Spaces:
Running
Running
Update app.py with input widget and data retrieval logic
Browse files- app.ipynb +81 -32
- app.py +51 -5
- loan_data.csv +382 -0
app.ipynb
CHANGED
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"cells": [
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{
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"cell_type": "code",
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"metadata": {},
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"outputs": [
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{
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"cell_type": "code",
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"metadata": {},
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"outputs": [],
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"source": [
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"import hvplot.pandas\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"\n"
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"cell_type": "code",
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"outputs": [
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{
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"data": {
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"application/vnd.holoviews_exec.v0+json": "",
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"text/html": [
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"<div id='
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" <div id=\"
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"</div>\n",
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"<script type=\"application/javascript\">(function(root) {\n",
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" var docs_json = {\"
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" var render_items = [{\"docid\":\"
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" var docs = Object.values(docs_json)\n",
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" if (!docs) {\n",
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" return\n",
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"metadata": {
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"application/vnd.holoviews_exec.v0+json": {
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"id": "
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"output_type": "display_data"
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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"# | export\n",
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"
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"pn.Row(
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"source": [
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"# | export\n",
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"dataset =
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"
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [],
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"source": [
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 359,
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"metadata": {},
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"outputs": [
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{
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"cell_type": "code",
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"execution_count": 360,
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"metadata": {},
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"outputs": [],
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"source": [
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"import hvplot.pandas\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"import io\n",
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"\n"
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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": 361,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/vnd.holoviews_exec.v0+json": "",
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"text/html": [
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"<div id='f6e0afbe-db3f-42a1-9a96-1a6d474e533f'>\n",
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" <div id=\"fc8a7ced-d5a4-4379-8b9c-44ac5d3f9efe\" data-root-id=\"f6e0afbe-db3f-42a1-9a96-1a6d474e533f\" style=\"display: contents;\"></div>\n",
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"</div>\n",
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"<script type=\"application/javascript\">(function(root) {\n",
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" var docs_json = {\"f7ef0973-ff1e-494a-9792-d8c42d533bee\":{\"version\":\"3.3.4\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"f6e0afbe-db3f-42a1-9a96-1a6d474e533f\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"c0c50dc7-bbaa-425f-9688-677ad7e55f02\",\"attributes\":{\"plot_id\":\"f6e0afbe-db3f-42a1-9a96-1a6d474e533f\",\"comm_id\":\"0ff75a2de10a4bc7ad3207eb722061e5\",\"client_comm_id\":\"2a5dea66a40342718ab69f4141452d11\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"copy_to_clipboard1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
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" var render_items = [{\"docid\":\"f7ef0973-ff1e-494a-9792-d8c42d533bee\",\"roots\":{\"f6e0afbe-db3f-42a1-9a96-1a6d474e533f\":\"fc8a7ced-d5a4-4379-8b9c-44ac5d3f9efe\"},\"root_ids\":[\"f6e0afbe-db3f-42a1-9a96-1a6d474e533f\"]}];\n",
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" var docs = Object.values(docs_json)\n",
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" if (!docs) {\n",
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" return\n",
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},
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"metadata": {
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"application/vnd.holoviews_exec.v0+json": {
