{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dd536a9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5caf0d3f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0     -0.3\n",
      "1      0.4\n",
      "2      3.9\n",
      "3      7.4\n",
      "4     12.0\n",
      "5     15.0\n",
      "6     17.2\n",
      "7     16.8\n",
      "8     13.1\n",
      "9      9.1\n",
      "10     3.7\n",
      "11     0.8\n",
      "Name: temp_C, dtype: float64\n",
      "mean: 8.258333333333333\n",
      "min: -0.3\n",
      "standard deviation: 6.520242373260415\n",
      "index of max element: 6\n",
      "values as list: [-0.3  0.4  3.9  7.4 12.  15.  17.2 16.8 13.1  9.1  3.7  0.8]\n",
      "indices of sorted Series: [ 0  1 11 10  2  3  9  4  8  5  7  6]\n",
      "cumulative sum: [-0.3  0.1  4.  11.4 23.4 38.4 55.6 72.4 85.5 94.6 98.3 99.1]\n"
     ]
    }
   ],
   "source": [
    "# the basic unit for pandas is a Series\n",
    "\n",
    "s = pd.Series([-0.3, 0.4, 3.9, 7.4, 12.0, 15.0, 17.2, 16.8, 13.1, 9.1, 3.7, 0.8], name='temp_C')\n",
    "print(s)\n",
    "print('mean:', s.mean())\n",
    "print('min:', s.min())\n",
    "print('standard deviation:', s.std())\n",
    "print('index of max element:', s.argmax())\n",
    "print('values as list:', s.values)\n",
    "print('indices of sorted Series:', s.argsort().values)\n",
    "print('cumulative sum:', s.cumsum().values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3a599847",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "jan    -0.3\n",
      "feb     0.4\n",
      "mar     3.9\n",
      "apr     7.4\n",
      "may    12.0\n",
      "jun    15.0\n",
      "jul    17.2\n",
      "aug    16.8\n",
      "sep    13.1\n",
      "oct     9.1\n",
      "nov     3.7\n",
      "dec     0.8\n",
      "Name: temp_C, dtype: float64\n",
      "9.1\n",
      "True\n"
     ]
    }
   ],
   "source": [
    "# you can set the axis to be something other than an ordered integer \n",
    "\n",
    "s2 = s.set_axis(['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec'])\n",
    "print(s2)\n",
    "print(s2['oct'])\n",
    "print('jan' in s2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e405f554",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['month', 'temp_C', 'rain_mm'], dtype='object')\n",
      "       temp_C  rain_mm\n",
      "month                 \n",
      "jan      -0.3       59\n",
      "feb       0.4       57\n",
      "mar       3.9       84\n",
      "apr       7.4      100\n",
      "may      12.0      143\n",
      "jun      15.0      153\n",
      "jul      17.2      172\n",
      "aug      16.8      164\n",
      "sep      13.1      135\n",
      "oct       9.1       89\n",
      "nov       3.7       88\n",
      "dec       0.8       80\n"
     ]
    }
   ],
   "source": [
    "# a combined Series is a data frame\n",
    "\n",
    "df = pd.DataFrame({\n",
    "  'month': ['jan', 'feb', 'mar', 'apr', 'may', 'jun',\n",
    "  'jul', 'aug', 'sep', 'oct', 'nov', 'dec'],\n",
    "  'temp_C': [-0.3, 0.4, 3.9, 7.4, 12.0, 15.0, 17.2,\n",
    "  16.8, 13.1, 9.1, 3.7, 0.8],\n",
    "  'rain_mm': [59, 57, 84, 100, 143, 153, 172, 164,\n",
    "  135, 89, 88, 80]})\n",
    "\n",
    "print(df.columns)\n",
    "df = df.set_index('month')\n",
    "print(df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "30b049bb",
   "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>temp_C</th>\n",
       "      <th>rain_mm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8.258333</td>\n",
       "      <td>110.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6.520242</td>\n",
       "      <td>40.824087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-0.300000</td>\n",
       "      <td>57.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.975000</td>\n",
       "      <td>83.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>8.250000</td>\n",
       "      <td>94.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>13.575000</td>\n",
       "      <td>145.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>17.200000</td>\n",
       "      <td>172.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          temp_C     rain_mm\n",
       "count  12.000000   12.000000\n",
       "mean    8.258333  110.333333\n",
       "std     6.520242   40.824087\n",
       "min    -0.300000   57.000000\n",
       "25%     2.975000   83.000000\n",
       "50%     8.250000   94.500000\n",
       "75%    13.575000  145.500000\n",
       "max    17.200000  172.000000"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6c02a6a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "month\n",
       "jan     59\n",
       "feb     57\n",
       "mar     84\n",
       "apr    100\n",
       "may    143\n",
       "jun    153\n",
       "jul    172\n",
       "aug    164\n",
       "sep    135\n",
       "oct     89\n",
       "nov     88\n",
       "dec     80\n",
       "Name: rain_mm, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.rain_mm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dbc4bae5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "month\n",
       "jan   -0.3\n",
       "feb    0.4\n",
       "mar    3.9\n",
       "oct    9.1\n",
       "nov    3.7\n",
       "dec    0.8\n",
       "Name: temp_C, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df.rain_mm < 100, 'temp_C']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "15de39b5",
   "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>temp_C</th>\n",
       "      <th>rain_mm</th>\n",
       "      <th>temp_min_C</th>\n",
       "      <th>temp_max_C</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>jan</th>\n",
       "      <td>-0.3</td>\n",
       "      <td>59</td>\n",
       "      <td>-3.0</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>feb</th>\n",
       "      <td>0.4</td>\n",
       "      <td>57</td>\n",
       "      <td>-2.5</td>\n",
       "      <td>3.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mar</th>\n",
       "      <td>3.9</td>\n",
       "      <td>84</td>\n",
       "      <td>0.6</td>\n",
       "      <td>7.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>apr</th>\n",
       "      <td>7.4</td>\n",
       "      <td>100</td>\n",
       "      <td>3.5</td>\n",
       "      <td>11.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>may</th>\n",
       "      <td>12.0</td>\n",
       "      <td>143</td>\n",
       "      <td>7.8</td>\n",
       "      <td>16.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jun</th>\n",
       "      <td>15.0</td>\n",
       "      <td>153</td>\n",
       "      <td>11.0</td>\n",
       "      <td>19.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jul</th>\n",
       "      <td>17.2</td>\n",
       "      <td>172</td>\n",
       "      <td>13.1</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>aug</th>\n",
       "      <td>16.8</td>\n",
       "      <td>164</td>\n",
       "      <td>13.0</td>\n",
       "      <td>20.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sep</th>\n",
       "      <td>13.1</td>\n",
       "      <td>135</td>\n",
       "      <td>9.7</td>\n",
       "      <td>16.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oct</th>\n",
       "      <td>9.1</td>\n",
       "      <td>89</td>\n",
       "      <td>6.2</td>\n",
       "      <td>12.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nov</th>\n",
       "      <td>3.7</td>\n",
       "      <td>88</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dec</th>\n",
       "      <td>0.8</td>\n",
       "      <td>80</td>\n",
       "      <td>-1.9</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     temp_C  rain_mm  temp_min_C  temp_max_C\n",
       "jan    -0.3       59        -3.0         2.5\n",
       "feb     0.4       57        -2.5         3.3\n",
       "mar     3.9       84         0.6         7.3\n",
       "apr     7.4      100         3.5        11.5\n",
       "may    12.0      143         7.8        16.3\n",
       "jun    15.0      153        11.0        19.2\n",
       "jul    17.2      172        13.1        21.6\n",
       "aug    16.8      164        13.0        20.9\n",
       "sep    13.1      135         9.7        16.8\n",
       "oct     9.1       89         6.2        12.3\n",
       "nov     3.7       88         1.0         6.5\n",
       "dec     0.8       80        -1.9         3.5"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# concatenates\n",
    "\n",
    "df2 = pd.DataFrame({'temp_min_C': [-1.9, 1.0, 6.2, 9.7, 13.0, 13.1,\n",
    "11.0, 7.8, 3.5, 0.6, -2.5, -3.0],\n",
    "'temp_max_C': [3.5, 6.5, 12.3, 16.8, 20.9, 21.6,\n",
    "19.2, 16.3, 11.5, 7.3, 3.3, 2.5]},\n",
    "index=['dec', 'nov', 'oct', 'sep', 'aug', 'jul' ,\n",
    "'jun', 'may', 'apr', 'mar', 'feb', 'jan'])\n",
    "\n",
    "pd.concat([df, df2], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "44875603",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2.plot(y='temp_max_C', kind='bar');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e00e05ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# write to csv file\n",
    "\n",
    "df2.to_csv('weather.csv', index_label='mon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "700c77ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>congress</th>\n",
       "      <th>chamber</th>\n",
       "      <th>bioguide</th>\n",
       "      <th>firstname</th>\n",
       "      <th>middlename</th>\n",
       "      <th>lastname</th>\n",
       "      <th>suffix</th>\n",
       "      <th>birthday</th>\n",
       "      <th>state</th>\n",
