\" class=\"row_heading level0 row34\" >East Asian DallE</th>\n",
+       "      <td id=\"T_7625e_row34_col0\" class=\"data row34 col0\" >2.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row35\" class=\"row_heading level0 row35\" >African-American DallE</th>\n",
+       "      <td id=\"T_7625e_row35_col0\" class=\"data row35 col0\" >2.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row36\" class=\"row_heading level0 row36\" >South Asian DallE</th>\n",
+       "      <td id=\"T_7625e_row36_col0\" class=\"data row36 col0\" >2.40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row37\" class=\"row_heading level0 row37\" >White DallE</th>\n",
+       "      <td id=\"T_7625e_row37_col0\" class=\"data row37 col0\" >2.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row38\" class=\"row_heading level0 row38\" >Southeast Asian SD_14</th>\n",
+       "      <td id=\"T_7625e_row38_col0\" class=\"data row38 col0\" >2.35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row39\" class=\"row_heading level0 row39\" >Black SD_14</th>\n",
+       "      <td id=\"T_7625e_row39_col0\" class=\"data row39 col0\" >2.28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row40\" class=\"row_heading level0 row40\" >Black SD_2</th>\n",
+       "      <td id=\"T_7625e_row40_col0\" class=\"data row40 col0\" >2.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row41\" class=\"row_heading level0 row41\" >Southeast Asian SD_2</th>\n",
+       "      <td id=\"T_7625e_row41_col0\" class=\"data row41 col0\" >2.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row42\" class=\"row_heading level0 row42\" >Black DallE</th>\n",
+       "      <td id=\"T_7625e_row42_col0\" class=\"data row42 col0\" >2.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row43\" class=\"row_heading level0 row43\" >Caucasian DallE</th>\n",
+       "      <td id=\"T_7625e_row43_col0\" class=\"data row43 col0\" >2.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row44\" class=\"row_heading level0 row44\" >African-American SD_2</th>\n",
+       "      <td id=\"T_7625e_row44_col0\" class=\"data row44 col0\" >2.18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row45\" class=\"row_heading level0 row45\" >Native American SD_14</th>\n",
+       "      <td id=\"T_7625e_row45_col0\" class=\"data row45 col0\" >1.97</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row46\" class=\"row_heading level0 row46\" >DallE</th>\n",
+       "      <td id=\"T_7625e_row46_col0\" class=\"data row46 col0\" >1.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row47\" class=\"row_heading level0 row47\" >East Asian SD_2</th>\n",
+       "      <td id=\"T_7625e_row47_col0\" class=\"data row47 col0\" >1.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row48\" class=\"row_heading level0 row48\" >South Asian SD_2</th>\n",
+       "      <td id=\"T_7625e_row48_col0\" class=\"data row48 col0\" >1.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row49\" class=\"row_heading level0 row49\" >South Asian SD_14</th>\n",
+       "      <td id=\"T_7625e_row49_col0\" class=\"data row49 col0\" >1.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7625e_level0_row50\" class=\"row_heading level0 row50\" >East Asian SD_14</th>\n",
+       "      <td id=\"T_7625e_row50_col0\" class=\"data row50 col0\" >1.66</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0dd339700>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for d in entropies:\n",
+    "    df = pd.DataFrame(pd.Series(d), columns=[\"entropy\"])\n",
+    "    display(df.sort_values(\"entropy\", ascending=False).style.background_gradient(\n",
+    "    axis=None,\n",
+    "    vmin=0,\n",
+    "    vmax=4,\n",
+    "    cmap=\"YlGnBu\"\n",
+    ").format(precision=2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "014b36e8-9a21-4ceb-81b0-ce93a384ddbb",
+   "metadata": {},
+   "source": [
+    "# Genders"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "6633a33e-e9a9-48cf-ada7-76f2221b43fe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "entropies = []\n",
+    "for cluster_dicts in [d_12, d_24, d_48]:\n",
+    "    entropy = dict()\n",
+    "    n_clusters = len(cluster_dicts)\n",
+    "    all_genders = [list(dict(d['labels_gender']).keys()) for d in cluster_dicts]\n",
+    "    all_genders = list(set(chain(*all_genders)))\n",
+    "    for gender in all_genders:\n",
+    "        h = []\n",
+    "        for i in cluster_dicts:\n",
+    "            h.append(dict(i['labels_gender']).get(gender, 0))\n",
+    "        h = np.array(h)\n",
+    "        entropy[gender] = scipy.stats.entropy(h / sum(h), base=2)\n",
+    "    entropies.append(entropy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "abedb706-dfca-416f-af6a-c9e59f48215e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'woman': 2.4810719655716675,\n",
+       "  'man': 2.7334846800371837,\n",
+       "  'person': 3.2367086062758728,\n",
+       "  'non-binary': 2.820571495642662},\n",
+       " {'woman': 3.175925805050219,\n",
+       "  'man': 3.6256634564832084,\n",
+       "  'person': 4.1229292987043635,\n",
+       "  'non-binary': 3.7329829916387802},\n",
+       " {'woman': 4.424803401742995,\n",
+       "  'man': 4.422651789402228,\n",
+       "  'person': 4.812137497942508,\n",
+       "  'non-binary': 4.421094043509409}]"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "entropies"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "d06e10c5-d6f0-412f-bba7-5583796ac98b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_c9935_row0_col0 {\n",
+       "  background-color: #23499e;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_c9935_row1_col0 {\n",
+       "  background-color: #2070b0;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_c9935_row2_col0 {\n",
+       "  background-color: #1f7ab5;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_c9935_row3_col0 {\n",
+       "  background-color: #1f93c0;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_c9935\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_c9935_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_c9935_level0_row0\" class=\"row_heading level0 row0\" >person</th>\n",
+       "      <td id=\"T_c9935_row0_col0\" class=\"data row0 col0\" >3.24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_c9935_level0_row1\" class=\"row_heading level0 row1\" >non-binary</th>\n",
+       "      <td id=\"T_c9935_row1_col0\" class=\"data row1 col0\" >2.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_c9935_level0_row2\" class=\"row_heading level0 row2\" >man</th>\n",
+       "      <td id=\"T_c9935_row2_col0\" class=\"data row2 col0\" >2.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_c9935_level0_row3\" class=\"row_heading level0 row3\" >woman</th>\n",
+       "      <td id=\"T_c9935_row3_col0\" class=\"data row3 col0\" >2.48</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d6fa35e0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_66994_row0_col0 {\n",
+       "  background-color: #081d58;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_66994_row1_col0 {\n",
+       "  background-color: #172978;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_66994_row2_col0 {\n",
+       "  background-color: #1d2e83;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_66994_row3_col0 {\n",
+       "  background-color: #234fa1;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_66994\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_66994_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_66994_level0_row0\" class=\"row_heading level0 row0\" >person</th>\n",
+       "      <td id=\"T_66994_row0_col0\" class=\"data row0 col0\" >4.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_66994_level0_row1\" class=\"row_heading level0 row1\" >non-binary</th>\n",
+       "      <td id=\"T_66994_row1_col0\" class=\"data row1 col0\" >3.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_66994_level0_row2\" class=\"row_heading level0 row2\" >man</th>\n",
+       "      <td id=\"T_66994_row2_col0\" class=\"data row2 col0\" >3.63</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_66994_level0_row3\" class=\"row_heading level0 row3\" >woman</th>\n",
+       "      <td id=\"T_66994_row3_col0\" class=\"data row3 col0\" >3.18</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0dcc61a30>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_cf06c_row0_col0, #T_cf06c_row1_col0, #T_cf06c_row2_col0, #T_cf06c_row3_col0 {\n",
+       "  background-color: #081d58;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_cf06c\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_cf06c_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cf06c_level0_row0\" class=\"row_heading level0 row0\" >person</th>\n",
+       "      <td id=\"T_cf06c_row0_col0\" class=\"data row0 col0\" >4.81</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cf06c_level0_row1\" class=\"row_heading level0 row1\" >woman</th>\n",
+       "      <td id=\"T_cf06c_row1_col0\" class=\"data row1 col0\" >4.42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cf06c_level0_row2\" class=\"row_heading level0 row2\" >man</th>\n",
+       "      <td id=\"T_cf06c_row2_col0\" class=\"data row2 col0\" >4.42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_cf06c_level0_row3\" class=\"row_heading level0 row3\" >non-binary</th>\n",
+       "      <td id=\"T_cf06c_row3_col0\" class=\"data row3 col0\" >4.42</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d6fa30d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for d in entropies:\n",
