CP -- Bar Plot.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1e4ba9ba",
   "metadata": {},
   "source": [
    "# Bar Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "99c1dd47",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8b430c79",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['anagrams',\n",
       " 'anscombe',\n",
       " 'attention',\n",
       " 'brain_networks',\n",
       " 'car_crashes',\n",
       " 'diamonds',\n",
       " 'dots',\n",
       " 'dowjones',\n",
       " 'exercise',\n",
       " 'flights',\n",
       " 'fmri',\n",
       " 'geyser',\n",
       " 'glue',\n",
       " 'healthexp',\n",
       " 'iris',\n",
       " 'mpg',\n",
       " 'penguins',\n",
       " 'planets',\n",
       " 'seaice',\n",
       " 'taxis',\n",
       " 'tips',\n",
       " 'titanic']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sns.get_dataset_names()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7318399f",
   "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>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>fare</th>\n",
       "      <th>embarked</th>\n",
       "      <th>class</th>\n",
       "      <th>who</th>\n",
       "      <th>adult_male</th>\n",
       "      <th>deck</th>\n",
       "      <th>embark_town</th>\n",
       "      <th>alive</th>\n",
       "      <th>alone</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>man</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C</td>\n",
       "      <td>First</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>Cherbourg</td>\n",
       "      <td>yes</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   survived  pclass     sex   age  sibsp  parch     fare embarked  class  \\\n",
       "0         0       3    male  22.0      1      0   7.2500        S  Third   \n",
       "1         1       1  female  38.0      1      0  71.2833        C  First   \n",
       "2         1       3  female  26.0      0      0   7.9250        S  Third   \n",
       "\n",
       "     who  adult_male deck  embark_town alive  alone  \n",
       "0    man        True  NaN  Southampton    no  False  \n",
       "1  woman       False    C    Cherbourg   yes  False  \n",
       "2  woman       False  NaN  Southampton   yes   True  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic = sns.load_dataset('titanic')\n",
    "titanic.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e8674005",
   "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>Invoice ID</th>\n",
       "      <th>Branch</th>\n",
       "      <th>City</th>\n",
       "      <th>Customer type</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Product line</th>\n",
       "      <th>Unit price</th>\n",
       "      <th>Quantity</th>\n",
       "      <th>Tax 5%</th>\n",
       "      <th>Total</th>\n",
       "      <th>Date</th>\n",
       "      <th>Time</th>\n",
       "      <th>Payment</th>\n",
       "      <th>cogs</th>\n",
       "      <th>gross margin percentage</th>\n",
       "      <th>gross income</th>\n",
       "      <th>Rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>692-92-5582</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Food_and_beverages</td>\n",
       "      <td>54.84</td>\n",
       "      <td>3</td>\n",
       "      <td>8.226</td>\n",
       "      <td>172.746</td>\n",
       "      <td>2/20/2019</td>\n",
       "      <td>13:27:00</td>\n",
       "      <td>Credit card</td>\n",
       "      <td>164.52</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>8.226</td>\n",
       "      <td>5.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>351-62-0822</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Fashion_accessories</td>\n",
       "      <td>14.48</td>\n",
       "      <td>4</td>\n",
       "      <td>2.896</td>\n",
       "      <td>60.816</td>\n",
       "      <td>2019-06-02 00:00:00</td>\n",
