{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project: California Equity Research\n",
    "### Data: postgis db `calif_equity` with california climate investment and california enviroscreen data\n",
    "#### Goal: Analyze the relationship between climate investment and environmental justice in California\n",
    "#### This notebook: descriptives and visualizations of the data\n",
    "##### Author: [dpadams](dpadams@fullerton.edu)\n",
    "##### Date: 2024-10-17\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# set working directory\n",
    "import os\n",
    "os.chdir(\"/home/dadams/CSU Fullerton Dropbox/David Adams/Research Projects/California Equity/california_equity_git\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# connect and authenticate with the database\n",
    "from sqlalchemy import create_engine\n",
    "import psycopg2\n",
    "import pandas as pd\n",
    "\n",
    "# Database connection string\n",
    "db_connection_url = 'postgresql+psycopg2://postgres:MandyLinkToby3@localhost:5432/calif_equity'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create sqlalchemy engine\n",
    "engine = create_engine(db_connection_url)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Read in the data from the database\n",
    "sql = 'SELECT * FROM california_climate_investment'\n",
    "climate_investment = pd.read_sql(sql, engine)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Tract', 'ZIP', 'County_x', 'ApproxLoc', 'TotPop19', 'CIscore',\n",
       "       'CIscoreP', 'Ozone', 'OzoneP', 'PM2_5',\n",
       "       ...\n",
       "       'Net Density  DUA', 'Applicants  Assisted', 'Invasive Cover 12 Months',\n",
       "       'Invasive Cover 36 Months', 'Project Acreage', 'IS IAE',\n",
       "       'Intermediary Admin Expenses Calc', 'PRIMARY_FUNDING_RECIPIENT_TYPE',\n",
       "       'TRIBAL AFFILIATION', 'PROJECT PARTNERS'],\n",
       "      dtype='object', length=194)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " # list columns in the dataframe\n",
    "climate_investment.columns\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# using climate investment data, create a scatter plot of \"Total Project Cost\" vs \"Poverty\"\n",
    "sns.scatterplot(data=climate_investment, x='Total Project Cost', y='Poverty')\n",
    "plt.title('Total Project Cost vs Poverty')\n",
    "plt.show()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>Tract</th>\n",
       "      <th>ZIP</th>\n",
       "      <th>County_x</th>\n",
       "      <th>ApproxLoc</th>\n",
       "      <th>TotPop19</th>\n",
       "      <th>CIscore</th>\n",
       "      <th>CIscoreP</th>\n",
       "      <th>Ozone</th>\n",
       "      <th>OzoneP</th>\n",
       "      <th>PM2_5</th>\n",
       "      <th>...</th>\n",
       "      <th>Net Density  DUA</th>\n",
       "      <th>Applicants  Assisted</th>\n",
       "      <th>Invasive Cover 12 Months</th>\n",
       "      <th>Invasive Cover 36 Months</th>\n",
       "      <th>Project Acreage</th>\n",
       "      <th>IS IAE</th>\n",
       "      <th>Intermediary Admin Expenses Calc</th>\n",
       "      <th>PRIMARY_FUNDING_RECIPIENT_TYPE</th>\n",
       "      <th>TRIBAL AFFILIATION</th>\n",
       "      <th>PROJECT PARTNERS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>6083980000.0</td>\n",
       "      <td>93117</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.039755</td>\n",
       "      <td>20.846297</td>\n",
       "      <td>8.035979</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>6083980000.0</td>\n",
       "      <td>93117</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.039755</td>\n",
       "      <td>20.846297</td>\n",
       "      <td>8.035979</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>6083980000.0</td>\n",
       "      <td>93117</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.039755</td>\n",
       "      <td>20.846297</td>\n",
       "      <td>8.035979</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>6083980000.0</td>\n",
       "      <td>93117</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.039755</td>\n",
       "      <td>20.846297</td>\n",
       "      <td>8.035979</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>6083980000.0</td>\n",
       "      <td>93117</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>Santa Barbara</td>\n",
       "      <td>0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.039755</td>\n",
       "      <td>20.846297</td>\n",
       "      <td>8.035979</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116353</th>\n",
       "      <td>6037910811.0</td>\n",
       "      <td>93510</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Unincorporated Los Angeles County area</td>\n",
       "      <td>179</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.066049</td>\n",
       "      <td>95.308027</td>\n",
       "      <td>9.386662</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118390</th>\n",
       "      <td>6037901003.0</td>\n",
       "      <td>93536</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Lancaster</td>\n",
       "      <td>4895</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.062365</td>\n",
       "      <td>88.699440</td>\n",
       "      <td>7.135657</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118983</th>\n",
