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  1. data_01_027/cluster_entropy_analysis.ipynb +1956 -9
data_01_027/cluster_entropy_analysis.ipynb CHANGED
@@ -19,7 +19,7 @@
19
  },
20
  {
21
  "cell_type": "code",
22
- "execution_count": 125,
23
  "id": "f57c50ca-3581-4412-a160-774f998ce9df",
24
  "metadata": {},
25
  "outputs": [],
@@ -36,15 +36,14 @@
36
  },
37
  {
38
  "cell_type": "code",
39
- "execution_count": 122,
40
  "id": "50727b12-9dcb-4f31-b914-801bcd721949",
41
  "metadata": {},
42
  "outputs": [],
43
  "source": [
44
- "def reduce_full_to_ethnicities_model(d):\n",
45
  " c = Counter()\n",
46
  " for k,v in d['labels_full']:\n",
47
- " k_without_gender = re.split(\"woman|man|person|non-binary\", k)\n",
48
  " k_without_gender = re.split(\"woman|man|person|non-binary\",k)\n",
49
  " k_without_gender = ''.join(k_without_gender)\n",
50
  " k_without_gender = k_without_gender.strip().replace(\" \", \" \")\n",
@@ -54,29 +53,65 @@
54
  },
55
  {
56
  "cell_type": "code",
57
- "execution_count": 126,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
58
  "id": "da978f3b-8f94-4d1b-bae2-f3bb4e9986b4",
59
  "metadata": {},
60
  "outputs": [],
61
  "source": [
62
  "for cluster_dicts in [d_12, d_24, d_48]:\n",
63
  " for d in cluster_dicts:\n",
64
- " d[\"labels_ethnicity_model\"] = reduce_full_to_ethnicities_model(d)"
 
 
65
  ]
66
  },
67
  {
68
  "cell_type": "code",
69
- "execution_count": null,
70
  "id": "dcab249b-8c66-464f-a41c-a9ae5ab3ad71",
71
  "metadata": {},
72
  "outputs": [],
73
  "source": [
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  "# p(cluster | ethnicity, model) DONE\n",
75
- "# p(cluster | gender, model)\n",
76
  "# p(cluster | gender, ethnicity, model) DONE\n",
77
  "# p(cluster | ethnicity) DONE\n",
78
  "# p(cluster | gender) DONE\n",
79
- "# p(cluster | gender, ethnicity)\n",
80
  "# p(cluster | model) ADDED, DONE"
81
  ]
82
  },
@@ -2288,6 +2323,1918 @@
2288
  ").format(precision=2))"
2289
  ]
2290
  },
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2291
  {
2292
  "cell_type": "markdown",
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  "id": "0a12146d-ce28-419d-9fe9-7987284d437d",
 
19
  },
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  {
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  "cell_type": "code",
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+ "execution_count": 156,
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  "id": "f57c50ca-3581-4412-a160-774f998ce9df",
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  "metadata": {},
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  },
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  "id": "50727b12-9dcb-4f31-b914-801bcd721949",
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  "metadata": {},
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  "outputs": [],
43
  "source": [
44
+ "def reduce_full_to_ethnicity_model(d):\n",
45
  " c = Counter()\n",
46
  " for k,v in d['labels_full']:\n",
 
47
  " k_without_gender = re.split(\"woman|man|person|non-binary\",k)\n",
48
  " k_without_gender = ''.join(k_without_gender)\n",
49
  " k_without_gender = k_without_gender.strip().replace(\" \", \" \")\n",
 
53
  },
54
  {
55
  "cell_type": "code",
56
+ "execution_count": 142,
57
+ "id": "63830bef-085f-4847-b51a-b4157351a1a5",
58
+ "metadata": {},
59
+ "outputs": [],
60
+ "source": [
61
+ "def reduce_full_to_gender_model(d):\n",
62
+ " c = Counter()\n",
63
+ " for k,v in d['labels_full']:\n",
64
+ " k_without_ethnicity = re.split(\"(woman|man|person|non-binary)\", k)\n",
65
+ " k_without_ethnicity = ''.join(k_without_ethnicity[1:])\n",
66
+ " k_without_ethnicity = k_without_ethnicity.strip().replace(\" \", \" \")\n",
67
+ " c[k_without_ethnicity] = v\n",
68
+ " return [[k,v] for k,v in c.items()]"
69
+ ]
70
+ },
71
+ {
72
+ "cell_type": "code",
73
+ "execution_count": 154,
74
+ "id": "7edad0d1-3d6d-406e-87ef-a0a8c185a53f",
75
+ "metadata": {},
76
+ "outputs": [],
77
+ "source": [
78
+ "def reduce_full_to_ethnicity_gender(d):\n",
79
+ " c = Counter()\n",
80
+ " for k,v in d['labels_full']:\n",
81
+ " k_without_model = re.split(\"(woman|man|person|non-binary)\", k)\n",
82
+ " k_without_model = ''.join(k_without_model[:2])\n",
83
+ " k_without_model = k_without_model.strip().replace(\" \", \" \")\n",
84
+ " c[k_without_model] = v\n",
85
+ " return [[k,v] for k,v in c.items()]"
86
+ ]
87
+ },
88
+ {
89
+ "cell_type": "code",
90
+ "execution_count": 159,
91
  "id": "da978f3b-8f94-4d1b-bae2-f3bb4e9986b4",
92
  "metadata": {},
93
  "outputs": [],
94
  "source": [
95
  "for cluster_dicts in [d_12, d_24, d_48]:\n",
96
  " for d in cluster_dicts:\n",
97
+ " d[\"labels_ethnicity_model\"] = reduce_full_to_ethnicity_model(d)\n",
98
+ " d[\"labels_gender_model\"] = reduce_full_to_gender_model(d)\n",
99
+ " d[\"labels_ethnicity_gender\"] = reduce_full_to_ethnicity_gender(d)"
100
  ]
101
  },
102
  {
103
  "cell_type": "code",
104
+ "execution_count": 162,
105
  "id": "dcab249b-8c66-464f-a41c-a9ae5ab3ad71",
106
  "metadata": {},
107
  "outputs": [],
108
  "source": [
109
  "# p(cluster | ethnicity, model) DONE\n",
110
+ "# p(cluster | gender, model) DONE\n",
111
  "# p(cluster | gender, ethnicity, model) DONE\n",
112
  "# p(cluster | ethnicity) DONE\n",
113
  "# p(cluster | gender) DONE\n",
114
+ "# p(cluster | gender, ethnicity) DONE\n",
115
  "# p(cluster | model) ADDED, DONE"
116
  ]
117
  },
 
2323
  ").format(precision=2))"
2324
  ]
2325
  },
2326
+ {
2327
+ "cell_type": "markdown",
2328
+ "id": "66d9c1b9-9bce-4428-9149-b3782202cea5",
2329
+ "metadata": {},
2330
+ "source": [
2331
+ "# Gender X Model"
2332
+ ]
2333
+ },
2334
+ {
2335
+ "cell_type": "code",
2336
+ "execution_count": 146,
2337
+ "id": "db5a4a11-8dbf-4178-b6fb-3ed28d779003",
2338
+ "metadata": {},
2339
+ "outputs": [],
2340
+ "source": [
2341
+ "entropies = []\n",
2342
+ "random_entropies = []\n",
2343
+ "for cluster_dicts in [d_12, d_24, d_48]:\n",
2344
+ " entropy = dict()\n",
2345
+ " random_entropy = dict()\n",
2346
+ " n_clusters = len(cluster_dicts)\n",
2347
+ " all_genders_models = [list(dict(d['labels_gender_model']).keys()) for d in cluster_dicts]\n",
2348
+ " all_genders_models = list(set(chain(*all_genders_models)))\n",
2349
+ " for gender_model in all_genders_models:\n",
2350
+ " h = []\n",
2351
+ " for i in cluster_dicts:\n",
2352
+ " h.append(dict(i['labels_gender_model']).get(gender_model, 0))\n",
2353
+ " h = np.array(h)\n",
2354
+ " r = np.ones_like(h)\n",
2355
+ " entropy[gender_model] = scipy.stats.entropy(h / sum(h), base=2)\n",
2356
+ " entropies.append(entropy)"
2357
+ ]
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+ },
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+ {
2360
+ "cell_type": "code",
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+ "execution_count": 147,
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+ "id": "08617661-f71b-4ebd-837c-feae2c7b4bff",
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+ "#T_e13be_row4_col0 {\n",
2501
+ " background-color: #172978;\n",
2502
+ " color: #f1f1f1;\n",
2503
+ "}\n",
2504
+ "#T_e13be_row5_col0 {\n",
2505
+ " background-color: #253795;\n",
2506
+ " color: #f1f1f1;\n",
2507
+ "}\n",
2508
+ "#T_e13be_row6_col0 {\n",
2509
+ " background-color: #24419a;\n",
2510
+ " color: #f1f1f1;\n",
2511
+ "}\n",
2512
+ "#T_e13be_row7_col0 {\n",
2513
+ " background-color: #24489d;\n",
2514
+ " color: #f1f1f1;\n",
2515
+ "}\n",
2516
+ "#T_e13be_row8_col0 {\n",
2517
+ " background-color: #2351a2;\n",
2518
+ " color: #f1f1f1;\n",
2519
+ "}\n",
2520
+ "#T_e13be_row9_col0 {\n",
2521
+ " background-color: #2356a4;\n",
2522
+ " color: #f1f1f1;\n",
2523
+ "}\n",
2524
+ "#T_e13be_row10_col0 {\n",
2525
+ " background-color: #216aad;\n",
2526
+ " color: #f1f1f1;\n",
2527
+ "}\n",
2528
+ "#T_e13be_row11_col0 {\n",
2529
+ " background-color: #1f82b9;\n",
2530
+ " color: #f1f1f1;\n",
2531
+ "}\n",
2532
+ "</style>\n",
2533
+ "<table id=\"T_e13be\">\n",
2534
+ " <thead>\n",
2535
+ " <tr>\n",
2536
+ " <th class=\"blank level0\" >&nbsp;</th>\n",
2537
+ " <th id=\"T_e13be_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
2538
+ " </tr>\n",
2539
+ " </thead>\n",
2540
+ " <tbody>\n",
2541
+ " <tr>\n",
2542
+ " <th id=\"T_e13be_level0_row0\" class=\"row_heading level0 row0\" >non-binary SD_14</th>\n",
2543
+ " <td id=\"T_e13be_row0_col0\" class=\"data row0 col0\" >4.24</td>\n",
2544
+ " </tr>\n",
2545
+ " <tr>\n",
2546
+ " <th id=\"T_e13be_level0_row1\" class=\"row_heading level0 row1\" >person SD_2</th>\n",
2547
+ " <td id=\"T_e13be_row1_col0\" class=\"data row1 col0\" >3.90</td>\n",
2548
+ " </tr>\n",
2549
+ " <tr>\n",
2550
+ " <th id=\"T_e13be_level0_row2\" class=\"row_heading level0 row2\" >person SD_14</th>\n",
2551
+ " <td id=\"T_e13be_row2_col0\" class=\"data row2 col0\" >3.90</td>\n",
2552
+ " </tr>\n",
2553
+ " <tr>\n",
2554
+ " <th id=\"T_e13be_level0_row3\" class=\"row_heading level0 row3\" >non-binary SD_2</th>\n",
2555
+ " <td id=\"T_e13be_row3_col0\" class=\"data row3 col0\" >3.77</td>\n",
2556
+ " </tr>\n",
2557
+ " <tr>\n",
2558
+ " <th id=\"T_e13be_level0_row4\" class=\"row_heading level0 row4\" >non-binary DallE</th>\n",
2559
+ " <td id=\"T_e13be_row4_col0\" class=\"data row4 col0\" >3.73</td>\n",
2560
+ " </tr>\n",
2561
+ " <tr>\n",
2562
+ " <th id=\"T_e13be_level0_row5\" class=\"row_heading level0 row5\" >person DallE</th>\n",
2563
+ " <td id=\"T_e13be_row5_col0\" class=\"data row5 col0\" >3.47</td>\n",
2564
+ " </tr>\n",
2565
+ " <tr>\n",
2566
+ " <th id=\"T_e13be_level0_row6\" class=\"row_heading level0 row6\" >woman DallE</th>\n",
2567
+ " <td id=\"T_e13be_row6_col0\" class=\"data row6 col0\" >3.34</td>\n",
2568
+ " </tr>\n",
2569
+ " <tr>\n",
2570
+ " <th id=\"T_e13be_level0_row7\" class=\"row_heading level0 row7\" >woman SD_14</th>\n",
2571
+ " <td id=\"T_e13be_row7_col0\" class=\"data row7 col0\" >3.25</td>\n",
2572
