2-EDA-Graphs.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Project-Nataly Valenzuela Mullen "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn import metrics\n",
    "from math import sqrt\n",
    "import plotly.express as px\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "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>Name</th>\n",
       "      <th>Change Price?</th>\n",
       "      <th>Category</th>\n",
       "      <th>Character</th>\n",
       "      <th>Color</th>\n",
       "      <th>Buy It Now Price</th>\n",
       "      <th>Image Count</th>\n",
       "      <th>Classification</th>\n",
       "      <th>Hood</th>\n",
       "      <th>Lights</th>\n",
       "      <th>...</th>\n",
       "      <th>FeatureBullet1</th>\n",
       "      <th>FeatureBullet2</th>\n",
       "      <th>FeatureBullet3</th>\n",
       "      <th>FeatureBullet4</th>\n",
       "      <th>FeatureBullet5</th>\n",
       "      <th>Sold Quantity</th>\n",
       "      <th>SoldPriceTotal</th>\n",
       "      <th>TotalCost</th>\n",
       "      <th>TotalProfit</th>\n",
       "      <th>Cost of Total Units Remaining</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3D Pop Out Reindeer Surprise</td>\n",
       "      <td>False</td>\n",
       "      <td>3D Pop out</td>\n",
       "      <td>Reindeer</td>\n",
       "      <td>black</td>\n",
       "      <td>29.99</td>\n",
       "      <td>6</td>\n",
       "      <td>Men's Sweater</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Cotton and Acrylic</td>\n",
       "      <td>Rudolph Pooping Candy Design On Fabric</td>\n",
       "      <td>3D Pop Out Ball Nose On Fabric</td>\n",
       "      <td>Machine Wash Only Do Not Dry Clean</td>\n",
       "      <td>Imported</td>\n",
       "      <td>10</td>\n",
       "      <td>414.90</td>\n",
       "      <td>153.0</td>\n",
       "      <td>261.90</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3D Pop Out Reindeer Surprise</td>\n",
       "      <td>True</td>\n",
       "      <td>3D Pop out</td>\n",
       "      <td>Reindeer</td>\n",
       "      <td>black</td>\n",
       "      <td>39.99</td>\n",
       "      <td>6</td>\n",
       "      <td>Men's Sweater</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Cotton and Acrylic</td>\n",
       "      <td>Rudolph Pooping Candy Design On Fabric</td>\n",
       "      <td>3D Pop Out Ball Nose On Fabric</td>\n",
       "      <td>Machine Wash Only Do Not Dry Clean</td>\n",
       "      <td>Imported</td>\n",
       "      <td>44</td>\n",
       "      <td>1332.52</td>\n",
       "      <td>673.2</td>\n",
       "      <td>659.32</td>\n",
       "      <td>535.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3D Pop Out Reindeer Surprise</td>\n",
       "      <td>False</td>\n",
       "      <td>3D Pop out</td>\n",
       "      <td>Reindeer</td>\n",
       "      <td>black</td>\n",
       "      <td>39.99</td>\n",
       "      <td>6</td>\n",
       "      <td>Men's Sweater</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Cotton and Acrylic</td>\n",
       "      <td>Rudolph Pooping Candy Design On Fabric</td>\n",
       "      <td>3D Pop Out Ball Nose On Fabric</td>\n",
       "      <td>Machine Wash Only Do Not Dry Clean</td>\n",
       "      <td>Imported</td>\n",
       "      <td>15</td>\n",
       "      <td>596.07</td>\n",
       "      <td>229.5</td>\n",
       "      <td>366.57</td>\n",
       "      <td>91.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3D Pop Out Reindeer Surprise</td>\n",
       "      <td>False</td>\n",
       "      <td>3D Pop out</td>\n",
       "      <td>Reindeer</td>\n",
       "      <td>black</td>\n",
       "      <td>39.99</td>\n",
       "      <td>6</td>\n",
       "      <td>Men's Sweater</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Cotton and Acrylic</td>\n",
       "      <td>Rudolph Pooping Candy Design On Fabric</td>\n",
       "      <td>3D Pop Out Ball Nose On Fabric</td>\n",
       "      <td>Machine Wash Only Do Not Dry Clean</td>\n",
       "      <td>Imported</td>\n",
       "      <td>15</td>\n",
       "      <td>577.83</td>\n",
       "      <td>229.5</td>\n",
       "      <td>348.33</td>\n",
       "      <td>61.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3D Pop Out Reindeer Surprise</td>\n",
       "      <td>False</td>\n",
       "      <td>3D Pop out</td>\n",
       "      <td>Reindeer</td>\n",
       "      <td>black</td>\n",
       "      <td>39.99</td>\n",
       "      <td>6</td>\n",
       "      <td>Men's Sweater</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Cotton and Acrylic</td>\n",
       "      <td>Rudolph Pooping Candy Design On Fabric</td>\n",
       "      <td>3D Pop Out Ball Nose On Fabric</td>\n",
       "      <td>Machine Wash Only Do Not Dry Clean</td>\n",
       "      <td>Imported</td>\n",
       "      <td>30</td>\n",
       "      <td>1233.87</td>\n",
       "      <td>459.0</td>\n",
       "      <td>774.87</td>\n",
       "      <td>153.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Name  Change Price?    Category Character  Color  \\\n",
       "0  3D Pop Out Reindeer Surprise          False  3D Pop out  Reindeer  black   \n",
       "1  3D Pop Out Reindeer Surprise           True  3D Pop out  Reindeer  black   \n",
       "2  3D Pop Out Reindeer Surprise          False  3D Pop out  Reindeer  black   \n",
       "3  3D Pop Out Reindeer Surprise          False  3D Pop out  Reindeer  black   \n",
       "4  3D Pop Out Reindeer Surprise          False  3D Pop out  Reindeer  black   \n",
       "\n",
       "   Buy It Now Price  Image Count Classification  Hood  Lights  ...  \\\n",
       "0             29.99            6  Men's Sweater     0       0  ...   \n",
       "1             39.99            6  Men's Sweater     0       0  ...   \n",
       "2             39.99            6  Men's Sweater     0       0  ...   \n",
       "3             39.99            6  Men's Sweater     0       0  ...   \n",
       "4             39.99            6  Men's Sweater     0       0  ...   \n",
       "\n",
       "       FeatureBullet1                          FeatureBullet2  \\\n",
       "0  Cotton and Acrylic  Rudolph Pooping Candy Design On Fabric   \n",
       "1  Cotton and Acrylic  Rudolph Pooping Candy Design On Fabric   \n",
       "2  Cotton and Acrylic  Rudolph Pooping Candy Design On Fabric   \n",
       "3  Cotton and Acrylic  Rudolph Pooping Candy Design On Fabric   \n",
       "4  Cotton and Acrylic  Rudolph Pooping Candy Design On Fabric   \n",
       "\n",
       "                   FeatureBullet3                      FeatureBullet4  \\\n",
       "0  3D Pop Out Ball Nose On Fabric  Machine Wash Only Do Not Dry Clean   \n",
       "1  3D Pop Out Ball Nose On Fabric  Machine Wash Only Do Not Dry Clean   \n",
       "2  3D Pop Out Ball Nose On Fabric  Machine Wash Only Do Not Dry Clean   \n",
       "3  3D Pop Out Ball Nose On Fabric  Machine Wash Only Do Not Dry Clean   \n",
       "4  3D Pop Out Ball Nose On Fabric  Machine Wash Only Do Not Dry Clean   \n",
       "\n",
       "  FeatureBullet5 Sold Quantity  SoldPriceTotal  TotalCost  TotalProfit  \\\n",
       "0       Imported            10          414.90      153.0       261.90   \n",
       "1       Imported            44         1332.52      673.2       659.32   \n",
       "2       Imported            15          596.07      229.5       366.57   \n",
       "3       Imported            15          577.83      229.5       348.33   \n",
       "4       Imported            30         1233.87      459.0       774.87   \n",
       "\n",
       "   Cost of Total Units Remaining  \n",
       "0                            0.0  \n",
       "1                          535.5  \n",
       "2                           91.8  \n",
       "3                           61.2  \n",
       "4                          153.0  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Import clean_df data\n",
    "clean_df= pd.read_csv(\"clean_df.csv\")\n",
    "clean_df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(430, 21)\n"
