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Upload ex_ - fake patient bloodtest generator.ipynb
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data/ex_ - fake patient bloodtest generator.ipynb
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1 |
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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": []
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
|
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"cell_type": "code",
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"source": [
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"! pip install faker"
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],
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"metadata": {
|
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"colab": {
|
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"base_uri": "https://localhost:8080/"
|
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},
|
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"id": "b4GuAy2rBGxs",
|
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"outputId": "f78fa63f-63f8-4350-f216-3f671622e0cf"
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},
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"execution_count": 2,
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"outputs": [
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{
|
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"output_type": "stream",
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"name": "stdout",
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"text": [
|
35 |
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"Collecting faker\n",
|
36 |
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" Downloading Faker-24.4.0-py3-none-any.whl (1.8 MB)\n",
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37 |
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"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.8/1.8 MB\u001b[0m \u001b[31m10.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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38 |
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"\u001b[?25hRequirement already satisfied: python-dateutil>=2.4 in /usr/local/lib/python3.10/dist-packages (from faker) (2.8.2)\n",
|
39 |
+
"Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.4->faker) (1.16.0)\n",
|
40 |
+
"Installing collected packages: faker\n",
|
41 |
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"Successfully installed faker-24.4.0\n"
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]
|
43 |
+
}
|
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]
|
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},
|
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{
|
47 |
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"cell_type": "code",
|
48 |
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"execution_count": 4,
|
49 |
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"metadata": {
|
50 |
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"id": "o8w2xsKkA72N"
|
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},
|
52 |
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"outputs": [],
|
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"source": [
|
54 |
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"import pandas as pd\n",
|
55 |
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"import random\n",
|
56 |
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"from faker import Faker\n",
|
57 |
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"from datetime import datetime, timedelta\n",
|
58 |
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"from tqdm import tqdm"
|
59 |
+
]
|
60 |
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},
|
61 |
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{
|
62 |
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"cell_type": "code",
|
63 |
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"source": [
|
64 |
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"# Initialize Faker\n",
|
65 |
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"fake = Faker()\n",
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"\n",
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"# Generate data\n",
|
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"data = []\n",
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"\n",