+ " </tr>\n",
2573
+ " <tr>\n",
2574
+ " <th id=\"T_e13be_level0_row8\" class=\"row_heading level0 row8\" >man SD_14</th>\n",
2575
+ " <td id=\"T_e13be_row8_col0\" class=\"data row8 col0\" >3.15</td>\n",
2576
+ " </tr>\n",
2577
+ " <tr>\n",
2578
+ " <th id=\"T_e13be_level0_row9\" class=\"row_heading level0 row9\" >man SD_2</th>\n",
2579
+ " <td id=\"T_e13be_row9_col0\" class=\"data row9 col0\" >3.08</td>\n",
2580
+ " </tr>\n",
2581
+ " <tr>\n",
2582
+ " <th id=\"T_e13be_level0_row10\" class=\"row_heading level0 row10\" >man DallE</th>\n",
2583
+ " <td id=\"T_e13be_row10_col0\" class=\"data row10 col0\" >2.88</td>\n",
2584
+ " </tr>\n",
2585
+ " <tr>\n",
2586
+ " <th id=\"T_e13be_level0_row11\" class=\"row_heading level0 row11\" >woman SD_2</th>\n",
2587
+ " <td id=\"T_e13be_row11_col0\" class=\"data row11 col0\" >2.64</td>\n",
2588
+ " </tr>\n",
2589
+ " </tbody>\n",
2590
+ "</table>\n"
2591
+ ],
2592
+ "text/plain": [
2593
+ "<pandas.io.formats.style.Styler at 0x7fc0d4bd9fd0>"
2594
+ ]
2595
+ },
2596
+ "metadata": {},
2597
+ "output_type": "display_data"
2598
+ },
2599
+ {
2600
+ "data": {
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+ "text/html": [
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+ "<style type=\"text/css\">\n",
2603
+ "#T_7ece3_row0_col0, #T_7ece3_row1_col0, #T_7ece3_row2_col0, #T_7ece3_row3_col0, #T_7ece3_row4_col0 {\n",
2604
+ " background-color: #081d58;\n",
2605
+ " color: #f1f1f1;\n",
2606
+ "}\n",
2607
+ "#T_7ece3_row5_col0, #T_7ece3_row6_col0 {\n",
2608
+ " background-color: #0a1e5c;\n",
2609
+ " color: #f1f1f1;\n",
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+ "}\n",
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+ "#T_7ece3_row7_col0 {\n",
2612
+ " background-color: #0e2265;\n",
2613
+ " color: #f1f1f1;\n",
2614
+ "}\n",
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2616
+ " background-color: #102369;\n",
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+ " color: #f1f1f1;\n",
2618
+ "}\n",
2619
+ "#T_7ece3_row9_col0 {\n",
2620
+ " background-color: #172978;\n",
2621
+ " color: #f1f1f1;\n",
2622
+ "}\n",
2623
+ "#T_7ece3_row10_col0 {\n",
2624
+ " background-color: #192b7c;\n",
2625
+ " color: #f1f1f1;\n",
2626
+ "}\n",
2627
+ "#T_7ece3_row11_col0 {\n",
2628
+ " background-color: #253595;\n",
2629
+ " color: #f1f1f1;\n",
2630
+ "}\n",
2631
+ "</style>\n",
2632
+ "<table id=\"T_7ece3\">\n",
2633
+ " <thead>\n",
2634
+ " <tr>\n",
2635
+ " <th class=\"blank level0\" >&nbsp;</th>\n",
2636
+ " <th id=\"T_7ece3_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
2637
+ " </tr>\n",
2638
+ " </thead>\n",
2639
+ " <tbody>\n",
2640
+ " <tr>\n",
2641
+ " <th id=\"T_7ece3_level0_row0\" class=\"row_heading level0 row0\" >person SD_14</th>\n",
2642
+ " <td id=\"T_7ece3_row0_col0\" class=\"data row0 col0\" >4.79</td>\n",
2643
+ " </tr>\n",
2644
+ " <tr>\n",
2645
+ " <th id=\"T_7ece3_level0_row1\" class=\"row_heading level0 row1\" >non-binary SD_14</th>\n",
2646
+ " <td id=\"T_7ece3_row1_col0\" class=\"data row1 col0\" >4.70</td>\n",
2647
+ " </tr>\n",
2648
+ " <tr>\n",
2649
+ " <th id=\"T_7ece3_level0_row2\" class=\"row_heading level0 row2\" >non-binary DallE</th>\n",
2650
+ " <td id=\"T_7ece3_row2_col0\" class=\"data row2 col0\" >4.32</td>\n",
2651
+ " </tr>\n",
2652
+ " <tr>\n",
2653
+ " <th id=\"T_7ece3_level0_row3\" class=\"row_heading level0 row3\" >person SD_2</th>\n",
2654
+ " <td id=\"T_7ece3_row3_col0\" class=\"data row3 col0\" >4.32</td>\n",
2655
+ " </tr>\n",
2656
+ " <tr>\n",
2657
+ " <th id=\"T_7ece3_level0_row4\" class=\"row_heading level0 row4\" >person DallE</th>\n",
2658
+ " <td id=\"T_7ece3_row4_col0\" class=\"data row4 col0\" >4.14</td>\n",
2659
+ " </tr>\n",
2660
+ " <tr>\n",
2661
+ " <th id=\"T_7ece3_level0_row5\" class=\"row_heading level0 row5\" >woman DallE</th>\n",
2662
+ " <td id=\"T_7ece3_row5_col0\" class=\"data row5 col0\" >3.96</td>\n",
2663
+ " </tr>\n",
2664
+ " <tr>\n",
2665
+ " <th id=\"T_7ece3_level0_row6\" class=\"row_heading level0 row6\" >non-binary SD_2</th>\n",
2666
+ " <td id=\"T_7ece3_row6_col0\" class=\"data row6 col0\" >3.96</td>\n",
2667
+ " </tr>\n",
2668
+ " <tr>\n",
2669
+ " <th id=\"T_7ece3_level0_row7\" class=\"row_heading level0 row7\" >woman SD_14</th>\n",
2670
+ " <td id=\"T_7ece3_row7_col0\" class=\"data row7 col0\" >3.88</td>\n",
2671
+ " </tr>\n",
2672
+ " <tr>\n",
2673
+ " <th id=\"T_7ece3_level0_row8\" class=\"row_heading level0 row8\" >man SD_14</th>\n",
2674
+ " <td id=\"T_7ece3_row8_col0\" class=\"data row8 col0\" >3.86</td>\n",
2675
+ " </tr>\n",
2676
+ " <tr>\n",
2677
+ " <th id=\"T_7ece3_level0_row9\" class=\"row_heading level0 row9\" >man SD_2</th>\n",
2678
+ " <td id=\"T_7ece3_row9_col0\" class=\"data row9 col0\" >3.72</td>\n",
2679
+ " </tr>\n",
2680
+ " <tr>\n",
2681
+ " <th id=\"T_7ece3_level0_row10\" class=\"row_heading level0 row10\" >man DallE</th>\n",
2682
+ " <td id=\"T_7ece3_row10_col0\" class=\"data row10 col0\" >3.69</td>\n",
2683
+ " </tr>\n",
2684
+ " <tr>\n",
2685
+ " <th id=\"T_7ece3_level0_row11\" class=\"row_heading level0 row11\" >woman SD_2</th>\n",
2686
+ " <td id=\"T_7ece3_row11_col0\" class=\"data row11 col0\" >3.48</td>\n",
2687
+ " </tr>\n",
2688
+ " </tbody>\n",
2689
+ "</table>\n"
2690
+ ],
2691
+ "text/plain": [
2692
+ "<pandas.io.formats.style.Styler at 0x7fc0d4bd70a0>"
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+ ]
2694
+ },
2695
+ "metadata": {},
2696
+ "output_type": "display_data"
2697
+ }
2698
+ ],
2699
+ "source": [
2700
+ "for d in entropies:\n",
2701
+ " df = pd.DataFrame(pd.Series(d), columns=[\"entropy\"])\n",
2702
+ " display(df.sort_values(\"entropy\", ascending=False).style.background_gradient(\n",
2703
+ " axis=None,\n",
2704
+ " vmin=0,\n",
2705
+ " vmax=4,\n",
2706
+ " cmap=\"YlGnBu\"\n",
2707
+ ").format(precision=2))"
2708
+ ]
2709
+ },
2710
+ {
2711
+ "cell_type": "markdown",
2712
+ "id": "45455786-7a17-440f-a82e-bd8e1663fdb0",
2713
+ "metadata": {},
2714
+ "source": [
2715
+ "# Ethnicity X Gender"
2716
+ ]
2717
+ },
2718
+ {
2719
+ "cell_type": "code",
2720
+ "execution_count": 160,
2721
+ "id": "9f622b73-82f6-427c-a411-ccec7ca8dd70",
2722
+ "metadata": {},
2723
+ "outputs": [],
2724
+ "source": [
2725
+ "entropies = []\n",
2726
+ "random_entropies = []\n",
2727
+ "for cluster_dicts in [d_12, d_24, d_48]:\n",
2728
+ " entropy = dict()\n",
2729
+ " random_entropy = dict()\n",
2730
+ " n_clusters = len(cluster_dicts)\n",
2731
+ " all_ethnicities_genders = [list(dict(d['labels_ethnicity_gender']).keys()) for d in cluster_dicts]\n",
2732
+ " all_ethnicities_genders = list(set(chain(*all_ethnicities_genders)))\n",
2733
+ " for ethnicity_gender in all_ethnicities_genders:\n",
2734
+ " h = []\n",
2735
+ " for i in cluster_dicts:\n",
2736
+ " h.append(dict(i['labels_ethnicity_gender']).get(ethnicity_gender, 0))\n",
2737
+ " h = np.array(h)\n",
2738
+ " r = np.ones_like(h)\n",
2739
+ " entropy[ethnicity_gender] = scipy.stats.entropy(h / sum(h), base=2)\n",
2740
+ " entropies.append(entropy)"
2741
+ ]
2742
+ },
2743
+ {
2744
+ "cell_type": "code",
2745
+ "execution_count": 161,
2746
+ "id": "a3844662-2a7c-49d0-972f-6f41a342c7c5",
2747
+ "metadata": {},
2748
+ "outputs": [
2749
+ {
2750
+ "data": {
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+ " color: #000000;\n",
2900
+ "}\n",
2901
+ "#T_deb52_row52_col0 {\n",
2902
+ " background-color: #b9e4b5;\n",
2903
+ " color: #000000;\n",
2904
+ "}\n",
2905
+ "#T_deb52_row53_col0, #T_deb52_row54_col0 {\n",
2906
+ " background-color: #cdebb4;\n",
2907
+ " color: #000000;\n",
2908
+ "}\n",
2909
+ "#T_deb52_row55_col0 {\n",
2910
+ " background-color: #d0edb3;\n",
2911
+ " color: #000000;\n",
2912
+ "}\n",
2913
+ "#T_deb52_row56_col0, #T_deb52_row57_col0, #T_deb52_row58_col0 {\n",
2914
+ " background-color: #dcf1b2;\n",
2915
+ " color: #000000;\n",
2916
+ "}\n",
2917
+ "#T_deb52_row59_col0, #T_deb52_row60_col0, #T_deb52_row61_col0, #T_deb52_row62_col0 {\n",
2918
+ " background-color: #eef8b3;\n",
2919
+ " color: #000000;\n",
2920
+ "}\n",
2921
+ "#T_deb52_row63_col0, #T_deb52_row64_col0, #T_deb52_row65_col0, #T_deb52_row66_col0 {\n",
2922
+ " background-color: #ffffd9;\n",
2923
+ " color: #000000;\n",
2924
+ "}\n",
2925
+ "</style>\n",
2926
+ "<table id=\"T_deb52\">\n",
2927
+ " <thead>\n",
2928
+ " <tr>\n",
2929
+ " <th class=\"blank level0\" >&nbsp;</th>\n",
2930
+ " <th id=\"T_deb52_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
2931
+ " </tr>\n",
2932
+ " </thead>\n",
2933
+ " <tbody>\n",
2934
+ " <tr>\n",
2935
+ " <th id=\"T_deb52_level0_row0\" class=\"row_heading level0 row0\" >Southeast Asian non-binary</th>\n",
2936
+ " <td id=\"T_deb52_row0_col0\" class=\"data row0 col0\" >2.75</td>\n",
2937
+ " </tr>\n",
2938
+ " <tr>\n",
2939
+ " <th id=\"T_deb52_level0_row1\" class=\"row_heading level0 row1\" >Hispanic non-binary</th>\n",
2940
+ " <td id=\"T_deb52_row1_col0\" class=\"data row1 col0\" >2.59</td>\n",
2941
+ " </tr>\n",
2942
+ " <tr>\n",
2943
+ " <th id=\"T_deb52_level0_row2\" class=\"row_heading level0 row2\" >Latino non-binary</th>\n",
2944
+ " <td id=\"T_deb52_row2_col0\" class=\"data row2 col0\" >2.52</td>\n",
2945
+ " </tr>\n",
2946
+ " <tr>\n",
2947
+ " <th id=\"T_deb52_level0_row3\" class=\"row_heading level0 row3\" >Latinx person</th>\n",
2948
+ " <td id=\"T_deb52_row3_col0\" class=\"data row3 col0\" >2.50</td>\n",
2949
+ " </tr>\n",
2950
+ " <tr>\n",
2951
+ " <th id=\"T_deb52_level0_row4\" class=\"row_heading level0 row4\" >Pacific Islander person</th>\n",
2952
+ " <td id=\"T_deb52_row4_col0\" class=\"data row4 col0\" >2.37</td>\n",
2953
+ " </tr>\n",
2954
+ " <tr>\n",
2955
+ " <th id=\"T_deb52_level0_row5\" class=\"row_heading level0 row5\" >Multiracial woman</th>\n",
2956
+ " <td id=\"T_deb52_row5_col0\" class=\"data row5 col0\" >2.25</td>\n",
2957
+ " </tr>\n",
2958
+ " <tr>\n",
2959
+ " <th id=\"T_deb52_level0_row6\" class=\"row_heading level0 row6\" >American Indian non-binary</th>\n",