       "      <td>18:07:00</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>57.92</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>2.896</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>529-56-3974</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Member</td>\n",
       "      <td>Male</td>\n",
       "      <td>Electronic_accessories</td>\n",
       "      <td>25.51</td>\n",
       "      <td>4</td>\n",
       "      <td>5.102</td>\n",
       "      <td>107.142</td>\n",
       "      <td>2019-09-03 00:00:00</td>\n",
       "      <td>17:03:00</td>\n",
       "      <td>Cash</td>\n",
       "      <td>102.04</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>5.102</td>\n",
       "      <td>6.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>299-46-1805</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Member</td>\n",
       "      <td>Female</td>\n",
       "      <td>Sports_and_travel</td>\n",
       "      <td>93.72</td>\n",
       "      <td>6</td>\n",
       "      <td>28.116</td>\n",
       "      <td>590.436</td>\n",
       "      <td>1/15/2019</td>\n",
       "      <td>16:19:00</td>\n",
       "      <td>Cash</td>\n",
       "      <td>562.32</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>28.116</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>319-50-3348</td>\n",
       "      <td>B</td>\n",
       "      <td>Mandalay</td>\n",
       "      <td>Normal</td>\n",
       "      <td>Female</td>\n",
       "      <td>Home_and_lifestyle</td>\n",
       "      <td>40.30</td>\n",
       "      <td>2</td>\n",
       "      <td>4.030</td>\n",
       "      <td>84.630</td>\n",
       "      <td>2019-11-03 00:00:00</td>\n",
       "      <td>15:30:00</td>\n",
       "      <td>Ewallet</td>\n",
       "      <td>80.60</td>\n",
       "      <td>4.761905</td>\n",
       "      <td>4.030</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Invoice ID Branch      City Customer type  Gender            Product line  \\\n",
       "0  692-92-5582      B  Mandalay        Member  Female      Food_and_beverages   \n",
       "1  351-62-0822      B  Mandalay        Member  Female     Fashion_accessories   \n",
       "2  529-56-3974      B  Mandalay        Member    Male  Electronic_accessories   \n",
       "3  299-46-1805      B  Mandalay        Member  Female       Sports_and_travel   \n",
       "4  319-50-3348      B  Mandalay        Normal  Female      Home_and_lifestyle   \n",
       "\n",
       "   Unit price  Quantity  Tax 5%    Total                 Date      Time  \\\n",
       "0       54.84         3   8.226  172.746            2/20/2019  13:27:00   \n",
       "1       14.48         4   2.896   60.816  2019-06-02 00:00:00  18:07:00   \n",
       "2       25.51         4   5.102  107.142  2019-09-03 00:00:00  17:03:00   \n",
       "3       93.72         6  28.116  590.436            1/15/2019  16:19:00   \n",
       "4       40.30         2   4.030   84.630  2019-11-03 00:00:00  15:30:00   \n",
       "\n",
       "       Payment    cogs  gross margin percentage  gross income  Rating  \n",
       "0  Credit card  164.52                 4.761905         8.226     5.9  \n",
       "1      Ewallet   57.92                 4.761905         2.896     4.5  \n",
       "2         Cash  102.04                 4.761905         5.102     6.8  \n",
       "3         Cash  562.32                 4.761905        28.116     4.5  \n",
       "4      Ewallet   80.60                 4.761905         4.030     4.4  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mart = pd.read_excel('supermarket_sales.xlsx')\n",
    "mart.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "495ebb4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', data=mart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cb026ee1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', hue='Gender', data=mart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8153b9ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Total', ylabel='Product line'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.barplot(x='Total', y = 'Product line', hue='Gender', data=mart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "dae8b1f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Total', ylabel='Product line'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.barplot(y='Product line', x= 'Total', hue='Gender', data=mart)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9371b3eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Electronic_accessories', 'Fashion_accessories',\n",
