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cakiki commited on
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1048854
·
1 Parent(s): 8f38043

Add viz

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Files changed (6) hide show
  1. .gitignore +1 -0
  2. Dockerfile +3 -0
  3. Makefile +13 -0
  4. adult.csv +0 -0
  5. facets-overview.ipynb +154 -0
  6. index.html +7 -0
.gitignore ADDED
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+ .ipynb_checkpoints/
Dockerfile ADDED
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+ FROM jupyter/base-notebook:latest
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+
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+ RUN pip install --use-feature=2020-resolver pandas facets-overview
Makefile ADDED
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+ VERSION := 0.0.1
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+ NAME := facets-dive
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+ REPO := cakiki
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+
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+ build:
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+ docker build -f Dockerfile -t ${REPO}/${NAME}:${VERSION} -t ${REPO}/${NAME}:latest .
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+
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+ run: build
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+ docker run --rm -it -p 8888:8888 --mount type=bind,source=${PWD},target=/home/jovyan/work --name ${NAME} --workdir=/home/jovyan/work ${REPO}/${NAME}:${VERSION}
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+
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+ push: build
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+ docker push ${REPO}/${NAME}:${VERSION} && docker push ${REPO}/${NAME}:latest
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+
adult.csv ADDED
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facets-overview.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "id": "d5d0ea64",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/html": [
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+ "<style>.container { width:95% !important; }</style>"
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+ ],
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+ "text/plain": [
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+ "<IPython.core.display.HTML object>"
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+ ]
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+ },
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+ "metadata": {},
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+ "output_type": "display_data"
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+ }
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+ ],
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+ "source": [
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+ "from IPython.core.display import display, HTML, Image\n",
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+ "display(HTML(\"<style>.container { width:95% !important; }</style>\"))\n",
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+ "%config IPCompleter.use_jedi=False"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "id": "403c4b8a",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "import pandas as pd\n",
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+ "from IPython.display import Markdown, display, HTML, IFrame\n",
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+ "from facets_overview.generic_feature_statistics_generator import GenericFeatureStatisticsGenerator\n",
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+ "import base64"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 3,
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+ "id": "1c48706a",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "df = pd.read_csv('./adult.csv')"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 5,
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+ "id": "b512f166",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "<class 'pandas.core.frame.DataFrame'>\n",
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+ "RangeIndex: 32561 entries, 0 to 32560\n",
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+ "Data columns (total 15 columns):\n",
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+ " # Column Non-Null Count Dtype \n",
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+ "--- ------ -------------- ----- \n",
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+ " 0 age 32561 non-null int64 \n",
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+ " 1 workclass 32561 non-null object\n",
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+ " 2 fnlwgt 32561 non-null int64 \n",
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+ " 3 education 32561 non-null object\n",
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+ " 4 education.num 32561 non-null int64 \n",
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+ " 5 marital.status 32561 non-null object\n",
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+ " 6 occupation 32561 non-null object\n",
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+ " 7 relationship 32561 non-null object\n",
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+ " 8 race 32561 non-null object\n",
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+ " 9 sex 32561 non-null object\n",
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+ " 10 capital.gain 32561 non-null int64 \n",
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+ " 11 capital.loss 32561 non-null int64 \n",
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+ " 12 hours.per.week 32561 non-null int64 \n",
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+ " 13 native.country 32561 non-null object\n",
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+ " 14 income 32561 non-null object\n",
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+ "dtypes: int64(6), object(9)\n",
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+ "memory usage: 3.7+ MB\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "df.info()"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 4,
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+ "id": "fce8e9f4",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "ename": "TypeError",
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+ "evalue": "string indices must be integers",
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+ "output_type": "error",
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+ "traceback": [
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+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
102
+ "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
103
+ "\u001b[0;32m/tmp/ipykernel_28/1621212634.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mproto\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mGenericFeatureStatisticsGenerator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mProtoFromDataFrames\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mprotostr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbase64\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mb64encode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mproto\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSerializeToString\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"utf-8\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m HTML_TEMPLATE = \"\"\"\n\u001b[1;32m 4\u001b[0m \u001b[0;34m<\u001b[0m\u001b[0mscript\u001b[0m \u001b[0msrc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"https://cdnjs.cloudflare.com/ajax/libs/webcomponentsjs/1.3.3/webcomponents-lite.js\"\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;34m<\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mscript\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m<\u001b[0m\u001b[0mlink\u001b[0m \u001b[0mrel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"import\"\u001b[0m \u001b[0mhref\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"https://raw.githubusercontent.com/PAIR-code/facets/1.0.0/facets-dist/facets-jupyter.html\"\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
104
+ "\u001b[0;32m/opt/conda/lib/python3.9/site-packages/facets_overview/base_generic_feature_statistics_generator.py\u001b[0m in \u001b[0;36mProtoFromDataFrames\u001b[0;34m(self, dataframes, histogram_categorical_levels_count)\u001b[0m\n\u001b[1;32m 49\u001b[0m \u001b[0mdatasets\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 50\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mdataframe\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mdataframes\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 51\u001b[0;31m \u001b[0mtable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdataframe\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'table'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 52\u001b[0m \u001b[0mtable_entries\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 53\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcol\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtable\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
105
+ "\u001b[0;31mTypeError\u001b[0m: string indices must be integers"
106
+ ]
107
+ }
108
+ ],
109
+ "source": [
110
+ "proto = GenericFeatureStatisticsGenerator().ProtoFromDataFrames(df)\n",
111
+ "protostr = base64.b64encode(proto.SerializeToString()).decode(\"utf-8\")\n",
112
+ "HTML_TEMPLATE = \"\"\"\n",
113
+ " <script src=\"https://cdnjs.cloudflare.com/ajax/libs/webcomponentsjs/1.3.3/webcomponents-lite.js\"></script>\n",
114
+ " <link rel=\"import\" href=\"https://raw.githubusercontent.com/PAIR-code/facets/1.0.0/facets-dist/facets-jupyter.html\">\n",
115
+ " <facets-overview id=\"elem\"></facets-overview>\n",
116
+ " <script>\n",
117
+ " document.querySelector(\"#elem\").protoInput = \"{protostr}\";\n",
118
+ " </script>\"\"\"\n",
119
+ "html_str = HTML_TEMPLATE.format(protostr=protostr)\n",
120
+ "with open(\"index.html\",'w') as fo:\n",
121
+ " fo.write(html_str)"
122
+ ]
123
+ },
124
+ {
125
+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "c0a817dc",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "Python 3 (ipykernel)",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.9.7"
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }
index.html ADDED
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+
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+ <script src="https://cdnjs.cloudflare.com/ajax/libs/webcomponentsjs/1.3.3/webcomponents-lite.js"></script>
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+ <link rel="import" href="https://raw.githubusercontent.com/PAIR-code/facets/1.0.0/facets-dist/facets-jupyter.html">
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+ <facets-overview id="elem"></facets-overview>
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+ <script>
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+ </script>