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"for _ in tqdm(range(100)): # Changed from 20 to 100 to generate 100 rows\n",
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" first_name = fake.first_name()\n",
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" last_name = fake.last_name()\n",
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" policy_no = fake.unique.random_number(digits=8, fix_len=True)\n",
|
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" gender = random.choice(['Male', 'Female', 'Other'])\n",
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75 |
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" address = fake.address()\n",
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76 |
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" state = fake.state()\n",
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" physician_office_address = fake.address()\n",
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78 |
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" time_of_test = fake.date_time_this_decade().strftime('%Y-%m-%d %H:%M:%S') # Formatted time\n",
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"\n",
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80 |
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" # Random medical test results\n",
|
81 |
+
" a1c = round(random.uniform(4.0, 14.0), 1) # A1C levels\n",
|
82 |
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" glucose = round(random.uniform(70, 150), 1) # Glucose levels\n",
|
83 |
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" calcium = round(random.uniform(8.5, 10.2), 1) # Calcium levels\n",
|
84 |
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" electrolytes = \"Normal\" if random.choice([True, False]) else \"Abnormal\" # Electrolytes status\n",
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85 |
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" cholesterol = round(random.uniform(125, 240), 1) # Cholesterol levels\n",
|
86 |
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" esr = random.randint(0, 100) # ESR levels\n",
|
87 |
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"\n",
|
88 |
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" # Aggregating BMP results\n",
|
89 |
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" bmp_glucose = f\"Glucose: {glucose}\"\n",
|
90 |
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" bmp_calcium = f\"Calcium: {calcium}\"\n",
|
91 |
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" bmp_electrolytes = f\"Electrolytes: {electrolytes}\"\n",
|
92 |
+
"\n",
|
93 |
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" data.append([first_name, last_name, policy_no, gender, address, state, physician_office_address, time_of_test, a1c, bmp_glucose, bmp_calcium, bmp_electrolytes, cholesterol, esr])"
|
94 |
+
],
|
95 |
+
"metadata": {
|
96 |
+
"colab": {
|
97 |
+
"base_uri": "https://localhost:8080/"
|
98 |
+
},
|
99 |
+
"id": "q0JyotoZBCw8",
|
100 |
+
"outputId": "bdf3f2d3-1e10-41cc-862c-5a8fcc981a6c"
|
101 |
+
},
|
102 |
+
"execution_count": 5,
|
103 |
+
"outputs": [
|
104 |
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{
|
105 |
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"output_type": "stream",
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106 |
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"name": "stderr",
|
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"text": [
|
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+
"100%|██████████| 100/100 [00:00<00:00, 541.24it/s]\n"
|
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]
|
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+
}
|
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]
|
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},
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{
|
114 |
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"cell_type": "code",
|
115 |
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"source": [
|
116 |
+
"# Creating DataFrame\n",
|
117 |
+
"df = pd.DataFrame(data, columns=[\"First Name\", \"Last Name\", \"Policy No.\", \"Gender\", \"Address\", \"State\", \"Physician Office Address\", \"Time of Test\", \"A1C (diabetes)\", \"BMP (glucose)\", \"BMP (calcium)\", \"BMP (electrolytes)\", \"Lipid Panel (cholesterol)\", \"ESR (blood cell clumps)\"])"
|
118 |
+
],
|
119 |
+
"metadata": {
|