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"id": "f6e0afbe-db3f-42a1-9a96-1a6d474e533f"
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}
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},
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"output_type": "display_data"
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},
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{
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"cell_type": "code",
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"execution_count": 362,
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"metadata": {},
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"outputs": [],
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"source": [
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"# | export\n",
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"switch = pn.widgets.Switch(name=\"URL - FILE\", value=False)\n",
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"# pn.Row(switch).servable(target=\"sidebar\");\n",
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"\n",
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"url = pn.widgets.TextAreaInput(name=\"url\", placeholder=\"Enter the url of the dataset\", value=\"https://raw.githubusercontent.com/holoviz/panel/main/examples/assets/occupancy.csv\");\n",
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"file = pn.widgets.FileInput(\n",
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" accept=\".csv\", name=\"Upload a CSV file\",\n",
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")\n",
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"\n",
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"\n"
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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": 363,
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"metadata": {},
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"outputs": [],
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"source": [
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"# | export\n",
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"def show_input_widget(switch: pn.widgets.Switch):\n",
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" if not switch:\n",
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" return pn.Row(url);\n",
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" else:\n",
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" return pn.Row(file);\n"
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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": 364,
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"metadata": {},
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"outputs": [],
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"source": [
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"# | export\n",
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"\n",
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"def get_data(switch: pn.widgets.Switch, url: pn.widgets.TextAreaInput, file: pn.widgets.FileInput):\n",
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" if not switch:\n",
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" df = pd.read_csv(url)\n",
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" cols = df.columns\n",
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" return pn.Row(df.head(), df.hvplot(x=cols[0], y=cols[1:]).opts(width=600, height=400))\n",
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" else:\n",
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" if file is None:\n",
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" return \"No file selected\"\n",
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" df = pd.read_csv(io.BytesIO(file))\n",
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" cols = df.columns\n",
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" return pn.Column(df.head(), df.hvplot(x=cols[0], y=cols[1:]).opts(width=600, height=400)\n",
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" )\n",
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"\n",
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"bound_data = pn.bind(get_data, switch=switch, url=url, file=file)\n",
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"pn.Column(\n",
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" pn.Row(switch),\n",
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" pn.Row(pn.bind(show_input_widget, switch)),\n",
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" ).servable(target=\"sidebar\");\n",
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"\n",
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"pn.Column(bound_data).servable(target=\"main\");"
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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": 365,
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"metadata": {},
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"outputs": [],
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"source": [
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"# | export\n"
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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": 366,
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"metadata": {},
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"outputs": [],
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"source": [
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"# | export\n",
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"# dataset = None\n",
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"# if file:\n",
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"# dataset = pd.read_csv(file)\n",
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"# else:\n",
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"# dataset = pd.read_csv(url.value)\n",