2960
+ " <td id=\"T_deb52_row6_col0\" class=\"data row6 col0\" >2.24</td>\n",
2961
+ " </tr>\n",
2962
+ " <tr>\n",
2963
+ " <th id=\"T_deb52_level0_row7\" class=\"row_heading level0 row7\" >Native American non-binary</th>\n",
2964
+ " <td id=\"T_deb52_row7_col0\" class=\"data row7 col0\" >2.24</td>\n",
2965
+ " </tr>\n",
2966
+ " <tr>\n",
2967
+ " <th id=\"T_deb52_level0_row8\" class=\"row_heading level0 row8\" >African-American non-binary</th>\n",
2968
+ " <td id=\"T_deb52_row8_col0\" class=\"data row8 col0\" >2.22</td>\n",
2969
+ " </tr>\n",
2970
+ " <tr>\n",
2971
+ " <th id=\"T_deb52_level0_row9\" class=\"row_heading level0 row9\" >Latinx non-binary</th>\n",
2972
+ " <td id=\"T_deb52_row9_col0\" class=\"data row9 col0\" >2.19</td>\n",
2973
+ " </tr>\n",
2974
+ " <tr>\n",
2975
+ " <th id=\"T_deb52_level0_row10\" class=\"row_heading level0 row10\" >Pacific Islander woman</th>\n",
2976
+ " <td id=\"T_deb52_row10_col0\" class=\"data row10 col0\" >2.16</td>\n",
2977
+ " </tr>\n",
2978
+ " <tr>\n",
2979
+ " <th id=\"T_deb52_level0_row11\" class=\"row_heading level0 row11\" >Multiracial non-binary</th>\n",
2980
+ " <td id=\"T_deb52_row11_col0\" class=\"data row11 col0\" >2.16</td>\n",
2981
+ " </tr>\n",
2982
+ " <tr>\n",
2983
+ " <th id=\"T_deb52_level0_row12\" class=\"row_heading level0 row12\" >Pacific Islander man</th>\n",
2984
+ " <td id=\"T_deb52_row12_col0\" class=\"data row12 col0\" >2.16</td>\n",
2985
+ " </tr>\n",
2986
+ " <tr>\n",
2987
+ " <th id=\"T_deb52_level0_row13\" class=\"row_heading level0 row13\" >First Nations woman</th>\n",
2988
+ " <td id=\"T_deb52_row13_col0\" class=\"data row13 col0\" >2.10</td>\n",
2989
+ " </tr>\n",
2990
+ " <tr>\n",
2991
+ " <th id=\"T_deb52_level0_row14\" class=\"row_heading level0 row14\" >Latino person</th>\n",
2992
+ " <td id=\"T_deb52_row14_col0\" class=\"data row14 col0\" >2.09</td>\n",
2993
+ " </tr>\n",
2994
+ " <tr>\n",
2995
+ " <th id=\"T_deb52_level0_row15\" class=\"row_heading level0 row15\" >Hispanic person</th>\n",
2996
+ " <td id=\"T_deb52_row15_col0\" class=\"data row15 col0\" >2.07</td>\n",
2997
+ " </tr>\n",
2998
+ " <tr>\n",
2999
+ " <th id=\"T_deb52_level0_row16\" class=\"row_heading level0 row16\" >First Nations person</th>\n",
3000
+ " <td id=\"T_deb52_row16_col0\" class=\"data row16 col0\" >2.07</td>\n",
3001
+ " </tr>\n",
3002
+ " <tr>\n",
3003
+ " <th id=\"T_deb52_level0_row17\" class=\"row_heading level0 row17\" >Indigenous American non-binary</th>\n",
3004
+ " <td id=\"T_deb52_row17_col0\" class=\"data row17 col0\" >2.06</td>\n",
3005
+ " </tr>\n",
3006
+ " <tr>\n",
3007
+ " <th id=\"T_deb52_level0_row18\" class=\"row_heading level0 row18\" >Multiracial person</th>\n",
3008
+ " <td id=\"T_deb52_row18_col0\" class=\"data row18 col0\" >2.05</td>\n",
3009
+ " </tr>\n",
3010
+ " <tr>\n",
3011
+ " <th id=\"T_deb52_level0_row19\" class=\"row_heading level0 row19\" >woman</th>\n",
3012
+ " <td id=\"T_deb52_row19_col0\" class=\"data row19 col0\" >2.04</td>\n",
3013
+ " </tr>\n",
3014
+ " <tr>\n",
3015
+ " <th id=\"T_deb52_level0_row20\" class=\"row_heading level0 row20\" >First Nations non-binary</th>\n",
3016
+ " <td id=\"T_deb52_row20_col0\" class=\"data row20 col0\" >1.95</td>\n",
3017
+ " </tr>\n",
3018
+ " <tr>\n",
3019
+ " <th id=\"T_deb52_level0_row21\" class=\"row_heading level0 row21\" >Indigenous American person</th>\n",
3020
+ " <td id=\"T_deb52_row21_col0\" class=\"data row21 col0\" >1.88</td>\n",
3021
+ " </tr>\n",
3022
+ " <tr>\n",
3023
+ " <th id=\"T_deb52_level0_row22\" class=\"row_heading level0 row22\" >White person</th>\n",
3024
+ " <td id=\"T_deb52_row22_col0\" class=\"data row22 col0\" >1.88</td>\n",
3025
+ " </tr>\n",
3026
+ " <tr>\n",
3027
+ " <th id=\"T_deb52_level0_row23\" class=\"row_heading level0 row23\" >Pacific Islander non-binary</th>\n",
3028
+ " <td id=\"T_deb52_row23_col0\" class=\"data row23 col0\" >1.87</td>\n",
3029
+ " </tr>\n",
3030
+ " <tr>\n",
3031
+ " <th id=\"T_deb52_level0_row24\" class=\"row_heading level0 row24\" >person</th>\n",
3032
+ " <td id=\"T_deb52_row24_col0\" class=\"data row24 col0\" >1.87</td>\n",
3033
+ " </tr>\n",
3034
+ " <tr>\n",
3035
+ " <th id=\"T_deb52_level0_row25\" class=\"row_heading level0 row25\" >Native American person</th>\n",
3036
+ " <td id=\"T_deb52_row25_col0\" class=\"data row25 col0\" >1.83</td>\n",
3037
+ " </tr>\n",
3038
+ " <tr>\n",
3039
+ " <th id=\"T_deb52_level0_row26\" class=\"row_heading level0 row26\" >Latino woman</th>\n",
3040
+ " <td id=\"T_deb52_row26_col0\" class=\"data row26 col0\" >1.77</td>\n",
3041
+ " </tr>\n",
3042
+ " <tr>\n",
3043
+ " <th id=\"T_deb52_level0_row27\" class=\"row_heading level0 row27\" >Indigenous American woman</th>\n",
3044
+ " <td id=\"T_deb52_row27_col0\" class=\"data row27 col0\" >1.76</td>\n",
3045
+ " </tr>\n",
3046
+ " <tr>\n",
3047
+ " <th id=\"T_deb52_level0_row28\" class=\"row_heading level0 row28\" >Southeast Asian woman</th>\n",
3048
+ " <td id=\"T_deb52_row28_col0\" class=\"data row28 col0\" >1.75</td>\n",
3049
+ " </tr>\n",
3050
+ " <tr>\n",
3051
+ " <th id=\"T_deb52_level0_row29\" class=\"row_heading level0 row29\" >White woman</th>\n",
3052
+ " <td id=\"T_deb52_row29_col0\" class=\"data row29 col0\" >1.74</td>\n",
3053
+ " </tr>\n",
3054
+ " <tr>\n",
3055
+ " <th id=\"T_deb52_level0_row30\" class=\"row_heading level0 row30\" >Latinx man</th>\n",
3056
+ " <td id=\"T_deb52_row30_col0\" class=\"data row30 col0\" >1.66</td>\n",
3057
+ " </tr>\n",
3058
+ " <tr>\n",
3059
+ " <th id=\"T_deb52_level0_row31\" class=\"row_heading level0 row31\" >Caucasian non-binary</th>\n",
3060
+ " <td id=\"T_deb52_row31_col0\" class=\"data row31 col0\" >1.66</td>\n",
3061
+ " </tr>\n",
3062
+ " <tr>\n",
3063
+ " <th id=\"T_deb52_level0_row32\" class=\"row_heading level0 row32\" >Black person</th>\n",
3064
+ " <td id=\"T_deb52_row32_col0\" class=\"data row32 col0\" >1.63</td>\n",
3065
+ " </tr>\n",
3066
+ " <tr>\n",
3067
+ " <th id=\"T_deb52_level0_row33\" class=\"row_heading level0 row33\" >Latino man</th>\n",
3068
+ " <td id=\"T_deb52_row33_col0\" class=\"data row33 col0\" >1.62</td>\n",
3069
+ " </tr>\n",
3070
+ " <tr>\n",
3071
+ " <th id=\"T_deb52_level0_row34\" class=\"row_heading level0 row34\" >Caucasian woman</th>\n",
3072
+ " <td id=\"T_deb52_row34_col0\" class=\"data row34 col0\" >1.62</td>\n",
3073
+ " </tr>\n",
3074
+ " <tr>\n",
3075
+ " <th id=\"T_deb52_level0_row35\" class=\"row_heading level0 row35\" >Native American woman</th>\n",
3076
+ " <td id=\"T_deb52_row35_col0\" class=\"data row35 col0\" >1.59</td>\n",
3077
+ " </tr>\n",
3078
+ " <tr>\n",
3079
+ " <th id=\"T_deb52_level0_row36\" class=\"row_heading level0 row36\" >American Indian man</th>\n",
3080
+ " <td id=\"T_deb52_row36_col0\" class=\"data row36 col0\" >1.56</td>\n",
3081
+ " </tr>\n",
3082
+ " <tr>\n",
3083
+ " <th id=\"T_deb52_level0_row37\" class=\"row_heading level0 row37\" >American Indian woman</th>\n",
3084
+ " <td id=\"T_deb52_row37_col0\" class=\"data row37 col0\" >1.56</td>\n",
3085
+ " </tr>\n",
3086
+ " <tr>\n",
3087
+ " <th id=\"T_deb52_level0_row38\" class=\"row_heading level0 row38\" >American Indian person</th>\n",
3088
+ " <td id=\"T_deb52_row38_col0\" class=\"data row38 col0\" >1.53</td>\n",
3089
+ " </tr>\n",
3090
+ " <tr>\n",
3091
+ " <th id=\"T_deb52_level0_row39\" class=\"row_heading level0 row39\" >Native American man</th>\n",
3092
+ " <td id=\"T_deb52_row39_col0\" class=\"data row39 col0\" >1.51</td>\n",
3093
+ " </tr>\n",
3094
+ " <tr>\n",
3095
+ " <th id=\"T_deb52_level0_row40\" class=\"row_heading level0 row40\" >South Asian non-binary</th>\n",
3096
+ " <td id=\"T_deb52_row40_col0\" class=\"data row40 col0\" >1.49</td>\n",
3097
+ " </tr>\n",
3098
+ " <tr>\n",
3099
+ " <th id=\"T_deb52_level0_row41\" class=\"row_heading level0 row41\" >Hispanic man</th>\n",
3100
+ " <td id=\"T_deb52_row41_col0\" class=\"data row41 col0\" >1.49</td>\n",
3101
+ " </tr>\n",
3102
+ " <tr>\n",
3103
+ " <th id=\"T_deb52_level0_row42\" class=\"row_heading level0 row42\" >Southeast Asian person</th>\n",
3104
+ " <td id=\"T_deb52_row42_col0\" class=\"data row42 col0\" >1.47</td>\n",
3105
+ " </tr>\n",
3106
+ " <tr>\n",
3107
+ " <th id=\"T_deb52_level0_row43\" class=\"row_heading level0 row43\" >East Asian non-binary</th>\n",
3108
+ " <td id=\"T_deb52_row43_col0\" class=\"data row43 col0\" >1.45</td>\n",
3109
+ " </tr>\n",
3110
+ " <tr>\n",
3111
+ " <th id=\"T_deb52_level0_row44\" class=\"row_heading level0 row44\" >Multiracial man</th>\n",
3112
+ " <td id=\"T_deb52_row44_col0\" class=\"data row44 col0\" >1.45</td>\n",
3113
+ " </tr>\n",
3114
+ " <tr>\n",
3115
+ " <th id=\"T_deb52_level0_row45\" class=\"row_heading level0 row45\" >Black non-binary</th>\n",
3116
+ " <td id=\"T_deb52_row45_col0\" class=\"data row45 col0\" >1.38</td>\n",
3117
+ " </tr>\n",
3118
+ " <tr>\n",
3119
+ " <th id=\"T_deb52_level0_row46\" class=\"row_heading level0 row46\" >East Asian person</th>\n",
3120
+ " <td id=\"T_deb52_row46_col0\" class=\"data row46 col0\" >1.38</td>\n",
3121
+ " </tr>\n",
3122
+ " <tr>\n",
3123
+ " <th id=\"T_deb52_level0_row47\" class=\"row_heading level0 row47\" >White non-binary</th>\n",
3124
+ " <td id=\"T_deb52_row47_col0\" class=\"data row47 col0\" >1.37</td>\n",
3125
+ " </tr>\n",
3126
+ " <tr>\n",
3127
+ " <th id=\"T_deb52_level0_row48\" class=\"row_heading level0 row48\" >First Nations man</th>\n",
3128
+ " <td id=\"T_deb52_row48_col0\" class=\"data row48 col0\" >1.37</td>\n",
3129
+ " </tr>\n",
3130
+ " <tr>\n",
3131
+ " <th id=\"T_deb52_level0_row49\" class=\"row_heading level0 row49\" >Indigenous American man</th>\n",
3132
+ " <td id=\"T_deb52_row49_col0\" class=\"data row49 col0\" >1.36</td>\n",
3133
+ " </tr>\n",
3134
+ " <tr>\n",
3135
+ " <th id=\"T_deb52_level0_row50\" class=\"row_heading level0 row50\" >Caucasian person</th>\n",
3136
+ " <td id=\"T_deb52_row50_col0\" class=\"data row50 col0\" >1.30</td>\n",
3137
+ " </tr>\n",
3138
+ " <tr>\n",
3139
