fire_dispatch_eda_incidents.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import os \n",
    "from dotenv import load_dotenv, find_dotenv\n",
    "import psycopg2\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Updated 1/27/17\n",
    "\n",
    "In this notebook, I explore the sample fire dispatch data provided to HACK OR Emergency Response Project Team. NOTE: this notebook was updated with queries on the updated db with dispatch data from PF&R dating back to 01/01/10.\n",
    "See this [link](https://github.com/hackoregon/emergency-response/wiki/Data-Dictionary#incident-table) for the codebook/schema descriptions for the PF&R dispatch data.\n",
    "\n",
    "Research questions explored thus far in this notebook:\n",
    "*  for incidents (within the incident table), what are the types of incidfoundclass_id labels? How many of each type are there?\n",
    "*  for incidents, there is another type of categorical label, typenaturecode, which is much more specific. As in 1) above, what are the types of lables and now many of each are there?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# walk root diretory to find and load .env file w/ AWS host, username and password\n",
    "load_dotenv(find_dotenv())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# ucomment to check environment variables\n",
    "#%env"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# connect to postgres\n",
    "def pgconnect():\n",
    "    try:\n",
    "        conn = psycopg2.connect(database=os.environ.get(\"database\"), user=os.environ.get(\"user\"), \n",
    "                            password = os.environ.get(\"password\"), \n",
    "                            host=os.environ.get(\"host\"), port=os.environ.get(\"port\"))\n",
    "        print(\"Opened database successfully\")\n",
    "        return conn\n",
    "    \n",
    "    except psycopg2.Error as e:\n",
    "        print(\"I am unable to connect to the database\")\n",
    "        print(e)\n",
    "        print(e.pgcode)\n",
    "        print(e.pgerror)\n",
    "        print(traceback.format_exc())\n",
    "        return None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def pquery(QUERY):\n",
    "    '''\n",
    "    takes SQL query string, opens a cursor, and executes query in psql\n",
    "    '''\n",
    "    conn = pgconnect()\n",
    "    cur = conn.cursor()\n",
    "    \n",
    "    try:\n",
    "        print(\"SQL QUERY = \"+QUERY)\n",
    "        cur.execute(\"SET statement_timeout = 0\")\n",
    "        cur.execute(QUERY)\n",
    "        # Extract the column names and insert them in header\n",
    "        col_names = []\n",
    "        for elt in cur.description:\n",
    "            col_names.append(elt[0])    \n",
    "    \n",
    "        D = cur.fetchall() #convert query result to list\n",
    "        # Create the dataframe, passing in the list of col_names extracted from the description\n",
    "        conn.close()\n",
    "        return pd.DataFrame(D, columns=col_names)\n",
    "\n",
    "    except Exception as e:\n",
    "        print(e.pgerror)\n",
    "        conn.close()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "QUERY1='''SELECT incident.incident_id, incsitfoundclass.incsitfoundclass_id, incsitfoundclass.description\n",
    "FROM incident\n",
    "  INNER JOIN incsitfound\n",
    "    ON incident.incsitfoundprm_id = incsitfound.incsitfound_id\n",
    "  LEFT JOIN incsitfoundsub\n",
    "    ON incsitfound.incsitfoundsub_id = incsitfoundsub.incsitfoundsub_id\n",
    "  LEFT JOIN incsitfoundclass\n",
    "    ON incsitfoundsub.incsitfoundclass_id = incsitfoundclass.incsitfoundclass_id;\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opened database successfully\n",
      "SQL QUERY = SELECT incident.incident_id, incsitfoundclass.incsitfoundclass_id, incsitfoundclass.description\n",
      "FROM incident\n",
      "  INNER JOIN incsitfound\n",
      "    ON incident.incsitfoundprm_id = incsitfound.incsitfound_id\n",
      "  LEFT JOIN incsitfoundsub\n",
      "    ON incsitfound.incsitfoundsub_id = incsitfoundsub.incsitfoundsub_id\n",
      "  LEFT JOIN incsitfoundclass\n",
      "    ON incsitfoundsub.incsitfoundclass_id = incsitfoundclass.incsitfoundclass_id;\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df1 = pquery(QUERY1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 512281 entries, 0 to 512280\n",
      "Data columns (total 3 columns):\n",
      "incident_id            512281 non-null int64\n",
      "incsitfoundclass_id    512281 non-null int64\n",
      "description            512281 non-null object\n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 11.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df1.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>incident_id</th>\n",
