data-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0426c49f",
   "metadata": {},
   "source": [
    "# Sample Data Analysis Project\n",
    "## Analyzing NYC DEP Green Infrastructure Data\n",
    "Author: Mark Bauer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ea8b1c86",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# import libraries\n",
    "import duckdb\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "from mpl_toolkits.axes_grid1 import make_axes_locatable\n",
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "629b2dcf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python implementation: CPython\n",
      "Python version       : 3.11.0\n",
      "IPython version      : 8.6.0\n",
      "\n",
      "duckdb: 1.0.0\n",
      "pandas: 1.5.1\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# reproducibility\n",
    "%reload_ext watermark\n",
    "%watermark -v -p duckdb,pandas"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "46590a91",
   "metadata": {},
   "source": [
    "# NYC DEP Green Infrastructure Data\n",
    "Dataset on NYC Open Data: https://data.cityofnewyork.us/Environment/DEP-Green-Infrastructure/spjh-pz7h.\n",
    "\n",
    "About the dataset:\n",
    ">This dataset contains the locations and detailed information of green infrastructure practices in NYC neighborhoods built primarily through NYC Green Infrastructure Program initiatives. Green infrastructure (GI) collects stormwater from streets, sidewalks, and other hard surfaces before it can enter the sewer system or cause local flooding. The GI practice data contained in this dataset includes the location, program area, status, and type of GI. \n",
    ">\n",
    ">The DEP_GI_Assets_Public_noPP point layer can be symbolized by program area using the Program Areas field: Right of Way (ROW) projects, which are primarily funded by DEP and implemented within City streets and sidewalks; Public Onsite projects, which are primarily funded by DEP and implemented within publicly owned property, such as schools, parks, and public housing; Incentivized projects, which are implemented on private property through incentives provided by DEP; External projects, which are not funded by DEP and may be implemented in the ROW or within public or private property.  \n",
    ">\n",
    ">The Porous Permeable Pavement polygon layer contains constructed porous permeable pavement practices only, which fall under the ROW program area category. The three ROW Porous Permeable Pavement asset types in this shapefile are Porous Concrete, Permeable Pavement, and Porous Asphalt."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d32a2553",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌──────────────────────┬──────────┬─────────┬────────────┬───┬────────────┬────────────────────┬─────────────┐\n",
       "│       the_geom       │ Asset_ID │  GI_ID  │ DEP_Contra │ … │ Construc_1 │     Program_Ar     │ Status_Gro  │\n",
       "│       varchar        │  int64   │ varchar │  varchar   │   │  varchar   │      varchar       │   varchar   │\n",
       "├──────────────────────┼──────────┼─────────┼────────────┼───┼────────────┼────────────────────┼─────────────┤\n",
       "│ POINT (-73.8116762…  │    94002 │ 1A      │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "│ POINT (-73.8122857…  │    94012 │ GS6A    │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "│ POINT (-73.8122344…  │    94017 │ GS8C    │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "│ POINT (-73.8120597…  │    94019 │ GS8E    │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "│ POINT (-73.8131019…  │    94021 │ 10A     │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "│ POINT (-73.8126597…  │    94031 │ 16A     │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "│ POINT (-73.8125273…  │    94033 │ 16C     │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "│ POINT (-73.8124855…  │    94034 │ 16D     │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "│ POINT (-73.8123016…  │    94036 │ GS18A   │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "│ POINT (-73.8130240…  │    94037 │ 19A     │ GQJA03-02  │ … │ Package-1  │ Right of Way (ROW) │ Constructed │\n",
       "├──────────────────────┴──────────┴─────────┴────────────┴───┴────────────┴────────────────────┴─────────────┤\n",
       "│ 10 rows                                                                               30 columns (7 shown) │\n",
       "└────────────────────────────────────────────────────────────────────────────────────────────────────────────┘"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reading in a CSV by opening a connection and copying data to a table\n",
    "con = duckdb.connect()\n",
    "\n",
    "# create table green_infrastructure\n",
    "con.execute(\"\"\"\n",
    "    CREATE TABLE green_infrastructure\n",
    "    AS FROM read_csv('data/green_infrastructure.csv')\n",
    "\"\"\")\n",
    "\n",
    "# sanity check against new table\n",
    "con.sql(\"\"\"\n",
    "    SELECT *\n",
    "    FROM green_infrastructure\n",
    "    LIMIT 10\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e06c43ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>green_infrastructure</td>\n",
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       "                   name\n",
       "0  green_infrastructure"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list tables\n",
    "con.sql(\"SHOW TABLES\").df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "24d4a453",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>database</th>\n",
       "      <th>schema</th>\n",
       "      <th>name</th>\n",
       "      <th>column_names</th>\n",
       "      <th>column_types</th>\n",
       "      <th>temporary</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>memory</td>\n",
       "      <td>main</td>\n",
       "      <td>green_infrastructure</td>\n",
       "      <td>[the_geom, Asset_ID, GI_ID, DEP_Contra, DEP_Co...</td>\n",
       "      <td>[VARCHAR, BIGINT, VARCHAR, VARCHAR, VARCHAR, V...</td>\n",
       "      <td>False</td>\n",
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      "text/plain": [
       "  database schema                  name  \\\n",
       "0   memory   main  green_infrastructure   \n",
       "\n",
       "                                        column_names  \\\n",
       "0  [the_geom, Asset_ID, GI_ID, DEP_Contra, DEP_Co...   \n",
       "\n",
       "                                        column_types  temporary  \n",
       "0  [VARCHAR, BIGINT, VARCHAR, VARCHAR, VARCHAR, V...      False  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# list tables and schemas\n",
    "con.sql(\"SHOW ALL TABLES\").df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "be2665c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌────────────┐\n",
       "│ count_rows │\n",
       "│   int64    │\n",
       "├────────────┤\n",
       "│      14346 │\n",
       "└────────────┘"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count rows\n",
    "con.sql(\"\"\"\n",
    "    SELECT COUNT(Asset_ID) AS count_rows\n",
    "    FROM green_infrastructure\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3cf4a4fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌─────────────┬─────────────┬─────────┬─────────┬─────────┬─────────┐\n",
      "│ column_name │ column_type │  null   │   key   │ default │  extra  │\n",
      "│   varchar   │   varchar   │ varchar │ varchar │ varchar │ varchar │\n",
      "├─────────────┼─────────────┼─────────┼─────────┼─────────┼─────────┤\n",
      "│ the_geom    │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Asset_ID    │ BIGINT      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ GI_ID       │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ DEP_Contra  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ DEP_Cont_1  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Row_Onsite  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Project_Na  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Asset_Type  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Status      │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Asset_X_Co  │ DOUBLE      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Asset_Y_Co  │ DOUBLE      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Borough     │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Sewer_Type  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Outfall     │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ NYC_Waters  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ BBL         │ BIGINT      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Secondary_  │ BIGINT      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Community_  │ BIGINT      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ City_Counc  │ BIGINT      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Assembly_D  │ BIGINT      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Asset_Leng  │ DOUBLE      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Asset_Widt  │ DOUBLE      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Asset_Area  │ DOUBLE      │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ GI_Feature  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Tree_Latin  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Tree_Commo  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Constructi  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Construc_1  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Program_Ar  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "│ Status_Gro  │ VARCHAR     │ YES     │ NULL    │ NULL    │ NULL    │\n",
      "├─────────────┴─────────────┴─────────┴─────────┴─────────┴─────────┤\n",
      "│ 30 rows                                                 6 columns │\n",
      "└───────────────────────────────────────────────────────────────────┘\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# inspect column information\n",
    "sql = \"\"\"\n",
    "    DESCRIBE SELECT *\n",
    "    FROM green_infrastructure\n",
    "\"\"\"\n",
    "\n",
    "con.sql(sql).show(max_rows=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7f30fa6b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌─────────────┬─────────────┬──────────────────────┬───┬────────────────────┬───────┬─────────────────┐\n",
      "│ column_name │ column_type │         min          │ … │        q75         │ count │ null_percentage │\n",
      "│   varchar   │   varchar   │       varchar        │   │      varchar       │ int64 │  decimal(9,2)   │\n",
      "├─────────────┼─────────────┼──────────────────────┼───┼────────────────────┼───────┼─────────────────┤\n",
      "│ the_geom    │ VARCHAR     │ POINT (-73.7267005…  │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ Asset_ID    │ BIGINT      │ 94002                │ … │ 182607             │ 14346 │            0.00 │\n",
      "│ GI_ID       │ VARCHAR     │ 0005A                │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ DEP_Contra  │ VARCHAR     │ B008-111M            │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ DEP_Cont_1  │ VARCHAR     │ 1                    │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ Row_Onsite  │ VARCHAR     │ Onsite               │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ Project_Na  │ VARCHAR     │ 1 Dekalb Avenue      │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ Asset_Type  │ VARCHAR     │ Blue Roof            │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ Status      │ VARCHAR     │ 100% Design Accepted │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ Asset_X_Co  │ DOUBLE      │ 913617.59773         │ … │ 1031686.6875302786 │ 14346 │            0.00 │\n",
      "│ Asset_Y_Co  │ DOUBLE      │ 122392.15405         │ … │ 209818.76199630793 │ 14346 │            0.00 │\n",
      "│ Borough     │ VARCHAR     │ Bronx                │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ Sewer_Type  │ VARCHAR     │ Combined             │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ Outfall     │ VARCHAR     │ 1                    │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ NYC_Waters  │ VARCHAR     │ Alley Creek          │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ BBL         │ BIGINT      │ 1000000000           │ … │ 4059246256         │ 14346 │            0.00 │\n",
      "│ Secondary_  │ BIGINT      │ 0                    │ … │ 0                  │ 14346 │            0.00 │\n",
