Case Study Matplotlib and Seaborn.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set(style='white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "market_df=pd.read_csv('./global_sales_data/market_fact.csv')\n",
    "customer_df=pd.read_csv('./global_sales_data/cust_dimen.csv')\n",
    "product_df=pd.read_csv('./global_sales_data/prod_dimen.csv')\n",
    "shipping_df=pd.read_csv('./global_sales_data/shipping_dimen.csv')\n",
    "orders_df=pd.read_csv('./global_sales_data/orders_dimen.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(y=market_df['Sales'])\n",
    "plt.yscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "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>Ord_id</th>\n",
       "      <th>Prod_id</th>\n",
       "      <th>Ship_id</th>\n",
       "      <th>Cust_id</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Order_Quantity</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Shipping_Cost</th>\n",
       "      <th>Product_Base_Margin</th>\n",
       "      <th>Product_Category</th>\n",
       "      <th>Product_Sub_Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_7609</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>136.81</td>\n",
       "      <td>0.01</td>\n",
       "      <td>23</td>\n",
       "      <td>-30.51</td>\n",
       "      <td>3.60</td>\n",
       "      <td>0.56</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>SCISSORS, RULERS AND TRIMMERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ord_2978</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_4112</td>\n",
       "      <td>Cust_1088</td>\n",
       "      <td>305.05</td>\n",
       "      <td>0.04</td>\n",
       "      <td>27</td>\n",
       "      <td>23.12</td>\n",
       "      <td>3.37</td>\n",
       "      <td>0.57</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>SCISSORS, RULERS AND TRIMMERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ord_5484</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_7663</td>\n",
       "      <td>Cust_1820</td>\n",
       "      <td>322.82</td>\n",
       "      <td>0.05</td>\n",
       "      <td>35</td>\n",
       "      <td>-17.58</td>\n",
       "      <td>3.98</td>\n",
       "      <td>0.56</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>SCISSORS, RULERS AND TRIMMERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ord_3730</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_5175</td>\n",
       "      <td>Cust_1314</td>\n",
       "      <td>459.08</td>\n",
       "      <td>0.04</td>\n",
       "      <td>34</td>\n",
       "      <td>61.57</td>\n",
       "      <td>3.14</td>\n",
       "      <td>0.60</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>SCISSORS, RULERS AND TRIMMERS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ord_4143</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_5771</td>\n",
       "      <td>Cust_1417</td>\n",
       "      <td>207.21</td>\n",
       "      <td>0.06</td>\n",
       "      <td>24</td>\n",
       "      <td>-78.64</td>\n",
       "      <td>6.14</td>\n",
       "      <td>0.59</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>SCISSORS, RULERS AND TRIMMERS</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Ord_id  Prod_id   Ship_id    Cust_id   Sales  Discount  Order_Quantity  \\\n",
       "0  Ord_5446  Prod_16  SHP_7609  Cust_1818  136.81      0.01              23   \n",
       "1  Ord_2978  Prod_16  SHP_4112  Cust_1088  305.05      0.04              27   \n",
       "2  Ord_5484  Prod_16  SHP_7663  Cust_1820  322.82      0.05              35   \n",
       "3  Ord_3730  Prod_16  SHP_5175  Cust_1314  459.08      0.04              34   \n",
       "4  Ord_4143  Prod_16  SHP_5771  Cust_1417  207.21      0.06              24   \n",
       "\n",
       "   Profit  Shipping_Cost  Product_Base_Margin Product_Category  \\\n",
       "0  -30.51           3.60                 0.56  OFFICE SUPPLIES   \n",
       "1   23.12           3.37                 0.57  OFFICE SUPPLIES   \n",
       "2  -17.58           3.98                 0.56  OFFICE SUPPLIES   \n",
       "3   61.57           3.14                 0.60  OFFICE SUPPLIES   \n",
       "4  -78.64           6.14                 0.59  OFFICE SUPPLIES   \n",
       "\n",
       "            Product_Sub_Category  \n",
       "0  SCISSORS, RULERS AND TRIMMERS  \n",
       "1  SCISSORS, RULERS AND TRIMMERS  \n",
       "2  SCISSORS, RULERS AND TRIMMERS  \n",
       "3  SCISSORS, RULERS AND TRIMMERS  \n",
       "4  SCISSORS, RULERS AND TRIMMERS  "
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.merge(market_df, product_df, how='inner', on='Prod_id')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Product_Category', y='Sales', data=df)\n",
    "plt.yscale('log')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ILFelIfPdd9/VVh1ERFQHVRoyrVq1qq06iIioDqrWMRkiIqLqYMgQEZFsGDJERCQbhgwREcmGIUNERLJhyBARkWwYMkREJJsq3bSMiKrm0KFDtXIRc0RERI2t66WXXsKAAQNqbH1EJbEnQ0REsmFPhqgGDRgwoMZ7BS+//DKEEFJbpVJh+fLlNfoziOTCkCEyc19++SUCAwNN2lTzamuoE7Cu4c46GzJfffUVNm7cCJ1Oh3HjxiE0NFTpkshMfPzxx0hNTVW6jMdWkzsoubVr1w5vvvmm0mWQgupkyGRkZGD16tXYtWsX6tWrh5CQEHh4eKBDhw5Kl0ZmIDU1Fb9euQQXB8v5829mX3zDQId6NshL+1nhaqomPV+ndAnVIsdQJwCMHDkSDx8+lNr16tWzquFOy/mUVUNycjI8PT3RpEkTAMDgwYNx4MABTJ06VeHKHo1ddvlZ4m3EHepZ5jk6crzXltYT7dixI1JSUkzaltAbraleaJ0MmczMTDg5OUltZ2dnXLhwoUZ/xqFDh/DRRx/V6DoBQKfTQaernW+Aly9frrF1/fLLL7K8H5MmTZIlvB7qhUV909b/78C/2oLuTvtQLx79pMdw5swZ3Lp9C1BbzntRUspPl5Qu4dH0Ajk5OQyZihgMBpNbRRvv5EkEAD179kTTpk2VLqNajN/c27Vrp3Al1WNp9crG5n/7H8vskP4pdTJkXFxccPr0aamdlZUFZ2fnGv0Zco3fyjVcVrK7btSlS5caW78lDZdZ4oFo4/CKNY3lV8QSvyRInz8D4ObmpmwxVVRTXxDqZMj06dMH69atg1arhb29Pb799lu89957SpdVJXKFV8lTYI24w7IceXl5uH79On788Ud0795d6XIUZYlfEkp+/qztc1cnQ6Z58+aYOXMmwsLCUFRUhFGjRqFbt25Kl0X02K5fvw4AWLJkCXbu3KlwNXVTbY0iBAYG1mhvxtxHEepkyADFv8jyvr0TyUmOHVVeXp70/w8fPsTUqVPRsGHDGlu/ue+kyLLV2ZAhqiuMvZiSbUsZ17ckHKqWB0OGqAbJsaOy9p0UWTYrPKGOiIhqC0OGiIhkw5AhIiLZMGSIiEg2DBkiIpINQ8ZKhIWFmbTHjx+vTCFEZFUYMlYiODjYpD1y5EiFKiEia8KQsSLG3gx7MURUW3gxphUJDg4u06MhIpITezJERCQbhgwRkYxK3zDR2m6gyJAhIpJRnz59TNp9+/ZVqBJlMGSIiGQ0ceLEStt1HUOGiIhkw5AhIpJRXFwc1Go1AECtViMuLk7himoXQ4aISEaJiYnQ6/UAAL1ej8OHDytcUe1iyBARyahfv37QaIovSdRoNOjfv7/CFdUuhgwRkYxCQkJgY1O8q7WxsUFISIjCFdUuhgyRmXviiSdM2k5OTgpVQo/D0dERvr6+UKlUGDhwIJo2bap0SbWK08oQmbn8/HyTdl5enkKV0OMKCQnBjRs3rK4XA7AnQ2T2So/hDxgwQKFKiKqPIUNk5kJCQmBrawsAsLW1tcpvw5YuLi4Oly9ftrrTlwGGDJHZc3R0hJeXFwDA29vb6sb0LZ1Wq0VCQgKEEDh48CBycnKULqlWMWSILIAQQukS6DHFxcXBYDAAAAwGg9X1ZhgyRGZOq9UiKSkJAHD06FGr+yZs6RITE6HT6QAAOp2OF2MSkXmJi4sz2UlZ2zdhS8eLMYnIrB0+fFgaLhNC4NChQwpXRNXBizGJyKyVvvjS2dlZoUrocfBiTCIya5mZmZW2yfzxYkwiMlvNmjWrtE3mz9HREVFRUVbXiwEYMkRmLyMjw6Sdnp6uUCVE1ceQISIi2TBkiMwcZ2EmS8aQITJz2dnZJu2srCyFKiGqPoYMkZkrPaUMp5ghS8KQITJzLi4uJu0WLVooVAk9Lq1Wi/DwcKucEoghQ2TmtFptpW0yf5zqXwFr1qzBunXrpHZubi4mTpyIIUOGIDQ0VBp3fvjwIWbPno0hQ4ZgxIgR+O233wAUDxmsWLECfn5+GDp0KM6cOSOt65///Cf8/PwwePBgfPvtt7W7YUQ1rH///lCpVAAAlUpldXNfWTpO9V/L8vLyMG/ePHz22Wcmy9esWQN3d3fs378fwcHBiIyMBABs2bIF9vb22L9/P+bNm4eIiAgAwDfffIPffvsN8fHx2LBhAyIiIqDT6XDhwgV8+eWX2Lt3L7744gusXLkSf/zxR21vJlGNCQkJMZlg0RqvGrdknOq/liUkJOCpp57CX//6V5PliYmJCAwMBAAEBATg6NGjKCoqQmJiIl5++WUAQK9evaDVanH79m0cOXIEQ4cOhY2NDdq2bYsWLVrg3LlzOHr0KF566SXY2dmhWbNmeOGFF5CYmFjbm0lUYxwdHaXjMi1atLDKq8YtGaf6r2XDhw/HxIkToVarTZZnZmZK5/9rNBo4ODhAq9WaLAeKrxFIT09HZmamyUSBj1pOZKm0Wq30N3znzh2rG26xdJzqXyb79++Ht7e3yb/x48dX+fVCCNjY2EAIIY1Hl1xuMBgqXF6acZptIksUFxdnMtW/tQ23WDprn+pftlmYhwwZgiFDhlT5+c7OzsjOzoaLiwt0Oh0KCgrQpEkTNG/eHJmZmWjTpg2A4gvTnJ2d4eLiYjIbbcnlJS9Wy8rKQtu2bWtuw4hqWXnDLVOmTFG4KqoqR0dH9O3bF4cPH4aXl5fVDXeazVd8Hx8f7NmzBwAQHx8Pd3d32NrawsfHB3v37gUAnD59GnZ2dmjZsiW8vb3x1VdfQa/X4/r167h27RqeffZZeHt749tvv8X9+/eh1Wpx4sQJ9O7dW8lNI/pTrH24pS4oOepibczmfjIzZsxAeHg4/P390bBhQ0RHRwMAXnvtNSxatAj+/v6oV68eVq5cCQDw8/PDhQsXpJMCIiMjUb9+fXTr1g0vv/wyRo0aBZ1Oh+nTp6N58+aKbRfRnxUSEoKEhAQA1jncYum0Wi2SkpIAAMeOHcO4ceOsqjejEpyjQnLz5k34+voiISEBrVu3VrocIsny5cuRnJyMF198EXPnzlW6HKqGmJgYfPfdd9DpdNBoNBg0aFCdG+6sbN9pNsNlRFSx1NRUAMDVq1cVroSqi6cwE5FZS01NlU5hTk9Px++//65wRVQd1n5MjSFDZOZWrFhRaZvMm7WfwsyQITJzt2/fNmnfunVLoUrocTg6OsLX1xcqlQoDBw60qoP+gBmdXUZEVFeFhITgxo0bVteLAdiTITJ77u7uJu0XXnhBoUrocTk6OiIqKsrqejEAQ4bI7DVq1Mik3bBhQ4UqIao+hgyRmTt+/LhJOzk5WaFKiKqPIUNk5qz9FFiybAwZIjNn7afAkmVjyBCZOeMsvgCschZfsmwMGSILYM2z+JJlY8gQmbnSs/jyzphkSRgyRGYuLi5OuuOrwWDgnTHJojBkiMyctc/iS5aNIUNk5ngKM1kyhgyRmeMpzGTJGDJEZs7aZ/Ely8ZZmIksgDXP4kuWjSFDZAGMs/gSWRoOlxERkWwYMkREJBuGDBERyYbHZErQ6/UAgPT0dIUrISKyHMZ9pnEfWhJDpoSsrCwAQGhoqMKVEBFZnqysLLi6uposUwkhhEL1mJ3CwkKkpKTAyckJarVa6XKIiCyCXq9HVlYW3NzcUL9+fZPHGDJERCQbHvgnIiLZMGSIiEg2DBkiIpINQ4aIiGTDkCEiItkwZIiISDYMGSIikg2v+K+mgoICREdHIykpCfb29nBwcMC0adPQu3dvAEB4eDhOnDiBxo0bS6/p168fZs6ciU6dOqFz584m61uyZAkKCwuxfv16bNmyBQCQmpqKlStX4tatWwCAjh07Yv78+XB0dMSuXbsQFRWFFi1alFlP9+7dTZYdOHAAsbGx0Ol0EEJg2LBheOONNwAAr732GqZOnQoPDw/p+eHh4XjhhRcQFBSEAQMGoH79+rC1tYUQAhqNBnPmzIGnpyfWrVuHuLg4PPHEEwCKL2L18/PDzJkzcfLkSZNtKalTp074+eefcfPmTfj5+aF9+/Ymj7/yyisIDQ3FTz/9hGXLluGPP/6AXq9Hjx49MH/+fDRo0KDqv6g/4d1338XZs2dRVFSEGzduSHWGhYVhxYoVFb73+fn5eP/993Hq1Cmo1Wo0atQI4eHh6Nq1K27evImwsDAcOnTI5LXG9+TkyZN4/fXXsXv3bjz99NNlHgeA7OxsREVF4fz587C3t4ezszP+9re/oUuXLgCAAQMGYPPmzWjdunWZbfryyy/xySefQK/Xw8bGBn5+fpg0aZJ0W+d79+5h3bp1SEhIgEajgUqlwvjx4xEcHIybN29ixIgR2Lx5M5555hkAgBACY8aMgb+/P8aOHVtD77z8Kvrb69q1K1q0aIFp06ZJy3bt2oUffvgBUVFRZT7X9+/fR5MmTbB8+XK0b98e4eHhSEtLw9atW6FSqcq8ft26dQCAQYMGYc6cOQCAO3fuoEGDBmjcuDHq1auH//znP+X+Dkt+VkvuQ4QQyMvLg5eXFxYvXgy1Wl3uPsa4/1GMoCozGAxi7NixIjIyUjx48EAIIcSlS5dE3759xYkTJ4QQQsydO1fs3Lmz3Nd37Nix3OUnTpwQY8eOFUIIkZ6eLvr27SsSEhKkn7lx40bx6quvCiGE2Llzp5g7d+4ja01PTxf9+vUTWq1WCCFEfn6+GDFihDh48KAQQoixY8dKNRuVrL1///4iLS1NeiwhIUH07dtXCCHE2rVrxdq1a6XHCgoKhI+Pjzh69KjJtlS0/WlpaaJ///4V1u7n5yfOnj0rhBBCr9eLRYsWiWXLlj1ym2ta6Tore+/1er0ICQkRq1evFkVFRUIIIY4fPy569+4ttFpthdtsfE9OnDghunbtKoKCgoROpyvz+P3798WQIUPEJ598IgwGgxBCiKSkJOHh4SF+++03IUTZ31nJugMCAsT169eFEELk5eWJt99+W0REREjPmTBhgli4cKEoLCwUQgiRkZEhAgICxOHDh4UQQmzZssWktq1bt4qwsDCpFktR0e+h9N+0EKa/7/I+10uXLhUzZsyQHu/atavYtGlTua8vb/3lrbO832HJz2rpfUheXp7w8fERiYmJ5T5uDjhcVg0//PADbt++jYiICNSrVw8A0KVLF0yZMgUxMTE18jP+9a9/wdPTEwMGDAAAqFQqvPnmmxgzZgx0Ol2V15OTk4OioiIUFhYCAP7yl78gKioKHTp0eKy6PDw8kJWVhZycnDKPNWjQAN26dcOvv/76WOsuLTs7W6rbxsYGU6dOxZAhQ2pk3XI5efIk7ty5g+