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50 lines
1007 B
Plaintext
50 lines
1007 B
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 14,
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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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"\n",
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"df = pd.read_csv(\"responses_clean.csv\", sep=\"|\")\n",
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"\n",
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"labels = [\"Very Low\", \"Low\", \"Mid\", \"High\", \"Very High\"]\n",
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"\n",
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"df['SalaryUSD'] = pd.qcut(df['SalaryUSD'], q = 5, labels=labels)\n",
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"\n",
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"df.to_csv(\"responses_discretized.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": null,
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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 (default)",
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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": "3.8.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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