     ]
    },
    {
     "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>Buy It Now Price</th>\n",
       "      <th>Image Count</th>\n",
       "      <th>Sold Quantity</th>\n",
       "      <th>SoldPriceTotal</th>\n",
       "      <th>TotalCost</th>\n",
       "      <th>TotalProfit</th>\n",
       "      <th>Cost of Total Units Remaining</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>430.000000</td>\n",
       "      <td>430.000000</td>\n",
       "      <td>430.000000</td>\n",
       "      <td>430.000000</td>\n",
       "      <td>430.000000</td>\n",
       "      <td>430.000000</td>\n",
       "      <td>430.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>40.150465</td>\n",
       "      <td>6.365116</td>\n",
       "      <td>32.609302</td>\n",
       "      <td>1174.419535</td>\n",
       "      <td>432.124279</td>\n",
       "      <td>742.295256</td>\n",
       "      <td>261.424279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.271321</td>\n",
       "      <td>1.688903</td>\n",
       "      <td>39.531120</td>\n",
       "      <td>1500.025450</td>\n",
       "      <td>544.547615</td>\n",
       "      <td>975.364074</td>\n",
       "      <td>489.704645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>14.990000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>14.990000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>2.190000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>34.990000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>155.950000</td>\n",
       "      <td>72.500000</td>\n",
       "      <td>88.082500</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>39.990000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>609.840000</td>\n",
       "      <td>229.500000</td>\n",
       "      <td>359.695000</td>\n",
       "      <td>101.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>49.990000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>1490.822500</td>\n",
       "      <td>566.025000</td>\n",
       "      <td>876.725000</td>\n",
       "      <td>302.270000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>49.990000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>192.000000</td>\n",
       "      <td>7985.910000</td>\n",
       "      <td>2711.500000</td>\n",
       "      <td>5681.910000</td>\n",
       "      <td>4292.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Buy It Now Price  Image Count  Sold Quantity  SoldPriceTotal  \\\n",
       "count        430.000000   430.000000     430.000000      430.000000   \n",
       "mean          40.150465     6.365116      32.609302     1174.419535   \n",
       "std            8.271321     1.688903      39.531120     1500.025450   \n",
       "min           14.990000     2.000000       1.000000       14.990000   \n",
       "25%           34.990000     5.000000       5.000000      155.950000   \n",
       "50%           39.990000     7.000000      18.000000      609.840000   \n",
       "75%           49.990000     8.000000      43.000000     1490.822500   \n",
       "max           49.990000     9.000000     192.000000     7985.910000   \n",
       "\n",
       "         TotalCost  TotalProfit  Cost of Total Units Remaining  \n",
       "count   430.000000   430.000000                     430.000000  \n",
       "mean    432.124279   742.295256                     261.424279  \n",
       "std     544.547615   975.364074                     489.704645  \n",
       "min       8.500000     2.190000                       0.000000  \n",
       "25%      72.500000    88.082500                       0.000000  \n",
       "50%     229.500000   359.695000                     101.750000  \n",
       "75%     566.025000   876.725000                     302.270000  \n",
       "max    2711.500000  5681.910000                    4292.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(clean_df.shape)\n",
    "cont_df=clean_df.drop(columns=['Hood', 'Lights', 'Change Price?'])\n",
    "cont_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "cont_df=cont_df.drop(columns=['SoldPriceTotal', 'TotalCost', 'TotalProfit', 'Cost of Total Units Remaining'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 540x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.pairplot(cont_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "clean_df['Sold Quantity'].plot(kind='hist');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 172.8x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(y=\"Sold Quantity\",kind=\"box\", data=clean_df,  height=6, aspect=6/15 );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Buy It Now Price</th>\n",
       "      <th>Image Count</th>\n",
       "      <th>Sold Quantity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Buy It Now Price</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.595005</td>\n",
       "      <td>0.417595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Image Count</th>\n",
       "      <td>0.595005</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.251253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sold Quantity</th>\n",
       "      <td>0.417595</td>\n",
       "      <td>0.251253</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Buy It Now Price  Image Count  Sold Quantity\n",
       "Buy It Now Price          1.000000     0.595005       0.417595\n",
       "Image Count               0.595005     1.000000       0.251253\n",
       "Sold Quantity             0.417595     0.251253       1.000000"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr=cont_df.corr()\n",
    "corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.heatmap(corr,linewidths=.1,cmap=\"YlGnBu\", annot=True)\n",
    "plt.yticks(rotation=0);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\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>Buy It Now Price</th>\n",
       "      <th>Image Count</th>\n",
       "      <th>Sold Quantity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Buy It Now Price</th>\n",
       "      <td>68.414750</td>\n",
       "      <td>8.311904</td>\n",
       "      <td>136.543026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Image Count</th>\n",
       "      <td>8.311904</td>\n",
       "      <td>2.852393</td>\n",
       "      <td>16.774684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sold Quantity</th>\n",
       "      <td>136.543026</td>\n",
       "      <td>16.774684</td>\n",
       "      <td>1562.709470</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Buy It Now Price  Image Count  Sold Quantity\n",
       "Buy It Now Price         68.414750     8.311904     136.543026\n",
       "Image Count               8.311904     2.852393      16.774684\n",
       "Sold Quantity           136.543026    16.774684    1562.709470"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cov=cont_df.cov()\n",
    "cov\n",
