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Datasets:
misikoff
/
zillow

Tasks:
Tabular Regression
Time Series Forecasting
Languages:
English
License:
Dataset card Files Community
misikoff commited on
Commit
599590e
·
1 Parent(s): afb4bd3

fix: update checker and remove old files

Browse files
Files changed (2) hide show
  1. checker.ipynb +54 -45
  2. processors/rentals.ipynb +318 -2
checker.ipynb CHANGED
@@ -18,9 +18,18 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 17,
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  "metadata": {},
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- "outputs": [],
 
 
 
 
 
 
 
 
 
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  "source": [
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  "from datasets import load_dataset\n",
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  "from os import path"
@@ -28,133 +37,133 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 19,
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  "metadata": {},
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  "outputs": [
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "home_values_forecasts\n"
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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- "Downloading readme: 100%|██████████| 24.0k/24.0k [00:00<00:00, 24.7MB/s]\n",
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- "Generating train split: 100%|██████████| 31854/31854 [00:01<00:00, 26905.24 examples/s]\n",
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- "Creating parquet from Arrow format: 100%|██████████| 32/32 [00:00<00:00, 813.13ba/s]\n"
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  ]
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  },
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  {
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  "name": "stdout",
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  "output_type": "stream",
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- "new_construction\n"
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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- "Downloading readme: 100%|██████████| 24.0k/24.0k [00:00<00:00, 28.7MB/s]\n",
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- "Downloading data: 100%|██████████| 10.9M/10.9M [00:00<00:00, 21.7MB/s]\n",
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  ]
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "for_sale_listings\n"
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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- "Downloading data: 100%|██████████| 180M/180M [00:04<00:00, 37.8MB/s] \n",
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- "Generating train split: 100%|██████████| 578653/578653 [00:18<00:00, 31984.31 examples/s]\n",
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- "Creating parquet from Arrow format: 100%|██████████| 579/579 [00:00<00:00, 1326.61ba/s]\n"
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  ]
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  },
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "rentals\n"
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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  },
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "sales\n"
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  ]
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  },
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  {
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  "name": "stderr",
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  "text": [
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  ]
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "home_values\n"
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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  ]
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "days_on_market\n"
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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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": 2,
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  "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "/Users/misikoff/opt/anaconda3/envs/sta663/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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+ " from .autonotebook import tqdm as notebook_tqdm\n"
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+ ]
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+ }
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+ ],
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  "source": [
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  "from datasets import load_dataset\n",
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  "from os import path"
 
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  },
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  {
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  "cell_type": "code",
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+ "execution_count": 3,
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  "metadata": {},
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  "outputs": [
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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+ "days_on_market\n"
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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  ]
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  "name": "stdout",
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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  ]
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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+ "home_values\n"
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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  "name": "stdout",
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  "output_type": "stream",
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  ]
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  },
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  "name": "stderr",
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  "name": "stdout",
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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  ]
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  },
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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  ]
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  },
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  {
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  "name": "stderr",
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  "output_type": "stream",
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  "text": [
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  }
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  ],
processors/rentals.ipynb CHANGED
@@ -31,7 +31,323 @@
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  "cell_type": "code",
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  "execution_count": 3,
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  "metadata": {},
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- "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "source": [
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  "data_frames = []\n",
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  "\n",
@@ -774,7 +1090,7 @@
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  },
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  {
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  "cell_type": "code",
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- "execution_count": 7,
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  "metadata": {},
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  "outputs": [],
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  "source": [
 