       "      <th>party</th>\n",
       "      <th>incumbent</th>\n",
       "      <th>termstart</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>80</td>\n",
       "      <td>house</td>\n",
       "      <td>M000112</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>Jefferson</td>\n",
       "      <td>Mansfield</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1861-02-09</td>\n",
       "      <td>TX</td>\n",
       "      <td>D</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1947-01-03</td>\n",
       "      <td>85.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>80</td>\n",
       "      <td>house</td>\n",
       "      <td>D000448</td>\n",
       "      <td>Robert</td>\n",
       "      <td>Lee</td>\n",
       "      <td>Doughton</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1863-11-07</td>\n",
       "      <td>NC</td>\n",
       "      <td>D</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1947-01-03</td>\n",
       "      <td>83.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>80</td>\n",
       "      <td>house</td>\n",
       "      <td>S000001</td>\n",
       "      <td>Adolph</td>\n",
       "      <td>Joachim</td>\n",
       "      <td>Sabath</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1866-04-04</td>\n",
       "      <td>IL</td>\n",
       "      <td>D</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1947-01-03</td>\n",
       "      <td>80.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>80</td>\n",
       "      <td>house</td>\n",
       "      <td>E000023</td>\n",
       "      <td>Charles</td>\n",
       "      <td>Aubrey</td>\n",
       "      <td>Eaton</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1868-03-29</td>\n",
       "      <td>NJ</td>\n",
       "      <td>R</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1947-01-03</td>\n",
       "      <td>78.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>80</td>\n",
       "      <td>house</td>\n",
       "      <td>L000296</td>\n",
       "      <td>William</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lewis</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1868-09-22</td>\n",
       "      <td>KY</td>\n",
       "      <td>R</td>\n",
       "      <td>No</td>\n",
       "      <td>1947-01-03</td>\n",
       "      <td>78.3</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18630</th>\n",
       "      <td>113</td>\n",
       "      <td>senate</td>\n",
       "      <td>B000243</td>\n",
       "      <td>Max</td>\n",
       "      <td>S.</td>\n",
       "      <td>Baucus</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1937-12-10</td>\n",
       "      <td>MT</td>\n",
       "      <td>D</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2013-01-03</td>\n",
       "      <td>75.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18631</th>\n",
       "      <td>113</td>\n",
       "      <td>senate</td>\n",
       "      <td>C001099</td>\n",
       "      <td>William</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Cowan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1965-04-03</td>\n",
       "      <td>MA</td>\n",
       "      <td>D</td>\n",
       "      <td>No</td>\n",
       "      <td>2013-01-03</td>\n",
       "      <td>47.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18632</th>\n",
       "      <td>113</td>\n",
       "      <td>senate</td>\n",
       "      <td>C001100</td>\n",
       "      <td>Jeffrey</td>\n",
       "      <td>Scott</td>\n",
       "      <td>Chiesa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1961-06-21</td>\n",
       "      <td>NJ</td>\n",
       "      <td>R</td>\n",
       "      <td>No</td>\n",
       "      <td>2013-01-03</td>\n",
       "      <td>51.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18633</th>\n",
       "      <td>113</td>\n",
       "      <td>senate</td>\n",
       "      <td>K000148</td>\n",
       "      <td>John</td>\n",
       "      <td>Forbes</td>\n",
       "      <td>Kerry</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1939-12-10</td>\n",
       "      <td>MA</td>\n",
       "      <td>D</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2013-01-03</td>\n",
       "      <td>73.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18634</th>\n",
       "      <td>113</td>\n",
       "      <td>senate</td>\n",
       "      <td>L000123</td>\n",
       "      <td>Frank</td>\n",
       "      <td>R.</td>\n",
       "      <td>Lautenberg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1920-01-22</td>\n",
       "      <td>NJ</td>\n",
       "      <td>D</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2013-01-03</td>\n",
       "      <td>93.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18635 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       congress chamber bioguide firstname middlename    lastname suffix  \\\n",
       "0            80   house  M000112    Joseph  Jefferson   Mansfield    NaN   \n",
       "1            80   house  D000448    Robert        Lee    Doughton    NaN   \n",
       "2            80   house  S000001    Adolph    Joachim      Sabath    NaN   \n",
       "3            80   house  E000023   Charles     Aubrey       Eaton    NaN   \n",
       "4            80   house  L000296   William        NaN       Lewis    NaN   \n",
       "...         ...     ...      ...       ...        ...         ...    ...   \n",
       "18630       113  senate  B000243       Max         S.      Baucus    NaN   \n",
       "18631       113  senate  C001099   William        NaN       Cowan    NaN   \n",
       "18632       113  senate  C001100   Jeffrey      Scott      Chiesa    NaN   \n",
       "18633       113  senate  K000148      John     Forbes       Kerry    NaN   \n",
       "18634       113  senate  L000123     Frank         R.  Lautenberg    NaN   \n",
       "\n",
       "         birthday state party incumbent   termstart   age  \n",
       "0      1861-02-09    TX     D       Yes  1947-01-03  85.9  \n",
       "1      1863-11-07    NC     D       Yes  1947-01-03  83.2  \n",
       "2      1866-04-04    IL     D       Yes  1947-01-03  80.7  \n",
       "3      1868-03-29    NJ     R       Yes  1947-01-03  78.8  \n",
       "4      1868-09-22    KY     R        No  1947-01-03  78.3  \n",
       "...           ...   ...   ...       ...         ...   ...  \n",
       "18630  1937-12-10    MT     D       Yes  2013-01-03  75.1  \n",
       "18631  1965-04-03    MA     D        No  2013-01-03  47.8  \n",
       "18632  1961-06-21    NJ     R        No  2013-01-03  51.5  \n",
       "18633  1939-12-10    MA     D       Yes  2013-01-03  73.1  \n",
       "18634  1920-01-22    NJ     D       Yes  2013-01-03  93.0  \n",
       "\n",
       "[18635 rows x 13 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/congress-terms.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0090a8ce",
   "metadata": {},
   "source": [
    "#### US SSA Birth Data (Prof. Farr's lecture)\n",
    "\n",
    "We're going to explore some data on births in the US from the US Social Security Administration. The data we'll be using was curated by [FiveThirtyEight](https://github.com/fivethirtyeight/data/tree/master/births).\n",
    "\n",
    "The data is already in this repository in the `data` directory, but you could also download it from [here](https://raw.githubusercontent.com/fivethirtyeight/data/master/births/US_births_2000-2014_SSA.csv).\n",
    "\n",
    "```bash\n",
    "mkdir -p ../data\n",
    "wget -qO ../data/US_births_2000-2014_SSA.csv https://raw.githubusercontent.com/fivethirtyeight/data/master/births/US_births_2000-2014_SSA.csv\n",
    "```\n",
    "\n",
    "To get started we'll have to figure out how to read the data contained in the comma separated value (CSV) file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7270ab64",
   "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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>date_of_month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>9083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>8006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>11363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>13032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>12558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5474</th>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>8656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5475</th>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>7724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5476</th>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>12811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5477</th>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>13634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5478</th>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "      <td>31</td>\n",
       "      <td>3</td>\n",
       "      <td>11990</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5479 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      year  month  date_of_month  day_of_week  births\n",
       "0     2000      1              1            6    9083\n",
       "1     2000      1              2            7    8006\n",
       "2     2000      1              3            1   11363\n",
       "3     2000      1              4            2   13032\n",
       "4     2000      1              5            3   12558\n",
       "...    ...    ...            ...          ...     ...\n",
       "5474  2014     12             27            6    8656\n",
       "5475  2014     12             28            7    7724\n",
