data analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Unnamed: 0</th>\n",
       "      <th>GHO (CODE)</th>\n",
       "      <th>GHO (DISPLAY)</th>\n",
       "      <th>GHO (URL)</th>\n",
       "      <th>PUBLISHSTATE (CODE)</th>\n",
       "      <th>PUBLISHSTATE (DISPLAY)</th>\n",
       "      <th>PUBLISHSTATE (URL)</th>\n",
       "      <th>YEAR (CODE)</th>\n",
       "      <th>YEAR (DISPLAY)</th>\n",
       "      <th>YEAR (URL)</th>\n",
       "      <th>...</th>\n",
       "      <th>SEX (CODE)</th>\n",
       "      <th>SEX (DISPLAY)</th>\n",
       "      <th>SEX (URL)</th>\n",
       "      <th>Display Value</th>\n",
       "      <th>Numeric</th>\n",
       "      <th>Low</th>\n",
       "      <th>High</th>\n",
       "      <th>StdErr</th>\n",
       "      <th>StdDev</th>\n",
       "      <th>Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>WHOSIS_000001</td>\n",
       "      <td>Life expectancy at birth (years)</td>\n",
       "      <td>https://www.who.int/data/gho/indicator-metadat...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2000</td>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>MLE</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>42.99474</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>WHOSIS_000001</td>\n",
       "      <td>Life expectancy at birth (years)</td>\n",
       "      <td>https://www.who.int/data/gho/indicator-metadat...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2002</td>\n",
       "      <td>2002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>FMLE</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.5</td>\n",
       "      <td>51.45327</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>WHOSIS_000015</td>\n",
       "      <td>Life expectancy at age 60 (years)</td>\n",
       "      <td>https://www.who.int/data/gho/indicator-metadat...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2002</td>\n",
       "      <td>2002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>FMLE</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.5</td>\n",
       "      <td>15.50821</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>WHOSIS_000001</td>\n",
       "      <td>Life expectancy at birth (years)</td>\n",
       "      <td>https://www.who.int/data/gho/indicator-metadat...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2002</td>\n",
       "      <td>2002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>BTSX</td>\n",
       "      <td>Both sexes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.8</td>\n",
       "      <td>48.76327</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>WHOSIS_000015</td>\n",
       "      <td>Life expectancy at age 60 (years)</td>\n",
       "      <td>https://www.who.int/data/gho/indicator-metadat...</td>\n",
       "      <td>PUBLISHED</td>\n",
       "      <td>Published</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2002</td>\n",
       "      <td>2002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>BTSX</td>\n",
       "      <td>Both sexes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.8</td>\n",
       "      <td>14.76297</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0     GHO (CODE)                      GHO (DISPLAY)  \\\n",
       "0           0  WHOSIS_000001   Life expectancy at birth (years)   \n",
       "1           1  WHOSIS_000001   Life expectancy at birth (years)   \n",
       "2           2  WHOSIS_000015  Life expectancy at age 60 (years)   \n",
       "3           3  WHOSIS_000001   Life expectancy at birth (years)   \n",
       "4           4  WHOSIS_000015  Life expectancy at age 60 (years)   \n",
       "\n",
       "                                           GHO (URL) PUBLISHSTATE (CODE)  \\\n",
       "0  https://www.who.int/data/gho/indicator-metadat...           PUBLISHED   \n",
       "1  https://www.who.int/data/gho/indicator-metadat...           PUBLISHED   \n",
       "2  https://www.who.int/data/gho/indicator-metadat...           PUBLISHED   \n",
       "3  https://www.who.int/data/gho/indicator-metadat...           PUBLISHED   \n",
       "4  https://www.who.int/data/gho/indicator-metadat...           PUBLISHED   \n",
       "\n",
       "  PUBLISHSTATE (DISPLAY)  PUBLISHSTATE (URL)  YEAR (CODE)  YEAR (DISPLAY)  \\\n",
       "0              Published                 NaN         2000            2000   \n",
       "1              Published                 NaN         2002            2002   \n",
       "2              Published                 NaN         2002            2002   \n",
       "3              Published                 NaN         2002            2002   \n",
       "4              Published                 NaN         2002            2002   \n",
       "\n",
       "   YEAR (URL)  ... SEX (CODE) SEX (DISPLAY)  SEX (URL) Display Value  \\\n",
       "0         NaN  ...        MLE          Male        NaN          43.0   \n",
       "1         NaN  ...       FMLE        Female        NaN          51.5   \n",
       "2         NaN  ...       FMLE        Female        NaN          15.5   \n",
       "3         NaN  ...       BTSX    Both sexes        NaN          48.8   \n",
       "4         NaN  ...       BTSX    Both sexes        NaN          14.8   \n",
       "\n",
       "    Numeric  Low High StdErr  StdDev  Comments  \n",
       "0  42.99474  NaN  NaN    NaN     NaN       NaN  \n",
       "1  51.45327  NaN  NaN    NaN     NaN       NaN  \n",
       "2  15.50821  NaN  NaN    NaN     NaN       NaN  \n",
       "3  48.76327  NaN  NaN    NaN     NaN       NaN  \n",
       "4  14.76297  NaN  NaN    NaN     NaN       NaN  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data=pd.read_csv(\"/home/sakshi/Desktop/flask/who.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
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       "      <td>43.0</td>\n",
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       "      <td>1</td>\n",
       "      <td>51.5</td>\n",
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       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>15.5</td>\n",
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       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>48.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>14.8</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "   Unnamed: 0  Display Value\n",
       "0           0           43.0\n",
       "1           1           51.5\n",
       "2           2           15.5\n",
       "3           3           48.8\n",
       "4           4           14.8"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col=['Unnamed: 0','Display Value']\n",
    "data=pd.read_csv(\"/home/sakshi/Desktop/flask/who.csv\")\n",
    "data[col].head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "new=pd.read_csv(\"/home/sakshi/Desktop/data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
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       "      <th>tiv_2012</th>\n",
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       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>line</th>\n",
       "      <th>construction</th>\n",
       "      <th>point_granularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>FL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>792148.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9979.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>-81.711777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>FL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1438163.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063936</td>\n",
       "      <td>-81.707664</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>192476.78</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.089579</td>\n",
       "      <td>-81.700455</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>333743</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>86854.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063236</td>\n",
       "      <td>-81.707703</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>172534</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.5</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>246144.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.060614</td>\n",
       "      <td>-81.702675</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   policyID statecode       county  eq_site_limit  hu_site_limit  \\\n",
       "0    119736        FL          NaN       498960.0      498960.00   \n",
       "1    448094        FL          NaN      1322376.3     1322376.30   \n",
       "2    206893        FL  CLAY COUNTY       190724.4      190724.40   \n",
       "3    333743        FL  CLAY COUNTY            0.0       79520.76   \n",
       "4    172534        FL  CLAY COUNTY            0.0      254281.50   \n",
       "\n",
       "   fl_site_limit  fr_site_limit    tiv_2011    tiv_2012  eq_site_deductible  \\\n",
       "0       498960.0       498960.0   498960.00   792148.90                 0.0   \n",
       "1      1322376.3      1322376.3  1322376.30  1438163.57                 0.0   \n",
       "2       190724.4       190724.4   190724.40   192476.78                 0.0   \n",
       "3            0.0            0.0    79520.76    86854.48                 0.0   \n",
       "4            0.0       254281.5   254281.50   246144.49                 0.0   \n",
       "\n",
       "   hu_site_deductible  fl_site_deductible  fr_site_deductible  point_latitude  \\\n",
       "0              9979.2                 0.0                   0       30.102261   \n",
       "1                 0.0                 0.0                   0       30.063936   \n",
       "2                 0.0                 0.0                   0       30.089579   \n",
       "3                 0.0                 0.0                   0       30.063236   \n",
       "4                 0.0                 0.0                   0       30.060614   \n",
       "\n",
       "   point_longitude         line construction  point_granularity  \n",
       "0       -81.711777  Residential      Masonry                  1  \n",
       "1       -81.707664  Residential      Masonry                  3  \n",
       "2       -81.700455  Residential         Wood                  1  \n",
       "3       -81.707703  Residential         Wood                  3  \n",
       "4       -81.702675  Residential         Wood                  1  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>333743</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>172534</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   policyID       county\n",
       "0    119736          NaN\n",
       "1    448094          NaN\n",
       "2    206893  CLAY COUNTY\n",
       "3    333743  CLAY COUNTY\n",
       "4    172534  CLAY COUNTY"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col=[\"policyID\",\"county\"]\n",
    "new=pd.read_csv(\"/home/sakshi/Desktop/data.csv\")\n",
    "new[col].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "policyID                int64\n",
       "statecode              object\n",
       "county                 object\n",
       "eq_site_limit         float64\n",
       "hu_site_limit         float64\n",
       "fl_site_limit         float64\n",
       "fr_site_limit         float64\n",
       "tiv_2011              float64\n",
       "tiv_2012              float64\n",
       "eq_site_deductible    float64\n",
       "hu_site_deductible    float64\n",
       "fl_site_deductible    float64\n",
       "fr_site_deductible      int64\n",
       "point_latitude        float64\n",
       "point_longitude       float64\n",
       "line                   object\n",
       "construction           object\n",
       "point_granularity       int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#value type\n",
    "new.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>policyID</th>\n",
       "      <th>eq_site_limit</th>\n",
       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
       "      <th>fr_site_limit</th>\n",
       "      <th>tiv_2011</th>\n",
       "      <th>tiv_2012</th>\n",
       "      <th>eq_site_deductible</th>\n",
       "      <th>hu_site_deductible</th>\n",
       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>point_granularity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>36634.000000</td>\n",
       "      <td>3.663400e+04</td>\n",
       "      <td>3.663400e+04</td>\n",
       "      <td>3.663400e+04</td>\n",
       "      <td>3.663400e+04</td>\n",
       "      <td>3.663400e+04</td>\n",
       "      <td>3.663400e+04</td>\n",
       "      <td>3.663400e+04</td>\n",
       "      <td>3.663400e+04</td>\n",
       "      <td>36634.000000</td>\n",
       "      <td>36634.000000</td>\n",
       "      <td>36634.000000</td>\n",
       "      <td>36634.000000</td>\n",
       "      <td>36634.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>548661.937189</td>\n",
       "      <td>7.314780e+05</td>\n",
       "      <td>2.074348e+06</td>\n",
       "      <td>6.646009e+05</td>\n",
       "      <td>9.911724e+05</td>\n",
       "      <td>2.172875e+06</td>\n",
       "      <td>2.571004e+06</td>\n",
       "      <td>7.787908e+02</td>\n",
       "      <td>7.037985e+03</td>\n",
       "      <td>192.453210</td>\n",
       "      <td>26.483594</td>\n",
       "      <td>28.087477</td>\n",
       "      <td>-81.903565</td>\n",
       "      <td>1.640907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>259912.926494</td>\n",
       "      <td>1.752300e+07</td>\n",
       "      <td>1.964150e+07</td>\n",
       "      <td>1.746114e+07</td>\n",
       "      <td>1.767178e+07</td>\n",
       "      <td>2.015015e+07</td>\n",
       "      <td>2.036777e+07</td>\n",
       "      <td>4.787979e+04</td>\n",
       "      <td>9.582593e+04</td>\n",
       "      <td>8037.713716</td>\n",
       "      <td>4702.740932</td>\n",
       "      <td>1.647734</td>\n",
       "      <td>1.809066</td>\n",
       "      <td>1.070561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>100074.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>9.000000e+01</td>\n",
       "      <td>7.337000e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>24.547514</td>\n",
       "      <td>-87.447290</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>323647.750000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>4.248106e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>4.562415e+04</td>\n",
       "      <td>5.401351e+04</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>26.471996</td>\n",
       "      <td>-82.439331</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>548525.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.926911e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.021051e+05</td>\n",
       "      <td>2.416310e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>28.057077</td>\n",
       "      <td>-81.585700</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>774252.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>9.163381e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>5.741010e+04</td>\n",
       "      <td>9.465821e+05</td>\n",
       "      <td>1.128871e+06</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>29.623005</td>\n",
       "      <td>-80.372910</td>\n",
       "      <td>3.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>999971.000000</td>\n",
       "      <td>2.160000e+09</td>\n",
       "      <td>2.160000e+09</td>\n",
       "      <td>2.160000e+09</td>\n",
       "      <td>2.160000e+09</td>\n",
       "      <td>2.160000e+09</td>\n",
       "      <td>1.701000e+09</td>\n",
       "      <td>6.273765e+06</td>\n",
       "      <td>7.380000e+06</td>\n",
       "      <td>450000.000000</td>\n",
       "      <td>900000.000000</td>\n",
       "      <td>30.989820</td>\n",
       "      <td>-80.033257</td>\n",
       "      <td>7.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            policyID  eq_site_limit  hu_site_limit  fl_site_limit  \\\n",
       "count   36634.000000   3.663400e+04   3.663400e+04   3.663400e+04   \n",
       "mean   548661.937189   7.314780e+05   2.074348e+06   6.646009e+05   \n",
       "std    259912.926494   1.752300e+07   1.964150e+07   1.746114e+07   \n",
       "min    100074.000000   0.000000e+00   0.000000e+00   0.000000e+00   \n",
       "25%    323647.750000   0.000000e+00   4.248106e+04   0.000000e+00   \n",
       "50%    548525.000000   0.000000e+00   1.926911e+05   0.000000e+00   \n",
       "75%    774252.000000   0.000000e+00   9.163381e+05   0.000000e+00   \n",
       "max    999971.000000   2.160000e+09   2.160000e+09   2.160000e+09   \n",
       "\n",
       "       fr_site_limit      tiv_2011      tiv_2012  eq_site_deductible  \\\n",
       "count   3.663400e+04  3.663400e+04  3.663400e+04        3.663400e+04   \n",
       "mean    9.911724e+05  2.172875e+06  2.571004e+06        7.787908e+02   \n",
       "std     1.767178e+07  2.015015e+07  2.036777e+07        4.787979e+04   \n",
       "min     0.000000e+00  9.000000e+01  7.337000e+01        0.000000e+00   \n",
       "25%     0.000000e+00  4.562415e+04  5.401351e+04        0.000000e+00   \n",
       "50%     0.000000e+00  2.021051e+05  2.416310e+05        0.000000e+00   \n",
       "75%     5.741010e+04  9.465821e+05  1.128871e+06        0.000000e+00   \n",
       "max     2.160000e+09  2.160000e+09  1.701000e+09        6.273765e+06   \n",
       "\n",
       "       hu_site_deductible  fl_site_deductible  fr_site_deductible  \\\n",
       "count        3.663400e+04        36634.000000        36634.000000   \n",
       "mean         7.037985e+03          192.453210           26.483594   \n",
       "std          9.582593e+04         8037.713716         4702.740932   \n",
       "min          0.000000e+00            0.000000            0.000000   \n",
       "25%          0.000000e+00            0.000000            0.000000   \n",
       "50%          0.000000e+00            0.000000            0.000000   \n",
       "75%          0.000000e+00            0.000000            0.000000   \n",
       "max          7.380000e+06       450000.000000       900000.000000   \n",
       "\n",
       "       point_latitude  point_longitude  point_granularity  \n",
       "count    36634.000000     36634.000000       36634.000000  \n",
       "mean        28.087477       -81.903565           1.640907  \n",
       "std          1.647734         1.809066           1.070561  \n",