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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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+ "data": {
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+ "text/html": [
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+ "<div>\n",
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+ "<style scoped>\n",
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+ " .dataframe tbody tr th:only-of-type {\n",
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+ " vertical-align: middle;\n",
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+ " }\n",
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+ " vertical-align: top;\n",
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+ " text-align: right;\n",
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+ "<table border=\"1\" class=\"dataframe\">\n",
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+ " <thead>\n",
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+ " <tr style=\"text-align: right;\">\n",
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+ " <th></th>\n",
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+ " <th>RegionID</th>\n",
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+ " <th>RegionName</th>\n",
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+ " <th>RegionType</th>\n",
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+ " <th>StateName</th>\n",
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+ " <th>Home Type</th>\n",
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+ " <th>State</th>\n",
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+ " <th>Metro</th>\n",
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+ " <th>StateCodeFIPS</th>\n",
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+ " <th>MunicipalCodeFIPS</th>\n",
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+ " <th>Date</th>\n",
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+ " <th>Rent (Smoothed)</th>\n",
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+ " <th>CountyName</th>\n",
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+ " <th>Rent (Smoothed) (Seasonally Adjusted)</th>\n",
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+ " <th>City</th>\n",
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+ " <td>Boise City, ID</td>\n",
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+ " <td>Boise City, ID</td>\n",
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+ " <td>county</td>\n",
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+ " <td>ID</td>\n",
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+ " <td>all homes plus multifamily</td>\n",
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+ " <td>16.0</td>\n",
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+ " <td>Boise City, ID</td>\n",
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+ " <td>ID</td>\n",
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+ " <td>all homes plus multifamily</td>\n",
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+ " <td>16.0</td>\n",
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+ " <td>Boise City, ID</td>\n",
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+ " <th>4</th>\n",
148
+ " <td>66</td>\n",
149
+ " <td>146</td>\n",
150
+ " <td>Ada County</td>\n",
151
+ " <td>county</td>\n",
152
+ " <td>ID</td>\n",
153