       "       'Food_and_beverages', 'Health_and_beauty', 'Home_and_lifestyle',\n",
       "       'Sports_and_travel'], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = mart['Product line'].sort_values()\n",
    "x.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d56ccd27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', hue='Gender', data=mart\n",
    "           , order=['Electronic_accessories', 'Fashion_accessories',\n",
    "       'Food_and_beverages', 'Health_and_beauty', 'Home_and_lifestyle',\n",
    "       'Sports_and_travel'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "69a4a986",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', hue='Gender', data=mart\n",
    "           , order=x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a8db45be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', hue='Gender', data=mart\n",
    "           , order=['Electronic_accessories', 'Fashion_accessories',\n",
    "       'Food_and_beverages', 'Health_and_beauty', 'Home_and_lifestyle',\n",
    "       'Sports_and_travel'], capsize=0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "908de167",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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VEhIiPz8/NWrUSGvWrHGZR25XPpQtW1Zz5syRJFWtWlWSVK9ePTkcDrVo0UJffPGFPD09lZqa6vK+YcOG6Y477ijyet5IFi1aZJ0bR0VF5dgvoqKiNG7cOGvfiYyM1L///W/9+uuv1u+AuLg4bdmyxeV9BbWt/BTU7rLPGdauXZvnOZokvfjiiwoJCZG/v7/69u2rc+fO2dxKrr9ZWrRooUmTJumLL76w9kHp4jnIyJEjValSJfn6+qpx48Yux5y8zjsPHDigli1bSpLKlSsnh8Oh3r17a968eQoODlZ6erpLXbp27apevXrlWdf8zpNw8Tffl19+qZdeekktW7ZUZGSk/vKXv2jUqFG6++67JV38HpoxY4Y6dOggHx8fVa1aVf/6179c5rNjxw7deeed1u+7Rx55xOV3RvZVoxMmTFB4eLhiYmLUokULHTx4UP/4xz+s44RUuN8kuSnMuUR2PV555RWFhYUpODhYAwcOdDmGpKWlqWPHjta6vvfee4XenkXNEFasWKHbbrvNOre55557tH//fmt+TZs21VNPPeWyjF9//VWenp76/PPPJRXc1ko0g2IRHx9vOnfunOd0SWbJkiXGGGNOnz5tqlevbvr06WO2b99udu3aZXr06GFq1Khh0tPTjTHGvPHGG8bb29tMnTrV7N6923z77bdmypQpxhhj0tLSjCQze/Zsk5KSYtLS0owxxowZM8b4+vqadu3ame+++87897//NVlZWaZevXrmtttuM1u2bDGbNm0y9evXN82bN7fqNmbMGOPn52fuu+8+s2PHDvPFF1+Y0NBQ8/TTT1tlmjdvbp544glruFu3biYiIsIsXrzY7N+/36xZs8YsXLiwwO2UkZFhnn32WfPtt9+aH3/80cyfP9+UKVPGfPDBB1aZ/NY9MzPTNGnSxNSuXdusWrXK7N+/33z66adm+fLlxhhjtm/fbvz8/MyUKVPMnj17zFdffWXq1atnevfubYwxZvPmzcbDw8MsWLDAHDhwwHz33Xfm1VdfNcYY8/PPP5vSpUubyZMnm+TkZLN9+3bz+uuvm5MnTxpjjJk8ebIJCAgw77//vvnhhx/MyJEjjaenp9mzZ48xxpjk5GQjyURFRZlFixaZH3/80fz0009m9uzZJjAw0Fq/FStWmICAADNnzhyzf/9+s2rVKhMVFWUSEhKMMcb861//MgEBAWb58uXm4MGD5ptvvjFvv/12gdu2JMirnUyZMsV89tln5scffzRr1641NWrUMI899pg1/e677zZt2rQx27dvtz7z9evXG2OM+fzzz40k07hxY7Nu3Tqzc+dOc/vtt5tmzZpZ7x8zZoypW7euNVzYz/Lmm282S5cuNbt37zZ//etfTWRkpDl//nyB63nkyBHz8ssvm61bt5r9+/eb1157zXh4eJhNmzZZZUaOHGnKlStn5syZY/bt22c2bNhgZs6caYwx5uTJk6ZatWrm9ttvNxs2bDB79+41H3zwgdm4caMx5s/tQ/m1AWOMGTx4sAkPDzfLly83O3fuNPHx8aZcuXLm6NGjLtu7Tp06ZtWqVWbfvn3mt99+y7GN3377bRMWFma1hUWLFpmgoCAzZ84cY4wxL7/8somIiDBffPGFOXDggNmwYYNZsGBBgdu2JMprvz9y5IgpU6aMGTBggElKSjJLliwx5cuXN2PGjLHKFPR5HDp0yDidTvPEE0+YH374wcyfP9+EhIQYSebYsWMF1q0w+2rz5s1NQECASUhIMHv27DFz5841DofDrFq1yhhz8Xs5NjbWtGjRwmzdutWsX7/e1KtXz+W4l5/s9la5cmXz0UcfmV27dpmHH37Y+Pv7m99++80Yc/H7uXz58mbUqFEmKSnJfPfdd6ZNmzamZcuWxhhjjh49ary8vMyaNWus+f7+++/Gy8vLrFy50hhTcLsx5uKxumLFimbWrFlm//795sCBA4U6bo0bN84EBQWZxYsXm6SkJNO/f38TEBDg8rk//fTT5uabbzYrVqww+/fvN7NnzzZOp9OsW7fOGGPMwIEDzS233GI2b95skpOTzerVq80nn3xS4PYr6fJqH9nfNceOHSvw2G6MMbNmzTLLly83+/fvN19//bVp0qSJ6dChQ67zS09PN1OnTjUBAQEmJSXFpKSkWMf6yMhIExQUZF5//XWzd+9eM2HCBFOqVCmTlJRUqPV5/vnnzVdffWWSk5PNJ598YkJCQsxLL71kTS/MOddjjz1mKleubFatWmW2b99u7rnnHuPn5+dyHpafyMhI4+/vbyZMmGB2795ttevsNpuVlWVuvfVW07FjR7N582azZ88eM2zYMBMcHGx9t