120 |
+
"id": "dRIS5WXJBF7M"
|
121 |
+
},
|
122 |
+
"execution_count": 6,
|
123 |
+
"outputs": []
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"cell_type": "code",
|
127 |
+
"source": [
|
128 |
+
"df"
|
129 |
+
],
|
130 |
+
"metadata": {
|
131 |
+
"colab": {
|
132 |
+
"base_uri": "https://localhost:8080/",
|
133 |
+
"height": 615
|
134 |
+
},
|
135 |
+
"id": "-YUuq4OrBO8s",
|
136 |
+
"outputId": "4b2c4bc6-9aca-487b-e6f5-e33d684bf627"
|
137 |
+
},
|
138 |
+
"execution_count": 8,
|
139 |
+
"outputs": [
|
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+
{
|
141 |
+
"output_type": "execute_result",
|
142 |
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"data": {
|
143 |
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"text/plain": [
|
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" First Name Last Name Policy No. Gender \\\n",
|
145 |
+
"0 John Williams 51405852 Male \n",
|
146 |
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"1 Matthew Barrett 86698828 Female \n",
|
147 |
+
"2 Michael Williams 97705492 Other \n",
|
148 |
+
"3 Billy Jones 42019134 Other \n",
|
149 |
+
"4 Jessica Lawson 62074003 Female \n",
|
150 |
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".. ... ... ... ... \n",
|
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+
"95 Peter Burns 58173378 Other \n",
|
152 |
+
"96 Nicole Campbell 96638320 Female \n",
|
153 |
+
"97 Jeffrey Moore 25800342 Male \n",
|
154 |
+
"98 Albert Collins 38748339 Other \n",
|
155 |
+
"99 Anthony Arias 29343897 Male \n",
|
156 |
+
"\n",
|
157 |
+
" Address State \\\n",
|
158 |
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"0 06021 Andrews Plains\\nNorth Barbaraview, WA 84509 Texas \n",
|
159 |
+
"1 02997 Deborah Path Suite 795\\nDeborahmouth, NJ... Delaware \n",
|
160 |
+
"2 4519 Joseph Extensions Apt. 395\\nPort William,... Kentucky \n",
|
161 |
+
"3 113 Rivera Plain Apt. 143\\nPort Cindy, CO 74694 South Carolina \n",
|
162 |
+
"4 82657 Ruiz Point\\nLake Christophershire, KS 37543 Delaware \n",
|
163 |
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".. ... ... \n",
|
164 |
+
"95 USCGC Parker\\nFPO AA 16320 New York \n",
|
165 |
+
"96 USS Davis\\nFPO AP 68621 Vermont \n",
|
166 |
+
"97 9240 Anthony Flat Apt. 187\\nLake Stephenberg, ... Georgia \n",
|
167 |
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"98 5230 Gary Motorway\\nWufort, VT 79419 Delaware \n",
|
168 |
+
"99 814 Christopher Meadows\\nPatriciashire, NY 73616 Arkansas \n",
|
169 |
+
"\n",
|
170 |
+
" Physician Office Address Time of Test \\\n",
|
171 |
+
"0 Unit 9742 Box 1185\\nDPO AP 13090 2021-11-25 08:48:21 \n",
|
172 |
+
"1 711 Scott Gateway Suite 873\\nWendyburgh, ME 72114 2020-05-16 18:28:15 \n",
|
173 |
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"2 732 Bryant Street Suite 463\\nNew Jessicaview, ... 2022-04-14 22:44:55 \n",
|
174 |
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|
175 |
+
"4 840 Rachel Freeway\\nPort Robert, NC 93052 2021-01-24 18:34:26 \n",
|
176 |
+
".. ... ... \n",
|
177 |
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"95 30807 Mitchell Estates\\nGregorybury, KY 95175 2020-01-16 08:08:59 \n",
|
178 |
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|
179 |
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|
180 |
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"98 79209 Garner Trafficway\\nPort William, KY 91119 2020-03-25 15:18:29 \n",
|
181 |
+
"99 035 Sharon Road Suite 873\\nNorth Jamesmouth, A... 2021-01-07 17:20:17 \n",
|
182 |
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"\n",
|
183 |
+
" A1C (diabetes) BMP (glucose) BMP (calcium) BMP (electrolytes) \\\n",
|
184 |
+
"0 8.3 Glucose: 105.1 Calcium: 9.4 Electrolytes: Normal \n",
|
185 |
+
"1 4.9 Glucose: 140.1 Calcium: 9.9 Electrolytes: Abnormal \n",
|
186 |
+
"2 8.8 Glucose: 103.6 Calcium: 9.3 Electrolytes: Abnormal \n",
|
187 |
+
"3 6.7 Glucose: 124.4 Calcium: 9.4 Electrolytes: Normal \n",
|
188 |
+
"4 12.1 Glucose: 135.4 Calcium: 8.6 Electrolytes: Abnormal \n",
|
189 |
+
".. ... ... ... ... \n",
|
190 |
+
"95 8.7 Glucose: 143.4 Calcium: 9.0 Electrolytes: Abnormal \n",
|
191 |
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"96 5.7 Glucose: 126.7 Calcium: 10.0 Electrolytes: Abnormal \n",
|
192 |
+
"97 9.0 Glucose: 133.6 Calcium: 8.7 Electrolytes: Normal \n",
|
193 |
+
"98 9.2 Glucose: 78.1 Calcium: 9.8 Electrolytes: Abnormal \n",
|
194 |
+
"99 13.7 Glucose: 113.7 Calcium: 8.7 Electrolytes: Normal \n",