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"# pn.Row(dataset.head().hvplot().opts(width=800, height=400)).servable(target=\"main\");"
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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": 367,
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"metadata": {},
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"outputs": [],
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"source": [
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app.py
CHANGED
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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
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# %% auto 0
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__all__ = ['url', '
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# %% app.ipynb 1
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import panel as pn
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import hvplot.pandas
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import pandas as pd
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import numpy as np
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# %% app.ipynb 3
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pn.Row(
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# %% app.ipynb 4
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# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
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# %% auto 0
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__all__ = ['switch', 'url', 'file', 'bound_data', 'show_input_widget', 'get_data']
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# %% app.ipynb 1
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import panel as pn
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import hvplot.pandas
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import pandas as pd
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import numpy as np
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import io
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# %% app.ipynb 3
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switch = pn.widgets.Switch(name="URL - FILE", value=False)
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# pn.Row(switch).servable(target="sidebar");
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url = pn.widgets.TextAreaInput(name="url", placeholder="Enter the url of the dataset", value="https://raw.githubusercontent.com/holoviz/panel/main/examples/assets/occupancy.csv");
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file = pn.widgets.FileInput(
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accept=".csv", name="Upload a CSV file",
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)
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# %% app.ipynb 4
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def show_input_widget(switch: pn.widgets.Switch):
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if not switch:
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return pn.Row(url);
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else:
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return pn.Row(file);
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# %% app.ipynb 5
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def get_data(switch: pn.widgets.Switch, url: pn.widgets.TextAreaInput, file: pn.widgets.FileInput):
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if not switch:
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df = pd.read_csv(url)
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cols = df.columns
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return pn.Row(df.head(), df.hvplot(x=cols[0], y=cols[1:]).opts(width=600, height=400))
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else:
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if file is None:
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return "No file selected"
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df = pd.read_csv(io.BytesIO(file))
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cols = df.columns
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return pn.Column(df.head(), df.hvplot(x=cols[0], y=cols[1:]).opts(width=600, height=400)
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)
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bound_data = pn.bind(get_data, switch=switch, url=url, file=file)
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pn.Column(
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pn.Row(switch),
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pn.Row(pn.bind(show_input_widget, switch)),
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).servable(target="sidebar");
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pn.Column(bound_data).servable(target="main");
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# %% app.ipynb 6
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# | export
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# %% app.ipynb 7
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# dataset = None
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# if file:
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# dataset = pd.read_csv(file)
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# else:
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# dataset = pd.read_csv(url.value)
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# pn.Row(dataset.head().hvplot().opts(width=800, height=400)).servable(target="main");
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loan_data.csv
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1 |
+
Loan_ID,Gender,Married,Dependents,Education,Self_Employed,ApplicantIncome,CoapplicantIncome,LoanAmount,Loan_Amount_Term,Credit_History,Property_Area,Loan_Status
|
2 |
+
LP001003,Male,Yes,1,Graduate,No,4583,1508.0,128.0,360.0,1.0,Rural,N