+ " <td>all homes plus multifamily</td>\n",
154
+ " <td>16.0</td>\n",
155
+ " <td>Boise City, ID</td>\n",
156
+ " <td>16.0</td>\n",
157
+ " <td>1.0</td>\n",
158
+ " <td>2015-05-31</td>\n",
159
+ " <td>941.045724</td>\n",
160
+ " <td>NaN</td>\n",
161
+ " <td>941.045724</td>\n",
162
+ " <td>NaN</td>\n",
163
+ " </tr>\n",
164
+ " <tr>\n",
165
+ " <th>...</th>\n",
166
+ " <td>...</td>\n",
167
+ " <td>...</td>\n",
168
+ " <td>...</td>\n",
169
+ " <td>...</td>\n",
170
+ " <td>...</td>\n",
171
+ " <td>...</td>\n",
172
+ " <td>...</td>\n",
173
+ " <td>...</td>\n",
174
+ " <td>...</td>\n",
175
+ " <td>...</td>\n",
176
+ " <td>...</td>\n",
177
+ " <td>...</td>\n",
178
+ " <td>...</td>\n",
179
+ " <td>...</td>\n",
180
+ " <td>...</td>\n",
181
+ " </tr>\n",
182
+ " <tr>\n",
183
+ " <th>1258735</th>\n",
184
+ " <td>857850</td>\n",
185
+ " <td>713</td>\n",
186
+ " <td>Cherry Hill</td>\n",
187
+ " <td>city</td>\n",
188
+ " <td>NJ</td>\n",
189
+ " <td>all homes plus multifamily</td>\n",
190
+ " <td>NJ</td>\n",
191
+ " <td>Philadelphia-Camden-Wilmington, PA-NJ-DE-MD</td>\n",
192
+ " <td>NaN</td>\n",
193
+ " <td>NaN</td>\n",
194
+ " <td>2023-08-31</td>\n",
195
+ " <td>2291.604800</td>\n",
196
+ " <td>Camden County</td>\n",
197
+ " <td>2244.961006</td>\n",
198
+ " <td>NaN</td>\n",
199
+ " </tr>\n",
200
+ " <tr>\n",
201
+ " <th>1258736</th>\n",
202
+ " <td>857850</td>\n",
203
+ " <td>713</td>\n",
204
+ " <td>Cherry Hill</td>\n",
205
+ " <td>city</td>\n",
206
+ " <td>NJ</td>\n",
207
+ " <td>all homes plus multifamily</td>\n",
208
+ " <td>NJ</td>\n",
209
+ " <td>Philadelphia-Camden-Wilmington, PA-NJ-DE-MD</td>\n",
210
+ " <td>NaN</td>\n",
211
+ " <td>NaN</td>\n",
212
+ " <td>2023-09-30</td>\n",
213
+ " <td>2296.188906</td>\n",
214
+ " <td>Camden County</td>\n",
215
+ " <td>2254.213172</td>\n",
216
+ " <td>NaN</td>\n",
217
+ " </tr>\n",
218
+ " <tr>\n",
219
+ " <th>1258737</th>\n",
220
+ " <td>857850</td>\n",
221
+ " <td>713</td>\n",
222
+ " <td>Cherry Hill</td>\n",
223
+ " <td>city</td>\n",
224
+ " <td>NJ</td>\n",
225
+ " <td>all homes plus multifamily</td>\n",
226
+ " <td>NJ</td>\n",
227
+ " <td>Philadelphia-Camden-Wilmington, PA-NJ-DE-MD</td>\n",
228
+ " <td>NaN</td>\n",
229
+ " <td>NaN</td>\n",
230
+ " <td>2023-10-31</td>\n",
231
+ " <td>2292.270938</td>\n",
232
+ " <td>Camden County</td>\n",
233
+ " <td>2261.540446</td>\n",
234
+ " <td>NaN</td>\n",
235
+ " </tr>\n",
236
+ " <tr>\n",
237
+ " <th>1258738</th>\n",
238
+ " <td>857850</td>\n",
239
+ " <td>713</td>\n",
240
+ " <td>Cherry Hill</td>\n",
241
+ " <td>city</td>\n",
242
+ " <td>NJ</td>\n",
243
+ " <td>all homes plus multifamily</td>\n",
244
+ " <td>NJ</td>\n",
245
+ " <td>Philadelphia-Camden-Wilmington, PA-NJ-DE-MD</td>\n",
246
+ " <td>NaN</td>\n",
247
+ " <td>NaN</td>\n",
248
+ " <td>2023-11-30</td>\n",
249
+ " <td>2253.417140</td>\n",
250
+ " <td>Camden County</td>\n",
251
+ " <td>2257.956024</td>\n",
252
+ " <td>NaN</td>\n",
253
+ " </tr>\n",
254
+ " <tr>\n",
255
+ " <th>1258739</th>\n",
256
+ " <td>857850</td>\n",
257
+ " <td>713</td>\n",
258
+ " <td>Cherry Hill</td>\n",
259
+ " <td>city</td>\n",
260
+ " <td>NJ</td>\n",
261
+ " <td>all homes plus multifamily</td>\n",
262
+ " <td>NJ</td>\n",
263
+ " <td>Philadelphia-Camden-Wilmington, PA-NJ-DE-MD</td>\n",
264
+ " <td>NaN</td>\n",
265
+ " <td>NaN</td>\n",
266
+ " <td>2023-12-31</td>\n",
267
+ " <td>2280.830303</td>\n",
268
+ " <td>Camden County</td>\n",