+ " <th id=\"T_deb52_level0_row51\" class=\"row_heading level0 row51\" >Caucasian man</th>\n",
3140
+ " <td id=\"T_deb52_row51_col0\" class=\"data row51 col0\" >1.16</td>\n",
3141
+ " </tr>\n",
3142
+ " <tr>\n",
3143
+ " <th id=\"T_deb52_level0_row52\" class=\"row_heading level0 row52\" >Latinx woman</th>\n",
3144
+ " <td id=\"T_deb52_row52_col0\" class=\"data row52 col0\" >1.10</td>\n",
3145
+ " </tr>\n",
3146
+ " <tr>\n",
3147
+ " <th id=\"T_deb52_level0_row53\" class=\"row_heading level0 row53\" >Hispanic woman</th>\n",
3148
+ " <td id=\"T_deb52_row53_col0\" class=\"data row53 col0\" >0.92</td>\n",
3149
+ " </tr>\n",
3150
+ " <tr>\n",
3151
+ " <th id=\"T_deb52_level0_row54\" class=\"row_heading level0 row54\" >Southeast Asian man</th>\n",
3152
+ " <td id=\"T_deb52_row54_col0\" class=\"data row54 col0\" >0.92</td>\n",
3153
+ " </tr>\n",
3154
+ " <tr>\n",
3155
+ " <th id=\"T_deb52_level0_row55\" class=\"row_heading level0 row55\" >Black woman</th>\n",
3156
+ " <td id=\"T_deb52_row55_col0\" class=\"data row55 col0\" >0.88</td>\n",
3157
+ " </tr>\n",
3158
+ " <tr>\n",
3159
+ " <th id=\"T_deb52_level0_row56\" class=\"row_heading level0 row56\" >African-American person</th>\n",
3160
+ " <td id=\"T_deb52_row56_col0\" class=\"data row56 col0\" >0.72</td>\n",
3161
+ " </tr>\n",
3162
+ " <tr>\n",
3163
+ " <th id=\"T_deb52_level0_row57\" class=\"row_heading level0 row57\" >South Asian person</th>\n",
3164
+ " <td id=\"T_deb52_row57_col0\" class=\"data row57 col0\" >0.72</td>\n",
3165
+ " </tr>\n",
3166
+ " <tr>\n",
3167
+ " <th id=\"T_deb52_level0_row58\" class=\"row_heading level0 row58\" >East Asian man</th>\n",
3168
+ " <td id=\"T_deb52_row58_col0\" class=\"data row58 col0\" >0.72</td>\n",
3169
+ " </tr>\n",
3170
+ " <tr>\n",
3171
+ " <th id=\"T_deb52_level0_row59\" class=\"row_heading level0 row59\" >East Asian woman</th>\n",
3172
+ " <td id=\"T_deb52_row59_col0\" class=\"data row59 col0\" >0.47</td>\n",
3173
+ " </tr>\n",
3174
+ " <tr>\n",
3175
+ " <th id=\"T_deb52_level0_row60\" class=\"row_heading level0 row60\" >White man</th>\n",
3176
+ " <td id=\"T_deb52_row60_col0\" class=\"data row60 col0\" >0.47</td>\n",
3177
+ " </tr>\n",
3178
+ " <tr>\n",
3179
+ " <th id=\"T_deb52_level0_row61\" class=\"row_heading level0 row61\" >South Asian man</th>\n",
3180
+ " <td id=\"T_deb52_row61_col0\" class=\"data row61 col0\" >0.47</td>\n",
3181
+ " </tr>\n",
3182
+ " <tr>\n",
3183
+ " <th id=\"T_deb52_level0_row62\" class=\"row_heading level0 row62\" >man</th>\n",
3184
+ " <td id=\"T_deb52_row62_col0\" class=\"data row62 col0\" >0.47</td>\n",
3185
+ " </tr>\n",
3186
+ " <tr>\n",
3187
+ " <th id=\"T_deb52_level0_row63\" class=\"row_heading level0 row63\" >African-American woman</th>\n",
3188
+ " <td id=\"T_deb52_row63_col0\" class=\"data row63 col0\" >0.00</td>\n",
3189
+ " </tr>\n",
3190
+ " <tr>\n",
3191
+ " <th id=\"T_deb52_level0_row64\" class=\"row_heading level0 row64\" >South Asian woman</th>\n",
3192
+ " <td id=\"T_deb52_row64_col0\" class=\"data row64 col0\" >0.00</td>\n",
3193
+ " </tr>\n",
3194
+ " <tr>\n",
3195
+ " <th id=\"T_deb52_level0_row65\" class=\"row_heading level0 row65\" >Black man</th>\n",
3196
+ " <td id=\"T_deb52_row65_col0\" class=\"data row65 col0\" >0.00</td>\n",
3197
+ " </tr>\n",
3198
+ " <tr>\n",
3199
+ " <th id=\"T_deb52_level0_row66\" class=\"row_heading level0 row66\" >African-American man</th>\n",
3200
+ " <td id=\"T_deb52_row66_col0\" class=\"data row66 col0\" >0.00</td>\n",
3201
+ " </tr>\n",
3202
+ " </tbody>\n",
3203
+ "</table>\n"
3204
+ ],
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3208
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3212
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+ "#T_5658b_row0_col0 {\n",
3217
+ " background-color: #243d98;\n",
3218
+ " color: #f1f1f1;\n",
3219
+ "}\n",
3220
+ "#T_5658b_row1_col0 {\n",
3221
+ " background-color: #2354a3;\n",
3222
+ " color: #f1f1f1;\n",
3223
+ "}\n",
3224
+ "#T_5658b_row2_col0 {\n",
3225
+ " background-color: #225aa6;\n",
3226
+ " color: #f1f1f1;\n",
3227
+ "}\n",
3228
+ "#T_5658b_row3_col0, #T_5658b_row4_col0 {\n",
3229
+ " background-color: #225ca7;\n",
3230
+ " color: #f1f1f1;\n",
3231
+ "}\n",
3232
+ "#T_5658b_row5_col0 {\n",
3233
+ " background-color: #216bae;\n",
3234
+ " color: #f1f1f1;\n",
3235
+ "}\n",
3236
+ "#T_5658b_row6_col0 {\n",
3237
+ " background-color: #2073b2;\n",
3238
+ " color: #f1f1f1;\n",
3239
+ "}\n",
3240
+ "#T_5658b_row7_col0 {\n",
3241
+ " background-color: #2075b3;\n",
3242
+ " color: #f1f1f1;\n",
3243
+ "}\n",
3244
+ "#T_5658b_row8_col0 {\n",
3245
+ " background-color: #2076b3;\n",
3246
+ " color: #f1f1f1;\n",
3247
+ "}\n",
3248
+ "#T_5658b_row9_col0 {\n",
3249
+ " background-color: #1f7ab5;\n",
3250
+ " color: #f1f1f1;\n",
3251
+ "}\n",
3252
+ "#T_5658b_row10_col0, #T_5658b_row11_col0 {\n",
3253
+ " background-color: #1f80b8;\n",
3254
+ " color: #f1f1f1;\n",
3255
+ "}\n",
3256
+ "#T_5658b_row12_col0 {\n",
3257
+ " background-color: #1e86bb;\n",
3258
+ " color: #f1f1f1;\n",
3259
+ "}\n",
3260
+ "#T_5658b_row13_col0, #T_5658b_row14_col0 {\n",
3261
+ " background-color: #1e8abd;\n",
3262
+ " color: #f1f1f1;\n",
3263
+ "}\n",
3264
+ "#T_5658b_row15_col0, #T_5658b_row16_col0 {\n",
3265
+ " background-color: #1d8ebf;\n",
3266
+ " color: #f1f1f1;\n",
3267
+ "}\n",
3268
+ "#T_5658b_row17_col0, #T_5658b_row18_col0 {\n",
3269
+ " background-color: #1d91c0;\n",
3270
+ " color: #f1f1f1;\n",
3271
+ "}\n",
3272
+ "#T_5658b_row19_col0 {\n",
3273
+ " background-color: #1f93c0;\n",
3274
+ " color: #f1f1f1;\n",
3275
+ "}\n",
3276
+ "#T_5658b_row20_col0 {\n",
3277
+ " background-color: #2094c0;\n",
3278
+ " color: #f1f1f1;\n",
3279
+ "}\n",
3280
+ "#T_5658b_row21_col0, #T_5658b_row22_col0 {\n",
3281
+ " background-color: #2195c0;\n",
3282
+ " color: #f1f1f1;\n",
3283
+ "}\n",
3284
+ "#T_5658b_row23_col0 {\n",
3285
+ " background-color: #2397c1;\n",
3286
+ " color: #f1f1f1;\n",
3287
+ "}\n",
3288
+ "#T_5658b_row24_col0, #T_5658b_row25_col0 {\n",
3289
+ " background-color: #269bc1;\n",
3290
+ " color: #f1f1f1;\n",
3291
+ "}\n",
3292
+ "#T_5658b_row26_col0, #T_5658b_row27_col0 {\n",
3293
+ " background-color: #299dc1;\n",
3294
+ " color: #f1f1f1;\n",
3295
+ "}\n",
3296
+ "#T_5658b_row28_col0 {\n",
3297
+ " background-color: #2b9fc2;\n",
3298
+ " color: #f1f1f1;\n",
3299
+ "}\n",
3300
+ "#T_5658b_row29_col0, #T_5658b_row30_col0 {\n",
3301
+ " background-color: #2ca1c2;\n",
3302
+ " color: #f1f1f1;\n",
3303
+ "}\n",
3304
+ "#T_5658b_row31_col0 {\n",
3305
+ " background-color: #2da2c2;\n",
3306
+ " color: #f1f1f1;\n",
3307
+ "}\n",
3308
+ "#T_5658b_row32_col0, #T_5658b_row33_col0 {\n",
3309
+ " background-color: #2ea3c2;\n",
3310
+ " color: #f1f1f1;\n",
3311
+ "}\n",
3312
+ "#T_5658b_row34_col0 {\n",
3313
+ " background-color: #31a5c2;\n",
3314
+ " color: #f1f1f1;\n",
3315
+ "}\n",
3316
+ "#T_5658b_row35_col0 {\n",
3317
+ " background-color: #34a9c3;\n",
3318
+ " color: #f1f1f1;\n",
3319
+ "}\n",
3320
+ "#T_5658b_row36_col0, #T_5658b_row37_col0 {\n",
3321
+ " background-color: #39adc3;\n",
3322
+ " color: #f1f1f1;\n",
3323
+ "}\n",
3324
+ "#T_5658b_row38_col0 {\n",
3325
+ " background-color: #3cb1c3;\n",
3326
+ " color: #f1f1f1;\n",
3327
+ "}\n",
3328
+ "#T_5658b_row39_col0 {\n",
3329
+ " background-color: #3eb3c4;\n",
3330
+ " color: #f1f1f1;\n",
3331
+ "}\n",
3332
+ "#T_5658b_row40_col0 {\n",
3333
+ " background-color: #3fb4c4;\n",
3334
+ " color: #f1f1f1;\n",
3335
+ "}\n",
3336
+ "#T_5658b_row41_col0 {\n",
3337
+ " background-color: #40b5c4;\n",
3338
+ " color: #f1f1f1;\n",
3339
+ "}\n",
3340
+ "#T_5658b_row42_col0 {\n",
3341
+ " background-color: #42b6c4;\n",
3342
+ " color: #f1f1f1;\n",
3343
+ "}\n",
3344
+ "#T_5658b_row43_col0 {\n",
3345
+ " background-color: #44b7c4;\n",
3346
+ " color: #f1f1f1;\n",
3347
+ "}\n",
3348
+ "#T_5658b_row44_col0 {\n",
3349
+ " background-color: #46b8c3;\n",
3350
+ " color: #f1f1f1;\n",
3351
+ "}\n",
3352
+ "#T_5658b_row45_col0 {\n",
3353
+ " background-color: #52bcc2;\n",
3354
+ " color: #000000;\n",
3355
+ "}\n",
3356
+ "#T_5658b_row46_col0 {\n",
3357
+ " background-color: #53bdc1;\n",
3358
+ " color: #000000;\n",
3359
+ "}\n",
3360
+ "#T_5658b_row47_col0, #T_5658b_row48_col0 {\n",
3361
+ " background-color: #5fc1c0;\n",
3362
+ " color: #000000;\n",
3363
+ "}\n",
3364
+ "#T_5658b_row49_col0, #T_5658b_row50_col0 {\n",
3365
+ " background-color: #69c5be;\n",
3366
+ " color: #000000;\n",
3367
+ "}\n",
3368
+ "#T_5658b_row51_col0 {\n",
3369
+ " background-color: #83cebb;\n",
3370
+ " color: #000000;\n",
3371
+ "}\n",
3372
+ "#T_5658b_row52_col0 {\n",
3373
+ " background-color: #90d4b9;\n",
3374
+ " color: #000000;\n",
3375
+ "}\n",
3376
+ "#T_5658b_row53_col0 {\n",
3377
+ " background-color: #95d5b9;\n",
3378
+ " color: #000000;\n",
3379
+ "}\n",
3380
+ "#T_5658b_row54_col0 {\n",
3381
+ " background-color: #b9e4b5;\n",
3382
+ " color: #000000;\n",
3383
+ "}\n",
3384
+ "#T_5658b_row55_col0 {\n",
3385
+ " background-color: #caeab4;\n",
3386
+ " color: #000000;\n",
3387
+ "}\n",
3388
+ "#T_5658b_row56_col0, #T_5658b_row57_col0 {\n",
3389
+ " background-color: #cdebb4;\n",
3390
+ " color: #000000;\n",
3391
+ "}\n",
3392
+ "#T_5658b_row58_col0 {\n",
3393
+ " background-color: #d0edb3;\n",
3394
+ " color: #000000;\n",
3395
+ "}\n",
3396
+ "#T_5658b_row59_col0, #T_5658b_row60_col0 {\n",
3397
+ " background-color: #d1edb3;\n",
3398
+ " color: #000000;\n",
3399
+ "}\n",
3400
+ "#T_5658b_row61_col0 {\n",
3401
+ " background-color: #dcf1b2;\n",
3402
+ " color: #000000;\n",
3403
+ "}\n",
3404
+ "#T_5658b_row62_col0 {\n",
3405
+ " background-color: #e2f4b2;\n",
3406
+ " color: #000000;\n",
3407
+ "}\n",
3408
+ "#T_5658b_row63_col0, #T_5658b_row64_col0 {\n",
3409
+ " background-color: #eef8b3;\n",
3410
+ " color: #000000;\n",
3411
+ "}\n",
3412
+ "#T_5658b_row65_col0, #T_5658b_row66_col0 {\n",
3413
+ " background-color: #ffffd9;\n",
3414
+ " color: #000000;\n",
3415
+ "}\n",
3416