|
3 |
+
LP001005,Male,Yes,0,Graduate,Yes,3000,0.0,66.0,360.0,1.0,Urban,Y
|
4 |
+
LP001006,Male,Yes,0,Not Graduate,No,2583,2358.0,120.0,360.0,1.0,Urban,Y
|
5 |
+
LP001008,Male,No,0,Graduate,No,6000,0.0,141.0,360.0,1.0,Urban,Y
|
6 |
+
LP001013,Male,Yes,0,Not Graduate,No,2333,1516.0,95.0,360.0,1.0,Urban,Y
|
7 |
+
LP001024,Male,Yes,2,Graduate,No,3200,700.0,70.0,360.0,1.0,Urban,Y
|
8 |
+
LP001027,Male,Yes,2,Graduate,,2500,1840.0,109.0,360.0,1.0,Urban,Y
|
9 |
+
LP001029,Male,No,0,Graduate,No,1853,2840.0,114.0,360.0,1.0,Rural,N
|
10 |
+
LP001030,Male,Yes,2,Graduate,No,1299,1086.0,17.0,120.0,1.0,Urban,Y
|
11 |
+
LP001032,Male,No,0,Graduate,No,4950,0.0,125.0,360.0,1.0,Urban,Y
|
12 |
+
LP001034,Male,No,1,Not Graduate,No,3596,0.0,100.0,240.0,,Urban,Y
|
13 |
+
LP001036,Female,No,0,Graduate,No,3510,0.0,76.0,360.0,0.0,Urban,N
|
14 |
+
LP001038,Male,Yes,0,Not Graduate,No,4887,0.0,133.0,360.0,1.0,Rural,N
|
15 |
+
LP001041,Male,Yes,0,Graduate,,2600,3500.0,115.0,,1.0,Urban,Y
|
16 |
+
LP001043,Male,Yes,0,Not Graduate,No,7660,0.0,104.0,360.0,0.0,Urban,N
|
17 |
+
LP001047,Male,Yes,0,Not Graduate,No,2600,1911.0,116.0,360.0,0.0,Semiurban,N
|
18 |
+
LP001050,,Yes,2,Not Graduate,No,3365,1917.0,112.0,360.0,0.0,Rural,N
|
19 |
+
LP001068,Male,Yes,0,Graduate,No,2799,2253.0,122.0,360.0,1.0,Semiurban,Y
|
20 |
+
LP001073,Male,Yes,2,Not Graduate,No,4226,1040.0,110.0,360.0,1.0,Urban,Y
|
21 |
+
LP001086,Male,No,0,Not Graduate,No,1442,0.0,35.0,360.0,1.0,Urban,N
|
22 |
+
LP001087,Female,No,2,Graduate,,3750,2083.0,120.0,360.0,1.0,Semiurban,Y
|
23 |
+
LP001095,Male,No,0,Graduate,No,3167,0.0,74.0,360.0,1.0,Urban,N
|
24 |
+
LP001097,Male,No,1,Graduate,Yes,4692,0.0,106.0,360.0,1.0,Rural,N
|
25 |
+
LP001098,Male,Yes,0,Graduate,No,3500,1667.0,114.0,360.0,1.0,Semiurban,Y
|
26 |
+
LP001109,Male,Yes,0,Graduate,No,1828,1330.0,100.0,,0.0,Urban,N
|
27 |
+
LP001112,Female,Yes,0,Graduate,No,3667,1459.0,144.0,360.0,1.0,Semiurban,Y
|
28 |
+
LP001116,Male,No,0,Not Graduate,No,3748,1668.0,110.0,360.0,1.0,Semiurban,Y
|
29 |
+
LP001119,Male,No,0,Graduate,No,3600,0.0,80.0,360.0,1.0,Urban,N
|
30 |
+
LP001120,Male,No,0,Graduate,No,1800,1213.0,47.0,360.0,1.0,Urban,Y
|
31 |
+
LP001123,Male,Yes,0,Graduate,No,2400,0.0,75.0,360.0,,Urban,Y
|
32 |
+
LP001131,Male,Yes,0,Graduate,No,3941,2336.0,134.0,360.0,1.0,Semiurban,Y
|
33 |
+
LP001136,Male,Yes,0,Not Graduate,Yes,4695,0.0,96.0,,1.0,Urban,Y
|
34 |
+
LP001137,Female,No,0,Graduate,No,3410,0.0,88.0,,1.0,Urban,Y
|
35 |
+
LP001138,Male,Yes,1,Graduate,No,5649,0.0,44.0,360.0,1.0,Urban,Y
|
36 |
+
LP001144,Male,Yes,0,Graduate,No,5821,0.0,144.0,360.0,1.0,Urban,Y
|
37 |
+
LP001146,Female,Yes,0,Graduate,No,2645,3440.0,120.0,360.0,0.0,Urban,N
|
38 |
+
LP001151,Female,No,0,Graduate,No,4000,2275.0,144.0,360.0,1.0,Semiurban,Y
|
39 |
+
LP001155,Female,Yes,0,Not Graduate,No,1928,1644.0,100.0,360.0,1.0,Semiurban,Y
|
40 |
+
LP001157,Female,No,0,Graduate,No,3086,0.0,120.0,360.0,1.0,Semiurban,Y
|
41 |
+
LP001164,Female,No,0,Graduate,No,4230,0.0,112.0,360.0,1.0,Semiurban,N
|
42 |
+
LP001179,Male,Yes,2,Graduate,No,4616,0.0,134.0,360.0,1.0,Urban,N
|
43 |
+
LP001194,Male,Yes,2,Graduate,No,2708,1167.0,97.0,360.0,1.0,Semiurban,Y
|
44 |
+
LP001195,Male,Yes,0,Graduate,No,2132,1591.0,96.0,360.0,1.0,Semiurban,Y
|
45 |
+
LP001197,Male,Yes,0,Graduate,No,3366,2200.0,135.0,360.0,1.0,Rural,N
|
46 |
+
LP001199,Male,Yes,2,Not Graduate,No,3357,2859.0,144.0,360.0,1.0,Urban,Y
|
47 |
+
LP001205,Male,Yes,0,Graduate,No,2500,3796.0,120.0,360.0,1.0,Urban,Y
|
48 |
+
LP001206,Male,Yes,3+,Graduate,No,3029,0.0,99.0,360.0,1.0,Urban,Y
|
49 |
+
LP001222,Female,No,0,Graduate,No,4166,0.0,116.0,360.0,0.0,Semiurban,N
|
50 |
+
LP001228,Male,No,0,Not Graduate,No,3200,2254.0,126.0,180.0,0.0,Urban,N
|
51 |
+
LP001238,Male,Yes,3+,Not Graduate,Yes,7100,0.0,125.0,60.0,1.0,Urban,Y
|
52 |
+
LP001241,Female,No,0,Graduate,No,4300,0.0,136.0,360.0,0.0,Semiurban,N
|
53 |
+
LP001245,Male,Yes,2,Not Graduate,Yes,1875,1875.0,97.0,360.0,1.0,Semiurban,Y
|
54 |
+
LP001248,Male,No,0,Graduate,No,3500,0.0,81.0,300.0,1.0,Semiurban,Y
|
55 |
+
LP001250,Male,Yes,3+,Not Graduate,No,4755,0.0,95.0,,0.0,Semiurban,N
|
56 |
+
LP001255,Male,No,0,Graduate,No,3750,0.0,113.0,480.0,1.0,Urban,N
|
57 |
+
LP001259,Male,Yes,1,Graduate,Yes,1000,3022.0,110.0,360.0,1.0,Urban,N
|
58 |
+
LP001264,Male,Yes,3+,Not Graduate,Yes,3333,2166.0,130.0,360.0,,Semiurban,Y
|
59 |
+
LP001265,Female,No,0,Graduate,No,3846,0.0,111.0,360.0,1.0,Semiurban,Y
|
60 |
+
LP001275,Male,Yes,1,Graduate,No,3988,0.0,50.0,240.0,1.0,Urban,Y
|
61 |
+
LP001279,Male,No,0,Graduate,No,2366,2531.0,136.0,360.0,1.0,Semiurban,Y
|
62 |
+
LP001280,Male,Yes,2,Not Graduate,No,3333,2000.0,99.0,360.0,,Semiurban,Y
|
63 |
+
LP001282,Male,Yes,0,Graduate,No,2500,2118.0,104.0,360.0,1.0,Semiurban,Y
|
64 |
+
LP001316,Male,Yes,0,Graduate,No,2958,2900.0,131.0,360.0,1.0,Semiurban,Y
|
65 |
+
LP001319,Male,Yes,2,Not Graduate,No,3273,1820.0,81.0,360.0,1.0,Urban,Y
|
66 |
+
LP001322,Male,No,0,Graduate,No,4133,0.0,122.0,360.0,1.0,Semiurban,Y
|
67 |
+
LP001325,Male,No,0,Not Graduate,No,3620,0.0,25.0,120.0,1.0,Semiurban,Y
|
68 |
+
LP001327,Female,Yes,0,Graduate,No,2484,2302.0,137.0,360.0,1.0,Semiurban,Y
|
69 |
+
LP001333,Male,Yes,0,Graduate,No,1977,997.0,50.0,360.0,1.0,Semiurban,Y
|
70 |
+
LP001334,Male,Yes,0,Not Graduate,No,4188,0.0,115.0,180.0,1.0,Semiurban,Y
|
71 |
+
LP001343,Male,Yes,0,Graduate,No,1759,3541.0,131.0,360.0,1.0,Semiurban,Y
|
72 |
+
LP001345,Male,Yes,2,Not Graduate,No,4288,3263.0,133.0,180.0,1.0,Urban,Y
|
73 |
+
LP001367,Male,Yes,1,Graduate,No,3052,1030.0,100.0,360.0,1.0,Urban,Y
|
74 |
+
LP001370,Male,No,0,Not Graduate,,7333,0.0,120.0,360.0,1.0,Rural,N
|
75 |
+
LP001384,Male,Yes,3+,Not Graduate,No,2071,754.0,94.0,480.0,1.0,Semiurban,Y
|
76 |
+
LP001385,Male,No,0,Graduate,No,5316,0.0,136.0,360.0,1.0,Urban,Y
|
77 |
+
LP001387,Female,Yes,0,Graduate,,2929,2333.0,139.0,360.0,1.0,Semiurban,Y
|
78 |
+
LP001398,Male,No,0,Graduate,,5050,0.0,118.0,360.0,1.0,Semiurban,Y
|
79 |
+