      "│ Community_  │ BIGINT      │ 0                    │ … │ 408                │ 14346 │            0.00 │\n",
      "│ City_Counc  │ BIGINT      │ 0                    │ … │ 40                 │ 14346 │            0.00 │\n",
      "│ Assembly_D  │ BIGINT      │ 0                    │ … │ 56                 │ 14346 │            0.00 │\n",
      "│ Asset_Leng  │ DOUBLE      │ 0.0                  │ … │ 18.737664707977203 │ 14346 │            0.00 │\n",
      "│ Asset_Widt  │ DOUBLE      │ 0.0                  │ … │ 5.0                │ 14346 │            0.00 │\n",
      "│ Asset_Area  │ DOUBLE      │ 1.0                  │ … │ 97.57023525246994  │ 14346 │            0.00 │\n",
      "│ GI_Feature  │ VARCHAR     │ Standard             │ … │ NULL               │ 14346 │           15.70 │\n",
      "│ Tree_Latin  │ VARCHAR     │ Acer campestre       │ … │ NULL               │ 14346 │           13.11 │\n",
      "│ Tree_Commo  │ VARCHAR     │ Acer rubrum 'Redpo…  │ … │ NULL               │ 14346 │           13.11 │\n",
      "│ Constructi  │ VARCHAR     │ 2342                 │ … │ NULL               │ 14346 │            9.70 │\n",
      "│ Construc_1  │ VARCHAR     │ 1                    │ … │ NULL               │ 14346 │            9.70 │\n",
      "│ Program_Ar  │ VARCHAR     │ External             │ … │ NULL               │ 14346 │            0.00 │\n",
      "│ Status_Gro  │ VARCHAR     │ Constructed          │ … │ NULL               │ 14346 │            0.00 │\n",
      "├─────────────┴─────────────┴──────────────────────┴───┴────────────────────┴───────┴─────────────────┤\n",
      "│ 30 rows                                                                        12 columns (6 shown) │\n",
      "└─────────────────────────────────────────────────────────────────────────────────────────────────────┘\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# descriptive statistics of columns\n",
    "sql = \"\"\"\n",
    "    SUMMARIZE SELECT *\n",
    "    FROM green_infrastructure\n",
    "\"\"\"\n",
    "\n",
    "con.sql(sql).show(max_rows=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2fab50b4",
   "metadata": {},
   "outputs": [
    {
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       "      <th>min</th>\n",
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       "      <th>avg</th>\n",
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       "      <th>q25</th>\n",
       "      <th>q50</th>\n",
       "      <th>q75</th>\n",
       "      <th>count</th>\n",
       "      <th>null_percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>the_geom</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>POINT (-73.72670059525332 40.68553896404729)</td>\n",
       "      <td>POINT (-74.25397969155536 40.50233194249483)</td>\n",
       "      <td>14362</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Asset_ID</td>\n",
       "      <td>BIGINT</td>\n",
       "      <td>94002</td>\n",
       "      <td>190896</td>\n",
       "      <td>14202</td>\n",
       "      <td>152289.4963055904</td>\n",
       "      <td>30476.34806145504</td>\n",
       "      <td>123874</td>\n",
       "      <td>157262</td>\n",
       "      <td>182607</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>GI_ID</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>0005A</td>\n",
       "      <td>sgs594</td>\n",
       "      <td>13346</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>DEP_Contra</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>B008-111M</td>\n",
       "      <td>ZTESTZ</td>\n",
       "      <td>542</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>DEP_Cont_1</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>1</td>\n",
       "      <td>PI</td>\n",
       "      <td>10</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Row_Onsite</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>Onsite</td>\n",
       "      <td>ROW</td>\n",
       "      <td>2</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Project_Na</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>1 Dekalb Avenue</td>\n",
       "      <td>test</td>\n",
       "      <td>575</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Asset_Type</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>Blue Roof</td>\n",
       "      <td>Synthetic Turf Field Storage Layer</td>\n",
       "      <td>30</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Status</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>100% Design Accepted</td>\n",
       "      <td>In Construction</td>\n",
       "      <td>8</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Asset_X_Co</td>\n",
       "      <td>DOUBLE</td>\n",
       "      <td>913617.59773</td>\n",
       "      <td>1060047.0</td>\n",
       "      <td>14383</td>\n",
       "      <td>1018561.2245338603</td>\n",
       "      <td>15748.986955729739</td>\n",
       "      <td>1007143.6092308176</td>\n",
       "      <td>1017926.0456971781</td>\n",
       "      <td>1031686.6875302786</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Asset_Y_Co</td>\n",
       "      <td>DOUBLE</td>\n",
       "      <td>122392.15405</td>\n",
       "      <td>270960.59367</td>\n",
       "      <td>14147</td>\n",
       "      <td>197589.5338454735</td>\n",
       "      <td>21140.223588929202</td>\n",
       "      <td>183430.41802651907</td>\n",
       "      <td>191163.21848816425</td>\n",
       "      <td>209818.76199630793</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Borough</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>5</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Sewer_Type</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>Combined</td>\n",
       "      <td>Separate</td>\n",
       "      <td>5</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Outfall</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>1</td>\n",
       "      <td>WIM-336</td>\n",
       "      <td>199</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>NYC_Waters</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>Alley Creek</td>\n",
       "      <td>Westchester Creek</td>\n",
       "      <td>11</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>BBL</td>\n",
       "      <td>BIGINT</td>\n",
       "      <td>1000000000</td>\n",
       "      <td>5078570090</td>\n",
       "      <td>10162</td>\n",
       "      <td>3449863313.2489195</td>\n",
       "      <td>710069660.769782</td>\n",
       "      <td>3037332879</td>\n",
       "      <td>3471650170</td>\n",
       "      <td>4059246256</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Secondary_</td>\n",
       "      <td>BIGINT</td>\n",
       "      <td>0</td>\n",
       "      <td>4132460003</td>\n",
       "      <td>1613</td>\n",
       "      <td>407975198.3687439</td>\n",
       "      <td>1115080835.2402992</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Community_</td>\n",
       "      <td>BIGINT</td>\n",
       "      <td>0</td>\n",
       "      <td>595</td>\n",
       "      <td>70</td>\n",
       "      <td>348.6211487522654</td>\n",
       "      <td>69.78082899370227</td>\n",
       "      <td>305</td>\n",
       "      <td>350</td>\n",
       "      <td>408</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>City_Counc</td>\n",
       "      <td>BIGINT</td>\n",
       "      <td>0</td>\n",
       "      <td>413</td>\n",
       "      <td>54</td>\n",
       "      <td>30.735814861285377</td>\n",
       "      <td>12.014777523330105</td>\n",
       "      <td>24</td>\n",
       "      <td>31</td>\n",
       "      <td>40</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Assembly_D</td>\n",
       "      <td>BIGINT</td>\n",
       "      <td>0</td>\n",
       "      <td>87</td>\n",
       "      <td>67</td>\n",
       "      <td>43.00913146521678</td>\n",
       "      <td>18.294987673743794</td>\n",
       "      <td>29</td>\n",
       "      <td>40</td>\n",
       "      <td>56</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Asset_Leng</td>\n",
       "      <td>DOUBLE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2110.0</td>\n",
       "      <td>354</td>\n",
       "      <td>19.904144012268233</td>\n",
       "      <td>55.02109722417139</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>18.737664707977203</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Asset_Widt</td>\n",
       "      <td>DOUBLE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>180</td>\n",
       "      <td>4.888799665411963</td>\n",
       "      <td>5.588872247882706</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.500818181818182</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Asset_Area</td>\n",
       "      <td>DOUBLE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>435000.0</td>\n",
       "      <td>1257</td>\n",
       "      <td>471.68455039732345</td>\n",
       "      <td>5839.1771255425065</td>\n",
       "      <td>51.25460482081967</td>\n",
       "      <td>65.1293739360696</td>\n",
       "      <td>97.57023525246994</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>GI_Feature</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Type DA</td>\n",
       "      <td>8</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>15.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Tree_Latin</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>Acer campestre</td>\n",
       "      <td>Zelkova serrata 'Wireless'</td>\n",
       "      <td>143</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>13.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Tree_Commo</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>Acer rubrum 'Redpointe'</td>\n",
       "      <td>Yoshino Cherry</td>\n",
       "      <td>142</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>13.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Constructi</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>2342</td>\n",
       "      <td>OGI-DESIGN-2-GQBB06-03-01</td>\n",
       "      <td>79</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>9.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Construc_1</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>1</td>\n",
       "      <td>Work-Order-4</td>\n",
       "      <td>27</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>9.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Program_Ar</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>External</td>\n",
       "      <td>Right of Way (ROW)</td>\n",
       "      <td>4</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Status_Gro</td>\n",
       "      <td>VARCHAR</td>\n",
       "      <td>Constructed</td>\n",
       "      <td>In Construction</td>\n",
       "      <td>3</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   column_name column_type                                           min  \\\n",
       "0     the_geom     VARCHAR  POINT (-73.72670059525332 40.68553896404729)   \n",
       "1     Asset_ID      BIGINT                                         94002   \n",
       "2        GI_ID     VARCHAR                                         0005A   \n",
       "3   DEP_Contra     VARCHAR                                     B008-111M   \n",
       "4   DEP_Cont_1     VARCHAR                                             1   \n",
       "5   Row_Onsite     VARCHAR                                        Onsite   \n",
       "6   Project_Na     VARCHAR                               1 Dekalb Avenue   \n",
       "7   Asset_Type     VARCHAR                                     Blue Roof   \n",
       "8       Status     VARCHAR                          100% Design Accepted   \n",
       "9   Asset_X_Co      DOUBLE                                  913617.59773   \n",
       "10  Asset_Y_Co      DOUBLE                                  122392.15405   \n",
       "11     Borough     VARCHAR                                         Bronx   \n",
       "12  Sewer_Type     VARCHAR                                      Combined   \n",
       "13     Outfall     VARCHAR                                             1   \n",
       "14  NYC_Waters     VARCHAR                                   Alley Creek   \n",
       "15         BBL      BIGINT                                    1000000000   \n",
       "16  Secondary_      BIGINT                                             0   \n",
       "17  Community_      BIGINT                                             0   \n",