+ "</style>\n",
3417
+ "<table id=\"T_5658b\">\n",
3418
+ " <thead>\n",
3419
+ " <tr>\n",
3420
+ " <th class=\"blank level0\" >&nbsp;</th>\n",
3421
+ " <th id=\"T_5658b_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
3422
+ " </tr>\n",
3423
+ " </thead>\n",
3424
+ " <tbody>\n",
3425
+ " <tr>\n",
3426
+ " <th id=\"T_5658b_level0_row0\" class=\"row_heading level0 row0\" >Southeast Asian non-binary</th>\n",
3427
+ " <td id=\"T_5658b_row0_col0\" class=\"data row0 col0\" >3.38</td>\n",
3428
+ " </tr>\n",
3429
+ " <tr>\n",
3430
+ " <th id=\"T_5658b_level0_row1\" class=\"row_heading level0 row1\" >Latino non-binary</th>\n",
3431
+ " <td id=\"T_5658b_row1_col0\" class=\"data row1 col0\" >3.12</td>\n",
3432
+ " </tr>\n",
3433
+ " <tr>\n",
3434
+ " <th id=\"T_5658b_level0_row2\" class=\"row_heading level0 row2\" >Pacific Islander non-binary</th>\n",
3435
+ " <td id=\"T_5658b_row2_col0\" class=\"data row2 col0\" >3.04</td>\n",
3436
+ " </tr>\n",
3437
+ " <tr>\n",
3438
+ " <th id=\"T_5658b_level0_row3\" class=\"row_heading level0 row3\" >First Nations non-binary</th>\n",
3439
+ " <td id=\"T_5658b_row3_col0\" class=\"data row3 col0\" >3.02</td>\n",
3440
+ " </tr>\n",
3441
+ " <tr>\n",
3442
+ " <th id=\"T_5658b_level0_row4\" class=\"row_heading level0 row4\" >Hispanic non-binary</th>\n",
3443
+ " <td id=\"T_5658b_row4_col0\" class=\"data row4 col0\" >3.02</td>\n",
3444
+ " </tr>\n",
3445
+ " <tr>\n",
3446
+ " <th id=\"T_5658b_level0_row5\" class=\"row_heading level0 row5\" >Latinx person</th>\n",
3447
+ " <td id=\"T_5658b_row5_col0\" class=\"data row5 col0\" >2.87</td>\n",
3448
+ " </tr>\n",
3449
+ " <tr>\n",
3450
+ " <th id=\"T_5658b_level0_row6\" class=\"row_heading level0 row6\" >Indigenous American non-binary</th>\n",
3451
+ " <td id=\"T_5658b_row6_col0\" class=\"data row6 col0\" >2.79</td>\n",
3452
+ " </tr>\n",
3453
+ " <tr>\n",
3454
+ " <th id=\"T_5658b_level0_row7\" class=\"row_heading level0 row7\" >First Nations person</th>\n",
3455
+ " <td id=\"T_5658b_row7_col0\" class=\"data row7 col0\" >2.77</td>\n",
3456
+ " </tr>\n",
3457
+ " <tr>\n",
3458
+ " <th id=\"T_5658b_level0_row8\" class=\"row_heading level0 row8\" >Pacific Islander person</th>\n",
3459
+ " <td id=\"T_5658b_row8_col0\" class=\"data row8 col0\" >2.75</td>\n",
3460
+ " </tr>\n",
3461
+ " <tr>\n",
3462
+ " <th id=\"T_5658b_level0_row9\" class=\"row_heading level0 row9\" >Multiracial non-binary</th>\n",
3463
+ " <td id=\"T_5658b_row9_col0\" class=\"data row9 col0\" >2.73</td>\n",
3464
+ " </tr>\n",
3465
+ " <tr>\n",
3466
+ " <th id=\"T_5658b_level0_row10\" class=\"row_heading level0 row10\" >First Nations woman</th>\n",
3467
+ " <td id=\"T_5658b_row10_col0\" class=\"data row10 col0\" >2.66</td>\n",
3468
+ " </tr>\n",
3469
+ " <tr>\n",
3470
+ " <th id=\"T_5658b_level0_row11\" class=\"row_heading level0 row11\" >Pacific Islander woman</th>\n",
3471
+ " <td id=\"T_5658b_row11_col0\" class=\"data row11 col0\" >2.66</td>\n",
3472
+ " </tr>\n",
3473
+ " <tr>\n",
3474
+ " <th id=\"T_5658b_level0_row12\" class=\"row_heading level0 row12\" >Latinx non-binary</th>\n",
3475
+ " <td id=\"T_5658b_row12_col0\" class=\"data row12 col0\" >2.60</td>\n",
3476
+ " </tr>\n",
3477
+ " <tr>\n",
3478
+ " <th id=\"T_5658b_level0_row13\" class=\"row_heading level0 row13\" >Pacific Islander man</th>\n",
3479
+ " <td id=\"T_5658b_row13_col0\" class=\"data row13 col0\" >2.58</td>\n",
3480
+ " </tr>\n",
3481
+ " <tr>\n",
3482
+ " <th id=\"T_5658b_level0_row14\" class=\"row_heading level0 row14\" >Multiracial person</th>\n",
3483
+ " <td id=\"T_5658b_row14_col0\" class=\"data row14 col0\" >2.57</td>\n",
3484
+ " </tr>\n",
3485
+ " <tr>\n",
3486
+ " <th id=\"T_5658b_level0_row15\" class=\"row_heading level0 row15\" >Native American person</th>\n",
3487
+ " <td id=\"T_5658b_row15_col0\" class=\"data row15 col0\" >2.52</td>\n",
3488
+ " </tr>\n",
3489
+ " <tr>\n",
3490
+ " <th id=\"T_5658b_level0_row16\" class=\"row_heading level0 row16\" >Multiracial woman</th>\n",
3491
+ " <td id=\"T_5658b_row16_col0\" class=\"data row16 col0\" >2.52</td>\n",
3492
+ " </tr>\n",
3493
+ " <tr>\n",
3494
+ " <th id=\"T_5658b_level0_row17\" class=\"row_heading level0 row17\" >Latinx man</th>\n",
3495
+ " <td id=\"T_5658b_row17_col0\" class=\"data row17 col0\" >2.50</td>\n",
3496
+ " </tr>\n",
3497
+ " <tr>\n",
3498
+ " <th id=\"T_5658b_level0_row18\" class=\"row_heading level0 row18\" >American Indian non-binary</th>\n",
3499
+ " <td id=\"T_5658b_row18_col0\" class=\"data row18 col0\" >2.50</td>\n",
3500
+ " </tr>\n",
3501
+ " <tr>\n",
3502
+ " <th id=\"T_5658b_level0_row19\" class=\"row_heading level0 row19\" >Indigenous American person</th>\n",
3503
+ " <td id=\"T_5658b_row19_col0\" class=\"data row19 col0\" >2.47</td>\n",
3504
+ " </tr>\n",
3505
+ " <tr>\n",
3506
+ " <th id=\"T_5658b_level0_row20\" class=\"row_heading level0 row20\" >Latino woman</th>\n",
3507
+ " <td id=\"T_5658b_row20_col0\" class=\"data row20 col0\" >2.47</td>\n",
3508
+ " </tr>\n",
3509
+ " <tr>\n",
3510
+ " <th id=\"T_5658b_level0_row21\" class=\"row_heading level0 row21\" >Multiracial man</th>\n",
3511
+ " <td id=\"T_5658b_row21_col0\" class=\"data row21 col0\" >2.45</td>\n",
3512
+ " </tr>\n",
3513
+ " <tr>\n",
3514
+ " <th id=\"T_5658b_level0_row22\" class=\"row_heading level0 row22\" >Southeast Asian woman</th>\n",
3515
+ " <td id=\"T_5658b_row22_col0\" class=\"data row22 col0\" >2.45</td>\n",
3516
+ " </tr>\n",
3517
+ " <tr>\n",
3518
+ " <th id=\"T_5658b_level0_row23\" class=\"row_heading level0 row23\" >person</th>\n",
3519
+ " <td id=\"T_5658b_row23_col0\" class=\"data row23 col0\" >2.42</td>\n",
3520
+ " </tr>\n",
3521
+ " <tr>\n",
3522
+ " <th id=\"T_5658b_level0_row24\" class=\"row_heading level0 row24\" >woman</th>\n",
3523
+ " <td id=\"T_5658b_row24_col0\" class=\"data row24 col0\" >2.37</td>\n",
3524
+ " </tr>\n",
3525
+ " <tr>\n",
3526
+ " <th id=\"T_5658b_level0_row25\" class=\"row_heading level0 row25\" >Native American non-binary</th>\n",
3527
+ " <td id=\"T_5658b_row25_col0\" class=\"data row25 col0\" >2.36</td>\n",
3528
+ " </tr>\n",
3529
+ " <tr>\n",
3530
+ " <th id=\"T_5658b_level0_row26\" class=\"row_heading level0 row26\" >American Indian person</th>\n",
3531
+ " <td id=\"T_5658b_row26_col0\" class=\"data row26 col0\" >2.34</td>\n",
3532
+ " </tr>\n",
3533
+ " <tr>\n",
3534
+ " <th id=\"T_5658b_level0_row27\" class=\"row_heading level0 row27\" >Hispanic person</th>\n",
3535
+ " <td id=\"T_5658b_row27_col0\" class=\"data row27 col0\" >2.33</td>\n",
3536
+ " </tr>\n",
3537
+ " <tr>\n",
3538
+ " <th id=\"T_5658b_level0_row28\" class=\"row_heading level0 row28\" >American Indian man</th>\n",
3539
+ " <td id=\"T_5658b_row28_col0\" class=\"data row28 col0\" >2.30</td>\n",
3540
+ " </tr>\n",
3541
+ " <tr>\n",
3542
+ " <th id=\"T_5658b_level0_row29\" class=\"row_heading level0 row29\" >Caucasian non-binary</th>\n",
3543
+ " <td id=\"T_5658b_row29_col0\" class=\"data row29 col0\" >2.29</td>\n",
3544
+ " </tr>\n",
3545
+ " <tr>\n",
3546
+ " <th id=\"T_5658b_level0_row30\" class=\"row_heading level0 row30\" >Latino man</th>\n",
3547
+ " <td id=\"T_5658b_row30_col0\" class=\"data row30 col0\" >2.28</td>\n",
3548
+ " </tr>\n",
3549
+ " <tr>\n",
3550
+ " <th id=\"T_5658b_level0_row31\" class=\"row_heading level0 row31\" >Native American man</th>\n",
3551
+ " <td id=\"T_5658b_row31_col0\" class=\"data row31 col0\" >2.28</td>\n",
3552
+ " </tr>\n",
3553
+ " <tr>\n",
3554
+ " <th id=\"T_5658b_level0_row32\" class=\"row_heading level0 row32\" >Latino person</th>\n",
3555
+ " <td id=\"T_5658b_row32_col0\" class=\"data row32 col0\" >2.25</td>\n",
3556
+ " </tr>\n",
3557
+ " <tr>\n",
3558
+ " <th id=\"T_5658b_level0_row33\" class=\"row_heading level0 row33\" >Caucasian man</th>\n",
3559
+ " <td id=\"T_5658b_row33_col0\" class=\"data row33 col0\" >2.25</td>\n",
3560
+ " </tr>\n",
3561
+ " <tr>\n",
3562
+ " <th id=\"T_5658b_level0_row34\" class=\"row_heading level0 row34\" >African-American non-binary</th>\n",
3563
+ " <td id=\"T_5658b_row34_col0\" class=\"data row34 col0\" >2.22</td>\n",
3564
+ " </tr>\n",
3565
+ " <tr>\n",
3566
+ " <th id=\"T_5658b_level0_row35\" class=\"row_heading level0 row35\" >White woman</th>\n",
3567
+ " <td id=\"T_5658b_row35_col0\" class=\"data row35 col0\" >2.18</td>\n",
3568
+ " </tr>\n",
3569
+ " <tr>\n",
3570
+ " <th id=\"T_5658b_level0_row36\" class=\"row_heading level0 row36\" >Caucasian woman</th>\n",
3571
+ " <td id=\"T_5658b_row36_col0\" class=\"data row36 col0\" >2.11</td>\n",
3572
+ " </tr>\n",
3573
+ " <tr>\n",
3574
+ " <th id=\"T_5658b_level0_row37\" class=\"row_heading level0 row37\" >East Asian non-binary</th>\n",
3575
+ " <td id=\"T_5658b_row37_col0\" class=\"data row37 col0\" >2.11</td>\n",
3576
+ " </tr>\n",
3577
+ " <tr>\n",
3578
+ " <th id=\"T_5658b_level0_row38\" class=\"row_heading level0 row38\" >White person</th>\n",
3579
+ " <td id=\"T_5658b_row38_col0\" class=\"data row38 col0\" >2.06</td>\n",
3580
+ " </tr>\n",
3581
+ " <tr>\n",
3582
+ " <th id=\"T_5658b_level0_row39\" class=\"row_heading level0 row39\" >First Nations man</th>\n",
3583
+ " <td id=\"T_5658b_row39_col0\" class=\"data row39 col0\" >2.05</td>\n",
3584
+ " </tr>\n",
3585
+ " <tr>\n",
3586
+ " <th id=\"T_5658b_level0_row40\" class=\"row_heading level0 row40\" >Indigenous American woman</th>\n",
3587
+ " <td id=\"T_5658b_row40_col0\" class=\"data row40 col0\" >2.03</td>\n",
3588
+ " </tr>\n",
3589
+ " <tr>\n",
3590
+ " <th id=\"T_5658b_level0_row41\" class=\"row_heading level0 row41\" >Indigenous American man</th>\n",
3591
+ " <td id=\"T_5658b_row41_col0\" class=\"data row41 col0\" >2.01</td>\n",
3592
+ " </tr>\n",
3593
+ " <tr>\n",
3594
+ " <th id=\"T_5658b_level0_row42\" class=\"row_heading level0 row42\" >Native American woman</th>\n",
3595
+ " <td id=\"T_5658b_row42_col0\" class=\"data row42 col0\" >2.00</td>\n",
3596
+ " </tr>\n",
3597
+ " <tr>\n",
3598
+ " <th id=\"T_5658b_level0_row43\" class=\"row_heading level0 row43\" >American Indian woman</th>\n",
