From: Predictive analytics using Big Data for the real estate market during the COVID-19 pandemic
N | Mean | Std | Min | Max | VIF | |
---|---|---|---|---|---|---|
Number of rooms | 1799 | 2.016676 | 0.88035 | 1.000000 | 6.000000 | 2.794912 |
Sq.m | 1799 | 52.51318 | 27.8767 | 1.000000 | 300.000 | 3.501264 |
Apartment floor | 1799 | 3.067815 | 1.7935 | 1.000000 | 9.000000 | 1.145140 |
Number of floors in the building | 1799 | 4.801556 | 2.1573 | 1.000000 | 9.000000 | 1.198230 |
Year | 1799 | 1985.669 | 38.7276 | 1521.00 | 2102.000 | 1.185635 |
Distance to shop | 1799 | 298.4991 | 290.181 | 10.000000 | 5200.0000 | 1.906072 |
Distance to school | 1799 | 371.4508 | 371.727 | 10.000000 | 4600.0000 | 1.944286 |
Distance to kinder | 1799 | 328.0322 | 311.322 | 10.000000 | 4300.0000 | 1.645901 |
Heating | 1799 | 0.186525 | 0.026446 | 0.000000 | 0.333333 | 1.022265 |
Time on the market (TOM) | 1799 | 20.2779 | 26.6619 | 0.000000 | 176.0000 | 1.069220 |
Initial listing price | 1799 | 518.7050 | 318.1839 | 95.000000 | 3000.000 | 2.857612 |
If located at city center | 1799 | 0.375208 | 0.484311 | 0.000000 | 1.000000 | 1.395546 |
If price change occurred | 1799 | 0.186215 | 0.389388 | 0.000000 | 1.000000 |