Dataset: Miami Housing Dataset

About this Dataset

Miami Housing Dataset

Content

The dataset contains information on 13,932 single-family homes sold in Miami .

Content

The dataset contains the following columns:

PARCELNO: unique identifier for each property. About 1% appear multiple times.
SALE_PRC: sale price ($)
LND_SQFOOT: land area (square feet)
TOT_LVG_AREA: floor area (square feet)
SPEC_FEAT_VAL: value of special features (e.g., swimming pools) ($)
RAIL_DIST: distance to the nearest rail line (an indicator of noise) (feet)
OCEAN_DIST: distance to the ocean (feet)
WATER_DIST: distance to the nearest body of water (feet)
CNTR_DIST: distance to the Miami central business district (feet)
SUBCNTR_DI: distance to the nearest subcenter (feet)
HWY_DIST: distance to the nearest highway (an indicator of noise) (feet)
age: age of the structure
avno60plus: dummy variable for airplane noise exceeding an acceptable level
structure_quality: quality of the structure
month_sold: sale month in 2016 (1 = jan)
LATITUDE
LONGITUDE

Tables

Miami Housing

@kaggle.deepcontractor_miami_housing_dataset.miami_housing

1.05 MB
13932 rows
17 columns


CREATE TABLE miami_housing (
  "latitude" DOUBLE,
  "longitude" DOUBLE,
  "parcelno" BIGINT,
  "sale_prc" DOUBLE,
  "lnd_sqfoot" BIGINT,
  "tot_lvg_area" BIGINT,
  "spec_feat_val" BIGINT,
  "rail_dist" DOUBLE,
  "ocean_dist" DOUBLE,
  "water_dist" DOUBLE,
  "cntr_dist" DOUBLE,
  "subcntr_di" DOUBLE,
  "hwy_dist" DOUBLE,
  "age" BIGINT,
  "avno60plus" BIGINT,
  "month_sold" BIGINT,
  "structure_quality" BIGINT
);