+    "    df = pd.DataFrame(pd.Series(d), columns=[\"entropy\"])\n",
+    "    display(df.sort_values(\"entropy\", ascending=False).style.background_gradient(\n",
+    "    axis=None,\n",
+    "    vmin=0,\n",
+    "    vmax=4,\n",
+    "    cmap=\"YlGnBu\"\n",
+    ").format(precision=2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "600e4ad8-d872-4e79-96d0-a843d232fe2e",
+   "metadata": {},
+   "source": [
+    "# Models"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "c63fabe7-dadc-4945-b69f-f81d4a9a7ba6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "entropies = []\n",
+    "for cluster_dicts in [d_12, d_24, d_48]:\n",
+    "    entropy = dict()\n",
+    "    n_clusters = len(cluster_dicts)\n",
+    "    all_models = [list(dict(d['labels_model']).keys()) for d in cluster_dicts]\n",
+    "    all_models = list(set(chain(*all_models)))\n",
+    "    for model in all_models:\n",
+    "        h = []\n",
+    "        for i in cluster_dicts:\n",
+    "            h.append(dict(i['labels_model']).get(model, 0))\n",
+    "        h = np.array(h)\n",
+    "        entropy[model] = scipy.stats.entropy(h / sum(h), base=2)\n",
+    "    entropies.append(entropy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "207c235e-7874-40b2-90e6-ec35bc789d0b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_e12f5_row0_col0 {\n",
+       "  background-color: #253595;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e12f5_row1_col0 {\n",
+       "  background-color: #243c98;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e12f5_row2_col0 {\n",
+       "  background-color: #24419a;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_e12f5\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_e12f5_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e12f5_level0_row0\" class=\"row_heading level0 row0\" >SD_2</th>\n",
+       "      <td id=\"T_e12f5_row0_col0\" class=\"data row0 col0\" >3.48</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e12f5_level0_row1\" class=\"row_heading level0 row1\" >SD_14</th>\n",
+       "      <td id=\"T_e12f5_row1_col0\" class=\"data row1 col0\" >3.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e12f5_level0_row2\" class=\"row_heading level0 row2\" >DallE</th>\n",
+       "      <td id=\"T_e12f5_row2_col0\" class=\"data row2 col0\" >3.33</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d542d490>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_2282f_row0_col0, #T_2282f_row1_col0, #T_2282f_row2_col0 {\n",
+       "  background-color: #081d58;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_2282f\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_2282f_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_2282f_level0_row0\" class=\"row_heading level0 row0\" >SD_2</th>\n",
+       "      <td id=\"T_2282f_row0_col0\" class=\"data row0 col0\" >4.31</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_2282f_level0_row1\" class=\"row_heading level0 row1\" >SD_14</th>\n",
+       "      <td id=\"T_2282f_row1_col0\" class=\"data row1 col0\" >4.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_2282f_level0_row2\" class=\"row_heading level0 row2\" >DallE</th>\n",
+       "      <td id=\"T_2282f_row2_col0\" class=\"data row2 col0\" >4.12</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d542d490>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_0658a_row0_col0, #T_0658a_row1_col0, #T_0658a_row2_col0 {\n",
+       "  background-color: #081d58;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_0658a\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_0658a_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_0658a_level0_row0\" class=\"row_heading level0 row0\" >SD_14</th>\n",
+       "      <td id=\"T_0658a_row0_col0\" class=\"data row0 col0\" >5.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_0658a_level0_row1\" class=\"row_heading level0 row1\" >SD_2</th>\n",
+       "      <td id=\"T_0658a_row1_col0\" class=\"data row1 col0\" >5.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_0658a_level0_row2\" class=\"row_heading level0 row2\" >DallE</th>\n",
+       "      <td id=\"T_0658a_row2_col0\" class=\"data row2 col0\" >4.86</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0dd357b50>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for d in entropies:\n",
+    "    df = pd.DataFrame(pd.Series(d), columns=[\"entropy\"])\n",
+    "    display(df.sort_values(\"entropy\", ascending=False).style.background_gradient(\n",
+    "    axis=None,\n",
+    "    vmin=0,\n",
+    "    vmax=4,\n",
+    "    cmap=\"YlGnBu\"\n",
+    ").format(precision=2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66d9c1b9-9bce-4428-9149-b3782202cea5",
+   "metadata": {},
+   "source": [
+    "# Gender X Model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "id": "db5a4a11-8dbf-4178-b6fb-3ed28d779003",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "entropies = []\n",
+    "random_entropies = []\n",
+    "for cluster_dicts in [d_12, d_24, d_48]:\n",
+    "    entropy = dict()\n",
+    "    random_entropy = dict()\n",
+    "    n_clusters = len(cluster_dicts)\n",
+    "    all_genders_models = [list(dict(d['labels_gender_model']).keys()) for d in cluster_dicts]\n",
+    "    all_genders_models = list(set(chain(*all_genders_models)))\n",
+    "    for gender_model in all_genders_models:\n",
+    "        h = []\n",
+    "        for i in cluster_dicts:\n",
+    "            h.append(dict(i['labels_gender_model']).get(gender_model, 0))\n",
+    "        h = np.array(h)\n",
+    "        r = np.ones_like(h)\n",
+    "        entropy[gender_model] = scipy.stats.entropy(h / sum(h), base=2)\n",
+    "    entropies.append(entropy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "id": "08617661-f71b-4ebd-837c-feae2c7b4bff",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_8c7af_row0_col0 {\n",
+       "  background-color: #24439b;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row1_col0 {\n",
+       "  background-color: #23499e;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row2_col0 {\n",
+       "  background-color: #234c9f;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row3_col0 {\n",
+       "  background-color: #2350a1;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row4_col0 {\n",
+       "  background-color: #225da8;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row5_col0 {\n",
+       "  background-color: #1f80b8;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row6_col0 {\n",
+       "  background-color: #1f82b9;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row7_col0 {\n",
+       "  background-color: #1e8bbd;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row8_col0 {\n",
+       "  background-color: #1d8ebf;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row9_col0 {\n",
+       "  background-color: #2094c0;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row10_col0 {\n",
+       "  background-color: #2498c1;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_8c7af_row11_col0 {\n",
+       "  background-color: #3bb0c3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_8c7af\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_8c7af_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row0\" class=\"row_heading level0 row0\" >person SD_14</th>\n",
+       "      <td id=\"T_8c7af_row0_col0\" class=\"data row0 col0\" >3.32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row1\" class=\"row_heading level0 row1\" >non-binary DallE</th>\n",
+       "      <td id=\"T_8c7af_row1_col0\" class=\"data row1 col0\" >3.24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row2\" class=\"row_heading level0 row2\" >person SD_2</th>\n",
+       "      <td id=\"T_8c7af_row2_col0\" class=\"data row2 col0\" >3.20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row3\" class=\"row_heading level0 row3\" >non-binary SD_14</th>\n",
+       "      <td id=\"T_8c7af_row3_col0\" class=\"data row3 col0\" >3.17</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row4\" class=\"row_heading level0 row4\" >non-binary SD_2</th>\n",
+       "      <td id=\"T_8c7af_row4_col0\" class=\"data row4 col0\" >3.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row5\" class=\"row_heading level0 row5\" >woman DallE</th>\n",
+       "      <td id=\"T_8c7af_row5_col0\" class=\"data row5 col0\" >2.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row6\" class=\"row_heading level0 row6\" >person DallE</th>\n",
+       "      <td id=\"T_8c7af_row6_col0\" class=\"data row6 col0\" >2.65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row7\" class=\"row_heading level0 row7\" >man SD_2</th>\n",
+       "      <td id=\"T_8c7af_row7_col0\" class=\"data row7 col0\" >2.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row8\" class=\"row_heading level0 row8\" >woman SD_14</th>\n",
+       "      <td id=\"T_8c7af_row8_col0\" class=\"data row8 col0\" >2.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row9\" class=\"row_heading level0 row9\" >man SD_14</th>\n",
+       "      <td id=\"T_8c7af_row9_col0\" class=\"data row9 col0\" >2.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row10\" class=\"row_heading level0 row10\" >man DallE</th>\n",
+       "      <td id=\"T_8c7af_row10_col0\" class=\"data row10 col0\" >2.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_8c7af_level0_row11\" class=\"row_heading level0 row11\" >woman SD_2</th>\n",
+       "      <td id=\"T_8c7af_row11_col0\" class=\"data row11 col0\" >2.09</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d4bd7a60>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_e13be_row0_col0 {\n",