|
195 |
+
"\n",
|
196 |
+
" Lipid Panel (cholesterol) ESR (blood cell clumps) \n",
|
197 |
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"0 217.2 23 \n",
|
198 |
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"1 165.0 36 \n",
|
199 |
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|
200 |
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"3 176.4 13 \n",
|
201 |
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"4 129.9 29 \n",
|
202 |
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".. ... ... \n",
|
203 |
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"95 151.7 7 \n",
|
204 |
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"96 157.2 19 \n",
|
205 |
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"97 141.0 89 \n",
|
206 |
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"98 228.4 84 \n",
|
207 |
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"99 214.2 50 \n",
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
240 |
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|
241 |
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|
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" <th>BMP (calcium)</th>\n",
|
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" <th>BMP (electrolytes)</th>\n",
|
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|
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|
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|
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|
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|
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|
250 |
+
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|
251 |
+
" <td>John</td>\n",
|
252 |
+
" <td>Williams</td>\n",
|
253 |
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" <td>51405852</td>\n",
|
254 |
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" <td>Male</td>\n",
|
255 |
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" <td>06021 Andrews Plains\\nNorth Barbaraview, WA 84509</td>\n",
|
256 |
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" <td>Texas</td>\n",
|
257 |
+
" <td>Unit 9742 Box 1185\\nDPO AP 13090</td>\n",
|
258 |
+
" <td>2021-11-25 08:48:21</td>\n",
|
259 |
+
" <td>8.3</td>\n",
|
260 |
+
" <td>Glucose: 105.1</td>\n",
|
261 |
+
" <td>Calcium: 9.4</td>\n",
|
262 |
+
" <td>Electrolytes: Normal</td>\n",
|
263 |
+
" <td>217.2</td>\n",
|
264 |
+
" <td>23</td>\n",
|
265 |
+
" </tr>\n",
|
266 |
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" <tr>\n",
|
267 |
+
" <th>1</th>\n",
|
268 |
+
" <td>Matthew</td>\n",
|
269 |
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" <td>Barrett</td>\n",
|
270 |
+
" <td>86698828</td>\n",
|
271 |
+
" <td>Female</td>\n",
|
272 |
+
" <td>02997 Deborah Path Suite 795\\nDeborahmouth, NJ...</td>\n",
|
273 |
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" <td>Delaware</td>\n",
|
274 |
+
" <td>711 Scott Gateway Suite 873\\nWendyburgh, ME 72114</td>\n",
|
275 |
+
" <td>2020-05-16 18:28:15</td>\n",
|
276 |
+
" <td>4.9</td>\n",
|
277 |
+
" <td>Glucose: 140.1</td>\n",
|
278 |
+
" <td>Calcium: 9.9</td>\n",
|
279 |
+
" <td>Electrolytes: Abnormal</td>\n",
|
280 |
+
" <td>165.0</td>\n",
|
281 |
+
" <td>36</td>\n",
|
282 |
+
" </tr>\n",
|
283 |
+
" <tr>\n",
|
284 |
+
" <th>2</th>\n",
|
285 |
+
" <td>Michael</td>\n",
|
286 |
+
" <td>Williams</td>\n",
|
287 |
+
" <td>97705492</td>\n",
|
288 |
+
" <td>Other</td>\n",
|
289 |
+
" <td>4519 Joseph Extensions Apt. 395\\nPort William,...</td>\n",
|
290 |
+
" <td>Kentucky</td>\n",
|
291 |
+
" <td>732 Bryant Street Suite 463\\nNew Jessicaview, ...</td>\n",
|
292 |
+
" <td>2022-04-14 22:44:55</td>\n",
|
293 |
+
" <td>8.8</td>\n",
|
294 |
+
" <td>Glucose: 103.6</td>\n",
|
295 |
+
" <td>Calcium: 9.3</td>\n",
|
296 |
+
" <td>Electrolytes: Abnormal</td>\n",
|
297 |
+
" <td>183.9</td>\n",
|
298 |
+
" <td>34</td>\n",
|
299 |
+
" </tr>\n",
|
300 |
+
" <tr>\n",
|
301 |
+
" <th>3</th>\n",
|
302 |
+
" <td>Billy</td>\n",
|
303 |
+
" <td>Jones</td>\n",
|
304 |
+
" <td>42019134</td>\n",
|
305 |
+
" <td>Other</td>\n",
|
306 |
+
" <td>113 Rivera Plain Apt. 143\\nPort Cindy, CO 74694</td>\n",
|
307 |
+
" <td>South Carolina</td>\n",
|
308 |
+
" <td>24170 Merritt Mountain Apt. 882\\nSnydershire, ...</td>\n",
|
309 |
+
" <td>2023-10-09 12:48:11</td>\n",
|
310 |
+
" <td>6.7</td>\n",
|
311 |
+
" <td>Glucose: 124.4</td>\n",
|
312 |
+
" <td>Calcium: 9.4</td>\n",
|
313 |
+