       "      <th>incsitfoundclass_id</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>754221</td>\n",
       "      <td>3</td>\n",
       "      <td>MEDICAL AID / RESCUE CALLS                    ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>754222</td>\n",
       "      <td>6</td>\n",
       "      <td>GOOD INTENT CALLS                             ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>754224</td>\n",
       "      <td>3</td>\n",
       "      <td>MEDICAL AID / RESCUE CALLS                    ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>754225</td>\n",
       "      <td>3</td>\n",
       "      <td>MEDICAL AID / RESCUE CALLS                    ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>754226</td>\n",
       "      <td>3</td>\n",
       "      <td>MEDICAL AID / RESCUE CALLS                    ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   incident_id  incsitfoundclass_id  \\\n",
       "0       754221                    3   \n",
       "1       754222                    6   \n",
       "2       754224                    3   \n",
       "3       754225                    3   \n",
       "4       754226                    3   \n",
       "\n",
       "                                         description  \n",
       "0  MEDICAL AID / RESCUE CALLS                    ...  \n",
       "1  GOOD INTENT CALLS                             ...  \n",
       "2  MEDICAL AID / RESCUE CALLS                    ...  \n",
       "3  MEDICAL AID / RESCUE CALLS                    ...  \n",
       "4  MEDICAL AID / RESCUE CALLS                    ...  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "description\n",
       "MEDICAL AID / RESCUE CALLS                            368084\n",
       "SERVICE CALL                                           50997\n",
       "FALSE CALLS                                            39210\n",
       "GOOD INTENT CALLS                                      24884\n",
       "FIRE/EXPLOSION                                         16232\n",
       "HAZARDOUS CONDITIONS                                   10564\n",
       "OTHER SITUATION FOUND                                   1478\n",
       "OVER PRESSURE RUPTURE, EXPLOSION, OVERHEAT               394\n",
       "MUTUAL AID RESPONSE                                      253\n",
       "NATURAL CONDITIONS                                       185\n",
       "Name: description, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.groupby('description')['description'].count().sort_values(ascending = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff00f297ba8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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3tLSElZUVEhMTpa+iOXjwIA4ePCgTN2vWLOnj1F988YXcODt37oSrqyvEYjF2796NwsJC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\nRETkdGxOiYiIiIiIyOn+D39jNuu66rvGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff00f2970b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"whitegrid\")\n",
    "sns.countplot(y='description', data = df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>description</th>\n",
       "      <th>FALSE CALLS</th>\n",
       "      <th>FIRE/EXPLOSION</th>\n",
       "      <th>GOOD INTENT CALLS</th>\n",
       "      <th>HAZARDOUS CONDITIONS</th>\n",
       "      <th>MEDICAL AID / RESCUE CALLS</th>\n",
       "      <th>MUTUAL AID RESPONSE</th>\n",
       "      <th>NATURAL CONDITIONS</th>\n",
       "      <th>OTHER SITUATION FOUND</th>\n",
       "      <th>OVER PRESSURE RUPTURE, EXPLOSION, OVERHEAT</th>\n",
       "      <th>SERVICE CALL</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>row_0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>0.07654</td>\n",
       "      <td>0.031686</td>\n",
       "      <td>0.048575</td>\n",
       "      <td>0.020621</td>\n",
       "      <td>0.71852</td>\n",
       "      <td>0.000494</td>\n",
       "      <td>0.000361</td>\n",
       "      <td>0.002885</td>\n",
       "      <td>0.000769</td>\n",
       "      <td>0.099549</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "description  FALSE CALLS                                         \\\n",
       "row_0                                                             \n",
       "count                                                  0.07654    \n",
       "\n",
       "description  FIRE/EXPLOSION                                      \\\n",
       "row_0                                                             \n",
       "count                                                 0.031686    \n",
       "\n",
       "description  GOOD INTENT CALLS                                   \\\n",
       "row_0                                                             \n",