LP001405,Male,Yes,1,Graduate,No,2214,1398.0,85.0,360.0,,Urban,Y
|
80 |
+
LP001430,Female,No,0,Graduate,No,4166,0.0,44.0,360.0,1.0,Semiurban,Y
|
81 |
+
LP001431,Female,No,0,Graduate,No,2137,8980.0,137.0,360.0,0.0,Semiurban,Y
|
82 |
+
LP001432,Male,Yes,2,Graduate,No,2957,0.0,81.0,360.0,1.0,Semiurban,Y
|
83 |
+
LP001443,Female,No,0,Graduate,No,3692,0.0,93.0,360.0,,Rural,Y
|
84 |
+
LP001473,Male,No,0,Graduate,No,2014,1929.0,74.0,360.0,1.0,Urban,Y
|
85 |
+
LP001478,Male,No,0,Graduate,No,2718,0.0,70.0,360.0,1.0,Semiurban,Y
|
86 |
+
LP001482,Male,Yes,0,Graduate,Yes,3459,0.0,25.0,120.0,1.0,Semiurban,Y
|
87 |
+
LP001487,Male,No,0,Graduate,No,4895,0.0,102.0,360.0,1.0,Semiurban,Y
|
88 |
+
LP001489,Female,Yes,0,Graduate,No,4583,0.0,84.0,360.0,1.0,Rural,N
|
89 |
+
LP001491,Male,Yes,2,Graduate,Yes,3316,3500.0,88.0,360.0,1.0,Urban,Y
|
90 |
+
LP001493,Male,Yes,2,Not Graduate,No,4200,1430.0,129.0,360.0,1.0,Rural,N
|
91 |
+
LP001507,Male,Yes,0,Graduate,No,2698,2034.0,122.0,360.0,1.0,Semiurban,Y
|
92 |
+
LP001514,Female,Yes,0,Graduate,No,2330,4486.0,100.0,360.0,1.0,Semiurban,Y
|
93 |
+
LP001518,Male,Yes,1,Graduate,No,1538,1425.0,30.0,360.0,1.0,Urban,Y
|
94 |
+
LP001520,Male,Yes,0,Graduate,No,4860,830.0,125.0,360.0,1.0,Semiurban,Y
|
95 |
+
LP001528,Male,No,0,Graduate,No,6277,0.0,118.0,360.0,0.0,Rural,N
|
96 |
+
LP001532,Male,Yes,2,Not Graduate,No,2281,0.0,113.0,360.0,1.0,Rural,N
|
97 |
+
LP001535,Male,No,0,Graduate,No,3254,0.0,50.0,360.0,1.0,Urban,Y
|
98 |
+
LP001546,Male,No,0,Graduate,,2980,2083.0,120.0,360.0,1.0,Rural,Y
|
99 |
+
LP001560,Male,Yes,0,Not Graduate,No,1863,1041.0,98.0,360.0,1.0,Semiurban,Y
|
100 |
+
LP001565,Male,Yes,1,Graduate,No,3089,1280.0,121.0,360.0,0.0,Semiurban,N
|
101 |
+
LP001572,Male,Yes,0,Graduate,No,9323,0.0,75.0,180.0,1.0,Urban,Y
|
102 |
+
LP001577,Female,Yes,0,Graduate,No,4583,0.0,112.0,360.0,1.0,Rural,N
|
103 |
+
LP001578,Male,Yes,0,Graduate,No,2439,3333.0,129.0,360.0,1.0,Rural,Y
|
104 |
+
LP001579,Male,No,0,Graduate,No,2237,0.0,63.0,480.0,0.0,Semiurban,N
|
105 |
+
LP001581,Male,Yes,0,Not Graduate,,1820,1769.0,95.0,360.0,1.0,Rural,Y
|
106 |
+
LP001586,Male,Yes,3+,Not Graduate,No,3522,0.0,81.0,180.0,1.0,Rural,N
|
107 |
+
LP001603,Male,Yes,0,Not Graduate,Yes,4344,736.0,87.0,360.0,1.0,Semiurban,N
|
108 |
+
LP001606,Male,Yes,0,Graduate,No,3497,1964.0,116.0,360.0,1.0,Rural,Y
|
109 |
+
LP001608,Male,Yes,2,Graduate,No,2045,1619.0,101.0,360.0,1.0,Rural,Y
|
110 |
+
LP001616,Male,Yes,1,Graduate,No,3750,0.0,116.0,360.0,1.0,Semiurban,Y
|
111 |
+
LP001630,Male,No,0,Not Graduate,No,2333,1451.0,102.0,480.0,0.0,Urban,N
|
112 |
+
LP001634,Male,No,0,Graduate,No,1916,5063.0,67.0,360.0,,Rural,N
|
113 |
+
LP001636,Male,Yes,0,Graduate,No,4600,0.0,73.0,180.0,1.0,Semiurban,Y
|
114 |
+
LP001639,Female,Yes,0,Graduate,No,3625,0.0,108.0,360.0,1.0,Semiurban,Y
|
115 |
+
LP001641,Male,Yes,1,Graduate,Yes,2178,0.0,66.0,300.0,0.0,Rural,N
|
116 |
+
LP001643,Male,Yes,0,Graduate,No,2383,2138.0,58.0,360.0,,Rural,Y
|
117 |
+
LP001653,Male,No,0,Not Graduate,No,4885,0.0,48.0,360.0,1.0,Rural,Y
|
118 |
+
LP001658,Male,No,0,Graduate,No,3858,0.0,76.0,360.0,1.0,Semiurban,Y
|
119 |
+
LP001664,Male,No,0,Graduate,No,4191,0.0,120.0,360.0,1.0,Rural,Y
|
120 |
+
LP001669,Female,No,0,Not Graduate,No,1907,2365.0,120.0,,1.0,Urban,Y
|
121 |
+
LP001671,Female,Yes,0,Graduate,No,3416,2816.0,113.0,360.0,,Semiurban,Y
|
122 |
+
LP001674,Male,Yes,1,Not Graduate,No,2600,2500.0,90.0,360.0,1.0,Semiurban,Y
|
123 |
+
LP001688,Male,Yes,1,Not Graduate,No,3500,1083.0,135.0,360.0,1.0,Urban,Y
|
124 |
+
LP001691,Male,Yes,2,Not Graduate,No,3917,0.0,124.0,360.0,1.0,Semiurban,Y
|
125 |
+
LP001692,Female,No,0,Not Graduate,No,4408,0.0,120.0,360.0,1.0,Semiurban,Y
|
126 |
+
LP001693,Female,No,0,Graduate,No,3244,0.0,80.0,360.0,1.0,Urban,Y
|
127 |
+
LP001698,Male,No,0,Not Graduate,No,3975,2531.0,55.0,360.0,1.0,Rural,Y
|
128 |
+
LP001699,Male,No,0,Graduate,No,2479,0.0,59.0,360.0,1.0,Urban,Y
|
129 |
+
LP001702,Male,No,0,Graduate,No,3418,0.0,127.0,360.0,1.0,Semiurban,N
|
130 |
+
LP001711,Male,Yes,3+,Graduate,No,3430,1250.0,128.0,360.0,0.0,Semiurban,N
|
131 |
+
LP001715,Male,Yes,3+,Not Graduate,Yes,5703,0.0,130.0,360.0,1.0,Rural,Y
|
132 |
+
LP001716,Male,Yes,0,Graduate,No,3173,3021.0,137.0,360.0,1.0,Urban,Y
|
133 |
+
LP001720,Male,Yes,3+,Not Graduate,No,3850,983.0,100.0,360.0,1.0,Semiurban,Y
|
134 |
+
LP001722,Male,Yes,0,Graduate,No,150,1800.0,135.0,360.0,1.0,Rural,N
|
135 |
+
LP001726,Male,Yes,0,Graduate,No,3727,1775.0,131.0,360.0,1.0,Semiurban,Y
|
136 |
+
LP001732,Male,Yes,2,Graduate,,5000,0.0,72.0,360.0,0.0,Semiurban,N
|
137 |
+
LP001734,Female,Yes,2,Graduate,No,4283,2383.0,127.0,360.0,,Semiurban,Y
|
138 |
+
LP001736,Male,Yes,0,Graduate,No,2221,0.0,60.0,360.0,0.0,Urban,N
|
139 |
+
LP001743,Male,Yes,2,Graduate,No,4009,1717.0,116.0,360.0,1.0,Semiurban,Y
|
140 |
+
LP001744,Male,No,0,Graduate,No,2971,2791.0,144.0,360.0,1.0,Semiurban,Y
|
141 |
+
LP001750,Male,Yes,0,Graduate,No,6250,0.0,128.0,360.0,1.0,Semiurban,Y
|
142 |
+
LP001754,Male,Yes,,Not Graduate,Yes,4735,0.0,138.0,360.0,1.0,Urban,N
|
143 |
+
LP001765,Male,Yes,1,Graduate,No,2491,2054.0,104.0,360.0,1.0,Semiurban,Y
|
144 |
+
LP001768,Male,Yes,0,Graduate,,3716,0.0,42.0,180.0,1.0,Rural,Y
|
145 |
+
LP001770,Male,No,0,Not Graduate,No,3189,2598.0,120.0,,1.0,Rural,Y
|
146 |
+
LP001778,Male,Yes,1,Graduate,No,3155,1779.0,140.0,360.0,1.0,Semiurban,Y
|
147 |
+
LP001788,Female,No,0,Graduate,Yes,3463,0.0,122.0,360.0,,Urban,Y
|
148 |
+
LP001790,Female,No,1,Graduate,No,3812,0.0,112.0,360.0,1.0,Rural,Y
|
149 |
+
LP001792,Male,Yes,1,Graduate,No,3315,0.0,96.0,360.0,1.0,Semiurban,Y
|
150 |
+
LP001798,Male,Yes,2,Graduate,No,5819,5000.0,120.0,360.0,1.0,Rural,Y
|
151 |
+
LP001800,Male,Yes,1,Not Graduate,No,2510,1983.0,140.0,180.0,1.0,Urban,N
|
152 |
+
LP001807,Male,Yes,2,Graduate,Yes,6250,1300.0,108.0,360.0,1.0,Rural,Y
|
153 |
+
LP001811,Male,Yes,0,Not Graduate,No,3406,4417.0,123.0,360.0,1.0,Semiurban,Y
|
154 |
+
LP001813,Male,No,0,Graduate,Yes,6050,4333.0,120.0,180.0,1.0,Urban,N
|
155 |
+