       "5476  2014     12             29            1   12811\n",
       "5477  2014     12             30            2   13634\n",
       "5478  2014     12             31            3   11990\n",
       "\n",
       "[5479 rows x 5 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/US_births_2000-2014_SSA.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aeb36023",
   "metadata": {},
   "source": [
    "The `read_csv()` function automatically parses the column names and assigns proper data types to the columns, returning a `DataFrame` object.  Please read [the docs](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html) to learn all the gory details about `DataFrames`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "774aff5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AALAVwg0AALAVwg0AALAVwg0AALCVip4uID09XdOnT1d2drYWLFhgrc/JyVFsbKzuuOMOnTlzRvHx8apdu7bV/sUXX2jOnDkKDAzUnXfeqfj4eDkcDqt96tSpSk1NVU5OjgYMGKAOHTqUab8AAIBnePTMzYULF7Rr1y6tX79eOTk5bm19+/bVo48+qrfffltjxozRk08+qQsXLkiSfvjhB/Xq1UsLFizQggULlJ+fr+nTp1v7zps3T4cOHdIf/vAH/fGPf9Qrr7yi7777rkz7BgAAPMOj4cbX11fdu3dXy5Yt3dbv3btXiYmJeu655yRJjRs3lsPh0MqVKyVJ06ZNU9u2bRUYGChJio6OVnx8vLKzs5Wfn69JkyapX79+kiR/f39FRkYqPj6+DHsGAAA8xSvm3Pj6+rotb9iwQeHh4fLz87PWNW3aVBs3brTaGzVqZLU1btxYOTk52rFjh3bv3q2MjAy39qZNm+rjjz8u5V4AAABv4BXh5krJyckKDg52WxcYGKiUlBRlZ2fr2LFjbu0VK1ZU1apVlZKSouTkZPn4+FhndS7vm5aWprNnz1718+rXry+n0ymn06mEhITS6RQAACgTHp9QfDWZmZkKCgpyW+fn56ecnBxlZmZKUrHtLpdLd955p3x8fNzapEuTlH8aei47ePCgAgICbnc3AACAB3hluAkKClJWVpbbOpfLpcDAQCvU5OXlXbXdx8fnqm2SrhpsAACAvZTostThw4evun7//v0qLCy8LQVJUlhYmNLT093WpaWlKSIiQv7+/goJCXFrd7lcysrKUkREhMLCwpSdna3c3Fy3fZ1OpypXrnzbagQAAN6pROGmuPkoNWrU0PPPP39bCpKkqKgoHThwwO0MTHJysrp27Wq1JyUlWW0HDx5U9erV1bp1a7Vr107BwcFu7T/dFwAA2Nt1L0sdPHhQCxYsUHZ2tj7//HP179+/yDapqan69ttvb7qIgoICtwfwNW/eXI888oi2bNmibt266auvvpKPj4969uwpSRo2bJh+9atfKTc3V/7+/lq2bJnGjRsnf39/SdKIESO0du1aPfroo8rOztann36qzZs333R9AADg58NhjDHX2ygtLU19+vTR999/r4ceesj9DRwOVa5cWX379tWDDz5Y4gJWrVql0aNHy8fHR7/73e+sAJOenq4RI0aoZs2aSk9P15QpUxQSEmLtt2XLFi1fvlxBQUGqUaOGxo0bZ7UVFBQoLi5O+fn5yszM1KBBg9S6desin33u3DlVr15dmZmZTCgG4BVC4xI9XUK5cHQaZ/N/zq739/uGwo0kXbx4UWvWrLEerHelgoICVahQ4daqLWOEGwDehnBTNgg3P2/X+/t9w3NuKlasWGywMcZoxowZN18lAADAbVKiCcXr1q1Tw4YN5e/vrwoVKlivihUr6o033iitGgEAAG5YiZ5z079/fz377LOaOXOm223VxhgtXrz4thcHAABQUiUKN+Hh4ZoyZUqRn0aQLj2bBgAAwNNKdFnq/fff15/+9Kertm3ZsuW2FAQAAHArSnTmJjo6WseOHVNCQoLbbzcVFhbq5MmTGjRo0G0vEAAAoCRKFG46deokHx8f1a1b1y3c5Ofn64MPPrjtxQEAAJRUicLNq6++Kl9f3yK/yJ2VlXXVh+QBAACUtRKFm7y8POXl5bn9YrcxRv/4xz909uxZNWjQ4LYXCAAAUBIlCjehoaFuvwH1U2FhYRoyZMhtKQoAAOBmlSjcxMbG6tVXX3Wbb1NQUKA5c+YQbAAAgFcoUbgZP358kfk2kvTCCy9o4sSJWr169W0rDAAA4GaU6Dk3Vws2+fn5SkpK0ubNm29bUQAAADerRGdufHx8rjrnxhijUaNG3baiAAAAblaJws1zzz2nl19+2W3OTaVKlVS7dm2FhITc9uIAAABKqkThJj4+XnXr1i2tWgAAAG5Ziebc1K1bV+vXr1erVq1UuXJlBQQE6Mknn9Tu3btLqz4AAIASKdGZmz/84Q+KiYlRt27d9OSTT6pGjRo6e/asxo0bp1dffVVPP/10adUJAABwQ0oUbpYuXapvvvlGderUcVs/atQoDR48mHADAAA8rkSXpR588MEiwUaSHA6Hzpw5c9uKAgAAuFklCjcul0spKSlu677//nuNGDGCcAMAALxCiS5LjRs3Tp07d1ZeXp4CAgJ0+vRp/fvf/1bdunV5iB8AAPAKJQo3tWrV0q5du/TJJ59o9+7dysrKUu3atRUXF6eKFUv0VgAAAKWiRJelPvroI91zzz06deqUZs+erT/84Q966KGHNGTIEGVmZpZWjQAAADesROFmxowZio+PV69evax1HTt2VOPGjTV48ODbXhwAAEBJlehaUsuWLfWb3/ymyHo/Pz9t2rTpthUFAABws0p05ubixYvat2+f27pNmzZp4sSJaty48W0tDAAA4GaU6MzNm2++qWeffVYnTpxQUFCQjhw5oh9//FENGjTQkiVLSqlEAACAG1eicBMcHKxt27bpb3/7m/bv36/CwkLVq1dPjz/+uBwOR2nVCAAAcMNu6v7tRx99VI8++ujtrgUAAOCWlWjODQAAgLcj3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFvx2nDTvXt3ORwOt9ddd91ltU+ePNmtLSkpyWo7dOiQevfurZiYGMXExCgvL88TXQAAAB5wUz+cWdrS0tKUnp6uefPmqUqVKpKkr776SpmZmZKk3Nxc7du3T7Nnz5YkValSRS1btpQkZWdnq0uXLtq8ebPCw8M1b948xcbGauHChZ7pDAAAKFNeGW6OHDmiTz/9VHfccYe1bvjw4erRo4ckacmSJYqJidFjjz1WZN+FCxfK6XQqPDxcktS7d2/dfffdiouLU2hoaJnUDwAAPMcrw82DDz5YZN1nn32m6dOnq7CwUAkJCTpx4oQiIyP129/+VhEREdZ2GzZsUJMmTazloKAg1apVS4mJiRo6dGiZ1I+yExqX6OkSbsrRaV09XQIA2JbXzrn5qb1796pBgwby8/OTy+VSfHy8Ro0apaSkJLVo0UKfffaZtW1ycrKCg4Pd9g8MDFRKSkqx71+/fn05nU45nU4lJCSUWj8AAEDp88ozN1f66KOPrEtSVapUUc+ePSVJo0aNUrdu3dS/f3+lpqaqQoUKyszMVFBQkNv+fn5+ysnJKfb9Dx48qICAgNLrAAAAKDM/izM3mzZtUteuRU/jV65cWcuWLdPp06etMzNBQUFF7o5yuVwKDAwsk1oBAIBneX24+fbbb+V0OlW1atWrtv/iF79QgwYNrEATFham9PR0t23S0tLc5uUAAAD78vpws3btWj399NPFthcUFKhSpUpq3LixJCkqKsrtmTcZGRnKyMhQZGRkqdcKAAA8z+vDzcaNG/XUU09Zy1u3btWkSZOUnZ2tixcv6vXXX9eUKVNUoUIFSdKLL76ow4cP68cff5QkLV++XIMHD5bT6fRI/QAAoGx59YTif//736pSpYrbk4kl6d1339X8+fPVqlUrTZgwwXqAn3Tpzqg1a9Zo+PDhCgkJkcPhsB72BwAA7M+rw43T6dSnn37qtu6xxx7TiRMnrrnfAw88oJUrV5ZmaQAAwEt5/WUpAACAkiDcAAAAWyHcAAAAWyHcAAAAWyHcAAAAWyHcAAAAWyHcAAAAWyHcAAAAWyHcAAAAWyHcAAAAWyHcAAAAWyHcAAAAWyHcAAAAW/HqXwVH2QqNS/R0CQAA3DLO3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFsh3AAAAFvx6nCzc+dOORwO6zVjxgxJUk5OjgYNGqRXX31Vffr00ffff++23xdffKFevXrplVde0dixY2WM8UT5AADAAyp6uoBrWbJkiWbPnm0t9+vXT5LUt29fPfXUU+rbt6/++c9/6sknn9TevXvl6+urH374Qb169dLevXsVGBiokSNHavr06YqLi/NUNwAAQBny2nBz8OBBOZ1ODR8+3G393r17lZiYqBUrVkiSGjduLIfDoZUrV6pv376aNm2a2rZtq8DAQElSdHS02rRpo2HDhqlKlSpl3Q0AAFDGvPay1MyZM/Xb3/5Wbdq00aZNm6z1GzZsUHh4uPz8/Kx1TZs21caNG632Ro0aWW2NGzdWTk6OduzYUWa1AwAAz/HacBMVFaWZM2cqLy9PXbt21dSpUyVJycnJCg4Odts2MDBQKSkpys7O1rFjx9zaK1asqKpVqyolJaXYz6pfv76cTqecTqcSEhJKp0MAAKBMeO1lqc6dO6tz586KjY3V+PHjNWHCBD399NPKzMxUUFCQ27Z+fn7KyclRZmamJBXbXpyDBw8qICDg9ncCAACUOa89c3OZw+HQW2+9pUaNGmn79u0KCgpSXl6e2zYul0uBgYFWqCmuHQAA2J/XhxvpUsDp0KGD8vLyFBYWpvT0dLf2tLQ0RUREyN/fXyEhIW7tLpdLWVlZioiIKOuyAQCAB/wswo0knTx5Up06dVJUVJQOHDjgdnYmOTlZXbt2lXRprk5SUpLVdvDgQVWvXl2tW7cu85oBAEDZ88pwc+zYMQ0bNkzHjh2TJK1atUoNGzZUvXr11Lx5cz3yyCPasmWLJOmrr76Sj4+PevbsKUkaNmyYtm/frtzcXEnSsmXLNG7cOPn7+3umMwAAoEx55YTiihUr6q9//asWL16sFi1a6OWXX9Ybb7xhtf/pT3/SiBEjtHv3bqWnp2vTpk2qUKGCJCk8PFwLFizQwIEDFRQUpBo1amjkyJGe6goADwqNS/R0CQA8wCvDTUhIiA4cOFBse3BwsJYtW1Zse6dOndSpU6fSKA0AAHg5r7wsBQAAcLMINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFYINwAAwFa8Ntx8//33ioyMVLVq1dS8eXNt377drX3y5MlyOBzWKykpyWo7dOiQevfurZiYGMXExCgvL6+sywcAAB5S0dMFXI0xRoMGDdLjjz+uPn36aNasWXriiSd04MABhYWFKTc3V/v27dPs2bMlSVWqVFHLli0lSdnZ2erSpYs2b96s8PBwzZs3T7GxsVq4cKEnuwQAAMqIV4abr7/+WmPGjFHHjh0lSZGRkapbt64+/vhjxcbGasmSJYqJidFjjz1WZN+FCxfK6XQqPDxcktS7d2/dfffdiouLU2hoaFl2AwAAeIBXXpaKiIiwgo0k1ahRQw0aNJCfn58KCwuVkJCg7t2765lnntG3337rtu+GDRvUqFEjazkoKEi1atVSYmJimdUPAAA8xyvDTaVKlYqsO3v2rJ544gm5XC7Fx8dr1KhRSkpKUosWLfTZZ59Z2yUnJys4ONht38DAQKWkpBT7efXr15fT6ZTT6VRCQsLt6wgAAChzXnlZ6ko7d+5Ujx495HQ6JUk9e/aUJI0aNUrdunVT//79lZqaqgoVKigzM1NBQUFu+/v5+SknJ6fY9z948KACAgJKrwMAAKDMeH24uXDhglauXKk5c+YUaatcubKWLVumOnXqKCUlRfXr11dQUFCRu6NcLpcCAwPLqGLg+kLjfn6XSY9O6+rpEoDbhv8N2ptXXpb6qVmzZmns2LHy8/O7avsvfvELNWjQwAo0YWFhSk9Pd9smLS1NERERpV4rAADwPK8ON++99546deqke++9V5KUl5engoICt20KCgpUqVIlNW7cWJIUFRXl9sybjIwMZWRkKDIysuwKBwAAHuO14WbBggVKTU3VqVOntGXLFq1du1YDBw7UZ599pkmTJik7O1sXL17U66+/rilTpqhChQqSpBdffFGHDx/Wjz/+KElavny5Bg8ebM3XAQAA9uaVc24WLVqkoUOHSpKmTp1qrR82bJh8fHz07rvvav78+WrVqpUmTJhgPcBPunRn1Jo1azR8+HCFhITI4XBYD/sDAAD255Xhpn///urfv3+x7SdOnLjm/g888IBWrlx5u8sCAAA/A157WQoAAOBmEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtVPR0AXYVGpfo6RIAACiXCDcAbgiBHcDPBZelAACArdg23EydOlWDBg1SdHS0tm3b5ulyruvc/37k6RJsi7EtPYxt6WFsSxfjW3oSEhI8XYI9L0vNmzdPhw4d0qJFi5Sbm6tmzZopMTFRYWFhni6tWOeS1ingwac9XYYtMbalh7EtPYxt6fo5ju/P5dLwv+f/Vm+fjpAkHZ3W1SM12O7MTX5+viZNmqR+/fpJkvz9/RUZGan4+HgPVwYAAMqC7c7c7N69WxkZGWrUqJG1rmnTpoqLiyuyrTFGknTu3LnbXkdhXk4J9zA3sQ9uDGNbehjb0sPYli7Gt/T8Z2xL4+/rT9/38t/xoiXYzLx584yPj48pKCiw1q1du9ZIMmfOnHHb9vjx40YSL168ePHixetn+Dp+/PhVs4DtztxkZmbqzjvvlI/Pf664+fn5SZJycnIUGBhorQ8JCdHx48dVrVo1ORyOMq8VAACUnDFG58+fV0hIyFXbbRdugoKClJeX57bO5XJJkluwkSQfHx85nc4yqw0AANwe1atXL7bNdhOKw8LClJ2drdzcXGtdWlqanE6nKleu7MHKAABAWbBduGnXrp2Cg4OVlJRkrUtOTlbXrp65HQ0AAJQt24UbX19fjRgxQmvXrpUkZWdn69NPP73q3VIAAMB+HMYUdx/Vz1dBQYHi4uKUn5+vzMxMDRo0SK1bty7TGjIzM7V06VIFBQWpVq1aat++vXJychQbG6s77rhDZ86cUXx8vGrXrm3t88UXX2jOnDkKDAzUnXfeqfj4eLeJzlOnTlVqaqpycnI0YMAAdejQoUz75GlZWVkaM2aMAgICdPHiReXl5WnGjBnWhPGCggKNHj1aLpdL//d//6cxY8aoadOm1v6HDh3SxIkTFRQUJEmaNWuWta8kLV68WDt27JDD4VBkZKR69epVth30gPT0dE2fPl3Z2dlasGCBtb40j9XTp0/rtddeU2BgoLKysjRr1qwi8+HsoLix3b59u2JjY3X06FG1bt1a77zzjkJDQ632WzlOr/e92UVxY/tTo0eP1unTp7VkyRJrHWN7fdcb28OHD2v9+vWqXbu2/uu//ktNmjSR5IVjW3o3ZZdfhw8fNs8//7xJT093W//MM8+YpUuXGmOMOXDggGncuLHJz883xhjz73//29SpU8e6Xf21114zU6dOtfadO3eueemll4wxxrhcLhMREWEOHz5cFt3xGq+88oqZNWuWtTx06FAzbtw4a/m1114zb775pjHGmB9//NHUrVvXnD171hhjTFZWlgkPDzeHDh0yxlwaz8GDB1v7btiwwXTo0MEYY0xBQYFp1aqV2bVrV2l3yaPy8/PNRx99ZO6//37Tr18/t7bSOlYLCgpMy5YtzV//+ldjjDEbN240kZGRpdpPTyhubH/44QfTqlUr88c//tG8/fbb5q677jINGjQwFy5cMMbc+nF6re/NLq513F62e/duU7VqVbd2xvb6rje2iYmJZvjw4dbxepk3ji3h5jY7c+aMefjhh82pU6fc1u/Zs8f4+/ub3Nxca12TJk2sLzQmJsa8+OKLVtu+fftM1apVTVZWlsnLyzN33XWX2bFjh9X+6quvWn9AyosGDRqYDz/80FpeuHCheeqpp4wxxpw8edL4+vqao0ePWu1PPfWUFXZmzpxp2rVrZ7VlZGQYHx8fc+TIEWOMMY0aNTJLliyx2hMSEkz79u1Lszteo3fv3m7/kJXmsfrhhx+a0NBQq62wsNBUr17dCjt2c+XYLlu2zKSlpVnLiYmJRpL56quvjDG3dpxe73uzmyvH9rLs7GzTu3dvEx0d7dbO2N64q43tF198Ybp06WIuXrxYZHtvHFvbzbnxtIkTJ6pu3bqaOnWqWrVqpdGjR+vixYvasGGDwsPD3U7TNW3aVBs3bpQkbdiwwe2pyo0bN1ZOTo527NhR7FOXP/7447LrmBdo0qSJFixYoMLCQknSnj17NGTIEEnS5s2b5efn53Yq81rje/lyYWJioo4cOaKvv/66yPju2LFD58+fL4uueZSvr6/bcmkeq1fu63A41KRJE+u97ebKsX322WcVHBxsLbdr107Sf57FdSvH6fW+N7u5cmwvmzx5ssaNG6eKFd2fdMLY3rgrx7awsFAvv/yyWrRooUGDBqlVq1ZatGiR1e6NY0u4uY1ycnL03nvv6Ze//KVmz56tJUuW6J133tGYMWOUnJzs9o+adOm5OykpKcrOztaxY8fc2itWrKiqVasqJSVFycnJ8vHxcZuXEBgYqLS0NJ09e7bM+udpCQkJSk1NVd++ffX3v/9d3bt3V+fOnSXpmuN7vfbk5GRJcmsPDAyUMUaHDx8uzS55pdI8Vq/3PdldpUqV3JZPnTqlhg0bql69epJu7Tgt72MrSX/96191zz33qH79+kXaGNubt3PnTqWkpOjxxx/XokWLFBMTowEDBlgBxBvHlnBzG33xxRdyuVyKjo6Ww+FQvXr19Nxzz+mdd95RZmamNdHqMj8/P+Xk5CgzM1OSrtl+raculxc1a9bUqlWrVL16dXXp0sU6gyPpmuN7vfarjX95HN/LSvNYvd73VN4sX75cM2bMsJZv5Tgt72OblZWlRYsWKTY29qrtjO3N2759u0JDQ/Xoo49Kkvr06aPw8HDNmzdPkneOLeHmNjp16pQkqUqVKta6du3ayeVyqaCg4KpPTg4MDLS+2Gu13+hTl+3s4MGD+vzzzzV//nzNnDlTPXr00F/+8hdJxT+Z+vL4XKv9auNfHsf3spKO1ZXt1zpWr/c9lSfHjh1TXl6edfZRurXjtLyP7ZtvvqmJEye6BeufYmxv3qlTp9z+rklS27ZtrTPb3ji2hJvbqFq1apLkdqmoRo0akqRmzZopPT3dbfu0tDRFRETI399fISEhbu0ul0tZWVmKiIjgqcv/38CBA63/5zBw4EDFxMRo5MiRki49mbq48b1ee1hYmCS5taelpalSpUput+iWF9caq1s9Vq/3PZUXLpdL77zzjiZNmuS2/laO0/I+tjNnzlRYWJgcDoccDoeWLl2qpUuXWo8oYGxvXrVq1YpMgahRo4YVQLxxbAk3t9FDDz0kX19f/e///q+17syZM2revLn69OmjAwcOuCXUnz45OSoqyu2pygcPHlT16tXVunVrnrr8/+3fv99tzsKAAQN0/PhxSVK3bt105swZa1m69vhmZGQoIyNDkZGRuv/++9WkSZMi49u+fftyFR4vi4qKKrVj9cp9CwsL9c0335SrY7mgoEDTpk1TXFycNXEzOztb0q0dp9f73uzuyy+/dHs9+eSTevLJJ/Xll19KYmxvRdu2bZWamuoWQs6cOaM2bdpI8tKxvaV7rVDEyJEjzWOPPWYtP/vss9bty48//rhZt26dMcaYL7/80jRt2tS6re7QoUOmTp06xuVyGWOMGT58uJkxY4b1PvHx8Wb48OHGmEvPFKhXr551m115ERUVZX73u99Zyx9++KGJjo62lgcNGmTmzJljjLl0a3hYWJjJzMw0xly6Rf++++6zbtGfM2eOGTp0qLXvihUrTPfu3Y0xxly8eNG0atXKfP7556XeJ2/Qp08f88ILL7itK61jNT8/3zRo0MC69XndunWma9eupdo/T7pybC9evGj69+9vFi1aZDZv3mw2b95sli5dal5//XVjzK0fp9f63uzmasftT/Xr18/tdmbG9sZdObYFBQXmwQcfNFOmTDHGGJObm2vq169vPXrDG8fWlk8o9qSLFy9q9OjRysnJUUBAgGrXrq2hQ4dKunRabsSIEapZs6bS09M1ZcoUt59r37Jli5YvX66goCDVqFFD48aNs9q84anLnpaZmamRI0cqJCREVatW1alTpzRhwgTrl2FdLpdiY2MVEBCg9PR0jR49Wg0aNLD237Nnj2bNmqWQkBA5HA5NnTrV7ZbH6dOn6+jRo8rPz9dTTz2lbt26lXkfy9qqVas0evRo+fj46He/+5169uwpqXSP1dTUVL3xxhu69957de7cOc2YMcO6pGsnVxvbfv366f333y+y7Zo1a9SjRw9Jt3acXu97s4vijtufevHFFyXJ7QnFjO31FTe2P/74o4YOHaqIiAhlZGSoV69eatu2rbWft40t4QYAANgKc24AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4AAICtEG4A3JJ169Zp5MiRuv/++xUTE6PCwkJJ0smTJxUXF6fmzZsXu+8//vEPhYSEWL8SfD0XL17UsmXL1KxZM+3YseN2lH/bfPnll4qOjtagQYNuav+NGzeqTZs2Wrp06W2uDCh/CDdAOXPmzBm99tpr1vLlx9TfjH/+85+aN2+eZs6cqQ8++EAffPCB9eN6FSpUUH5+fpFfE/6pmjVrqlOnTvLz87vm5yQnJ0u69EObtWvX1v79+2+65tISHBysI0eO6MKFCze1f2hoqPbs2SMeGg/cOsINUM78/e9/18MPPyzp0u/F1KhR46bf64MPPlDNmjUlSc2bN9fp06et96tRo4YaNmx4zf1r166tRYsWycfn2v8UTZo0SZJUqVIlPfLIIzddb2m69957FR4eftP7N27cWMHBwbexIqD8ItwA5cxPw83OnTtvKSycOHFCFSpUKLb9Wm03asmSJVq9erW1fL0g5Em3Wps39w34OeF/SUA5ER8fr6ioKK1YsULDhg1TVFSUxowZo8WLF2vdunVX3Wfnzp0aMmSIhgwZotatW2v37t1W269//Wv97W9/09///ncNHDhQ27dvL/azt23bpjp16ig0NNT6rPPnz2vGjBmqVauWpEtnkcaNG6cWLVpo06ZNuuuuuzR37lytX79ekjRkyBC3+Sj5+fkaNGiQqlSpohdeeMFaf+zYMQ0bNkxjxoxRSEiIpkyZUmxdCxcuVExMjB5++GH16dNH586dkyR9++23euGFF/TGG2+oZcuWWrZsmbVPQUGBxo8fr9jYWHXs2FETJkwo8r5r1qxRSEiI7r//fh0+fLjYz09NTVWvXr00fPhw9erVS1lZWVbbqVOn1K9fP40fP16tW7fWjBkzJF369WWn06kKFSpo7dq1kqTs7Gw988wz6tGjxw3PXwJszQAoNwoKCky/fv2s5d69exe77XfffWciIiJMbm6uMcaY999/31SpUsUcP37c2qZfv35u73elxYsXm+rVq5sJEyaYv/zlL6Zz586mUqVK5vvvvzcZGRlm2rRp5vI/Qz/88IOJiYkxwcHBZv78+WbixIlm48aNZvv27ebKf6okmX79+pl//etf5pNPPjGSzJ49e4wxxgwYMMAcOHDAGGPMvn37zJQpU65a2/r1682CBQuMMca4XC5z//33m5iYGGOMMW3atDHvvvuuMcaY9957z9x9993WfhMnTjQzZswwxhizZ88eI8l88skn1ng0bdrUrF692pw4ccI0adLEes8r5efnm4iICLN3715jjDFJSUlGklm8eLExxpi+ffuasWPHGmOM2bp1q/Hx8THnzp0zxhizatUq4+PjY9LT0633Gzx4sNt3A5RnnLkBypFvv/1W9evXl3TpDMS1LoMkJCTo0UcftSb79urVS9WqVdPbb79dos+888479eabb+pXv/qVPvjgA1WtWlV//vOfFRQUpAceeMDaLiQkRM2bN5fD4dDgwYM1adIkPfHEE8W+b79+/dSgQQM9/vjjuvvuu60zJKdPn9b06dOVnZ2t5s2bq127dlfdf+bMmTp8+LCmTZumOXPmqEWLFtZk4MjISLVp00bSpYnClydJ5+bmasaMGerdu7ck6Ze//KXmzp2rpk2bWu/btGlTRUVFqWbNmoqMjCz2zM2KFStUpUoV/fKXv5QkPfDAA7rnnnus9tatW6tLly5WDYWFhdbk7GeeeUa1atXS8uXLJV36Ls+ePSun01nseAHlSUVPFwCgbEyePFkbNmyQn5+fPv/8c50/f14nT55U9+7d1bdvX/Xo0cNt+127dqljx47WcsWKFdWwYUN99dVXN11D1apV1apVKx09elRS0Tk5Pj4+qly58g3N1XE4HNZ/r1y5snJzcyVJI0aMUNeuXbVt2zZNnjxZAwYMuOr+ycnJmjlzph588MEibWPHjtWBAwc0duxYZWZmWncwHTp0SDk5OQoKCrJqiImJuaG6rrR9+3bde++9buv8/f2t//7yyy/ryJEjmjBhgi5evChJ1m32FSpU0MCBA7Vw4ULFxsZq27Ztbt8VUN5x5gYoJyZMmKCOHTtq9erVWrdunX79619rxowZWrduXZFgc9np06fdlmvUqKFKlSrdUh1Vq1bVHXfccUvvcTWXA0j79u114MABNWvWTIMGDdKoUaOuuv2FCxeK3FKekZEhSXrvvfc0b948TZ48WT179rTaL4eL7777zm2/n86VKa6uK6WnpyszM7PY/RITEzVq1CiNGTNGL7/8cpH2gQMH6vDhw9q+fbvWrl2rqKioYt8LKG8IN0A5cvLkSYWEhEi6dOaiUaNGxW77wAMP6G9/+5vburNnz6pt27a3VMN3331X7KWiq/npmZAbsXnzZoWHh2vTpk2aMGGCfv/73191u3r16mnOnDnKy8uz1q1cuVJ5eXkaNmyYhg8frooV3U9uh4WFydfXV4sXL7bWpaena+vWrSWq8fJ77du3T+fPn3dbfzkMxcTEqH///qpSpcpV9w8JCdETTzyh//mf/3E7mwSAcAOUKz8NCseOHdN9991X7La/+c1vdPLkSX300UeSLgWblJQUtyfw5uXlKScn55qfmZWVpTNnzki6dKmrSpUq1lyagoICt/80xig/P99t/8qVK0uSvvnmG3366afWtpfPolx2ef3777+vkydPSpJ69OhR7LNnYmNjlZycrPbt22vBggXq3bu3GjRooLy8POXl5enPf/6z/vWvf2nJkiWSLt05lpOTowEDBmjOnDkaP368lixZon79+qlDhw5WDcXVdaXBgwcrKytLMTExcrlc2rNnj86cOaN//vOfOnXqlM6dO6cPP/xQKSkpWrBggSRp//79OnTokPUeQ4YM0fr169WpU6erfgZQbnl0OjOAMpOVlWWGDh1qLQ8YMOC6+3z88cemWbNm5qWXXjIvvfSSdReSMcb86U9/MoGBgeauu+4yy5YtM2fOnCmy/7lz58zIkSNNy5YtTb9+/UxsbKzJzMw0xhhz8uRJ06tXLyPJTJ061Xz99dfmscceM5LM5MmTrbu08vPzTfv27U1oaKj56quvzMSJE40kEx0dbY4cOWLeffddU7FiRfOrX/3KpKammsjISFOrVi0zcuRIM2jQILN///5i+xcfH2/uuusuU6tWLfP73//eWv/666+batWqmW7dupn9+/eboKAgM378eGOMMefPnzfPP/+8qVy5svnv//5va0y2bt1q7rvvPhMaGmo++eQTk5SUZFq0aGECAgLMpk2brvr5K1asMCEhIaZGjRpm+vTpplmzZub11183p06dMvPnzzcBAQGmbdu25ptvvjFOp9O89NJLprCw0Nq/sLDQNGzY0GRnZ1/3uwTKE4cxPOsbAH6O8vPz9Zvf/Ebz5s3zdCmAV+GyFAD8TG3YsEFdu3b1dBmA1+FWcAD4Gbl48aIGDBggp9OpAwcOaMOGDZ4uCfA6hBsA+BnJz8/X7t27Va1aNX3wwQclvpsMKA+YcwMAAGyFOTcAAMBWCDcAAMBWCDcAAMBWCDcAAMBWCDcAAMBWCDcAAMBW/h9iYOjhEd272AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df['births'])\n",
    "plt.xlabel('# of births each day')\n",
    "plt.ylabel('count');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "856819d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11350.068260631502"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(df['births'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "39b16e56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['day_of_week'], df['births'],s=0.5)\n",
    "plt.xlabel('day of week')\n",
    "plt.ylabel('# of births');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "32f3bd7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# use a boolean array to select only the data pertaining to June.\n",
    "\n",
    "month_sel = df['month'] == 6\n",
    "plt.scatter(df['day_of_week'][month_sel], df['births'][month_sel],s=0.5)\n",
    "plt.xlabel('day of week in June')\n",
    "plt.ylabel('# of births');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4eb0ee16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# violin plot, which plots a kernel density estimate (basically a smoothed histogram) \n",
    "# of the distribution of points within each discrete value. seaborn has a nice \n",
    "# implementation of such a plotting routine.\n",
    "\n",
    "import seaborn as sns\n",
    "sns.violinplot(x='day_of_week', y='births', data=df);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d5acc146",
   "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>month</th>\n",
       "      <th>date_of_month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>births</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>2384</td>\n",
       "      <td>5767</td>\n",
       "      <td>1469</td>\n",
       "      <td>4149598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1457</td>\n",
       "      <td>4110963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1458</td>\n",
       "      <td>4099313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2003</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1459</td>\n",
       "      <td>4163060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004</th>\n",
       "      <td>2384</td>\n",
       "      <td>5767</td>\n",
       "      <td>1465</td>\n",
       "      <td>4186863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2005</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1462</td>\n",
       "      <td>4211941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1463</td>\n",
       "      <td>4335154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1457</td>\n",
       "      <td>4380784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008</th>\n",
       "      <td>2384</td>\n",
       "      <td>5767</td>\n",
       "      <td>1461</td>\n",
       "      <td>4310737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1460</td>\n",
       "      <td>4190991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1461</td>\n",
       "      <td>4055975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1462</td>\n",
       "      <td>4006908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>2384</td>\n",
       "      <td>5767</td>\n",
       "      <td>1464</td>\n",
       "      <td>4000868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1458</td>\n",
       "      <td>3973337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014</th>\n",
       "      <td>2382</td>\n",
       "      <td>5738</td>\n",
       "      <td>1459</td>\n",
       "      <td>4010532</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      month  date_of_month  day_of_week   births\n",
       "year                                            \n",
       "2000   2384           5767         1469  4149598\n",
       "2001   2382           5738         1457  4110963\n",
       "2002   2382           5738         1458  4099313\n",
       "2003   2382           5738         1459  4163060\n",
       "2004   2384           5767         1465  4186863\n",
       "2005   2382           5738         1462  4211941\n",
       "2006   2382           5738         1463  4335154\n",
       "2007   2382           5738         1457  4380784\n",
       "2008   2384           5767         1461  4310737\n",
       "2009   2382           5738         1460  4190991\n",
       "2010   2382           5738         1461  4055975\n",
       "2011   2382           5738         1462  4006908\n",
       "2012   2384           5767         1464  4000868\n",
       "2013   2382           5738         1458  3973337\n",
