initial commit

.gitignore

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+*.zip
+.ipynb_checkpoints
+

template.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# AirBnB Dataset\n",
+    "\n",
+    "Below are a few things to get you started with the AirBnB dataset for AIHack! For more information on the table schemata, see [here](https://docs.google.com/document/d/1ezVFDe506zK1CuuNhNmzHEj_iNnL67hDrFzSap9V7S0/edit?usp=sharing)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Download data - please only run this once\n",
+    "import urllib.request\n",
+    "import zipfile\n",
+    "import os\n",
+    "\n",
+    "print(\"Starting download ...\")\n",
+    "#with urllib.request.urlopen(\"https://tilman.xyz\") as src:\n",
+    "#    with open(\"tmp_airbnb_data.zip\", \"wb\") as dest:\n",
+    "#        dest.write(src.read())\n",
+    "print(\"Unpacking archive ...\")\n",
+    "os.makedirs(\"airbnb_data\", exist_ok=True)\n",
+    "with zipfile.ZipFile(\"tmp_airbnb_data.zip\", compression=zipfile.ZIP_DEFLATED) as zip_f:\n",
+    "    zip_f.extractall(\"airbnb_data\")\n",
+    "print(\"Done!\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install pandas matplotlib pytorch"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load the data (will take a short while)\n",
+    "calendar = pd.read_csv(\"airbnb_data/calendar.csv\")\n",
+    "demographics = pd.read_csv(\"airbnb_data/demographics.csv\")\n",
+    "econ_state = pd.read_csv(\"airbnb_data/econ_state.csv\")\n",
+    "listings = pd.read_csv(\"airbnb_data/listings.csv\")\n",
+    "real_estate = pd.read_csv(\"airbnb_data/real_estate.csv\")\n",
+    "venues = pd.read_csv(\"airbnb_data/venues.csv\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Your Hack ..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "calendar.loc[calendar[\"listing_id\"] == 2515].plot(x=\"date\", y=\"price\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# todo: make something awesome ..."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}