       "min         24.547514       -87.447290           1.000000  \n",
       "25%         26.471996       -82.439331           1.000000  \n",
       "50%         28.057077       -81.585700           1.000000  \n",
       "75%         29.623005       -80.372910           3.000000  \n",
       "max         30.989820       -80.033257           7.000000  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(36634, 18)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>policyID</th>\n",
       "      <th>statecode</th>\n",
       "      <th>county</th>\n",
       "      <th>eq_site_limit</th>\n",
       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
       "      <th>fr_site_limit</th>\n",
       "      <th>tiv_2011</th>\n",
       "      <th>tiv_2012</th>\n",
       "      <th>eq_site_deductible</th>\n",
       "      <th>hu_site_deductible</th>\n",
       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>line</th>\n",
       "      <th>construction</th>\n",
       "      <th>point_granularity</th>\n",
       "      <th>policyID and co</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>FL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>792148.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9979.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102261</td>\n",
       "      <td>-81.711777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>FL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1438163.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063936</td>\n",
       "      <td>-81.707664</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>192476.78</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.089579</td>\n",
       "      <td>-81.700455</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>206893 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>333743</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>86854.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063236</td>\n",
       "      <td>-81.707703</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>333743 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   policyID statecode       county  eq_site_limit  hu_site_limit  \\\n",
       "0    119736        FL          NaN       498960.0      498960.00   \n",
       "1    448094        FL          NaN      1322376.3     1322376.30   \n",
       "2    206893        FL  CLAY COUNTY       190724.4      190724.40   \n",
       "3    333743        FL  CLAY COUNTY            0.0       79520.76   \n",
       "\n",
       "   fl_site_limit  fr_site_limit    tiv_2011    tiv_2012  eq_site_deductible  \\\n",
       "0       498960.0       498960.0   498960.00   792148.90                 0.0   \n",
       "1      1322376.3      1322376.3  1322376.30  1438163.57                 0.0   \n",
       "2       190724.4       190724.4   190724.40   192476.78                 0.0   \n",
       "3            0.0            0.0    79520.76    86854.48                 0.0   \n",
       "\n",
       "   hu_site_deductible  fl_site_deductible  fr_site_deductible  point_latitude  \\\n",
       "0              9979.2                 0.0                   0       30.102261   \n",
       "1                 0.0                 0.0                   0       30.063936   \n",
       "2                 0.0                 0.0                   0       30.089579   \n",
       "3                 0.0                 0.0                   0       30.063236   \n",
       "\n",
       "   point_longitude         line construction  point_granularity  \\\n",
       "0       -81.711777  Residential      Masonry                  1   \n",
       "1       -81.707664  Residential      Masonry                  3   \n",
       "2       -81.700455  Residential         Wood                  1   \n",
       "3       -81.707703  Residential         Wood                  3   \n",
       "\n",
       "      policyID and co  \n",
       "0                 NaN  \n",
       "1                 NaN  \n",
       "2  206893 CLAY COUNTY  \n",
       "3  333743 CLAY COUNTY  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#joining two rows\n",
    "import numpy as np\n",
    "new[\"policyID and co\"]=new[\"policyID\"].astype(str) +\" \"+ new[\"county\"]\n",
    "new.head(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>policyID</th>\n",
       "      <th>county</th>\n",
       "      <th>eq_site_limit</th>\n",
       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
       "      <th>fr_site_limit</th>\n",
       "      <th>tiv_2011</th>\n",
       "      <th>tiv_2012</th>\n",
       "      <th>eq_site_deductible</th>\n",
       "      <th>hu_site_deductible</th>\n",
       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>line</th>\n",
       "      <th>construction</th>\n",
       "      <th>point_granularity</th>\n",
       "      <th>policyID and co</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>NaN</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>792148.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9979.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102261</td>\n",
       "      <td>-81.711777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1438163.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063936</td>\n",
       "      <td>-81.707664</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>192476.78</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.089579</td>\n",
       "      <td>-81.700455</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>206893 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>333743</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>86854.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063236</td>\n",
       "      <td>-81.707703</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>333743 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>172534</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.5</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>246144.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.060614</td>\n",
       "      <td>-81.702675</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>172534 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   policyID       county  eq_site_limit  hu_site_limit  fl_site_limit  \\\n",
       "0    119736          NaN       498960.0      498960.00       498960.0   \n",
       "1    448094          NaN      1322376.3     1322376.30      1322376.3   \n",
       "2    206893  CLAY COUNTY       190724.4      190724.40       190724.4   \n",
       "3    333743  CLAY COUNTY            0.0       79520.76            0.0   \n",
       "4    172534  CLAY COUNTY            0.0      254281.50            0.0   \n",
       "\n",
       "   fr_site_limit    tiv_2011    tiv_2012  eq_site_deductible  \\\n",
       "0       498960.0   498960.00   792148.90                 0.0   \n",
       "1      1322376.3  1322376.30  1438163.57                 0.0   \n",
       "2       190724.4   190724.40   192476.78                 0.0   \n",
       "3            0.0    79520.76    86854.48                 0.0   \n",
       "4       254281.5   254281.50   246144.49                 0.0   \n",
       "\n",
       "   hu_site_deductible  fl_site_deductible  fr_site_deductible  point_latitude  \\\n",
       "0              9979.2                 0.0                   0       30.102261   \n",
       "1                 0.0                 0.0                   0       30.063936   \n",
       "2                 0.0                 0.0                   0       30.089579   \n",
       "3                 0.0                 0.0                   0       30.063236   \n",
       "4                 0.0                 0.0                   0       30.060614   \n",
       "\n",
       "   point_longitude         line construction  point_granularity  \\\n",
       "0       -81.711777  Residential      Masonry                  1   \n",
       "1       -81.707664  Residential      Masonry                  3   \n",
       "2       -81.700455  Residential         Wood                  1   \n",
       "3       -81.707703  Residential         Wood                  3   \n",
       "4       -81.702675  Residential         Wood                  1   \n",
       "\n",
       "      policyID and co  \n",
       "0                 NaN  \n",
       "1                 NaN  \n",
       "2  206893 CLAY COUNTY  \n",
       "3  333743 CLAY COUNTY  \n",
       "4  172534 CLAY COUNTY  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.drop(\"statecode\",axis=1,inplace=True)\n",
    "new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        text-align: right;\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>policyID</th>\n",
       "      <th>county</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>333743</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>172534</td>\n",
       "      <td>CLAY COUNTY</td>\n",
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       "</table>\n",
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      "text/plain": [
       "   policyID       county\n",
       "0    119736          NaN\n",
       "1    448094          NaN\n",
       "2    206893  CLAY COUNTY\n",
       "3    333743  CLAY COUNTY\n",
       "4    172534  CLAY COUNTY"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "name=[\"ID\",\"county\"]\n",
    "new[col].columns=name\n",
    "new[col].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>policyID</th>\n",
       "      <th>county</th>\n",
       "      <th>eq_site_limit</th>\n",
       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
       "      <th>fr_site_limit</th>\n",
       "      <th>tiv_2011</th>\n",
       "      <th>tiv_2012</th>\n",
       "      <th>eq_site_deductible</th>\n",
       "      <th>hu_site_deductible</th>\n",
       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>line</th>\n",
       "      <th>construction</th>\n",
       "      <th>point_granularity</th>\n",
       "      <th>policyID and co</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17865</th>\n",
       "      <td>100074</td>\n",
       "      <td>BROWARD COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44665.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44665.57</td>\n",
       "      <td>36878.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>26.244300</td>\n",
       "      <td>-80.267400</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>100074 BROWARD COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34833</th>\n",
       "      <td>100123</td>\n",
       "      <td>CITRUS COUNTY</td>\n",
       "      <td>4374.0</td>\n",
       "      <td>4374.00</td>\n",
       "      <td>4374.0</td>\n",
       "      <td>4374.0</td>\n",
       "      <td>4374.00</td>\n",
       "      <td>6774.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.835960</td>\n",
       "      <td>-82.344559</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>100123 CITRUS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1494</th>\n",
       "      <td>100141</td>\n",
       "      <td>DUVAL COUNTY</td>\n",
       "      <td>494802.0</td>\n",
       "      <td>494802.00</td>\n",
       "      <td>494802.0</td>\n",
       "      <td>494802.0</td>\n",
       "      <td>494802.00</td>\n",
       "      <td>559055.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.140441</td>\n",
       "      <td>-81.523513</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>4</td>\n",
       "      <td>100141 DUVAL COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7534</th>\n",
       "      <td>100183</td>\n",
       "      <td>OKALOOSA COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52032.55</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>52032.55</td>\n",
       "      <td>75451.36</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.711832</td>\n",
       "      <td>-86.570244</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>100183 OKALOOSA COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34480</th>\n",
       "      <td>100203</td>\n",
       "      <td>SARASOTA COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>220993.74</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>220993.74</td>\n",
       "      <td>314625.69</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>27.080140</td>\n",
       "      <td>-82.373480</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>100203 SARASOTA COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       policyID           county  eq_site_limit  hu_site_limit  fl_site_limit  \\\n",
       "17865    100074   BROWARD COUNTY            0.0       44665.57            0.0   \n",
       "34833    100123    CITRUS COUNTY         4374.0        4374.00         4374.0   \n",
       "1494     100141     DUVAL COUNTY       494802.0      494802.00       494802.0   \n",
       "7534     100183  OKALOOSA COUNTY            0.0       52032.55            0.0   \n",
       "34480    100203  SARASOTA COUNTY            0.0      220993.74            0.0   \n",
       "\n",
       "       fr_site_limit   tiv_2011   tiv_2012  eq_site_deductible  \\\n",
       "17865            0.0   44665.57   36878.76                 0.0   \n",
       "34833         4374.0    4374.00    6774.39                 0.0   \n",
       "1494        494802.0  494802.00  559055.01                 0.0   \n",
       "7534             0.0   52032.55   75451.36                 0.0   \n",
       "34480            0.0  220993.74  314625.69                 0.0   \n",
       "\n",
       "       hu_site_deductible  fl_site_deductible  fr_site_deductible  \\\n",
       "17865                 0.0                 0.0                   0   \n",
       "34833                 0.0                 0.0                   0   \n",
       "1494                  0.0                 0.0                   0   \n",
       "7534                  0.0                 0.0                   0   \n",
       "34480                 0.0                 0.0                   0   \n",
       "\n",
       "       point_latitude  point_longitude         line construction  \\\n",
       "17865       26.244300       -80.267400  Residential         Wood   \n",
       "34833       28.835960       -82.344559  Residential         Wood   \n",
       "1494        30.140441       -81.523513  Residential      Masonry   \n",
       "7534        30.711832       -86.570244  Residential         Wood   \n",
       "34480       27.080140       -82.373480  Residential         Wood   \n",
       "\n",
       "       point_granularity         policyID and co  \n",
       "17865                  3   100074 BROWARD COUNTY  \n",
       "34833                  1    100123 CITRUS COUNTY  \n",
       "1494                   4     100141 DUVAL COUNTY  \n",
       "7534                   1  100183 OKALOOSA COUNTY  \n",
       "34480                  1  100203 SARASOTA COUNTY  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.sort_values(by=\"policyID\", ascending=True).head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9469    ALACHUA COUNTY\n",
       "9882    ALACHUA COUNTY\n",
       "9881    ALACHUA COUNTY\n",
       "9880    ALACHUA COUNTY\n",
       "9879    ALACHUA COUNTY\n",
       "9878    ALACHUA COUNTY\n",
       "Name: county, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new[\"county\"].sort_values().head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>policyID and co</th>\n",
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       "      <th>0</th>\n",
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       "      <td>30.102261</td>\n",
       "      <td>-81.711777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1438163.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063936</td>\n",
       "      <td>-81.707664</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>785275</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>515035.62</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>515035.62</td>\n",
       "      <td>884419.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063236</td>\n",
       "      <td>-81.707703</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>785275 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>142071</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>705600.0</td>\n",
       "      <td>705600.00</td>\n",
       "      <td>705600.0</td>\n",
       "      <td>705600.0</td>\n",
       "      <td>705600.00</td>\n",
       "      <td>1010842.56</td>\n",
       "      <td>14112.0</td>\n",
       "      <td>35280.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.100628</td>\n",
       "      <td>-81.703751</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>142071 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>253816</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>831498.3</td>\n",
       "      <td>831498.30</td>\n",
       "      <td>831498.3</td>\n",
       "      <td>831498.3</td>\n",
       "      <td>831498.30</td>\n",
       "      <td>1117791.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102160</td>\n",
       "      <td>-81.719444</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>253816 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    policyID       county  eq_site_limit  hu_site_limit  fl_site_limit  \\\n",
       "0     119736          NaN       498960.0      498960.00       498960.0   \n",
       "1     448094          NaN      1322376.3     1322376.30      1322376.3   \n",
       "5     785275  CLAY COUNTY            0.0      515035.62            0.0   \n",
       "9     142071  CLAY COUNTY       705600.0      705600.00       705600.0   \n",
       "10    253816  CLAY COUNTY       831498.3      831498.30       831498.3   \n",
       "\n",
       "    fr_site_limit    tiv_2011    tiv_2012  eq_site_deductible  \\\n",
       "0        498960.0   498960.00   792148.90                 0.0   \n",
       "1       1322376.3  1322376.30  1438163.57                 0.0   \n",
       "5             0.0   515035.62   884419.17                 0.0   \n",
       "9        705600.0   705600.00  1010842.56             14112.0   \n",
       "10       831498.3   831498.30  1117791.48                 0.0   \n",
       "\n",
       "    hu_site_deductible  fl_site_deductible  fr_site_deductible  \\\n",
       "0               9979.2                 0.0                   0   \n",
       "1                  0.0                 0.0                   0   \n",