2zbts28+eabZvv27WbPnj1m9OjRxtvb2xw8eNBaTm5tPDAw0MyePdsYY8y3335rJJk1a9aYlJQUa94xMTFm4sSJ1nvOnz9vKlasaN55551Crd/1pjBtYMuWLaZUqVLmueeeM7t37zazZ882Pj4+1rY25n/77ptvvmn27NljHnvsMePv72/at29vPvzwQ7N7927TpUsXU7NmTZOVlWWMKfi8uSCFbXf5naN98MEHxsvLy8ycOdP88MMPZvTo0cbf39/lnKIo2+/S3yxHjx41/fr1M02bNnXZB3v06GGaNWtmvvjiC7Nv3z7z8ssvG6fTaZ0H5nXeeeHCBbNo0SIjyezevdukpKSYP/74w5w5c8YEBgaaDz/80KrHr7/+ary8vMxnn31mjMl5LlrQeRIufjf4+fmZIUOGmHPnzuVaRpIJDg42M2fONLt37zb//Oc/jYeHh9m1a5cx5uLv7vDwcOs7d+3ataZq1aomPj7emkd8fLzx8/MzDz74oPn+++/Njh07zNGjR03lypXNc889Zx0njMn/N0l+CnMuER8fbwICAkz//v1NUlKS+fTTT02ZMmVcfgd26NDBxMbGmo0bN5otW7aYZs2aGR8fH+u3cn6KmiF89NFHZtGiRWbPnj1m69atpmPHjiYuLs5kZmYaY4yZNm2aqVKlivV9kj2uUqVKVpmC2trlv5NLEoK1YhIfH288PDyMr6+vy+u5554zxriefMyaNcvUqFHDZSdMT083Pj4+1g+A8PBwM3r06DyXl9vJzJgxY4ynp6fVSIwxZtWqVcbDw8McOnTIGrdz504jyXz77bfW+8qUKWNOnDhhlRkxYoRp3LixNXzpQWr37t1Gklm9enURtlDeBgwYYLp27WoN57fuK1euNKVKlTK7d+/OdfqDDz5oHnnkEZdxGzZsMKVKlTJnz541ixYtMgEBAS7rmi0xMdFIMgcOHMh13uHh4eaFF15wGdeoUSMzYMAAY8z/fhxOnTrVpczlXxi33367GT9+vEuZd99914SFhRljjJk0aZKJiYkxGRkZudajJMutnfz1r3/NUe7DDz80wcHB1nBcXJzLj99LZZ+0XfqDetmyZUaSOXv2rDEm58lMYT/L//u//7OmZ7ebwv64utxdd91lhg0bZowx5sSJE8bpdFpB2uXeeust4+/vb50AXu7P7EP5tYFTp04ZT09P895771njMjIyTHh4uPUjKHt7f/zxxy7vvXwbR0RE5AjKnn/+edO0aVNjjDGDBg0yd955p8v34PUqr/3+6aefznEseP31142fn5/JzMws1OcxatQolx9Jxhjz5JNPFjpYy82l+6oxF7//b7vtNpcyjRo1Mk8++aQx5uL3soeHhzl8+LA1/T//+U+Rg7UXX3zRGnf+/HlTuXJlK5B45plnTNu2bV3ed/jwYevHjTHGdOrUyfTp08ea/tZbb5nQ0FBz4cIFY0zB7caYi8fWIUOGFFjny49bISEh5uWXX7aGL1y4YKpUqWL92Dt16pTx9va2wvFsffv2NX/729+MMcZ07NjRPPTQQwUu+3qT1/mTt7e3tR8XdGzPTXaokx2YXRpSGJP3yXxkZKT5+9//bg1nZWWZihUrmhkzZthav4kTJ5oGDRpYwwWdc508edJ4eXm5/LPy6NGjxsfHp0jBWvv27V3Gde/e3Qo81q5dawICAnL8UL3pppvMW2+9led8a9WqZaZNm2YNFxSsZbftrVu3upR56aWXTM2aNa3hjz/+2Pj5+ZlTp04Vav2uN4VpAz169DBt2rRxed+IESNMrVq1rOHL992UlBQjyTzzzDPWuK+//tpIskICO20rP3m1u/zO0Zo2bWr69+/vMp/GjRtfkWDNGGOeeOIJlwsK9u3bZxwOh/npp59c5tOqVSszatQoY0zhzjsvP8Y+9thjLqHi1KlTTbVq1azjc1HPk3DRRx99ZMqVK2e8vb1Ns2bNzKhRo8x///tfa7qkXPef7H/Qv/3226ZcuXIu3y/Lli0zpUqVMqmpqcaYi/tQSEiIdYFLtsjIyByBVX77RlFdfi4RHx9vIiMjrfMWY4y5//77Tffu3Y0x//sNfuk/P5OSkoykQgVrxhQ+Q8hNdjC3Y8cOa7h06dLmiy++sMo0bdrUjBgxwhhTuLZWkoM1bgUtRi1bttS2bdtcXgMHDsxRLjExUfv27ZO/v7/1XKKgoCCdO3dO+/fvV1pamn7++We1atWqyHWIjIx0eW5PUlKSIiIiFBERYY2rVauWypYtq6SkJGtcVFSU/P39reGwsLA8b6HYtm2bPDw81Lx58yLXT5LefPNNNWzYUBUqVJCfn59mzpypQ4cOSVKB675t2zZVrlxZMTExuU5PTEzUnDlzrO3q5+endu3aKSsrS8nJyWrTpo0iIyNVrVo1Pfjgg3rvvfd05swZSVLdunXVqlUrxcXF6f7779fMmTN17NgxSdKJEyf0888/69Zbb3VZ3q233uqyHSWpYcOG+a5/YmKinnvuOZc69uvXTykpKTpz5ozuv/9+nT17VtWqVVO/fv20ZMkSl1uVSrrL28lrr72mzz//XG3atFGlSpXk7++vXr166ejRo9atCIMHD9a4ceN06623asyYMdq+fXuO+dapU8f6OywsTJJy3YeL8lkWdp6Xy8zM1AsvvKA6deooODhYfn5+WrVqlbWfJyUlKT09Pd/9vF69enk+2/DP7EP5tYH9+/fr/PnzLtvG09NTf/nLX4q0n//66686fPiw+vbt61LHcePGWZeQ9+7dW9u2bVONGjU0ePBgrVq1qsDtWpLltt8nJSWpadOm1u0F0sX98NSpUzpy5EihPo+kpCQ1adLEZR5NmzYtdL0K2lezXdoWJNdjRFJSkqpUqaLKlSvbqkNu7yldurQaNmxorWdiYqI+//xzl/3p5ptvliRrn+rZs6cWLVpk3Yrz3nvv6YEHHpCHh4c1j/zaTbbc9u38jlvHjx/XL7/8or/85S9WeQ8PDzVo0MAa3rVrl86dO6c2bdq4LH/evHlW/R977DEtXLhQt9xyi0aOHKmNGzcWeRuWVLmdP/3f//2fNb2gY7skbd26VZ07d1ZkZKT8/f2tW74u35cL49L93eFwKDQ0tFDf/dLFR0rcdtttCg0NlZ+fn5555pkcdcjvnGv//v3KyMhwaQ9BQUGqUaNGkdbh8jbYtGlTl/Z06tQpq81nv5KTk6398fTp0xo5cqR1zujn56cffvjB1va8XO/evbVv3z5t2rRJ0sXHf3Tr1k2+vr5/et4lVUFtICkpKdfzlr179yozM9Mad+m+GxISIkmKi4vLMS57fytM28pPYdtdfudT2cfCS9k5hhTWd999J2OMYmJiXNZ7/fr11v5fmPPOy/Xr10+rVq3STz/9JOnibZ7ZnRddrjDnSbioa9eu+vnnn/XJJ5+oXbt2WrdunerXr2/dci7l/32XlJSkunXruny/3HrrrcrKynK5JTkuLq5Qz1Wzs29ky+9cIlvt2rWt8xYp5/lW9vlRtptvvvmKdMRzeYYgXTwe9ejRQ9WqVVNAQIB1e392nStUqKA2bdpYt6MmJyfr66+/Vs+ePSUVrq2VZHReUIx8fX0VHR1dYLmsrCw1aNAg13uiK1SooFKl7Oefl5+UGGNy/UK/fPzlDyh0OBw5nlWT7c88iP/DDz/UP/7xD02aNElNmzaVv7+/Xn75ZevZUQXNu6DpWVlZevTRR3N9JlmVKlXk5eWl7777TuvWrdOqVav07LPPKiEhQZs3b1bZsmW1evVqbdy4UatWrdK0adM0evRoffPNNwoODpakHNsyt+1b0IlhVlaWxo4dq/vuuy/HNG9vb0VERGj37t1avXq11qxZowEDBujll1/W+vXrr4sHSV7eTg4ePKi77rpL/fv31/PPP6+goCB9+eWX6tu3r/VMgYcffljt2rXTsmXLtGrVKk2YMEGTJk3SoEGDrPlcum2yP5O89uFLy2TL7bMs6jyzTZo0SVOmTNHUqVOtZ8cNGTJEGRkZkq7Mfm53H/L398