    "#how much error can be explained"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Category\",kind=\"count\", data=clean_df,  height=8.27, aspect=11.7/8.27 );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Category', y='TotalProfit', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "g.fig.suptitle('Profit by Category', fontsize=40);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6TNBQ0K1JkyY+ZcqUApcbL/j44YcfEn42Z+8jLr300pjxU6dOTfr/5u7+5ptvxsx/9913F2p+II3i5gP00IjQGjt2bM7lZyWpWbNmJdKT/pQpU9SnTx+tW7cuZnyLFi3Url07VapUSQsWLNCkSZNyTsfYvn27Lr74Ym3dulVXXXVVvst+6qmndNddd8WMq1ixojp06KAmTZqoUqVK2rJli37++WfNmDFDmzYlupBSZn3++ec6/fTTtWPHjpjxbdq00eGHHy4z05w5czR9+vScx9avX69+/frprbfe0q9//euSLrlU+8c//qF//vOfkqRy5crpmGOOUbNmzVSuXDnNnDkz5v+4efNmnXvuuZo5c6Zq166dqZJzrFq1SqeeeqrWr18fM/7QQw9V69atVbNmTe3atUsbNmzQrFmzinQaSbpNnjw5ZjiZfc2DDz6oP/3pTzn7ASnSX8hRRx2l5s2bq2LFilq2bJnGjRunXbt2SYpsA3379tUnn3xSqKvsfPvtt7rssstylpO9nZUvXz7P+2PhwoW68MILNXLkSM2cOVP9+vXT5s2bc57XkUceqapVq2r+/PmaOHFiTv3r16/X+eefr2nTpiU8hW/fvn0xwxUqVMg5fSn7tV6+fLkmT56sbdu25Uz36quvyt3Tfqnga665Ri+++GJObZ07d1bjxo21e/duTZs2TfPmzcuZdsWKFTr33HP1ww8/FOu0xURmzpypAQMG5OzPGzdurA4dOqhGjRpasWKFxowZE7Mf/c9//qNOnTrpoosuSrjcdevWqXfv3po7d27M+Hr16qljx46qWbOmVq5cqbFjx2rHjh2aPHmyzjvvPJ144ompf5IJXHPNNXr33UjXbmamY445Ri1bttTOnTs1derUmH4xVq5cqV/96lf69ttv455+1aNHDx1++OE5l6B+8cUXde+99yZ9Gtk777yjNWvW5AxffvnlxXhmv/jmm29ihnv27JmS5SaSezusX7++2rZtq9q1a6tSpUrasGGDfvzxRy1cuDBnmnXr1unXv/61xo0bp/bt26e9xq+++kqnnXZanmOZVq1aqW3btqpevbrWrl2r8ePH53x+7N27V3/84x+1Y8cO3XLLLQmXv2DBAvXp0ydPZ+hNmzbNOVV46dKlGjdunPbs2aMRI0bo8ssvL/RpVc8//7wuu+yyPP/zo48+Wq1atdLu3bs1ffp0zZ8/P+exJUuWqEePHvriiy/UqVOnpNe1Zs0anX766Tmfk9WrV1eXLl1Ut25drV+/XtOmTcuZ9qqrrtKzzz6bM/z000/roYceSnpdTz31VM798uXL65JLLkl6XiAj8ktEyvqNFh+46667YpLos88+O+3r3L59e56m0a1atYr7C8n8+fP9lFNOiZm2YsWK+Sb8e/bs8fr16+dMW6FCBb/nnnt88+bNcafft2+ff//99/6Xv/zFGzRokKfFx+rVq33hwoV5fqE5++yzc8bHu6XCqlWr8vx62bFjR584cWKeaSdPnpzn1I3atWvHbXK7ZMmSnDqvv/76mHm+/vrruM8n9ylAhVUaWnzUrl07p6XHFVdc4cuXL88z/ZgxY7xJkyYxyx86dGihnlu81g/Z//Phw4fHTHv//ffn+x5asWJFzDJuvPHGmHlPOeWUhKdNrFy50p955hnv1q2bP/TQQwmfQ2EVtcVHt27dYua75pprEk7/6aefxrTOqVChgv/5z3+OeyrLhg0bfOjQoTHTN2rUKOGpX7l/lc9u7ty1a9e4rTJGjhyZp/XVe++950cddZRL8jZt2sT9X0yePNlbtGgRM9///d//JXzun3/+udesWdOvu+46HzFihO/atSvudFu3bvXHH388T12vv/56wuW7F73FR/a6ypUr57feemue/aa7+wcffJCn+fgjjzyScB3FafGRXdORRx7pX375ZZ7p165d6+edd17MPAcffHBOs/z85G7VUqdOHX/55ZfzzLd582b/85//nHN6VO7XI50tPqL/zyeddJLPmzcvz/SffPJJnl+3jz/++Hyb3P/73/+OmfZ///tf0rX96le/itlm450WVljLli2LqcfMfOPGjcVebkG6d+/uxx9/vD/yyCMJT7edNm1anhY37dq1i/v/3b17d6E/gxcuXBh3O1u2bJnXrVs3Zhnnn39+3NOT9uzZ408//XRM67msrCz/5ptv8n1e+/bty7O/b9asmX/88cd5pl2zZo1fffXVebbJZD6rZ86c6ZUrV46Z/qSTTvI5c+bkmXbUqFF+2GGHxUx7yCGH+JYtW/Jdfu4WH9WqVXMpcnrSo48+6jt37szzv4o+RS97H5/9vHbs2JHw+WRbsmRJzOnWZ5xxRlLzASUkbj6Q8YAiXTeCD1xzzTUxHwa33XZb2tf597//Pc8HVqIDo7179/q5556b54AtnrFjx8ZM9/e//z3punbu3Ol79+7N9/HCfElIhcsvvzxmnccdd1zC81m3bdvm3bt3j5nnggsuSLiOdDfHzlYago/s23333ZdwnunTp3uFChVypm/QoEHC90UywUe2/M4zTkZ0U/vDDz883y/C8Wzfvj3paZNRlODjjjvuyPPFZdKkSflOv3nz5pjgr0qVKv71118XuJ6nnnoqZj2Jgqvc738p0g9Hov/XRx99FDN99pfOdu3aJew7YcqUKTEHwAWdK7527dp8A9t4Zs+eHfNFI5lz0QuzTeb+P5mZv/baawnn+fTTT2Pm6dy5c8LpixN8SJHAatOmTfnOs3fv3jzh24cffpjv9OPHj4+ZtmbNmgU2c3/uuefy1JWOfWu8fdvpp5+eMMhZvHhxnv60nnvuubjTrl27NqaflJNPPjmpuhYtWhTzPk/VjykTJkyIqfvggw9OyXILsmjRokJNf91118XU+dFHHyWcvrifwf369YuZ/4EHHihwnsmTJ8f005FoX/H666/HLL9JkyYF9reWe1+fzGf1iSeeGDNt//79E76XV69enacvk0THr7k/eyV51apV4/6QFM///d//xcw7fPjwpOb729/+FjPf+++/n9R8QAkh+MD+Jfc5s//85z/Tur7du3f7wQcfHHPw/N133xU436ZNm2Lmk+QTJkzIM13uD+np06enrPbCfEkorjVr1sQcdFauXDmpA6LFixfHnB9boUKFuC0bsu1vwUeyB++5t4tEnfuVVPAR/breeOONSc+XDskEH7t27fJly5b5m2++meegVpL//ve/T7iOhx56KGb6J598Mun6zjrrrJz5DjzwwHwDw9zv/8qVK/vSpUsLXH7u/h7MLKl+O04++eScecqVK5fwF8qi+O9//1uo7bkw22Tu1+/qq69Oqqbjjjsu6edcnOCjYsWKSe2/cocxiYKx3Of2F9RKJ9s555yT5/+V7uCjdu3aBXZs7e7+/vvvx8yXKIy68MILY167ZDqp/ctf/hKz/HgtA4oi9+vWpk2blCw31Xbs2BHTF0ZB21VxPoMnT54cM++FF16Y9Ly59xX5HYf17t07ZrpEQWG2vXv3epcuXZL+rJ4+fXrMdPXr1/cNGzYUuJ7x48fHhGx16tTJN7SOF3wkExJl27hxY8xn8EknnVTgPPv27Yvpx65Ro0YFtjADSljcfKBw14cEypDc/QUU97JwBfnyyy+1fPnynOFTTjlFxx13XIHzVa9eXUOHDo0Z99JLLxU43+rVqwtfZCnw5ptvxpyPfskllyTVH0KTJk1i+j/ZvXu3XnvttXSUWCblfg/lp1+/fjHDU6ZMSUc5RVba3te9e/eWmcXcDjjgADVq1Ehnn322RowYETP9RRddVOA50tGXrWzRooUuu+yypOu5/vrrc+5v2LBB3333XVLznX/++WrUqFGB0/Xp0ydmuHfv3urQoUOh5tu3b1/MeeSpcMYZZ8QMjxs3LqXLj1aUbSkdzznbeeedl9Q+sk+fPjGXnc1v2963b5/efPPNnOHatWvryiuvTKqWm2++OanpUun3v/99Un0R/eY3v4m5FOiECRPy9F+S7eqrr865v2/fPj3zzDMJl71v3z4999xzOcNNmzZV3759C6wpGSV9rFJUFStW1CmnnJIznM5tMPelfe+8886k573yyitVpUqVnOEPP/wwzzRr1qzRqFGjcobbtWuX57MxnnLlyummm25KupaXX345ZnjIkCFJvb6dO3fW6aefnjO8du1affLJJ0mts1q1ajHv74LUqFFDAwYMyBkeMWJETL858XzxxRcx01xyySWl5nLHQCIEH9hvmFlal5/7C8jAgQOTnnfgwIEx9cX7MtO6deuY4b/+9a/avn17IavMvOL8ny644IKEy9pfValSRT169Ehq2sMPPzxmuDQEDdHv7f/9738aP358Bqspmh49eui9997Tiy++mLCjxGXLlmnOnDk5w2eeeabKlUv+o7hr164xy//222+Tmi/ZL2mtWrWKGf7Vr36V1HyHHHJIzHBR3lfurq1bt2rFihVatGhRzG337t0x02Z3Tplqhx56qFq2bJnUtCW1LUV/2UykfPnyMa9DfvXMnDkzprPI0047LenOPTt16qSmTZsmNW2qnHfeeUlPe/7558cMjxkzJu50J5xwgtq0aZMz/Oyzz+bpeDLap59+GtOp8mWXXVao7bYw0n2sUpDdu3dr3bp1Wrx4cZ7tsGrVqjnTzZkzJ+H/rDi+/PLLnPtHH3100tukJFWqVEmdO3fOGY63jxw3blyk2Xvg7LPPTnr5p512WtIdGWfieKdPnz4xr1Myon9UcvcCg8DoTk3NLGWd/ALpxlVdEFq1atWKGd64cWNa1/f999/HDB977LFJz1uvXj21aNFCCxYskBS5QsTevXtjEvQjjzxSbdu21Y8//ihJ+vrrr9W6dWtdddVVOvvss2MO4kqz6P9TVlZWoXorP/roo1WxYkXt3Lkzz7L2Z4cccojKl09ud57716bScOWfAQMG6IcffpAkbdu2Td27d9cFF1ygCy64QD179oz5Fbu02rBhg5o0aVLgdLkPwhs2bFjgr2u51axZM+fKEtn7jILk/pKenxo1asQM5w5ck50v2ffVt99+q1dffVVjx47VjBkzkg5zc/9KniqF2Y+W1LZU1Jryq2fq1Kkxw8ccc0yh6jnmmGO0ePHiQs1TVFWqVNERRxyR9PTRX3ilyGfEoEGD4k571VVX6Y9//KMk6aefftIXX3yRb0AY/UWvXLlyhWqlVZCSPlbJbe3atfrf//6nDz/8UFOmTEn6qln79u3Tpk2bdOCBB6a0nlWrVsVcOalFixaF3kdWr1495368fWRxtoGKFSuqbdu2ea7kFU/0MUrDhg2T+ozI1rVr13yXlUgyLfRyO/bYY9W+ffucVmLPPvus7rjjjrjh3tq1a/XOO+/kDJ944olq0aJFodcJZALBB0Ir98HEhg0b0rq+6F/XzCzPL6AFad26dc4H9O7du7Vx48aY5r1mpscff1wnnnhiziUplyxZor/85S/6y1/+ogYNGqh79+464YQT1KtXLx111FEpeFapF/1/atSokSpXrpz0vOXLl1fLli01c+bMPMvanxWmaXTuX3Zz/5KeCdddd51ef/31nAO73bt36/nnn9fzzz+vSpUq6dhjj1W3bt3Us2dPde/ePaYZc7oNHz485gB07969WrZsmWbPnq1HH300J7CZOnWqTjjhBH355Zd5vnxFW7p0aczw0KFDkz61Ip7cl83OT7LvkdwBWlHnK+h9NXPmTF199dX6+uuvk1p+bukKGUrjtlTUmvKrZ+3atTHDhfkyVpTpi6N58+aFalmR+3M392VKow0ePFi33nprzqmXTz31VNzgY9WqVXr//fdzhvv27ZvS/0FJH6tk27dvnx544AHdeeed2rJlS5GWkY7gI/c+8q233tJbb71V5OXF20emYhsoKPjYuXNnzP813uWVC1pH5cqVc8LgZI936tatW6j1ZLv66qv1+9//XlLkNfjkk0/inv7zwgsv5ByDStIVV1xRpPUBmcCpLgitgw8+OGZ49uzZaV1f9MFK1apVC90MNvfBbbxfNLt3765Ro0bF/fV25cqVeuONN3T99derffv2atGihYYNG5a2X0aLKvr/lPtX4mRE/582b96sPXv2pKKsIsvdLLmoTX/37t1b5BrS1eS6pFSuXFlffvmlLrzwwjz/zx07dmj06NG6++67dfLJJ6tu3boaOHCgJk6cWCK1NWjQQM2bN8+5tWrVSj169NCVV16pSZMm6cEHH8yZdsuWLerfv3+eg+poyQYVyUr2C0tR3yPpeG9NmjRJ3bp1K3LoIRV9OytIadyWUl1T7hYF0b+OJ6Mo++2iKuy6cn+OJgoRatWqpXPOOSdn+N13381pSRXt+eefjwmRku0PJVm5j1VWrFihzZs3p3Qdubm7Lr/8cg0dOrTIoYeUnu2wJPaRJbEN5D72Ku7xTrLHctWqVSv0eiTpwgsvjDlF5umnn447XfT4gw46SP379y/S+oBMKH2f8ECKFLWZYCoU5Rzd6PNNEznuuOM0ffp0vfnmmzrnnHPy7fRt0aJFuvPOO9WqVauYX6tKk1T8nzJ9PnTug4yiHkTmnq8kv1yUBjVq1NBLL72kqVOnasiQIfmemrFt2za9+uqr6ty5s37/+99nvMXKDTfcoGuvvTZneNmyZTnN5+NJdb3J7jdKi127dmngwIExB/H16tXTn/70J7377ruaMWOG1q1bp+3bt+e9DB1SInf/BIV9T2afalgSCrt/L+z7JLoTyF27dunFF1/MM030F7169erptNNOK9Q6CtKoUSM1btw4Z9jdNWnSpJSuI7cXXnghprNWM1Pfvn318MMPa8yYMVqyZEnODwvR2+CwYcPSWpdUMq0QM7ENpPO4MBVyd3L6/vvv52kxNWbMGM2YMSNn+OKLL066vxOgNCD4QGh17do1pvn1okWL9NNPP6VtfdHNPbds2VLoX0JyN93O3fw1WlZWls466yz973//05o1azR16lQ99thjGjhwYJ4gZP369Tr77LOL9etqKkX/n4pyLnP0/6l69eoZ70k8Vedn5/5lMtXNh8uKdu3a6YEHHtDMmTO1cuVKvfXWW7rhhhvUrl27PNM++uijuu666zJQZax77rkn5ovLiy++qLFjx8adNvf2OXLkyGJduj36ygRlweuvvx7TuWuvXr00d+5c/etf/9Lpp5+utm3bqlatWqpUqVLMfOn+BXx/knufVdhWgSXZirCw+9Pcn6MF7Ue7d++utm3b5gzn/pX766+/jmktOnjw4KQ7gi2ME044IWZ49OjRKV9HtH/84x8597OysvTWW2/p008/1TXXXKOuXbuqcePGqlatWp7P15LYDnPvI4cNG1asfWS88KAktoFUHBtEv58THROmSu4r5z3//PMxj0f3dSNxmgvKHoIPhFbVqlV1/PHHx4x79tln07a+6PMq3V3z588v1PzRXwYqVKiQ9HndZqYjjzxSV199tV555RWtWrVK7777bkyHcLt379aNN95YqHrSJfr/tGzZskJdmWbPnj1auHBh3GVlSv369WOGo1/Hwsg9X4MGDYpcU1jUr19f/fv314MPPqhp06Zp1qxZuvTSS2OmeeKJJ3I6/M2UatWq6c9//nPMuNzD2XK/X/K73GZYRV9asly5cnr++eeTat20cuXKdJa1X8l9VZboX3CTUdjpi2PRokWF+hEhulNMKdJCoyDRX/ZmzJgRE1rmDkLS9UUv99WTnnvuubT92j979uyY/9Oll16qM888M6l5S2I7LIl9ZElsAxUrVoxpEZr7vVmQpUuXxhwflcTxTpcuXWIuCR39/t+yZYtef/31nOHjjjsuJjQEygKCD4RadBN0KZJWb926NS3r6tixY8xwYa5xv3r16piexzt06FDklgxZWVk6/fTTNXLkSDVs2DBn/Pjx4/Xzzz8XaZmpFP1/2rt3b6FOQZo8eXJOR3S5l5Uphx9+eMzBzdKlS4vU6Wp2J5nZEnWQWRqVxClHrVu31jPPPBPz5cPd9cEHH6R93QW57LLLYjrIGzFiRNzLKOY+BW/EiBFpr600iT74b9OmTdKXRs2vBQ0Kr3PnzjHba2FaF2zevDmpq1mkyrZt2wr1pXTChAkxw8l8RgwaNCimhVH2r9qbNm3S//73v5zxPXr00GGHHZZ0LYUxYMAAHXTQQTnDCxcu1HvvvZeWdeX+An7yyScnPW9htsOifiY0b948JvjPbhWXSl26dIkZLsw2MHfu3KQDoOj33/Lly/N03JpI7v91SR3vRAeBs2fP1jfffCNJevXVV2NOyU11XzdASSD4QKidddZZMZfZWrZsmW677bZiLzfe5dFyty557bXXkl7e8OHDYz7YjzvuuKIXF6hbt26eHrnzO9Un+nKh0b11p0Nx/k+vvPJKzHAq/k/FlZWVlefSxW+//Xahl/Pmm2/GDJeG51YYuS85m8730eDBg2OGC3upw3SoUKGC/vSnP8WM+/vf/55nusMPPzzmtJgPP/wwboeKYRXd3Lsw/di8/PLL6Shnv1SrVi21b98+Z/i7775LuqXa8OHDY8LnkhD9K3NBcn+eJLMfrVWrls4999yYZWzZskWvvPKKtm3bljM+nc36K1eurN/97ncx46677rpiX71ozZo1eU5PyX3KRbLb4dixY5O+fLZUvM+EE088Mef+ihUr9OmnnyY9bzKOPPLImKDpnXfeSfp0l8K0HC6Lxzv5dXIafZpL9erVdd5555VIPSicoUOHatCgQcW6WlyYEXwg1LKysvTAAw/EjHv44Yf10ksvFXmZDz74YEwinq13794xLSw++uijpK48sXXrVt1///0x4y666KIi1xct9wFNfp1QRZ9Wk+6mrGeddVbMr2vPPvuslixZUuB8y5Yt05NPPpkzXL58eZ1//vlpqbGwLr744pjhBx98sFCdpY0aNUrjx4/PGa5Ro4ZOP