       "18  City_Counc      BIGINT                                             0   \n",
       "19  Assembly_D      BIGINT                                             0   \n",
       "20  Asset_Leng      DOUBLE                                           0.0   \n",
       "21  Asset_Widt      DOUBLE                                           0.0   \n",
       "22  Asset_Area      DOUBLE                                           1.0   \n",
       "23  GI_Feature     VARCHAR                                      Standard   \n",
       "24  Tree_Latin     VARCHAR                                Acer campestre   \n",
       "25  Tree_Commo     VARCHAR                       Acer rubrum 'Redpointe'   \n",
       "26  Constructi     VARCHAR                                          2342   \n",
       "27  Construc_1     VARCHAR                                             1   \n",
       "28  Program_Ar     VARCHAR                                      External   \n",
       "29  Status_Gro     VARCHAR                                   Constructed   \n",
       "\n",
       "                                             max  approx_unique  \\\n",
       "0   POINT (-74.25397969155536 40.50233194249483)          14362   \n",
       "1                                         190896          14202   \n",
       "2                                         sgs594          13346   \n",
       "3                                         ZTESTZ            542   \n",
       "4                                             PI             10   \n",
       "5                                            ROW              2   \n",
       "6                                           test            575   \n",
       "7             Synthetic Turf Field Storage Layer             30   \n",
       "8                                In Construction              8   \n",
       "9                                      1060047.0          14383   \n",
       "10                                  270960.59367          14147   \n",
       "11                                 Staten Island              5   \n",
       "12                                      Separate              5   \n",
       "13                                       WIM-336            199   \n",
       "14                             Westchester Creek             11   \n",
       "15                                    5078570090          10162   \n",
       "16                                    4132460003           1613   \n",
       "17                                           595             70   \n",
       "18                                           413             54   \n",
       "19                                            87             67   \n",
       "20                                        2110.0            354   \n",
       "21                                         296.0            180   \n",
       "22                                      435000.0           1257   \n",
       "23                                       Type DA              8   \n",
       "24                    Zelkova serrata 'Wireless'            143   \n",
       "25                                Yoshino Cherry            142   \n",
       "26                     OGI-DESIGN-2-GQBB06-03-01             79   \n",
       "27                                  Work-Order-4             27   \n",
       "28                            Right of Way (ROW)              4   \n",
       "29                               In Construction              3   \n",
       "\n",
       "                   avg                 std                 q25  \\\n",
       "0                 None                None                None   \n",
       "1    152289.4963055904   30476.34806145504              123874   \n",
       "2                 None                None                None   \n",
       "3                 None                None                None   \n",
       "4                 None                None                None   \n",
       "5                 None                None                None   \n",
       "6                 None                None                None   \n",
       "7                 None                None                None   \n",
       "8                 None                None                None   \n",
       "9   1018561.2245338603  15748.986955729739  1007143.6092308176   \n",
       "10   197589.5338454735  21140.223588929202  183430.41802651907   \n",
       "11                None                None                None   \n",
       "12                None                None                None   \n",
       "13                None                None                None   \n",
       "14                None                None                None   \n",
       "15  3449863313.2489195    710069660.769782          3037332879   \n",
       "16   407975198.3687439  1115080835.2402992                   0   \n",
       "17   348.6211487522654   69.78082899370227                 305   \n",
       "18  30.735814861285377  12.014777523330105                  24   \n",
       "19   43.00913146521678  18.294987673743794                  29   \n",
       "20  19.904144012268233   55.02109722417139                10.0   \n",
       "21   4.888799665411963   5.588872247882706                 4.0   \n",
       "22  471.68455039732345  5839.1771255425065   51.25460482081967   \n",
       "23                None                None                None   \n",
       "24                None                None                None   \n",
       "25                None                None                None   \n",
       "26                None                None                None   \n",
       "27                None                None                None   \n",
       "28                None                None                None   \n",
       "29                None                None                None   \n",
       "\n",
       "                   q50                 q75  count  null_percentage  \n",
       "0                 None                None  14346             0.00  \n",
       "1               157262              182607  14346             0.00  \n",
       "2                 None                None  14346             0.00  \n",
       "3                 None                None  14346             0.00  \n",
       "4                 None                None  14346             0.00  \n",
       "5                 None                None  14346             0.00  \n",
       "6                 None                None  14346             0.00  \n",
       "7                 None                None  14346             0.00  \n",
       "8                 None                None  14346             0.00  \n",
       "9   1017926.0456971781  1031686.6875302786  14346             0.00  \n",
       "10  191163.21848816425  209818.76199630793  14346             0.00  \n",
       "11                None                None  14346             0.00  \n",
       "12                None                None  14346             0.00  \n",
       "13                None                None  14346             0.00  \n",
       "14                None                None  14346             0.00  \n",
       "15          3471650170          4059246256  14346             0.00  \n",
       "16                   0                   0  14346             0.00  \n",
       "17                 350                 408  14346             0.00  \n",
       "18                  31                  40  14346             0.00  \n",
       "19                  40                  56  14346             0.00  \n",
       "20                13.0  18.737664707977203  14346             0.00  \n",
       "21   4.500818181818182                 5.0  14346             0.00  \n",
       "22    65.1293739360696   97.57023525246994  14346             0.00  \n",
       "23                None                None  14346            15.70  \n",
       "24                None                None  14346            13.11  \n",
       "25                None                None  14346            13.11  \n",
       "26                None                None  14346             9.70  \n",
       "27                None                None  14346             9.70  \n",
       "28                None                None  14346             0.00  \n",
       "29                None                None  14346             0.00  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# push to dataframe for readability\n",
    "con.sql(sql).df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bcd572c2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌─────────────┬─────────────┬─────────────────┐\n",
      "│ column_name │ column_type │ null_percentage │\n",
      "│   varchar   │   varchar   │  decimal(9,2)   │\n",
      "├─────────────┼─────────────┼─────────────────┤\n",
      "│ GI_Feature  │ VARCHAR     │           15.70 │\n",
      "│ Tree_Latin  │ VARCHAR     │           13.11 │\n",
      "│ Tree_Commo  │ VARCHAR     │           13.11 │\n",
      "│ Constructi  │ VARCHAR     │            9.70 │\n",
      "│ Construc_1  │ VARCHAR     │            9.70 │\n",
      "│ the_geom    │ VARCHAR     │            0.00 │\n",
      "│ Asset_ID    │ BIGINT      │            0.00 │\n",
      "│ GI_ID       │ VARCHAR     │            0.00 │\n",
      "│ DEP_Contra  │ VARCHAR     │            0.00 │\n",
      "│ DEP_Cont_1  │ VARCHAR     │            0.00 │\n",
      "│ Row_Onsite  │ VARCHAR     │            0.00 │\n",
      "│ Project_Na  │ VARCHAR     │            0.00 │\n",
      "│ Asset_Type  │ VARCHAR     │            0.00 │\n",
      "│ Status      │ VARCHAR     │            0.00 │\n",
      "│ Asset_X_Co  │ DOUBLE      │            0.00 │\n",
      "│ Asset_Y_Co  │ DOUBLE      │            0.00 │\n",
      "│ Borough     │ VARCHAR     │            0.00 │\n",
      "│ Sewer_Type  │ VARCHAR     │            0.00 │\n",
      "│ Outfall     │ VARCHAR     │            0.00 │\n",
      "│ NYC_Waters  │ VARCHAR     │            0.00 │\n",
      "│ BBL         │ BIGINT      │            0.00 │\n",
      "│ Secondary_  │ BIGINT      │            0.00 │\n",
      "│ Community_  │ BIGINT      │            0.00 │\n",
      "│ City_Counc  │ BIGINT      │            0.00 │\n",
      "│ Assembly_D  │ BIGINT      │            0.00 │\n",
      "│ Asset_Leng  │ DOUBLE      │            0.00 │\n",
      "│ Asset_Widt  │ DOUBLE      │            0.00 │\n",
      "│ Asset_Area  │ DOUBLE      │            0.00 │\n",
      "│ Program_Ar  │ VARCHAR     │            0.00 │\n",
      "│ Status_Gro  │ VARCHAR     │            0.00 │\n",
      "├─────────────┴─────────────┴─────────────────┤\n",
      "│ 30 rows                           3 columns │\n",
      "└─────────────────────────────────────────────┘\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# inspect count NULL\n",
    "summarize = \"\"\"\n",
    "    SUMMARIZE\n",
    "        SELECT *\n",
    "        FROM green_infrastructure\n",
    "\"\"\"\n",
    "\n",
    "summarize_relation = con.sql(summarize)\n",
    "\n",
    "sql = \"\"\"\n",
    "    SELECT\n",
    "        column_name,\n",
    "        column_type,\n",
    "        null_percentage\n",
    "    FROM summarize_relation\n",
    "    ORDER BY null_percentage DESC\n",
    "\"\"\"\n",
    "\n",
    "con.sql(sql).show(max_rows=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d0d9f921",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>the_geom</th>\n",
       "      <th>Asset_ID</th>\n",
       "      <th>GI_ID</th>\n",
       "      <th>DEP_Contra</th>\n",
       "      <th>DEP_Cont_1</th>\n",
       "      <th>Row_Onsite</th>\n",
       "      <th>Project_Na</th>\n",
       "      <th>Asset_Type</th>\n",
       "      <th>Status</th>\n",
       "      <th>Asset_X_Co</th>\n",
       "      <th>Asset_Y_Co</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Sewer_Type</th>\n",
       "      <th>Outfall</th>\n",
       "      <th>NYC_Waters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>POINT (-73.81167623024226 40.69138622900597)</td>\n",
       "      <td>94002</td>\n",
       "      <td>1A</td>\n",
       "      <td>GQJA03-02</td>\n",
       "      <td>2</td>\n",
       "      <td>ROW</td>\n",
       "      <td>DDC JAM-003 Phase 2</td>\n",
       "      <td>ROWB</td>\n",
       "      <td>Constructed (Full Maintenance)</td>\n",
       "      <td>1.036475e+06</td>\n",
       "      <td>191223.22700</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Combined</td>\n",