+       "  background-color: #081d58;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row1_col0, #T_e13be_row2_col0 {\n",
+       "  background-color: #0d2163;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row3_col0 {\n",
+       "  background-color: #152772;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row4_col0 {\n",
+       "  background-color: #172978;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row5_col0 {\n",
+       "  background-color: #253795;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row6_col0 {\n",
+       "  background-color: #24419a;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row7_col0 {\n",
+       "  background-color: #24489d;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row8_col0 {\n",
+       "  background-color: #2351a2;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row9_col0 {\n",
+       "  background-color: #2356a4;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row10_col0 {\n",
+       "  background-color: #216aad;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_e13be_row11_col0 {\n",
+       "  background-color: #1f82b9;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_e13be\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_e13be_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row0\" class=\"row_heading level0 row0\" >non-binary SD_14</th>\n",
+       "      <td id=\"T_e13be_row0_col0\" class=\"data row0 col0\" >4.24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row1\" class=\"row_heading level0 row1\" >person SD_2</th>\n",
+       "      <td id=\"T_e13be_row1_col0\" class=\"data row1 col0\" >3.90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row2\" class=\"row_heading level0 row2\" >person SD_14</th>\n",
+       "      <td id=\"T_e13be_row2_col0\" class=\"data row2 col0\" >3.90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row3\" class=\"row_heading level0 row3\" >non-binary SD_2</th>\n",
+       "      <td id=\"T_e13be_row3_col0\" class=\"data row3 col0\" >3.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row4\" class=\"row_heading level0 row4\" >non-binary DallE</th>\n",
+       "      <td id=\"T_e13be_row4_col0\" class=\"data row4 col0\" >3.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row5\" class=\"row_heading level0 row5\" >person DallE</th>\n",
+       "      <td id=\"T_e13be_row5_col0\" class=\"data row5 col0\" >3.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row6\" class=\"row_heading level0 row6\" >woman DallE</th>\n",
+       "      <td id=\"T_e13be_row6_col0\" class=\"data row6 col0\" >3.34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row7\" class=\"row_heading level0 row7\" >woman SD_14</th>\n",
+       "      <td id=\"T_e13be_row7_col0\" class=\"data row7 col0\" >3.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row8\" class=\"row_heading level0 row8\" >man SD_14</th>\n",
+       "      <td id=\"T_e13be_row8_col0\" class=\"data row8 col0\" >3.15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row9\" class=\"row_heading level0 row9\" >man SD_2</th>\n",
+       "      <td id=\"T_e13be_row9_col0\" class=\"data row9 col0\" >3.08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row10\" class=\"row_heading level0 row10\" >man DallE</th>\n",
+       "      <td id=\"T_e13be_row10_col0\" class=\"data row10 col0\" >2.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_e13be_level0_row11\" class=\"row_heading level0 row11\" >woman SD_2</th>\n",
+       "      <td id=\"T_e13be_row11_col0\" class=\"data row11 col0\" >2.64</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d4bd9fd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_7ece3_row0_col0, #T_7ece3_row1_col0, #T_7ece3_row2_col0, #T_7ece3_row3_col0, #T_7ece3_row4_col0 {\n",
+       "  background-color: #081d58;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7ece3_row5_col0, #T_7ece3_row6_col0 {\n",
+       "  background-color: #0a1e5c;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7ece3_row7_col0 {\n",
+       "  background-color: #0e2265;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7ece3_row8_col0 {\n",
+       "  background-color: #102369;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7ece3_row9_col0 {\n",
+       "  background-color: #172978;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7ece3_row10_col0 {\n",
+       "  background-color: #192b7c;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_7ece3_row11_col0 {\n",
+       "  background-color: #253595;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_7ece3\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_7ece3_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row0\" class=\"row_heading level0 row0\" >person SD_14</th>\n",
+       "      <td id=\"T_7ece3_row0_col0\" class=\"data row0 col0\" >4.79</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row1\" class=\"row_heading level0 row1\" >non-binary SD_14</th>\n",
+       "      <td id=\"T_7ece3_row1_col0\" class=\"data row1 col0\" >4.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row2\" class=\"row_heading level0 row2\" >non-binary DallE</th>\n",
+       "      <td id=\"T_7ece3_row2_col0\" class=\"data row2 col0\" >4.32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row3\" class=\"row_heading level0 row3\" >person SD_2</th>\n",
+       "      <td id=\"T_7ece3_row3_col0\" class=\"data row3 col0\" >4.32</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row4\" class=\"row_heading level0 row4\" >person DallE</th>\n",
+       "      <td id=\"T_7ece3_row4_col0\" class=\"data row4 col0\" >4.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row5\" class=\"row_heading level0 row5\" >woman DallE</th>\n",
+       "      <td id=\"T_7ece3_row5_col0\" class=\"data row5 col0\" >3.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row6\" class=\"row_heading level0 row6\" >non-binary SD_2</th>\n",
+       "      <td id=\"T_7ece3_row6_col0\" class=\"data row6 col0\" >3.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row7\" class=\"row_heading level0 row7\" >woman SD_14</th>\n",
+       "      <td id=\"T_7ece3_row7_col0\" class=\"data row7 col0\" >3.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row8\" class=\"row_heading level0 row8\" >man SD_14</th>\n",
+       "      <td id=\"T_7ece3_row8_col0\" class=\"data row8 col0\" >3.86</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row9\" class=\"row_heading level0 row9\" >man SD_2</th>\n",
+       "      <td id=\"T_7ece3_row9_col0\" class=\"data row9 col0\" >3.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row10\" class=\"row_heading level0 row10\" >man DallE</th>\n",
+       "      <td id=\"T_7ece3_row10_col0\" class=\"data row10 col0\" >3.69</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_7ece3_level0_row11\" class=\"row_heading level0 row11\" >woman SD_2</th>\n",
+       "      <td id=\"T_7ece3_row11_col0\" class=\"data row11 col0\" >3.48</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d4bd70a0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for d in entropies:\n",
+    "    df = pd.DataFrame(pd.Series(d), columns=[\"entropy\"])\n",
+    "    display(df.sort_values(\"entropy\", ascending=False).style.background_gradient(\n",
+    "    axis=None,\n",
+    "    vmin=0,\n",
+    "    vmax=4,\n",
+    "    cmap=\"YlGnBu\"\n",
+    ").format(precision=2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "45455786-7a17-440f-a82e-bd8e1663fdb0",
+   "metadata": {},
+   "source": [
+    "# Ethnicity X Gender"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "id": "9f622b73-82f6-427c-a411-ccec7ca8dd70",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "entropies = []\n",
+    "random_entropies = []\n",
+    "for cluster_dicts in [d_12, d_24, d_48]:\n",
+    "    entropy = dict()\n",
+    "    random_entropy = dict()\n",
+    "    n_clusters = len(cluster_dicts)\n",
+    "    all_ethnicities_genders = [list(dict(d['labels_ethnicity_gender']).keys()) for d in cluster_dicts]\n",
+    "    all_ethnicities_genders = list(set(chain(*all_ethnicities_genders)))\n",
+    "    for ethnicity_gender in all_ethnicities_genders:\n",
+    "        h = []\n",
+    "        for i in cluster_dicts:\n",
+    "            h.append(dict(i['labels_ethnicity_gender']).get(ethnicity_gender, 0))\n",
+    "        h = np.array(h)\n",
+    "        r = np.ones_like(h)\n",
+    "        entropy[ethnicity_gender] = scipy.stats.entropy(h / sum(h), base=2)\n",
+    "    entropies.append(entropy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "id": "a3844662-2a7c-49d0-972f-6f41a342c7c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style type=\"text/css\">\n",
+       "#T_deb52_row0_col0 {\n",
+       "  background-color: #2076b3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row1_col0 {\n",
+       "  background-color: #1e86bb;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row2_col0 {\n",
+       "  background-color: #1d8ebf;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row3_col0 {\n",
+       "  background-color: #1d90c0;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row4_col0 {\n",
+       "  background-color: #269bc1;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row5_col0 {\n",
+       "  background-color: #2ea3c2;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row6_col0, #T_deb52_row7_col0 {\n",
+       "  background-color: #2fa4c2;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row8_col0 {\n",
+       "  background-color: #31a5c2;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row9_col0 {\n",