       "5                  0.0                 0.0                   0   \n",
       "9              35280.0                 0.0                   0   \n",
       "10                 0.0                 0.0                   0   \n",
       "\n",
       "    point_latitude  point_longitude         line construction  \\\n",
       "0        30.102261       -81.711777  Residential      Masonry   \n",
       "1        30.063936       -81.707664  Residential      Masonry   \n",
       "5        30.063236       -81.707703  Residential      Masonry   \n",
       "9        30.100628       -81.703751  Residential      Masonry   \n",
       "10       30.102160       -81.719444  Residential      Masonry   \n",
       "\n",
       "    point_granularity     policyID and co  \n",
       "0                   1                 NaN  \n",
       "1                   3                 NaN  \n",
       "5                   3  785275 CLAY COUNTY  \n",
       "9                   1  142071 CLAY COUNTY  \n",
       "10                  1  253816 CLAY COUNTY  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#filtering\n",
    "new[new.construction==\"Masonry\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>policyID</th>\n",
       "      <th>county</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>785275</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>142071</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>253816</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    policyID       county\n",
       "0     119736  CLAY COUNTY\n",
       "1     448094  CLAY COUNTY\n",
       "5     785275  CLAY COUNTY\n",
       "9     142071  CLAY COUNTY\n",
       "10    253816  CLAY COUNTY"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col=[\"policyID\",\"county\"]\n",
    "new[new.construction==\"Masonry\"][col].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "548661.9371894961"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#manipulation\n",
    "new.policyID.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    clay county\n",
       "1    clay county\n",
       "2    clay county\n",
       "3    clay county\n",
       "4    clay county\n",
       "Name: county, dtype: object"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.county.str.lower().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>policyID</th>\n",
       "      <th>county</th>\n",
       "      <th>eq_site_limit</th>\n",
       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
       "      <th>fr_site_limit</th>\n",
       "      <th>tiv_2011</th>\n",
       "      <th>tiv_2012</th>\n",
       "      <th>eq_site_deductible</th>\n",
       "      <th>hu_site_deductible</th>\n",
       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>line</th>\n",
       "      <th>construction</th>\n",
       "      <th>point_granularity</th>\n",
       "      <th>policyID and co</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>792148.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9979.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102261</td>\n",
       "      <td>-81.711777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>119736 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1438163.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063936</td>\n",
       "      <td>-81.707664</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>448094 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>192476.78</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.089579</td>\n",
       "      <td>-81.700455</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>206893 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>333743</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>86854.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063236</td>\n",
       "      <td>-81.707703</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>333743 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>172534</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.5</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>246144.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.060614</td>\n",
       "      <td>-81.702675</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>172534 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>785275</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>515035.62</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>515035.62</td>\n",
       "      <td>884419.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063236</td>\n",
       "      <td>-81.707703</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>785275 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>995932</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19260000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19260000.00</td>\n",
       "      <td>20610000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102226</td>\n",
       "      <td>-81.713882</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Reinforced Concrete</td>\n",
       "      <td>1</td>\n",
       "      <td>995932 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>223488</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>328500.0</td>\n",
       "      <td>328500.00</td>\n",
       "      <td>328500.0</td>\n",
       "      <td>328500.0</td>\n",
       "      <td>328500.00</td>\n",
       "      <td>348374.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16425.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102217</td>\n",
       "      <td>-81.707146</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>223488 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>433512</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>315000.0</td>\n",
       "      <td>315000.00</td>\n",
       "      <td>315000.0</td>\n",
       "      <td>315000.0</td>\n",
       "      <td>315000.00</td>\n",
       "      <td>265821.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15750.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.118774</td>\n",
       "      <td>-81.704613</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>433512 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>142071</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>705600.0</td>\n",
       "      <td>705600.00</td>\n",
       "      <td>705600.0</td>\n",
       "      <td>705600.0</td>\n",
       "      <td>705600.00</td>\n",
       "      <td>1010842.56</td>\n",
       "      <td>14112.0</td>\n",
       "      <td>35280.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.100628</td>\n",
       "      <td>-81.703751</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>142071 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>253816</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>831498.3</td>\n",
       "      <td>831498.30</td>\n",
       "      <td>831498.3</td>\n",
       "      <td>831498.3</td>\n",
       "      <td>831498.30</td>\n",
       "      <td>1117791.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102160</td>\n",
       "      <td>-81.719444</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>253816 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>894922</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24059.09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24059.09</td>\n",
       "      <td>33952.19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.095957</td>\n",
       "      <td>-81.695099</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>894922 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>422834</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48115.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48115.94</td>\n",
       "      <td>66755.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.100073</td>\n",
       "      <td>-81.739822</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>422834 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>582721</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28869.12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28869.12</td>\n",
       "      <td>42826.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.092480</td>\n",
       "      <td>-81.725167</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>582721 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>842700</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56135.64</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56135.64</td>\n",
       "      <td>50656.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.101356</td>\n",
       "      <td>-81.726248</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>842700 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>874333</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48115.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48115.94</td>\n",
       "      <td>67905.07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.113743</td>\n",
       "      <td>-81.727463</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>874333 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>580146</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48115.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48115.94</td>\n",
       "      <td>66938.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.121655</td>\n",
       "      <td>-81.732391</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>580146 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>456149</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80192.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80192.49</td>\n",
       "      <td>86421.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.109537</td>\n",
       "      <td>-81.741661</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>456149 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>767862</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48115.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48115.94</td>\n",
       "      <td>73798.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.118240</td>\n",
       "      <td>-81.745335</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>767862 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>353022</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60946.79</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>60946.79</td>\n",
       "      <td>62467.29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.065799</td>\n",
       "      <td>-81.717416</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>353022 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>367814</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28869.12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>28869.12</td>\n",
       "      <td>42727.74</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.082993</td>\n",
       "      <td>-81.710581</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>367814 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>671392</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13410000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13410000.00</td>\n",
       "      <td>11700000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.091921</td>\n",
       "      <td>-81.711929</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Reinforced Concrete</td>\n",
       "      <td>3</td>\n",
       "      <td>671392 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>772887</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1669113.93</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1669113.93</td>\n",
       "      <td>2099127.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.117352</td>\n",
       "      <td>-81.711884</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>772887 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>983122</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>179562.23</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>179562.23</td>\n",
       "      <td>211372.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.095783</td>\n",
       "      <td>-81.713181</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>983122 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>934215</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>177744.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>177744.16</td>\n",
       "      <td>157171.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.110518</td>\n",
       "      <td>-81.727478</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>934215 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>385951</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17757.58</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17757.58</td>\n",
       "      <td>16948.72</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102880</td>\n",
       "      <td>-81.705719</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>385951 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>716332</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>130129.87</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>130129.87</td>\n",
       "      <td>101758.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.068468</td>\n",
       "      <td>-81.716240</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>716332 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>751262</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42854.77</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42854.77</td>\n",
       "      <td>63592.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.068468</td>\n",
       "      <td>-81.716240</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>751262 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>633663</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>785.58</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>785.58</td>\n",
       "      <td>662.18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.068468</td>\n",
       "      <td>-81.716240</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>633663 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>105851</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>170361.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>170361.91</td>\n",
       "      <td>177176.38</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.068468</td>\n",
       "      <td>-81.716240</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>105851 CLAY COUNTY</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36604</th>\n",
       "      <td>792963</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>492483.92</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>492483.92</td>\n",
       "      <td>631451.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.063780</td>\n",
       "      <td>-82.702550</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>792963 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36605</th>\n",
       "      <td>367030</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>954000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>954000.0</td>\n",
       "      <td>954000.00</td>\n",
       "      <td>1572497.28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>47700.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.041555</td>\n",
       "      <td>-82.669777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>367030 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36606</th>\n",
       "      <td>594660</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>900000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>900000.0</td>\n",
       "      <td>900000.00</td>\n",
       "      <td>811814.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>27000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.040613</td>\n",
       "      <td>-82.668579</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>594660 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36607</th>\n",
       "      <td>360785</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1093500.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1093500.0</td>\n",
       "      <td>1093500.00</td>\n",
       "      <td>1534191.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32805.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.048200</td>\n",
       "      <td>-82.681200</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>4</td>\n",
       "      <td>360785 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36608</th>\n",
       "      <td>847570</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>436632.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>436632.30</td>\n",
       "      <td>688459.98</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.056019</td>\n",
       "      <td>-82.763885</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>847570 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36609</th>\n",
       "      <td>196088</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>1917403.2</td>\n",
       "      <td>1917403.20</td>\n",
       "      <td>1917403.2</td>\n",
       "      <td>1917403.2</td>\n",
       "      <td>1917403.20</td>\n",
       "      <td>3302918.75</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.081780</td>\n",
       "      <td>-82.748710</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Reinforced Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>196088 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36610</th>\n",
       "      <td>166064</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>1392346.8</td>\n",
       "      <td>1392346.80</td>\n",
       "      <td>1392346.8</td>\n",
       "      <td>1392346.8</td>\n",
       "      <td>1392346.80</td>\n",
       "      <td>1361819.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.081780</td>\n",
       "      <td>-82.748710</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>166064 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36611</th>\n",
       "      <td>507269</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>1175310.0</td>\n",
       "      <td>1175310.00</td>\n",
       "      <td>1175310.0</td>\n",
       "      <td>1175310.0</td>\n",
       "      <td>1175310.00</td>\n",
       "      <td>1521291.88</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.053280</td>\n",
       "      <td>-82.745920</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>507269 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36612</th>\n",