+zDRhjXNY1W1H38+xtNHPmTDVu3NhlWvbJQv369ZWcnKz//Oc/WrNmjbp166bWrVu7PHPqepLb8SG37XrpZ1CYzyO7jF0F7avZ8jtG5FaH3I47dlza7jp27KiXXnopR5nsH2kdO3ZUVlaWli1bpkaNGmnDhg2aPHmyVa6gdpPt8n27oOPW5XXNdul2yd5Wy5YtU6VKlVzKZXdy1KFDBx08eFDLli3TmjVr1KpVKw0cOFCvvPJKHlvn+pFb+zhy5Ij1d0HH9tOnT6tt27Zq27at5s+frwoVKujQoUNq165djn25MIpyTnSpTZs26YEHHtDYsWPVrl07BQYGauHChTmehVXU9nSlXNqewsLCcn3OTfYPtBEjRmjlypV65ZVXFB0dLR8fH/31r3912Z6Xfk9lu/RZQHmpWLGiOnbsqNmzZ6tatWpavnz59fPMHZsKagP5HS8uldt5S37nMgW1rfwUpd3ZPZ8qDllZWfLw8FBiYqJLgCHJ6oSpMOedl6tXr57q1q2refPmqV27dtqxY4c+/fTTPOsg5X+ehP/x9vZWmzZt1KZNGz377LN6+OGHNWbMGPXu3TvP91x6npTXOcml4wsb7NvZN6TCn0sU5vhwpc6xLpXb+nfs2FERERGaOXOmwsPDlZWVpdjYWJf23bNnTz3xxBOaNm2aFixYoNq1a6tu3bqSCtfWSjKuWLsG1K9fX3v37lXFihUVHR3t8goMDJS/v7+ioqK0du3aPOfh6enp8h+qvNSqVUuHDh3S4cOHrXG7du3S8ePHVbNmTVv1j4uLU1ZWltavX1/k927YsEHNmjXTgAEDVK9ePUVHR7sk1gWte506dXTkyBHt2bMn1+n169fXzp07c2zX6Oho678QpUuXVuvWrTVx4kRt375dBw4c0GeffSbp4hfVrbfeqrFjx2rr1q3y8vLSkiVLFBAQoPDwcH355Zcuy9u4cWORt2P9+vW1e/fuXOuYHar6+PioU6dOeu2117Ru3Tp9/fXX2rFjR5GWU1Js2bJFFy5c0KRJk9SkSRPFxMTo559/zlEuIiJC/fv31+LFizVs2DDNnDnT1vKu5GeZlw0bNqhz5876+9//rrp166patWrau3evNb169ery8fHJdz/ftm1bnj0e/dl9KK82kN1OLt0258+f15YtW4q0bUJCQlSpUiX9+OOPOeqX/d8u6eJn0b17d82cOVMffPCBFi1aVKy9PF1ratWqpY0bN7r8ONq4caP8/f1VqVKlQn0etWrVsq76yHb5cH4K2lcLux6HDh1yabeF7ejjUpfW+8KFC0pMTLSuSsv+bo+KisqxT2WfDPr4+Oi+++7Te++9p/fff18xMTEuV40Vpt3kpqDjVmBgoEJCQvTtt99a4zIzM7V161aXbeR0OnXo0KEcy770ivIKFSqod+/emj9/vqZOnVqkh+Zfzwo6tv/www/67bff9OKLL+r222/XzTffXOAVZl5eXoU6jyqKr776SpGRkRo9erQaNmyo6tWr6+DBg0WaR3R0tDw9PV3aw7Fjx/I878lLbt8Ll7an1NRUlS5dOsf2LF++vKSL+33v3r117733Ki4uTqGhoTk6RqlQoYJSUlKs4b1797pc/Zl93pXbdn744Ye1cOFCvfXWW7rppptyXI0FV7Vq1cr1vCUmJuZPBTGFOW/Oi512l5uaNWv+qeNYUdWrV0+ZmZlKS0vLsc6hoaFWubzOOwvar2fPnq133nlHrVu3dvl+v1Rhz5OQu1q1arl0sJHf912tWrW0bds2l/JfffWVSpUqlecdUNnyOk7Y+U1S0LlEYdSsWVMXLlxw6YBk9+7d+uOPPwo9j8JmCEePHlVSUpL++c9/qlWrVqpZs6Z1J9elunTponPnzmnFihVasGCB/v73v1vTCtvWSiquWCtG6enpOXo5Kl26tHWSkq1nz556+eWX1blzZ6tnwkOHDmnx4sUaMWKEKleurISEBPXv318VK1ZUhw4ddPLkSX311VdWGp4dPt16661yOp159j7aunVr1alTRz179tTUqVN14cIFDRgwQM2bNy/wlsW8REVFKT4+Xn369NFrr72munXr6uDBg0pLS1O3bt3yfW90dLTmzZunlStXqmrVqnr33Xe1efNml4NIfuvevHlz3XHHHeratasmT56s6Oho/fDDD3I4HGrfvr2efPJJNWnSRAMHDlS/fv3k6+urpKQkrV69WtOmTdPSpUv1448/6o477lC5cuW0fPlyZWVlqUaNGvrmm2+0du1atW3bVhUrVtQ333yjX3/91foBO2LECI0ZM0Y33XSTbrnlFs2ePVvbtm0rUm8skvTss8/qnnvuUUREhO6//36VKlVK27dv144dOzRu3DjNmTNHmZmZaty4scqUKaN3331XPj4+ioyMLPqHVQLcdNNNunDhgqZNm6aOHTvqq6++0ptvvulSZsiQIerQoYNiYmJ07NgxffbZZ38qBLtSn2VeoqOjtWjRIm3cuFHlypXT5MmTlZqaatXZ29tbTz75pEaOHCkvLy/deuut+vXXX7Vz50717dtXf/vb3zR+/Hirh6KwsDBt3bpV4eHhatq06Z/ah/JrA76+vnrsscc0YsQIBQUFqUqVKpo4caLOnDmjvn37FmkbJCQkaPDgwQoICFCHDh2Unp6uLVu26NixYxo6dKimTJmisLAw3XLLLSpVqpT+9a9/KTQ09Ipczl5SDBgwQFOnTtWgQYP0+OOPa/fu3RozZoyGDh2qUqVKFerz6N+/vyZNmqShQ4fq0UcftW7rKayC9tXCaN26tWrUqKFevXpp0qRJOnHihEaPHl3UzaHXX39d1atXV82aNTVlyhQdO3ZMffr0kSQNHDhQM2fO1N/+9jeNGDFC5cuX1759+7Rw4ULNnDnT+mHZs2dPdezYUTt37nQ5uZMK/u7NbxsVdNwaNGiQJkyYoOjoaN18882aNm2ajh07Zv1X2d/fX8OHD9c//vEPZWVl6bbbbtOJEye0ceNG+fn5KT4+Xs8++6waNGig2rVrKz09XUuXLr1iYX9JV9CxPfuK9GnTpql///76/vvv9fzzz+c7z6ioKJ06dUpr165V3bp1VaZMGZUpU+ZP1TM6OlqHDh3SwoUL1ahRIy1btkxLliwp0jz8/PzUt29fjRgxQsHBwQoJCdHo0aOLfDfDV199pYkTJ6pLly5avXq1/vWvf2nZsmWSLrbZpk2bqkuXLnrppZdUo0YN/fzzz1q+fLm6dOmihg0bKjo6WosXL1bHjh3lcDj0zDPP5LjC6M4779T06dPVpEkTZWVl6cknn3S52qJixYry8fHRihUrVLlyZXl7eyswMFCSrCv6xo0bp+eee65I63YjGjZsmBo1aqTnn39e3bt319dff63p06f/6V4kC2pb+bHT7nLzxBNPKD4+Xg0bNtRtt92m9957Tzt37lS1atXsrla+YmJi1LNnT+uYVa9ePf3222/67LPPFBcXp7vuuivf887IyEg5HA4tXbpUd911l3x8fKyrb3r27Knhw4dr5syZmjdvXr71KOg8CRfDnfvvv199+vRRnTp15O/vry1btmjixInq3LmzVe5f//qXy/7z7bffatasWZIufiZjxoxRfHy8EhIS9Ouvv2rQoEF68MEHrVuj8xIVFaUvvvhCDzzwgJx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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', hue='Gender', data=mart\n",
    "           , order=['Electronic_accessories', 'Fashion_accessories',\n",
    "       'Food_and_beverages', 'Health_and_beauty', 'Home_and_lifestyle',\n",