+       "  background-color: #34a9c3;\n",
+       "  color: #f1f1f1;\n",
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+       "#T_deb52_row10_col0 {\n",
+       "  background-color: #35aac3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row11_col0, #T_deb52_row12_col0 {\n",
+       "  background-color: #36abc3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row13_col0 {\n",
+       "  background-color: #3aaec3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row14_col0 {\n",
+       "  background-color: #3bb0c3;\n",
+       "  color: #f1f1f1;\n",
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+       "#T_deb52_row15_col0, #T_deb52_row16_col0 {\n",
+       "  background-color: #3cb1c3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row17_col0 {\n",
+       "  background-color: #3db2c4;\n",
+       "  color: #f1f1f1;\n",
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+       "  background-color: #3eb3c4;\n",
+       "  color: #f1f1f1;\n",
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+       "#T_deb52_row20_col0 {\n",
+       "  background-color: #48b9c3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_deb52_row21_col0, #T_deb52_row22_col0 {\n",
+       "  background-color: #50bbc2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row23_col0, #T_deb52_row24_col0 {\n",
+       "  background-color: #52bcc2;\n",
+       "  color: #000000;\n",
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+       "#T_deb52_row25_col0 {\n",
+       "  background-color: #57bec1;\n",
+       "  color: #000000;\n",
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+       "#T_deb52_row26_col0 {\n",
+       "  background-color: #5dc0c0;\n",
+       "  color: #000000;\n",
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+       "#T_deb52_row27_col0, #T_deb52_row28_col0 {\n",
+       "  background-color: #5fc1c0;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row29_col0 {\n",
+       "  background-color: #61c2bf;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row30_col0, #T_deb52_row31_col0 {\n",
+       "  background-color: #6bc6be;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row32_col0 {\n",
+       "  background-color: #6fc7bd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row33_col0, #T_deb52_row34_col0 {\n",
+       "  background-color: #71c8bd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row35_col0 {\n",
+       "  background-color: #75c9bd;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row36_col0, #T_deb52_row37_col0 {\n",
+       "  background-color: #78cbbc;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row38_col0 {\n",
+       "  background-color: #7cccbb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row39_col0 {\n",
+       "  background-color: #7ecdbb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row40_col0, #T_deb52_row41_col0 {\n",
+       "  background-color: #80cebb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row42_col0 {\n",
+       "  background-color: #83cebb;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row43_col0, #T_deb52_row44_col0 {\n",
+       "  background-color: #87d0ba;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row45_col0, #T_deb52_row46_col0 {\n",
+       "  background-color: #90d4b9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row47_col0, #T_deb52_row48_col0, #T_deb52_row49_col0 {\n",
+       "  background-color: #92d5b9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row50_col0 {\n",
+       "  background-color: #9ed9b8;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row51_col0 {\n",
+       "  background-color: #b0e0b6;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row52_col0 {\n",
+       "  background-color: #b9e4b5;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row53_col0, #T_deb52_row54_col0 {\n",
+       "  background-color: #cdebb4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row55_col0 {\n",
+       "  background-color: #d0edb3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row56_col0, #T_deb52_row57_col0, #T_deb52_row58_col0 {\n",
+       "  background-color: #dcf1b2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row59_col0, #T_deb52_row60_col0, #T_deb52_row61_col0, #T_deb52_row62_col0 {\n",
+       "  background-color: #eef8b3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_deb52_row63_col0, #T_deb52_row64_col0, #T_deb52_row65_col0, #T_deb52_row66_col0 {\n",
+       "  background-color: #ffffd9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_deb52\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_deb52_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row0\" class=\"row_heading level0 row0\" >Southeast Asian non-binary</th>\n",
+       "      <td id=\"T_deb52_row0_col0\" class=\"data row0 col0\" >2.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row1\" class=\"row_heading level0 row1\" >Hispanic non-binary</th>\n",
+       "      <td id=\"T_deb52_row1_col0\" class=\"data row1 col0\" >2.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row2\" class=\"row_heading level0 row2\" >Latino non-binary</th>\n",
+       "      <td id=\"T_deb52_row2_col0\" class=\"data row2 col0\" >2.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row3\" class=\"row_heading level0 row3\" >Latinx person</th>\n",
+       "      <td id=\"T_deb52_row3_col0\" class=\"data row3 col0\" >2.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row4\" class=\"row_heading level0 row4\" >Pacific Islander person</th>\n",
+       "      <td id=\"T_deb52_row4_col0\" class=\"data row4 col0\" >2.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row5\" class=\"row_heading level0 row5\" >Multiracial woman</th>\n",
+       "      <td id=\"T_deb52_row5_col0\" class=\"data row5 col0\" >2.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row6\" class=\"row_heading level0 row6\" >American Indian non-binary</th>\n",
+       "      <td id=\"T_deb52_row6_col0\" class=\"data row6 col0\" >2.24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row7\" class=\"row_heading level0 row7\" >Native American non-binary</th>\n",
+       "      <td id=\"T_deb52_row7_col0\" class=\"data row7 col0\" >2.24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row8\" class=\"row_heading level0 row8\" >African-American non-binary</th>\n",
+       "      <td id=\"T_deb52_row8_col0\" class=\"data row8 col0\" >2.22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row9\" class=\"row_heading level0 row9\" >Latinx non-binary</th>\n",
+       "      <td id=\"T_deb52_row9_col0\" class=\"data row9 col0\" >2.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row10\" class=\"row_heading level0 row10\" >Pacific Islander woman</th>\n",
+       "      <td id=\"T_deb52_row10_col0\" class=\"data row10 col0\" >2.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row11\" class=\"row_heading level0 row11\" >Multiracial non-binary</th>\n",
+       "      <td id=\"T_deb52_row11_col0\" class=\"data row11 col0\" >2.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row12\" class=\"row_heading level0 row12\" >Pacific Islander man</th>\n",
+       "      <td id=\"T_deb52_row12_col0\" class=\"data row12 col0\" >2.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row13\" class=\"row_heading level0 row13\" >First Nations woman</th>\n",
+       "      <td id=\"T_deb52_row13_col0\" class=\"data row13 col0\" >2.10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row14\" class=\"row_heading level0 row14\" >Latino person</th>\n",
+       "      <td id=\"T_deb52_row14_col0\" class=\"data row14 col0\" >2.09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row15\" class=\"row_heading level0 row15\" >Hispanic person</th>\n",
+       "      <td id=\"T_deb52_row15_col0\" class=\"data row15 col0\" >2.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row16\" class=\"row_heading level0 row16\" >First Nations person</th>\n",
+       "      <td id=\"T_deb52_row16_col0\" class=\"data row16 col0\" >2.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row17\" class=\"row_heading level0 row17\" >Indigenous American non-binary</th>\n",
+       "      <td id=\"T_deb52_row17_col0\" class=\"data row17 col0\" >2.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row18\" class=\"row_heading level0 row18\" >Multiracial person</th>\n",
+       "      <td id=\"T_deb52_row18_col0\" class=\"data row18 col0\" >2.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row19\" class=\"row_heading level0 row19\" >woman</th>\n",
+       "      <td id=\"T_deb52_row19_col0\" class=\"data row19 col0\" >2.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row20\" class=\"row_heading level0 row20\" >First Nations non-binary</th>\n",
+       "      <td id=\"T_deb52_row20_col0\" class=\"data row20 col0\" >1.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row21\" class=\"row_heading level0 row21\" >Indigenous American person</th>\n",
+       "      <td id=\"T_deb52_row21_col0\" class=\"data row21 col0\" >1.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row22\" class=\"row_heading level0 row22\" >White person</th>\n",
+       "      <td id=\"T_deb52_row22_col0\" class=\"data row22 col0\" >1.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row23\" class=\"row_heading level0 row23\" >Pacific Islander non-binary</th>\n",
+       "      <td id=\"T_deb52_row23_col0\" class=\"data row23 col0\" >1.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row24\" class=\"row_heading level0 row24\" >person</th>\n",