       "      <td>JAM-003</td>\n",
       "      <td>Jamaica Bay and Tributaries</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>POINT (-73.81228577606385 40.69238458134393)</td>\n",
       "      <td>94012</td>\n",
       "      <td>GS6A</td>\n",
       "      <td>GQJA03-02</td>\n",
       "      <td>2</td>\n",
       "      <td>ROW</td>\n",
       "      <td>DDC JAM-003 Phase 2</td>\n",
       "      <td>ROWGS</td>\n",
       "      <td>Constructed (Full Maintenance)</td>\n",
       "      <td>1.036305e+06</td>\n",
       "      <td>191586.59230</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Combined</td>\n",
       "      <td>JAM-003</td>\n",
       "      <td>Jamaica Bay and Tributaries</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>POINT (-73.8122344420821 40.69312522070409)</td>\n",
       "      <td>94017</td>\n",
       "      <td>GS8C</td>\n",
       "      <td>GQJA03-02</td>\n",
       "      <td>2</td>\n",
       "      <td>ROW</td>\n",
       "      <td>DDC JAM-003 Phase 2</td>\n",
       "      <td>ROWGS</td>\n",
       "      <td>Constructed (Full Maintenance)</td>\n",
       "      <td>1.036319e+06</td>\n",
       "      <td>191856.45894</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Combined</td>\n",
       "      <td>JAM-003</td>\n",
       "      <td>Jamaica Bay and Tributaries</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POINT (-73.8120597400255 40.6931738947353)</td>\n",
       "      <td>94019</td>\n",
       "      <td>GS8E</td>\n",
       "      <td>GQJA03-02</td>\n",
       "      <td>2</td>\n",
       "      <td>ROW</td>\n",
       "      <td>DDC JAM-003 Phase 2</td>\n",
       "      <td>ROWGS</td>\n",
       "      <td>Constructed (Full Maintenance)</td>\n",
       "      <td>1.036368e+06</td>\n",
       "      <td>191874.29620</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Combined</td>\n",
       "      <td>JAM-003</td>\n",
       "      <td>Jamaica Bay and Tributaries</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POINT (-73.81310191327061 40.69279332424906)</td>\n",
       "      <td>94021</td>\n",
       "      <td>10A</td>\n",
       "      <td>GQJA03-02</td>\n",
       "      <td>2</td>\n",
       "      <td>ROW</td>\n",
       "      <td>DDC JAM-003 Phase 2</td>\n",
       "      <td>ROWB</td>\n",
       "      <td>Constructed (Full Maintenance)</td>\n",
       "      <td>1.036079e+06</td>\n",
       "      <td>191735.02499</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Combined</td>\n",
       "      <td>JAM-003</td>\n",
       "      <td>Jamaica Bay and Tributaries</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       the_geom  Asset_ID GI_ID DEP_Contra  \\\n",
       "0  POINT (-73.81167623024226 40.69138622900597)     94002    1A  GQJA03-02   \n",
       "1  POINT (-73.81228577606385 40.69238458134393)     94012  GS6A  GQJA03-02   \n",
       "2   POINT (-73.8122344420821 40.69312522070409)     94017  GS8C  GQJA03-02   \n",
       "3    POINT (-73.8120597400255 40.6931738947353)     94019  GS8E  GQJA03-02   \n",
       "4  POINT (-73.81310191327061 40.69279332424906)     94021   10A  GQJA03-02   \n",
       "\n",
       "  DEP_Cont_1 Row_Onsite           Project_Na Asset_Type  \\\n",
       "0          2        ROW  DDC JAM-003 Phase 2       ROWB   \n",
       "1          2        ROW  DDC JAM-003 Phase 2      ROWGS   \n",
       "2          2        ROW  DDC JAM-003 Phase 2      ROWGS   \n",
       "3          2        ROW  DDC JAM-003 Phase 2      ROWGS   \n",
       "4          2        ROW  DDC JAM-003 Phase 2       ROWB   \n",
       "\n",
       "                           Status    Asset_X_Co    Asset_Y_Co Borough  \\\n",
       "0  Constructed (Full Maintenance)  1.036475e+06  191223.22700  Queens   \n",
       "1  Constructed (Full Maintenance)  1.036305e+06  191586.59230  Queens   \n",
       "2  Constructed (Full Maintenance)  1.036319e+06  191856.45894  Queens   \n",
       "3  Constructed (Full Maintenance)  1.036368e+06  191874.29620  Queens   \n",
       "4  Constructed (Full Maintenance)  1.036079e+06  191735.02499  Queens   \n",
       "\n",
       "  Sewer_Type  Outfall                   NYC_Waters  \n",
       "0   Combined  JAM-003  Jamaica Bay and Tributaries  \n",
       "1   Combined  JAM-003  Jamaica Bay and Tributaries  \n",
       "2   Combined  JAM-003  Jamaica Bay and Tributaries  \n",
       "3   Combined  JAM-003  Jamaica Bay and Tributaries  \n",
       "4   Combined  JAM-003  Jamaica Bay and Tributaries  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# inspect data\n",
    "sql = \"\"\"\n",
    "    SELECT *\n",
    "    FROM green_infrastructure\n",
    "    LIMIT 5   \n",
    "\"\"\"\n",
    "\n",
    "# examine first 15 columns\n",
    "con.sql(sql).df().iloc[:, :15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "88826ad7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BBL</th>\n",
       "      <th>Secondary_</th>\n",
       "      <th>Community_</th>\n",
       "      <th>City_Counc</th>\n",
       "      <th>Assembly_D</th>\n",
       "      <th>Asset_Leng</th>\n",
       "      <th>Asset_Widt</th>\n",
       "      <th>Asset_Area</th>\n",
       "      <th>GI_Feature</th>\n",
       "      <th>Tree_Latin</th>\n",
       "      <th>Tree_Commo</th>\n",
       "      <th>Constructi</th>\n",
       "      <th>Construc_1</th>\n",
       "      <th>Program_Ar</th>\n",
       "      <th>Status_Gro</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4095890001</td>\n",
       "      <td>0</td>\n",
       "      <td>410</td>\n",
       "      <td>28</td>\n",
       "      <td>32</td>\n",
       "      <td>17.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Chionanthus retusus</td>\n",
       "      <td>Chinese Fringetree</td>\n",
       "      <td>GCJA03-2A</td>\n",
       "      <td>Package-1</td>\n",
       "      <td>Right of Way (ROW)</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4095020030</td>\n",
       "      <td>4095020028</td>\n",
       "      <td>409</td>\n",
       "      <td>28</td>\n",
       "      <td>32</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>45.5</td>\n",
       "      <td>None</td>\n",
       "      <td>No Tree</td>\n",
       "      <td>N/A</td>\n",
       "      <td>GCJA03-2A</td>\n",
       "      <td>Package-1</td>\n",
       "      <td>Right of Way (ROW)</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4095030001</td>\n",
       "      <td>0</td>\n",
       "      <td>409</td>\n",
       "      <td>28</td>\n",
       "      <td>32</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>70.0</td>\n",
       "      <td>None</td>\n",
       "      <td>No Tree</td>\n",
       "      <td>N/A</td>\n",
       "      <td>GCJA03-2A</td>\n",
       "      <td>Package-1</td>\n",
       "      <td>Right of Way (ROW)</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4095030001</td>\n",
       "      <td>0</td>\n",
       "      <td>409</td>\n",
       "      <td>28</td>\n",
       "      <td>32</td>\n",
       "      <td>20.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>70.0</td>\n",
       "      <td>None</td>\n",
       "      <td>No Tree</td>\n",
       "      <td>N/A</td>\n",
       "      <td>GCJA03-2A</td>\n",
       "      <td>Package-1</td>\n",
       "      <td>Right of Way (ROW)</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4095020063</td>\n",
       "      <td>0</td>\n",
       "      <td>409</td>\n",
       "      <td>28</td>\n",
       "      <td>32</td>\n",
       "      <td>13.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>Standard</td>\n",
       "      <td>Quercus palustris</td>\n",
       "      <td>Pin Oak</td>\n",
       "      <td>GCJA03-2A</td>\n",
       "      <td>Package-1</td>\n",
       "      <td>Right of Way (ROW)</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          BBL  Secondary_  Community_  City_Counc  Assembly_D  Asset_Leng  \\\n",
       "0  4095890001           0         410          28          32        17.0   \n",
       "1  4095020030  4095020028         409          28          32        13.0   \n",
       "2  4095030001           0         409          28          32        20.0   \n",
       "3  4095030001           0         409          28          32        20.0   \n",
       "4  4095020063           0         409          28          32        13.0   \n",
       "\n",
       "   Asset_Widt  Asset_Area GI_Feature           Tree_Latin          Tree_Commo  \\\n",
       "0         5.0        85.0   Standard  Chionanthus retusus  Chinese Fringetree   \n",
       "1         3.5        45.5       None              No Tree                 N/A   \n",
       "2         3.5        70.0       None              No Tree                 N/A   \n",
       "3         3.5        70.0       None              No Tree                 N/A   \n",
       "4         4.0        52.0   Standard    Quercus palustris             Pin Oak   \n",
       "\n",
       "  Constructi Construc_1          Program_Ar   Status_Gro  \n",
       "0  GCJA03-2A  Package-1  Right of Way (ROW)  Constructed  \n",
       "1  GCJA03-2A  Package-1  Right of Way (ROW)  Constructed  \n",
       "2  GCJA03-2A  Package-1  Right of Way (ROW)  Constructed  \n",
       "3  GCJA03-2A  Package-1  Right of Way (ROW)  Constructed  \n",
       "4  GCJA03-2A  Package-1  Right of Way (ROW)  Constructed  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# examine last 15 columns\n",
    "con.sql(sql).df().iloc[:, 15:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "62e38171",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌──────────┬───────┐\n",
       "│ Asset_ID │ count │\n",
       "│  int64   │ int64 │\n",
       "├──────────┴───────┤\n",
       "│      0 rows      │\n",
       "└──────────────────┘"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# inspect duplicate asset ids\n",
    "con.sql(\"\"\"\n",
    "    SELECT\n",
    "        Asset_ID,\n",
    "        count(Asset_ID) AS count\n",
    "    FROM green_infrastructure\n",
    "    GROUP BY Asset_ID\n",
    "    HAVING count > 1\n",
    "    ORDER BY count DESC  \n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e17646b",
   "metadata": {},
   "source": [
    "Asset_Type Descriptions:  \n",
    "ROWB: Right of Way Bioswale, ROWEB: Right of Way Enhanced Bioretention, ROWGS: Right of Way Greenstrip, ROWRG: Right of Way Rain Garden, ROWSGS: Right of Way Stormwater Greenstreet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2f1591bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌───────────────────────────────────────────────────────────────────┬───────┐\n",
       "│                            Asset_Type                             │ count │\n",
       "│                              varchar                              │ int64 │\n",
       "├───────────────────────────────────────────────────────────────────┼───────┤\n",
       "│ ROWB                                                              │  7212 │\n",
       "│ ROW Infiltration Basin with Concrete Top                          │  3776 │\n",
       "│ ROW Infiltration Basin with Grass Top                             │   952 │\n",
       "│ ROWGS                                                             │   387 │\n",
       "│ Rain Garden                                                       │   299 │\n",
       "│ ROWRG                                                             │   250 │\n",
       "│ Permeable Pavers                                                  │   207 │\n",
       "│ ROW Porous Concrete                                               │   199 │\n",
       "│ Subsurface Storage                                                │   187 │\n",
       "│ ROW Infiltration Basin with Combination of Concrete and Grass Top │   182 │\n",
       "├───────────────────────────────────────────────────────────────────┴───────┤\n",
       "│ 10 rows                                                         2 columns │\n",
       "└───────────────────────────────────────────────────────────────────────────┘"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# examine Asset_Type distribution\n",
    "con.sql(\"\"\"\n",
    "    SELECT\n",
    "        Asset_Type,\n",
    "        count(Asset_ID) AS count\n",
    "    FROM green_infrastructure\n",
    "    GROUP BY Asset_Type\n",
    "    ORDER BY count DESC \n",
    "    LIMIT 10\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8c2ee1d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌───────────────────┐\n",