       "2014   2382           5738         1459  4010532"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# we'll group the data entries by year and compute the total number of births each year.\n",
    "\n",
    "year_grp = df.groupby('year')\n",
    "year_grp.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d5aea4b0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "births_by_year = year_grp.sum()\n",
    "\n",
    "plt.plot(births_by_year.index, births_by_year.births)\n",
    "plt.ylabel('# of births')\n",
    "plt.xlabel('year');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "239c2089",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# by day of the month.\n",
    "\n",
    "grp = df.groupby('date_of_month')\n",
    "birth_by_date = grp.mean()\n",
    "\n",
    "plt.plot(birth_by_date.index, birth_by_date.births)\n",
    "plt.xlabel('date of month')\n",
    "plt.ylabel('avg. births per day');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "cf5f306a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Do people want to make sure they don't miss presents?\n",
    "\n",
    "christmas_date_sel = (df['date_of_month'] == 24) | (df['date_of_month'] == 25)\n",
    "\n",
    "christmas_date_grp = df[christmas_date_sel].groupby('month')\n",
    "christmas_date_birth_by_month = christmas_date_grp.mean()\n",
    "\n",
    "plt.plot(christmas_date_birth_by_month.index, christmas_date_birth_by_month.births)\n",
    "plt.xlabel('month')\n",
    "plt.ylabel('avg. births per day');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "39d4b2f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2020-01-01 12:34\n",
       "1    2020-03-01 08:47\n",
       "2    2020-06-01 14:23\n",
       "3    2020-09-01 22:56\n",
       "4    2020-12-01 13:45\n",
       "dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# time\n",
    "\n",
    "dates = pd.Series(['2020-01-01 12:34', '2020-03-01 08:47',\n",
    "'2020-06-01 14:23', '2020-09-01 22:56',\n",
    "'2020-12-01 13:45'])\n",
    "\n",
    "dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ec75301b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0   2020-01-01 12:34:00\n",
       "1   2020-03-01 08:47:00\n",
       "2   2020-06-01 14:23:00\n",
       "3   2020-09-01 22:56:00\n",
       "4   2020-12-01 13:45:00\n",
       "dtype: datetime64[ns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dates = pd.to_datetime(dates)\n",
    "dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e2fc2150",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     0 days 00:00:00\n",
       "1    59 days 20:13:00\n",
       "2   152 days 01:49:00\n",
       "3   244 days 10:22:00\n",
       "4   335 days 01:11:00\n",
       "dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "delta=dates-dates.iloc[0]\n",
    "delta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9eacc026",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([datetime.datetime(2000, 1, 1, 0, 0),\n",
       "       datetime.datetime(2000, 1, 2, 0, 0),\n",
       "       datetime.datetime(2000, 1, 3, 0, 0), ...,\n",
       "       datetime.datetime(2014, 12, 29, 0, 0),\n",
       "       datetime.datetime(2014, 12, 30, 0, 0),\n",
       "       datetime.datetime(2014, 12, 31, 0, 0)], dtype=object)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from pandas.tseries.holiday import USFederalHolidayCalendar\n",
    "from datetime import datetime\n",
    "\n",
    "dates = np.array([datetime(y, m, d) for (y, m, d) in df[['year', 'month', 'date_of_month']].values])\n",
    "dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e060335b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fed_cal = USFederalHolidayCalendar()\n",
    "holidays = fed_cal.holidays(start=dates.min(), end=dates.max()).to_pydatetime()\n",
    "datetime(2000, 12, 25) in holidays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "cd732731",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "holiday_sel = np.array([date in holidays for date in dates])\n",
    "\n",
    "grp = df[~holiday_sel].groupby('date_of_month')\n",
    "birth_by_date = grp.mean()\n",
    "\n",
    "plt.plot(birth_by_date.index, birth_by_date.births)\n",
    "plt.xlabel('date of month')\n",
    "plt.ylabel('avg. births per day')\n",
    "plt.title('Without Holidays');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fd5d769f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False\n",
      "False\n"
     ]
    }
   ],
   "source": [
    "# Let's try adding a few more holidays.\n",
    "\n",
    "print(datetime(2000, 12, 24) in holidays)\n",
    "print(datetime(2000, 12, 31) in holidays)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "71883d71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.tseries.holiday import get_calendar, Holiday, HolidayCalendarFactory, FR\n",
    "\n",
    "xmas_eve = Holiday('Christmas Eve', month=12, day=24)\n",
    "new_years_eve = Holiday('New Year\\'s Eve', month=12, day=31)\n",
    "black_friday = Holiday(\"Black Friday\", month=11, day=1, offset=pd.DateOffset(weekday=FR(4)))\n",
    "\n",
    "cal = HolidayCalendarFactory('ExpandedHolidayCal', fed_cal, [black_friday, xmas_eve, new_years_eve])()\n",
    "holidays = cal.holidays(start=dates.min(), end=dates.max()).to_pydatetime()\n",
    "holiday_sel = np.array([date in holidays for date in dates])\n",
    "\n",
    "grp = df[~holiday_sel].groupby('date_of_month')\n",
    "birth_by_date = grp.mean()\n",
    "\n",
    "plt.plot(birth_by_date.index, birth_by_date.births)\n",
    "plt.xlabel('date of month')\n",
    "plt.ylabel('avg. births per day')\n",
    "plt.title('Without More Holidays');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fc1df607",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "thirteenth_sel = df['date_of_month'] == 13\n",
    "\n",
    "plt.hist(df[thirteenth_sel & ~holiday_sel]['births'], density=True, alpha=0.5, bins=30, label='13th of month')\n",
    "plt.hist(df[~thirteenth_sel & ~holiday_sel]['births'], density=True, alpha=0.5, bins=50, label='NOT 13th of month')\n",
    "plt.xlabel('# of births')\n",
    "plt.ylabel('PDF')\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "1f13e6b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "weekday_sel = df['day_of_week'] < 6\n",
    "weekday_thirteenth_sel = (df['date_of_month'] == 13) & weekday_sel\n",
    "\n",
    "plt.hist(df[weekday_thirteenth_sel & ~holiday_sel]['births'], density=True, alpha=0.5, bins=15, label='Only 13th')\n",
    "plt.hist(df[weekday_sel & ~holiday_sel]['births'], density=True, alpha=0.5, bins=50, label='All')\n",
    "plt.xlabel('# of births on weekdays')\n",
    "plt.ylabel('PDF')\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "57930e15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Is Friday the 13th avoided more than the 13th on any other weekday?\n",
    "\n",
    "fri_thirteenth_sel = (df['date_of_month'] == 13) & (df['day_of_week'] == 5)\n",
    "\n",
    "plt.hist(df[fri_thirteenth_sel & ~holiday_sel]['births'], density=True, alpha=0.5, bins=5, label='Fridays only')\n",
    "plt.hist(df[weekday_thirteenth_sel & ~holiday_sel]['births'], density=True, alpha=0.5, bins=20, label='any weekday')\n",
    "plt.xlabel('# of births on the 13th')\n",
    "plt.ylabel('PDF')\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "bfafae55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8.00332\n",
      "7.0\n",
      "2.8234994205064043\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "battles=[]\n",
    "\n",
    "for n in range(100000):\n",
    "    win=0 ; m=0\n",
    "    while(1):\n",
    "      m=m+1\n",
    "      if np.random.rand() >= (1.-0.5):\n",
    "            win=win+1\n",
    "      if win >= 4: break\n",
    "    battles.append(m)\n",
    "\n",
    "plt.hist(battles,bins=30,range=(0,29),density=True);\n",
    "\n",
    "print(np.mean(battles))\n",
    "print(np.median(battles))\n",
    "print(np.std(battles))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "27b62122",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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S3MJEmojCh4iIh6ipNbg7fSMf7yhwtP2pf1dmXHseAf6tTKxMpGkpfIiIeIB5a3Yyb002AOd2CeL/7r2I09vqT7T4Jn2zRURMstdexva9Rdy5ZBMAvc5sz3vjLtE06OLzFD5ERNzMMAzi5n9O1t4iR9uriYO4yHaGiVWJuI/Ch4iIG5VWVtPnbx8AMOv6aK4b0BWLxWJyVSLupfAhIuIGn2fv55Z/bXAsvz9+CH26BJlYkYh5FD5ERJpRVU0tZz+60rG8/ckrCPD309kOadEUPkREmsmyzbt56I2tAHz00DBsHdqZXJGIZ1D4EBFpYpHJGU7LXz9+GaGntzGpGhHPo/AhItIE7KVVpK7NZvHndTOSXmw7g0W3nE/waf4mVybieRQ+REROQXVNLQ8s3cKHWT8DEBroz7t/uYRuYYEmVybiuRQ+REROgmEYnP3oSqprDQCGnB3OS3ddaHJVIt5B4UNE5AQdKq0k5snVAMR0C+HtsYNNrkjEuyh8iIg0oLyqxvFQt5KKas6d+oGj74OJQ4k6s71ZpYl4LYUPEZFjqKk1sD3y/jH71j40jB66bVbkpOnpRSIiv5N/oNQRPBbfNtDRvuz+i8ibGafgIXKKdOZDRORX2T8Xc9ncTx3LT159Lpf26UTezDgTqxLxPQofItLi5R8oZcizHzuWn72uH9cPtGoKdJFmovAhIi2WYRhct+gLtvx4CICPk2LpHn66uUWJtAAKHyLS4vxpYSZf/xo4ADoHB/BxUqzjrhYRaV4KHyLSYvz5H1+yIfeAY7l7+Om8knghnYNPM7EqkZZH4UNEfJ5hGHR/+LfbZr+ffoXOcoiYSOFDRHxa5q79JCzeAMCaB4fRs6NukxUxm8KHiPisx9/+lpfW/w+AFeMuUfAQ8RAKHyLic8qrarg7fROf79oPoHk6RDyMwoeI+IzyqhrGpH7Orl8OA3Dv0B48fGVvk6sSkd9T+BARn/CPT35gxsrvAXjl7gu5uGe4yRWJyPE0+tkuM2bMIDExkYSEBNauXdvguiNGjMBisWCxWAgPD6e8vNzRV1xcTEhIiKM/Lk6nQ0Xk1EQmZziCx7t/GazgIeLhGnXmY8GCBWRnZ5OWlkZ5eTkxMTFkZGRgs9nqrbt582asVitz584FICoqioCAAEf/iy++yKRJkwgODgZg5MiRTbEfItIC7bWXcdGMun8MTb+mL7cOijC5IhFpDJfho7KykmnTprFs2TIAAgICGDVqFCkpKaSlpdVbf+HChaSmpjrCxdGqqqrYtGkTr776ahOULiIt1a5fDjPrgx2s+m4fAM/fPIC4fp1NrkpEGstl+MjMzKSwsJC+ffs62qKjo0lOTq63bm5uLunp6bz//vvEx8eTkpJCUFCQo/+1117jtddeY9u2bdx9991MmDABP79GX/lpOoYBFcXuf18ROSFVtbX0f3I1AH4WqDXgzKAA9hXVXcq9undH5twQQyuLBcqL3FdY2/agh86JnDSX4SMrKws/Pz9CQ0MdbaGhoRQUFHDw4EGndj8/P9LT01m/fj1paWlkZGSQmZlJ5