LP001814,Male,Yes,2,Graduate,No,9703,0.0,112.0,360.0,1.0,Urban,Y
|
156 |
+
LP001819,Male,Yes,1,Not Graduate,No,6608,0.0,137.0,180.0,1.0,Urban,Y
|
157 |
+
LP001824,Male,Yes,1,Graduate,No,2882,1843.0,123.0,480.0,1.0,Semiurban,Y
|
158 |
+
LP001825,Male,Yes,0,Graduate,No,1809,1868.0,90.0,360.0,1.0,Urban,Y
|
159 |
+
LP001836,Female,No,2,Graduate,No,3427,0.0,138.0,360.0,1.0,Urban,N
|
160 |
+
LP001841,Male,No,0,Not Graduate,Yes,2583,2167.0,104.0,360.0,1.0,Rural,Y
|
161 |
+
LP001849,Male,No,0,Not Graduate,No,6045,0.0,115.0,360.0,0.0,Rural,N
|
162 |
+
LP001854,Male,Yes,3+,Graduate,No,5250,0.0,94.0,360.0,1.0,Urban,N
|
163 |
+
LP001864,Male,Yes,3+,Not Graduate,No,4931,0.0,128.0,360.0,,Semiurban,N
|
164 |
+
LP001868,Male,No,0,Graduate,No,2060,2209.0,134.0,360.0,1.0,Semiurban,Y
|
165 |
+
LP001871,Female,No,0,Graduate,No,7200,0.0,120.0,360.0,1.0,Rural,Y
|
166 |
+
LP001872,Male,No,0,Graduate,Yes,5166,0.0,128.0,360.0,1.0,Semiurban,Y
|
167 |
+
LP001877,Male,Yes,2,Graduate,No,4708,1387.0,150.0,360.0,1.0,Semiurban,Y
|
168 |
+
LP001883,Female,No,0,Graduate,,3418,0.0,135.0,360.0,1.0,Rural,N
|
169 |
+
LP001884,Female,No,1,Graduate,No,2876,1560.0,90.0,360.0,1.0,Urban,Y
|
170 |
+
LP001888,Female,No,0,Graduate,No,3237,0.0,30.0,360.0,1.0,Urban,Y
|
171 |
+
LP001892,Male,No,0,Graduate,No,2833,1857.0,126.0,360.0,1.0,Rural,Y
|
172 |
+
LP001894,Male,Yes,0,Graduate,No,2620,2223.0,150.0,360.0,1.0,Semiurban,Y
|
173 |
+
LP001896,Male,Yes,2,Graduate,No,3900,0.0,90.0,360.0,1.0,Semiurban,Y
|
174 |
+
LP001900,Male,Yes,1,Graduate,No,2750,1842.0,115.0,360.0,1.0,Semiurban,Y
|
175 |
+
LP001904,Male,Yes,0,Graduate,No,3103,1300.0,80.0,360.0,1.0,Urban,Y
|
176 |
+
LP001908,Female,Yes,0,Not Graduate,No,4100,0.0,124.0,360.0,,Rural,Y
|
177 |
+
LP001914,Male,Yes,0,Graduate,No,3927,800.0,112.0,360.0,1.0,Semiurban,Y
|
178 |
+
LP001915,Male,Yes,2,Graduate,No,2301,985.7999877999998,78.0,180.0,1.0,Urban,Y
|
179 |
+
LP001917,Female,No,0,Graduate,No,1811,1666.0,54.0,360.0,1.0,Urban,Y
|
180 |
+
LP001924,Male,No,0,Graduate,No,3158,3053.0,89.0,360.0,1.0,Rural,Y
|
181 |
+
LP001925,Female,No,0,Graduate,Yes,2600,1717.0,99.0,300.0,1.0,Semiurban,N
|
182 |
+
LP001926,Male,Yes,0,Graduate,No,3704,2000.0,120.0,360.0,1.0,Rural,Y
|
183 |
+
LP001931,Female,No,0,Graduate,No,4124,0.0,115.0,360.0,1.0,Semiurban,Y
|
184 |
+
LP001936,Male,Yes,0,Graduate,No,3075,2416.0,139.0,360.0,1.0,Rural,Y
|
185 |
+
LP001938,Male,Yes,2,Graduate,No,4400,0.0,127.0,360.0,0.0,Semiurban,N
|
186 |
+
LP001940,Male,Yes,2,Graduate,No,3153,1560.0,134.0,360.0,1.0,Urban,Y
|
187 |
+
LP001945,Female,No,,Graduate,No,5417,0.0,143.0,480.0,0.0,Urban,N
|
188 |
+
LP001949,Male,Yes,3+,Graduate,,4416,1250.0,110.0,360.0,1.0,Urban,Y
|
189 |
+
LP001954,Female,Yes,1,Graduate,No,4666,0.0,135.0,360.0,1.0,Urban,Y
|
190 |
+
LP001963,Male,Yes,1,Graduate,No,2014,2925.0,113.0,360.0,1.0,Urban,N
|
191 |
+
LP001964,Male,Yes,0,Not Graduate,No,1800,2934.0,93.0,360.0,0.0,Urban,N
|
192 |
+
LP001972,Male,Yes,,Not Graduate,No,2875,1750.0,105.0,360.0,1.0,Semiurban,Y
|
193 |
+
LP001974,Female,No,0,Graduate,No,5000,0.0,132.0,360.0,1.0,Rural,Y
|
194 |
+
LP001977,Male,Yes,1,Graduate,No,1625,1803.0,96.0,360.0,1.0,Urban,Y
|
195 |
+
LP001978,Male,No,0,Graduate,No,4000,2500.0,140.0,360.0,1.0,Rural,Y
|
196 |
+
LP001993,Female,No,0,Graduate,No,3762,1666.0,135.0,360.0,1.0,Rural,Y
|
197 |
+
LP001994,Female,No,0,Graduate,No,2400,1863.0,104.0,360.0,0.0,Urban,N
|
198 |
+
LP002002,Female,No,0,Graduate,No,2917,0.0,84.0,360.0,1.0,Semiurban,Y
|
199 |
+
LP002004,Male,No,0,Not Graduate,No,2927,2405.0,111.0,360.0,1.0,Semiurban,Y
|
200 |
+
LP002006,Female,No,0,Graduate,No,2507,0.0,56.0,360.0,1.0,Rural,Y
|
201 |
+
LP002008,Male,Yes,2,Graduate,Yes,5746,0.0,144.0,84.0,,Rural,Y
|
202 |
+
LP002031,Male,Yes,1,Not Graduate,No,3399,1640.0,111.0,180.0,1.0,Urban,Y
|
203 |
+
LP002035,Male,Yes,2,Graduate,No,3717,0.0,120.0,360.0,1.0,Semiurban,Y
|
204 |
+
LP002036,Male,Yes,0,Graduate,No,2058,2134.0,88.0,360.0,,Urban,Y
|
205 |
+
LP002043,Female,No,1,Graduate,No,3541,0.0,112.0,360.0,,Semiurban,Y
|
206 |
+
LP002051,Male,Yes,0,Graduate,No,2400,2167.0,115.0,360.0,1.0,Semiurban,Y
|
207 |
+
LP002053,Male,Yes,3+,Graduate,No,4342,189.0,124.0,360.0,1.0,Semiurban,Y
|
208 |
+
LP002055,Female,No,0,Graduate,No,3166,2985.0,132.0,360.0,,Rural,Y
|
209 |
+
LP002068,Male,No,0,Graduate,No,4917,0.0,130.0,360.0,0.0,Rural,Y
|
210 |
+
LP002086,Female,Yes,0,Graduate,No,4333,2451.0,110.0,360.0,1.0,Urban,N
|
211 |
+
LP002087,Female,No,0,Graduate,No,2500,0.0,67.0,360.0,1.0,Urban,Y
|
212 |
+
LP002097,Male,No,1,Graduate,No,4384,1793.0,117.0,360.0,1.0,Urban,Y
|
213 |
+
LP002098,Male,No,0,Graduate,No,2935,0.0,98.0,360.0,1.0,Semiurban,Y
|
214 |
+
LP002100,Male,No,,Graduate,No,2833,0.0,71.0,360.0,1.0,Urban,Y
|
215 |
+
LP002106,Male,Yes,,Graduate,Yes,5503,4490.0,70.0,,1.0,Semiurban,Y
|
216 |
+
LP002114,Female,No,0,Graduate,No,4160,0.0,71.0,360.0,1.0,Semiurban,Y
|
217 |
+
LP002116,Female,No,0,Graduate,No,2378,0.0,46.0,360.0,1.0,Rural,N
|
218 |
+
LP002126,Male,Yes,3+,Not Graduate,No,3173,0.0,74.0,360.0,1.0,Semiurban,Y
|
219 |
+
LP002128,Male,Yes,2,Graduate,,2583,2330.0,125.0,360.0,1.0,Rural,Y
|
220 |
+
LP002131,Male,Yes,2,Not Graduate,No,3083,2168.0,126.0,360.0,1.0,Urban,Y
|
221 |
+
LP002141,Male,Yes,3+,Graduate,No,2666,2083.0,95.0,360.0,1.0,Rural,Y
|
222 |
+
LP002142,Female,Yes,0,Graduate,Yes,5500,0.0,105.0,360.0,0.0,Rural,N
|
223 |
+
LP002143,Female,Yes,0,Graduate,No,2423,505.0,130.0,360.0,1.0,Semiurban,Y
|
224 |
+
LP002144,Female,No,,Graduate,No,3813,0.0,116.0,180.0,1.0,Urban,Y
|
225 |
+
LP002151,Male,Yes,1,Graduate,No,3875,0.0,67.0,360.0,1.0,Urban,N
|
226 |
+
LP002158,Male,Yes,0,Not Graduate,No,3000,1666.0,100.0,480.0,0.0,Urban,N
|
227 |
+
LP002161,Female,No,1,Graduate,No,4723,0.0,81.0,360.0,1.0,Semiurban,N
|
228 |
+
LP002175,Male,Yes,0,Graduate,No,4750,2333.0,130.0,360.0,1.0,Urban,Y
|
229 |
+
LP002178,Male,Yes,0,Graduate,No,3013,3033.0,95.0,300.0,,Urban,Y
|
230 |
+
LP002180,Male,No,0,Graduate,Yes,6822,0.0,141.0,360.0,1.0,Rural,Y
|
231 |
+