3599
+ " <td id=\"T_5658b_row43_col0\" class=\"data row43 col0\" >1.97</td>\n",
3600
+ " </tr>\n",
3601
+ " <tr>\n",
3602
+ " <th id=\"T_5658b_level0_row44\" class=\"row_heading level0 row44\" >White non-binary</th>\n",
3603
+ " <td id=\"T_5658b_row44_col0\" class=\"data row44 col0\" >1.96</td>\n",
3604
+ " </tr>\n",
3605
+ " <tr>\n",
3606
+ " <th id=\"T_5658b_level0_row45\" class=\"row_heading level0 row45\" >Black person</th>\n",
3607
+ " <td id=\"T_5658b_row45_col0\" class=\"data row45 col0\" >1.87</td>\n",
3608
+ " </tr>\n",
3609
+ " <tr>\n",
3610
+ " <th id=\"T_5658b_level0_row46\" class=\"row_heading level0 row46\" >Hispanic man</th>\n",
3611
+ " <td id=\"T_5658b_row46_col0\" class=\"data row46 col0\" >1.85</td>\n",
3612
+ " </tr>\n",
3613
+ " <tr>\n",
3614
+ " <th id=\"T_5658b_level0_row47\" class=\"row_heading level0 row47\" >Caucasian person</th>\n",
3615
+ " <td id=\"T_5658b_row47_col0\" class=\"data row47 col0\" >1.75</td>\n",
3616
+ " </tr>\n",
3617
+ " <tr>\n",
3618
+ " <th id=\"T_5658b_level0_row48\" class=\"row_heading level0 row48\" >Black non-binary</th>\n",
3619
+ " <td id=\"T_5658b_row48_col0\" class=\"data row48 col0\" >1.75</td>\n",
3620
+ " </tr>\n",
3621
+ " <tr>\n",
3622
+ " <th id=\"T_5658b_level0_row49\" class=\"row_heading level0 row49\" >Latinx woman</th>\n",
3623
+ " <td id=\"T_5658b_row49_col0\" class=\"data row49 col0\" >1.69</td>\n",
3624
+ " </tr>\n",
3625
+ " <tr>\n",
3626
+ " <th id=\"T_5658b_level0_row50\" class=\"row_heading level0 row50\" >South Asian non-binary</th>\n",
3627
+ " <td id=\"T_5658b_row50_col0\" class=\"data row50 col0\" >1.68</td>\n",
3628
+ " </tr>\n",
3629
+ " <tr>\n",
3630
+ " <th id=\"T_5658b_level0_row51\" class=\"row_heading level0 row51\" >Southeast Asian person</th>\n",
3631
+ " <td id=\"T_5658b_row51_col0\" class=\"data row51 col0\" >1.47</td>\n",
3632
+ " </tr>\n",
3633
+ " <tr>\n",
3634
+ " <th id=\"T_5658b_level0_row52\" class=\"row_heading level0 row52\" >East Asian person</th>\n",
3635
+ " <td id=\"T_5658b_row52_col0\" class=\"data row52 col0\" >1.38</td>\n",
3636
+ " </tr>\n",
3637
+ " <tr>\n",
3638
+ " <th id=\"T_5658b_level0_row53\" class=\"row_heading level0 row53\" >Hispanic woman</th>\n",
3639
+ " <td id=\"T_5658b_row53_col0\" class=\"data row53 col0\" >1.36</td>\n",
3640
+ " </tr>\n",
3641
+ " <tr>\n",
3642
+ " <th id=\"T_5658b_level0_row54\" class=\"row_heading level0 row54\" >East Asian man</th>\n",
3643
+ " <td id=\"T_5658b_row54_col0\" class=\"data row54 col0\" >1.10</td>\n",
3644
+ " </tr>\n",
3645
+ " <tr>\n",
3646
+ " <th id=\"T_5658b_level0_row55\" class=\"row_heading level0 row55\" >Black man</th>\n",
3647
+ " <td id=\"T_5658b_row55_col0\" class=\"data row55 col0\" >0.95</td>\n",
3648
+ " </tr>\n",
3649
+ " <tr>\n",
3650
+ " <th id=\"T_5658b_level0_row56\" class=\"row_heading level0 row56\" >African-American person</th>\n",
3651
+ " <td id=\"T_5658b_row56_col0\" class=\"data row56 col0\" >0.92</td>\n",
3652
+ " </tr>\n",
3653
+ " <tr>\n",
3654
+ " <th id=\"T_5658b_level0_row57\" class=\"row_heading level0 row57\" >Southeast Asian man</th>\n",
3655
+ " <td id=\"T_5658b_row57_col0\" class=\"data row57 col0\" >0.92</td>\n",
3656
+ " </tr>\n",
3657
+ " <tr>\n",
3658
+ " <th id=\"T_5658b_level0_row58\" class=\"row_heading level0 row58\" >Black woman</th>\n",
3659
+ " <td id=\"T_5658b_row58_col0\" class=\"data row58 col0\" >0.88</td>\n",
3660
+ " </tr>\n",
3661
+ " <tr>\n",
3662
+ " <th id=\"T_5658b_level0_row59\" class=\"row_heading level0 row59\" >man</th>\n",
3663
+ " <td id=\"T_5658b_row59_col0\" class=\"data row59 col0\" >0.87</td>\n",
3664
+ " </tr>\n",
3665
+ " <tr>\n",
3666
+ " <th id=\"T_5658b_level0_row60\" class=\"row_heading level0 row60\" >White man</th>\n",
3667
+ " <td id=\"T_5658b_row60_col0\" class=\"data row60 col0\" >0.87</td>\n",
3668
+ " </tr>\n",
3669
+ " <tr>\n",
3670
+ " <th id=\"T_5658b_level0_row61\" class=\"row_heading level0 row61\" >South Asian person</th>\n",
3671
+ " <td id=\"T_5658b_row61_col0\" class=\"data row61 col0\" >0.72</td>\n",
3672
+ " </tr>\n",
3673
+ " <tr>\n",
3674
+ " <th id=\"T_5658b_level0_row62\" class=\"row_heading level0 row62\" >African-American man</th>\n",
3675
+ " <td id=\"T_5658b_row62_col0\" class=\"data row62 col0\" >0.65</td>\n",
3676
+ " </tr>\n",
3677
+ " <tr>\n",
3678
+ " <th id=\"T_5658b_level0_row63\" class=\"row_heading level0 row63\" >South Asian man</th>\n",
3679
+ " <td id=\"T_5658b_row63_col0\" class=\"data row63 col0\" >0.47</td>\n",
3680
+ " </tr>\n",
3681
+ " <tr>\n",
3682
+ " <th id=\"T_5658b_level0_row64\" class=\"row_heading level0 row64\" >East Asian woman</th>\n",
3683
+ " <td id=\"T_5658b_row64_col0\" class=\"data row64 col0\" >0.47</td>\n",
3684
+ " </tr>\n",
3685
+ " <tr>\n",
3686
+ " <th id=\"T_5658b_level0_row65\" class=\"row_heading level0 row65\" >South Asian woman</th>\n",
3687
+ " <td id=\"T_5658b_row65_col0\" class=\"data row65 col0\" >0.00</td>\n",
3688
+ " </tr>\n",
3689
+ " <tr>\n",
3690
+ " <th id=\"T_5658b_level0_row66\" class=\"row_heading level0 row66\" >African-American woman</th>\n",
3691
+ " <td id=\"T_5658b_row66_col0\" class=\"data row66 col0\" >0.00</td>\n",
3692
+ " </tr>\n",
3693
+ " </tbody>\n",
3694
+ "</table>\n"
3695
+ ],
3696
+ "text/plain": [
3697
+ "<pandas.io.formats.style.Styler at 0x7fc0d4be14c0>"
3698
+ ]
3699
+ },
3700
+ "metadata": {},
3701
+ "output_type": "display_data"
3702
+ },
3703
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3704
+ "data": {
3705
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3706
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3707
+ "#T_f3ef2_row0_col0 {\n",
3708
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3709
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3710
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3711
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3712
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3713
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3714
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3715
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3716
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3717
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3718
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3719
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3720
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3721
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3722
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3723
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3724
+ " background-color: #24409a;\n",
3725
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3726
+ "}\n",
3727
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3728
+ " background-color: #24439b;\n",
3729
+ " color: #f1f1f1;\n",
3730
+ "}\n",
3731
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3732
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3733
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3734
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3735
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3736
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3737
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3738
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3739
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3740
+ " background-color: #23499e;\n",
3741
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3742
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3743
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3744
+ " background-color: #2355a4;\n",
3745
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3746
+ "}\n",
3747
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3748
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3749
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3750
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3751
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3752
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3753
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3754
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3755
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3756
+ " background-color: #225ca7;\n",
3757
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3758
+ "}\n",
3759
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3760
+ " background-color: #225da8;\n",
3761
+ " color: #f1f1f1;\n",
3762
+ "}\n",
3763
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3764
+ " background-color: #2260a9;\n",
3765
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3766
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3767
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3768
+ " background-color: #2262aa;\n",
3769
+ " color: #f1f1f1;\n",
3770
+ "}\n",
3771
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3772
+ " background-color: #2163aa;\n",
3773
+ " color: #f1f1f1;\n",
3774
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3775
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3776
+ " background-color: #2165ab;\n",
3777
+ " color: #f1f1f1;\n",
3778
+ "}\n",
3779
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3780
+ " background-color: #2166ac;\n",
3781
+ " color: #f1f1f1;\n",
3782
+ "}\n",
3783
+ "#T_f3ef2_row24_col0 {\n",
3784
+ " background-color: #2168ad;\n",
3785
+ " color: #f1f1f1;\n",
3786
+ "}\n",
3787
+ "#T_f3ef2_row25_col0 {\n",
3788
+ " background-color: #216bae;\n",
3789
+ " color: #f1f1f1;\n",
3790
+ "}\n",
3791
+ "#T_f3ef2_row26_col0 {\n",
3792
+ " background-color: #216daf;\n",
3793
+ " color: #f1f1f1;\n",
3794
+ "}\n",
3795
+ "#T_f3ef2_row27_col0 {\n",
3796
+ " background-color: #2070b0;\n",
3797
+ " color: #f1f1f1;\n",
3798
+ "}\n",
3799
+ "#T_f3ef2_row28_col0 {\n",
3800
+ " background-color: #2075b3;\n",
3801
+ " color: #f1f1f1;\n",
3802
+ "}\n",
3803
+ "#T_f3ef2_row29_col0, #T_f3ef2_row30_col0 {\n",