+       "      <td id=\"T_deb52_row24_col0\" class=\"data row24 col0\" >1.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row25\" class=\"row_heading level0 row25\" >Native American person</th>\n",
+       "      <td id=\"T_deb52_row25_col0\" class=\"data row25 col0\" >1.83</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row26\" class=\"row_heading level0 row26\" >Latino woman</th>\n",
+       "      <td id=\"T_deb52_row26_col0\" class=\"data row26 col0\" >1.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row27\" class=\"row_heading level0 row27\" >Indigenous American woman</th>\n",
+       "      <td id=\"T_deb52_row27_col0\" class=\"data row27 col0\" >1.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row28\" class=\"row_heading level0 row28\" >Southeast Asian woman</th>\n",
+       "      <td id=\"T_deb52_row28_col0\" class=\"data row28 col0\" >1.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row29\" class=\"row_heading level0 row29\" >White woman</th>\n",
+       "      <td id=\"T_deb52_row29_col0\" class=\"data row29 col0\" >1.74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row30\" class=\"row_heading level0 row30\" >Latinx man</th>\n",
+       "      <td id=\"T_deb52_row30_col0\" class=\"data row30 col0\" >1.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row31\" class=\"row_heading level0 row31\" >Caucasian non-binary</th>\n",
+       "      <td id=\"T_deb52_row31_col0\" class=\"data row31 col0\" >1.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row32\" class=\"row_heading level0 row32\" >Black person</th>\n",
+       "      <td id=\"T_deb52_row32_col0\" class=\"data row32 col0\" >1.63</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row33\" class=\"row_heading level0 row33\" >Latino man</th>\n",
+       "      <td id=\"T_deb52_row33_col0\" class=\"data row33 col0\" >1.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row34\" class=\"row_heading level0 row34\" >Caucasian woman</th>\n",
+       "      <td id=\"T_deb52_row34_col0\" class=\"data row34 col0\" >1.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row35\" class=\"row_heading level0 row35\" >Native American woman</th>\n",
+       "      <td id=\"T_deb52_row35_col0\" class=\"data row35 col0\" >1.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row36\" class=\"row_heading level0 row36\" >American Indian man</th>\n",
+       "      <td id=\"T_deb52_row36_col0\" class=\"data row36 col0\" >1.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row37\" class=\"row_heading level0 row37\" >American Indian woman</th>\n",
+       "      <td id=\"T_deb52_row37_col0\" class=\"data row37 col0\" >1.56</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row38\" class=\"row_heading level0 row38\" >American Indian person</th>\n",
+       "      <td id=\"T_deb52_row38_col0\" class=\"data row38 col0\" >1.53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row39\" class=\"row_heading level0 row39\" >Native American man</th>\n",
+       "      <td id=\"T_deb52_row39_col0\" class=\"data row39 col0\" >1.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row40\" class=\"row_heading level0 row40\" >South Asian non-binary</th>\n",
+       "      <td id=\"T_deb52_row40_col0\" class=\"data row40 col0\" >1.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row41\" class=\"row_heading level0 row41\" >Hispanic man</th>\n",
+       "      <td id=\"T_deb52_row41_col0\" class=\"data row41 col0\" >1.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row42\" class=\"row_heading level0 row42\" >Southeast Asian person</th>\n",
+       "      <td id=\"T_deb52_row42_col0\" class=\"data row42 col0\" >1.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row43\" class=\"row_heading level0 row43\" >East Asian non-binary</th>\n",
+       "      <td id=\"T_deb52_row43_col0\" class=\"data row43 col0\" >1.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row44\" class=\"row_heading level0 row44\" >Multiracial man</th>\n",
+       "      <td id=\"T_deb52_row44_col0\" class=\"data row44 col0\" >1.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row45\" class=\"row_heading level0 row45\" >Black non-binary</th>\n",
+       "      <td id=\"T_deb52_row45_col0\" class=\"data row45 col0\" >1.38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row46\" class=\"row_heading level0 row46\" >East Asian person</th>\n",
+       "      <td id=\"T_deb52_row46_col0\" class=\"data row46 col0\" >1.38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row47\" class=\"row_heading level0 row47\" >White non-binary</th>\n",
+       "      <td id=\"T_deb52_row47_col0\" class=\"data row47 col0\" >1.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row48\" class=\"row_heading level0 row48\" >First Nations man</th>\n",
+       "      <td id=\"T_deb52_row48_col0\" class=\"data row48 col0\" >1.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row49\" class=\"row_heading level0 row49\" >Indigenous American man</th>\n",
+       "      <td id=\"T_deb52_row49_col0\" class=\"data row49 col0\" >1.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row50\" class=\"row_heading level0 row50\" >Caucasian person</th>\n",
+       "      <td id=\"T_deb52_row50_col0\" class=\"data row50 col0\" >1.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row51\" class=\"row_heading level0 row51\" >Caucasian man</th>\n",
+       "      <td id=\"T_deb52_row51_col0\" class=\"data row51 col0\" >1.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row52\" class=\"row_heading level0 row52\" >Latinx woman</th>\n",
+       "      <td id=\"T_deb52_row52_col0\" class=\"data row52 col0\" >1.10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row53\" class=\"row_heading level0 row53\" >Hispanic woman</th>\n",
+       "      <td id=\"T_deb52_row53_col0\" class=\"data row53 col0\" >0.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row54\" class=\"row_heading level0 row54\" >Southeast Asian man</th>\n",
+       "      <td id=\"T_deb52_row54_col0\" class=\"data row54 col0\" >0.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row55\" class=\"row_heading level0 row55\" >Black woman</th>\n",
+       "      <td id=\"T_deb52_row55_col0\" class=\"data row55 col0\" >0.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row56\" class=\"row_heading level0 row56\" >African-American person</th>\n",
+       "      <td id=\"T_deb52_row56_col0\" class=\"data row56 col0\" >0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row57\" class=\"row_heading level0 row57\" >South Asian person</th>\n",
+       "      <td id=\"T_deb52_row57_col0\" class=\"data row57 col0\" >0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row58\" class=\"row_heading level0 row58\" >East Asian man</th>\n",
+       "      <td id=\"T_deb52_row58_col0\" class=\"data row58 col0\" >0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row59\" class=\"row_heading level0 row59\" >East Asian woman</th>\n",
+       "      <td id=\"T_deb52_row59_col0\" class=\"data row59 col0\" >0.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row60\" class=\"row_heading level0 row60\" >White man</th>\n",
+       "      <td id=\"T_deb52_row60_col0\" class=\"data row60 col0\" >0.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row61\" class=\"row_heading level0 row61\" >South Asian man</th>\n",
+       "      <td id=\"T_deb52_row61_col0\" class=\"data row61 col0\" >0.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row62\" class=\"row_heading level0 row62\" >man</th>\n",
+       "      <td id=\"T_deb52_row62_col0\" class=\"data row62 col0\" >0.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row63\" class=\"row_heading level0 row63\" >African-American woman</th>\n",
+       "      <td id=\"T_deb52_row63_col0\" class=\"data row63 col0\" >0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row64\" class=\"row_heading level0 row64\" >South Asian woman</th>\n",
+       "      <td id=\"T_deb52_row64_col0\" class=\"data row64 col0\" >0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row65\" class=\"row_heading level0 row65\" >Black man</th>\n",
+       "      <td id=\"T_deb52_row65_col0\" class=\"data row65 col0\" >0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_deb52_level0_row66\" class=\"row_heading level0 row66\" >African-American man</th>\n",
+       "      <td id=\"T_deb52_row66_col0\" class=\"data row66 col0\" >0.00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d4be14c0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
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+       "  background-color: #2ea3c2;\n",
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+       "  background-color: #42b6c4;\n",
+       "  color: #f1f1f1;\n",
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+       "  background-color: #44b7c4;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_5658b_row44_col0 {\n",
+       "  background-color: #46b8c3;\n",
+       "  color: #f1f1f1;\n",
+       "}\n",
+       "#T_5658b_row45_col0 {\n",
+       "  background-color: #52bcc2;\n",
+       "  color: #000000;\n",
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+       "#T_5658b_row46_col0 {\n",
+       "  background-color: #53bdc1;\n",
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+       "  background-color: #5fc1c0;\n",
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+       "  background-color: #69c5be;\n",
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+       "  background-color: #83cebb;\n",
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+       "#T_5658b_row52_col0 {\n",