LP002181,Male,No,0,Not Graduate,No,6216,0.0,133.0,360.0,1.0,Rural,N
|
232 |
+
LP002187,Male,No,0,Graduate,No,2500,0.0,96.0,480.0,1.0,Semiurban,N
|
233 |
+
LP002188,Male,No,0,Graduate,No,5124,0.0,124.0,,0.0,Rural,N
|
234 |
+
LP002205,Male,No,1,Graduate,No,3062,1987.0,111.0,180.0,0.0,Urban,N
|
235 |
+
LP002209,Female,No,0,Graduate,,2764,1459.0,110.0,360.0,1.0,Urban,Y
|
236 |
+
LP002211,Male,Yes,0,Graduate,No,4817,923.0,120.0,180.0,1.0,Urban,Y
|
237 |
+
LP002219,Male,Yes,3+,Graduate,No,8750,4996.0,130.0,360.0,1.0,Rural,Y
|
238 |
+
LP002223,Male,Yes,0,Graduate,No,4310,0.0,130.0,360.0,,Semiurban,Y
|
239 |
+
LP002224,Male,No,0,Graduate,No,3069,0.0,71.0,480.0,1.0,Urban,N
|
240 |
+
LP002225,Male,Yes,2,Graduate,No,5391,0.0,130.0,360.0,1.0,Urban,Y
|
241 |
+
LP002226,Male,Yes,0,Graduate,,3333,2500.0,128.0,360.0,1.0,Semiurban,Y
|
242 |
+
LP002234,Male,No,0,Graduate,Yes,7167,0.0,128.0,360.0,1.0,Urban,Y
|
243 |
+
LP002236,Male,Yes,2,Graduate,No,4566,0.0,100.0,360.0,1.0,Urban,N
|
244 |
+
LP002237,Male,No,1,Graduate,,3667,0.0,113.0,180.0,1.0,Urban,Y
|
245 |
+
LP002239,Male,No,0,Not Graduate,No,2346,1600.0,132.0,360.0,1.0,Semiurban,Y
|
246 |
+
LP002244,Male,Yes,0,Graduate,No,2333,2417.0,136.0,360.0,1.0,Urban,Y
|
247 |
+
LP002250,Male,Yes,0,Graduate,No,5488,0.0,125.0,360.0,1.0,Rural,Y
|
248 |
+
LP002263,Male,Yes,0,Graduate,No,2583,2115.0,120.0,360.0,,Urban,Y
|
249 |
+
LP002265,Male,Yes,2,Not Graduate,No,1993,1625.0,113.0,180.0,1.0,Semiurban,Y
|
250 |
+
LP002266,Male,Yes,2,Graduate,No,3100,1400.0,113.0,360.0,1.0,Urban,Y
|
251 |
+
LP002272,Male,Yes,2,Graduate,No,3276,484.0,135.0,360.0,,Semiurban,Y
|
252 |
+
LP002277,Female,No,0,Graduate,No,3180,0.0,71.0,360.0,0.0,Urban,N
|
253 |
+
LP002281,Male,Yes,0,Graduate,No,3033,1459.0,95.0,360.0,1.0,Urban,Y
|
254 |
+
LP002284,Male,No,0,Not Graduate,No,3902,1666.0,109.0,360.0,1.0,Rural,Y
|
255 |
+
LP002287,Female,No,0,Graduate,No,1500,1800.0,103.0,360.0,0.0,Semiurban,N
|
256 |
+
LP002288,Male,Yes,2,Not Graduate,No,2889,0.0,45.0,180.0,0.0,Urban,N
|
257 |
+
LP002296,Male,No,0,Not Graduate,No,2755,0.0,65.0,300.0,1.0,Rural,N
|
258 |
+
LP002297,Male,No,0,Graduate,No,2500,20000.0,103.0,360.0,1.0,Semiurban,Y
|
259 |
+
LP002300,Female,No,0,Not Graduate,No,1963,0.0,53.0,360.0,1.0,Semiurban,Y
|
260 |
+
LP002305,Female,No,0,Graduate,No,4547,0.0,115.0,360.0,1.0,Semiurban,Y
|
261 |
+
LP002308,Male,Yes,0,Not Graduate,No,2167,2400.0,115.0,360.0,1.0,Urban,Y
|
262 |
+
LP002314,Female,No,0,Not Graduate,No,2213,0.0,66.0,360.0,1.0,Rural,Y
|
263 |
+
LP002318,Female,No,1,Not Graduate,Yes,3867,0.0,62.0,360.0,1.0,Semiurban,N
|
264 |
+
LP002332,Male,Yes,0,Not Graduate,No,2253,2033.0,110.0,360.0,1.0,Rural,Y
|
265 |
+
LP002337,Female,No,0,Graduate,No,2995,0.0,60.0,360.0,1.0,Urban,Y
|
266 |
+
LP002345,Male,Yes,0,Graduate,No,1025,2773.0,112.0,360.0,1.0,Rural,Y
|
267 |
+
LP002347,Male,Yes,0,Graduate,No,3246,1417.0,138.0,360.0,1.0,Semiurban,Y
|
268 |
+
LP002348,Male,Yes,0,Graduate,No,5829,0.0,138.0,360.0,1.0,Rural,Y
|
269 |
+
LP002357,Female,No,0,Not Graduate,No,2720,0.0,80.0,,0.0,Urban,N
|
270 |
+
LP002361,Male,Yes,0,Graduate,No,1820,1719.0,100.0,360.0,1.0,Urban,Y
|
271 |
+
LP002362,Male,Yes,1,Graduate,No,7250,1667.0,110.0,,0.0,Urban,N
|
272 |
+
LP002366,Male,Yes,0,Graduate,No,2666,4300.0,121.0,360.0,1.0,Rural,Y
|
273 |
+
LP002367,Female,No,1,Not Graduate,No,4606,0.0,81.0,360.0,1.0,Rural,N
|
274 |
+
LP002368,Male,Yes,2,Graduate,No,5935,0.0,133.0,360.0,1.0,Semiurban,Y
|
275 |
+
LP002369,Male,Yes,0,Graduate,No,2920,16.12000084,87.0,360.0,1.0,Rural,Y
|
276 |
+
LP002370,Male,No,0,Not Graduate,No,2717,0.0,60.0,180.0,1.0,Urban,Y
|
277 |
+
LP002377,Female,No,1,Graduate,Yes,8624,0.0,150.0,360.0,1.0,Semiurban,Y
|
278 |
+
LP002379,Male,No,0,Graduate,No,6500,0.0,105.0,360.0,0.0,Rural,N
|
279 |
+
LP002387,Male,Yes,0,Graduate,No,2425,2340.0,143.0,360.0,1.0,Semiurban,Y
|
280 |
+
LP002390,Male,No,0,Graduate,No,3750,0.0,100.0,360.0,1.0,Urban,Y
|
281 |
+
LP002398,Male,No,0,Graduate,No,1926,1851.0,50.0,360.0,1.0,Semiurban,Y
|
282 |
+
LP002407,Female,Yes,0,Not Graduate,Yes,7142,0.0,138.0,360.0,1.0,Rural,Y
|
283 |
+
LP002418,Male,No,3+,Not Graduate,No,4707,1993.0,148.0,360.0,1.0,Semiurban,Y
|
284 |
+
LP002429,Male,Yes,1,Graduate,Yes,3466,1210.0,130.0,360.0,1.0,Rural,Y
|
285 |
+
LP002434,Male,Yes,2,Not Graduate,No,4652,0.0,110.0,360.0,1.0,Rural,Y
|
286 |
+
LP002435,Male,Yes,0,Graduate,,3539,1376.0,55.0,360.0,1.0,Rural,N
|
287 |
+
LP002443,Male,Yes,2,Graduate,No,3340,1710.0,150.0,360.0,0.0,Rural,N
|
288 |
+
LP002446,Male,Yes,2,Not Graduate,No,2309,1255.0,125.0,360.0,0.0,Rural,N
|
289 |
+
LP002447,Male,Yes,2,Not Graduate,No,1958,1456.0,60.0,300.0,,Urban,Y
|
290 |
+
LP002448,Male,Yes,0,Graduate,No,3948,1733.0,149.0,360.0,0.0,Rural,N
|
291 |
+
LP002449,Male,Yes,0,Graduate,No,2483,2466.0,90.0,180.0,0.0,Rural,Y
|
292 |
+
LP002453,Male,No,0,Graduate,Yes,7085,0.0,84.0,360.0,1.0,Semiurban,Y
|
293 |
+
LP002455,Male,Yes,2,Graduate,No,3859,0.0,96.0,360.0,1.0,Semiurban,Y
|
294 |
+
LP002459,Male,Yes,0,Graduate,No,4301,0.0,118.0,360.0,1.0,Urban,Y
|
295 |
+
LP002472,Male,No,2,Graduate,No,4354,0.0,136.0,360.0,1.0,Rural,Y
|
296 |
+
LP002484,Male,Yes,3+,Graduate,No,7740,0.0,128.0,180.0,1.0,Urban,Y
|
297 |
+
LP002489,Female,No,1,Not Graduate,,5191,0.0,132.0,360.0,1.0,Semiurban,Y
|
298 |
+
LP002493,Male,No,0,Graduate,No,4166,0.0,98.0,360.0,0.0,Semiurban,N
|
299 |
+
LP002494,Male,No,0,Graduate,No,6000,0.0,140.0,360.0,1.0,Rural,Y
|
300 |
+
LP002500,Male,Yes,3+,Not Graduate,No,2947,1664.0,70.0,180.0,0.0,Urban,N
|
301 |
+
LP002502,Female,Yes,2,Not Graduate,,210,2917.0,98.0,360.0,1.0,Semiurban,Y
|
302 |
+
LP002505,Male,Yes,0,Graduate,No,4333,2451.0,110.0,360.0,1.0,Urban,N
|
303 |
+
LP002517,Male,Yes,1,Not Graduate,No,2653,1500.0,113.0,180.0,0.0,Rural,N
|
304 |
+
LP002519,Male,Yes,3+,Graduate,No,4691,0.0,100.0,360.0,1.0,Semiurban,Y
|
305 |
+
LP002522,Female,No,0,Graduate,Yes,2500,0.0,93.0,360.0,,Urban,Y
|
306 |
+
LP002530,,Yes,2,Graduate,No,2873,1872.0,132.0,360.0,0.0,Semiurban,N
|
307 |
+