       "count                                                 0.048575    \n",
       "\n",
       "description  HAZARDOUS CONDITIONS                                \\\n",
       "row_0                                                             \n",
       "count                                                 0.020621    \n",
       "\n",
       "description  MEDICAL AID / RESCUE CALLS                          \\\n",
       "row_0                                                             \n",
       "count                                                  0.71852    \n",
       "\n",
       "description  MUTUAL AID RESPONSE                                 \\\n",
       "row_0                                                             \n",
       "count                                                 0.000494    \n",
       "\n",
       "description  NATURAL CONDITIONS                                  \\\n",
       "row_0                                                             \n",
       "count                                                 0.000361    \n",
       "\n",
       "description  OTHER SITUATION FOUND                               \\\n",
       "row_0                                                             \n",
       "count                                                 0.002885    \n",
       "\n",
       "description  OVER PRESSURE RUPTURE, EXPLOSION, OVERHEAT          \\\n",
       "row_0                                                             \n",
       "count                                                 0.000769    \n",
       "\n",
       "description  SERVICE CALL                                        \n",
       "row_0                                                            \n",
       "count                                                 0.099549   "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# incident by desciption as % of total\n",
    "tab = pd.crosstab(index='count', columns = df1['description']).apply(lambda r: r/r.sum(), axis=1)\n",
    "tab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff00dc4ab70>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Yx4gBIUyf+wcVzAwVQohaS6G9e6WZWio3N5eEhARCQkKwspI+2r/K77//zpdf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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff00f297da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tab.plot.bar(stacked = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "From our EDA thus far on the incident table, we can see some trends emerging for the overall dataset:\n",
    " - responder-categorized (by incidfound) incidents were overwhelmingly MEDICAL AID / RESCUE CALLS at 71.9% for all incidents since 01/01/10\n",
    " - the FALSE ALARM rate is 7.7% of all incidents\n",
    " - FIRE/EXPLOSION incidents only account for 3.2% of all incidents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "QUERY2='''\n",
    "SELECT incident.typenaturecode_id, typenaturecode.description, \n",
    "  count(incident.typenaturecode_id) as num\n",
    "    FROM typenaturecode LEFT JOIN incident\n",
    "    ON incident.typenaturecode_id = typenaturecode.typenaturecode_id\n",
    "  GROUP BY incident.typenaturecode_id,typenaturecode.description\n",
    "  ORDER BY num DESC;\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opened database successfully\n",
      "SQL QUERY = \n",
      "SELECT incident.typenaturecode_id, typenaturecode.description, \n",
      "  count(incident.typenaturecode_id) as num\n",
      "    FROM typenaturecode LEFT JOIN incident\n",
      "    ON incident.typenaturecode_id = typenaturecode.typenaturecode_id\n",
      "  GROUP BY incident.typenaturecode_id,typenaturecode.description\n",
      "  ORDER BY num DESC;\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df2 = pquery(QUERY2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 477 entries, 0 to 476\n",
      "Data columns (total 3 columns):\n",
      "typenaturecode_id    302 non-null float64\n",
      "description          477 non-null object\n",
      "num                  477 non-null int64\n",
      "dtypes: float64(1), int64(1), object(1)\n",
      "memory usage: 11.3+ KB\n"
     ]
    }
   ],
   "source": [
    "df2.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>typenaturecode_id</th>\n",
       "      <th>description</th>\n",
       "      <th>num</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>141.0</td>\n",
       "      <td>TRAUMA/1ST RESP                               ...</td>\n",
       "      <td>54556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>30.0</td>\n",
       "      <td>BREATHING/1ST RESP                            ...</td>\n",
       "      <td>51444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>39.0</td>\n",