nTp0u9A09PTyxfvhwGg6FK63juuefQuHFjfPzxx2Uei4+PR7NmzfD6669L35T79u2LoKAgfPLJJ5Wud/369ViwYAHatGkDAHBwcEBkZCT27duHW7du4ezZs/j111+xcOFC2NnZAQCcnZ2xZMkSqR0aGgp7e3ts27YNGRkZiI2NxfLly6VarM3Dhw+RlZVlMmLx+uuvY+PGjbh+/Xqt1ZGTkyP1qswVh8uq4eLFi3BzcyvzwerVqxfef/99qb127Vp8/vnnUnvbtm1wcHAAAAwbNkxa7uHhgXnz5pms68qVK/D09DRZplarERAQILUPHTpksh5jV7ukzp07w9fXFwMHDsQzzzwDDw8PBAYGlpm8rqr27duHp556qtz7yxt3VOPGjatyEGZmZppsAwCsXLkSnTp1QkREBKZMmQJnZ2d4eHjA19cX/fr1e6y6a1pF7/3ly5fRuXNn2NiYfm/z8fEBUDxMU942l7Z06VIEBQXB19fXZNjs4sWLePbZZ8s8v1evXvjggw8qXJ9Wq8WtW7fQrVs3k+WNGzdGhw4dcOnSJdy6dQs9evSAra2tyXOee+456f9VKhUiIyMRGhqKpKQkTJ8+HS1btqx0W8xV6d9DYGBglV63du1abNq0CX/88Qfs7OwwcOBAvP3229Ljrq6umDx5MubNm4etW7fWeN1Gw4YNg06nw927d9G+fXssWLDAZKi89N/YrFmz4OXlJVs9j8KQqQaVSlXuVNZFRUUmwTN9+nQEBQWVu469e/c+8mcYe0kVGTBgQJVuxfvuu+/irbfeQlJSEpKSkvDKK68gOjoagwYNKvcbqBDCZO0t6RUAAAsuSURBVCc5ceJE2NraoqioCC1atMCaNWukx+Li4nDw4EEYDAao1WpMnjwZPXv2xMmTJx9ZF1D8Tbmi9yIoKAiDBg3C8ePHkZycjPDwcAQGBmL+/PlVWrecKnrvbWxspG/9FSlvmzt16mTSbtmyJWbOnInw8HBs375dWl7Vv72KVOe1mzdvxs6dO1FUVIR27dph/fr1AIp3oiEhITh58iRGjhz5yJ9prsr7Paxfvx6i1DSOQohyP9epqamYMGECvLy8pC+PRmFhYfj222+xefNmNGzYsNq1VeVzaax906ZN2LVrF3x9fU2e/6h9TG3jcFk1dO/eHSkpKSgqKjJZfv78ebi5udXIz3Bzc0NKSorJMoPBgKlTpyI7O7vK60lMTER8fDyaN2+OkSNHYvXq1ViwYAF27NgBoPibbF5enslr7t69i0aNGknt2NhY7N27F/Hx8fj000+lg74AEBISgr179+Krr77Cnj17auzg77Vr17BhwwY4ODjgpZdewuLFi/Gvf/2rTE/N3Li5ueHy5ctldlQffPABTpw4Ua11jR49usywWbdu3XD+/Pkyzz137lylf3uOjo5o06YNzp07Z7Jcq9UiLS0NXbp0wbPPPosLFy5IQRQWFoa9e/di8eLF+O9//2vyupYtW6JVq1bV2h5L0LhxY+Tm5posu3v3rslwmFG7du0wa9YszJkzp8xnyMbGBsuWLXvsYbOqfC6Nxo8fDycnJ6xcubLaP6c2MWSqwd3dHR06dMCyZcukoElJScHGjRvx1ltv1cjPGD16NI4cOYIjR44AKP4WExMTg7t370pnc1VF/fr18f777+PmzZvSeq5cuSIFhaenJ/bs2SMNb6WmpuLSpUvo0aNHjWzH43J0dMTmzZtx/PhxaVnJus2Vu7s7mjVrhvXr10s762PHjmHXrl2PdRxs6dKl2LRpk9QeOnQo7t+/j48++kgKsqSkJOzatQuvv/56pet65513sGzZMqSlpQEoPkNywYIFGDp0KFq1aoWePXuiQ4cOeO+996RjYYWFhTh27FiZ4b+6ysPDA4mJidBqtQCAvLw8xMfHS2eNlhYQEIBWrVqVeyz2qaeewuTJk/Hpp59Wuw5PT0/s3LlT+h3/8MMPuHfvXpmz4YzCw8OxY8cO/PTTT9X+WbWFw2XVtH79eqxevRoBAQFQq9Vo3LgxVq1aZXIq8J/h5OSEjz/+GCtXrkR0dDT0ej26dOmCDRs2SM8pfVwAAP76179i+PDhUtvT0xNTp07F5MmTpUD08vKSxpBHjx6NtLQ0DBs2TBrqiY6OhqOj45/ehtOnT5uM5wcGBmLJkiUmzynv+ESvXr2wYMECxMbGYtWqVViwYAFsbW3Rtm3bSo871KbK3vuYmBgsX74cAQEB0Gg0aNq0KWJjY/HEE09IYV9VLVu2xP/93/9h4cKFAIqP/Xz++edYuXIl/Pz8oFKp0LJlS3z22WcmO6CAgACTIZdz587B398farUaM2bMwMOHD6HX6+Hv74/JkycDKB6i2bBhA2JiYhAcHAygOGR8fHywatWqx3qfLE3Hjh0xadIkjB8/HkDx8GJwcLB0TK08c+bMwfjx4zFmzJgyjxmHzarrrbfeQmRkpPR7bNy4MWJiYqSTSUp7+umnMXz4cKxYsQKfffYZgLLHZFxdXbF27dpq11JTeD8ZIiKSjXX0hYmISBEMGSIikg1DhoiIZMOQISIi2TBkiIhINgwZsio3b97EM888g2HDhkn/Xn75Zeki1ccVEBBQ5dkOSsvLy0NYWFiVnvvgwQOsWbMGw4cPx7BhwxAYGIjY2NgyF4GWZ8GCBWUu9CWSG6+TIatTv359k6k3MjIyEBAQADc3tzLTpNeG//73v7h48eIjnyeEwFtvvYW2bdvi3//+N+zs7JCTk4NJkybh3r17eOeddyp9fXJyMkaPHl1TZRNVCUOGrF7z5s3h6uqK77//HkuWLMH9+/fh4OCALVu2YMOGDfj666+hVqvRtm1bLFy4EE5OTrh69SrmzZuH+/fvo127drh37x6A4p5SYGCgNI1L6fZHH32E3bt3Q6PRwNXVFVFRUYiIiEBhYSGGDRuGXbt2Qa1Wl1vnqVOnkJqaitjYWOk5TZs2Nbn30Pnz57Fq1SppluA+ffpg2bJlWL16NTIzMzFr1iysXLkS7dq1Q2RkJH755RcUFRWhd+/emDNnDjQaDY4cOYLo6GjY2NjgmWeeQXJyMr744gu0bt26wvfjtddeQ+PGjZGamoqhQ4fin//8J44cOYKGDRtCCAE/Pz/84x//UCTESWFK3F+ASClpaWmiR48eJsvOnj0revXqJdavXy969eol8vLyhBBC7NixQ4wePVoUFBQIIYrvCTJhwgQhhBDDhg0T27dvF0IIcfr0adGpUydx4sSJMusv2T548KAYNGiQ+OOPP4QQQixbtkzExMSUW1N5Pv30UzF9+vRKnzNz5kzp3iP5+fnCw8NDXLx4UQhRfK+SCxcuCCGECA8PF5s3bxZCCKHT6cSsWbNEbGys0Gq14oUXXhBXrlwRQgixa9cu0bFjR5GWllbp+zF27FiT+9NMmTJFbN26VQghRHJysnjllVceuX1UN7EnQ1bH2GsAiqcPadq0KVatWoW7d++iU6dO0sy6R48eRVBQkHRHzrCwMHz44YfIzs7Gzz//LE3j07NnT5Np+Sty/Phx+Pn5SZMuRkREAECVp5yxsbF55LGXqKgoHD16FB9++CFSU1Px4MEDqZdVUmJiIi5evCgdizLOWXb69Gm0b99e6nGMGDECS5cuBVDx+/Hw4UMAxfO3GYWGhmLVqlUIDQ3Fv//9b7z66qtV2kaqexgyZHVKH5Mx2rVrl8ktng0Gg8k8YAaDweR+OSV3+Ma5pVQqlcnykjN2q9Vqk/Xl5uaWmfm3Mt27d8fnn38OvV5vMqR24cIFbNmyBatWrcLYsWPRqVMneHl5YciQIfjxxx/LDSaDwYB//OMf0rxnubm5UKlUOHXqVJnnGyfJfNT7UfK969OnD+7fv4/jx4/j9OnTWLFiRZW3k+oWnl1GVAEvLy/s3LlT6gls2bIFvXr1whNPPIGuXbtKtx+4dOkSfvnlFwBAo0aNUFRUhKtXrwIAvv76a2l9ffr0wXfffYf8/HwAwLp167Bp0yZoNBro9fpH9lKee+45tGvXDsuXL8eDBw8AFN9FdOnSpWjdujVyc3Nx8eJFzJo1C4MGDUJ6ejpu3Lgh3ZlTrVZLofDiiy9i06ZNEELg4cOHmDJlCrZu3Yrnn38e165dk2b1/eabb6QAquj9KO/+RyqVCmPGjMH8+fMREBDwyHvtUN3FngxRBUaNGoU7d+4gODgYBoMBrq6uiI6OBlB8n5iIiAjExcWhTZs2aNeuHQCgYcOGmD17Nt588004OjrCz89PWp+Pjw+uXr0qDR0Zp9e3t7dHt27d4O/vj23btpV791GjtWvXYvXq1QgKCoJarYbBYMDw4cOl2zJPnDgRI0aMQIMGDdC8eXM8//zzuH79Onr37o2XXnoJs2fPxt///nfMnz8fkZGRCAwMRFFREfr06YM33ngDtra2+OCDDzB37lzY2NjAzc0NGo0G9vb2lb4f5RkxYgRWrFjBM9qsHGdhJiJJfn4+YmJiMG3aNNjb2+PSpUuYNGkSjh07VqU7cJb09ddfY/fu3fjkk09kqpYsAXsyRGZkzJgxKCgoKPexbdu2lbndb01zcHCAra0tRo0aBY1GA41GgzVr1lQ7YF577TVotdpyb+pF1oU9GSIikg0P/BMRkWwYMkREJBuGDBERyYYhQ0REsmHIEBGRbBgyREQkm/8HUwpYqNx4dAQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Product_Category', y='Profit', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df=df[(df.Profit<1000) & (df.Profit>-1000)]\n",
    "\n",
    "sns.boxplot(x='Product_Category',y='Profit', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "sns.boxplot(x='Product_Category', y='Sales', data=df)\n",
    "plt.title('Sales')\n",
    "plt.yscale('log')\n",
    "\n",
    "plt.subplot(1,2,2)\n",
    "sns.boxplot(x='Product_Category', y='Profit', data=df)\n",
    "plt.title('Profit')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "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>Ord_id</th>\n",
       "      <th>Prod_id</th>\n",
       "      <th>Ship_id</th>\n",
       "      <th>Cust_id</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Order_Quantity</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Shipping_Cost</th>\n",
       "      <th>Product_Base_Margin</th>\n",
       "      <th>Product_Category</th>\n",
       "      <th>Product_Sub_Category</th>\n",
       "      <th>Customer_Name</th>\n",
       "      <th>Province</th>\n",
       "      <th>Region</th>\n",
       "      <th>Customer_Segment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_7609</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>136.81</td>\n",
       "      <td>0.01</td>\n",
       "      <td>23</td>\n",
       "      <td>-30.51</td>\n",
       "      <td>3.60</td>\n",
       "      <td>0.56</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>SCISSORS, RULERS AND TRIMMERS</td>\n",
       "      <td>AARON BERGMAN</td>\n",
       "      <td>ALBERTA</td>\n",
       "      <td>WEST</td>\n",
       "      <td>CORPORATE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ord_5406</td>\n",
       "      <td>Prod_13</td>\n",
       "      <td>SHP_7549</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>42.27</td>\n",
       "      <td>0.01</td>\n",
       "      <td>13</td>\n",
       "      <td>4.56</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.54</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>PENS &amp; ART SUPPLIES</td>\n",
       "      <td>AARON BERGMAN</td>\n",
       "      <td>ALBERTA</td>\n",
       "      <td>WEST</td>\n",
       "      <td>CORPORATE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ord_5456</td>\n",
       "      <td>Prod_6</td>\n",
       "      <td>SHP_7625</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>2337.89</td>\n",
       "      <td>0.09</td>\n",
       "      <td>43</td>\n",
       "      <td>729.34</td>\n",
       "      <td>14.30</td>\n",
       "      <td>0.37</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>PAPER</td>\n",
       "      <td>AARON BERGMAN</td>\n",
       "      <td>ALBERTA</td>\n",
       "      <td>WEST</td>\n",
       "      <td>CORPORATE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_6</td>\n",
       "      <td>SHP_7608</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>164.02</td>\n",
       "      <td>0.03</td>\n",
       "      <td>23</td>\n",
       "      <td>-47.64</td>\n",
       "      <td>6.15</td>\n",
       "      <td>0.37</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>PAPER</td>\n",
       "      <td>AARON BERGMAN</td>\n",
       "      <td>ALBERTA</td>\n",
       "      <td>WEST</td>\n",
       "      <td>CORPORATE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ord_2978</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_4112</td>\n",
       "      <td>Cust_1088</td>\n",
       "      <td>305.05</td>\n",
       "      <td>0.04</td>\n",
       "      <td>27</td>\n",
       "      <td>23.12</td>\n",
       "      <td>3.37</td>\n",
       "      <td>0.57</td>\n",
       "      <td>OFFICE SUPPLIES</td>\n",
       "      <td>SCISSORS, RULERS AND TRIMMERS</td>\n",
       "      <td>AARON HAWKINS</td>\n",
       "      <td>ONTARIO</td>\n",
       "      <td>ONTARIO</td>\n",
       "      <td>HOME OFFICE</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Ord_id  Prod_id   Ship_id    Cust_id    Sales  Discount  Order_Quantity  \\\n",
       "0  Ord_5446  Prod_16  SHP_7609  Cust_1818   136.81      0.01              23   \n",
       "1  Ord_5406  Prod_13  SHP_7549  Cust_1818    42.27      0.01              13   \n",
       "2  Ord_5456   Prod_6  SHP_7625  Cust_1818  2337.89      0.09              43   \n",
       "3  Ord_5446   Prod_6  SHP_7608  Cust_1818   164.02      0.03              23   \n",
       "4  Ord_2978  Prod_16  SHP_4112  Cust_1088   305.05      0.04              27   \n",
       "\n",
       "   Profit  Shipping_Cost  Product_Base_Margin Product_Category  \\\n",
       "0  -30.51           3.60                 0.56  OFFICE SUPPLIES   \n",
       "1    4.56           0.93                 0.54  OFFICE SUPPLIES   \n",
       "2  729.34          14.30                 0.37  OFFICE SUPPLIES   \n",
       "3  -47.64           6.15                 0.37  OFFICE SUPPLIES   \n",
       "4   23.12           3.37                 0.57  OFFICE SUPPLIES   \n",
       "\n",
       "            Product_Sub_Category  Customer_Name Province   Region  \\\n",
       "0  SCISSORS, RULERS AND TRIMMERS  AARON BERGMAN  ALBERTA     WEST   \n",
       "1            PENS & ART SUPPLIES  AARON BERGMAN  ALBERTA     WEST   \n",
       "2                          PAPER  AARON BERGMAN  ALBERTA     WEST   \n",
       "3                          PAPER  AARON BERGMAN  ALBERTA     WEST   \n",