" <td>Electrolytes: Normal</td>\n",
|
314 |
+
" <td>176.4</td>\n",
|
315 |
+
" <td>13</td>\n",
|
316 |
+
" </tr>\n",
|
317 |
+
" <tr>\n",
|
318 |
+
" <th>4</th>\n",
|
319 |
+
" <td>Jessica</td>\n",
|
320 |
+
" <td>Lawson</td>\n",
|
321 |
+
" <td>62074003</td>\n",
|
322 |
+
" <td>Female</td>\n",
|
323 |
+
" <td>82657 Ruiz Point\\nLake Christophershire, KS 37543</td>\n",
|
324 |
+
" <td>Delaware</td>\n",
|
325 |
+
" <td>840 Rachel Freeway\\nPort Robert, NC 93052</td>\n",
|
326 |
+
" <td>2021-01-24 18:34:26</td>\n",
|
327 |
+
" <td>12.1</td>\n",
|
328 |
+
" <td>Glucose: 135.4</td>\n",
|
329 |
+
" <td>Calcium: 8.6</td>\n",
|
330 |
+
" <td>Electrolytes: Abnormal</td>\n",
|
331 |
+
" <td>129.9</td>\n",
|
332 |
+
" <td>29</td>\n",
|
333 |
+
" </tr>\n",
|
334 |
+
" <tr>\n",
|
335 |
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" <th>...</th>\n",
|
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|
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|
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|
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|
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|
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" <td>...</td>\n",
|
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|
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|
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|
345 |
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" <td>...</td>\n",
|
346 |
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|
347 |
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|
348 |
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|
349 |
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" <td>...</td>\n",
|
350 |
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|
351 |
+
" <tr>\n",
|
352 |
+
" <th>95</th>\n",
|
353 |
+
" <td>Peter</td>\n",
|
354 |
+
" <td>Burns</td>\n",
|
355 |
+
" <td>58173378</td>\n",
|
356 |
+
" <td>Other</td>\n",
|
357 |
+
" <td>USCGC Parker\\nFPO AA 16320</td>\n",
|
358 |
+
" <td>New York</td>\n",
|
359 |
+
" <td>30807 Mitchell Estates\\nGregorybury, KY 95175</td>\n",
|
360 |
+
" <td>2020-01-16 08:08:59</td>\n",
|
361 |
+
" <td>8.7</td>\n",
|
362 |
+
" <td>Glucose: 143.4</td>\n",
|
363 |
+
" <td>Calcium: 9.0</td>\n",
|
364 |
+
" <td>Electrolytes: Abnormal</td>\n",
|
365 |
+
" <td>151.7</td>\n",
|
366 |
+
" <td>7</td>\n",
|
367 |
+
" </tr>\n",
|
368 |
+
" <tr>\n",
|
369 |
+
" <th>96</th>\n",
|
370 |
+
" <td>Nicole</td>\n",
|
371 |
+
" <td>Campbell</td>\n",
|
372 |
+
" <td>96638320</td>\n",
|
373 |
+
" <td>Female</td>\n",
|
374 |
+
" <td>USS Davis\\nFPO AP 68621</td>\n",
|
375 |
+
" <td>Vermont</td>\n",
|
376 |
+
" <td>3771 Maria Bypass Apt. 651\\nLake Lindsey, MD 0...</td>\n",
|
377 |
+
" <td>2023-10-17 19:27:21</td>\n",
|
378 |
+
" <td>5.7</td>\n",
|
379 |
+
" <td>Glucose: 126.7</td>\n",
|
380 |
+
" <td>Calcium: 10.0</td>\n",
|
381 |
+
" <td>Electrolytes: Abnormal</td>\n",
|
382 |
+
" <td>157.2</td>\n",
|
383 |
+
" <td>19</td>\n",
|
384 |
+
" </tr>\n",
|
385 |
+
" <tr>\n",
|
386 |
+
" <th>97</th>\n",
|
387 |
+
" <td>Jeffrey</td>\n",
|
388 |
+
" <td>Moore</td>\n",
|
389 |
+
" <td>25800342</td>\n",
|
390 |
+
" <td>Male</td>\n",
|
391 |
+
" <td>9240 Anthony Flat Apt. 187\\nLake Stephenberg, ...</td>\n",
|
392 |
+
" <td>Georgia</td>\n",
|
393 |
+
" <td>2683 Thomas Court Apt. 694\\nRachaelchester, CT...</td>\n",
|
394 |
+
" <td>2020-10-26 14:30:56</td>\n",
|
395 |
+
" <td>9.0</td>\n",
|
396 |
+
" <td>Glucose: 133.6</td>\n",
|
397 |
+
" <td>Calcium: 8.7</td>\n",
|
398 |
+
" <td>Electrolytes: Normal</td>\n",
|
399 |
+
" <td>141.0</td>\n",
|
400 |
+
" <td>89</td>\n",
|
401 |
+
" </tr>\n",
|
402 |
+
" <tr>\n",
|
403 |
+
" <th>98</th>\n",
|
404 |
+
" <td>Albert</td>\n",
|
405 |
+
" <td>Collins</td>\n",
|
406 |
+
" <td>38748339</td>\n",
|
407 |
+
" <td>Other</td>\n",
|
408 |
+
" <td>5230 Gary Motorway\\nWufort, VT 79419</td>\n",
|
409 |
+
" <td>Delaware</td>\n",
|
410 |
+
" <td>79209 Garner Trafficway\\nPort William, KY 91119</td>\n",
|
411 |
+
" <td>2020-03-25 15:18:29</td>\n",
|
412 |
+
" <td>9.2</td>\n",
|
413 |
+
" <td>Glucose: 78.1</td>\n",
|
414 |
+
" <td>Calcium: 9.8</td>\n",
|
415 |
+
" <td>Electrolytes: Abnormal</td>\n",
|
416 |
+
" <td>228.4</td>\n",
|
417 |
+
" <td>84</td>\n",
|
418 |
+
" </tr>\n",
|
419 |
+
" <tr>\n",
|
420 |
+
" <th>99</th>\n",
|
421 |
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" <td>Anthony</td>\n",
|
422 |
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" <td>Arias</td>\n",