       "│ asset_type_unique │\n",
       "│       int64       │\n",
       "├───────────────────┤\n",
       "│                30 │\n",
       "└───────────────────┘"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# examine Asset_Type distinct counts\n",
    "con.sql(\"\"\"\n",
    "    SELECT\n",
    "        COUNT(DISTINCT Asset_Type) AS asset_type_unique\n",
    "    FROM green_infrastructure\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "3736acae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌───────────────┬───────┐\n",
       "│    Borough    │ count │\n",
       "│    varchar    │ int64 │\n",
       "├───────────────┼───────┤\n",
       "│ Queens        │  7077 │\n",
       "│ Brooklyn      │  5997 │\n",
       "│ Bronx         │  1015 │\n",
       "│ Manhattan     │   192 │\n",
       "│ Staten Island │    65 │\n",
       "└───────────────┴───────┘"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Borough\n",
    "con.sql(\"\"\"\n",
    "    SELECT\n",
    "        Borough,\n",
    "        count(Asset_ID) AS count\n",
    "    FROM green_infrastructure\n",
    "    GROUP BY Borough\n",
    "    ORDER BY count DESC  \n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "86bf3fb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌────────────────────┬───────┐\n",
       "│     Sewer_Type     │ count │\n",
       "│      varchar       │ int64 │\n",
       "├────────────────────┼───────┤\n",
       "│ Combined           │ 14002 │\n",
       "│ MS4                │   250 │\n",
       "│ Non-combined       │    89 │\n",
       "│ On-site management │     3 │\n",
       "│ Separate           │     2 │\n",
       "└────────────────────┴───────┘"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Sewer_Type\n",
    "con.sql(\"\"\"\n",
    "    SELECT\n",
    "        Sewer_Type,\n",
    "        count(Asset_ID) AS count\n",
    "    FROM green_infrastructure\n",
    "    GROUP BY Sewer_Type\n",
    "    ORDER BY count DESC  \n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a2c01631",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌─────────────────────────────┬───────┐\n",
       "│         NYC_Waters          │ count │\n",
       "│           varchar           │ int64 │\n",
       "├─────────────────────────────┼───────┤\n",
       "│ Jamaica Bay and Tributaries │  6556 │\n",
       "│ East River / Open Waters    │  2197 │\n",
       "│ Flushing Creek              │  2179 │\n",
       "│ Newtown Creek               │  1580 │\n",
       "│ Flushing Bay                │   791 │\n",
       "│ Bronx River                 │   442 │\n",
       "│ Westchester Creek           │   224 │\n",
       "│ Hutchinson River            │   194 │\n",
       "│ Gowanus Canal               │   124 │\n",
       "│ Coney Island Creek          │    49 │\n",
       "│ Alley Creek                 │    10 │\n",
       "├─────────────────────────────┴───────┤\n",
       "│ 11 rows                   2 columns │\n",
       "└─────────────────────────────────────┘"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# NYC_Waters - The name of the body of water whose watershed contains the asset\n",
    "con.sql(\"\"\"\n",
    "    SELECT\n",
    "        NYC_Waters,\n",
    "        count(Asset_ID) AS count\n",
    "    FROM green_infrastructure\n",
    "    GROUP BY NYC_Waters\n",
    "    ORDER BY count DESC  \n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "61149dcf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌──────────────────────────────┬───────┐\n",
       "│          Tree_Commo          │ count │\n",
       "│           varchar            │ int64 │\n",
       "├──────────────────────────────┼───────┤\n",
       "│ N/A                          │  9098 │\n",
       "│ NULL                         │  1881 │\n",
       "│ Swamp White Oak              │   316 │\n",
       "│ Pin Oak                      │   195 │\n",
       "│ Sweetgum                     │   157 │\n",
       "│ Japanese Zelkova             │   154 │\n",
       "│ Thornless Common Honeylocust │   147 │\n",
       "│ Shadblow Serviceberry        │   108 │\n",
       "│ Sawtooth Oak                 │   102 │\n",
       "│ Ginkgo Tree                  │   100 │\n",
       "├──────────────────────────────┴───────┤\n",
       "│ 10 rows                    2 columns │\n",
       "└──────────────────────────────────────┘"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Tree_Common_Name - Species of tree included in the asset, common name\n",
    "con.sql(\"\"\"\n",
    "    SELECT\n",
    "        Tree_Commo,\n",
    "        count(Asset_ID) AS count\n",
    "    FROM green_infrastructure\n",
    "    GROUP BY Tree_Commo\n",
    "    ORDER BY count DESC  \n",
    "    LIMIT 10\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5a037cdc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌───────────────────────────────────────────┬───────┐\n",
       "│                GI_Feature                 │ count │\n",
       "│                  varchar                  │ int64 │\n",
       "├───────────────────────────────────────────┼───────┤\n",
       "│ Standard                                  │  7325 │\n",
       "│ Type C - SW Chamber                       │  2566 │\n",
       "│ NULL                                      │  2253 │\n",
       "│ Type A - Stone Columns                    │  1944 │\n",
       "│ Type D                                    │   218 │\n",
       "│ Type DA                                   │    19 │\n",
       "│ Type B/C - Stormwater Inlet/SW Chamber    │    12 │\n",
       "│ Type B - Stormwater Inlet                 │     7 │\n",
       "│ Type A/B - Stone Columns/Stormwater Inlet │     2 │\n",
       "└───────────────────────────────────────────┴───────┘"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# GI_Feature - The category of green infrastructure that the asset belongs to\n",
    "con.sql(\"\"\"\n",
    "    SELECT\n",
    "        GI_Feature,\n",
    "        count(Asset_ID) AS count\n",
    "    FROM green_infrastructure\n",
    "    GROUP BY GI_Feature\n",
    "    ORDER BY count DESC  \n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "74bbc11e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>column_name</th>\n",
       "      <th>column_type</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "      <th>approx_unique</th>\n",
       "      <th>avg</th>\n",
       "      <th>std</th>\n",
       "      <th>q25</th>\n",
       "      <th>q50</th>\n",
       "      <th>q75</th>\n",
       "      <th>count</th>\n",
       "      <th>null_percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Asset_Leng</td>\n",
       "      <td>DOUBLE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2110.0</td>\n",
       "      <td>354</td>\n",
       "      <td>19.904144012268233</td>\n",
       "      <td>55.02109722417139</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>18.737664707977203</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Asset_Widt</td>\n",
       "      <td>DOUBLE</td>\n",
       "      <td>0.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>180</td>\n",
       "      <td>4.888799665411963</td>\n",
       "      <td>5.588872247882706</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.500818181818182</td>\n",
       "      <td>5.0</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Asset_Area</td>\n",
       "      <td>DOUBLE</td>\n",
       "      <td>1.0</td>\n",
       "      <td>435000.0</td>\n",
       "      <td>1257</td>\n",
       "      <td>471.68455039732345</td>\n",
       "      <td>5839.1771255425065</td>\n",
       "      <td>51.25460482081967</td>\n",
       "      <td>65.1293739360696</td>\n",
       "      <td>97.57023525246994</td>\n",
       "      <td>14346</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  column_name column_type  min       max  approx_unique                 avg  \\\n",
       "0  Asset_Leng      DOUBLE  0.0    2110.0            354  19.904144012268233   \n",
       "1  Asset_Widt      DOUBLE  0.0     296.0            180   4.888799665411963   \n",
       "2  Asset_Area      DOUBLE  1.0  435000.0           1257  471.68455039732345   \n",
       "\n",
       "                  std                q25                q50  \\\n",
       "0   55.02109722417139               10.0               13.0   \n",
       "1   5.588872247882706                4.0  4.500818181818182   \n",
       "2  5839.1771255425065  51.25460482081967   65.1293739360696   \n",
       "\n",
       "                  q75  count  null_percentage  \n",
       "0  18.737664707977203  14346              0.0  \n",
       "1                 5.0  14346              0.0  \n",
       "2   97.57023525246994  14346              0.0  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# descriptive statistics of project size\n",
    "summarize_relation = con.sql(\"SUMMARIZE SELECT * FROM green_infrastructure\")\n",
    "\n",
    "summarize_df = con.sql(\"\"\"\n",
    "    SELECT *\n",
    "    FROM summarize_relation\n",
    "    WHERE column_name in ('Asset_Leng', 'Asset_Widt', 'Asset_Area')\n",
    "\"\"\").df()\n",
    "\n",
    "summarize_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a650968a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>the_geom</th>\n",
       "      <th>Asset_ID</th>\n",
       "      <th>GI_ID</th>\n",
       "      <th>DEP_Contra</th>\n",
       "      <th>DEP_Cont_1</th>\n",
       "      <th>Row_Onsite</th>\n",
       "      <th>Project_Na</th>\n",
       "      <th>Asset_Type</th>\n",
       "      <th>Status</th>\n",
       "      <th>Asset_X_Co</th>\n",
       "      <th>Asset_Y_Co</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Sewer_Type</th>\n",
       "      <th>Outfall</th>\n",
       "      <th>NYC_Waters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>POINT (-74.00229569924448 40.757951817712886)</td>\n",
       "      <td>138087</td>\n",
       "      <td>JCGR-1</td>\n",
       "      <td>PRIVATE_GR</td>\n",
       "      <td>OA</td>\n",
       "      <td>Onsite</td>\n",
       "      <td>Javits Center Green Roof</td>\n",
       "      <td>Green Roof</td>\n",
       "      <td>Constructed</td>\n",
       "      <td>9.836140e+05</td>\n",
       "      <td>215419.00000</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>Combined</td>\n",
       "      <td>NR-028</td>\n",
       "      <td>East River / Open Waters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>POINT (-74.19545588457119 40.561950486557514)</td>\n",
       "      <td>187241</td>\n",
       "      <td>Freshkills1</td>\n",
       "      <td>RG-12450-506M</td>\n",
       "      <td>1</td>\n",
       "      <td>Onsite</td>\n",
       "      <td>Freshkills Park Owl Hollow Fields Construction</td>\n",
       "      <td>Synthetic Turf Field Storage Layer</td>\n",
       "      <td>Constructed</td>\n",
       "      <td>9.299417e+05</td>\n",
       "      <td>144070.78177</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>MS4</td>\n",
       "      <td>OVERLAND FLOW ER</td>\n",
       "      <td>East River / Open Waters</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>POINT (-73.90532182350593 40.72771532765737)</td>\n",
       "      <td>187205</td>\n",
       "      <td>FrankP1</td>\n",
       "      <td>Q131-115M</td>\n",
       "      <td>1</td>\n",
       "      <td>Onsite</td>\n",
       "      <td>Frank Principe Park Ballfields Reconstruction</td>\n",
       "      <td>Synthetic Turf Field Storage Layer</td>\n",
       "      <td>Constructed</td>\n",
       "      <td>1.010492e+06</td>\n",
       "      <td>204417.05689</td>\n",
       "      <td>Queens</td>\n",
       "      <td>Combined</td>\n",
       "      <td>NCQ-077</td>\n",
       "      <td>Newtown Creek</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>POINT (-74.00553985329056 40.67329044837725)</td>\n",
       "      <td>187266</td>\n",
       "      <td>SWPS21-113-D01</td>\n",
       "      <td>B126-116M</td>\n",
       "      <td>1</td>\n",
       "      <td>Onsite</td>\n",
       "      <td>Red Hook Recreation Area Remediation and Recon...</td>\n",
       "      <td>Synthetic Turf Field Storage Layer</td>\n",
       "      <td>Constructed</td>\n",
       "      <td>9.827133e+05</td>\n",
       "      <td>184574.31997</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Non-combined</td>\n",
       "      <td>RH-503</td>\n",