       "4  SCISSORS, RULERS AND TRIMMERS  AARON HAWKINS  ONTARIO  ONTARIO   \n",
       "\n",
       "  Customer_Segment  \n",
       "0        CORPORATE  \n",
       "1        CORPORATE  \n",
       "2        CORPORATE  \n",
       "3        CORPORATE  \n",
       "4      HOME OFFICE  "
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.merge(df, customer_df, how='inner', on='Cust_id')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='Customer_Segment', y='Profit', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 480x320 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(num=None, figsize=(6,4), dpi=80, facecolor='w', edgecolor='k')\n",
    "sns.boxplot(x='Customer_Segment', y='Profit', hue='Product_Category', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=df['Product_Category'], y=100*df['Shipping_Cost']/df['Sales'])\n",
    "plt.ylabel('100*Shipping_Cost/Sales')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x='Product_Category', y='Sales', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6,5))\n",
    "\n",
    "plt.subplot(1,2,1)\n",
    "sns.barplot(x='Product_Category', y='Sales', data=df)\n",
    "plt.title('Average_Sales')\n",
    "\n",
    "plt.subplot(1,2,2)\n",
    "sns.barplot(x='Product_Category', y=\"Sales\", data=df, estimator=np.median)\n",
    "plt.title('Median')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 480x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(num=None, figsize=(6,5), dpi=80, facecolor='w', edgecolor='k')\n",
    "\n",
    "sns.barplot(x='Customer_Segment', y='Profit', hue='Product_Category', data=df, estimator=np.median)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "\n",
    "sns.barplot(x='Profit', y='Product_Sub_Category', hue='Product_Category', data=df, estimator=np.median)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.countplot(y='Product_Sub_Category', data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ord_id</th>\n",
       "      <th>Prod_id</th>\n",
       "      <th>Ship_id</th>\n",
       "      <th>Cust_id</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Order_Quantity</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Shipping_Cost</th>\n",
       "      <th>Product_Base_Margin</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_7609</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>136.81</td>\n",
       "      <td>0.01</td>\n",
       "      <td>23</td>\n",
       "      <td>-30.51</td>\n",
       "      <td>3.60</td>\n",
       "      <td>0.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ord_5406</td>\n",
       "      <td>Prod_13</td>\n",
       "      <td>SHP_7549</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>42.27</td>\n",
       "      <td>0.01</td>\n",
       "      <td>13</td>\n",
       "      <td>4.56</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_4</td>\n",
       "      <td>SHP_7610</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>4701.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>26</td>\n",
       "      <td>1148.90</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ord_5456</td>\n",
       "      <td>Prod_6</td>\n",
       "      <td>SHP_7625</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>2337.89</td>\n",
       "      <td>0.09</td>\n",
       "      <td>43</td>\n",
       "      <td>729.34</td>\n",
       "      <td>14.30</td>\n",
       "      <td>0.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ord_5485</td>\n",
       "      <td>Prod_17</td>\n",
       "      <td>SHP_7664</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>4233.15</td>\n",
       "      <td>0.08</td>\n",
       "      <td>35</td>\n",
       "      <td>1219.87</td>\n",
       "      <td>26.30</td>\n",
       "      <td>0.38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Ord_id  Prod_id   Ship_id    Cust_id    Sales  Discount  Order_Quantity  \\\n",
       "0  Ord_5446  Prod_16  SHP_7609  Cust_1818   136.81      0.01              23   \n",
       "1  Ord_5406  Prod_13  SHP_7549  Cust_1818    42.27      0.01              13   \n",
       "2  Ord_5446   Prod_4  SHP_7610  Cust_1818  4701.69      0.00              26   \n",
       "3  Ord_5456   Prod_6  SHP_7625  Cust_1818  2337.89      0.09              43   \n",
       "4  Ord_5485  Prod_17  SHP_7664  Cust_1818  4233.15      0.08              35   \n",
       "\n",
       "    Profit  Shipping_Cost  Product_Base_Margin  \n",
       "0   -30.51           3.60                 0.56  \n",
       "1     4.56           0.93                 0.54  \n",
       "2  1148.90           2.50                 0.59  \n",
       "3   729.34          14.30                 0.37  \n",
       "4  1219.87          26.30                 0.38  "
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "market_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ord_id</th>\n",
       "      <th>Prod_id</th>\n",
       "      <th>Ship_id</th>\n",
       "      <th>Cust_id</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Order_Quantity</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Shipping_Cost</th>\n",
       "      <th>Product_Base_Margin</th>\n",
       "      <th>Order_ID</th>\n",
       "      <th>Order_Date</th>\n",
       "      <th>Order_Priority</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_7609</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>136.81</td>\n",
       "      <td>0.01</td>\n",
       "      <td>23</td>\n",
       "      <td>-30.51</td>\n",
       "      <td>3.60</td>\n",
       "      <td>0.56</td>\n",
       "      <td>36262</td>\n",
       "      <td>27-07-2010</td>\n",
       "      <td>NOT SPECIFIED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_4</td>\n",
       "      <td>SHP_7610</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>4701.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>26</td>\n",
       "      <td>1148.90</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.59</td>\n",
       "      <td>36262</td>\n",
       "      <td>27-07-2010</td>\n",
       "      <td>NOT SPECIFIED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_6</td>\n",
       "      <td>SHP_7608</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>164.02</td>\n",
       "      <td>0.03</td>\n",
       "      <td>23</td>\n",
       "      <td>-47.64</td>\n",
       "      <td>6.15</td>\n",
       "      <td>0.37</td>\n",
       "      <td>36262</td>\n",
       "      <td>27-07-2010</td>\n",
       "      <td>NOT SPECIFIED</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ord_5406</td>\n",
       "      <td>Prod_13</td>\n",
       "      <td>SHP_7549</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>42.27</td>\n",
       "      <td>0.01</td>\n",
       "      <td>13</td>\n",
       "      <td>4.56</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.54</td>\n",
       "      <td>20513</td>\n",
       "      <td>07-07-2009</td>\n",
       "      <td>HIGH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ord_5456</td>\n",
       "      <td>Prod_6</td>\n",
       "      <td>SHP_7625</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>2337.89</td>\n",
       "      <td>0.09</td>\n",
       "      <td>43</td>\n",
       "      <td>729.34</td>\n",
       "      <td>14.30</td>\n",
       "      <td>0.37</td>\n",
       "      <td>39682</td>\n",
       "      <td>09-11-2010</td>\n",
       "      <td>MEDIUM</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Ord_id  Prod_id   Ship_id    Cust_id    Sales  Discount  Order_Quantity  \\\n",
       "0  Ord_5446  Prod_16  SHP_7609  Cust_1818   136.81      0.01              23   \n",
       "1  Ord_5446   Prod_4  SHP_7610  Cust_1818  4701.69      0.00              26   \n",
       "2  Ord_5446   Prod_6  SHP_7608  Cust_1818   164.02      0.03              23   \n",
       "3  Ord_5406  Prod_13  SHP_7549  Cust_1818    42.27      0.01              13   \n",
       "4  Ord_5456   Prod_6  SHP_7625  Cust_1818  2337.89      0.09              43   \n",
       "\n",
       "    Profit  Shipping_Cost  Product_Base_Margin  Order_ID  Order_Date  \\\n",
       "0   -30.51           3.60                 0.56     36262  27-07-2010   \n",
       "1  1148.90           2.50                 0.59     36262  27-07-2010   \n",
       "2   -47.64           6.15                 0.37     36262  27-07-2010   \n",
       "3     4.56           0.93                 0.54     20513  07-07-2009   \n",
       "4   729.34          14.30                 0.37     39682  09-11-2010   \n",
       "\n",
       "  Order_Priority  \n",
       "0  NOT SPECIFIED  \n",
       "1  NOT SPECIFIED  \n",
       "2  NOT SPECIFIED  \n",
       "3           HIGH  \n",
       "4         MEDIUM  "
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.merge(market_df,orders_df, how='inner', on='Ord_id')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 8399 entries, 0 to 8398\n",
      "Data columns (total 13 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Ord_id               8399 non-null   object \n",
      " 1   Prod_id              8399 non-null   object \n",
      " 2   Ship_id              8399 non-null   object \n",
      " 3   Cust_id              8399 non-null   object \n",
      " 4   Sales                8399 non-null   float64\n",
      " 5   Discount             8399 non-null   float64\n",
      " 6   Order_Quantity       8399 non-null   int64  \n",
      " 7   Profit               8399 non-null   float64\n",
      " 8   Shipping_Cost        8399 non-null   float64\n",
      " 9   Product_Base_Margin  8336 non-null   float64\n",
      " 10  Order_ID             8399 non-null   int64  \n",
      " 11  Order_Date           8399 non-null   object \n",
      " 12  Order_Priority       8399 non-null   object \n",
      "dtypes: float64(5), int64(2), object(6)\n",
      "memory usage: 918.6+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 8399 entries, 0 to 8398\n",
      "Data columns (total 13 columns):\n",
      " #   Column               Non-Null Count  Dtype         \n",
      "---  ------               --------------  -----         \n",
      " 0   Ord_id               8399 non-null   object        \n",