851/yLp3bs3//znP1m1ahUPPfQQa9as4b333mswgPTu3dvxZMkHH3yQBx988KR31qGiGGZ2O/XtiEiz8ge+DfhdYyVwpC0XeMatJdVJzoeAINfricgxWQzDMBpa4emnn2b27NkUFhY62t5//33i4uLYvXs3Xbt2PebrfvjhB2JjYxk6dChLly6t179ixQquu+46FixYQGJiYr3+oqIigoODsdvtTmdPmoTOfIh4LAOD86Z96Fj+5K/DOeP0NiZWdAw68yFyXI35/XZ55iMsLIyKigqntrKyMgCnsx6/Z7PZSE1N5d577z1m/5gxY7j//vtZs2bNMcNHs7JY9K8WEQ/0fxvzmbxsGxDIinGX0Ldr/bFjIuL9XA64sNlslJSUON0uW1BQgNVqJTAwsMHXjhw5sl5wOZF+EWk5lm/Z/WvwgK8fv0zBQ8SHuTzzERsbS3h4OBs3bmTIkCFA3TiQxszPkZ+fz5gxY066X0R8V1VNLVB3FfScx1YCMDAilDfvv9jMskTEDVyGD39/fyZNmsTy5csZMmQIJSUlrF69mpUrV1JYWMioUaNYunQpUVFRzJ8/n6CgIG6//XYOHDjA9OnTmTdvHgC1tbVMmDCBG2+8kcGDB7Nt2zbWr19Penp6c++jiHiQAyWVDJrxEZXVtU7tax8aRo8OevCbSEvQqEnGpkyZQnJyMhMmTMBut7N48WIiIyPZs2cPeXl5FBfXDd4sKyvjscceY/r06QwdOpR58+bRqVMnoO5OmN27d3PppZfSu3dvxowZw+LFix13soiI7zIMg8ff+ZaX1//o1L5t2uUcKqnirDMavoQrIr7F5d0uZmnWu11ExG0eXv4Nr35VFzoG9zyDl+68ED8//aNDxFc1yd0uIiInqryqhukrsli64bczHZ/8NZaIM043sSoR8RQKHyLSpP6+Jpu5a3Y6lldNHEKvM3X2UkR+o/AhIqesvKqGXo+vcmr74ekraaXLKyJyDAofInLS9h+u4LZ/fUXW3t+eq/L22MHEdAsxrygR8XgKHyLSaHNX7+TvH2XXa79vmI2/jorSmQ4RaRSFDxFp0KHSSvIKS7nm+cx6fR9OGso5ndqbUJWIeDOFDxFpUMyvj7QHuDqmC3+/sb+J1YiIL1D4EJFjmvH+dv7xaQ5Q96yVUE97sqyIeC2FDxGp56IZH7HXXk7XkNP4dPJwjeUQkSal8CEiDlU1tZz9aN1D3pbdfzHnR4SaXJGI+CKFDxFh1y/FXDrnU8fysHM6KHiISLNR+BBpgfpN+4Ci8mp6dDidP8V0Zfbq32Yk1RkPEWluCh8iLUhJRTXnTv3AsZxTUMLs1TsJb9eWzyYP57Q2rUysTkRaCoUPkRYiY9texr6yBYDpV5/LrRdFYhgGFosGk4qIeyl8iPi46ppa/vziejb/7yAAuTOudAQOBQ8RMYPCh4iP6/nr3SuPj+nDXZd0N7kaERGFDxGfVFNrcLiimugnPgTgjfsu4g+RYSZXJSJSR+FDxAf9/aNs5v/6ALht0y4nKMDf5IpERH6j8CHiY5Zt3s38j7KZMPJs/jKiJ/6t/MwuSUTEicKHiA/J21/CQ29spZWfhUmXnWN2OSIix6R/Eon4iPU5hcTOWgfArpTR5hYjItIAhQ8RH1BTa3Dji+sByHn6St1CKyIeTeFDxMutzvoZ2yPvA5D15Cj89ARaEfFwCh8iXuzNzbtJ/M8mwk5vQ3bKaALbaBiXiHg+/aUS8VLf7bGT9MZWLu3dicW3DzS7HBGRRlP4EPEyL3zyAzNXfg/A4J5nKHiIiNdR+BDxAlU1tRSVVTF81jqKyqsBePcvg+lnDTG3MBGRk6DwIeLBFq37gWdWfe/UNueGaK4dYDWpIhGRU6fwIeKh/pCyhoLiCgDO7RLE7BuiierUXrfRiojXU/gQ8UDPf7yLguIKXr7rQi45O9zsckREmpRutRXxMJvyDvDcBzsAFDxExCfpzIeIh6isruWcx1Y6lr97YpSJ1YiINB+FDxEPUFNrOIJH/PlWZl0fbXJFIiLNR+FDxGQV1TVEPbYKgK8eHUnH9gEmVyQi0rw05kPERDW1hiN4vH7PIAUPEWkRFD5ETPJLcbnjgXBvPXAxF/Y4w+SKRETcQ5ddRExw55KNrP3+FwBynr5ST6IVkRZFZz5E3OzdrXscwSMzeYSCh4i0ODrzIeJGNbUG41/9mmHndCD9zgvMLkdExBQ68yHiBoZh8MqGHx1jPP5x6/kmVyQiYp5Gh48ZM2aQmJhIQkICa9eubXDdESNGYLFYsFgshIeHU15eXm+dn376idDQUPLy8k64aBFvUlReRfeH3+eRt74BIO2OgQT4tzK5KhER8zTqssuCBQvIzs4mLS2N8vJyYmJiyMjIwGaz1Vt38+bNWK1W5s6dC0BUVBQBAfVvHxw/fjyHDh06tepFPNxeexkXzagL6x8nxdI9/HSTKxIRMZ/L8FFZWcm0adNYtmwZAAEBAYwaNYqUlBTS0tLqrb9w4UJSU1MJDg4+7jYXL17M0KFDWb58+SmULuK5/ldYwrDn1jmWdUeLiMhvXF52yczMpLCwkL59+zraoqOjWbFiRb11c3NzSU9Pp1evXowbN46ioqJ66/z4449s3bqVq6+++hRLF/FMb3292xE83rjvIvJmxil4iIgcxWX4yMrKws/Pj9DQUEdbaGgoBQUFHDx40Hljfn6kp6cTHx9PWloaMTEx7N2719FvGAZTp07lqaeeanSBvXv3xmq1YrVamTNnTqNfJ+Ju5VU1RCZnMOn1rdg6nE7ezDj+EBlmdlkiIh7H5WUXu91OSEgIfn6/5ZS2bdsCUFpa6hRKIiIiiIiIICEhgYkTJxIbG0tSUhJLly4F4IUXXuCmm24iODi4XnA5nu3btxMUFHRCOyVihuRl2wB45MpeJA7pYXI1IiKey+WZj7CwMCoqKpzaysrKAJyCx+/ZbDZSU1NZs2YNADk5OeTk5HD55ZefSr0iHun9b/by9n/3MOv6aO4ZasNi0WUWEZHjcRk+bDYbJSUlTrfLFhQUYLVaCQwMbPC1I0eOdASXl156iVmzZjluwe3evTsA3bt3Z9q0aaewCyLmuvVfG3hg6RYA4s+3mlyNiIjnc3nZJTY2lvDwcDZu3MiQIUOAunEgcXFxLjeen5/PmDFjALj33nudBpnu2bOHuLg4MjIyGDBgwMnWL2Kqy+Z8QvYvh2nlZ+GHp680uxwREa/gMnz4+/szadIkli9fzpAhQygpKWH16tWsXLmSwsJCRo0axdKlS4mKimL+/PkEBQVx++23c+DAAaZPn868efMAOPPMMznzzDMd2w0JCQGgT58+Tu0i3mBDTiF/fnE9AA+P7sW9w+rPeSMiIsfWqBlOp0yZQuvWrZkwYQJjx45l8eLFREZGUlFRQV5eHsXFxUDdWJDx48fTs2dPkpKSmDdvHp06dWrWHRBxtxXb9jiCxyt3X6jgISJygiyGYRhmF3EsRUVFBAcHY7fbdbeLeISyyhp6/22VYzl3xpUaWCoi8juN+f3WU21FGulI8Hj+5gHE9etscjUiIt5LT7UVaYQFa7MB+PPAbgoeIiKnSOFDxIXaWoNZH+4E4Jn4fiZXIyLi/RQ+RFzo8cj7AHw4aajJlYiI+AaFD5EGfPjdPgCuHdCVczq1N7kaERHfoAGnIsfwny/zWPxZLj8eKKVryGnMuSHG7JJERHyGwofI7zz29je8vP5Hx3Jm8ggTqxER8T0KHyJHydi2l5fX/8iAs0JY/sBgs8sREfFJGvMh8qvyqhrGvrKFNq39FDxERJqRwoe0eIZhcLiiml6P100i9tUjI02uSETEt+myi7Rombv2k7B4g2P52fh+hAS2MbEiERHfp/AhLVZ1Ta0jeHz1yEjaB/hzWptWJlclIuL7FD6kRfqh4DAjZ38CwNK7L6RjUIDJFYmItBwKH9Ki/P7JtNkpo/FvpaFPIiLupL+60mLs+uWwU/DIefpKBQ8RERPozIe0CGmf5/LkiiwAtjx+GWGna1CpiIhZFD7E532evd8RPHY8dQVtW2tQqYiImXTOWXza7oOl3PKvDXQLO428mXEKHiIiHkDhQ3zWtz/ZueSZjwFY8+Awk6sREZEjdNlFfM6WHw9y7cIvHMsfPTRMZzxERDyIwof4lIMllY7g0TXkND2RVkTEAyl8iM+wl1bRf/pqAP5520Au69PJ5IpERORYNOZDfMKqb/cR/eSHALx46/kKHiIiHkxnPsTr2cuquO/lzUDdxGF+fhaTKxIRkYYofIhXu/HFL1mfcwCom8NDwUNExPMpfIjXKquscQSPXSmjaa2p0kVEvILCh3itI89pyZ1xJRaLzniIiHgL/VNRvNItizcA8No9gxQ8RES8jMKHeKXPd+3nvK7BDOpxhtmliIjICdJlF/EaZZU15B8sZcXWPQCk3tTf5IpERORkKHyIVyivqnGM8QD4U/+uRIafbmJFIiJyshQ+xOMdKq0k5sm6mUszk0fQJThA4zxERLyYwod4tPwDpQx5tu7JtNufvILT2ugBcSIi3k7hQzzakeCx46kr9GRaEREfobtdxGP9UlwOwPSrz1XwEBHxITrzIR5p9oc7SF27C4AbLzjL5GpERKQpKXyIx4lMznD8f97MOBMrERGR5qDLLuJR/vNlHgBXx3RR8BAR8VEKH+Ix8g+U8rd3vgPg7zdqAjEREV+l8CEe45G3vgHg++lXmFyJiIg0p0aHjxkzZpCYmEhCQgJr165tcN0RI0ZgsViwWCyEh4dTXl5310JtbS2TJk0iNDSUyMhIXnvttVOrXnzG2u9/5rPs/cy+PpoAf93ZIiLiyxo14HTBggVkZ2eTlpZGeXk5MTExZGRkYLPZ6q27efNmrFYrc+fOBSAqKoqAgAAAFi1aRP/+/bn55pt5+umnue222xg2bBidO3duwl0Sb2MYBncu2QTANf27mlyNiIg0N5fho7KykmnTprFs2TIAAgICGDVqFCkpKaSlpdVbf+HChaSmphIcHFyvb9SoUfTs2ROAF198kY4dO/Lzzz8rfLRw/87MA+CrR0bSyk/TpouI+DqXl10yMzMpLCykb9++jrbo6GhWrFhRb93c3FzS09Pp1asX48aNo6ioyKn/SPAAqKqq4qKLLiI6OvpU6hcvZxgGT67Ion1AazoGBZhdjoiIuIHL8JGVlYWfnx+hoaGOttDQUAoKCjh48KDzxvz8SE9PJz4+nrS0NGJiYti7d2+9bZaXl5OUlMSiRYtcPiCsd+/eWK1WrFYrc+bMaex+iZc48qTarx651ORKRETEXVyGD7vdTkhICH5+v63atm1bAEpLS53WjYiIICEhgdTUVLZt20ZVVRVJSUlO6+zbt4+kpCTeeustRowYwc6dOxt8/+3bt7N79252797Ngw8+2OgdE8/X/eEMyqtqeeKqc/XAOBGRFsRl+AgLC6OiosKpraysDMDpbMjv2Ww2UlNTWbNmjVP7mWeeyYIFC9i6dSutW7dm1qxZJ1O3eLlvdtsxDLjpgm7cfnGk2eWIiIgbuQwfNpuNkpISx+2yAAUFBVitVgIDAxt87ciRI+sFlyPOOeccHnjgAfbs2XOCJYsv+OOCzwF4+k/nmVyJiIi4m8vwERsbS3h4OBs3bnS0ZWVlERfneurr/Px8xowZc9z+kJAQ+vXr18hSxRcYhuF4dsvkK6JcjvkRERHf4zJ8+Pv7M2nSJJYvXw5ASUkJq1evJjk5mcLCQgYOHMiOHTsAmD9/PkuWLMEwDAoLC5k+fTqzZ892bGvp0qXk5uYCcOjQId555x0mTZrUHPslHsgwDKIerxtg+tQ1fXkgtqeLV4iIiC9q1AynU6ZMoXXr1kyYMIGxY8eyePFiIiMjqaioIC8vj+LiYqBuLMj48ePp2bMnSUlJzJs3j06dOgF1s5suWrSI8847j7i4OB5++GH+8Y9/0KFDh+bbO/EoM1d+T2V1LZOviOKWQRFmlyMiIiaxGIZhmF3EsRQVFREcHIzdbicoKMjscqQJHLncoqfVioj4rsb8fuvBcuIWqR9lA/Dfv11mciUiImI2hQ9pdvkHSpm9eidnd2xHSGAbs8sRERGTKXxIsxvy7McAfDhpqMmViIiIJ1D4kGb1wXf7AHgg1qbbakVEBFD4kGZUU2tw70ubAfjrqCiTqxEREU+h8CHN4s3Nu7E98j4An08ZrrMeIiLi0NrsAsT3FJVXkfTGVkC31YqISH068yFNrt+0DwHInXGlyZWIiIgnUviQJpW7vwSAy/t00qUWERE5JoUPaVI3/ONLAJ5PGGByJSIi4qkUPqTJvP/NXgqKK3j0yt74t9JXS0REjk2/ENJkHli6BYDEoT1MrkRERDyZwoc0ia9/PAjAas1iKiIiLih8yCnbkFPInxZ+AcDZndqbXI2IiHg6hQ85JbW1Bn9+cT2gOT1ERKRxFD7klPT4dRZTPTROREQaS+FDTto5j60E4N6hPThHl1tERKSRFD7kpMxZvZPK6lr6dg3i4St7m12OiIh4EYUPOWGGYTD/o2wAVowbYnI1IiLibRQ+5IQcLKmk+8N14zzWPDjM5GpERMQbKXzICek/fTUAL9wygJ4d25lcjYiIeCOFD2m0wxXVADxyZS+u6NvZ5GpERMRbKXxIo12QsgaAuy7R9OkiInLyFD6kUQ6WVFJaWQNAKz+LydWIiIg3U/iQRjky1iPn6StNrkRERLydwoe4tCQzF6g74+Gnsx4iInKKFD6kQeVVNUx7L4vT/Fux86nRZpcjIiI+QOFDGtTr8VUAfP23yzTWQ0REmoTChxxX+hd5APy/wZEE+LcytxgREfEZCh9yTEXlVUx99zsu6nEGU/94rtnliIiID1H4kGPqN+1DAF645XyTKxEREV+j8CFO/ldYQmRyBgDL7r+Y4EB/kysSERFf09rsAsQzVFTX8N7WvSS9sRWA1+8ZxPkRoSZXJSIivkjhQwC49V9f8VXuAQB2pYymdSudFBMRkeah8CEkL9vGV7kHePHW87n83DPNLkdERHyc/nnbwhmGwWsb8zm7YzsFDxERcQuFjxau+8PvA/Dm/RebXImIiLQUCh8t2I59xQA8PqYPwafprhYREXEPjflogapraun56ErH8l2XdDexGhERaWl05qOFqak1GDB9NQBtWvuRO+NKkysSEZGWRmc+WpCxS7eQ8c1eAMaP6MmDl0eZXJGIiLREjT7zMWPGDBITE0lISGDt2rUNrjtixAgsFgsWi4Xw8HDKy8sBKCsr47777iMsLIzIyEhSU1NPrXpptF+Kyx3BI29mnIKHiIiYplFnPhYsWEB2djZpaWmUl5cTExNDRkYGNput3rqbN2/GarUyd+5cAKKioggICABg6tSpnHbaaSxcuJA333yT8ePHEx4ezk033dSEuyTHckHKRwC6zCIiIqazGIZhNLRCZWUlXbp0YdmyZQwbNgyACRMmUFxcTFpaWr3177rrLubMmUNwcLBTu2EYzJ8/nwkTJjiWBw0aRJcuXXjrrbfqbaeoqIjg4GDsdjtBQUEnvYMtXeau/SQs3gDAK3dfyMU9w02uSEREfFljfr9dXnbJzMyksLCQvn37Otqio6NZsWJFvXVzc3NJT0+nV69ejBs3jqKiIqf+Bx54wPH/FouFYcOG0bZt20bvkJy4I8HjsbjeCh4iIuIRXIaPrKws/Pz8CA397SFjoaGhFBQUcPDgQeeN+fmRnp5OfHw8aWlpxMTEsHdv3TgDi8WCv7/zXBL79u3juuuua/D9e/fujdVqxWq1MmfOnEbvmEB5VQ1Q93Tau4f0MLkaERGROi7HfNjtdkJCQvDz+y2nHDlbUVpa6hRKIiIiiIiIICEhgYkTJxIbG0tSUhJLly6tt92ioiJ++eUX4uPjG3z/7du367LLSVqd9TMAA84KMbcQERGRo7g88xEWFkZFRYVTW1lZGYBT8Pg9m81Gamoqa9asOWb/7NmzWbhwIRaL5UTqlUb6paicca9+DaBjLCIiHsVl+LDZbJSUlDhulwUoKCjAarUSGBjY4GtHjhxZL7gAvPPOOwwePJgePXQpoLk8uSILgJyndXeLiIh4FpfhIzY2lvDwcDZu3Ohoy8rKIi4uzuXG8/PzGTNmjFNbZmYmpaWlXH755Y62kpKSE6lZXFj7/c+s2LaXAH8//Px01kNERDyLy/Dh7+/PpEmTWL58OVAXFFavXk1ycjKFhYUMHDiQHTt2ADB//nyWLFmCYRgUFhYyffp0Zs+e7djWhg0bWLBgAaGhoaxatYoVK1YwduxY8vPzm2n3Wp5ZH+zgziWbAPh++miTqxEREanP5TwfADU1NSQnJ1NZWYndbicxMZHBgwezZ88e+vXrx6pVqxg4cCDPPPMMKSkpdOjQgaFDhzJz5kw6deoEwNatWxkyZAjFxcVO2z7vvPPYtm1bvffUPB8nrqbWwPbI+0DdLKYiIiLu1pjf70aFDzMofJyYo4PHxkcvpUN7zZ8iIiLu1ySTjIl3+GTnLwB89NAwBQ8REfFoCh8+4sg4D1uHdiZXIiIi0jCFDx9w3aIvAEgc0t3kSkRERFxT+PBy1TW1bP5f3TT3j8b1MbkaERER1xQ+vNz9S7cAsP3JK0yuREREpHFcPttFPFNZZQ1v//cnVmf9zLgRPTmtTSuzSxIREWkUhQ8v1ftvqxz/P+nSc0ysRERE5MQofHihjXkHAHh//BD6dNEcKCIi4l005sMLXf/ClwAKHiIi4pUUPrzMf/MPATB+5NnmFiIiInKSFD68yKpv93HN85kATLpU4UNERLyTwocX+Wj7zwAsvm0gFovF5GpEREROjgaceokRs9eRU1DCHRdHcmmfTmaXIyIictJ05sMLHCipJKegBICpf9QspiIi4t0UPrzAgOmrAchOGa3LLSIi4vUUPjxcTa0BwPSrz8W/lT4uERHxfvo183Dvbd0DwE0XnGVyJSIiIk1D4cPDTXz9vwC01lkPERHxEfpF82DPf7wLgOfi+5lciYiISNNR+PBQ/87M5bkPdgBw3QCrydWIiIg0HYUPD5RTcJgn3ssC6u5w8fPTHS4iIuI7NMmYhzEMgxGzPwEgb2acydWIiIg0PZ358DDdH34fgMlXRJlciYiISPNQ+PAgb3/9EwATRp7NA7E9Ta5GRESkeSh8eIgDJZWO22on6om1IiLiwxQ+PMSRKdSznhylKdRFRMSnKXx4gH9+mgPA38b0IbCNxgCLiIhvU/jwACnvb6dP5yDuvKS72aWIiIg0O4UPk0UmZwCwMGGAyZWIiIi4h8KHiSb9OsD0inPPJDL8dHOLERERcROFD5MYhsFbv95a+8Kt55tcjYiIiPsofJjkyGRiqyYOMbkSERER91L4MEH+gVIAzu0SRK8zg0yuRkRExL0UPkww5NmPAVgx7hKTKxEREXE/hQ83Ky6vAiDaGqzJxEREpEVS+HCjHwtLOW/ahwC8PXawydWIiIiYQ+HDjaYs2wbA5scu1VkPERFpsRQ+3GTB2my+zCmkT+cgzmjX1uxyRERETKPw4QafZRcw68OdALw/QbfWiohIy6bw4QYpGdsByJ1xpcmViIiImK/R4WPGjBkkJiaSkJDA2rVrG1x3xIgRWCwWLBYL4eHhlJeXO/oqKytZuHAhF1988clX7UUMw+D7fcX8dVSUxnmIiIgAjXp++4IFC8jOziYtLY3y8nJiYmLIyMjAZrPVW3fz5s1YrVbmzp0LQFRUFAEBAY7+zMxM1qxZw549e5poFzzb0Ofq5vS4S0+sFRERARoRPiorK5k2bRrLli0DICAggFGjRpGSkkJaWlq99RcuXEhqairBwcHH3N7w4cPZtWsXW7ZsOcXSvUP+gTKGR3UgwL+V2aWIiIh4BJeXXTIzMyksLKRv376OtujoaFasWFFv3dzcXNLT0+nVqxfjxo2jqKjomNv09/c/hZK9h72sbkKx8SPPNrkSERERz+EyfGRlZeHn50doaKijLTQ0lIKCAg4ePOi8MT8/0tPTiY+PJy0tjZiYGPbu3XtKBfbu3Rur1YrVamXOnDmntC13i36ibkKxmG4h5hYiIiLiQVxedrHb7YSEhODn91tOadu2bp6K0tJSp1ASERFBREQECQkJTJw4kdjYWJKSkli6dOlJF7h9+3aCgrzv4WtHHh73xn0XaaCpiIjIUVye+QgLC6OiosKpraysDMApePyezWYjNTWVNWvWnGKJ3undrXUDav8QGWZyJSIiIp7FZfiw2WyUlJQ43S5bUFCA1WolMDCwwdeOHDmyXnBpKV796kfuuDjS7DJEREQ8jsvwERsbS3h4OBs3bnS0ZWVlERcX53Lj+fn5jBkz5tQq9ELbdh9i98EyRvc90+xSREREPI7L8OHv78+kSZNYvnw5ACUlJaxevZrk5GQKCwsZOHAgO3bsAGD+/PksWbIEwzAoLCxk+vTpzJ49u942a2pqqK2tbeJd8QylldVctSCT09u04sIeZ5hdjoiIiMdp1AynU6ZMoXXr1kyYMIGxY8eyePFiIiMjqaioIC8vj+LiYqBuLMj48ePp2bMnSUlJzJs3j06dOjlt6/PPP+fVV19l7969LFy48Li343qrdTsKAHjo8iiTKxEREfFMFsMwDLOLOJaioiKCg4Ox2+1edbdLZHIGnYLasuGRS80uRURExO0a8/utB8s1odVZPwPw9J/OM7kSERERz6Xw0YQS/7MJgJG9O7lYU0REpOVq1IPlpGGGYfDPz3IAeO2eQSZXIyIi4tkUPk7Rtz/ZGZP6uWN5kO5wERERaZDCxymwl1U5gseihAGcH3H8GV9FRESkjsLHKTjy4LidT42mTWsNnxEREWkM/WKepKUb/gfA4tsGKniIiIicAP1qnqT/27Sb87oGc2kf3dkiIiJyIhQ+TsKuX4rZmn+IQT30xFoREZETpfBxguxlVVw651MAHo3rY3I1IiIi3kfh4wQdGWT62eThJlciIiLinRQ+TlK3sECzSxAREfFKCh8n4Mn3sgD4+vHLTK5ERETEeyl8nIBN/zsAQOjpbUyuRERExHspfJyA/cUVTL/6XLPLEBER8WoKH4306c4C9tjLsXVsZ3YpIiIiXk3ho5Ge+2AHABfbwk2uRERExLspfDTSNz/ZzS5BRETEJyh8nID7htnMLkFERMTrKXw0wuQ3twJw60URJlciIiLi/RQ+GuH/Nu0GoGvIaSZXIiIi4v0UPlx44ZMfAFh820CTKxEREfENCh8uzFz5PQCX9ulkciUiIiK+QeGjARXVNQAsu/8ikysRERHxHQofDbh24RcAnNc1xNxCREREfIjCx3FU1dTy3Z4ihp3TgTatdZhERESain5Vj+PsR1cC8Mx1/UyuRERExLe0NrsAT/WHyFDiz7dyZnCA2aWIiIj4FJ35OIbDFdVszDtIP2uI2aWIiIj4HIWPY3hqRRYAvc5sb3IlIiIivkfh43c+2v4zr23M56YLzsJisZhdjoiIiM9R+Pidu9I3ATDj2vNMrkRERMQ3KXwc5eZ/rgfgpgvOMrkSERER36Xw8atfisv54odCrhtg1VkPERGRZqTw8asLUj4CYGBkqMmViIiI+DaFD+CnQ2VA3dweuuQiIiLSvFp8+CivqmHwzLUAvHHfxSZXIyIi4vtafPjo98SHACy4ub/JlYiIiLQMLTp8vP31T1RW1xJ/vpUx/bqYXY6IiEiL0KLDx98/yibyjEBmXR9tdikiIiItxgmFjxkzZpCYmEhCQgJr165tcN0RI0ZgsViwWCyEh4dTXl7u6MvIyCAhIYHExETmzp17cpWfohv+8SW5+0uYeOk5pry/iIhIS9Xop9ouWLCA7Oxs0tLSKC8vJyYmhoyMDGw2W711N2/ejNVqdQSLqKgoAgLqng67ZcsWkpOT2bJlC/7+/sTHx9O5c2duvPHGJtol1wzD4KvcAwCM6dfZbe8rIiIijQwflZWVTJs2jWXLlgEQEBDAqFGjSElJIS0trd76CxcuJDU1leDg4Hp9U6dOJT4+Hn9/fwASEhJISkriz3/+s9uepfLm5t0A7HjqClq3atFXnkRERNyuUb+8mZmZFBYW0rdvX0dbdHQ0K1asqLdubm4u6enp9OrVi3HjxlFUVOToKysrY82aNfW2k5OTQ1ZW1qnsxwnZZy9n1LmdaNu6ldveU0REROo0KnxkZWXh5+dHaOhvs3+GhoZSUFDAwYMHnTfo50d6ejrx8fGkpaURExPD3r17AcjJyaG8vJzw8HCn7QDs3LnzmO/du3dvrFYrVquVOXPmnNjeHceZwQFc0ffMJtmWiIiInJhGXXax2+2EhITg5/dbVmnbti0ApaWlTqEkIiKCiIgIEhISmDhxIrGxsSQlJbF06VLsdjsAYWFhx9zOsWzfvp2goKAT3K2GXT+wW5NuT0RERBqvUWc+wsLCqKiocGorK6ubkvzo4PF7NpuN1NRU1qxZ49gO4LStxmxHREREfEejwofNZqOkpMTpdtmCggKsViuBgYENvnbkyJGOsHHWWWfh7+/P/v37nbYDdXfEiIiIiO9rVPiIjY0lPDycjRs3OtqysrKIi4tz+dr8/HzGjBkDQGBgIKNHj663naioqGPesisiIiK+p1Hhw9/fn0mTJrF8+XIASkpKWL16NcnJyRQWFjJw4EB27NgBwPz581myZAmGYVBYWMj06dOZPXu2Y1t//etfeeeddzAMA4CXXnqJp556qqn3S0RERDyUxTiSAlyoqakhOTmZyspK7HY7iYmJDB48mD179tCvXz9WrVrFwIEDeeaZZ0hJSaFDhw4MHTqUmTNn0qlTJ6dtpaens27dOgICAhgwYACJiYn13q+oqIjg4GDsdnuTDzgVERGR5tGY3+9Ghw93U/gQERHxPo35/db0niIiIuJWCh8iIiLiVgofIiIi4lYKHyIiIuJWCh8iIiLiVgofIiIi4lYKH16kqZ7qKw3TcXYPHWf30bF2Dx3nxtM8H17EarWye/dus8vweTrO7qHj7D461u6h41xH83yIiIiIx2ltdgHHc+SETFFRkcmVeA7DMHQ83EDH2T10nN1Hx9o9dJzrHDkGDV1Y8djLLrt376Zbt25mlyEiIiInIT8/H6vVesw+jw0ftbW17Nmzh/bt22OxWMwuR0RERBrBMAyKi4vp0qULfn7HHt3hseFDREREfJMGnIqIiIhbKXyIiIiIWyl8iIiIiFt57K22vsput5Oenk5YWBhdu3Zl+PDhlJaWMmHCBE477TQOHDhASkoKERERjtds2LCBefPmERoaSkhICCkpKU6DcGfMmEFOTg6lpaXcddddjBgxwtH3yy+/8NBDDxEaGsrhw4eZPXs2oaGhbt1ndzl8+DBTpkwhKCiI6upqKioqeO6552jbti0ANTU1TJ48mbKyMg4dOsSUKVOIjo52vD47O5upU6cSFhYGwOzZsx2vBfj3v//NunXrsFgsjBo1iptuusnR5+oz9AX79+/nmWeeoaSkhIULFzrazfz+ZmRk8MorrxAYGEifPn2YNGlSMx8F9zjesf7444+ZMGECeXl5DB48mEWLFhEZGenob87vsKvP0Rsd7zgfbfLkyfzyyy8sWbLE0abj3AQMcZtdu3YZN954o7F//36n9uuuu85IT083DMMwtm3bZpx33nlGZWWlYRiGsXv3bqN79+7GgQMHDMMwjIceesiYMWOG47WpqanG//t//88wDMMoKyszoqKijF27dhmGYRg1NTXGH/7wB+OTTz4xDMMw3nvvPWPUqFHNu5MmeuCBB4zZs2c7lseOHWs89thjjuWHHnrIeOKJJwzDMIyff/7Z6NGjh3Hw4EHDMAzj8OHDRs+ePY3s7GzDMOqO67333ut47bvvvmuMGDHCMIy64zpo0CDj888/d/Q39Bn6gsrKSuOtt94yzj77bOP222936jPr+7t582ajb9++jve67rrrjFdffbUZ9t69jnesf/rpJ2PQoEHGv/71L2P+/PnGGWecYfTp08eoqqoyDKN5v8OuPkdv1NB3+ojMzEyjXbt2Tv06zk1D4cNNDhw4YFx88cXGvn37nNo3bdpkBAQEGOXl5Y62fv36Ob6cf/nLX4w77rjD0bdlyxajXbt2xuHDh42KigrjjDPOMNatW+foHz9+vOOP+ZtvvmlERkY6+mpra43g4GDHH3Nf06dPH+PNN990LL/wwgvGVVddZRiGYezdu9fw9/c38vLyHP1XXXWVI4zMmjXLiI2NdfQVFhYafn5+Rm5urmEYhtG3b19jyZIljv45c+YYw4cPNwzD9WfoS26++WanP8Rmfn/HjBljTJs2zdG/fPlyo0ePHkZtbW3T7rRJfn+sX3rpJaOgoMCxnJGRYQDGf//7X8Mwmvc73NDn6O1+f5yPKCkpMW6++WYjISHBqV/HuWlozIebTJ06lR49ejBjxgwGDRrE5MmTqa6u5t1336Vnz55Op+yio6N57733AHj33Xfp27evo++8886jtLSUdevWkZmZSWFhoVN/dHQ0K1asOOZrLRYL/fr1c2zb1/Tr14+FCxdSW1sLwKZNm7jvvvsAWLlyJW3btnU6vdnQcT5yWSwjI4Pc3Fy+/fbbesd53bp1FBcXu/wMfYm/v7/Tslnf37KyMtasWVPvtTk5OWRlZTXtTpvk98f6hhtuIDw83LEcGxsL4Dj2zfkdbuhz9Ha/P85HPPnkkzz22GO0bu08OkHHuWkofLhBaWkpixcvZsCAAcydO5clS5awaNEipkyZQlZWltMfFIDQ0FB27txJSUkJP/74o1N/69atadeuHTt37iQrKws/Pz+na+ChoaEUFBRw8ODBBrfti+bMmUNOTg633XYbX3zxBddccw2jR48GcHksGuo/8mN2dH9oaCiGYbBr164Wd5yPZtb3Nycnh/Ly8nqfCeCzx71NmzZOy/v27ePcc8+lV69eQPN9h119jr7ok08+oVOnTvTu3bten45z01D4cIMNGzZQVlZGQkICFouFXr168ec//5lFixZht9sdg5aOaNu2LaWlpdjtdoAG+0NCQpxmkDuSqI/0H++1vqhz5868/vrrBAcHc+WVVzrOgAAuj8WJfg4t+Tgfzazvr6vPpCV4+eWXee655xzLzfUddvU5+prDhw+TlpbGhAkTjtmv49w0FD7cYN++fQCcfvrpjrbY2FjKysqoqamhoqLCaf2ysjJCQ0MdX8KG+o/VBzTY76t3u2zfvp0vv/yS559/nlmzZnHttdfywQcfALg8Fg31H+tzaMnH+Wgnetx+33+y319Xn4mv+/HHH6moqHCc2YPm+w67+hx9zRNPPMHUqVOPOy24jnPTUPhwg/bt2wNw8OBBR1vHjh0BiImJYf/+/U7rFxQUEBUVRUBAAF26dHHqLysr4/Dhw0RFRWGz2SgpKaG8vNzptVarlcDAQGw223G37YvuvvtuhgwZ4vj/v/zlLyQlJQG4PBYN9dtsNgCn/oKCAtq0aUNkZGSLO85Ha2jfm/P7e9ZZZ+Hv71/vMwF8/riXlZWxaNEipk2b5tTeXN9hV5+jr5k1axY2mw2LxYLFYiE9PZ309HTH7a46zk1D4cMNLrroIvz9/fnqq68cbQcOHKB///7ccsstbNu2zSntZmVlERcXB0B8fDwbN2509G3fvp3g4GAGDx5MbGws4eHhTv0Nvba2tpbvv//e0e9rtm7d6nRd/K677iI/Px+Aq6++mgMHDjiWoeFjVVhYSGFhIaNGjeLss8+mX79+9Y7z8OHDCQwMJD4+vsHP0Je52vfm+v4GBgYyevToeq89+gfAF9XU1DBz5kySk5MdAyVLSkqA5v0ON/Q5+pqvv/7a6b8//vGP/PGPf+Trr78GdJybjMl327QYSUlJxqWXXupYvuGGGxy3hV522WXG22+/bRiGYXz99ddGdHS0UV1dbRiGYWRnZxvdu3c3ysrKDMMwjIkTJxrPPfecYzspKSnGxIkTDcOou/+8V69ejlu+KisrjT59+jhuxXv77beNuLi45t1RE8XHxxvPPvusY/nNN980EhISHMuJiYnGvHnzDMOou/XWZrMZdrvdMIy6W6HPOussx63Q8+bNM8aOHet47dKlS41rrrnGMAzDqK6uNgYNGmR8+eWXjv6GPkNfcssttxi33nqrU5tZ39/PPvvMOP/88x231l5zzTXGG2+80Qx7bY7fH+vq6mrjzjvvNNLS0oyVK1caK1euNNLT042HH37YMIzm/Q67+hy92bG+00e7/fbbnW611XFuGnqqrZtUV1czefJkSktLCQoKIiIigrFjxwJ1p+gmTZpE586d2b9/P0899RRdunRxvHbVqlW8/PLLhIWF0bFjRx577DFHX01NDcnJyVRWVmK320lMTHRKyTk5OTz66KN069aNoqIinnvuOcdlIF9jt9tJSkqiS5cutGvXjn379vG3v/2N4OBgoO4U5oQJEwgKCmL//v1MnjyZPn36OF6/adMmZs+eTZcuXbBYLMyYMcPpNrxnnnmGvLw8Kisrueqqq7j66qsdfa4+Q1/w+uuvM3nyZPz8/Hj22We5/vrrAXO/v+np6axbt46AgAAGDBhAYmKiG45E8zvWsb799tv5z3/+U2/dZcuWce211wLN+x1u6HP0Vsf7Th/tjjvuAHCa4VTH+dQpfIiIiIhbacyHiIiIuJXCh4iIiLiVwoeIiIi4lcKHiIiIuJXCh4iIiLiVwoeIiIi4lcKHiIiIuJXCh4iIiLiVwoeIiIi4lcKHiIiIuNX/B224XRsZ98/oAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "battles=50000 ; wins=25000 ; losses=25000\n",
    "count=[] ; ratio=[]\n",
    "\n",
    "for n in range(100000):\n",
    "    if np.random.rand() >= (1.-0.6):\n",
    "        wins=wins+1\n",
    "    else:\n",
    "        losses=losses+1\n",
    "    count.append(n+battles)\n",
    "    ratio.append(wins/(wins+losses))\n",
    "    \n",
    "plt.plot(count,ratio)\n",
    "plt.plot([battles,110000],[0.55,0.55]);\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "7abe817f-4621-4afd-a83d-a4fcb84b9a82",
   "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>date</th>\n",
       "      <th>time</th>\n",
       "      <th>id</th>\n",
       "      <th>country</th>\n",
       "      <th>region</th>\n",
       "      <th>source</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>mb</th>\n",
       "      <th>Ms</th>\n",
       "      <th>depth</th>\n",
       "      <th>yield_lower</th>\n",
       "      <th>yield_upper</th>\n",
       "      <th>purpose</th>\n",
       "      <th>name</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19450716</td>\n",
       "      <td>123000.0</td>\n",
       "      <td>45001</td>\n",
       "      <td>USA</td>\n",
       "      <td>ALAMOGORDO</td>\n",
       "      <td>DOE</td>\n",
       "      <td>32.54</td>\n",
       "      <td>-105.57</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.10</td>\n",
       "      <td>21.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>WR</td>\n",
       "      <td>TRINITY</td>\n",
       "      <td>TOWER</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19450805</td>\n",
       "      <td>231500.0</td>\n",
       "      <td>45002</td>\n",
       "      <td>USA</td>\n",
       "      <td>HIROSHIMA</td>\n",
       "      <td>DOE</td>\n",
       "      <td>34.23</td>\n",
       "      <td>132.27</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.60</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>COMBAT</td>\n",
       "      <td>LITTLEBOY</td>\n",
       "      <td>AIRDROP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19450809</td>\n",
       "      <td>15800.0</td>\n",
       "      <td>45003</td>\n",
       "      <td>USA</td>\n",
       "      <td>NAGASAKI</td>\n",
       "      <td>DOE</td>\n",
       "      <td>32.45</td>\n",
       "      <td>129.52</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.60</td>\n",
       "      <td>21.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>COMBAT</td>\n",
       "      <td>FATMAN</td>\n",