       "      <td>Gowanus Canal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>POINT (-73.87308060078496 40.67026320022855)</td>\n",
       "      <td>187191</td>\n",
       "      <td>B103-01STa</td>\n",
       "      <td>B103-116M</td>\n",
       "      <td>1</td>\n",
       "      <td>Onsite</td>\n",
       "      <td>Cypress Hills PG - Synthetic Turf Field Constr...</td>\n",
       "      <td>Synthetic Turf Field Storage Layer</td>\n",
       "      <td>Constructed</td>\n",
       "      <td>1.019458e+06</td>\n",
       "      <td>183496.86500</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>Combined</td>\n",
       "      <td>26W-005</td>\n",
       "      <td>Jamaica Bay and Tributaries</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        the_geom  Asset_ID           GI_ID  \\\n",
       "0  POINT (-74.00229569924448 40.757951817712886)    138087          JCGR-1   \n",
       "1  POINT (-74.19545588457119 40.561950486557514)    187241     Freshkills1   \n",
       "2   POINT (-73.90532182350593 40.72771532765737)    187205         FrankP1   \n",
       "3   POINT (-74.00553985329056 40.67329044837725)    187266  SWPS21-113-D01   \n",
       "4   POINT (-73.87308060078496 40.67026320022855)    187191      B103-01STa   \n",
       "\n",
       "      DEP_Contra DEP_Cont_1 Row_Onsite  \\\n",
       "0     PRIVATE_GR         OA     Onsite   \n",
       "1  RG-12450-506M          1     Onsite   \n",
       "2      Q131-115M          1     Onsite   \n",
       "3      B126-116M          1     Onsite   \n",
       "4      B103-116M          1     Onsite   \n",
       "\n",
       "                                          Project_Na  \\\n",
       "0                           Javits Center Green Roof   \n",
       "1     Freshkills Park Owl Hollow Fields Construction   \n",
       "2      Frank Principe Park Ballfields Reconstruction   \n",
       "3  Red Hook Recreation Area Remediation and Recon...   \n",
       "4  Cypress Hills PG - Synthetic Turf Field Constr...   \n",
       "\n",
       "                           Asset_Type       Status    Asset_X_Co  \\\n",
       "0                          Green Roof  Constructed  9.836140e+05   \n",
       "1  Synthetic Turf Field Storage Layer  Constructed  9.299417e+05   \n",
       "2  Synthetic Turf Field Storage Layer  Constructed  1.010492e+06   \n",
       "3  Synthetic Turf Field Storage Layer  Constructed  9.827133e+05   \n",
       "4  Synthetic Turf Field Storage Layer  Constructed  1.019458e+06   \n",
       "\n",
       "     Asset_Y_Co        Borough    Sewer_Type           Outfall  \\\n",
       "0  215419.00000      Manhattan      Combined            NR-028   \n",
       "1  144070.78177  Staten Island           MS4  OVERLAND FLOW ER   \n",
       "2  204417.05689         Queens      Combined           NCQ-077   \n",
       "3  184574.31997       Brooklyn  Non-combined            RH-503   \n",
       "4  183496.86500       Brooklyn      Combined           26W-005   \n",
       "\n",
       "                    NYC_Waters  \n",
       "0     East River / Open Waters  \n",
       "1     East River / Open Waters  \n",
       "2                Newtown Creek  \n",
       "3                Gowanus Canal  \n",
       "4  Jamaica Bay and Tributaries  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# largest five projects - The footprint area of the asset in square feet\n",
    "sql = \"\"\"\n",
    "    SELECT *\n",
    "    FROM green_infrastructure\n",
    "    ORDER BY Asset_Area DESC\n",
    "    LIMIT 5\n",
    "\"\"\"\n",
    "\n",
    "con.sql(sql).df().iloc[:, :15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "09c8b604",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BBL</th>\n",
       "      <th>Secondary_</th>\n",
       "      <th>Community_</th>\n",
       "      <th>City_Counc</th>\n",
       "      <th>Assembly_D</th>\n",
       "      <th>Asset_Leng</th>\n",
       "      <th>Asset_Widt</th>\n",
       "      <th>Asset_Area</th>\n",
       "      <th>GI_Feature</th>\n",
       "      <th>Tree_Latin</th>\n",
       "      <th>Tree_Commo</th>\n",
       "      <th>Constructi</th>\n",
       "      <th>Construc_1</th>\n",
       "      <th>Program_Ar</th>\n",
       "      <th>Status_Gro</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1006800001</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>435000.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>External</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5059650084</td>\n",
       "      <td>0</td>\n",
       "      <td>503</td>\n",
       "      <td>51</td>\n",
       "      <td>62</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>303481.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>External</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4026560086</td>\n",
       "      <td>0</td>\n",
       "      <td>405</td>\n",
       "      <td>30</td>\n",
       "      <td>37</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156052.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>External</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3005820001</td>\n",
       "      <td>0</td>\n",
       "      <td>306</td>\n",
       "      <td>38</td>\n",
       "      <td>51</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>145471.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>External</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3042920161</td>\n",
       "      <td>0</td>\n",
       "      <td>305</td>\n",
       "      <td>42</td>\n",
       "      <td>60</td>\n",
       "      <td>439.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>130383.0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>External</td>\n",
       "      <td>Constructed</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          BBL  Secondary_  Community_  City_Counc  Assembly_D  Asset_Leng  \\\n",
       "0  1006800001           0           0           0           0         0.0   \n",
       "1  5059650084           0         503          51          62         0.0   \n",
       "2  4026560086           0         405          30          37         0.0   \n",
       "3  3005820001           0         306          38          51         0.0   \n",
       "4  3042920161           0         305          42          60       439.0   \n",
       "\n",
       "   Asset_Widt  Asset_Area GI_Feature Tree_Latin Tree_Commo Constructi  \\\n",
       "0         0.0    435000.0       None       None       None       None   \n",
       "1         0.0    303481.0       None       None       None       None   \n",
       "2         0.0    156052.0       None       None       None       None   \n",
       "3         0.0    145471.0       None       None       None       None   \n",
       "4       296.0    130383.0       None       None       None       None   \n",
       "\n",
       "  Construc_1 Program_Ar   Status_Gro  \n",
       "0       None   External  Constructed  \n",
       "1       None   External  Constructed  \n",
       "2       None   External  Constructed  \n",
       "3       None   External  Constructed  \n",
       "4       None   External  Constructed  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# page through remaining columns\n",
    "con.sql(sql).df().iloc[:, 15:]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a114e55",
   "metadata": {},
   "source": [
    "NYC Neighborhood Boundaries: https://www.nyc.gov/site/planning/data-maps/open-data/census-download-metadata.page"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b60062e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# install DuckDB spatial extension\n",
    "con.install_extension(\"spatial\")\n",
    "con.load_extension(\"spatial\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "4b12e536",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "┌──────────┬──────────┬────────────┬─────────┬───┬───────────────┬───────────────┬──────────────────────┐\n",
       "│ BoroCode │ BoroName │ CountyFIPS │ NTA2020 │ … │  Shape_Leng   │  Shape_Area   │         geom         │\n",
       "│  int32   │ varchar  │  varchar   │ varchar │   │    double     │    double     │       geometry       │\n",
       "├──────────┼──────────┼────────────┼─────────┼───┼───────────────┼───────────────┼──────────────────────┤\n",
       "│        3 │ Brooklyn │ 047        │ BK0101  │ … │ 28912.5663222 │ 35321206.6726 │ POLYGON ((1003059.…  │\n",
       "│        3 │ Brooklyn │ 047        │ BK0102  │ … │ 28098.0270184 │ 28854314.2319 │ POLYGON ((994849.0…  │\n",
       "│        3 │ Brooklyn │ 047        │ BK0103  │ … │ 18250.2802623 │ 15208960.6551 │ POLYGON ((998047.2…  │\n",
       "│        3 │ Brooklyn │ 047        │ BK0104  │ … │ 43184.7730868 │  52266211.208 │ POLYGON ((1005302.…  │\n",
       "│        3 │ Brooklyn │ 047        │ BK0201  │ … │ 14312.5048671 │ 9982321.60824 │ POLYGON ((986367.7…  │\n",
       "├──────────┴──────────┴────────────┴─────────┴───┴───────────────┴───────────────┴──────────────────────┤\n",
       "│ 5 rows                                                                           12 columns (7 shown) │\n",
       "└───────────────────────────────────────────────────────────────────────────────────────────────────────┘"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create table neighborhoods\n",
    "con.execute(\"\"\"\n",
    "    CREATE TABLE neighborhoods AS\n",
    "        SELECT *\n",
    "        FROM ST_Read('/vsizip/data/nynta2020_24c.zip/nynta2020_24c')\n",
    "\"\"\")\n",
    "\n",
    "# sanity check new table\n",
    "con.sql(\"\"\"\n",
    "    SELECT *\n",
    "    FROM neighborhoods\n",
    "    LIMIT 5\n",
    "\"\"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "81de1e39",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BoroCode</th>\n",
       "      <th>BoroName</th>\n",
       "      <th>CountyFIPS</th>\n",
       "      <th>NTA2020</th>\n",
       "      <th>NTAName</th>\n",
       "      <th>NTAAbbrev</th>\n",
       "      <th>NTAType</th>\n",
       "      <th>CDTA2020</th>\n",
       "      <th>CDTAName</th>\n",
       "      <th>Shape_Leng</th>\n",
       "      <th>Shape_Area</th>\n",
       "      <th>geom</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0101</td>\n",
       "      <td>Greenpoint</td>\n",
       "      <td>Grnpt</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>28912.566322</td>\n",
       "      <td>3.532121e+07</td>\n",
       "      <td>[2, 4, 0, 0, 0, 0, 0, 0, 239, 215, 114, 73, 93...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0102</td>\n",
       "      <td>Williamsburg</td>\n",
       "      <td>Wllmsbrg</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>28098.027018</td>\n",
       "      <td>2.885431e+07</td>\n",
       "      <td>[2, 4, 0, 0, 0, 0, 0, 0, 186, 81, 114, 73, 212...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   BoroCode  BoroName CountyFIPS NTA2020       NTAName NTAAbbrev NTAType  \\\n",
       "0         3  Brooklyn        047  BK0101    Greenpoint     Grnpt       0   \n",
       "1         3  Brooklyn        047  BK0102  Williamsburg  Wllmsbrg       0   \n",
       "\n",
       "  CDTA2020                                        CDTAName    Shape_Leng  \\\n",
       "0     BK01  BK01 Williamsburg-Greenpoint (CD 1 Equivalent)  28912.566322   \n",
       "1     BK01  BK01 Williamsburg-Greenpoint (CD 1 Equivalent)  28098.027018   \n",
       "\n",
       "     Shape_Area                                               geom  \n",
       "0  3.532121e+07  [2, 4, 0, 0, 0, 0, 0, 0, 239, 215, 114, 73, 93...  \n",
       "1  2.885431e+07  [2, 4, 0, 0, 0, 0, 0, 0, 186, 81, 114, 73, 212...  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# view as dataframe\n",
    "con.sql(\"\"\"\n",
    "    SELECT *\n",
    "    FROM neighborhoods\n",
    "    LIMIT 2\n",
    "\"\"\").df()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e15a4eab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "┌──────────────────────────────────────────────┐\n",
      "│                     geom                     │\n",
      "│                   geometry                   │\n",
      "├──────────────────────────────────────────────┤\n",
      "│ POINT (40.69138622900597 -73.81167623024226) │\n",
      "│ POINT (40.69238458134393 -73.81228577606385) │\n",
      "└──────────────────────────────────────────────┘\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# sanity check against green_infrastructure table, coords need to flip to join on Neighborhood CRS (y,x)\n",
    "con.sql(\"\"\"\n",
    "    SELECT\n",