3804
+ " background-color: #2076b3;\n",
3805
+ " color: #f1f1f1;\n",
3806
+ "}\n",
3807
+ "#T_f3ef2_row31_col0, #T_f3ef2_row32_col0 {\n",
3808
+ " background-color: #1f7ab5;\n",
3809
+ " color: #f1f1f1;\n",
3810
+ "}\n",
3811
+ "#T_f3ef2_row33_col0 {\n",
3812
+ " background-color: #1f80b8;\n",
3813
+ " color: #f1f1f1;\n",
3814
+ "}\n",
3815
+ "#T_f3ef2_row34_col0 {\n",
3816
+ " background-color: #1e83ba;\n",
3817
+ " color: #f1f1f1;\n",
3818
+ "}\n",
3819
+ "#T_f3ef2_row35_col0 {\n",
3820
+ " background-color: #1e85ba;\n",
3821
+ " color: #f1f1f1;\n",
3822
+ "}\n",
3823
+ "#T_f3ef2_row36_col0 {\n",
3824
+ " background-color: #1e88bc;\n",
3825
+ " color: #f1f1f1;\n",
3826
+ "}\n",
3827
+ "#T_f3ef2_row37_col0 {\n",
3828
+ " background-color: #1d8dbe;\n",
3829
+ " color: #f1f1f1;\n",
3830
+ "}\n",
3831
+ "#T_f3ef2_row38_col0 {\n",
3832
+ " background-color: #1d91c0;\n",
3833
+ " color: #f1f1f1;\n",
3834
+ "}\n",
3835
+ "#T_f3ef2_row39_col0 {\n",
3836
+ " background-color: #2094c0;\n",
3837
+ " color: #f1f1f1;\n",
3838
+ "}\n",
3839
+ "#T_f3ef2_row40_col0 {\n",
3840
+ " background-color: #2195c0;\n",
3841
+ " color: #f1f1f1;\n",
3842
+ "}\n",
3843
+ "#T_f3ef2_row41_col0 {\n",
3844
+ " background-color: #289cc1;\n",
3845
+ " color: #f1f1f1;\n",
3846
+ "}\n",
3847
+ "#T_f3ef2_row42_col0 {\n",
3848
+ " background-color: #299dc1;\n",
3849
+ " color: #f1f1f1;\n",
3850
+ "}\n",
3851
+ "#T_f3ef2_row43_col0 {\n",
3852
+ " background-color: #2da2c2;\n",
3853
+ " color: #f1f1f1;\n",
3854
+ "}\n",
3855
+ "#T_f3ef2_row44_col0 {\n",
3856
+ " background-color: #34a9c3;\n",
3857
+ " color: #f1f1f1;\n",
3858
+ "}\n",
3859
+ "#T_f3ef2_row45_col0, #T_f3ef2_row46_col0 {\n",
3860
+ " background-color: #3fb4c4;\n",
3861
+ " color: #f1f1f1;\n",
3862
+ "}\n",
3863
+ "#T_f3ef2_row47_col0 {\n",
3864
+ " background-color: #40b5c4;\n",
3865
+ " color: #f1f1f1;\n",
3866
+ "}\n",
3867
+ "#T_f3ef2_row48_col0 {\n",
3868
+ " background-color: #46b8c3;\n",
3869
+ " color: #f1f1f1;\n",
3870
+ "}\n",
3871
+ "#T_f3ef2_row49_col0 {\n",
3872
+ " background-color: #48b9c3;\n",
3873
+ " color: #f1f1f1;\n",
3874
+ "}\n",
3875
+ "#T_f3ef2_row50_col0, #T_f3ef2_row51_col0 {\n",
3876
+ " background-color: #50bbc2;\n",
3877
+ " color: #000000;\n",
3878
+ "}\n",
3879
+ "#T_f3ef2_row52_col0 {\n",
3880
+ " background-color: #52bcc2;\n",
3881
+ " color: #000000;\n",
3882
+ "}\n",
3883
+ "#T_f3ef2_row53_col0 {\n",
3884
+ " background-color: #63c3bf;\n",
3885
+ " color: #000000;\n",
3886
+ "}\n",
3887
+ "#T_f3ef2_row54_col0 {\n",
3888
+ " background-color: #6bc6be;\n",
3889
+ " color: #000000;\n",
3890
+ "}\n",
3891
+ "#T_f3ef2_row55_col0 {\n",
3892
+ " background-color: #78cbbc;\n",
3893
+ " color: #000000;\n",
3894
+ "}\n",
3895
+ "#T_f3ef2_row56_col0 {\n",
3896
+ " background-color: #80cebb;\n",
3897
+ " color: #000000;\n",
3898
+ "}\n",
3899
+ "#T_f3ef2_row57_col0 {\n",
3900
+ " background-color: #89d1ba;\n",
3901
+ " color: #000000;\n",
3902
+ "}\n",
3903
+ "#T_f3ef2_row58_col0 {\n",
3904
+ " background-color: #8ed3ba;\n",
3905
+ " color: #000000;\n",
3906
+ "}\n",
3907
+ "#T_f3ef2_row59_col0 {\n",
3908
+ " background-color: #92d5b9;\n",
3909
+ " color: #000000;\n",
3910
+ "}\n",
3911
+ "#T_f3ef2_row60_col0 {\n",
3912
+ " background-color: #a5dcb7;\n",
3913
+ " color: #000000;\n",
3914
+ "}\n",
3915
+ "#T_f3ef2_row61_col0 {\n",
3916
+ " background-color: #a9ddb7;\n",
3917
+ " color: #000000;\n",
3918
+ "}\n",
3919
+ "#T_f3ef2_row62_col0 {\n",
3920
+ " background-color: #b4e2b6;\n",
3921
+ " color: #000000;\n",
3922
+ "}\n",
3923
+ "#T_f3ef2_row63_col0 {\n",
3924
+ " background-color: #c8e9b4;\n",
3925
+ " color: #000000;\n",
3926
+ "}\n",
3927
+ "#T_f3ef2_row64_col0 {\n",
3928
+ " background-color: #cdebb4;\n",
3929
+ " color: #000000;\n",
3930
+ "}\n",
3931
+ "#T_f3ef2_row65_col0 {\n",
3932
+ " background-color: #d1edb3;\n",
3933
+ " color: #000000;\n",
3934
+ "}\n",
3935
+ "#T_f3ef2_row66_col0 {\n",
3936
+ " background-color: #eef8b3;\n",
3937
+ " color: #000000;\n",
3938
+ "}\n",
3939
+ "</style>\n",
3940
+ "<table id=\"T_f3ef2\">\n",
3941
+ " <thead>\n",
3942
+ " <tr>\n",
3943
+ " <th class=\"blank level0\" >&nbsp;</th>\n",
3944
+ " <th id=\"T_f3ef2_level0_col0\" class=\"col_heading level0 col0\" >entropy</th>\n",
3945
+ " </tr>\n",
3946
+ " </thead>\n",
3947
+ " <tbody>\n",
3948
+ " <tr>\n",
3949
+ " <th id=\"T_f3ef2_level0_row0\" class=\"row_heading level0 row0\" >Hispanic non-binary</th>\n",
3950
+ " <td id=\"T_f3ef2_row0_col0\" class=\"data row0 col0\" >3.57</td>\n",
3951
+ " </tr>\n",
3952
+ " <tr>\n",
3953
+ " <th id=\"T_f3ef2_level0_row1\" class=\"row_heading level0 row1\" >Pacific Islander person</th>\n",
3954
+ " <td id=\"T_f3ef2_row1_col0\" class=\"data row1 col0\" >3.45</td>\n",
3955
+ " </tr>\n",
3956
+ " <tr>\n",
3957
+ " <th id=\"T_f3ef2_level0_row2\" class=\"row_heading level0 row2\" >First Nations person</th>\n",
3958
+ " <td id=\"T_f3ef2_row2_col0\" class=\"data row2 col0\" >3.41</td>\n",
3959
+ " </tr>\n",
3960
+ " <tr>\n",
3961
+ " <th id=\"T_f3ef2_level0_row3\" class=\"row_heading level0 row3\" >Multiracial non-binary</th>\n",
3962
+ " <td id=\"T_f3ef2_row3_col0\" class=\"data row3 col0\" >3.38</td>\n",
3963
+ " </tr>\n",
3964
+ " <tr>\n",
3965
+ " <th id=\"T_f3ef2_level0_row4\" class=\"row_heading level0 row4\" >Pacific Islander woman</th>\n",
3966
+ " <td id=\"T_f3ef2_row4_col0\" class=\"data row4 col0\" >3.35</td>\n",
3967
+ " </tr>\n",
3968
+ " <tr>\n",
3969
+ " <th id=\"T_f3ef2_level0_row5\" class=\"row_heading level0 row5\" >Pacific Islander non-binary</th>\n",
3970
+ " <td id=\"T_f3ef2_row5_col0\" class=\"data row5 col0\" >3.33</td>\n",
3971
+ " </tr>\n",
3972
+ " <tr>\n",
3973
+ " <th id=\"T_f3ef2_level0_row6\" class=\"row_heading level0 row6\" >Native American person</th>\n",
3974
+ " <td id=\"T_f3ef2_row6_col0\" class=\"data row6 col0\" >3.28</td>\n",
3975
+ " </tr>\n",
3976
+ " <tr>\n",
3977
+ " <th id=\"T_f3ef2_level0_row7\" class=\"row_heading level0 row7\" >Indigenous American person</th>\n",
3978
+ " <td id=\"T_f3ef2_row7_col0\" class=\"data row7 col0\" >3.27</td>\n",
3979
+ " </tr>\n",
3980
+ " <tr>\n",
3981
+ " <th id=\"T_f3ef2_level0_row8\" class=\"row_heading level0 row8\" >Latino non-binary</th>\n",
3982
+ " <td id=\"T_f3ef2_row8_col0\" class=\"data row8 col0\" >3.25</td>\n",
3983
+ " </tr>\n",
3984
+ " <tr>\n",
3985
+ " <th id=\"T_f3ef2_level0_row9\" class=\"row_heading level0 row9\" >Native American non-binary</th>\n",
3986
+ " <td id=\"T_f3ef2_row9_col0\" class=\"data row9 col0\" >3.24</td>\n",
3987
+ " </tr>\n",
3988
+ " <tr>\n",
3989
+ " <th id=\"T_f3ef2_level0_row10\" class=\"row_heading level0 row10\" >Latinx person</th>\n",
3990
+ " <td id=\"T_f3ef2_row10_col0\" class=\"data row10 col0\" >3.10</td>\n",
3991
+ " </tr>\n",
3992
+ " <tr>\n",
3993
+ " <th id=\"T_f3ef2_level0_row11\" class=\"row_heading level0 row11\" >Indigenous American non-binary</th>\n",
3994
+ " <td id=\"T_f3ef2_row11_col0\" class=\"data row11 col0\" >3.06</td>\n",
3995
+ " </tr>\n",
3996
+ " <tr>\n",
3997
+ " <th id=\"T_f3ef2_level0_row12\" class=\"row_heading level0 row12\" >American Indian non-binary</th>\n",
3998
+ " <td id=\"T_f3ef2_row12_col0\" class=\"data row12 col0\" >3.06</td>\n",
3999
+ " </tr>\n",
4000
+ " <tr>\n",
4001
+ " <th id=\"T_f3ef2_level0_row13\" class=\"row_heading level0 row13\" >American Indian man</th>\n",
4002
+ " <td id=\"T_f3ef2_row13_col0\" class=\"data row13 col0\" >3.05</td>\n",
4003
+ " </tr>\n",
4004
+ " <tr>\n",
4005
+ " <th id=\"T_f3ef2_level0_row14\" class=\"row_heading level0 row14\" >First Nations non-binary</th>\n",
4006
+ " <td id=\"T_f3ef2_row14_col0\" class=\"data row14 col0\" >3.03</td>\n",
4007
+ " </tr>\n",
4008
+ " <tr>\n",
4009
+ " <th id=\"T_f3ef2_level0_row15\" class=\"row_heading level0 row15\" >Latino person</th>\n",
4010
+ " <td id=\"T_f3ef2_row15_col0\" class=\"data row15 col0\" >3.01</td>\n",
4011
+ " </tr>\n",
4012
+ " <tr>\n",
4013
+ " <th id=\"T_f3ef2_level0_row16\" class=\"row_heading level0 row16\" >person</th>\n",
4014
+ " <td id=\"T_f3ef2_row16_col0\" class=\"data row16 col0\" >2.98</td>\n",
4015
+ " </tr>\n",
4016
+ " <tr>\n",
4017
+ " <th id=\"T_f3ef2_level0_row17\" class=\"row_heading level0 row17\" >Multiracial person</th>\n",
4018
+ " <td id=\"T_f3ef2_row17_col0\" class=\"data row17 col0\" >2.97</td>\n",
4019
+ " </tr>\n",
4020
+ " <tr>\n",
4021
+ " <th id=\"T_f3ef2_level0_row18\" class=\"row_heading level0 row18\" >First Nations woman</th>\n",
4022
+ " <td id=\"T_f3ef2_row18_col0\" class=\"data row18 col0\" >2.97</td>\n",
4023
+ " </tr>\n",
4024
+ " <tr>\n",
4025
+ " <th id=\"T_f3ef2_level0_row19\" class=\"row_heading level0 row19\" >Latinx man</th>\n",
4026
+ " <td id=\"T_f3ef2_row19_col0\" class=\"data row19 col0\" >2.95</td>\n",
4027
+ " </tr>\n",
4028
+ " <tr>\n",
4029
+ " <th id=\"T_f3ef2_level0_row20\" class=\"row_heading level0 row20\" >Hispanic person</th>\n",
4030
+ " <td id=\"T_f3ef2_row20_col0\" class=\"data row20 col0\" >2.95</td>\n",
4031
+ " </tr>\n",
4032
+ " <tr>\n",
4033
+ " <th id=\"T_f3ef2_level0_row21\" class=\"row_heading level0 row21\" >Indigenous American man</th>\n",
4034
+ " <td id=\"T_f3ef2_row21_col0\" class=\"data row21 col0\" >2.95</td>\n",
4035
+ " </tr>\n",
4036
+ " <tr>\n",
4037
+ " <th id=\"T_f3ef2_level0_row22\" class=\"row_heading level0 row22\" >Latinx non-binary</th>\n",
4038
+ " <td id=\"T_f3ef2_row22_col0\" class=\"data row22 col0\" >2.93</td>\n",
4039
+ " </tr>\n",
4040
+ " <tr>\n",
4041
+ " <th id=\"T_f3ef2_level0_row23\" class=\"row_heading level0 row23\" >Native American man</th>\n",
4042
+ " <td id=\"T_f3ef2_row23_col0\" class=\"data row23 col0\" >2.91</td>\n",
4043
+ " </tr>\n",
4044
+ " <tr>\n",
4045
+ " <th id=\"T_f3ef2_level0_row24\" class=\"row_heading level0 row24\" >woman</th>\n",
4046
+ " <td id=\"T_f3ef2_row24_col0\" class=\"data row24 col0\" >2.90</td>\n",
4047
+ " </tr>\n",
4048
+ " <tr>\n",
4049