/30lNVXEnKfmpXO91Gy7+uSduWVV8Y0R/7000/z/AItxXaouGXLFt16660lUl9pEN3nwrx585I6jWH06NH67LPP0ljV/id3q6kbbrihwF/V169fXyKdW+b2yCOPJHWljw8++CCm5Vznzp2TvoRo7m3ytddei/mid+CBB8ZcASYdhgwZombNmuUML1myRBdddFGRO5OdMmWKOnXqlOcqU7n7PUkm9HL3fE/fy09xPhN++9vfxgzffPPNhTottiBZWVm65JJLcoa3bt2a1H54wYIFeuihh5JezwUXXBAz/OCDDybVAfqkSZP07rvv5gzXqVNHp5xyStLrLY7q1atr4MCBOcOvv/66vvvuu5hWzAMHDowJR1B6rFy5UsuWLeP00HwQfCD0+vfvH/NLyr59+zRo0CD961//KtQlROfMmaMzzzxTQ4YMiXsJ1QoVKsR8WGevJ9GlLfft26crrrgipvlj165d457m8Omnnxaqmem2bdv0zjvvxNTXsmXLuNO2bt065/6ECROKdXm7ghx00EExH6pbt27VRRddlPBXxB07dujCCy+Mqeucc87JcxnATBk4cGBM09xZs2Yl9UVCihzcXn755THjrrjiikJfXi/TWrZsGdPp35dffpnUfGvWrNHTTz9dqIP73L/+R79/M6lKlSq6/vrrY8ZFdyKY7Q9/+IPq1KmTM/zUU0/p7rvvLtS6tm3blucXwbLgyCOPzLm/evXqAkPoefPm6aKLLuKqLik2aNCgmP3nxx9/rGuvvTbfy4OvWbNG/fr1y8jB9Lp163TZZZcl/LxeunRpnhYT11xzTdLr6NatW0y/WH/7299iTsO88MILVbly5UJUXXgHHnigXnnllZhO2d9//339+te/1vLly5Nezvbt23XvvfeqW7ducVt5Rm+DUiRYKqgVz2233Vbo0/Jy75dHjhyZ9Lzdu3fXSSedlDM8depUDRw4sFCnKmefBpn7yiTZrrvuupgv748//rjuueeefPc1ixYt0imnnFKoAKZdu3bq3bt3zvCyZct05ZVXJgx8165dq4suuihmmiuvvDLt779o0UHgtm3bYq72kl0PUCYVt6fk0nrr2LGjA9m2b9/uJ5xwgkuKubVt29ZffPFFX7NmTdz5du3a5Z999plffvnlXr58+Zz5evbsGXf6bdu2eevWrWPW0bp1ax81alSeaRcsWOD9+vWLmfaAAw7wH374Ie6yhw0b5pL82GOP9QcffNAXLFiQ7/OdMmWKd+/ePWbZZ511Vr7T33777THT9ujRw9966y3/8ccffeHChTG3VFi5cqXXrVs3Zp3HHnts3Oc+ZcoUP/bYY2OmrVWrli9dujThOrL/X9m3VNWen/feey/P++vkk0/2CRMmxJ1++/bt/uyzz/rBBx8cM0/Lli1948aNBa6vWbNmBb4f41m4cGHM+oYNG5bvtM8++2zMtCNHjky47G7dusVMf/nll/sXX3zhc+bMiXkPrVixIk899evX9+uvv96//vpr37VrV9zlb9iwwW+77TYvV65czjoqVarkP//8c9LPvyA9e/Ys1HPObf369V6jRo2YZUyePDnPdB9//HHM85Dkv/rVr3z06NG+b9++uMvesWOHjxgxwq+99lqvU6eO169fP986ivr+L+xrnm3kyJEx8z377LNxp/voo49ipqtcubI/88wzvmfPnpjpdu3a5c8//7zXq1fPJflBBx0UM9/gwYMT1pOuaYvynN0L93oUZ98V/f5t1qxZwmnffffdPPusdu3a+cMPP+wTJkzw2bNn+1dffeV//etfc/7/BxxwgJ9++ulp3bdG79sOPPDAnPt9+/b1efPm5Zn+008/jZlHkh9//PG+d+/eQq33P//5T57/R/Ytv8/ldHj44YfzrL9q1ap+++23+7Rp0/Kdb+bMmX7PPfd448aNC3x9unTpEjPNiSee6IsWLcoz3fz58/2cc87JmS73dpjotd+0aZNXrlw5Zlv/xz/+4WPGjPF58+bFfCasX78+z/xLlizx+vXrx6zvsMMO85dfftl37NgRd5179+71KVOm+B133OGHHXaYS/KZM2fmW2O81/z444/3Z555xidNmuSzZs3yL774wocMGeJVq1Z1SV67dm3v06dPzDyJzJgxwytVqhQz/amnnurz58/PM+3o0aPzHEO2bNnSN2/enO/yC7MfKoyjjz467rbQvn37lCwf6XHxxRd7nz59/OKLL850KZkW/wpP+T1Q1m8EH8hty5Yt3r9//7g78nLlyvlRRx3lffv29QsuuMB/85vfeMeOHb169epxpz/11FPzXc+kSZNiDtayb61atfIzzjjDzzvvPO/cubObWczjZuaPPPJIvsvNfTCcfRDSq1cvP/vss/2iiy7y0047zVu1apVnugMPPDDuQU22hQsX5vlgzu+WKh9//LFXrFgxz/KPOOIIP+uss/zss8/2I488Ms/jFSpU8HfffbfA5Zd08OHu/te//jXu/6xhw4bet29fHzhwoJ999tnerVu3uP/v2rVr+/fff5/Uukpj8PHqq68m9R6Krjd3PZK8YsWK3rFjRz/ttNP8oosu8nPPPde7dOniFSpUyDPtQw89lPRzT0Zxgw9395tvvjlmGeecc07c6R555BHPysqK+z7o06ePn3feeT5w4EA/9dRTvV27djHhq6QyGXy4u/fo0SPPc27QoIGfdtppfsEFF3jfvn1j9qHlypXLEywSfMRXmODD3f2f//xnUtts9u3//b//l6e+RJ8tRZF733bZZZfFfE526tTJzzvvPD/jjDO8RYsWeWqsW7euz549u9DrXb9+fcwX9exbJo4nn3nmmbifj5K8cePG3rNnTz/nnHP83HPP9RNOOMGbNm0ad9ry5cv7smXL8iz/iy++yHMMkpWV5ccee6wPHDjQzzrrLG/fvn3M48cdd5zfdttthXpv/va3v03qfZXf59CYMWO8du3aeaavVKmSH3fccX7WWWf5hRde6Keddpp36dIlJ5yIviUKPtzdf//73yf9/s/KyvJ33nnHBw8eHDO+IE8//XTcY76OHTv6ueee62eeeaYfcsghedZXo0YNHzduXMJlpyv4eOyxx/LdB6D0IvjIQfABuLs//vjjXqdOnUId7GXfqlat6nfccYdv3bo14TqmTp2a74FIvFulSpX8+eefT7jMeMFHMremTZvG/cU5t1dffTXuQV/uWyp9+eWXcQ9q8rsdeOCB/umnnya17EwEH+6RA5xk/o+5b+3atfO5c+cmvZ7SGHy4u//xj38s8LkWFHwkcytfvrzfd999ST/vZKUi+Fi5cmVMsGVmPmPGjLjTfv7553l+1Uz2dvjhh+dbQ2kOPlauXOmHH354Us+xQoUKOcuKHk/wEV9hgw/3yJfsWrVqJXwdqlat6q+88oq7uw8dOjTmsfxaTBZV7n3bjh07/De/+U1S75f69esn9XmXn0GDBuVZ5qOPPprCZ5e8KVOm+PHHH1+kfYMk//Wvf+0//vhjvst/8MEH83wZz+/WtWtXX7NmTaHfm5s3b44bdOa+JfocWrBggXfs2LFI/4NKlSoVWOO+ffv83nvvLfBzu27duv7FF1+4u/t5552XM75atWoJl59t+PDhhTo2aNSokU+aNKnA5aYr+Ni0aZNXq1Ytz/8zXusclB4EHzni5gP08YH9zlVXXaVFixbpv//9r4499tgCL7lWoUIFHX/88XrkkUe0dOlSDRs2TFWqVEk4z5FHHqmZM2fq73//e8J+KKpVq6bBgwdr9uzZGjRoUMJlXnvttXrqqafUv3//mN7I89OyZUv94x//0MyZM2N68M/P+eefr5kzZ2rYsGHq1auXGjZsmPZzSnv37q25c+dqyJAhMX0e5Fa7dm394Q9/0Ny5c9W3b9+01lRcl112mRYtWqSbb7455uod8WRfEeall17S5MmTdcghh5RQlenz73//W+PGjdM111yjzp07q06dOgk7H23SpIk+++wzXXvttWrTpk2B22PVqlV14YUXasqUKbrppptSXX5K1K9fX5dddlnOsLvrrrvuijvtSSedpAULFujf//63Dj/88KSWfeGFF+rtt9/W1KlTU1ZzSapfv77Gjx+v6667Lt99zAEHHKD+/ftrwoQJMZ0QIvUuvfRSzZo1S/fdd5+6deum+vXr64ADDlCjRo10/PHH67777tP8+fNz+mbasGFDzPy5O7FMtYoVK+rdd9/Vf/7zH7Vq1SruNJUrV9YVV1yhH3/8ManPu/xE920gRfrtyd1BZUk56qij9O233+rzzz/X+eefH3PZ9Pw0a9ZMQ4YM0bRp0/TBBx+oTZs2+U57ww036JNPPkn4/zrkkEN033336auvvkr4GZ2fatWqaeTIkXrrrbd0wQUXqG3btqpZs2ZMPyYFadGihSZMmKA333xTJ5xwQoHzVq1aVaeeeqoeffRRrVixQs2bN084vZnp5ptv1o8//qhhw4apU6dOOuigg1SxYkU1a9ZMvXv31iOPPKK5c+fmXG0mehtI9v0/YMAAzZ07V5dffnnCPrwaNmyoYcOGafbs2Tr66KOTWnY65O7kVIr0rZa7c1ygLDF3z3QNadGpUydP5ooawMaNGzVp0iQtWLBAa9as0e7du1W9enXVrl1brVq10jHHHBNzFZKimDx5sqZNm6bVq1dr165dqlu3rlq2bKlu3boV+YoU8+bN0+zZs7V48WJt3LhRe/fuVfXq1XXwwQerffv2SfdmX1rs27dP48aN0+zZs7V69WpJkUvyHnbYYTr22GOVlZWV4QqLZv78+Zo0aZLWrFmjDRs2qEKFCqpdu7YaNWqkrl27pv1LQ1mzbt06zZgxI2d73LZtm6pUqaLatWurTZs2at++fYl28lbSli9frnHjxmnVqlVat26dypUrpxo1aqhp06Zq06aNWrRoUWA4VJZs3rxZX3/9tebNm6ctW7booIMOyvnCXatWrUyXhzh69uypr776SlIklE7UgXequbvGjx+vOXPmaPny5apSpYqaNm2qPn36pKRD6BkzZqhdu3Y5w5dcckmhLl+aTnv37tW0adM0a9YsLV++XNu2bVPFihVVq1YtNWzYUJ06dVL9+vWLtOwZM2Zo3LhxWr16tSpUqKCGDRvqsMMOU8eOHVP8LIpv8+bN+u6777Rs2TKtXbs255itQYMGatOmjVq3bh3T0XY6NGvWTIsXL5YkHXPMMTEd4SZj9+7d+vbbb7VgwQKtXr1a5cuXV7169XTEEUfo6KOPLjX7+Jtuukn/+te/coZHjRqlnj17ZrAiFGTQoEFatmyZGjVqpBdeeCHT5WRS3I2I4AMAAAAF2r59u+rVq5dzha0TTzxRX3zxRYarSp0bb7xRDzzwQM7wN998o27dumWwIpQ2S5YsUdOmTXOGL7/88phLH4fFnj171KRJk5wrOR166KFJXfoYmUXwkSNu8MGpLgAAACjQ8OHDYy4r3qVLlwxWk1q7du2K+aLQpk0bQg/k8eSTT8YMh2kbiPb+++/HXL76iiuuyGA1QGoQfAAAACChNWvW6Pbbb48Zl6n+L9LhpZdeyjnNUpJ+97vfZbAalEZz5syJaRFUsWJFnX322RmsKH0efPDBnPsVK1bUpZdemsFqgNQg+AAAANgPXXrppfr8888LnG7+/Pnq3bt3zC/APXv2jOkPoyzbsGGDhg0bljNcs2bNAjscRzicddZZGj9+fIHTff/99zrxxBO1bdu2nHEDBgwoUqevpd0bb7yhr7/+Omd4wIABqlu3bgYrAlIj+W6VAQAAEBoTJkzQc889p0MPPVTnnHOOjj32WDVr1kzVqlXTxo0bNWfOHH388cd69dVXtXv37pz5KleurMceeyyDlRfP0qVLtWfPHm3fvl3Tpk3TnXfeqaVLl+Y8fsMNN9Dx9H7is88+09tvv60OHTqof//+6ty5sxo1aqQqVapo/fr1mj59ut5//3298847iu4XsV69err//vszWHlq7NixIyfQXL16tT755BPde++9OY+XL19ef/7znzNVHpBSBB8AAAD7sblz5+qee+5JatpKlSrppZdeSuryy6VV9+7d9dNPP8V9rGXLlho6dGgJV4RMmzx5siZ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\n",
      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Category', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "g.fig.suptitle('Cost of Units Remaining by Category', fontsize=40);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Character"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(x=\"Character\",kind=\"count\", data=clean_df,  height=8.27, aspect=11.7/8.27 )\n",
    "# set rotation\n",
    "g.set_xticklabels(rotation=60);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Character', y='TotalProfit', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "# set rotation\n",
    "g.set_xticklabels(rotation=40)\n",
    "g.fig.suptitle('Profit by Character', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# gp_cat=clean_df.groupby(['Category']).mean()\n",
    "# gp_cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Character', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "# set rotation\n",
    "g.set_xticklabels(rotation=40)\n",
    "g.fig.suptitle('Cost of Units Remaining by Character', fontsize=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Color\",kind=\"count\", data=clean_df,  height=8.27, aspect=11.7/8.27,\n",
    "           palette=['black','green', 'blue', 'orange', 'red', 'grey', 'pink', 'yellow', 'lightblue', 'turquoise', 'purple']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Color', y='TotalProfit', kind=\"bar\", height=8.27, aspect=15/8.27, \n",
    "              palette=['black','green', 'blue', 'orange', 'red', 'grey', 'pink', 'yellow', 'lightblue', 'turquoise', 'purple'])\n",
    "g.fig.suptitle('Profit by Color', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Color', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=15/8.27,\n",
    "             palette=['black','green', 'blue', 'orange', 'red', 'grey', 'pink', 'yellow', 'lightblue', 'turquoise', 'purple'])\n",