      " 1   Prod_id              8399 non-null   object        \n",
      " 2   Ship_id              8399 non-null   object        \n",
      " 3   Cust_id              8399 non-null   object        \n",
      " 4   Sales                8399 non-null   float64       \n",
      " 5   Discount             8399 non-null   float64       \n",
      " 6   Order_Quantity       8399 non-null   int64         \n",
      " 7   Profit               8399 non-null   float64       \n",
      " 8   Shipping_Cost        8399 non-null   float64       \n",
      " 9   Product_Base_Margin  8336 non-null   float64       \n",
      " 10  Order_ID             8399 non-null   int64         \n",
      " 11  Order_Date           8399 non-null   datetime64[ns]\n",
      " 12  Order_Priority       8399 non-null   object        \n",
      "dtypes: datetime64[ns](1), float64(5), int64(2), object(5)\n",
      "memory usage: 918.6+ KB\n"
     ]
    }
   ],
   "source": [
    "df['Order_Date']=pd.to_datetime(df['Order_Date'])\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Order_Date\n",
      "2009-01-01    1052.8400\n",
      "2009-01-02    5031.9000\n",
      "2009-01-03    7288.1375\n",
      "2009-01-04    6188.4245\n",
      "2009-01-05    2583.3300\n",
      "Name: Sales, dtype: float64\n",
      "<class 'pandas.core.series.Series'>\n"
     ]
    }
   ],
   "source": [
    "time_df=df.groupby('Order_Date')['Sales'].sum()\n",
    "print(time_df.head())\n",
    "\n",
    "print(type(time_df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Loxj95024dKUx2EUh2hE+CfstW7YgLS0Nw4YNw1//+lcAQH5+PlJTUzF06FAsWrTIde7hw4eRlpaGxMRETJs2DTabDQBQWlqK9PR0JCUlYezYsaivrwcA1NTUYMyYMRg2bBjS09NRUVHhS1ENBwl5giC0UHD4IgCguqY5yCUh2hOahf25c+cwc+ZMZGZmYt26dTh06BC2bt2KqVOnIjMzEzk5OSgqKsLWrVsBABMnTsSMGTOwadMmMMawevVqAMCsWbMwatQo5ObmYtCgQcjMzAQALF68GHFxcdi4cSNGjhyJ2bNn63C7BEEQ7RtSFAgtaBb2X331FYYPH47u3bvDYrFg0aJF6NSpE/r06YPevXvDbDYjNTUVubm5KCkpQVNTEwYPHgwASEtLQ25uLqxWKwoKCpCYmOh2HADy8vKQmpoKAEhJScG2bdtgtVp9vV/DQEvvCILwCVOwC0C0J8xaExYXF8NiseCVV17BhQsX8MADD+DWW29FTEyM65zY2FiUlZWhvLzc7XhMTAzKyspQXV2NyMhImM1mt+MA3NKYzWZERkaiqqoK3bp101pkgiAIgrgq0Szs7XY79uzZgxUrVqBz584YO3YsOnbsCJOpbbjJGIPJZILD4RA9zv3nI/zOTxMWFjr+hKTXEwShCeo8CA1olp433HADhgwZgujoaHTs2BGPPPII8vPz3RzpKioqEBsbi+7du7sdr6ysRGxsLKKjo1FbWwu73e52PuC0ClRWVgIAbDYb6uvrERUVpbW4hkVibEMQBEEQuqFZ2D/44IPYsWMHampqYLfbsX37diQlJeH06dMoLi6G3W7Hhg0bEB8fj549eyIiIgKFhYUAgOzsbMTHx8NisSAuLg45OTkAgKysLMTHxwMAEhISkJWVBQDIyclBXFwcLBaLr/drOGjqniAIgvA3ms34d955J1566SWMGjUKVqsV9913H5599lncfPPNGDduHJqbm5GQkICkpCQAQEZGBqZPn466ujoMHDgQo0ePBgDMnDkTkydPxtKlS9GjRw8sXLgQADB+/HhMnjwZycnJ6Nq1KzIyMnS4XQNBQp4gCIIIEJqFPQA89dRTeOqpp9yODRkyBOvWrfM4d8CAAfj00089jvfs2RMrVqzwOB4VFYVly5b5UjyCIIiQhWYACTWEjsdbO4ORak8QBEEECBL2BEEQBBHikLAniKuY5euKsOjj74NdDEIFnFVQapkyQYhBwj5IkBc+YQSytp7Elj3ngl0MgiD8DAl7g3HsbDWOna0OdjEIgiCIEMInb3xCfyb8bRsAYP2CEUEuCUEQRoSsgoQWSLMnCBVYbQ4sWbMP1TVNwS4KcZVDU/aEGkjYt0O27T2PhR8Vqk5XVdOE0oo6P5So/bH3aDm+2Hladbpviy5g07fF+FfWAT+UiiAIwj+QsA8SvmxxO//DQnxTeF51uudnbcLLczdrvm6wuHSlETa7Q9c8Z/xrF5Z9tl9z+vZmSj1dekX3Z0gQRPuBhD1haBqarHjhrS99Esx60h5Npxcv1eO1BXlYvq4o2EUhCCJIkLDXiMPBkLX1BBqarJrStzPFMGg0tTh3RPzu4MUgl8Sd9hQB8XJdMwDQKg+CuIohYa+RgkMXsXzdQfxn/cFgF4UIIKbWiOTtzYwPtJWdIIirDxL2GuE0zoYmm7YM2qGwCCaGeVztUV4a5uERhCctVnuwi3BVQMJeI1z/2R77fl9ZmXsEY+Z8HZBrhfLzra5pQm1DS+AuGMoPk2iXHC2uwpOTN2DP4bJgFyXkIWGvFc6O63MH2v7Urk++OooLlfXBLkZQCGt9376spuAYPWsTRv1po8/5EER75fAZpx/J3mPlQS5J6EPCXiNtmr02ad8e53wJAO1wzr49lVUN3x8px84fSoNdjICjx0CTuPogYa8Rl2JPplGindAeq+oPxyqwZc9Z0d9m/nsX5n5QEOASGQfa9Y5QA8XG9xWN7a09Ld0yBAZ5XCaXGT+45VBDe65r0/+ZDwB4KO5HQS4JQbRvSLPXTOue0j7nQ6NzWTjh2o4FViBInZCNv/5nNwCnd/Nn3xyHXRAxjzRBgrh6IWGvEUdrP+p7B0pCTA6jrQ3nSmPEwcfu1sBDa7ccx/sbDuHL78TN30T7hqt5NHdPqIGEvWZ8a2jUTpVhNKHaHrTjhmZn7IfG1hgQVNcI4xLcynmlrhlFJyuDWoZAQcJeI+SgFyAMKqiMLEDDTNyKAQMXkiDAX8EcnI506tKdmJK5MyjXDjQk7DXi69I7QhlGE1ftYXDHldHhJ2F/quQKxi/I07wvhL8pqajD7+ZtxpXWPQFCDe616vl6iy/WIHVCNs6X1+qXqQqC1a7OXnTer8NhtJ5Gf0jYa4Q0+8BgNO3U1A605rAw8VgAetXV/31xCKdKr+DQ6Sp9MtSZtVuO41xZHb4tMtbmSXqjZx3c+r1zy+yd+z3jFmR++gNSJ2Trdi0j4q+BsZEgYa+Z0K8cRsJobdFgxXHD3wMSbjBh1A6ybbBjzPK1NzbuOhPsIvgd0uwV8s4772Dy5MkAgPz8fKSmpmLo0KFYtGiR65zDhw8jLS0NiYmJmDZtGmw2p/NQaWkp0tPTkZSUhLFjx6K+3hmGtaamBmPGjMGwYcOQnp6OiooKPYqqG22avdYIeqFfufTAsI/JqOUC34zv/K93XeN8AozaQbYH64sehPbdBRajDlz1xGdhv2vXLnz++ecAgKamJkydOhWZmZnIyclBUVERtm7dCgCYOHEiZsyYgU2bNoExhtWrVwMAZs2ahVGjRiE3NxeDBg1CZmYmAGDx4sWIi4vDxo0bMXLkSMyePdvXouqKa86ezPh+xWhtsD28bykHPb1WEoS19hrGFfbO/wYtnn6E+v0FEKPWZT3xSdhfvnwZixYtwiuvvAIA2L9/P/r06YPevXvDbDYjNTUVubm5KCkpQVNTEwYPHgwASEtLQ25uLqxWKwoKCpCYmOh2HADy8vKQmpoKAEhJScG2bdtgtRrIIai1I9Ws2etZlhDGaEvvOIysNXJ1ktNW9C6p4c34Omv2VpsdNfUB3J1QIUZtG+2Rq0DW+ybsZ8yYgTfeeAPXXHMNAKC8vBwxMTGu32NjY1FWVuZxPCYmBmVlZaiurkZkZCTMZrPbcWFeZrMZkZGRqKoyjkNQoOtGRXUjTpdecS+DQTtbXTHYLXKrLwxWLDe4nfn8pa0Y34zv/K/XYOTP//4W6TNod0Kj4I9+z6h1WU80C/s1a9agR48eGDJkiOuYw+Fw03QZYzCZTJLHuf98pDRlxhjCwoLnT2h3MBw50zbY8HmHWy91S1ihX/zrl3htQZ7gHK0X96TZakdTazAWI2G4JtgWQs+wtM1Z+yd/l7A36DMI0/n+958wWtCVVouNhvtrbLZhxw8lupamqcWGf2UdQKMB+w9vmPw8MDYSmjfCycnJQUVFBUaMGIErV66goaEBJSUlCA8Pd51TUVGB2NhYdO/e3c3BrrKyErGxsYiOjkZtbS3sdjvCw8Nd5wNOq0BlZSW6d+8Om82G+vp6REVF+XCrvvHJl0fxyVdHMf+1X2BAn2gd97MXx+FgCA+Xz1zP6vn8n3NR32TD+gUjdMzVd7hBj1GMGHLhcnPyT+Ou27rjhqhOgS2UAA9vdJ2fncuMb9AOsr046NnsDjwxaT1eSL4NTz50a0Cuueyz/diy5xy6v9EFt/TSpz/dsOM01m8/hS4dLUhPGqBLnnLo+VpNcDYPo05J6YlmVfn999/Hhg0bkJ2djddeew0PPfQQ3nvvPZw+fRrFxcWw2+3YsGED4uPj0bNnT0RERKCwsBAAkJ2djfj4eFgsFsTFxSEnJwcAkJWVhfj4eABAQkICsrKyADgHFnFxcbBYLL7er2bOXHCa0KuuNAHgB9XxD4oqn44VtL6p/Y3Kg4GUi8bl2mYsXbsfM/+9K7AFEiFMwkFNL+dC4wt753+HQ/68YNPcYgcArN58LGDXrLzcCACobxD3f9ISJMze+qDtAXrgutY6g09J6YmudvGIiAjMnTsX48aNw/Dhw3HzzTcjKSkJAJCRkYE5c+YgKSkJDQ0NGD16NABg5syZWL16NYYPH449e/bg9ddfBwCMHz8e+/btQ3JyMj766CPMmDFDz6L6jM9L77xUWUWyXtOV2xdGHXALy8UNzmoN4Mgl1GyVOnJZbXbYFXR6YQIHQKMhdFA0OvxiMsbwn/UHcfL8Za/na7FccAM14Xv2KUiYD4852K+Iu92rQdjrsp99Wloa0tLSAABDhgzBunXrPM4ZMGAAPv30U4/jPXv2xIoVKzyOR0VFYdmyZXoUTxeEQp3rQP2l2SupesFuKIHAaB7H3jQfI5RWSth5K3vaHzfg7oHdMf3Fu2XPM7pmz1k2jG7GFxOszS12fJ53Ajn5p/HpnBTZ9FruLtwl7PXXwgO2SZSO79XfoaWNBEXQ04qPdnxvdUtZR6V/BU2dkI3y6gbd8/UdYzRGqcGHqe2EoNMm7Nz/CxGrY9w2ubL5B2Dp3a4DpThVcsX7iSJIhQsmgPBWJ2clFhwhRh88acPYA1c9IWGvEa5qhPlpNKtlyr6kog5NLb7PvR88dUnxuefLa5E6IRvnytRtoFFSUaes8zBYG5QUoAYKtuMy43vpwLh46Grx99I+AHj7vwUYvzDP7djK3CP4/fwtsumqa5uwZvNxAOLCyWZ3aBJ0hkTDbXBOv3a7FmGv/nr+QM9icN13yNQJGUjYq4SrEsxHzd6VnwqtS6osgLOyvjJ3M975YI9vBRK5ttVmR1mVuLa/fa9zGc/WvcoFx9HiKrwydzPW7zjlvSyuMinO3q+4ymO0UQiPMIWmyTMXarTlHyQz/idfHUXxRflB5Vne72LFe2LSevxl+bd6F00TYq9HzfSdljbhixlfqk8ybkvwjmvO3igdjB8hYa8W5vHBx3x8yIJXQbmOd+/Rch3ydf++YOX3eGn2V7DaRDoIDZaN0krn/gfHiqWdkNrK0laYnftLceCkMdY8Sw7SDND1mYRmbH8tvTNgBxlhaVv6KyWcCo/43kb0gIl94iJzKkqv/vn7Ysb3liRQxi1dq52fvPFX5h4x3E6BJOw10rbMPnhmfH5b17PjFWZVcNgZ1TBQS2ukyjL3fwWYmrkz4GVww3jyzQOhgx73X7eldwZertSBJ+zl2sT+ExWi27kGFJHy+fuRtpnx9dPsA48fHPR0fvCffHVU1/z0gIS9Rnzdz97bqPyPS7Yj48NCL3m0oWdlVdqo3c7TcHkjbCqjdt6ae2+SJk0D9IceDnoi59TUt6Cidc21WsIllm8ZATMvEJXcu5i2NB9z/1cQgBJJIzZFpUag+mbG9574s29OuFsPA1C5HQ6GBSsLcexstd+vBZAZnxDBUzD5t3IUX6zF1r3nPRzf+I1PzIyvhLMX5edqpXIStgfGtAlsNe3K39rEx18eUXW+ZHEM1Fd4rLMXKfQLb23Ctr3awqYaeekdv0TG0UTFESse90z9NRAOD1duxn9/w0EU8Zx1pf2LdCkaAKeDZd735zH7/d2S5+gaQe8qCpdLwl4jaoLqXKlrxvlydd7qHOMyvnH7LlUn1YxMX53/Dfa0mubF8NwaVfy49ubhmgNReqaRZCkA6aA6RkDooCdWNFH/C8X5G3czIP69Gr0Dd83Pm/jH/HtNc2vlaGq2uS1t5Mry9Xdn3c638eqJ18GTDgMUbhAitsqJMYaGJr13PuUGrjpna0BI2KukpKIOiz7+HrbW2qGkfr86fwvGvuO+ZEhpoxaOwKU6MLUawVkZr2Z+2XbuL3UJBo9r860MvHJcaHXA84aiohqsv/bW4RlB5nMDUH+b2Y1wr0LcLV/uv126om3aQixvPRDzqlcTX0NTBL3WaY73NxzC+IV5qK5pcvu9VKbt+qc6ifdvnPWIz/rtp/D0tBxU+vge+QQiqE5DkxWz3vvWFao4WJCwV8mKjYexZc85nDzvHBUrEa5X6vQLocp3kvOXFsPldPDUJcz9X4Erbw9ZD97GMK2Fydp6AmPmfO2xHa9bOjVmfOWnuliyZh8+3qTOPK8UpVMcwYQrC6eV6e2gZ6SYAkLc2oTgpbzw1pe65a0HYn47ai6hpThCjbmuUV5T9jYt0tBkxZW65vi+kScAACAASURBVNbfnUG5Vn99DHsOl+GAit0ChU6lYsI+99tiZ5kl4vprIRDhcrfuLcGew2VBd9ojYa8Qodd9mwlOa2x8bfArpZuDnq7e+M68auqbRY+3ffdMe7TVsaakos7rdZQ8Oy3ay6Zvi/HRl8oalursXdqY1LMwgtR3lsFlqvdXkYw0wmlFTrMXIyf/tKtNMcaw6uujuFzbLHqu7j4AIg6Uel2jockqGoFQKOxtKrzyxQTiuIxv8MXO0wDaPPw//vIoZr33LaYu9b5yhn+7xRdrsGztftFyAnANKvgrLnzGzytLrDYHvi264Je81ULCXiO+euNrxeHeM7g+qjfZSp/PZSucx/JsEJ55dDA7G2KLVboTMaCMUI3nkzDOTbk0e7sDVpvDJfT1WibK5WOcO25DreBcunY/trUGhDpyphofbjyCxZ987zVvPRDLT9XcsUyBZr33LcYvzPNos8L+So3vhtjjLK/WZppubLbh8OmqtnIBeGv5buw95twKXUyzr2ndZIr/XlMnZONybTPm/q8AdQ3qLajcVex+6pRWf30M3xskrgMJ+2ChsW5JavZ6jkwF67Nd1xDTZgVt0mJ2Vimrza5nUQTHGJas2YcT57wH5fGav+ryiKhjMNYAhiuK1ebAL6duwNwP9F1ixhcYDU1WfJBzyCeHPz3RslSM296Z88NpahGvu7or9iIZth2THpi1VUHpAh1qFaTCM4TWNDWavZ6WjYwPCzFpyXaXAAfaHEsBcWHPIezr1n5zHDv3l2L9du8ROYX42yBnpH1GSNgrxSDzlG7CXmR+0mZnmgJm8OE727kdF5mzF8JFMGu2ygl75S2rTbi2pblc14xN3xbjz+/psHe8ykbOXP+Fz4YzBfteJLVITSlYbQ7YFMZA19KRMwas3HQEazYfx5Y951Sn9wfuzm66565vbiLZ6e4oJrGyhsObsL/EcyrzVjY1RT9Z4hyot/CUAr7pXm7PEX+0MX9Z5vy1d4oWSNhrRM3SO6Uo2UyG3+Ck1tmv/vqY13zkGoww8prYNYTX5+Dm05SY8fmPrsVqx/wP93h4rIoV019RC5VgJA2ew7NMrXP2wo5c5rGpuS9+NpwToE0nS46v+DMIjJ/lsOprnC+vQ7GXmBn8JvtBziHXJkEc3gaD767ep7hsah6PWF58bV5Ws/dDI/RXuzaQrCdhrxUt+9nP/V8Bqmub3NLzWfvNcY9jQrwtvQOAkgplS9+kaJuzlzfjA7z529afOGFvldXs3dMCwO6ii9i2twTL1xUJCqO01IFCXIOXsO77TIvVjnwvYV09/Ae4OXs187Eqy+VMw1yai7/mPNUi4dLiJZFC64fq0njLz7Muia29lyrH0rX78fv538hfg5f5Z9+c8PhdlYOeV81elbgH0KYsfZZ3AufL25x65YS953VVXFYisZoBRFOzDYdOK9sZVE9l0FdI2GtEbmqtpr4FRSIbtuzcX4qPvzyK9dtPia5z589fSSFtxvea1A2509ss516EPfPslMxm5wEPrVLhtT3PZarTqEGt+U5KqPvLDLh8XRHm/K9AvnMRmvFb/wvn0eW6HeG7Xpl7BK/M/Vr8ZFeUJQPuHS8iOHXL2k/e+Hz01lodjIExhm17z4s68frqoKfmd7FzpepkuIyQFD6jH45XKL+wBH9ZLh2xr66hxW3XzwUfFeKPS3Z4rNrYsucc3st2V1YMJOtJ2CtF6p2JmZRn/isfUzJ3SnrI/yvrAP6z/qDH8YJD0lHtONzM+LzeQt+lI868hPJayZy9Gtwih6nILWvrCdHyaEFtHlKn8/MpOlnpxWdBOZy3s7f10GKFkRtwSSQBAFTVNOGTr45KWoj4782kw9KlXQcu4MONhzWn58NvH2rLJIwZ4YH/Zb1ooB2frsGA/ccrMV9inw1V1h9vmr0aXxzug0THKqfZM0GRtW7V7FYOGV6dvwUvzf7K9f1k65LGFkEbX/Tx98jedtLtGM3ZhwCu4A8i75Jb3+qP2NxuHRiTOK4AubJxy3/UzNnrtYGH0OwlZmVYK2KODDgeTnHO7/WNVkzJ3OlaLxyQokh8VzeP3pbL87M2KU6hR5z8t//7HVZ58TORC9LkViYm/lkPdDfjixRQfz8DhjqZELNq2q3XsulY9EDP2fMpqahD6oRsnDjvdCKsqpGIu6AgLwPJehL2mnGZ8d3f5vFz1S6TulgHqMRUL8c3hW27tPFz5zcA3ytY6zyWlzl7MROgv5znpJTU0so6n1YfqO42uHcrMWfPccaL45Ra5E3w4t89zPg6eTjzcxHG4fcXry3IU51GaZmUltxmd+C1Bd+g8Ih3C5yQnT+Uelh7RIvHmbd1akbexmALPvoeuw4oC/ri7XGqihTKBP8FyHvj+7eufXfwIgDPHTE5/wY1UfdIs2+HeGqc4o40by7e5vos1tns