       "      <td>CHEST PAIN/1ST RESP                           ...</td>\n",
       "      <td>46407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>125.0</td>\n",
       "      <td>SICK/1ST RESP                                 ...</td>\n",
       "      <td>39430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12.0</td>\n",
       "      <td>AUTOMATIC FIRE ALARM-COMM                     ...</td>\n",
       "      <td>30373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>147.0</td>\n",
       "      <td>UNCONSCIOUS/1ST RESP                          ...</td>\n",
       "      <td>24283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1.0</td>\n",
       "      <td>ABDOMINAL/1ST RESP                            ...</td>\n",
       "      <td>23352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>132.0</td>\n",
       "      <td>SEIZURE/1ST RESP                              ...</td>\n",
       "      <td>18072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>134.0</td>\n",
       "      <td>TRAFFIC ACC/1ST RESP                          ...</td>\n",
       "      <td>17953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>110.0</td>\n",
       "      <td>OVERDOSE/1ST RESP                             ...</td>\n",
       "      <td>16007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>146.0</td>\n",
       "      <td>UNCONSCIOUS/1ST RESP                          ...</td>\n",
       "      <td>12257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>21.0</td>\n",
       "      <td>ASSAULT/1ST RESP                              ...</td>\n",
       "      <td>12085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>116.0</td>\n",
       "      <td>PUBLIC ASSIST                                 ...</td>\n",
       "      <td>11848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>130.0</td>\n",
       "      <td>STROKE/1ST RESP                               ...</td>\n",
       "      <td>11636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>47.0</td>\n",
       "      <td>DIABETIC/1ST RESP                             ...</td>\n",
       "      <td>10421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>144.0</td>\n",
       "      <td>UNKNOWN/1ST RESP                              ...</td>\n",
       "      <td>9542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>13.0</td>\n",
       "      <td>AUTOMATIC FIRE ALARM-RES                      ...</td>\n",
       "      <td>7113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>335.0</td>\n",
       "      <td>TRAFFIC ACC W/PED OR BIKE                     ...</td>\n",
       "      <td>6339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>145.0</td>\n",
       "      <td>UNKNOWN/FIRE ONLY                             ...</td>\n",
       "      <td>6114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>76.0</td>\n",
       "      <td>GRASS/BARKDUST/TREE FIRE                      ...</td>\n",
       "      <td>5942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>91.0</td>\n",
       "      <td>ILLEGAL BURN                                  ...</td>\n",
       "      <td>4952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>95.0</td>\n",
       "      <td>FIRE INFORMATION                              ...</td>\n",
       "      <td>4388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>11.0</td>\n",
       "      <td>AUDIBLE FIRE ALARM                            ...</td>\n",
       "      <td>4370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>115.0</td>\n",
       "      <td>POWER LINE/POLE DOWN/ARCING                   ...</td>\n",
       "      <td>4358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>476.0</td>\n",
       "      <td>LIFT ASSIST                                   ...</td>\n",
       "      <td>4161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>142.0</td>\n",
       "      <td>TRAUMA/FIRE ONLY                              ...</td>\n",
       "      <td>3940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>100.0</td>\n",
       "      <td>MISCELLANEOUS FIRE                            ...</td>\n",
       "      <td>3820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8.0</td>\n",
       "      <td>ALLERGIES/1ST RESP                            ...</td>\n",
       "      <td>3651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>140.0</td>\n",
       "      <td>TRAUMA/1ST RESP                               ...</td>\n",
       "      <td>3582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>150.0</td>\n",
       "      <td>VEHICLE/TRAILER FIRE                          ...</td>\n",
       "      <td>3578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>26.0</td>\n",
       "      <td>BLEEDING/1ST RESP                             ...</td>\n",