|
423 |
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" <td>29343897</td>\n",
|
424 |
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|
425 |
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|
426 |
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|
427 |
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|
428 |
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" <td>2021-01-07 17:20:17</td>\n",
|
429 |
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" <td>13.7</td>\n",
|
430 |
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" <td>Glucose: 113.7</td>\n",
|
431 |
+
" <td>Calcium: 8.7</td>\n",
|
432 |
+
" <td>Electrolytes: Normal</td>\n",
|
433 |
+
" <td>214.2</td>\n",
|
434 |
+
" <td>50</td>\n",
|
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|
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+
"\n",
|
485 |
+
" [theme=dark] .colab-df-convert:hover {\n",
|
486 |
+
" background-color: #434B5C;\n",
|
487 |
+
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
488 |
+
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
489 |
+
" fill: #FFFFFF;\n",
|
490 |
+
" }\n",
|
491 |
+
" </style>\n",
|
492 |
+
"\n",
|
493 |
+
" <script>\n",
|
494 |
+
" const buttonEl =\n",
|
495 |
+
" document.querySelector('#df-29ac59bd-88ba-46db-9129-4154d4fdd690 button.colab-df-convert');\n",
|
496 |
+
" buttonEl.style.display =\n",
|
497 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
498 |
+
"\n",
|
499 |
+
" async function convertToInteractive(key) {\n",
|
500 |
+
" const element = document.querySelector('#df-29ac59bd-88ba-46db-9129-4154d4fdd690');\n",
|
501 |
+
" const dataTable =\n",
|
502 |
+
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
503 |
+
" [key], {});\n",
|
504 |
+
" if (!dataTable) return;\n",
|
505 |
+
"\n",
|
506 |
+
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
507 |
+
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
508 |
+
" + ' to learn more about interactive tables.';\n",
|
509 |
+
" element.innerHTML = '';\n",
|
510 |
+
" dataTable['output_type'] = 'display_data';\n",
|
511 |
+
" await google.colab.output.renderOutput(dataTable, element);\n",
|
512 |
+
" const docLink = document.createElement('div');\n",
|
513 |
+
" docLink.innerHTML = docLinkHtml;\n",
|
514 |
+
" element.appendChild(docLink);\n",
|
515 |
+
" }\n",
|
516 |
+
" </script>\n",
|
517 |
+
" </div>\n",
|
518 |
+
"\n",
|
519 |
+
"\n",
|
520 |
+
"<div id=\"df-0c2b3b01-4853-4cc3-8ead-48095a1eccb4\">\n",
|
521 |
+
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-0c2b3b01-4853-4cc3-8ead-48095a1eccb4')\"\n",
|
522 |
+
" title=\"Suggest charts\"\n",
|
523 |
+
" style=\"display:none;\">\n",
|
524 |
+
"\n",
|
525 |
+
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
526 |
+
" width=\"24px\">\n",
|
527 |
+
" <g>\n",
|
528 |
+
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
529 |
+
" </g>\n",
|
530 |
+
"</svg>\n",
|
531 |
+
" </button>\n",
|
532 |
+
"\n",
|
533 |
+
"<style>\n",
|
534 |
+
" .colab-df-quickchart {\n",
|
535 |
+
" --bg-color: #E8F0FE;\n",
|
536 |
+
" --fill-color: #1967D2;\n",
|
537 |
+
" --hover-bg-color: #E2EBFA;\n",
|
538 |
+
" --hover-fill-color: #174EA6;\n",
|
539 |
+
" --disabled-fill-color: #AAA;\n",
|
540 |
+
" --disabled-bg-color: #DDD;\n",
|
541 |
+
" }\n",
|
542 |
+
"\n",
|
543 |
+
" [theme=dark] .colab-df-quickchart {\n",
|
544 |
+
" --bg-color: #3B4455;\n",
|
545 |
+
" --fill-color: #D2E3FC;\n",
|
546 |
+
" --hover-bg-color: #434B5C;\n",
|
547 |
+
" --hover-fill-color: #FFFFFF;\n",
|
548 |
+
" --disabled-bg-color: #3B4455;\n",
|
549 |
+
" --disabled-fill-color: #666;\n",
|
550 |
+
" }\n",
|
551 |
+
"\n",
|
552 |
+
" .colab-df-quickchart {\n",
|
553 |
+
" background-color: var(--bg-color);\n",
|
554 |
+
" border: none;\n",
|
555 |
+
" border-radius: 50%;\n",
|
556 |
+
" cursor: pointer;\n",
|
557 |
+
" display: none;\n",
|
558 |
+
" fill: var(--fill-color);\n",
|
559 |
+
" height: 32px;\n",
|
560 |
+
" padding: 0;\n",
|
561 |
+
" width: 32px;\n",
|
562 |
+
" }\n",
|
563 |
+
"\n",
|
564 |
+
" .colab-df-quickchart:hover {\n",
|
565 |
+
" background-color: var(--hover-bg-color);\n",
|
566 |
+
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
567 |
+
" fill: var(--button-hover-fill-color);\n",
|
568 |
+
" }\n",
|
569 |
+
"\n",
|
570 |
+
" .colab-df-quickchart-complete:disabled,\n",
|
571 |
+
" .colab-df-quickchart-complete:disabled:hover {\n",
|
572 |
+
" background-color: var(--disabled-bg-color);\n",