+       "  background-color: #90d4b9;\n",
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+       "#T_5658b_row53_col0 {\n",
+       "  background-color: #95d5b9;\n",
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+       "#T_5658b_row54_col0 {\n",
+       "  background-color: #b9e4b5;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_5658b_row55_col0 {\n",
+       "  background-color: #caeab4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_5658b_row56_col0, #T_5658b_row57_col0 {\n",
+       "  background-color: #cdebb4;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_5658b_row58_col0 {\n",
+       "  background-color: #d0edb3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_5658b_row59_col0, #T_5658b_row60_col0 {\n",
+       "  background-color: #d1edb3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_5658b_row61_col0 {\n",
+       "  background-color: #dcf1b2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_5658b_row62_col0 {\n",
+       "  background-color: #e2f4b2;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_5658b_row63_col0, #T_5658b_row64_col0 {\n",
+       "  background-color: #eef8b3;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "#T_5658b_row65_col0, #T_5658b_row66_col0 {\n",
+       "  background-color: #ffffd9;\n",
+       "  color: #000000;\n",
+       "}\n",
+       "</style>\n",
+       "<table id=\"T_5658b\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_5658b_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row0\" class=\"row_heading level0 row0\" >Southeast Asian non-binary</th>\n",
+       "      <td id=\"T_5658b_row0_col0\" class=\"data row0 col0\" >3.38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row1\" class=\"row_heading level0 row1\" >Latino non-binary</th>\n",
+       "      <td id=\"T_5658b_row1_col0\" class=\"data row1 col0\" >3.12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row2\" class=\"row_heading level0 row2\" >Pacific Islander non-binary</th>\n",
+       "      <td id=\"T_5658b_row2_col0\" class=\"data row2 col0\" >3.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row3\" class=\"row_heading level0 row3\" >First Nations non-binary</th>\n",
+       "      <td id=\"T_5658b_row3_col0\" class=\"data row3 col0\" >3.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row4\" class=\"row_heading level0 row4\" >Hispanic non-binary</th>\n",
+       "      <td id=\"T_5658b_row4_col0\" class=\"data row4 col0\" >3.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row5\" class=\"row_heading level0 row5\" >Latinx person</th>\n",
+       "      <td id=\"T_5658b_row5_col0\" class=\"data row5 col0\" >2.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row6\" class=\"row_heading level0 row6\" >Indigenous American non-binary</th>\n",
+       "      <td id=\"T_5658b_row6_col0\" class=\"data row6 col0\" >2.79</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row7\" class=\"row_heading level0 row7\" >First Nations person</th>\n",
+       "      <td id=\"T_5658b_row7_col0\" class=\"data row7 col0\" >2.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row8\" class=\"row_heading level0 row8\" >Pacific Islander person</th>\n",
+       "      <td id=\"T_5658b_row8_col0\" class=\"data row8 col0\" >2.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row9\" class=\"row_heading level0 row9\" >Multiracial non-binary</th>\n",
+       "      <td id=\"T_5658b_row9_col0\" class=\"data row9 col0\" >2.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row10\" class=\"row_heading level0 row10\" >First Nations woman</th>\n",
+       "      <td id=\"T_5658b_row10_col0\" class=\"data row10 col0\" >2.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row11\" class=\"row_heading level0 row11\" >Pacific Islander woman</th>\n",
+       "      <td id=\"T_5658b_row11_col0\" class=\"data row11 col0\" >2.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row12\" class=\"row_heading level0 row12\" >Latinx non-binary</th>\n",
+       "      <td id=\"T_5658b_row12_col0\" class=\"data row12 col0\" >2.60</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row13\" class=\"row_heading level0 row13\" >Pacific Islander man</th>\n",
+       "      <td id=\"T_5658b_row13_col0\" class=\"data row13 col0\" >2.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row14\" class=\"row_heading level0 row14\" >Multiracial person</th>\n",
+       "      <td id=\"T_5658b_row14_col0\" class=\"data row14 col0\" >2.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row15\" class=\"row_heading level0 row15\" >Native American person</th>\n",
+       "      <td id=\"T_5658b_row15_col0\" class=\"data row15 col0\" >2.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row16\" class=\"row_heading level0 row16\" >Multiracial woman</th>\n",
+       "      <td id=\"T_5658b_row16_col0\" class=\"data row16 col0\" >2.52</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row17\" class=\"row_heading level0 row17\" >Latinx man</th>\n",
+       "      <td id=\"T_5658b_row17_col0\" class=\"data row17 col0\" >2.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row18\" class=\"row_heading level0 row18\" >American Indian non-binary</th>\n",
+       "      <td id=\"T_5658b_row18_col0\" class=\"data row18 col0\" >2.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row19\" class=\"row_heading level0 row19\" >Indigenous American person</th>\n",
+       "      <td id=\"T_5658b_row19_col0\" class=\"data row19 col0\" >2.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row20\" class=\"row_heading level0 row20\" >Latino woman</th>\n",
+       "      <td id=\"T_5658b_row20_col0\" class=\"data row20 col0\" >2.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row21\" class=\"row_heading level0 row21\" >Multiracial man</th>\n",
+       "      <td id=\"T_5658b_row21_col0\" class=\"data row21 col0\" >2.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row22\" class=\"row_heading level0 row22\" >Southeast Asian woman</th>\n",
+       "      <td id=\"T_5658b_row22_col0\" class=\"data row22 col0\" >2.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row23\" class=\"row_heading level0 row23\" >person</th>\n",
+       "      <td id=\"T_5658b_row23_col0\" class=\"data row23 col0\" >2.42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row24\" class=\"row_heading level0 row24\" >woman</th>\n",
+       "      <td id=\"T_5658b_row24_col0\" class=\"data row24 col0\" >2.37</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row25\" class=\"row_heading level0 row25\" >Native American non-binary</th>\n",
+       "      <td id=\"T_5658b_row25_col0\" class=\"data row25 col0\" >2.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row26\" class=\"row_heading level0 row26\" >American Indian person</th>\n",
+       "      <td id=\"T_5658b_row26_col0\" class=\"data row26 col0\" >2.34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row27\" class=\"row_heading level0 row27\" >Hispanic person</th>\n",
+       "      <td id=\"T_5658b_row27_col0\" class=\"data row27 col0\" >2.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row28\" class=\"row_heading level0 row28\" >American Indian man</th>\n",
+       "      <td id=\"T_5658b_row28_col0\" class=\"data row28 col0\" >2.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row29\" class=\"row_heading level0 row29\" >Caucasian non-binary</th>\n",
+       "      <td id=\"T_5658b_row29_col0\" class=\"data row29 col0\" >2.29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row30\" class=\"row_heading level0 row30\" >Latino man</th>\n",
+       "      <td id=\"T_5658b_row30_col0\" class=\"data row30 col0\" >2.28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row31\" class=\"row_heading level0 row31\" >Native American man</th>\n",
+       "      <td id=\"T_5658b_row31_col0\" class=\"data row31 col0\" >2.28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row32\" class=\"row_heading level0 row32\" >Latino person</th>\n",
+       "      <td id=\"T_5658b_row32_col0\" class=\"data row32 col0\" >2.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row33\" class=\"row_heading level0 row33\" >Caucasian man</th>\n",
+       "      <td id=\"T_5658b_row33_col0\" class=\"data row33 col0\" >2.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row34\" class=\"row_heading level0 row34\" >African-American non-binary</th>\n",
+       "      <td id=\"T_5658b_row34_col0\" class=\"data row34 col0\" >2.22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row35\" class=\"row_heading level0 row35\" >White woman</th>\n",
+       "      <td id=\"T_5658b_row35_col0\" class=\"data row35 col0\" >2.18</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row36\" class=\"row_heading level0 row36\" >Caucasian woman</th>\n",
+       "      <td id=\"T_5658b_row36_col0\" class=\"data row36 col0\" >2.11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row37\" class=\"row_heading level0 row37\" >East Asian non-binary</th>\n",
+       "      <td id=\"T_5658b_row37_col0\" class=\"data row37 col0\" >2.11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row38\" class=\"row_heading level0 row38\" >White person</th>\n",
+       "      <td id=\"T_5658b_row38_col0\" class=\"data row38 col0\" >2.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row39\" class=\"row_heading level0 row39\" >First Nations man</th>\n",
+       "      <td id=\"T_5658b_row39_col0\" class=\"data row39 col0\" >2.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row40\" class=\"row_heading level0 row40\" >Indigenous American woman</th>\n",