       "      <td>3440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>22.0</td>\n",
       "      <td>ASSAULT/FIRE ONLY                             ...</td>\n",
       "      <td>3351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>24.0</td>\n",
       "      <td>BACK PAIN/1ST RESP                            ...</td>\n",
       "      <td>3283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>109.0</td>\n",
       "      <td>OVERDOSE/1ST RESP                             ...</td>\n",
       "      <td>3259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>138.0</td>\n",
       "      <td>TRAF ACC/FIRE ONLY                            ...</td>\n",
       "      <td>3212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>483.0</td>\n",
       "      <td>SEIZURE/1ST RESP                              ...</td>\n",
       "      <td>3142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>108.0</td>\n",
       "      <td>PREGNANCY/1ST RESP                            ...</td>\n",
       "      <td>2721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>114.0</td>\n",
       "      <td>POLICE REQUEST                                ...</td>\n",
       "      <td>2651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>126.0</td>\n",
       "      <td>SMOKE IN AREA- OUTSIDE                        ...</td>\n",
       "      <td>2642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>20.0</td>\n",
       "      <td>ASSAULT/1ST RESP                              ...</td>\n",
       "      <td>2352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>81.0</td>\n",
       "      <td>HEADACHE/1ST RESP                             ...</td>\n",
       "      <td>2273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>23.0</td>\n",
       "      <td>BEHAVIOR PROBLEM/1ST RESP                     ...</td>\n",
       "      <td>2267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>118.0</td>\n",
       "      <td>RESD FIRE (HOUSE OR DUPLEX)                   ...</td>\n",
       "      <td>2262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>127.0</td>\n",
       "      <td>SMOKE INVEST.-STRUCTURE                       ...</td>\n",
       "      <td>2138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>152.0</td>\n",
       "      <td>WATER PROBLEM                                 ...</td>\n",
       "      <td>2119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>73.0</td>\n",
       "      <td>NATURAL GAS-ODOR/INVESTIGATION                ...</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>60.0</td>\n",
       "      <td>ELEVATOR RESCUE                               ...</td>\n",
       "      <td>1871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>112.0</td>\n",
       "      <td>ODOR/SMELL (NO SMOKE VISIBLE)                 ...</td>\n",
       "      <td>1855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>87.0</td>\n",
       "      <td>HAZ MAT LEVEL 1 (NO FIRE/INJ)                 ...</td>\n",
       "      <td>1855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>36.0</td>\n",
       "      <td>CARBON MONOXIDE ALARM                         ...</td>\n",
       "      <td>1849</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    typenaturecode_id                                        description  \\\n",
       "0               141.0  TRAUMA/1ST RESP                               ...   \n",
       "1                30.0  BREATHING/1ST RESP                            ...   \n",
       "2                39.0  CHEST PAIN/1ST RESP                           ...   \n",
       "3               125.0  SICK/1ST RESP                                 ...   \n",
       "4                12.0  AUTOMATIC FIRE ALARM-COMM                     ...   \n",
       "5               147.0  UNCONSCIOUS/1ST RESP                          ...   \n",
       "6                 1.0  ABDOMINAL/1ST RESP                            ...   \n",
       "7               132.0  SEIZURE/1ST RESP                              ...   \n",
       "8               134.0  TRAFFIC ACC/1ST RESP                          ...   \n",
       "9               110.0  OVERDOSE/1ST RESP                             ...   \n",
       "10              146.0  UNCONSCIOUS/1ST RESP                          ...   \n",
       "11               21.0  ASSAULT/1ST RESP                              ...   \n",
       "12              116.0  PUBLIC ASSIST                                 ...   \n",
       "13              130.0  STROKE/1ST RESP                               ...   \n",
       "14               47.0  DIABETIC/1ST RESP                             ...   \n",
       "15              144.0  UNKNOWN/1ST RESP                              ...   \n",
       "16               13.0  AUTOMATIC FIRE ALARM-RES                      ...   \n",