|
573 |
+
" fill: var(--disabled-fill-color);\n",
|
574 |
+
" box-shadow: none;\n",
|
575 |
+
" }\n",
|
576 |
+
"\n",
|
577 |
+
" .colab-df-spinner {\n",
|
578 |
+
" border: 2px solid var(--fill-color);\n",
|
579 |
+
" border-color: transparent;\n",
|
580 |
+
" border-bottom-color: var(--fill-color);\n",
|
581 |
+
" animation:\n",
|
582 |
+
" spin 1s steps(1) infinite;\n",
|
583 |
+
" }\n",
|
584 |
+
"\n",
|
585 |
+
" @keyframes spin {\n",
|
586 |
+
" 0% {\n",
|
587 |
+
" border-color: transparent;\n",
|
588 |
+
" border-bottom-color: var(--fill-color);\n",
|
589 |
+
" border-left-color: var(--fill-color);\n",
|
590 |
+
" }\n",
|
591 |
+
" 20% {\n",
|
592 |
+
" border-color: transparent;\n",
|
593 |
+
" border-left-color: var(--fill-color);\n",
|
594 |
+
" border-top-color: var(--fill-color);\n",
|
595 |
+
" }\n",
|
596 |
+
" 30% {\n",
|
597 |
+
" border-color: transparent;\n",
|
598 |
+
" border-left-color: var(--fill-color);\n",
|
599 |
+
" border-top-color: var(--fill-color);\n",
|
600 |
+
" border-right-color: var(--fill-color);\n",
|
601 |
+
" }\n",
|
602 |
+
" 40% {\n",
|
603 |
+
" border-color: transparent;\n",
|
604 |
+
" border-right-color: var(--fill-color);\n",
|
605 |
+
" border-top-color: var(--fill-color);\n",
|
606 |
+
" }\n",
|
607 |
+
" 60% {\n",
|
608 |
+
" border-color: transparent;\n",
|
609 |
+
" border-right-color: var(--fill-color);\n",
|
610 |
+
" }\n",
|
611 |
+
" 80% {\n",
|
612 |
+
" border-color: transparent;\n",
|
613 |
+
" border-right-color: var(--fill-color);\n",
|
614 |
+
" border-bottom-color: var(--fill-color);\n",
|
615 |
+
" }\n",
|
616 |
+
" 90% {\n",
|
617 |
+
" border-color: transparent;\n",
|
618 |
+
" border-bottom-color: var(--fill-color);\n",
|
619 |
+
" }\n",
|
620 |
+
" }\n",
|
621 |
+
"</style>\n",
|
622 |
+
"\n",
|
623 |
+
" <script>\n",
|
624 |
+
" async function quickchart(key) {\n",
|
625 |
+
" const quickchartButtonEl =\n",
|
626 |
+
" document.querySelector('#' + key + ' button');\n",
|
627 |
+
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
|
628 |
+
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
|
629 |
+
" try {\n",
|
630 |
+
" const charts = await google.colab.kernel.invokeFunction(\n",
|
631 |
+
" 'suggestCharts', [key], {});\n",
|
632 |
+
" } catch (error) {\n",
|
633 |
+
" console.error('Error during call to suggestCharts:', error);\n",
|
634 |
+
" }\n",
|
635 |
+
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
|
636 |
+
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
|
637 |
+
" }\n",
|
638 |
+
" (() => {\n",
|
639 |
+
" let quickchartButtonEl =\n",
|
640 |
+
" document.querySelector('#df-0c2b3b01-4853-4cc3-8ead-48095a1eccb4 button');\n",
|
641 |
+
" quickchartButtonEl.style.display =\n",
|
642 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
643 |
+
" })();\n",
|
644 |
+
" </script>\n",
|
645 |
+
"</div>\n",
|
646 |
+
"\n",
|
647 |
+
" <div id=\"id_ea31243d-4d45-4c93-ab1b-65929910263b\">\n",
|
648 |
+
" <style>\n",
|
649 |
+
" .colab-df-generate {\n",
|
650 |
+
" background-color: #E8F0FE;\n",
|
651 |
+
" border: none;\n",
|
652 |
+
" border-radius: 50%;\n",
|
653 |
+
" cursor: pointer;\n",
|
654 |
+
" display: none;\n",
|
655 |
+
" fill: #1967D2;\n",
|
656 |
+
" height: 32px;\n",
|
657 |
+
" padding: 0 0 0 0;\n",
|
658 |
+
" width: 32px;\n",
|
659 |
+
" }\n",
|
660 |
+
"\n",
|
661 |
+
" .colab-df-generate:hover {\n",
|
662 |
+
" background-color: #E2EBFA;\n",
|
663 |
+
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
664 |
+
" fill: #174EA6;\n",
|
665 |
+
" }\n",
|
666 |
+
"\n",
|
667 |
+
" [theme=dark] .colab-df-generate {\n",
|
668 |
+
" background-color: #3B4455;\n",
|
669 |
+
" fill: #D2E3FC;\n",
|
670 |
+
" }\n",
|
671 |
+
"\n",
|
672 |
+
" [theme=dark] .colab-df-generate:hover {\n",
|
673 |
+
" background-color: #434B5C;\n",
|
674 |
+
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
675 |
+
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
676 |
+
" fill: #FFFFFF;\n",
|
677 |
+
" }\n",
|
678 |
+
" </style>\n",
|
679 |
+
" <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
|
680 |
+
" title=\"Generate code using this dataframe.\"\n",
|
681 |
+
" style=\"display:none;\">\n",
|
682 |
+
"\n",
|
683 |
+
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
684 |
+
" width=\"24px\">\n",
|
685 |
+
" <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
|
686 |
+
" </svg>\n",
|
687 |
+
" </button>\n",
|
688 |
+
" <script>\n",
|
689 |
+
" (() => {\n",