       "      <td>6037401901.0</td>\n",
       "      <td>91711</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Claremont</td>\n",
       "      <td>3945</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.061338</td>\n",
       "      <td>84.579963</td>\n",
       "      <td>13.145812</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118984</th>\n",
       "      <td>6037401901.0</td>\n",
       "      <td>91711</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Claremont</td>\n",
       "      <td>3945</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.061338</td>\n",
       "      <td>84.579963</td>\n",
       "      <td>13.145812</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118985</th>\n",
       "      <td>6037401901.0</td>\n",
       "      <td>91711</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>Claremont</td>\n",
       "      <td>3945</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>-999.0</td>\n",
       "      <td>0.061338</td>\n",
       "      <td>84.579963</td>\n",
       "      <td>13.145812</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>False</td>\n",
       "      <td>0</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>409 rows × 194 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Tract    ZIP       County_x  \\\n",
       "222     6083980000.0  93117  Santa Barbara   \n",
       "223     6083980000.0  93117  Santa Barbara   \n",
       "224     6083980000.0  93117  Santa Barbara   \n",
       "225     6083980000.0  93117  Santa Barbara   \n",
       "226     6083980000.0  93117  Santa Barbara   \n",
       "...              ...    ...            ...   \n",
       "116353  6037910811.0  93510    Los Angeles   \n",
       "118390  6037901003.0  93536    Los Angeles   \n",
       "118983  6037401901.0  91711    Los Angeles   \n",
       "118984  6037401901.0  91711    Los Angeles   \n",
       "118985  6037401901.0  91711    Los Angeles   \n",
       "\n",
       "                                     ApproxLoc  TotPop19  CIscore  CIscoreP  \\\n",
       "222                              Santa Barbara         0   -999.0    -999.0   \n",
       "223                              Santa Barbara         0   -999.0    -999.0   \n",
       "224                              Santa Barbara         0   -999.0    -999.0   \n",
       "225                              Santa Barbara         0   -999.0    -999.0   \n",
       "226                              Santa Barbara         0   -999.0    -999.0   \n",
       "...                                        ...       ...      ...       ...   \n",
       "116353  Unincorporated Los Angeles County area       179   -999.0    -999.0   \n",
       "118390                               Lancaster      4895   -999.0    -999.0   \n",
       "118983                               Claremont      3945   -999.0    -999.0   \n",
       "118984                               Claremont      3945   -999.0    -999.0   \n",
       "118985                               Claremont      3945   -999.0    -999.0   \n",
       "\n",
       "           Ozone     OzoneP      PM2_5  ...  Net Density  DUA  \\\n",
       "222     0.039755  20.846297   8.035979  ...               0.0   \n",
       "223     0.039755  20.846297   8.035979  ...               0.0   \n",
       "224     0.039755  20.846297   8.035979  ...               0.0   \n",
       "225     0.039755  20.846297   8.035979  ...               0.0   \n",
       "226     0.039755  20.846297   8.035979  ...               0.0   \n",
       "...          ...        ...        ...  ...               ...   \n",
       "116353  0.066049  95.308027   9.386662  ...               0.0   \n",
       "118390  0.062365  88.699440   7.135657  ...               0.0   \n",
       "118983  0.061338  84.579963  13.145812  ...               0.0   \n",
       "118984  0.061338  84.579963  13.145812  ...               0.0   \n",
       "118985  0.061338  84.579963  13.145812  ...               0.0   \n",
       "\n",
       "        Applicants  Assisted  Invasive Cover 12 Months  \\\n",
       "222                        0                         0   \n",
       "223                        0                         0   \n",
       "224                        0                         0   \n",
       "225                        0                         0   \n",
       "226                        0                         0   \n",
       "...                      ...                       ...   \n",
       "116353                     0                         0   \n",
       "118390                     0                         0   \n",
       "118983                     0                         0   \n",
       "118984                     0                         0   \n",
       "118985                     0                         0   \n",
       "\n",
       "        Invasive Cover 36 Months  Project Acreage  IS IAE  \\\n",
       "222                            0                0   False   \n",
       "223                            0                0   False   \n",
       "224                            0                0   False   \n",
       "225                            0                0   False   \n",
       "226                            0                0   False   \n",