    "       'Sports_and_travel'], capsize=0.2, ci=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7d1af00d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', hue='Gender', data=mart\n",
    "           , order=['Electronic_accessories', 'Fashion_accessories',\n",
    "       'Food_and_beverages', 'Health_and_beauty', 'Home_and_lifestyle',\n",
    "       'Sports_and_travel'], capsize=0.2, ci=None, color='red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "030aa211",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', hue='Gender', data=mart\n",
    "           , order=['Electronic_accessories', 'Fashion_accessories',\n",
    "       'Food_and_beverages', 'Health_and_beauty', 'Home_and_lifestyle',\n",
    "       'Sports_and_travel'], capsize=0.2, ci=None, palette='BuPu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "24f47c6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', hue='Gender', data=mart\n",
    "           , order=['Electronic_accessories', 'Fashion_accessories',\n",
    "       'Food_and_beverages', 'Health_and_beauty', 'Home_and_lifestyle',\n",
    "       'Sports_and_travel'], capsize=0.2, ci=None, palette='BuPu', hue_order=['Male', 'Female']\n",
    "           , saturation=0.4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "12c61f40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product line', ylabel='Total'>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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lmYyMDHPs2DHz22+/GX9/f/PJJ59Y7Thy5Ihxc3MzX331lTGm8L5oaftJOPvZ4OPjY4YOHWp+//33ImskmaCgIDN9+nSTlpZm/vnPfxoXFxezc+dOY8zZ393h4eHWZ+6KFStMzZo1Te/eva1p9O7d2/j4+Jj4+HizY8cOs337dnP06FFTrVo188ILL1jfE8aU/JukJGXZl+jdu7fx8/Mzjz/+uElNTTVffPGF8fLycvod2KlTJ1O/fn2zbt06s2XLFtOiRQvj6elp/VYuSXkzhE8//dQsWLDA7Nq1y2zdutXExcWZBg0amPz8fGOMMVOmTDHVq1e3Pk/ODatatapVU1pfu/B38rWEgO4q17t3b+Pi4mK8vb2dHi+88IIxxnknZsaMGSY6OtppY87JyTGenp7WD4nw8HAzevToYudX1E7RmDFjjKurq9XZjDEmKSnJuLi4mP3791vDvvvuOyPJbNq0yXqdl5eXOX78uFUzYsQI06xZM+v5+V92aWlpRpJZtmxZOdZQ8QYMGGDuu+8+63lJy/7ll1+aChUqmLS0tCLHx8fHm0cffdRp2OrVq02FChXM6dOnzYIFC4yfn5/Tsp6TnJxsJJm9e/cWOe3w8HDz8ssvOw277bbbzIABA4wx//uROXnyZKeaCz947rjjDjN27FinmtmzZ5uwsDBjjDETJkwwderUMbm5uUW241pWVD/5y1/+Uqjuk08+MUFBQdbzBg0aOP2IPt+5nb/zf5gvWbLESDKnT582xhTeKSrre/l///d/1vhz/aasP9IudPfdd5thw4YZY4w5fvy4cXd3twK5C7377rvG19fX2pG80B/ZhkrqAydPnjSurq5m7ty51rDc3FwTHh5u/Zg6t74/++wzp9deuI4jIiIKBW4vvviiiYmJMcYYM3jwYHPXXXc5fQ5er4rb7v/xj38U+i546623jI+Pj8nPzy/T+zFq1CinH1vGGPP000+XOaAryvnbqjFnP/9vv/12p5rbbrvNPP3008aYs5/LLi4u5sCBA9b4//znP+UO6F555RVrWF5enqlWrZoVbDz77LOmQ4cOTq87cOCA9SPJGGO6du1q+vbta41/9913TWhoqDlz5owxpvR+Y8zZ79ahQ4eW2uYLv7dCQkLM+PHjrednzpwx1atXt340njx50nh4eFgh+zn9+vUzf/3rX40xxsTFxZmHH3641Hlfb4rbf/Lw8LC249K+24tyLhw6F7ydH3YYU/yPgho1api//e1v1vOCggITHBxspk2bdlHL99prr5kmTZpYz0vb5zpx4oRxc3Nz+qfn0aNHjaenZ7kCuo4dOzoNe+CBB6zgZMWKFcbPz6/QD94//elP5t133y12uvXq1TNTpkyxnpcW0J3r21u3bnWqefXVV03dunWt55999pnx8fExJ0+eLNPyXW/K0gd69uxp2rdv7/S6ESNGmHr16lnPL9x2MzIyjCTz7LPPWsPWr19vJFlhw8X0rZIU1+9K2keLiYkxjz/+uNN0mjVrdkkCOmOMefLJJ50OTNi9e7dxOBzmp59+cppO27ZtzahRo4wxZdvvvPA79oknnnAKJydPnmxq1aplfT+Xdz8JZ3366acmICDAeHh4mBYtWphRo0aZ//73v9Z4SUVuP+f+0f/ee++ZgIAAp8+XJUuWmAoVKphDhw4ZY85uQyEhIdaBMufUqFGjUPBV0rZRXhfuS/Tu3dvUqFHD2m8xxpj777/fPPDAA8aY//0GP/+fqKmpqUZSmQI6Y8qeIRTlXMC3fft263nFihXNN998Y9XExMSYESNGGGPK1teu5YCOU1yvAW3atFFKSorTY+DAgYXqkpOTtXv3bvn6+lrXbQoMDNTvv/+uPXv2KDMzUz///LPatm1b7jbUqFHD6bpGqampioiIUEREhDWsXr16qlSpklJTU61hkZGR8vX1tZ6HhYUVe2pISkqKXFxc1KpVq3K3T5LeeecdNW3aVFWqVJGPj4+mT5+u/fv3S1Kpy56SkqJq1aqpTp06RY5PTk7WrFmzrPXq4+Oj2NhYFRQUKD09Xe3bt1eNGjVUq1YtxcfHa+7cufrtt98kSY0aNVLbtm3VoEED3X///Zo+fbqysrIkScePH9fPP/+sli1bOs2vZcuWTutRkpo2bVri8icnJ+uFF15wamP//v2VkZGh3377Tffff79Onz6tWrVqqX///lq0aJHTKVjXugv7yZtvvqmvv/5a7du3V9WqVeXr66uHHnpIR48etU6xGDJkiF566SW1bNlSY8aM0bZt2wpNt2HDhtbfYWFhklTkNlye97Ks07xQfn6+Xn75ZTVs2FBBQUHy8fFRUlKStZ2npqYqJyenxO381ltvLfbaj39kGyqpD+zZs0d5eXlO68bV1VV//vOfy7WdHzlyRAcOHFC/fv2c2vjSSy9Zh8b36dNHKSkpio6O1pAhQ5SUlFTqer2WFbXdp6amKiYmxjptQjq7HZ48eVIHDx4s0/uRmpqq5s2bO00jJiamzO0qbVs95/y+IDl/R6Smpqp69eqqVq3aRbWhqNdUrFhRTZs2tZYzOTlZX3/9tdP2dNNNN0mStU316tVLCxYssE4xmjt3rh588