       "      <td>AIRDROP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19460630</td>\n",
       "      <td>220100.0</td>\n",
       "      <td>46001</td>\n",
       "      <td>USA</td>\n",
       "      <td>BIKINI</td>\n",
       "      <td>DOE</td>\n",
       "      <td>11.35</td>\n",
       "      <td>165.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>21.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>WE</td>\n",
       "      <td>ABLE</td>\n",
       "      <td>AIRDROP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19460724</td>\n",
       "      <td>213500.0</td>\n",
       "      <td>46002</td>\n",
       "      <td>USA</td>\n",
       "      <td>BIKINI</td>\n",
       "      <td>DOE</td>\n",
       "      <td>11.35</td>\n",
       "      <td>165.20</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>21.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>WE</td>\n",
       "      <td>BAKER</td>\n",
       "      <td>UW</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       date      time     id country      region source    lat    long   mb  \\\n",
       "0  19450716  123000.0  45001     USA  ALAMOGORDO    DOE  32.54 -105.57  0.0   \n",
       "1  19450805  231500.0  45002     USA   HIROSHIMA    DOE  34.23  132.27  0.0   \n",
       "2  19450809   15800.0  45003     USA    NAGASAKI    DOE  32.45  129.52  0.0   \n",
       "3  19460630  220100.0  46001     USA      BIKINI    DOE  11.35  165.20  0.0   \n",
       "4  19460724  213500.0  46002     USA      BIKINI    DOE  11.35  165.20  0.0   \n",
       "\n",
       "    Ms  depth  yield_lower  yield_upper purpose       name     type  \n",
       "0  0.0  -0.10         21.0         21.0      WR    TRINITY    TOWER  \n",
       "1  0.0  -0.60         15.0         15.0  COMBAT  LITTLEBOY  AIRDROP  \n",
       "2  0.0  -0.60         21.0         21.0  COMBAT     FATMAN  AIRDROP  \n",
       "3  0.0  -0.20         21.0         21.0      WE       ABLE  AIRDROP  \n",
       "4  0.0   0.03         21.0         21.0      WE      BAKER       UW  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/nuclear-explosion-data.csv') \n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "bef0820e-a8be-4a80-be9d-08145080a102",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=2051, step=1)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index                                                               "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6d6e7abd-1477-4c96-97a5-515a9821dd35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['date', 'time', 'id', 'country', 'region', 'source', 'lat', 'long',\n",
       "       'mb', 'Ms', 'depth', 'yield_lower', 'yield_upper', 'purpose', 'name',\n",
       "       'type'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "14d9186c-ec8e-4398-8819-422cb013d1e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import datetime\n",
    "\n",
    "def parse_time(t):\n",
    "    hour, t = divmod(t, 10000)\n",
    "    minute, t = divmod(t, 100)\n",
    "    return int(hour), int(minute), int(t)\n",
    "\n",
    "def parse_datetime(date, time):\n",
    "    date_and_time = datetime.datetime.strptime(str(date), '%Y%m%d')\n",
    "    hour, minute, second = parse_time(time)\n",
    "    return date_and_time.replace(hour=hour, minute=minute, second=second)\n",
    "\n",
    "df.index = pd.DatetimeIndex([parse_datetime(date, time) for date, time in zip(df['date'], df['time'])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "52b6a6f7-f93e-4b9a-89e9-30eb455d737a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "explosion_number = df.groupby(df.index.year).size()\n",
    "fig, ax = plt.subplots()\n",
    "ax.bar(explosion_number.index, explosion_number.values)\n",
    "ax.set_xlabel('Year')\n",
    "ax.set_ylabel('Number of nuclear explosions');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "ca827f4e-78f3-468b-893a-65418a0d0796",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      country\n",
      "1945  USA         3\n",
      "1946  USA         2\n",
      "1948  USA         3\n",
      "1949  USSR        1\n",
      "1951  USA        16\n",
      "      USSR        2\n",
      "1952  UK          1\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "df2 = df.groupby([df.index.year, df.country])\n",
    "explosions_by_country = df2.size()\n",
    "print(explosions_by_country.head(7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "00d1c46e-480b-4e91-becb-95313922673e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "country  CHINA  FRANCE  INDIA  PAKISTAN   UK   USA  USSR\n",
      "1945       0.0     0.0    0.0       0.0  0.0   3.0   0.0\n",
      "1946       0.0     0.0    0.0       0.0  0.0   2.0   0.0\n",
      "1948       0.0     0.0    0.0       0.0  0.0   3.0   0.0\n",
      "1949       0.0     0.0    0.0       0.0  0.0   0.0   1.0\n",
      "1951       0.0     0.0    0.0       0.0  0.0  16.0   2.0\n",
      "1952       0.0     0.0    0.0       0.0  1.0  10.0   0.0\n",
      "1953       0.0     0.0    0.0       0.0  2.0  11.0   5.0\n"
     ]
    }
   ],
   "source": [
    "explosions_by_country = explosions_by_country.unstack().fillna(0)\n",
    "print(explosions_by_country.head(7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "36481b0d-4df6-4a81-a8c4-54eb1f6f97a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "countries = ['USA', 'USSR', 'UK', 'FRANCE', 'CHINA', 'INDIA', 'PAKISTAN']\n",
    "bottom = np.zeros(len(explosions_by_country))\n",
    "fig, ax = plt.subplots()\n",
    "for country in countries:\n",
    "    ax.bar(explosions_by_country.index, explosions_by_country[country],\n",
    "            bottom=bottom, label=country)\n",
    "    bottom += explosions_by_country[country].values\n",
    "\n",
    "ax.set_xlabel('Year')\n",
    "ax.set_ylabel('Number of nuclear explosions')\n",
    "ax.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "001083d1-7a8d-4216-a070-0acaebeb28a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import geopandas\n",
    "import pyogrio\n",
    "world = geopandas.read_file(geopandas.datasets.get_path('naturalearth_lowres'))\n",
    "fig, ax = plt.subplots()\n",
    "world.plot(ax=ax, color=\"0.8\", edgecolor='black', linewidth=0.5)\n",
    "\n",
    "df['yield_estimate'] = df[['yield_lower','yield_upper']].mean(axis=1)\n",
    "sizes = (df['yield_estimate'] / 120).clip(10)\n",
    "ax.scatter(df['long'], df['lat'], s=sizes, fc='r', ec='none', alpha=0.5)\n",
    "ax.set_ylim(-60, 90)\n",
    "plt.axis('off');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9192656-9c83-40ee-a465-df2b2c799854",
   "metadata": {},
   "source": [
    "The file ozone.csv gives tables for the total ozone column amounts every October in \"Dobson units\", and the concentrations of two chlorofluorocarbon (CFC) compounds, \"F11\" and \"F12\", in parts per trillion by volume (pptv) for the years 1957 – 1984 (The Dobson unit is defined as the thickness, in units of 0.01 mm, that a layer of pure gas would form at standard conditions for temperature and pressure from its total column amount in the atmosphere above a region of the Earth's surface.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6a605503-4340-4ae8-b493-2ed61e03d684",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = pd.read_csv('data/ozone.csv', index_col=0, comment='#')\n",
    "\n",
    "# From the data comments, the uncertainty in the ozone column amount is 15 DU.\n",
    "dO3 = 15\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "fig.subplots_adjust(right=0.75)\n",
    "\n",
    "O3line, _, _ = ax.errorbar(df.index, df['Total Ozone /DU'], yerr=dO3,\n",
    "                           marker='x', ls='', label='ozone')\n",
    "ax.yaxis.label.set_color(O3line.get_color())\n",
    "ax.tick_params(axis='y', colors=O3line.get_color())\n",
    "ax.spines['left'].set_edgecolor(O3line.get_color())\n",
    "ax.set_xlabel('Year')\n",
    "ax.set_ylabel('Total Ozone /DU')\n",
    "\n",
    "ax2 = ax.twinx()\n",
    "F11line, = ax2.plot(df.index, df['[F11] /pptv'], c='tab:orange', marker='o',\n",
    "                    ls='', label='F11')\n",
    "ax2.set_ylim(-50, 300)\n",
    "ax2.invert_yaxis()\n",
    "ax2.yaxis.label.set_color(F11line.get_color())\n",
    "ax2.spines['right'].set_edgecolor(F11line.get_color())\n",
    "ax2.tick_params(axis='y', colors=F11line.get_color())\n",
    "ax2.set_yticks([0, 100, 200])\n",
    "ax2.set_ylabel('[F11] /pptv')\n",
    "\n",
    "ax3 = ax.twinx()\n",
    "F12line, = ax3.plot(df.index, df['[F12] /pptv'], c='tab:green', marker='o',\n",
    "                    ls='', label='F12')\n",
    "ax3.set_ylim(-100, 600)\n",
    "ax3.invert_yaxis()\n",
    "ax3.yaxis.label.set_color(F12line.get_color())\n",
    "ax3.spines['right'].set_position((\"axes\", 1.2))\n",
    "ax3.spines['right'].set_edgecolor(F12line.get_color())\n",
    "ax3.tick_params(axis='y', colors=F12line.get_color())\n",
    "ax3.set_yticks([0, 200, 400])\n",
    "ax3.set_ylabel('[F12] /pptv')\n",
    "\n",
    "# ax3 is the last Axes object to be drawn: this is the one we set to the colour\n",
    "# of the ax plotted line\n",
    "ax3.spines['left'].set_edgecolor(O3line.get_color())\n",
    "\n",
    "handles, labels = ax.get_legend_handles_labels()\n",
    "handles2, labels2 = ax2.get_legend_handles_labels()\n",
    "handles3, labels3 = ax3.get_legend_handles_labels()\n",
    "# Remove errorbars from legend marker\n",
    "handles = [h[0] for h in handles] + handles2 + handles3\n",
    "labels = labels + labels2 + labels3\n",
    "ax.legend(handles, labels);"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}