|
690 |
+
" const buttonEl =\n",
|
691 |
+
" document.querySelector('#id_ea31243d-4d45-4c93-ab1b-65929910263b button.colab-df-generate');\n",
|
692 |
+
" buttonEl.style.display =\n",
|
693 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
694 |
+
"\n",
|
695 |
+
" buttonEl.onclick = () => {\n",
|
696 |
+
" google.colab.notebook.generateWithVariable('df');\n",
|
697 |
+
" }\n",
|
698 |
+
" })();\n",
|
699 |
+
" </script>\n",
|
700 |
+
" </div>\n",
|
701 |
+
"\n",
|
702 |
+
" </div>\n",
|
703 |
+
" </div>\n"
|
704 |
+
],
|
705 |
+
"application/vnd.google.colaboratory.intrinsic+json": {
|
706 |
+
"type": "dataframe",
|
707 |
+
"variable_name": "df",
|
708 |
+
"summary": "{\n \"name\": \"df\",\n \"rows\": 100,\n \"fields\": [\n {\n \"column\": \"First Name\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 82,\n \"samples\": [\n \"Daniel\",\n \"John\",\n \"Nancy\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Last Name\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 86,\n \"samples\": [\n \"Myers\",\n \"Williams\",\n \"Martinez\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Policy No.\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 24995568,\n \"min\": 10077874,\n \"max\": 97705492,\n \"num_unique_values\": 100,\n \"samples\": [\n 51225828,\n 79531798,\n 17159895\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Gender\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"Male\",\n \"Female\",\n \"Other\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Address\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 100,\n \"samples\": [\n \"49286 Norman Trace\\nBaileyburgh, FM 60919\",\n \"67471 Orr Divide Suite 876\\nAlexanderport, IL 62852\",\n \"PSC 8205, Box 3340\\nAPO AP 96934\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"State\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 41,\n \"samples\": [\n \"Colorado\",\n \"Iowa\",\n \"Rhode Island\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Physician Office Address\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 100,\n \"samples\": [\n \"PSC 4665, Box 9364\\nAPO AE 81123\",\n \"Unit 8213 Box 4682\\nDPO AA 62814\",\n \"27278 Robbins Place\\nRonaldville, OK 66693\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Time of Test\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 100,\n \"samples\": [\n \"2022-08-18 11:22:50\",\n \"2022-09-23 17:04:36\",\n \"2023-12-27 13:37:21\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"A1C (diabetes)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.8247956929786455,\n \"min\": 4.6,\n \"max\": 14.0,\n \"num_unique_values\": 62,\n \"samples\": [\n 13.2,\n 9.2,\n 8.3\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"BMP (glucose)\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 95,\n \"samples\": [\n \"Glucose: 85.8\",\n \"Glucose: 76.4\",\n \"Glucose: 118.3\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"BMP (calcium)\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 17,\n \"samples\": [\n \"Calcium: 9.4\",\n \"Calcium: 9.9\",\n \"Calcium: 8.9\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"BMP (electrolytes)\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"Electrolytes: Abnormal\",\n \"Electrolytes: Normal\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Lipid Panel (cholesterol)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 35.04015605506968,\n \"min\": 127.9,\n \"max\": 239.6,\n \"num_unique_values\": 98,\n \"samples\": [\n 141.8,\n 191.6\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"ESR (blood cell clumps)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 31,\n \"min\": 0,\n \"max\": 100,\n \"num_unique_values\": 63,\n \"samples\": [\n 89,\n 96\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}"
|
709 |
+
}
|
710 |
+
},
|
711 |
+
"metadata": {},
|
712 |
+
"execution_count": 8
|
713 |
+
}
|
714 |
+
]
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"cell_type": "code",
|
718 |
+
"source": [
|
719 |
+
"df.to_csv(\"sample_patient_bloodtest_data.csv\", index=False)"
|
720 |
+
],
|
721 |
+
"metadata": {
|
722 |
+
"id": "8awx6Z9qBPIc"
|
723 |
+
},
|
724 |
+
"execution_count": 10,
|
725 |
+
"outputs": []
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"cell_type": "code",
|
729 |
+
"source": [],
|
730 |
+
"metadata": {
|
731 |
+
"id": "ZXTS62RSBZKi"
|
732 |
+
},
|
733 |
+
"execution_count": null,
|
734 |
+
"outputs": []
|
735 |
+
}
|
736 |
+
]
|
737 |
+
}
|