       "      <td>335445</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>47250.9</td>\n",
       "      <td>47250.90</td>\n",
       "      <td>47250.9</td>\n",
       "      <td>47250.9</td>\n",
       "      <td>47250.90</td>\n",
       "      <td>37895.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.081780</td>\n",
       "      <td>-82.748710</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>335445 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36613</th>\n",
       "      <td>451921</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>18630.0</td>\n",
       "      <td>18630.00</td>\n",
       "      <td>18630.0</td>\n",
       "      <td>18630.0</td>\n",
       "      <td>18630.00</td>\n",
       "      <td>21790.39</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.081780</td>\n",
       "      <td>-82.748710</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>451921 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36614</th>\n",
       "      <td>859202</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>9450.0</td>\n",
       "      <td>9450.00</td>\n",
       "      <td>9450.0</td>\n",
       "      <td>9450.0</td>\n",
       "      <td>9450.00</td>\n",
       "      <td>9577.31</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.053280</td>\n",
       "      <td>-82.745920</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>859202 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36615</th>\n",
       "      <td>584224</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>866904.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>866904.3</td>\n",
       "      <td>866904.30</td>\n",
       "      <td>1329858.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>584224 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36616</th>\n",
       "      <td>603769</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1541972.70</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1541972.7</td>\n",
       "      <td>1541972.70</td>\n",
       "      <td>2064682.94</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>603769 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36617</th>\n",
       "      <td>575194</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3759303.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3759303.6</td>\n",
       "      <td>3759303.60</td>\n",
       "      <td>4209183.22</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Reinforced Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>575194 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36618</th>\n",
       "      <td>708726</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>717846.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>717846.3</td>\n",
       "      <td>717846.30</td>\n",
       "      <td>1097387.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>708726 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36619</th>\n",
       "      <td>645213</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1728847.80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1728847.8</td>\n",
       "      <td>1728847.80</td>\n",
       "      <td>1449908.58</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>645213 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36620</th>\n",
       "      <td>175829</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24210000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24210000.0</td>\n",
       "      <td>24210000.00</td>\n",
       "      <td>27000000.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Commercial</td>\n",
       "      <td>Reinforced Concrete</td>\n",
       "      <td>3</td>\n",
       "      <td>175829 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36621</th>\n",
       "      <td>546178</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1331880.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1331880.3</td>\n",
       "      <td>1331880.30</td>\n",
       "      <td>1770812.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>546178 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36622</th>\n",
       "      <td>938910</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35408.70</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35408.7</td>\n",
       "      <td>35408.70</td>\n",
       "      <td>51588.17</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>938910 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36623</th>\n",
       "      <td>592170</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24574.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24574.5</td>\n",
       "      <td>24574.50</td>\n",
       "      <td>40907.70</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>592170 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36624</th>\n",
       "      <td>827844</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38112.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38112.3</td>\n",
       "      <td>38112.30</td>\n",
       "      <td>52710.45</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>827844 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36625</th>\n",
       "      <td>876385</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18312.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18312.3</td>\n",
       "      <td>18312.30</td>\n",
       "      <td>18575.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>876385 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36626</th>\n",
       "      <td>167630</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4522.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4522.5</td>\n",
       "      <td>4522.50</td>\n",
       "      <td>4048.11</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>167630 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36627</th>\n",
       "      <td>241496</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1350.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1350.0</td>\n",
       "      <td>1350.00</td>\n",
       "      <td>1430.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>241496 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36628</th>\n",
       "      <td>780814</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9770.40</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9770.4</td>\n",
       "      <td>9770.40</td>\n",
       "      <td>9349.98</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>780814 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36629</th>\n",
       "      <td>404309</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88722.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>88722.0</td>\n",
       "      <td>88722.00</td>\n",
       "      <td>155065.65</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.122885</td>\n",
       "      <td>-82.770218</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>404309 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36630</th>\n",
       "      <td>465875</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>1297057.5</td>\n",
       "      <td>1297057.50</td>\n",
       "      <td>1297057.5</td>\n",
       "      <td>1297057.5</td>\n",
       "      <td>1297057.50</td>\n",
       "      <td>1577500.79</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.080900</td>\n",
       "      <td>-82.758800</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>465875 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36631</th>\n",
       "      <td>791209</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>173286.9</td>\n",
       "      <td>173286.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>173286.90</td>\n",
       "      <td>205527.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.110550</td>\n",
       "      <td>-82.766360</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>4</td>\n",
       "      <td>791209 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36632</th>\n",
       "      <td>322627</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>1499781.6</td>\n",
       "      <td>1499781.60</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1499781.60</td>\n",
       "      <td>1768782.43</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.089415</td>\n",
       "      <td>-82.697411</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>322627 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36633</th>\n",
       "      <td>398149</td>\n",
       "      <td>PINELLAS COUNTY</td>\n",
       "      <td>373488.3</td>\n",
       "      <td>373488.30</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>373488.30</td>\n",
       "      <td>596003.67</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.064440</td>\n",
       "      <td>-82.774590</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>398149 PINELLAS COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>36632 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       policyID           county  eq_site_limit  hu_site_limit  fl_site_limit  \\\n",
       "0        119736      CLAY COUNTY       498960.0      498960.00       498960.0   \n",
       "1        448094      CLAY COUNTY      1322376.3     1322376.30      1322376.3   \n",
       "2        206893      CLAY COUNTY       190724.4      190724.40       190724.4   \n",
       "3        333743      CLAY COUNTY            0.0       79520.76            0.0   \n",
       "4        172534      CLAY COUNTY            0.0      254281.50            0.0   \n",
       "5        785275      CLAY COUNTY            0.0      515035.62            0.0   \n",
       "6        995932      CLAY COUNTY            0.0    19260000.00            0.0   \n",
       "7        223488      CLAY COUNTY       328500.0      328500.00       328500.0   \n",
       "8        433512      CLAY COUNTY       315000.0      315000.00       315000.0   \n",
       "9        142071      CLAY COUNTY       705600.0      705600.00       705600.0   \n",
       "10       253816      CLAY COUNTY       831498.3      831498.30       831498.3   \n",
       "11       894922      CLAY COUNTY            0.0       24059.09            0.0   \n",
       "12       422834      CLAY COUNTY            0.0       48115.94            0.0   \n",
       "13       582721      CLAY COUNTY            0.0       28869.12            0.0   \n",
       "14       842700      CLAY COUNTY            0.0       56135.64            0.0   \n",
       "15       874333      CLAY COUNTY            0.0       48115.94            0.0   \n",
       "16       580146      CLAY COUNTY            0.0       48115.94            0.0   \n",
       "17       456149      CLAY COUNTY            0.0       80192.49            0.0   \n",
       "18       767862      CLAY COUNTY            0.0       48115.94            0.0   \n",
       "19       353022      CLAY COUNTY            0.0       60946.79            0.0   \n",
       "20       367814      CLAY COUNTY            0.0       28869.12            0.0   \n",
       "21       671392      CLAY COUNTY            0.0    13410000.00            0.0   \n",
       "22       772887      CLAY COUNTY            0.0     1669113.93            0.0   \n",
       "23       983122      CLAY COUNTY            0.0      179562.23            0.0   \n",
       "24       934215      CLAY COUNTY            0.0      177744.16            0.0   \n",
       "25       385951      CLAY COUNTY            0.0       17757.58            0.0   \n",
       "26       716332      CLAY COUNTY            0.0      130129.87            0.0   \n",
       "27       751262      CLAY COUNTY            0.0       42854.77            0.0   \n",
       "28       633663      CLAY COUNTY            0.0         785.58            0.0   \n",
       "29       105851      CLAY COUNTY            0.0      170361.91            0.0   \n",
       "...         ...              ...            ...            ...            ...   \n",
       "36604    792963  PINELLAS COUNTY            0.0      492483.92            0.0   \n",
       "36605    367030  PINELLAS COUNTY            0.0      954000.00            0.0   \n",
       "36606    594660  PINELLAS COUNTY            0.0      900000.00            0.0   \n",
       "36607    360785  PINELLAS COUNTY            0.0     1093500.00            0.0   \n",
       "36608    847570  PINELLAS COUNTY            0.0      436632.30            0.0   \n",
       "36609    196088  PINELLAS COUNTY      1917403.2     1917403.20      1917403.2   \n",
       "36610    166064  PINELLAS COUNTY      1392346.8     1392346.80      1392346.8   \n",
       "36611    507269  PINELLAS COUNTY      1175310.0     1175310.00      1175310.0   \n",
       "36612    335445  PINELLAS COUNTY        47250.9       47250.90        47250.9   \n",
       "36613    451921  PINELLAS COUNTY        18630.0       18630.00        18630.0   \n",
       "36614    859202  PINELLAS COUNTY         9450.0        9450.00         9450.0   \n",
       "36615    584224  PINELLAS COUNTY            0.0      866904.30            0.0   \n",
       "36616    603769  PINELLAS COUNTY            0.0     1541972.70            0.0   \n",
       "36617    575194  PINELLAS COUNTY            0.0     3759303.60            0.0   \n",
       "36618    708726  PINELLAS COUNTY            0.0      717846.30            0.0   \n",
       "36619    645213  PINELLAS COUNTY            0.0     1728847.80            0.0   \n",
       "36620    175829  PINELLAS COUNTY            0.0    24210000.00            0.0   \n",
       "36621    546178  PINELLAS COUNTY            0.0     1331880.30            0.0   \n",
       "36622    938910  PINELLAS COUNTY            0.0       35408.70            0.0   \n",
       "36623    592170  PINELLAS COUNTY            0.0       24574.50            0.0   \n",
       "36624    827844  PINELLAS COUNTY            0.0       38112.30            0.0   \n",
       "36625    876385  PINELLAS COUNTY            0.0       18312.30            0.0   \n",
       "36626    167630  PINELLAS COUNTY            0.0        4522.50            0.0   \n",
       "36627    241496  PINELLAS COUNTY            0.0        1350.00            0.0   \n",
       "36628    780814  PINELLAS COUNTY            0.0        9770.40            0.0   \n",
       "36629    404309  PINELLAS COUNTY            0.0       88722.00            0.0   \n",
       "36630    465875  PINELLAS COUNTY      1297057.5     1297057.50      1297057.5   \n",
       "36631    791209  PINELLAS COUNTY       173286.9      173286.90            0.0   \n",
       "36632    322627  PINELLAS COUNTY      1499781.6     1499781.60            0.0   \n",
       "36633    398149  PINELLAS COUNTY       373488.3      373488.30            0.0   \n",
       "\n",
       "       fr_site_limit     tiv_2011     tiv_2012  eq_site_deductible  \\\n",
       "0           498960.0    498960.00    792148.90                 0.0   \n",
       "1          1322376.3   1322376.30   1438163.57                 0.0   \n",
       "2           190724.4    190724.40    192476.78                 0.0   \n",
       "3                0.0     79520.76     86854.48                 0.0   \n",
       "4           254281.5    254281.50    246144.49                 0.0   \n",
       "5                0.0    515035.62    884419.17                 0.0   \n",
       "6                0.0  19260000.00  20610000.00                 0.0   \n",
       "7           328500.0    328500.00    348374.25                 0.0   \n",
       "8           315000.0    315000.00    265821.57                 0.0   \n",
       "9           705600.0    705600.00   1010842.56             14112.0   \n",
       "10          831498.3    831498.30   1117791.48                 0.0   \n",
       "11               0.0     24059.09     33952.19                 0.0   \n",
       "12               0.0     48115.94     66755.39                 0.0   \n",
       "13               0.0     28869.12     42826.99                 0.0   \n",
       "14               0.0     56135.64     50656.80                 0.0   \n",
       "15               0.0     48115.94     67905.07                 0.0   \n",
       "16               0.0     48115.94     66938.90                 0.0   \n",
       "17               0.0     80192.49     86421.04                 0.0   \n",
       "18               0.0     48115.94     73798.50                 0.0   \n",
       "19               0.0     60946.79     62467.29                 0.0   \n",
       "20               0.0     28869.12     42727.74                 0.0   \n",
       "21               0.0  13410000.00  11700000.00                 0.0   \n",
       "22               0.0   1669113.93   2099127.76                 0.0   \n",
       "23               0.0    179562.23    211372.57                 0.0   \n",
       "24               0.0    177744.16    157171.16                 0.0   \n",
       "25               0.0     17757.58     16948.72                 0.0   \n",
       "26               0.0    130129.87    101758.43                 0.0   \n",
       "27               0.0     42854.77     63592.88                 0.0   \n",
       "28               0.0       785.58       662.18                 0.0   \n",
       "29               0.0    170361.91    177176.38                 0.0   \n",
       "...              ...          ...          ...                 ...   \n",
       "36604            0.0    492483.92    631451.06                 0.0   \n",
       "36605       954000.0    954000.00   1572497.28                 0.0   \n",
       "36606       900000.0    900000.00    811814.40                 0.0   \n",
       "36607      1093500.0   1093500.00   1534191.44                 0.0   \n",
       "36608            0.0    436632.30    688459.98                 0.0   \n",
       "36609      1917403.2   1917403.20   3302918.75                 0.0   \n",
       "36610      1392346.8   1392346.80   1361819.60                 0.0   \n",
       "36611      1175310.0   1175310.00   1521291.88                 0.0   \n",
       "36612        47250.9     47250.90     37895.60                 0.0   \n",
       "36613        18630.0     18630.00     21790.39                 0.0   \n",
       "36614         9450.0      9450.00      9577.31                 0.0   \n",
       "36615       866904.3    866904.30   1329858.94                 0.0   \n",
       "36616      1541972.7   1541972.70   2064682.94                 0.0   \n",
       "36617      3759303.6   3759303.60   4209183.22                 0.0   \n",
       "36618       717846.3    717846.30   1097387.43                 0.0   \n",