/MHd2UptteWHXNS66503pBz0hLfz3Mxcz7SK7sjzHEnLKedAIxJtpKa+BS/P2Yz/bPCcEvEXwQqe482AKoZQ2MttG6pFWDPGfNLsG5ttHqZQX5FaraIEb85UVTVNOF1ag7/zPNSVcOj0Jcz9oMDD+dRVl1rLWXDoIsr0Xpet4BksWaPsfry94617vW8X7XAwVNc0efXFCZORTJK3pEGwqqki//z8gNt3Jc6NJhWOhv7GHOwCtFdcir3MOUo6QL0GqXpuesLl5BlEx/+CTvg8XWWRuT81Mbg9UHlPrtMFyTydF6UF8LcHLuD+wTequq6iMgkOCIW97Ly/isfAP5XTXLRUv19O/QI9ru+iPqEcfjTja823vvW5l1cJBLkgn7dknMS0ouS9KJWRStu/XH6ffHUUH/NCWTOJAsppxP62Ikll/93Bi3j1qTtd3xUJe70KpQOk2fsIv15M+vt2t9+UNLQWqx0jJq5DrYZQj+7e+LwvSraOlSmb1D7oYgMKKW1ozebjrm19pbbTlUpb12hF6oRs7DpQKmk2dy+v9G/e0GrG15rRqq+OYt6He7C71VSoB8JLf9uat5oBoNSZ+09UeNRP/vPWqtlzVoYLlzydAH0ZVLo56Blk0p6r51K+FaJpdCqHngN0pVnJnSdcRir1jpqtdklhqq/S0ZbXwVPKltNxoxlFwp7M+CGAuwUOAHD4TJX7KQorpcPBcPK8b6Ff9TTju4LqKAii0/ab57EdrVMWs9771uu53KFt+0pQ2Do4WLvlhKIOJhAWB9e1XOZHwbNRmL6qdUtRblMPMS5dafT05lcwOOPYd0x6KZJUPZF6hmu3nIDDwdynAFyDQf7SO+XvYNeBC5jwt22Sv3urylabXXogo0GzV1999Klv/pqG4+NgTDftUo/BkyK/BTjD/f7lP+KWDn9tUDf5HztUnW+zeS+IgWQ9CXuleJqXRaS9gHdX7UXqhGxF+WupwNylSyvqdI6N7/wn7FDFblWuLm/fVyJ7GamGwHnBOhhTNEfuy52r7b8uXmoQTadU2JnDnU1OLnLZC299ib9KdHSA01fhIl8jVnEPdomdVqSKH966/zlf6+FO3flDqcvcuurrY/hI4bbCFyq97Ijo5Vmm/XED5vz3O/Gk/OWofhoEKs12297z+CDnEC+hdD5Ky1paWedhDZHbh4Ix/Zzk9XiczYJ9B+SylNxAJnBje1mUaPYh46C3ZMkSJCcnIzk5GfPmzQMA5OfnIzU1FUOHDsWiRYtc5x4+fBhpaWlITEzEtGnTYLM5N58oLS1Feno6kpKSMHbsWNTXOytyTU0NxowZg2HDhiE9PR0VFb4HTtAT15IwmXO+LVJhqtUi7MFQcOgiXp67WVKwVtU0IXVCtmiQH7VFUTSg4J1y9mItigVrYBlT7uJWXt2AT7d4jyroSyckDM8rR17hOazwcT04Jzy9rSCQ085fnvM1fvt2W8AbNbcvFURFKg+us+KHWeWe94VL9W5LpD5WuK2wN5RUM6lpELeVqRorhl7L7Od/WIg1m497bBXddh3OSiQy5SIhJMTa+Ycb3QdZbgMzxvBl6z7wUihdQaOHBU24yZCWPPXdzlv5uZxVjntaSuJYuMUSCfIgRbOwz8/Px44dO/D5558jKysLBw8exIYNGzB16lRkZmYiJycHRUVF2Lp1KwBg4sSJmDFjBjZt2gTGGFavXg0AmDVrFkaNGoXc3FwMGjQImZmZAIDFixcjLi4OGzduxMiRIzF79mwdbte4aKrArC2gxHGJHeAOnnQ2fG7PaUXZShgt5Moo9Uu9YI2vZEfOy3tda2CKK3UtigIN+TrUV7p072ixjDe7QsuKN81e2PmJ9flCRzs1HaZkxDSJPMTWO/OHa9qcjb0l0scJQ7EZX+H1+MJZDY3Ndrf072UXYdXXR93yUVoH7SL1pvJKo8vPpeDQRbfALg4H8P1RfbZYVfo85ZRZoRlfi0VSr2k7u90h0R6c+YvNt/MHZWpCDQuvmzohGzn5yvtkPdAs7GNiYjB58mR06NABFosF/fr1w5kzZ9CnTx/07t0bZrMZqampyM3NRUlJCZqamjB48GAAQFpaGnJzc2G1WlFQUIDExES34wCQl5eH1NRUAEBKSgq2bdsGq1VFFDG9Ebx3TvAFc7Tm1lkIGk1tQwtyd50RPdf5XW7+naHZasdKgVlWrGHy28OClYX4MNc9jVWwIQ5jzOtDUx3618d3wG1x6g1+/HePlQrCMknkEd4qHaXM6f6au+WQ6qCkLivs76pqmlRFXVOSpxBf3if/vew6cEGXUKquvLmH1PqvxWrHOx8UeHjZHzp9CRcq+dMs7oOE7G0nndp46wGrzaHovV+60ihqPTHBhLOtcR2Em2BJ1TMt+KpRX7rSqLp+iwVT0qvPlYpyyuUvVk3tdoer/tbUNWtqr9yA578BXDIM+LD07tZbb3V9PnPmDDZu3IjnnnsOMTExruOxsbEoKytDeXm52/GYmBiUlZWhuroakZGRMJvNbscBuKUxm82IjIxEVVUVunXrprXIusK9ZL3WXWtd5ywsD+CspAs/+h57Dpfhl4/0bz3ZPe3J81dgdzCX8BGW5fO8E17X2QvJ+95znW2zzdNsx2XDHzkHct5dSH2jFdd06eD1PNmGrbAM3jR7qXqg1jlSCqnrps/YKHqc/46sNrtHdD0tYxNvwl5PM+30ZflYv2CELnkJy7XncBl2/FAKu4Nh6gt3uY7/cckOQbrWD8I5e97nhmbxASdjDC/P2YywMBP69Ogqeo4pjLchFdzrqdIVGYFwhN36vecUhLd3/dqCPI/3p1f9EDpUC2m22vHZN8JdAh2uZ/W3VftwtqwOL6YO1HT9QCuKPjvoHT9+HC+++CImTZqE3r17u3fgjMFkMsHhcIge5/7zkVqq4AzgYRx/QjtvlG+12dHUokw7lETji5eKTc55e3NBS4SDkl0HLmDNZokQpcwz7jMg3si4DSKkOgKhZs8vpn6uK9IPr+DQRfzh3W2CDYTcz68XWX/ucDCkTsjG2i2ec9WAcztiLka/swQC87tEecJbhb2UxiVmpvUGP8W3RfLR0OScucQIcxP2nmX2iyXCFyu+H3tQ4QBf6b4AUgoBv6zC9lbfaMXkf+xA/oELuHCpHiUVdZLOXibwBlACw5kiU7PidfbKzpPJQZc8pd6x3r5wh05fwvsbDrkde3pajlsU1K3fn5PNQ65qCP0X/I1P0rOwsBAvvPACJkyYgCeeeALdu3d3c6SrqKhAbGysx/HKykrExsYiOjoatbW1sNvtbucDTqtAZaXTqcxms6G+vh5RUVG+FFdXuAa+6utjSPvjBoyc8oVv+UlU4K6dLZJpGGtrp0LhwVV81xpfkey5GP4e+UqVUaTm5uSfkSwfILLUxsF0H9HK5Tf/w0IcLa5GI09zEp4v9CsAgJZWociflhDuOLh83cE2ASCjtfExtzroHT8r7mMhpYmJDYJdnR7v4kIzrhBv+5d7XJf3Wez9a9OypAf02vPk8tCSSNlpXBPjrsEZxbxdU9Lhj3e8QWQq6eCpS8jh+dqYzeLdtclkcj1SBub2/LQMHqXwVaMWS64lT3/OdD0+cZ1rNZDUQKnRzQoj0y7hfSCodwRJOTQL+wsXLuDVV19FRkYGkpOTAQB33nknTp8+jeLiYtjtdmzYsAHx8fHo2bMnIiIiUFjo3HkpOzsb8fHxsFgsiIuLQ05ODgAgKysL8fHxAICEhARkZWUBAHJychAXFweLRVrw+Ruhx6o/NqwQI1zGmsHXGLjd0QBn4z/WKky0DHalyqLlloWVWSr4jy+PUyopY0w0drvwfDEBy81Lc97zwjz4x/60LN+rRs3BTZtIOU3ZJUyw3DvhaxVigtubZqtWs9/G8/4Wu55WJyUx9OjE/arZC/x0uFCo3PEzF2rcl0QKyuQRm4FXVqm4A3xnTLNMXyDVzvWcs99ccM6neCCib0ZHzV4JNfUtuHRFegWO3cFcewUosVqJWRP4xRPb/ZKfrZothn1F85z98uXL0dzcjLlz57qOPfPMM5g7dy7GjRuH5uZmJCQkICkpCQCQkZGB6dOno66uDgMHDsTo0aMBADNnzsTkyZOxdOlS9OjRAwsXLgQAjB8/HpMnT0ZycjK6du2KjIwMX+5Td/Q2X0rV38t1zaiubZJIJFXZpAWb0rKI5atlgCMUpB9/eRTdoztrKJUMEsV67A/rXJ/5jUrYWYi9yxZO2PN8GsQ6GZvNgX3HK7BP4Agm9ag4Mz6fi5fqcfFSPQb3j3Uryx+XbMe1XSLczv3L8rYARTa7AxZzmNvte3tDSgKBSCEmOHx11uMzdu5mJA25CUPv6aM5D7FmWd9oRZdO3hUFb/W77Xfn/zCX1cz5fVzGN6LpfFnKx69z0pq9+7X8pdl/ubsYX+4u1uwDodcuf8ItbtXw3MyNYAyy9xAb3RkXKuuhZJwkdk/8Y3wnabk0gUCzsJ8+fTqmT58u+tu6des8jg0YMACffvqpx/GePXtixYoVHsejoqKwbNkyrcXzO4ES9oD82mg9Y+K3lUXcP0J26Z2kqdL9h6ytJ/HoXT8CoN+cvRInSTlhv2XPOcT9xN3xk7NI8IW9WONXu4uhWcQhklszv37BCDeBKrbUr5i3m57V5kCnCPdn760jzNl1Gj/pG62qzBzimr30sy86WYmf9L3ewwlUam71wqV6vL/hIIbe/SNN5dtzuAyNzZ5TMs/NzMXn81K9Z+ClGgnbvEmxGV98qkeJtOenEas7gHPQ4RaSl5fG6PHbNc3Z++DUoeR63CDOruDkRhHHSqku+cvdxfjNYwPdpwO9F0c3jOPxZnCEHZTeQlauAksFvWCM4YMczyAvYvO7SrexlKO5Wf38klh7EX92/m3AfPO18Pzt+0pwrqxWcD6n2bc1EbER+W9mfyV6PeErqKlvwYKVhZJe1xze6pWVp5lzHbm7JUc+fV6h953JxAgLM4lr9hLC5IfjFZiSudPNwVEpWmpCaWUdZr33Lf62ynMHN28Cj7seN5iV8tIW+me4HPS8VECpn5VotfxzwsKlxTJX306cu+w2RaSnZu8rWufsF35U6La80d/LU7kmr+Q6jSJ9opzmfuRMtfvgPIBaPu16pxBhpdRds5fpjxytc8/e9lAXzVejA4xYxaht1LBZj6gHrvOYXptEMDhNtRZzGDpYwkXPWb7uIO66rRuG3dtXtIMRzq1xmj0/qIySkb6rTIJTP/vmOPK+P4+Y6zrJppOqV9v3lSLutu5ugkvMhO63GOsOhiNnPC0NXFQxPv/KOoD1208BgGszJD7e3rqWe6hrsMqmVdQOvGro7qe1OegpNf+7U1LhJWywIG9Jb3yZdmTTcc7eV0QHogpeyzeF51Fd0xaF0M+yvu06Cp7dj/tc53FMrngOxlQ58OkJafYKEWoHejvo7ZcJZ2sXLF30hmRMaYUwvps/D7md+SQ1SrHRfOuj1Mt8WF7VgGem58hurrLncBky1+53FkmszxEctIo56PnQMDkfAK2Cbuve8/hi5ym3Y22aPf+Y/zqPRR9/73FMzGLECXrAXRDNfn83pi/b6ZeynS+XF5xKmqviOXvBYNVb3lIBuBZ+5Pk8hSgpt1zXoESzD1j4do2aPSBUNOTTTFu6E+u2n5Q9Rw6uDSpp7hGtygW//2iUCdLlYO6rJQIp7EmzV4iwTnIbouiFmCNHbHRnlFc14OU5m0XTSHl0X5bZUU0JUu2P057UIFaX/WW6OnOhBm9LbJDi7frCTpFbeufNQU8pLi3cS88qZ8avqHb3IuYGJG6bvwSw81ALt1fEXQO7y56ndiCtZLMpJf4m3q7K7d7YbHXA7mCuV+l1kODDAMxNC5S4jjOWifhvenrjCxFOfYnhcDCMmLgOIx++FaWVnisVlMLve7zd0v4Tldh/ohKP/aKfpmu1LbH0/t7sDs+B3AWZ+2QO5lZ+f23WJAZp9gqJvqZjwK8pt8YecMbY9oYmBxjGRP0EhDtWKUG/tdnKUOKbIHZ54b21WMW88bWXixMMdTLWEUBeWAutS2XVDVj19VF3hywDmW0BjVqjH6qHEkdKpYM5m92Bdz4o4KWTP58TCAdOVuKZ6TmKrsHBrw5SgwYTgBPnxWNm+NPS87t5W7yew+3699k3J7Dzh1KP35UOTvlxCPw9z81N112p815n2vw4lJXJ04yvoYAaIWGvkGAsl5BbV6sUb+UWi7ft4GktfGSdx1Q4IR067dycZ8PO09i5v7S1nLLF1BWxZyKcs29oDbQT0cGMK3XN2H+iwqdBCtfpigVP4cjddUb2GQs77jn/LcCHG4/gdGmbh77SDVUChdig8d9Z8oNUfwwGK6q9W+LUOE7tOnChzdzrRWDx36lYtEb5MrWllawbJmDZZ/vFr62wPvir+a39xhllUmrQp/RV8+fPZR6DLqjp6znLiVtkUJmCOBzu9Zs0ewMSjKWR4TLet0rx5t2dve2Uxz7kdsZEG86Xu4sx6e/bVV1frCOs4jnbfPDFIY/f/UXnjs5ZK7FHwtfsz5fXuraY7RRhxpTMnZi2NF+diZw5d+/jplqUhFNevq5I1uwqdMjjNP0DPH8Pq4J19GoFji8YZTtvOS1t+boiT58cBe/aFTGbMdnzfVm5w08qGV1RJr0yzT54L0mpsHMLiuXnzlhNO7eLafaywp6pGlTqCQl7hQRjJtQsEoBFLd6WHYnt584YJHtpb5tHCPHWmDu4HFxUZauJThHm1muJafZtwnjsO1vw1XdnAQAdO4S75ibV+EKcKr2Cf2cXYea/djnzVzAFYncwL5q9+Lv8lLe8TckcrVpTshq27dW2tI+PL3XBLDFArq6Vf3e1DS1udbXZakfBoYuyaew8B0nJfSbg27y5kiVncs67Sq5dVdOEXQc8Texi/N+PYxWdJ0Ttxk+e57V9lhOQ/Ge0ZI3nMkxF11Ij7Fvvi4kcE82bvPGNTzDM+GI70qlFLhzjrgMXRIW9pj2mJY7LefADgMUVFcz/z1fOe5oTxkKPc/46+5MS86LeOFpchd0H5QUH4BT2cs9ebFdBIf6co1XC/A8L3b5zz1yNduuLaTP6WvGljd46/ktXmtyq4EebjuKt5bux75j0ypa3lu8G4Czv3mPSW+n64qDH5+uCs6LHv+DFzxeyZM0PivJW6nD8/dFyNDbbsFfCORhQZydQ2tcoCUTzYe4Rt6BTm74tdn0+Ulyl/Foq6t/ZslocPl0F5hbmWrrPLatqcAvE44+gaFKQsFdIcMz4/tfsxeJEO3cjVHcdJlFp1207JXqc4/g5Z6ztQNR5k8m5BO9/IlMH3Jz9lj3uu1jpMacmFvhIDIcXzV4Jhpuzb61HqmLy+/AIHBrv/41FW93edcVlp/BbulZ8LpyPcw8GOe06uAMwvVn08ff4d/YByd/V3K1SJYr/DOWE9msL8jzyP3CyEhPf3e62S+VfWgdqYqhRdhwOhklLtrvVnc0F0jvhrdh4GH9+ry3kdSDn7GnpnUKCodlbJGJhq2HbXs89pPlUXvEMiqKlc/KlQ/v+SHlAnm9jk821fEqIlJldD+GpxkLj6/WujYwQDXQTLDjNXo3FwZcO0Jd6yL/s6RKnhqhkudjl2mZJb3hfy2RE9IjGyaF0hkPJEkTR/Fmr1QZtigUAfCczRaPldfGLJFQYhFzmTSkFUqyQZq+QoGj2EkJCD/M+h9godsuec6pddnzZ/Wzmv3cFZO6qTsYxTWx3KkCfjlrOxCvEVzN89LWBXyKqBLW77WnFN2HflvaCyO51UogNmN3LZCxri5FQ2m+49b8qXrHDwVx+HEqvpWkaU6OAoDl7A6JW24jqGuH9JC9IhX4NBC0qdzPzVShKBQgKFI3NNvFgOwHWyqTmZZVi1XF/bD3GlFwWarby/OG48sGREF/e15z/FXg/SQPlVdJbqoqh1QnOKKh510pWqQhR84rtDgeaWuPXKx1Ia9qJT3WK1muRsDcearfy1EP77thBXNhLbXWpJ8J96L3hzXTlDS66WrDIyT+DKZmeoVy1dEa+IBZ4RA1NGgIfScHfF2BEvLZoZNxUtpRWNfDm6z2OKXUqE8MIPgsWcxh6xUa6vh+QCYUtBrdq5GpAS6AuNVr0mLe/Rn1rzAyl06JaBLBWoU3r7A2IVWUnotW5jt/BSjV6PZbkeUNs68ZQ5+CpSx7Hzl30HhLUSMgF7VEL3+lMauDpjZz8Myi+UCOp7aU9eIumfKUwwvy4w8F88re5qoS9BkuUGmFfXdvs2nCog1lZHda2eRgJ+5Dg4qV61U4p4RqjicQP7un63FGi0XcIgGavt7CPvsb3aY1goHY6I9h4W+qoBhNv4ClVF5Xw+4xvJDU4OS92LfAHFWJWg0DAGFMsWMTo1NF3Yd+lk3yobaOgKQS3Svl4vswp7JWGktaipW9VsCxWr2tphYS9AuZ/uEd1mjCNZnz+QE9qhN9Zh87AG00a9q6Xo9navoQm4T5n30mjZs/xqcS+9lrbiRJ+nXKb3/KWw8EAiyW4mv0dt9zQ6RdmhgAAGHBJREFULgS+nNOsFGqnariAWXK70fHRIn+XrzuoPhHIG99wqHE44ZCK5OUN/g5mETwHveeSBrg+B6IRyy1N0YJaHwAi+PAjs/mi2QPSy7W0WsCU4M+BhDd80ux1EPadIsyY+sLPfc7HiHyYe8T7STy48NDBdgIWgzR7g6Fl/i1c6yY2vHfPv+6NN7Q5/HTpaPwRuxAtA6ZA4W13Qb3Q6uRmBHwV9mLERneGyY89kN5TBGoI9pw9Y0x7HxRiXPYSKjmYkLA3GGKCypu3vdZNbPgOG/1/dJ3rM19L6dq5g6a8CXGknLp8dYTs3S3S7XvHiMAupfz9yME+pec7KnXqoL+wn/f7+3URyIP7x4geD6Zm75uw972eMCbdRwVju24l3No7Spd8fnJTtNv3eh2dVvWGHPQMhtj7iBDMYT4Wf7Pbd35Ho2a9fEV125rcG6I64b47bnSWgafyj+KZ9AHgph7XKM7/uWHuaV/75WBMfeEuxemNwn9nDPV6Trfozoryklqu5qsc4g/WAPWDh3cnPODT9RPv6YNP56Z4PW/cL8UHBfx6722gcvfA7qrKBgCRnTvoIpCNaOnyJUaGPpq99GBHiwe8r4x/+qdez3n9Ge/nKOHt393n80A3UJCwbwcI5+SEm13wR9U33tBFcb4P/qwX7xphrqgkjGdcuE4QsEfNunvh/uKP3t0H/Xpeq6pcWvjlI/1Vp7m93w2Sv0Uo6EyVCgEpU5qv7VAo3NXGXtAjVkOEJRx/fflejH3yDslzpPxL+Lff0Ytmr3RgxSfMpI/2LeXDIrcbnL8xghlfUtjrGItBKYP6Sa+M6NLqcCz1vtQMkmf85m6Yw8N0sY74yttj7/N6DpnxDYZYQBChgE39xc24qcc1mPrCXTCZgMG3ipsW5XjgZ71wK08bDA8Pc5k5+SPAThFmJPy0Tfiq6S/FgsQomXK4n7ckUMiU59scgRa/keDxe6cIMzqr7MB+nXIbHn9Aeo5baFkR49pIZdMdQnM7R1iYCaMSB4j+xiG3pFDYSUlpVLfoZL6U4s7+MXgorrfk71KdLH9zI7GpI74w0bJE0WQy6WLGl1qdEjxRbwBhD+nBoi+hrbUiN/Di7tdkAqb/2tPKGKWwHQNtg04tMlSPiKXXdOngsrQqWUJJ3vgGQ8zMK1zrHhvdGX//w4MYcnsPrMsYgRui2rbalOrQfvPYQCyf/qjru93OPLzWw1zbsjLMffV+LHo9ASaTCX947meuc37cx32OSo5fiAhtJSNnuQ6If6/9enkKrkfu+pFqc9UTD9wiO+pVUubrJbY7FTLnd/eLDlKujezges8397xWdK4zPeknkvkKB1HVNeKOQq8+daeoFqZnPyBnJVCiAd8Q5Xnv/EA7WlZb6CXsI/2wOkWuWEo0tmB74zsY03UPDV+Rs8RFtFqNHA6Guwf18BgopT14KwBlvkpcO1IT8fSmHtdg+bRHsVZiyuvxBHGl45ounuW5/84bXe9PiQWlXy/vVlW9IGGvAO6l8R0/LOYw9OCZ54WdFj82/iN3/Ug0X5PJhNjr2syfNrvDY56X81Z2MGeQEDEt8NcpAxXeCdD3Rs/Kxe8UOB8BIXJOPXKd