269
+ " <td>2280.830303</td>\n",
270
+ " <td>NaN</td>\n",
271
+ " </tr>\n",
272
+ " </tbody>\n",
273
+ "</table>\n",
274
+ "<p>1258740 rows × 15 columns</p>\n",
275
+ "</div>"
276
+ ],
277
+ "text/plain": [
278
+ " RegionID SizeRank RegionName RegionType StateName \\\n",
279
+ "0 66 146 Ada County county ID \n",
280
+ "1 66 146 Ada County county ID \n",
281
+ "2 66 146 Ada County county ID \n",
282
+ "3 66 146 Ada County county ID \n",
283
+ "4 66 146 Ada County county ID \n",
284
+ "... ... ... ... ... ... \n",
285
+ "1258735 857850 713 Cherry Hill city NJ \n",
286
+ "1258736 857850 713 Cherry Hill city NJ \n",
287
+ "1258737 857850 713 Cherry Hill city NJ \n",
288
+ "1258738 857850 713 Cherry Hill city NJ \n",
289
+ "1258739 857850 713 Cherry Hill city NJ \n",
290
+ "\n",
291
+ " Home Type State \\\n",
292
+ "0 all homes plus multifamily 16.0 \n",
293
+ "1 all homes plus multifamily 16.0 \n",
294
+ "2 all homes plus multifamily 16.0 \n",
295
+ "3 all homes plus multifamily 16.0 \n",
296
+ "4 all homes plus multifamily 16.0 \n",
297
+ "... ... ... \n",
298
+ "1258735 all homes plus multifamily NJ \n",
299
+ "1258736 all homes plus multifamily NJ \n",
300
+ "1258737 all homes plus multifamily NJ \n",
301
+ "1258738 all homes plus multifamily NJ \n",
302
+ "1258739 all homes plus multifamily NJ \n",
303
+ "\n",
304
+ " Metro StateCodeFIPS \\\n",
305
+ "0 Boise City, ID 16.0 \n",
306
+ "1 Boise City, ID 16.0 \n",
307
+ "2 Boise City, ID 16.0 \n",
308
+ "3 Boise City, ID 16.0 \n",
309
+ "4 Boise City, ID 16.0 \n",
310
+ "... ... ... \n",
311
+ "1258735 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD NaN \n",
312
+ "1258736 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD NaN \n",
313
+ "1258737 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD NaN \n",
314
+ "1258738 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD NaN \n",
315
+ "1258739 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD NaN \n",
316
+ "\n",
317
+ " MunicipalCodeFIPS Date Rent (Smoothed) CountyName \\\n",
318
+ "0 1.0 2015-01-31 927.493763 NaN \n",
319
+ "1 1.0 2015-02-28 931.690623 NaN \n",
320
+ "2 1.0 2015-03-31 932.568601 NaN \n",
321
+ "3 1.0 2015-04-30 933.148134 NaN \n",
322
+ "4 1.0 2015-05-31 941.045724 NaN \n",
323
+ "... ... ... ... ... \n",
324
+ "1258735 NaN 2023-08-31 2291.604800 Camden County \n",
325
+ "1258736 NaN 2023-09-30 2296.188906 Camden County \n",
326
+ "1258737 NaN 2023-10-31 2292.270938 Camden County \n",
327
+ "1258738 NaN 2023-11-30 2253.417140 Camden County \n",
328
+ "1258739 NaN 2023-12-31 2280.830303 Camden County \n",
329
+ "\n",
330
+ " Rent (Smoothed) (Seasonally Adjusted) City \n",
331
+ "0 927.493763 NaN \n",
332
+ "1 931.690623 NaN \n",
333
+ "2 932.568601 NaN \n",
334
+ "3 933.148134 NaN \n",
335
+ "4 941.045724 NaN \n",
336
+ "... ... ... \n",
337
+ "1258735 2244.961006 NaN \n",
338
+ "1258736 2254.213172 NaN \n",
339
+ "1258737 2261.540446 NaN \n",
340
+ "1258738 2257.956024 NaN \n",
341
+ "1258739 2280.830303 NaN \n",
342
+ "\n",
343
+ "[1258740 rows x 15 columns]"
344
+ ]
345
+ },
346
+ "execution_count": 3,
347
+ "metadata": {},
348
+ "output_type": "execute_result"
349
+ }
350
+ ],
351
  "source": [
352
  "data_frames = []\n",
353
  "\n",
 
1090
  },
1091
  {
1092
  "cell_type": "code",
1093
+ "execution_count": 6,
1094
  "metadata": {},
1095
  "outputs": [],
1096
  "source": [