    "g.fig.suptitle('Cost of Units Remaining by Color', fontsize=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Classification\",kind=\"count\", data=clean_df,  height=8.27, aspect=11.7/8.27 );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Classification', y='TotalProfit', kind=\"bar\", height=8.27, aspect=11.7/8.27)\n",
    "g.fig.suptitle('Profit by Classification', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Classification', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "g.fig.suptitle('Cost of Units Remaining by Classification', fontsize=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"AMZSize\",kind=\"count\", data=clean_df,  height=8.27, aspect=11.7/8.27 );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='AMZSize', y='TotalProfit', kind=\"bar\", height=8.27, aspect=11.7/8.27)\n",
    "g.fig.suptitle('Profit by Size', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='AMZSize', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "g.fig.suptitle('Cost of Units Remaining by Size', fontsize=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Change Price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Change Price?\",kind=\"count\", data=clean_df,  height=8.27, aspect=11.7/8.27 );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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y++67t68115vX8uijj8748eOTJCNHjswVV1yRVVddtXGNwMDgnCigS/vtt1+P27faaqucd955WXPNNbttM78PfBMmTGgvv//97++x7YYbbpi3ve1tufPOO3PXXXflxRdf7Pb8iyXdyiuvnBEjRvTYZvfdd88Pf/jDJMmNN974hvOyPvOZz+Rb3/pWZs+endNOOy177733XNtvueWW3HjjjUmSMWPG9Ph96m89hYwkGTZsWB555JEeZxZ8/fXXM378+Jx//vm56aab8thjj2XatGl5/fXX39B22rRpefHFF7PyyisvVE1zzFvXxIkT28udZ3rsyjLLLJORI0e2z/GZ1+23394ODquttlr7Q3pPVlxxxTz//PO5884759u2N/rivaA3rr322vbyPvvs03j/F154IbfcckuSjhDV3Wve2Yorrpgk830tJ02a1P6nxRZbbJFLL700K620UuMagYFDiAJ6ZYUVVshaa62VHXbYIfvtt18OPPDA+V6PqfMHza50nrZ88803n28NW2yxRe68887UWvPEE08M2BA1fPjw+U6Tvtlmm7WXH3vssTds32CDDbL33nvnd7/7XX7729/mySefzNprr93evrATSszR+SjJ888/v8D99KSn600l/3fdrzkTXMxrypQpGTNmTCZNmtTrx5xfiOptTUny2muvzbWt8/dr0003nW8tPbXpPM32ZZdd9oajkj1ZkOnse2NxvBf0xpQpU9rLW221VeP9H3nkkXaonjx58nzDYWfzey07Hw0+7rjjBCh4CxCigC7Nb7hTb/Q0PC/pOCKQdAxP680Fcuf8V7jzvgPR8ssvP982nYc+zblG07w++9nP5ne/+11mzZqVM888M1/60peSdHyo//nPf54k2WSTTTJ69OgFrnXOcKakY5ja4rAw19CZOXNmPvCBD7SH1K2xxhrZZ599su2222bttdfOcsst1+7/5JNPzpVXXpkk871m1MLU9PLLL7eXm36v5/XCCy8scB0zZsxY4H0764v3gt548cUX28ud3wt6a2Fey5kzZ/a4/Yknnmgvb7LJJgv8OMDA4ZwooN/M+W/trFmzevWBr3OYGMj/6e18QdLudP4g3t0Hxg9+8IPt6c1PP/309ofd8847r33U6NOf/vRCXRx45MiR7eXrrrtugftZXH75y1+2A9See+6ZBx98MGeccUY+//nP52/+5m+y//77Z8yYMRkzZkyP5x4tSp1DUdPv9bw6f+9POOGERhMs9XSx2IGo85Hn7v6x0JPOr+Vhhx3WeMKqnnR+/5pzThrw5iZEAf1m3XXXbS/fc889820/p00pJeuss85iq2txu+++++b7oezee+9tL3c+GtTZUkst1R6qd++997avuXP66acn6fgw96lPfWqhat11113bRwlvv/323HTTTQvV36L23//93+3lf/u3f+vxqM5DDz3UFyXN9f2ac62gnvTUpvMwuNtvv33hChvg1l9//fbygpzvtThfyxVXXDGrr756Vl999flegwx4cxCigH7zzne+s738hz/8oce2jzzySO66664kydve9rbFej5U56Fci2Io07xeeOGFTJ48ucc2c4adJcnOO+/cbbuxY8e2//N92mmn5S9/+Uv7Aq8f/vCH5wqqC2KVVVbJJz/5yfb9E044YaH6W9SefPLJ9nJPs+k99dRTufnmm/ugomSnnXZqL3f+PnZl5syZPR7h22GHHdo/67///e97PGr1Ztd5coreTAoxrzXWWCNbb711ko6JIB555JFFVtv3vve9PP3003n66afnOnoLvHkJUUC/2X///dvL//mf//mGE/Q7O+mkk9onhR9wwAGLta7Ow34W14fW73//+91umzp1avucpiFDhmSvvfbqtu26667bnqns/PPPz3e/+932toWZUKKzL3/5y+0jPBdddFG+973v9XrfZ555JkceeeQiqaMrnc856umcrW9/+9vzPa9lURk+fHi22WabJMmf/vSn3HDDDd22Pfvss/P00093u33QoEHtqbhfeOGFfOtb31q0xQ4ge++9d1ZbbbUkyS9+8YvceuutjfuYM9X/66+/nq985SuLtD7grUWIAvrN9ttv356a+/7778+nPvWpLs+N+tnPfpYf/OAHSTrOhTr66KMXa12dTwyf3xGjBfWLX/wip5xyyhvWv/zyy/nYxz7WPgl+7Nix870+05yQMn369PzkJz9J0jF7X0/hq4lNN920PUQwSb74xS/m6KOPnusaUvOaOXNmTjvttLz97W9vNKNcU52P0n3961/vckrzU089NSeffPJiq6Ern//859vLhxxySB599NE3tLnpppvy93//9/Pt66tf/Wr7Z+Db3/52vve973X5POeYOnVq/vmf/7k9nfebxQorrJAvf/nLSTrOQfrrv/7rHoPUzTff/IYhnMccc0w22mijJB0B9vOf/3yP52O++OKLOfnkk+caNtqVww47LKWUlFJy5pln9vIZAQOZsx+BfnXqqadmxx13zNSpU3POOedk8uTJOfTQQ7PZZpvl+eefz0UXXZSLL7643f5HP/rRQg9Rm59VV101O+ywQ2666aZceeWVOfLIIzN69Oi5JrNYmIDyjne8I88//3yOOuqojB8/Pvvtt19WWWWV/OUvf8kZZ5zR/uC3ySab5MQTT5xvf3vssUeGDx8+15GYsWPHLtQMc/M6+OCDM23atBxzzDGZOXNmfvSjH+VnP/tZ3v/+92fkyJFZe+21s9RSS+XJJ5/MxIkTc/nll7ePsMz50Lo4HH744fnWt76Vl19+ORdeeGF23HHHfOITn8j666+fJ598MhdccEGuvvrqrLPOOtluu+3mO2x0UdZ19tln58orr8x9992XbbfdNmPHjs2OO+6YWbNm5dprr81ZZ52VpOOaR3OGp3X1PVt//fVzzjnnZJ999smMGTPyxS9+MaeeemoOOOCAbLXVVll++eXz4osv5p577skNN9yQ//3f/83s2bMzatSoPnmufem4447Ltddem4suuigPPfRQe5r1UaNGZa211sqrr76au+++O7///e8zceLEXHnllXP9/K2wwgoZP358dt1117z44ov593//95x77rn56Ec/mu233z5Dhw7NtGnT8sADD2TChAm58sorM3369PZFegHams5OM1BuI0aMqEAzSdq3BXXooYe2+3jggQd6tc/dd99dt9xyy7kef97b8ssvX88666we+9loo41qkrrRRhstdI2XXHJJHTRoULf1LIg5++666671pptuqsOGDeu2/+HDh9f77ruv131/97vfbe+71FJL1YcffniBapyf6667ru6yyy49fq8630aNGlUnTJjwhn523XXXXr+W82s7fvz4utxyy3Vbw7Bhw+qECRPm+30fN25ce/u4ceN6rKk3bV944YX63ve+t9u6lltuufqLX/yi/sM//EN73eTJk7t9zOuvv75uuummvXrdV1xxxXrLLbf0+Bx60l/vBZ1/R7ozY8aMevTRR9elllpqvq/D1Vdf3WUfd911V91hhx169VoOHjy4Xnrppb1+rvP72QEGlG6zhiNRQL/bYostcuutt+ass87Kr3/96/z5z3/OM888kxVXXDGbbLJJ9tprrxxzzDHdzlK3OOy999754x//mJNPPjnXX399nnjiibz66quLrP93vOMduemmm3LyySdn/Pjxeeihh1Jrzeabb54DDzwwxx57bK+uMTTHHnvs0V7ea6+9ssEGGyyyWjvbZZddct111+Waa67JxRdfnKuvvjpTpkzJM888k1JKVltttWy11VZ5z3vek4MOOqh9Iv/itO+++2by5Mn5l3/5l1xxxRXtCzFvvPHG2XfffXP00Uf32fTmnQ0dOjRXXXVVzjzzzPz0pz/NLbfckldffTXDhg3L6NGjc+yxx2brrbfOUUcd1d5nzjk/XXn3u9+du+++O7/61a9y0UUX5cYbb8zUqVPz2muvZejQodl0002zww47ZI899siHPvShHmcqHMiWWWaZ/OAHP8hRRx2V008/Pf/zP/+TRx55JNOmTctKK62U4cOH5z3veU8OPPDAuSaj6GzLLbfMpEmT8tvf/jYXXHBB+3f85ZdfzkorrZSNNtoob3/727P77rtnn332yaqrrtrHzxJY0pW6GGaeWhLstNNOdeLEif1dBkCf+NrXvtYe+nfhhRdmzJgx/VsQvTZixIhMnjw5K6+8cp577rmFuq4XAItUt2/IjkQBDHAzZsxoTygxbNiwfPjDH+7niuit66+/vj15yahRowQo+s3xxx+fJ554Iuuss07+5V/+pb/LgSWe2fkABrhTTjkljz/+eJLkqKOOal83iv5122239TiD4R133JGPfexj7fuf/exn+6Is6NITTzyRRx99NE888UR/lwIDgr+0AAPMs88+mwkTJmT69Om54YYb8m//9m9JktVXXz2f+9zn+rk65hg/fnxOPPHEjB49Ou95z3uy8cYbZ5lllslTTz2Va665JhdeeGH72lUf+chH2tP9A7DkE6IABphbbrnlDR+4Syn58Y9/nKFDh/ZTVXTltddey8UXXzzXNP3zOuigg1xbCGCAEaIABrA11lgjb3/72/P1r389u+66a3+XQydHHHFE1l133Vx++eW57bbb8vTTT+f555/PkCFDsu6662bkyJE57LDDup1BDoAllxAFMMCMGjUqb9aZVd9M1lprrYwdOzZjx47t71IAWMRMLAEAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANCAEAUAANDAYgtRpZSflFKeKqXc1mndaqWUP5RS7ml9XbXTtq+UUu4tpdxdSvlAp/UjSim3tradXEopi6tmAACA+VmcR6LOTLLXPOu+nOSKWuvmSa5o3U8pZeskByfZprXPD0spg1r7/CjJEUk2b93m7RMAAKDPLLYQVWu9Jsmz86zeN8lZreWzkozptP6cWuv0WusDSe5N8s5SyrpJhtZar6+11iQ/7bQPAABAn+vrc6LWrrU+niStr2u11g9L8kindlNa64a1luddDwAA0C+WlIklujrPqfawvutOSjmilDKxlDJx6tSpi6w4AACAOfo6RD3ZGqKX1tenWuunJNmgU7v1kzzWWr9+F+u7VGs9tda6U611pzXXXHORFg4AAJD0fYi6KMmhreVDk/ym0/qDSymDSymbpGMCiQmtIX/TSinvbs3K98lO+wAAAPS5pRdXx6WUXyYZlWSNUsqUJN9M8p0k55ZSxiZ5OMmBSVJrvb2Ucm6SO5LMSnJMrXV2q6uj0jHT35Akl7ZuAAAA/WKxhaha68e62TS6m/YnJjmxi/UTk2y7CEsDAABYYEvKxBIAAAADghAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQwNL9XQAAMLeH/992/V0CbzGznl0tydKZ9exDfv7oUxt+49b+LmGBOBIFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQQL+EqFLK50spt5dSbiul/LKUslwpZbVSyh9KKfe0vq7aqf1XSin3llLuLqV8oD9qBgAASPohRJVShiX5/5LsVGvdNsmgJAcn+XKSK2qtmye5onU/pZStW9u3SbJXkh+WUgb1dd0AAABJ/w3nWzrJkFLK0kmWT/JYkn2TnNXaflaSMa3lfZOcU2udXmt9IMm9Sd7Zt+UCAAB06PMQVWt9NMn3kjyc5PEkL9Raf59k7Vrr4602jydZq7XLsCSPdOpiSmsdAABAn+uP4XyrpuPo0iZJ1kuyQinlkJ526WJd7abvI0opE0spE6dOnbrwxQIAAMyjP4bz7ZHkgVrr1FrrzCQXJHlPkidLKesmSevrU632U5Js0Gn/9dMx/O8Naq2n1lp3qrXutOaaay62JwAAALx19UeIejjJu0spy5dSSpLRSe5MclGSQ1ttDk3ym9byRUkOLqUMLqVskmTzJBP6uGYY0I4//vh88pOfzPHHH9/fpQAADHhL9/UD1lr/VEr5dZLJSWYluSnJqUlWTHJuKWVsOoLWga32t5dSzk1yR6v9MbXW2X1dNwxkTzzxRB599NH+LgMA4E2hz0NUktRav5nkm/Osnp6Oo1JdtT8xyYmLuy4AAID56a8pzgEAAAYkIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKCBpfu7AAAA+tcay72eZFbrKzA/QhQAwFvccds/398lwIBiOB8AAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADS/d3AW9FI7740/4ugbeYlZ6elkFJHn56mp8/+sykkz7Z3yUAwGLhSBQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEADQhQAAEAD8w1RpZTBvVkHAADwVtCbI1HX93IdAADAm163IaqUsk4pZUSSIaWUHUopO7Zuo5IsvzAPWkpZpZTy61LKXaWUO0spu5RSViul/KGUck/r66qd2n+llHJvKeXuUsoHFuaxAQAAFsbSPWz7QJLDkqyf5Pud1k9L8tWFfNz/SHJZrfUjpZRl0xHKvprkilrrd0opX07y5SRfKqVsneTgJNskWS/Jf5dStqi1zl7IGgAAABrrNkTVWs9KclYp5YBa6/mL6gFLKUOTvC8dAS211hlJZpRS9k0yqtXsrCRXJflSkn2TnFNrnZ7kgVLKvUneGUMKAQCAftBtiCqlHFJr/XmSjUspfz/v9lrr97vYrTc2TTI1ybhSytuTTEpybJK1a62Pt/p+vJSyVqv9sCQ3dNp/SmsdAABAn+tpYok55z2tmGSlLm4LaukkOyb5Ua11hyQvp2PoXndKF+tqlw1LOaKUMrGUMnHq1KkLUSIAAEDXejonanjr6x211vMW4WNOSTKl1vqn1v1fpyNEPVlKWbd1FGrdJE91ar9Bp/3XT/JYVx3XWk9NcmqS7LTTTl0GLQAAgIXR05GoD5ZSlknylUX5gLXWJ5I8UkrZsrVqdJI7klyU5NDWukOT/Ka1fFGSg0spg0spmyTZPMmERVkTAABAb/V0JOqyJE8nWaGU8mI6htXVOV9rrUMX4nE/l+Ts1sx89yf5VDoC3bmllLFJHk5yYDoe6PZSyrnpCFqzkhxjZj4AAKC/9DQ73xeTfLGU8pta676L8kFrrTcn2amLTaO7aX9ikhMXZQ0AAAALoqcjUUmSWuu+pZS1k+zcWvWnWqtZGwAAgLekns6JSpKUUg5MxzlIByb5aJIJpZSPLO7CAAAAlkTzPRKV5GtJdq61PpUkpZQ1k/x3OmbVAwAAeEuZ75GoJEvNCVAtz/RyPwAAgDed3hyJuqyUcnmSX7buH5TkksVXEgAAwJKrxxBVSilJTk7HpBJ/lY7pzU+ttV7YB7UBi8jry64w11cAABZcjyGq1lpLKeNrrSOSXNBHNQGL2Mubv7+/SwAAeNPozblNN5RSdp5/MwAAgDe/3pwTtVuSI0spDyZ5OR1D+mqtdfvFWRgAAMCSqDchau/FXgUAAMAA0W2IKqWsleSrSTZLcmuSb9daX+yrwgAAAJZEPZ0T9dN0DN/7zyQrpmOWPgAAgLe0nobzrVNr/YfW8uWllMl9URAAAMCSrKcQVUopq6ZjIokkGdT5fq312cVdHAAAwJKmpxC1cpJJ+b8QlSRzjkbVJJsurqIAAACWVN2GqFrrxn1YBwAAwIDQ0+x8O/a0Y63VOVIAAMBbTk/D+f61h201ye6LuBYAAIAlXk/D+Xbry0IAAAAGgp6ORLWVUrZNsnWS5easq7X+dHEVBQAAsKSab4gqpXwzyah0hKhLkuyd5Np0XIwXAADgLWWpXrT5SJLRSZ6otX4qyduTDF6sVQEAACyhehOiXq21vp5kVillaJKn4hpRAADAW1RvzomaWEpZJclp6bj47ktJJizOogAAAJZU8w1RtdajW4unlFIuSzK01nrL4i0LAABgyTTf4XyllCvmLNdaH6y13tJ5HQAAwFtJt0eiSinLJVk+yRqllFWTlNamoUnW64PaAAAAljg9Def7bJK/S0dgmtxp/YtJfrAYawIAAFhidRuiaq3/keQ/Simfq7X+Zx/WBAAAsMTqzex8Py6l/H9J3te6f1WSH9daZy62qgAAAJZQvQlRP0yyTOtrknwiyY+SfHpxFQUAALCk6mliiaVrrbOS7FxrfXunTf9TSvnz4i8NAABgydPTFOdzLqg7u5QyfM7KUsqmSWYv1qoAAACWUD0N55szpflxSa4spdzfur9xkk8tzqIAAACWVD2FqDVLKX/fWv5xkkFJXk6yXJIdkly5mGsDAABY4vQUogYlWTH/d0QqrftJstJiqwgAAGAJ1lOIerzW+v/6rBIAAIABoKeJJUoP2wAAAN6SegpRo/usCgAAgAGi2xBVa322LwsBAAAYCHo6EgUAAMA8hCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAGhCgAAIAG+i1ElVIGlVJuKqX8rnV/tVLKH0op97S+rtqp7VdKKfeWUu4upXygv2oGAADozyNRxya5s9P9Lye5ota6eZIrWvdTStk6ycFJtkmyV5IfllIG9XGtAAAASfopRJVS1k/yoSSnd1q9b5KzWstnJRnTaf05tdbptdYHktyb5J19VCoAAMBc+utI1L8nOT7J653WrV1rfTxJWl/Xaq0fluSRTu2mtNYBAAD0uT4PUaWUDyd5qtY6qbe7dLGudtP3EaWUiaWUiVOnTl3gGgEAALrTH0eiRibZp5TyYJJzkuxeSvl5kidLKesmSevrU632U5Js0Gn/9ZM81lXHtdZTa6071Vp3WnPNNRdX/QAAwFtYn4eoWutXaq3r11o3TseEEf9Taz0kyUVJDm01OzTJb1rLFyU5uJQyuJSySZLNk0zo47IBAACSJEv3dwGdfCfJuaWUsUkeTnJgktRaby+lnJvkjiSzkhxTa53df2UCAABvZf0aomqtVyW5qrX8TJLR3bQ7McmJfVYYAABAN/rzOlEAAAADjhAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQgBAFAADQQJ+HqFLKBqWUK0spd5ZSbi+lHNtav1op5Q+llHtaX1fttM9XSin3llLuLqV8oK9rBgAAmKM/jkTNSvKFWutWSd6d5JhSytZJvpzkilrr5kmuaN1Pa9vBSbZJsleSH5ZSBvVD3QAAAH0fomqtj9daJ7eWpyW5M8mwJPsmOavV7KwkY1rL+yY5p9Y6vdb6QJJ7k7yzT4sGAABo6ddzokopGyfZIcmfkqxda3086QhaSdZqNRuW5JFOu01prQMAAOhz/RaiSikrJjk/yd/VWl/sqWkX62o3fR5RSplYSpk4derURVEmAADAXPolRJVSlklHgDq71npBa/WTpZR1W9vXTfJUa/2UJBt02n39JI911W+t9dRa60611p3WXHPNxVM8AADwltYfs/OVJGckubPW+v1Omy5Kcmhr+dAkv+m0/uBSyuBSyiZJNk8yoa/qBQAA6GzpfnjMkUk+keTWUsrNrXVfTfKdJOeWUsYmeTjJgUlSa729lHJukjvSMbPfMbXW2X1eNQAAQPohRNVar03X5zklyehu9jkxyYmLrSgAAIBe6tfZ+QAAAAYaIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKABIQoAAKCBAROiSil7lVLuLqXcW0r5cn/XAwAAvDUNiBBVShmU5AdJ9k6ydZKPlVK27t+qAACAt6IBEaKSvDPJvbXW+2utM5Kck2Tffq4JAAB4CxooIWpYkkc63Z/SWgcAANCnlu7vAnqpdLGuvqFRKUckOaJ196VSyt2LtSoYWNZI8nR/F8FbR/neof1dAtCMvxP0vW929TF/iXFZrXWvrjYMlBA1JckGne6vn+SxeRvVWk9NcmpfFQUDSSllYq11p/6uA4Alk78T0HsDZTjfjUk2L6VsUkpZNsnBSS7q55oAAIC3oAFxJKrWOquU8rdJLk8yKMlPaq2393NZAADAW9CACFFJUmu9JMkl/V0HDGCGugLQE38noJdKrW+YnwEAAIBuDJRzogAAAJYIA2Y4HzC3UsrsJLd2WjWm1vpgN21fqrWu2CeFAbDEKKWsnuSK1t11ksxOMrV1/5211hn9UhgMcIbzwQDVJBgJUQCUUk5I8lKt9Xud1i1da53Vf1XBwGQ4H7xJlFJWLKVcUUqZXEq5tZSybxdt1i2lXFNKubmUclsp5b2t9e8vpVzf2ve8UorABfAmVUo5s5Ty/VLKlUm+W0o5oZRyXKftt5VSNm4tH1JKmdD6u/HjUsqg/qobliRCFAxcQ1p/1G4upVyY5LUk+9Vad0yyW5J/LaXMexnwv0lyea31HUnenuTmUsoaSb6WZI/WvhOT/H2fPQsA+sMW6Xjf/0J3DUopWyU5KMnI1t+N2Uk+3jflwZLNOVEwcL3a+qOWJCmlLJPkW6WU9yV5PcmwJGsneaLTPjcm+Umr7fha682llF2TbJ3kj63MtWyS6/vmKQDQT86rtc6eT5vRSUYkubH192FIkqcWd2EwEAhR8Obx8SRrJhlRa51ZSnkwyXKdG9Rar2mFrA8l+Vkp5aQkzyX5Q631Y31dMAD95uVOy7My9+ikOX87SpKzaq1f6bOqYIAwnA/ePFZO8lQrQO2WZKN5G5RSNmq1OS3JGUl2THJDkpGllM1abZYvpWzRh3UD0L8eTMffg5RSdkyySWv9FUk+UkpZq7VttdbfEXjLcyQK3jzOTvLbUsrEJDcnuauLNqOSfLGUMjPJS0k+WWudWko5LMkvSymDW+2+luQvi71iAJYE5yf5ZCnl5nQM+/5LktRa7yilfC3J70spSyWZmeSYJA/1V6GwpDDFOQAAQAOG8wEAADQgRAEAADQgRAEAADQgRAEAADQgRAEAADQgRAHQZ0op65RSziml3FdKuaOUckkpZYtSyqhSyu/6u74kKaWcWUp5oJRycyllcilll27a/b9Syh4L0P9flVImlVJuL6X8ptOlBQAYIIQoAPpEKaUkuTDJVbXW4bXWrZN8Ncna/VtZl75Ya31Hki8n+fG8G0spg2qt36i1/vcC9P1akr1rrdskeSXJgQtVKQB9TogCoK/slmRmrfWUOStqrTfXWv+3dXfFUsqvSyl3lVLOboWulFK+UUq5sZRyWynl1E7rryqlfLeUMqGU8pdSyntb65cvpZxbSrmllPKrUsqfSik7tba9v5RyfesI03mllBXnU/M1STZr7ftgq5ZrkxzYOmL1kda2nUsp15VS/tyqZ6VSyqBSykmt2m8ppXy29Zwn1lqfavW/XDpCFQADiBAFQF/ZNsmkHrbvkOTvkmydZNMkI1vr/6vWunOtddskQ5J8uNM+S9da39na75utdUcnea7Wun2Sf0oyIklKKWsk+VqSPWqtOyaZmOTv51PzXye5tdP912qtf1VrPWfOilLKskl+leTYWuvbk+yR5NUkY5O8UGvdOcnOST5TStmk035j03EU7jfzqQGAJczS/V0AALRMqLVOSZJSys1JNk5ybZLdSinHJ1k+yWpJbk/y29Y+F7S+Tmq1T5K/SvIfSVJrva2Ucktr/bvTEdD+2DqYtWyS67up5aRSyteSTE1HGJrjV1203TLJ47XWG1uP+WLrObw/yfZzjlYlWTnJ5kkeKKWsmY7Qt2OtdWa3rwgASyQhCoC+cnuSj/SwfXqn5dlJli6lLJfkh0l2qrU+Uko5IR1D4ObdZ3b+729a6ab/kuQPtdaP9aLWL9Zaf93F+pe76bd2s/5ztdbLu9i2ZZJba61P96IWAJYwhvMB0Ff+J8ngUspn5qxonUu0aw/7zAlMT7fOX+ophM1xbZKPtvrfOsl2rfU3JBlZSplzjtPypZQtGj6HrtyVZL1Sys6tflcqpSyd5PIkR5VSlmmt36KUskJrn78k+c4ieGwA+oEQBUCfqLXWJPsl2bM1xfntSU5I8lgP+zyf5LR0nJc0PsmNvXioHyZZszWM70tJbknHuUlTkxyW5JetbTckedsCPp3ONc5IclCS/yyl/DnJH9IR/k5PckeSyaWU29Ixy9+co2Ubxqx8AANW6fibBgBvDqWUQUmWqbW+VkoZnuSKJFu0wg4ALDTnRAHwZrN8kitbw+hKkqMEKAAWJUeiAAAAGnBOFAAAQANCFAAAQANCFAAAQANCFAAAQANCFAAAQANCFAAAQAP/P+A3qONFz5rgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Change Price?', y='TotalProfit', kind=\"bar\", height=8.27, aspect=11.7/8.27)\n",
    "g.fig.suptitle('Profit by Change Price?', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Change Price?', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "g.fig.suptitle('Cost of Units Remaining by Change Price?', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # plot catplot\n",
    "# g = sns.catplot(x=\"Buy It Now Price\", y=\"Sold Quantity\", hue=\"Subcategory\", col=\"Category\", data=clean_df)\n",
    "\n",
    "# # set rotation\n",
    "# g.set_xticklabels(rotation=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lights"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Lights\",kind=\"count\", data=clean_df,  height=8.27, aspect=11.7/8.27 );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Lights', y='TotalProfit', kind=\"bar\", height=8.27, aspect=11.7/8.27)\n",
    "g.fig.suptitle('Profit by Lights', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Lights', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "g.fig.suptitle('Cost of Units Remaining by Lights', fontsize=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Hood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Hood\",kind=\"count\", data=clean_df,  height=8.27, aspect=11.7/8.27 );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Hood', y='TotalProfit', kind=\"bar\", height=8.27, aspect=11.7/8.27)\n",
    "g.fig.suptitle('Profit by Hood', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Hood', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "g.fig.suptitle('Cost of Units Remaining by Hood', fontsize=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Image Count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(x=\"Image Count\",kind=\"count\", data=clean_df,  height=8.27, aspect=11.7/8.27 );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Image Count', y='TotalProfit', kind=\"bar\", height=8.27, aspect=11.7/8.27)\n",
    "g.fig.suptitle('Profit by Image Count', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1080x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Image Count', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=15/8.27)\n",
    "g.fig.suptitle('Cost of Units Remaining by Image Count', fontsize=30);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Buy It Now Price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g= sns.catplot(data=clean_df, x='Buy It Now Price', y='TotalProfit', kind=\"bar\", height=8.27, aspect=11.7/8.27)\n",