       "17              335.0  TRAFFIC ACC W/PED OR BIKE                     ...   \n",
       "18              145.0  UNKNOWN/FIRE ONLY                             ...   \n",
       "19               76.0  GRASS/BARKDUST/TREE FIRE                      ...   \n",
       "20               91.0  ILLEGAL BURN                                  ...   \n",
       "21               95.0  FIRE INFORMATION                              ...   \n",
       "22               11.0  AUDIBLE FIRE ALARM                            ...   \n",
       "23              115.0  POWER LINE/POLE DOWN/ARCING                   ...   \n",
       "24              476.0  LIFT ASSIST                                   ...   \n",
       "25              142.0  TRAUMA/FIRE ONLY                              ...   \n",
       "26              100.0  MISCELLANEOUS FIRE                            ...   \n",
       "27                8.0  ALLERGIES/1ST RESP                            ...   \n",
       "28              140.0  TRAUMA/1ST RESP                               ...   \n",
       "29              150.0  VEHICLE/TRAILER FIRE                          ...   \n",
       "30               26.0  BLEEDING/1ST RESP                             ...   \n",
       "31               22.0  ASSAULT/FIRE ONLY                             ...   \n",
       "32               24.0  BACK PAIN/1ST RESP                            ...   \n",
       "33              109.0  OVERDOSE/1ST RESP                             ...   \n",
       "34              138.0  TRAF ACC/FIRE ONLY                            ...   \n",
       "35              483.0  SEIZURE/1ST RESP                              ...   \n",
       "36              108.0  PREGNANCY/1ST RESP                            ...   \n",
       "37              114.0  POLICE REQUEST                                ...   \n",
       "38              126.0  SMOKE IN AREA- OUTSIDE                        ...   \n",
       "39               20.0  ASSAULT/1ST RESP                              ...   \n",
       "40               81.0  HEADACHE/1ST RESP                             ...   \n",
       "41               23.0  BEHAVIOR PROBLEM/1ST RESP                     ...   \n",
       "42              118.0  RESD FIRE (HOUSE OR DUPLEX)                   ...   \n",
       "43              127.0  SMOKE INVEST.-STRUCTURE                       ...   \n",
       "44              152.0  WATER PROBLEM                                 ...   \n",
       "45               73.0  NATURAL GAS-ODOR/INVESTIGATION                ...   \n",
       "46               60.0  ELEVATOR RESCUE                               ...   \n",
       "47              112.0  ODOR/SMELL (NO SMOKE VISIBLE)                 ...   \n",
       "48               87.0  HAZ MAT LEVEL 1 (NO FIRE/INJ)                 ...   \n",
       "49               36.0  CARBON MONOXIDE ALARM                         ...   \n",
       "\n",
       "      num  \n",
       "0   54556  \n",
       "1   51444  \n",
       "2   46407  \n",
       "3   39430  \n",
       "4   30373  \n",
       "5   24283  \n",
       "6   23352  \n",
       "7   18072  \n",
       "8   17953  \n",
       "9   16007  \n",
       "10  12257  \n",
       "11  12085  \n",
       "12  11848  \n",
       "13  11636  \n",
       "14  10421  \n",
       "15   9542  \n",
       "16   7113  \n",
       "17   6339  \n",
       "18   6114  \n",
       "19   5942  \n",
       "20   4952  \n",
       "21   4388  \n",
       "22   4370  \n",
       "23   4358  \n",
       "24   4161  \n",
       "25   3940  \n",
       "26   3820  \n",
       "27   3651  \n",
       "28   3582  \n",
       "29   3578  \n",
       "30   3440  \n",
       "31   3351  \n",
       "32   3283  \n",
       "33   3259  \n",
       "34   3212  \n",
       "35   3142  \n",
       "36   2721  \n",
       "37   2651  \n",
       "38   2642  \n",
       "39   2352  \n",
       "40   2273  \n",
       "41   2267  \n",
       "42   2262  \n",
       "43   2138  \n",
       "44   2119  \n",
       "45   2020  \n",
       "46   1871  \n",
       "47   1855  \n",
       "48   1855  \n",