    "        ST_FlipCoordinates(ST_GeomFromText(green_infrastructure.the_geom)) AS geom\n",
    "    FROM green_infrastructure\n",
    "    LIMIT 2\n",
    "\"\"\").show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "398e0a32",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nta_name_full</th>\n",
       "      <th>count</th>\n",
       "      <th>count_sqmi</th>\n",
       "      <th>total_asset_area</th>\n",
       "      <th>total_asset_area_norm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chelsea-Hudson Yards, Manhattan</td>\n",
       "      <td>10</td>\n",
       "      <td>9.395603</td>\n",
       "      <td>442415.38</td>\n",
       "      <td>0.014910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Freshkills Park (South), Staten Island</td>\n",
       "      <td>3</td>\n",
       "      <td>1.751201</td>\n",
       "      <td>309156.00</td>\n",
       "      <td>0.006473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brownsville, Brooklyn</td>\n",
       "      <td>484</td>\n",
       "      <td>438.295113</td>\n",
       "      <td>234344.96</td>\n",
       "      <td>0.007612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bensonhurst, Brooklyn</td>\n",
       "      <td>168</td>\n",
       "      <td>96.300562</td>\n",
       "      <td>229623.00</td>\n",
       "      <td>0.004721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>East New York-City Line, Brooklyn</td>\n",
       "      <td>260</td>\n",
       "      <td>229.894552</td>\n",
       "      <td>203111.38</td>\n",
       "      <td>0.006442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            nta_name_full  count  count_sqmi  \\\n",
       "0         Chelsea-Hudson Yards, Manhattan     10    9.395603   \n",
       "1  Freshkills Park (South), Staten Island      3    1.751201   \n",
       "2                   Brownsville, Brooklyn    484  438.295113   \n",
       "3                   Bensonhurst, Brooklyn    168   96.300562   \n",
       "4       East New York-City Line, Brooklyn    260  229.894552   \n",
       "\n",
       "   total_asset_area  total_asset_area_norm  \n",
       "0         442415.38               0.014910  \n",
       "1         309156.00               0.006473  \n",
       "2         234344.96               0.007612  \n",
       "3         229623.00               0.004721  \n",
       "4         203111.38               0.006442  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# spatial join green infrastructure projects on neighborhoods\n",
    "spatial_join = con.sql(\"\"\"\n",
    "    SELECT\n",
    "        *,\n",
    "        NTAName || ', ' || BoroName AS nta_name_full\n",
    "    FROM green_infrastructure\n",
    "    JOIN neighborhoods ON ST_Within(\n",
    "        ST_Transform(\n",
    "            ST_FlipCoordinates(ST_GeomFromText(green_infrastructure.the_geom)),\n",
    "            'EPSG:4326',\n",
    "            'EPSG:2263'\n",
    "            ),\n",
    "        neighborhoods.geom\n",
    "    )\n",
    "\"\"\")\n",
    "\n",
    "# group by neighborhood\n",
    "merged_nta = con.sql(\"\"\"\n",
    "    SELECT\n",
    "        NTA2020,\n",
    "        nta_name_full,\n",
    "        COUNT(*) AS count,\n",
    "        ROUND(SUM(Asset_Area), 2) AS total_asset_area\n",
    "    FROM spatial_join\n",
    "    GROUP BY NTA2020, nta_name_full\n",
    "\"\"\")\n",
    "    \n",
    "# normalize values by neighborhood area\n",
    "df = con.sql(\"\"\"\n",
    "    SELECT\n",
    "        nta_name_full,\n",
    "        count,\n",
    "        count / (Shape_Area / 27878400) AS count_sqmi,\n",
    "        total_asset_area,\n",
    "        total_asset_area / Shape_Area AS total_asset_area_norm,\n",
    "    FROM merged_nta\n",
    "    LEFT JOIN neighborhoods USING (NTA2020)\n",
    "    ORDER BY total_asset_area DESC\n",
    "\"\"\").df()\n",
    "\n",
    "# sanity check\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ba291b66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nta_name_full</th>\n",
       "      <th>count</th>\n",
       "      <th>count_sqmi</th>\n",
       "      <th>total_asset_area</th>\n",
       "      <th>total_asset_area_norm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>South Ozone Park, Queens</td>\n",
       "      <td>834</td>\n",
       "      <td>284.109888</td>\n",
       "      <td>51964.50</td>\n",
       "      <td>0.000635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>East Flatbush-Rugby, Brooklyn</td>\n",
       "      <td>681</td>\n",
       "      <td>697.879835</td>\n",
       "      <td>62157.50</td>\n",
       "      <td>0.002285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Canarsie, Brooklyn</td>\n",
       "      <td>661</td>\n",
       "      <td>261.245273</td>\n",
       "      <td>80566.55</td>\n",
       "      <td>0.001142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>East New York (North), Brooklyn</td>\n",
       "      <td>548</td>\n",
       "      <td>547.438675</td>\n",
       "      <td>39965.80</td>\n",
       "      <td>0.001432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brownsville, Brooklyn</td>\n",
       "      <td>484</td>\n",
       "      <td>438.295113</td>\n",
       "      <td>234344.96</td>\n",
       "      <td>0.007612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      nta_name_full  count  count_sqmi  total_asset_area  \\\n",
       "31         South Ozone Park, Queens    834  284.109888          51964.50   \n",
       "23    East Flatbush-Rugby, Brooklyn    681  697.879835          62157.50   \n",
       "19               Canarsie, Brooklyn    661  261.245273          80566.55   \n",
       "47  East New York (North), Brooklyn    548  547.438675          39965.80   \n",
       "2             Brownsville, Brooklyn    484  438.295113         234344.96   \n",
       "\n",
       "    total_asset_area_norm  \n",
       "31               0.000635  \n",
       "23               0.002285  \n",
       "19               0.001142  \n",
       "47               0.001432  \n",
       "2                0.007612  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top five projects by neighborhood\n",
    "df.sort_values(by='count', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "2f35f797",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>nta_name_full</th>\n",
       "      <th>count</th>\n",
       "      <th>count_sqmi</th>\n",
       "      <th>total_asset_area</th>\n",
       "      <th>total_asset_area_norm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chelsea-Hudson Yards, Manhattan</td>\n",
       "      <td>10</td>\n",
       "      <td>9.395603</td>\n",
       "      <td>442415.38</td>\n",
       "      <td>0.014910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Freshkills Park (South), Staten Island</td>\n",
       "      <td>3</td>\n",
       "      <td>1.751201</td>\n",
       "      <td>309156.00</td>\n",
       "      <td>0.006473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brownsville, Brooklyn</td>\n",
       "      <td>484</td>\n",
       "      <td>438.295113</td>\n",
       "      <td>234344.96</td>\n",
       "      <td>0.007612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bensonhurst, Brooklyn</td>\n",
       "      <td>168</td>\n",
       "      <td>96.300562</td>\n",
       "      <td>229623.00</td>\n",
       "      <td>0.004721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>East New York-City Line, Brooklyn</td>\n",
       "      <td>260</td>\n",
       "      <td>229.894552</td>\n",
       "      <td>203111.38</td>\n",
       "      <td>0.006442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            nta_name_full  count  count_sqmi  \\\n",
       "0         Chelsea-Hudson Yards, Manhattan     10    9.395603   \n",
       "1  Freshkills Park (South), Staten Island      3    1.751201   \n",
       "2                   Brownsville, Brooklyn    484  438.295113   \n",
       "3                   Bensonhurst, Brooklyn    168   96.300562   \n",
       "4       East New York-City Line, Brooklyn    260  229.894552   \n",
       "\n",
       "   total_asset_area  total_asset_area_norm  \n",
       "0         442415.38               0.014910  \n",
       "1         309156.00               0.006473  \n",
       "2         234344.96               0.007612  \n",
       "3         229623.00               0.004721  \n",
       "4         203111.38               0.006442  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# top five projects by total area\n",
    "df.sort_values(by='total_asset_area', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b6726eb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BoroCode</th>\n",
       "      <th>BoroName</th>\n",
       "      <th>CountyFIPS</th>\n",
       "      <th>NTA2020</th>\n",
       "      <th>NTAName</th>\n",
       "      <th>NTAAbbrev</th>\n",
       "      <th>NTAType</th>\n",
       "      <th>CDTA2020</th>\n",
       "      <th>CDTAName</th>\n",
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       "      <th>geometry</th>\n",
       "      <th>nta_name_full</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0101</td>\n",
       "      <td>Greenpoint</td>\n",
       "      <td>Grnpt</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>28912.566322</td>\n",
       "      <td>3.532121e+07</td>\n",
       "      <td>POLYGON ((1003059.997 204572.025, 1002991.367 ...</td>\n",
       "      <td>Greenpoint, Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0102</td>\n",
       "      <td>Williamsburg</td>\n",
       "      <td>Wllmsbrg</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>28098.027018</td>\n",
       "      <td>2.885431e+07</td>\n",
       "      <td>POLYGON ((994849.011 203499.267, 994911.093 20...</td>\n",
       "      <td>Williamsburg, Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0103</td>\n",
       "      <td>South Williamsburg</td>\n",
       "      <td>SWllmsbrg</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>18250.280262</td>\n",
       "      <td>1.520896e+07</td>\n",
       "      <td>POLYGON ((998047.210 196303.325, 998157.901 19...</td>\n",
       "      <td>South Williamsburg, Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0104</td>\n",
       "      <td>East Williamsburg</td>\n",
       "      <td>EWllmsbrg</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>43184.773087</td>\n",
       "      <td>5.226621e+07</td>\n",
       "      <td>POLYGON ((1005302.497 199455.730, 1005307.792 ...</td>\n",
       "      <td>East Williamsburg, Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0201</td>\n",
       "      <td>Brooklyn Heights</td>\n",
       "      <td>BkHts</td>\n",
       "      <td>0</td>\n",
       "      <td>BK02</td>\n",
       "      <td>BK02 Downtown Brooklyn-Fort Greene (CD 2 Appro...</td>\n",
       "      <td>14312.504867</td>\n",
       "      <td>9.982322e+06</td>\n",
       "      <td>POLYGON ((986367.735 190549.239, 985813.835 19...</td>\n",
       "      <td>Brooklyn Heights, Brooklyn</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   BoroCode  BoroName CountyFIPS NTA2020             NTAName  NTAAbbrev  \\\n",
       "0         3  Brooklyn        047  BK0101          Greenpoint      Grnpt   \n",
       "1         3  Brooklyn        047  BK0102        Williamsburg   Wllmsbrg   \n",
       "2         3  Brooklyn        047  BK0103  South Williamsburg  SWllmsbrg   \n",
       "3         3  Brooklyn        047  BK0104   East Williamsburg  EWllmsbrg   \n",
       "4         3  Brooklyn        047  BK0201    Brooklyn Heights      BkHts   \n",
       "\n",
       "  NTAType CDTA2020                                           CDTAName  \\\n",
       "0       0     BK01     BK01 Williamsburg-Greenpoint (CD 1 Equivalent)   \n",
       "1       0     BK01     BK01 Williamsburg-Greenpoint (CD 1 Equivalent)   \n",
       "2       0     BK01     BK01 Williamsburg-Greenpoint (CD 1 Equivalent)   \n",
       "3       0     BK01     BK01 Williamsburg-Greenpoint (CD 1 Equivalent)   \n",
       "4       0     BK02  BK02 Downtown Brooklyn-Fort Greene (CD 2 Appro...   \n",
       "\n",
       "     Shape_Leng    Shape_Area  \\\n",
       "0  28912.566322  3.532121e+07   \n",
       "1  28098.027018  2.885431e+07   \n",
       "2  18250.280262  1.520896e+07   \n",
       "3  43184.773087  5.226621e+07   \n",
       "4  14312.504867  9.982322e+06   \n",
       "\n",
       "                                            geometry  \\\n",