    "g.fig.suptitle('Profit by Price', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 842.4x595.44 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g=sns.catplot(data=clean_df, x='Buy It Now Price', y='Cost of Total Units Remaining', kind=\"bar\", height=8.27, aspect=11.7/8.27)\n",
    "g.fig.suptitle('Cost of Units Remaining by Price', fontsize=30);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "False    300\n",
      "True     130\n",
      "Name: Change Price?, dtype: int64\n",
      "Pop culture    162\n",
      "Comedy          63\n",
      "Cute            58\n",
      "Costume         47\n",
      "Religious       40\n",
      "Alcohol         37\n",
      "Naughty         14\n",
      "3D Pop out       9\n",
      "Name: Category, dtype: int64\n",
      "Santa              118\n",
      "Reindeer            66\n",
      "Elf                 43\n",
      "Jesus               33\n",
      "Dog                 29\n",
      "Cat                 16\n",
      "Polar bear          14\n",
      "Skull               12\n",
      "Mrs. Claus          10\n",
      "Penguins             9\n",
      "Gingerbread man      8\n",
      "Menorah              7\n",
      "Sleigh               7\n",
      "Giraffe              7\n",
      "Tv Show              7\n",
      "Dinosaur             7\n",
      "Tree                 6\n",
      "Snowman              6\n",
      "Llama                5\n",
      "Wine                 5\n",
      "Godzilla             5\n",
      "Fireplace            5\n",
      "Tuxedo               2\n",
      "Yeti                 2\n",
      "Internet             1\n",
      "Name: Character, dtype: int64\n",
      "black         169\n",
      "red            96\n",
      "blue           48\n",
      "green          42\n",
      "grey           23\n",
      "multicolor     13\n",
      "yellow         12\n",
      "white          11\n",
      "turquoise       6\n",
      "orange          5\n",
      "purple          5\n",
      "Name: Color, dtype: int64\n",
      "Men's Sweater      361\n",
      "Women's Sweater     61\n",
      "Dog Sweater          8\n",
      "Name: Classification, dtype: int64\n",
      "0    416\n",
      "1     14\n",
      "Name: Hood, dtype: int64\n",
      "0    333\n",
      "1     97\n",
      "Name: Lights, dtype: int64\n",
      "Small       85\n",
      "Medium      75\n",
      "Large       74\n",
      "XX-Large    61\n",
      "X-Large     59\n",
      "3X-Large    35\n",
      "4X-Large    34\n",
      "X-Small      6\n",
      "2X Tall      1\n",
      "Name: AMZSize, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "from collections import Counter\n",
    "cat=['Change Price?', 'Category', 'Character', 'Color', 'Classification', 'Hood', 'Lights',\n",
    "       'AMZSize']\n",
    "for i in cat:\n",
    "    counts=pd.value_counts(clean_df[i])\n",
    "    print(counts)\n",
    "# Counter(clean_df.cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>Change Price?</th>\n",
       "      <th>Category</th>\n",
       "      <th>Character</th>\n",
       "      <th>Color</th>\n",
       "      <th>Classification</th>\n",
       "      <th>Hood</th>\n",
       "      <th>Lights</th>\n",
       "      <th>AMZSize</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>False</th>\n",
       "      <td>300.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>416.0</td>\n",
       "      <td>333.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>True</th>\n",
       "      <td>130.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2X Tall</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3D Pop out</th>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3X-Large</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4X-Large</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alcohol</th>\n",
       "      <td>NaN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cat</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Comedy</th>\n",
       "      <td>NaN</td>\n",
       "      <td>63.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Costume</th>\n",
       "      <td>NaN</td>\n",
       "      <td>47.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cute</th>\n",
       "      <td>NaN</td>\n",
       "      <td>58.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dinosaur</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dog</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dog Sweater</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elf</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fireplace</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gingerbread man</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Giraffe</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Godzilla</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Internet</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jesus</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>33.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Large</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Llama</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Medium</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Men's Sweater</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>361.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Menorah</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mrs. Claus</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Naughty</th>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Penguins</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Polar bear</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pop culture</th>\n",
       "      <td>NaN</td>\n",
       "      <td>162.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reindeer</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Religious</th>\n",
       "      <td>NaN</td>\n",
       "      <td>40.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Santa</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>118.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skull</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sleigh</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Small</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snowman</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tree</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tuxedo</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tv Show</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wine</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Women's Sweater</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>X-Large</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>X-Small</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XX-Large</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yeti</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>black</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>169.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>blue</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>green</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grey</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>multicolor</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>orange</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purple</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>red</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>turquoise</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>white</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>yellow</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Change Price?  Category  Character  Color  Classification  \\\n",
       "False                    300.0       NaN        NaN    NaN             NaN   \n",
       "True                     130.0       NaN        NaN    NaN             NaN   \n",
       "2X Tall                    NaN       NaN        NaN    NaN             NaN   \n",
       "3D Pop out                 NaN       9.0        NaN    NaN             NaN   \n",
       "3X-Large                   NaN       NaN        NaN    NaN             NaN   \n",
       "4X-Large                   NaN       NaN        NaN    NaN             NaN   \n",