       "36619      1728847.8   1728847.80   1449908.58                 0.0   \n",
       "36620     24210000.0  24210000.00  27000000.00                 0.0   \n",
       "36621      1331880.3   1331880.30   1770812.11                 0.0   \n",
       "36622        35408.7     35408.70     51588.17                 0.0   \n",
       "36623        24574.5     24574.50     40907.70                 0.0   \n",
       "36624        38112.3     38112.30     52710.45                 0.0   \n",
       "36625        18312.3     18312.30     18575.81                 0.0   \n",
       "36626         4522.5      4522.50      4048.11                 0.0   \n",
       "36627         1350.0      1350.00      1430.16                 0.0   \n",
       "36628         9770.4      9770.40      9349.98                 0.0   \n",
       "36629        88722.0     88722.00    155065.65                 0.0   \n",
       "36630      1297057.5   1297057.50   1577500.79                 0.0   \n",
       "36631            0.0    173286.90    205527.97                 0.0   \n",
       "36632            0.0   1499781.60   1768782.43                 0.0   \n",
       "36633            0.0    373488.30    596003.67                 0.0   \n",
       "\n",
       "       hu_site_deductible  fl_site_deductible  fr_site_deductible  \\\n",
       "0                  9979.2                 0.0                   0   \n",
       "1                     0.0                 0.0                   0   \n",
       "2                     0.0                 0.0                   0   \n",
       "3                     0.0                 0.0                   0   \n",
       "4                     0.0                 0.0                   0   \n",
       "5                     0.0                 0.0                   0   \n",
       "6                     0.0                 0.0                   0   \n",
       "7                 16425.0                 0.0                   0   \n",
       "8                 15750.0                 0.0                   0   \n",
       "9                 35280.0                 0.0                   0   \n",
       "10                    0.0                 0.0                   0   \n",
       "11                    0.0                 0.0                   0   \n",
       "12                    0.0                 0.0                   0   \n",
       "13                    0.0                 0.0                   0   \n",
       "14                    0.0                 0.0                   0   \n",
       "15                    0.0                 0.0                   0   \n",
       "16                    0.0                 0.0                   0   \n",
       "17                    0.0                 0.0                   0   \n",
       "18                    0.0                 0.0                   0   \n",
       "19                    0.0                 0.0                   0   \n",
       "20                    0.0                 0.0                   0   \n",
       "21                    0.0                 0.0                   0   \n",
       "22                    0.0                 0.0                   0   \n",
       "23                    0.0                 0.0                   0   \n",
       "24                    0.0                 0.0                   0   \n",
       "25                    0.0                 0.0                   0   \n",
       "26                    0.0                 0.0                   0   \n",
       "27                    0.0                 0.0                   0   \n",
       "28                    0.0                 0.0                   0   \n",
       "29                    0.0                 0.0                   0   \n",
       "...                   ...                 ...                 ...   \n",
       "36604                 0.0                 0.0                   0   \n",
       "36605             47700.0                 0.0                   0   \n",
       "36606             27000.0                 0.0                   0   \n",
       "36607             32805.0                 0.0                   0   \n",
       "36608                 0.0                 0.0                   0   \n",
       "36609                 0.0                 0.0                   0   \n",
       "36610                 0.0                 0.0                   0   \n",
       "36611                 0.0                 0.0                   0   \n",
       "36612                 0.0                 0.0                   0   \n",
       "36613                 0.0                 0.0                   0   \n",
       "36614                 0.0                 0.0                   0   \n",
       "36615                 0.0                 0.0                   0   \n",
       "36616                 0.0                 0.0                   0   \n",
       "36617                 0.0                 0.0                   0   \n",
       "36618                 0.0                 0.0                   0   \n",
       "36619                 0.0                 0.0                   0   \n",
       "36620                 0.0                 0.0                   0   \n",
       "36621                 0.0                 0.0                   0   \n",
       "36622                 0.0                 0.0                   0   \n",
       "36623                 0.0                 0.0                   0   \n",
       "36624                 0.0                 0.0                   0   \n",
       "36625                 0.0                 0.0                   0   \n",
       "36626                 0.0                 0.0                   0   \n",
       "36627                 0.0                 0.0                   0   \n",
       "36628                 0.0                 0.0                   0   \n",
       "36629                 0.0                 0.0                   0   \n",
       "36630                 0.0                 0.0                   0   \n",
       "36631                 0.0                 0.0                   0   \n",
       "36632                 0.0                 0.0                   0   \n",
       "36633                 0.0                 0.0                   0   \n",
       "\n",
       "       point_latitude  point_longitude         line         construction  \\\n",
       "0           30.102261       -81.711777  Residential              Masonry   \n",
       "1           30.063936       -81.707664  Residential              Masonry   \n",
       "2           30.089579       -81.700455  Residential                 Wood   \n",
       "3           30.063236       -81.707703  Residential                 Wood   \n",
       "4           30.060614       -81.702675  Residential                 Wood   \n",
       "5           30.063236       -81.707703  Residential              Masonry   \n",
       "6           30.102226       -81.713882   Commercial  Reinforced Concrete   \n",
       "7           30.102217       -81.707146  Residential                 Wood   \n",
       "8           30.118774       -81.704613  Residential                 Wood   \n",
       "9           30.100628       -81.703751  Residential              Masonry   \n",
       "10          30.102160       -81.719444  Residential              Masonry   \n",
       "11          30.095957       -81.695099  Residential                 Wood   \n",
       "12          30.100073       -81.739822  Residential                 Wood   \n",
       "13          30.092480       -81.725167  Residential                 Wood   \n",
       "14          30.101356       -81.726248  Residential                 Wood   \n",
       "15          30.113743       -81.727463  Residential                 Wood   \n",
       "16          30.121655       -81.732391  Residential                 Wood   \n",
       "17          30.109537       -81.741661  Residential                 Wood   \n",
       "18          30.118240       -81.745335  Residential                 Wood   \n",
       "19          30.065799       -81.717416  Residential                 Wood   \n",
       "20          30.082993       -81.710581  Residential                 Wood   \n",
       "21          30.091921       -81.711929   Commercial  Reinforced Concrete   \n",
       "22          30.117352       -81.711884  Residential              Masonry   \n",
       "23          30.095783       -81.713181  Residential                 Wood   \n",
       "24          30.110518       -81.727478  Residential                 Wood   \n",
       "25          30.102880       -81.705719  Residential                 Wood   \n",
       "26          30.068468       -81.716240  Residential                 Wood   \n",
       "27          30.068468       -81.716240  Residential                 Wood   \n",
       "28          30.068468       -81.716240  Residential                 Wood   \n",
       "29          30.068468       -81.716240  Residential                 Wood   \n",
       "...               ...              ...          ...                  ...   \n",
       "36604       28.063780       -82.702550  Residential              Masonry   \n",
       "36605       28.041555       -82.669777  Residential              Masonry   \n",
       "36606       28.040613       -82.668579  Residential              Masonry   \n",
       "36607       28.048200       -82.681200  Residential              Masonry   \n",
       "36608       28.056019       -82.763885  Residential              Masonry   \n",
       "36609       28.081780       -82.748710   Commercial   Reinforced Masonry   \n",
       "36610       28.081780       -82.748710  Residential              Masonry   \n",
       "36611       28.053280       -82.745920  Residential              Masonry   \n",
       "36612       28.081780       -82.748710  Residential                 Wood   \n",
       "36613       28.081780       -82.748710  Residential                 Wood   \n",
       "36614       28.053280       -82.745920  Residential                 Wood   \n",
       "36615       28.122885       -82.770218  Residential              Masonry   \n",
       "36616       28.122885       -82.770218  Residential              Masonry   \n",
       "36617       28.122885       -82.770218   Commercial   Reinforced Masonry   \n",
       "36618       28.122885       -82.770218  Residential              Masonry   \n",
       "36619       28.122885       -82.770218  Residential              Masonry   \n",
       "36620       28.122885       -82.770218   Commercial  Reinforced Concrete   \n",
       "36621       28.122885       -82.770218  Residential              Masonry   \n",
       "36622       28.122885       -82.770218  Residential                 Wood   \n",
       "36623       28.122885       -82.770218  Residential                 Wood   \n",
       "36624       28.122885       -82.770218  Residential                 Wood   \n",
       "36625       28.122885       -82.770218  Residential                 Wood   \n",
       "36626       28.122885       -82.770218  Residential                 Wood   \n",
       "36627       28.122885       -82.770218  Residential                 Wood   \n",
       "36628       28.122885       -82.770218  Residential                 Wood   \n",
       "36629       28.122885       -82.770218  Residential                 Wood   \n",
       "36630       28.080900       -82.758800  Residential              Masonry   \n",
       "36631       28.110550       -82.766360  Residential                 Wood   \n",
       "36632       28.089415       -82.697411  Residential              Masonry   \n",
       "36633       28.064440       -82.774590  Residential              Masonry   \n",
       "\n",
       "       point_granularity         policyID and co  \n",
       "0                      1      119736 CLAY COUNTY  \n",
       "1                      3      448094 CLAY COUNTY  \n",
       "2                      1      206893 CLAY COUNTY  \n",
       "3                      3      333743 CLAY COUNTY  \n",
       "4                      1      172534 CLAY COUNTY  \n",
       "5                      3      785275 CLAY COUNTY  \n",
       "6                      1      995932 CLAY COUNTY  \n",
       "7                      1      223488 CLAY COUNTY  \n",
       "8                      1      433512 CLAY COUNTY  \n",
       "9                      1      142071 CLAY COUNTY  \n",
       "10                     1      253816 CLAY COUNTY  \n",
       "11                     1      894922 CLAY COUNTY  \n",
       "12                     1      422834 CLAY COUNTY  \n",
       "13                     1      582721 CLAY COUNTY  \n",
       "14                     1      842700 CLAY COUNTY  \n",
       "15                     1      874333 CLAY COUNTY  \n",
       "16                     3      580146 CLAY COUNTY  \n",
       "17                     1      456149 CLAY COUNTY  \n",
       "18                     3      767862 CLAY COUNTY  \n",
       "19                     1      353022 CLAY COUNTY  \n",
       "20                     1      367814 CLAY COUNTY  \n",
       "21                     3      671392 CLAY COUNTY  \n",
       "22                     1      772887 CLAY COUNTY  \n",
       "23                     3      983122 CLAY COUNTY  \n",
       "24                     1      934215 CLAY COUNTY  \n",
       "25                     1      385951 CLAY COUNTY  \n",
       "26                     1      716332 CLAY COUNTY  \n",
       "27                     1      751262 CLAY COUNTY  \n",
       "28                     1      633663 CLAY COUNTY  \n",
       "29                     1      105851 CLAY COUNTY  \n",
       "...                  ...                     ...  \n",
       "36604                  1  792963 PINELLAS COUNTY  \n",
       "36605                  1  367030 PINELLAS COUNTY  \n",
       "36606                  1  594660 PINELLAS COUNTY  \n",
       "36607                  4  360785 PINELLAS COUNTY  \n",
       "36608                  3  847570 PINELLAS COUNTY  \n",
       "36609                  1  196088 PINELLAS COUNTY  \n",
       "36610                  1  166064 PINELLAS COUNTY  \n",
       "36611                  1  507269 PINELLAS COUNTY  \n",
       "36612                  1  335445 PINELLAS COUNTY  \n",
       "36613                  1  451921 PINELLAS COUNTY  \n",
       "36614                  1  859202 PINELLAS COUNTY  \n",
       "36615                  3  584224 PINELLAS COUNTY  \n",
       "36616                  3  603769 PINELLAS COUNTY  \n",
       "36617                  3  575194 PINELLAS COUNTY  \n",
       "36618                  3  708726 PINELLAS COUNTY  \n",
       "36619                  3  645213 PINELLAS COUNTY  \n",
       "36620                  3  175829 PINELLAS COUNTY  \n",
       "36621                  3  546178 PINELLAS COUNTY  \n",
       "36622                  3  938910 PINELLAS COUNTY  \n",
       "36623                  3  592170 PINELLAS COUNTY  \n",
       "36624                  3  827844 PINELLAS COUNTY  \n",
       "36625                  3  876385 PINELLAS COUNTY  \n",
       "36626                  3  167630 PINELLAS COUNTY  \n",
       "36627                  3  241496 PINELLAS COUNTY  \n",
       "36628                  3  780814 PINELLAS COUNTY  \n",
       "36629                  3  404309 PINELLAS COUNTY  \n",
       "36630                  1  465875 PINELLAS COUNTY  \n",
       "36631                  4  791209 PINELLAS COUNTY  \n",
       "36632                  3  322627 PINELLAS COUNTY  \n",
       "36633                  1  398149 PINELLAS COUNTY  \n",
       "\n",
       "[36632 rows x 18 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.head()\n",
    "new.county.str.contains(\"county\")\n",
    "new[new.county.str.contains(\"COUNTY\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    COUNTY\n",
       "1    COUNTY\n",
       "2    COUNTY\n",
       "3    COUNTY\n",
       "4    COUNTY\n",
       "Name: county, dtype: object"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.county.str.replace(\"CLAY COUNTY\",\"COUNTY\").head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\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>policyID</th>\n",
       "      <th>county</th>\n",
       "      <th>eq_site_limit</th>\n",
       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
       "      <th>fr_site_limit</th>\n",
       "      <th>tiv_2011</th>\n",
       "      <th>tiv_2012</th>\n",
       "      <th>eq_site_deductible</th>\n",
       "      <th>hu_site_deductible</th>\n",
       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>line</th>\n",
       "      <th>construction</th>\n",
       "      <th>point_granularity</th>\n",
       "      <th>policyID and co</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>792148.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9979.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102261</td>\n",
       "      <td>-81.711777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>119736 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1438163.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063936</td>\n",
       "      <td>-81.707664</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>448094 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>192476.78</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.089579</td>\n",
       "      <td>-81.700455</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>206893 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>333743</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>86854.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063236</td>\n",
       "      <td>-81.707703</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>333743 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>172534</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.5</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>246144.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.060614</td>\n",
       "      <td>-81.702675</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>172534 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   policyID       county  eq_site_limit  hu_site_limit  fl_site_limit  \\\n",
       "0    119736  CLAY COUNTY       498960.0      498960.00       498960.0   \n",
       "1    448094  CLAY COUNTY      1322376.3     1322376.30      1322376.3   \n",
       "2    206893  CLAY COUNTY       190724.4      190724.40       190724.4   \n",