       "...                          ...              ...     ...   \n",
       "116353                         0                0   False   \n",
       "118390                         0                0   False   \n",
       "118983                         0                0   False   \n",
       "118984                         0                0   False   \n",
       "118985                         0                0   False   \n",
       "\n",
       "        Intermediary Admin Expenses Calc  PRIMARY_FUNDING_RECIPIENT_TYPE  \\\n",
       "222                                    0                            None   \n",
       "223                                    0                            None   \n",
       "224                                    0                            None   \n",
       "225                                    0                            None   \n",
       "226                                    0                            None   \n",
       "...                                  ...                             ...   \n",
       "116353                                 0                            None   \n",
       "118390                                 0                            None   \n",
       "118983                                 0                            None   \n",
       "118984                                 0                            None   \n",
       "118985                                 0                            None   \n",
       "\n",
       "        TRIBAL AFFILIATION  PROJECT PARTNERS  \n",
       "222                   None              None  \n",
       "223                   None              None  \n",
       "224                   None              None  \n",
       "225                   None              None  \n",
       "226                   None              None  \n",
       "...                    ...               ...  \n",
       "116353                None              None  \n",
       "118390                None              None  \n",
       "118983                None              None  \n",
       "118984                None              None  \n",
       "118985                None              None  \n",
       "\n",
       "[409 rows x 194 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# look for negative values in the \"Poverty\" column\n",
    "climate_investment[climate_investment['Poverty'] < 0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove rows with negative values in the \"Poverty\" column\n",
    "climate_investment = climate_investment[climate_investment['Poverty'] >= 0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# using climate investment data, create a scatter plot of \"Total Project Cost\" vs \"Poverty\"\n",
    "sns.scatterplot(data=climate_investment, x='Total Project Cost', y='Poverty')\n",
    "plt.title('Total Project Cost vs Poverty')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "## set up the environment\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_3460201/3570709754.py:7: FutureWarning: The provided callable <function sum at 0x7cfd6910e980> is currently using DataFrameGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string \"sum\" instead.\n",
      "  pivot_table = pd.pivot_table(climate_investment, values='Total Project Cost', index='County_y', aggfunc=np.sum)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Total Project Cost heatmap by County\n",
    "# read in the data\n",
    "sql = 'SELECT * FROM california_climate_investment'\n",
    "climate_investment = pd.read_sql(sql, engine)\n",
    "\n",
    "# create a pivot table\n",
    "pivot_table = pd.pivot_table(climate_investment, values='Total Project Cost', index='County_y', aggfunc=np.sum)\n",
    "\n",
    "# create a heatmap\n",
    "sns.heatmap(pivot_table, cmap='coolwarm')\n",
    "plt.title('Total Project Cost by County')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Tract', 'ZIP', 'County_x', 'ApproxLoc', 'TotPop19', 'CIscore',\n",
       "       'CIscoreP', 'Ozone', 'OzoneP', 'PM2_5',\n",
       "       ...\n",
       "       'Net Density  DUA', 'Applicants  Assisted', 'Invasive Cover 12 Months',\n",
       "       'Invasive Cover 36 Months', 'Project Acreage', 'IS IAE',\n",
       "       'Intermediary Admin Expenses Calc', 'PRIMARY_FUNDING_RECIPIENT_TYPE',\n",
       "       'TRIBAL AFFILIATION', 'PROJECT PARTNERS'],\n",
       "      dtype='object', length=194)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# column names\n",
    "climate_investment.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# print columns to csv\n",
    "columns_df = pd.DataFrame(climate_investment.columns, columns=['Column Name'])\n",
    "columns_df.to_csv('columns.csv', index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    None\n",
       "1    None\n",
       "2    None\n",
       "3    None\n",
       "4    None\n",
       "Name: Lat Long, dtype: object"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# head of column 'Lat Long' \n",
    "climate_investment['Lat Long'].head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "california",
   "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": "3.11.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}