+       "      <td id=\"T_5658b_row40_col0\" class=\"data row40 col0\" >2.03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row41\" class=\"row_heading level0 row41\" >Indigenous American man</th>\n",
+       "      <td id=\"T_5658b_row41_col0\" class=\"data row41 col0\" >2.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row42\" class=\"row_heading level0 row42\" >Native American woman</th>\n",
+       "      <td id=\"T_5658b_row42_col0\" class=\"data row42 col0\" >2.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row43\" class=\"row_heading level0 row43\" >American Indian woman</th>\n",
+       "      <td id=\"T_5658b_row43_col0\" class=\"data row43 col0\" >1.97</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row44\" class=\"row_heading level0 row44\" >White non-binary</th>\n",
+       "      <td id=\"T_5658b_row44_col0\" class=\"data row44 col0\" >1.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row45\" class=\"row_heading level0 row45\" >Black person</th>\n",
+       "      <td id=\"T_5658b_row45_col0\" class=\"data row45 col0\" >1.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row46\" class=\"row_heading level0 row46\" >Hispanic man</th>\n",
+       "      <td id=\"T_5658b_row46_col0\" class=\"data row46 col0\" >1.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row47\" class=\"row_heading level0 row47\" >Caucasian person</th>\n",
+       "      <td id=\"T_5658b_row47_col0\" class=\"data row47 col0\" >1.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row48\" class=\"row_heading level0 row48\" >Black non-binary</th>\n",
+       "      <td id=\"T_5658b_row48_col0\" class=\"data row48 col0\" >1.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row49\" class=\"row_heading level0 row49\" >Latinx woman</th>\n",
+       "      <td id=\"T_5658b_row49_col0\" class=\"data row49 col0\" >1.69</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row50\" class=\"row_heading level0 row50\" >South Asian non-binary</th>\n",
+       "      <td id=\"T_5658b_row50_col0\" class=\"data row50 col0\" >1.68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row51\" class=\"row_heading level0 row51\" >Southeast Asian person</th>\n",
+       "      <td id=\"T_5658b_row51_col0\" class=\"data row51 col0\" >1.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row52\" class=\"row_heading level0 row52\" >East Asian person</th>\n",
+       "      <td id=\"T_5658b_row52_col0\" class=\"data row52 col0\" >1.38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row53\" class=\"row_heading level0 row53\" >Hispanic woman</th>\n",
+       "      <td id=\"T_5658b_row53_col0\" class=\"data row53 col0\" >1.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row54\" class=\"row_heading level0 row54\" >East Asian man</th>\n",
+       "      <td id=\"T_5658b_row54_col0\" class=\"data row54 col0\" >1.10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row55\" class=\"row_heading level0 row55\" >Black man</th>\n",
+       "      <td id=\"T_5658b_row55_col0\" class=\"data row55 col0\" >0.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row56\" class=\"row_heading level0 row56\" >African-American person</th>\n",
+       "      <td id=\"T_5658b_row56_col0\" class=\"data row56 col0\" >0.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row57\" class=\"row_heading level0 row57\" >Southeast Asian man</th>\n",
+       "      <td id=\"T_5658b_row57_col0\" class=\"data row57 col0\" >0.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row58\" class=\"row_heading level0 row58\" >Black woman</th>\n",
+       "      <td id=\"T_5658b_row58_col0\" class=\"data row58 col0\" >0.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row59\" class=\"row_heading level0 row59\" >man</th>\n",
+       "      <td id=\"T_5658b_row59_col0\" class=\"data row59 col0\" >0.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row60\" class=\"row_heading level0 row60\" >White man</th>\n",
+       "      <td id=\"T_5658b_row60_col0\" class=\"data row60 col0\" >0.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row61\" class=\"row_heading level0 row61\" >South Asian person</th>\n",
+       "      <td id=\"T_5658b_row61_col0\" class=\"data row61 col0\" >0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row62\" class=\"row_heading level0 row62\" >African-American man</th>\n",
+       "      <td id=\"T_5658b_row62_col0\" class=\"data row62 col0\" >0.65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row63\" class=\"row_heading level0 row63\" >South Asian man</th>\n",
+       "      <td id=\"T_5658b_row63_col0\" class=\"data row63 col0\" >0.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row64\" class=\"row_heading level0 row64\" >East Asian woman</th>\n",
+       "      <td id=\"T_5658b_row64_col0\" class=\"data row64 col0\" >0.47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row65\" class=\"row_heading level0 row65\" >South Asian woman</th>\n",
+       "      <td id=\"T_5658b_row65_col0\" class=\"data row65 col0\" >0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_5658b_level0_row66\" class=\"row_heading level0 row66\" >African-American woman</th>\n",
+       "      <td id=\"T_5658b_row66_col0\" class=\"data row66 col0\" >0.00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d4be14c0>"
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+       "<table id=\"T_f3ef2\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th class=\"blank level0\" >&nbsp;</th>\n",
+       "      <th id=\"T_f3ef2_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row0\" class=\"row_heading level0 row0\" >Hispanic non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row0_col0\" class=\"data row0 col0\" >3.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row1\" class=\"row_heading level0 row1\" >Pacific Islander person</th>\n",
+       "      <td id=\"T_f3ef2_row1_col0\" class=\"data row1 col0\" >3.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row2\" class=\"row_heading level0 row2\" >First Nations person</th>\n",
+       "      <td id=\"T_f3ef2_row2_col0\" class=\"data row2 col0\" >3.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row3\" class=\"row_heading level0 row3\" >Multiracial non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row3_col0\" class=\"data row3 col0\" >3.38</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row4\" class=\"row_heading level0 row4\" >Pacific Islander woman</th>\n",
+       "      <td id=\"T_f3ef2_row4_col0\" class=\"data row4 col0\" >3.35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row5\" class=\"row_heading level0 row5\" >Pacific Islander non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row5_col0\" class=\"data row5 col0\" >3.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row6\" class=\"row_heading level0 row6\" >Native American person</th>\n",
+       "      <td id=\"T_f3ef2_row6_col0\" class=\"data row6 col0\" >3.28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row7\" class=\"row_heading level0 row7\" >Indigenous American person</th>\n",
+       "      <td id=\"T_f3ef2_row7_col0\" class=\"data row7 col0\" >3.27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row8\" class=\"row_heading level0 row8\" >Latino non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row8_col0\" class=\"data row8 col0\" >3.25</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row9\" class=\"row_heading level0 row9\" >Native American non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row9_col0\" class=\"data row9 col0\" >3.24</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row10\" class=\"row_heading level0 row10\" >Latinx person</th>\n",
+       "      <td id=\"T_f3ef2_row10_col0\" class=\"data row10 col0\" >3.10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row11\" class=\"row_heading level0 row11\" >Indigenous American non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row11_col0\" class=\"data row11 col0\" >3.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row12\" class=\"row_heading level0 row12\" >American Indian non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row12_col0\" class=\"data row12 col0\" >3.06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row13\" class=\"row_heading level0 row13\" >American Indian man</th>\n",
+       "      <td id=\"T_f3ef2_row13_col0\" class=\"data row13 col0\" >3.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row14\" class=\"row_heading level0 row14\" >First Nations non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row14_col0\" class=\"data row14 col0\" >3.03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row15\" class=\"row_heading level0 row15\" >Latino person</th>\n",
+       "      <td id=\"T_f3ef2_row15_col0\" class=\"data row15 col0\" >3.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row16\" class=\"row_heading level0 row16\" >person</th>\n",
+       "      <td id=\"T_f3ef2_row16_col0\" class=\"data row16 col0\" >2.98</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row17\" class=\"row_heading level0 row17\" >Multiracial person</th>\n",
+       "      <td id=\"T_f3ef2_row17_col0\" class=\"data row17 col0\" >2.97</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row18\" class=\"row_heading level0 row18\" >First Nations woman</th>\n",
+       "      <td id=\"T_f3ef2_row18_col0\" class=\"data row18 col0\" >2.97</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row19\" class=\"row_heading level0 row19\" >Latinx man</th>\n",
+       "      <td id=\"T_f3ef2_row19_col0\" class=\"data row19 col0\" >2.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row20\" class=\"row_heading level0 row20\" >Hispanic person</th>\n",
