{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"id": "57d71eb7-d1a2-43a5-9513-d7b8ccfe9815",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "42066fc9-e9b8-4ae7-8930-72da4a61b555",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" price | \n",
" area | \n",
" bedrooms | \n",
" bathrooms | \n",
" stories | \n",
" mainroad | \n",
" guestroom | \n",
" basement | \n",
" hotwaterheating | \n",
" airconditioning | \n",
" parking | \n",
" prefarea | \n",
" furnishingstatus | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" 13300000 | \n",
" 7420 | \n",
" 4 | \n",
" 2 | \n",
" 3 | \n",
" yes | \n",
" no | \n",
" no | \n",
" no | \n",
" yes | \n",
" 2 | \n",
" yes | \n",
" furnished | \n",
"
\n",
" \n",
" | 1 | \n",
" 12250000 | \n",
" 8960 | \n",
" 4 | \n",
" 4 | \n",
" 4 | \n",
" yes | \n",
" no | \n",
" no | \n",
" no | \n",
" yes | \n",
" 3 | \n",
" no | \n",
" furnished | \n",
"
\n",
" \n",
" | 2 | \n",
" 12250000 | \n",
" 9960 | \n",
" 3 | \n",
" 2 | \n",
" 2 | \n",
" yes | \n",
" no | \n",
" yes | \n",
" no | \n",
" no | \n",
" 2 | \n",
" yes | \n",
" semi-furnished | \n",
"
\n",
" \n",
" | 3 | \n",
" 12215000 | \n",
" 7500 | \n",
" 4 | \n",
" 2 | \n",
" 2 | \n",
" yes | \n",
" no | \n",
" yes | \n",
" no | \n",
" yes | \n",
" 3 | \n",
" yes | \n",
" furnished | \n",
"
\n",
" \n",
" | 4 | \n",
" 11410000 | \n",
" 7420 | \n",
" 4 | \n",
" 1 | \n",
" 2 | \n",
" yes | \n",
" yes | \n",
" yes | \n",
" no | \n",
" yes | \n",
" 2 | \n",
" no | \n",
" furnished | \n",
"
\n",
" \n",
"
\n",
"
\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" price | \n",
" area | \n",
" bedrooms | \n",
" bathrooms | \n",
" stories | \n",
" parking | \n",
"
\n",
" \n",
" \n",
" \n",
" | count | \n",
" 5.450000e+02 | \n",
" 545.000000 | \n",
" 545.000000 | \n",
" 545.000000 | \n",
" 545.000000 | \n",
" 545.000000 | \n",
"
\n",
" \n",
" | mean | \n",
" 4.766729e+06 | \n",
" 5150.541284 | \n",
" 2.965138 | \n",
" 1.286239 | \n",
" 1.805505 | \n",
" 0.693578 | \n",
"
\n",
" \n",
" | std | \n",
" 1.870440e+06 | \n",
" 2170.141023 | \n",
" 0.738064 | \n",
" 0.502470 | \n",
" 0.867492 | \n",
" 0.861586 | \n",
"
\n",
" \n",
" | min | \n",
" 1.750000e+06 | \n",
" 1650.000000 | \n",
" 1.000000 | \n",
" 1.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" | 25% | \n",
" 3.430000e+06 | \n",
" 3600.000000 | \n",
" 2.000000 | \n",
" 1.000000 | \n",
" 1.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" | 50% | \n",
" 4.340000e+06 | \n",
" 4600.000000 | \n",
" 3.000000 | \n",
" 1.000000 | \n",
" 2.000000 | \n",
" 0.000000 | \n",
"
\n",
" \n",
" | 75% | \n",
" 5.740000e+06 | \n",
" 6360.000000 | \n",
" 3.000000 | \n",
" 2.000000 | \n",
" 2.000000 | \n",
" 1.000000 | \n",
"
\n",
" \n",
" | max | \n",
" 1.330000e+07 | \n",
" 16200.000000 | \n",
" 6.000000 | \n",
" 4.000000 | \n",
" 4.000000 | \n",
" 3.000000 | \n",
"
\n",
" \n",
"
\n",
"