LP002536,Male,Yes,3+,Not Graduate,No,3095,0.0,113.0,360.0,1.0,Rural,Y
|
308 |
+
LP002537,Male,Yes,0,Graduate,No,2083,3150.0,128.0,360.0,1.0,Semiurban,Y
|
309 |
+
LP002544,Male,Yes,1,Not Graduate,No,1958,2436.0,131.0,360.0,1.0,Rural,Y
|
310 |
+
LP002545,Male,No,2,Graduate,No,3547,0.0,80.0,360.0,0.0,Rural,N
|
311 |
+
LP002556,Male,No,0,Graduate,No,2435,0.0,75.0,360.0,1.0,Urban,N
|
312 |
+
LP002560,Male,No,0,Not Graduate,No,2699,2785.0,96.0,360.0,,Semiurban,Y
|
313 |
+
LP002571,Male,No,0,Not Graduate,No,3691,0.0,110.0,360.0,1.0,Rural,Y
|
314 |
+
LP002585,Male,Yes,0,Graduate,No,3597,2157.0,119.0,360.0,0.0,Rural,N
|
315 |
+
LP002586,Female,Yes,1,Graduate,No,3326,913.0,105.0,84.0,1.0,Semiurban,Y
|
316 |
+
LP002587,Male,Yes,0,Not Graduate,No,2600,1700.0,107.0,360.0,1.0,Rural,Y
|
317 |
+
LP002588,Male,Yes,0,Graduate,No,4625,2857.0,111.0,12.0,,Urban,Y
|
318 |
+
LP002600,Male,Yes,1,Graduate,Yes,2895,0.0,95.0,360.0,1.0,Semiurban,Y
|
319 |
+
LP002603,Female,No,0,Graduate,No,645,3683.0,113.0,480.0,1.0,Rural,Y
|
320 |
+
LP002606,Female,No,0,Graduate,No,3159,0.0,100.0,360.0,1.0,Semiurban,Y
|
321 |
+
LP002618,Male,Yes,1,Not Graduate,No,4050,5302.0,138.0,360.0,,Rural,N
|
322 |
+
LP002619,Male,Yes,0,Not Graduate,No,3814,1483.0,124.0,300.0,1.0,Semiurban,Y
|
323 |
+
LP002625,,No,0,Graduate,No,3583,0.0,96.0,360.0,1.0,Urban,N
|
324 |
+
LP002637,Male,No,0,Not Graduate,No,3598,1287.0,100.0,360.0,1.0,Rural,N
|
325 |
+
LP002643,Male,Yes,2,Graduate,No,3283,2035.0,148.0,360.0,1.0,Urban,Y
|
326 |
+
LP002648,Male,Yes,0,Graduate,No,2130,6666.0,70.0,180.0,1.0,Semiurban,N
|
327 |
+
LP002659,Male,Yes,3+,Graduate,No,3466,3428.0,150.0,360.0,1.0,Rural,Y
|
328 |
+
LP002670,Female,Yes,2,Graduate,No,2031,1632.0,113.0,480.0,1.0,Semiurban,Y
|
329 |
+
LP002682,Male,Yes,,Not Graduate,No,3074,1800.0,123.0,360.0,0.0,Semiurban,N
|
330 |
+
LP002684,Female,No,0,Not Graduate,No,3400,0.0,95.0,360.0,1.0,Rural,N
|
331 |
+
LP002689,Male,Yes,2,Not Graduate,No,2192,1742.0,45.0,360.0,1.0,Semiurban,Y
|
332 |
+
LP002690,Male,No,0,Graduate,No,2500,0.0,55.0,360.0,1.0,Semiurban,Y
|
333 |
+
LP002692,Male,Yes,3+,Graduate,Yes,5677,1424.0,100.0,360.0,1.0,Rural,Y
|
334 |
+
LP002705,Male,Yes,0,Graduate,No,3775,0.0,110.0,360.0,1.0,Semiurban,Y
|
335 |
+
LP002714,Male,No,1,Not Graduate,No,2679,1302.0,94.0,360.0,1.0,Semiurban,Y
|
336 |
+
LP002716,Male,No,0,Not Graduate,No,6783,0.0,130.0,360.0,1.0,Semiurban,Y
|
337 |
+
LP002720,Male,Yes,3+,Graduate,No,4281,0.0,100.0,360.0,1.0,Urban,Y
|
338 |
+
LP002723,Male,No,2,Graduate,No,3588,0.0,110.0,360.0,0.0,Rural,N
|
339 |
+
LP002732,Male,No,0,Not Graduate,,2550,2042.0,126.0,360.0,1.0,Rural,Y
|
340 |
+
LP002738,Male,No,2,Graduate,No,3617,0.0,107.0,360.0,1.0,Semiurban,Y
|
341 |
+
LP002739,Male,Yes,0,Not Graduate,No,2917,536.0,66.0,360.0,1.0,Rural,N
|
342 |
+
LP002741,Female,Yes,1,Graduate,No,4608,2845.0,140.0,180.0,1.0,Semiurban,Y
|
343 |
+
LP002743,Female,No,0,Graduate,No,2138,0.0,99.0,360.0,0.0,Semiurban,N
|
344 |
+
LP002753,Female,No,1,Graduate,,3652,0.0,95.0,360.0,1.0,Semiurban,Y
|
345 |
+
LP002755,Male,Yes,1,Not Graduate,No,2239,2524.0,128.0,360.0,1.0,Urban,Y
|
346 |
+
LP002757,Female,Yes,0,Not Graduate,No,3017,663.0,102.0,360.0,,Semiurban,Y
|
347 |
+
LP002768,Male,No,0,Not Graduate,No,3358,0.0,80.0,36.0,1.0,Semiurban,N
|
348 |
+
LP002772,Male,No,0,Graduate,No,2526,1783.0,145.0,360.0,1.0,Rural,Y
|
349 |
+
LP002776,Female,No,0,Graduate,No,5000,0.0,103.0,360.0,0.0,Semiurban,N
|
350 |
+
LP002777,Male,Yes,0,Graduate,No,2785,2016.0,110.0,360.0,1.0,Rural,Y
|
351 |
+
LP002789,Male,Yes,0,Graduate,No,3593,4266.0,132.0,180.0,0.0,Rural,N
|
352 |
+
LP002792,Male,Yes,1,Graduate,No,5468,1032.0,26.0,360.0,1.0,Semiurban,Y
|
353 |
+
LP002794,Female,No,0,Graduate,No,2667,1625.0,84.0,360.0,,Urban,Y
|
354 |
+
LP002807,Male,Yes,2,Not Graduate,No,3675,242.0,108.0,360.0,1.0,Semiurban,Y
|
355 |
+
LP002821,Male,No,0,Not Graduate,Yes,5800,0.0,132.0,360.0,1.0,Semiurban,Y
|
356 |
+
LP002833,Male,Yes,0,Not Graduate,No,4467,0.0,120.0,360.0,,Rural,Y
|
357 |
+
LP002836,Male,No,0,Graduate,No,3333,0.0,70.0,360.0,1.0,Urban,Y
|
358 |
+
LP002837,Male,Yes,3+,Graduate,No,3400,2500.0,123.0,360.0,0.0,Rural,N
|
359 |
+
LP002840,Female,No,0,Graduate,No,2378,0.0,9.0,360.0,1.0,Urban,N
|
360 |
+
LP002841,Male,Yes,0,Graduate,No,3166,2064.0,104.0,360.0,0.0,Urban,N
|
361 |
+
LP002863,Male,Yes,3+,Graduate,No,6406,0.0,150.0,360.0,1.0,Semiurban,N
|
362 |
+
LP002868,Male,Yes,2,Graduate,No,3159,461.0,108.0,84.0,1.0,Urban,Y
|
363 |
+
LP002872,,Yes,0,Graduate,No,3087,2210.0,136.0,360.0,0.0,Semiurban,N
|
364 |
+
LP002874,Male,No,0,Graduate,No,3229,2739.0,110.0,360.0,1.0,Urban,Y
|
365 |
+
LP002877,Male,Yes,1,Graduate,No,1782,2232.0,107.0,360.0,1.0,Rural,Y
|
366 |
+
LP002893,Male,No,0,Graduate,No,1836,33837.0,90.0,360.0,1.0,Urban,N
|
367 |
+
LP002894,Female,Yes,0,Graduate,No,3166,0.0,36.0,360.0,1.0,Semiurban,Y
|
368 |
+
LP002898,Male,Yes,1,Graduate,No,1880,0.0,61.0,360.0,,Rural,N
|
369 |
+
LP002911,Male,Yes,1,Graduate,No,2787,1917.0,146.0,360.0,0.0,Rural,N
|
370 |
+
LP002916,Male,Yes,0,Graduate,No,2297,1522.0,104.0,360.0,1.0,Urban,Y
|
371 |
+
LP002917,Female,No,0,Not Graduate,No,2165,0.0,70.0,360.0,1.0,Semiurban,Y
|
372 |
+
LP002925,,No,0,Graduate,No,4750,0.0,94.0,360.0,1.0,Semiurban,Y
|
373 |
+
LP002926,Male,Yes,2,Graduate,Yes,2726,0.0,106.0,360.0,0.0,Semiurban,N
|
374 |
+
LP002928,Male,Yes,0,Graduate,No,3000,3416.0,56.0,180.0,1.0,Semiurban,Y
|
375 |
+
LP002936,Male,Yes,0,Graduate,No,3859,3300.0,142.0,180.0,1.0,Rural,Y
|
376 |
+
LP002940,Male,No,0,Not Graduate,No,3833,0.0,110.0,360.0,1.0,Rural,Y
|
377 |
+
LP002943,Male,No,,Graduate,No,2987,0.0,88.0,360.0,0.0,Semiurban,N
|
378 |
+
LP002953,Male,Yes,3+,Graduate,No,5703,0.0,128.0,360.0,1.0,Urban,Y
|
379 |
+
LP002974,Male,Yes,0,Graduate,No,3232,1950.0,108.0,360.0,1.0,Rural,Y
|
380 |
+
LP002978,Female,No,0,Graduate,No,2900,0.0,71.0,360.0,1.0,Rural,Y
|
381 |
+
LP002979,Male,Yes,3+,Graduate,No,4106,0.0,40.0,180.0,1.0,Rural,Y
|
382 |
+
LP002990,Female,No,0,Graduate,Yes,4583,0.0,133.0,360.0,0.0,Semiurban,N
|