       "3    333743  CLAY COUNTY            0.0       79520.76            0.0   \n",
       "4    172534  CLAY COUNTY            0.0      254281.50            0.0   \n",
       "\n",
       "   fr_site_limit    tiv_2011    tiv_2012  eq_site_deductible  \\\n",
       "0       498960.0   498960.00   792148.90                 0.0   \n",
       "1      1322376.3  1322376.30  1438163.57                 0.0   \n",
       "2       190724.4   190724.40   192476.78                 0.0   \n",
       "3            0.0    79520.76    86854.48                 0.0   \n",
       "4       254281.5   254281.50   246144.49                 0.0   \n",
       "\n",
       "   hu_site_deductible  fl_site_deductible  fr_site_deductible  point_latitude  \\\n",
       "0              9979.2                 0.0                   0       30.102261   \n",
       "1                 0.0                 0.0                   0       30.063936   \n",
       "2                 0.0                 0.0                   0       30.089579   \n",
       "3                 0.0                 0.0                   0       30.063236   \n",
       "4                 0.0                 0.0                   0       30.060614   \n",
       "\n",
       "   point_longitude         line construction  point_granularity  \\\n",
       "0       -81.711777  Residential      Masonry                  1   \n",
       "1       -81.707664  Residential      Masonry                  3   \n",
       "2       -81.700455  Residential         Wood                  1   \n",
       "3       -81.707703  Residential         Wood                  3   \n",
       "4       -81.702675  Residential         Wood                  1   \n",
       "\n",
       "      policyID and co  \n",
       "0  119736 CLAY COUNTY  \n",
       "1  448094 CLAY COUNTY  \n",
       "2  206893 CLAY COUNTY  \n",
       "3  333743 CLAY COUNTY  \n",
       "4  172534 CLAY COUNTY  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "100074"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#aggregation\n",
    "new.policyID.min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "county\n",
       "ALACHUA COUNTY     101381\n",
       "BAKER COUNTY       115934\n",
       "BAY COUNTY         101036\n",
       "BRADFORD COUNTY    122151\n",
       "BREVARD COUNTY     105678\n",
       "Name: policyID, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.groupby(\"county\").policyID.min().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>county</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ALACHUA COUNTY</th>\n",
       "      <td>973</td>\n",
       "      <td>101381</td>\n",
       "      <td>999597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAKER COUNTY</th>\n",
       "      <td>70</td>\n",
       "      <td>115934</td>\n",
       "      <td>977912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BAY COUNTY</th>\n",
       "      <td>403</td>\n",
       "      <td>101036</td>\n",
       "      <td>997150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRADFORD COUNTY</th>\n",
       "      <td>31</td>\n",
       "      <td>122151</td>\n",
       "      <td>979257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BREVARD COUNTY</th>\n",
       "      <td>872</td>\n",
       "      <td>105678</td>\n",
       "      <td>998818</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 count     min     max\n",
       "county                                \n",
       "ALACHUA COUNTY     973  101381  999597\n",
       "BAKER COUNTY        70  115934  977912\n",
       "BAY COUNTY         403  101036  997150\n",
       "BRADFORD COUNTY     31  122151  979257\n",
       "BREVARD COUNTY     872  105678  998818"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.groupby(\"county\").policyID.agg([\"count\",\"min\",\"max\"]).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>policyID</th>\n",
       "      <th>statecode</th>\n",
       "      <th>county</th>\n",
       "      <th>eq_site_limit</th>\n",
       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
       "      <th>fr_site_limit</th>\n",
       "      <th>tiv_2011</th>\n",
       "      <th>tiv_2012</th>\n",
       "      <th>eq_site_deductible</th>\n",
       "      <th>hu_site_deductible</th>\n",
       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>line</th>\n",
       "      <th>construction</th>\n",
       "      <th>point_granularity</th>\n",
       "      <th>policyID and co</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>792148.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9979.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102261</td>\n",
       "      <td>-81.711777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>119736 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1438163.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063936</td>\n",
       "      <td>-81.707664</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>448094 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>192476.78</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.089579</td>\n",
       "      <td>-81.700455</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>206893 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   policyID statecode       county  eq_site_limit  hu_site_limit  \\\n",
       "0    119736        FL  CLAY COUNTY       498960.0       498960.0   \n",
       "1    448094        FL  CLAY COUNTY      1322376.3      1322376.3   \n",
       "2    206893        FL  CLAY COUNTY       190724.4       190724.4   \n",
       "\n",
       "   fl_site_limit  fr_site_limit   tiv_2011    tiv_2012  eq_site_deductible  \\\n",
       "0       498960.0       498960.0   498960.0   792148.90                 0.0   \n",
       "1      1322376.3      1322376.3  1322376.3  1438163.57                 0.0   \n",
       "2       190724.4       190724.4   190724.4   192476.78                 0.0   \n",
       "\n",
       "   hu_site_deductible  fl_site_deductible  fr_site_deductible  point_latitude  \\\n",
       "0              9979.2                 0.0                   0       30.102261   \n",
       "1                 0.0                 0.0                   0       30.063936   \n",
       "2                 0.0                 0.0                   0       30.089579   \n",
       "\n",
       "   point_longitude         line construction  point_granularity  \\\n",
       "0       -81.711777  Residential      Masonry                  1   \n",
       "1       -81.707664  Residential      Masonry                  3   \n",
       "2       -81.700455  Residential         Wood                  1   \n",
       "\n",
       "      policyID and co  \n",
       "0  119736 CLAY COUNTY  \n",
       "1  448094 CLAY COUNTY  \n",
       "2  206893 CLAY COUNTY  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#loc-used to fetch some location based on some condition\n",
    "new.loc[0:2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>policyID</th>\n",
       "      <th>statecode</th>\n",
       "      <th>county</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   policyID statecode       county\n",
       "0    119736        FL  CLAY COUNTY\n",
       "1    448094        FL  CLAY COUNTY\n",
       "2    206893        FL  CLAY COUNTY"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.loc[0:2,\"policyID\":\"county\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>policyID</th>\n",
       "      <th>statecode</th>\n",
       "      <th>county</th>\n",
       "      <th>eq_site_limit</th>\n",
       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
       "      <th>fr_site_limit</th>\n",
       "      <th>tiv_2011</th>\n",
       "      <th>tiv_2012</th>\n",
       "      <th>eq_site_deductible</th>\n",
       "      <th>hu_site_deductible</th>\n",
       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>line</th>\n",
       "      <th>construction</th>\n",
       "      <th>point_granularity</th>\n",
       "      <th>policyID and co</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>792148.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9979.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102261</td>\n",
       "      <td>-81.711777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>119736 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   policyID statecode       county  eq_site_limit  hu_site_limit  \\\n",
       "0    119736        FL  CLAY COUNTY       498960.0       498960.0   \n",
       "\n",
       "   fl_site_limit  fr_site_limit  tiv_2011  tiv_2012  eq_site_deductible  \\\n",
       "0       498960.0       498960.0  498960.0  792148.9                 0.0   \n",
       "\n",
       "   hu_site_deductible  fl_site_deductible  fr_site_deductible  point_latitude  \\\n",
       "0              9979.2                 0.0                   0       30.102261   \n",
       "\n",
       "   point_longitude         line construction  point_granularity  \\\n",
       "0       -81.711777  Residential      Masonry                  1   \n",
       "\n",
       "      policyID and co  \n",
       "0  119736 CLAY COUNTY  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.loc[new.policyID==119736]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        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>policyID</th>\n",
       "      <th>statecode</th>\n",
       "      <th>county</th>\n",
       "      <th>eq_site_limit</th>\n",
       "      <th>hu_site_limit</th>\n",
       "      <th>fl_site_limit</th>\n",
       "      <th>fr_site_limit</th>\n",
       "      <th>tiv_2011</th>\n",
       "      <th>tiv_2012</th>\n",
       "      <th>eq_site_deductible</th>\n",
       "      <th>hu_site_deductible</th>\n",
       "      <th>fl_site_deductible</th>\n",
       "      <th>fr_site_deductible</th>\n",
       "      <th>point_latitude</th>\n",
       "      <th>point_longitude</th>\n",
       "      <th>line</th>\n",
       "      <th>construction</th>\n",
       "      <th>point_granularity</th>\n",
       "      <th>policyID and co</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>119736</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.0</td>\n",
       "      <td>498960.00</td>\n",
       "      <td>792148.90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9979.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.102261</td>\n",
       "      <td>-81.711777</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>1</td>\n",
       "      <td>119736 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>448094</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.3</td>\n",
       "      <td>1322376.30</td>\n",
       "      <td>1438163.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063936</td>\n",
       "      <td>-81.707664</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Masonry</td>\n",
       "      <td>3</td>\n",
       "      <td>448094 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>206893</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.4</td>\n",
       "      <td>190724.40</td>\n",
       "      <td>192476.78</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.089579</td>\n",
       "      <td>-81.700455</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>206893 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>333743</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>79520.76</td>\n",
       "      <td>86854.48</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.063236</td>\n",
       "      <td>-81.707703</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>3</td>\n",
       "      <td>333743 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>172534</td>\n",
       "      <td>FL</td>\n",
       "      <td>CLAY COUNTY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>254281.5</td>\n",
       "      <td>254281.50</td>\n",
       "      <td>246144.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.060614</td>\n",
       "      <td>-81.702675</td>\n",
       "      <td>Residential</td>\n",
       "      <td>Wood</td>\n",
       "      <td>1</td>\n",
       "      <td>172534 CLAY COUNTY</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   policyID statecode       county  eq_site_limit  hu_site_limit  \\\n",
       "0    119736        FL  CLAY COUNTY       498960.0      498960.00   \n",
       "1    448094        FL  CLAY COUNTY      1322376.3     1322376.30   \n",
       "2    206893        FL  CLAY COUNTY       190724.4      190724.40   \n",
       "3    333743        FL  CLAY COUNTY            0.0       79520.76   \n",
       "4    172534        FL  CLAY COUNTY            0.0      254281.50   \n",
       "\n",
       "   fl_site_limit  fr_site_limit    tiv_2011    tiv_2012  eq_site_deductible  \\\n",
       "0       498960.0       498960.0   498960.00   792148.90                 0.0   \n",
       "1      1322376.3      1322376.3  1322376.30  1438163.57                 0.0   \n",
       "2       190724.4       190724.4   190724.40   192476.78                 0.0   \n",
       "3            0.0            0.0    79520.76    86854.48                 0.0   \n",
       "4            0.0       254281.5   254281.50   246144.49                 0.0   \n",
       "\n",
       "   hu_site_deductible  fl_site_deductible  fr_site_deductible  point_latitude  \\\n",
       "0              9979.2                 0.0                   0       30.102261   \n",
       "1                 0.0                 0.0                   0       30.063936   \n",
       "2                 0.0                 0.0                   0       30.089579   \n",
       "3                 0.0                 0.0                   0       30.063236   \n",
       "4                 0.0                 0.0                   0       30.060614   \n",
       "\n",
       "   point_longitude         line construction  point_granularity  \\\n",
       "0       -81.711777  Residential      Masonry                  1   \n",
       "1       -81.707664  Residential      Masonry                  3   \n",
       "2       -81.700455  Residential         Wood                  1   \n",
       "3       -81.707703  Residential         Wood                  3   \n",
       "4       -81.702675  Residential         Wood                  1   \n",
       "\n",
       "      policyID and co  \n",
       "0  119736 CLAY COUNTY  \n",
       "1  448094 CLAY COUNTY  \n",
       "2  206893 CLAY COUNTY  \n",
       "3  333743 CLAY COUNTY  \n",
       "4  172534 CLAY COUNTY  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#dropna is used to drop null values\n",
    "new.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(36634, 19)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.dropna(how=\"any\").shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "#working with plots\n",
    "milk=pd.read_csv(\"https://raw.githubusercontent.com/ricardoscr/UW-Data-Science-Certificate/master/02-Methods/CADairyProduction.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Cotagecheese.Prod</th>\n",
       "      <th>Icecream.Prod</th>\n",
       "      <th>Milk.Prod</th>\n",
       "      <th>N.CA.Fat.Price</th>\n",
       "      <th>Month.Count</th>\n",
       "      <th>monthNumSqred</th>\n",
       "      <th>monthNumCubed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1995</td>\n",
       "      <td>Jan</td>\n",
       "      <td>4.370</td>\n",
       "      <td>51.595</td>\n",
       "      <td>2.112</td>\n",
       "      <td>0.9803</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1995</td>\n",
       "      <td>Feb</td>\n",
       "      <td>3.695</td>\n",
       "      <td>56.086</td>\n",
       "      <td>1.932</td>\n",
       "      <td>0.8924</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1995</td>\n",
       "      <td>Mar</td>\n",
       "      <td>4.538</td>\n",
       "      <td>68.453</td>\n",
       "      <td>2.162</td>\n",
       "      <td>0.8924</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1995</td>\n",
       "      <td>Apr</td>\n",
       "      <td>4.280</td>\n",
       "      <td>65.722</td>\n",
       "      <td>2.130</td>\n",
       "      <td>0.8967</td>\n",
       "      <td>4</td>\n",
       "      <td>16</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1995</td>\n",
       "      <td>May</td>\n",
       "      <td>4.470</td>\n",
       "      <td>73.730</td>\n",
       "      <td>2.227</td>\n",
       "      <td>0.8967</td>\n",
       "      <td>5</td>\n",
       "      <td>25</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1995</td>\n",
       "      <td>Jun</td>\n",
       "      <td>4.238</td>\n",
       "      <td>77.994</td>\n",
       "      <td>2.124</td>\n",
       "      <td>0.9160</td>\n",
       "      <td>6</td>\n",
       "      <td>36</td>\n",
       "      <td>216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1995</td>\n",
       "      <td>Jul</td>\n",
       "      <td>4.377</td>\n",
       "      <td>81.475</td>\n",
       "      <td>2.184</td>\n",
       "      <td>0.9160</td>\n",
       "      <td>7</td>\n",
       "      <td>49</td>\n",
       "      <td>343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1995</td>\n",
       "      <td>Aug</td>\n",
       "      <td>4.368</td>\n",
       "      <td>74.981</td>\n",
       "      <td>2.152</td>\n",
       "      <td>0.8934</td>\n",
       "      <td>8</td>\n",
       "      <td>64</td>\n",
       "      <td>512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1995</td>\n",
       "      <td>Sep</td>\n",
       "      <td>3.917</td>\n",
       "      <td>61.530</td>\n",
       "      <td>2.062</td>\n",
       "      <td>0.8934</td>\n",
       "      <td>9</td>\n",
       "      <td>81</td>\n",
       "      <td>729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1995</td>\n",
       "      <td>Oct</td>\n",
       "      <td>4.078</td>\n",
       "      <td>60.022</td>\n",
       "      <td>2.121</td>\n",
       "      <td>0.9434</td>\n",
       "      <td>10</td>\n",
       "      <td>100</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1995</td>\n",
       "      <td>Nov</td>\n",
       "      <td>3.611</td>\n",
       "      <td>52.772</td>\n",
       "      <td>2.030</td>\n",
       "      <td>0.9434</td>\n",
       "      <td>11</td>\n",
       "      <td>121</td>\n",
       "      <td>1331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1995</td>\n",
       "      <td>Dec</td>\n",
       "      <td>3.591</td>\n",