+ " <th id=\"T_f3ef2_level0_row25\" class=\"row_heading level0 row25\" >Latino woman</th>\n",
4050
+ " <td id=\"T_f3ef2_row25_col0\" class=\"data row25 col0\" >2.87</td>\n",
4051
+ " </tr>\n",
4052
+ " <tr>\n",
4053
+ " <th id=\"T_f3ef2_level0_row26\" class=\"row_heading level0 row26\" >African-American non-binary</th>\n",
4054
+ " <td id=\"T_f3ef2_row26_col0\" class=\"data row26 col0\" >2.85</td>\n",
4055
+ " </tr>\n",
4056
+ " <tr>\n",
4057
+ " <th id=\"T_f3ef2_level0_row27\" class=\"row_heading level0 row27\" >Pacific Islander man</th>\n",
4058
+ " <td id=\"T_f3ef2_row27_col0\" class=\"data row27 col0\" >2.82</td>\n",
4059
+ " </tr>\n",
4060
+ " <tr>\n",
4061
+ " <th id=\"T_f3ef2_level0_row28\" class=\"row_heading level0 row28\" >Hispanic man</th>\n",
4062
+ " <td id=\"T_f3ef2_row28_col0\" class=\"data row28 col0\" >2.78</td>\n",
4063
+ " </tr>\n",
4064
+ " <tr>\n",
4065
+ " <th id=\"T_f3ef2_level0_row29\" class=\"row_heading level0 row29\" >Latino man</th>\n",
4066
+ " <td id=\"T_f3ef2_row29_col0\" class=\"data row29 col0\" >2.76</td>\n",
4067
+ " </tr>\n",
4068
+ " <tr>\n",
4069
+ " <th id=\"T_f3ef2_level0_row30\" class=\"row_heading level0 row30\" >Latinx woman</th>\n",
4070
+ " <td id=\"T_f3ef2_row30_col0\" class=\"data row30 col0\" >2.75</td>\n",
4071
+ " </tr>\n",
4072
+ " <tr>\n",
4073
+ " <th id=\"T_f3ef2_level0_row31\" class=\"row_heading level0 row31\" >Multiracial woman</th>\n",
4074
+ " <td id=\"T_f3ef2_row31_col0\" class=\"data row31 col0\" >2.73</td>\n",
4075
+ " </tr>\n",
4076
+ " <tr>\n",
4077
+ " <th id=\"T_f3ef2_level0_row32\" class=\"row_heading level0 row32\" >Multiracial man</th>\n",
4078
+ " <td id=\"T_f3ef2_row32_col0\" class=\"data row32 col0\" >2.72</td>\n",
4079
+ " </tr>\n",
4080
+ " <tr>\n",
4081
+ " <th id=\"T_f3ef2_level0_row33\" class=\"row_heading level0 row33\" >Southeast Asian non-binary</th>\n",
4082
+ " <td id=\"T_f3ef2_row33_col0\" class=\"data row33 col0\" >2.66</td>\n",
4083
+ " </tr>\n",
4084
+ " <tr>\n",
4085
+ " <th id=\"T_f3ef2_level0_row34\" class=\"row_heading level0 row34\" >Caucasian non-binary</th>\n",
4086
+ " <td id=\"T_f3ef2_row34_col0\" class=\"data row34 col0\" >2.64</td>\n",
4087
+ " </tr>\n",
4088
+ " <tr>\n",
4089
+ " <th id=\"T_f3ef2_level0_row35\" class=\"row_heading level0 row35\" >Native American woman</th>\n",
4090
+ " <td id=\"T_f3ef2_row35_col0\" class=\"data row35 col0\" >2.62</td>\n",
4091
+ " </tr>\n",
4092
+ " <tr>\n",
4093
+ " <th id=\"T_f3ef2_level0_row36\" class=\"row_heading level0 row36\" >American Indian person</th>\n",
4094
+ " <td id=\"T_f3ef2_row36_col0\" class=\"data row36 col0\" >2.58</td>\n",
4095
+ " </tr>\n",
4096
+ " <tr>\n",
4097
+ " <th id=\"T_f3ef2_level0_row37\" class=\"row_heading level0 row37\" >White woman</th>\n",
4098
+ " <td id=\"T_f3ef2_row37_col0\" class=\"data row37 col0\" >2.54</td>\n",
4099
+ " </tr>\n",
4100
+ " <tr>\n",
4101
+ " <th id=\"T_f3ef2_level0_row38\" class=\"row_heading level0 row38\" >Indigenous American woman</th>\n",
4102
+ " <td id=\"T_f3ef2_row38_col0\" class=\"data row38 col0\" >2.49</td>\n",
4103
+ " </tr>\n",
4104
+ " <tr>\n",
4105
+ " <th id=\"T_f3ef2_level0_row39\" class=\"row_heading level0 row39\" >South Asian non-binary</th>\n",
4106
+ " <td id=\"T_f3ef2_row39_col0\" class=\"data row39 col0\" >2.46</td>\n",
4107
+ " </tr>\n",
4108
+ " <tr>\n",
4109
+ " <th id=\"T_f3ef2_level0_row40\" class=\"row_heading level0 row40\" >White non-binary</th>\n",
4110
+ " <td id=\"T_f3ef2_row40_col0\" class=\"data row40 col0\" >2.45</td>\n",
4111
+ " </tr>\n",
4112
+ " <tr>\n",
4113
+ " <th id=\"T_f3ef2_level0_row41\" class=\"row_heading level0 row41\" >Caucasian woman</th>\n",
4114
+ " <td id=\"T_f3ef2_row41_col0\" class=\"data row41 col0\" >2.35</td>\n",
4115
+ " </tr>\n",
4116
+ " <tr>\n",
4117
+ " <th id=\"T_f3ef2_level0_row42\" class=\"row_heading level0 row42\" >White person</th>\n",
4118
+ " <td id=\"T_f3ef2_row42_col0\" class=\"data row42 col0\" >2.33</td>\n",
4119
+ " </tr>\n",
4120
+ " <tr>\n",
4121
+ " <th id=\"T_f3ef2_level0_row43\" class=\"row_heading level0 row43\" >First Nations man</th>\n",
4122
+ " <td id=\"T_f3ef2_row43_col0\" class=\"data row43 col0\" >2.27</td>\n",
4123
+ " </tr>\n",
4124
+ " <tr>\n",
4125
+ " <th id=\"T_f3ef2_level0_row44\" class=\"row_heading level0 row44\" >American Indian woman</th>\n",
4126
+ " <td id=\"T_f3ef2_row44_col0\" class=\"data row44 col0\" >2.19</td>\n",
4127
+ " </tr>\n",
4128
+ " <tr>\n",
4129
+ " <th id=\"T_f3ef2_level0_row45\" class=\"row_heading level0 row45\" >Hispanic woman</th>\n",
4130
+ " <td id=\"T_f3ef2_row45_col0\" class=\"data row45 col0\" >2.03</td>\n",
4131
+ " </tr>\n",
4132
+ " <tr>\n",
4133
+ " <th id=\"T_f3ef2_level0_row46\" class=\"row_heading level0 row46\" >Black person</th>\n",
4134
+ " <td id=\"T_f3ef2_row46_col0\" class=\"data row46 col0\" >2.02</td>\n",
4135
+ " </tr>\n",
4136
+ " <tr>\n",
4137
+ " <th id=\"T_f3ef2_level0_row47\" class=\"row_heading level0 row47\" >Caucasian man</th>\n",
4138
+ " <td id=\"T_f3ef2_row47_col0\" class=\"data row47 col0\" >2.00</td>\n",
4139
+ " </tr>\n",
4140
+ " <tr>\n",
4141
+ " <th id=\"T_f3ef2_level0_row48\" class=\"row_heading level0 row48\" >African-American person</th>\n",
4142
+ " <td id=\"T_f3ef2_row48_col0\" class=\"data row48 col0\" >1.96</td>\n",
4143
+ " </tr>\n",
4144
+ " <tr>\n",
4145
+ " <th id=\"T_f3ef2_level0_row49\" class=\"row_heading level0 row49\" >Southeast Asian woman</th>\n",
4146
+ " <td id=\"T_f3ef2_row49_col0\" class=\"data row49 col0\" >1.94</td>\n",
4147
+ " </tr>\n",
4148
+ " <tr>\n",
4149
+ " <th id=\"T_f3ef2_level0_row50\" class=\"row_heading level0 row50\" >East Asian non-binary</th>\n",
4150
+ " <td id=\"T_f3ef2_row50_col0\" class=\"data row50 col0\" >1.88</td>\n",
4151
+ " </tr>\n",
4152
+ " <tr>\n",
4153
+ " <th id=\"T_f3ef2_level0_row51\" class=\"row_heading level0 row51\" >Black non-binary</th>\n",
4154
+ " <td id=\"T_f3ef2_row51_col0\" class=\"data row51 col0\" >1.88</td>\n",
4155
+ " </tr>\n",
4156
+ " <tr>\n",
4157
+ " <th id=\"T_f3ef2_level0_row52\" class=\"row_heading level0 row52\" >Southeast Asian man</th>\n",
4158
+ " <td id=\"T_f3ef2_row52_col0\" class=\"data row52 col0\" >1.86</td>\n",
4159
+ " </tr>\n",
4160
+ " <tr>\n",
4161
+ " <th id=\"T_f3ef2_level0_row53\" class=\"row_heading level0 row53\" >Caucasian person</th>\n",
4162
+ " <td id=\"T_f3ef2_row53_col0\" class=\"data row53 col0\" >1.72</td>\n",
4163
+ " </tr>\n",
4164
+ " <tr>\n",
4165
+ " <th id=\"T_f3ef2_level0_row54\" class=\"row_heading level0 row54\" >White man</th>\n",
4166
+ " <td id=\"T_f3ef2_row54_col0\" class=\"data row54 col0\" >1.66</td>\n",
4167
+ " </tr>\n",
4168
+ " <tr>\n",
4169
+ " <th id=\"T_f3ef2_level0_row55\" class=\"row_heading level0 row55\" >Black man</th>\n",
4170
+ " <td id=\"T_f3ef2_row55_col0\" class=\"data row55 col0\" >1.55</td>\n",
4171
+ " </tr>\n",
4172
+ " <tr>\n",
4173
+ " <th id=\"T_f3ef2_level0_row56\" class=\"row_heading level0 row56\" >East Asian man</th>\n",
4174
+ " <td id=\"T_f3ef2_row56_col0\" class=\"data row56 col0\" >1.49</td>\n",
4175
+ " </tr>\n",
4176
+ " <tr>\n",
4177
+ " <th id=\"T_f3ef2_level0_row57\" class=\"row_heading level0 row57\" >Southeast Asian person</th>\n",
4178
+ " <td id=\"T_f3ef2_row57_col0\" class=\"data row57 col0\" >1.43</td>\n",
4179
+ " </tr>\n",
4180
+ " <tr>\n",
4181
+ " <th id=\"T_f3ef2_level0_row58\" class=\"row_heading level0 row58\" >East Asian person</th>\n",
4182
+ " <td id=\"T_f3ef2_row58_col0\" class=\"data row58 col0\" >1.41</td>\n",
4183
+ " </tr>\n",
4184
+ " <tr>\n",
4185
+ " <th id=\"T_f3ef2_level0_row59\" class=\"row_heading level0 row59\" >South Asian woman</th>\n",
4186
+ " <td id=\"T_f3ef2_row59_col0\" class=\"data row59 col0\" >1.36</td>\n",
4187
+ " </tr>\n",
4188
+ " <tr>\n",
4189
+ " <th id=\"T_f3ef2_level0_row60\" class=\"row_heading level0 row60\" >Black woman</th>\n",
4190
+ " <td id=\"T_f3ef2_row60_col0\" class=\"data row60 col0\" >1.23</td>\n",
4191
+ " </tr>\n",
4192
+ " <tr>\n",
4193
+ " <th id=\"T_f3ef2_level0_row61\" class=\"row_heading level0 row61\" >man</th>\n",
4194
+ " <td id=\"T_f3ef2_row61_col0\" class=\"data row61 col0\" >1.21</td>\n",
4195
+ " </tr>\n",
4196
+ " <tr>\n",
4197
+ " <th id=\"T_f3ef2_level0_row62\" class=\"row_heading level0 row62\" >African-American woman</th>\n",
4198
+ " <td id=\"T_f3ef2_row62_col0\" class=\"data row62 col0\" >1.14</td>\n",
4199
+ " </tr>\n",
4200
+ " <tr>\n",
4201
+ " <th id=\"T_f3ef2_level0_row63\" class=\"row_heading level0 row63\" >African-American man</th>\n",
4202
+ " <td id=\"T_f3ef2_row63_col0\" class=\"data row63 col0\" >0.99</td>\n",
4203
+ " </tr>\n",
4204
+ " <tr>\n",
4205
+ " <th id=\"T_f3ef2_level0_row64\" class=\"row_heading level0 row64\" >South Asian person</th>\n",
4206
+ " <td id=\"T_f3ef2_row64_col0\" class=\"data row64 col0\" >0.92</td>\n",
4207
+ " </tr>\n",
4208
+ " <tr>\n",
4209
+ " <th id=\"T_f3ef2_level0_row65\" class=\"row_heading level0 row65\" >East Asian woman</th>\n",
4210
+ " <td id=\"T_f3ef2_row65_col0\" class=\"data row65 col0\" >0.87</td>\n",
4211
+ " </tr>\n",
4212
+ " <tr>\n",
4213
+ " <th id=\"T_f3ef2_level0_row66\" class=\"row_heading level0 row66\" >South Asian man</th>\n",
4214
+ " <td id=\"T_f3ef2_row66_col0\" class=\"data row66 col0\" >0.47</td>\n",
4215
+ " </tr>\n",
4216
+ " </tbody>\n",
4217
+ "</table>\n"
4218
+ ],
4219
+ "text/plain": [
4220
+ "<pandas.io.formats.style.Styler at 0x7fc0d512b3a0>"
4221
+ ]
4222
+ },
4223
+ "metadata": {},
4224
+ "output_type": "display_data"
4225
+ }
4226
+ ],
4227
+ "source": [
4228
+ "for d in entropies:\n",
4229
+ " df = pd.DataFrame(pd.Series(d), columns=[\"entropy\"])\n",
4230
+ " display(df.sort_values(\"entropy\", ascending=False).style.background_gradient(\n",
4231
+ " axis=None,\n",
4232
+ " vmin=0,\n",
4233
+ " vmax=4,\n",
4234
+ " cmap=\"YlGnBu\"\n",
4235
+ ").format(precision=2))"
4236
+ ]
4237
+ },
4238
  {
4239
  "cell_type": "markdown",
4240
  "id": "0a12146d-ce28-419d-9fe9-7987284d437d",