       "Alcohol                    NaN      37.0        NaN    NaN             NaN   \n",
       "Cat                        NaN       NaN       16.0    NaN             NaN   \n",
       "Comedy                     NaN      63.0        NaN    NaN             NaN   \n",
       "Costume                    NaN      47.0        NaN    NaN             NaN   \n",
       "Cute                       NaN      58.0        NaN    NaN             NaN   \n",
       "Dinosaur                   NaN       NaN        7.0    NaN             NaN   \n",
       "Dog                        NaN       NaN       29.0    NaN             NaN   \n",
       "Dog Sweater                NaN       NaN        NaN    NaN             8.0   \n",
       "Elf                        NaN       NaN       43.0    NaN             NaN   \n",
       "Fireplace                  NaN       NaN        5.0    NaN             NaN   \n",
       "Gingerbread man            NaN       NaN        8.0    NaN             NaN   \n",
       "Giraffe                    NaN       NaN        7.0    NaN             NaN   \n",
       "Godzilla                   NaN       NaN        5.0    NaN             NaN   \n",
       "Internet                   NaN       NaN        1.0    NaN             NaN   \n",
       "Jesus                      NaN       NaN       33.0    NaN             NaN   \n",
       "Large                      NaN       NaN        NaN    NaN             NaN   \n",
       "Llama                      NaN       NaN        5.0    NaN             NaN   \n",
       "Medium                     NaN       NaN        NaN    NaN             NaN   \n",
       "Men's Sweater              NaN       NaN        NaN    NaN           361.0   \n",
       "Menorah                    NaN       NaN        7.0    NaN             NaN   \n",
       "Mrs. Claus                 NaN       NaN       10.0    NaN             NaN   \n",
       "Naughty                    NaN      14.0        NaN    NaN             NaN   \n",
       "Penguins                   NaN       NaN        9.0    NaN             NaN   \n",
       "Polar bear                 NaN       NaN       14.0    NaN             NaN   \n",
       "Pop culture                NaN     162.0        NaN    NaN             NaN   \n",
       "Reindeer                   NaN       NaN       66.0    NaN             NaN   \n",
       "Religious                  NaN      40.0        NaN    NaN             NaN   \n",
       "Santa                      NaN       NaN      118.0    NaN             NaN   \n",
       "Skull                      NaN       NaN       12.0    NaN             NaN   \n",
       "Sleigh                     NaN       NaN        7.0    NaN             NaN   \n",
       "Small                      NaN       NaN        NaN    NaN             NaN   \n",
       "Snowman                    NaN       NaN        6.0    NaN             NaN   \n",
       "Tree                       NaN       NaN        6.0    NaN             NaN   \n",
       "Tuxedo                     NaN       NaN        2.0    NaN             NaN   \n",
       "Tv Show                    NaN       NaN        7.0    NaN             NaN   \n",
       "Wine                       NaN       NaN        5.0    NaN             NaN   \n",
       "Women's Sweater            NaN       NaN        NaN    NaN            61.0   \n",
       "X-Large                    NaN       NaN        NaN    NaN             NaN   \n",
       "X-Small                    NaN       NaN        NaN    NaN             NaN   \n",
       "XX-Large                   NaN       NaN        NaN    NaN             NaN   \n",
       "Yeti                       NaN       NaN        2.0    NaN             NaN   \n",
       "black                      NaN       NaN        NaN  169.0             NaN   \n",
       "blue                       NaN       NaN        NaN   48.0             NaN   \n",
       "green                      NaN       NaN        NaN   42.0             NaN   \n",
       "grey                       NaN       NaN        NaN   23.0             NaN   \n",
       "multicolor                 NaN       NaN        NaN   13.0             NaN   \n",
       "orange                     NaN       NaN        NaN    5.0             NaN   \n",
       "purple                     NaN       NaN        NaN    5.0             NaN   \n",
       "red                        NaN       NaN        NaN   96.0             NaN   \n",
       "turquoise                  NaN       NaN        NaN    6.0             NaN   \n",
       "white                      NaN       NaN        NaN   11.0             NaN   \n",
       "yellow                     NaN       NaN        NaN   12.0             NaN   \n",
       "\n",
       "                  Hood  Lights  AMZSize  \n",
       "False            416.0   333.0      NaN  \n",
       "True              14.0    97.0      NaN  \n",
       "2X Tall            NaN     NaN      1.0  \n",
       "3D Pop out         NaN     NaN      NaN  \n",
       "3X-Large           NaN     NaN     35.0  \n",
       "4X-Large           NaN     NaN     34.0  \n",
       "Alcohol            NaN     NaN      NaN  \n",
       "Cat                NaN     NaN      NaN  \n",
       "Comedy             NaN     NaN      NaN  \n",
       "Costume            NaN     NaN      NaN  \n",
       "Cute               NaN     NaN      NaN  \n",
       "Dinosaur           NaN     NaN      NaN  \n",
       "Dog                NaN     NaN      NaN  \n",
       "Dog Sweater        NaN     NaN      NaN  \n",
       "Elf                NaN     NaN      NaN  \n",
       "Fireplace          NaN     NaN      NaN  \n",
       "Gingerbread man    NaN     NaN      NaN  \n",
       "Giraffe            NaN     NaN      NaN  \n",
       "Godzilla           NaN     NaN      NaN  \n",
       "Internet           NaN     NaN      NaN  \n",
       "Jesus              NaN     NaN      NaN  \n",
       "Large              NaN     NaN     74.0  \n",
       "Llama              NaN     NaN      NaN  \n",
       "Medium             NaN     NaN     75.0  \n",
       "Men's Sweater      NaN     NaN      NaN  \n",
       "Menorah            NaN     NaN      NaN  \n",
       "Mrs. Claus         NaN     NaN      NaN  \n",
       "Naughty            NaN     NaN      NaN  \n",
       "Penguins           NaN     NaN      NaN  \n",
       "Polar bear         NaN     NaN      NaN  \n",
       "Pop culture        NaN     NaN      NaN  \n",
       "Reindeer           NaN     NaN      NaN  \n",
       "Religious          NaN     NaN      NaN  \n",
       "Santa              NaN     NaN      NaN  \n",
       "Skull              NaN     NaN      NaN  \n",
       "Sleigh             NaN     NaN      NaN  \n",
       "Small              NaN     NaN     85.0  \n",
       "Snowman            NaN     NaN      NaN  \n",
       "Tree               NaN     NaN      NaN  \n",
       "Tuxedo             NaN     NaN      NaN  \n",
       "Tv Show            NaN     NaN      NaN  \n",
       "Wine               NaN     NaN      NaN  \n",
       "Women's Sweater    NaN     NaN      NaN  \n",
       "X-Large            NaN     NaN     59.0  \n",
       "X-Small            NaN     NaN      6.0  \n",
       "XX-Large           NaN     NaN     61.0  \n",
       "Yeti               NaN     NaN      NaN  \n",
       "black              NaN     NaN      NaN  \n",
       "blue               NaN     NaN      NaN  \n",
       "green              NaN     NaN      NaN  \n",
       "grey               NaN     NaN      NaN  \n",
       "multicolor         NaN     NaN      NaN  \n",
       "orange             NaN     NaN      NaN  \n",
       "purple             NaN     NaN      NaN  \n",
       "red                NaN     NaN      NaN  \n",
       "turquoise          NaN     NaN      NaN  \n",
       "white              NaN     NaN      NaN  \n",
       "yellow             NaN     NaN      NaN  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clean_df[cat].apply(pd.Series.value_counts)\n",
    "# df.apply(pd.Series.value_counts)"
   ]
  }
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