05q3k/HSY4NUdci/TrkNJpNJVNj37haJThFmRQLK26YwQ27vgUm/isO1kRGig5Tu0V1cAnvQzdeL+gkMvbsPftS9q2j+wjqRnjQAr6Tdgb++fK/rmMkE3NIrCtnzH8PMl+5xO1/PzlrueUld5uae1+J3T96BkQ/fCpPJ5NExSQn7GxRuxqOXGV+ybvmQtVxSB2N46qFbZdMrHaiJ+WUIp0wWjI9XmFsbfW+8xi2KZ1SkpwXKmyarxHqmlKiuEfjrK/eK/sYJd7HY9Y8n9EPXVqGqRFPmViAIrRexMtNMPWMiPX7nDzhGD/eM1/DvqY9g2eSHXd+5mA6333IDXn/2p3jg/3p59OVCUn9xs2KFRA8MLezXr1+P4cOHY+jQoVi5cmXQytHcYkPaA7fgXp4gtFjCccctbXPKwr70J32vR9fOFvzl5SGSgrKuwbn+k8vHbmceDdBlxpfRctWaDIWhT7lOITzMhEm/inMdj72uE27rG41fpwxEz5hIyRGunCDvGGFGWJgJQ++5SVHZPnsnxTWSHyQyZ/+PiQ9h1ezhAJyNRQ5vZvz0xAGilg6Oic/9DPxuX9LcLWG1EL6X6Gs6Ivm+vm7m/HUZI1yf437SzfX59yPvRK/Yroi5Tn1nsPiNBPxOMEcvp0FLGV2m/vouDLu3r6uzmz/uF1j51jDX7xE8ocStaHg8oR8WilhJxDCZTJLC/ulH+iPjtV+4vsstj+wu4RMjJ7Dl3jsAJN8vXbfsdiYbUvWmHtdgYN9o9O4mPgjkI6YdCi1CSr3Un3igLfTwUw/1dxssrpiV5Pr87oQH8Lun7sS/pjwMKbp2tqieevPGnRJTm2azu4DmP9rz5XWIaA1QZFYwMOTuWbiCKumePq7P/X/U9jwH3nw9Xnva05nvs3dSXZ/F+tfu13dB184d8If0n+EfEx9E2oO34rN3UnDfHTfixhsiMSH9Z7CYwzB7rPgABwB+osIiqweGFfZlZWVYtGgRPvroI2RlZWHVqlU4ceJEwMvBNerIzha3Bj5syE34zWOD8JvHBmHV7OEegiCykwUf/WU4BvePhdRy10tXnJ73Sa2CUKw/5o4pidcs1XFyDljcf6HmwB13CJx6RiT0wzu//4UrfvnQu/tAjK6CDosvEDiUaKkdLOGw8MyfYh2hyWRyPesxj98um5/FHI43nv0/yd+Fmj9/7tccbsJ113REQ+smGmLTBiMfdg5KpHbT6izhINigIBRxYmudWPKHBz0GWS+NGCSbtl+vKAy7t6/bMWHd4jvscQOBwf1j0PdG53zj3//wIK7r6v58LOZwXNOlg8sf5dWn7nT9Nubx25F4Tx+MHn6bRzoxJrZOQ3Vv1aiEdfe5YT9xm56yyJjFB0h0mt2u9xwEDOp3PZ5+pD/eePb/8MoT4vVn1ezheOmxtmf8y0f6u3mT2xwOSYfEd35/P2aPvQ93D+qBzEkPuY5ff21HN7+JnjGR+MfEBxVpdmKDTOHOeE8+eAue5jnBhoeZJOfm+954LYYNuUn22oy1afbcoEVowYu5rpPLqtXBHCbaXgHvO4D+rPVe2tK3taenH+mPW3s7NeRbeNa3N551vo+IDuFuAcfCJbaz5VtXZ4+9D0+29ml9b7zGrZ2+/bv78O+pj7i+c9Vy1ezhWPi6p4Ul4f964UfdnW3GYg73eFd33CLtu6U0fK9eGFbY5+fn45577kFUVBQ6d+6MxMRE5ObmBrwcJpMJs393H4bf29c14nw8oR+G3t0HnSLMeDyhn2SnzhFznXjHwGly1bXO/bA5U9I/Jj7oMnm1Oeh5pk/9xc0uT/9/TXlE1Mz86F0/wvt/SgTQ1lgnpDsF4IA+zkbEmb6E4wlhpy1lChMKQqlGP/Dm69G5oxmP3vUjtxHv/XfeiN8+PsilsfO5ra+zIx819MdunacQ4QoFAGhqtuGhuN6Y9dshbsdv6nENpv36Lo85wNv6tnkMcwKcc7YR0wS59d1S6/QjO1nwpxfv9jiuJohP544W/OaxQa7OCXBaCISrI7yFUDaZTFg+rc0/ZPi9ffH27+7D3958ADHRzk6/tqEF7054EFnzUmWXc7718hCsXzDCTVO7IaoTfj9ysGIrU3yrg2nHCDOy5qVKCl6O34+8U/T4uozH0KWTBWMevx3zx7VZAua/9gtEWMLx9KNOAdi7W1fMGjMEc353P54b9hNYzGFIvv9mLH4jwe0dffZOCjp3tCAszIR/T30E7/9pKH417Cfodn1b3bfbHUgacpNbnYsf3BNjHr8dt/W93q3+39zzWjwU1xv/nZGIdJ6zpznc5BISgPuKApPJ5CZwxODa7o03dMHiNxLwQspAVx24pXW6Jaq1/cbLWDEmj3aPssftJ8DQNsjgBpf8TYtWzR6O/0wfikWvJyCiQzjGPf1TrHxrGB74WS/8349jsX6B02J1W99o/JNn7uamLfhLNUclDsB70x5F99bBWbdo5/+ZL92DATdF44aoTvjn5IfxfKupvEtHs8vKesctN+DpR3/syovrL4XC/rquHdG7W1cM7h+Djh3MuKO17sZEuQ94bu93g6scy6c/ig/+7LSIdO5owa29r0N4mAk/7iNvnhciqYQFOugRMyjLli1jCxcudH1fvXo1mz59utd0586dY/3792fnzp3TvUxll+rZyCkb2NmLNarSNTZbWcqbWWzDjlNs2tIdLOXNLOZwOFy/19Q3s3krCtiVumaPtEeLq1jKm1msrKpe0bXy95eyT748wg6fvsTsduc1rDY7++3sr1j+/lLXeS1WG7PZ7K7vKW9msTWbjzHGGPvheDl7dnoOq6n3LM/neSfY8bPVLOXNLNcfY4zNfn83W/XVUdd5n24+xlZsPCRb1qytJ1jurjOy51htdtbYZJX8/YOcQ67ns23veZbyZhb77dtfsZQ3s9j+ExWu806VXGYfbjzMHp+4ju07Vi6aV019M1v11VE2671dbMcPJYwxxhwOB6tvbHGds+fwRbZs7Q8s5c0sVnWlkTHG2PFz1ezJyevZe9kH2KqvjrKFHxWy3F2nma31+ae8mcXeeu9bVx4Oh4Nlbz0hWo6vdhe7vSd+msrLDezzvOPMZncwm83OahtaWMqbWez387cwxhh7+7+72d8++V7yWTHG2K9mbmRL1uxzO9bY5KyfOfmnZdOKkfJmFpuaucPj+OXaJlZV08g+zzvBcnaeYvtPVLAzF66w1AlZbOFHhR7n22x2tnbLcfavz/ez3F1t5fh08zF28FQlY4yxqppG9qdlO1nKm1lsxr/yXXWPz3cHL7CK6oa2e2u2sv+sK2KNzdJ1qMVqZ6/M/ZrtOuD53Pks/vh7lvJmFjtX1tb+z5XVsDcX57G6hhaZlG00NlnZn5btZEeLq1zHjp+tZlVXGtmRM5fY2//d7WqXH+UeZhtb38mJc9Xs2NkqtjH/NMsrPMcOnbrEUt7MYifPX3bL/9CpS6LtljHG3nrvWzZvRYHH8bf/u5ulz8hhl2ubWFOLjf129ldsx74S9vGXR1jKm1msuqbJde7ZizWs7JKyvqi+sYVZeX0Mx+aCYlbX0MKOnLnEtuw56/H7mQtX2H/WFYk+0/XbT7JjZ53P7lTJZdd7/TzvOEt5M8v1vehkJUt5M4t98tURt/fFZ/+JClcbVQO/71ZC9rYTrr7y2wOl7Ifj5WztluOari2HN9lnYiyQzv/KWbp0KZqbm/H6668DAFavXo2ioiK89dZbsunOnz+Phx9+GJs3b0avXr6tDfcHjDE4HEzzFrhGoqHJig6W8IBsuauW+karYTYCabHaER4e5hfv6GarHWEmk09LvQjlNFvtimI8hAIOB0NTi82r5dIoMMbczOhWm112+ieQ2O0O5wZJfmyn3mSfYXuI7t27o6KiwvW9oqICsbGxMinaByaTKSQEPeA0bRlR0APG2uKzgyXcb8ugIizhJOgDyNUi6AGn+bm9CHrA07fBKIIecDpBB7udGraXuPfee7Fr1y5UVVWhsbERX375JeLj1S9BIQiCIIirHf9vjK6Rbt264Y033sDo0aNhtVrx1FNP4Y47pEN+EgRBEAQhjmGFPQCkpqYiNTXV+4kEQRAEQUhiWDM+QRAEQRD6QMKeIAiCIEIcEvYEQRAEEeIYes5eC3a7M+74xYsXg1wSgiAIgggMnMzjZKCQkBP23Nr89PT0IJeEIAiCIAJLRUUF+vTx3MfEsBH0tNLU1ISioiLExMQgPNw4QRUIgiAIwl/Y7XZUVFRg0KBB6NjRczOqkBP2BEEQBEG4Qw56BEEQBBHikLAnCIIgiBCHhD1BEARBhDgk7AmCIAgixCFhTxAEQRAhDgl7giAIgghxSNgTBEEQRIgT0sJ+yZIlSE5ORnJyMubNmwcAyM/PR2pqKoYOHYpFixa5zj18+DDS0tKQmJiIadOmwWazAQD279+PJ598EqmpqXj55ZddEfqESKXnWLx4Mf7+97+3y/u4dOkSRowY4fp76KGH8NOf/tTv98IxadIkfPbZZ67vpaWlSE9PR1JSEsaOHYv6+nrF98LHl3dihHsx2nsBgDVr1mDy5MmS1/F2v97St4d7SUtLc72TxMRE3HbbbaisrAzKfRQWFuKpp57CiBEj8Pzzz6OkpET0Wu2hrfhyL0ZrK3v27EFaWhpSU1Pxyiuv4MqVK4rvhY+q98JClJ07d7Knn36aNTc3s5aWFjZ69Gi2fv16lpCQwM6ePcusVit78cUXWV5eHmOMseTkZLZ3717GGGNTpkxhK1euZA6HgyUkJLBdu3Yxxhj74osv2Msvvyx6PbH0jDFWU1PDpkyZwu644w727rvvttv74LDb7ey5555j69at8/u9XLx4kb388svsjjvuYGvXrnXlM2bMGLZhwwbGGGNLlixh8+bNU3Uvvr4TI90LR7DfS1NTE5s/fz4bPHgw++Mf/yh5Lan7VZq+PdwLn4kTJ7KlS5cG5T4YY+zBBx9khw8fZowxtmbNGvbKK6+IXq89tBVf74Uj2G2FMcYeeeQRdvz4ccYYY/Pnz2cLFixQdS9a3kvIavYxMTGYPHkyOnToAIvFgn79+uHMmTPo06cPevfuDbPZjNTUVOTm5qKkpARNTU0YPHgwAOfIPDc3F9XV1WhqasI999wDAHjwwQexY8cOtLS0uF1LKj0AbN68GTfddBN+/etft+v74Fi7di06deqE1NRUv94LAKxfvx4PP/wwhg0b5srDarWioKAAiYmJkmX0di++vhMj3QtHsN9LQUEBHA4HJk6cKHkduftVkr693AvHrl27cOTIEfz2t78Nyn20tLRg/PjxGDBgAADgxz/+MS5cuOBxrfbQVvS4F45gtxUAyMnJwS233AKr1YqysjJcc801qu5Fy3sJWWF/6623uh7SmTNnsHHjRphMJsTExLjOiY2NRVlZGcrLy92Ox8TEoKysDNdddx06d+6MHTt2AAC++OILWK1WVFdXu11LKj0APP744xgzZozmOP1GuQ/AGXt52bJlmDBhgt/vBQBeeukljBw50i2P6upqREZGwmw2i5ZRyb34+k6MdC+AMd7L/fffj0mTJonG5OaQu18l6dvLvXC8++67eOONNzTVMz3uo0OHDhgxYgQAwOFwYMmSJXjkkUc8rtUe2ooe9wIYo60AgMViwdGjR5GQkIDdu3cjOTlZ1b1oeS8hK+w5jh8/jhdffBGTJk1C7969YTKZXL8xxmAymeBwOESPm0wmvPvuu/j/9u7nFZ44juP4M3ZylcPOiOKg5kAULi4rt03ZbC5OOJAiB6Ek2d2D2oPscZPk4B/YLXFZJ+W2tSclB2kPEuWwpGHpe5Dt62vn22Ktj0/vx21+fPbTq3fv3m0zNRsbGwwODpLL5aitrcUwjDd7uK3XLcfh4SHNzc3Ytv3tWdwUu17s/krUBNTIokJdSlFq3nL46Synp6fc3NzQ19f3pX3KkePh4YH5+Xny+TyTk5Pvrv+GXnn11Swq9Ypt2xwdHTE1NcXs7OyHs3yU1sM+nU4zNjbG3NwcwWAQy7LevJh2dXWF1+t9d/76+hqv1wuAx+NhZ2eHRCJBIBDg+fmZx8fHwoseExMT/12vU45UKkV/f39Fsripq6sjl8sVvtn8ev/l5WVFa6JSFhXq4ubvl6Lc8pabCllUqcnd3R3j4+Pk83ni8TiGYfzKXilXFhXq4jgOqVSqcBwIBDg5Ofn2umj3PftXFxcXTE9PE4vF6OnpAaCjo4OzszPOz89pbGxkd3eXoaEhGhoaqKmpIZ1O09XVRTKZxOfzAbC0tEQ4HKa9vZ3t7W38fj+maZJMJt/s57ZepxyZTOZTzx8/k8WNYRh0d3ezt7fHwMAAiUQCn89X0ZqolkWFurj5N0exvOWkSpZMJsPo6OiP51hYWKCpqYlIJEJV1ct/u9/YK+XKokKveDweIpEIlmXR1tbG/v4+nZ2d314XbYf91tYWjuMQjUYL54aHh4lGo8zMzOA4Dr29vfj9fgDW1tZYXl7m9vaW1tZWRkZGAAiHw4RCIe7v77Ftm9XV1aL7ua3XKUc2m8WyrIplcRMKhVhcXCQej1NfX8/6+vqHs3yVSllUqUspSs37WapkyWazmKb56d8uR47j42MODg5oaWkhGAwCL8+TNzc3392req+UK4sKvVJdXU0sFmNlZYWnpydM06zIXJHv2QshhBCa0/qZvRBCCCFk2AshhBDak2EvhBBCaE6GvRBCCKE5GfZCCCGE5mTYCyGEEJqTYS+EEEJoToa9EEIIobk/Nqi24KYr9KUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4))\n",
    "\n",
    "sns.lineplot(data=time_df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Order_Date\n",
      "2009-01-01     526.420000\n",
      "2009-01-02    1677.300000\n",
      "2009-01-03    1041.162500\n",
      "2009-01-04     884.060643\n",
      "2009-01-05     369.047143\n",
      "Name: Sales, dtype: float64\n",
      "<class 'pandas.core.series.Series'>\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "time_df=df.groupby('Order_Date')['Sales'].mean()\n",
    "print(time_df.head())\n",
    "\n",
    "print(type(time_df))\n",
    "\n",
    "plt.figure(figsize=(8,4))\n",
    "\n",
    "sns.lineplot(data=time_df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "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>Ord_id</th>\n",
       "      <th>Prod_id</th>\n",
       "      <th>Ship_id</th>\n",
       "      <th>Cust_id</th>\n",
       "      <th>Sales</th>\n",
       "      <th>Discount</th>\n",
       "      <th>Order_Quantity</th>\n",
       "      <th>Profit</th>\n",
       "      <th>Shipping_Cost</th>\n",
       "      <th>Product_Base_Margin</th>\n",
       "      <th>Order_ID</th>\n",
       "      <th>Order_Date</th>\n",
       "      <th>Order_Priority</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_16</td>\n",
       "      <td>SHP_7609</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>136.81</td>\n",
       "      <td>0.01</td>\n",
       "      <td>23</td>\n",
       "      <td>-30.51</td>\n",
       "      <td>3.60</td>\n",
       "      <td>0.56</td>\n",
       "      <td>36262</td>\n",
       "      <td>2010-07-27</td>\n",
       "      <td>NOT SPECIFIED</td>\n",
       "      <td>7</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_4</td>\n",
       "      <td>SHP_7610</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>4701.69</td>\n",
       "      <td>0.00</td>\n",
       "      <td>26</td>\n",
       "      <td>1148.90</td>\n",
       "      <td>2.50</td>\n",
       "      <td>0.59</td>\n",
       "      <td>36262</td>\n",
       "      <td>2010-07-27</td>\n",
       "      <td>NOT SPECIFIED</td>\n",
       "      <td>7</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ord_5446</td>\n",
       "      <td>Prod_6</td>\n",
       "      <td>SHP_7608</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>164.02</td>\n",
       "      <td>0.03</td>\n",
       "      <td>23</td>\n",
       "      <td>-47.64</td>\n",
       "      <td>6.15</td>\n",
       "      <td>0.37</td>\n",
       "      <td>36262</td>\n",
       "      <td>2010-07-27</td>\n",
       "      <td>NOT SPECIFIED</td>\n",
       "      <td>7</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Ord_5406</td>\n",
       "      <td>Prod_13</td>\n",
       "      <td>SHP_7549</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>42.27</td>\n",
       "      <td>0.01</td>\n",
       "      <td>13</td>\n",
       "      <td>4.56</td>\n",
       "      <td>0.93</td>\n",
       "      <td>0.54</td>\n",
       "      <td>20513</td>\n",
       "      <td>2009-07-07</td>\n",
       "      <td>HIGH</td>\n",
       "      <td>7</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Ord_5456</td>\n",
       "      <td>Prod_6</td>\n",
       "      <td>SHP_7625</td>\n",
       "      <td>Cust_1818</td>\n",
       "      <td>2337.89</td>\n",