       "0  POLYGON ((1003059.997 204572.025, 1002991.367 ...   \n",
       "1  POLYGON ((994849.011 203499.267, 994911.093 20...   \n",
       "2  POLYGON ((998047.210 196303.325, 998157.901 19...   \n",
       "3  POLYGON ((1005302.497 199455.730, 1005307.792 ...   \n",
       "4  POLYGON ((986367.735 190549.239, 985813.835 19...   \n",
       "\n",
       "                  nta_name_full  \n",
       "0          Greenpoint, Brooklyn  \n",
       "1        Williamsburg, Brooklyn  \n",
       "2  South Williamsburg, Brooklyn  \n",
       "3   East Williamsburg, Brooklyn  \n",
       "4    Brooklyn Heights, Brooklyn  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# retrieve neighborhood boundaries used for plotting\n",
    "path = \"data/nynta2020_24c.zip!nynta2020_24c\"\n",
    "\n",
    "nta_gdf = gpd.read_file(path).to_crs(2263)\n",
    "nta_gdf['nta_name_full'] = nta_gdf['NTAName'] + ', ' + nta_gdf['BoroName']\n",
    "\n",
    "nta_gdf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "307e68ef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(262, 17)\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BoroCode</th>\n",
       "      <th>BoroName</th>\n",
       "      <th>CountyFIPS</th>\n",
       "      <th>NTA2020</th>\n",
       "      <th>NTAName</th>\n",
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       "      <th>nta_name_full</th>\n",
       "      <th>count</th>\n",
       "      <th>count_sqmi</th>\n",
       "      <th>total_asset_area</th>\n",
       "      <th>total_asset_area_norm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0101</td>\n",
       "      <td>Greenpoint</td>\n",
       "      <td>Grnpt</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>28912.566322</td>\n",
       "      <td>3.532121e+07</td>\n",
       "      <td>POLYGON ((1003059.997 204572.025, 1002991.367 ...</td>\n",
       "      <td>Greenpoint, Brooklyn</td>\n",
       "      <td>11.0</td>\n",
       "      <td>8.682104</td>\n",
       "      <td>33840.00</td>\n",
       "      <td>0.000958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0102</td>\n",
       "      <td>Williamsburg</td>\n",
       "      <td>Wllmsbrg</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>28098.027018</td>\n",
       "      <td>2.885431e+07</td>\n",
       "      <td>POLYGON ((994849.011 203499.267, 994911.093 20...</td>\n",
       "      <td>Williamsburg, Brooklyn</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.932356</td>\n",
       "      <td>40300.00</td>\n",
       "      <td>0.001397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0103</td>\n",
       "      <td>South Williamsburg</td>\n",
       "      <td>SWllmsbrg</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>18250.280262</td>\n",
       "      <td>1.520896e+07</td>\n",
       "      <td>POLYGON ((998047.210 196303.325, 998157.901 19...</td>\n",
       "      <td>South Williamsburg, Brooklyn</td>\n",
       "      <td>36.0</td>\n",
       "      <td>65.988888</td>\n",
       "      <td>12137.50</td>\n",
       "      <td>0.000798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0104</td>\n",
       "      <td>East Williamsburg</td>\n",
       "      <td>EWllmsbrg</td>\n",
       "      <td>0</td>\n",
       "      <td>BK01</td>\n",
       "      <td>BK01 Williamsburg-Greenpoint (CD 1 Equivalent)</td>\n",
       "      <td>43184.773087</td>\n",
       "      <td>5.226621e+07</td>\n",
       "      <td>POLYGON ((1005302.497 199455.730, 1005307.792 ...</td>\n",
       "      <td>East Williamsburg, Brooklyn</td>\n",
       "      <td>85.0</td>\n",
       "      <td>45.338354</td>\n",
       "      <td>53806.36</td>\n",
       "      <td>0.001029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>047</td>\n",
       "      <td>BK0201</td>\n",
       "      <td>Brooklyn Heights</td>\n",
       "      <td>BkHts</td>\n",
       "      <td>0</td>\n",
       "      <td>BK02</td>\n",
       "      <td>BK02 Downtown Brooklyn-Fort Greene (CD 2 Appro...</td>\n",
       "      <td>14312.504867</td>\n",
       "      <td>9.982322e+06</td>\n",
       "      <td>POLYGON ((986367.735 190549.239, 985813.835 19...</td>\n",
       "      <td>Brooklyn Heights, Brooklyn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   BoroCode  BoroName CountyFIPS NTA2020             NTAName  NTAAbbrev  \\\n",
       "0         3  Brooklyn        047  BK0101          Greenpoint      Grnpt   \n",
       "1         3  Brooklyn        047  BK0102        Williamsburg   Wllmsbrg   \n",
       "2         3  Brooklyn        047  BK0103  South Williamsburg  SWllmsbrg   \n",
       "3         3  Brooklyn        047  BK0104   East Williamsburg  EWllmsbrg   \n",
       "4         3  Brooklyn        047  BK0201    Brooklyn Heights      BkHts   \n",
       "\n",
       "  NTAType CDTA2020                                           CDTAName  \\\n",
       "0       0     BK01     BK01 Williamsburg-Greenpoint (CD 1 Equivalent)   \n",
       "1       0     BK01     BK01 Williamsburg-Greenpoint (CD 1 Equivalent)   \n",
       "2       0     BK01     BK01 Williamsburg-Greenpoint (CD 1 Equivalent)   \n",
       "3       0     BK01     BK01 Williamsburg-Greenpoint (CD 1 Equivalent)   \n",
       "4       0     BK02  BK02 Downtown Brooklyn-Fort Greene (CD 2 Appro...   \n",
       "\n",
       "     Shape_Leng    Shape_Area  \\\n",
       "0  28912.566322  3.532121e+07   \n",
       "1  28098.027018  2.885431e+07   \n",
       "2  18250.280262  1.520896e+07   \n",
       "3  43184.773087  5.226621e+07   \n",
       "4  14312.504867  9.982322e+06   \n",
       "\n",
       "                                            geometry  \\\n",
       "0  POLYGON ((1003059.997 204572.025, 1002991.367 ...   \n",
       "1  POLYGON ((994849.011 203499.267, 994911.093 20...   \n",
       "2  POLYGON ((998047.210 196303.325, 998157.901 19...   \n",
       "3  POLYGON ((1005302.497 199455.730, 1005307.792 ...   \n",
       "4  POLYGON ((986367.735 190549.239, 985813.835 19...   \n",
       "\n",
       "                  nta_name_full  count  count_sqmi  total_asset_area  \\\n",
       "0          Greenpoint, Brooklyn   11.0    8.682104          33840.00   \n",
       "1        Williamsburg, Brooklyn    2.0    1.932356          40300.00   \n",
       "2  South Williamsburg, Brooklyn   36.0   65.988888          12137.50   \n",
       "3   East Williamsburg, Brooklyn   85.0   45.338354          53806.36   \n",
       "4    Brooklyn Heights, Brooklyn    NaN         NaN               NaN   \n",
       "\n",
       "   total_asset_area_norm  \n",
       "0               0.000958  \n",
       "1               0.001397  \n",
       "2               0.000798  \n",
       "3               0.001029  \n",
       "4                    NaN  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge data on GeoDataFrame\n",
    "nta_merged = nta_gdf.merge(\n",
    "    df,\n",
    "    on='nta_name_full',\n",
    "    how='left'\n",
    ")\n",
    "\n",
    "print(nta_merged.shape)\n",
    "nta_merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "b535e94d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>count_sqmi</th>\n",
       "      <th>total_asset_area</th>\n",
       "      <th>total_asset_area_norm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>208.000000</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>208.000000</td>\n",
       "      <td>208.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>68.971154</td>\n",
       "      <td>63.055981</td>\n",
       "      <td>32532.627692</td>\n",
       "      <td>0.001364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>129.211279</td>\n",
       "      <td>109.848766</td>\n",
       "      <td>53904.446550</td>\n",
       "      <td>0.003026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.219906</td>\n",
       "      <td>132.000000</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.713374</td>\n",
       "      <td>5843.850000</td>\n",
       "      <td>0.000191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>11.429423</td>\n",
       "      <td>12823.250000</td>\n",
       "      <td>0.000534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>60.750000</td>\n",
       "      <td>69.849437</td>\n",
       "      <td>38164.550000</td>\n",
       "      <td>0.001430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>834.000000</td>\n",
       "      <td>697.879835</td>\n",
       "      <td>442415.380000</td>\n",
       "      <td>0.034423</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            count  count_sqmi  total_asset_area  total_asset_area_norm\n",
       "count  208.000000  208.000000        208.000000             208.000000\n",
       "mean    68.971154   63.055981      32532.627692               0.001364\n",
       "std    129.211279  109.848766      53904.446550               0.003026\n",
       "min      1.000000    0.219906        132.000000               0.000002\n",
       "25%      3.000000    3.713374       5843.850000               0.000191\n",
       "50%     10.000000   11.429423      12823.250000               0.000534\n",
       "75%     60.750000   69.849437      38164.550000               0.001430\n",
       "max    834.000000  697.879835     442415.380000               0.034423"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# examine summary statistics\n",
    "nta_merged[['count', 'count_sqmi', 'total_asset_area', 'total_asset_area_norm']].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd021402",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "ed6c9b23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 6))\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n",
    "cmap = plt.cm.viridis\n",
    "\n",
    "nta_merged.plot(\n",
    "    column='count',\n",
    "    legend=True,\n",
    "    cmap=cmap,\n",
    "    cax=cax,\n",
    "    ax=ax,\n",
    ")\n",
    "\n",
    "nta_gdf.plot(\n",
    "    ax=ax,\n",
    "    zorder=1,\n",
    "    facecolor='None',\n",
    "    linewidth=.3\n",
    ")\n",
    "\n",
    "ax.set_title('Number of Green Infrastructure Projects\\n\\\n",
    "by Neighborhood in New York City')\n",
    "ax.axis('off')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "fe61709b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 6))\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n",
    "cmap = plt.cm.viridis\n",
    "\n",
    "nta_merged.plot(\n",
    "    column='total_asset_area',\n",
    "    legend=True,\n",
    "    cmap=cmap,\n",
    "    cax=cax,\n",
    "    ax=ax,\n",
    ")\n",
    "\n",
    "nta_gdf.plot(\n",
    "    ax=ax,\n",
    "    zorder=1,\n",
    "    facecolor='None',\n",
    "    linewidth=.3\n",
    ")\n",
    "\n",
    "ax.set_title('Total Area of Green Infrastructure\\n\\\n",
    "Projects by Neighborhood in New York City')\n",
    "cax.set_ylabel('Square Feet')\n",
    "ax.axis('off')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "2fb144ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 6))\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n",
    "cmap = plt.cm.viridis\n",
    "\n",
    "nta_merged.plot(\n",
    "    column='count_sqmi',\n",
    "    legend=True,\n",
    "    cmap=cmap,\n",
    "    cax=cax,\n",
    "    ax=ax,\n",
    ")\n",
    "\n",
    "nta_gdf.plot(\n",
    "    ax=ax,\n",
    "    zorder=1,\n",
    "    facecolor='None',\n",
    "    linewidth=.3\n",
    ")\n",
    "\n",
    "ax.set_title('Number of Green Infrastructure Projects\\n\\\n",
    "Normalized by Neighborood Area in New York City')\n",
    "cax.set_ylabel('Count / Square Miles')\n",
    "ax.axis('off')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "54e42d09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(6, 6))\n",
    "\n",
    "divider = make_axes_locatable(ax)\n",
    "cax = divider.append_axes(\"right\", size=\"5%\", pad=0.1)\n",
    "cmap = plt.cm.viridis\n",
    "\n",
    "nta_merged.plot(\n",
    "    column='total_asset_area_norm',\n",
    "    legend=True,\n",
    "    cmap=cmap,\n",
    "    cax=cax,\n",
    "    ax=ax,\n",
    ")\n",
    "\n",
    "nta_gdf.plot(\n",
    "    ax=ax,\n",
    "    zorder=1,\n",
    "    facecolor='None',\n",
    "    linewidth=.3\n",
    ")\n",
    "\n",
    "ax.set_title('Total Area of Green Infrastructure Projects\\n\\\n",
    "Normalized by Neighborhood Area in New York City')\n",
    "cax.set_ylabel('Project Area / Neighborood Area')\n",
    "ax.axis('off')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e51bd659",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}