EG5uLhY0yip35xT1LZd0vdWdna2Dh8+rD//+c9WvYuLi5o0aWI937lzp37//Xe1b9/eaf4ffvih1f4nnnhC8+fP1y233KKRI0dq3bp15V6H16qi9p/+7//+zxpf2ne7JG3dulXdunVTjRo15Ovra53KduG2XBbnb+8Oh0OhoaFl+uyXzl4q4/bbb1doaKh8fHz07LPPFmpDSftce/bsUW5urlN/CAwMVHR0dLmW4cI+GBMT49SfTp48afX5c4/09HRrezx16pRGjhxp7TP6+Pjo+++/v6j1eaE+ffpo9+7d2rBhg6SzlzXp0aOHvL29//C0r1Wl9YHU1NQi91t++OEH5efnW8PO33ZDQkIkSQ0aNCg07Nz2Vpa+VZKy9ruS9qfOfRee72K+Q8rq22+/lTFGderUcVruVatWWdt/WfY7L9S/f38lJSXpp59+knT29NVzN4m6UFn2k3DWfffdp59//lmff/65YmNjtXLlSjVu3Ng6lV4q+fMuNTVVjRo1cvp8admypQoKCpxOtW7QoEGZrjt3MdvGOSXtS5xz8803W/stUuH9rXP7R+fcdNNNl+SGRxdmCNLZ76OePXuqVq1a8vPzsy5bcK7NVapUUfv27a3TbNPT07V+/Xr16tVLUtn62rWMm0RcA7y9vRUVFVVqXUFBgZo0aVLkOeNVqlRRhQoXn8deuHNjjCnyi+HC4RdeCNLhcBS6ls85f+SGB5988on+/ve/a8KECYqJiZGvr6/Gjx9vXVurtGmXNr6goECPPfZYkddsq169utzc3PTtt99q5cqVSkpK0nPPPaeEhARt3rxZlSpV0rJly7Ru3TolJSVpypQpGj16tDZu3KigoCBJKrQui1q/pe1gFhQU6Pnnn9e9995baJyHh4ciIiKUlpamZcuWafny5RowYIDGjx+vVatWXRcX7Lywn+zbt0933323Hn/8cb344osKDAzUmjVr1K9fP+uaC4888ohiY2O1ZMkSJSUlady4cZowYYIGDx5sTef8dXPuPSluGz6/5pyi3svyTvOcCRMmaNKkSZo8ebJ1bb2hQ4cqNzdX0qXZzi92G/L19S22DxhjnJb1nPJu5+fW0fTp09WsWTOnced2Oho3bqz09HT95z//0fLly9WjRw+1a9fO6Zpc15Oivh+KWq/nvwdleT/O1Vys0rbVc0r6jiiqDUV971yM8/tdXFycXn311UI1537sxcXFqaCgQEuWLNFtt92m1atXa+LEiVZdaf3mnAu37dK+ty5s6znnr5dz62rJkiWqWrWqU925m0l16tRJ+/bt05IlS7R8+XK1bdtWAwcO1Ouvv17M2rl+FNU/Dh48aP1d2nf7qVOn1KFDB3Xo0EFz5sxRlSpVtH//fsXGxhbalsuiPPtE59uwYYMefPBBPf/884qNjZW/v7/mz59f6Fph5e1Pl8r5/SksLKzI6wCd+6E3YsQIffnll3r99dcVFRUlT09P/eUvf3Fan+d/Tp1z/rWSihMcHKy4uDjNnDlTtWrV0tKlS6+faxJdpNL6QEnfF+crar+lpH2Z0vpWScrT7y52f+pyKCgokIuLi5KTk52CEEnWza7Kst95oVtvvVWNGjXShx9+qNjYWG3fvl1ffPFFsW2QSt5Pwv94eHioffv2at++vZ577jk98sgjGjNmjPr06VPsa87fTypun+T84WX9B8HFbBtS2fclyvL9cKn2sc5X1PLHxcUpIiJC06dPV3h4uAoKClS/fn2n/t2rVy89+eSTmjJliubNm6ebb75ZjRo1klS2vnYt4wi660jjxo31ww8/KDg4WFFRUU4Pf39/+fr6KjIyUitWrCh2Gq6urk7/MStOvXr1tH//fh04cMAatnPnTmVnZ6tu3boX1f4GDRqooKBAq1atKvdrV69erRYtWmjAgAG69dZbFRUV5ZSgl7bsDRs21MGDB7Vr164ixzdu3FjfffddofUaFRVl/VekYsWKateunV577TVt27ZNe/fu1VdffSXp7Adey5Yt9fzzz2vr1q1yc3PTokWL5Ofnp/DwcK1Zs8ZpfuvWrSv3emzcuLHS0tKKbOO5cNbT01Ndu3bVm2++qZUrV2r9+vXavn17ueZzrdiyZYvOnDmjCRMmqHnz5qpTp45+/vnnQnURERF6/PHHtXDhQg0bNkzTp0+/qPldyveyOKtXr1a3bt30t7/9TY0aNVKtWrX0ww8/WONr164tT0/PErfzlJSUYu9Q9Ue3oeL6wLl+cv66ycvL05YtW8q1bkJCQlS1alX9+OOPhdp37r9v0tn34oEHHtD06dP18ccfa8GCBZf1rlxXm3r16mndunVOP7LWrVsnX19fVa1atUzvR7169ayjUM658HlJSttWy7oc+/fvd+q3Zb2hyvnOb/eZM2eUnJxsHSV37rM9MjKy0DZ1bqfS09NT9957r+bOnauPPvpIderUcTqKrSz9piilfW/5+/srJCREmzZtsobl5+dr69atTuvI3d1d+/fvLzTv849wr1Klivr06aM5c+Zo8uTJ5bo5wfWstO/277//Xr/88oteeeUV3XHHHbrppptKPeLNzc2tTPtR5bF27VrVqFFDo0ePVtOmTVW7dm3t27evXNOIioqSq6urU3/Iysoqdr+nOEV9Lpzfnw4dOqSKFSsWWp+VK1eWdHa779Onj+655x41aNBAoaGhhW5AU6VKFWVkZFjPf/jhB6ejUc/tdxW1nh955BHNnz9f7777rv70pz8VOjoMzurVq1fkfkudOnX+UKBTlv3m4lxMvytK3bp1/9D3WHndeuutys/PV2ZmZqFlDg0NteqK2+8sbbueOXOm3n//fbVr187p8/18Zd1PQtHq1avndCOTkj7v6tWrp5SUFKf6tWvXqkKFCsWekXVOcd8TF/ObpLR9ibKoW7euzpw543Sjl7S0NB07dqzM0yhrhnD06FGlpqbqn//8p9q2bau6detaZ5adr3v37vr999+VmJioefPm6W9/+5s1rqx97VrFEXTXgJycnEJ3papYsaK1s3NOr169NH78eHXr1s26k+T+/fu1cOFCjRgxQtWqVVNCQoIef/xxBQcHq1OnTjpx4oTWrl1rpfPnQqyWLVvK3d292LvFtmvXTg0bNlSvXr00efJknTlzRgMGDFCrVq1KPRWzOJGRkerdu7f69u2rN998U40aNdK+ffuUmZmpHj16lPjaqKgoffjhh/ryyy9Vs2ZNzZ49W5s3b3b6Mipp2Vu1aqU777xT9913nyZOnKioqCh9//33cjgc6tixo55++mk1b95cAwcOVP/+/eXt7a3U1FQtW7ZMU6ZM0eLFi/Xjjz/qzjvvVEBAgJYuXaqCggJFR0dr48aNWrFihTp06KDg4GBt3LhRR44csX4IjxgxQmPGjNGf/vQn3XLLLZo5c6ZSUlLKdfccSXruuefUpUsXRURE6P7771eFChW0bds2bd++XS+99JJmzZql/Px8NWvWTF5eXpo9e7Y8PT1Vo0aN8r9Z14A//elPOnPmjKZMmaK4uDitXbtW77zzjlPN0KFD1alTJ9WpU0dZWVn66quv/lCYdqney+JERUVpwYIFWrdunQICAjRx4kQdOnTIarOHh4eefvppjRw5Um5ubmrZsqWOHDmi7777Tv369dNf//pXjR071rqjVFhYmLZu3arw8HDFxMT8oW2opD7g7e2tJ554QiNGjFBgYKCqV6+u1157Tb/99pv69etXrnWQkJCgIUOGyM/PT506dVJOTo62bNmirKwsPfXUU5o0aZLCwsJ0yy23qEKFCvrXv/6l0NDQS3KY/rViwIABmjx5sgYPHqxBgwYpLS1NY8aM0VNPPaUKFSqU6f14/PHHNWHCBD311FN67LHHrNOVyqq0bbUs2rVrp+joaD300EOaMGGCjh8/rtGjR5d3deitt95S7dq1VbduXU2aNElZWVnq27evJGngwIGaPn26/vrXv2rEiBGqXLmydu/erfnz52v69OnWD9RevXopLi5O3333ndNOolT6Z29J66i0763