       "      <td>0.09</td>\n",
       "      <td>43</td>\n",
       "      <td>729.34</td>\n",
       "      <td>14.30</td>\n",
       "      <td>0.37</td>\n",
       "      <td>39682</td>\n",
       "      <td>2010-09-11</td>\n",
       "      <td>MEDIUM</td>\n",
       "      <td>9</td>\n",
       "      <td>2010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Ord_id  Prod_id   Ship_id    Cust_id    Sales  Discount  Order_Quantity  \\\n",
       "0  Ord_5446  Prod_16  SHP_7609  Cust_1818   136.81      0.01              23   \n",
       "1  Ord_5446   Prod_4  SHP_7610  Cust_1818  4701.69      0.00              26   \n",
       "2  Ord_5446   Prod_6  SHP_7608  Cust_1818   164.02      0.03              23   \n",
       "3  Ord_5406  Prod_13  SHP_7549  Cust_1818    42.27      0.01              13   \n",
       "4  Ord_5456   Prod_6  SHP_7625  Cust_1818  2337.89      0.09              43   \n",
       "\n",
       "    Profit  Shipping_Cost  Product_Base_Margin  Order_ID Order_Date  \\\n",
       "0   -30.51           3.60                 0.56     36262 2010-07-27   \n",
       "1  1148.90           2.50                 0.59     36262 2010-07-27   \n",
       "2   -47.64           6.15                 0.37     36262 2010-07-27   \n",
       "3     4.56           0.93                 0.54     20513 2009-07-07   \n",
       "4   729.34          14.30                 0.37     39682 2010-09-11   \n",
       "\n",
       "  Order_Priority  month  year  \n",
       "0  NOT SPECIFIED      7  2010  \n",
       "1  NOT SPECIFIED      7  2010  \n",
       "2  NOT SPECIFIED      7  2010  \n",
       "3           HIGH      7  2009  \n",
       "4         MEDIUM      9  2010  "
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['month']=df['Order_Date'].dt.month\n",
    "df['year']=df['Order_Date'].dt.year\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "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></th>\n",
       "      <th>Sales</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">2009</th>\n",
       "      <th>1</th>\n",
       "      <td>1898.475090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2116.510723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2258.661599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2374.155868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1922.317055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1548.093259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1909.084469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1827.095921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1717.295494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2203.961070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1502.192743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2209.047484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">2010</th>\n",
       "      <th>1</th>\n",
       "      <td>1549.664361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1591.532297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1708.934944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1461.935539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1440.393540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1695.397085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1272.653408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1277.917503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2216.599136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1927.250907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1806.324648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1869.720956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">2011</th>\n",
       "      <th>1</th>\n",
       "      <td>1321.671562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1733.378070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1822.860614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2062.716921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1822.033936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1655.599644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1515.576260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1471.700741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1430.616748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1851.404564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2161.479056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1672.187881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"12\" valign=\"top\">2012</th>\n",
       "      <th>1</th>\n",
       "      <td>2220.831551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2438.166961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1578.284028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1325.253694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1865.744629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2192.228263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1824.935942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1090.950643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1628.963780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1636.951775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1935.183039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1747.047528</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Sales\n",
       "year month             \n",
       "2009 1      1898.475090\n",
       "     2      2116.510723\n",
       "     3      2258.661599\n",
       "     4      2374.155868\n",
       "     5      1922.317055\n",
       "     6      1548.093259\n",
       "     7      1909.084469\n",
       "     8      1827.095921\n",
       "     9      1717.295494\n",
       "     10     2203.961070\n",
       "     11     1502.192743\n",
       "     12     2209.047484\n",
       "2010 1      1549.664361\n",
       "     2      1591.532297\n",
       "     3      1708.934944\n",
       "     4      1461.935539\n",
       "     5      1440.393540\n",
       "     6      1695.397085\n",
       "     7      1272.653408\n",
       "     8      1277.917503\n",
       "     9      2216.599136\n",
       "     10     1927.250907\n",
       "     11     1806.324648\n",
       "     12     1869.720956\n",
       "2011 1      1321.671562\n",
       "     2      1733.378070\n",
       "     3      1822.860614\n",
       "     4      2062.716921\n",
       "     5      1822.033936\n",
       "     6      1655.599644\n",
       "     7      1515.576260\n",
       "     8      1471.700741\n",
       "     9      1430.616748\n",
       "     10     1851.404564\n",
       "     11     2161.479056\n",
       "     12     1672.187881\n",
       "2012 1      2220.831551\n",
       "     2      2438.166961\n",
       "     3      1578.284028\n",
       "     4      1325.253694\n",
       "     5      1865.744629\n",
       "     6      2192.228263\n",
       "     7      1824.935942\n",
       "     8      1090.950643\n",
       "     9      1628.963780\n",
       "     10     1636.951775\n",
       "     11     1935.183039\n",
       "     12     1747.047528"
      ]
     },
     "execution_count": 237,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_time=df.groupby(['year','month']).Sales.mean()\n",
    "df_time=pd.DataFrame(df_time)\n",
    "df_time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "lineplot() got multiple values for argument 'x'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-225-cfd536dc18ad>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfigsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m8\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m6\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlineplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdf_time\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'year'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'Sales'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mxlabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Time'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mylabel\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Sales'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: lineplot() got multiple values for argument 'x'"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 576x432 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,6))\n",
    "sns.lineplot(df_time, x='year', y='Sales')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('Sales')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "48\n"
     ]
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "end_date=datetime(2013,1,1)\n",
    "st_date=datetime(2009,1,1)\n",
    "num_months=(end_date.year-st_date.year)*12+(end_date.month-st_date.month)\n",
    "print(num_months)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "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>month</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2009</th>\n",
       "      <td>1898.475090</td>\n",
       "      <td>2116.510723</td>\n",
       "      <td>2258.661599</td>\n",
       "      <td>2374.155868</td>\n",
       "      <td>1922.317055</td>\n",
       "      <td>1548.093259</td>\n",
       "      <td>1909.084469</td>\n",
       "      <td>1827.095921</td>\n",
       "      <td>1717.295494</td>\n",
       "      <td>2203.961070</td>\n",
       "      <td>1502.192743</td>\n",
       "      <td>2209.047484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010</th>\n",
       "      <td>1549.664361</td>\n",
       "      <td>1591.532297</td>\n",
       "      <td>1708.934944</td>\n",
       "      <td>1461.935539</td>\n",
       "      <td>1440.393540</td>\n",
       "      <td>1695.397085</td>\n",
       "      <td>1272.653408</td>\n",
       "      <td>1277.917503</td>\n",
       "      <td>2216.599136</td>\n",
       "      <td>1927.250907</td>\n",
       "      <td>1806.324648</td>\n",
       "      <td>1869.720956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011</th>\n",
       "      <td>1321.671562</td>\n",
       "      <td>1733.378070</td>\n",