       "      <td>50.850</td>\n",
       "      <td>2.091</td>\n",
       "      <td>1.0811</td>\n",
       "      <td>12</td>\n",
       "      <td>144</td>\n",
       "      <td>1728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1996</td>\n",
       "      <td>Jan</td>\n",
       "      <td>3.698</td>\n",
       "      <td>53.116</td>\n",
       "      <td>2.109</td>\n",
       "      <td>1.0811</td>\n",
       "      <td>13</td>\n",
       "      <td>169</td>\n",
       "      <td>2197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1996</td>\n",
       "      <td>Feb</td>\n",
       "      <td>3.429</td>\n",
       "      <td>57.463</td>\n",
       "      <td>1.996</td>\n",
       "      <td>1.1022</td>\n",
       "      <td>14</td>\n",
       "      <td>196</td>\n",
       "      <td>2744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1996</td>\n",
       "      <td>Mar</td>\n",
       "      <td>3.717</td>\n",
       "      <td>68.929</td>\n",
       "      <td>2.173</td>\n",
       "      <td>1.1022</td>\n",
       "      <td>15</td>\n",
       "      <td>225</td>\n",
       "      <td>3375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1996</td>\n",
       "      <td>Apr</td>\n",
       "      <td>3.688</td>\n",
       "      <td>69.673</td>\n",
       "      <td>2.163</td>\n",
       "      <td>1.0480</td>\n",
       "      <td>16</td>\n",
       "      <td>256</td>\n",
       "      <td>4096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1996</td>\n",
       "      <td>May</td>\n",
       "      <td>3.897</td>\n",
       "      <td>77.387</td>\n",
       "      <td>2.233</td>\n",
       "      <td>1.0480</td>\n",
       "      <td>17</td>\n",
       "      <td>289</td>\n",
       "      <td>4913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1996</td>\n",
       "      <td>Jun</td>\n",
       "      <td>3.756</td>\n",
       "      <td>86.814</td>\n",
       "      <td>2.142</td>\n",
       "      <td>1.0730</td>\n",
       "      <td>18</td>\n",
       "      <td>324</td>\n",
       "      <td>5832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1996</td>\n",
       "      <td>Jul</td>\n",
       "      <td>4.099</td>\n",
       "      <td>83.006</td>\n",
       "      <td>2.182</td>\n",
       "      <td>1.0730</td>\n",
       "      <td>19</td>\n",
       "      <td>361</td>\n",
       "      <td>6859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1996</td>\n",
       "      <td>Aug</td>\n",
       "      <td>3.979</td>\n",
       "      <td>79.260</td>\n",
       "      <td>2.129</td>\n",
       "      <td>1.2333</td>\n",
       "      <td>20</td>\n",
       "      <td>400</td>\n",
       "      <td>8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1996</td>\n",
       "      <td>Sep</td>\n",
       "      <td>3.730</td>\n",
       "      <td>69.216</td>\n",
       "      <td>2.138</td>\n",
       "      <td>1.2333</td>\n",
       "      <td>21</td>\n",
       "      <td>441</td>\n",
       "      <td>9261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1996</td>\n",
       "      <td>Oct</td>\n",
       "      <td>4.214</td>\n",
       "      <td>64.556</td>\n",
       "      <td>2.215</td>\n",
       "      <td>1.3720</td>\n",
       "      <td>22</td>\n",
       "      <td>484</td>\n",
       "      <td>10648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1996</td>\n",
       "      <td>Nov</td>\n",
       "      <td>4.418</td>\n",
       "      <td>54.378</td>\n",
       "      <td>2.156</td>\n",
       "      <td>1.3720</td>\n",
       "      <td>23</td>\n",
       "      <td>529</td>\n",
       "      <td>12167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1996</td>\n",
       "      <td>Dec</td>\n",
       "      <td>3.323</td>\n",
       "      <td>53.291</td>\n",
       "      <td>2.212</td>\n",
       "      <td>1.3974</td>\n",
       "      <td>24</td>\n",
       "      <td>576</td>\n",
       "      <td>13824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1997</td>\n",
       "      <td>Jan</td>\n",
       "      <td>3.761</td>\n",
       "      <td>55.565</td>\n",
       "      <td>2.177</td>\n",
       "      <td>1.3974</td>\n",
       "      <td>25</td>\n",
       "      <td>625</td>\n",
       "      <td>15625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1997</td>\n",
       "      <td>Feb</td>\n",
       "      <td>3.404</td>\n",
       "      <td>58.962</td>\n",
       "      <td>2.028</td>\n",
       "      <td>1.0004</td>\n",
       "      <td>26</td>\n",
       "      <td>676</td>\n",
       "      <td>17576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1997</td>\n",
       "      <td>Mar</td>\n",
       "      <td>3.552</td>\n",
       "      <td>72.866</td>\n",
       "      <td>2.361</td>\n",
       "      <td>1.0004</td>\n",
       "      <td>27</td>\n",
       "      <td>729</td>\n",
       "      <td>19683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1997</td>\n",
       "      <td>Apr</td>\n",
       "      <td>3.489</td>\n",
       "      <td>74.965</td>\n",
       "      <td>2.358</td>\n",
       "      <td>1.0004</td>\n",
       "      <td>28</td>\n",
       "      <td>784</td>\n",
       "      <td>21952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1997</td>\n",
       "      <td>May</td>\n",
       "      <td>3.398</td>\n",
       "      <td>75.425</td>\n",
       "      <td>2.417</td>\n",
       "      <td>1.0004</td>\n",
       "      <td>29</td>\n",
       "      <td>841</td>\n",
       "      <td>24389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1997</td>\n",
       "      <td>Jun</td>\n",
       "      <td>3.670</td>\n",
       "      <td>85.133</td>\n",
       "      <td>2.314</td>\n",
       "      <td>1.0247</td>\n",
       "      <td>30</td>\n",
       "      <td>900</td>\n",
       "      <td>27000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2011</td>\n",
       "      <td>Jul</td>\n",
       "      <td>2.790</td>\n",
       "      <td>89.326</td>\n",
       "      <td>3.535</td>\n",
       "      <td>2.4143</td>\n",
       "      <td>199</td>\n",
       "      <td>39601</td>\n",
       "      <td>7880599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2011</td>\n",
       "      <td>Aug</td>\n",
       "      <td>3.429</td>\n",
       "      <td>89.949</td>\n",
       "      <td>3.502</td>\n",
       "      <td>2.2816</td>\n",
       "      <td>200</td>\n",
       "      <td>40000</td>\n",
       "      <td>8000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2011</td>\n",
       "      <td>Sep</td>\n",
       "      <td>2.328</td>\n",
       "      <td>76.134</td>\n",
       "      <td>3.312</td>\n",
       "      <td>2.3504</td>\n",
       "      <td>201</td>\n",
       "      <td>40401</td>\n",
       "      <td>8120601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2011</td>\n",
       "      <td>Oct</td>\n",
       "      <td>2.730</td>\n",
       "      <td>67.334</td>\n",
       "      <td>3.428</td>\n",
       "      <td>2.2768</td>\n",
       "      <td>202</td>\n",
       "      <td>40804</td>\n",
       "      <td>8242408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>2011</td>\n",
       "      <td>Nov</td>\n",
       "      <td>2.508</td>\n",
       "      <td>60.303</td>\n",
       "      <td>3.343</td>\n",
       "      <td>1.9583</td>\n",
       "      <td>203</td>\n",
       "      <td>41209</td>\n",
       "      <td>8365427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2011</td>\n",
       "      <td>Dec</td>\n",
       "      <td>2.151</td>\n",
       "      <td>52.829</td>\n",
       "      <td>3.496</td>\n",
       "      <td>2.0555</td>\n",
       "      <td>204</td>\n",
       "      <td>41616</td>\n",
       "      <td>8489664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>2012</td>\n",
       "      <td>Jan</td>\n",
       "      <td>2.493</td>\n",
       "      <td>69.463</td>\n",
       "      <td>3.617</td>\n",
       "      <td>1.8160</td>\n",
       "      <td>205</td>\n",
       "      <td>42025</td>\n",
       "      <td>8615125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>2012</td>\n",
       "      <td>Feb</td>\n",
       "      <td>2.218</td>\n",
       "      <td>67.259</td>\n",
       "      <td>3.506</td>\n",
       "      <td>1.7706</td>\n",
       "      <td>206</td>\n",
       "      <td>42436</td>\n",
       "      <td>8741816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>2012</td>\n",
       "      <td>Mar</td>\n",
       "      <td>2.788</td>\n",
       "      <td>78.959</td>\n",
       "      <td>3.804</td>\n",
       "      <td>1.6230</td>\n",
       "      <td>207</td>\n",
       "      <td>42849</td>\n",
       "      <td>8869743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>2012</td>\n",
       "      <td>Apr</td>\n",
       "      <td>2.602</td>\n",
       "      <td>82.236</td>\n",
       "      <td>3.632</td>\n",
       "      <td>1.5646</td>\n",
       "      <td>208</td>\n",
       "      <td>43264</td>\n",
       "      <td>8998912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>2012</td>\n",
       "      <td>May</td>\n",
       "      <td>2.602</td>\n",
       "      <td>87.093</td>\n",
       "      <td>3.744</td>\n",
       "      <td>1.6010</td>\n",
       "      <td>209</td>\n",
       "      <td>43681</td>\n",
       "      <td>9129329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>2012</td>\n",
       "      <td>Jun</td>\n",
       "      <td>2.816</td>\n",
       "      <td>88.012</td>\n",
       "      <td>3.523</td>\n",
       "      <td>1.4395</td>\n",
       "      <td>210</td>\n",
       "      <td>44100</td>\n",
       "      <td>9261000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>2012</td>\n",
       "      <td>Jul</td>\n",
       "      <td>2.893</td>\n",
       "      <td>85.400</td>\n",
       "      <td>3.498</td>\n",
       "      <td>1.5269</td>\n",
       "      <td>211</td>\n",
       "      <td>44521</td>\n",
       "      <td>9393931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>2012</td>\n",
       "      <td>Aug</td>\n",
       "      <td>3.044</td>\n",
       "      <td>80.328</td>\n",
       "      <td>3.304</td>\n",
       "      <td>1.6762</td>\n",
       "      <td>212</td>\n",
       "      <td>44944</td>\n",
       "      <td>9528128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>2012</td>\n",
       "      <td>Sep</td>\n",
       "      <td>2.924</td>\n",
       "      <td>71.003</td>\n",
       "      <td>3.184</td>\n",
       "      <td>1.8704</td>\n",
       "      <td>213</td>\n",
       "      <td>45369</td>\n",
       "      <td>9663597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>2012</td>\n",
       "      <td>Oct</td>\n",
       "      <td>2.641</td>\n",
       "      <td>70.840</td>\n",
       "      <td>3.307</td>\n",
       "      <td>2.0578</td>\n",
       "      <td>214</td>\n",
       "      <td>45796</td>\n",
       "      <td>9800344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>2012</td>\n",
       "      <td>Nov</td>\n",
       "      <td>2.347</td>\n",
       "      <td>56.506</td>\n",
       "      <td>3.264</td>\n",
       "      <td>2.1644</td>\n",
       "      <td>215</td>\n",
       "      <td>46225</td>\n",
       "      <td>9938375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>2012</td>\n",
       "      <td>Dec</td>\n",
       "      <td>2.455</td>\n",
       "      <td>53.870</td>\n",
       "      <td>3.418</td>\n",
       "      <td>2.1070</td>\n",
       "      <td>216</td>\n",
       "      <td>46656</td>\n",
       "      <td>10077696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2013</td>\n",
       "      <td>Jan</td>\n",
       "      <td>2.282</td>\n",
       "      <td>62.612</td>\n",
       "      <td>3.462</td>\n",
       "      <td>1.7744</td>\n",
       "      <td>217</td>\n",
       "      <td>47089</td>\n",
       "      <td>10218313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>2013</td>\n",
       "      <td>Feb</td>\n",
       "      <td>1.941</td>\n",
       "      <td>66.274</td>\n",
       "      <td>3.231</td>\n",
       "      <td>1.6224</td>\n",
       "      <td>218</td>\n",
       "      <td>47524</td>\n",
       "      <td>10360232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>2013</td>\n",
       "      <td>Mar</td>\n",
       "      <td>2.150</td>\n",
       "      <td>75.770</td>\n",
       "      <td>3.676</td>\n",
       "      <td>1.6968</td>\n",
       "      <td>219</td>\n",
       "      <td>47961</td>\n",
       "      <td>10503459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>2013</td>\n",
       "      <td>Apr</td>\n",
       "      <td>2.217</td>\n",
       "      <td>76.396</td>\n",
       "      <td>3.622</td>\n",
       "      <td>1.7444</td>\n",
       "      <td>220</td>\n",
       "      <td>48400</td>\n",
       "      <td>10648000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>2013</td>\n",
       "      <td>May</td>\n",
       "      <td>2.341</td>\n",
       "      <td>80.899</td>\n",
       "      <td>3.720</td>\n",
       "      <td>1.8552</td>\n",
       "      <td>221</td>\n",
       "      <td>48841</td>\n",
       "      <td>10793861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2013</td>\n",
       "      <td>Jun</td>\n",
       "      <td>2.694</td>\n",
       "      <td>92.091</td>\n",
       "      <td>3.489</td>\n",
       "      <td>1.8314</td>\n",
       "      <td>222</td>\n",
       "      <td>49284</td>\n",
       "      <td>10941048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>2013</td>\n",
       "      <td>Jul</td>\n",
       "      <td>2.433</td>\n",
       "      <td>84.026</td>\n",
       "      <td>3.373</td>\n",
       "      <td>1.6923</td>\n",
       "      <td>223</td>\n",
       "      <td>49729</td>\n",
       "      <td>11089567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>2013</td>\n",
       "      <td>Aug</td>\n",
       "      <td>2.169</td>\n",
       "      <td>78.382</td>\n",
       "      <td>3.400</td>\n",
       "      <td>1.6273</td>\n",
       "      <td>224</td>\n",
       "      <td>50176</td>\n",
       "      <td>11239424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>2013</td>\n",
       "      <td>Sep</td>\n",
       "      <td>2.193</td>\n",
       "      <td>74.871</td>\n",
       "      <td>3.197</td>\n",
       "      <td>1.5519</td>\n",
       "      <td>225</td>\n",
       "      <td>50625</td>\n",
       "      <td>11390625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>2013</td>\n",
       "      <td>Oct</td>\n",
       "      <td>2.284</td>\n",
       "      <td>70.011</td>\n",
       "      <td>3.338</td>\n",
       "      <td>1.5566</td>\n",
       "      <td>226</td>\n",
       "      <td>51076</td>\n",
       "      <td>11543176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>2013</td>\n",
       "      <td>Nov</td>\n",
       "      <td>1.865</td>\n",
       "      <td>61.394</td>\n",
       "      <td>3.275</td>\n",
       "      <td>1.7537</td>\n",
       "      <td>227</td>\n",
       "      <td>51529</td>\n",
       "      <td>11697083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>2013</td>\n",
       "      <td>Dec</td>\n",
       "      <td>2.345</td>\n",
       "      <td>53.653</td>\n",
       "      <td>3.473</td>\n",
       "      <td>1.6747</td>\n",
       "      <td>228</td>\n",
       "      <td>51984</td>\n",
       "      <td>11852352</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>228 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year Month  Cotagecheese.Prod  Icecream.Prod  Milk.Prod  N.CA.Fat.Price  \\\n",
       "0    1995   Jan              4.370         51.595      2.112          0.9803   \n",
       "1    1995   Feb              3.695         56.086      1.932          0.8924   \n",
       "2    1995   Mar              4.538         68.453      2.162          0.8924   \n",
       "3    1995   Apr              4.280         65.722      2.130          0.8967   \n",
       "4    1995   May              4.470         73.730      2.227          0.8967   \n",
       "5    1995   Jun              4.238         77.994      2.124          0.9160   \n",
       "6    1995   Jul              4.377         81.475      2.184          0.9160   \n",
       "7    1995   Aug              4.368         74.981      2.152          0.8934   \n",
       "8    1995   Sep              3.917         61.530      2.062          0.8934   \n",
       "9    1995   Oct              4.078         60.022      2.121          0.9434   \n",
       "10   1995   Nov              3.611         52.772      2.030          0.9434   \n",
       "11   1995   Dec              3.591         50.850      2.091          1.0811   \n",
       "12   1996   Jan              3.698         53.116      2.109          1.0811   \n",
       "13   1996   Feb              3.429         57.463      1.996          1.1022   \n",
       "14   1996   Mar              3.717         68.929      2.173          1.1022   \n",
       "15   1996   Apr              3.688         69.673      2.163          1.0480   \n",
       "16   1996   May              3.897         77.387      2.233          1.0480   \n",
       "17   1996   Jun              3.756         86.814      2.142          1.0730   \n",
       "18   1996   Jul              4.099         83.006      2.182          1.0730   \n",
       "19   1996   Aug              3.979         79.260      2.129          1.2333   \n",
       "20   1996   Sep              3.730         69.216      2.138          1.2333   \n",
       "21   1996   Oct              4.214         64.556      2.215          1.3720   \n",
       "22   1996   Nov              4.418         54.378      2.156          1.3720   \n",
       "23   1996   Dec              3.323         53.291      2.212          1.3974   \n",
       "24   1997   Jan              3.761         55.565      2.177          1.3974   \n",
       "25   1997   Feb              3.404         58.962      2.028          1.0004   \n",
       "26   1997   Mar              3.552         72.866      2.361          1.0004   \n",
       "27   1997   Apr              3.489         74.965      2.358          1.0004   \n",
       "28   1997   May              3.398         75.425      2.417          1.0004   \n",
       "29   1997   Jun              3.670         85.133      2.314          1.0247   \n",
       "..    ...   ...                ...            ...        ...             ...   \n",