Bgwdr3LhxioqK0k033aQpU6YoKyvL+i+3r6+vhg8frr///e8qKCjQ7bffruPHj2vdunXy8fFR79699dxzz6lJkya6+eablZOTo8WLF1+yfxpc60r7bj93hPyUKVP0+OOPa8eOHXrxxRdLnGZkZKROnjypFStWqFGjRvLy8pKXl9cfamdUVJT279+v+fPn67bbbtOSJUu0aNGick3Dx8dH/fr104gRIxQUFKSQkBCNHj263GdXrF27Vq+99pq6d++uZcuW6V//+peWLFki6WyfjYmJUffu3fXqq68qOjpaP//8s5YuXaru3buradOmioqK0sKFCxUXFyeHw6Fnn3220BFPd911l6ZOnarmzZuroKBATz/9tNPRH8HBwfL09FRiYqKqVasmDw8P+fv7S5J1hOFLL72kF154oVzLdiMaNmyYbrvtNr344ot64IEHtH79ek2dOvUP3/WztL5Vkovpd0V58skn1bt3bzVt2lS333675s6dq++++061atW62MUqUZ06ddSrVy/rO+vWW2/VL7/8oq+++koNGjTQ3XffXeJ+Z40aNeRwOLR48WLdfffd8vT0tI4G6tWrl4YPH67p06frww8/LLEdpe0n4WxIdP/996tv375q2LChfH19tWXLFr322mvq1q2bVfevf/3LafvZtGmTZsyYIensezJmzBj17t1bCQkJOnLkiAYPHqz4+HjrlO/iREZG6ptvvtGDDz4od3d3Va5c+aJ/k5RlX6I00dHR6tixo/r376/33ntPFStW1NChQ8t1dltZM4SAgAAFBQXpvffeU1hYmPbv31/ojq3S2SPvunXrpmeffVapqanq2bOnNa4sfe2adiUveIfy6927t5FU6BEdHW2MKXxBxoyMDPPQQw+ZypUrG3d3d1OrVi3Tv39/k52dbdW88847Jjo62ri6upqwsDAzePBga9znn39uoqKiTMWKFU2NGjWMMYUvPnrOvn37TNeuXY23t7fx9fU1999/v3VRzOJeN2nSJGu6xhS+4Orp06fN3//+dxMWFmbc3NxMVFRUme6+9fvvv5s+ffoYf39/U6lSJfPEE0+YZ555ptD8S1r2o0ePmocfftgEBQUZDw8PU79+fbN48WJr/KZNm0z79u2Nj4+P8fb2Ng0bNrRuCLB69WrTqlUrExAQYDw9PU3Dhg2tu+fs3LnTxMbGmipVqhh3d3dTp04dp4sh5+fnm+eff95UrVrVuLq6mkaNGpn//Oc/1vjiLoZc1MUvExMTrbvu+Pn5mT//+c/WHXoWLVpkmjVrZvz8/Iy3t7dp3ry508V1r2XF3als4sSJJiwszHh6eprY2Fjz4YcfOl2Ad9CgQeZPf/qTcXd3N1WqVDHx8fHW3R2Luljv1q1bjSSTnp5ujCm8jV/Me5mVlWUkma+//rrU5Tx69Kjp1q2b8fHxMcHBweaf//yneeihh5yWPT8/37z00kumRo0axtXV1VSvXt3pAvZ79+419913n/Hz8zNeXl6madOmZuPGjdb4i92GSuoDxpzt24MHD7Y+m1q2bGndUKa49V3UOjbGmLlz55pbbrnFuLm5mYCAAHPnnXeahQsXGmPOXrT3lltuMd7e3sbPz8+0bdvWfPvtt6Wu22tRSXf5XrlypbntttuMm5ubCQ0NNU8//bTTnYJLez+MMeaLL74wUVFRxt3d3dxxxx3m/fffL/NNIsqyrV74+W+MMd26dXO6A1paWpq5/fbbjZubm6lTp45JTEws900i5s2bZ5o1a2bc3NxM3bp1zYoVK5zqdu3aZe655x5TqVIl4+npaW666SYzdOhQpxtknDlzxoSFhRlJZs+ePYXmVVK/MaboiyeX5XsrLy/PDBo0yPj5+ZmAgADz9NNPm/vvv988+OCDVk1BQYF54403rO+2KlWqmNjYWOvuby+++KKpW7eu8fT0NIGBgaZbt27mxx9/LHX9XevKcgdLY0r+bjfGmHnz5pnIyEjj7u5uYmJizOeff+70OV7UZ9fjjz9ugoKCjCTr7slFXRS8UaNGTndXLsmIESNMUFCQ8fHxMQ888ICZNGmS0z5AWfa5Tpw4Yf72t78ZLy8vExISYl577bUi+2FxatSoYZ5//nnTo0cPaxoX3sDq+PHjZvDgwSY8PNy4urqaiIgI06tXL+umYunp6aZNmzbG09PTREREmKlTpxZqw08//WQ6dOhgvL29Te3atc3SpUudbhJhjDHTp083ERERpkKFCk4X6jfm7M1fXFxczM8//1ym5bpelbUPfPrpp6ZevXrWPsP5N6Yxpuht98LPtKL2b0rrWyW5mH534T6aMca8/PLLpnLlysbHx8f07t3bjBw58rLdJMKY/91RMzIy0ri6uprQ0FBzzz33mG3bthljSt7vNMaYF154wYSGhhqHw+H0XWjM2RtvBAYGFroJS3n3k3D2+/eZZ54xjRs3Nv7+/sbLy8tER0ebf/7zn+a3334zxpzdxt966y3Tvn174+7ubmrUqGE++ugjp+ls27bNtGnTxnh4eJjAwEDTv39/60YmxhTfB9evX28aNmxo3N3dzbk4prRto6RlKW1foqh2XLj9ZmRkmM6dOxt3d3dTvXp18+GHHxbZ94tTngxh2bJlpm7dusbd3d00bNjQrFy5ssj9pHM3frnzzjsLTaO0vnYt3yTCYcxlvCgFAAAALomCggLVrVtXPXr0uKgjSoAbQf/+/XX48GF9/vnndjcFuGTat2+vunXr6s0337S7KTcEh8OhRYsWqXv37nY3BTcYTnEFAAC4Cu3bt09JSUlq1aqVcnJyNHXqVKWnpzud6gHgrOzsbG3evFlz587Vv//9b7ubA1wSv/76q5KSkvTVV19p6tSpdjcHwGXGTSJwTXj88cedbqN8/uPxxx+3u3nAJdGpU6dit/OxY8fa3TzAcjVsq2PHji22DZ06dboibbjcKlSooFmzZum2225Ty5YttX37di1fvpxryF1nroZtefXq1cW24Vq5K163bt3UtWtXPfbYY2rfvr3dzUExrpZtraQ2rF69+oq1ozSNGzfWY489Zl3XETeWq+E38Ny5c4ttw80333xF2nAj4RRXXBMyMzN1/PjxIsf5+fkpODj4CrcIuPR++uknnT59ushxgYGBCgwMvMItAop2NWyrv/76a7F35/X09FTVqlUvexuAS+Fq2JZPnz6tn376qdjxUVFRl70NuDFcLdva7t27ix1XtWrVcl0gH7hcrobfwCdOnNDhw4eLHOfq6nrd3nDQLgR0AAAAAAAAgI04xRUAAAAAAACwEQEdAAAAAAAAYCMCOgAAAAAAAMBGBHQAAAAoUUJCgm655ZYrPt9Zs2apUqVKtrcDAADgciOgAwAAuAb16dNHDodDDodDrq6uqlWrloYPH65Tp07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      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,5))\n",
    "sns.barplot(x='Product line', y = 'Total', hue='Gender', data=mart\n",
    "           , order=['Electronic_accessories', 'Fashion_accessories',\n",
    "       'Food_and_beverages', 'Health_and_beauty', 'Home_and_lifestyle',\n",
    "       'Sports_and_travel'], capsize=0.2, ci=None, palette='BuPu', hue_order=['Male', 'Female']\n",
    "           , saturation=0.4, estimator=sum)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1578b671",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}