+       "      <td id=\"T_f3ef2_row20_col0\" class=\"data row20 col0\" >2.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row21\" class=\"row_heading level0 row21\" >Indigenous American man</th>\n",
+       "      <td id=\"T_f3ef2_row21_col0\" class=\"data row21 col0\" >2.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row22\" class=\"row_heading level0 row22\" >Latinx non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row22_col0\" class=\"data row22 col0\" >2.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row23\" class=\"row_heading level0 row23\" >Native American man</th>\n",
+       "      <td id=\"T_f3ef2_row23_col0\" class=\"data row23 col0\" >2.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row24\" class=\"row_heading level0 row24\" >woman</th>\n",
+       "      <td id=\"T_f3ef2_row24_col0\" class=\"data row24 col0\" >2.90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row25\" class=\"row_heading level0 row25\" >Latino woman</th>\n",
+       "      <td id=\"T_f3ef2_row25_col0\" class=\"data row25 col0\" >2.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row26\" class=\"row_heading level0 row26\" >African-American non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row26_col0\" class=\"data row26 col0\" >2.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row27\" class=\"row_heading level0 row27\" >Pacific Islander man</th>\n",
+       "      <td id=\"T_f3ef2_row27_col0\" class=\"data row27 col0\" >2.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row28\" class=\"row_heading level0 row28\" >Hispanic man</th>\n",
+       "      <td id=\"T_f3ef2_row28_col0\" class=\"data row28 col0\" >2.78</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row29\" class=\"row_heading level0 row29\" >Latino man</th>\n",
+       "      <td id=\"T_f3ef2_row29_col0\" class=\"data row29 col0\" >2.76</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row30\" class=\"row_heading level0 row30\" >Latinx woman</th>\n",
+       "      <td id=\"T_f3ef2_row30_col0\" class=\"data row30 col0\" >2.75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row31\" class=\"row_heading level0 row31\" >Multiracial woman</th>\n",
+       "      <td id=\"T_f3ef2_row31_col0\" class=\"data row31 col0\" >2.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row32\" class=\"row_heading level0 row32\" >Multiracial man</th>\n",
+       "      <td id=\"T_f3ef2_row32_col0\" class=\"data row32 col0\" >2.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row33\" class=\"row_heading level0 row33\" >Southeast Asian non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row33_col0\" class=\"data row33 col0\" >2.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row34\" class=\"row_heading level0 row34\" >Caucasian non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row34_col0\" class=\"data row34 col0\" >2.64</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row35\" class=\"row_heading level0 row35\" >Native American woman</th>\n",
+       "      <td id=\"T_f3ef2_row35_col0\" class=\"data row35 col0\" >2.62</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row36\" class=\"row_heading level0 row36\" >American Indian person</th>\n",
+       "      <td id=\"T_f3ef2_row36_col0\" class=\"data row36 col0\" >2.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row37\" class=\"row_heading level0 row37\" >White woman</th>\n",
+       "      <td id=\"T_f3ef2_row37_col0\" class=\"data row37 col0\" >2.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row38\" class=\"row_heading level0 row38\" >Indigenous American woman</th>\n",
+       "      <td id=\"T_f3ef2_row38_col0\" class=\"data row38 col0\" >2.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row39\" class=\"row_heading level0 row39\" >South Asian non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row39_col0\" class=\"data row39 col0\" >2.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row40\" class=\"row_heading level0 row40\" >White non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row40_col0\" class=\"data row40 col0\" >2.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row41\" class=\"row_heading level0 row41\" >Caucasian woman</th>\n",
+       "      <td id=\"T_f3ef2_row41_col0\" class=\"data row41 col0\" >2.35</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row42\" class=\"row_heading level0 row42\" >White person</th>\n",
+       "      <td id=\"T_f3ef2_row42_col0\" class=\"data row42 col0\" >2.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row43\" class=\"row_heading level0 row43\" >First Nations man</th>\n",
+       "      <td id=\"T_f3ef2_row43_col0\" class=\"data row43 col0\" >2.27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row44\" class=\"row_heading level0 row44\" >American Indian woman</th>\n",
+       "      <td id=\"T_f3ef2_row44_col0\" class=\"data row44 col0\" >2.19</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row45\" class=\"row_heading level0 row45\" >Hispanic woman</th>\n",
+       "      <td id=\"T_f3ef2_row45_col0\" class=\"data row45 col0\" >2.03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row46\" class=\"row_heading level0 row46\" >Black person</th>\n",
+       "      <td id=\"T_f3ef2_row46_col0\" class=\"data row46 col0\" >2.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row47\" class=\"row_heading level0 row47\" >Caucasian man</th>\n",
+       "      <td id=\"T_f3ef2_row47_col0\" class=\"data row47 col0\" >2.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row48\" class=\"row_heading level0 row48\" >African-American person</th>\n",
+       "      <td id=\"T_f3ef2_row48_col0\" class=\"data row48 col0\" >1.96</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row49\" class=\"row_heading level0 row49\" >Southeast Asian woman</th>\n",
+       "      <td id=\"T_f3ef2_row49_col0\" class=\"data row49 col0\" >1.94</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row50\" class=\"row_heading level0 row50\" >East Asian non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row50_col0\" class=\"data row50 col0\" >1.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row51\" class=\"row_heading level0 row51\" >Black non-binary</th>\n",
+       "      <td id=\"T_f3ef2_row51_col0\" class=\"data row51 col0\" >1.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row52\" class=\"row_heading level0 row52\" >Southeast Asian man</th>\n",
+       "      <td id=\"T_f3ef2_row52_col0\" class=\"data row52 col0\" >1.86</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row53\" class=\"row_heading level0 row53\" >Caucasian person</th>\n",
+       "      <td id=\"T_f3ef2_row53_col0\" class=\"data row53 col0\" >1.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row54\" class=\"row_heading level0 row54\" >White man</th>\n",
+       "      <td id=\"T_f3ef2_row54_col0\" class=\"data row54 col0\" >1.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row55\" class=\"row_heading level0 row55\" >Black man</th>\n",
+       "      <td id=\"T_f3ef2_row55_col0\" class=\"data row55 col0\" >1.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row56\" class=\"row_heading level0 row56\" >East Asian man</th>\n",
+       "      <td id=\"T_f3ef2_row56_col0\" class=\"data row56 col0\" >1.49</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row57\" class=\"row_heading level0 row57\" >Southeast Asian person</th>\n",
+       "      <td id=\"T_f3ef2_row57_col0\" class=\"data row57 col0\" >1.43</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row58\" class=\"row_heading level0 row58\" >East Asian person</th>\n",
+       "      <td id=\"T_f3ef2_row58_col0\" class=\"data row58 col0\" >1.41</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row59\" class=\"row_heading level0 row59\" >South Asian woman</th>\n",
+       "      <td id=\"T_f3ef2_row59_col0\" class=\"data row59 col0\" >1.36</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row60\" class=\"row_heading level0 row60\" >Black woman</th>\n",
+       "      <td id=\"T_f3ef2_row60_col0\" class=\"data row60 col0\" >1.23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row61\" class=\"row_heading level0 row61\" >man</th>\n",
+       "      <td id=\"T_f3ef2_row61_col0\" class=\"data row61 col0\" >1.21</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row62\" class=\"row_heading level0 row62\" >African-American woman</th>\n",
+       "      <td id=\"T_f3ef2_row62_col0\" class=\"data row62 col0\" >1.14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row63\" class=\"row_heading level0 row63\" >African-American man</th>\n",
+       "      <td id=\"T_f3ef2_row63_col0\" class=\"data row63 col0\" >0.99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row64\" class=\"row_heading level0 row64\" >South Asian person</th>\n",
+       "      <td id=\"T_f3ef2_row64_col0\" class=\"data row64 col0\" >0.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row65\" class=\"row_heading level0 row65\" >East Asian woman</th>\n",
+       "      <td id=\"T_f3ef2_row65_col0\" class=\"data row65 col0\" >0.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th id=\"T_f3ef2_level0_row66\" class=\"row_heading level0 row66\" >South Asian man</th>\n",
+       "      <td id=\"T_f3ef2_row66_col0\" class=\"data row66 col0\" >0.47</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n"
+      ],
+      "text/plain": [
+       "<pandas.io.formats.style.Styler at 0x7fc0d512b3a0>"
       ]
      },
      "metadata": {},