       "198  2011   Jul              2.790         89.326      3.535          2.4143   \n",
       "199  2011   Aug              3.429         89.949      3.502          2.2816   \n",
       "200  2011   Sep              2.328         76.134      3.312          2.3504   \n",
       "201  2011   Oct              2.730         67.334      3.428          2.2768   \n",
       "202  2011   Nov              2.508         60.303      3.343          1.9583   \n",
       "203  2011   Dec              2.151         52.829      3.496          2.0555   \n",
       "204  2012   Jan              2.493         69.463      3.617          1.8160   \n",
       "205  2012   Feb              2.218         67.259      3.506          1.7706   \n",
       "206  2012   Mar              2.788         78.959      3.804          1.6230   \n",
       "207  2012   Apr              2.602         82.236      3.632          1.5646   \n",
       "208  2012   May              2.602         87.093      3.744          1.6010   \n",
       "209  2012   Jun              2.816         88.012      3.523          1.4395   \n",
       "210  2012   Jul              2.893         85.400      3.498          1.5269   \n",
       "211  2012   Aug              3.044         80.328      3.304          1.6762   \n",
       "212  2012   Sep              2.924         71.003      3.184          1.8704   \n",
       "213  2012   Oct              2.641         70.840      3.307          2.0578   \n",
       "214  2012   Nov              2.347         56.506      3.264          2.1644   \n",
       "215  2012   Dec              2.455         53.870      3.418          2.1070   \n",
       "216  2013   Jan              2.282         62.612      3.462          1.7744   \n",
       "217  2013   Feb              1.941         66.274      3.231          1.6224   \n",
       "218  2013   Mar              2.150         75.770      3.676          1.6968   \n",
       "219  2013   Apr              2.217         76.396      3.622          1.7444   \n",
       "220  2013   May              2.341         80.899      3.720          1.8552   \n",
       "221  2013   Jun              2.694         92.091      3.489          1.8314   \n",
       "222  2013   Jul              2.433         84.026      3.373          1.6923   \n",
       "223  2013   Aug              2.169         78.382      3.400          1.6273   \n",
       "224  2013   Sep              2.193         74.871      3.197          1.5519   \n",
       "225  2013   Oct              2.284         70.011      3.338          1.5566   \n",
       "226  2013   Nov              1.865         61.394      3.275          1.7537   \n",
       "227  2013   Dec              2.345         53.653      3.473          1.6747   \n",
       "\n",
       "     Month.Count  monthNumSqred  monthNumCubed  \n",
       "0              1              1              1  \n",
       "1              2              4              8  \n",
       "2              3              9             27  \n",
       "3              4             16             64  \n",
       "4              5             25            125  \n",
       "5              6             36            216  \n",
       "6              7             49            343  \n",
       "7              8             64            512  \n",
       "8              9             81            729  \n",
       "9             10            100           1000  \n",
       "10            11            121           1331  \n",
       "11            12            144           1728  \n",
       "12            13            169           2197  \n",
       "13            14            196           2744  \n",
       "14            15            225           3375  \n",
       "15            16            256           4096  \n",
       "16            17            289           4913  \n",
       "17            18            324           5832  \n",
       "18            19            361           6859  \n",
       "19            20            400           8000  \n",
       "20            21            441           9261  \n",
       "21            22            484          10648  \n",
       "22            23            529          12167  \n",
       "23            24            576          13824  \n",
       "24            25            625          15625  \n",
       "25            26            676          17576  \n",
       "26            27            729          19683  \n",
       "27            28            784          21952  \n",
       "28            29            841          24389  \n",
       "29            30            900          27000  \n",
       "..           ...            ...            ...  \n",
       "198          199          39601        7880599  \n",
       "199          200          40000        8000000  \n",
       "200          201          40401        8120601  \n",
       "201          202          40804        8242408  \n",
       "202          203          41209        8365427  \n",
       "203          204          41616        8489664  \n",
       "204          205          42025        8615125  \n",
       "205          206          42436        8741816  \n",
       "206          207          42849        8869743  \n",
       "207          208          43264        8998912  \n",
       "208          209          43681        9129329  \n",
       "209          210          44100        9261000  \n",
       "210          211          44521        9393931  \n",
       "211          212          44944        9528128  \n",
       "212          213          45369        9663597  \n",
       "213          214          45796        9800344  \n",
       "214          215          46225        9938375  \n",
       "215          216          46656       10077696  \n",
       "216          217          47089       10218313  \n",
       "217          218          47524       10360232  \n",
       "218          219          47961       10503459  \n",
       "219          220          48400       10648000  \n",
       "220          221          48841       10793861  \n",
       "221          222          49284       10941048  \n",
       "222          223          49729       11089567  \n",
       "223          224          50176       11239424  \n",
       "224          225          50625       11390625  \n",
       "225          226          51076       11543176  \n",
       "226          227          51529       11697083  \n",
       "227          228          51984       11852352  \n",
       "\n",
       "[228 rows x 9 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "milk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3702ffb790>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "milk.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'milk production')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(milk[\"Year\"],milk[\"Milk.Prod\"])\n",
    "plt.xlabel(\"year\")\n",
    "plt.ylabel(\"milk production\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3702465150>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "milk.plot(x=\"Year\", y=\"Milk.Prod\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(228, 9)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "milk.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f17c6735c10>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#scatter grpah\n",
    "milk.plot(kind=\"scatter\", x=\"Year\",y=\"Milk.Prod\",color=\"green\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({\n",
    "    'name':['john','mary','peter','jeff','bill','lisa','jose'],\n",
    "    'age':[23,78,22,19,45,33,20],\n",
    "    'gender':['M','F','M','M','M','F','M'],\n",
    "    'state':['california','dc','california','dc','california','texas','texas'],\n",
    "    'num_children':[2,0,0,3,2,1,4],\n",
    "    'num_pets':[5,1,0,5,2,2,3]\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>name</th>\n",
       "      <th>num_children</th>\n",
       "      <th>num_pets</th>\n",
       "      <th>state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23</td>\n",
       "      <td>M</td>\n",
       "      <td>john</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>california</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>78</td>\n",
       "      <td>F</td>\n",
       "      <td>mary</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22</td>\n",
       "      <td>M</td>\n",
       "      <td>peter</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>california</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19</td>\n",
       "      <td>M</td>\n",
       "      <td>jeff</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>dc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>45</td>\n",
       "      <td>M</td>\n",
       "      <td>bill</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>california</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>33</td>\n",
       "      <td>F</td>\n",
       "      <td>lisa</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>texas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20</td>\n",
       "      <td>M</td>\n",
       "      <td>jose</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>texas</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age gender   name  num_children  num_pets       state\n",
       "0   23      M   john             2         5  california\n",
       "1   78      F   mary             0         1          dc\n",
       "2   22      M  peter             0         0  california\n",
       "3   19      M   jeff             3         5          dc\n",
       "4   45      M   bill             2         2  california\n",
       "5   33      F   lisa             1         2       texas\n",
       "6   20      M   jose             4         3       texas"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3702396f90>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#default -plot with axis\n",
    "df.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f17ced0f450>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind=\"bar\",x=\"age\",y=\"num_pets\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3702a760d0>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind=\"scatter\",x=\"age\",y=\"num_children\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind=\"bar\",x=\"age\",y=\"num_children\")\n",
    "plt.savefig(\"output.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f37020fa0d0>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[[\"age\"]].plot(kind=\"hist\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f17c4168e90>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['age']].plot(kind='hist',bins=[0,10,20,30,40,50,60,70,80],rwidth=0.8)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#pie chart\n",
    "import matplotlib.pyplot as plt\n",
    "slices=[7,3,2,1]\n",
    "activities=[\"sleeping\",\"study\",\"eating\",\"running\"]\n",
    "cols = ['c','g','r','b']\n",
    "\n",
    "plt.pie(slices,\n",
    "        labels=activities,\n",
    "        colors=cols,\n",
    "        startangle=90,\n",
    "        shadow= True,\n",
    "        explode=(0,0.1,0,0),\n",
    "        autopct='%1.1f%%')\n",
    "\n",
    "plt.title('Interesting Graph\\nCheck it out')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f17c3b11990>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#only numerical values will be shown in the graph\n",
    "df.plot(kind=\"bar\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "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>employee</th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>b</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>c</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  employee  salary\n",
       "0        a    1000\n",
       "1        b    2000\n",
       "2        c    3000\n",
       "3        a    1000"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merging and joins\n",
    "dataf=pd.DataFrame({\n",
    "    \"employee\":[\"a\",\"b\",\"c\",\"a\"],\n",
    "    \"salary\":[1000,2000,3000,1000]\n",
    "})\n",
    "dataf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>age</th>\n",
       "      <th>employee</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  age employee\n",
       "0  10        a\n",
       "1   6        d\n",
       "2   3        c\n",
       "3   5        a"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2=pd.DataFrame({\n",
    "    \"employee\":[\"a\",\"d\",\"c\",\"a\"],\n",
    "    \"age\":[\"10\",\"6\",\"3\",\"5\"]\n",
    "})\n",
    "data2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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>employee</th>\n",
       "      <th>salary</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>c</td>\n",
       "      <td>3000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  employee  salary age\n",
       "0        a    1000  10\n",
       "1        a    1000   5\n",
       "2        a    1000  10\n",
       "3        a    1000   5\n",
       "4        c    3000   3"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ab=pd.merge(dataf,data2, on=\"employee\")\n",
    "ab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>employee</th>\n",
       "      <th>salary</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>c</td>\n",
       "      <td>3000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  employee  salary age\n",
       "0        a    1000  10\n",
       "1        a    1000   5\n",
       "4        c    3000   3"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#fitering for duplicate values\n",
    "#by default subset value is none\n",
    "\n",
    "ab.drop_duplicates(subset=None, keep=\"first\", inplace=True)\n",
    "ab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>employee</th>\n",
       "      <th>salary</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a</td>\n",
       "      <td>4000</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>b</td>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>c</td>\n",
       "      <td>3000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>d</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  employee salary  age\n",
       "0        a   1000   10\n",
       "1        a   4000   10\n",
       "2        b   2000  NaN\n",
       "3        c   3000    3\n",
       "4        d    NaN    6"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(dataf,data2, on=\"employee\", how=\"outer\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>employee</th>\n",
       "      <th>salary</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>b</td>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>c</td>\n",
       "      <td>3000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>a</td>\n",
       "      <td>4000</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  employee salary  age\n",
       "0        a   1000   10\n",
       "1        b   2000  NaN\n",
       "2        c   3000    3\n",
       "3        a   4000   10"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.merge(dataf,data2, on=\"employee\",how=\"left\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "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>employee</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     employee\n",
       "age          \n",
       "10          1\n",
       "3           1\n",
       "6           1"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2.pivot_table(index=\"age\", aggfunc=\"count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>employee</th>\n",
       "      <th>salary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>b</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>c</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>a</td>\n",
       "      <td>4000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  employee salary\n",
       "0        a   1000\n",
       "1        b   2000\n",
       "2        c   3000\n",
       "3        a   4000"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "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>age</th>\n",
       "      <th>gender</th>\n",
       "      <th>name</th>\n",
       "      <th>num_children</th>\n",
       "      <th>num_pets</th>\n",
       "      <th>state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23</td>\n",
       "      <td>M</td>\n",
       "      <td>john</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>california</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>78</td>\n",
       "      <td>F</td>\n",
       "      <td>mary</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>dc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>22</td>\n",
       "      <td>M</td>\n",
       "      <td>peter</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>california</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19</td>\n",
       "      <td>M</td>\n",
       "      <td>jeff</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>dc</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>45</td>\n",
       "      <td>M</td>\n",
       "      <td>bill</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>california</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>33</td>\n",
       "      <td>F</td>\n",
       "      <td>lisa</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>texas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20</td>\n",
       "      <td>M</td>\n",
       "      <td>jose</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>texas</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   age gender   name  num_children  num_pets       state\n",
       "0   23      M   john             2         5  california\n",
       "1   78      F   mary             0         1          dc\n",
       "2   22      M  peter             0         0  california\n",
       "3   19      M   jeff             3         5          dc\n",
       "4   45      M   bill             2         2  california\n",
       "5   33      F   lisa             1         2       texas\n",
       "6   20      M   jose             4         3       texas"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#data visualization using seaborn\n",
    "import seaborn as sns\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f17b19a0a90>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot.hexbin(x='age',y='num_pets',gridsize=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}