       "      <td>1822.860614</td>\n",
       "      <td>2062.716921</td>\n",
       "      <td>1822.033936</td>\n",
       "      <td>1655.599644</td>\n",
       "      <td>1515.576260</td>\n",
       "      <td>1471.700741</td>\n",
       "      <td>1430.616748</td>\n",
       "      <td>1851.404564</td>\n",
       "      <td>2161.479056</td>\n",
       "      <td>1672.187881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012</th>\n",
       "      <td>2220.831551</td>\n",
       "      <td>2438.166961</td>\n",
       "      <td>1578.284028</td>\n",
       "      <td>1325.253694</td>\n",
       "      <td>1865.744629</td>\n",
       "      <td>2192.228263</td>\n",
       "      <td>1824.935942</td>\n",
       "      <td>1090.950643</td>\n",
       "      <td>1628.963780</td>\n",
       "      <td>1636.951775</td>\n",
       "      <td>1935.183039</td>\n",
       "      <td>1747.047528</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "month           1            2            3            4            5   \\\n",
       "year                                                                     \n",
       "2009   1898.475090  2116.510723  2258.661599  2374.155868  1922.317055   \n",
       "2010   1549.664361  1591.532297  1708.934944  1461.935539  1440.393540   \n",
       "2011   1321.671562  1733.378070  1822.860614  2062.716921  1822.033936   \n",
       "2012   2220.831551  2438.166961  1578.284028  1325.253694  1865.744629   \n",
       "\n",
       "month           6            7            8            9            10  \\\n",
       "year                                                                     \n",
       "2009   1548.093259  1909.084469  1827.095921  1717.295494  2203.961070   \n",
       "2010   1695.397085  1272.653408  1277.917503  2216.599136  1927.250907   \n",
       "2011   1655.599644  1515.576260  1471.700741  1430.616748  1851.404564   \n",
       "2012   2192.228263  1824.935942  1090.950643  1628.963780  1636.951775   \n",
       "\n",
       "month           11           12  \n",
       "year                             \n",
       "2009   1502.192743  2209.047484  \n",
       "2010   1806.324648  1869.720956  \n",
       "2011   2161.479056  1672.187881  \n",
       "2012   1935.183039  1747.047528  "
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_month=pd.pivot_table(df,values='Sales',index='year',columns='month', aggfunc='mean')\n",
    "year_month.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mZrC2toabmxt+/vnn7q1bFBoail69euHatWuYMGECcnNzoVQqO4yZMGECVq9ejaKiIshkMlhbW8PS0hIODg5IT0/H+PHjWQ+MEIPGIbl0pm7R4yoqKhAfH4/jx4/D2toaMTExiImJgaenZ5fWLWJ9oKVWq7Fr1y44OzvD398fX375JW7cuNFhTHx8PNLS0nD79m0kJydDq9Vi3LhxkMvlSElJYT0oQgweh8mi+vXrB2tr6ycWtuRy/vx5DB8+HM899xykUilef/11fP/995zqFgHourpFAwcOBADY2Njg119/xTPPPIPm5uYOY06fPo1PP/0U7733Hr744gskJCQgMzMTwMNsSAhhYSRlX3gaPnw4CgoKUFlZCQA4deoURo8e3f11iwYMGIB//vOfGDNmDD7++GOYmZnhwYMHHcY83o2ysbHBzp07sXjxYpibm3PqTrUmGTmh0zEAoD14iFccAOD3+7xDKzYf4R070OcZ3rGS0f15xTFXzvBuE48NT+iscZfn8I7Vftz+00o2/00s4x07MmEY+0ZdQcBBcra2tli1ahUWLlwImUyGIUOGIDo6GkDX1i1iTS7R0dH46quvMHbsWIwaNQqJiYlYvXp1hzFubm4ICAiASqWCvb09hg0bhoSEBAQHB6OxsZHL+RNi2AQYRPf4k9/Zs2e3eb9mxIgRSEtLe2L9oEGDkJyc3Kn2OPVcXn/9dVy5cgXvvvsugoOD0bt37w5jgoODoVQqWwyyUSqVOHToEPbs2dOpAyTEIPHo4esb1s7XpUuXMG3aNAQFBaG8vByTJ0/GDz+wV45zcnKCra1ti3VWVlaIiIjgf7SEGAqphH3Rc6zJJS4uDv/617/Qv39/WFpaIi4urs3n5oSQLmQIyeXBgwf461//qvs8adIk3SMpQohARFC3iPWei5GREWpqanRPedjGuBBCukAP6JmwYU0uy5cvh7+/PyoqKvDOO+/g7NmzusdWhBCBiOCGLmtyOXjwIAICAtDU1ASGYbBixYonbtQSQrqYCHourFduLi4uOHr0KD777DM0NDRgwIAB3XFchBg2Q7jn4u3tDW9vb1y/fh0HDx6Er68vXnzxRQQEBMDe3r47jpEQw2MIPRcAumkWiouLodFoMGDAALz//vtITEwU+vgIMUgSqYR10Xec5tA9dOgQBg8ejPnz5yMhIQHGxsaor6/HlClTEBIS0h3HSYhhMYQbutXV1fj0008xYsSIFutNTU07nDCKEPIUZAaQXD744IN2v5s4cWKXHgwh5P/0/NwibCF6QghPPeCeChtKLoToI0O450II+ROI4J5LDxiKQ4gB6uK3ouvq6uDp6YmSkhIAwMWLF/H666/Dw8MD77zzjm4St8LCQvj4+MDV1RURERG6KW3VajUWLFgANzc3LF++HPfu3WM/hU6eMiGkO0g4LBxdvnwZ8+bN0xVFq6urw8qVK3WzTALQzT4XFhaGqKgonDhxAgzDIDU1FQB0RdGysrIwatQobN++nbVdSi6E6CMOPZfa2lqUlJQ8sbQulPaoKNqjGfvPnj2LMWPG6IaXREZGYvr06W0WRcvKykJTUxPy8/N1dd4frWdD91wI0UccLnv4FkW7efMmTE1N8fbbb+PGjRt46aWXoFKp8Msvv3RvUTQ+1q5d2+H3VHWREBZS9osKvkXRNBoNzpw5g/379+PZZ59FREQEdu3ahQkTJnRpUTRBkstLL72EmJgYhIeHw8TERIgmCBE3Dj/e1jWhuRo4cCAcHBwwePBgAIC7uzv27dsHHx8f1qJoMpmMc1E0QZLL3LlzcfPmTZSUlLCWISGEtEEmE2zXEydOxMcff4zS0lJYWVnh22+/hZ2dXYuiaEqlss2iaF5eXl1XFI2vkJAQ5OfnC7V7QsRNKlxysbKyQnR0NJYtW4aGhgaMHDkSa9asAdDNRdH4ksvleOWVV4TaPSHiJsAI3ceLok2ePBmTJ09+YptuLYrGx+HDhzv8ftasWUI0S4h4CHhZ1F0ESS7nzp3DyZMn4ebm1ub3lFwIYUHvFrUtNjYWNTU1UCqV8PX1FaIJQsRNwHsu3UWwEbrR0dGoqakRaveEiJsIKi4KdkNXoVBg6dKlQu2eEHETQc9FsOSSk5ODrKwslJWVQSqVQqFQwNnZWfd+AiGkA7Ke/9qfIMklISEBBQUF8Pb2hkKhAMMwqKioQFpaGi5duqR7pk4IaYeEkkubMjIykJmZCWmr9yM8PT3h6elJyYUQNhzeLdJ3gpyBiYkJysrKnlivVqshl8uFaJIQcZFI2Bc9J0jPRaVSYcGCBbCxsYGFhQUkEgnKy8tRXFxMb0QTwgUNomvbhAkTsHr1ahQVFUEmk8Ha2hqWlpZwcHBAeno6xo8fL0SzhIhHD+iZsBHksig+Ph5paWm4ffs2kpOTodVqMW7cOMjlcqSkpAjRJCHiIpOxL3pOkJ7L6dOnkZ6eDiMjIwQEBGDJkiWQy+Vwd3cHwzBCNEmIuNA4l7Y9PnOVjY0Ndu7cicWLF8Pc3JzTDFaEGDwR/E4ESS5ubm4ICAiASqWCvb09hg0bhoSEBAQHB+tKGHRG3tBEXseR1cA/+0dl2PGOVayazztWs+HfvGMvB13jFefw1h3ebUpj2WeBbw+T9h7/dl+1YN+oHc/fvM87lrnTwDu2U+miB1z2sBHknsujCYL79OmjW6dUKnHo0CH4+PgI0SQhItOFtUXwZN2iR/bt24eAgADd5x5Rt8jJyQm2trYt1llZWSEiIkKoJgkRD6mMfeGodd2iR65du4Zdu3a1WEd1iwgRPfaeC9+6RQDQ2NiIqKgohISE6NZR3SJCDAGHngnfukUAsHnzZsyZMwfW1ta6deXl5fpft4gQ8pQ4vLjIt27R2bNnUVpairVr1yIvL0+3XqvV6n/dIkLI02JPLnzrFh0/fhxXr17FzJkzUV9fj8rKSoSGhiIsLEz/6xYRQp6SgG9FP/5+X15eHpKSkvDRRx8BQJfWLaIbuoTopa59FM1VfHw8YmJi4Obmhvr6+hZ1i1JTUzFjxgycP38eoaGhrPuingsh+kiA4f+P1y16xNHREY6OjrrPel+3iBDytGj4PyFEABJ6cZEQIggJJRdCiCDosogQIgS6LCKECIN6LoQQIVDPhRAiDOq5EEKEQE+LCCGCEMEcuoK8W1RaWoq33noLPj4+2L59OzQaje67oKAgIZokRFwkMvZFzwmSXNatW4fXXnsN0dHRKCgowLJly3RzcXKZZIYQgyeRsi96TpAjvHPnDubMmYNRo0Zhx44d6Nu3L8LCwoRoihBxouTSNiMjI1y9ehXAwxmrYmNjUV1djaioqBaXSISQdlByaZtKpUJQUBCOHTsGADA2NsaOHTtQWVmJa9f41dYhxKBQcmmbUqlEdna2brZwADA1NcX27dtx6NAhIZokRFy6OLm0rlu0f/9+eHp6wsvLC2vXrtUVK+wRdYsAQC6XP7Fu5MiRQjZJiEhIOSzctK5bVFRUhN27dyMlJQVHjx6FVqvFF198AaBr6xYJMs7l8OHDHX4/a9YsIZolRDw4DP+vra19okYR8OTE3Y/qFoWHhwN4+Ed//fr1MDMzAwAMHz4carW6zbpFiYmJmDt3LvLz87Ft2zbden9/f9aHNIIkl3PnzuHkyZNwc3Nr83tKLoSw4HDZw7du0aBBgzBo0CAAQHV1NT7//HPExMT0jLpFsbGxqKmpgVKphK+vrxBNECJywtUteuTWrVsIDAzEnDlz4OjoiAsXLvSMukXR0dG6p0WEkE7iMAKXb90iALh+/ToCAwMREBCAJUuWAAAsLS27tG6RYDd0FQoFli5dKtTuCRE3iYR94amurg5Lly7FqlWrdIkFeHi59KhuEYA26xYB4Fy3SLCeS05ODrKyslBWVgapVAqFQgFnZ+cWj6cJIe0Q8N2htLQ0VFZWYu/evdi7dy8AYOrUqVi1ahXi4+MRGRmJuro62NnZtahbpFKpsGPHDlhZWWHLli2s7QiSXBISElBQUABvb28oFAowDIOKigqkpaXh0qVLWLNmjRDNEiIeArwV/ahu0aJFi7Bo0aI2t9H7ukUZGRnIzMyEtFVJSk9PT3h6elJyIYRND3jrmY0g91xMTExQVlb2xHq1Wt3mwDpCSCsimHJBkJ6LSqXCggULYGNjAwsLC0gkEpSXl6O4uLhFEWxCSHt6/mRRgiSXCRMmYPXq1SgqKoJMJoO1tTUsLS3h4OCA9PR0jB8/XohmCREPEUzQLchlUXx8PNLS0nD79m0kJydDq9Vi3LhxkMvlSElJEaJJQkRGwmHRb4L0XE6fPo309HQYGRnpBunI5XK4u7uDYRghmiREXHrAPRU2giSXx4cL29jYYOfOnVi8eDHMzc05DRsmxOCJ4HciYQToSiQlJSE3NxcqlQr29vYAgAsXLiA4OBiNjY26EYCEEPESJLkAD9+MVigUsLW11a0rLS3Fnj17EBERIUSThBA9IlhyIYQYNv2fiJMQ0iNRciGECIKSCyFEEJRcCCGCoORCCBEEJRdCiCAouRBCBEHJhRAiiB6dXFqXqOQqKSkJHh4e8PDwQFxcXKdiExISMGPGDHh4eOjmH+2s2NhYqFSqTsUEBATAw8MDM2fOxMyZM3H58mXOsdnZ2fDx8YG7uzs2btzIOe7AgQO69mbOnAmlUono6GjO8UeOHNH9/xwbG8s5DgB27doFV1dXeHl5YceOHazbt/63kJubCy8vL7i4uGDr1q2digWA8PBwTqWHuZZJNUhMD3Xp0iXG09OTsbOzY37//XfOcWfPnmX+9re/MQ0NDUxjYyOzcOFC5uTJk5xi8/LyGD8/P6apqYm5f/8+M2XKFOb69eudOu7c3FzG0dGRWbNmDecYrVbLTJw4kWlqaupUWwzDML/99hszceJEprS0lGlsbGTmzZvHfPfdd53ez6+//spMnz6dqaqq4rR9fX09M27cOKaqqoppampifH19mbNnz3KKPXv2LOPp6cncvXuXaW5uZoKCgpgTJ060u33rfwv3799nJk2axPz2229MU1MTs2TJknbPuXVsWVkZExQUxNjb2zMHDx7s8Dhbx964cYOZPn06c/fuXUar1TLh4eHM3r17OZ2zGPXYnsujEpVc6qc8zsLCAiqVCnK5HMbGxrC1tYVareYU+/LLL+Ozzz6DkZERqqqqoNFoYGpqyrntO3fuYOvWrVi2bFmnjvnGjRsAgCVLlsDb2xv79u3jHPv1119jxowZsLS0hLGxMbZu3QoHB4dOtQ8A77//Pt5++22Ym5tz2l6j0UCr1eL+/ftobm5Gc3MzTExMOMX+8ssvmDhxIszMzCCTyfDqq6/im2++aXf71v8WCgoKMGTIEAwePBhGRkbw8vJCVlYWp9hjx47htddeg7u7O+txto59vEyqRCLRlUk1VIKVFhFa6xKVXA0bNkz338XFxcjMzMSXX37JOd7Y2BiJiYnYs2cP3Nzc8Mwzz3COjYqKwttvv43S0tJOHXNtbS2cnJzw3nvvoampCQsXLsTQoUPxyiuvsMbevHkTxsbGWLZsGUpLSzF58mSEhoZ2qv3c3Fw8ePCA0w/uETMzM6xatQru7u7o3bs3xo0bh5deeolTrJ2dHT788EMEBQWhd+/eyM7O7nAeoNb/FlqXJVUoFO2WH20dGxgYCACc3tznWibVUPXYnsvTunr1KpYsWYLw8HDY2Nh0KjYkJATnzp1DaWkpUlNTOcUcOHAAVlZWcHJy6vSxvvjii4iLi0Pfvn1hbm4OX19fnD59mlOsRqPBuXPn8OGHH2L//v0oKChAenp6p9pPSUnB4sWLOxXz3//+FwcPHsS3336LnJwcSKVS7N69m1Osk5MTfHx8EBAQgMDAQCiVShgbG3NuW6vVtlmWtLvcunULb7zxhq5MqqEyyORy4cIFLFq0CO+++26btXbbc/36dRQWFgIAevfuDRcXF1y5coVTbEZGBs6ePYuZM2ciMTER2dnZ+PDDDznFnj9/HufOndN9ZhhGVxSczcCBA+Hk5ARzc3P06tUL06ZNQ0FBAadYAGhsbER+fj6mTp3KOQYAzpw5AycnJwwYMAByuRw+Pj74/vvvOcXW1dXBxcUFx44dQ3JyMuRyOQYPHsy57dZlSaBGrLQAAAO/SURBVLmWH+0K169fh5+fH2bPno0VK1Z0S5v6yuCSS2lpKVasWIH4+Hh4eHh0KrakpASRkZFobGxEY2MjTp06BaVSySl27969OH78OI4cOYKQkBBMnToV69at4xR79+5dxMXFoaGhAXV1dUhPT8f06dM5xU6ZMgVnzpxBbW0tNBoNcnJyYGdnxykWAK5cuQIbG5tO3VsCHhbXys3NRX19PRiGQXZ2NkaPHs0ptqSkBG+99Raam5tx9+5dpKWldeqSzMHBAUVFRbh58yY0Gg2OHz/Oqfzo02qvTKqh6rH3XPjavXs3GhoasGnTJt06Pz8/zJs3jzV20qRJKCgowKxZsyCTyeDi4tLpBMXHlClTcPnyZcyaNQtarRbz58/Hiy++yCnWwcEBgYGBmD9/PpqamvDKK69gzpw5nNv+/fffYWlp2eljnjhxIn755Rf4+PjA2NgYo0ePxptvvskpdsSIEXBxcYG3tzc0Gg0WLVrEOYkDD+tmbdq0CStXrkRDQwMmTZoENze3Tp9DZ3VUJtUQ0WRRhBBBGNxlESGke1ByIYQIgpILIUQQlFwIIYKg5EIIEQQlF8IqKSlJ926PSqXiPNKWGDZKLoRVXl4empub/+zDID2MwQ2iE6u8vDxs2bIFVlZWKCoqQu/evfHmm28iOTkZRUVFcHFxwbp167B//34kJydDKpVi4MCBeO+99zB06FCoVCqYmZnhypUrKCsrw/PPP4/Y2FgcPnwYP/30E+Li4iCTPSyOfvHiRfj5+aGyshLDhg3D5s2bOz2ClxiAP3O+B9J1/vOf/zAjR45kfv75Z4ZhGGbp0qW6eWuqqqoYOzs75ujRo8y0adN0c7IcPHiQcXd3Z7RaLbNmzZoW89zMmjWLSUtLYxiGYfz9/ZnMzEyGYRhmzZo1jK+vL1NfX880Nzczs2fPZtLT0/+ckyZ6jS6LRMTa2hovvPACAOC5556Do6Mj5HI5zM3N0adPH5w4cQIzZszQzcni4+ODW7du6WZRe/XVV3Xz3AwfPhw1NTVttjNt2jT07t0bMpkMw4YNQ3V1dfecIOlRKLmIiFwub/G59ZvTbU07wDCM7n5Kr169WmzLtPNmyOP77Wg7YtgouRiQl19+GRkZGbqexsGDB9G/f38MGTKkwziZTEY3dEmn0Q1dA+Lo6AipVIo33ngDWq0W5ubm2LlzJ6TSjv/GTJ06FVu2bEFTU1M3HSkRA3ormhAiCLosIoQIgpILIUQQlFwIIYKg5EIIEQQlF0KIICi5EEIEQcmFECKI/wWG/cStCSGSrgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 288x216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,3))\n",
    "sns.heatmap(year_month, cmap='YlOrRd')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}