       "49   1849  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2[:50]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CwsJa3788eXl5DB48GPn5+Th+/DjvXFJSEh48eAALCwvo6+tLXCsnJwc/Pz+u1woo+3wP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CGEEEI8SrGStoI9wkpCURRmzZpV4uueRfHx8dy7d49evXrpjWr5+/sTGRlJnz59WLRoEVlZWbRt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198\nwb59+/jmm28UZe61Q+E2bdqkWBOoSZMmHD9+nJMnT+qdt5SVlUVKSoric//+/SJjGzJkCPv27ePU\nqVNFtrt16xZnz55VfLRFMgoq+MNcu9zBxYsXddqmp6frxKw9b2xsLM2aNStVT0m1atUYP348P/30\nEwsWLCApKYmrV6+yfPly5s6dy7Bhw6hXr54i1qSkJJ17e/r0qby/YHwpKSlFDvnLf8zly5eJjo5m\nwIABPHjwQDF8dezYsVSpUoWhQ4fKa4slJCQwfPhwcnJymDJliuK8np6e/PHHH5w9e1YnmV+/fj1P\nnz5VbNenb9++WFhYKIqx5OTk8Ouvvyp6qdRqNfXr16dRo0a4ubnJHw8PD+rWrUtkZGSh17Czs6Nd\nu3YsWrRI3jZ9+nQuXbrEwIED+eWXX7h69f/au/ewmtI9DuDfrRuqSVRo7DGpqU21K8qly1CGGU5P\nMe46nBjMDI77cQ6RJDHGyC2jGRqRicGpEI6jQ42YNIMyjlCnRu7KpRKVes8fHuuZZRdymXZ8P8/T\nM2e/72+v912/WXP2/u211rsKcPbsWaxduxbjx49/4px/b9y4cbh+/TqOHj0qaw8JCcGDBw8wYMAA\n7NmzB7m5ucjLy0NiYiLy8vI0fkghIiIioldLKy+PfJoVK1YgJiYGMTExCA0NhYGBAZydnbFp0ya4\nuLjIYtu0aQNLS0tcvXpV9iW8devWsLCwwJUrV2r8cv7jjz9qPG/NysoKe/bsAVDzWSVra2t4enpi\n5cqViIqKqnX+0dHRGmevlixZgo4dO2ps9/HX7777Lj7++OMaVx7ctm2bRvujB4InJyfLHob9rAID\nA9G2bVtER0dj06ZN0sO1Q0ND0a9fP425Tp8+XWMbj86KlpaWynL66J64w4cPy+69e3ybffr0gUKh\nQNOmTaFUKuHp6YnAwEDZe0xNTbF161ZERkYiJCQEN27cgImJCbp3746lS5dq3JvWpUsXlJeXw9ra\nWrbi5KPFax495+/xufyerq4uJk+ejBkzZkh9x44dg6GhIdq3bw/g4WWku3fvrnXBld69e2PDhg2Y\nNm1ajf3Aw38HQ4cORVZWFtRqNdRqNXbs2IG1a9ciODgYt27dgrm5OVxcXBAUFFTrfB9/bWJigrFj\nxyIiIkLWp1QqkZCQgLVr1yIiIgJXr16Fvr4+bGxsMGbMGAwbNqzWuZL2q3zwACcu/Lde53D2Sh7c\nUfOCSERERKRJIV7Gygak1W7dugUvLy+kpqY+03PR6PmFhYWhuroawcHB9T0VIg09e/ZEeXk5IiIi\n6nsqcHJy0rgkm4iISFs9uooqOTm5XsZvkGfaqG7u3LmDWbNmsWD7A9jZ2cHZ2bm+p0FUKwMDA9ml\n4kRERKT9WLS9AaKiolBSUoKAgIAa+318fBAYGIiRI0dKry9fviyLadWqFZYsWYKRI0dCoVDUeB+a\nQqHAxo0bn/iFcO7cudixYweWL1+O3r17y/ru37+PyMhI7Nu3D9euXYOhoSFsbGwwatQoaWGPixcv\nIiIiAseOHcOdO3dgamoKBwcHzJgxA1ZWVgAeLqcfGRkp/SJy7NgxREZGIjs7G+Xl5WjZsiU6duyI\n0NBQBAcHS6tn1rRPb7/9dp1+UXnZz+kjetnKy8uRkZFRb+PzDBsREVHdsWijGk2ZMkVWgDRq1AjG\nxsZIS0uT2sLCwnD37l0sXrxYKngef5bd792/fx979+7FmDFjsG3bNo2iLTg4GKdOnUJwcDCsra1x\n+/ZtnDhxArdv3wYAPHjwAKNHj0a7du0QGRkJc3NzXL16FampqbWumpibm4uxY8di5MiRmDt3LgwM\nDPDbb79h//79EEIgKChI9hgEDw8PLF68WLr3jotu0OumvLgUN384Ui9jn73yGzAZPNNHRERURyza\nqEZNmzatcXGQ37c1btwYlZWVz3zZ5d69e2FjY4Nx48bBy8sL165dkz3L7ODBgwgKCpIKJktLS3To\n0EHqz8nJwYULFxATE4PWrVsDeLigzOOLz/ze4cOHYW5uLlsg5dFiJgCgr68PIyMj2XuMjY1rXRiF\nqKHT09GDS1vb+p4GERER1QFPI9AfZseOHfD394eRkRG8vLzwz3/+U9ZvZmaG1NRU3L17t8b3m5qa\nQkdHB/v27UN1dfUzjWlubo4bN27g559/fuH5ExERERHVBxZtVKOlS5fCxcUFLi4u6NixI2JjY19o\ne/n5+cjMzETfvn0BAH5+fhpF24IFC3DixAl06dIFAwcOxKJFi3D8+HGpv2XLlggKCsLKlSvh5uaG\nv/zlL1izZg0KCgpqHfejjz7Cn/70J4wYMQKenp6YOHEiNm/erPFAbCIiIiIibcWijWr0ySefYOfO\nndi5cycSExM1nslWVzt27ICnp6d0z9v777+P4uJipKenSzGurq44cOAAYmJi8NFHHyEnJwcBAQH4\n+uuvpZjhw4cjLS0NX331FVxcXPCvf/0Lvr6+Gg+IfqRRo0YIDw9HSkoKZs6ciVatWmHt2rXw9fVF\nYWHhC+0TEREREdEfgUUb1cjU1BRKpVL6e/y+r7qorq5GQkICUlJSYG9vD3t7e7i4uKC4uBjbt2+X\nxero6KBTp04YM2YM1q9fj0mTJmHNmjV48OCBFNO0aVP06NEDU6ZMQWJiIlxdXbFmzZonzsHCwgJ+\nfn6YM2cO9uzZg/LycmzZsuW594mIiIiI6I/ChUjolTt06BDKysqQkJAgW43x3LlzmD17NkpKSmBs\nbFzje62trVFVVYXy8nLo6tZ8uFpZWeHkyZPPPB9jY2OYm5ujrKysbjtCRERERFQPWLS9IYqLi5Gd\nnS1ra9asGVq1avXKx96+fTt69OgBW1v5inXW1tYIDw/Hrl27MHz4cIwYMQK+vr5wcHBAs2bNkJOT\ng4iICHTt2hWGhobIzs7GypUr4e/vDxsbG+jp6SE9PR07duzAp59+WuPYW7duxZkzZ9CrVy+88847\nKC8vR3x8PHJzcxEcHPzK952IiIiI6EWxaHtDZGRkoH///rK2gQMHYsGCBVAoFLL2x1+/iKKiIqSm\npmLZsmUafQqFAr169cL27dsxfPhweHl5ISEhAREREbh//z4sLCzg7e2N8ePHA3i4EEmbNm0QGRmJ\nS5cuQaFQ4O2338bkyZMRGBhY4/zVajWOHz+OkJAQXL9+HU2bNoWNjQ3WrFkDV1fXGudERERERKRN\nFOLRU5GJiOi11rNnTxTfKELYh6PqZfyzV35Dt8nD+HBtIiJqcHr27AkASE5OrpfxWbQREb0h1Go1\nKisr6/Xh8fr6+jyjTUREDc6VK1ego6ODU6dO1cv4vDySiOgNoa+vDyEEDAwM6nsqREREDYquri70\n9fXrbXyeaSMiIiIiItJifE4bERERERGRFmPRRkREREREpMVYtBEREREREWkxFm1ERERERERajEUb\nERERERGRFmPRRkREREREpMVYtBEREREREWkxFm1ERERERERajEUbERERERGRFmPRRkT0hti8eTN8\nfHygVqsxePBgZGVl1feUXomff/4Zn332Gby8vKBSqZCcnKwRs2LFCnh6esLJyQmjRo3Cb7/9Juu/\nc+cOpk+fjk6dOsHNzQ1BQUEoKyuTxWRnZyMgIABqtRre3t5Yt26dxjh79+5Fnz59oFar4efnh5SU\nlJe7sy9JVFQUBg4ciI4dO8Ld3R0TJkxAXl6eLKaiogLz589Hly5d4OLigkmTJqGoqEgWc+XKFYwb\nNw7Ozs7w8PDAkiVLUF1dLYtJT0/Hxx9/DEdHR3z44YeIj4/XmE9DOVbj4uLg5+eHTp06oVOnThg6\ndChSU1Olfubs6aKioqBSqbBo0SKpjXnTtHr1aqhUKtlf3759pX7mrGbXrl3D3/72N3Tp0gVOTk7w\n8/PD6dOnZTEN5vNAEBHRay8pKUk4ODiI+Ph4kZOTI+bOnSvc3NxEUVFRfU/tpUtJSRHLly8X//73\nv4VKpRIHDhyQ9UdFRQk3NzeRnJwszp49Kz7//HPRs2dPUV5eLsV88sknol+/fiIrK0v88ssvonfv\n3mL69OlSf0lJifDw8BAzZ84UOTk5IikpSTg5OYkffvhBijl+/Ljo0KGDiI6OFrm5uWLFihXC3t5e\nnD9//tUnoY7GjBkjHRvZ2dli3LhxwtvbW9y7d0+KCQ4OFt7e3iI9PV2cPn1aDBkyRAwbNkzqr6qq\nEr6+vmL06NEiOztbpKamiq5du4ply5ZJMQUFBcLZ2Vl88cUXIjc3V8TGxooOHTqIw4cPSzEN6Vg9\nePCgSElJEfn5+SI/P18sW7ZM2Nvbi5ycHCEEc/Y0mZmZwsfHR/j7+4vw8HCpnXnTtGrVKuHr6yuK\niopEYWGhKCwsFLdu3ZL6mTNNd+7cEd7e3mL27Nni1KlT4uLFiyItLU1cuHBBimlInwcs2oiI3gCD\nBg0SCxYskF5XV1cLLy8v8c0339TjrF49Ozs7jaLNw8NDfPfdd9LrkpIS4ejoKJKSkoQQQuTk5Ag7\nOztx+vRpKSY1NVW0b99eXL9+XQghxObNm0Xnzp1FZWWlFLN06VLRp08f6fWUKVPEp59+Kht78ODB\nYt68eS9r916ZoqIiYWdnJzIyMoQQD3Nkb28v9u/fL8Xk5uYKOzs7kZmZKYQQ4tChQ6JDhw6yL29x\ncXHC1dVVytOSJUuEr6+vbKypU6eKMWPGSK8b+rHauXNnsX37dubsKUpLS0Xv3r3FkSNHxJ///Gep\naGPearZq1SrRr1+/GvuYs5p9+eWXIiAg4IkxDenzgJdHEhG95iorK3H69Gl069ZNalMoFHB3d8fJ\nkyfrcWZ/vIKCAhQWFqJr165Sm5GREZycnKRcnDx5EiYmJujQoYMU4+7uDoVCgczMTABAZmYm3Nzc\noKurK8V4enoiLy8PJSUl0nbc3d1l43t6ejaInJeUlEChUKBZs2YAgF9//RVVVVWyY6hdu3awtLTE\niRMnADzMia2tLZo3by7FeHp6oqSkBDk5OVLMk3LSkI/V6upqJCUl4d69e3B2dmbOniI0NBQ+Pj6y\neQPAqVOnmLda5Ofnw8vLCx988AFmzJiBK1euAOB/n7U5ePAgHBwcMHnyZLi7u6N///7Ytm2b1N/Q\nPg9YtBERveZu3bqFqqoqmJmZydpbtGiBwsLCeppV/SgsLIRCoXhiLgoLC2VfbABAR0cHJiYmspgW\nLVrIYh5t88aNG9I/G2LOhRAIDw9Hp06dYGNjA+Dh/urp6cHIyEgW+3jeniUnj8e0aNECpaWlqKio\naJDH6rlz5+Di4gJHR0fMnz8fq1evhrW1NXP2BElJSThz5gymTZum0VdUVMS81cDJyQmLFy/G+vXr\nMX/+fFy8eBEBAQEoKyvjsVaLgoICxMXFwcrKCtHR0Rg6dCjCwsKQmJgIoOF9Hug+PYSIiF5HQggo\nFIr6noZWeJZcPC1GPLzl4Kkx2i4kJAQ5OTn4/vvvnxr7rMfQix5n2nystmvXDjt37kRxcTH279+P\nv//974iNja01/k3P2dWrVxEeHo7o6Gjo6ek98/ve9Lx5eXlJ/9vW1lZa8GLv3r0wMDCo8T1ves6q\nq6uhVqsxZcoUAIBKpcL58+cRFxcHf3//Wt+nrZ8HPNNGRPSaMzU1hY6OjsYvejdv3tT4dfB1Z2Zm\nBiHEE3NhZmaGmzdvyvqrqqpQXFws/VJqZmamsTJbUVGR7Fdbc3PzGsd5/NdWbRIaGorU1FRs2rQJ\nLVu2lNrNzMxQWVmJ0tJSWfzjeXs8J4/2//c5qSlvRkZG0NfXb5DHqq6uLpRKJezt7TF16lSoVCps\n3LiROavFr7/+ips3b2LAgAGwt7eHvb09MjIysHHjRjg4OKBFixaoqKhg3p7C2NgY7777Li5cuMBj\nrRYWFhawtraWtVlbW0uXlTa0zwMWbURErzk9PT3Y29vj6NGjUpsQAkePHoWLi0s9zuyPp1QqYWZm\nhp9++klqKy0tRWZmppQLZ2dnFBcX47///a8Uc/To7EqsnQAACKpJREFUUQghoFarpZiMjAxUVVVJ\nMWlpabCysoKxsbEU8/ucP4pxdnZ+Zfv3IkJDQ5GcnIyNGzfC0tJS1ufg4AAdHR3Z/uTl5eHy5cuy\nvJ07d072BSctLQ3GxsbSF6en5eR1OFarq6tRUVHBnNXC3d0du3btQkJCAhITE5GYmAgHBwf4+fkh\nMTERjo6O0NXVZd6e4u7duygoKICFhQWPtVq4uLhoPLokLy9P+v+3hvZ5oBMSEhLyzNFERNQgGRoa\nYsWKFWjdujX09PSwfPlynD17FgsXLkSTJk3qe3ovVVlZGXJzc3Hjxg1s3boVarUajRs3RmVlJYyN\njVFVVYVvvvkG1tbWqKioQFhYGCoqKjBnzhzo6OigefPmyMzMRFJSEtq3b4+LFy9i3rx58PLyQr9+\n/QAAVlZWiIuLw/nz52FlZYWffvoJERERmDRpEuzt7QEALVu2xPLly9GkSROYmJggNjYW+/btQ3h4\nuMY9EvUtJCQEu3fvxsqVK2Fubo6ysjKUlZVBR0cHurq60NfXx/Xr17F582aoVCrcvn0b8+bNg6Wl\nJcaPHw/g4Reg/fv348iRI7C1tcWZM2cQFhaGYcOGwcPDAwDwzjvvYO3atSgpKUHr1q2xZ88ebNiw\nAcHBwVAqlQAa1rEaEREBPT09CCFw9epVbNiwAbt378bMmTNhbW3NnNVAT08PzZs3l/3t2rULSqUS\nfn5+PNZq8cUXX0iXQebk5CAkJAQ3b95ESEgITExMmLMaWFpaIjIyEjo6OrCwsEBqaioiIyMxZcoU\n2NraAkDD+jx45nUmiYioQYuNjRXe3t7C0dFRDB48WGRlZdX3lF6J9PR0YWdnJ1QqlezvH//4hxSz\ncuVK4eHhIdRqtRg9erTIz8+XbePOnTti+vTpomPHjsLV1VUEBQWJsrIyWUx2drYICAgQarVadO/e\nXaxbt05jLvv27RMffvihcHR0FL6+viI1NfXV7PQLqilfKpVKxMfHSzHl5eUiNDRUdO7cWTg7O4u/\n/vWvorCwULady5cvi3HjxglnZ2fRrVs3sWTJElFVVSWLSU9PF/379xeOjo6iV69esjEeaSjH6uzZ\ns4WPj49wdHQU7u7uYtSoUeLIkSNSP3P2bEaMGCF7Thvzpmnq1KnCy8tLODo6iu7du4tp06bJnjfG\nnNXs0KFDwtfXV6jVatG3b1+xbds2jZiG8nmgEKIB3BVNRERERET0huI9bURERERERFqMRRsRERER\nEZEWY9FGRERERESkxVi0ERERERERaTEWbURERERERFqMRRsREREREZEWY9FGRERERESkxVi0ERER\nERERaTEWbURERERERFqMRRsREREREZEW063vCRARERE1RAUFBfj2229x5MgRXL9+HXp6erC1tUWf\nPn0wZMgQGBgY1Ov8vv/+ezRp0gT9+/ev13kQ0Ytj0UZERERURykpKZg8eTIMDAzg7++P9957D5WV\nlfjll1/w5ZdfIicnB6GhofU6x7i4OJiamrJoI3oNsGgjIiIiqoOLFy9i6tSpaNOmDWJiYtCiRQup\nb/jw4SgoKMChQ4fqb4JE9NrhPW1EREREdfDtt9/i3r17WLhwoaxge0SpVGLEiBEAgKqqKkRGRqJX\nr15wdHSEj48PIiIiUFFRIXuPSqXC6tWrNbbl4+ODWbNmSa/j4+OhUqlw/PhxLFq0CN26dYOLiwsm\nTpyImzdvyt53/vx5HDt2DCqVCiqVCiNHjnxZKSCiPxjPtBERERHVwaFDh6BUKuHk5PTU2KCgICQk\nJKBPnz4YPXo0srKyEBUVhf/9739YtWrVc88hLCwMJiYmmDhxIi5duoSYmBiEhYVh2bJl0rgLFiyA\noaEhPv/8cwghYGZm9tzjEVH9YtFGRERE9IxKS0tx7do1fPDBB0+Nzc7ORkJCAgYPHizd3zZs2DCY\nmpriu+++w7Fjx9C5c+fnmoepqSnWr18vva6urkZsbCxKS0thZGSEnj17Yvny5TA1NYWvr+9zjUFE\n2oOXRxIRERE9o7t37wIADA0NnxqbmpoKhUKBwMBAWfvo0aMhhHju+94UCgWGDBkia3N1dUVVVRUu\nX778XNskIu3Goo2IiIjoGT0q1h4Vb09y6dIlNGrUCG3btpW1m5mZ4a233nqhAqtVq1ay12+99RYA\noLi4+Lm3SUTai0UbERER0TMyMjKChYUFzp0799RYIQSAh2fGnld1dXWN7To6Ok8ck4heLyzaiIiI\niOqgR48eKCgoQGZm5hPj2rRpg+rqauTn58vai4qKUFxcDEtLS6nNxMQEJSUlsrjKykrcuHHjpc2b\niBouFm1EREREdTB27Fg0btwYc+bMQVFRkUb/hQsXsHHjRrz//vsQQiAmJkbWHx0dDYVCgR49ekht\nSqUSGRkZsrgtW7agqqrquefZtGlTjUKQiBomrh5JREREVAdKpRJfffUVpk2bhr59+8Lf3x/vvfce\nKisrceLECezbtw8DBgzAyJEj0b9/f/zwww8oLi6Gm5sbsrKykJCQgN69e8tWjhw0aBDmzZuHSZMm\nwd3dHdnZ2UhLS0Pz5s01xq/tEsjH2+3t7bFlyxZ8/fXXaNu2LZo3b46uXbu+3GQQ0R+CRRsRERFR\nHfn4+GDnzp1Yt24d/vOf/2DLli3Q19eHnZ0dZs2ahUGDBgEAFi5cCKVSifj4eBw4cADm5ub47LPP\nMGHCBNn2Bg8ejEuXLmH79u348ccf4ebmhujoaAQGBmrcE1fbPXKPt0+YMAGXL1/G+vXrcffuXbi5\nubFoI2qgFIJ3rBIREREREWkt3tNGRERERESkxVi0ERERERERaTEWbURERERERFqMRRsREREREZEW\nY9FGRERERESkxVi0ERERERERaTEWbURERERERFqMRRsREREREZEWY9FGRERERESkxVi0ERERERER\naTEWbURERERERFqMRRsREREREZEWY9FGRERERESkxf4P2coCrfdlVRAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff00d4848d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(\"white\") \n",
    "brplot =  sns.barplot(x=\"num\", y=\"description\", data=df2[:25])\n",
    "title = ('Incidents sorted by Top 25 typenaturecode')\n",
    "# Add title with space below for x-axix ticks and label\n",
    "brplot.set_title(title, fontsize=15, y=1.06)\n",
    "brplot.set_ylabel('Nature Code Type', fontsize=12, rotation=90) # rota\n",
    "brplot.set_xlabel('Count', fontsize=12)\n",
    "brplot.tick_params(axis='both', labelsize=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}